분류 전체보기
- 4-6. 범주형-범주형의 빈도에 대한 독립성(연관성) 검정(카이제곱, Exact, trend test) 2019.02.21 1
- 4-5. 상관관계(계수, 산점도), t-test, anova 간단 복습 2019.02.21
- 4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling 2019.02.21
- 4-3. Rmarkdown ANOVA 와 interactionplot 2019.02.21 1
- 4-2. Rmarkdown T-test 2019.02.20
- 02. 19 분석 피드백 2019.02.20
- 4-2. 3집단 이상의 (숫자형)분석 ANOVA 2019.02.19
- 4-1. 2개 집단의 평균 비교 - t-test 2019.02.19 4
- 4. Rmarkdown - 상관계수와 산점도 matrix 2019.02.19
- 엑셀 좌우 스크롤 적용하기 2019.02.19
- 4. 상관계수 정리 2019.02.18 1
- 3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) 2019.02.17
- 3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 2019.02.17
- 3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM) 2019.02.16
- 3-3 Rmarkdown 이상치와 결측치 2019.02.16
4-6. 범주형-범주형의 빈도에 대한 독립성(연관성) 검정(카이제곱, Exact, trend test)
범주형 - 범주형에 대한 분석
- 각 범주별 빈도 확인
카이제곱 검정
2가지
1)적합도 검정(GOF, goodness of Fit test)
: 실제 관측된 범주별 빈도 - 관측값(Obs)들이 특정한 확률-예상값(E)과의 차이가 유의미한지 안하는지를 검정
(1) H0 : 관측값(관측값의 도수)와 예상값(기대 관측도수)가 동일하다
(2) H1 : 적어도 하나의 범주(집단, 수준, class)의 도수가 가정한 이론도수(기대관측도수)와 다르다.
2)독립성 검정
: 요인(범주) 2개가 서로 연관이 있는지 검정
(1) H0 : 두 범주형 변수 X, Y는 독립이다. -> 연관성 없다
(2) H1 : 두 범주형 변수 X, Y는 독립이 아니다 -> 연관성 없다.
Fisher's Exact test
: (교차표상에서) 각 관측값들로 구한 기대값(Expected)가 5이하로 나타난 cell이 25%이상(1/4이상)일 때 쓰는 범주1-범주2의 독립성 test
ex> 2x2교차표에서 25%(1/4)= 1개 : cell에 대해서 expected가 5이하가 한개라도 나오면, Fisher exact test로 변환해서 수행.- R상에서 warning message로
카이제곱 approximation은 정확하지 않을수도 있습니다.
라 는 문구가 나오면, 카이제곱이 아닌 Fisher's Exact test로 연관성(독립성)검정한다. - 과거의 많은 의료논문에서 cell 25%이상이 expected 5이하인데도 카이제곱 검정으로 연관성 테스트를 한 경우가 많다고 한다.
- R상에서 warning message로
Trend test
: 독립변수로서 순서를 가진(3집단 이상의) 범주형 - 2집단의 범주(종속변수)에 대해, 독립변수(순서가진 3집단의 범주1)의 순위가 증가함에 따라 종속변수(2집단의 범주2)의 비율이 증가or감소하는지 경향성을 확인하는 검정- Score test for trend or Cochran-armitage test라고도 한다
H0 : 종속변수(집단2개의 범주)의 비율이 동일하다(일정하다)
H1
: 종속변수(집단2개의 범주)의 비율이 동일하지 않다 =증가/감소추세
가 있다.
my) 미리 순서가진 범주형이 있고, 종속변수는 범주를 2개를 가진다. H0는 Trend가 없다이다.
카이제곱 검정
참고 블로그 : https://m.blog.naver.com/msluv1202/220869305650
적합도 검정 (GOF)
:범주1개에 대한 범주별 빈도(관측도수)와 그 기대값(특정된 확률)을 비교한다.
아래는 교차표는 아니지만, 범주1개(동전의 앞/뒤)에 대한 관측값과 기대관측도수를 나타내었고, 카이제곱 검정통계량을 아래와 같이 구한다. 이 검정통계량을 카이제곱 분포에 대입하여, 유의확률을 계산하여 H0(관측값과 예상값이 동일하다)를 기각하던지 기각하지 않던지 보면 된다.독립성 검정
: 일반적으로 많이 사용하는 카이제곱 검정으로, 쉽게 말해서, 범주1별 빈도와 범주2별 빈도의교차표(contingency table)
로 카이제곱 검정통계량을 계산한다. - 범주가 2개인 교차표에서 각 관측값들에 대한 Expected(기대값)을 계산 하는 법
(1) 아래와 같이 범주1(A,B,C,D) + 범주2(white, blue, no collar) + total의 교차표가 있다고 가정
(2) 첫번째 관측값( A & white colooar)인 90에 대한 Expected를 구해보자.
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-6. Rmarkdown 카이제곱 test, Fisher's Exact test, trend test (0) | 2019.02.22 |
---|---|
4-7. 2집단(t-test), 3집단(ANOVA) : 범주별 숫자형의 평균차이의 비모수 통계 분석 (9) | 2019.02.21 |
4-5. 상관관계(계수, 산점도), t-test, anova 간단 복습 (0) | 2019.02.21 |
4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling (0) | 2019.02.21 |
4-3. Rmarkdown ANOVA 와 interactionplot (1) | 2019.02.21 |
4-5. 상관관계(계수, 산점도), t-test, anova 간단 복습
Untitled
내용정리
- 상관관계 : 숫자형-숫자형 변수의 관계, 직선성에 대한 척도, 그래프시 산점도 / 분석시 상관관계
- t-test : 범주(요인) 1개 속 2개의 집단(수준, class, 범주의 종류)별 숫자형의 평균차이 검정
- anova : 범주(요인) 1개 or 2개 속 3개의 집단(수준, class, 범주의 종류)별 숫자형의 평균차이를 분산분석으로 검정
상관관계
- moonBook 의 acs데이터
- 숫자형 hegiht, weight, bmi칼럼만 가져와서 acs2로 만들고 산점도, 히트
# 0. 데이터 준비
library(moonBook)
data(acs)
head(acs)
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168 72
## 2 78 Female No Femoral STEMI 18.4 148 48
## 3 76 Female Yes Femoral STEMI 20.0 NA NA
## 4 89 Female No Femoral STEMI 21.8 165 50
## 5 56 Male No Radial NSTEMI 21.8 162 64
## 6 73 Female No Radial Unstable Angina 22.0 153 59
## BMI obesity TC LDLC HDLC TG DM HBP smoking
## 1 25.51020 Yes 215 154 35 155 Yes No Smoker
## 2 21.91381 No NA NA NA 166 No Yes Never
## 3 NA No NA NA NA NA No Yes Never
## 4 18.36547 No 121 73 20 89 No No Never
## 5 24.38653 No 195 151 36 63 Yes Yes Smoker
## 6 25.20398 Yes 184 112 38 137 Yes Yes Never
# 1. 숫자형 필요칼럼만 뽑기
acs2 <- acs[, c("height", "weight", "BMI")]
# 2. 상관계수 행렬
cor( acs2, use = "na.or.complete")
## height weight BMI
## height 1.000000000 0.6315767 -0.009049596
## weight 0.631576661 1.0000000 0.762441135
## BMI -0.009049596 0.7624411 1.000000000
# 3. 산점도+상관계수 행렬 pairplot 1
library(psych)
pairs.panels(acs2)
# 4. 산점도+상관계수 행렬 pairplot 2
library(PerformanceAnalytics)
## Loading required package: xts
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
##
## Attaching package: 'PerformanceAnalytics'
## The following object is masked from 'package:graphics':
##
## legend
chart.Correlation(acs2, histogram = TRUE, pch = 19)
# 5. 상관계수 heatmap
library(corrplot)
## corrplot 0.84 loaded
corrplot(cor(acs2,use="na.or.complete"))
t-test
- 독립표본 : sex(요인, 범주)의 2집단(수준, class)별 BMI의 평균 차이 검정
- 보정된t-test : age까지 요인으로 추가
#### 1. 독립표본 t-test
# 데이터 준비
# 1. 독립성 생략
# 2. 정규성 생략
# 3. 등분산성 검정 : 집단별로 BMI를 인덱싱한 뒤, 등분산성 체크
var.test(acs[ acs$sex == "Male", ]$BMI, acs[acs$sex == "Female",]$BMI)
##
## F test to compare two variances
##
## data: acs[acs$sex == "Male", ]$BMI and acs[acs$sex == "Female", ]$BMI
## F = 0.82798, num df = 508, denom df = 254, p-value = 0.07756
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
## 0.6663069 1.0210005
## sample estimates:
## ratio of variances
## 0.8279795
# 4. 독립표본 t-test
t.test(BMI ~ sex, data = acs, var.equal = T)
##
## Two Sample t-test
##
## data: BMI by sex
## t = -0.50823, df = 762, p-value = 0.6114
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.6348532 0.3737344
## sample estimates:
## mean in group Female mean in group Male
## 24.19492 24.32548
#### 2. 보정된 t-test
summary(aov(BMI ~ age + sex, data = acs)) # 기존 sex가 +뒤에 있으며, 이 것의 p-value 보는 것이 목적
## Df Sum Sq Mean Sq F value Pr(>F)
## age 1 386 385.8 36.097 2.91e-09 ***
## sex 1 26 25.9 2.427 0.12
## Residuals 761 8134 10.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 93 observations deleted due to missingness
#### 3. 대응표본 t-test
# 데이터 준비 : 같은 길이를 가진 데이터야한다.
Before_score = c(80,30,50,40,40,10,20,30,60,70)
After_score = c(95,40,60,45,40,15,20,25,67,90)
t.test(Before_score, After_score, paired=T)
##
## Paired t-test
##
## data: Before_score and After_score
## t = -2.8423, df = 9, p-value = 0.01933
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -12.032489 -1.367511
## sample estimates:
## mean of the differences
## -6.7
ANOVA
- 1way : smoking요인(범주)의 3집단(수준, class)별 TG의 평균차이 검정
- 2way : Dx, smoking
#### 1. 1way anova
# 1.숫자형으로 되어있다면 범주형으로 타입 변경 생략
# 2. 범주별 숫자의 boxplot, mean, sd 생략
# 3. 등분산성 검정 생략
# 4. anova
aov <- aov(TG ~ smoking, data= acs)
summary(aov)
## Df Sum Sq Mean Sq F value Pr(>F)
## smoking 2 65695 32848 4.008 0.0185 *
## Residuals 839 6876082 8196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 15 observations deleted due to missingness
# 5. 사후분석 Duncan
library(laercio)
LDuncan(aov, "group")
##
## DUNCAN TEST TO COMPARE MEANS
##
## Confidence Level: 0.95
## Dependent Variable: TG
## Variation Coefficient: 72.28546 %
##
##
## Independent Variable: smoking
## Factors Means
## Smoker 136.490566037736 a
## Never 119.496913580247 b
## Ex-smoker 116.65 b
#### 2. 2way anova
# 1. 2way anova
aov2 <- aov( TG ~ smoking + Dx, data = acs)
summary(aov2) # 두 요인 모두 유의
## Df Sum Sq Mean Sq F value Pr(>F)
## smoking 2 65695 32848 4.119 0.0166 *
## Dx 2 201756 100878 12.651 3.87e-06 ***
## Residuals 837 6674326 7974
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 15 observations deleted due to missingness
aov2 <- aov( TG ~ Dx + smoking , data = acs)
summary(aov2) # 두 요인 모두 유의 but 수준차이가 난다...
## Df Sum Sq Mean Sq F value Pr(>F)
## Dx 2 166365 83182 10.432 3.35e-05 ***
## smoking 2 101087 50543 6.338 0.00185 **
## Residuals 837 6674326 7974
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 15 observations deleted due to missingness
# 2. interactioplot
par(mfrow=c(1,2))
mean.rm.na <- function(x) mean(x,na.rm=T) # interaction.plot에 들어가는 집계함수를 직접 정의***
interaction.plot(acs$smoking,acs$Dx, acs$TG,fun=mean.rm.na)
interaction.plot(acs$Dx,acs$smoking, acs$TG,fun=mean.rm.na)
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-7. 2집단(t-test), 3집단(ANOVA) : 범주별 숫자형의 평균차이의 비모수 통계 분석 (9) | 2019.02.21 |
---|---|
4-6. 범주형-범주형의 빈도에 대한 독립성(연관성) 검정(카이제곱, Exact, trend test) (1) | 2019.02.21 |
4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling (0) | 2019.02.21 |
4-3. Rmarkdown ANOVA 와 interactionplot (1) | 2019.02.21 |
4-2. Rmarkdown T-test (0) | 2019.02.20 |
4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling
R Notebook
칼럼명 확인과 변경
# 데이터 준비
iris2 <- iris
head(iris2)
# 칼럼명확인
names(iris2)
## [1] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width"
## [5] "Species"
# 칼럼명 변경
names(iris2) <- c( "first", "second", "third", "fourth", "fifth")
names(iris2)
## [1] "first" "second" "third" "fourth" "fifth"
사용자 정의함수로 ( 반복적인 작업인 ) scaling 해보기
- 정규분포에서 random한 숫자 10를 뽑아 4개의 칼럼 만들기
- 그 값들을 scaling을 통해 0~1사이 값으로 만들기
- x - min(x) / max(x) - min(x) => 분모가 가장 크므로 항상 1보다 작다.
# tibble을 활용한 데이터프레임 만들기
# library(tibble)
# 라이브러리 적용과 동시에 해당 함수 사용하기 package :: function
df <- tibble::tibble(
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
)
head(df)
summary(df)
## a b c d
## Min. :-1.5702 Min. :-1.55135 Min. :-1.97816 Min. :-1.0510
## 1st Qu.:-0.6281 1st Qu.:-0.52394 1st Qu.:-1.05749 1st Qu.:-0.2120
## Median : 0.4213 Median : 0.21181 Median :-0.23076 Median : 0.3042
## Mean : 0.1132 Mean : 0.06085 Mean :-0.03817 Mean : 0.3449
## 3rd Qu.: 0.7566 3rd Qu.: 0.83831 3rd Qu.: 1.02052 3rd Qu.: 0.7530
## Max. : 1.8824 Max. : 1.32477 Max. : 2.16831 Max. : 1.7938
# scaling은 각 칼럼마다 해줘야하므로 반복적이다.
(df$a - min(df$a, na.rm = T)) / (max(df$a, na.rm = T) - min(df$a, na.rm = T))
## [1] 0.447926340 0.002240828 0.680114530 0.583405776 0.214523807
## [6] 1.000000000 0.570234402 0.000000000 0.721868086 0.655403845
df$a <- (df$a - min(df$a, na.rm = T)) / (max(df$a, na.rm = T) - min(df$a, na.rm = T))
df$b <- (df$b - min(df$b, na.rm = T)) / (max(df$b, na.rm = T) - min(df$b, na.rm = T))
df$c <- (df$c - min(df$c, na.rm = T)) / (max(df$c, na.rm = T) - min(df$c, na.rm = T))
df$d <- (df$d - min(df$d, na.rm = T)) / (max(df$d, na.rm = T) - min(df$d, na.rm = T))
head(df)
# range()함수는 [1]에는 최소값 [2]에는 최대값을 내포한다.
rng <- range( rnorm(10) , na.rm = T)
rng[1] # 최소값
## [1] -0.7202099
rng[2] # 최대값
## [1] 1.028419
# 사용자 정의함수로 scaling 정의하기
rescale <- function (x){
rng <- range(x, na.rm = T)
( x- rng[1] ) / ( rng[2] - rng[1])
}
#테스트해보기
rescale(df$a)
## [1] 0.447926340 0.002240828 0.680114530 0.583405776 0.214523807
## [6] 1.000000000 0.570234402 0.000000000 0.721868086 0.655403845
rescale( c(0, 5, 10) )
## [1] 0.0 0.5 1.0
# 각 칼럼마다 적용해보기
df$a <- rescale(df$a)
df$b <- rescale(df$b)
df$c <- rescale(df$c)
df$d <- rescale(df$d)
head(df)
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-6. 범주형-범주형의 빈도에 대한 독립성(연관성) 검정(카이제곱, Exact, trend test) (1) | 2019.02.21 |
---|---|
4-5. 상관관계(계수, 산점도), t-test, anova 간단 복습 (0) | 2019.02.21 |
4-3. Rmarkdown ANOVA 와 interactionplot (1) | 2019.02.21 |
4-2. Rmarkdown T-test (0) | 2019.02.20 |
4-2. 3집단 이상의 (숫자형)분석 ANOVA (0) | 2019.02.19 |
4-3. Rmarkdown ANOVA 와 interactionplot
R Notebook
one-way ANOVA(요인 = 범주1개) 분석해보기
# 데이터 준비
anova_data<-data.frame(
group=c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3),
score=c(50.5, 52.1, 51.9, 52.4, 50.6, 51.4, 51.2, 52.2, 51.5, 50.8,47.5, 47.7, 46.6, 47.1, 47.2, 47.8, 45.2, 47.4, 45.0, 47.9,46.0, 47.1, 45.6, 47.1, 47.2, 46.4, 45.9, 47.1, 44.9, 46.2))
# 데이터 확인
head(anova_data)
str(anova_data)
## 'data.frame': 30 obs. of 2 variables:
## $ group: num 1 1 1 1 1 1 1 1 1 1 ...
## $ score: num 50.5 52.1 51.9 52.4 50.6 51.4 51.2 52.2 51.5 50.8 ...
# 1. 범주형 데이터를 (숫자로 나뉘어도) 문자형 변수로 변경***
# - as.character ( 칼럼인덱싱 )
anova_data$group <- as.character(anova_data$group)
str(anova_data)
## 'data.frame': 30 obs. of 2 variables:
## $ group: chr "1" "1" "1" "1" ...
## $ score: num 50.5 52.1 51.9 52.4 50.6 51.4 51.2 52.2 51.5 50.8 ...
# 2. 집단별 종속변수(숫자형) 데이터의 boxplot 확인 및 tapply(종속변수인덱싱, 범주칼럼인덱싱, 집계함수)로 집단별 종속변수의 평균과 표준편차.
boxplot(score~group,data=anova_data)
tapply(anova_data$score,anova_data$group, mean)
## 1 2 3
## 51.46 46.94 46.35
tapply(anova_data$score,anova_data$group, sd)
## 1 2 3
## 0.6834553 1.0415800 0.7763876
# 3. 아노바분석 전, 3집단 등분산성
# 3_1. bartlett.test ***
bartlett.test( score ~ as.factor(group), data= anova_data) # 0.4368
##
## Bartlett test of homogeneity of variances
##
## data: score by as.factor(group)
## Bartlett's K-squared = 1.6565, df = 2, p-value = 0.4368
# 3_2. userfriendlyscience패키지의 oneway()함수로 등분산성 테스트 및 바로 oneway 아노바 적용
# install.packages("userfriendlyscience")
library(userfriendlyscience)
# 등분산인지 확인
oneway(factor(anova_data$group),y=anova_data$score,fullDescribe=T,correction=T)
## ### Oneway Anova for y=score and x=group (groups: 1, 2, 3)
##
## Omega squared: 95% CI = [.78; .92], point estimate = .88
## Eta Squared: 95% CI = [.8; .92], point estimate = .89
##
## SS Df MS F p
## Between groups (error + effect) 156.3 2 78.15 108.81 <.001
## Within groups (error only) 19.39 27 0.72
##
##
## ### Welch correction for nonhomogeneous variances:
##
## F[2, 17.55] = 136.29, p < .001.
##
## ### Brown-Forsythe correction for nonhomogeneous variances:
##
## F[2, 23.76] = 108.81, p < .001.
# one-way anova 시행
oneway.test(score~group,data=anova_data,var.equal = T)
##
## One-way analysis of means
##
## data: score and group
## F = 108.81, num df = 2, denom df = 27, p-value = 1.199e-13
# 4. oneway 아노바 분석 aov( 종속변수 ~ 요인, data= ) : 그룹간 변동, 그룹내변동(Residual) 만 계산
# - H0 : Ma = Mb = Mc ( 모두 평균이 동일 )
# - Sum of Squares = 변동 = 편차(X-m)의 제곱 -> 제곱을 해야 합이 0이 안되므로.
# - group = 요인1에 대한 그룹간 변동 = ( 전체평균 - 그룹의 평균의 ) 의 제곱
# - Residuals = error = 그룹내 변동 =( 각 그룹별 x - 각 그룹별 평균) 의 제곱
# - aov()결과는 p-value가 안나온다.
aov( score ~ group, data = anova_data) # Sum of Square = 변동, Deg. of Freedom -> 변동의 평균 구해야하므로 필요.
## Call:
## aov(formula = score ~ group, data = anova_data)
##
## Terms:
## group Residuals
## Sum of Squares 156.302 19.393
## Deg. of Freedom 2 27
##
## Residual standard error: 0.8475018
## Estimated effects may be unbalanced
# 5. summaray( aov())를 통한 ANOVA 테이블 도출 : 여기서 p-value가 나온다.
# - Df : 자유도 -> F분포를 결정 + 변동들의 평균구할때 분모로 나눠짐
# - Sum Sq : 변동들
# - Mean sq : 변동들의 평균
# - F value : F검정 통계량 = effect(그룹간 변동의 평균) / error(그룹내 변동의 평균)
summary( aov( score ~ group, data = anova_data) ) # 1.2e-13
## Df Sum Sq Mean Sq F value Pr(>F)
## group 2 156.30 78.15 108.8 1.2e-13 ***
## Residuals 27 19.39 0.72
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# 6. 사후분석1 : laercio 패키지의 LDuncan ( 3집단 비교시 어느것이 차이가 있는지 알아야함)
# - aov()의 결과를 넣는다.
# install.packages("laercio")
library(laercio)
a1 <- aov( score ~ group, data = anova_data)
LDuncan( a1, "group" ) # 1번 그룹만 차이가 있는 그룹으로 나왔다.
##
## DUNCAN TEST TO COMPARE MEANS
##
## Confidence Level: 0.95
## Dependent Variable: score
## Variation Coefficient: 1.75648 %
##
##
## Independent Variable: group
## Factors Means
## 1 51.46 a
## 2 46.94 b
## 3 46.35 b
# 7. 사후분석2 : 튜키 정직유의검정(TukeyHSD) 및 튜키검정에 의한 평균 차이에 대한 95% 신뢰구간 plot
# 마찬가지로, aov()결과가 들어간다.
# 반드시 칼럼이 문자형이어야한다!
# 자동으로 Holm-Bonferroni correction을 통해 조절된 p-value ( p * nC2 )
TukeyHSD(aov(score~as.character(group),data=anova_data)) # 1-2 ,1-3 만 차이.. 1만 다른 집단!
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = score ~ as.character(group), data = anova_data)
##
## $`as.character(group)`
## diff lwr upr p adj
## 2-1 -4.52 -5.459735 -3.5802652 0.0000000
## 3-1 -5.11 -6.049735 -4.1702652 0.0000000
## 3-2 -0.59 -1.529735 0.3497348 0.2813795
plot(TukeyHSD(aov(score~as.character(group),data=anova_data)))
COPD데이터로 one-way 연습 (no quiz)
- 3집단을 가진 범주 : SMK_STAT_TYPE
- 종속변수 : HMG
# 데이터 준비
data <- read.csv("week4/4주차_코드/COPD_Lung_Cancer.csv")
str(data)
## 'data.frame': 944 obs. of 20 variables:
## $ PERSON_ID : int 10000065 10000183 10000269 10000471 10000788 10001096 10001122 10001260 10001546 10001919 ...
## $ SEX : int 1 1 1 1 2 2 1 1 1 1 ...
## $ DTH : int 0 0 0 0 0 0 0 0 0 0 ...
## $ CTRB_PT_TYPE_CD : int 8 9 8 1 7 3 10 10 8 8 ...
## $ BMI : num 25.7 22.8 24.5 21.6 25.6 ...
## $ BP_LWST : int 90 100 70 100 54 60 100 73 90 70 ...
## $ BLDS : int 112 105 76 70 113 137 89 98 73 233 ...
## $ TOT_CHOLE : int 177 177 156 228 199 182 243 284 221 133 ...
## $ HMG : num 12.2 15.7 13.1 14 12.1 12 17 12.1 15 8.7 ...
## $ FMLY_CANCER_PATIEN_YN: int 1 1 1 NA 1 1 1 1 1 1 ...
## $ SMK_STAT_TYPE : int 1 1 1 1 1 1 1 1 1 1 ...
## $ DRNK_HABIT : int 1 5 1 1 1 1 1 1 1 1 ...
## $ EXERCI_FREQ : int 1 1 1 1 1 1 1 2 1 1 ...
## $ lungC : int 0 0 1 0 0 0 0 0 0 0 ...
## $ copd : int 0 1 1 1 0 0 0 0 0 1 ...
## $ Asthma : int 0 1 0 0 1 0 1 1 0 1 ...
## $ DM : int 1 1 1 1 1 0 1 1 1 1 ...
## $ Tub : int 0 0 1 0 0 0 0 0 0 0 ...
## $ before_op_score : int 44 44 37 50 31 34 31 45 35 43 ...
## $ after_op_score : int 52 53 60 44 43 49 41 51 59 42 ...
# 데이터 확인
tapply(data$HMG, data$SMK_STAT_TYPE, mean, na.rm=T)
## 1 2 3
## 13.00319 13.78158 13.34242
tapply(data$HMG, data$SMK_STAT_TYPE, sd, na.rm=T)
## 1 2 3
## 1.349230 1.600059 1.393871
# 1. 범주형인데 int/num 타입으로 된 것의 인덱스만 *** 가져와서, for문을 통해
# 반복작업인 as.character로 변형해서 덮어씌우기*************8
index <- c(2, 3, 4, 10:18)
for (i in index) {
data[,i] <- as.character( data[,i] )
}
str(data)
## 'data.frame': 944 obs. of 20 variables:
## $ PERSON_ID : int 10000065 10000183 10000269 10000471 10000788 10001096 10001122 10001260 10001546 10001919 ...
## $ SEX : chr "1" "1" "1" "1" ...
## $ DTH : chr "0" "0" "0" "0" ...
## $ CTRB_PT_TYPE_CD : chr "8" "9" "8" "1" ...
## $ BMI : num 25.7 22.8 24.5 21.6 25.6 ...
## $ BP_LWST : int 90 100 70 100 54 60 100 73 90 70 ...
## $ BLDS : int 112 105 76 70 113 137 89 98 73 233 ...
## $ TOT_CHOLE : int 177 177 156 228 199 182 243 284 221 133 ...
## $ HMG : num 12.2 15.7 13.1 14 12.1 12 17 12.1 15 8.7 ...
## $ FMLY_CANCER_PATIEN_YN: chr "1" "1" "1" NA ...
## $ SMK_STAT_TYPE : chr "1" "1" "1" "1" ...
## $ DRNK_HABIT : chr "1" "5" "1" "1" ...
## $ EXERCI_FREQ : chr "1" "1" "1" "1" ...
## $ lungC : chr "0" "0" "1" "0" ...
## $ copd : chr "0" "1" "1" "1" ...
## $ Asthma : chr "0" "1" "0" "0" ...
## $ DM : chr "1" "1" "1" "1" ...
## $ Tub : chr "0" "0" "1" "0" ...
## $ before_op_score : int 44 44 37 50 31 34 31 45 35 43 ...
## $ after_op_score : int 52 53 60 44 43 49 41 51 59 42 ...
# 2. 3집단 등분산성 검정
bartlett.test( HMG ~ as.factor(SMK_STAT_TYPE), data = data) # 0.3899
##
## Bartlett test of homogeneity of variances
##
## data: HMG by as.factor(SMK_STAT_TYPE)
## Bartlett's K-squared = 4.3473, df = 2, p-value = 0.1138
# 3. 3집단 정규성 검정
unique(data$SMK_STAT_TYPE) # "1" "3" "2" NA
## [1] "1" "3" "2" NA
data1 <- data[ data$SMK_STAT_TYPE == "1", ]
data2 <- data[ data$SMK_STAT_TYPE == "2", ]
data3 <- data[ data$SMK_STAT_TYPE == "3", ]
shapiro.test(data1$HMG)
##
## Shapiro-Wilk normality test
##
## data: data1$HMG
## W = 0.99681, p-value = 0.1639
shapiro.test(data2$HMG) # 0.002898 정규성 만족안하지만, 한다고 가정
##
## Shapiro-Wilk normality test
##
## data: data2$HMG
## W = 0.94628, p-value = 0.002898
shapiro.test(data3$HMG)
##
## Shapiro-Wilk normality test
##
## data: data3$HMG
## W = 0.99057, p-value = 0.7168
# 3. 1way anova
one_way <- aov(HMG ~ SMK_STAT_TYPE, data=data)
summary(one_way) # 3.97e-06 -> 평균차이가 명확히 차이남
## Df Sum Sq Mean Sq F value Pr(>F)
## SMK_STAT_TYPE 2 47.8 23.915 12.61 3.97e-06 ***
## Residuals 892 1691.3 1.896
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 49 observations deleted due to missingness
# 4. 사후검정
library(laercio)
LDuncan(one_way, "group") # a, b, c 3집단 모두 평균이 다른 것으로 나오
##
## DUNCAN TEST TO COMPARE MEANS
##
## Confidence Level: 0.95
## Dependent Variable: HMG
## Variation Coefficient: 10.50583 %
##
##
## Independent Variable: SMK_STAT_TYPE
## Factors Means
## 2 13.7815789473684 a
## 3 13.3424242424242 b
## 1 13.0031944444444 c
2way ANOVA 와 interaction plot
- 종속변수 : BMI
- 요인 : DM 과 SMK_STAT_TYPE
# 각 요인별 boxplot
par(mfrow=c(1,2))
boxplot(BMI ~ DM,data=data,
boxwex = 0.7,
main="BMI~DM",
col = c("yellow","orange", "green"))
boxplot(BMI ~ SMK_STAT_TYPE,data=data,
boxwex = 0.5,
main="BMI~Smkoing",
col = c("blue", "coral"))
# 요인1(DM이력-3가지집단), 요인2(흡연이력-3가지집단)에 따른 BMI 평균의 차이
two_way <- aov( BMI ~ DM + SMK_STAT_TYPE ,data = data)
summary(two_way) # DM : 1.66e-05 *** , SMK_STAT_TYPE : 0.136
## Df Sum Sq Mean Sq F value Pr(>F)
## DM 1 199 198.96 18.748 1.66e-05 ***
## SMK_STAT_TYPE 2 42 21.19 1.997 0.136
## Residuals 896 9509 10.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 44 observations deleted due to missingness
# 요인2개를 순서바꿔서
two_way2 <- aov( BMI ~ SMK_STAT_TYPE + DM ,data = data)
summary(two_way2) # DM : 3.1e-05 ***, SMK_STAT_TYPE : 0.0746
## Df Sum Sq Mean Sq F value Pr(>F)
## SMK_STAT_TYPE 2 55 27.63 2.604 0.0746 .
## DM 1 186 186.08 17.534 3.1e-05 ***
## Residuals 896 9509 10.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 44 observations deleted due to missingness
# interaction plot
# - interaction.plot( x축-요인1 - 범례 - 요인2 - 종속변수)
# 요인1-종속변수에 요인2가 영향을 끼치는지 보기
par(mfrow=c(1,2))
interaction.plot(data$SMK_STAT_TYPE, data$DM, data$BMI)
interaction.plot(data$DM, data$SMK_STAT_TYPE, data$BMI)
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-5. 상관관계(계수, 산점도), t-test, anova 간단 복습 (0) | 2019.02.21 |
---|---|
4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling (0) | 2019.02.21 |
4-2. Rmarkdown T-test (0) | 2019.02.20 |
4-2. 3집단 이상의 (숫자형)분석 ANOVA (0) | 2019.02.19 |
4-1. 2개 집단의 평균 비교 - t-test (4) | 2019.02.19 |
4-2. Rmarkdown T-test
R Notebook
등분산성, 정규성 검정 후 t-test 종류별로 해보기
# 데이터 준비
t_data <- data.frame(
group = c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2),
score = c(100,100,80,50,40,90,20,50,50,70,30,40,30,70,30,40,30,60,30,60),
age = c(70,70,70,60,50,60,60,60,50,50,20,30,20,20,25,10,13,10,10,10)
)
head(t_data)
# 2집단(2범주)별 따로 데이터 인덱싱 -> 그래야 등분산성 var.test 및 t.test :
# - var.test, t.test ( 집단1의 데이터, 집단2의 데이터)
# 범주별 특정범주만 가져오기 -> 행인덱싱 자리에 넣기
t_data1 <- t_data[ t_data$group == 1, ]
t_data2 <- t_data[ t_data$group == 2, ]
# t-test 전에 확인사항 3가지 중 2가지 - 1. 등분산성 2. 정규성 => 둘다 p-value 0.05보다 커야 만족
#### 1. 등분산성 확인후 독립표본 T-검정
#### H0 : 두 집단간 평균의 차이가 없다.
# 1_1. 등분산성 by F검정( = effect(그룹간 변동의 평균) / error(그룹내 변동의 평균) )
var.test( t_data1$score , t_data2$score ) # 0.1093 -> 2그룹간 등분산 H0 기각x -> 등분산성 만족
##
## F test to compare two variances
##
## data: t_data1$score and t_data2$score
## F = 3.0787, num df = 9, denom df = 9, p-value = 0.1093
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
## 0.7647065 12.3948431
## sample estimates:
## ratio of variances
## 3.078704
# 1_2. 등분산성 확인후 t-test는 var.equal = T 옵션을 넣어야한다.
t.test( t_data1$score , t_data2$score , var.equal = TRUE) # 0.03199 : 평균차이 유의
##
## Two Sample t-test
##
## data: t_data1$score and t_data2$score
## t = 2.3247, df = 18, p-value = 0.03199
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 2.213727 43.786273
## sample estimates:
## mean of x mean of y
## 65 42
# 1_3. 등분산성 옵션을 안주면 결과가 달라진다. t.test default가 등분산성 = FALSE => Welch t-test
t.test( t_data1$score , t_data2$score, var.equal = F) # 0.03531
##
## Welch Two Sample t-test
##
## data: t_data1$score and t_data2$score
## t = 2.3247, df = 14.289, p-value = 0.03531
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 1.819881 44.180119
## sample estimates:
## mean of x mean of y
## 65 42
# 1_4. t.test()함수 다른 사용법
# : t.test( 종속변수(관측치) ~ 독립변수(범주칼럼명, 요인), dataframe, 유형(등분산성, 대응표본 등))
t.test( score ~ group, data = t_data, var.equal = T)
##
## Two Sample t-test
##
## data: score by group
## t = 2.3247, df = 18, p-value = 0.03199
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 2.213727 43.786273
## sample estimates:
## mean in group 1 mean in group 2
## 65 42
#### 2. 정규성 검정의 3가지 방법 : 0.05보다 커서 H0 기각 안되어야 만족
# 2_1. shapiro-Wilk test
shapiro.test(t_data1$score) # 0.4604 -> 정규성 만족
##
## Shapiro-Wilk normality test
##
## data: t_data1$score
## W = 0.93126, p-value = 0.4604
shapiro.test(t_data2$score) # 0.006914 -> H0기각 -> 정규성x -> Mann whitney or Wilcoxon rank-sum?
##
## Shapiro-Wilk normality test
##
## data: t_data2$score
## W = 0.77358, p-value = 0.006914
# 2_2. nortest 패키지의 ad.test
# install.packages("nortest")
library(nortest)
ad.test(t_data1$score) # 0.4458
##
## Anderson-Darling normality test
##
## data: t_data1$score
## A = 0.32911, p-value = 0.4458
ad.test(t_data2$score) # 0.006013
##
## Anderson-Darling normality test
##
## data: t_data2$score
## A = 1.0264, p-value = 0.006013
# 2_3. Kolmogrov-Smirnov test
# ks.test (test, pnorm, mean (test), sd (test))
# pnorm : 누적 정규 분포
?ks.test
## starting httpd help server ... done
ks.test(t_data1$score, "pnorm", mean(t_data1$score), sd(t_data1$score)) # 0.7726
## Warning in ks.test(t_data1$score, "pnorm", mean(t_data1$score),
## sd(t_data1$score)): ties should not be present for the Kolmogorov-Smirnov
## test
##
## One-sample Kolmogorov-Smirnov test
##
## data: t_data1$score
## D = 0.20947, p-value = 0.7726
## alternative hypothesis: two-sided
ks.test(t_data2$score, "pnorm", mean(t_data2$score), sd(t_data2$score)) # 0.41
## Warning in ks.test(t_data2$score, "pnorm", mean(t_data2$score),
## sd(t_data2$score)): ties should not be present for the Kolmogorov-Smirnov
## test
##
## One-sample Kolmogorov-Smirnov test
##
## data: t_data2$score
## D = 0.28071, p-value = 0.41
## alternative hypothesis: two-sided
ks.test(t_data1$score, pnorm)
## Warning in ks.test(t_data1$score, pnorm): ties should not be present for
## the Kolmogorov-Smirnov test
##
## One-sample Kolmogorov-Smirnov test
##
## data: t_data1$score
## D = 1, p-value = 4.122e-09
## alternative hypothesis: two-sided
ks.test(t_data2$score, pnorm)
## Warning in ks.test(t_data2$score, pnorm): ties should not be present for
## the Kolmogorov-Smirnov test
##
## One-sample Kolmogorov-Smirnov test
##
## data: t_data2$score
## D = 1, p-value = 4.122e-09
## alternative hypothesis: two-sided
ks.test(t_data2$score, pnorm)[2]$p.value
## Warning in ks.test(t_data2$score, pnorm): ties should not be present for
## the Kolmogorov-Smirnov test
## [1] 4.122307e-09
#### 3. 대응표본 T-검정 (실험전/후를 범주로 주어진 상태라 가정)
# 2_1. 대응표본은 정규성 검사가 필수이다.
# 2_1_1. 샤피로 테스트
shapiro.test(t_data1$score) # 0.4604 => H0 기각x => 정규성 만족
##
## Shapiro-Wilk normality test
##
## data: t_data1$score
## W = 0.93126, p-value = 0.4604
shapiro.test(t_data2$score) # 0.006914 => H0 기각 => 정규성 x => 비모수적 방법인
##
## Shapiro-Wilk normality test
##
## data: t_data2$score
## W = 0.77358, p-value = 0.006914
# 2_2. 대응표본일 경우 옵션 paired = T
t.test( t_data1$score, t_data2$score, paired = TRUE) # 0.05106
##
## Paired t-test
##
## data: t_data1$score and t_data2$score
## t = 2.2493, df = 9, p-value = 0.05106
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1311024 46.1311024
## sample estimates:
## mean of the differences
## 23
# 2_3. t.test 다른 사용법
t.test( score ~ group, data = t_data, paired = TRUE) # 0.05106
##
## Paired t-test
##
## data: score by group
## t = 2.2493, df = 9, p-value = 0.05106
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1311024 46.1311024
## sample estimates:
## mean of the differences
## 23
#### 3. 보정된 t검정 : 요인1에 대한 t.test가 끝난 뒤 -> 해당 요인(범주)이외에 다른 변수까지 같이 고려한다.
#### - method로서 선형회귀 -> 2way-ANOVA를 2집단에 적용해서, 분산분석으로 -> 2집단의 평균차이의 유의성을 검증(p-value값이 t-test와 똑같이 나온다.
#### - 그러기 위해선 lm()의 선형회귀로 기울기+절편 결과값을 summary()에 넣어, ANOVA테이블 형태를 얻어야한다.
# 3_1. 1개 요인(t-test와 같은 모델)에 대해 선형회귀->ANOVA 테이블에서 독립표본 t-test와 같은 결과값 얻기
# 선형회귀한 결과값을 분산분석(2way-요인2개 가능)을 2집단에 적용해 -> 평균 차이를 알아본다
mod1 <- lm( score ~ group , data = t_data)
anova(mod1) # 0.03199 : 아노바 테이블 상 독립표본 t-test와 같은 p 결과값이 나온다.
t.test( t_data1$score , t_data2$score , var.equal = TRUE) # 0.03199
##
## Two Sample t-test
##
## data: t_data1$score and t_data2$score
## t = 2.3247, df = 18, p-value = 0.03199
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 2.213727 43.786273
## sample estimates:
## mean of x mean of y
## 65 42
# 3_2. t-test에서 할 수 없는, 새로운 요인(숫자형)을 추가해서 lm->anova 테이블로 p값을 보자.
# 숫자형 요인은 단독으로는 t-test를 할 수 없다(집단 못나눔). 보정시에만 들어감
# 보정변수를 + 앞에 주는 것과 뒤에 주는 것과 결과가 다르다! ㅠㅠ;
# 예제는 추가한 요인 age를 group 앞에 주었다. 그대로 해보자.
mod2 <- lm( score ~ age + group, data = t_data)
anova(mod2) # 0.58633 : age를 앞쪽 요인으로 추가해줬더니, group에 의한 차이는 유의미하지않았다 -> 아! 기존 t-test에서 유의미한 것은 group 때문이 아니라 age땜에 난 것임을 알 수 있다.
# 3_3. 다른 방식 : aov() -> summary()
# 기존 방식 : 기존 lm() -> anova()
summary( aov( score ~ group , data = t_data) ) # 0.032
## Df Sum Sq Mean Sq F value Pr(>F)
## group 1 2645 2645.0 5.404 0.032 *
## Residuals 18 8810 489.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary( aov( score ~ age + group , data = t_data) ) # 0.586
## Df Sum Sq Mean Sq F value Pr(>F)
## age 1 3405 3405 7.322 0.015 *
## group 1 143 143 0.308 0.586
## Residuals 17 7906 465
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# 3_4. my) 만약 age + group 의 자리를 바꾸면 결과값이 달라진다.
summary( aov( score ~ age + group , data = t_data) ) # 0.586
## Df Sum Sq Mean Sq F value Pr(>F)
## age 1 3405 3405 7.322 0.015 *
## group 1 143 143 0.308 0.586
## Residuals 17 7906 465
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary( aov( score ~ group + age , data = t_data) ) # 0.029 *
## Df Sum Sq Mean Sq F value Pr(>F)
## group 1 2645 2645.0 5.687 0.029 *
## age 1 904 903.6 1.943 0.181
## Residuals 17 7906 465.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
연습해보기
- COPD 데이터를 가져와서, lungC(폐암)에 대한 모든 변수(요인, id칼럼만 제외! )들 종속변수로을 자동검정해보기
- mytable( 요인 ~ 종속변수 시리즈 )
- lungC(폐암) 여부(이력, 2집단으로 이루어진 범주)이 BMI(종속변수)에 주는 영향에 대한 t-test(2집단의 평균차이 유의성)확인해보기
# 데이터 준비
getwd()
## [1] "C:/Users/is2js/R_da/myR"
data <- read.csv("week4/4주차_코드/COPD_Lung_Cancer.csv")
head(data)
# 폐암칼럼에 대한 다른칼럼들을 모두 검정해보기
# - 칼럼명이 적히는 곳에 . : 모든 칼럼을 의미 , .-칼럼명 : 해당칼럼 제외 모든 칼럼을 의미!!***
library(moonBook)
mytable( lungC ~ .-PERSON_ID, data = data)
##
## Descriptive Statistics by 'lungC'
## ______________________________________________________
## 0 1 p
## (N=870) (N=74)
## ------------------------------------------------------
## SEX 0.002
## - 1 350 (40.2%) 44 (59.5%)
## - 2 520 (59.8%) 30 (40.5%)
## DTH 1.000
## - 0 864 (99.3%) 74 (100.0%)
## - 1 6 ( 0.7%) 0 ( 0.0%)
## CTRB_PT_TYPE_CD 5.7 ± 3.4 5.3 ± 3.5 0.307
## BMI 22.7 ± 3.3 22.8 ± 2.9 0.710
## BP_LWST 81.0 ± 12.1 82.4 ± 11.5 0.326
## BLDS 102.4 ± 33.2 97.9 ± 26.6 0.178
## TOT_CHOLE 200.3 ± 39.9 193.1 ± 35.6 0.132
## HMG 13.1 ± 1.4 13.2 ± 1.5 0.503
## FMLY_CANCER_PATIEN_YN 0.805
## - 1 752 (95.4%) 63 (96.9%)
## - 2 36 ( 4.6%) 2 ( 3.1%)
## SMK_STAT_TYPE 0.654
## - 1 670 (80.7%) 54 (77.1%)
## - 2 69 ( 8.3%) 8 (11.4%)
## - 3 91 (11.0%) 8 (11.4%)
## DRNK_HABIT 0.495
## - 1 673 (80.0%) 52 (74.3%)
## - 2 47 ( 5.6%) 6 ( 8.6%)
## - 3 44 ( 5.2%) 6 ( 8.6%)
## - 4 27 ( 3.2%) 1 ( 1.4%)
## - 5 50 ( 5.9%) 5 ( 7.1%)
## EXERCI_FREQ 0.051
## - 1 674 (80.4%) 48 (68.6%)
## - 2 68 ( 8.1%) 10 (14.3%)
## - 3 27 ( 3.2%) 3 ( 4.3%)
## - 4 9 ( 1.1%) 3 ( 4.3%)
## - 5 60 ( 7.2%) 6 ( 8.6%)
## copd 0.000
## - 0 534 (61.4%) 29 (39.2%)
## - 1 336 (38.6%) 45 (60.8%)
## Asthma 0.006
## - 0 422 (48.5%) 23 (31.1%)
## - 1 448 (51.5%) 51 (68.9%)
## DM 0.012
## - 0 335 (38.5%) 40 (54.1%)
## - 1 535 (61.5%) 34 (45.9%)
## Tub 0.012
## - 0 807 (92.8%) 62 (83.8%)
## - 1 63 ( 7.2%) 12 (16.2%)
## before_op_score 40.1 ± 6.0 40.1 ± 5.8 0.914
## after_op_score 50.1 ± 6.0 50.0 ± 6.2 0.907
## ------------------------------------------------------
# t-test 전 준비하기(범주(이력, 여부)별로 데이터 가르기)
data_lung0 <- data[ data$lungC == 0, ]
data_lung1 <- data[ data$lungC == 1, ]
# 1. lungC 여부에 따른 BMI의 등분산성 검사
var.test(data_lung0$BMI, data_lung1$BMI) # 0.1736 -> 등분산성 만족 -> var.equal = T 넣을 것
##
## F test to compare two variances
##
## data: data_lung0$BMI and data_lung1$BMI
## F = 1.2864, num df = 869, denom df = 73, p-value = 0.1736
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
## 0.8933904 1.7632502
## sample estimates:
## ratio of variances
## 1.286364
# 2. 각각 정규성 검사
shapiro.test( data_lung0$BMI ) # 0.297
##
## Shapiro-Wilk normality test
##
## data: data_lung0$BMI
## W = 0.99777, p-value = 0.297
shapiro.test( data_lung1$BMI ) # 0.1953 -> 정규성 만족
##
## Shapiro-Wilk normality test
##
## data: data_lung1$BMI
## W = 0.97698, p-value = 0.1953
# 3. 독립표본 t-test
t.test( data_lung0$BMI, data_lung1$BMI, var.equal = T) # 0.7096
##
## Two Sample t-test
##
## data: data_lung0$BMI and data_lung1$BMI
## t = -0.37253, df = 942, p-value = 0.7096
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.9266823 0.6309930
## sample estimates:
## mean of x mean of y
## 22.70189 22.84973
t.test( BMI ~ lungC , data = data, var.equal = T ) # 0.7096 ( 종속변수 ~ 요인(범주, 이력, 여부))
##
## Two Sample t-test
##
## data: BMI by lungC
## t = -0.37253, df = 942, p-value = 0.7096
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.9266823 0.6309930
## sample estimates:
## mean in group 0 mean in group 1
## 22.70189 22.84973
# 4. 대응표본 t-test
# t.test ( data_lung0$BMI, data_lung1$BMI, paired = T ) # 데이터가 갯수가 달라서, 실험 전/후의 데이터 가 아님
# 5. 보정된 t-test
# 5_1. 요인1개
summary( aov( BMI ~ lungC , data = data)) # 0.71
## Df Sum Sq Mean Sq F value Pr(>F)
## lungC 1 1 1.491 0.139 0.71
## Residuals 942 10118 10.741
anova( lm( BMI ~ lungC, data = data)) # 0.7096
# 5_2. 요인 1개 더 추가(숫자형)
summary( aov( BMI ~ TOT_CHOLE + lungC , data = data)) # TOT_CHOLE 0.00121, lung_C 0.60168
## Df Sum Sq Mean Sq F value Pr(>F)
## TOT_CHOLE 1 112 111.62 10.535 0.00121 **
## lungC 1 3 2.89 0.273 0.60168
## Residuals 931 9864 10.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 10 observations deleted due to missingness
summary( aov( BMI ~ lungC + TOT_CHOLE , data = data)) #lung_C 0.71773, TOT_CHOLE 0.00112
## Df Sum Sq Mean Sq F value Pr(>F)
## lungC 1 1 1.39 0.131 0.71773
## TOT_CHOLE 1 113 113.12 10.677 0.00112 **
## Residuals 931 9864 10.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 10 observations deleted due to missingness
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-4. Rmarkdown 칼럼명변경 +range() + 사용자정의함수로 scaling (0) | 2019.02.21 |
---|---|
4-3. Rmarkdown ANOVA 와 interactionplot (1) | 2019.02.21 |
4-2. 3집단 이상의 (숫자형)분석 ANOVA (0) | 2019.02.19 |
4-1. 2개 집단의 평균 비교 - t-test (4) | 2019.02.19 |
4. Rmarkdown - 상관계수와 산점도 matrix (0) | 2019.02.19 |
02. 19 분석 피드백
필요한 자료를 몽땅가져오기 위해 inner join 한다면 ->
메인 테이블A의 key로 계속 B, C, ... key 연결
순차적으로 할 시, B에 대해 또 C가 왕창 생겨서 엄청 뿔어난다.각 테이블의 row가 다 똑같으면 inner join해도 상관없지만, 각각 row가 다른 상황 -> row가 제일 많은
메인테이블(Person테이블)
에left join
으로 끼워넣어야함.
아마도 메인 테이블이 가장 row가 많다. 각각의 부 테이블은 master테이블로서 row가 별로 없을 것이다.데이터 그래프로 특이점이 발견되었다면, 그 데이터 세부적으로 더 분석해보기
'한의대 생활 > 본4 - SNUBI 인턴생활' 카테고리의 다른 글
02. 22 학부연구생인턴 프로그램 수료식 (0) | 2019.02.22 |
---|---|
02. 07 새로운 의료데이터 받기 (0) | 2019.02.09 |
02. 01 첫 cdm 스터디 (0) | 2019.02.01 |
01. 29 식권 대량구매 (0) | 2019.01.30 |
01. 24 Pandas세미나 듣고옴 (0) | 2019.01.24 |
4-2. 3집단 이상의 (숫자형)분석 ANOVA
ANOVA의 정의
ANalysis Of VAriance = 분산분석
- 같은 카테고리라도 데이터(인종, 국가)마다 variance(분산) = variation(변동)의 평균이 다르므로 연구를 한다.
ex> 전 세계 사람들의 BMI의 분산이 같다? -> 연구할 필요가 없다. / 같은 BMI라도 연구하는 곳마다 분산이 다르기 때문에, 연구할 가치가 있다. - 통계학은 variation(변동) = 분산이 우연에 의한 error인지 / effect있는 분산인지를 찾아내는 것이다.
전체 변동 = factor A에 의한 변동 + factor B에 의한 변동 + ... + error
가 다 포함되어있다. 이전체 변동
을 분할하여어떤 요인에 의한 변동
이error
에 비해 의미있는지를 밝힌다.
ANOVA를 이용한 3집단 비교( 그림내 분산->변동으로 수정해야함 )
대 전제 :
H0 : Ma = Mb = Mc (3집단의 평균이 모두 같다)
3집단 이상부터는
분산 차이
으로 ->평균 차이
를 해석한다.
-위 그림처럼, 3집단의 평균차이는 명확하게 나타날 수 있다. 하지만 2집단간의 평균차이를 확인하기 위해서 각각을 3C2만큼 각각을 t-test해야한다.
-분산분석을 활용해서 한번에 3집단 차이를 확인하는 원리는 아래와 같다.1) 3집단의 평균값을 찾는다.
2) 3집단 평균 - 각 집단의 평균 (빨간색)의 차이를 보자.
각 집단끼리 평균차이를 비교하는 것이 아니라, 전체 평균을 기준한 뒤 거기서의 차이만 비교하면 = 3집단의 평균차이도 비교 가능해진다.
이것을 제곱해서 더하면, 분산의 개념이 된다. (분산 = 평균에서 떨어진 정도)
3) 오른쪽 3집단간 평균의 차이가 별로 안나는 것과 비교했을 때,
각 거리(편차)의 제곱(변동)을 다 더하면, 왼쪽 3집단이 훨씬 값이 크다 = 분산분석시 차이가 더 유의하게 나타난다.
좀 더 자세히 알아보자.
1) 3집단의 평균, 전체 평균이 있다.2) 위에서 말한 것과 유사하게
전체 변동(TSS)
=그룹내 변동
+그룹간 변동
으로 쪼갤 수 있다.
그룹내 변동 : 각 그룹의 평균으로부터 떨어진 거리(의 제곱) =error
그룹간 변동 : 전체평균을 기준으로 그룹의 평균까지의 거리(의 제곱) =effect
전체 변동 = 그룹내 변동 + 그룹간 변동3) 그룹내 변동은 error이므로 적을 수록, 그룹간 변동은 effect이므로 높을 수록 3집단의 평균차이가 유의미해진다.
전체 변동
은F검정
의F = effect(그룹간 변동)의 평균 / error(그룹내 변동)의 평균
으로 측정되므로, error에 비해 effect가 얼마나 있는지로 구할 수 있다.
ANOVA(분산분석)의 종류
3개 집단 이상의 차이를 알아보는 ANOVA분석도 2개 집단의 비교인 독립표본 t-검정
과 마찬가지로 아래 3가지 가정을 만족시켜야 시행할 수 있다.
1) 독립성
2) 정규성
3) 등분산성
One way Anova
(일원배치 분산분석) : 하나의 요인에 대한 3집단 이상의 분석- factor(독립변수) 1개 와 종속변수1개에서의 3집단 평균 비교
H0
: 3 집단간의 평균이 같다(차이없다, =) Ma = Mb = Mc전체변동
=factor 1에 의한 그룹간 변동(effect)
+그룹내 변동(error)
자유도
(df, Degree of freedom) : n개의 데이터 중 n-1개만 있으면 1개는 자동으로 알 수 있다. 이 때,몇 개
만 있으면 데이터를 알 수 있을까?에서 그 몇 개에 해당한다.
ex> (1차원) 10개의 데이터 -> 9개만 있으면 다 알 수 있다.
ex> (2차원 교차표) -> mxn행렬 -> m-1 * n-1 이 자유도이다.( 교차표에서 바깥쪽 합계는 미리 알고 있다고 가정하고 생각하면 된다.)- 분산분석의 과정 in SPSS
1) 데이터에 따라 자유도가 결정
2) 자유도에 의해 F분포가 정해짐
3) 아노바 테이블에 의해 분석결과가 나옴 in SPSS
(1) 그룹간(Between Groups) + 그룹내(Within Groups) = 전체(Total)변동의 값이 Sum of Square(편차를 제곱한 합=변동)으로 나타난다.
(2) df(자유도)가 나타난다. 전체 -> 60개 데이터 -> 59 / 그룹간->3그룹이면 2 / 그룹내-> 전체자유도 59 - 그룹간 자유도 2 = 57 (그룹내 자유도 직접 구하는 법 모르겠음 )
(3) Mean Sqaure = 변동들의 평균 = SS(변동들 합) / 자유도(n과 비슷)
(4) F = 그룹간 변동들의 평균(MeanSquare) / 그룹내 변동들의 평균(MS)
(5) Sig. = p-value 결정
(6) 1), 2) 에서 정해진 F분포상에서 H0가 기각될지 안될지 판단함 - 사후분석(Post-Hoc test = Multiple Comparison)
1) H0( 집단간 평균차이 없다) 가 기각되었음 => 적어도 차이가 나는 집단이 하나는 존재 하는데, 어느 집단인지 구체적으로 알기 위한 것
2) R상에서 알파벳이 다르게 나타나는 1개가 차이가 나는 집단이다
ex> a b b : a만 평균차이가 나는 집단 - 사후분석의 방법
(1)본페로니
(가장 기본적이고 보수적) : 2개 집단끼리 nC2번 t-test를 하는데, 그때의 p-value의유의수준을 0.05/n
으로 본다. 혹은 t-test에서 나온p-value \* n 을 0.05와 비교
한다.
(2) 좀 더 완화시킨 방법들 :Tukey
,scheffe
,Duncan
등
-Tukey : 반복수가 동일하다는 가정
-Scheffe : 하나의 집단이 너무 클 때 사용
-Duncan : 한꺼번에 세개를 비교할 때 사용
Two way Anova
: 두개 이상 요인에 대한 3집단 이상의 분석facotor(요인)가 2개 이상이므로
전체변동
= factorA에 의한 변동 + factorB에 의한 변동 + error +A와 B의 상호작용 효과
까지 고려해야한다.
예를 들어,수업 이해도(종속변수, 연속형)
에 영향을 주인 요인으로서
요인1 : 수업시 착석위치 ( 독립변수 X1 )
요인2 : 출석점수( 독립변수 X2 ) 가 있다고 치자.
이 때,주성분
은X1
+X2
이며, X1과 X2의 상호작용 효과인X1:X2
까지 고려해야한다. 그러므로, 구성될 수 있는 모델구성은 총 3가지다
모델1 :Y ~ X1 + X2
(주성분만 포함)
모델2 :Y ~ X1:X2
(상호작용 효과만 포함)
모델3 :Y ~ X1 + X2 + X1:X2
=Y ~ X1 * X2
상호작용 in R
: 최대 2개 요인만 포함시키자.
aov(종속변수
(숫자) ~요인1
(범주) +요인2
(범주) +요인1\*요인2
, data=data)
결과로서 맨 마지막 줄의Residuals
=error
에 비해, 각 요인들(주성분1, 주성분2, 상호작용효과3)들의 df(자유도) / Sum sq(변동(편차제곱)들이 합) / Mean sq(변동들의 평균) / F value(F검정 값:effect/error
) / Pr(p-value)예시 들어보기 :
헤모글로빈 수치
에 영향을 주는 요인2개 : 1)흡연이력
2)음주이력
요인은 2개지만, 모델은 3가지 일 것이다.가설1
: 흡연이력에 따라 헤모글로빈 수치가 차이가 날 것이다.(Smoke effect)가설2
: 음주이력에 따라 헤모글로빈 수치가 차이가 날 것이다.(Alcohol effect)가설3
:흡연이력(요인1)
에 따른헤모글로빈 수치의 양상(종속)
이음주이력 그룹(요인2)
마다 다르다.(Interaction effect)
(1)상호작용 효과의 해석1
: Interaction plot(요인1는 x축, 요인2는 범례로 설정)한 뒤, 범례에 따라 변동이 있는지 없는지 본다.
만약, 그래프가 평행하다면 : 요인2는 별로 영향이 없다. 만약, 그래프가 cross한다면, 요인1->종속변수에 요인2가 영향을 준다는 것을 의미한다.
(2)상호작용 효과의 해석2
: aov(헤모글로빈수치(종속변수) ~ 흡연이력(요인1) + 음주이력(요인2) + 요인1*요인2상호작용효과(요인1:요인2) )를 수행 한 뒤 summary()해보면, 3개의 모델이 생성되며 Pr(p-value)로 해석한다.
만약, 상호작용효과(교호작용효과)에 대한 유의성 차이가 없다면 ->요인1에 대한 종속변수가 요인2그룹마다 다르지 않다는 것을 의미
. 상호작용효과를 제외하고 다시 aov()를 돌려야한다.
(3) 상호작용효과를 제외한 이원배치 분산분석을 돌리는 것을2 way ANOVA
라 한다.
사후분석(Post-Hoc test, Multiple Comparison)
: 3집단 이상에서 구체적으로 어느 두 집단끼리 차이가 있는지 확인
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-3. Rmarkdown ANOVA 와 interactionplot (1) | 2019.02.21 |
---|---|
4-2. Rmarkdown T-test (0) | 2019.02.20 |
4-1. 2개 집단의 평균 비교 - t-test (4) | 2019.02.19 |
4. Rmarkdown - 상관계수와 산점도 matrix (0) | 2019.02.19 |
4. 상관계수 정리 (1) | 2019.02.18 |
4-1. 2개 집단의 평균 비교 - t-test
T 분포 ( Student's t - Distribution)
- 표본 평균으로 모집단의 정규분포 평균을 해석할 때 사용
- 가설검정과 회귀분석에서도 자주 사용
- 정규분포보다 꼬리가 더 두껍다. (n수가 작아도 예측범위가 더 넓다?)
- 표본의 수(자유도도 관련)가 30이상이면 정규분포를 따르는 좌우대칭형
- 만약 n수가 30이 안되면 t분포를 써서 예측해야한다.(좌우대칭형은 마찬가지)
- t값( t score )로 두 집단간의
평균차이를 분석
한다. t score
= 두 (표본)집단 평균의 차이 / 두 집단에서 계산된 표준편차(Sab)
즉,2집단의 표준편차(분산)이 고려된, 두 집단의 평균 차이
두 표본의 평균차이가 크더라도, 한쪽이 분산이 엄청커서 벌어져있다고 가정해보자. 차이가 명확하게 안들어난다. 분산(표준편차)까지 고려한 평균의 차이가 t값이다.- ex> t분포에서 검정통계량 t가 크다? -> 분산고려되어 분자(A평균-B평균) 크다 -> 평균차이 크다!
T-test의 종류 3가지
단일표본 t검정
H0
: m = 50 (한 집단의 평균이 50이랑 같다)- 한 집단의 평균이 어떤 숫자와 같은지/다른지 비교한다.
대응표본 t검정
- 1가지 가정이 만족되어야한다.
1) 실험 후- 실험전 차이의 분포가정규성
을 따른다
-만약, 정규성을 따르지 않는다면 =>Wilcoxon signed rank test
H0
: 실험 전/후 간의 평균차이가 없다(=)- 한 집단의 실험 전/후 비교, 즉,
실험후 - 실험전 차이의 평균 = 0
인지/아닌지를 test
- 1가지 가정이 만족되어야한다.
독립표본 t검정
3가지 가정이 만족되어야한다.
1) 두 집단간의독립성 검정
: 사람이 판단함.
-만약, 독립성이 없다 =>대응표본 t검정
( 한집단의 전/후 )2) 각 집단의
정규성 검정
( H0 : 정규분포를 따른다 -> p:0.05보다 커야 정규성 만족)
(1) n > 30 : 중심극한정리(Central Limit Test)에 의해서 정규성 만족
(2) 10 <= n <= 30 : Kolmogrov-Smirnov test or Shapiro-Wilk test
(3) n < 10 : 정규성x로서 비모수적 방법 사용
-만약, 정규성이 없다 => 비모수적 방법(평균비교x)인Mann-Whitney test or Wilcoxon Rank-Sum test
3) 두 집단간의
등분산성 검정
( H0 : 두 집단의 분산은 같다 -> p:0.05보다 커야 정규성 만족)
-만약, 두 집단이 분산이 다르다 => p가 0.05보다 작아서 등분산성을 만족하지 않으면 ->** 자유도를 수정하는Welch t-test
한다.
**예외적으로 p-value가 0.05보다 커야 좋은 경우 2가지 : 정규성 검정, 등분산성 검정H0
: 두 집단간에 평균차이가 없다(=)두 집단의 평균 차이를 본다.
보정된 t 검정
- 두 집단가의 평균차이가 나긴 났는데, 다른 변수까지 끼워서 보정해놓고 검정한다.
- 다른 변수를 보정시킨상태에서 해당 집단간의 차이가 유의하지 않다면, 그것은 진짜로 유의한 차이가 아닌 것이다.
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-2. Rmarkdown T-test (0) | 2019.02.20 |
---|---|
4-2. 3집단 이상의 (숫자형)분석 ANOVA (0) | 2019.02.19 |
4. Rmarkdown - 상관계수와 산점도 matrix (0) | 2019.02.19 |
4. 상관계수 정리 (1) | 2019.02.18 |
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) (0) | 2019.02.17 |
4. Rmarkdown - 상관계수와 산점도 matrix
- 상관계수와 산점도 매트릭스
상관계수
- 숫자형 칼럼만 뽑는 2가지 방법 :
- str()확인후 직접 칼럼 여러개 인덱싱
- Filter( is.numeric, df )
# 데이터 준비
library(moonBook)
data(acs)
# 1. 상관계수(숫자-숫자)만 구하기 : na제거후 cor(칼럼인덱싱1, 칼럼인덱싱2)
cor(acs$height, acs$weight)
## [1] NA
cor(acs$height, acs$weight, use = "na.or.complete") # na 포함시 use옵션을 넣어줘야한다.
## [1] 0.6315767
# 2. 상관계수 매트릭스 : str() -> 숫자형칼럼만 뽑아서 cor(dataframe)
# - str()로 숫자형 칼럼만 인덱싱하여 df만들고 나서, dataframe 자체를 넣어준다.
str(acs) # age(1), EF(6), height(7), weight(8), BMI(9) 등
## 'data.frame': 857 obs. of 17 variables:
## $ age : int 62 78 76 89 56 73 58 62 59 71 ...
## $ sex : chr "Male" "Female" "Female" "Female" ...
## $ cardiogenicShock: chr "No" "No" "Yes" "No" ...
## $ entry : chr "Femoral" "Femoral" "Femoral" "Femoral" ...
## $ Dx : chr "STEMI" "STEMI" "STEMI" "STEMI" ...
## $ EF : num 18 18.4 20 21.8 21.8 22 24.7 26.6 28.5 31.1 ...
## $ height : num 168 148 NA 165 162 153 167 160 152 168 ...
## $ weight : num 72 48 NA 50 64 59 78 50 67 60 ...
## $ BMI : num 25.5 21.9 NA 18.4 24.4 ...
## $ obesity : chr "Yes" "No" "No" "No" ...
## $ TC : num 215 NA NA 121 195 184 161 136 239 169 ...
## $ LDLC : int 154 NA NA 73 151 112 91 88 161 88 ...
## $ HDLC : int 35 NA NA 20 36 38 34 33 34 54 ...
## $ TG : int 155 166 NA 89 63 137 196 30 118 141 ...
## $ DM : chr "Yes" "No" "No" "No" ...
## $ HBP : chr "No" "Yes" "Yes" "No" ...
## $ smoking : chr "Smoker" "Never" "Never" "Never" ...
acs2 <- acs[ , c(1, 6, 7, 8, 9)] # 숫자형 칼럼만 뽑기
cor(acs2)
## age EF height weight BMI
## age 1 NA NA NA NA
## EF NA 1 NA NA NA
## height NA NA 1 NA NA
## weight NA NA NA 1 NA
## BMI NA NA NA NA 1
cor(acs2 , use = "na.or.complete")
## age EF height weight BMI
## age 1.00000000 -0.062814463 -0.401352041 -0.42825035 -0.22291089
## EF -0.06281446 1.000000000 -0.001477943 0.07494425 0.09332209
## height -0.40135204 -0.001477943 1.000000000 0.63285106 -0.00198798
## weight -0.42825035 0.074944253 0.632851060 1.00000000 0.76568388
## BMI -0.22291089 0.093322093 -0.001987980 0.76568388 1.00000000
# 3. 상관계수 heatmap : corrplot( cor(df, use="na.or.complete") )
# install.packages("corrplot")
library(corrplot)
## corrplot 0.84 loaded
corrplot(cor(acs2, use="na.or.complete")) # 원형
corrplot(cor(acs2, use="na.or.complete"), method = "square") # 사각형
corrplot(cor(acs2,use="na.or.complete"),method="ellipse") # 타원
corrplot(cor(acs2,use="na.or.complete"),method="number") # *상관계수 매트릭스 색으로
corrplot(cor(acs2,use="na.or.complete"),method="shade") # 사각형 + 빗금
corrplot(cor(acs2,use="na.or.complete"),method="color") # 사각형
corrplot(cor(acs2,use="na.or.complete"),method="pie") # pie차트 형식
상관계수의 종류별 테스트
- 기본 : 1. 피어슨 상관계수 - 정규성을 따르는 숫자-숫자의 상관관계
- 비모수 : 2. 스피어만 순위 상관계수, 3. 켄달의 타우
# 데이터 준비
# Filter( 칼럼에 대한 조건, data )를 통한 숫자형 칼럼 인덱싱
acs2 <- Filter( is.numeric , acs )
head(acs2)
## age EF height weight BMI TC LDLC HDLC TG
## 1 62 18.0 168 72 25.51020 215 154 35 155
## 2 78 18.4 148 48 21.91381 NA NA NA 166
## 3 76 20.0 NA NA NA NA NA NA NA
## 4 89 21.8 165 50 18.36547 121 73 20 89
## 5 56 21.8 162 64 24.38653 195 151 36 63
## 6 73 22.0 153 59 25.20398 184 112 38 137
# 참고. 문자형 칼럼 인덱싱
acs3 <- Filter (is.character, acs)
head(acs3)
## sex cardiogenicShock entry Dx obesity DM HBP smoking
## 1 Male No Femoral STEMI Yes Yes No Smoker
## 2 Female No Femoral STEMI No No Yes Never
## 3 Female Yes Femoral STEMI No No Yes Never
## 4 Female No Femoral STEMI No No No Never
## 5 Male No Radial NSTEMI No Yes Yes Smoker
## 6 Female No Radial Unstable Angina Yes Yes Yes Never
# 0. 기본데이터를 이용해서, 산점도 + 선헝회귀선 + 상관관계 구해보기
data <- data.frame(
a = c(15,20,25,27,31,25,23,23,42,12,34,23,40),
b = c(50,55,52,52,56,54,62,56,70,46,43,50,54)
)
plot(data$a, data$b) # 산점도
# lm(data$a ~ data$b) # 두 변수간의 선형회귀를 통한 기울기+절편이 담겨있는 직선식
abline(lm(data$b ~ data$a)) # 산점도에 그린 y축 ~ x축 순서대로 해야 나온다!!
cor(data$a, data$b) # 상관계수
## [1] 0.433905
# 14번째 행으로 아웃라이어 추가
data[14,] = c(200, 230) # 아웃라이어 1개 추가로 인해 선형회귀 + 상관계수가 달라진다.
plot(data$a, data$b) # 산점도
abline(lm(data$b ~ data$a)) # 산점도에 그린 y축 ~ x축 순서대로 해야 나온다!!
cor(data$a, data$b) # 상관계수
## [1] 0.9852541
# 1. 피어슨 상관계수 by cor와 상관계수 heatmap by corrplot
# 1_1. 상관계수
cor(acs2, use = "na.or.complete")
## age EF height weight BMI
## age 1.00000000 -0.05240312 -0.399852042 -0.42569584 -0.221490011
## EF -0.05240312 1.00000000 -0.014042881 0.06543177 0.090386043
## height -0.39985204 -0.01404288 1.000000000 0.63089489 -0.002069904
## weight -0.42569584 0.06543177 0.630894886 1.00000000 0.767190062
## BMI -0.22149001 0.09038604 -0.002069904 0.76719006 1.000000000
## TC -0.18357028 0.07467456 -0.077176366 0.01897155 0.084842113
## LDLC -0.15973875 0.03663333 -0.039607198 0.05826248 0.105221247
## HDLC -0.02621982 0.01099877 -0.085782836 -0.10664527 -0.058842589
## TG -0.22143405 0.15153722 0.034817498 0.17231426 0.183409287
## TC LDLC HDLC TG
## age -0.18357028 -0.15973875 -0.02621982 -0.22143405
## EF 0.07467456 0.03663333 0.01099877 0.15153722
## height -0.07717637 -0.03960720 -0.08578284 0.03481750
## weight 0.01897155 0.05826248 -0.10664527 0.17231426
## BMI 0.08484211 0.10522125 -0.05884259 0.18340929
## TC 1.00000000 0.82328304 0.27272521 0.27757126
## LDLC 0.82328304 1.00000000 0.09587078 0.06600925
## HDLC 0.27272521 0.09587078 1.00000000 -0.15468035
## TG 0.27757126 0.06600925 -0.15468035 1.00000000
# 1_2. 히트맵
# install.packages("corrplot")
library(corrplot)
corrplot( cor(acs2, use = "na.or.complete"), method = "number") # 상관계수 matrix
corrplot( cor(acs2, use = "na.or.complete"), method = "color" ) # 상관계수 heatmap
# 2. spearman 순위 상관계수 : 비모수적 상관계수1
cor(acs2$height,acs2$weight,method="spearman", use = "na.or.complete") # 0.6379538
## [1] 0.6379538
# 3. kendall's tau : 비모수적 상관계수2
cor(acs2$height,acs2$weight,method="kendall", use = "na.or.complete") # 0.4749274
## [1] 0.4749274
산점도 매트릭스
# 1. 산점도 매트릭스 + 자신의 히스토그램 : psych 패키지 - pairs.panels( df ) 함수
# - na처리 안해도 알아서 해준다.
# install.packages("psych")
library(psych)
pairs.panels( acs2 )
# 2. 산점도 매트릭스 + 자신의 히스토그램 + @ : PerformanceAnalytics 패키지의 chart.Correlation 함수
# install.packages("PerformanceAnalytics");
library(PerformanceAnalytics)
## Loading required package: xts
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
##
## Attaching package: 'PerformanceAnalytics'
## The following object is masked from 'package:graphics':
##
## legend
chart.Correlation(acs2, histogram = TRUE, pch = 19) # baseplot의pch점의모양
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-2. 3집단 이상의 (숫자형)분석 ANOVA (0) | 2019.02.19 |
---|---|
4-1. 2개 집단의 평균 비교 - t-test (4) | 2019.02.19 |
4. 상관계수 정리 (1) | 2019.02.18 |
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) (0) | 2019.02.17 |
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 (0) | 2019.02.17 |
엑셀 좌우 스크롤 적용하기
'개발공통 > IT기본' 카테고리의 다른 글
윈도우10 노트북 <-> 태블릿, 스마트폰 미러링(화면 연동) 하는 법 - [ 연결 ] (3) | 2019.05.05 |
---|---|
크롬(chrome) 단축키 및 검색 꿀팁 (0) | 2019.05.04 |
SyntaxHighliter 테마별 스샷 모음 (0) | 2019.01.25 |
Tistory Blog SyntaxHighliter - 티스토리 코드/신택스 하이라이터 적용과 사용 (0) | 2019.01.23 |
윈도우 10 관리자 권환 얻기 (0) | 2019.01.15 |
4. 상관계수 정리
상관계수 정의
- 숫자형-숫자형 변수의 관계를 파악할 때 :
산점도(그래프)
,상관계수(수치)
- 숫자형-숫자형 변수간의 강도를 수치로 표현하는 방법
- 상관계수는 인과성이 아닌
연관성
만 확인가능하다.
( 연관성 안에 필요한 조건이 만족될때 인과성이 생길 수 있음)
상관계수 분석
- 상관계수는 두 숫자형 변수사이의 연관성 중
직선적인 경향
을 나타낸다.
즉,직선
을 띄느냐(-1
/+1
) 아니면퍼져있느냐(-1 ~ 1)
이다.
예를 들어, 기울기가 45도 든 30도 든 60도든 산점도상의 점들이 직선을 이룬다면, +1 아니면 -1이다. 즉, 직선형태를 이룬다면 상관관계는 1 혹은 -1(음의 기울기)이다.직선적인 경향
을 나타내는 척도이다. - 직선이 아니라 흩어져있다면, -1 ~ 0, 0 ~ +1 값을 가지고 , 가장 덜 직선같이 흩어져있으면 상관계수가 0이다.
위의 그림에서상관없음 = 0
은 가장 덜 직선 같이 생겼다. 강한 양/음의 상관 관계를 가진다면 -1 혹은 +1에 가깝다.
상관계수(r) 공식 (피어슨 상관계수 - Pearson's correlation coefficent)
공분산(Covariance)
: 두 숫자형 변수가 같은 방향으로 움직이는 정도, 두 변수의 단위가 다를 때, 다른 값을 가지게 되는 단점상관계수(Correlation coefficent)
: 공분산을 각각의 표준편차로 나누어준 값. 측정단위와 상관없이 두 변수간의 연관성, 직선적인 경향을 나타내줌1) 모집단(전체)의 상관계수 공식
2) 표본(일부 샘플들)의 상관계수 공식
상관계수의 해석
- 주의점 : 아웃라이어 하나때문에, 직선적인 경향이 갑자기 높아질 수도, 낮아질 수도 있으니, 아웃라이어(이상값) 처리가 중요함
상관계수의 종류
피어슨 상관계수
: 숫자형-숫자형 변수의모수적(정규분포)의 선형관계
스피어만 순위 상관계수
: 숫자형-숫자형 변수의비모수적(정규성x)의 단조관계
- monotone relationship -
단순증가 / 단순감소(단조성)
의 관계를 나타낸다. - 순서를 이용하기 때문에, 순서형 범주도 사용가능하다.
- monotone relationship -
켄달의 타우
: 숫자형-숫자형 변수의비모수적(정규성x)의 단조관계
- 스피어만 순위 상관계수처럼, 단조성를 파악한다.
- 산점도 상의 모든 점들을 2C1로 연결한 뒤, 양의 기울기를 가지는 개수 P 와 음의 기울기 개수 Q를 구한다.
- r = P-Q / P+Q
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4-1. 2개 집단의 평균 비교 - t-test (4) | 2019.02.19 |
---|---|
4. Rmarkdown - 상관계수와 산점도 matrix (0) | 2019.02.19 |
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) (0) | 2019.02.17 |
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 (0) | 2019.02.17 |
3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM) (0) | 2019.02.16 |
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge)
3-5. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge)
반복문을 이용해 빈 리스트, 빈 메트릭스 만들고 채워넣기
# 1. 빈 리스트 만들고 채워넣기
a <- c()
a
## NULL
# 2. 빈 리스트에 1부터 10까지 채워넣기
for ( i in 1:10 ){
a[i] <- i
}
a
## [1] 1 2 3 4 5 6 7 8 9 10
# 3. 빈 matrix 만들기
m <- matrix(0, 10, 10) # matrix(넣을 값, m, n)
m
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## [1,] 0 0 0 0 0 0 0 0 0 0
## [2,] 0 0 0 0 0 0 0 0 0 0
## [3,] 0 0 0 0 0 0 0 0 0 0
## [4,] 0 0 0 0 0 0 0 0 0 0
## [5,] 0 0 0 0 0 0 0 0 0 0
## [6,] 0 0 0 0 0 0 0 0 0 0
## [7,] 0 0 0 0 0 0 0 0 0 0
## [8,] 0 0 0 0 0 0 0 0 0 0
## [9,] 0 0 0 0 0 0 0 0 0 0
## [10,] 0 0 0 0 0 0 0 0 0 0
# 4. 이중 반복문을 이용해 matrix 채워넣기
for ( i in 1:10 ){
for ( j in 1:10){
m[i, j] <- i*j
}
}
m
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## [1,] 1 2 3 4 5 6 7 8 9 10
## [2,] 2 4 6 8 10 12 14 16 18 20
## [3,] 3 6 9 12 15 18 21 24 27 30
## [4,] 4 8 12 16 20 24 28 32 36 40
## [5,] 5 10 15 20 25 30 35 40 45 50
## [6,] 6 12 18 24 30 36 42 48 54 60
## [7,] 7 14 21 28 35 42 49 56 63 70
## [8,] 8 16 24 32 40 48 56 64 72 80
## [9,] 9 18 27 36 45 54 63 72 81 90
## [10,] 10 20 30 40 50 60 70 80 90 100
wakefield - r_data_frame으로 무작위 dataframe(tibble)만들기
ifelse로 바이닝하기(2번째 ifelse부터 조심)
범주형 데이터의 빈도분석
# install.packages("wakefield")
library(wakefield)
# 랜덤 데이터프레임 생성
temp_data <- r_data_frame(n=250, # n수
age( x=30:78, name="Age"), # age() 랜덤
sex( x=c("male","female"), prob=c(0.7,0.3), name="Sex") # sex랜덤과 비율
)
head(temp_data)
## # A tibble: 6 x 2
## Age Sex
## <int> <fct>
## 1 75 male
## 2 37 male
## 3 45 male
## 4 52 male
## 5 31 male
## 6 73 male
# ifelse로 Binning하기
# - 첫번째 else자리에만 Age로 인해 다 차있다. 2번째부터는 새로 생성한 칼럼명을 else자리에 넣어야한다. 왜냐하면, 2번째 조건인 40대에 안걸리면, 첫번째 조건 30대 것도 기존 Age(나이)가 다시 대입되어버린다. 앞에서 바꿔놓은 연령대(Age2)가 그대로 들어가야한다.
temp_data$Age2 <- ifelse( temp_data$Age >= 30 & temp_data$Age < 40, 3, temp_data$Age)
temp_data$Age2 <- ifelse( temp_data$Age >= 40 & temp_data$Age < 50, 4, temp_data$Age2)
temp_data$Age2 <- ifelse( temp_data$Age >= 50 & temp_data$Age < 60, 5, temp_data$Age2)
temp_data$Age2 <- ifelse( temp_data$Age >= 60 & temp_data$Age < 70, 6, temp_data$Age2)
temp_data$Age2 <- ifelse( temp_data$Age >= 70 & temp_data$Age < 80, 7, temp_data$Age2)
head(temp_data)
## # A tibble: 6 x 3
## Age Sex Age2
## <int> <fct> <dbl>
## 1 75 male 7
## 2 37 male 3
## 3 45 male 4
## 4 52 male 5
## 5 31 male 3
## 6 73 male 7
# 범주형 Age2, sex의 빈도분석 by table, prop.table( table() )
# - 비율을 알려면, prop.table()안에 table()해놓은 것을 넣어야한다.
table( temp_data$Age2 )
##
## 3 4 5 6 7
## 48 54 62 52 34
prop.table(table( temp_data$Age2 ) )
##
## 3 4 5 6 7
## 0.192 0.216 0.248 0.208 0.136
table( temp_data$Sex )
##
## male female
## 174 76
prop.table(table( temp_data$Sex ) )
##
## male female
## 0.696 0.304
merge
# 데이터 만들기
df1<-data.frame(name = c('Park','Lee','Kim','Kang'),
gender = c('f','m','f','m'))
df2<-data.frame(name = c('Min','Ahn','Choi','Kyeon'),
gender = c('m','m','f','f'))
df1; df2 # 데이터 2개를 연달아서 확인하기 -> df1 과 df2는 name의 교집합 없음
## name gender
## 1 Park f
## 2 Lee m
## 3 Kim f
## 4 Kang m
## name gender
## 1 Min m
## 2 Ahn m
## 3 Choi f
## 4 Kyeon f
# 1. rbind(rowbind) 와 cbind(column bind)
rbind(df1,df2) # 행으로서 연결한다. (칼럼수, 칼럼명 같아야함)
## name gender
## 1 Park f
## 2 Lee m
## 3 Kim f
## 4 Kang m
## 5 Min m
## 6 Ahn m
## 7 Choi f
## 8 Kyeon f
cbind(df1,df2) # 칼럼으로서 옆에 붙는다. (row수 같아야함)
## name gender name gender
## 1 Park f Min m
## 2 Lee m Ahn m
## 3 Kim f Choi f
## 4 Kang m Kyeon f
df3<-data.frame(name = c('Yoon', 'Seo', 'Park', 'Lee', 'Kim', 'Kang'),
age = c(30, 31, 22, 24, 28, 25))
df4<-data.frame(name = c('Park', 'Lee', 'Kim', 'Kang', 'Ahn', 'Go'),
gender=c('f', 'f', 'm', 'm', 'f', 'm'),
city = c('Seoul', 'Incheon', 'Seoul',
'Busan', 'Gwangju', 'Deagu'))
df3;df4 # 6개 중에 4개 name은 겹친다.
## name age
## 1 Yoon 30
## 2 Seo 31
## 3 Park 22
## 4 Lee 24
## 5 Kim 28
## 6 Kang 25
## name gender city
## 1 Park f Seoul
## 2 Lee f Incheon
## 3 Kim m Seoul
## 4 Kang m Busan
## 5 Ahn f Gwangju
## 6 Go m Deagu
merge(df3, df4, by="name" , all=FALSE) # all=FALSE는 Inner join으로서 교집합
## name age gender city
## 1 Kang 25 m Busan
## 2 Kim 28 m Seoul
## 3 Lee 24 f Incheon
## 4 Park 22 f Seoul
merge(df3, df4, by="name" , all.x=TRUE) # all.x=TRUE는 LEFT join
## name age gender city
## 1 Kang 25 m Busan
## 2 Kim 28 m Seoul
## 3 Lee 24 f Incheon
## 4 Park 22 f Seoul
## 5 Seo 31 <NA> <NA>
## 6 Yoon 30 <NA> <NA>
merge(df3, df4, by="name" , all.y=TRUE) # all.x=TRUE는 RIGHT join
## name age gender city
## 1 Kang 25 m Busan
## 2 Kim 28 m Seoul
## 3 Lee 24 f Incheon
## 4 Park 22 f Seoul
## 5 Ahn NA f Gwangju
## 6 Go NA m Deagu
merge(df3, df4, by="name" , all=TRUE) # all=TRUE Full outer join으로서 합집합
## name age gender city
## 1 Kang 25 m Busan
## 2 Kim 28 m Seoul
## 3 Lee 24 f Incheon
## 4 Park 22 f Seoul
## 5 Seo 31 <NA> <NA>
## 6 Yoon 30 <NA> <NA>
## 7 Ahn NA f Gwangju
## 8 Go NA m Deagu
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4. Rmarkdown - 상관계수와 산점도 matrix (0) | 2019.02.19 |
---|---|
4. 상관계수 정리 (1) | 2019.02.18 |
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 (0) | 2019.02.17 |
3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM) (0) | 2019.02.16 |
3-3 Rmarkdown 이상치와 결측치 (0) | 2019.02.16 |
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포
확률변수와 확률분포
확률변수(Random Variable)
: 일정한 확률값이 고정적으로 부여된 변수 X- 예를 들면, 주사위가 한개를 던질 때, 눈금 1이 나올 확률은 고정적으로 1/6이 부여되어있고, 이 때 X1을 확률변수라 한다.
- 이 확률변수가
이산 확률변수
와연속 확률변수
로 나뉜다.
확률분포(Probability Distribution)
: 확률변수들이나 확률변수들의 조합으로 인해 생기는 확률값의 분포를 그래프로 나타낸 것.- 예를 들면, 주사위 2개를 던졌을 때, 눈금의 합은 2 부터 12까지, 각 눈금들의 조합으로 이루어지며, 각각은 확률변수로서 고정된 확률값을 가지므로 눈금의 합(여기서의 확률변수) 또한
일정한 패턴
을 가지는 분포가 나타난다.
- 예를 들면, 주사위 2개를 던졌을 때, 눈금의 합은 2 부터 12까지, 각 눈금들의 조합으로 이루어지며, 각각은 확률변수로서 고정된 확률값을 가지므로 눈금의 합(여기서의 확률변수) 또한
확률분포의 종류
이산 확률분포(discrete)
: 정수처럼 딱 떨어져 셀수 있는 확률변수(이산확률변수)와 확률값의 분포 ex> 주사위 눈금- 이산확률분포의 종류 :
이항분포(베르누이분포)
,포아송분포
,초기하분포
,기하분포
등 - 이산확률분포의 함수 :
확률 질량 함수
- 이산확률분포의 종류 :
연속 확률분포(continuous)
: 소수점을 포함하는 실수처럼 연속하여 셀 수 없는 확률변수(연속확률변수)와 확률값의 분포 ex> 키, 몸무게- 셀 수 없기 때문에 구간을 정해놓고 이 구간에 속한 표본의 수로 나타낸다.
- 연속확률분포의 종류 :
정규분포(가우시안 분포)
,표준정규분포
,t분포
,F분포
,카이제곱분포
등 - 연속확률분포의 함수 :
확률 밀도 함수
대표적 확률분포
정규 분포
(Normal distribution; Gaussian distribution)- 연속확률분포, 종 모양의 분포로서 가장 많이 사용되는 분포
- 완벽한 좌우대칭
- 정규분포의 모수는 2개 : 1) 평균(location) 2) 분산(scale parameter)
- 평균 : 종 모양 정규분포의 location을 결정한다
- 분산 : 종 모양 정규분포의 평균에서 떨어진 정도(벌어진 정도)를 결정한다.
이항 분포
(Binomail distribution; Bernoulli distribution)- 이상확률분포, 결과가 0/1 2개에(실패/성공, 사망/생존) 해당
- 단 한번의 실험이 아니라 실험 수(n)가 복원추출로 여러번 시도한다.
- 만약, n수가 충분히 많아지면, p = 1/2 + 분포는 좌우대칭의 정규분포에 가까워진다
포아송 분포
(Poisson Distribution)- 결과가 단위 시간/공간안에서 발생하는
건수(Count)
에 대한 분포 - but 제약조건이 존재!! : 평균과 분산이 동일하다는 가정이 있어야한다. 대부분은 분산이 크고 평균이 작다고 한다.
- ex1> 1시간동안 / 걸려오는 전화의
수
- ex1> 1시간동안 / 발생하는 사고의
수
- ex1> 1km 동안 / 발생하는 자동차 사고의
수
- 결과가 단위 시간/공간안에서 발생하는
그외 자주 등장하는 분포들
- 초기하 분포 : 이항분포처럼 결과가 0/1 2가지 이나, 유한한 모집단에서 비복원추출
- ex> S보험사 전체인원은 10명이고, 그중 여자가 6명이다. 이중 7명을 연속으로 뽑았을때, 4명이 여자일 확률
- ex> S보험사 전체인원은 10명이고, 그중 여자가 6명이다. 이중 7명을 연속으로 뽑았을때, 4명이 여자일 확률
- t분포 : 정규분포와 유사하나, 표본의 크기가 작을 경우(n<30)에 사용되는 분포
F분포 : 3개 이상 집단에 대한 비교를 위해, 분산에 대한 분석을 한다.
카이제곱 분포 : 2개의 범주형 변수의 빈도를 보고 연관성/독립성을 판단한다.
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
4. 상관계수 정리 (1) | 2019.02.18 |
---|---|
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) (0) | 2019.02.17 |
3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM) (0) | 2019.02.16 |
3-3 Rmarkdown 이상치와 결측치 (0) | 2019.02.16 |
3-2. 결측값(결측치) (1) | 2019.02.14 |
3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM)
Cohort 연구의 종류
cohort : 특정 인구집단
cohort study의 종류
전향적 코호트 연구 (Prospective cohort study)
- 대부분의 코호트 연구는 전향적 코호트 연구
1)특정인자
-> 질병발생에 미치는 영향을 연구
2)질병없는 연구대상자
모으기 =위험요인 노출O
+위험요인 노출X
나누기
3) 시간에 따라follow up(추적조사)
하기
4) 위험요인 노출O =질병O
+질병X
관찰( 그중에 몇명이 질병걸렸냐 )
5) 위험요인 노출X =질병O
+질병X
관찰( 그중에 몇명이 질병걸렸냐 )
- 대부분의 코호트 연구는 전향적 코호트 연구
후향적 코호트 연구 (Retrospective cohort study)
기록
을 통해특정인자 노출여부
+질병발생 여부
분석
1) 자료 =질병O
+질병X 나누기
2) 질병O =특정요인 노출O
+특정요인 노출X
( 그중에 몇명이 특정요인 노출됬냐 )
3) 질병X =특정요인 노출O
+특정요인 노출X
( 그중에 몇명이 특정요인 노출됬냐 )
코호트 연구의 장단점
1) 장점 : 시간의 흐름에 따른 정보 + 다양한 요인 노출도 수집가능 + 질병위험도 산출
2) 단점 : 추적조사 놓치기 쉬움 + 희귀질병시 추적기간 매우 길어짐 -> 편향이 생길 수 있음.
Propensity Score Matching(성향 점수 매칭) for 후향적 코호트 연구(환자-대조군 연구)
환자 대조군 연구(case control study)는 후향적 코호트 연구에 속하며,
- 질병O(
환자군
)과 질병X(대조군
)을 나눈 뒤, - 각 군에 대해서
위험요인O
+위험요인X
나뉘는 것을 관찰한다.
그러나 RCT(Randomized Cotrolled Trial) - 무작위 대조군 실험과 같이 무작위 배정이 일어나지 않으므로, 편향이 생길 수 있다. 이 때, 사용하는 개념이 매칭
이다.매칭
에는 빈도매칭
(전체적인 특성 맞추기 - 연령 등)과 대응매칭
(개인적인 특성 맞춤)으로 나뉠 수 있다.
여기서는 성향점수매칭
을 이용하여, n수가 적은 환자군에 비해 n수가 너무 많아 bias가 포함
되어있는 대조군
을 매칭 시켜줄 것이다.
후향적 코호트 연구(환자-대조군 연구)에서는
환자군(Case군, n수 적음)과 대조군(Control군, n수 많음)은 n수 차이로 인해 base characteristics(기본특성)이 맞지 않아,
선택 편향(slection bias)
이 발생한다.Case군의 임상적 특징을 갖는 대상을 control군내에서 골라내어 맞추는 작업이 필요하다
- 환자군 100명, 대조군 900명의 unbalanced data라면, 대조군 900명 중 환자군과 유사한 사람 100명을 뽑아서 맞춰주어야한다.
이 때 . base성격(case군의 임상적특징)이 같은 여성을 뽑는 방법이 PSM이며,
공변량(공통 칼럼)의 수준을 맞춤
으로서, 특정 독립변수가 종속변수에 미치는 영향을 파악할 수 있게 해준다.`예시
경구피임약이 유방암에 미치는 영향을 조사한다.
1) Case : 유방암(질병O)이 발생한 여성
2) Cotrol : 유방암이 발생하지 않은(질병X) 모든(X)base 성격이 유사한
여성
코드로 구현해보기
3-4. 후향적 코호트 연구(환자-대조군 연구)와 PSM
PSM(성향 점수 매칭)
- 후향적 연구에서 n수가 많은 contrl(대조군) 중 case(환자군)과 base성격이 비슷한 것 뽑기
- na값이 있으면 MatchIt 패키지가 작동하지 않으니 미리 제거해놓아야한다.
# install.packages("optmatch")
# library(optmatch) # 쓰이진 않았으나,, 흠..
# install.packages("MatchIt")
library(MatchIt)
# 1. 데이터 준비하기
library(moonBook)
acs2 <- na.omit(acs)
# 2. 데이터에서 case / contrl 가르기
# 데이터에서 환자군(case)과 대조군(control)를 가르기 위한 칼럼 생성해주기
# - acs2데이터 중에서 1) Dx가 "STEMI" 2) obesity가 Yes인 경우를 case군 1로 본다. 그렇않으면 control군으로서 0으로 본다.
# - ifelse (조건, 조건만족시 값, 조건불만족시의 값)
acs2$case_control <- ifelse( acs2$Dx == "STEMI" & acs2$obesity == "Yes", 1, 0)
# case/contrl분류 칼럼(범주형 칼럼) 확인 -> 범주 1개라도 table()로 범주형의 빈도 확인하기
table(acs2$case_control)
##
## 0 1
## 586 91
# 3. control군을 case군에 PSM 해주기 by age, sex, BMI로 ***절대 종속변수(폐암)과 특정요인(흡연)을 PSM기준으로 넣지 않는다!
# - MatchIt 패키지 - matchit()함수를 쓰며, method는 일단 "optimal"로 해준다.
# - case군 91건에 비해 ratio 3배로 뽑아 대조군 273건을 만든다. 기준은 3개의 공변량을 지정해줬다.
opt <- matchit( case_control ~ age + sex + BMI, method = "optimal", data = acs2, ratio = 3)
## Warning in optmatch::fullmatch(d, min.controls = ratio, max.controls = ratio, : Without 'data' argument the order of the match is not guaranteed
## to be the same as your original data.
summary(opt) # 3개의 칼럼을 기준(보통 인구통계학적 칼럼)으로 매칭시킨 control군 273개, case 91개
##
## Call:
## matchit(formula = case_control ~ age + sex + BMI, data = acs2,
## method = "optimal", ratio = 3)
##
## Summary of balance for all data:
## Means Treated Means Control SD Control Mean Diff eQQ Med
## distance 0.2629 0.1145 0.1284 0.1484 0.1269
## age 58.9780 63.7099 11.7782 -4.7319 5.0000
## sexFemale 0.2527 0.3413 0.4745 -0.0885 0.0000
## sexMale 0.7473 0.6587 0.4745 0.0885 0.0000
## BMI 27.4390 23.7060 3.2452 3.7330 3.3811
## eQQ Mean eQQ Max
## distance 0.1468 0.2894
## age 4.7033 8.0000
## sexFemale 0.0879 1.0000
## sexMale 0.0879 1.0000
## BMI 3.7942 9.4500
##
##
## Summary of balance for matched data:
## Means Treated Means Control SD Control Mean Diff eQQ Med
## distance 0.2629 0.1970 0.1490 0.0659 0.0582
## age 58.9780 59.9744 11.1096 -0.9963 1.0000
## sexFemale 0.2527 0.2308 0.4221 0.0220 0.0000
## sexMale 0.7473 0.7692 0.4221 -0.0220 0.0000
## BMI 27.4390 26.1883 2.6436 1.2507 1.3298
## eQQ Mean eQQ Max
## distance 0.0671 0.1844
## age 1.4396 6.0000
## sexFemale 0.0220 1.0000
## sexMale 0.0220 1.0000
## BMI 1.3628 4.7419
##
## Percent Balance Improvement:
## Mean Diff. eQQ Med eQQ Mean eQQ Max
## distance 55.6152 54.1190 54.3272 36.3000
## age 78.9441 80.0000 69.3925 25.0000
## sexFemale 75.1800 0.0000 75.0000 0.0000
## sexMale 75.1800 0.0000 75.0000 0.0000
## BMI 66.4967 60.6702 64.0818 49.8212
##
## Sample sizes:
## Control Treated
## All 586 91
## Matched 273 91
## Unmatched 313 0
## Discarded 0 0
# 4. PSM을 거친 case(91)과 control(273)의 자료 opt 객체 안의 data만 뽑아보자.
# - 사실 이 자료들은 case(91)에 대해서, 3개의 기준칼럼간에 distance가 가까운 contol(273)을 뽑아준다.
# - case1 control 0으로 지정해놓았는데, 이것을 종속변수로한 로지스틱회귀분석을 통해 0 ~ 1사이의 확률을 distance로 보고, control 0인 자료중 case 1에 가까운 자료들 273개를 뽑았을 것이다.
# - 결과적으로 distance( 0 ~ 1 확률) 칼럼도 생기는 것 같다.
opt.data <- match.data(opt)
head(opt.data)
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168 72
## 5 56 Male No Radial NSTEMI 21.8 162 64
## 6 73 Female No Radial Unstable Angina 22.0 153 59
## 7 58 Male No Radial Unstable Angina 24.7 167 78
## 9 59 Female No Radial Unstable Angina 28.5 152 67
## 12 52 Female No Radial Unstable Angina 31.1 156 63
## BMI obesity TC LDLC HDLC TG DM HBP smoking case_control
## 1 25.51020 Yes 215 154 35 155 Yes No Smoker 1
## 5 24.38653 No 195 151 36 63 Yes Yes Smoker 0
## 6 25.20398 Yes 184 112 38 137 Yes Yes Never 0
## 7 27.96802 Yes 161 91 34 196 Yes Yes Ex-smoker 0
## 9 28.99931 Yes 239 161 34 118 Yes Yes Never 0
## 12 25.88757 Yes 184 123 43 72 Yes Yes Never 0
## distance weights subclass
## 1 0.15417267 1 1
## 5 0.11760849 1 44
## 6 0.08791559 1 55
## 7 0.30317725 1 59
## 9 0.28675559 1 58
## 12 0.13214478 1 1
연습다시 해보기
- acs -> 결측값 제거 -> acs3로 저장 -> ifelse 문으로 case/control 가르는 칼럼 지정 -> ratio 2배로 뽑아보기
- 비만이 남자가 case , 그외 비만- 여자 + 비만x 남자 + 비만x 여자는 대조군
- 추출변수(case와 맞춰줄 인구통계 변수)는 age, BMI
acs3 <- na.omit(acs)
acs3$case_control <- ifelse( acs3$obesity == "Yes" & acs3$sex == "Male", 1, 0)
table( acs3$case_control )
##
## 0 1
## 500 177
opt2 <- matchit( case_control ~ age + BMI, method = "optimal", data = acs3, ratio =2 )
## Warning in optmatch::fullmatch(d, min.controls = ratio, max.controls = ratio, : Without 'data' argument the order of the match is not guaranteed
## to be the same as your original data.
summary(opt2) # case(Treated) 177 , contrl 354
##
## Call:
## matchit(formula = case_control ~ age + BMI, data = acs3, method = "optimal",
## ratio = 2)
##
## Summary of balance for all data:
## Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean
## distance 0.5679 0.1530 0.2052 0.4150 0.4297 0.4146
## age 57.5650 65.0240 11.6706 -7.4590 8.0000 7.4011
## BMI 27.3810 23.0844 2.9534 4.2966 3.9319 4.2867
## eQQ Max
## distance 0.6091
## age 11.0000
## BMI 9.3978
##
##
## Summary of balance for matched data:
## Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean
## distance 0.5679 0.2109 0.2190 0.3570 0.3690 0.3586
## age 57.5650 62.4718 11.2119 -4.9068 5.0000 4.8418
## BMI 27.3810 24.3167 2.4533 3.0643 3.0018 3.0747
## eQQ Max
## distance 0.5337
## age 8.0000
## BMI 5.0135
##
## Percent Balance Improvement:
## Mean Diff. eQQ Med eQQ Mean eQQ Max
## distance 13.9564 14.1371 13.5022 12.3878
## age 34.2169 37.5000 34.5802 27.2727
## BMI 28.6800 23.6552 28.2740 46.6523
##
## Sample sizes:
## Control Treated
## All 500 177
## Matched 354 177
## Unmatched 146 0
## Discarded 0 0
opt2.data <- match.data(opt2)
head(opt2.data)
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168 72
## 5 56 Male No Radial NSTEMI 21.8 162 64
## 6 73 Female No Radial Unstable Angina 22.0 153 59
## 7 58 Male No Radial Unstable Angina 24.7 167 78
## 9 59 Female No Radial Unstable Angina 28.5 152 67
## 12 52 Female No Radial Unstable Angina 31.1 156 63
## BMI obesity TC LDLC HDLC TG DM HBP smoking case_control
## 1 25.51020 Yes 215 154 35 155 Yes No Smoker 1
## 5 24.38653 No 195 151 36 63 Yes Yes Smoker 0
## 6 25.20398 Yes 184 112 38 137 Yes Yes Never 0
## 7 27.96802 Yes 161 91 34 196 Yes Yes Ex-smoker 1
## 9 28.99931 Yes 239 161 34 118 Yes Yes Never 0
## 12 25.88757 Yes 184 123 43 72 Yes Yes Never 0
## distance weights subclass
## 1 0.3028581 1 1
## 5 0.2291040 1 56
## 6 0.1643829 1 35
## 7 0.7171087 1 77
## 9 0.8211678 1 52
## 12 0.4871921 1 103
QUIZ - 1
- 데이터(COPD_Lung_Cancer.csv)를 불러들이고 난후(df로 이름저장), 각 변수별 missing rate를 확인
- mice 패키지의 md.pattern함수, VIM 패키지의 aggr함수 활용
- is.na()활용
- Missing rate가 5%가 넘는 변수는 제외하여 df2로 저장
getwd()
## [1] "C:/Users/is2js/R_da/myR"
# 불러오기
df <- read.csv('C:/Users/is2js/R_da/myR/week4/4주차_코드/COPD_Lung_Cancer.csv', header = T)
head(df)
## PERSON_ID SEX DTH CTRB_PT_TYPE_CD BMI BP_LWST BLDS TOT_CHOLE HMG
## 1 10000065 1 0 8 25.73 90 112 177 12.2
## 2 10000183 1 0 9 22.77 100 105 177 15.7
## 3 10000269 1 0 8 24.54 70 76 156 13.1
## 4 10000471 1 0 1 21.63 100 70 228 14.0
## 5 10000788 2 0 7 25.65 54 113 199 12.1
## 6 10001096 2 0 3 19.84 60 137 182 12.0
## FMLY_CANCER_PATIEN_YN SMK_STAT_TYPE DRNK_HABIT EXERCI_FREQ lungC copd
## 1 1 1 1 1 0 0
## 2 1 1 5 1 0 1
## 3 1 1 1 1 1 1
## 4 NA 1 1 1 0 1
## 5 1 1 1 1 0 0
## 6 1 1 1 1 0 0
## Asthma DM Tub before_op_score after_op_score
## 1 0 1 0 44 52
## 2 1 1 0 44 53
## 3 0 1 1 37 60
## 4 0 1 0 50 44
## 5 1 1 0 31 43
## 6 0 0 0 34 49
# 전체 missing 값 확인
sum( is.na(df))
## [1] 228
# 전체 missing rate 확인
round( sum( is.na(df)) / (nrow(df) * ncol(df)) * 100 , 2)
## [1] 1.21
# 각 변수별 missing 개수 확인
apply( is.na(df), MARGIN = 2, FUN = "sum")
## PERSON_ID SEX DTH
## 0 0 0
## CTRB_PT_TYPE_CD BMI BP_LWST
## 0 0 0
## BLDS TOT_CHOLE HMG
## 8 10 6
## FMLY_CANCER_PATIEN_YN SMK_STAT_TYPE DRNK_HABIT
## 91 44 33
## EXERCI_FREQ lungC copd
## 36 0 0
## Asthma DM Tub
## 0 0 0
## before_op_score after_op_score
## 0 0
# 각 변수별 missing rate 확인
round( (apply( is.na(df), MARGIN = 2, FUN = "sum") / nrow(df) )* 100, 2)
## PERSON_ID SEX DTH
## 0.00 0.00 0.00
## CTRB_PT_TYPE_CD BMI BP_LWST
## 0.00 0.00 0.00
## BLDS TOT_CHOLE HMG
## 0.85 1.06 0.64
## FMLY_CANCER_PATIEN_YN SMK_STAT_TYPE DRNK_HABIT
## 9.64 4.66 3.50
## EXERCI_FREQ lungC copd
## 3.81 0.00 0.00
## Asthma DM Tub
## 0.00 0.00 0.00
## before_op_score after_op_score
## 0.00 0.00
# mice패키지 - md.pattern()를 이용한 missing value 패턴확인
library(mice)
## Loading required package: lattice
##
## Attaching package: 'lattice'
## The following object is masked from 'package:moonBook':
##
## densityplot
##
## Attaching package: 'mice'
## The following objects are masked from 'package:base':
##
## cbind, rbind
md.pattern(df)
## PERSON_ID SEX DTH CTRB_PT_TYPE_CD BMI BP_LWST lungC copd Asthma DM Tub
## 794 1 1 1 1 1 1 1 1 1 1 1
## 81 1 1 1 1 1 1 1 1 1 1 1
## 8 1 1 1 1 1 1 1 1 1 1 1
## 4 1 1 1 1 1 1 1 1 1 1 1
## 11 1 1 1 1 1 1 1 1 1 1 1
## 2 1 1 1 1 1 1 1 1 1 1 1
## 2 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 7 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 20 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 2 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 4 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1
## 0 0 0 0 0 0 0 0 0 0 0
## before_op_score after_op_score HMG BLDS TOT_CHOLE DRNK_HABIT
## 794 1 1 1 1 1 1
## 81 1 1 1 1 1 1
## 8 1 1 1 1 1 1
## 4 1 1 1 1 1 1
## 11 1 1 1 1 1 1
## 2 1 1 1 1 1 1
## 2 1 1 1 1 1 0
## 1 1 1 1 1 1 0
## 7 1 1 1 1 1 0
## 1 1 1 1 1 1 0
## 1 1 1 1 1 1 0
## 20 1 1 1 1 1 0
## 1 1 1 1 1 1 0
## 2 1 1 1 1 0 1
## 1 1 1 1 1 0 1
## 1 1 1 1 0 1 1
## 1 1 1 1 0 0 1
## 4 1 1 0 0 0 1
## 1 1 1 0 0 0 1
## 1 1 1 0 0 0 1
## 0 0 6 8 10 33
## EXERCI_FREQ SMK_STAT_TYPE FMLY_CANCER_PATIEN_YN
## 794 1 1 1 0
## 81 1 1 0 1
## 8 1 0 1 1
## 4 1 0 0 2
## 11 0 1 1 1
## 2 0 0 1 2
## 2 1 1 1 1
## 1 1 1 0 2
## 7 1 0 1 2
## 1 1 0 0 3
## 1 0 1 1 2
## 20 0 0 1 3
## 1 0 0 0 4
## 2 1 1 1 1
## 1 1 1 0 2
## 1 1 1 0 2
## 1 1 1 1 2
## 4 1 1 1 3
## 1 1 1 0 4
## 1 0 0 1 5
## 36 44 91 228
# VIM패키지 - aggr()을 이용한 missing value확인
library(VIM)
## Loading required package: colorspace
## Loading required package: grid
## Loading required package: data.table
## VIM is ready to use.
## Since version 4.0.0 the GUI is in its own package VIMGUI.
##
## Please use the package to use the new (and old) GUI.
## Suggestions and bug-reports can be submitted at: https://github.com/alexkowa/VIM/issues
##
## Attaching package: 'VIM'
## The following object is masked from 'package:datasets':
##
## sleep
missing_pattern <- aggr(df)
missing_pattern$missings # aggr()의 값중에서도 $를 통해 missing value 개수를 빼낼 수 있음
## Variable Count
## PERSON_ID PERSON_ID 0
## SEX SEX 0
## DTH DTH 0
## CTRB_PT_TYPE_CD CTRB_PT_TYPE_CD 0
## BMI BMI 0
## BP_LWST BP_LWST 0
## BLDS BLDS 8
## TOT_CHOLE TOT_CHOLE 10
## HMG HMG 6
## FMLY_CANCER_PATIEN_YN FMLY_CANCER_PATIEN_YN 91
## SMK_STAT_TYPE SMK_STAT_TYPE 44
## DRNK_HABIT DRNK_HABIT 33
## EXERCI_FREQ EXERCI_FREQ 36
## lungC lungC 0
## copd copd 0
## Asthma Asthma 0
## DM DM 0
## Tub Tub 0
## before_op_score before_op_score 0
## after_op_score after_op_score 0
missing_pattern$missings$Count # 칼럼의 순서를 기억하면서, 갯수만 빼낼 수 있다.
## [1] 0 0 0 0 0 0 8 10 6 91 44 33 36 0 0 0 0 0 0 0
(missing_pattern$missings$Count / nrow(df) )* 100 # missing rate 5%이상은 10번째 칼럼
## [1] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.8474576
## [8] 1.0593220 0.6355932 9.6398305 4.6610169 3.4957627 3.8135593 0.0000000
## [15] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
df2 <- df[,-c(1, 10)] # 앞에 -를 달아서, 해당것만 제외하고 인덱싱할 있다. 첫번째 칼럼은 id칼럼이라서 제외시킨다.
head(df2)
## SEX DTH CTRB_PT_TYPE_CD BMI BP_LWST BLDS TOT_CHOLE HMG SMK_STAT_TYPE
## 1 1 0 8 25.73 90 112 177 12.2 1
## 2 1 0 9 22.77 100 105 177 15.7 1
## 3 1 0 8 24.54 70 76 156 13.1 1
## 4 1 0 1 21.63 100 70 228 14.0 1
## 5 2 0 7 25.65 54 113 199 12.1 1
## 6 2 0 3 19.84 60 137 182 12.0 1
## DRNK_HABIT EXERCI_FREQ lungC copd Asthma DM Tub before_op_score
## 1 1 1 0 0 0 1 0 44
## 2 5 1 0 1 1 1 0 44
## 3 1 1 1 1 0 1 1 37
## 4 1 1 0 1 0 1 0 50
## 5 1 1 0 0 1 1 0 31
## 6 1 1 0 0 0 0 0 34
## after_op_score
## 1 52
## 2 53
## 3 60
## 4 44
## 5 43
## 6 49
QUIZ - 2
- df2에서 ifelse를 활용하여 1,0 생성(criteria 변수 : BMI>25 & DM=1인 값)
- Sex, BMI, BP_LWST가 비슷한 환자군 고르기
- 1:2 ratio
# ifelse : y/n형태로 범주화칼럼을 생성해서 0:대조군 1:환자군(case)를 만든다.
df2$case_contorl <- ifelse( df2$BMI > 25 & df2$DM == 1, 1, 0)
# PSM전에는 missing value가 있으면 안된다.
df2<-na.omit(df2)
# MatchIt 패키지 - matchif()함수로 , 기준칼럼들을 기준으로 환자군과 비슷한 대조군을 1:2배율로 뽑아낸다
library(MatchIt)
opt <- matchit( case_contorl ~ SEX + BMI + BP_LWST,
method = "optimal",
data = df2,
ratio = 2)
## Warning in optmatch::fullmatch(d, min.controls = ratio, max.controls = ratio, : Without 'data' argument the order of the match is not guaranteed
## to be the same as your original data.
# 뽑힌 대조군(2:1)환자군 수 확인
summary(opt)
##
## Call:
## matchit(formula = case_contorl ~ SEX + BMI + BP_LWST, data = df2,
## method = "optimal", ratio = 2)
##
## Summary of balance for all data:
## Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean
## distance 0.5453 0.0888 0.1751 0.4564 0.427 0.4548
## SEX 1.6573 1.5628 0.4964 0.0945 0.000 0.0979
## BMI 26.9328 21.8550 2.8444 5.0778 4.560 5.0863
## BP_LWST 81.2238 81.0464 12.0707 0.1773 0.000 0.9580
## eQQ Max
## distance 0.7382
## SEX 1.0000
## BMI 12.3900
## BP_LWST 15.0000
##
##
## Summary of balance for matched data:
## Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean
## distance 0.5453 0.2119 0.2314 0.3334 0.3204 0.3350
## SEX 1.6573 1.5490 0.4985 0.1084 0.0000 0.1119
## BMI 26.9328 24.5638 1.7015 2.3690 2.2900 2.3844
## BP_LWST 81.2238 81.9441 12.3441 -0.7203 0.0000 0.9371
## eQQ Max
## distance 0.5623
## SEX 1.0000
## BMI 3.0600
## BP_LWST 15.0000
##
## Percent Balance Improvement:
## Mean Diff. eQQ Med eQQ Mean eQQ Max
## distance 26.9584 24.9694 26.3326 23.8321
## SEX -14.6987 0.0000 -14.2857 0.0000
## BMI 53.3451 49.7807 53.1210 75.3027
## BP_LWST -306.1847 0.0000 2.1898 0.0000
##
## Sample sizes:
## Control Treated
## All 732 143
## Matched 286 143
## Unmatched 446 0
## Discarded 0 0
# 뽑은 데이터만 가져오기
opt.data <- match.data(opt)
nrow(opt.data) # 286 + 143 = 429
## [1] 429
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
3-6. 반복문, ifelse-binning + 빈도분석, 데이터합치기(rbind, cbind, merge) (0) | 2019.02.17 |
---|---|
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 (0) | 2019.02.17 |
3-3 Rmarkdown 이상치와 결측치 (0) | 2019.02.16 |
3-2. 결측값(결측치) (1) | 2019.02.14 |
3-1. 이상치 (0) | 2019.02.14 |
3-3 Rmarkdown 이상치와 결측치
데이터 준비
data<- data.frame(
gender = c("M", "F", "F", "M", "M", "F"),
age=c(25,35,10,48,50,45),
height=c(180,160,150,175,170,300)
)
data
## gender age height
## 1 M 25 180
## 2 F 35 160
## 3 F 10 150
## 4 M 48 175
## 5 M 50 170
## 6 F 45 300
data[1,] # 행 인덱싱
## gender age height
## 1 M 25 180
data[,1] # 칼럼 인덱싱1
## [1] M F F M M F
## Levels: F M
data[, c(2, 3)] # 칼럼 2개부터는 c()으로 묶어
## age height
## 1 25 180
## 2 35 160
## 3 10 150
## 4 48 175
## 5 50 170
## 6 45 300
data$gender # 칼럼 인덱싱2
## [1] M F F M M F
## Levels: F M
data[ data$gender == "M", ] # 조건을 만족하는 데이터만 인덱싱
## gender age height
## 1 M 25 180
## 4 M 48 175
## 5 M 50 170
이상치 발견하기
- 시각화로 발견
- Z표준화한 뒤, 3 이상 넘어가는지 확인
# 1. 시각화로 발견( 결측치는 표 + 시각화)
# 1_1. 박스플롯
boxplot(data$height)
# 1_2. 단변수면 histogram (이변수몇 scatterplot)
hist(data$height)
# 2. Z분포(표준화)로 만든 뒤, 3( 3sd = 99.7%)이상으로 넘어가는지
# 2_1. Z분포 - 표준화 - scaling해서 3sd 바깥에 분포하는지 확인
# Z = (X - m) / sd => 편차가 몇 sd(시그마)인지 알려주므로, -2,2 보다 크면 2sd이상 , -3, 3보다 크면 3sd이상의 이상값으로 취급
# 해석) -1 ~ 1 = 68.3% 안에 들어옴 , -2 ~ 2 = 95.5%안에 들어옴, -3 ~ 3 = 99.7% 안에 들어옴 -> 이것보다 바깥이면.. 반대확률
( data$height - mean(data$height)) / sd(data$height) # 2보다 큰것 -> 95.5%보다 바깥이다. 3보다 큰것 -> 99.7%보다 바깥이다.
## [1] -0.1655981 -0.5269029 -0.7075554 -0.2559243 -0.3462505 2.0022311
# 2_2. scale( data ) 함수 이용
scale(data$height)
## [,1]
## [1,] -0.1655981
## [2,] -0.5269029
## [3,] -0.7075554
## [4,] -0.2559243
## [5,] -0.3462505
## [6,] 2.0022311
## attr(,"scaled:center")
## [1] 189.1667
## attr(,"scaled:scale")
## [1] 55.35492
이상치 처리
- 발견한 이상치 + 해당행렬번호를 알고 있어야함
- 삭제 : 행인덱싱 + (!)로 <이상치 아닌 데이터들만> 가져오기
- (평균)대치 : 행인덱싱 + (!) + 칼럼인덱싱으로 <이상치 아닌 칼럼만>가져와서 + mean()평균 낸 값을 + [m,n]으로 직접대입
- (조건부+평균)대치 : 행인덱싱 + (!) & 다른범주의 조건 + 칼럼인덱싱으로 <특정범주별 이상치 아닌 칼럼만>가져와서 + mean()평균내어 직접 대입
# height칼럼의 300이 이상치, 그 위치가 [6,3]라고 가정한다.
data[6,3]
## [1] 300
# 1. 삭제 : 말만 삭제지 아닌 것을 행인덱싱한다.
data[ !data$height == 300,]
## gender age height
## 1 M 25 180
## 2 F 35 160
## 3 F 10 150
## 4 M 48 175
## 5 M 50 170
# 2. 평균을 대치
# 해당칼럼의 이상치를 제거해놓고 구한 평균을 직접 대입
data[ !data$height == 300, "height"]
## [1] 180 160 150 175 170
mean(data[ !data$height == 300, "height"])
## [1] 167
data[6,3] <- mean(data[ !data$height == 300, "height"])
# 3. 범주별 평균을 대치
# 2_2. 해당칼럼의 이상치를 제거해놓고 & 다른범주칼럼의 범주도 정해놓은 상태에서 구한 평균을 직접 대입
data[ !data$height == 300 & data$gender == "F", "height"]
## [1] 160 150 167
mean(data[ !data$height == 300 & data$gender == "F", "height"])
## [1] 159
data[6, 3] <- mean(data[ !data$height == 300 & data$gender == "F", "height"])
View(data)
결측값 발견하기
- 전체 결측치 개수 : sum(is.na( data )) - is.na(data)로 전체 na마스크 만든 다음 sum()하기
- 전체 결측률 : mean(!complete.cases( data ))
- 칼럼별 결측치 개수 : table( is.na( data$칼럼명 ))
# 데이터 준비
# install.packages("moonBook")
library(moonBook)
# 데이터 확인
dim(acs)
## [1] 857 17
head(acs)
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168 72
## 2 78 Female No Femoral STEMI 18.4 148 48
## 3 76 Female Yes Femoral STEMI 20.0 NA NA
## 4 89 Female No Femoral STEMI 21.8 165 50
## 5 56 Male No Radial NSTEMI 21.8 162 64
## 6 73 Female No Radial Unstable Angina 22.0 153 59
## BMI obesity TC LDLC HDLC TG DM HBP smoking
## 1 25.51020 Yes 215 154 35 155 Yes No Smoker
## 2 21.91381 No NA NA NA 166 No Yes Never
## 3 NA No NA NA NA NA No Yes Never
## 4 18.36547 No 121 73 20 89 No No Never
## 5 24.38653 No 195 151 36 63 Yes Yes Smoker
## 6 25.20398 Yes 184 112 38 137 Yes Yes Never
str(acs)
## 'data.frame': 857 obs. of 17 variables:
## $ age : int 62 78 76 89 56 73 58 62 59 71 ...
## $ sex : chr "Male" "Female" "Female" "Female" ...
## $ cardiogenicShock: chr "No" "No" "Yes" "No" ...
## $ entry : chr "Femoral" "Femoral" "Femoral" "Femoral" ...
## $ Dx : chr "STEMI" "STEMI" "STEMI" "STEMI" ...
## $ EF : num 18 18.4 20 21.8 21.8 22 24.7 26.6 28.5 31.1 ...
## $ height : num 168 148 NA 165 162 153 167 160 152 168 ...
## $ weight : num 72 48 NA 50 64 59 78 50 67 60 ...
## $ BMI : num 25.5 21.9 NA 18.4 24.4 ...
## $ obesity : chr "Yes" "No" "No" "No" ...
## $ TC : num 215 NA NA 121 195 184 161 136 239 169 ...
## $ LDLC : int 154 NA NA 73 151 112 91 88 161 88 ...
## $ HDLC : int 35 NA NA 20 36 38 34 33 34 54 ...
## $ TG : int 155 166 NA 89 63 137 196 30 118 141 ...
## $ DM : chr "Yes" "No" "No" "No" ...
## $ HBP : chr "No" "Yes" "Yes" "No" ...
## $ smoking : chr "Smoker" "Never" "Never" "Never" ...
summary(acs)
## age sex cardiogenicShock entry
## Min. :28.00 Length:857 Length:857 Length:857
## 1st Qu.:55.00 Class :character Class :character Class :character
## Median :64.00 Mode :character Mode :character Mode :character
## Mean :63.31
## 3rd Qu.:72.00
## Max. :91.00
##
## Dx EF height weight
## Length:857 Min. :18.00 Min. :130.0 Min. : 30.00
## Class :character 1st Qu.:50.45 1st Qu.:158.0 1st Qu.: 58.00
## Mode :character Median :58.10 Median :165.0 Median : 65.00
## Mean :55.83 Mean :163.2 Mean : 64.84
## 3rd Qu.:62.35 3rd Qu.:170.0 3rd Qu.: 72.00
## Max. :79.00 Max. :185.0 Max. :112.00
## NA's :134 NA's :93 NA's :91
## BMI obesity TC LDLC
## Min. :15.62 Length:857 Min. : 25.0 Min. : 15.0
## 1st Qu.:22.13 Class :character 1st Qu.:154.0 1st Qu.: 88.0
## Median :24.16 Mode :character Median :183.0 Median :114.0
## Mean :24.28 Mean :185.2 Mean :116.6
## 3rd Qu.:26.17 3rd Qu.:213.0 3rd Qu.:141.0
## Max. :41.42 Max. :493.0 Max. :366.0
## NA's :93 NA's :23 NA's :24
## HDLC TG DM HBP
## Min. : 4.00 Min. : 11.0 Length:857 Length:857
## 1st Qu.:32.00 1st Qu.: 68.0 Class :character Class :character
## Median :38.00 Median :105.5 Mode :character Mode :character
## Mean :38.24 Mean :125.2
## 3rd Qu.:45.00 3rd Qu.:154.0
## Max. :89.00 Max. :877.0
## NA's :23 NA's :15
## smoking
## Length:857
## Class :character
## Mode :character
##
##
##
##
apply(is.na(acs), MARGIN = 2, FUN = 'sum')
## age sex cardiogenicShock entry
## 0 0 0 0
## Dx EF height weight
## 0 134 93 91
## BMI obesity TC LDLC
## 93 0 23 24
## HDLC TG DM HBP
## 23 15 0 0
## smoking
## 0
# 결측치 확인하기
# 1. 전체 결측치
sum( is.na(acs))
## [1] 496
# 2. 전체 결측률
complete.cases(acs) # 결측치 아닌 것들만 1의 마스크 -> 필요시 행인덱싱에 넣어 결측치 제거한 데이터만 사용가능
## [1] TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [12] TRUE TRUE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE
## [23] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [34] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [45] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [56] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [67] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [78] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [89] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [100] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [111] TRUE TRUE TRUE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE
## [122] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [133] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [144] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [155] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [166] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [177] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [188] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [199] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [210] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [221] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [232] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [243] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [254] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [265] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [276] TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [287] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [298] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [309] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [320] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [331] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [342] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [353] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [364] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [375] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [386] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [397] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [408] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [419] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [430] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [441] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [452] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [463] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [474] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [485] TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [496] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [507] TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [518] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [529] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [540] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [551] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [562] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [573] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [584] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [595] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [606] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [617] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [628] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [639] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [650] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [661] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [672] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [683] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE FALSE TRUE TRUE
## [694] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [705] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [716] FALSE TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
## [727] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [738] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [749] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [760] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [771] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [782] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [793] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [804] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [815] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [826] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [837] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [848] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
!complete.cases(acs) # 결측치만 1인 마스크
## [1] FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [12] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE
## [23] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
## [34] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [45] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [56] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [67] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
## [78] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## [89] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [100] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [111] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE
## [122] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [144] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [155] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [166] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [177] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [188] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [199] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [210] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
## [221] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [232] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [243] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [254] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [276] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [287] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [298] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [309] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [320] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## [331] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [342] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [353] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [364] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [375] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [386] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [397] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
## [408] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
## [419] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [430] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## [441] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [452] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [463] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [474] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [485] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [496] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [507] FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [518] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [529] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [540] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [551] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [562] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [573] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE
## [584] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## [595] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [606] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [617] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [628] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [639] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [650] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [661] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
## [672] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [683] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE
## [694] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
## [705] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
## [716] TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
## [727] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [738] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [749] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [760] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [771] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [782] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [793] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [804] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [815] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [826] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [837] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [848] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
mean(!complete.cases(acs)) # 결측치만 1
## [1] 0.210035
# 3. 칼럼별 인덱싱하여 결측인거 아닌것 갯수 파악 : table( is.na( data$칼럼 ))
table(is.na(acs$height))
##
## FALSE TRUE
## 764 93
# 4. 데이터 확인시 배운 apply()이용한 전체 칼럼별 na갯수
apply(is.na(acs), MARGIN = 2, FUN = 'sum')
## age sex cardiogenicShock entry
## 0 0 0 0
## Dx EF height weight
## 0 134 93 91
## BMI obesity TC LDLC
## 93 0 23 24
## HDLC TG DM HBP
## 23 15 0 0
## smoking
## 0
결측값 시각화해서 보기
# install.packages("wakefield")
# 1. mice로 결측치의 패턴보기
# install.packages("mice")
library(mice)
## Loading required package: lattice
##
## Attaching package: 'lattice'
## The following object is masked from 'package:moonBook':
##
## densityplot
##
## Attaching package: 'mice'
## The following objects are masked from 'package:base':
##
## cbind, rbind
# 1_1. 결측치 패턴 시각화 및 표
# https://m.blog.naver.com/tjdudwo93/220976082118
# 맨우측열 -> 결측치존재칼럼의 수(만약, 같은 수가 여러개 -> 결측치 갯수가 똑같으나 칼럼조합별로 나뉜 것)
# 맨왼쪽열 -> 결측치 칼럼별 row데이터의 갯수
# 맨아래행 -> 각 칼럼별 결측치의 갯수
# 우하단 끝칸 -> 각 칼럼별 결측치 갯수의 합 -> 전체 결측시 갯수
md.pattern(acs) # 결측치의 패턴을 알아볼 수 있다.
## age sex cardiogenicShock entry Dx obesity DM HBP smoking TG TC HDLC
## 677 1 1 1 1 1 1 1 1 1 1 1 1
## 74 1 1 1 1 1 1 1 1 1 1 1 1
## 2 1 1 1 1 1 1 1 1 1 1 1 1
## 32 1 1 1 1 1 1 1 1 1 1 1 1
## 47 1 1 1 1 1 1 1 1 1 1 1 1
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 5 1 1 1 1 1 1 1 1 1 1 0 0
## 1 1 1 1 1 1 1 1 1 1 1 0 0
## 3 1 1 1 1 1 1 1 1 1 1 0 0
## 1 1 1 1 1 1 1 1 1 1 0 1 1
## 6 1 1 1 1 1 1 1 1 1 0 0 0
## 2 1 1 1 1 1 1 1 1 1 0 0 0
## 6 1 1 1 1 1 1 1 1 1 0 0 0
## 0 0 0 0 0 0 0 0 0 15 23 23
## LDLC weight height BMI EF
## 677 1 1 1 1 1 0
## 74 1 1 1 1 0 1
## 2 1 1 0 0 0 3
## 32 1 0 0 0 1 3
## 47 1 0 0 0 0 4
## 1 0 1 1 1 1 1
## 5 0 1 1 1 1 3
## 1 0 1 1 1 0 4
## 3 0 0 0 0 0 7
## 1 1 0 0 0 0 5
## 6 0 1 1 1 1 4
## 2 0 0 0 0 1 7
## 6 0 0 0 0 0 8
## 24 91 93 93 134 496
# 2. VIM 패키지- aggr(data)로 결측치 패턴 보기
# install.packages("VIM")
library(VIM)
## Loading required package: colorspace
## Loading required package: grid
## Loading required package: data.table
## VIM is ready to use.
## Since version 4.0.0 the GUI is in its own package VIMGUI.
##
## Please use the package to use the new (and old) GUI.
## Suggestions and bug-reports can be submitted at: https://github.com/alexkowa/VIM/issues
##
## Attaching package: 'VIM'
## The following object is masked from 'package:datasets':
##
## sleep
aggr(acs)
# 2_2. 숫자형 변수의 null값 boxplot + 산점도?
marginplot(acs[, c("BMI", "weight")], cex.numbers = 1.2, pch = 19)
# install.packages("MatchIt")
# install.packages("optmatch")
결측값 처리하기
- 전체na 삭제한 데이터 만들기 2가지 방법 : na.omit() , complete.cases()마스크 행인덱싱
- 부분삭제 : 칼럼명인덱싱한 것에 is.na() + ! 를 달아서, na가 아닌 것만 골라내기( 말만 삭제 )
- 대치와 조건부대치
- 해당칼럼의 대치 : 해당칼럼의 na제외 평균값을 구해서 대치할거면 : mean( 칼럼인덱싱, na.rm=T)로 쉽게할 있다.
- 조건부 대치 : na.rm=T옵션으로 바로 못구하고, 행인덱싱자리에 !is.na() 과 함께 & 특정범주의 조건을 준다.
- mice로 다중대치하기
# 1. 전체삭제 : 한 칼럼에서라도 na가 존재하면 다 삭제
# 1_1. na.omit(data)
na.omit(acs)
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168.0 72.0
## 4 89 Female No Femoral STEMI 21.8 165.0 50.0
## 5 56 Male No Radial NSTEMI 21.8 162.0 64.0
## 6 73 Female No Radial Unstable Angina 22.0 153.0 59.0
## 7 58 Male No Radial Unstable Angina 24.7 167.0 78.0
## 8 62 Male No Femoral STEMI 26.6 160.0 50.0
## 9 59 Female No Radial Unstable Angina 28.5 152.0 67.0
## 10 71 Male No Femoral STEMI 31.1 168.0 60.0
## 11 52 Male No Radial Unstable Angina 31.1 175.0 60.0
## 12 52 Female No Radial Unstable Angina 31.1 156.0 63.0
## 13 66 Male No Femoral Unstable Angina 31.5 164.0 64.0
## 14 64 Female No Femoral STEMI 31.9 150.0 51.0
## 15 62 Female No Femoral STEMI 32.0 158.0 49.0
## 17 65 Male No Radial Unstable Angina 32.0 152.0 54.0
## 19 63 Male Yes Radial STEMI 33.3 175.0 71.0
## 20 30 Male No Femoral STEMI 34.0 148.0 80.0
## 21 60 Male No Radial Unstable Angina 34.3 173.0 68.0
## 22 81 Male No Femoral NSTEMI 34.4 162.0 51.0
## 23 49 Male No Femoral Unstable Angina 34.4 165.0 67.0
## 24 72 Female No Femoral STEMI 34.5 145.0 50.0
## 25 63 Male Yes Femoral STEMI 34.6 170.0 70.0
## 26 72 Female No Femoral Unstable Angina 34.6 155.0 45.0
## 27 64 Male Yes Radial STEMI 35.0 165.0 63.0
## 28 64 Male No Femoral STEMI 35.4 167.0 65.0
## 30 47 Male Yes Femoral STEMI 35.5 179.0 68.0
## 31 46 Female No Femoral STEMI 35.6 155.0 48.0
## 32 55 Male Yes Femoral NSTEMI 35.7 165.0 63.0
## 33 73 Male No Radial NSTEMI 35.9 160.0 70.0
## 34 59 Male No Radial NSTEMI 36.5 175.0 62.0
## 35 79 Female No Radial Unstable Angina 36.5 140.0 50.0
## 36 80 Male No Radial STEMI 36.6 162.0 54.0
## 37 76 Female No Radial NSTEMI 36.8 153.0 50.0
## 38 73 Male No Femoral NSTEMI 37.0 162.0 53.0
## 39 61 Female No Femoral Unstable Angina 37.0 156.0 44.0
## 40 58 Male Yes Radial STEMI 37.3 168.0 74.0
## 41 58 Male No Femoral STEMI 37.5 165.0 85.0
## 42 72 Female No Radial NSTEMI 37.5 150.0 70.0
## 43 57 Male No Femoral NSTEMI 37.9 168.0 70.0
## 44 66 Male No Radial Unstable Angina 38.0 165.0 69.0
## 45 71 Male No Radial Unstable Angina 38.0 170.0 69.0
## 46 65 Female No Femoral STEMI 38.4 162.0 67.0
## 47 53 Male No Radial Unstable Angina 38.4 163.0 68.0
## 48 61 Female No Femoral NSTEMI 38.5 148.0 64.0
## 49 77 Male No Radial STEMI 38.8 160.0 54.0
## 50 82 Male No Femoral STEMI 39.0 164.0 50.0
## 51 65 Male Yes Radial STEMI 39.0 163.0 58.0
## 52 61 Male No Femoral STEMI 39.4 168.0 56.0
## 53 39 Male No Radial STEMI 40.0 169.0 93.0
## 54 49 Male No Radial STEMI 40.0 178.0 80.0
## 55 67 Male No Femoral NSTEMI 40.0 165.0 62.0
## 56 76 Male No Radial STEMI 40.2 165.0 75.0
## 57 79 Female No Radial NSTEMI 40.2 155.0 60.0
## 58 63 Male No Radial Unstable Angina 40.2 168.0 62.0
## 59 74 Female Yes Femoral STEMI 40.4 150.0 55.0
## 60 67 Male No Femoral STEMI 40.5 165.0 75.0
## 61 57 Male No Femoral STEMI 40.6 167.0 58.0
## 62 59 Male No Radial STEMI 40.9 172.0 65.0
## 63 76 Male No Radial STEMI 41.0 158.0 67.0
## 64 55 Male No Radial STEMI 41.3 170.0 75.0
## 65 80 Female No Femoral STEMI 41.5 157.0 48.0
## 66 88 Female No Radial NSTEMI 41.7 155.0 53.0
## 67 75 Female No Femoral STEMI 41.8 160.0 70.0
## 68 72 Male No Radial STEMI 42.0 168.0 64.0
## 69 52 Male No Femoral Unstable Angina 42.0 170.0 78.0
## 70 49 Male No Radial STEMI 42.1 167.0 69.0
## 71 78 Male No Femoral NSTEMI 42.1 158.0 50.0
## 73 67 Female No Radial NSTEMI 42.2 153.0 43.0
## 74 54 Male No Radial NSTEMI 42.4 168.0 63.0
## 75 76 Female No Radial NSTEMI 42.5 163.0 55.0
## 76 52 Male No Radial STEMI 42.5 160.0 55.0
## 77 65 Male No Femoral STEMI 42.6 168.0 59.0
## 78 64 Male No Radial STEMI 42.7 164.0 65.0
## 79 85 Male No Femoral NSTEMI 42.7 165.0 60.0
## 80 75 Female No Radial STEMI 42.8 156.0 46.0
## 81 78 Female No Radial STEMI 42.9 158.0 57.0
## 82 81 Male No Femoral Unstable Angina 43.0 166.0 59.0
## 83 74 Female No Radial Unstable Angina 43.0 150.0 51.0
## 84 58 Male Yes Femoral STEMI 43.2 178.0 80.0
## 85 63 Female No Femoral STEMI 43.2 149.0 40.0
## 86 72 Female No Femoral Unstable Angina 43.2 160.0 62.0
## 88 77 Male No Radial NSTEMI 44.0 168.0 65.0
## 90 53 Male No Radial STEMI 44.0 168.0 75.0
## 91 63 Female No Radial STEMI 44.0 150.0 55.0
## 92 54 Male No Radial STEMI 44.1 176.0 78.0
## 93 79 Female No Radial NSTEMI 44.1 160.0 65.0
## 94 50 Male No Radial STEMI 44.2 175.0 70.0
## 95 75 Male No Radial NSTEMI 44.3 168.0 60.0
## 96 57 Male No Radial STEMI 44.5 177.0 72.0
## 97 69 Male No Femoral NSTEMI 44.6 163.0 56.0
## 98 55 Male No Radial Unstable Angina 44.8 162.0 58.0
## 99 79 Male No Femoral NSTEMI 44.9 172.0 60.0
## 100 70 Male No Femoral STEMI 45.0 165.0 60.0
## 101 73 Male No Femoral STEMI 45.0 168.0 47.0
## 103 82 Female No Radial Unstable Angina 45.0 150.0 55.0
## 104 44 Male No Femoral Unstable Angina 45.1 180.0 80.0
## 105 61 Male No Femoral STEMI 45.3 162.0 58.0
## 106 80 Female No Femoral STEMI 45.4 150.0 65.0
## 107 70 Female No Radial STEMI 45.4 160.0 60.0
## 109 65 Male No Radial STEMI 45.6 167.0 62.0
## 110 68 Male No Femoral NSTEMI 45.6 177.0 79.0
## 111 70 Male No Radial NSTEMI 45.7 151.0 50.0
## 112 65 Male No Radial Unstable Angina 45.8 162.0 65.0
## 113 51 Male No Radial Unstable Angina 45.9 165.0 59.0
## 114 66 Male Yes Femoral STEMI 46.0 168.0 58.0
## 116 56 Male No Radial STEMI 46.1 167.0 74.0
## 118 78 Female No Femoral NSTEMI 46.4 157.0 60.0
## 119 49 Male No Radial NSTEMI 46.5 162.0 66.0
## 120 84 Female No Radial Unstable Angina 46.6 160.0 60.0
## 121 81 Male No Femoral NSTEMI 46.8 165.0 65.0
## 122 53 Male No Femoral NSTEMI 46.9 165.0 71.0
## 123 77 Male No Radial STEMI 47.0 155.0 60.0
## 124 81 Male No Radial STEMI 47.0 166.0 68.0
## 125 69 Male No Radial STEMI 47.0 175.0 60.0
## 126 48 Female Yes Femoral STEMI 47.0 160.0 60.0
## 127 76 Male No Radial Unstable Angina 47.0 163.0 62.0
## 128 41 Male No Radial STEMI 47.1 170.0 73.0
## 129 68 Male No Radial STEMI 47.2 170.0 60.0
## 130 55 Male No Radial STEMI 47.2 163.0 56.0
## 131 80 Female No Radial NSTEMI 47.3 156.5 67.2
## 132 81 Male No Radial Unstable Angina 47.3 150.0 50.0
## 133 80 Female No Radial STEMI 47.3 156.0 67.2
## 134 61 Male No Radial STEMI 47.4 179.0 76.0
## 135 66 Male No Femoral NSTEMI 47.6 158.0 50.0
## 137 64 Male No Femoral STEMI 47.8 174.0 70.0
## 138 62 Male No Radial STEMI 48.0 167.0 85.0
## 139 72 Female No Femoral STEMI 48.1 163.0 55.0
## 140 72 Female No Femoral STEMI 48.1 160.0 58.0
## 141 74 Female No Femoral NSTEMI 48.1 155.0 56.0
## 142 53 Female No Radial NSTEMI 48.1 160.0 63.0
## 143 51 Male No Radial STEMI 48.2 178.0 70.0
## 144 47 Male No Radial STEMI 48.2 175.0 80.0
## 145 69 Female No Radial NSTEMI 48.2 155.0 55.0
## 146 48 Male No Radial STEMI 48.3 170.0 68.0
## 147 58 Male No Radial NSTEMI 48.3 168.0 76.0
## 148 74 Male No Femoral NSTEMI 48.6 169.0 72.0
## 149 75 Male No Radial NSTEMI 48.6 160.0 58.0
## 150 58 Male No Radial STEMI 48.7 168.0 60.0
## 151 64 Male No Femoral STEMI 48.8 162.0 72.0
## 152 70 Male No Radial STEMI 48.8 176.0 77.0
## 153 69 Female No Radial STEMI 48.9 153.0 63.0
## 154 61 Male No Radial STEMI 48.9 167.0 60.0
## 155 38 Male No Radial Unstable Angina 48.9 166.0 95.0
## 156 44 Male No Radial STEMI 49.0 179.0 93.0
## 157 57 Male No Femoral STEMI 49.0 163.0 63.0
## 158 56 Male No Radial STEMI 49.0 170.0 68.0
## 159 80 Male No Radial NSTEMI 49.0 170.0 62.0
## 160 85 Female No Radial Unstable Angina 49.1 149.0 51.0
## 161 56 Female No Femoral NSTEMI 49.1 155.0 58.0
## 163 84 Female No Radial NSTEMI 49.2 155.0 53.0
## 164 55 Male No Femoral STEMI 49.3 168.0 48.0
## 165 55 Male Yes Femoral STEMI 49.3 168.0 48.0
## 166 54 Male No Radial STEMI 49.5 170.0 78.0
## 167 78 Female No Femoral STEMI 49.5 150.0 42.0
## 168 82 Female No Femoral STEMI 49.7 150.0 42.0
## 169 66 Male No Femoral STEMI 49.7 180.0 67.0
## 170 71 Male No Femoral NSTEMI 49.9 155.0 66.0
## 171 52 Male No Radial STEMI 50.0 173.0 70.0
## 172 57 Male No Femoral NSTEMI 50.0 175.0 84.0
## 173 82 Male No Femoral NSTEMI 50.0 165.0 61.0
## 174 76 Male No Femoral Unstable Angina 50.0 160.0 56.0
## 175 49 Male No Femoral STEMI 50.1 164.0 65.0
## 176 62 Female No Radial NSTEMI 50.1 150.0 46.0
## 177 57 Male No Radial STEMI 50.3 165.0 68.0
## 178 57 Male No Radial NSTEMI 50.3 174.0 67.0
## 179 81 Female No Radial STEMI 50.4 164.0 50.0
## 180 53 Male No Radial STEMI 50.4 176.0 74.0
## 181 72 Male Yes Femoral STEMI 50.5 173.0 74.0
## 182 78 Male No Radial Unstable Angina 50.5 170.0 60.0
## 183 53 Male No Radial Unstable Angina 50.6 157.0 80.0
## 184 63 Female No Radial STEMI 50.8 151.0 52.0
## 185 74 Female Yes Radial STEMI 51.0 149.0 50.0
## 186 54 Male No Radial STEMI 51.0 163.0 72.0
## 187 81 Female No Radial STEMI 51.2 150.0 45.0
## 188 63 Female No Femoral STEMI 51.3 156.0 61.0
## 189 81 Female No Radial Unstable Angina 51.3 145.0 45.0
## 191 69 Female No Femoral STEMI 51.5 158.0 55.0
## 192 58 Male No Femoral STEMI 51.6 170.0 60.0
## 193 70 Female No Femoral Unstable Angina 51.6 150.0 45.0
## 194 56 Male No Femoral STEMI 51.7 172.0 80.0
## 195 63 Male No Femoral STEMI 51.7 165.0 60.0
## 196 54 Female No Radial NSTEMI 51.7 154.0 66.0
## 197 77 Male No Radial Unstable Angina 51.9 165.0 60.0
## 198 55 Male No Radial STEMI 52.0 164.0 60.0
## 199 48 Male No Radial STEMI 52.0 165.0 75.0
## 200 62 Male No Radial STEMI 52.0 170.0 62.0
## 201 65 Male Yes Radial STEMI 52.0 160.0 65.0
## 202 77 Male No Femoral STEMI 52.0 172.0 53.0
## 203 54 Male No Radial STEMI 52.0 175.0 80.0
## 204 38 Male No Radial STEMI 52.1 174.0 90.0
## 205 70 Female No Radial Unstable Angina 52.2 141.0 63.0
## 206 49 Male No Radial STEMI 52.4 177.0 86.0
## 207 69 Female No Radial Unstable Angina 52.4 155.0 60.0
## 208 67 Male No Radial Unstable Angina 52.4 160.0 50.0
## 209 36 Male No Femoral STEMI 52.5 184.0 76.0
## 210 70 Male Yes Radial STEMI 52.6 165.0 60.0
## 211 62 Male No Radial STEMI 52.6 161.0 58.0
## 212 56 Male No Radial STEMI 52.8 165.0 73.0
## 213 51 Male No Femoral STEMI 52.8 176.0 72.0
## 214 64 Female No Femoral NSTEMI 52.9 155.0 58.0
## 215 75 Male No Radial STEMI 53.0 170.0 55.0
## 216 41 Male No Radial Unstable Angina 53.0 171.0 86.0
## 217 53 Male No Radial STEMI 53.0 165.0 70.0
## 218 78 Female No Femoral STEMI 53.0 160.0 70.0
## 219 51 Female No Radial Unstable Angina 53.0 160.0 63.0
## 221 66 Male No Femoral Unstable Angina 53.2 164.0 54.0
## 222 68 Male No Femoral STEMI 53.5 160.0 59.0
## 223 61 Male No Femoral STEMI 53.6 158.0 65.0
## 224 59 Male No Radial NSTEMI 53.6 165.0 68.0
## 225 77 Female No Radial NSTEMI 53.7 155.0 55.0
## 226 49 Female No Radial STEMI 53.8 156.0 46.0
## 227 57 Male No Femoral Unstable Angina 53.8 169.0 55.0
## 228 52 Male No Radial STEMI 54.0 165.0 70.0
## 229 77 Female No Femoral STEMI 54.0 160.0 58.0
## 230 56 Male No Radial STEMI 54.0 169.0 70.0
## 231 46 Female No Radial STEMI 54.0 158.0 57.0
## 232 71 Female No Femoral Unstable Angina 54.0 140.0 47.0
## 233 62 Female No Femoral Unstable Angina 54.0 161.0 66.0
## 234 41 Male No Radial STEMI 54.2 178.0 72.0
## 236 56 Male No Radial NSTEMI 54.2 170.0 71.0
## 237 70 Female No Radial Unstable Angina 54.3 155.0 60.0
## 238 67 Female No Radial STEMI 54.5 155.0 66.0
## 239 70 Female No Radial Unstable Angina 54.6 145.0 45.0
## 240 78 Male No Femoral Unstable Angina 54.6 175.0 74.0
## 241 87 Male No Radial Unstable Angina 54.7 165.0 62.0
## 242 81 Female No Radial STEMI 54.8 160.0 58.0
## 244 56 Male No Radial NSTEMI 54.8 170.0 76.0
## 245 78 Female No Femoral Unstable Angina 54.8 151.0 60.0
## 246 47 Male No Femoral STEMI 54.9 178.0 68.0
## 247 60 Male No Radial STEMI 54.9 183.0 83.0
## 248 69 Male No Femoral Unstable Angina 54.9 164.0 87.0
## 249 61 Male No Radial STEMI 55.0 160.0 65.0
## 250 52 Male No Radial STEMI 55.0 177.0 85.0
## 251 61 Male No Femoral STEMI 55.0 170.0 74.0
## 252 58 Male No Femoral STEMI 55.0 168.0 61.0
## 253 51 Male No Femoral NSTEMI 55.0 160.0 81.0
## 254 58 Male No Radial NSTEMI 55.0 174.0 74.0
## 255 35 Male No Radial Unstable Angina 55.0 170.0 87.0
## 256 71 Male No Radial STEMI 55.1 166.0 60.0
## 257 46 Male No Radial NSTEMI 55.1 165.0 63.0
## 258 40 Male No Femoral Unstable Angina 55.1 175.0 80.0
## 259 57 Male No Radial Unstable Angina 55.1 160.0 70.0
## 260 70 Male No Radial Unstable Angina 55.1 169.0 78.0
## 261 71 Male No Radial STEMI 55.2 165.0 50.0
## 262 45 Female No Femoral Unstable Angina 55.2 150.0 45.0
## 263 43 Male No Radial NSTEMI 55.3 180.0 78.0
## 264 41 Male No Femoral STEMI 55.4 170.0 69.0
## 265 57 Male No Radial Unstable Angina 55.4 153.0 53.0
## 266 74 Male No Femoral Unstable Angina 55.4 165.0 68.0
## 267 60 Male No Radial STEMI 55.5 172.0 85.0
## 268 57 Male No Femoral NSTEMI 55.5 169.0 68.0
## 269 51 Male No Femoral NSTEMI 55.5 178.0 85.0
## 270 37 Male No Femoral STEMI 55.6 174.0 75.0
## 271 90 Female No Radial Unstable Angina 55.6 141.0 52.0
## 272 76 Male Yes Femoral STEMI 55.7 172.0 82.0
## 273 58 Male Yes Radial STEMI 55.7 162.0 60.0
## 274 69 Female No Femoral STEMI 55.7 150.0 65.0
## 275 70 Female No Radial STEMI 55.7 160.0 58.0
## 276 50 Male No Femoral NSTEMI 55.7 170.0 72.0
## 277 74 Male No Radial NSTEMI 55.8 168.0 73.0
## 278 73 Male No Radial Unstable Angina 55.8 175.0 84.0
## 280 60 Male No Radial STEMI 55.9 160.0 50.0
## 281 60 Male No Radial STEMI 55.9 173.0 67.0
## 282 85 Female No Radial STEMI 55.9 154.0 55.0
## 284 72 Male No Radial Unstable Angina 56.0 178.0 70.0
## 285 70 Male No Radial STEMI 56.0 165.0 74.0
## 286 49 Male No Radial Unstable Angina 56.0 177.0 82.0
## 287 70 Male No Radial Unstable Angina 56.0 166.0 67.0
## 288 49 Male No Radial Unstable Angina 56.0 177.0 82.0
## 289 53 Male No Radial Unstable Angina 56.0 174.0 67.0
## 290 74 Female No Femoral Unstable Angina 56.0 150.0 57.0
## 291 49 Male No Femoral NSTEMI 56.0 172.0 74.0
## 292 43 Male No Radial STEMI 56.1 183.0 81.0
## 293 43 Male No Femoral STEMI 56.1 173.0 93.0
## 294 68 Male No Radial Unstable Angina 56.1 162.5 53.3
## 295 68 Male No Radial Unstable Angina 56.1 162.5 53.3
## 296 78 Male No Femoral NSTEMI 56.1 160.0 70.0
## 297 35 Male No Radial STEMI 56.2 171.0 70.0
## 298 52 Male No Femoral Unstable Angina 56.2 170.0 62.0
## 299 58 Male No Femoral Unstable Angina 56.2 165.0 78.0
## 300 67 Male No Radial Unstable Angina 56.2 170.0 62.0
## 301 76 Female No Femoral Unstable Angina 56.2 143.0 48.0
## 302 56 Male No Radial NSTEMI 56.3 163.0 62.0
## 303 55 Male No Radial STEMI 56.3 178.0 81.0
## 304 72 Male No Radial STEMI 56.3 165.0 64.0
## 305 46 Male No Radial NSTEMI 56.3 169.0 55.0
## 306 78 Female No Radial NSTEMI 56.4 149.0 50.0
## 307 58 Male No Femoral STEMI 56.4 160.0 67.0
## 308 58 Male No Femoral Unstable Angina 56.4 174.0 70.0
## 309 62 Male No Radial Unstable Angina 56.4 160.0 60.0
## 310 83 Female No Femoral STEMI 56.5 160.0 65.0
## 311 62 Male No Radial STEMI 56.5 165.0 75.0
## 312 65 Female No Radial STEMI 56.5 158.0 59.0
## 313 50 Male No Radial Unstable Angina 56.5 174.0 78.0
## 314 61 Male No Radial Unstable Angina 56.5 130.0 70.0
## 315 86 Female No Radial Unstable Angina 56.5 155.0 58.0
## 316 52 Male No Radial Unstable Angina 56.5 168.0 79.0
## 317 65 Male No Radial Unstable Angina 56.5 169.0 63.0
## 318 68 Male No Radial Unstable Angina 56.5 164.0 63.0
## 319 46 Male No Radial Unstable Angina 56.6 165.0 71.0
## 320 61 Male No Femoral STEMI 56.6 158.0 50.0
## 321 57 Male No Femoral STEMI 56.7 170.0 89.0
## 322 40 Male No Radial STEMI 56.7 173.0 76.0
## 323 69 Female No Femoral NSTEMI 56.7 158.0 80.0
## 324 71 Female No Radial STEMI 56.8 144.0 45.0
## 325 63 Male No Radial Unstable Angina 56.8 175.0 81.0
## 326 52 Male No Femoral STEMI 56.9 175.0 83.0
## 327 41 Male No Radial Unstable Angina 56.9 178.0 87.0
## 328 55 Male No Femoral STEMI 57.0 175.0 68.0
## 330 77 Male No Femoral Unstable Angina 57.1 168.0 63.0
## 331 67 Female No Radial Unstable Angina 57.2 168.0 52.0
## 332 65 Male No Femoral Unstable Angina 57.2 160.0 63.0
## 333 73 Male No Radial Unstable Angina 57.2 160.0 59.0
## 334 72 Male No Femoral Unstable Angina 57.3 161.0 63.0
## 335 61 Male No Femoral Unstable Angina 57.3 169.0 61.0
## 336 70 Female No Femoral Unstable Angina 57.3 145.0 45.0
## 337 59 Male No Radial Unstable Angina 57.3 159.0 57.0
## 338 59 Male No Radial Unstable Angina 57.3 160.0 70.0
## 339 47 Male No Radial STEMI 57.4 170.0 70.0
## 340 64 Male No Radial STEMI 57.4 168.0 57.0
## 341 44 Male No Femoral STEMI 57.4 180.0 97.0
## 342 53 Female No Radial Unstable Angina 57.4 151.0 58.0
## 343 69 Male No Femoral Unstable Angina 57.6 159.0 66.0
## 344 58 Male No Femoral Unstable Angina 57.6 162.0 73.0
## 345 64 Female No Radial Unstable Angina 57.7 165.0 74.0
## 346 77 Female No Femoral Unstable Angina 57.8 158.0 60.0
## 347 48 Male No Radial Unstable Angina 57.9 171.0 77.0
## 348 62 Male No Radial STEMI 57.9 168.0 73.0
## 349 66 Male No Radial STEMI 58.0 175.0 82.0
## 351 69 Male No Femoral STEMI 58.0 163.0 65.0
## 352 68 Male No Radial STEMI 58.0 165.0 63.0
## 353 41 Male No Radial Unstable Angina 58.0 169.0 70.0
## 354 68 Female No Femoral NSTEMI 58.0 155.0 51.0
## 355 75 Male No Radial NSTEMI 58.0 177.0 73.0
## 356 73 Male No Radial NSTEMI 58.0 165.0 60.0
## 357 56 Male No Radial STEMI 58.1 168.0 65.0
## 358 46 Male Yes Femoral STEMI 58.1 170.0 76.0
## 359 55 Male No Radial STEMI 58.1 163.0 68.0
## 360 61 Male No Femoral STEMI 58.1 168.0 74.0
## 361 68 Female No Radial Unstable Angina 58.1 158.0 60.0
## 362 55 Male No Femoral Unstable Angina 58.1 170.0 70.0
## 363 57 Female No Femoral STEMI 58.2 164.0 68.0
## 364 50 Male No Radial Unstable Angina 58.2 165.0 78.0
## 365 69 Male No Radial Unstable Angina 58.2 173.0 74.0
## 366 44 Male No Radial STEMI 58.3 175.0 90.0
## 367 38 Male No Radial STEMI 58.3 173.0 95.0
## 368 83 Male No Radial STEMI 58.3 165.0 67.0
## 369 70 Male No Radial STEMI 58.3 168.0 70.0
## 370 76 Female No Femoral STEMI 58.4 145.0 56.0
## 371 53 Female No Radial Unstable Angina 58.4 165.0 75.0
## 372 37 Male No Radial NSTEMI 58.4 163.0 66.0
## 373 49 Male No Radial NSTEMI 58.4 158.0 56.0
## 374 57 Male No Radial STEMI 58.5 170.0 75.0
## 375 51 Male No Radial NSTEMI 58.5 169.0 68.0
## 376 64 Male No Radial STEMI 58.6 157.0 64.0
## 377 53 Male No Radial STEMI 58.6 168.0 62.0
## 378 77 Male No Femoral Unstable Angina 58.6 160.0 59.0
## 379 46 Female No Femoral NSTEMI 58.6 155.0 55.0
## 380 65 Female No Radial STEMI 58.7 160.0 67.0
## 381 65 Female No Radial STEMI 58.7 160.0 67.0
## 382 77 Female No Femoral STEMI 58.7 150.0 50.0
## 384 67 Female No Radial Unstable Angina 58.7 150.0 50.0
## 385 37 Male No Radial STEMI 58.8 170.0 106.0
## 386 73 Male No Radial STEMI 58.8 160.0 45.0
## 387 51 Male No Radial NSTEMI 58.8 175.0 69.0
## 388 61 Male No Radial NSTEMI 58.8 164.0 78.0
## 389 71 Male No Femoral NSTEMI 58.8 168.0 70.0
## 390 81 Female No Radial STEMI 58.9 148.0 45.0
## 391 58 Male No Femoral STEMI 58.9 170.0 65.0
## 392 71 Male No Radial Unstable Angina 58.9 172.0 80.0
## 394 64 Female No Radial STEMI 59.0 165.0 71.0
## 395 59 Female No Radial STEMI 59.0 158.0 60.0
## 396 51 Male No Femoral STEMI 59.0 170.0 60.0
## 397 86 Male No Femoral STEMI 59.0 165.0 55.0
## 398 60 Male No Radial Unstable Angina 59.0 163.0 62.0
## 399 60 Female No Femoral Unstable Angina 59.0 151.0 66.0
## 400 71 Female No Femoral Unstable Angina 59.0 154.0 52.0
## 401 56 Male No Radial Unstable Angina 59.0 160.0 62.0
## 402 42 Male No Radial NSTEMI 59.1 172.0 73.0
## 403 68 Male No Femoral Unstable Angina 59.1 177.0 78.0
## 404 46 Female No Radial Unstable Angina 59.1 150.0 60.0
## 406 72 Male No Femoral Unstable Angina 59.1 170.0 56.0
## 407 66 Male No Femoral STEMI 59.2 170.0 65.0
## 408 81 Male No Radial Unstable Angina 59.2 167.0 50.0
## 409 60 Female No Femoral Unstable Angina 59.2 159.0 85.0
## 410 52 Male No Radial STEMI 59.3 163.0 70.0
## 411 75 Female No Radial Unstable Angina 59.3 155.0 55.0
## 412 48 Female No Radial NSTEMI 59.3 158.0 53.0
## 414 78 Female No Radial Unstable Angina 59.3 155.0 57.0
## 415 79 Male No Femoral STEMI 59.4 168.0 60.0
## 416 58 Male No Radial Unstable Angina 59.4 160.0 69.0
## 417 60 Male No Radial Unstable Angina 59.4 174.0 80.0
## 418 64 Male No Radial NSTEMI 59.4 167.0 62.0
## 419 57 Male No Radial NSTEMI 59.4 168.0 73.0
## 420 60 Male No Radial NSTEMI 59.4 167.0 66.0
## 421 72 Male No Radial Unstable Angina 59.5 165.0 78.0
## 422 57 Male No Femoral Unstable Angina 59.5 169.0 75.0
## 423 79 Female No Femoral Unstable Angina 59.5 150.0 55.0
## 424 59 Male No Radial Unstable Angina 59.5 174.0 78.0
## 425 65 Male No Radial Unstable Angina 59.5 167.0 74.0
## 426 61 Male No Radial Unstable Angina 59.5 167.0 68.0
## 427 75 Female No Radial Unstable Angina 59.5 152.0 61.0
## 428 55 Male No Radial NSTEMI 59.6 165.0 52.0
## 429 50 Male No Femoral Unstable Angina 59.6 160.0 67.0
## 431 81 Female No Radial Unstable Angina 59.6 150.0 49.0
## 432 52 Male No Radial Unstable Angina 59.6 163.0 65.0
## 433 55 Male No Radial NSTEMI 59.7 166.0 65.0
## 434 59 Male No Femoral Unstable Angina 59.7 161.0 68.0
## 435 54 Female No Radial Unstable Angina 59.7 154.0 65.0
## 436 72 Male No Radial Unstable Angina 59.7 162.0 64.0
## 437 56 Male No Radial STEMI 59.8 170.0 80.0
## 438 65 Female No Femoral STEMI 59.8 145.0 45.0
## 440 49 Male No Radial Unstable Angina 59.8 180.0 97.0
## 441 51 Male No Femoral NSTEMI 59.8 172.0 70.0
## 442 48 Male Yes Femoral STEMI 59.9 173.0 67.0
## 443 56 Female No Radial Unstable Angina 59.9 159.0 65.0
## 444 65 Male No Femoral Unstable Angina 59.9 168.0 65.0
## 445 68 Male No Radial STEMI 60.0 175.0 75.0
## 446 73 Female No Femoral STEMI 60.0 150.0 44.0
## 447 68 Female No Radial STEMI 60.0 158.0 76.0
## 448 64 Male Yes Radial STEMI 60.0 165.0 63.0
## 449 71 Female No Radial Unstable Angina 60.0 145.0 50.0
## 450 53 Male No Femoral Unstable Angina 60.0 173.0 71.0
## 451 74 Female No Radial Unstable Angina 60.0 140.0 45.0
## 452 58 Male No Radial NSTEMI 60.0 170.0 75.0
## 453 55 Male No Radial Unstable Angina 60.0 167.0 62.0
## 455 48 Male No Femoral STEMI 60.1 164.0 72.0
## 456 75 Male No Radial Unstable Angina 60.1 163.0 50.0
## 457 28 Male No Radial NSTEMI 60.1 168.0 52.0
## 458 62 Female No Radial Unstable Angina 60.1 155.0 60.0
## 459 62 Male No Femoral STEMI 60.2 160.0 50.0
## 460 79 Female Yes Radial STEMI 60.2 155.0 60.0
## 461 53 Male No Radial Unstable Angina 60.2 162.0 68.0
## 462 67 Male No Radial Unstable Angina 60.2 163.0 60.0
## 463 68 Male No Radial Unstable Angina 60.2 173.0 75.0
## 464 70 Female No Radial Unstable Angina 60.2 152.0 56.0
## 465 54 Male No Radial Unstable Angina 60.2 162.0 67.0
## 466 76 Female No Radial Unstable Angina 60.4 155.0 55.0
## 467 47 Male No Radial NSTEMI 60.4 175.0 76.0
## 468 56 Male No Radial NSTEMI 60.5 172.0 61.0
## 469 70 Male No Femoral Unstable Angina 60.5 168.0 65.0
## 470 68 Female No Radial STEMI 60.6 164.0 75.0
## 471 79 Female No Radial Unstable Angina 60.6 148.0 40.0
## 472 47 Male No Femoral NSTEMI 60.6 170.0 78.0
## 473 62 Male Yes Femoral STEMI 60.7 171.0 48.0
## 474 66 Male No Radial Unstable Angina 60.7 169.0 63.0
## 475 48 Male No Radial Unstable Angina 60.7 171.0 62.0
## 476 73 Male No Radial Unstable Angina 60.8 170.0 70.0
## 477 81 Male Yes Radial STEMI 61.0 170.0 77.0
## 478 77 Male No Radial STEMI 61.0 167.0 66.0
## 479 73 Female No Femoral STEMI 61.0 160.0 60.0
## 480 49 Female No Femoral STEMI 61.0 157.0 55.0
## 481 68 Male No Femoral STEMI 61.0 170.0 75.0
## 482 36 Male No Femoral STEMI 61.0 178.0 68.0
## 483 65 Female No Radial Unstable Angina 61.0 164.0 62.0
## 484 75 Male No Radial Unstable Angina 61.0 165.0 72.0
## 485 50 Male No Radial Unstable Angina 61.0 170.0 60.0
## 486 75 Male No Radial Unstable Angina 61.0 165.0 72.0
## 487 73 Female No Femoral Unstable Angina 61.0 152.0 57.0
## 490 43 Female No Radial Unstable Angina 61.0 164.0 56.0
## 491 57 Male No Radial Unstable Angina 61.0 168.0 72.0
## 492 55 Male No Radial Unstable Angina 61.0 168.0 82.0
## 493 81 Male No Radial STEMI 61.0 170.0 77.0
## 494 55 Male No Femoral STEMI 61.1 176.0 90.0
## 495 59 Male No Radial Unstable Angina 61.2 175.0 78.0
## 496 79 Female No Radial Unstable Angina 61.2 140.0 45.0
## 497 58 Male No Radial Unstable Angina 61.2 166.0 63.0
## 498 63 Female No Femoral NSTEMI 61.3 153.0 90.0
## 499 58 Male Yes Radial STEMI 61.3 161.0 66.0
## 500 63 Female Yes Femoral STEMI 61.3 159.0 63.0
## 501 52 Male No Radial STEMI 61.3 163.0 64.0
## 502 64 Female No Radial Unstable Angina 61.3 155.0 46.0
## 503 62 Male No Radial NSTEMI 61.3 165.0 72.0
## 504 67 Male No Radial STEMI 61.4 163.0 66.0
## 505 65 Male No Radial NSTEMI 61.4 173.0 67.0
## 506 51 Male No Femoral Unstable Angina 61.4 173.0 79.0
## 507 48 Female No Radial STEMI 61.5 165.0 58.0
## 510 78 Male No Femoral NSTEMI 61.5 178.0 73.0
## 511 75 Male No Radial STEMI 61.6 162.0 45.0
## 512 61 Female No Radial STEMI 61.6 155.0 75.0
## 513 45 Male No Radial STEMI 61.6 166.0 70.0
## 514 55 Female No Femoral NSTEMI 61.6 153.0 62.0
## 515 42 Male No Radial NSTEMI 61.6 163.0 71.0
## 516 82 Female No Femoral NSTEMI 61.7 150.0 50.0
## 517 53 Male No Radial NSTEMI 61.7 164.0 70.0
## 518 49 Female No Radial Unstable Angina 61.7 162.0 67.0
## 519 75 Female No Radial STEMI 61.8 157.0 61.0
## 520 79 Female No Femoral NSTEMI 61.8 140.0 66.0
## 521 47 Female No Radial STEMI 61.8 153.0 70.0
## 522 83 Female No Radial NSTEMI 61.8 149.0 49.0
## 523 78 Male No Radial NSTEMI 61.8 165.0 70.0
## 524 82 Female No Femoral NSTEMI 61.8 158.0 65.0
## 525 80 Female No Femoral STEMI 61.9 156.0 57.0
## 526 80 Female No Femoral STEMI 61.9 156.0 57.0
## 527 58 Male No Radial NSTEMI 61.9 177.0 79.0
## 528 69 Female No Femoral NSTEMI 61.9 158.0 64.0
## 529 67 Male No Radial STEMI 62.0 165.0 56.0
## 530 51 Male No Radial STEMI 62.0 170.0 95.0
## 531 62 Male No Radial STEMI 62.0 170.0 80.0
## 533 59 Male No Radial NSTEMI 62.0 168.0 75.0
## 534 44 Female No Radial Unstable Angina 62.0 150.0 51.0
## 535 56 Male No Radial Unstable Angina 62.0 170.0 75.0
## 536 49 Male No Radial Unstable Angina 62.0 172.0 68.0
## 537 59 Male No Radial NSTEMI 62.2 172.0 86.0
## 538 48 Female No Radial Unstable Angina 62.2 153.0 51.0
## 539 47 Female No Radial Unstable Angina 62.2 160.0 58.0
## 540 56 Male No Radial Unstable Angina 62.2 174.0 83.0
## 541 81 Male No Radial STEMI 62.3 172.0 55.0
## 542 51 Female No Femoral STEMI 62.4 161.0 63.0
## 543 85 Female No Radial Unstable Angina 62.4 130.0 30.0
## 544 74 Male No Radial Unstable Angina 62.4 163.0 71.0
## 545 50 Female No Radial Unstable Angina 62.4 152.0 60.0
## 546 56 Female No Femoral Unstable Angina 62.5 157.0 58.0
## 547 64 Male No Radial Unstable Angina 62.6 162.0 80.0
## 548 55 Female No Femoral Unstable Angina 62.6 154.0 72.0
## 549 50 Male No Radial NSTEMI 62.6 168.0 63.0
## 550 84 Male No Femoral STEMI 62.7 168.0 79.0
## 551 64 Male No Radial Unstable Angina 62.7 163.0 62.0
## 552 70 Male No Radial NSTEMI 62.7 165.0 65.0
## 553 68 Female No Radial Unstable Angina 62.7 148.0 52.0
## 554 48 Male No Radial Unstable Angina 62.8 164.0 60.0
## 555 61 Male No Radial Unstable Angina 62.8 165.0 67.0
## 556 49 Female No Femoral Unstable Angina 62.8 150.0 48.0
## 557 55 Male No Femoral NSTEMI 62.9 164.0 73.0
## 559 78 Male No Radial STEMI 63.0 160.0 58.0
## 560 87 Female No Femoral Unstable Angina 63.0 140.0 42.0
## 561 75 Male No Femoral Unstable Angina 63.0 153.0 63.0
## 562 76 Female No Radial Unstable Angina 63.0 153.0 50.0
## 563 66 Male No Femoral Unstable Angina 63.0 168.0 61.0
## 564 80 Male No Radial Unstable Angina 63.0 170.0 78.0
## 565 52 Female No Femoral Unstable Angina 63.0 158.0 60.0
## 566 70 Female No Femoral STEMI 63.1 153.0 43.0
## 567 52 Male No Radial STEMI 63.1 172.0 76.0
## 568 75 Female No Radial Unstable Angina 63.1 144.0 39.0
## 569 51 Male No Radial Unstable Angina 63.2 168.0 62.0
## 570 41 Male No Radial STEMI 63.3 163.0 64.0
## 571 64 Female No Radial NSTEMI 63.3 155.0 62.0
## 572 62 Female No Radial STEMI 63.4 156.0 52.0
## 573 70 Female No Radial STEMI 63.4 160.0 62.0
## 574 63 Female Yes Femoral STEMI 63.4 150.0 66.0
## 575 67 Female No Radial Unstable Angina 63.4 147.0 51.0
## 576 80 Female No Radial NSTEMI 63.4 158.0 51.0
## 577 80 Female No Radial Unstable Angina 63.4 148.0 57.0
## 578 49 Female No Femoral Unstable Angina 63.5 159.0 63.0
## 580 49 Male No Radial Unstable Angina 63.5 170.0 68.0
## 581 72 Male No Femoral Unstable Angina 63.5 160.0 58.0
## 582 79 Female No Femoral NSTEMI 63.6 154.0 61.0
## 583 78 Female No Femoral Unstable Angina 63.6 145.0 58.0
## 584 54 Male No Radial NSTEMI 63.7 175.0 74.0
## 585 65 Male No Radial Unstable Angina 63.7 170.0 77.0
## 586 62 Male No Femoral Unstable Angina 63.7 182.0 66.0
## 587 62 Male No Radial Unstable Angina 63.7 168.0 64.0
## 588 70 Male Yes Femoral STEMI 63.8 172.0 72.0
## 589 67 Male No Radial Unstable Angina 63.8 166.0 45.0
## 590 75 Female No Radial NSTEMI 63.8 153.0 55.0
## 591 67 Male No Radial Unstable Angina 63.8 166.0 45.0
## 592 69 Male No Radial NSTEMI 63.8 158.0 65.0
## 594 54 Male No Femoral Unstable Angina 63.8 151.0 68.0
## 595 62 Male No Radial Unstable Angina 63.9 172.0 76.0
## 596 65 Female No Femoral Unstable Angina 63.9 150.0 43.0
## 597 78 Female No Radial Unstable Angina 63.9 150.0 40.0
## 598 57 Male No Radial NSTEMI 64.0 163.0 55.0
## 599 51 Male No Radial NSTEMI 64.0 176.0 80.0
## 600 74 Male No Radial NSTEMI 64.0 168.0 70.0
## 601 78 Female No Radial Unstable Angina 64.0 155.0 60.0
## 602 71 Female No Femoral Unstable Angina 64.0 150.0 48.0
## 603 65 Female No Radial NSTEMI 64.0 161.0 51.0
## 604 85 Male No Radial Unstable Angina 64.1 171.0 60.0
## 605 44 Male No Radial Unstable Angina 64.2 176.0 73.0
## 606 54 Male No Radial Unstable Angina 64.2 170.0 66.0
## 607 73 Female No Radial Unstable Angina 64.2 165.0 62.0
## 608 53 Male No Femoral Unstable Angina 64.2 160.0 63.0
## 609 59 Male No Femoral Unstable Angina 64.2 170.0 85.0
## 610 68 Female No Radial Unstable Angina 64.3 154.0 76.0
## 611 49 Male No Radial Unstable Angina 64.3 185.0 100.0
## 612 59 Male No Radial Unstable Angina 64.3 174.0 67.0
## 613 65 Male No Radial NSTEMI 64.3 160.0 70.8
## 614 75 Female No Radial Unstable Angina 64.3 158.0 67.0
## 615 74 Female No Femoral STEMI 64.5 150.0 59.0
## 616 67 Female No Radial Unstable Angina 64.5 165.0 66.0
## 617 57 Female No Femoral Unstable Angina 64.5 150.0 65.0
## 618 51 Female No Femoral Unstable Angina 64.6 164.0 42.0
## 619 51 Female No Femoral NSTEMI 64.6 164.0 42.0
## 620 45 Male No Femoral STEMI 64.7 174.0 74.0
## 621 61 Male No Radial Unstable Angina 64.8 170.0 72.0
## 622 66 Male No Femoral Unstable Angina 64.8 167.0 71.0
## 623 53 Female No Radial Unstable Angina 64.8 150.0 53.0
## 624 66 Male No Radial Unstable Angina 64.8 168.0 69.0
## 625 65 Male No Femoral STEMI 64.9 169.0 68.0
## 626 62 Female No Femoral STEMI 64.9 158.0 67.0
## 627 68 Male No Radial NSTEMI 65.0 159.0 59.0
## 629 60 Male No Radial STEMI 65.0 168.0 70.0
## 630 65 Male No Femoral Unstable Angina 65.0 167.0 55.0
## 631 80 Female No Radial NSTEMI 65.0 140.0 40.0
## 632 73 Female No Radial Unstable Angina 65.0 151.0 60.0
## 633 64 Male No Radial NSTEMI 65.0 168.0 69.0
## 634 70 Female No Femoral Unstable Angina 65.0 140.0 56.0
## 635 41 Male No Radial Unstable Angina 65.0 152.0 50.0
## 636 70 Female No Femoral Unstable Angina 65.2 151.0 55.0
## 637 57 Female No Femoral Unstable Angina 65.3 151.0 94.0
## 638 71 Female No Radial Unstable Angina 65.3 148.0 55.0
## 639 77 Male No Radial STEMI 65.4 167.0 55.0
## 640 69 Female No Femoral Unstable Angina 65.4 151.0 67.0
## 641 58 Male No Femoral Unstable Angina 65.4 160.0 66.0
## 642 68 Male No Radial Unstable Angina 65.5 169.0 80.0
## 643 74 Female No Femoral Unstable Angina 65.5 160.0 55.0
## 644 67 Male No Radial Unstable Angina 65.6 173.0 81.0
## 645 51 Male Yes Radial STEMI 65.7 168.0 70.0
## 646 60 Male No Radial Unstable Angina 65.7 167.0 78.0
## 647 60 Male No Radial Unstable Angina 65.7 167.0 78.0
## 648 66 Female No Radial Unstable Angina 65.8 158.0 63.0
## 649 88 Female No Femoral NSTEMI 65.8 150.0 50.0
## 650 63 Male No Radial NSTEMI 65.9 160.0 70.0
## 651 88 Male No Radial Unstable Angina 66.0 168.0 55.0
## 652 40 Male No Femoral NSTEMI 66.0 168.0 62.0
## 653 52 Male No Radial Unstable Angina 66.0 178.0 99.0
## 654 65 Female No Radial Unstable Angina 66.0 151.0 57.0
## 655 79 Female No Radial Unstable Angina 66.0 154.0 63.0
## 656 73 Male No Femoral Unstable Angina 66.1 160.0 60.0
## 657 53 Female No Femoral Unstable Angina 66.1 150.0 61.0
## 658 74 Female No Femoral Unstable Angina 66.2 153.0 55.0
## 659 61 Male No Radial Unstable Angina 66.2 183.0 112.0
## 660 56 Male No Radial Unstable Angina 66.3 176.0 70.0
## 661 75 Female No Radial Unstable Angina 66.3 158.0 60.0
## 662 72 Female No Radial Unstable Angina 66.3 153.0 45.0
## 663 56 Male No Radial Unstable Angina 66.4 166.0 55.0
## 664 68 Male No Femoral Unstable Angina 66.4 163.0 59.0
## 665 48 Male No Radial Unstable Angina 66.4 161.0 57.0
## 666 41 Male No Radial Unstable Angina 66.4 163.0 57.0
## 667 87 Male No Radial Unstable Angina 66.4 168.0 55.0
## 669 64 Female No Radial Unstable Angina 66.5 160.0 62.0
## 670 69 Male No Femoral NSTEMI 66.7 179.0 70.0
## 671 73 Male No Radial Unstable Angina 66.7 170.0 76.0
## 672 55 Male Yes Femoral STEMI 66.9 178.0 65.0
## 673 79 Male No Radial Unstable Angina 66.9 169.0 77.0
## 674 68 Male No Radial Unstable Angina 66.9 165.0 67.0
## 675 68 Male No Radial Unstable Angina 66.9 165.0 65.0
## 676 65 Female No Femoral STEMI 67.0 158.0 64.0
## 677 58 Male No Radial Unstable Angina 67.0 167.0 67.0
## 678 72 Male No Femoral Unstable Angina 67.0 164.0 50.0
## 679 68 Male No Radial Unstable Angina 67.0 180.0 82.0
## 680 70 Female Yes Femoral STEMI 67.1 150.0 44.0
## 681 41 Male No Radial NSTEMI 67.1 175.0 92.0
## 682 44 Male No Radial STEMI 67.2 173.0 69.0
## 683 67 Male No Radial Unstable Angina 67.2 169.0 69.0
## 684 61 Male No Radial Unstable Angina 67.2 160.0 67.0
## 685 51 Male No Radial Unstable Angina 67.2 167.0 73.0
## 686 64 Male No Radial Unstable Angina 67.4 155.0 53.0
## 688 56 Male No Femoral Unstable Angina 67.5 166.0 76.0
## 689 74 Female No Radial Unstable Angina 67.6 155.0 61.0
## 690 75 Female No Radial Unstable Angina 67.7 140.0 50.0
## 692 67 Female No Femoral Unstable Angina 68.0 160.0 60.0
## 693 77 Female No Radial Unstable Angina 68.0 157.0 57.0
## 694 52 Male No Radial Unstable Angina 68.0 169.0 69.0
## 695 39 Female No Radial Unstable Angina 68.2 159.0 54.0
## 697 52 Female No Femoral Unstable Angina 68.4 148.0 60.0
## 698 41 Male No Radial Unstable Angina 68.6 180.0 84.0
## 699 66 Male No Femoral NSTEMI 69.0 170.0 67.0
## 700 67 Male No Radial Unstable Angina 69.1 170.0 51.0
## 701 46 Male No Radial Unstable Angina 69.7 165.0 71.0
## 702 68 Male No Femoral Unstable Angina 69.9 170.0 54.0
## 703 71 Female No Femoral Unstable Angina 70.0 145.0 58.0
## 705 73 Female No Radial Unstable Angina 70.0 148.0 51.0
## 706 83 Female No Radial Unstable Angina 70.2 145.0 60.0
## 707 76 Female No Radial Unstable Angina 70.2 150.0 70.0
## 708 68 Female No Radial Unstable Angina 71.1 158.0 56.0
## 709 51 Male No Radial Unstable Angina 71.5 175.0 70.0
## 710 61 Male No Radial Unstable Angina 71.6 165.0 74.0
## 711 61 Male No Radial Unstable Angina 71.9 165.0 55.0
## 712 66 Female No Femoral Unstable Angina 71.9 160.0 60.0
## 713 47 Male No Radial NSTEMI 72.0 170.0 67.0
## 715 59 Male No Radial Unstable Angina 73.0 170.0 64.0
## 717 77 Male No Radial Unstable Angina 74.0 172.0 76.0
## 718 62 Male No Femoral NSTEMI 74.0 163.0 74.0
## 719 62 Female No Radial NSTEMI 75.0 160.0 68.0
## 720 40 Male No Femoral Unstable Angina 78.1 169.0 74.0
## 721 40 Male No Femoral Unstable Angina 78.1 169.0 74.0
## 722 91 Male No Radial Unstable Angina 79.0 170.0 60.0
## BMI obesity TC LDLC HDLC TG DM HBP smoking
## 1 25.51020 Yes 215.0 154 35 155 Yes No Smoker
## 4 18.36547 No 121.0 73 20 89 No No Never
## 5 24.38653 No 195.0 151 36 63 Yes Yes Smoker
## 6 25.20398 Yes 184.0 112 38 137 Yes Yes Never
## 7 27.96802 Yes 161.0 91 34 196 Yes Yes Ex-smoker
## 8 19.53125 No 136.0 88 33 30 Yes Yes Ex-smoker
## 9 28.99931 Yes 239.0 161 34 118 Yes Yes Never
## 10 21.25850 No 169.0 88 54 141 Yes No Smoker
## 11 19.59184 No 272.0 212 32 52 Yes No Ex-smoker
## 12 25.88757 Yes 184.0 123 43 72 Yes Yes Never
## 13 23.79536 No 239.0 150 42 156 Yes Yes Never
## 14 22.66667 No 171.0 94 46 120 Yes No Never
## 15 19.62826 No 130.0 78 31 139 No No Ex-smoker
## 17 23.37258 No 169.0 114 35 63 Yes Yes Smoker
## 19 23.18367 No 173.0 107 32 115 No Yes Smoker
## 20 36.52301 Yes 201.0 122 42 77 No No Ex-smoker
## 21 22.72044 No 125.0 53 55 30 Yes Yes Smoker
## 22 19.43301 No 108.0 57 41 30 No Yes Smoker
## 23 24.60973 No 151.0 87 40 117 No No Ex-smoker
## 24 23.78121 No 233.0 139 44 95 No Yes Never
## 25 24.22145 No 164.0 114 35 66 No No Smoker
## 26 18.73049 No 174.0 86 37 183 Yes Yes Never
## 27 23.14050 No 225.0 151 32 148 No No Smoker
## 28 23.30668 No 148.0 94 37 56 Yes Yes Smoker
## 30 21.22281 No 208.0 152 36 47 Yes No Smoker
## 31 19.97919 No 188.0 118 53 52 No No Smoker
## 32 23.14050 No 185.0 92 66 71 Yes Yes Never
## 33 27.34375 Yes 214.0 145 45 99 No Yes Ex-smoker
## 34 20.24490 No 181.0 120 41 76 Yes Yes Smoker
## 35 25.51020 Yes 159.0 89 31 115 No Yes Smoker
## 36 20.57613 No 127.0 61 33 76 No No Ex-smoker
## 37 21.35931 No 212.0 147 48 83 No No Never
## 38 20.19509 No 250.0 162 68 95 No No Ex-smoker
## 39 18.08021 No 132.0 74 29 156 No No Never
## 40 26.21882 Yes 195.0 125 48 89 Yes Yes Never
## 41 31.22130 Yes 272.0 196 56 58 No Yes Smoker
## 42 31.11111 Yes 131.0 86 21 102 Yes Yes Never
## 43 24.80159 No 105.0 265 35 126 Yes No Smoker
## 44 25.34435 Yes 140.0 77 45 122 Yes Yes Never
## 45 23.87543 No 133.0 82 21 92 No Yes Ex-smoker
## 46 25.52964 Yes 198.0 133 42 54 No Yes Never
## 47 25.59374 Yes 276.0 169 33 233 Yes Yes Smoker
## 48 29.21841 Yes 117.0 60 24 160 Yes Yes Never
## 49 21.09375 No 86.0 42 19 78 No Yes Ex-smoker
## 50 18.59012 No 159.0 64 62 29 No Yes Never
## 51 21.82995 No 223.0 89 31 416 Yes Yes Smoker
## 52 19.84127 No 165.0 112 42 107 No Yes Never
## 53 32.56189 Yes 208.0 140 25 243 No No Smoker
## 54 25.24934 Yes 195.0 147 37 88 No No Smoker
## 55 22.77319 No 134.0 82 40 67 Yes Yes Never
## 56 27.54821 Yes 194.0 147 30 60 No Yes Never
## 57 24.97399 No 187.0 108 35 209 Yes Yes Never
## 58 21.96712 No 164.0 103 34 101 No No Smoker
## 59 24.44444 No 176.0 79 54 134 Yes Yes Never
## 60 27.54821 Yes 186.0 133 47 67 No Yes Smoker
## 61 20.79673 No 125.0 27 75 37 No No Never
## 62 21.97134 No 165.0 110 45 29 No No Smoker
## 63 26.83865 Yes 223.0 143 48 115 Yes No Smoker
## 64 25.95156 Yes 140.0 89 28 85 Yes Yes Smoker
## 65 19.47341 No 212.0 125 48 88 No No Never
## 66 22.06035 No 189.0 107 49 89 No No Never
## 67 27.34375 Yes 174.0 127 21 177 Yes Yes Never
## 68 22.67574 No 154.0 81 31 36 Yes Yes Smoker
## 69 26.98962 Yes 231.0 167 41 90 No No Ex-smoker
## 70 24.74094 No 309.0 222 48 182 No No Never
## 71 20.02884 No 175.0 95 46 37 No Yes Ex-smoker
## 73 18.36900 No 208.0 154 37 112 Yes No Never
## 74 22.32143 No 221.0 155 56 58 No No Smoker
## 75 20.70082 No 154.0 87 48 67 No Yes Never
## 76 21.48438 No 221.0 166 51 71 No No Smoker
## 77 20.90420 No 221.0 147 47 127 No Yes Smoker
## 78 24.16716 No 152.0 114 16 16 No No Ex-smoker
## 79 22.03857 No 127.0 70 42 61 No Yes Ex-smoker
## 80 18.90204 No 126.0 71 27 84 Yes Yes Never
## 81 22.83288 No 166.0 112 38 76 No Yes Never
## 82 21.41094 No 126.0 72 24 94 No Yes Never
## 83 22.66667 No 195.0 131 36 140 Yes Yes Never
## 84 25.24934 Yes 174.0 115 19 151 Yes No Smoker
## 85 18.01721 No 99.0 68 24 82 No No Never
## 86 24.21875 No 178.0 92 68 42 No Yes Never
## 88 23.03005 No 185.0 141 26 96 No No Smoker
## 90 26.57313 Yes 248.0 155 40 138 No No Smoker
## 91 24.44444 No 246.0 141 7 70 Yes Yes Ex-smoker
## 92 25.18079 Yes 231.0 95 58 93 No Yes Ex-smoker
## 93 25.39062 Yes 160.0 100 31 119 Yes Yes Never
## 94 22.85714 No 202.0 34 14 106 No No Smoker
## 95 21.25850 No 140.0 85 25 142 No Yes Smoker
## 96 22.98190 No 196.0 96 28 446 No No Smoker
## 97 21.07720 No 225.0 64 77 91 No Yes Smoker
## 98 22.10029 No 258.0 195 41 97 Yes No Smoker
## 99 20.28123 No 173.0 123 28 76 No Yes Ex-smoker
## 100 22.03857 No 227.0 154 35 108 Yes Yes Never
## 101 16.65249 No 154.0 102 37 44 No No Smoker
## 103 24.44444 No 141.0 65 38 44 No Yes Ex-smoker
## 104 24.69136 No 103.0 52 31 68 Yes Yes Smoker
## 105 22.10029 No 251.0 161 55 109 Yes Yes Never
## 106 28.88889 Yes 88.0 29 38 80 No Yes Never
## 107 23.43750 No 89.0 36 34 120 No Yes Never
## 109 22.23099 No 178.0 131 45 27 No Yes Ex-smoker
## 110 25.21625 Yes 139.0 90 38 74 No Yes Ex-smoker
## 111 21.92886 No 164.0 102 35 92 No No Smoker
## 112 24.76757 No 209.0 140 36 212 Yes Yes Ex-smoker
## 113 21.67126 No 234.0 153 56 109 No No Smoker
## 114 20.54989 No 126.0 63 48 62 Yes Yes Ex-smoker
## 116 26.53376 Yes 164.0 111 38 91 Yes Yes Smoker
## 118 24.34176 No 174.0 103 10 129 No Yes Ex-smoker
## 119 25.14861 Yes 179.0 119 31 120 No Yes Never
## 120 23.43750 No 25.0 96 10 26 No No Smoker
## 121 23.87511 No 164.0 109 33 40 No Yes Smoker
## 122 26.07897 Yes 184.0 124 29 414 Yes No Smoker
## 123 24.97399 No 180.0 132 40 60 Yes Yes Ex-smoker
## 124 24.67702 No 278.0 188 37 146 Yes Yes Ex-smoker
## 125 19.59184 No 143.0 91 33 50 No No Smoker
## 126 23.43750 No 222.0 161 40 118 No No Never
## 127 23.33547 No 160.0 81 41 166 No No Ex-smoker
## 128 25.25952 Yes 258.0 189 36 66 Yes No Smoker
## 129 20.76125 No 221.0 108 44 178 Yes Yes Never
## 130 21.07720 No 277.0 194 40 154 No Yes Smoker
## 131 27.43725 Yes 212.0 128 50 45 No Yes Never
## 132 22.22222 No 151.0 96 43 39 No No Smoker
## 133 27.61341 Yes 165.0 105 39 85 No Yes Never
## 134 23.71961 No 172.0 116 35 58 Yes No Ex-smoker
## 135 20.02884 No 166.0 98 39 113 Yes No Smoker
## 137 23.12062 No 210.0 153 44 54 No No Never
## 138 30.47797 Yes 197.0 131 42 143 No Yes Smoker
## 139 20.70082 No 148.0 84 37 103 No Yes Never
## 140 22.65625 No 159.0 91 45 67 No Yes Never
## 141 23.30905 No 315.0 205 75 80 Yes Yes Never
## 142 24.60938 No 210.0 167 27 130 No No Smoker
## 143 22.09317 No 160.0 112 32 142 No No Never
## 144 26.12245 Yes 208.0 151 41 224 No Yes Smoker
## 145 22.89282 No 165.0 83 50 63 Yes No Never
## 146 23.52941 No 181.0 113 38 33 No No Smoker
## 147 26.92744 Yes 199.0 132 38 211 No No Ex-smoker
## 148 25.20920 Yes 207.0 146 30 101 Yes No Ex-smoker
## 149 22.65625 No 143.0 94 24 92 No Yes Ex-smoker
## 150 21.25850 No 195.0 144 30 66 No Yes Smoker
## 151 27.43484 Yes 185.0 91 68 78 No Yes Ex-smoker
## 152 24.85795 No 145.0 98 36 38 No No Never
## 153 26.91273 Yes 205.0 112 44 75 Yes No Smoker
## 154 21.51386 No 201.0 76 31 55 Yes No Never
## 155 34.47525 Yes 116.0 47 50 129 Yes Yes Smoker
## 156 29.02531 Yes 134.0 71 39 96 Yes No Ex-smoker
## 157 23.71184 No 205.0 136 48 117 No No Never
## 158 23.52941 No 239.0 15 41 78 Yes Yes Smoker
## 159 21.45329 No 169.0 108 44 55 No Yes Ex-smoker
## 160 22.97194 No 139.0 76 33 76 No Yes Never
## 161 24.14152 No 242.0 172 32 302 Yes Yes Never
## 163 22.06035 No 278.0 185 45 210 No Yes Never
## 164 17.00680 No 113.0 79 14 47 No No Smoker
## 165 17.00680 No 113.0 79 14 47 No No Smoker
## 166 26.98962 Yes 216.0 143 41 138 No No Ex-smoker
## 167 18.66667 No 184.0 125 42 25 Yes Yes Never
## 168 18.66667 No 123.0 71 27 73 No No Smoker
## 169 20.67901 No 141.0 98 32 54 Yes Yes Ex-smoker
## 170 27.47138 Yes 202.0 130 37 134 No Yes Ex-smoker
## 171 23.38869 No 202.0 157 45 40 No No Ex-smoker
## 172 27.42857 Yes 180.0 107 42 130 No Yes Smoker
## 173 22.40588 No 182.0 125 36 74 Yes Yes Ex-smoker
## 174 21.87500 No 228.0 181 29 66 No Yes Smoker
## 175 24.16716 No 155.0 82 59 77 Yes No Ex-smoker
## 176 20.44444 No 153.0 101 32 113 Yes Yes Ex-smoker
## 177 24.97704 No 236.0 173 10 77 Yes No Smoker
## 178 22.12974 No 181.0 110 51 49 No No Ex-smoker
## 179 18.59012 No 168.0 107 41 69 No No Never
## 180 23.88946 No 245.0 166 50 128 No No Never
## 181 24.72518 No 218.0 147 47 120 No Yes Ex-smoker
## 182 20.76125 No 169.0 92 10 142 No No Ex-smoker
## 183 32.45568 Yes 199.0 129 32 257 Yes Yes Smoker
## 184 22.80602 No 222.0 161 42 120 No Yes Ex-smoker
## 185 22.52151 No 203.0 141 38 57 Yes No Ex-smoker
## 186 27.09925 Yes 187.0 123 47 192 No Yes Smoker
## 187 20.00000 No 209.0 156 42 84 No Yes Never
## 188 25.06575 Yes 190.0 128 43 126 No Yes Ex-smoker
## 189 21.40309 No 256.0 166 8 64 No Yes Never
## 191 22.03173 No 152.0 79 51 108 No No Smoker
## 192 20.76125 No 212.0 149 33 120 No Yes Smoker
## 193 20.00000 No 323.0 220 50 184 Yes Yes Never
## 194 27.04164 Yes 192.0 136 32 106 Yes Yes Never
## 195 22.03857 No 146.0 99 33 78 No Yes Ex-smoker
## 196 27.82931 Yes 227.0 132 47 111 Yes Yes Never
## 197 22.03857 No 189.0 127 41 68 No No Smoker
## 198 22.30815 No 169.0 118 28 156 No No Smoker
## 199 27.54821 Yes 200.0 134 34 217 Yes No Smoker
## 200 21.45329 No 235.0 180 40 90 No No Ex-smoker
## 201 25.39062 Yes 168.0 118 40 24 Yes Yes Smoker
## 202 17.91509 No 168.0 111 36 76 No Yes Ex-smoker
## 203 26.12245 Yes 230.0 151 40 201 No No Smoker
## 204 29.72652 Yes 188.0 142 29 110 No No Smoker
## 205 31.68855 Yes 152.0 93 29 135 No Yes Never
## 206 27.45060 Yes 193.0 141 30 203 No No Smoker
## 207 24.97399 No 153.0 92 35 84 No No Never
## 208 19.53125 No 144.0 75 50 44 No No Smoker
## 209 22.44802 No 215.0 159 30 164 No No Smoker
## 210 22.03857 No 143.0 91 39 44 Yes Yes Ex-smoker
## 211 22.37568 No 189.0 128 40 115 No No Smoker
## 212 26.81359 Yes 157.0 99 41 105 Yes No Never
## 213 23.24380 No 183.0 120 11 71 No No Smoker
## 214 24.14152 No 251.0 141 50 136 No Yes Ex-smoker
## 215 19.03114 No 184.0 129 32 101 No Yes Ex-smoker
## 216 29.41076 Yes 33.0 103 10 110 No No Smoker
## 217 25.71166 Yes 208.0 148 28 38 No No Smoker
## 218 27.34375 Yes 246.0 163 53 80 No Yes Never
## 219 24.60938 No 184.0 130 39 65 No Yes Never
## 221 20.07733 No 96.0 60 24 80 Yes Yes Never
## 222 23.04688 No 226.0 162 45 55 No Yes Never
## 223 26.03749 Yes 151.0 79 52 60 No Yes Ex-smoker
## 224 24.97704 No 155.0 74 43 109 Yes No Ex-smoker
## 225 22.89282 No 231.0 130 43 178 Yes Yes Never
## 226 18.90204 No 159.0 71 47 172 Yes Yes Never
## 227 19.25703 No 227.0 170 34 108 No Yes Smoker
## 228 25.71166 Yes 262.0 205 26 154 No No Smoker
## 229 22.65625 No 148.0 87 39 78 No Yes Ex-smoker
## 230 24.50895 No 166.0 119 33 83 No Yes Never
## 231 22.83288 No 289.0 224 44 81 Yes No Smoker
## 232 23.97959 No 203.0 157 39 79 Yes Yes Never
## 233 25.46198 Yes 128.0 74 35 75 No No Never
## 234 22.72440 No 147.0 77 42 71 No No Smoker
## 236 24.56747 No 200.0 166 38 176 No Yes Smoker
## 237 24.97399 No 229.0 154 51 121 Yes Yes Never
## 238 27.47138 Yes 175.0 104 59 24 No Yes Ex-smoker
## 239 21.40309 No 199.0 107 60 119 No Yes Never
## 240 24.16327 No 164.0 87 36 54 Yes Yes Ex-smoker
## 241 22.77319 No 137.0 81 39 46 Yes Yes Ex-smoker
## 242 22.65625 No 166.0 104 46 48 No No Ex-smoker
## 244 26.29758 Yes 222.0 149 36 135 No No Smoker
## 245 26.31464 Yes 163.0 90 41 177 No No Ex-smoker
## 246 21.46194 No 190.0 129 29 118 No No Smoker
## 247 24.78426 No 150.0 79 47 174 Yes No Smoker
## 248 32.34682 Yes 144.0 98 37 62 Yes Yes Ex-smoker
## 249 25.39062 Yes 217.0 170 33 49 No No Smoker
## 250 27.13141 Yes 214.0 132 43 194 Yes No Ex-smoker
## 251 25.60554 Yes 143.0 83 20 163 No No Smoker
## 252 21.61281 No 170.0 116 50 48 No No Smoker
## 253 31.64062 Yes 213.0 76 36 489 No Yes Smoker
## 254 24.44180 No 178.0 104 39 263 Yes Yes Smoker
## 255 30.10381 Yes 210.0 145 38 169 No No Smoker
## 256 21.77384 No 178.0 121 29 115 No No Smoker
## 257 23.14050 No 195.0 128 36 136 No No Smoker
## 258 26.12245 Yes 248.0 158 37 240 No No Smoker
## 259 27.34375 Yes 199.0 118 38 212 No Yes Smoker
## 260 27.30997 Yes 151.0 77 43 130 No Yes Never
## 261 18.36547 No 98.0 48 37 27 Yes No Never
## 262 20.00000 No 231.0 141 50 98 Yes Yes Never
## 263 24.07407 No 223.0 159 25 184 Yes Yes Smoker
## 264 23.87543 No 148.0 103 33 133 Yes Yes Smoker
## 265 22.64086 No 271.0 179 40 179 Yes Yes Never
## 266 24.97704 No 166.0 129 28 125 No Yes Smoker
## 267 28.73175 Yes 184.0 133 36 112 No Yes Smoker
## 268 23.80869 No 187.0 146 34 65 No No Smoker
## 269 26.82742 Yes 240.0 196 36 194 No No Smoker
## 270 24.77210 No 179.0 121 37 76 No No Smoker
## 271 26.15563 Yes 230.0 154 45 169 No No Ex-smoker
## 272 27.71769 Yes 164.0 119 23 151 No No Ex-smoker
## 273 22.86237 No 199.0 129 39 75 No Yes Never
## 274 28.88889 Yes 207.0 134 42 135 No Yes Never
## 275 22.65625 No 156.0 111 35 62 Yes No Never
## 276 24.91349 No 225.0 108 48 257 No No Ex-smoker
## 277 25.86451 Yes 170.0 114 37 70 No Yes Ex-smoker
## 278 27.42857 Yes 180.0 122 34 70 No Yes Ex-smoker
## 280 19.53125 No 105.0 51 29 123 No Yes Smoker
## 281 22.38631 No 181.0 112 51 32 No No Smoker
## 282 23.19109 No 181.0 123 44 43 No No Never
## 284 22.09317 No 137.0 73 47 31 No Yes Smoker
## 285 27.18090 Yes 140.0 88 34 181 No Yes Ex-smoker
## 286 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 287 24.31412 No 227.0 144 47 75 No Yes Smoker
## 288 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 289 22.12974 No 168.0 112 44 61 No Yes Smoker
## 290 25.33333 Yes 102.0 72 25 65 Yes Yes Never
## 291 25.01352 Yes 168.0 107 28 188 Yes No Smoker
## 292 24.18705 No 176.0 87 46 218 No No Smoker
## 293 31.07354 Yes 97.0 53 26 93 Yes No Smoker
## 294 20.18462 No 189.0 91 45 141 No No Smoker
## 295 20.18462 No 207.0 137 43 136 No No Smoker
## 296 27.34375 Yes 154.0 86 42 148 Yes Yes Ex-smoker
## 297 23.93899 No 163.0 102 28 220 No No Smoker
## 298 21.45329 No 208.0 113 41 259 No No Smoker
## 299 28.65014 Yes 116.0 48 38 164 Yes Yes Smoker
## 300 21.45329 No 131.0 67 30 156 No Yes Smoker
## 301 23.47303 No 211.0 145 39 75 No Yes Never
## 302 23.33547 No 162.0 103 26 184 No No Ex-smoker
## 303 25.56495 Yes 161.0 108 34 59 No No Smoker
## 304 23.50781 No 218.0 171 35 120 No Yes Ex-smoker
## 305 19.25703 No 182.0 123 33 120 Yes Yes Ex-smoker
## 306 22.52151 No 244.0 161 48 97 No Yes Never
## 307 26.17188 Yes 239.0 169 43 112 No No Smoker
## 308 23.12062 No 230.0 143 58 109 No No Never
## 309 23.43750 No 118.0 70 35 95 No Yes Smoker
## 310 25.39062 Yes 170.0 128 35 58 No Yes Ex-smoker
## 311 27.54821 Yes 228.0 175 46 98 Yes Yes Smoker
## 312 23.63403 No 168.0 104 45 646 No Yes Never
## 313 25.76298 Yes 182.0 111 43 134 No Yes Smoker
## 314 41.42012 Yes 229.0 148 47 151 Yes Yes Ex-smoker
## 315 24.14152 No 223.0 147 33 147 Yes Yes Never
## 316 27.99036 Yes 198.0 131 38 101 No No Smoker
## 317 22.05805 No 154.0 98 29 91 No Yes Smoker
## 318 23.42356 No 192.0 110 39 81 No Yes Smoker
## 319 26.07897 Yes 158.0 89 30 157 No Yes Smoker
## 320 20.02884 No 160.0 83 49 58 No No Smoker
## 321 30.79585 Yes 172.0 104 36 189 Yes Yes Smoker
## 322 25.39343 Yes 155.0 70 45 217 No Yes Smoker
## 323 32.04615 Yes 330.0 263 49 84 Yes No Ex-smoker
## 324 21.70139 No 202.0 128 31 149 No No Never
## 325 26.44898 Yes 149.0 93 24 154 Yes Yes Ex-smoker
## 326 27.10204 Yes 120.0 63 38 112 No No Smoker
## 327 27.45865 Yes 173.0 113 33 138 Yes No Never
## 328 22.20408 No 188.0 132 28 131 Yes Yes Smoker
## 330 22.32143 No 108.0 60 21 123 Yes Yes Smoker
## 331 18.42404 No 199.0 125 38 141 Yes Yes Never
## 332 24.60938 No 141.0 79 28 152 No No Never
## 333 23.04688 No 178.0 100 33 176 No Yes Never
## 334 24.30462 No 132.8 77 32 119 Yes Yes Smoker
## 335 21.35780 No 105.0 45 38 28 No Yes Smoker
## 336 21.40309 No 191.0 106 52 64 Yes Yes Never
## 337 22.54658 No 161.0 107 25 164 Yes Yes Never
## 338 27.34375 Yes 178.0 101 35 123 Yes Yes Never
## 339 24.22145 No 159.0 93 47 88 No No Never
## 340 20.19558 No 223.0 126 66 83 No Yes Smoker
## 341 29.93827 Yes 194.0 143 41 108 No No Smoker
## 342 25.43748 Yes 255.0 136 51 176 No Yes Never
## 343 26.10656 Yes 154.0 71 55 68 No No Ex-smoker
## 344 27.81588 Yes 184.0 90 63 135 Yes Yes Never
## 345 27.18090 Yes 182.0 113 24 64 No No Smoker
## 346 24.03461 No 146.0 88 45 65 No No Never
## 347 26.33289 Yes 199.0 149 21 114 No Yes Ex-smoker
## 348 25.86451 Yes 226.0 146 53 31 No No Smoker
## 349 26.77551 Yes 164.0 93 47 60 Yes Yes Never
## 351 24.46460 No 144.0 94 30 75 No Yes Never
## 352 23.14050 No 127.0 81 28 80 No Yes Smoker
## 353 24.50895 No 286.0 198 48 166 No No Ex-smoker
## 354 21.22789 No 177.0 113 34 151 No No Ex-smoker
## 355 23.30109 No 117.0 69 34 19 Yes Yes Smoker
## 356 22.03857 No 169.0 109 41 106 No Yes Ex-smoker
## 357 23.03005 No 166.0 102 10 87 Yes Yes Smoker
## 358 26.29758 Yes 118.0 74 25 61 No Yes Never
## 359 25.59374 Yes 193.0 102 42 200 Yes No Smoker
## 360 26.21882 Yes 178.0 111 39 20 No No Never
## 361 24.03461 No 179.0 117 44 93 Yes Yes Never
## 362 24.22145 No 173.0 112 23 90 Yes Yes Smoker
## 363 25.28257 Yes 125.0 55 39 109 Yes Yes Never
## 364 28.65014 Yes 210.0 152 38 63 No Yes Never
## 365 24.72518 No 178.0 117 42 79 No Yes Never
## 366 29.38776 Yes 267.0 202 38 215 Yes Yes Smoker
## 367 31.74179 Yes 206.0 123 26 276 No No Smoker
## 368 24.60973 No 231.0 125 76 79 Yes No Smoker
## 369 24.80159 No 211.0 157 37 154 No Yes Smoker
## 370 26.63496 Yes 213.0 141 34 62 No Yes Never
## 371 27.54821 Yes 239.0 83 37 319 No No Ex-smoker
## 372 24.84098 No 162.0 108 39 136 No Yes Smoker
## 373 22.43230 No 221.0 136 70 118 No Yes Ex-smoker
## 374 25.95156 Yes 202.0 140 34 37 Yes Yes Never
## 375 23.80869 No 246.0 185 41 154 No No Smoker
## 376 25.96454 Yes 205.0 112 65 82 No Yes Ex-smoker
## 377 21.96712 No 248.0 182 37 122 No No Smoker
## 378 23.04688 No 168.0 98 36 32 No Yes Smoker
## 379 22.89282 No 220.0 151 34 162 No Yes Never
## 380 26.17188 Yes 165.0 104 34 137 No Yes Never
## 381 26.17188 Yes 165.0 104 34 137 No Yes Never
## 382 22.22222 No 95.0 41 8 105 Yes Yes Never
## 384 22.22222 No 128.0 65 38 83 No No Never
## 385 36.67820 Yes 210.0 150 33 181 Yes No Smoker
## 386 17.57812 No 163.0 99 55 44 No No Ex-smoker
## 387 22.53061 No 134.0 95 15 109 No No Ex-smoker
## 388 29.00059 Yes 216.0 163 34 181 No Yes Never
## 389 24.80159 No 188.0 114 33 201 No Yes Smoker
## 390 20.54419 No 206.0 123 49 99 No Yes Ex-smoker
## 391 22.49135 No 213.0 139 42 57 No No Never
## 392 27.04164 Yes 154.0 71 50 115 Yes Yes Never
## 394 26.07897 Yes 195.0 133 33 45 No Yes Never
## 395 24.03461 No 103.0 36 38 132 Yes Yes Never
## 396 20.76125 No 171.0 100 49 127 No Yes Smoker
## 397 20.20202 No 199.0 133 37 30 No Yes Never
## 398 23.33547 No 232.0 108 24 375 Yes Yes Never
## 399 28.94610 Yes 215.0 147 30 118 No Yes Never
## 400 21.92613 No 126.0 76 27 83 No No Never
## 401 24.21875 No 190.0 118 23 152 Yes Yes Never
## 402 24.67550 No 188.0 104 59 113 No Yes Smoker
## 403 24.89706 No 155.8 97 22 184 No No Ex-smoker
## 404 26.66667 Yes 183.0 134 36 79 Yes No Never
## 406 19.37716 No 198.0 136 46 139 Yes No Ex-smoker
## 407 22.49135 No 164.0 109 34 61 No No Ex-smoker
## 408 17.92822 No 78.0 49 26 34 No Yes Smoker
## 409 33.62209 Yes 183.0 112 30 64 Yes Yes Never
## 410 26.34649 Yes 246.0 178 48 82 No No Smoker
## 411 22.89282 No 314.0 208 63 176 Yes Yes Never
## 412 21.23057 No 134.0 72 51 76 No No Never
## 414 23.72529 No 167.0 115 37 51 No Yes Never
## 415 21.25850 No 129.0 74 25 88 No Yes Never
## 416 26.95312 Yes 114.0 62 37 150 No Yes Ex-smoker
## 417 26.42357 Yes 203.0 128 48 60 No Yes Ex-smoker
## 418 22.23099 No 197.0 138 27 110 No No Ex-smoker
## 419 25.86451 Yes 235.0 190 34 87 Yes Yes Ex-smoker
## 420 23.66524 No 189.0 120 38 110 No Yes Ex-smoker
## 421 28.65014 Yes 197.0 121 41 124 No Yes Smoker
## 422 26.25958 Yes 155.0 87 39 61 Yes Yes Smoker
## 423 24.44444 No 139.0 175 5 66 No Yes Never
## 424 25.76298 Yes 203.0 128 35 258 Yes Yes Smoker
## 425 26.53376 Yes 179.0 74 29 377 Yes Yes Never
## 426 24.38237 No 184.0 117 34 99 No Yes Smoker
## 427 26.40235 Yes 155.0 105 41 108 Yes Yes Never
## 428 19.10009 No 227.0 140 35 192 No No Smoker
## 429 26.17188 Yes 185.0 113 41 92 Yes Yes Never
## 431 21.77778 No 258.0 161 31 185 Yes Yes Never
## 432 24.46460 No 224.0 149 26 217 Yes No Ex-smoker
## 433 23.58833 No 234.0 153 35 129 No No Smoker
## 434 26.23356 Yes 100.0 38 42 65 Yes Yes Ex-smoker
## 435 27.40766 Yes 118.0 50 33 97 Yes Yes Ex-smoker
## 436 24.38653 No 191.0 148 27 92 No No Never
## 437 27.68166 Yes 164.0 113 43 30 Yes Yes Ex-smoker
## 438 21.40309 No 176.0 118 34 142 Yes No Never
## 440 29.93827 Yes 204.0 107 43 180 No No Never
## 441 23.66144 No 265.0 177 45 288 Yes No Smoker
## 442 22.38631 No 162.0 94 39 92 No No Smoker
## 443 25.71101 Yes 193.0 119 28 107 No Yes Never
## 444 23.03005 No 145.0 52 24 680 Yes No Smoker
## 445 24.48980 No 206.0 128 40 66 No Yes Smoker
## 446 19.55556 No 177.0 44 55 77 Yes No Never
## 447 30.44384 Yes 167.0 117 35 117 No Yes Never
## 448 23.14050 No 225.0 151 32 148 No No Smoker
## 449 23.78121 No 201.0 154 34 144 No Yes Ex-smoker
## 450 23.72281 No 141.0 72 41 239 No No Ex-smoker
## 451 22.95918 No 480.0 314 44 243 Yes Yes Never
## 452 25.95156 Yes 145.0 83 35 66 No Yes Never
## 453 22.23099 No 150.0 82 26 153 Yes No Smoker
## 455 26.76978 Yes 134.0 98 24 60 No No Smoker
## 456 18.81892 No 130.0 43 61 72 No Yes Smoker
## 457 18.42404 No 493.0 366 59 163 No No Ex-smoker
## 458 24.97399 No 131.0 57 44 124 No No Ex-smoker
## 459 19.53125 No 190.0 115 51 38 No No Ex-smoker
## 460 24.97399 No 153.0 87 34 22 Yes No Never
## 461 25.91068 Yes 203.0 120 36 297 No Yes Smoker
## 462 22.58271 No 163.0 106 30 155 No Yes Never
## 463 25.05931 Yes 217.0 152 24 150 No Yes Ex-smoker
## 464 24.23823 No 181.0 122 34 68 No Yes Never
## 465 25.52964 Yes 139.0 77 57 67 No Yes Smoker
## 466 22.89282 No 202.0 121 31 207 Yes No Never
## 467 24.81633 No 205.0 106 34 246 No No Smoker
## 468 20.61925 No 186.0 144 34 53 No No Smoker
## 469 23.03005 No 182.0 119 49 48 No Yes Never
## 470 27.88519 Yes 232.0 132 60 132 Yes Yes Never
## 471 18.26150 No 170.0 85 20 311 Yes Yes Never
## 472 26.98962 Yes 188.0 126 39 173 No No Smoker
## 473 16.41531 No 143.0 99 27 75 Yes No Smoker
## 474 22.05805 No 261.0 189 43 104 No No Ex-smoker
## 475 21.20311 No 183.0 86 65 115 No No Smoker
## 476 24.22145 No 185.0 103 34 155 Yes Yes Ex-smoker
## 477 26.64360 Yes 91.0 50 26 70 No Yes Ex-smoker
## 478 23.66524 No 122.0 65 47 11 No Yes Ex-smoker
## 479 23.43750 No 161.0 114 32 61 No Yes Never
## 480 22.31328 No 182.0 109 52 30 No Yes Never
## 481 25.95156 Yes 147.0 93 38 74 No No Ex-smoker
## 482 21.46194 No 157.0 122 22 70 No No Smoker
## 483 23.05175 No 184.0 136 32 135 No Yes Ex-smoker
## 484 26.44628 Yes 98.0 52 29 60 Yes Yes Ex-smoker
## 485 20.76125 No 163.0 96 38 170 Yes Yes Smoker
## 486 26.44628 Yes 173.0 117 36 44 Yes Yes Never
## 487 24.67105 No 190.0 100 38 125 No Yes Ex-smoker
## 490 20.82094 No 214.0 120 46 53 No No Never
## 491 25.51020 Yes 195.0 128 42 64 No Yes Never
## 492 29.05329 Yes 188.0 75 35 619 Yes Yes Smoker
## 493 26.64360 Yes 116.0 83 23 41 No Yes Ex-smoker
## 494 29.05475 Yes 261.0 208 28 98 No No Smoker
## 495 25.46939 Yes 177.0 131 32 104 No Yes Never
## 496 22.95918 No 149.0 104 26 54 No Yes Smoker
## 497 22.86253 No 186.0 92 44 93 No No Never
## 498 38.44675 Yes 181.0 116 51 72 Yes No Never
## 499 25.46198 Yes 131.0 76 39 58 Yes Yes Smoker
## 500 24.91990 No 140.0 53 10 31 No No Never
## 501 24.08822 No 200.0 143 40 65 Yes Yes Ex-smoker
## 502 19.14672 No 197.0 112 51 81 No Yes Smoker
## 503 26.44628 Yes 122.0 73 26 80 Yes Yes Never
## 504 24.84098 No 162.0 102 44 81 No No Ex-smoker
## 505 22.38631 No 151.0 90 45 49 No No Never
## 506 26.39580 Yes 163.0 91 25 219 No No Smoker
## 507 21.30395 No 154.0 60 60 139 No No Smoker
## 510 23.04002 No 153.0 92 46 62 Yes Yes Smoker
## 511 17.14678 No 128.0 65 44 45 No No Smoker
## 512 31.21748 Yes 245.0 184 52 41 Yes No Never
## 513 25.40282 Yes 255.0 152 46 312 Yes Yes Smoker
## 514 26.48554 Yes 126.0 66 30 123 Yes Yes Smoker
## 515 26.72287 Yes 183.0 125 35 129 No No Smoker
## 516 22.22222 No 163.0 103 47 29 No Yes Never
## 517 26.02617 Yes 203.0 94 19 458 No Yes Smoker
## 518 25.52964 Yes 233.0 163 41 138 Yes Yes Never
## 519 24.74745 No 165.0 100 32 129 Yes Yes Never
## 520 33.67347 Yes 236.0 144 60 189 Yes Yes Smoker
## 521 29.90303 Yes 194.0 133 43 257 No Yes Ex-smoker
## 522 22.07108 No 207.0 158 25 106 No Yes Never
## 523 25.71166 Yes 141.0 69 54 153 Yes Yes Never
## 524 26.03749 Yes 32.0 100 4 66 Yes Yes Never
## 525 23.42209 No 226.0 150 40 128 No Yes Smoker
## 526 23.42209 No 188.0 117 49 128 No Yes Smoker
## 527 25.21625 Yes 196.0 136 21 180 No Yes Smoker
## 528 25.63692 Yes 225.0 164 39 127 Yes Yes Never
## 529 20.56933 No 189.0 105 58 66 No Yes Smoker
## 530 32.87197 Yes 182.0 142 40 99 Yes Yes Smoker
## 531 27.68166 Yes 217.0 159 34 143 No Yes Smoker
## 533 26.57313 Yes 185.0 80 33 318 No Yes Never
## 534 22.66667 No 296.0 93 26 393 Yes Yes Ex-smoker
## 535 25.95156 Yes 198.0 123 40 165 Yes No Smoker
## 536 22.98540 No 191.0 122 46 53 No No Smoker
## 537 29.06977 Yes 351.0 270 35 194 No No Smoker
## 538 21.78649 No 151.0 81 55 45 No No Never
## 539 22.65625 No 178.0 109 48 36 No Yes Ex-smoker
## 540 27.41445 Yes 181.0 124 30 92 No Yes Never
## 541 18.59113 No 207.0 141 48 69 No No Ex-smoker
## 542 24.30462 No 223.0 136 46 247 Yes Yes Never
## 543 17.75148 No 177.0 105 35 56 No No Smoker
## 544 26.72287 Yes 191.0 116 41 112 No Yes Ex-smoker
## 545 25.96953 Yes 162.0 99 39 115 No Yes Smoker
## 546 23.53037 No 178.0 121 25 165 No Yes Ex-smoker
## 547 30.48316 Yes 183.0 110 46 143 Yes Yes Smoker
## 548 30.35925 Yes 161.0 75 33 187 No Yes Never
## 549 22.32143 No 204.0 136 46 115 No Yes Never
## 550 27.99036 Yes 159.0 102 30 80 No Yes Ex-smoker
## 551 23.33547 No 344.0 71 30 217 No Yes Ex-smoker
## 552 23.87511 No 184.0 126 39 101 Yes No Smoker
## 553 23.73996 No 207.0 101 48 168 Yes No Never
## 554 22.30815 No 152.0 64 58 151 No No Smoker
## 555 24.60973 No 177.0 123 41 66 No Yes Never
## 556 21.33333 No 195.0 121 40 145 No Yes Never
## 557 27.14158 Yes 315.0 235 55 100 No No Smoker
## 559 22.65625 No 198.0 138 35 110 No No Smoker
## 560 21.42857 No 200.0 135 44 103 No No Never
## 561 26.91273 Yes 151.0 82 31 143 Yes No Ex-smoker
## 562 21.35931 No 275.0 178 45 87 No Yes Never
## 563 21.61281 No 246.0 64 29 801 Yes No Ex-smoker
## 564 26.98962 Yes 197.0 144 26 166 Yes Yes Never
## 565 24.03461 No 238.0 152 44 192 Yes Yes Never
## 566 18.36900 No 170.0 105 44 57 No Yes Never
## 567 25.68956 Yes 123.0 70 35 109 No Yes Smoker
## 568 18.80787 No 293.0 151 42 454 No Yes Never
## 569 21.96712 No 246.0 178 44 146 Yes No Smoker
## 570 24.08822 No 196.0 126 33 182 No No Smoker
## 571 25.80645 Yes 216.0 143 16 168 Yes Yes Never
## 572 21.36752 No 248.0 174 46 200 Yes Yes Smoker
## 573 24.21875 No 192.0 68 23 459 No No Smoker
## 574 29.33333 Yes 230.0 155 49 91 No No Smoker
## 575 23.60128 No 198.0 108 38 268 Yes Yes Never
## 576 20.42942 No 204.0 124 47 110 No Yes Never
## 577 26.02264 Yes 214.0 140 43 76 Yes Yes Never
## 578 24.91990 No 204.0 108 53 170 Yes Yes Ex-smoker
## 580 23.52941 No 158.0 104 31 64 No Yes Smoker
## 581 22.65625 No 102.0 55 34 89 No No Smoker
## 582 25.72103 Yes 205.0 143 33 117 No No Never
## 583 27.58621 Yes 246.0 175 39 110 Yes Yes Never
## 584 24.16327 No 246.0 174 45 165 No Yes Ex-smoker
## 585 26.64360 Yes 104.0 27 84 81 No No Ex-smoker
## 586 19.92513 No 136.0 63 42 78 No Yes Never
## 587 22.67574 No 230.0 173 32 86 No No Smoker
## 588 24.33748 No 186.0 148 36 67 No Yes Smoker
## 589 16.33038 No 199.0 113 58 58 Yes No Smoker
## 590 23.49524 No 228.0 116 67 68 Yes Yes Ex-smoker
## 591 16.33038 No 164.0 99 40 91 Yes No Ex-smoker
## 592 26.03749 Yes 190.0 118 29 153 No Yes Ex-smoker
## 594 29.82325 Yes 161.0 83 50 108 Yes No Never
## 595 25.68956 Yes 198.0 104 57 106 No Yes Never
## 596 19.11111 No 137.0 95 20 104 No Yes Never
## 597 17.77778 No 196.0 194 44 171 No Yes Never
## 598 20.70082 No 141.0 74 50 52 No Yes Smoker
## 599 25.82645 Yes 293.0 200 34 137 Yes Yes Smoker
## 600 24.80159 No 192.0 140 36 99 No No Ex-smoker
## 601 24.97399 No 183.0 124 43 154 No Yes Never
## 602 21.33333 No 149.0 83 44 51 No Yes Never
## 603 19.67517 No 286.0 188 62 104 Yes No Never
## 604 20.51913 No 182.0 107 37 78 No Yes Never
## 605 23.56663 No 231.0 192 29 144 No No Smoker
## 606 22.83737 No 154.0 76 38 177 Yes Yes Ex-smoker
## 607 22.77319 No 190.0 125 24 91 Yes No Never
## 608 24.60938 No 177.0 104 45 78 No No Smoker
## 609 29.41176 Yes 134.0 81 31 102 Yes No Ex-smoker
## 610 32.04588 Yes 195.0 132 47 65 Yes No Ex-smoker
## 611 29.21841 Yes 173.0 103 40 182 No Yes Ex-smoker
## 612 22.12974 No 206.0 98 72 231 No Yes Never
## 613 27.65625 Yes 190.0 137 28 110 No Yes Ex-smoker
## 614 26.83865 Yes 165.0 93 30 194 No Yes Never
## 615 26.22222 Yes 154.0 97 35 109 Yes Yes Never
## 616 24.24242 No 221.0 137 52 95 Yes Yes Ex-smoker
## 617 28.88889 Yes 261.0 194 51 99 Yes Yes Never
## 618 15.61570 No 240.0 109 49 54 No Yes Smoker
## 619 15.61570 No 197.0 122 49 54 No Yes Smoker
## 620 24.44180 No 144.0 88 37 129 No No Never
## 621 24.91349 No 194.0 144 32 55 No Yes Smoker
## 622 25.45807 Yes 221.0 145 37 92 No No Smoker
## 623 23.55556 No 244.0 170 34 51 No Yes Ex-smoker
## 624 24.44728 No 150.0 85 38 148 No Yes Smoker
## 625 23.80869 No 147.0 78 32 173 Yes No Smoker
## 626 26.83865 Yes 271.0 189 53 94 No Yes Never
## 627 23.33768 No 222.0 158 51 98 No Yes Smoker
## 629 24.80159 No 273.0 216 29 152 No No Smoker
## 630 19.72104 No 184.0 115 45 44 No No Ex-smoker
## 631 20.40816 No 200.0 137 34 101 Yes No Never
## 632 26.31464 Yes 170.0 96 51 91 Yes Yes Never
## 633 24.44728 No 234.0 156 43 119 No No Never
## 634 28.57143 Yes 116.0 50 35 219 No Yes Never
## 635 21.64127 No 208.0 201 40 406 No No Smoker
## 636 24.12175 No 224.0 156 40 141 Yes Yes Never
## 637 41.22626 Yes 292.0 210 36 332 Yes No Smoker
## 638 25.10957 Yes 189.0 118 39 124 No Yes Never
## 639 19.72104 No 178.0 100 51 73 No No Ex-smoker
## 640 29.38468 Yes 241.0 157 57 68 No Yes Ex-smoker
## 641 25.78125 Yes 120.0 67 39 72 No No Smoker
## 642 28.01022 Yes 119.0 66 34 39 No Yes Never
## 643 21.48438 No 166.0 82 53 64 Yes Yes Never
## 644 27.06405 Yes 224.0 189 35 56 No Yes Smoker
## 645 24.80159 No 174.0 118 37 112 No Yes Smoker
## 646 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 647 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 648 25.23634 Yes 166.0 111 34 62 No No Never
## 649 22.22222 No 164.0 115 38 86 No No Ex-smoker
## 650 27.34375 Yes 227.0 140 35 221 Yes Yes Smoker
## 651 19.48696 No 166.0 93 34 34 No No Ex-smoker
## 652 21.96712 No 215.0 134 32 241 No No Smoker
## 653 31.24605 Yes 120.0 55 19 225 No No Never
## 654 24.99890 No 263.0 183 42 80 No Yes Never
## 655 26.56434 Yes 181.0 111 36 179 No No Never
## 656 23.43750 No 145.0 115 34 54 No No Smoker
## 657 27.11111 Yes 203.0 126 42 50 Yes Yes Never
## 658 23.49524 No 234.0 198 54 77 Yes Yes Never
## 659 33.44382 Yes 186.0 114 39 96 No No Smoker
## 660 22.59814 No 235.0 183 33 93 No No Never
## 661 24.03461 No 124.0 70 30 131 Yes Yes Never
## 662 19.22338 No 189.0 125 47 40 No Yes Never
## 663 19.95936 No 136.0 85 38 57 No Yes Smoker
## 664 22.20633 No 207.0 140 26 105 Yes Yes Smoker
## 665 21.98989 No 300.0 227 38 136 No No Smoker
## 666 21.45357 No 194.0 110 60 48 No No Ex-smoker
## 667 19.48696 No 128.0 71 31 87 No No Never
## 669 24.21875 No 157.0 72 46 247 Yes Yes Never
## 670 21.84701 No 251.0 122 44 450 Yes Yes Smoker
## 671 26.29758 Yes 225.0 140 24 283 No No Ex-smoker
## 672 20.51509 No 212.0 159 40 45 No No Smoker
## 673 26.95984 Yes 131.0 81 23 150 No Yes Smoker
## 674 24.60973 No 158.0 107 33 165 No Yes Smoker
## 675 23.87511 No 199.0 147 43 41 No No Never
## 676 25.63692 Yes 279.0 168 38 283 Yes No Never
## 677 24.02381 No 143.0 86 19 232 Yes No Never
## 678 18.59012 No 131.0 67 49 67 No No Ex-smoker
## 679 25.30864 Yes 138.0 46 47 34 No No Ex-smoker
## 680 19.55556 No 171.0 98 44 82 Yes Yes Never
## 681 30.04082 Yes 297.0 125 33 584 Yes Yes Ex-smoker
## 682 23.05456 No 229.0 159 51 105 Yes No Smoker
## 683 24.15882 No 130.0 150 29 193 Yes Yes Ex-smoker
## 684 26.17188 Yes 170.0 115 40 39 No No Ex-smoker
## 685 26.17519 Yes 169.0 77 28 377 No No Smoker
## 686 22.06035 No 262.0 162 41 261 No Yes Smoker
## 688 27.58020 Yes 248.0 168 38 310 No Yes Smoker
## 689 25.39022 Yes 240.0 161 58 74 No No Ex-smoker
## 690 25.51020 Yes 175.0 96 34 219 Yes No Smoker
## 692 23.43750 No 199.0 141 29 161 No Yes Never
## 693 23.12467 No 231.0 97 29 84 No Yes Never
## 694 24.15882 No 136.0 78 27 164 Yes No Smoker
## 695 21.35991 No 157.0 85 46 75 No No Never
## 697 27.39226 Yes 186.0 134 33 96 No Yes Ex-smoker
## 698 25.92593 Yes 267.0 164 31 365 Yes No Smoker
## 699 23.18339 No 195.0 118 25 235 Yes No Smoker
## 700 17.64706 No 181.0 129 38 33 No Yes Smoker
## 701 26.07897 Yes 251.0 166 36 246 No Yes Ex-smoker
## 702 18.68512 No 158.0 115 33 59 No No Smoker
## 703 27.58621 Yes 231.0 118 42 279 No Yes Never
## 705 23.28342 No 157.0 90 32 161 No Yes Never
## 706 28.53746 Yes 167.0 84 34 84 No Yes Ex-smoker
## 707 31.11111 Yes 204.0 139 27 139 Yes Yes Never
## 708 22.43230 No 222.0 171 36 50 No Yes Never
## 709 22.85714 No 171.0 94 46 124 No No Never
## 710 27.18090 Yes 221.0 157 36 183 Yes No Smoker
## 711 20.20202 No 181.0 124 45 143 Yes Yes Smoker
## 712 23.43750 No 126.0 52 41 156 Yes No Never
## 713 23.18339 No 179.0 108 31 237 Yes Yes Ex-smoker
## 715 22.14533 No 204.0 105 28 304 No No Never
## 717 25.68956 Yes 108.0 63 31 53 Yes Yes Ex-smoker
## 718 27.85201 Yes 138.0 80 30 141 No No Smoker
## 719 26.56250 Yes 220.0 149 45 119 Yes No Never
## 720 25.90946 Yes 200.0 134 56 177 Yes Yes Never
## 721 25.90946 Yes 197.0 130 36 177 Yes No Never
## 722 20.76125 No 132.0 75 37 63 No Yes Smoker
# 1_2. complete.cases(data)의 결측치아닌 것1 의 mask를 행인덱싱자리에 넣어서 만들기
acs[ complete.cases(acs), ]
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168.0 72.0
## 4 89 Female No Femoral STEMI 21.8 165.0 50.0
## 5 56 Male No Radial NSTEMI 21.8 162.0 64.0
## 6 73 Female No Radial Unstable Angina 22.0 153.0 59.0
## 7 58 Male No Radial Unstable Angina 24.7 167.0 78.0
## 8 62 Male No Femoral STEMI 26.6 160.0 50.0
## 9 59 Female No Radial Unstable Angina 28.5 152.0 67.0
## 10 71 Male No Femoral STEMI 31.1 168.0 60.0
## 11 52 Male No Radial Unstable Angina 31.1 175.0 60.0
## 12 52 Female No Radial Unstable Angina 31.1 156.0 63.0
## 13 66 Male No Femoral Unstable Angina 31.5 164.0 64.0
## 14 64 Female No Femoral STEMI 31.9 150.0 51.0
## 15 62 Female No Femoral STEMI 32.0 158.0 49.0
## 17 65 Male No Radial Unstable Angina 32.0 152.0 54.0
## 19 63 Male Yes Radial STEMI 33.3 175.0 71.0
## 20 30 Male No Femoral STEMI 34.0 148.0 80.0
## 21 60 Male No Radial Unstable Angina 34.3 173.0 68.0
## 22 81 Male No Femoral NSTEMI 34.4 162.0 51.0
## 23 49 Male No Femoral Unstable Angina 34.4 165.0 67.0
## 24 72 Female No Femoral STEMI 34.5 145.0 50.0
## 25 63 Male Yes Femoral STEMI 34.6 170.0 70.0
## 26 72 Female No Femoral Unstable Angina 34.6 155.0 45.0
## 27 64 Male Yes Radial STEMI 35.0 165.0 63.0
## 28 64 Male No Femoral STEMI 35.4 167.0 65.0
## 30 47 Male Yes Femoral STEMI 35.5 179.0 68.0
## 31 46 Female No Femoral STEMI 35.6 155.0 48.0
## 32 55 Male Yes Femoral NSTEMI 35.7 165.0 63.0
## 33 73 Male No Radial NSTEMI 35.9 160.0 70.0
## 34 59 Male No Radial NSTEMI 36.5 175.0 62.0
## 35 79 Female No Radial Unstable Angina 36.5 140.0 50.0
## 36 80 Male No Radial STEMI 36.6 162.0 54.0
## 37 76 Female No Radial NSTEMI 36.8 153.0 50.0
## 38 73 Male No Femoral NSTEMI 37.0 162.0 53.0
## 39 61 Female No Femoral Unstable Angina 37.0 156.0 44.0
## 40 58 Male Yes Radial STEMI 37.3 168.0 74.0
## 41 58 Male No Femoral STEMI 37.5 165.0 85.0
## 42 72 Female No Radial NSTEMI 37.5 150.0 70.0
## 43 57 Male No Femoral NSTEMI 37.9 168.0 70.0
## 44 66 Male No Radial Unstable Angina 38.0 165.0 69.0
## 45 71 Male No Radial Unstable Angina 38.0 170.0 69.0
## 46 65 Female No Femoral STEMI 38.4 162.0 67.0
## 47 53 Male No Radial Unstable Angina 38.4 163.0 68.0
## 48 61 Female No Femoral NSTEMI 38.5 148.0 64.0
## 49 77 Male No Radial STEMI 38.8 160.0 54.0
## 50 82 Male No Femoral STEMI 39.0 164.0 50.0
## 51 65 Male Yes Radial STEMI 39.0 163.0 58.0
## 52 61 Male No Femoral STEMI 39.4 168.0 56.0
## 53 39 Male No Radial STEMI 40.0 169.0 93.0
## 54 49 Male No Radial STEMI 40.0 178.0 80.0
## 55 67 Male No Femoral NSTEMI 40.0 165.0 62.0
## 56 76 Male No Radial STEMI 40.2 165.0 75.0
## 57 79 Female No Radial NSTEMI 40.2 155.0 60.0
## 58 63 Male No Radial Unstable Angina 40.2 168.0 62.0
## 59 74 Female Yes Femoral STEMI 40.4 150.0 55.0
## 60 67 Male No Femoral STEMI 40.5 165.0 75.0
## 61 57 Male No Femoral STEMI 40.6 167.0 58.0
## 62 59 Male No Radial STEMI 40.9 172.0 65.0
## 63 76 Male No Radial STEMI 41.0 158.0 67.0
## 64 55 Male No Radial STEMI 41.3 170.0 75.0
## 65 80 Female No Femoral STEMI 41.5 157.0 48.0
## 66 88 Female No Radial NSTEMI 41.7 155.0 53.0
## 67 75 Female No Femoral STEMI 41.8 160.0 70.0
## 68 72 Male No Radial STEMI 42.0 168.0 64.0
## 69 52 Male No Femoral Unstable Angina 42.0 170.0 78.0
## 70 49 Male No Radial STEMI 42.1 167.0 69.0
## 71 78 Male No Femoral NSTEMI 42.1 158.0 50.0
## 73 67 Female No Radial NSTEMI 42.2 153.0 43.0
## 74 54 Male No Radial NSTEMI 42.4 168.0 63.0
## 75 76 Female No Radial NSTEMI 42.5 163.0 55.0
## 76 52 Male No Radial STEMI 42.5 160.0 55.0
## 77 65 Male No Femoral STEMI 42.6 168.0 59.0
## 78 64 Male No Radial STEMI 42.7 164.0 65.0
## 79 85 Male No Femoral NSTEMI 42.7 165.0 60.0
## 80 75 Female No Radial STEMI 42.8 156.0 46.0
## 81 78 Female No Radial STEMI 42.9 158.0 57.0
## 82 81 Male No Femoral Unstable Angina 43.0 166.0 59.0
## 83 74 Female No Radial Unstable Angina 43.0 150.0 51.0
## 84 58 Male Yes Femoral STEMI 43.2 178.0 80.0
## 85 63 Female No Femoral STEMI 43.2 149.0 40.0
## 86 72 Female No Femoral Unstable Angina 43.2 160.0 62.0
## 88 77 Male No Radial NSTEMI 44.0 168.0 65.0
## 90 53 Male No Radial STEMI 44.0 168.0 75.0
## 91 63 Female No Radial STEMI 44.0 150.0 55.0
## 92 54 Male No Radial STEMI 44.1 176.0 78.0
## 93 79 Female No Radial NSTEMI 44.1 160.0 65.0
## 94 50 Male No Radial STEMI 44.2 175.0 70.0
## 95 75 Male No Radial NSTEMI 44.3 168.0 60.0
## 96 57 Male No Radial STEMI 44.5 177.0 72.0
## 97 69 Male No Femoral NSTEMI 44.6 163.0 56.0
## 98 55 Male No Radial Unstable Angina 44.8 162.0 58.0
## 99 79 Male No Femoral NSTEMI 44.9 172.0 60.0
## 100 70 Male No Femoral STEMI 45.0 165.0 60.0
## 101 73 Male No Femoral STEMI 45.0 168.0 47.0
## 103 82 Female No Radial Unstable Angina 45.0 150.0 55.0
## 104 44 Male No Femoral Unstable Angina 45.1 180.0 80.0
## 105 61 Male No Femoral STEMI 45.3 162.0 58.0
## 106 80 Female No Femoral STEMI 45.4 150.0 65.0
## 107 70 Female No Radial STEMI 45.4 160.0 60.0
## 109 65 Male No Radial STEMI 45.6 167.0 62.0
## 110 68 Male No Femoral NSTEMI 45.6 177.0 79.0
## 111 70 Male No Radial NSTEMI 45.7 151.0 50.0
## 112 65 Male No Radial Unstable Angina 45.8 162.0 65.0
## 113 51 Male No Radial Unstable Angina 45.9 165.0 59.0
## 114 66 Male Yes Femoral STEMI 46.0 168.0 58.0
## 116 56 Male No Radial STEMI 46.1 167.0 74.0
## 118 78 Female No Femoral NSTEMI 46.4 157.0 60.0
## 119 49 Male No Radial NSTEMI 46.5 162.0 66.0
## 120 84 Female No Radial Unstable Angina 46.6 160.0 60.0
## 121 81 Male No Femoral NSTEMI 46.8 165.0 65.0
## 122 53 Male No Femoral NSTEMI 46.9 165.0 71.0
## 123 77 Male No Radial STEMI 47.0 155.0 60.0
## 124 81 Male No Radial STEMI 47.0 166.0 68.0
## 125 69 Male No Radial STEMI 47.0 175.0 60.0
## 126 48 Female Yes Femoral STEMI 47.0 160.0 60.0
## 127 76 Male No Radial Unstable Angina 47.0 163.0 62.0
## 128 41 Male No Radial STEMI 47.1 170.0 73.0
## 129 68 Male No Radial STEMI 47.2 170.0 60.0
## 130 55 Male No Radial STEMI 47.2 163.0 56.0
## 131 80 Female No Radial NSTEMI 47.3 156.5 67.2
## 132 81 Male No Radial Unstable Angina 47.3 150.0 50.0
## 133 80 Female No Radial STEMI 47.3 156.0 67.2
## 134 61 Male No Radial STEMI 47.4 179.0 76.0
## 135 66 Male No Femoral NSTEMI 47.6 158.0 50.0
## 137 64 Male No Femoral STEMI 47.8 174.0 70.0
## 138 62 Male No Radial STEMI 48.0 167.0 85.0
## 139 72 Female No Femoral STEMI 48.1 163.0 55.0
## 140 72 Female No Femoral STEMI 48.1 160.0 58.0
## 141 74 Female No Femoral NSTEMI 48.1 155.0 56.0
## 142 53 Female No Radial NSTEMI 48.1 160.0 63.0
## 143 51 Male No Radial STEMI 48.2 178.0 70.0
## 144 47 Male No Radial STEMI 48.2 175.0 80.0
## 145 69 Female No Radial NSTEMI 48.2 155.0 55.0
## 146 48 Male No Radial STEMI 48.3 170.0 68.0
## 147 58 Male No Radial NSTEMI 48.3 168.0 76.0
## 148 74 Male No Femoral NSTEMI 48.6 169.0 72.0
## 149 75 Male No Radial NSTEMI 48.6 160.0 58.0
## 150 58 Male No Radial STEMI 48.7 168.0 60.0
## 151 64 Male No Femoral STEMI 48.8 162.0 72.0
## 152 70 Male No Radial STEMI 48.8 176.0 77.0
## 153 69 Female No Radial STEMI 48.9 153.0 63.0
## 154 61 Male No Radial STEMI 48.9 167.0 60.0
## 155 38 Male No Radial Unstable Angina 48.9 166.0 95.0
## 156 44 Male No Radial STEMI 49.0 179.0 93.0
## 157 57 Male No Femoral STEMI 49.0 163.0 63.0
## 158 56 Male No Radial STEMI 49.0 170.0 68.0
## 159 80 Male No Radial NSTEMI 49.0 170.0 62.0
## 160 85 Female No Radial Unstable Angina 49.1 149.0 51.0
## 161 56 Female No Femoral NSTEMI 49.1 155.0 58.0
## 163 84 Female No Radial NSTEMI 49.2 155.0 53.0
## 164 55 Male No Femoral STEMI 49.3 168.0 48.0
## 165 55 Male Yes Femoral STEMI 49.3 168.0 48.0
## 166 54 Male No Radial STEMI 49.5 170.0 78.0
## 167 78 Female No Femoral STEMI 49.5 150.0 42.0
## 168 82 Female No Femoral STEMI 49.7 150.0 42.0
## 169 66 Male No Femoral STEMI 49.7 180.0 67.0
## 170 71 Male No Femoral NSTEMI 49.9 155.0 66.0
## 171 52 Male No Radial STEMI 50.0 173.0 70.0
## 172 57 Male No Femoral NSTEMI 50.0 175.0 84.0
## 173 82 Male No Femoral NSTEMI 50.0 165.0 61.0
## 174 76 Male No Femoral Unstable Angina 50.0 160.0 56.0
## 175 49 Male No Femoral STEMI 50.1 164.0 65.0
## 176 62 Female No Radial NSTEMI 50.1 150.0 46.0
## 177 57 Male No Radial STEMI 50.3 165.0 68.0
## 178 57 Male No Radial NSTEMI 50.3 174.0 67.0
## 179 81 Female No Radial STEMI 50.4 164.0 50.0
## 180 53 Male No Radial STEMI 50.4 176.0 74.0
## 181 72 Male Yes Femoral STEMI 50.5 173.0 74.0
## 182 78 Male No Radial Unstable Angina 50.5 170.0 60.0
## 183 53 Male No Radial Unstable Angina 50.6 157.0 80.0
## 184 63 Female No Radial STEMI 50.8 151.0 52.0
## 185 74 Female Yes Radial STEMI 51.0 149.0 50.0
## 186 54 Male No Radial STEMI 51.0 163.0 72.0
## 187 81 Female No Radial STEMI 51.2 150.0 45.0
## 188 63 Female No Femoral STEMI 51.3 156.0 61.0
## 189 81 Female No Radial Unstable Angina 51.3 145.0 45.0
## 191 69 Female No Femoral STEMI 51.5 158.0 55.0
## 192 58 Male No Femoral STEMI 51.6 170.0 60.0
## 193 70 Female No Femoral Unstable Angina 51.6 150.0 45.0
## 194 56 Male No Femoral STEMI 51.7 172.0 80.0
## 195 63 Male No Femoral STEMI 51.7 165.0 60.0
## 196 54 Female No Radial NSTEMI 51.7 154.0 66.0
## 197 77 Male No Radial Unstable Angina 51.9 165.0 60.0
## 198 55 Male No Radial STEMI 52.0 164.0 60.0
## 199 48 Male No Radial STEMI 52.0 165.0 75.0
## 200 62 Male No Radial STEMI 52.0 170.0 62.0
## 201 65 Male Yes Radial STEMI 52.0 160.0 65.0
## 202 77 Male No Femoral STEMI 52.0 172.0 53.0
## 203 54 Male No Radial STEMI 52.0 175.0 80.0
## 204 38 Male No Radial STEMI 52.1 174.0 90.0
## 205 70 Female No Radial Unstable Angina 52.2 141.0 63.0
## 206 49 Male No Radial STEMI 52.4 177.0 86.0
## 207 69 Female No Radial Unstable Angina 52.4 155.0 60.0
## 208 67 Male No Radial Unstable Angina 52.4 160.0 50.0
## 209 36 Male No Femoral STEMI 52.5 184.0 76.0
## 210 70 Male Yes Radial STEMI 52.6 165.0 60.0
## 211 62 Male No Radial STEMI 52.6 161.0 58.0
## 212 56 Male No Radial STEMI 52.8 165.0 73.0
## 213 51 Male No Femoral STEMI 52.8 176.0 72.0
## 214 64 Female No Femoral NSTEMI 52.9 155.0 58.0
## 215 75 Male No Radial STEMI 53.0 170.0 55.0
## 216 41 Male No Radial Unstable Angina 53.0 171.0 86.0
## 217 53 Male No Radial STEMI 53.0 165.0 70.0
## 218 78 Female No Femoral STEMI 53.0 160.0 70.0
## 219 51 Female No Radial Unstable Angina 53.0 160.0 63.0
## 221 66 Male No Femoral Unstable Angina 53.2 164.0 54.0
## 222 68 Male No Femoral STEMI 53.5 160.0 59.0
## 223 61 Male No Femoral STEMI 53.6 158.0 65.0
## 224 59 Male No Radial NSTEMI 53.6 165.0 68.0
## 225 77 Female No Radial NSTEMI 53.7 155.0 55.0
## 226 49 Female No Radial STEMI 53.8 156.0 46.0
## 227 57 Male No Femoral Unstable Angina 53.8 169.0 55.0
## 228 52 Male No Radial STEMI 54.0 165.0 70.0
## 229 77 Female No Femoral STEMI 54.0 160.0 58.0
## 230 56 Male No Radial STEMI 54.0 169.0 70.0
## 231 46 Female No Radial STEMI 54.0 158.0 57.0
## 232 71 Female No Femoral Unstable Angina 54.0 140.0 47.0
## 233 62 Female No Femoral Unstable Angina 54.0 161.0 66.0
## 234 41 Male No Radial STEMI 54.2 178.0 72.0
## 236 56 Male No Radial NSTEMI 54.2 170.0 71.0
## 237 70 Female No Radial Unstable Angina 54.3 155.0 60.0
## 238 67 Female No Radial STEMI 54.5 155.0 66.0
## 239 70 Female No Radial Unstable Angina 54.6 145.0 45.0
## 240 78 Male No Femoral Unstable Angina 54.6 175.0 74.0
## 241 87 Male No Radial Unstable Angina 54.7 165.0 62.0
## 242 81 Female No Radial STEMI 54.8 160.0 58.0
## 244 56 Male No Radial NSTEMI 54.8 170.0 76.0
## 245 78 Female No Femoral Unstable Angina 54.8 151.0 60.0
## 246 47 Male No Femoral STEMI 54.9 178.0 68.0
## 247 60 Male No Radial STEMI 54.9 183.0 83.0
## 248 69 Male No Femoral Unstable Angina 54.9 164.0 87.0
## 249 61 Male No Radial STEMI 55.0 160.0 65.0
## 250 52 Male No Radial STEMI 55.0 177.0 85.0
## 251 61 Male No Femoral STEMI 55.0 170.0 74.0
## 252 58 Male No Femoral STEMI 55.0 168.0 61.0
## 253 51 Male No Femoral NSTEMI 55.0 160.0 81.0
## 254 58 Male No Radial NSTEMI 55.0 174.0 74.0
## 255 35 Male No Radial Unstable Angina 55.0 170.0 87.0
## 256 71 Male No Radial STEMI 55.1 166.0 60.0
## 257 46 Male No Radial NSTEMI 55.1 165.0 63.0
## 258 40 Male No Femoral Unstable Angina 55.1 175.0 80.0
## 259 57 Male No Radial Unstable Angina 55.1 160.0 70.0
## 260 70 Male No Radial Unstable Angina 55.1 169.0 78.0
## 261 71 Male No Radial STEMI 55.2 165.0 50.0
## 262 45 Female No Femoral Unstable Angina 55.2 150.0 45.0
## 263 43 Male No Radial NSTEMI 55.3 180.0 78.0
## 264 41 Male No Femoral STEMI 55.4 170.0 69.0
## 265 57 Male No Radial Unstable Angina 55.4 153.0 53.0
## 266 74 Male No Femoral Unstable Angina 55.4 165.0 68.0
## 267 60 Male No Radial STEMI 55.5 172.0 85.0
## 268 57 Male No Femoral NSTEMI 55.5 169.0 68.0
## 269 51 Male No Femoral NSTEMI 55.5 178.0 85.0
## 270 37 Male No Femoral STEMI 55.6 174.0 75.0
## 271 90 Female No Radial Unstable Angina 55.6 141.0 52.0
## 272 76 Male Yes Femoral STEMI 55.7 172.0 82.0
## 273 58 Male Yes Radial STEMI 55.7 162.0 60.0
## 274 69 Female No Femoral STEMI 55.7 150.0 65.0
## 275 70 Female No Radial STEMI 55.7 160.0 58.0
## 276 50 Male No Femoral NSTEMI 55.7 170.0 72.0
## 277 74 Male No Radial NSTEMI 55.8 168.0 73.0
## 278 73 Male No Radial Unstable Angina 55.8 175.0 84.0
## 280 60 Male No Radial STEMI 55.9 160.0 50.0
## 281 60 Male No Radial STEMI 55.9 173.0 67.0
## 282 85 Female No Radial STEMI 55.9 154.0 55.0
## 284 72 Male No Radial Unstable Angina 56.0 178.0 70.0
## 285 70 Male No Radial STEMI 56.0 165.0 74.0
## 286 49 Male No Radial Unstable Angina 56.0 177.0 82.0
## 287 70 Male No Radial Unstable Angina 56.0 166.0 67.0
## 288 49 Male No Radial Unstable Angina 56.0 177.0 82.0
## 289 53 Male No Radial Unstable Angina 56.0 174.0 67.0
## 290 74 Female No Femoral Unstable Angina 56.0 150.0 57.0
## 291 49 Male No Femoral NSTEMI 56.0 172.0 74.0
## 292 43 Male No Radial STEMI 56.1 183.0 81.0
## 293 43 Male No Femoral STEMI 56.1 173.0 93.0
## 294 68 Male No Radial Unstable Angina 56.1 162.5 53.3
## 295 68 Male No Radial Unstable Angina 56.1 162.5 53.3
## 296 78 Male No Femoral NSTEMI 56.1 160.0 70.0
## 297 35 Male No Radial STEMI 56.2 171.0 70.0
## 298 52 Male No Femoral Unstable Angina 56.2 170.0 62.0
## 299 58 Male No Femoral Unstable Angina 56.2 165.0 78.0
## 300 67 Male No Radial Unstable Angina 56.2 170.0 62.0
## 301 76 Female No Femoral Unstable Angina 56.2 143.0 48.0
## 302 56 Male No Radial NSTEMI 56.3 163.0 62.0
## 303 55 Male No Radial STEMI 56.3 178.0 81.0
## 304 72 Male No Radial STEMI 56.3 165.0 64.0
## 305 46 Male No Radial NSTEMI 56.3 169.0 55.0
## 306 78 Female No Radial NSTEMI 56.4 149.0 50.0
## 307 58 Male No Femoral STEMI 56.4 160.0 67.0
## 308 58 Male No Femoral Unstable Angina 56.4 174.0 70.0
## 309 62 Male No Radial Unstable Angina 56.4 160.0 60.0
## 310 83 Female No Femoral STEMI 56.5 160.0 65.0
## 311 62 Male No Radial STEMI 56.5 165.0 75.0
## 312 65 Female No Radial STEMI 56.5 158.0 59.0
## 313 50 Male No Radial Unstable Angina 56.5 174.0 78.0
## 314 61 Male No Radial Unstable Angina 56.5 130.0 70.0
## 315 86 Female No Radial Unstable Angina 56.5 155.0 58.0
## 316 52 Male No Radial Unstable Angina 56.5 168.0 79.0
## 317 65 Male No Radial Unstable Angina 56.5 169.0 63.0
## 318 68 Male No Radial Unstable Angina 56.5 164.0 63.0
## 319 46 Male No Radial Unstable Angina 56.6 165.0 71.0
## 320 61 Male No Femoral STEMI 56.6 158.0 50.0
## 321 57 Male No Femoral STEMI 56.7 170.0 89.0
## 322 40 Male No Radial STEMI 56.7 173.0 76.0
## 323 69 Female No Femoral NSTEMI 56.7 158.0 80.0
## 324 71 Female No Radial STEMI 56.8 144.0 45.0
## 325 63 Male No Radial Unstable Angina 56.8 175.0 81.0
## 326 52 Male No Femoral STEMI 56.9 175.0 83.0
## 327 41 Male No Radial Unstable Angina 56.9 178.0 87.0
## 328 55 Male No Femoral STEMI 57.0 175.0 68.0
## 330 77 Male No Femoral Unstable Angina 57.1 168.0 63.0
## 331 67 Female No Radial Unstable Angina 57.2 168.0 52.0
## 332 65 Male No Femoral Unstable Angina 57.2 160.0 63.0
## 333 73 Male No Radial Unstable Angina 57.2 160.0 59.0
## 334 72 Male No Femoral Unstable Angina 57.3 161.0 63.0
## 335 61 Male No Femoral Unstable Angina 57.3 169.0 61.0
## 336 70 Female No Femoral Unstable Angina 57.3 145.0 45.0
## 337 59 Male No Radial Unstable Angina 57.3 159.0 57.0
## 338 59 Male No Radial Unstable Angina 57.3 160.0 70.0
## 339 47 Male No Radial STEMI 57.4 170.0 70.0
## 340 64 Male No Radial STEMI 57.4 168.0 57.0
## 341 44 Male No Femoral STEMI 57.4 180.0 97.0
## 342 53 Female No Radial Unstable Angina 57.4 151.0 58.0
## 343 69 Male No Femoral Unstable Angina 57.6 159.0 66.0
## 344 58 Male No Femoral Unstable Angina 57.6 162.0 73.0
## 345 64 Female No Radial Unstable Angina 57.7 165.0 74.0
## 346 77 Female No Femoral Unstable Angina 57.8 158.0 60.0
## 347 48 Male No Radial Unstable Angina 57.9 171.0 77.0
## 348 62 Male No Radial STEMI 57.9 168.0 73.0
## 349 66 Male No Radial STEMI 58.0 175.0 82.0
## 351 69 Male No Femoral STEMI 58.0 163.0 65.0
## 352 68 Male No Radial STEMI 58.0 165.0 63.0
## 353 41 Male No Radial Unstable Angina 58.0 169.0 70.0
## 354 68 Female No Femoral NSTEMI 58.0 155.0 51.0
## 355 75 Male No Radial NSTEMI 58.0 177.0 73.0
## 356 73 Male No Radial NSTEMI 58.0 165.0 60.0
## 357 56 Male No Radial STEMI 58.1 168.0 65.0
## 358 46 Male Yes Femoral STEMI 58.1 170.0 76.0
## 359 55 Male No Radial STEMI 58.1 163.0 68.0
## 360 61 Male No Femoral STEMI 58.1 168.0 74.0
## 361 68 Female No Radial Unstable Angina 58.1 158.0 60.0
## 362 55 Male No Femoral Unstable Angina 58.1 170.0 70.0
## 363 57 Female No Femoral STEMI 58.2 164.0 68.0
## 364 50 Male No Radial Unstable Angina 58.2 165.0 78.0
## 365 69 Male No Radial Unstable Angina 58.2 173.0 74.0
## 366 44 Male No Radial STEMI 58.3 175.0 90.0
## 367 38 Male No Radial STEMI 58.3 173.0 95.0
## 368 83 Male No Radial STEMI 58.3 165.0 67.0
## 369 70 Male No Radial STEMI 58.3 168.0 70.0
## 370 76 Female No Femoral STEMI 58.4 145.0 56.0
## 371 53 Female No Radial Unstable Angina 58.4 165.0 75.0
## 372 37 Male No Radial NSTEMI 58.4 163.0 66.0
## 373 49 Male No Radial NSTEMI 58.4 158.0 56.0
## 374 57 Male No Radial STEMI 58.5 170.0 75.0
## 375 51 Male No Radial NSTEMI 58.5 169.0 68.0
## 376 64 Male No Radial STEMI 58.6 157.0 64.0
## 377 53 Male No Radial STEMI 58.6 168.0 62.0
## 378 77 Male No Femoral Unstable Angina 58.6 160.0 59.0
## 379 46 Female No Femoral NSTEMI 58.6 155.0 55.0
## 380 65 Female No Radial STEMI 58.7 160.0 67.0
## 381 65 Female No Radial STEMI 58.7 160.0 67.0
## 382 77 Female No Femoral STEMI 58.7 150.0 50.0
## 384 67 Female No Radial Unstable Angina 58.7 150.0 50.0
## 385 37 Male No Radial STEMI 58.8 170.0 106.0
## 386 73 Male No Radial STEMI 58.8 160.0 45.0
## 387 51 Male No Radial NSTEMI 58.8 175.0 69.0
## 388 61 Male No Radial NSTEMI 58.8 164.0 78.0
## 389 71 Male No Femoral NSTEMI 58.8 168.0 70.0
## 390 81 Female No Radial STEMI 58.9 148.0 45.0
## 391 58 Male No Femoral STEMI 58.9 170.0 65.0
## 392 71 Male No Radial Unstable Angina 58.9 172.0 80.0
## 394 64 Female No Radial STEMI 59.0 165.0 71.0
## 395 59 Female No Radial STEMI 59.0 158.0 60.0
## 396 51 Male No Femoral STEMI 59.0 170.0 60.0
## 397 86 Male No Femoral STEMI 59.0 165.0 55.0
## 398 60 Male No Radial Unstable Angina 59.0 163.0 62.0
## 399 60 Female No Femoral Unstable Angina 59.0 151.0 66.0
## 400 71 Female No Femoral Unstable Angina 59.0 154.0 52.0
## 401 56 Male No Radial Unstable Angina 59.0 160.0 62.0
## 402 42 Male No Radial NSTEMI 59.1 172.0 73.0
## 403 68 Male No Femoral Unstable Angina 59.1 177.0 78.0
## 404 46 Female No Radial Unstable Angina 59.1 150.0 60.0
## 406 72 Male No Femoral Unstable Angina 59.1 170.0 56.0
## 407 66 Male No Femoral STEMI 59.2 170.0 65.0
## 408 81 Male No Radial Unstable Angina 59.2 167.0 50.0
## 409 60 Female No Femoral Unstable Angina 59.2 159.0 85.0
## 410 52 Male No Radial STEMI 59.3 163.0 70.0
## 411 75 Female No Radial Unstable Angina 59.3 155.0 55.0
## 412 48 Female No Radial NSTEMI 59.3 158.0 53.0
## 414 78 Female No Radial Unstable Angina 59.3 155.0 57.0
## 415 79 Male No Femoral STEMI 59.4 168.0 60.0
## 416 58 Male No Radial Unstable Angina 59.4 160.0 69.0
## 417 60 Male No Radial Unstable Angina 59.4 174.0 80.0
## 418 64 Male No Radial NSTEMI 59.4 167.0 62.0
## 419 57 Male No Radial NSTEMI 59.4 168.0 73.0
## 420 60 Male No Radial NSTEMI 59.4 167.0 66.0
## 421 72 Male No Radial Unstable Angina 59.5 165.0 78.0
## 422 57 Male No Femoral Unstable Angina 59.5 169.0 75.0
## 423 79 Female No Femoral Unstable Angina 59.5 150.0 55.0
## 424 59 Male No Radial Unstable Angina 59.5 174.0 78.0
## 425 65 Male No Radial Unstable Angina 59.5 167.0 74.0
## 426 61 Male No Radial Unstable Angina 59.5 167.0 68.0
## 427 75 Female No Radial Unstable Angina 59.5 152.0 61.0
## 428 55 Male No Radial NSTEMI 59.6 165.0 52.0
## 429 50 Male No Femoral Unstable Angina 59.6 160.0 67.0
## 431 81 Female No Radial Unstable Angina 59.6 150.0 49.0
## 432 52 Male No Radial Unstable Angina 59.6 163.0 65.0
## 433 55 Male No Radial NSTEMI 59.7 166.0 65.0
## 434 59 Male No Femoral Unstable Angina 59.7 161.0 68.0
## 435 54 Female No Radial Unstable Angina 59.7 154.0 65.0
## 436 72 Male No Radial Unstable Angina 59.7 162.0 64.0
## 437 56 Male No Radial STEMI 59.8 170.0 80.0
## 438 65 Female No Femoral STEMI 59.8 145.0 45.0
## 440 49 Male No Radial Unstable Angina 59.8 180.0 97.0
## 441 51 Male No Femoral NSTEMI 59.8 172.0 70.0
## 442 48 Male Yes Femoral STEMI 59.9 173.0 67.0
## 443 56 Female No Radial Unstable Angina 59.9 159.0 65.0
## 444 65 Male No Femoral Unstable Angina 59.9 168.0 65.0
## 445 68 Male No Radial STEMI 60.0 175.0 75.0
## 446 73 Female No Femoral STEMI 60.0 150.0 44.0
## 447 68 Female No Radial STEMI 60.0 158.0 76.0
## 448 64 Male Yes Radial STEMI 60.0 165.0 63.0
## 449 71 Female No Radial Unstable Angina 60.0 145.0 50.0
## 450 53 Male No Femoral Unstable Angina 60.0 173.0 71.0
## 451 74 Female No Radial Unstable Angina 60.0 140.0 45.0
## 452 58 Male No Radial NSTEMI 60.0 170.0 75.0
## 453 55 Male No Radial Unstable Angina 60.0 167.0 62.0
## 455 48 Male No Femoral STEMI 60.1 164.0 72.0
## 456 75 Male No Radial Unstable Angina 60.1 163.0 50.0
## 457 28 Male No Radial NSTEMI 60.1 168.0 52.0
## 458 62 Female No Radial Unstable Angina 60.1 155.0 60.0
## 459 62 Male No Femoral STEMI 60.2 160.0 50.0
## 460 79 Female Yes Radial STEMI 60.2 155.0 60.0
## 461 53 Male No Radial Unstable Angina 60.2 162.0 68.0
## 462 67 Male No Radial Unstable Angina 60.2 163.0 60.0
## 463 68 Male No Radial Unstable Angina 60.2 173.0 75.0
## 464 70 Female No Radial Unstable Angina 60.2 152.0 56.0
## 465 54 Male No Radial Unstable Angina 60.2 162.0 67.0
## 466 76 Female No Radial Unstable Angina 60.4 155.0 55.0
## 467 47 Male No Radial NSTEMI 60.4 175.0 76.0
## 468 56 Male No Radial NSTEMI 60.5 172.0 61.0
## 469 70 Male No Femoral Unstable Angina 60.5 168.0 65.0
## 470 68 Female No Radial STEMI 60.6 164.0 75.0
## 471 79 Female No Radial Unstable Angina 60.6 148.0 40.0
## 472 47 Male No Femoral NSTEMI 60.6 170.0 78.0
## 473 62 Male Yes Femoral STEMI 60.7 171.0 48.0
## 474 66 Male No Radial Unstable Angina 60.7 169.0 63.0
## 475 48 Male No Radial Unstable Angina 60.7 171.0 62.0
## 476 73 Male No Radial Unstable Angina 60.8 170.0 70.0
## 477 81 Male Yes Radial STEMI 61.0 170.0 77.0
## 478 77 Male No Radial STEMI 61.0 167.0 66.0
## 479 73 Female No Femoral STEMI 61.0 160.0 60.0
## 480 49 Female No Femoral STEMI 61.0 157.0 55.0
## 481 68 Male No Femoral STEMI 61.0 170.0 75.0
## 482 36 Male No Femoral STEMI 61.0 178.0 68.0
## 483 65 Female No Radial Unstable Angina 61.0 164.0 62.0
## 484 75 Male No Radial Unstable Angina 61.0 165.0 72.0
## 485 50 Male No Radial Unstable Angina 61.0 170.0 60.0
## 486 75 Male No Radial Unstable Angina 61.0 165.0 72.0
## 487 73 Female No Femoral Unstable Angina 61.0 152.0 57.0
## 490 43 Female No Radial Unstable Angina 61.0 164.0 56.0
## 491 57 Male No Radial Unstable Angina 61.0 168.0 72.0
## 492 55 Male No Radial Unstable Angina 61.0 168.0 82.0
## 493 81 Male No Radial STEMI 61.0 170.0 77.0
## 494 55 Male No Femoral STEMI 61.1 176.0 90.0
## 495 59 Male No Radial Unstable Angina 61.2 175.0 78.0
## 496 79 Female No Radial Unstable Angina 61.2 140.0 45.0
## 497 58 Male No Radial Unstable Angina 61.2 166.0 63.0
## 498 63 Female No Femoral NSTEMI 61.3 153.0 90.0
## 499 58 Male Yes Radial STEMI 61.3 161.0 66.0
## 500 63 Female Yes Femoral STEMI 61.3 159.0 63.0
## 501 52 Male No Radial STEMI 61.3 163.0 64.0
## 502 64 Female No Radial Unstable Angina 61.3 155.0 46.0
## 503 62 Male No Radial NSTEMI 61.3 165.0 72.0
## 504 67 Male No Radial STEMI 61.4 163.0 66.0
## 505 65 Male No Radial NSTEMI 61.4 173.0 67.0
## 506 51 Male No Femoral Unstable Angina 61.4 173.0 79.0
## 507 48 Female No Radial STEMI 61.5 165.0 58.0
## 510 78 Male No Femoral NSTEMI 61.5 178.0 73.0
## 511 75 Male No Radial STEMI 61.6 162.0 45.0
## 512 61 Female No Radial STEMI 61.6 155.0 75.0
## 513 45 Male No Radial STEMI 61.6 166.0 70.0
## 514 55 Female No Femoral NSTEMI 61.6 153.0 62.0
## 515 42 Male No Radial NSTEMI 61.6 163.0 71.0
## 516 82 Female No Femoral NSTEMI 61.7 150.0 50.0
## 517 53 Male No Radial NSTEMI 61.7 164.0 70.0
## 518 49 Female No Radial Unstable Angina 61.7 162.0 67.0
## 519 75 Female No Radial STEMI 61.8 157.0 61.0
## 520 79 Female No Femoral NSTEMI 61.8 140.0 66.0
## 521 47 Female No Radial STEMI 61.8 153.0 70.0
## 522 83 Female No Radial NSTEMI 61.8 149.0 49.0
## 523 78 Male No Radial NSTEMI 61.8 165.0 70.0
## 524 82 Female No Femoral NSTEMI 61.8 158.0 65.0
## 525 80 Female No Femoral STEMI 61.9 156.0 57.0
## 526 80 Female No Femoral STEMI 61.9 156.0 57.0
## 527 58 Male No Radial NSTEMI 61.9 177.0 79.0
## 528 69 Female No Femoral NSTEMI 61.9 158.0 64.0
## 529 67 Male No Radial STEMI 62.0 165.0 56.0
## 530 51 Male No Radial STEMI 62.0 170.0 95.0
## 531 62 Male No Radial STEMI 62.0 170.0 80.0
## 533 59 Male No Radial NSTEMI 62.0 168.0 75.0
## 534 44 Female No Radial Unstable Angina 62.0 150.0 51.0
## 535 56 Male No Radial Unstable Angina 62.0 170.0 75.0
## 536 49 Male No Radial Unstable Angina 62.0 172.0 68.0
## 537 59 Male No Radial NSTEMI 62.2 172.0 86.0
## 538 48 Female No Radial Unstable Angina 62.2 153.0 51.0
## 539 47 Female No Radial Unstable Angina 62.2 160.0 58.0
## 540 56 Male No Radial Unstable Angina 62.2 174.0 83.0
## 541 81 Male No Radial STEMI 62.3 172.0 55.0
## 542 51 Female No Femoral STEMI 62.4 161.0 63.0
## 543 85 Female No Radial Unstable Angina 62.4 130.0 30.0
## 544 74 Male No Radial Unstable Angina 62.4 163.0 71.0
## 545 50 Female No Radial Unstable Angina 62.4 152.0 60.0
## 546 56 Female No Femoral Unstable Angina 62.5 157.0 58.0
## 547 64 Male No Radial Unstable Angina 62.6 162.0 80.0
## 548 55 Female No Femoral Unstable Angina 62.6 154.0 72.0
## 549 50 Male No Radial NSTEMI 62.6 168.0 63.0
## 550 84 Male No Femoral STEMI 62.7 168.0 79.0
## 551 64 Male No Radial Unstable Angina 62.7 163.0 62.0
## 552 70 Male No Radial NSTEMI 62.7 165.0 65.0
## 553 68 Female No Radial Unstable Angina 62.7 148.0 52.0
## 554 48 Male No Radial Unstable Angina 62.8 164.0 60.0
## 555 61 Male No Radial Unstable Angina 62.8 165.0 67.0
## 556 49 Female No Femoral Unstable Angina 62.8 150.0 48.0
## 557 55 Male No Femoral NSTEMI 62.9 164.0 73.0
## 559 78 Male No Radial STEMI 63.0 160.0 58.0
## 560 87 Female No Femoral Unstable Angina 63.0 140.0 42.0
## 561 75 Male No Femoral Unstable Angina 63.0 153.0 63.0
## 562 76 Female No Radial Unstable Angina 63.0 153.0 50.0
## 563 66 Male No Femoral Unstable Angina 63.0 168.0 61.0
## 564 80 Male No Radial Unstable Angina 63.0 170.0 78.0
## 565 52 Female No Femoral Unstable Angina 63.0 158.0 60.0
## 566 70 Female No Femoral STEMI 63.1 153.0 43.0
## 567 52 Male No Radial STEMI 63.1 172.0 76.0
## 568 75 Female No Radial Unstable Angina 63.1 144.0 39.0
## 569 51 Male No Radial Unstable Angina 63.2 168.0 62.0
## 570 41 Male No Radial STEMI 63.3 163.0 64.0
## 571 64 Female No Radial NSTEMI 63.3 155.0 62.0
## 572 62 Female No Radial STEMI 63.4 156.0 52.0
## 573 70 Female No Radial STEMI 63.4 160.0 62.0
## 574 63 Female Yes Femoral STEMI 63.4 150.0 66.0
## 575 67 Female No Radial Unstable Angina 63.4 147.0 51.0
## 576 80 Female No Radial NSTEMI 63.4 158.0 51.0
## 577 80 Female No Radial Unstable Angina 63.4 148.0 57.0
## 578 49 Female No Femoral Unstable Angina 63.5 159.0 63.0
## 580 49 Male No Radial Unstable Angina 63.5 170.0 68.0
## 581 72 Male No Femoral Unstable Angina 63.5 160.0 58.0
## 582 79 Female No Femoral NSTEMI 63.6 154.0 61.0
## 583 78 Female No Femoral Unstable Angina 63.6 145.0 58.0
## 584 54 Male No Radial NSTEMI 63.7 175.0 74.0
## 585 65 Male No Radial Unstable Angina 63.7 170.0 77.0
## 586 62 Male No Femoral Unstable Angina 63.7 182.0 66.0
## 587 62 Male No Radial Unstable Angina 63.7 168.0 64.0
## 588 70 Male Yes Femoral STEMI 63.8 172.0 72.0
## 589 67 Male No Radial Unstable Angina 63.8 166.0 45.0
## 590 75 Female No Radial NSTEMI 63.8 153.0 55.0
## 591 67 Male No Radial Unstable Angina 63.8 166.0 45.0
## 592 69 Male No Radial NSTEMI 63.8 158.0 65.0
## 594 54 Male No Femoral Unstable Angina 63.8 151.0 68.0
## 595 62 Male No Radial Unstable Angina 63.9 172.0 76.0
## 596 65 Female No Femoral Unstable Angina 63.9 150.0 43.0
## 597 78 Female No Radial Unstable Angina 63.9 150.0 40.0
## 598 57 Male No Radial NSTEMI 64.0 163.0 55.0
## 599 51 Male No Radial NSTEMI 64.0 176.0 80.0
## 600 74 Male No Radial NSTEMI 64.0 168.0 70.0
## 601 78 Female No Radial Unstable Angina 64.0 155.0 60.0
## 602 71 Female No Femoral Unstable Angina 64.0 150.0 48.0
## 603 65 Female No Radial NSTEMI 64.0 161.0 51.0
## 604 85 Male No Radial Unstable Angina 64.1 171.0 60.0
## 605 44 Male No Radial Unstable Angina 64.2 176.0 73.0
## 606 54 Male No Radial Unstable Angina 64.2 170.0 66.0
## 607 73 Female No Radial Unstable Angina 64.2 165.0 62.0
## 608 53 Male No Femoral Unstable Angina 64.2 160.0 63.0
## 609 59 Male No Femoral Unstable Angina 64.2 170.0 85.0
## 610 68 Female No Radial Unstable Angina 64.3 154.0 76.0
## 611 49 Male No Radial Unstable Angina 64.3 185.0 100.0
## 612 59 Male No Radial Unstable Angina 64.3 174.0 67.0
## 613 65 Male No Radial NSTEMI 64.3 160.0 70.8
## 614 75 Female No Radial Unstable Angina 64.3 158.0 67.0
## 615 74 Female No Femoral STEMI 64.5 150.0 59.0
## 616 67 Female No Radial Unstable Angina 64.5 165.0 66.0
## 617 57 Female No Femoral Unstable Angina 64.5 150.0 65.0
## 618 51 Female No Femoral Unstable Angina 64.6 164.0 42.0
## 619 51 Female No Femoral NSTEMI 64.6 164.0 42.0
## 620 45 Male No Femoral STEMI 64.7 174.0 74.0
## 621 61 Male No Radial Unstable Angina 64.8 170.0 72.0
## 622 66 Male No Femoral Unstable Angina 64.8 167.0 71.0
## 623 53 Female No Radial Unstable Angina 64.8 150.0 53.0
## 624 66 Male No Radial Unstable Angina 64.8 168.0 69.0
## 625 65 Male No Femoral STEMI 64.9 169.0 68.0
## 626 62 Female No Femoral STEMI 64.9 158.0 67.0
## 627 68 Male No Radial NSTEMI 65.0 159.0 59.0
## 629 60 Male No Radial STEMI 65.0 168.0 70.0
## 630 65 Male No Femoral Unstable Angina 65.0 167.0 55.0
## 631 80 Female No Radial NSTEMI 65.0 140.0 40.0
## 632 73 Female No Radial Unstable Angina 65.0 151.0 60.0
## 633 64 Male No Radial NSTEMI 65.0 168.0 69.0
## 634 70 Female No Femoral Unstable Angina 65.0 140.0 56.0
## 635 41 Male No Radial Unstable Angina 65.0 152.0 50.0
## 636 70 Female No Femoral Unstable Angina 65.2 151.0 55.0
## 637 57 Female No Femoral Unstable Angina 65.3 151.0 94.0
## 638 71 Female No Radial Unstable Angina 65.3 148.0 55.0
## 639 77 Male No Radial STEMI 65.4 167.0 55.0
## 640 69 Female No Femoral Unstable Angina 65.4 151.0 67.0
## 641 58 Male No Femoral Unstable Angina 65.4 160.0 66.0
## 642 68 Male No Radial Unstable Angina 65.5 169.0 80.0
## 643 74 Female No Femoral Unstable Angina 65.5 160.0 55.0
## 644 67 Male No Radial Unstable Angina 65.6 173.0 81.0
## 645 51 Male Yes Radial STEMI 65.7 168.0 70.0
## 646 60 Male No Radial Unstable Angina 65.7 167.0 78.0
## 647 60 Male No Radial Unstable Angina 65.7 167.0 78.0
## 648 66 Female No Radial Unstable Angina 65.8 158.0 63.0
## 649 88 Female No Femoral NSTEMI 65.8 150.0 50.0
## 650 63 Male No Radial NSTEMI 65.9 160.0 70.0
## 651 88 Male No Radial Unstable Angina 66.0 168.0 55.0
## 652 40 Male No Femoral NSTEMI 66.0 168.0 62.0
## 653 52 Male No Radial Unstable Angina 66.0 178.0 99.0
## 654 65 Female No Radial Unstable Angina 66.0 151.0 57.0
## 655 79 Female No Radial Unstable Angina 66.0 154.0 63.0
## 656 73 Male No Femoral Unstable Angina 66.1 160.0 60.0
## 657 53 Female No Femoral Unstable Angina 66.1 150.0 61.0
## 658 74 Female No Femoral Unstable Angina 66.2 153.0 55.0
## 659 61 Male No Radial Unstable Angina 66.2 183.0 112.0
## 660 56 Male No Radial Unstable Angina 66.3 176.0 70.0
## 661 75 Female No Radial Unstable Angina 66.3 158.0 60.0
## 662 72 Female No Radial Unstable Angina 66.3 153.0 45.0
## 663 56 Male No Radial Unstable Angina 66.4 166.0 55.0
## 664 68 Male No Femoral Unstable Angina 66.4 163.0 59.0
## 665 48 Male No Radial Unstable Angina 66.4 161.0 57.0
## 666 41 Male No Radial Unstable Angina 66.4 163.0 57.0
## 667 87 Male No Radial Unstable Angina 66.4 168.0 55.0
## 669 64 Female No Radial Unstable Angina 66.5 160.0 62.0
## 670 69 Male No Femoral NSTEMI 66.7 179.0 70.0
## 671 73 Male No Radial Unstable Angina 66.7 170.0 76.0
## 672 55 Male Yes Femoral STEMI 66.9 178.0 65.0
## 673 79 Male No Radial Unstable Angina 66.9 169.0 77.0
## 674 68 Male No Radial Unstable Angina 66.9 165.0 67.0
## 675 68 Male No Radial Unstable Angina 66.9 165.0 65.0
## 676 65 Female No Femoral STEMI 67.0 158.0 64.0
## 677 58 Male No Radial Unstable Angina 67.0 167.0 67.0
## 678 72 Male No Femoral Unstable Angina 67.0 164.0 50.0
## 679 68 Male No Radial Unstable Angina 67.0 180.0 82.0
## 680 70 Female Yes Femoral STEMI 67.1 150.0 44.0
## 681 41 Male No Radial NSTEMI 67.1 175.0 92.0
## 682 44 Male No Radial STEMI 67.2 173.0 69.0
## 683 67 Male No Radial Unstable Angina 67.2 169.0 69.0
## 684 61 Male No Radial Unstable Angina 67.2 160.0 67.0
## 685 51 Male No Radial Unstable Angina 67.2 167.0 73.0
## 686 64 Male No Radial Unstable Angina 67.4 155.0 53.0
## 688 56 Male No Femoral Unstable Angina 67.5 166.0 76.0
## 689 74 Female No Radial Unstable Angina 67.6 155.0 61.0
## 690 75 Female No Radial Unstable Angina 67.7 140.0 50.0
## 692 67 Female No Femoral Unstable Angina 68.0 160.0 60.0
## 693 77 Female No Radial Unstable Angina 68.0 157.0 57.0
## 694 52 Male No Radial Unstable Angina 68.0 169.0 69.0
## 695 39 Female No Radial Unstable Angina 68.2 159.0 54.0
## 697 52 Female No Femoral Unstable Angina 68.4 148.0 60.0
## 698 41 Male No Radial Unstable Angina 68.6 180.0 84.0
## 699 66 Male No Femoral NSTEMI 69.0 170.0 67.0
## 700 67 Male No Radial Unstable Angina 69.1 170.0 51.0
## 701 46 Male No Radial Unstable Angina 69.7 165.0 71.0
## 702 68 Male No Femoral Unstable Angina 69.9 170.0 54.0
## 703 71 Female No Femoral Unstable Angina 70.0 145.0 58.0
## 705 73 Female No Radial Unstable Angina 70.0 148.0 51.0
## 706 83 Female No Radial Unstable Angina 70.2 145.0 60.0
## 707 76 Female No Radial Unstable Angina 70.2 150.0 70.0
## 708 68 Female No Radial Unstable Angina 71.1 158.0 56.0
## 709 51 Male No Radial Unstable Angina 71.5 175.0 70.0
## 710 61 Male No Radial Unstable Angina 71.6 165.0 74.0
## 711 61 Male No Radial Unstable Angina 71.9 165.0 55.0
## 712 66 Female No Femoral Unstable Angina 71.9 160.0 60.0
## 713 47 Male No Radial NSTEMI 72.0 170.0 67.0
## 715 59 Male No Radial Unstable Angina 73.0 170.0 64.0
## 717 77 Male No Radial Unstable Angina 74.0 172.0 76.0
## 718 62 Male No Femoral NSTEMI 74.0 163.0 74.0
## 719 62 Female No Radial NSTEMI 75.0 160.0 68.0
## 720 40 Male No Femoral Unstable Angina 78.1 169.0 74.0
## 721 40 Male No Femoral Unstable Angina 78.1 169.0 74.0
## 722 91 Male No Radial Unstable Angina 79.0 170.0 60.0
## BMI obesity TC LDLC HDLC TG DM HBP smoking
## 1 25.51020 Yes 215.0 154 35 155 Yes No Smoker
## 4 18.36547 No 121.0 73 20 89 No No Never
## 5 24.38653 No 195.0 151 36 63 Yes Yes Smoker
## 6 25.20398 Yes 184.0 112 38 137 Yes Yes Never
## 7 27.96802 Yes 161.0 91 34 196 Yes Yes Ex-smoker
## 8 19.53125 No 136.0 88 33 30 Yes Yes Ex-smoker
## 9 28.99931 Yes 239.0 161 34 118 Yes Yes Never
## 10 21.25850 No 169.0 88 54 141 Yes No Smoker
## 11 19.59184 No 272.0 212 32 52 Yes No Ex-smoker
## 12 25.88757 Yes 184.0 123 43 72 Yes Yes Never
## 13 23.79536 No 239.0 150 42 156 Yes Yes Never
## 14 22.66667 No 171.0 94 46 120 Yes No Never
## 15 19.62826 No 130.0 78 31 139 No No Ex-smoker
## 17 23.37258 No 169.0 114 35 63 Yes Yes Smoker
## 19 23.18367 No 173.0 107 32 115 No Yes Smoker
## 20 36.52301 Yes 201.0 122 42 77 No No Ex-smoker
## 21 22.72044 No 125.0 53 55 30 Yes Yes Smoker
## 22 19.43301 No 108.0 57 41 30 No Yes Smoker
## 23 24.60973 No 151.0 87 40 117 No No Ex-smoker
## 24 23.78121 No 233.0 139 44 95 No Yes Never
## 25 24.22145 No 164.0 114 35 66 No No Smoker
## 26 18.73049 No 174.0 86 37 183 Yes Yes Never
## 27 23.14050 No 225.0 151 32 148 No No Smoker
## 28 23.30668 No 148.0 94 37 56 Yes Yes Smoker
## 30 21.22281 No 208.0 152 36 47 Yes No Smoker
## 31 19.97919 No 188.0 118 53 52 No No Smoker
## 32 23.14050 No 185.0 92 66 71 Yes Yes Never
## 33 27.34375 Yes 214.0 145 45 99 No Yes Ex-smoker
## 34 20.24490 No 181.0 120 41 76 Yes Yes Smoker
## 35 25.51020 Yes 159.0 89 31 115 No Yes Smoker
## 36 20.57613 No 127.0 61 33 76 No No Ex-smoker
## 37 21.35931 No 212.0 147 48 83 No No Never
## 38 20.19509 No 250.0 162 68 95 No No Ex-smoker
## 39 18.08021 No 132.0 74 29 156 No No Never
## 40 26.21882 Yes 195.0 125 48 89 Yes Yes Never
## 41 31.22130 Yes 272.0 196 56 58 No Yes Smoker
## 42 31.11111 Yes 131.0 86 21 102 Yes Yes Never
## 43 24.80159 No 105.0 265 35 126 Yes No Smoker
## 44 25.34435 Yes 140.0 77 45 122 Yes Yes Never
## 45 23.87543 No 133.0 82 21 92 No Yes Ex-smoker
## 46 25.52964 Yes 198.0 133 42 54 No Yes Never
## 47 25.59374 Yes 276.0 169 33 233 Yes Yes Smoker
## 48 29.21841 Yes 117.0 60 24 160 Yes Yes Never
## 49 21.09375 No 86.0 42 19 78 No Yes Ex-smoker
## 50 18.59012 No 159.0 64 62 29 No Yes Never
## 51 21.82995 No 223.0 89 31 416 Yes Yes Smoker
## 52 19.84127 No 165.0 112 42 107 No Yes Never
## 53 32.56189 Yes 208.0 140 25 243 No No Smoker
## 54 25.24934 Yes 195.0 147 37 88 No No Smoker
## 55 22.77319 No 134.0 82 40 67 Yes Yes Never
## 56 27.54821 Yes 194.0 147 30 60 No Yes Never
## 57 24.97399 No 187.0 108 35 209 Yes Yes Never
## 58 21.96712 No 164.0 103 34 101 No No Smoker
## 59 24.44444 No 176.0 79 54 134 Yes Yes Never
## 60 27.54821 Yes 186.0 133 47 67 No Yes Smoker
## 61 20.79673 No 125.0 27 75 37 No No Never
## 62 21.97134 No 165.0 110 45 29 No No Smoker
## 63 26.83865 Yes 223.0 143 48 115 Yes No Smoker
## 64 25.95156 Yes 140.0 89 28 85 Yes Yes Smoker
## 65 19.47341 No 212.0 125 48 88 No No Never
## 66 22.06035 No 189.0 107 49 89 No No Never
## 67 27.34375 Yes 174.0 127 21 177 Yes Yes Never
## 68 22.67574 No 154.0 81 31 36 Yes Yes Smoker
## 69 26.98962 Yes 231.0 167 41 90 No No Ex-smoker
## 70 24.74094 No 309.0 222 48 182 No No Never
## 71 20.02884 No 175.0 95 46 37 No Yes Ex-smoker
## 73 18.36900 No 208.0 154 37 112 Yes No Never
## 74 22.32143 No 221.0 155 56 58 No No Smoker
## 75 20.70082 No 154.0 87 48 67 No Yes Never
## 76 21.48438 No 221.0 166 51 71 No No Smoker
## 77 20.90420 No 221.0 147 47 127 No Yes Smoker
## 78 24.16716 No 152.0 114 16 16 No No Ex-smoker
## 79 22.03857 No 127.0 70 42 61 No Yes Ex-smoker
## 80 18.90204 No 126.0 71 27 84 Yes Yes Never
## 81 22.83288 No 166.0 112 38 76 No Yes Never
## 82 21.41094 No 126.0 72 24 94 No Yes Never
## 83 22.66667 No 195.0 131 36 140 Yes Yes Never
## 84 25.24934 Yes 174.0 115 19 151 Yes No Smoker
## 85 18.01721 No 99.0 68 24 82 No No Never
## 86 24.21875 No 178.0 92 68 42 No Yes Never
## 88 23.03005 No 185.0 141 26 96 No No Smoker
## 90 26.57313 Yes 248.0 155 40 138 No No Smoker
## 91 24.44444 No 246.0 141 7 70 Yes Yes Ex-smoker
## 92 25.18079 Yes 231.0 95 58 93 No Yes Ex-smoker
## 93 25.39062 Yes 160.0 100 31 119 Yes Yes Never
## 94 22.85714 No 202.0 34 14 106 No No Smoker
## 95 21.25850 No 140.0 85 25 142 No Yes Smoker
## 96 22.98190 No 196.0 96 28 446 No No Smoker
## 97 21.07720 No 225.0 64 77 91 No Yes Smoker
## 98 22.10029 No 258.0 195 41 97 Yes No Smoker
## 99 20.28123 No 173.0 123 28 76 No Yes Ex-smoker
## 100 22.03857 No 227.0 154 35 108 Yes Yes Never
## 101 16.65249 No 154.0 102 37 44 No No Smoker
## 103 24.44444 No 141.0 65 38 44 No Yes Ex-smoker
## 104 24.69136 No 103.0 52 31 68 Yes Yes Smoker
## 105 22.10029 No 251.0 161 55 109 Yes Yes Never
## 106 28.88889 Yes 88.0 29 38 80 No Yes Never
## 107 23.43750 No 89.0 36 34 120 No Yes Never
## 109 22.23099 No 178.0 131 45 27 No Yes Ex-smoker
## 110 25.21625 Yes 139.0 90 38 74 No Yes Ex-smoker
## 111 21.92886 No 164.0 102 35 92 No No Smoker
## 112 24.76757 No 209.0 140 36 212 Yes Yes Ex-smoker
## 113 21.67126 No 234.0 153 56 109 No No Smoker
## 114 20.54989 No 126.0 63 48 62 Yes Yes Ex-smoker
## 116 26.53376 Yes 164.0 111 38 91 Yes Yes Smoker
## 118 24.34176 No 174.0 103 10 129 No Yes Ex-smoker
## 119 25.14861 Yes 179.0 119 31 120 No Yes Never
## 120 23.43750 No 25.0 96 10 26 No No Smoker
## 121 23.87511 No 164.0 109 33 40 No Yes Smoker
## 122 26.07897 Yes 184.0 124 29 414 Yes No Smoker
## 123 24.97399 No 180.0 132 40 60 Yes Yes Ex-smoker
## 124 24.67702 No 278.0 188 37 146 Yes Yes Ex-smoker
## 125 19.59184 No 143.0 91 33 50 No No Smoker
## 126 23.43750 No 222.0 161 40 118 No No Never
## 127 23.33547 No 160.0 81 41 166 No No Ex-smoker
## 128 25.25952 Yes 258.0 189 36 66 Yes No Smoker
## 129 20.76125 No 221.0 108 44 178 Yes Yes Never
## 130 21.07720 No 277.0 194 40 154 No Yes Smoker
## 131 27.43725 Yes 212.0 128 50 45 No Yes Never
## 132 22.22222 No 151.0 96 43 39 No No Smoker
## 133 27.61341 Yes 165.0 105 39 85 No Yes Never
## 134 23.71961 No 172.0 116 35 58 Yes No Ex-smoker
## 135 20.02884 No 166.0 98 39 113 Yes No Smoker
## 137 23.12062 No 210.0 153 44 54 No No Never
## 138 30.47797 Yes 197.0 131 42 143 No Yes Smoker
## 139 20.70082 No 148.0 84 37 103 No Yes Never
## 140 22.65625 No 159.0 91 45 67 No Yes Never
## 141 23.30905 No 315.0 205 75 80 Yes Yes Never
## 142 24.60938 No 210.0 167 27 130 No No Smoker
## 143 22.09317 No 160.0 112 32 142 No No Never
## 144 26.12245 Yes 208.0 151 41 224 No Yes Smoker
## 145 22.89282 No 165.0 83 50 63 Yes No Never
## 146 23.52941 No 181.0 113 38 33 No No Smoker
## 147 26.92744 Yes 199.0 132 38 211 No No Ex-smoker
## 148 25.20920 Yes 207.0 146 30 101 Yes No Ex-smoker
## 149 22.65625 No 143.0 94 24 92 No Yes Ex-smoker
## 150 21.25850 No 195.0 144 30 66 No Yes Smoker
## 151 27.43484 Yes 185.0 91 68 78 No Yes Ex-smoker
## 152 24.85795 No 145.0 98 36 38 No No Never
## 153 26.91273 Yes 205.0 112 44 75 Yes No Smoker
## 154 21.51386 No 201.0 76 31 55 Yes No Never
## 155 34.47525 Yes 116.0 47 50 129 Yes Yes Smoker
## 156 29.02531 Yes 134.0 71 39 96 Yes No Ex-smoker
## 157 23.71184 No 205.0 136 48 117 No No Never
## 158 23.52941 No 239.0 15 41 78 Yes Yes Smoker
## 159 21.45329 No 169.0 108 44 55 No Yes Ex-smoker
## 160 22.97194 No 139.0 76 33 76 No Yes Never
## 161 24.14152 No 242.0 172 32 302 Yes Yes Never
## 163 22.06035 No 278.0 185 45 210 No Yes Never
## 164 17.00680 No 113.0 79 14 47 No No Smoker
## 165 17.00680 No 113.0 79 14 47 No No Smoker
## 166 26.98962 Yes 216.0 143 41 138 No No Ex-smoker
## 167 18.66667 No 184.0 125 42 25 Yes Yes Never
## 168 18.66667 No 123.0 71 27 73 No No Smoker
## 169 20.67901 No 141.0 98 32 54 Yes Yes Ex-smoker
## 170 27.47138 Yes 202.0 130 37 134 No Yes Ex-smoker
## 171 23.38869 No 202.0 157 45 40 No No Ex-smoker
## 172 27.42857 Yes 180.0 107 42 130 No Yes Smoker
## 173 22.40588 No 182.0 125 36 74 Yes Yes Ex-smoker
## 174 21.87500 No 228.0 181 29 66 No Yes Smoker
## 175 24.16716 No 155.0 82 59 77 Yes No Ex-smoker
## 176 20.44444 No 153.0 101 32 113 Yes Yes Ex-smoker
## 177 24.97704 No 236.0 173 10 77 Yes No Smoker
## 178 22.12974 No 181.0 110 51 49 No No Ex-smoker
## 179 18.59012 No 168.0 107 41 69 No No Never
## 180 23.88946 No 245.0 166 50 128 No No Never
## 181 24.72518 No 218.0 147 47 120 No Yes Ex-smoker
## 182 20.76125 No 169.0 92 10 142 No No Ex-smoker
## 183 32.45568 Yes 199.0 129 32 257 Yes Yes Smoker
## 184 22.80602 No 222.0 161 42 120 No Yes Ex-smoker
## 185 22.52151 No 203.0 141 38 57 Yes No Ex-smoker
## 186 27.09925 Yes 187.0 123 47 192 No Yes Smoker
## 187 20.00000 No 209.0 156 42 84 No Yes Never
## 188 25.06575 Yes 190.0 128 43 126 No Yes Ex-smoker
## 189 21.40309 No 256.0 166 8 64 No Yes Never
## 191 22.03173 No 152.0 79 51 108 No No Smoker
## 192 20.76125 No 212.0 149 33 120 No Yes Smoker
## 193 20.00000 No 323.0 220 50 184 Yes Yes Never
## 194 27.04164 Yes 192.0 136 32 106 Yes Yes Never
## 195 22.03857 No 146.0 99 33 78 No Yes Ex-smoker
## 196 27.82931 Yes 227.0 132 47 111 Yes Yes Never
## 197 22.03857 No 189.0 127 41 68 No No Smoker
## 198 22.30815 No 169.0 118 28 156 No No Smoker
## 199 27.54821 Yes 200.0 134 34 217 Yes No Smoker
## 200 21.45329 No 235.0 180 40 90 No No Ex-smoker
## 201 25.39062 Yes 168.0 118 40 24 Yes Yes Smoker
## 202 17.91509 No 168.0 111 36 76 No Yes Ex-smoker
## 203 26.12245 Yes 230.0 151 40 201 No No Smoker
## 204 29.72652 Yes 188.0 142 29 110 No No Smoker
## 205 31.68855 Yes 152.0 93 29 135 No Yes Never
## 206 27.45060 Yes 193.0 141 30 203 No No Smoker
## 207 24.97399 No 153.0 92 35 84 No No Never
## 208 19.53125 No 144.0 75 50 44 No No Smoker
## 209 22.44802 No 215.0 159 30 164 No No Smoker
## 210 22.03857 No 143.0 91 39 44 Yes Yes Ex-smoker
## 211 22.37568 No 189.0 128 40 115 No No Smoker
## 212 26.81359 Yes 157.0 99 41 105 Yes No Never
## 213 23.24380 No 183.0 120 11 71 No No Smoker
## 214 24.14152 No 251.0 141 50 136 No Yes Ex-smoker
## 215 19.03114 No 184.0 129 32 101 No Yes Ex-smoker
## 216 29.41076 Yes 33.0 103 10 110 No No Smoker
## 217 25.71166 Yes 208.0 148 28 38 No No Smoker
## 218 27.34375 Yes 246.0 163 53 80 No Yes Never
## 219 24.60938 No 184.0 130 39 65 No Yes Never
## 221 20.07733 No 96.0 60 24 80 Yes Yes Never
## 222 23.04688 No 226.0 162 45 55 No Yes Never
## 223 26.03749 Yes 151.0 79 52 60 No Yes Ex-smoker
## 224 24.97704 No 155.0 74 43 109 Yes No Ex-smoker
## 225 22.89282 No 231.0 130 43 178 Yes Yes Never
## 226 18.90204 No 159.0 71 47 172 Yes Yes Never
## 227 19.25703 No 227.0 170 34 108 No Yes Smoker
## 228 25.71166 Yes 262.0 205 26 154 No No Smoker
## 229 22.65625 No 148.0 87 39 78 No Yes Ex-smoker
## 230 24.50895 No 166.0 119 33 83 No Yes Never
## 231 22.83288 No 289.0 224 44 81 Yes No Smoker
## 232 23.97959 No 203.0 157 39 79 Yes Yes Never
## 233 25.46198 Yes 128.0 74 35 75 No No Never
## 234 22.72440 No 147.0 77 42 71 No No Smoker
## 236 24.56747 No 200.0 166 38 176 No Yes Smoker
## 237 24.97399 No 229.0 154 51 121 Yes Yes Never
## 238 27.47138 Yes 175.0 104 59 24 No Yes Ex-smoker
## 239 21.40309 No 199.0 107 60 119 No Yes Never
## 240 24.16327 No 164.0 87 36 54 Yes Yes Ex-smoker
## 241 22.77319 No 137.0 81 39 46 Yes Yes Ex-smoker
## 242 22.65625 No 166.0 104 46 48 No No Ex-smoker
## 244 26.29758 Yes 222.0 149 36 135 No No Smoker
## 245 26.31464 Yes 163.0 90 41 177 No No Ex-smoker
## 246 21.46194 No 190.0 129 29 118 No No Smoker
## 247 24.78426 No 150.0 79 47 174 Yes No Smoker
## 248 32.34682 Yes 144.0 98 37 62 Yes Yes Ex-smoker
## 249 25.39062 Yes 217.0 170 33 49 No No Smoker
## 250 27.13141 Yes 214.0 132 43 194 Yes No Ex-smoker
## 251 25.60554 Yes 143.0 83 20 163 No No Smoker
## 252 21.61281 No 170.0 116 50 48 No No Smoker
## 253 31.64062 Yes 213.0 76 36 489 No Yes Smoker
## 254 24.44180 No 178.0 104 39 263 Yes Yes Smoker
## 255 30.10381 Yes 210.0 145 38 169 No No Smoker
## 256 21.77384 No 178.0 121 29 115 No No Smoker
## 257 23.14050 No 195.0 128 36 136 No No Smoker
## 258 26.12245 Yes 248.0 158 37 240 No No Smoker
## 259 27.34375 Yes 199.0 118 38 212 No Yes Smoker
## 260 27.30997 Yes 151.0 77 43 130 No Yes Never
## 261 18.36547 No 98.0 48 37 27 Yes No Never
## 262 20.00000 No 231.0 141 50 98 Yes Yes Never
## 263 24.07407 No 223.0 159 25 184 Yes Yes Smoker
## 264 23.87543 No 148.0 103 33 133 Yes Yes Smoker
## 265 22.64086 No 271.0 179 40 179 Yes Yes Never
## 266 24.97704 No 166.0 129 28 125 No Yes Smoker
## 267 28.73175 Yes 184.0 133 36 112 No Yes Smoker
## 268 23.80869 No 187.0 146 34 65 No No Smoker
## 269 26.82742 Yes 240.0 196 36 194 No No Smoker
## 270 24.77210 No 179.0 121 37 76 No No Smoker
## 271 26.15563 Yes 230.0 154 45 169 No No Ex-smoker
## 272 27.71769 Yes 164.0 119 23 151 No No Ex-smoker
## 273 22.86237 No 199.0 129 39 75 No Yes Never
## 274 28.88889 Yes 207.0 134 42 135 No Yes Never
## 275 22.65625 No 156.0 111 35 62 Yes No Never
## 276 24.91349 No 225.0 108 48 257 No No Ex-smoker
## 277 25.86451 Yes 170.0 114 37 70 No Yes Ex-smoker
## 278 27.42857 Yes 180.0 122 34 70 No Yes Ex-smoker
## 280 19.53125 No 105.0 51 29 123 No Yes Smoker
## 281 22.38631 No 181.0 112 51 32 No No Smoker
## 282 23.19109 No 181.0 123 44 43 No No Never
## 284 22.09317 No 137.0 73 47 31 No Yes Smoker
## 285 27.18090 Yes 140.0 88 34 181 No Yes Ex-smoker
## 286 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 287 24.31412 No 227.0 144 47 75 No Yes Smoker
## 288 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 289 22.12974 No 168.0 112 44 61 No Yes Smoker
## 290 25.33333 Yes 102.0 72 25 65 Yes Yes Never
## 291 25.01352 Yes 168.0 107 28 188 Yes No Smoker
## 292 24.18705 No 176.0 87 46 218 No No Smoker
## 293 31.07354 Yes 97.0 53 26 93 Yes No Smoker
## 294 20.18462 No 189.0 91 45 141 No No Smoker
## 295 20.18462 No 207.0 137 43 136 No No Smoker
## 296 27.34375 Yes 154.0 86 42 148 Yes Yes Ex-smoker
## 297 23.93899 No 163.0 102 28 220 No No Smoker
## 298 21.45329 No 208.0 113 41 259 No No Smoker
## 299 28.65014 Yes 116.0 48 38 164 Yes Yes Smoker
## 300 21.45329 No 131.0 67 30 156 No Yes Smoker
## 301 23.47303 No 211.0 145 39 75 No Yes Never
## 302 23.33547 No 162.0 103 26 184 No No Ex-smoker
## 303 25.56495 Yes 161.0 108 34 59 No No Smoker
## 304 23.50781 No 218.0 171 35 120 No Yes Ex-smoker
## 305 19.25703 No 182.0 123 33 120 Yes Yes Ex-smoker
## 306 22.52151 No 244.0 161 48 97 No Yes Never
## 307 26.17188 Yes 239.0 169 43 112 No No Smoker
## 308 23.12062 No 230.0 143 58 109 No No Never
## 309 23.43750 No 118.0 70 35 95 No Yes Smoker
## 310 25.39062 Yes 170.0 128 35 58 No Yes Ex-smoker
## 311 27.54821 Yes 228.0 175 46 98 Yes Yes Smoker
## 312 23.63403 No 168.0 104 45 646 No Yes Never
## 313 25.76298 Yes 182.0 111 43 134 No Yes Smoker
## 314 41.42012 Yes 229.0 148 47 151 Yes Yes Ex-smoker
## 315 24.14152 No 223.0 147 33 147 Yes Yes Never
## 316 27.99036 Yes 198.0 131 38 101 No No Smoker
## 317 22.05805 No 154.0 98 29 91 No Yes Smoker
## 318 23.42356 No 192.0 110 39 81 No Yes Smoker
## 319 26.07897 Yes 158.0 89 30 157 No Yes Smoker
## 320 20.02884 No 160.0 83 49 58 No No Smoker
## 321 30.79585 Yes 172.0 104 36 189 Yes Yes Smoker
## 322 25.39343 Yes 155.0 70 45 217 No Yes Smoker
## 323 32.04615 Yes 330.0 263 49 84 Yes No Ex-smoker
## 324 21.70139 No 202.0 128 31 149 No No Never
## 325 26.44898 Yes 149.0 93 24 154 Yes Yes Ex-smoker
## 326 27.10204 Yes 120.0 63 38 112 No No Smoker
## 327 27.45865 Yes 173.0 113 33 138 Yes No Never
## 328 22.20408 No 188.0 132 28 131 Yes Yes Smoker
## 330 22.32143 No 108.0 60 21 123 Yes Yes Smoker
## 331 18.42404 No 199.0 125 38 141 Yes Yes Never
## 332 24.60938 No 141.0 79 28 152 No No Never
## 333 23.04688 No 178.0 100 33 176 No Yes Never
## 334 24.30462 No 132.8 77 32 119 Yes Yes Smoker
## 335 21.35780 No 105.0 45 38 28 No Yes Smoker
## 336 21.40309 No 191.0 106 52 64 Yes Yes Never
## 337 22.54658 No 161.0 107 25 164 Yes Yes Never
## 338 27.34375 Yes 178.0 101 35 123 Yes Yes Never
## 339 24.22145 No 159.0 93 47 88 No No Never
## 340 20.19558 No 223.0 126 66 83 No Yes Smoker
## 341 29.93827 Yes 194.0 143 41 108 No No Smoker
## 342 25.43748 Yes 255.0 136 51 176 No Yes Never
## 343 26.10656 Yes 154.0 71 55 68 No No Ex-smoker
## 344 27.81588 Yes 184.0 90 63 135 Yes Yes Never
## 345 27.18090 Yes 182.0 113 24 64 No No Smoker
## 346 24.03461 No 146.0 88 45 65 No No Never
## 347 26.33289 Yes 199.0 149 21 114 No Yes Ex-smoker
## 348 25.86451 Yes 226.0 146 53 31 No No Smoker
## 349 26.77551 Yes 164.0 93 47 60 Yes Yes Never
## 351 24.46460 No 144.0 94 30 75 No Yes Never
## 352 23.14050 No 127.0 81 28 80 No Yes Smoker
## 353 24.50895 No 286.0 198 48 166 No No Ex-smoker
## 354 21.22789 No 177.0 113 34 151 No No Ex-smoker
## 355 23.30109 No 117.0 69 34 19 Yes Yes Smoker
## 356 22.03857 No 169.0 109 41 106 No Yes Ex-smoker
## 357 23.03005 No 166.0 102 10 87 Yes Yes Smoker
## 358 26.29758 Yes 118.0 74 25 61 No Yes Never
## 359 25.59374 Yes 193.0 102 42 200 Yes No Smoker
## 360 26.21882 Yes 178.0 111 39 20 No No Never
## 361 24.03461 No 179.0 117 44 93 Yes Yes Never
## 362 24.22145 No 173.0 112 23 90 Yes Yes Smoker
## 363 25.28257 Yes 125.0 55 39 109 Yes Yes Never
## 364 28.65014 Yes 210.0 152 38 63 No Yes Never
## 365 24.72518 No 178.0 117 42 79 No Yes Never
## 366 29.38776 Yes 267.0 202 38 215 Yes Yes Smoker
## 367 31.74179 Yes 206.0 123 26 276 No No Smoker
## 368 24.60973 No 231.0 125 76 79 Yes No Smoker
## 369 24.80159 No 211.0 157 37 154 No Yes Smoker
## 370 26.63496 Yes 213.0 141 34 62 No Yes Never
## 371 27.54821 Yes 239.0 83 37 319 No No Ex-smoker
## 372 24.84098 No 162.0 108 39 136 No Yes Smoker
## 373 22.43230 No 221.0 136 70 118 No Yes Ex-smoker
## 374 25.95156 Yes 202.0 140 34 37 Yes Yes Never
## 375 23.80869 No 246.0 185 41 154 No No Smoker
## 376 25.96454 Yes 205.0 112 65 82 No Yes Ex-smoker
## 377 21.96712 No 248.0 182 37 122 No No Smoker
## 378 23.04688 No 168.0 98 36 32 No Yes Smoker
## 379 22.89282 No 220.0 151 34 162 No Yes Never
## 380 26.17188 Yes 165.0 104 34 137 No Yes Never
## 381 26.17188 Yes 165.0 104 34 137 No Yes Never
## 382 22.22222 No 95.0 41 8 105 Yes Yes Never
## 384 22.22222 No 128.0 65 38 83 No No Never
## 385 36.67820 Yes 210.0 150 33 181 Yes No Smoker
## 386 17.57812 No 163.0 99 55 44 No No Ex-smoker
## 387 22.53061 No 134.0 95 15 109 No No Ex-smoker
## 388 29.00059 Yes 216.0 163 34 181 No Yes Never
## 389 24.80159 No 188.0 114 33 201 No Yes Smoker
## 390 20.54419 No 206.0 123 49 99 No Yes Ex-smoker
## 391 22.49135 No 213.0 139 42 57 No No Never
## 392 27.04164 Yes 154.0 71 50 115 Yes Yes Never
## 394 26.07897 Yes 195.0 133 33 45 No Yes Never
## 395 24.03461 No 103.0 36 38 132 Yes Yes Never
## 396 20.76125 No 171.0 100 49 127 No Yes Smoker
## 397 20.20202 No 199.0 133 37 30 No Yes Never
## 398 23.33547 No 232.0 108 24 375 Yes Yes Never
## 399 28.94610 Yes 215.0 147 30 118 No Yes Never
## 400 21.92613 No 126.0 76 27 83 No No Never
## 401 24.21875 No 190.0 118 23 152 Yes Yes Never
## 402 24.67550 No 188.0 104 59 113 No Yes Smoker
## 403 24.89706 No 155.8 97 22 184 No No Ex-smoker
## 404 26.66667 Yes 183.0 134 36 79 Yes No Never
## 406 19.37716 No 198.0 136 46 139 Yes No Ex-smoker
## 407 22.49135 No 164.0 109 34 61 No No Ex-smoker
## 408 17.92822 No 78.0 49 26 34 No Yes Smoker
## 409 33.62209 Yes 183.0 112 30 64 Yes Yes Never
## 410 26.34649 Yes 246.0 178 48 82 No No Smoker
## 411 22.89282 No 314.0 208 63 176 Yes Yes Never
## 412 21.23057 No 134.0 72 51 76 No No Never
## 414 23.72529 No 167.0 115 37 51 No Yes Never
## 415 21.25850 No 129.0 74 25 88 No Yes Never
## 416 26.95312 Yes 114.0 62 37 150 No Yes Ex-smoker
## 417 26.42357 Yes 203.0 128 48 60 No Yes Ex-smoker
## 418 22.23099 No 197.0 138 27 110 No No Ex-smoker
## 419 25.86451 Yes 235.0 190 34 87 Yes Yes Ex-smoker
## 420 23.66524 No 189.0 120 38 110 No Yes Ex-smoker
## 421 28.65014 Yes 197.0 121 41 124 No Yes Smoker
## 422 26.25958 Yes 155.0 87 39 61 Yes Yes Smoker
## 423 24.44444 No 139.0 175 5 66 No Yes Never
## 424 25.76298 Yes 203.0 128 35 258 Yes Yes Smoker
## 425 26.53376 Yes 179.0 74 29 377 Yes Yes Never
## 426 24.38237 No 184.0 117 34 99 No Yes Smoker
## 427 26.40235 Yes 155.0 105 41 108 Yes Yes Never
## 428 19.10009 No 227.0 140 35 192 No No Smoker
## 429 26.17188 Yes 185.0 113 41 92 Yes Yes Never
## 431 21.77778 No 258.0 161 31 185 Yes Yes Never
## 432 24.46460 No 224.0 149 26 217 Yes No Ex-smoker
## 433 23.58833 No 234.0 153 35 129 No No Smoker
## 434 26.23356 Yes 100.0 38 42 65 Yes Yes Ex-smoker
## 435 27.40766 Yes 118.0 50 33 97 Yes Yes Ex-smoker
## 436 24.38653 No 191.0 148 27 92 No No Never
## 437 27.68166 Yes 164.0 113 43 30 Yes Yes Ex-smoker
## 438 21.40309 No 176.0 118 34 142 Yes No Never
## 440 29.93827 Yes 204.0 107 43 180 No No Never
## 441 23.66144 No 265.0 177 45 288 Yes No Smoker
## 442 22.38631 No 162.0 94 39 92 No No Smoker
## 443 25.71101 Yes 193.0 119 28 107 No Yes Never
## 444 23.03005 No 145.0 52 24 680 Yes No Smoker
## 445 24.48980 No 206.0 128 40 66 No Yes Smoker
## 446 19.55556 No 177.0 44 55 77 Yes No Never
## 447 30.44384 Yes 167.0 117 35 117 No Yes Never
## 448 23.14050 No 225.0 151 32 148 No No Smoker
## 449 23.78121 No 201.0 154 34 144 No Yes Ex-smoker
## 450 23.72281 No 141.0 72 41 239 No No Ex-smoker
## 451 22.95918 No 480.0 314 44 243 Yes Yes Never
## 452 25.95156 Yes 145.0 83 35 66 No Yes Never
## 453 22.23099 No 150.0 82 26 153 Yes No Smoker
## 455 26.76978 Yes 134.0 98 24 60 No No Smoker
## 456 18.81892 No 130.0 43 61 72 No Yes Smoker
## 457 18.42404 No 493.0 366 59 163 No No Ex-smoker
## 458 24.97399 No 131.0 57 44 124 No No Ex-smoker
## 459 19.53125 No 190.0 115 51 38 No No Ex-smoker
## 460 24.97399 No 153.0 87 34 22 Yes No Never
## 461 25.91068 Yes 203.0 120 36 297 No Yes Smoker
## 462 22.58271 No 163.0 106 30 155 No Yes Never
## 463 25.05931 Yes 217.0 152 24 150 No Yes Ex-smoker
## 464 24.23823 No 181.0 122 34 68 No Yes Never
## 465 25.52964 Yes 139.0 77 57 67 No Yes Smoker
## 466 22.89282 No 202.0 121 31 207 Yes No Never
## 467 24.81633 No 205.0 106 34 246 No No Smoker
## 468 20.61925 No 186.0 144 34 53 No No Smoker
## 469 23.03005 No 182.0 119 49 48 No Yes Never
## 470 27.88519 Yes 232.0 132 60 132 Yes Yes Never
## 471 18.26150 No 170.0 85 20 311 Yes Yes Never
## 472 26.98962 Yes 188.0 126 39 173 No No Smoker
## 473 16.41531 No 143.0 99 27 75 Yes No Smoker
## 474 22.05805 No 261.0 189 43 104 No No Ex-smoker
## 475 21.20311 No 183.0 86 65 115 No No Smoker
## 476 24.22145 No 185.0 103 34 155 Yes Yes Ex-smoker
## 477 26.64360 Yes 91.0 50 26 70 No Yes Ex-smoker
## 478 23.66524 No 122.0 65 47 11 No Yes Ex-smoker
## 479 23.43750 No 161.0 114 32 61 No Yes Never
## 480 22.31328 No 182.0 109 52 30 No Yes Never
## 481 25.95156 Yes 147.0 93 38 74 No No Ex-smoker
## 482 21.46194 No 157.0 122 22 70 No No Smoker
## 483 23.05175 No 184.0 136 32 135 No Yes Ex-smoker
## 484 26.44628 Yes 98.0 52 29 60 Yes Yes Ex-smoker
## 485 20.76125 No 163.0 96 38 170 Yes Yes Smoker
## 486 26.44628 Yes 173.0 117 36 44 Yes Yes Never
## 487 24.67105 No 190.0 100 38 125 No Yes Ex-smoker
## 490 20.82094 No 214.0 120 46 53 No No Never
## 491 25.51020 Yes 195.0 128 42 64 No Yes Never
## 492 29.05329 Yes 188.0 75 35 619 Yes Yes Smoker
## 493 26.64360 Yes 116.0 83 23 41 No Yes Ex-smoker
## 494 29.05475 Yes 261.0 208 28 98 No No Smoker
## 495 25.46939 Yes 177.0 131 32 104 No Yes Never
## 496 22.95918 No 149.0 104 26 54 No Yes Smoker
## 497 22.86253 No 186.0 92 44 93 No No Never
## 498 38.44675 Yes 181.0 116 51 72 Yes No Never
## 499 25.46198 Yes 131.0 76 39 58 Yes Yes Smoker
## 500 24.91990 No 140.0 53 10 31 No No Never
## 501 24.08822 No 200.0 143 40 65 Yes Yes Ex-smoker
## 502 19.14672 No 197.0 112 51 81 No Yes Smoker
## 503 26.44628 Yes 122.0 73 26 80 Yes Yes Never
## 504 24.84098 No 162.0 102 44 81 No No Ex-smoker
## 505 22.38631 No 151.0 90 45 49 No No Never
## 506 26.39580 Yes 163.0 91 25 219 No No Smoker
## 507 21.30395 No 154.0 60 60 139 No No Smoker
## 510 23.04002 No 153.0 92 46 62 Yes Yes Smoker
## 511 17.14678 No 128.0 65 44 45 No No Smoker
## 512 31.21748 Yes 245.0 184 52 41 Yes No Never
## 513 25.40282 Yes 255.0 152 46 312 Yes Yes Smoker
## 514 26.48554 Yes 126.0 66 30 123 Yes Yes Smoker
## 515 26.72287 Yes 183.0 125 35 129 No No Smoker
## 516 22.22222 No 163.0 103 47 29 No Yes Never
## 517 26.02617 Yes 203.0 94 19 458 No Yes Smoker
## 518 25.52964 Yes 233.0 163 41 138 Yes Yes Never
## 519 24.74745 No 165.0 100 32 129 Yes Yes Never
## 520 33.67347 Yes 236.0 144 60 189 Yes Yes Smoker
## 521 29.90303 Yes 194.0 133 43 257 No Yes Ex-smoker
## 522 22.07108 No 207.0 158 25 106 No Yes Never
## 523 25.71166 Yes 141.0 69 54 153 Yes Yes Never
## 524 26.03749 Yes 32.0 100 4 66 Yes Yes Never
## 525 23.42209 No 226.0 150 40 128 No Yes Smoker
## 526 23.42209 No 188.0 117 49 128 No Yes Smoker
## 527 25.21625 Yes 196.0 136 21 180 No Yes Smoker
## 528 25.63692 Yes 225.0 164 39 127 Yes Yes Never
## 529 20.56933 No 189.0 105 58 66 No Yes Smoker
## 530 32.87197 Yes 182.0 142 40 99 Yes Yes Smoker
## 531 27.68166 Yes 217.0 159 34 143 No Yes Smoker
## 533 26.57313 Yes 185.0 80 33 318 No Yes Never
## 534 22.66667 No 296.0 93 26 393 Yes Yes Ex-smoker
## 535 25.95156 Yes 198.0 123 40 165 Yes No Smoker
## 536 22.98540 No 191.0 122 46 53 No No Smoker
## 537 29.06977 Yes 351.0 270 35 194 No No Smoker
## 538 21.78649 No 151.0 81 55 45 No No Never
## 539 22.65625 No 178.0 109 48 36 No Yes Ex-smoker
## 540 27.41445 Yes 181.0 124 30 92 No Yes Never
## 541 18.59113 No 207.0 141 48 69 No No Ex-smoker
## 542 24.30462 No 223.0 136 46 247 Yes Yes Never
## 543 17.75148 No 177.0 105 35 56 No No Smoker
## 544 26.72287 Yes 191.0 116 41 112 No Yes Ex-smoker
## 545 25.96953 Yes 162.0 99 39 115 No Yes Smoker
## 546 23.53037 No 178.0 121 25 165 No Yes Ex-smoker
## 547 30.48316 Yes 183.0 110 46 143 Yes Yes Smoker
## 548 30.35925 Yes 161.0 75 33 187 No Yes Never
## 549 22.32143 No 204.0 136 46 115 No Yes Never
## 550 27.99036 Yes 159.0 102 30 80 No Yes Ex-smoker
## 551 23.33547 No 344.0 71 30 217 No Yes Ex-smoker
## 552 23.87511 No 184.0 126 39 101 Yes No Smoker
## 553 23.73996 No 207.0 101 48 168 Yes No Never
## 554 22.30815 No 152.0 64 58 151 No No Smoker
## 555 24.60973 No 177.0 123 41 66 No Yes Never
## 556 21.33333 No 195.0 121 40 145 No Yes Never
## 557 27.14158 Yes 315.0 235 55 100 No No Smoker
## 559 22.65625 No 198.0 138 35 110 No No Smoker
## 560 21.42857 No 200.0 135 44 103 No No Never
## 561 26.91273 Yes 151.0 82 31 143 Yes No Ex-smoker
## 562 21.35931 No 275.0 178 45 87 No Yes Never
## 563 21.61281 No 246.0 64 29 801 Yes No Ex-smoker
## 564 26.98962 Yes 197.0 144 26 166 Yes Yes Never
## 565 24.03461 No 238.0 152 44 192 Yes Yes Never
## 566 18.36900 No 170.0 105 44 57 No Yes Never
## 567 25.68956 Yes 123.0 70 35 109 No Yes Smoker
## 568 18.80787 No 293.0 151 42 454 No Yes Never
## 569 21.96712 No 246.0 178 44 146 Yes No Smoker
## 570 24.08822 No 196.0 126 33 182 No No Smoker
## 571 25.80645 Yes 216.0 143 16 168 Yes Yes Never
## 572 21.36752 No 248.0 174 46 200 Yes Yes Smoker
## 573 24.21875 No 192.0 68 23 459 No No Smoker
## 574 29.33333 Yes 230.0 155 49 91 No No Smoker
## 575 23.60128 No 198.0 108 38 268 Yes Yes Never
## 576 20.42942 No 204.0 124 47 110 No Yes Never
## 577 26.02264 Yes 214.0 140 43 76 Yes Yes Never
## 578 24.91990 No 204.0 108 53 170 Yes Yes Ex-smoker
## 580 23.52941 No 158.0 104 31 64 No Yes Smoker
## 581 22.65625 No 102.0 55 34 89 No No Smoker
## 582 25.72103 Yes 205.0 143 33 117 No No Never
## 583 27.58621 Yes 246.0 175 39 110 Yes Yes Never
## 584 24.16327 No 246.0 174 45 165 No Yes Ex-smoker
## 585 26.64360 Yes 104.0 27 84 81 No No Ex-smoker
## 586 19.92513 No 136.0 63 42 78 No Yes Never
## 587 22.67574 No 230.0 173 32 86 No No Smoker
## 588 24.33748 No 186.0 148 36 67 No Yes Smoker
## 589 16.33038 No 199.0 113 58 58 Yes No Smoker
## 590 23.49524 No 228.0 116 67 68 Yes Yes Ex-smoker
## 591 16.33038 No 164.0 99 40 91 Yes No Ex-smoker
## 592 26.03749 Yes 190.0 118 29 153 No Yes Ex-smoker
## 594 29.82325 Yes 161.0 83 50 108 Yes No Never
## 595 25.68956 Yes 198.0 104 57 106 No Yes Never
## 596 19.11111 No 137.0 95 20 104 No Yes Never
## 597 17.77778 No 196.0 194 44 171 No Yes Never
## 598 20.70082 No 141.0 74 50 52 No Yes Smoker
## 599 25.82645 Yes 293.0 200 34 137 Yes Yes Smoker
## 600 24.80159 No 192.0 140 36 99 No No Ex-smoker
## 601 24.97399 No 183.0 124 43 154 No Yes Never
## 602 21.33333 No 149.0 83 44 51 No Yes Never
## 603 19.67517 No 286.0 188 62 104 Yes No Never
## 604 20.51913 No 182.0 107 37 78 No Yes Never
## 605 23.56663 No 231.0 192 29 144 No No Smoker
## 606 22.83737 No 154.0 76 38 177 Yes Yes Ex-smoker
## 607 22.77319 No 190.0 125 24 91 Yes No Never
## 608 24.60938 No 177.0 104 45 78 No No Smoker
## 609 29.41176 Yes 134.0 81 31 102 Yes No Ex-smoker
## 610 32.04588 Yes 195.0 132 47 65 Yes No Ex-smoker
## 611 29.21841 Yes 173.0 103 40 182 No Yes Ex-smoker
## 612 22.12974 No 206.0 98 72 231 No Yes Never
## 613 27.65625 Yes 190.0 137 28 110 No Yes Ex-smoker
## 614 26.83865 Yes 165.0 93 30 194 No Yes Never
## 615 26.22222 Yes 154.0 97 35 109 Yes Yes Never
## 616 24.24242 No 221.0 137 52 95 Yes Yes Ex-smoker
## 617 28.88889 Yes 261.0 194 51 99 Yes Yes Never
## 618 15.61570 No 240.0 109 49 54 No Yes Smoker
## 619 15.61570 No 197.0 122 49 54 No Yes Smoker
## 620 24.44180 No 144.0 88 37 129 No No Never
## 621 24.91349 No 194.0 144 32 55 No Yes Smoker
## 622 25.45807 Yes 221.0 145 37 92 No No Smoker
## 623 23.55556 No 244.0 170 34 51 No Yes Ex-smoker
## 624 24.44728 No 150.0 85 38 148 No Yes Smoker
## 625 23.80869 No 147.0 78 32 173 Yes No Smoker
## 626 26.83865 Yes 271.0 189 53 94 No Yes Never
## 627 23.33768 No 222.0 158 51 98 No Yes Smoker
## 629 24.80159 No 273.0 216 29 152 No No Smoker
## 630 19.72104 No 184.0 115 45 44 No No Ex-smoker
## 631 20.40816 No 200.0 137 34 101 Yes No Never
## 632 26.31464 Yes 170.0 96 51 91 Yes Yes Never
## 633 24.44728 No 234.0 156 43 119 No No Never
## 634 28.57143 Yes 116.0 50 35 219 No Yes Never
## 635 21.64127 No 208.0 201 40 406 No No Smoker
## 636 24.12175 No 224.0 156 40 141 Yes Yes Never
## 637 41.22626 Yes 292.0 210 36 332 Yes No Smoker
## 638 25.10957 Yes 189.0 118 39 124 No Yes Never
## 639 19.72104 No 178.0 100 51 73 No No Ex-smoker
## 640 29.38468 Yes 241.0 157 57 68 No Yes Ex-smoker
## 641 25.78125 Yes 120.0 67 39 72 No No Smoker
## 642 28.01022 Yes 119.0 66 34 39 No Yes Never
## 643 21.48438 No 166.0 82 53 64 Yes Yes Never
## 644 27.06405 Yes 224.0 189 35 56 No Yes Smoker
## 645 24.80159 No 174.0 118 37 112 No Yes Smoker
## 646 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 647 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 648 25.23634 Yes 166.0 111 34 62 No No Never
## 649 22.22222 No 164.0 115 38 86 No No Ex-smoker
## 650 27.34375 Yes 227.0 140 35 221 Yes Yes Smoker
## 651 19.48696 No 166.0 93 34 34 No No Ex-smoker
## 652 21.96712 No 215.0 134 32 241 No No Smoker
## 653 31.24605 Yes 120.0 55 19 225 No No Never
## 654 24.99890 No 263.0 183 42 80 No Yes Never
## 655 26.56434 Yes 181.0 111 36 179 No No Never
## 656 23.43750 No 145.0 115 34 54 No No Smoker
## 657 27.11111 Yes 203.0 126 42 50 Yes Yes Never
## 658 23.49524 No 234.0 198 54 77 Yes Yes Never
## 659 33.44382 Yes 186.0 114 39 96 No No Smoker
## 660 22.59814 No 235.0 183 33 93 No No Never
## 661 24.03461 No 124.0 70 30 131 Yes Yes Never
## 662 19.22338 No 189.0 125 47 40 No Yes Never
## 663 19.95936 No 136.0 85 38 57 No Yes Smoker
## 664 22.20633 No 207.0 140 26 105 Yes Yes Smoker
## 665 21.98989 No 300.0 227 38 136 No No Smoker
## 666 21.45357 No 194.0 110 60 48 No No Ex-smoker
## 667 19.48696 No 128.0 71 31 87 No No Never
## 669 24.21875 No 157.0 72 46 247 Yes Yes Never
## 670 21.84701 No 251.0 122 44 450 Yes Yes Smoker
## 671 26.29758 Yes 225.0 140 24 283 No No Ex-smoker
## 672 20.51509 No 212.0 159 40 45 No No Smoker
## 673 26.95984 Yes 131.0 81 23 150 No Yes Smoker
## 674 24.60973 No 158.0 107 33 165 No Yes Smoker
## 675 23.87511 No 199.0 147 43 41 No No Never
## 676 25.63692 Yes 279.0 168 38 283 Yes No Never
## 677 24.02381 No 143.0 86 19 232 Yes No Never
## 678 18.59012 No 131.0 67 49 67 No No Ex-smoker
## 679 25.30864 Yes 138.0 46 47 34 No No Ex-smoker
## 680 19.55556 No 171.0 98 44 82 Yes Yes Never
## 681 30.04082 Yes 297.0 125 33 584 Yes Yes Ex-smoker
## 682 23.05456 No 229.0 159 51 105 Yes No Smoker
## 683 24.15882 No 130.0 150 29 193 Yes Yes Ex-smoker
## 684 26.17188 Yes 170.0 115 40 39 No No Ex-smoker
## 685 26.17519 Yes 169.0 77 28 377 No No Smoker
## 686 22.06035 No 262.0 162 41 261 No Yes Smoker
## 688 27.58020 Yes 248.0 168 38 310 No Yes Smoker
## 689 25.39022 Yes 240.0 161 58 74 No No Ex-smoker
## 690 25.51020 Yes 175.0 96 34 219 Yes No Smoker
## 692 23.43750 No 199.0 141 29 161 No Yes Never
## 693 23.12467 No 231.0 97 29 84 No Yes Never
## 694 24.15882 No 136.0 78 27 164 Yes No Smoker
## 695 21.35991 No 157.0 85 46 75 No No Never
## 697 27.39226 Yes 186.0 134 33 96 No Yes Ex-smoker
## 698 25.92593 Yes 267.0 164 31 365 Yes No Smoker
## 699 23.18339 No 195.0 118 25 235 Yes No Smoker
## 700 17.64706 No 181.0 129 38 33 No Yes Smoker
## 701 26.07897 Yes 251.0 166 36 246 No Yes Ex-smoker
## 702 18.68512 No 158.0 115 33 59 No No Smoker
## 703 27.58621 Yes 231.0 118 42 279 No Yes Never
## 705 23.28342 No 157.0 90 32 161 No Yes Never
## 706 28.53746 Yes 167.0 84 34 84 No Yes Ex-smoker
## 707 31.11111 Yes 204.0 139 27 139 Yes Yes Never
## 708 22.43230 No 222.0 171 36 50 No Yes Never
## 709 22.85714 No 171.0 94 46 124 No No Never
## 710 27.18090 Yes 221.0 157 36 183 Yes No Smoker
## 711 20.20202 No 181.0 124 45 143 Yes Yes Smoker
## 712 23.43750 No 126.0 52 41 156 Yes No Never
## 713 23.18339 No 179.0 108 31 237 Yes Yes Ex-smoker
## 715 22.14533 No 204.0 105 28 304 No No Never
## 717 25.68956 Yes 108.0 63 31 53 Yes Yes Ex-smoker
## 718 27.85201 Yes 138.0 80 30 141 No No Smoker
## 719 26.56250 Yes 220.0 149 45 119 Yes No Never
## 720 25.90946 Yes 200.0 134 56 177 Yes Yes Never
## 721 25.90946 Yes 197.0 130 36 177 Yes No Never
## 722 20.76125 No 132.0 75 37 63 No Yes Smoker
# 2. 부분삭제 : 말이 na삭제지. na아닌것들만 골라내기
acs [ !is.na(acs$weight), ]
## age sex cardiogenicShock entry Dx EF height weight
## 1 62 Male No Femoral STEMI 18.0 168.0 72.00
## 2 78 Female No Femoral STEMI 18.4 148.0 48.00
## 4 89 Female No Femoral STEMI 21.8 165.0 50.00
## 5 56 Male No Radial NSTEMI 21.8 162.0 64.00
## 6 73 Female No Radial Unstable Angina 22.0 153.0 59.00
## 7 58 Male No Radial Unstable Angina 24.7 167.0 78.00
## 8 62 Male No Femoral STEMI 26.6 160.0 50.00
## 9 59 Female No Radial Unstable Angina 28.5 152.0 67.00
## 10 71 Male No Femoral STEMI 31.1 168.0 60.00
## 11 52 Male No Radial Unstable Angina 31.1 175.0 60.00
## 12 52 Female No Radial Unstable Angina 31.1 156.0 63.00
## 13 66 Male No Femoral Unstable Angina 31.5 164.0 64.00
## 14 64 Female No Femoral STEMI 31.9 150.0 51.00
## 15 62 Female No Femoral STEMI 32.0 158.0 49.00
## 17 65 Male No Radial Unstable Angina 32.0 152.0 54.00
## 19 63 Male Yes Radial STEMI 33.3 175.0 71.00
## 20 30 Male No Femoral STEMI 34.0 148.0 80.00
## 21 60 Male No Radial Unstable Angina 34.3 173.0 68.00
## 22 81 Male No Femoral NSTEMI 34.4 162.0 51.00
## 23 49 Male No Femoral Unstable Angina 34.4 165.0 67.00
## 24 72 Female No Femoral STEMI 34.5 145.0 50.00
## 25 63 Male Yes Femoral STEMI 34.6 170.0 70.00
## 26 72 Female No Femoral Unstable Angina 34.6 155.0 45.00
## 27 64 Male Yes Radial STEMI 35.0 165.0 63.00
## 28 64 Male No Femoral STEMI 35.4 167.0 65.00
## 29 66 Male No Femoral Unstable Angina 35.4 160.0 60.00
## 30 47 Male Yes Femoral STEMI 35.5 179.0 68.00
## 31 46 Female No Femoral STEMI 35.6 155.0 48.00
## 32 55 Male Yes Femoral NSTEMI 35.7 165.0 63.00
## 33 73 Male No Radial NSTEMI 35.9 160.0 70.00
## 34 59 Male No Radial NSTEMI 36.5 175.0 62.00
## 35 79 Female No Radial Unstable Angina 36.5 140.0 50.00
## 36 80 Male No Radial STEMI 36.6 162.0 54.00
## 37 76 Female No Radial NSTEMI 36.8 153.0 50.00
## 38 73 Male No Femoral NSTEMI 37.0 162.0 53.00
## 39 61 Female No Femoral Unstable Angina 37.0 156.0 44.00
## 40 58 Male Yes Radial STEMI 37.3 168.0 74.00
## 41 58 Male No Femoral STEMI 37.5 165.0 85.00
## 42 72 Female No Radial NSTEMI 37.5 150.0 70.00
## 43 57 Male No Femoral NSTEMI 37.9 168.0 70.00
## 44 66 Male No Radial Unstable Angina 38.0 165.0 69.00
## 45 71 Male No Radial Unstable Angina 38.0 170.0 69.00
## 46 65 Female No Femoral STEMI 38.4 162.0 67.00
## 47 53 Male No Radial Unstable Angina 38.4 163.0 68.00
## 48 61 Female No Femoral NSTEMI 38.5 148.0 64.00
## 49 77 Male No Radial STEMI 38.8 160.0 54.00
## 50 82 Male No Femoral STEMI 39.0 164.0 50.00
## 51 65 Male Yes Radial STEMI 39.0 163.0 58.00
## 52 61 Male No Femoral STEMI 39.4 168.0 56.00
## 53 39 Male No Radial STEMI 40.0 169.0 93.00
## 54 49 Male No Radial STEMI 40.0 178.0 80.00
## 55 67 Male No Femoral NSTEMI 40.0 165.0 62.00
## 56 76 Male No Radial STEMI 40.2 165.0 75.00
## 57 79 Female No Radial NSTEMI 40.2 155.0 60.00
## 58 63 Male No Radial Unstable Angina 40.2 168.0 62.00
## 59 74 Female Yes Femoral STEMI 40.4 150.0 55.00
## 60 67 Male No Femoral STEMI 40.5 165.0 75.00
## 61 57 Male No Femoral STEMI 40.6 167.0 58.00
## 62 59 Male No Radial STEMI 40.9 172.0 65.00
## 63 76 Male No Radial STEMI 41.0 158.0 67.00
## 64 55 Male No Radial STEMI 41.3 170.0 75.00
## 65 80 Female No Femoral STEMI 41.5 157.0 48.00
## 66 88 Female No Radial NSTEMI 41.7 155.0 53.00
## 67 75 Female No Femoral STEMI 41.8 160.0 70.00
## 68 72 Male No Radial STEMI 42.0 168.0 64.00
## 69 52 Male No Femoral Unstable Angina 42.0 170.0 78.00
## 70 49 Male No Radial STEMI 42.1 167.0 69.00
## 71 78 Male No Femoral NSTEMI 42.1 158.0 50.00
## 72 61 Female No Femoral Unstable Angina 42.1 148.0 62.00
## 73 67 Female No Radial NSTEMI 42.2 153.0 43.00
## 74 54 Male No Radial NSTEMI 42.4 168.0 63.00
## 75 76 Female No Radial NSTEMI 42.5 163.0 55.00
## 76 52 Male No Radial STEMI 42.5 160.0 55.00
## 77 65 Male No Femoral STEMI 42.6 168.0 59.00
## 78 64 Male No Radial STEMI 42.7 164.0 65.00
## 79 85 Male No Femoral NSTEMI 42.7 165.0 60.00
## 80 75 Female No Radial STEMI 42.8 156.0 46.00
## 81 78 Female No Radial STEMI 42.9 158.0 57.00
## 82 81 Male No Femoral Unstable Angina 43.0 166.0 59.00
## 83 74 Female No Radial Unstable Angina 43.0 150.0 51.00
## 84 58 Male Yes Femoral STEMI 43.2 178.0 80.00
## 85 63 Female No Femoral STEMI 43.2 149.0 40.00
## 86 72 Female No Femoral Unstable Angina 43.2 160.0 62.00
## 87 77 Male No Radial STEMI 43.3 163.0 60.00
## 88 77 Male No Radial NSTEMI 44.0 168.0 65.00
## 90 53 Male No Radial STEMI 44.0 168.0 75.00
## 91 63 Female No Radial STEMI 44.0 150.0 55.00
## 92 54 Male No Radial STEMI 44.1 176.0 78.00
## 93 79 Female No Radial NSTEMI 44.1 160.0 65.00
## 94 50 Male No Radial STEMI 44.2 175.0 70.00
## 95 75 Male No Radial NSTEMI 44.3 168.0 60.00
## 96 57 Male No Radial STEMI 44.5 177.0 72.00
## 97 69 Male No Femoral NSTEMI 44.6 163.0 56.00
## 98 55 Male No Radial Unstable Angina 44.8 162.0 58.00
## 99 79 Male No Femoral NSTEMI 44.9 172.0 60.00
## 100 70 Male No Femoral STEMI 45.0 165.0 60.00
## 101 73 Male No Femoral STEMI 45.0 168.0 47.00
## 103 82 Female No Radial Unstable Angina 45.0 150.0 55.00
## 104 44 Male No Femoral Unstable Angina 45.1 180.0 80.00
## 105 61 Male No Femoral STEMI 45.3 162.0 58.00
## 106 80 Female No Femoral STEMI 45.4 150.0 65.00
## 107 70 Female No Radial STEMI 45.4 160.0 60.00
## 109 65 Male No Radial STEMI 45.6 167.0 62.00
## 110 68 Male No Femoral NSTEMI 45.6 177.0 79.00
## 111 70 Male No Radial NSTEMI 45.7 151.0 50.00
## 112 65 Male No Radial Unstable Angina 45.8 162.0 65.00
## 113 51 Male No Radial Unstable Angina 45.9 165.0 59.00
## 114 66 Male Yes Femoral STEMI 46.0 168.0 58.00
## 115 53 Male No Radial NSTEMI 46.0 170.0 72.00
## 116 56 Male No Radial STEMI 46.1 167.0 74.00
## 118 78 Female No Femoral NSTEMI 46.4 157.0 60.00
## 119 49 Male No Radial NSTEMI 46.5 162.0 66.00
## 120 84 Female No Radial Unstable Angina 46.6 160.0 60.00
## 121 81 Male No Femoral NSTEMI 46.8 165.0 65.00
## 122 53 Male No Femoral NSTEMI 46.9 165.0 71.00
## 123 77 Male No Radial STEMI 47.0 155.0 60.00
## 124 81 Male No Radial STEMI 47.0 166.0 68.00
## 125 69 Male No Radial STEMI 47.0 175.0 60.00
## 126 48 Female Yes Femoral STEMI 47.0 160.0 60.00
## 127 76 Male No Radial Unstable Angina 47.0 163.0 62.00
## 128 41 Male No Radial STEMI 47.1 170.0 73.00
## 129 68 Male No Radial STEMI 47.2 170.0 60.00
## 130 55 Male No Radial STEMI 47.2 163.0 56.00
## 131 80 Female No Radial NSTEMI 47.3 156.5 67.20
## 132 81 Male No Radial Unstable Angina 47.3 150.0 50.00
## 133 80 Female No Radial STEMI 47.3 156.0 67.20
## 134 61 Male No Radial STEMI 47.4 179.0 76.00
## 135 66 Male No Femoral NSTEMI 47.6 158.0 50.00
## 137 64 Male No Femoral STEMI 47.8 174.0 70.00
## 138 62 Male No Radial STEMI 48.0 167.0 85.00
## 139 72 Female No Femoral STEMI 48.1 163.0 55.00
## 140 72 Female No Femoral STEMI 48.1 160.0 58.00
## 141 74 Female No Femoral NSTEMI 48.1 155.0 56.00
## 142 53 Female No Radial NSTEMI 48.1 160.0 63.00
## 143 51 Male No Radial STEMI 48.2 178.0 70.00
## 144 47 Male No Radial STEMI 48.2 175.0 80.00
## 145 69 Female No Radial NSTEMI 48.2 155.0 55.00
## 146 48 Male No Radial STEMI 48.3 170.0 68.00
## 147 58 Male No Radial NSTEMI 48.3 168.0 76.00
## 148 74 Male No Femoral NSTEMI 48.6 169.0 72.00
## 149 75 Male No Radial NSTEMI 48.6 160.0 58.00
## 150 58 Male No Radial STEMI 48.7 168.0 60.00
## 151 64 Male No Femoral STEMI 48.8 162.0 72.00
## 152 70 Male No Radial STEMI 48.8 176.0 77.00
## 153 69 Female No Radial STEMI 48.9 153.0 63.00
## 154 61 Male No Radial STEMI 48.9 167.0 60.00
## 155 38 Male No Radial Unstable Angina 48.9 166.0 95.00
## 156 44 Male No Radial STEMI 49.0 179.0 93.00
## 157 57 Male No Femoral STEMI 49.0 163.0 63.00
## 158 56 Male No Radial STEMI 49.0 170.0 68.00
## 159 80 Male No Radial NSTEMI 49.0 170.0 62.00
## 160 85 Female No Radial Unstable Angina 49.1 149.0 51.00
## 161 56 Female No Femoral NSTEMI 49.1 155.0 58.00
## 162 79 Male No Radial Unstable Angina 49.1 168.0 70.00
## 163 84 Female No Radial NSTEMI 49.2 155.0 53.00
## 164 55 Male No Femoral STEMI 49.3 168.0 48.00
## 165 55 Male Yes Femoral STEMI 49.3 168.0 48.00
## 166 54 Male No Radial STEMI 49.5 170.0 78.00
## 167 78 Female No Femoral STEMI 49.5 150.0 42.00
## 168 82 Female No Femoral STEMI 49.7 150.0 42.00
## 169 66 Male No Femoral STEMI 49.7 180.0 67.00
## 170 71 Male No Femoral NSTEMI 49.9 155.0 66.00
## 171 52 Male No Radial STEMI 50.0 173.0 70.00
## 172 57 Male No Femoral NSTEMI 50.0 175.0 84.00
## 173 82 Male No Femoral NSTEMI 50.0 165.0 61.00
## 174 76 Male No Femoral Unstable Angina 50.0 160.0 56.00
## 175 49 Male No Femoral STEMI 50.1 164.0 65.00
## 176 62 Female No Radial NSTEMI 50.1 150.0 46.00
## 177 57 Male No Radial STEMI 50.3 165.0 68.00
## 178 57 Male No Radial NSTEMI 50.3 174.0 67.00
## 179 81 Female No Radial STEMI 50.4 164.0 50.00
## 180 53 Male No Radial STEMI 50.4 176.0 74.00
## 181 72 Male Yes Femoral STEMI 50.5 173.0 74.00
## 182 78 Male No Radial Unstable Angina 50.5 170.0 60.00
## 183 53 Male No Radial Unstable Angina 50.6 157.0 80.00
## 184 63 Female No Radial STEMI 50.8 151.0 52.00
## 185 74 Female Yes Radial STEMI 51.0 149.0 50.00
## 186 54 Male No Radial STEMI 51.0 163.0 72.00
## 187 81 Female No Radial STEMI 51.2 150.0 45.00
## 188 63 Female No Femoral STEMI 51.3 156.0 61.00
## 189 81 Female No Radial Unstable Angina 51.3 145.0 45.00
## 190 67 Male No Femoral STEMI 51.5 175.0 73.00
## 191 69 Female No Femoral STEMI 51.5 158.0 55.00
## 192 58 Male No Femoral STEMI 51.6 170.0 60.00
## 193 70 Female No Femoral Unstable Angina 51.6 150.0 45.00
## 194 56 Male No Femoral STEMI 51.7 172.0 80.00
## 195 63 Male No Femoral STEMI 51.7 165.0 60.00
## 196 54 Female No Radial NSTEMI 51.7 154.0 66.00
## 197 77 Male No Radial Unstable Angina 51.9 165.0 60.00
## 198 55 Male No Radial STEMI 52.0 164.0 60.00
## 199 48 Male No Radial STEMI 52.0 165.0 75.00
## 200 62 Male No Radial STEMI 52.0 170.0 62.00
## 201 65 Male Yes Radial STEMI 52.0 160.0 65.00
## 202 77 Male No Femoral STEMI 52.0 172.0 53.00
## 203 54 Male No Radial STEMI 52.0 175.0 80.00
## 204 38 Male No Radial STEMI 52.1 174.0 90.00
## 205 70 Female No Radial Unstable Angina 52.2 141.0 63.00
## 206 49 Male No Radial STEMI 52.4 177.0 86.00
## 207 69 Female No Radial Unstable Angina 52.4 155.0 60.00
## 208 67 Male No Radial Unstable Angina 52.4 160.0 50.00
## 209 36 Male No Femoral STEMI 52.5 184.0 76.00
## 210 70 Male Yes Radial STEMI 52.6 165.0 60.00
## 211 62 Male No Radial STEMI 52.6 161.0 58.00
## 212 56 Male No Radial STEMI 52.8 165.0 73.00
## 213 51 Male No Femoral STEMI 52.8 176.0 72.00
## 214 64 Female No Femoral NSTEMI 52.9 155.0 58.00
## 215 75 Male No Radial STEMI 53.0 170.0 55.00
## 216 41 Male No Radial Unstable Angina 53.0 171.0 86.00
## 217 53 Male No Radial STEMI 53.0 165.0 70.00
## 218 78 Female No Femoral STEMI 53.0 160.0 70.00
## 219 51 Female No Radial Unstable Angina 53.0 160.0 63.00
## 221 66 Male No Femoral Unstable Angina 53.2 164.0 54.00
## 222 68 Male No Femoral STEMI 53.5 160.0 59.00
## 223 61 Male No Femoral STEMI 53.6 158.0 65.00
## 224 59 Male No Radial NSTEMI 53.6 165.0 68.00
## 225 77 Female No Radial NSTEMI 53.7 155.0 55.00
## 226 49 Female No Radial STEMI 53.8 156.0 46.00
## 227 57 Male No Femoral Unstable Angina 53.8 169.0 55.00
## 228 52 Male No Radial STEMI 54.0 165.0 70.00
## 229 77 Female No Femoral STEMI 54.0 160.0 58.00
## 230 56 Male No Radial STEMI 54.0 169.0 70.00
## 231 46 Female No Radial STEMI 54.0 158.0 57.00
## 232 71 Female No Femoral Unstable Angina 54.0 140.0 47.00
## 233 62 Female No Femoral Unstable Angina 54.0 161.0 66.00
## 234 41 Male No Radial STEMI 54.2 178.0 72.00
## 235 69 Female No Radial NSTEMI 54.2 155.0 45.00
## 236 56 Male No Radial NSTEMI 54.2 170.0 71.00
## 237 70 Female No Radial Unstable Angina 54.3 155.0 60.00
## 238 67 Female No Radial STEMI 54.5 155.0 66.00
## 239 70 Female No Radial Unstable Angina 54.6 145.0 45.00
## 240 78 Male No Femoral Unstable Angina 54.6 175.0 74.00
## 241 87 Male No Radial Unstable Angina 54.7 165.0 62.00
## 242 81 Female No Radial STEMI 54.8 160.0 58.00
## 244 56 Male No Radial NSTEMI 54.8 170.0 76.00
## 245 78 Female No Femoral Unstable Angina 54.8 151.0 60.00
## 246 47 Male No Femoral STEMI 54.9 178.0 68.00
## 247 60 Male No Radial STEMI 54.9 183.0 83.00
## 248 69 Male No Femoral Unstable Angina 54.9 164.0 87.00
## 249 61 Male No Radial STEMI 55.0 160.0 65.00
## 250 52 Male No Radial STEMI 55.0 177.0 85.00
## 251 61 Male No Femoral STEMI 55.0 170.0 74.00
## 252 58 Male No Femoral STEMI 55.0 168.0 61.00
## 253 51 Male No Femoral NSTEMI 55.0 160.0 81.00
## 254 58 Male No Radial NSTEMI 55.0 174.0 74.00
## 255 35 Male No Radial Unstable Angina 55.0 170.0 87.00
## 256 71 Male No Radial STEMI 55.1 166.0 60.00
## 257 46 Male No Radial NSTEMI 55.1 165.0 63.00
## 258 40 Male No Femoral Unstable Angina 55.1 175.0 80.00
## 259 57 Male No Radial Unstable Angina 55.1 160.0 70.00
## 260 70 Male No Radial Unstable Angina 55.1 169.0 78.00
## 261 71 Male No Radial STEMI 55.2 165.0 50.00
## 262 45 Female No Femoral Unstable Angina 55.2 150.0 45.00
## 263 43 Male No Radial NSTEMI 55.3 180.0 78.00
## 264 41 Male No Femoral STEMI 55.4 170.0 69.00
## 265 57 Male No Radial Unstable Angina 55.4 153.0 53.00
## 266 74 Male No Femoral Unstable Angina 55.4 165.0 68.00
## 267 60 Male No Radial STEMI 55.5 172.0 85.00
## 268 57 Male No Femoral NSTEMI 55.5 169.0 68.00
## 269 51 Male No Femoral NSTEMI 55.5 178.0 85.00
## 270 37 Male No Femoral STEMI 55.6 174.0 75.00
## 271 90 Female No Radial Unstable Angina 55.6 141.0 52.00
## 272 76 Male Yes Femoral STEMI 55.7 172.0 82.00
## 273 58 Male Yes Radial STEMI 55.7 162.0 60.00
## 274 69 Female No Femoral STEMI 55.7 150.0 65.00
## 275 70 Female No Radial STEMI 55.7 160.0 58.00
## 276 50 Male No Femoral NSTEMI 55.7 170.0 72.00
## 277 74 Male No Radial NSTEMI 55.8 168.0 73.00
## 278 73 Male No Radial Unstable Angina 55.8 175.0 84.00
## 280 60 Male No Radial STEMI 55.9 160.0 50.00
## 281 60 Male No Radial STEMI 55.9 173.0 67.00
## 282 85 Female No Radial STEMI 55.9 154.0 55.00
## 284 72 Male No Radial Unstable Angina 56.0 178.0 70.00
## 285 70 Male No Radial STEMI 56.0 165.0 74.00
## 286 49 Male No Radial Unstable Angina 56.0 177.0 82.00
## 287 70 Male No Radial Unstable Angina 56.0 166.0 67.00
## 288 49 Male No Radial Unstable Angina 56.0 177.0 82.00
## 289 53 Male No Radial Unstable Angina 56.0 174.0 67.00
## 290 74 Female No Femoral Unstable Angina 56.0 150.0 57.00
## 291 49 Male No Femoral NSTEMI 56.0 172.0 74.00
## 292 43 Male No Radial STEMI 56.1 183.0 81.00
## 293 43 Male No Femoral STEMI 56.1 173.0 93.00
## 294 68 Male No Radial Unstable Angina 56.1 162.5 53.30
## 295 68 Male No Radial Unstable Angina 56.1 162.5 53.30
## 296 78 Male No Femoral NSTEMI 56.1 160.0 70.00
## 297 35 Male No Radial STEMI 56.2 171.0 70.00
## 298 52 Male No Femoral Unstable Angina 56.2 170.0 62.00
## 299 58 Male No Femoral Unstable Angina 56.2 165.0 78.00
## 300 67 Male No Radial Unstable Angina 56.2 170.0 62.00
## 301 76 Female No Femoral Unstable Angina 56.2 143.0 48.00
## 302 56 Male No Radial NSTEMI 56.3 163.0 62.00
## 303 55 Male No Radial STEMI 56.3 178.0 81.00
## 304 72 Male No Radial STEMI 56.3 165.0 64.00
## 305 46 Male No Radial NSTEMI 56.3 169.0 55.00
## 306 78 Female No Radial NSTEMI 56.4 149.0 50.00
## 307 58 Male No Femoral STEMI 56.4 160.0 67.00
## 308 58 Male No Femoral Unstable Angina 56.4 174.0 70.00
## 309 62 Male No Radial Unstable Angina 56.4 160.0 60.00
## 310 83 Female No Femoral STEMI 56.5 160.0 65.00
## 311 62 Male No Radial STEMI 56.5 165.0 75.00
## 312 65 Female No Radial STEMI 56.5 158.0 59.00
## 313 50 Male No Radial Unstable Angina 56.5 174.0 78.00
## 314 61 Male No Radial Unstable Angina 56.5 130.0 70.00
## 315 86 Female No Radial Unstable Angina 56.5 155.0 58.00
## 316 52 Male No Radial Unstable Angina 56.5 168.0 79.00
## 317 65 Male No Radial Unstable Angina 56.5 169.0 63.00
## 318 68 Male No Radial Unstable Angina 56.5 164.0 63.00
## 319 46 Male No Radial Unstable Angina 56.6 165.0 71.00
## 320 61 Male No Femoral STEMI 56.6 158.0 50.00
## 321 57 Male No Femoral STEMI 56.7 170.0 89.00
## 322 40 Male No Radial STEMI 56.7 173.0 76.00
## 323 69 Female No Femoral NSTEMI 56.7 158.0 80.00
## 324 71 Female No Radial STEMI 56.8 144.0 45.00
## 325 63 Male No Radial Unstable Angina 56.8 175.0 81.00
## 326 52 Male No Femoral STEMI 56.9 175.0 83.00
## 327 41 Male No Radial Unstable Angina 56.9 178.0 87.00
## 328 55 Male No Femoral STEMI 57.0 175.0 68.00
## 330 77 Male No Femoral Unstable Angina 57.1 168.0 63.00
## 331 67 Female No Radial Unstable Angina 57.2 168.0 52.00
## 332 65 Male No Femoral Unstable Angina 57.2 160.0 63.00
## 333 73 Male No Radial Unstable Angina 57.2 160.0 59.00
## 334 72 Male No Femoral Unstable Angina 57.3 161.0 63.00
## 335 61 Male No Femoral Unstable Angina 57.3 169.0 61.00
## 336 70 Female No Femoral Unstable Angina 57.3 145.0 45.00
## 337 59 Male No Radial Unstable Angina 57.3 159.0 57.00
## 338 59 Male No Radial Unstable Angina 57.3 160.0 70.00
## 339 47 Male No Radial STEMI 57.4 170.0 70.00
## 340 64 Male No Radial STEMI 57.4 168.0 57.00
## 341 44 Male No Femoral STEMI 57.4 180.0 97.00
## 342 53 Female No Radial Unstable Angina 57.4 151.0 58.00
## 343 69 Male No Femoral Unstable Angina 57.6 159.0 66.00
## 344 58 Male No Femoral Unstable Angina 57.6 162.0 73.00
## 345 64 Female No Radial Unstable Angina 57.7 165.0 74.00
## 346 77 Female No Femoral Unstable Angina 57.8 158.0 60.00
## 347 48 Male No Radial Unstable Angina 57.9 171.0 77.00
## 348 62 Male No Radial STEMI 57.9 168.0 73.00
## 349 66 Male No Radial STEMI 58.0 175.0 82.00
## 351 69 Male No Femoral STEMI 58.0 163.0 65.00
## 352 68 Male No Radial STEMI 58.0 165.0 63.00
## 353 41 Male No Radial Unstable Angina 58.0 169.0 70.00
## 354 68 Female No Femoral NSTEMI 58.0 155.0 51.00
## 355 75 Male No Radial NSTEMI 58.0 177.0 73.00
## 356 73 Male No Radial NSTEMI 58.0 165.0 60.00
## 357 56 Male No Radial STEMI 58.1 168.0 65.00
## 358 46 Male Yes Femoral STEMI 58.1 170.0 76.00
## 359 55 Male No Radial STEMI 58.1 163.0 68.00
## 360 61 Male No Femoral STEMI 58.1 168.0 74.00
## 361 68 Female No Radial Unstable Angina 58.1 158.0 60.00
## 362 55 Male No Femoral Unstable Angina 58.1 170.0 70.00
## 363 57 Female No Femoral STEMI 58.2 164.0 68.00
## 364 50 Male No Radial Unstable Angina 58.2 165.0 78.00
## 365 69 Male No Radial Unstable Angina 58.2 173.0 74.00
## 366 44 Male No Radial STEMI 58.3 175.0 90.00
## 367 38 Male No Radial STEMI 58.3 173.0 95.00
## 368 83 Male No Radial STEMI 58.3 165.0 67.00
## 369 70 Male No Radial STEMI 58.3 168.0 70.00
## 370 76 Female No Femoral STEMI 58.4 145.0 56.00
## 371 53 Female No Radial Unstable Angina 58.4 165.0 75.00
## 372 37 Male No Radial NSTEMI 58.4 163.0 66.00
## 373 49 Male No Radial NSTEMI 58.4 158.0 56.00
## 374 57 Male No Radial STEMI 58.5 170.0 75.00
## 375 51 Male No Radial NSTEMI 58.5 169.0 68.00
## 376 64 Male No Radial STEMI 58.6 157.0 64.00
## 377 53 Male No Radial STEMI 58.6 168.0 62.00
## 378 77 Male No Femoral Unstable Angina 58.6 160.0 59.00
## 379 46 Female No Femoral NSTEMI 58.6 155.0 55.00
## 380 65 Female No Radial STEMI 58.7 160.0 67.00
## 381 65 Female No Radial STEMI 58.7 160.0 67.00
## 382 77 Female No Femoral STEMI 58.7 150.0 50.00
## 384 67 Female No Radial Unstable Angina 58.7 150.0 50.00
## 385 37 Male No Radial STEMI 58.8 170.0 106.00
## 386 73 Male No Radial STEMI 58.8 160.0 45.00
## 387 51 Male No Radial NSTEMI 58.8 175.0 69.00
## 388 61 Male No Radial NSTEMI 58.8 164.0 78.00
## 389 71 Male No Femoral NSTEMI 58.8 168.0 70.00
## 390 81 Female No Radial STEMI 58.9 148.0 45.00
## 391 58 Male No Femoral STEMI 58.9 170.0 65.00
## 392 71 Male No Radial Unstable Angina 58.9 172.0 80.00
## 394 64 Female No Radial STEMI 59.0 165.0 71.00
## 395 59 Female No Radial STEMI 59.0 158.0 60.00
## 396 51 Male No Femoral STEMI 59.0 170.0 60.00
## 397 86 Male No Femoral STEMI 59.0 165.0 55.00
## 398 60 Male No Radial Unstable Angina 59.0 163.0 62.00
## 399 60 Female No Femoral Unstable Angina 59.0 151.0 66.00
## 400 71 Female No Femoral Unstable Angina 59.0 154.0 52.00
## 401 56 Male No Radial Unstable Angina 59.0 160.0 62.00
## 402 42 Male No Radial NSTEMI 59.1 172.0 73.00
## 403 68 Male No Femoral Unstable Angina 59.1 177.0 78.00
## 404 46 Female No Radial Unstable Angina 59.1 150.0 60.00
## 406 72 Male No Femoral Unstable Angina 59.1 170.0 56.00
## 407 66 Male No Femoral STEMI 59.2 170.0 65.00
## 408 81 Male No Radial Unstable Angina 59.2 167.0 50.00
## 409 60 Female No Femoral Unstable Angina 59.2 159.0 85.00
## 410 52 Male No Radial STEMI 59.3 163.0 70.00
## 411 75 Female No Radial Unstable Angina 59.3 155.0 55.00
## 412 48 Female No Radial NSTEMI 59.3 158.0 53.00
## 413 44 Male No Radial Unstable Angina 59.3 176.0 82.00
## 414 78 Female No Radial Unstable Angina 59.3 155.0 57.00
## 415 79 Male No Femoral STEMI 59.4 168.0 60.00
## 416 58 Male No Radial Unstable Angina 59.4 160.0 69.00
## 417 60 Male No Radial Unstable Angina 59.4 174.0 80.00
## 418 64 Male No Radial NSTEMI 59.4 167.0 62.00
## 419 57 Male No Radial NSTEMI 59.4 168.0 73.00
## 420 60 Male No Radial NSTEMI 59.4 167.0 66.00
## 421 72 Male No Radial Unstable Angina 59.5 165.0 78.00
## 422 57 Male No Femoral Unstable Angina 59.5 169.0 75.00
## 423 79 Female No Femoral Unstable Angina 59.5 150.0 55.00
## 424 59 Male No Radial Unstable Angina 59.5 174.0 78.00
## 425 65 Male No Radial Unstable Angina 59.5 167.0 74.00
## 426 61 Male No Radial Unstable Angina 59.5 167.0 68.00
## 427 75 Female No Radial Unstable Angina 59.5 152.0 61.00
## 428 55 Male No Radial NSTEMI 59.6 165.0 52.00
## 429 50 Male No Femoral Unstable Angina 59.6 160.0 67.00
## 430 45 Male No Femoral Unstable Angina 59.6 173.0 72.00
## 431 81 Female No Radial Unstable Angina 59.6 150.0 49.00
## 432 52 Male No Radial Unstable Angina 59.6 163.0 65.00
## 433 55 Male No Radial NSTEMI 59.7 166.0 65.00
## 434 59 Male No Femoral Unstable Angina 59.7 161.0 68.00
## 435 54 Female No Radial Unstable Angina 59.7 154.0 65.00
## 436 72 Male No Radial Unstable Angina 59.7 162.0 64.00
## 437 56 Male No Radial STEMI 59.8 170.0 80.00
## 438 65 Female No Femoral STEMI 59.8 145.0 45.00
## 440 49 Male No Radial Unstable Angina 59.8 180.0 97.00
## 441 51 Male No Femoral NSTEMI 59.8 172.0 70.00
## 442 48 Male Yes Femoral STEMI 59.9 173.0 67.00
## 443 56 Female No Radial Unstable Angina 59.9 159.0 65.00
## 444 65 Male No Femoral Unstable Angina 59.9 168.0 65.00
## 445 68 Male No Radial STEMI 60.0 175.0 75.00
## 446 73 Female No Femoral STEMI 60.0 150.0 44.00
## 447 68 Female No Radial STEMI 60.0 158.0 76.00
## 448 64 Male Yes Radial STEMI 60.0 165.0 63.00
## 449 71 Female No Radial Unstable Angina 60.0 145.0 50.00
## 450 53 Male No Femoral Unstable Angina 60.0 173.0 71.00
## 451 74 Female No Radial Unstable Angina 60.0 140.0 45.00
## 452 58 Male No Radial NSTEMI 60.0 170.0 75.00
## 453 55 Male No Radial Unstable Angina 60.0 167.0 62.00
## 455 48 Male No Femoral STEMI 60.1 164.0 72.00
## 456 75 Male No Radial Unstable Angina 60.1 163.0 50.00
## 457 28 Male No Radial NSTEMI 60.1 168.0 52.00
## 458 62 Female No Radial Unstable Angina 60.1 155.0 60.00
## 459 62 Male No Femoral STEMI 60.2 160.0 50.00
## 460 79 Female Yes Radial STEMI 60.2 155.0 60.00
## 461 53 Male No Radial Unstable Angina 60.2 162.0 68.00
## 462 67 Male No Radial Unstable Angina 60.2 163.0 60.00
## 463 68 Male No Radial Unstable Angina 60.2 173.0 75.00
## 464 70 Female No Radial Unstable Angina 60.2 152.0 56.00
## 465 54 Male No Radial Unstable Angina 60.2 162.0 67.00
## 466 76 Female No Radial Unstable Angina 60.4 155.0 55.00
## 467 47 Male No Radial NSTEMI 60.4 175.0 76.00
## 468 56 Male No Radial NSTEMI 60.5 172.0 61.00
## 469 70 Male No Femoral Unstable Angina 60.5 168.0 65.00
## 470 68 Female No Radial STEMI 60.6 164.0 75.00
## 471 79 Female No Radial Unstable Angina 60.6 148.0 40.00
## 472 47 Male No Femoral NSTEMI 60.6 170.0 78.00
## 473 62 Male Yes Femoral STEMI 60.7 171.0 48.00
## 474 66 Male No Radial Unstable Angina 60.7 169.0 63.00
## 475 48 Male No Radial Unstable Angina 60.7 171.0 62.00
## 476 73 Male No Radial Unstable Angina 60.8 170.0 70.00
## 477 81 Male Yes Radial STEMI 61.0 170.0 77.00
## 478 77 Male No Radial STEMI 61.0 167.0 66.00
## 479 73 Female No Femoral STEMI 61.0 160.0 60.00
## 480 49 Female No Femoral STEMI 61.0 157.0 55.00
## 481 68 Male No Femoral STEMI 61.0 170.0 75.00
## 482 36 Male No Femoral STEMI 61.0 178.0 68.00
## 483 65 Female No Radial Unstable Angina 61.0 164.0 62.00
## 484 75 Male No Radial Unstable Angina 61.0 165.0 72.00
## 485 50 Male No Radial Unstable Angina 61.0 170.0 60.00
## 486 75 Male No Radial Unstable Angina 61.0 165.0 72.00
## 487 73 Female No Femoral Unstable Angina 61.0 152.0 57.00
## 488 85 Female No Radial Unstable Angina 61.0 153.0 65.00
## 490 43 Female No Radial Unstable Angina 61.0 164.0 56.00
## 491 57 Male No Radial Unstable Angina 61.0 168.0 72.00
## 492 55 Male No Radial Unstable Angina 61.0 168.0 82.00
## 493 81 Male No Radial STEMI 61.0 170.0 77.00
## 494 55 Male No Femoral STEMI 61.1 176.0 90.00
## 495 59 Male No Radial Unstable Angina 61.2 175.0 78.00
## 496 79 Female No Radial Unstable Angina 61.2 140.0 45.00
## 497 58 Male No Radial Unstable Angina 61.2 166.0 63.00
## 498 63 Female No Femoral NSTEMI 61.3 153.0 90.00
## 499 58 Male Yes Radial STEMI 61.3 161.0 66.00
## 500 63 Female Yes Femoral STEMI 61.3 159.0 63.00
## 501 52 Male No Radial STEMI 61.3 163.0 64.00
## 502 64 Female No Radial Unstable Angina 61.3 155.0 46.00
## 503 62 Male No Radial NSTEMI 61.3 165.0 72.00
## 504 67 Male No Radial STEMI 61.4 163.0 66.00
## 505 65 Male No Radial NSTEMI 61.4 173.0 67.00
## 506 51 Male No Femoral Unstable Angina 61.4 173.0 79.00
## 507 48 Female No Radial STEMI 61.5 165.0 58.00
## 508 42 Female No Femoral NSTEMI 61.5 160.0 73.00
## 510 78 Male No Femoral NSTEMI 61.5 178.0 73.00
## 511 75 Male No Radial STEMI 61.6 162.0 45.00
## 512 61 Female No Radial STEMI 61.6 155.0 75.00
## 513 45 Male No Radial STEMI 61.6 166.0 70.00
## 514 55 Female No Femoral NSTEMI 61.6 153.0 62.00
## 515 42 Male No Radial NSTEMI 61.6 163.0 71.00
## 516 82 Female No Femoral NSTEMI 61.7 150.0 50.00
## 517 53 Male No Radial NSTEMI 61.7 164.0 70.00
## 518 49 Female No Radial Unstable Angina 61.7 162.0 67.00
## 519 75 Female No Radial STEMI 61.8 157.0 61.00
## 520 79 Female No Femoral NSTEMI 61.8 140.0 66.00
## 521 47 Female No Radial STEMI 61.8 153.0 70.00
## 522 83 Female No Radial NSTEMI 61.8 149.0 49.00
## 523 78 Male No Radial NSTEMI 61.8 165.0 70.00
## 524 82 Female No Femoral NSTEMI 61.8 158.0 65.00
## 525 80 Female No Femoral STEMI 61.9 156.0 57.00
## 526 80 Female No Femoral STEMI 61.9 156.0 57.00
## 527 58 Male No Radial NSTEMI 61.9 177.0 79.00
## 528 69 Female No Femoral NSTEMI 61.9 158.0 64.00
## 529 67 Male No Radial STEMI 62.0 165.0 56.00
## 530 51 Male No Radial STEMI 62.0 170.0 95.00
## 531 62 Male No Radial STEMI 62.0 170.0 80.00
## 533 59 Male No Radial NSTEMI 62.0 168.0 75.00
## 534 44 Female No Radial Unstable Angina 62.0 150.0 51.00
## 535 56 Male No Radial Unstable Angina 62.0 170.0 75.00
## 536 49 Male No Radial Unstable Angina 62.0 172.0 68.00
## 537 59 Male No Radial NSTEMI 62.2 172.0 86.00
## 538 48 Female No Radial Unstable Angina 62.2 153.0 51.00
## 539 47 Female No Radial Unstable Angina 62.2 160.0 58.00
## 540 56 Male No Radial Unstable Angina 62.2 174.0 83.00
## 541 81 Male No Radial STEMI 62.3 172.0 55.00
## 542 51 Female No Femoral STEMI 62.4 161.0 63.00
## 543 85 Female No Radial Unstable Angina 62.4 130.0 30.00
## 544 74 Male No Radial Unstable Angina 62.4 163.0 71.00
## 545 50 Female No Radial Unstable Angina 62.4 152.0 60.00
## 546 56 Female No Femoral Unstable Angina 62.5 157.0 58.00
## 547 64 Male No Radial Unstable Angina 62.6 162.0 80.00
## 548 55 Female No Femoral Unstable Angina 62.6 154.0 72.00
## 549 50 Male No Radial NSTEMI 62.6 168.0 63.00
## 550 84 Male No Femoral STEMI 62.7 168.0 79.00
## 551 64 Male No Radial Unstable Angina 62.7 163.0 62.00
## 552 70 Male No Radial NSTEMI 62.7 165.0 65.00
## 553 68 Female No Radial Unstable Angina 62.7 148.0 52.00
## 554 48 Male No Radial Unstable Angina 62.8 164.0 60.00
## 555 61 Male No Radial Unstable Angina 62.8 165.0 67.00
## 556 49 Female No Femoral Unstable Angina 62.8 150.0 48.00
## 557 55 Male No Femoral NSTEMI 62.9 164.0 73.00
## 559 78 Male No Radial STEMI 63.0 160.0 58.00
## 560 87 Female No Femoral Unstable Angina 63.0 140.0 42.00
## 561 75 Male No Femoral Unstable Angina 63.0 153.0 63.00
## 562 76 Female No Radial Unstable Angina 63.0 153.0 50.00
## 563 66 Male No Femoral Unstable Angina 63.0 168.0 61.00
## 564 80 Male No Radial Unstable Angina 63.0 170.0 78.00
## 565 52 Female No Femoral Unstable Angina 63.0 158.0 60.00
## 566 70 Female No Femoral STEMI 63.1 153.0 43.00
## 567 52 Male No Radial STEMI 63.1 172.0 76.00
## 568 75 Female No Radial Unstable Angina 63.1 144.0 39.00
## 569 51 Male No Radial Unstable Angina 63.2 168.0 62.00
## 570 41 Male No Radial STEMI 63.3 163.0 64.00
## 571 64 Female No Radial NSTEMI 63.3 155.0 62.00
## 572 62 Female No Radial STEMI 63.4 156.0 52.00
## 573 70 Female No Radial STEMI 63.4 160.0 62.00
## 574 63 Female Yes Femoral STEMI 63.4 150.0 66.00
## 575 67 Female No Radial Unstable Angina 63.4 147.0 51.00
## 576 80 Female No Radial NSTEMI 63.4 158.0 51.00
## 577 80 Female No Radial Unstable Angina 63.4 148.0 57.00
## 578 49 Female No Femoral Unstable Angina 63.5 159.0 63.00
## 580 49 Male No Radial Unstable Angina 63.5 170.0 68.00
## 581 72 Male No Femoral Unstable Angina 63.5 160.0 58.00
## 582 79 Female No Femoral NSTEMI 63.6 154.0 61.00
## 583 78 Female No Femoral Unstable Angina 63.6 145.0 58.00
## 584 54 Male No Radial NSTEMI 63.7 175.0 74.00
## 585 65 Male No Radial Unstable Angina 63.7 170.0 77.00
## 586 62 Male No Femoral Unstable Angina 63.7 182.0 66.00
## 587 62 Male No Radial Unstable Angina 63.7 168.0 64.00
## 588 70 Male Yes Femoral STEMI 63.8 172.0 72.00
## 589 67 Male No Radial Unstable Angina 63.8 166.0 45.00
## 590 75 Female No Radial NSTEMI 63.8 153.0 55.00
## 591 67 Male No Radial Unstable Angina 63.8 166.0 45.00
## 592 69 Male No Radial NSTEMI 63.8 158.0 65.00
## 594 54 Male No Femoral Unstable Angina 63.8 151.0 68.00
## 595 62 Male No Radial Unstable Angina 63.9 172.0 76.00
## 596 65 Female No Femoral Unstable Angina 63.9 150.0 43.00
## 597 78 Female No Radial Unstable Angina 63.9 150.0 40.00
## 598 57 Male No Radial NSTEMI 64.0 163.0 55.00
## 599 51 Male No Radial NSTEMI 64.0 176.0 80.00
## 600 74 Male No Radial NSTEMI 64.0 168.0 70.00
## 601 78 Female No Radial Unstable Angina 64.0 155.0 60.00
## 602 71 Female No Femoral Unstable Angina 64.0 150.0 48.00
## 603 65 Female No Radial NSTEMI 64.0 161.0 51.00
## 604 85 Male No Radial Unstable Angina 64.1 171.0 60.00
## 605 44 Male No Radial Unstable Angina 64.2 176.0 73.00
## 606 54 Male No Radial Unstable Angina 64.2 170.0 66.00
## 607 73 Female No Radial Unstable Angina 64.2 165.0 62.00
## 608 53 Male No Femoral Unstable Angina 64.2 160.0 63.00
## 609 59 Male No Femoral Unstable Angina 64.2 170.0 85.00
## 610 68 Female No Radial Unstable Angina 64.3 154.0 76.00
## 611 49 Male No Radial Unstable Angina 64.3 185.0 100.00
## 612 59 Male No Radial Unstable Angina 64.3 174.0 67.00
## 613 65 Male No Radial NSTEMI 64.3 160.0 70.80
## 614 75 Female No Radial Unstable Angina 64.3 158.0 67.00
## 615 74 Female No Femoral STEMI 64.5 150.0 59.00
## 616 67 Female No Radial Unstable Angina 64.5 165.0 66.00
## 617 57 Female No Femoral Unstable Angina 64.5 150.0 65.00
## 618 51 Female No Femoral Unstable Angina 64.6 164.0 42.00
## 619 51 Female No Femoral NSTEMI 64.6 164.0 42.00
## 620 45 Male No Femoral STEMI 64.7 174.0 74.00
## 621 61 Male No Radial Unstable Angina 64.8 170.0 72.00
## 622 66 Male No Femoral Unstable Angina 64.8 167.0 71.00
## 623 53 Female No Radial Unstable Angina 64.8 150.0 53.00
## 624 66 Male No Radial Unstable Angina 64.8 168.0 69.00
## 625 65 Male No Femoral STEMI 64.9 169.0 68.00
## 626 62 Female No Femoral STEMI 64.9 158.0 67.00
## 627 68 Male No Radial NSTEMI 65.0 159.0 59.00
## 629 60 Male No Radial STEMI 65.0 168.0 70.00
## 630 65 Male No Femoral Unstable Angina 65.0 167.0 55.00
## 631 80 Female No Radial NSTEMI 65.0 140.0 40.00
## 632 73 Female No Radial Unstable Angina 65.0 151.0 60.00
## 633 64 Male No Radial NSTEMI 65.0 168.0 69.00
## 634 70 Female No Femoral Unstable Angina 65.0 140.0 56.00
## 635 41 Male No Radial Unstable Angina 65.0 152.0 50.00
## 636 70 Female No Femoral Unstable Angina 65.2 151.0 55.00
## 637 57 Female No Femoral Unstable Angina 65.3 151.0 94.00
## 638 71 Female No Radial Unstable Angina 65.3 148.0 55.00
## 639 77 Male No Radial STEMI 65.4 167.0 55.00
## 640 69 Female No Femoral Unstable Angina 65.4 151.0 67.00
## 641 58 Male No Femoral Unstable Angina 65.4 160.0 66.00
## 642 68 Male No Radial Unstable Angina 65.5 169.0 80.00
## 643 74 Female No Femoral Unstable Angina 65.5 160.0 55.00
## 644 67 Male No Radial Unstable Angina 65.6 173.0 81.00
## 645 51 Male Yes Radial STEMI 65.7 168.0 70.00
## 646 60 Male No Radial Unstable Angina 65.7 167.0 78.00
## 647 60 Male No Radial Unstable Angina 65.7 167.0 78.00
## 648 66 Female No Radial Unstable Angina 65.8 158.0 63.00
## 649 88 Female No Femoral NSTEMI 65.8 150.0 50.00
## 650 63 Male No Radial NSTEMI 65.9 160.0 70.00
## 651 88 Male No Radial Unstable Angina 66.0 168.0 55.00
## 652 40 Male No Femoral NSTEMI 66.0 168.0 62.00
## 653 52 Male No Radial Unstable Angina 66.0 178.0 99.00
## 654 65 Female No Radial Unstable Angina 66.0 151.0 57.00
## 655 79 Female No Radial Unstable Angina 66.0 154.0 63.00
## 656 73 Male No Femoral Unstable Angina 66.1 160.0 60.00
## 657 53 Female No Femoral Unstable Angina 66.1 150.0 61.00
## 658 74 Female No Femoral Unstable Angina 66.2 153.0 55.00
## 659 61 Male No Radial Unstable Angina 66.2 183.0 112.00
## 660 56 Male No Radial Unstable Angina 66.3 176.0 70.00
## 661 75 Female No Radial Unstable Angina 66.3 158.0 60.00
## 662 72 Female No Radial Unstable Angina 66.3 153.0 45.00
## 663 56 Male No Radial Unstable Angina 66.4 166.0 55.00
## 664 68 Male No Femoral Unstable Angina 66.4 163.0 59.00
## 665 48 Male No Radial Unstable Angina 66.4 161.0 57.00
## 666 41 Male No Radial Unstable Angina 66.4 163.0 57.00
## 667 87 Male No Radial Unstable Angina 66.4 168.0 55.00
## 669 64 Female No Radial Unstable Angina 66.5 160.0 62.00
## 670 69 Male No Femoral NSTEMI 66.7 179.0 70.00
## 671 73 Male No Radial Unstable Angina 66.7 170.0 76.00
## 672 55 Male Yes Femoral STEMI 66.9 178.0 65.00
## 673 79 Male No Radial Unstable Angina 66.9 169.0 77.00
## 674 68 Male No Radial Unstable Angina 66.9 165.0 67.00
## 675 68 Male No Radial Unstable Angina 66.9 165.0 65.00
## 676 65 Female No Femoral STEMI 67.0 158.0 64.00
## 677 58 Male No Radial Unstable Angina 67.0 167.0 67.00
## 678 72 Male No Femoral Unstable Angina 67.0 164.0 50.00
## 679 68 Male No Radial Unstable Angina 67.0 180.0 82.00
## 680 70 Female Yes Femoral STEMI 67.1 150.0 44.00
## 681 41 Male No Radial NSTEMI 67.1 175.0 92.00
## 682 44 Male No Radial STEMI 67.2 173.0 69.00
## 683 67 Male No Radial Unstable Angina 67.2 169.0 69.00
## 684 61 Male No Radial Unstable Angina 67.2 160.0 67.00
## 685 51 Male No Radial Unstable Angina 67.2 167.0 73.00
## 686 64 Male No Radial Unstable Angina 67.4 155.0 53.00
## 688 56 Male No Femoral Unstable Angina 67.5 166.0 76.00
## 689 74 Female No Radial Unstable Angina 67.6 155.0 61.00
## 690 75 Female No Radial Unstable Angina 67.7 140.0 50.00
## 692 67 Female No Femoral Unstable Angina 68.0 160.0 60.00
## 693 77 Female No Radial Unstable Angina 68.0 157.0 57.00
## 694 52 Male No Radial Unstable Angina 68.0 169.0 69.00
## 695 39 Female No Radial Unstable Angina 68.2 159.0 54.00
## 697 52 Female No Femoral Unstable Angina 68.4 148.0 60.00
## 698 41 Male No Radial Unstable Angina 68.6 180.0 84.00
## 699 66 Male No Femoral NSTEMI 69.0 170.0 67.00
## 700 67 Male No Radial Unstable Angina 69.1 170.0 51.00
## 701 46 Male No Radial Unstable Angina 69.7 165.0 71.00
## 702 68 Male No Femoral Unstable Angina 69.9 170.0 54.00
## 703 71 Female No Femoral Unstable Angina 70.0 145.0 58.00
## 705 73 Female No Radial Unstable Angina 70.0 148.0 51.00
## 706 83 Female No Radial Unstable Angina 70.2 145.0 60.00
## 707 76 Female No Radial Unstable Angina 70.2 150.0 70.00
## 708 68 Female No Radial Unstable Angina 71.1 158.0 56.00
## 709 51 Male No Radial Unstable Angina 71.5 175.0 70.00
## 710 61 Male No Radial Unstable Angina 71.6 165.0 74.00
## 711 61 Male No Radial Unstable Angina 71.9 165.0 55.00
## 712 66 Female No Femoral Unstable Angina 71.9 160.0 60.00
## 713 47 Male No Radial NSTEMI 72.0 170.0 67.00
## 715 59 Male No Radial Unstable Angina 73.0 170.0 64.00
## 717 77 Male No Radial Unstable Angina 74.0 172.0 76.00
## 718 62 Male No Femoral NSTEMI 74.0 163.0 74.00
## 719 62 Female No Radial NSTEMI 75.0 160.0 68.00
## 720 40 Male No Femoral Unstable Angina 78.1 169.0 74.00
## 721 40 Male No Femoral Unstable Angina 78.1 169.0 74.00
## 722 91 Male No Radial Unstable Angina 79.0 170.0 60.00
## 724 59 Male No Femoral STEMI NA 176.0 78.00
## 734 40 Male No Radial STEMI NA 180.0 76.00
## 740 61 Male No Radial STEMI NA 161.0 58.00
## 741 62 Female No Radial STEMI NA 162.0 70.00
## 743 43 Male No Radial Unstable Angina NA 173.0 95.00
## 744 53 Male No Radial STEMI NA 174.0 80.00
## 745 40 Male No Radial STEMI NA 170.0 62.00
## 746 78 Female No Femoral Unstable Angina NA 156.0 67.00
## 747 61 Male Yes Radial STEMI NA 158.0 67.00
## 748 47 Male No Femoral STEMI NA 174.0 69.00
## 749 73 Male No Radial NSTEMI NA 167.0 60.00
## 754 70 Male Yes Radial STEMI NA 166.0 65.00
## 763 63 Male Yes Femoral NSTEMI NA 168.0 70.00
## 764 76 Female No Femoral NSTEMI NA 152.0 46.00
## 765 69 Male No Radial Unstable Angina NA 165.0 65.00
## 766 59 Male No Radial Unstable Angina NA 174.0 78.00
## 767 70 Male No Femoral Unstable Angina NA 163.0 74.00
## 768 61 Male No Femoral Unstable Angina NA 172.0 68.00
## 769 67 Male No Radial Unstable Angina NA 170.0 62.00
## 772 57 Male No Radial Unstable Angina NA 165.0 72.00
## 775 62 Male No Radial Unstable Angina NA 160.0 63.70
## 784 47 Female No Radial Unstable Angina NA 158.0 67.00
## 785 61 Male No Femoral Unstable Angina NA 169.0 68.00
## 787 71 Male No Femoral NSTEMI NA 169.0 61.00
## 789 59 Male No Radial Unstable Angina NA 167.0 64.00
## 790 77 Female No Radial Unstable Angina NA 145.0 65.00
## 792 72 Male No Radial Unstable Angina NA 167.0 65.00
## 794 59 Male No Femoral Unstable Angina NA 167.0 63.00
## 796 74 Female No Radial Unstable Angina NA 149.5 63.00
## 797 60 Male No Radial Unstable Angina NA 167.0 74.00
## 798 62 Male No Femoral Unstable Angina NA 175.0 75.00
## 806 69 Female No Radial Unstable Angina NA 151.0 52.00
## 808 70 Female No Femoral Unstable Angina NA 135.0 48.70
## 809 67 Female No Radial Unstable Angina NA 147.0 55.20
## 810 71 Female No Radial Unstable Angina NA 154.0 62.00
## 811 69 Male No Radial NSTEMI NA 170.0 69.00
## 812 80 Female No Radial NSTEMI NA 143.5 42.50
## 813 51 Male No Radial Unstable Angina NA 165.0 60.00
## 814 75 Female No Radial Unstable Angina NA 155.0 60.00
## 815 71 Female No Femoral Unstable Angina NA 156.0 59.00
## 816 47 Male No Radial Unstable Angina NA 173.0 60.00
## 817 55 Male No Radial Unstable Angina NA 178.0 60.00
## 818 73 Female No Radial Unstable Angina NA 152.0 50.00
## 819 65 Male No Radial Unstable Angina NA 168.0 60.00
## 820 55 Male No Radial Unstable Angina NA 168.0 78.00
## 821 47 Male No Radial Unstable Angina NA 171.0 82.00
## 822 65 Female No Femoral Unstable Angina NA 153.0 48.00
## 823 63 Female No Femoral Unstable Angina NA 165.0 63.00
## 824 73 Male No Radial Unstable Angina NA 171.0 80.00
## 825 67 Male No Radial Unstable Angina NA 170.0 61.00
## 826 42 Male No Radial Unstable Angina NA 171.0 84.00
## 827 44 Male No Radial Unstable Angina NA NA 76.00
## 828 56 Male No Radial Unstable Angina NA 170.0 95.00
## 829 79 Female No Radial Unstable Angina NA 155.0 58.00
## 830 78 Female No Radial Unstable Angina NA 150.0 50.00
## 831 61 Male No Radial Unstable Angina NA 164.0 85.00
## 832 69 Female No Radial Unstable Angina NA NA 50.00
## 833 64 Male No Radial Unstable Angina NA 167.0 82.00
## 835 65 Male No Radial Unstable Angina NA 165.0 70.00
## 836 47 Female No Femoral Unstable Angina NA 156.0 61.65
## 837 60 Female No Radial Unstable Angina NA 150.0 51.90
## 838 74 Female No Femoral Unstable Angina NA 160.0 72.50
## 839 67 Male No Femoral Unstable Angina NA 168.0 63.60
## 840 61 Male No Radial Unstable Angina NA 162.0 64.90
## 841 55 Male No Radial Unstable Angina NA 172.0 71.00
## 843 57 Male No Femoral Unstable Angina NA 170.0 71.00
## 844 57 Female No Radial Unstable Angina NA 159.0 72.00
## 845 61 Male No Radial Unstable Angina NA 172.0 70.00
## 846 55 Male No Radial Unstable Angina NA 167.0 72.00
## 848 61 Male No Radial Unstable Angina NA 169.0 88.00
## 849 67 Female No Radial Unstable Angina NA 162.0 58.00
## 850 73 Female No Radial Unstable Angina NA 157.0 72.00
## 851 71 Male No Femoral NSTEMI NA 169.0 61.00
## 853 69 Female No Radial Unstable Angina NA 153.0 66.45
## 854 86 Female No Radial Unstable Angina NA 142.5 50.40
## 855 78 Female No Radial Unstable Angina NA 158.0 60.00
## 856 67 Male No Femoral Unstable Angina NA 156.0 64.00
## BMI obesity TC LDLC HDLC TG DM HBP smoking
## 1 25.51020 Yes 215.0 154 35 155 Yes No Smoker
## 2 21.91381 No NA NA NA 166 No Yes Never
## 4 18.36547 No 121.0 73 20 89 No No Never
## 5 24.38653 No 195.0 151 36 63 Yes Yes Smoker
## 6 25.20398 Yes 184.0 112 38 137 Yes Yes Never
## 7 27.96802 Yes 161.0 91 34 196 Yes Yes Ex-smoker
## 8 19.53125 No 136.0 88 33 30 Yes Yes Ex-smoker
## 9 28.99931 Yes 239.0 161 34 118 Yes Yes Never
## 10 21.25850 No 169.0 88 54 141 Yes No Smoker
## 11 19.59184 No 272.0 212 32 52 Yes No Ex-smoker
## 12 25.88757 Yes 184.0 123 43 72 Yes Yes Never
## 13 23.79536 No 239.0 150 42 156 Yes Yes Never
## 14 22.66667 No 171.0 94 46 120 Yes No Never
## 15 19.62826 No 130.0 78 31 139 No No Ex-smoker
## 17 23.37258 No 169.0 114 35 63 Yes Yes Smoker
## 19 23.18367 No 173.0 107 32 115 No Yes Smoker
## 20 36.52301 Yes 201.0 122 42 77 No No Ex-smoker
## 21 22.72044 No 125.0 53 55 30 Yes Yes Smoker
## 22 19.43301 No 108.0 57 41 30 No Yes Smoker
## 23 24.60973 No 151.0 87 40 117 No No Ex-smoker
## 24 23.78121 No 233.0 139 44 95 No Yes Never
## 25 24.22145 No 164.0 114 35 66 No No Smoker
## 26 18.73049 No 174.0 86 37 183 Yes Yes Never
## 27 23.14050 No 225.0 151 32 148 No No Smoker
## 28 23.30668 No 148.0 94 37 56 Yes Yes Smoker
## 29 23.43750 No NA NA NA NA Yes Yes Never
## 30 21.22281 No 208.0 152 36 47 Yes No Smoker
## 31 19.97919 No 188.0 118 53 52 No No Smoker
## 32 23.14050 No 185.0 92 66 71 Yes Yes Never
## 33 27.34375 Yes 214.0 145 45 99 No Yes Ex-smoker
## 34 20.24490 No 181.0 120 41 76 Yes Yes Smoker
## 35 25.51020 Yes 159.0 89 31 115 No Yes Smoker
## 36 20.57613 No 127.0 61 33 76 No No Ex-smoker
## 37 21.35931 No 212.0 147 48 83 No No Never
## 38 20.19509 No 250.0 162 68 95 No No Ex-smoker
## 39 18.08021 No 132.0 74 29 156 No No Never
## 40 26.21882 Yes 195.0 125 48 89 Yes Yes Never
## 41 31.22130 Yes 272.0 196 56 58 No Yes Smoker
## 42 31.11111 Yes 131.0 86 21 102 Yes Yes Never
## 43 24.80159 No 105.0 265 35 126 Yes No Smoker
## 44 25.34435 Yes 140.0 77 45 122 Yes Yes Never
## 45 23.87543 No 133.0 82 21 92 No Yes Ex-smoker
## 46 25.52964 Yes 198.0 133 42 54 No Yes Never
## 47 25.59374 Yes 276.0 169 33 233 Yes Yes Smoker
## 48 29.21841 Yes 117.0 60 24 160 Yes Yes Never
## 49 21.09375 No 86.0 42 19 78 No Yes Ex-smoker
## 50 18.59012 No 159.0 64 62 29 No Yes Never
## 51 21.82995 No 223.0 89 31 416 Yes Yes Smoker
## 52 19.84127 No 165.0 112 42 107 No Yes Never
## 53 32.56189 Yes 208.0 140 25 243 No No Smoker
## 54 25.24934 Yes 195.0 147 37 88 No No Smoker
## 55 22.77319 No 134.0 82 40 67 Yes Yes Never
## 56 27.54821 Yes 194.0 147 30 60 No Yes Never
## 57 24.97399 No 187.0 108 35 209 Yes Yes Never
## 58 21.96712 No 164.0 103 34 101 No No Smoker
## 59 24.44444 No 176.0 79 54 134 Yes Yes Never
## 60 27.54821 Yes 186.0 133 47 67 No Yes Smoker
## 61 20.79673 No 125.0 27 75 37 No No Never
## 62 21.97134 No 165.0 110 45 29 No No Smoker
## 63 26.83865 Yes 223.0 143 48 115 Yes No Smoker
## 64 25.95156 Yes 140.0 89 28 85 Yes Yes Smoker
## 65 19.47341 No 212.0 125 48 88 No No Never
## 66 22.06035 No 189.0 107 49 89 No No Never
## 67 27.34375 Yes 174.0 127 21 177 Yes Yes Never
## 68 22.67574 No 154.0 81 31 36 Yes Yes Smoker
## 69 26.98962 Yes 231.0 167 41 90 No No Ex-smoker
## 70 24.74094 No 309.0 222 48 182 No No Never
## 71 20.02884 No 175.0 95 46 37 No Yes Ex-smoker
## 72 28.30533 Yes 231.0 NA 27 389 No Yes Ex-smoker
## 73 18.36900 No 208.0 154 37 112 Yes No Never
## 74 22.32143 No 221.0 155 56 58 No No Smoker
## 75 20.70082 No 154.0 87 48 67 No Yes Never
## 76 21.48438 No 221.0 166 51 71 No No Smoker
## 77 20.90420 No 221.0 147 47 127 No Yes Smoker
## 78 24.16716 No 152.0 114 16 16 No No Ex-smoker
## 79 22.03857 No 127.0 70 42 61 No Yes Ex-smoker
## 80 18.90204 No 126.0 71 27 84 Yes Yes Never
## 81 22.83288 No 166.0 112 38 76 No Yes Never
## 82 21.41094 No 126.0 72 24 94 No Yes Never
## 83 22.66667 No 195.0 131 36 140 Yes Yes Never
## 84 25.24934 Yes 174.0 115 19 151 Yes No Smoker
## 85 18.01721 No 99.0 68 24 82 No No Never
## 86 24.21875 No 178.0 92 68 42 No Yes Never
## 87 22.58271 No NA NA NA 50 Yes No Ex-smoker
## 88 23.03005 No 185.0 141 26 96 No No Smoker
## 90 26.57313 Yes 248.0 155 40 138 No No Smoker
## 91 24.44444 No 246.0 141 7 70 Yes Yes Ex-smoker
## 92 25.18079 Yes 231.0 95 58 93 No Yes Ex-smoker
## 93 25.39062 Yes 160.0 100 31 119 Yes Yes Never
## 94 22.85714 No 202.0 34 14 106 No No Smoker
## 95 21.25850 No 140.0 85 25 142 No Yes Smoker
## 96 22.98190 No 196.0 96 28 446 No No Smoker
## 97 21.07720 No 225.0 64 77 91 No Yes Smoker
## 98 22.10029 No 258.0 195 41 97 Yes No Smoker
## 99 20.28123 No 173.0 123 28 76 No Yes Ex-smoker
## 100 22.03857 No 227.0 154 35 108 Yes Yes Never
## 101 16.65249 No 154.0 102 37 44 No No Smoker
## 103 24.44444 No 141.0 65 38 44 No Yes Ex-smoker
## 104 24.69136 No 103.0 52 31 68 Yes Yes Smoker
## 105 22.10029 No 251.0 161 55 109 Yes Yes Never
## 106 28.88889 Yes 88.0 29 38 80 No Yes Never
## 107 23.43750 No 89.0 36 34 120 No Yes Never
## 109 22.23099 No 178.0 131 45 27 No Yes Ex-smoker
## 110 25.21625 Yes 139.0 90 38 74 No Yes Ex-smoker
## 111 21.92886 No 164.0 102 35 92 No No Smoker
## 112 24.76757 No 209.0 140 36 212 Yes Yes Ex-smoker
## 113 21.67126 No 234.0 153 56 109 No No Smoker
## 114 20.54989 No 126.0 63 48 62 Yes Yes Ex-smoker
## 115 24.91349 No NA NA NA NA Yes Yes Ex-smoker
## 116 26.53376 Yes 164.0 111 38 91 Yes Yes Smoker
## 118 24.34176 No 174.0 103 10 129 No Yes Ex-smoker
## 119 25.14861 Yes 179.0 119 31 120 No Yes Never
## 120 23.43750 No 25.0 96 10 26 No No Smoker
## 121 23.87511 No 164.0 109 33 40 No Yes Smoker
## 122 26.07897 Yes 184.0 124 29 414 Yes No Smoker
## 123 24.97399 No 180.0 132 40 60 Yes Yes Ex-smoker
## 124 24.67702 No 278.0 188 37 146 Yes Yes Ex-smoker
## 125 19.59184 No 143.0 91 33 50 No No Smoker
## 126 23.43750 No 222.0 161 40 118 No No Never
## 127 23.33547 No 160.0 81 41 166 No No Ex-smoker
## 128 25.25952 Yes 258.0 189 36 66 Yes No Smoker
## 129 20.76125 No 221.0 108 44 178 Yes Yes Never
## 130 21.07720 No 277.0 194 40 154 No Yes Smoker
## 131 27.43725 Yes 212.0 128 50 45 No Yes Never
## 132 22.22222 No 151.0 96 43 39 No No Smoker
## 133 27.61341 Yes 165.0 105 39 85 No Yes Never
## 134 23.71961 No 172.0 116 35 58 Yes No Ex-smoker
## 135 20.02884 No 166.0 98 39 113 Yes No Smoker
## 137 23.12062 No 210.0 153 44 54 No No Never
## 138 30.47797 Yes 197.0 131 42 143 No Yes Smoker
## 139 20.70082 No 148.0 84 37 103 No Yes Never
## 140 22.65625 No 159.0 91 45 67 No Yes Never
## 141 23.30905 No 315.0 205 75 80 Yes Yes Never
## 142 24.60938 No 210.0 167 27 130 No No Smoker
## 143 22.09317 No 160.0 112 32 142 No No Never
## 144 26.12245 Yes 208.0 151 41 224 No Yes Smoker
## 145 22.89282 No 165.0 83 50 63 Yes No Never
## 146 23.52941 No 181.0 113 38 33 No No Smoker
## 147 26.92744 Yes 199.0 132 38 211 No No Ex-smoker
## 148 25.20920 Yes 207.0 146 30 101 Yes No Ex-smoker
## 149 22.65625 No 143.0 94 24 92 No Yes Ex-smoker
## 150 21.25850 No 195.0 144 30 66 No Yes Smoker
## 151 27.43484 Yes 185.0 91 68 78 No Yes Ex-smoker
## 152 24.85795 No 145.0 98 36 38 No No Never
## 153 26.91273 Yes 205.0 112 44 75 Yes No Smoker
## 154 21.51386 No 201.0 76 31 55 Yes No Never
## 155 34.47525 Yes 116.0 47 50 129 Yes Yes Smoker
## 156 29.02531 Yes 134.0 71 39 96 Yes No Ex-smoker
## 157 23.71184 No 205.0 136 48 117 No No Never
## 158 23.52941 No 239.0 15 41 78 Yes Yes Smoker
## 159 21.45329 No 169.0 108 44 55 No Yes Ex-smoker
## 160 22.97194 No 139.0 76 33 76 No Yes Never
## 161 24.14152 No 242.0 172 32 302 Yes Yes Never
## 162 24.80159 No NA NA NA 61 Yes Yes Smoker
## 163 22.06035 No 278.0 185 45 210 No Yes Never
## 164 17.00680 No 113.0 79 14 47 No No Smoker
## 165 17.00680 No 113.0 79 14 47 No No Smoker
## 166 26.98962 Yes 216.0 143 41 138 No No Ex-smoker
## 167 18.66667 No 184.0 125 42 25 Yes Yes Never
## 168 18.66667 No 123.0 71 27 73 No No Smoker
## 169 20.67901 No 141.0 98 32 54 Yes Yes Ex-smoker
## 170 27.47138 Yes 202.0 130 37 134 No Yes Ex-smoker
## 171 23.38869 No 202.0 157 45 40 No No Ex-smoker
## 172 27.42857 Yes 180.0 107 42 130 No Yes Smoker
## 173 22.40588 No 182.0 125 36 74 Yes Yes Ex-smoker
## 174 21.87500 No 228.0 181 29 66 No Yes Smoker
## 175 24.16716 No 155.0 82 59 77 Yes No Ex-smoker
## 176 20.44444 No 153.0 101 32 113 Yes Yes Ex-smoker
## 177 24.97704 No 236.0 173 10 77 Yes No Smoker
## 178 22.12974 No 181.0 110 51 49 No No Ex-smoker
## 179 18.59012 No 168.0 107 41 69 No No Never
## 180 23.88946 No 245.0 166 50 128 No No Never
## 181 24.72518 No 218.0 147 47 120 No Yes Ex-smoker
## 182 20.76125 No 169.0 92 10 142 No No Ex-smoker
## 183 32.45568 Yes 199.0 129 32 257 Yes Yes Smoker
## 184 22.80602 No 222.0 161 42 120 No Yes Ex-smoker
## 185 22.52151 No 203.0 141 38 57 Yes No Ex-smoker
## 186 27.09925 Yes 187.0 123 47 192 No Yes Smoker
## 187 20.00000 No 209.0 156 42 84 No Yes Never
## 188 25.06575 Yes 190.0 128 43 126 No Yes Ex-smoker
## 189 21.40309 No 256.0 166 8 64 No Yes Never
## 190 23.83673 No NA NA NA NA Yes Yes Smoker
## 191 22.03173 No 152.0 79 51 108 No No Smoker
## 192 20.76125 No 212.0 149 33 120 No Yes Smoker
## 193 20.00000 No 323.0 220 50 184 Yes Yes Never
## 194 27.04164 Yes 192.0 136 32 106 Yes Yes Never
## 195 22.03857 No 146.0 99 33 78 No Yes Ex-smoker
## 196 27.82931 Yes 227.0 132 47 111 Yes Yes Never
## 197 22.03857 No 189.0 127 41 68 No No Smoker
## 198 22.30815 No 169.0 118 28 156 No No Smoker
## 199 27.54821 Yes 200.0 134 34 217 Yes No Smoker
## 200 21.45329 No 235.0 180 40 90 No No Ex-smoker
## 201 25.39062 Yes 168.0 118 40 24 Yes Yes Smoker
## 202 17.91509 No 168.0 111 36 76 No Yes Ex-smoker
## 203 26.12245 Yes 230.0 151 40 201 No No Smoker
## 204 29.72652 Yes 188.0 142 29 110 No No Smoker
## 205 31.68855 Yes 152.0 93 29 135 No Yes Never
## 206 27.45060 Yes 193.0 141 30 203 No No Smoker
## 207 24.97399 No 153.0 92 35 84 No No Never
## 208 19.53125 No 144.0 75 50 44 No No Smoker
## 209 22.44802 No 215.0 159 30 164 No No Smoker
## 210 22.03857 No 143.0 91 39 44 Yes Yes Ex-smoker
## 211 22.37568 No 189.0 128 40 115 No No Smoker
## 212 26.81359 Yes 157.0 99 41 105 Yes No Never
## 213 23.24380 No 183.0 120 11 71 No No Smoker
## 214 24.14152 No 251.0 141 50 136 No Yes Ex-smoker
## 215 19.03114 No 184.0 129 32 101 No Yes Ex-smoker
## 216 29.41076 Yes 33.0 103 10 110 No No Smoker
## 217 25.71166 Yes 208.0 148 28 38 No No Smoker
## 218 27.34375 Yes 246.0 163 53 80 No Yes Never
## 219 24.60938 No 184.0 130 39 65 No Yes Never
## 221 20.07733 No 96.0 60 24 80 Yes Yes Never
## 222 23.04688 No 226.0 162 45 55 No Yes Never
## 223 26.03749 Yes 151.0 79 52 60 No Yes Ex-smoker
## 224 24.97704 No 155.0 74 43 109 Yes No Ex-smoker
## 225 22.89282 No 231.0 130 43 178 Yes Yes Never
## 226 18.90204 No 159.0 71 47 172 Yes Yes Never
## 227 19.25703 No 227.0 170 34 108 No Yes Smoker
## 228 25.71166 Yes 262.0 205 26 154 No No Smoker
## 229 22.65625 No 148.0 87 39 78 No Yes Ex-smoker
## 230 24.50895 No 166.0 119 33 83 No Yes Never
## 231 22.83288 No 289.0 224 44 81 Yes No Smoker
## 232 23.97959 No 203.0 157 39 79 Yes Yes Never
## 233 25.46198 Yes 128.0 74 35 75 No No Never
## 234 22.72440 No 147.0 77 42 71 No No Smoker
## 235 18.73049 No NA NA NA NA Yes No Never
## 236 24.56747 No 200.0 166 38 176 No Yes Smoker
## 237 24.97399 No 229.0 154 51 121 Yes Yes Never
## 238 27.47138 Yes 175.0 104 59 24 No Yes Ex-smoker
## 239 21.40309 No 199.0 107 60 119 No Yes Never
## 240 24.16327 No 164.0 87 36 54 Yes Yes Ex-smoker
## 241 22.77319 No 137.0 81 39 46 Yes Yes Ex-smoker
## 242 22.65625 No 166.0 104 46 48 No No Ex-smoker
## 244 26.29758 Yes 222.0 149 36 135 No No Smoker
## 245 26.31464 Yes 163.0 90 41 177 No No Ex-smoker
## 246 21.46194 No 190.0 129 29 118 No No Smoker
## 247 24.78426 No 150.0 79 47 174 Yes No Smoker
## 248 32.34682 Yes 144.0 98 37 62 Yes Yes Ex-smoker
## 249 25.39062 Yes 217.0 170 33 49 No No Smoker
## 250 27.13141 Yes 214.0 132 43 194 Yes No Ex-smoker
## 251 25.60554 Yes 143.0 83 20 163 No No Smoker
## 252 21.61281 No 170.0 116 50 48 No No Smoker
## 253 31.64062 Yes 213.0 76 36 489 No Yes Smoker
## 254 24.44180 No 178.0 104 39 263 Yes Yes Smoker
## 255 30.10381 Yes 210.0 145 38 169 No No Smoker
## 256 21.77384 No 178.0 121 29 115 No No Smoker
## 257 23.14050 No 195.0 128 36 136 No No Smoker
## 258 26.12245 Yes 248.0 158 37 240 No No Smoker
## 259 27.34375 Yes 199.0 118 38 212 No Yes Smoker
## 260 27.30997 Yes 151.0 77 43 130 No Yes Never
## 261 18.36547 No 98.0 48 37 27 Yes No Never
## 262 20.00000 No 231.0 141 50 98 Yes Yes Never
## 263 24.07407 No 223.0 159 25 184 Yes Yes Smoker
## 264 23.87543 No 148.0 103 33 133 Yes Yes Smoker
## 265 22.64086 No 271.0 179 40 179 Yes Yes Never
## 266 24.97704 No 166.0 129 28 125 No Yes Smoker
## 267 28.73175 Yes 184.0 133 36 112 No Yes Smoker
## 268 23.80869 No 187.0 146 34 65 No No Smoker
## 269 26.82742 Yes 240.0 196 36 194 No No Smoker
## 270 24.77210 No 179.0 121 37 76 No No Smoker
## 271 26.15563 Yes 230.0 154 45 169 No No Ex-smoker
## 272 27.71769 Yes 164.0 119 23 151 No No Ex-smoker
## 273 22.86237 No 199.0 129 39 75 No Yes Never
## 274 28.88889 Yes 207.0 134 42 135 No Yes Never
## 275 22.65625 No 156.0 111 35 62 Yes No Never
## 276 24.91349 No 225.0 108 48 257 No No Ex-smoker
## 277 25.86451 Yes 170.0 114 37 70 No Yes Ex-smoker
## 278 27.42857 Yes 180.0 122 34 70 No Yes Ex-smoker
## 280 19.53125 No 105.0 51 29 123 No Yes Smoker
## 281 22.38631 No 181.0 112 51 32 No No Smoker
## 282 23.19109 No 181.0 123 44 43 No No Never
## 284 22.09317 No 137.0 73 47 31 No Yes Smoker
## 285 27.18090 Yes 140.0 88 34 181 No Yes Ex-smoker
## 286 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 287 24.31412 No 227.0 144 47 75 No Yes Smoker
## 288 26.17383 Yes 234.0 156 35 164 Yes No Ex-smoker
## 289 22.12974 No 168.0 112 44 61 No Yes Smoker
## 290 25.33333 Yes 102.0 72 25 65 Yes Yes Never
## 291 25.01352 Yes 168.0 107 28 188 Yes No Smoker
## 292 24.18705 No 176.0 87 46 218 No No Smoker
## 293 31.07354 Yes 97.0 53 26 93 Yes No Smoker
## 294 20.18462 No 189.0 91 45 141 No No Smoker
## 295 20.18462 No 207.0 137 43 136 No No Smoker
## 296 27.34375 Yes 154.0 86 42 148 Yes Yes Ex-smoker
## 297 23.93899 No 163.0 102 28 220 No No Smoker
## 298 21.45329 No 208.0 113 41 259 No No Smoker
## 299 28.65014 Yes 116.0 48 38 164 Yes Yes Smoker
## 300 21.45329 No 131.0 67 30 156 No Yes Smoker
## 301 23.47303 No 211.0 145 39 75 No Yes Never
## 302 23.33547 No 162.0 103 26 184 No No Ex-smoker
## 303 25.56495 Yes 161.0 108 34 59 No No Smoker
## 304 23.50781 No 218.0 171 35 120 No Yes Ex-smoker
## 305 19.25703 No 182.0 123 33 120 Yes Yes Ex-smoker
## 306 22.52151 No 244.0 161 48 97 No Yes Never
## 307 26.17188 Yes 239.0 169 43 112 No No Smoker
## 308 23.12062 No 230.0 143 58 109 No No Never
## 309 23.43750 No 118.0 70 35 95 No Yes Smoker
## 310 25.39062 Yes 170.0 128 35 58 No Yes Ex-smoker
## 311 27.54821 Yes 228.0 175 46 98 Yes Yes Smoker
## 312 23.63403 No 168.0 104 45 646 No Yes Never
## 313 25.76298 Yes 182.0 111 43 134 No Yes Smoker
## 314 41.42012 Yes 229.0 148 47 151 Yes Yes Ex-smoker
## 315 24.14152 No 223.0 147 33 147 Yes Yes Never
## 316 27.99036 Yes 198.0 131 38 101 No No Smoker
## 317 22.05805 No 154.0 98 29 91 No Yes Smoker
## 318 23.42356 No 192.0 110 39 81 No Yes Smoker
## 319 26.07897 Yes 158.0 89 30 157 No Yes Smoker
## 320 20.02884 No 160.0 83 49 58 No No Smoker
## 321 30.79585 Yes 172.0 104 36 189 Yes Yes Smoker
## 322 25.39343 Yes 155.0 70 45 217 No Yes Smoker
## 323 32.04615 Yes 330.0 263 49 84 Yes No Ex-smoker
## 324 21.70139 No 202.0 128 31 149 No No Never
## 325 26.44898 Yes 149.0 93 24 154 Yes Yes Ex-smoker
## 326 27.10204 Yes 120.0 63 38 112 No No Smoker
## 327 27.45865 Yes 173.0 113 33 138 Yes No Never
## 328 22.20408 No 188.0 132 28 131 Yes Yes Smoker
## 330 22.32143 No 108.0 60 21 123 Yes Yes Smoker
## 331 18.42404 No 199.0 125 38 141 Yes Yes Never
## 332 24.60938 No 141.0 79 28 152 No No Never
## 333 23.04688 No 178.0 100 33 176 No Yes Never
## 334 24.30462 No 132.8 77 32 119 Yes Yes Smoker
## 335 21.35780 No 105.0 45 38 28 No Yes Smoker
## 336 21.40309 No 191.0 106 52 64 Yes Yes Never
## 337 22.54658 No 161.0 107 25 164 Yes Yes Never
## 338 27.34375 Yes 178.0 101 35 123 Yes Yes Never
## 339 24.22145 No 159.0 93 47 88 No No Never
## 340 20.19558 No 223.0 126 66 83 No Yes Smoker
## 341 29.93827 Yes 194.0 143 41 108 No No Smoker
## 342 25.43748 Yes 255.0 136 51 176 No Yes Never
## 343 26.10656 Yes 154.0 71 55 68 No No Ex-smoker
## 344 27.81588 Yes 184.0 90 63 135 Yes Yes Never
## 345 27.18090 Yes 182.0 113 24 64 No No Smoker
## 346 24.03461 No 146.0 88 45 65 No No Never
## 347 26.33289 Yes 199.0 149 21 114 No Yes Ex-smoker
## 348 25.86451 Yes 226.0 146 53 31 No No Smoker
## 349 26.77551 Yes 164.0 93 47 60 Yes Yes Never
## 351 24.46460 No 144.0 94 30 75 No Yes Never
## 352 23.14050 No 127.0 81 28 80 No Yes Smoker
## 353 24.50895 No 286.0 198 48 166 No No Ex-smoker
## 354 21.22789 No 177.0 113 34 151 No No Ex-smoker
## 355 23.30109 No 117.0 69 34 19 Yes Yes Smoker
## 356 22.03857 No 169.0 109 41 106 No Yes Ex-smoker
## 357 23.03005 No 166.0 102 10 87 Yes Yes Smoker
## 358 26.29758 Yes 118.0 74 25 61 No Yes Never
## 359 25.59374 Yes 193.0 102 42 200 Yes No Smoker
## 360 26.21882 Yes 178.0 111 39 20 No No Never
## 361 24.03461 No 179.0 117 44 93 Yes Yes Never
## 362 24.22145 No 173.0 112 23 90 Yes Yes Smoker
## 363 25.28257 Yes 125.0 55 39 109 Yes Yes Never
## 364 28.65014 Yes 210.0 152 38 63 No Yes Never
## 365 24.72518 No 178.0 117 42 79 No Yes Never
## 366 29.38776 Yes 267.0 202 38 215 Yes Yes Smoker
## 367 31.74179 Yes 206.0 123 26 276 No No Smoker
## 368 24.60973 No 231.0 125 76 79 Yes No Smoker
## 369 24.80159 No 211.0 157 37 154 No Yes Smoker
## 370 26.63496 Yes 213.0 141 34 62 No Yes Never
## 371 27.54821 Yes 239.0 83 37 319 No No Ex-smoker
## 372 24.84098 No 162.0 108 39 136 No Yes Smoker
## 373 22.43230 No 221.0 136 70 118 No Yes Ex-smoker
## 374 25.95156 Yes 202.0 140 34 37 Yes Yes Never
## 375 23.80869 No 246.0 185 41 154 No No Smoker
## 376 25.96454 Yes 205.0 112 65 82 No Yes Ex-smoker
## 377 21.96712 No 248.0 182 37 122 No No Smoker
## 378 23.04688 No 168.0 98 36 32 No Yes Smoker
## 379 22.89282 No 220.0 151 34 162 No Yes Never
## 380 26.17188 Yes 165.0 104 34 137 No Yes Never
## 381 26.17188 Yes 165.0 104 34 137 No Yes Never
## 382 22.22222 No 95.0 41 8 105 Yes Yes Never
## 384 22.22222 No 128.0 65 38 83 No No Never
## 385 36.67820 Yes 210.0 150 33 181 Yes No Smoker
## 386 17.57812 No 163.0 99 55 44 No No Ex-smoker
## 387 22.53061 No 134.0 95 15 109 No No Ex-smoker
## 388 29.00059 Yes 216.0 163 34 181 No Yes Never
## 389 24.80159 No 188.0 114 33 201 No Yes Smoker
## 390 20.54419 No 206.0 123 49 99 No Yes Ex-smoker
## 391 22.49135 No 213.0 139 42 57 No No Never
## 392 27.04164 Yes 154.0 71 50 115 Yes Yes Never
## 394 26.07897 Yes 195.0 133 33 45 No Yes Never
## 395 24.03461 No 103.0 36 38 132 Yes Yes Never
## 396 20.76125 No 171.0 100 49 127 No Yes Smoker
## 397 20.20202 No 199.0 133 37 30 No Yes Never
## 398 23.33547 No 232.0 108 24 375 Yes Yes Never
## 399 28.94610 Yes 215.0 147 30 118 No Yes Never
## 400 21.92613 No 126.0 76 27 83 No No Never
## 401 24.21875 No 190.0 118 23 152 Yes Yes Never
## 402 24.67550 No 188.0 104 59 113 No Yes Smoker
## 403 24.89706 No 155.8 97 22 184 No No Ex-smoker
## 404 26.66667 Yes 183.0 134 36 79 Yes No Never
## 406 19.37716 No 198.0 136 46 139 Yes No Ex-smoker
## 407 22.49135 No 164.0 109 34 61 No No Ex-smoker
## 408 17.92822 No 78.0 49 26 34 No Yes Smoker
## 409 33.62209 Yes 183.0 112 30 64 Yes Yes Never
## 410 26.34649 Yes 246.0 178 48 82 No No Smoker
## 411 22.89282 No 314.0 208 63 176 Yes Yes Never
## 412 21.23057 No 134.0 72 51 76 No No Never
## 413 26.47211 Yes NA NA NA 171 No Yes Smoker
## 414 23.72529 No 167.0 115 37 51 No Yes Never
## 415 21.25850 No 129.0 74 25 88 No Yes Never
## 416 26.95312 Yes 114.0 62 37 150 No Yes Ex-smoker
## 417 26.42357 Yes 203.0 128 48 60 No Yes Ex-smoker
## 418 22.23099 No 197.0 138 27 110 No No Ex-smoker
## 419 25.86451 Yes 235.0 190 34 87 Yes Yes Ex-smoker
## 420 23.66524 No 189.0 120 38 110 No Yes Ex-smoker
## 421 28.65014 Yes 197.0 121 41 124 No Yes Smoker
## 422 26.25958 Yes 155.0 87 39 61 Yes Yes Smoker
## 423 24.44444 No 139.0 175 5 66 No Yes Never
## 424 25.76298 Yes 203.0 128 35 258 Yes Yes Smoker
## 425 26.53376 Yes 179.0 74 29 377 Yes Yes Never
## 426 24.38237 No 184.0 117 34 99 No Yes Smoker
## 427 26.40235 Yes 155.0 105 41 108 Yes Yes Never
## 428 19.10009 No 227.0 140 35 192 No No Smoker
## 429 26.17188 Yes 185.0 113 41 92 Yes Yes Never
## 430 24.05693 No NA NA NA 60 Yes Yes Never
## 431 21.77778 No 258.0 161 31 185 Yes Yes Never
## 432 24.46460 No 224.0 149 26 217 Yes No Ex-smoker
## 433 23.58833 No 234.0 153 35 129 No No Smoker
## 434 26.23356 Yes 100.0 38 42 65 Yes Yes Ex-smoker
## 435 27.40766 Yes 118.0 50 33 97 Yes Yes Ex-smoker
## 436 24.38653 No 191.0 148 27 92 No No Never
## 437 27.68166 Yes 164.0 113 43 30 Yes Yes Ex-smoker
## 438 21.40309 No 176.0 118 34 142 Yes No Never
## 440 29.93827 Yes 204.0 107 43 180 No No Never
## 441 23.66144 No 265.0 177 45 288 Yes No Smoker
## 442 22.38631 No 162.0 94 39 92 No No Smoker
## 443 25.71101 Yes 193.0 119 28 107 No Yes Never
## 444 23.03005 No 145.0 52 24 680 Yes No Smoker
## 445 24.48980 No 206.0 128 40 66 No Yes Smoker
## 446 19.55556 No 177.0 44 55 77 Yes No Never
## 447 30.44384 Yes 167.0 117 35 117 No Yes Never
## 448 23.14050 No 225.0 151 32 148 No No Smoker
## 449 23.78121 No 201.0 154 34 144 No Yes Ex-smoker
## 450 23.72281 No 141.0 72 41 239 No No Ex-smoker
## 451 22.95918 No 480.0 314 44 243 Yes Yes Never
## 452 25.95156 Yes 145.0 83 35 66 No Yes Never
## 453 22.23099 No 150.0 82 26 153 Yes No Smoker
## 455 26.76978 Yes 134.0 98 24 60 No No Smoker
## 456 18.81892 No 130.0 43 61 72 No Yes Smoker
## 457 18.42404 No 493.0 366 59 163 No No Ex-smoker
## 458 24.97399 No 131.0 57 44 124 No No Ex-smoker
## 459 19.53125 No 190.0 115 51 38 No No Ex-smoker
## 460 24.97399 No 153.0 87 34 22 Yes No Never
## 461 25.91068 Yes 203.0 120 36 297 No Yes Smoker
## 462 22.58271 No 163.0 106 30 155 No Yes Never
## 463 25.05931 Yes 217.0 152 24 150 No Yes Ex-smoker
## 464 24.23823 No 181.0 122 34 68 No Yes Never
## 465 25.52964 Yes 139.0 77 57 67 No Yes Smoker
## 466 22.89282 No 202.0 121 31 207 Yes No Never
## 467 24.81633 No 205.0 106 34 246 No No Smoker
## 468 20.61925 No 186.0 144 34 53 No No Smoker
## 469 23.03005 No 182.0 119 49 48 No Yes Never
## 470 27.88519 Yes 232.0 132 60 132 Yes Yes Never
## 471 18.26150 No 170.0 85 20 311 Yes Yes Never
## 472 26.98962 Yes 188.0 126 39 173 No No Smoker
## 473 16.41531 No 143.0 99 27 75 Yes No Smoker
## 474 22.05805 No 261.0 189 43 104 No No Ex-smoker
## 475 21.20311 No 183.0 86 65 115 No No Smoker
## 476 24.22145 No 185.0 103 34 155 Yes Yes Ex-smoker
## 477 26.64360 Yes 91.0 50 26 70 No Yes Ex-smoker
## 478 23.66524 No 122.0 65 47 11 No Yes Ex-smoker
## 479 23.43750 No 161.0 114 32 61 No Yes Never
## 480 22.31328 No 182.0 109 52 30 No Yes Never
## 481 25.95156 Yes 147.0 93 38 74 No No Ex-smoker
## 482 21.46194 No 157.0 122 22 70 No No Smoker
## 483 23.05175 No 184.0 136 32 135 No Yes Ex-smoker
## 484 26.44628 Yes 98.0 52 29 60 Yes Yes Ex-smoker
## 485 20.76125 No 163.0 96 38 170 Yes Yes Smoker
## 486 26.44628 Yes 173.0 117 36 44 Yes Yes Never
## 487 24.67105 No 190.0 100 38 125 No Yes Ex-smoker
## 488 27.76710 Yes NA NA NA NA No No Never
## 490 20.82094 No 214.0 120 46 53 No No Never
## 491 25.51020 Yes 195.0 128 42 64 No Yes Never
## 492 29.05329 Yes 188.0 75 35 619 Yes Yes Smoker
## 493 26.64360 Yes 116.0 83 23 41 No Yes Ex-smoker
## 494 29.05475 Yes 261.0 208 28 98 No No Smoker
## 495 25.46939 Yes 177.0 131 32 104 No Yes Never
## 496 22.95918 No 149.0 104 26 54 No Yes Smoker
## 497 22.86253 No 186.0 92 44 93 No No Never
## 498 38.44675 Yes 181.0 116 51 72 Yes No Never
## 499 25.46198 Yes 131.0 76 39 58 Yes Yes Smoker
## 500 24.91990 No 140.0 53 10 31 No No Never
## 501 24.08822 No 200.0 143 40 65 Yes Yes Ex-smoker
## 502 19.14672 No 197.0 112 51 81 No Yes Smoker
## 503 26.44628 Yes 122.0 73 26 80 Yes Yes Never
## 504 24.84098 No 162.0 102 44 81 No No Ex-smoker
## 505 22.38631 No 151.0 90 45 49 No No Never
## 506 26.39580 Yes 163.0 91 25 219 No No Smoker
## 507 21.30395 No 154.0 60 60 139 No No Smoker
## 508 28.51562 Yes NA NA NA NA No No Never
## 510 23.04002 No 153.0 92 46 62 Yes Yes Smoker
## 511 17.14678 No 128.0 65 44 45 No No Smoker
## 512 31.21748 Yes 245.0 184 52 41 Yes No Never
## 513 25.40282 Yes 255.0 152 46 312 Yes Yes Smoker
## 514 26.48554 Yes 126.0 66 30 123 Yes Yes Smoker
## 515 26.72287 Yes 183.0 125 35 129 No No Smoker
## 516 22.22222 No 163.0 103 47 29 No Yes Never
## 517 26.02617 Yes 203.0 94 19 458 No Yes Smoker
## 518 25.52964 Yes 233.0 163 41 138 Yes Yes Never
## 519 24.74745 No 165.0 100 32 129 Yes Yes Never
## 520 33.67347 Yes 236.0 144 60 189 Yes Yes Smoker
## 521 29.90303 Yes 194.0 133 43 257 No Yes Ex-smoker
## 522 22.07108 No 207.0 158 25 106 No Yes Never
## 523 25.71166 Yes 141.0 69 54 153 Yes Yes Never
## 524 26.03749 Yes 32.0 100 4 66 Yes Yes Never
## 525 23.42209 No 226.0 150 40 128 No Yes Smoker
## 526 23.42209 No 188.0 117 49 128 No Yes Smoker
## 527 25.21625 Yes 196.0 136 21 180 No Yes Smoker
## 528 25.63692 Yes 225.0 164 39 127 Yes Yes Never
## 529 20.56933 No 189.0 105 58 66 No Yes Smoker
## 530 32.87197 Yes 182.0 142 40 99 Yes Yes Smoker
## 531 27.68166 Yes 217.0 159 34 143 No Yes Smoker
## 533 26.57313 Yes 185.0 80 33 318 No Yes Never
## 534 22.66667 No 296.0 93 26 393 Yes Yes Ex-smoker
## 535 25.95156 Yes 198.0 123 40 165 Yes No Smoker
## 536 22.98540 No 191.0 122 46 53 No No Smoker
## 537 29.06977 Yes 351.0 270 35 194 No No Smoker
## 538 21.78649 No 151.0 81 55 45 No No Never
## 539 22.65625 No 178.0 109 48 36 No Yes Ex-smoker
## 540 27.41445 Yes 181.0 124 30 92 No Yes Never
## 541 18.59113 No 207.0 141 48 69 No No Ex-smoker
## 542 24.30462 No 223.0 136 46 247 Yes Yes Never
## 543 17.75148 No 177.0 105 35 56 No No Smoker
## 544 26.72287 Yes 191.0 116 41 112 No Yes Ex-smoker
## 545 25.96953 Yes 162.0 99 39 115 No Yes Smoker
## 546 23.53037 No 178.0 121 25 165 No Yes Ex-smoker
## 547 30.48316 Yes 183.0 110 46 143 Yes Yes Smoker
## 548 30.35925 Yes 161.0 75 33 187 No Yes Never
## 549 22.32143 No 204.0 136 46 115 No Yes Never
## 550 27.99036 Yes 159.0 102 30 80 No Yes Ex-smoker
## 551 23.33547 No 344.0 71 30 217 No Yes Ex-smoker
## 552 23.87511 No 184.0 126 39 101 Yes No Smoker
## 553 23.73996 No 207.0 101 48 168 Yes No Never
## 554 22.30815 No 152.0 64 58 151 No No Smoker
## 555 24.60973 No 177.0 123 41 66 No Yes Never
## 556 21.33333 No 195.0 121 40 145 No Yes Never
## 557 27.14158 Yes 315.0 235 55 100 No No Smoker
## 559 22.65625 No 198.0 138 35 110 No No Smoker
## 560 21.42857 No 200.0 135 44 103 No No Never
## 561 26.91273 Yes 151.0 82 31 143 Yes No Ex-smoker
## 562 21.35931 No 275.0 178 45 87 No Yes Never
## 563 21.61281 No 246.0 64 29 801 Yes No Ex-smoker
## 564 26.98962 Yes 197.0 144 26 166 Yes Yes Never
## 565 24.03461 No 238.0 152 44 192 Yes Yes Never
## 566 18.36900 No 170.0 105 44 57 No Yes Never
## 567 25.68956 Yes 123.0 70 35 109 No Yes Smoker
## 568 18.80787 No 293.0 151 42 454 No Yes Never
## 569 21.96712 No 246.0 178 44 146 Yes No Smoker
## 570 24.08822 No 196.0 126 33 182 No No Smoker
## 571 25.80645 Yes 216.0 143 16 168 Yes Yes Never
## 572 21.36752 No 248.0 174 46 200 Yes Yes Smoker
## 573 24.21875 No 192.0 68 23 459 No No Smoker
## 574 29.33333 Yes 230.0 155 49 91 No No Smoker
## 575 23.60128 No 198.0 108 38 268 Yes Yes Never
## 576 20.42942 No 204.0 124 47 110 No Yes Never
## 577 26.02264 Yes 214.0 140 43 76 Yes Yes Never
## 578 24.91990 No 204.0 108 53 170 Yes Yes Ex-smoker
## 580 23.52941 No 158.0 104 31 64 No Yes Smoker
## 581 22.65625 No 102.0 55 34 89 No No Smoker
## 582 25.72103 Yes 205.0 143 33 117 No No Never
## 583 27.58621 Yes 246.0 175 39 110 Yes Yes Never
## 584 24.16327 No 246.0 174 45 165 No Yes Ex-smoker
## 585 26.64360 Yes 104.0 27 84 81 No No Ex-smoker
## 586 19.92513 No 136.0 63 42 78 No Yes Never
## 587 22.67574 No 230.0 173 32 86 No No Smoker
## 588 24.33748 No 186.0 148 36 67 No Yes Smoker
## 589 16.33038 No 199.0 113 58 58 Yes No Smoker
## 590 23.49524 No 228.0 116 67 68 Yes Yes Ex-smoker
## 591 16.33038 No 164.0 99 40 91 Yes No Ex-smoker
## 592 26.03749 Yes 190.0 118 29 153 No Yes Ex-smoker
## 594 29.82325 Yes 161.0 83 50 108 Yes No Never
## 595 25.68956 Yes 198.0 104 57 106 No Yes Never
## 596 19.11111 No 137.0 95 20 104 No Yes Never
## 597 17.77778 No 196.0 194 44 171 No Yes Never
## 598 20.70082 No 141.0 74 50 52 No Yes Smoker
## 599 25.82645 Yes 293.0 200 34 137 Yes Yes Smoker
## 600 24.80159 No 192.0 140 36 99 No No Ex-smoker
## 601 24.97399 No 183.0 124 43 154 No Yes Never
## 602 21.33333 No 149.0 83 44 51 No Yes Never
## 603 19.67517 No 286.0 188 62 104 Yes No Never
## 604 20.51913 No 182.0 107 37 78 No Yes Never
## 605 23.56663 No 231.0 192 29 144 No No Smoker
## 606 22.83737 No 154.0 76 38 177 Yes Yes Ex-smoker
## 607 22.77319 No 190.0 125 24 91 Yes No Never
## 608 24.60938 No 177.0 104 45 78 No No Smoker
## 609 29.41176 Yes 134.0 81 31 102 Yes No Ex-smoker
## 610 32.04588 Yes 195.0 132 47 65 Yes No Ex-smoker
## 611 29.21841 Yes 173.0 103 40 182 No Yes Ex-smoker
## 612 22.12974 No 206.0 98 72 231 No Yes Never
## 613 27.65625 Yes 190.0 137 28 110 No Yes Ex-smoker
## 614 26.83865 Yes 165.0 93 30 194 No Yes Never
## 615 26.22222 Yes 154.0 97 35 109 Yes Yes Never
## 616 24.24242 No 221.0 137 52 95 Yes Yes Ex-smoker
## 617 28.88889 Yes 261.0 194 51 99 Yes Yes Never
## 618 15.61570 No 240.0 109 49 54 No Yes Smoker
## 619 15.61570 No 197.0 122 49 54 No Yes Smoker
## 620 24.44180 No 144.0 88 37 129 No No Never
## 621 24.91349 No 194.0 144 32 55 No Yes Smoker
## 622 25.45807 Yes 221.0 145 37 92 No No Smoker
## 623 23.55556 No 244.0 170 34 51 No Yes Ex-smoker
## 624 24.44728 No 150.0 85 38 148 No Yes Smoker
## 625 23.80869 No 147.0 78 32 173 Yes No Smoker
## 626 26.83865 Yes 271.0 189 53 94 No Yes Never
## 627 23.33768 No 222.0 158 51 98 No Yes Smoker
## 629 24.80159 No 273.0 216 29 152 No No Smoker
## 630 19.72104 No 184.0 115 45 44 No No Ex-smoker
## 631 20.40816 No 200.0 137 34 101 Yes No Never
## 632 26.31464 Yes 170.0 96 51 91 Yes Yes Never
## 633 24.44728 No 234.0 156 43 119 No No Never
## 634 28.57143 Yes 116.0 50 35 219 No Yes Never
## 635 21.64127 No 208.0 201 40 406 No No Smoker
## 636 24.12175 No 224.0 156 40 141 Yes Yes Never
## 637 41.22626 Yes 292.0 210 36 332 Yes No Smoker
## 638 25.10957 Yes 189.0 118 39 124 No Yes Never
## 639 19.72104 No 178.0 100 51 73 No No Ex-smoker
## 640 29.38468 Yes 241.0 157 57 68 No Yes Ex-smoker
## 641 25.78125 Yes 120.0 67 39 72 No No Smoker
## 642 28.01022 Yes 119.0 66 34 39 No Yes Never
## 643 21.48438 No 166.0 82 53 64 Yes Yes Never
## 644 27.06405 Yes 224.0 189 35 56 No Yes Smoker
## 645 24.80159 No 174.0 118 37 112 No Yes Smoker
## 646 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 647 27.96802 Yes 239.0 131 50 219 No No Ex-smoker
## 648 25.23634 Yes 166.0 111 34 62 No No Never
## 649 22.22222 No 164.0 115 38 86 No No Ex-smoker
## 650 27.34375 Yes 227.0 140 35 221 Yes Yes Smoker
## 651 19.48696 No 166.0 93 34 34 No No Ex-smoker
## 652 21.96712 No 215.0 134 32 241 No No Smoker
## 653 31.24605 Yes 120.0 55 19 225 No No Never
## 654 24.99890 No 263.0 183 42 80 No Yes Never
## 655 26.56434 Yes 181.0 111 36 179 No No Never
## 656 23.43750 No 145.0 115 34 54 No No Smoker
## 657 27.11111 Yes 203.0 126 42 50 Yes Yes Never
## 658 23.49524 No 234.0 198 54 77 Yes Yes Never
## 659 33.44382 Yes 186.0 114 39 96 No No Smoker
## 660 22.59814 No 235.0 183 33 93 No No Never
## 661 24.03461 No 124.0 70 30 131 Yes Yes Never
## 662 19.22338 No 189.0 125 47 40 No Yes Never
## 663 19.95936 No 136.0 85 38 57 No Yes Smoker
## 664 22.20633 No 207.0 140 26 105 Yes Yes Smoker
## 665 21.98989 No 300.0 227 38 136 No No Smoker
## 666 21.45357 No 194.0 110 60 48 No No Ex-smoker
## 667 19.48696 No 128.0 71 31 87 No No Never
## 669 24.21875 No 157.0 72 46 247 Yes Yes Never
## 670 21.84701 No 251.0 122 44 450 Yes Yes Smoker
## 671 26.29758 Yes 225.0 140 24 283 No No Ex-smoker
## 672 20.51509 No 212.0 159 40 45 No No Smoker
## 673 26.95984 Yes 131.0 81 23 150 No Yes Smoker
## 674 24.60973 No 158.0 107 33 165 No Yes Smoker
## 675 23.87511 No 199.0 147 43 41 No No Never
## 676 25.63692 Yes 279.0 168 38 283 Yes No Never
## 677 24.02381 No 143.0 86 19 232 Yes No Never
## 678 18.59012 No 131.0 67 49 67 No No Ex-smoker
## 679 25.30864 Yes 138.0 46 47 34 No No Ex-smoker
## 680 19.55556 No 171.0 98 44 82 Yes Yes Never
## 681 30.04082 Yes 297.0 125 33 584 Yes Yes Ex-smoker
## 682 23.05456 No 229.0 159 51 105 Yes No Smoker
## 683 24.15882 No 130.0 150 29 193 Yes Yes Ex-smoker
## 684 26.17188 Yes 170.0 115 40 39 No No Ex-smoker
## 685 26.17519 Yes 169.0 77 28 377 No No Smoker
## 686 22.06035 No 262.0 162 41 261 No Yes Smoker
## 688 27.58020 Yes 248.0 168 38 310 No Yes Smoker
## 689 25.39022 Yes 240.0 161 58 74 No No Ex-smoker
## 690 25.51020 Yes 175.0 96 34 219 Yes No Smoker
## 692 23.43750 No 199.0 141 29 161 No Yes Never
## 693 23.12467 No 231.0 97 29 84 No Yes Never
## 694 24.15882 No 136.0 78 27 164 Yes No Smoker
## 695 21.35991 No 157.0 85 46 75 No No Never
## 697 27.39226 Yes 186.0 134 33 96 No Yes Ex-smoker
## 698 25.92593 Yes 267.0 164 31 365 Yes No Smoker
## 699 23.18339 No 195.0 118 25 235 Yes No Smoker
## 700 17.64706 No 181.0 129 38 33 No Yes Smoker
## 701 26.07897 Yes 251.0 166 36 246 No Yes Ex-smoker
## 702 18.68512 No 158.0 115 33 59 No No Smoker
## 703 27.58621 Yes 231.0 118 42 279 No Yes Never
## 705 23.28342 No 157.0 90 32 161 No Yes Never
## 706 28.53746 Yes 167.0 84 34 84 No Yes Ex-smoker
## 707 31.11111 Yes 204.0 139 27 139 Yes Yes Never
## 708 22.43230 No 222.0 171 36 50 No Yes Never
## 709 22.85714 No 171.0 94 46 124 No No Never
## 710 27.18090 Yes 221.0 157 36 183 Yes No Smoker
## 711 20.20202 No 181.0 124 45 143 Yes Yes Smoker
## 712 23.43750 No 126.0 52 41 156 Yes No Never
## 713 23.18339 No 179.0 108 31 237 Yes Yes Ex-smoker
## 715 22.14533 No 204.0 105 28 304 No No Never
## 717 25.68956 Yes 108.0 63 31 53 Yes Yes Ex-smoker
## 718 27.85201 Yes 138.0 80 30 141 No No Smoker
## 719 26.56250 Yes 220.0 149 45 119 Yes No Never
## 720 25.90946 Yes 200.0 134 56 177 Yes Yes Never
## 721 25.90946 Yes 197.0 130 36 177 Yes No Never
## 722 20.76125 No 132.0 75 37 63 No Yes Smoker
## 724 25.18079 Yes 160.0 97 31 101 No No Never
## 734 23.45679 No 263.0 191 35 133 No No Smoker
## 740 22.37568 No 203.0 134 42 125 No Yes Smoker
## 741 26.67276 Yes 267.0 170 55 89 No Yes Never
## 743 31.74179 Yes 254.0 185 31 191 Yes No Smoker
## 744 26.42357 Yes 166.0 88 43 134 No Yes Smoker
## 745 21.45329 No 253.0 162 44 149 No No Smoker
## 746 27.53123 Yes 194.0 113 55 80 No Yes Never
## 747 26.83865 Yes 145.0 98 26 82 Yes Yes Ex-smoker
## 748 22.79033 No 246.0 193 33 100 No No Smoker
## 749 21.51386 No 177.0 117 46 64 Yes Yes Smoker
## 754 23.58833 No 173.0 101 36 91 Yes Yes Never
## 763 24.80159 No 61.0 32 22 32 No No Smoker
## 764 19.90997 No 139.0 68 42 89 No No Smoker
## 765 23.87511 No 209.0 137 40 110 No No Never
## 766 25.76298 Yes 213.0 78 23 877 Yes No Smoker
## 767 27.85201 Yes 210.0 64 25 549 Yes Yes Never
## 768 22.98540 No 104.0 64 27 37 No No Ex-smoker
## 769 21.45329 No 225.0 155 26 208 No Yes Smoker
## 772 26.44628 Yes 191.0 142 24 180 No No Ex-smoker
## 775 24.88281 No 238.0 163 43 123 Yes Yes Ex-smoker
## 784 26.83865 Yes 191.0 84 27 429 No Yes Never
## 785 23.80869 No 118.0 61 40 122 No No Smoker
## 787 21.35780 No 215.0 147 50 74 No Yes Never
## 789 22.94812 No 222.0 277 47 49 No No Never
## 790 30.91558 Yes 123.0 60 34 89 Yes Yes Ex-smoker
## 792 23.30668 No 98.0 47 27 101 No No Smoker
## 794 22.58955 No 175.0 95 37 353 No Yes Smoker
## 796 28.18760 Yes 208.0 128 36 199 Yes Yes Never
## 797 26.53376 Yes NA NA NA 269 Yes Yes Never
## 798 24.48980 No 181.0 98 48 156 No Yes Never
## 806 22.80602 No 174.0 93 29 163 No No Never
## 808 26.72154 Yes 169.0 124 33 145 No No Never
## 809 25.54491 Yes 261.0 165 40 65 No Yes Never
## 810 26.14269 Yes 150.0 78 44 129 Yes No Never
## 811 23.87543 No 204.0 142 27 108 No Yes Smoker
## 812 20.63883 No 177.4 81 38 92 No No Never
## 813 22.03857 No 245.0 119 89 25 No No Smoker
## 814 24.97399 No 119.0 43 46 76 No Yes Never
## 815 24.24392 No 234.0 160 50 244 No Yes Never
## 816 20.04745 No 214.0 132 41 80 Yes No Never
## 817 18.93700 No 178.0 114 33 103 Yes No Smoker
## 818 21.64127 No 227.0 150 42 175 No Yes Never
## 819 21.25850 No 206.0 154 28 172 Yes Yes Ex-smoker
## 820 27.63605 Yes 155.0 95 29 120 Yes No Smoker
## 821 28.04282 Yes 243.0 140 36 275 Yes Yes Smoker
## 822 20.50493 No 186.0 102 49 138 No Yes Never
## 823 23.14050 No 143.0 82 29 119 Yes Yes Never
## 824 27.35885 Yes 141.0 65 41 123 No No Never
## 825 21.10727 No 225.0 155 26 208 No Yes Smoker
## 826 28.72679 Yes 244.0 160 33 266 No No Smoker
## 827 NA No 123.0 70 28 158 No No Ex-smoker
## 828 32.87197 Yes 197.0 113 41 166 No Yes Ex-smoker
## 829 24.14152 No 159.0 83 13 58 No Yes Never
## 830 22.22222 No 181.0 139 30 70 No Yes Never
## 831 31.60321 Yes 166.0 62 47 235 Yes Yes Ex-smoker
## 832 NA No 152.0 83 45 138 Yes Yes Never
## 833 29.40227 Yes 169.0 114 28 103 No Yes Never
## 835 25.71166 Yes 186.0 119 47 93 No Yes Ex-smoker
## 836 25.33284 Yes 130.0 73 45 88 Yes Yes Never
## 837 23.06667 No 186.0 117 46 63 Yes Yes Never
## 838 28.32031 Yes 157.0 100 28 134 No Yes Never
## 839 22.53401 No 182.0 110 33 195 No No Never
## 840 24.72946 No 247.0 170 41 124 No No Smoker
## 841 23.99946 No 129.0 63 45 47 No No Never
## 843 24.56747 No 181.0 121 29 102 No Yes Never
## 844 28.47989 Yes 174.0 91 42 151 No Yes Never
## 845 23.66144 No 115.0 65 38 79 Yes No Never
## 846 25.81663 Yes 172.0 92 47 158 No Yes Never
## 848 30.81125 Yes 150.0 111 23 108 No Yes Never
## 849 22.10029 No 182.0 102 61 91 No Yes Never
## 850 29.21011 Yes 169.0 116 27 135 No Yes Never
## 851 21.35780 No 215.0 147 50 74 No Yes Never
## 853 28.38652 Yes 336.0 224 61 137 No Yes Never
## 854 24.81994 No 232.0 153 41 182 No Yes Never
## 855 24.03461 No 178.4 130 29 97 Yes Yes Never
## 856 26.29849 Yes 177.2 107 36 286 Yes Yes Never
# 3. 대치 :
# 3_1. 해당칼럼인덱싱 + na 아닌것들만 ! is.na()로 행인덱싱한 + 칼럼인덱싱 한 뒤, 평균값을 구하기
mean( acs[ !is.na(acs$weight), "weight" ] )
## [1] 64.84373
# 3-2. na.rm=T옵션을 이용해서 na제외 해당칼럼의 평균 빠르게 구하기 ***
mean( acs$weight, na.rm=T )
## [1] 64.84373
# 3_2. 조건부 대치 -> 행인덱싱자리에 !is.na(칼럼인덱싱)+ 특정범주 조건을 추가한다.
mean( acs[ !is.na(acs$weight) & acs$sex =="Female" , "weight" ] )
## [1] 57.2293
# 4. 결측치 Multiple Imputation (다중대체) : 결측값에 대한 반복 시뮬레이션
# 4_1. 시드고정
set.seed(42)
# 4_2. m = 5 ~ 10, 5~10개의 결측치를 채운 데이터셋을 만든다.
# 이때, 범주형 변수 2개 -> 로지스틱regression,
# 범주형 변수 3개이상 -> polyregression
# 연속형 변수 -> 리니어regression
# by 몬테카를로 방법으로 결측데이터를 채운다.
# mice()는 m개의 imputed data를 만들고
# with()는 결과를 분석하고
# pool()은 마지막으로 m개의 데이터셋을 하나의 dataset으로 결합한다.
# 마지막 dataset의 표준오차와 p값은 결측값-다중대체에 의해 생긴 불확실성을 반영한다.
imputed = mice(acs, m=5) # 5개의 다중대체된 데이터셋 생성
##
## iter imp variable
## 1 1 EF height weight BMI TC LDLC HDLC TG
## 1 2 EF height weight BMI TC LDLC HDLC TG
## 1 3 EF height weight BMI TC LDLC HDLC TG
## 1 4 EF height weight BMI TC LDLC HDLC TG
## 1 5 EF height weight BMI TC LDLC HDLC TG
## 2 1 EF height weight BMI TC LDLC HDLC TG
## 2 2 EF height weight BMI TC LDLC HDLC TG
## 2 3 EF height weight BMI TC LDLC HDLC TG
## 2 4 EF height weight BMI TC LDLC HDLC TG
## 2 5 EF height weight BMI TC LDLC HDLC TG
## 3 1 EF height weight BMI TC LDLC HDLC TG
## 3 2 EF height weight BMI TC LDLC HDLC TG
## 3 3 EF height weight BMI TC LDLC HDLC TG
## 3 4 EF height weight BMI TC LDLC HDLC TG
## 3 5 EF height weight BMI TC LDLC HDLC TG
## 4 1 EF height weight BMI TC LDLC HDLC TG
## 4 2 EF height weight BMI TC LDLC HDLC TG
## 4 3 EF height weight BMI TC LDLC HDLC TG
## 4 4 EF height weight BMI TC LDLC HDLC TG
## 4 5 EF height weight BMI TC LDLC HDLC TG
## 5 1 EF height weight BMI TC LDLC HDLC TG
## 5 2 EF height weight BMI TC LDLC HDLC TG
## 5 3 EF height weight BMI TC LDLC HDLC TG
## 5 4 EF height weight BMI TC LDLC HDLC TG
## 5 5 EF height weight BMI TC LDLC HDLC TG
## Warning: Number of logged events: 8
imputed$imp # 결측되었던 row index + 1번~5번까지 dataset에서 대체한 값을 나열
## $age
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $sex
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $cardiogenicShock
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $entry
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $Dx
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $EF
## 1 2 3 4 5
## 724 64.9 60.5 47.6 66.2 60.1
## 725 34.4 59.9 69.1 35.5 57.3
## 726 49.5 58.0 61.0 67.7 42.5
## 727 53.0 65.0 48.0 43.2 59.0
## 728 48.8 44.9 38.5 65.4 56.7
## 729 59.5 42.5 58.6 54.6 64.0
## 730 31.1 61.8 65.0 58.2 31.5
## 731 38.4 55.1 66.0 66.5 56.5
## 732 66.0 69.1 45.0 41.7 45.6
## 733 66.7 48.7 61.6 56.3 59.8
## 734 61.8 38.8 45.3 35.4 44.0
## 735 58.1 54.9 58.4 71.9 62.9
## 736 56.8 41.8 42.1 61.6 56.2
## 737 55.4 60.2 55.8 48.6 58.7
## 738 47.4 70.2 59.0 64.5 61.0
## 739 66.7 53.0 66.5 58.0 67.6
## 740 63.1 63.8 58.1 47.3 61.5
## 741 57.2 63.3 48.3 54.0 70.0
## 742 59.3 60.4 28.5 48.2 54.8
## 743 61.0 59.0 58.8 48.9 46.9
## 744 59.2 47.8 71.6 56.8 62.7
## 745 50.1 52.6 47.0 34.6 46.5
## 746 58.0 56.2 45.8 61.0 62.2
## 747 56.9 62.8 66.3 61.0 42.5
## 748 61.6 60.1 42.5 44.8 62.8
## 749 45.0 40.9 60.7 61.0 49.1
## 750 62.2 45.0 53.6 50.3 61.4
## 751 61.7 58.8 56.0 48.9 59.9
## 752 52.0 67.0 60.1 54.8 58.4
## 753 56.0 45.4 39.0 59.1 49.5
## 754 63.7 55.7 64.8 62.2 58.1
## 755 60.0 65.7 65.0 44.6 69.0
## 756 52.0 57.6 59.6 61.0 58.9
## 757 62.7 42.0 48.0 47.4 61.5
## 758 66.4 48.6 55.8 58.3 63.8
## 759 61.5 60.0 49.0 60.0 58.3
## 760 56.6 46.8 49.9 43.2 46.6
## 761 50.4 49.3 69.9 54.8 66.4
## 762 52.0 34.5 69.1 42.8 66.4
## 763 71.9 55.2 79.0 51.9 34.4
## 764 36.8 42.7 65.0 45.7 49.7
## 765 55.6 36.8 63.4 61.3 33.1
## 766 55.0 58.5 63.0 61.7 67.1
## 767 67.2 58.8 63.0 52.0 59.9
## 768 47.3 69.1 69.1 39.4 26.6
## 769 56.9 46.8 42.5 61.4 60.6
## 770 61.0 52.9 66.0 47.4 52.4
## 771 32.0 44.0 49.3 53.5 56.2
## 772 65.7 55.7 56.8 68.0 67.4
## 773 74.0 60.7 56.0 56.5 70.0
## 774 31.1 62.7 59.5 49.3 65.0
## 775 60.0 62.4 68.4 64.5 54.8
## 776 42.5 45.9 60.2 34.6 62.8
## 777 21.8 46.8 45.0 63.5 66.9
## 778 47.2 34.5 65.7 61.5 56.2
## 779 53.2 61.0 40.4 58.1 68.4
## 780 63.3 73.0 61.0 64.8 56.0
## 781 50.0 79.0 49.5 57.3 35.7
## 782 69.0 61.5 47.8 68.2 45.6
## 783 60.7 46.6 45.5 34.6 26.6
## 784 59.0 55.7 56.5 66.5 46.9
## 785 61.0 54.8 63.7 55.0 58.1
## 786 62.8 49.3 59.4 37.9 45.4
## 787 54.8 61.0 49.0 48.2 54.2
## 788 48.8 49.0 40.0 35.6 45.6
## 789 59.5 66.4 45.0 58.1 52.2
## 790 42.5 48.2 62.7 60.2 58.0
## 791 65.0 35.6 56.2 56.3 59.3
## 792 58.0 58.0 20.0 66.1 55.9
## 793 65.0 59.2 65.0 63.4 65.3
## 794 59.3 60.0 59.8 63.8 67.5
## 795 67.2 59.4 51.9 58.0 60.0
## 796 54.8 52.4 61.8 57.7 56.7
## 797 65.7 56.3 67.7 60.6 68.6
## 798 61.9 59.5 62.4 66.0 49.0
## 799 63.0 35.5 59.2 55.0 64.6
## 800 63.7 58.0 63.3 56.1 57.2
## 801 66.1 73.0 60.8 44.0 61.8
## 802 56.2 60.0 61.6 54.0 45.8
## 803 40.9 62.0 58.7 68.0 62.8
## 804 40.2 50.3 61.8 55.9 79.0
## 805 52.0 54.5 56.1 47.3 56.7
## 806 69.0 65.5 53.8 61.0 64.5
## 807 48.3 61.0 48.1 21.8 67.6
## 808 24.7 62.6 56.2 64.9 63.3
## 809 54.3 61.4 55.3 35.7 48.6
## 810 61.2 43.2 45.8 56.3 70.0
## 811 55.0 55.9 61.8 60.7 57.9
## 812 56.0 53.0 58.1 41.3 51.3
## 813 45.0 66.3 52.2 62.4 50.4
## 814 42.7 65.5 40.4 59.5 61.2
## 815 34.0 64.9 55.1 70.2 61.8
## 816 53.2 61.6 49.5 61.7 51.5
## 817 46.6 49.3 45.0 54.7 56.0
## 818 32.0 56.4 58.7 55.1 70.0
## 819 60.2 38.8 20.0 58.1 41.8
## 820 56.0 55.5 62.0 64.7 52.9
## 821 65.0 58.7 68.6 52.0 66.7
## 822 71.9 54.9 61.5 59.7 50.3
## 823 40.2 61.0 58.2 62.2 68.2
## 824 22.0 62.7 49.0 58.6 54.8
## 825 58.4 42.5 58.0 61.3 78.1
## 826 68.6 62.8 68.6 65.9 68.6
## 827 56.0 47.0 64.3 47.3 62.2
## 828 60.0 55.0 46.9 59.5 40.0
## 829 57.7 55.8 55.7 66.9 45.0
## 830 60.0 62.7 61.0 49.0 32.0
## 831 58.0 61.4 65.3 63.5 61.6
## 832 64.6 39.0 54.2 44.1 66.4
## 833 59.5 55.6 62.0 63.6 56.2
## 834 60.0 47.0 59.1 63.4 58.7
## 835 58.9 40.2 59.7 44.0 55.4
## 836 56.3 58.9 51.6 53.6 56.0
## 837 66.1 46.4 61.6 47.3 43.3
## 838 69.0 36.5 61.9 61.0 56.2
## 839 49.0 51.5 60.1 58.9 63.3
## 840 66.0 66.9 58.7 49.0 55.6
## 841 56.0 45.5 34.6 63.9 61.8
## 842 31.1 49.3 56.5 45.6 43.3
## 843 54.9 50.5 65.6 58.1 65.0
## 844 41.0 18.0 56.0 64.2 47.6
## 845 57.8 39.0 51.5 64.8 61.0
## 846 57.2 59.0 24.7 62.4 61.7
## 847 63.4 42.1 65.0 45.6 59.6
## 848 61.6 55.8 58.6 58.5 62.6
## 849 45.0 51.6 52.4 55.8 47.4
## 850 40.2 63.4 56.0 57.3 59.3
## 851 55.0 48.7 66.4 56.1 36.8
## 852 58.9 34.4 39.0 43.0 42.1
## 853 59.4 65.0 61.6 53.7 60.2
## 854 61.8 62.6 55.5 40.4 55.1
## 855 64.3 32.0 60.2 63.7 55.8
## 856 24.7 56.8 56.0 60.4 59.0
## 857 44.3 43.0 66.0 52.8 58.0
##
## $height
## 1 2 3 4 5
## 3 168 160.0 170 167 155.0
## 16 130 170.0 174 176 168.0
## 18 168 175.0 167 169 154.0
## 89 153 158.0 155 178 157.0
## 102 174 148.0 171 170 172.0
## 108 175 170.0 173 174 177.0
## 117 153 150.0 170 170 168.0
## 136 175 178.0 170 177 140.0
## 220 157 154.0 172 151 155.0
## 243 172 178.0 174 170 141.0
## 279 170 170.0 167 179 153.0
## 283 141 173.0 130 172 168.0
## 329 130 178.0 150 151 150.0
## 350 150 140.0 153 175 179.0
## 383 148 168.0 162 169 148.0
## 393 130 184.0 152 178 168.0
## 405 135 155.0 170 159 156.0
## 439 160 155.0 168 178 145.0
## 454 140 175.0 149 178 164.0
## 489 140 130.0 174 173 172.0
## 509 173 140.0 160 167 155.0
## 532 158 161.0 167 150 156.0
## 558 176 171.0 145 175 172.0
## 579 155 160.0 153 164 174.0
## 593 173 176.0 160 170 167.0
## 628 174 151.0 180 169 167.0
## 668 164 150.0 141 150 178.0
## 687 141 170.0 178 180 171.0
## 691 178 155.0 169 155 160.0
## 696 141 140.0 175 174 165.0
## 704 172 157.0 180 148 160.0
## 714 149 150.0 177 175 144.0
## 716 169 171.0 162 153 162.5
## 723 165 152.0 173 174 179.0
## 725 177 130.0 165 165 150.0
## 726 162 153.0 176 172 141.0
## 727 166 153.0 140 169 158.0
## 728 172 175.0 157 177 173.0
## 729 168 184.0 145 168 150.0
## 730 164 140.0 165 161 140.0
## 731 151 148.0 164 160 148.0
## 732 178 171.0 170 157 170.0
## 733 140 168.0 158 162 169.0
## 735 172 165.0 143 170 159.0
## 736 170 171.0 150 141 169.0
## 737 168 157.0 156 175 165.0
## 738 167 140.0 165 174 170.0
## 739 148 148.0 145 156 165.0
## 742 149 150.0 170 150 173.0
## 750 170 145.0 140 160 176.0
## 751 170 170.0 161 180 150.0
## 752 172 175.0 170 170 140.0
## 753 150 149.0 168 155 174.0
## 755 151 142.5 170 154 140.0
## 756 150 140.0 150 170 174.0
## 757 165 175.0 140 161 166.0
## 758 169 140.0 167 140 169.0
## 759 143 153.0 170 175 162.0
## 760 130 152.0 141 180 148.0
## 761 174 174.0 173 140 176.0
## 762 178 140.0 173 158 140.0
## 770 159 162.5 170 168 170.0
## 771 159 165.0 177 172 140.0
## 773 161 173.0 158 176 156.0
## 774 172 145.0 179 164 158.0
## 776 151 175.0 151 160 159.0
## 777 176 170.0 173 168 177.0
## 778 177 155.0 155 180 168.0
## 779 172 178.0 173 140 154.0
## 780 150 144.0 158 183 180.0
## 781 130 169.0 150 155 175.0
## 782 145 170.0 164 157 168.0
## 783 174 170.0 168 165 174.0
## 786 170 178.0 167 167 173.0
## 788 145 167.0 145 154 140.0
## 791 154 168.0 175 150 170.0
## 793 158 140.0 179 152 140.0
## 795 170 173.0 161 178 172.0
## 799 163 162.0 175 174 164.0
## 800 180 170.0 150 150 130.0
## 801 175 147.0 150 151 178.0
## 802 174 148.0 162 160 172.0
## 803 173 170.0 171 162 154.0
## 804 172 168.0 175 141 158.0
## 805 150 161.0 162 171 150.0
## 807 158 155.0 148 174 140.0
## 827 163 176.0 163 172 172.0
## 832 165 140.0 150 140 149.0
## 834 171 175.0 176 165 178.0
## 842 178 168.0 155 151 145.0
## 847 182 168.0 145 178 162.0
## 852 170 170.0 173 170 175.0
## 857 150 163.0 171 165 150.0
##
## $weight
## 1 2 3 4 5
## 3 70.0 59.0 70.00 60.0 58.00
## 16 43.0 66.0 74.00 76.0 73.00
## 18 61.0 77.0 58.00 55.0 53.00
## 89 59.0 58.0 62.00 76.0 64.00
## 102 71.0 55.0 67.00 55.2 65.00
## 108 59.0 63.7 69.00 60.0 60.00
## 117 58.0 54.0 75.00 55.0 65.00
## 136 66.0 75.0 85.00 65.0 58.00
## 220 59.0 51.0 65.00 64.0 53.00
## 243 67.0 69.0 90.00 61.0 61.65
## 279 60.0 78.0 66.00 80.0 50.00
## 283 48.0 59.0 45.00 63.0 63.70
## 329 49.0 62.0 54.00 61.0 59.00
## 350 56.0 55.0 68.00 76.0 70.00
## 383 53.3 65.0 67.00 84.0 65.00
## 393 48.0 112.0 47.00 70.0 56.00
## 405 48.0 62.0 65.00 64.0 58.00
## 439 58.0 60.0 55.00 69.0 75.00
## 454 55.2 67.0 50.00 64.0 65.00
## 489 54.0 46.0 69.00 71.0 62.00
## 509 65.0 53.0 65.00 65.0 60.00
## 532 56.0 55.2 61.00 56.0 60.00
## 558 68.0 72.0 55.00 95.0 64.00
## 579 58.0 60.0 75.00 65.0 60.00
## 593 59.0 60.0 55.00 58.0 95.00
## 628 79.0 56.0 65.00 55.0 57.00
## 668 60.0 53.3 53.00 51.0 61.00
## 687 56.0 50.0 63.00 77.0 59.00
## 691 70.0 99.0 74.00 58.0 74.00
## 696 54.0 53.3 59.00 76.0 64.00
## 704 59.0 60.0 81.00 52.0 66.00
## 714 52.0 51.0 57.00 72.0 62.00
## 716 73.0 60.0 62.00 53.0 62.00
## 723 55.0 63.7 64.00 72.0 93.00
## 725 60.0 45.0 60.00 67.0 56.00
## 726 55.0 59.0 77.00 63.0 66.45
## 727 60.0 62.0 51.00 65.0 60.00
## 728 92.0 62.0 60.00 68.0 76.00
## 729 70.0 85.0 51.00 61.0 64.00
## 730 60.0 53.0 58.00 59.0 52.00
## 731 66.0 68.0 59.00 65.0 57.00
## 732 65.0 58.0 61.00 56.0 56.00
## 733 52.0 65.0 52.00 66.0 61.00
## 735 58.0 68.0 52.00 70.0 55.00
## 736 52.0 84.0 55.00 51.0 62.00
## 737 59.0 56.0 63.00 70.0 69.00
## 738 60.0 48.0 67.00 66.0 60.00
## 739 62.0 54.0 62.00 60.0 68.00
## 742 55.0 60.0 79.00 53.0 74.00
## 750 60.0 50.0 53.00 65.0 68.00
## 751 72.0 74.0 66.45 86.0 53.00
## 752 58.0 65.0 67.00 60.0 60.00
## 753 68.0 52.0 64.00 71.0 63.00
## 755 53.0 62.0 76.00 54.0 46.00
## 756 60.0 49.0 66.00 90.0 63.00
## 757 69.0 82.0 55.00 61.0 74.00
## 758 59.0 45.0 72.00 58.0 66.00
## 759 48.0 52.0 70.00 59.0 62.00
## 760 48.0 48.0 52.00 95.0 46.00
## 761 65.0 58.0 82.00 53.0 75.00
## 762 80.0 51.0 70.00 55.0 50.00
## 770 62.0 65.0 64.00 61.0 85.00
## 771 55.0 69.0 61.65 60.0 58.00
## 773 67.0 78.0 60.00 60.0 67.00
## 774 62.0 51.0 100.00 93.0 62.00
## 776 49.0 78.0 60.00 60.0 58.00
## 777 58.0 73.0 58.00 64.0 65.00
## 778 73.0 55.0 70.00 68.0 66.00
## 779 68.0 75.0 79.00 58.0 61.00
## 780 65.0 54.0 66.00 86.0 59.00
## 781 43.0 61.0 55.00 59.0 70.00
## 782 51.0 89.0 64.00 63.7 63.00
## 783 58.0 59.0 55.00 66.0 58.00
## 786 75.0 62.0 60.00 70.0 57.00
## 788 54.0 64.0 72.00 58.0 52.00
## 791 53.0 68.0 67.00 55.0 62.00
## 793 62.0 51.0 75.00 53.0 47.00
## 795 62.0 67.0 59.00 62.0 64.00
## 799 90.0 60.0 65.00 57.0 60.00
## 800 74.0 62.0 63.00 72.0 48.00
## 801 70.0 60.0 50.00 60.0 99.00
## 802 71.0 50.0 78.00 67.0 59.00
## 803 64.0 69.0 73.00 68.0 60.00
## 804 68.0 65.0 75.00 60.0 50.00
## 805 51.0 60.0 69.00 59.0 63.00
## 807 60.0 53.0 50.00 57.0 55.00
## 834 70.0 59.0 73.00 59.0 78.00
## 842 74.0 52.0 58.00 55.0 58.00
## 847 90.0 65.0 62.00 74.0 60.00
## 852 65.0 67.0 61.00 52.0 100.00
## 857 55.0 59.0 56.00 59.0 60.00
##
## $BMI
## 1 2 3 4 5
## 3 24.72518 22.89282 24.31412 21.61281 24.22145
## 16 26.07897 22.86253 24.44444 24.67105 25.95156
## 18 21.51386 25.20398 20.90420 17.77778 22.67574
## 89 25.14861 23.38869 25.51020 24.16716 25.76298
## 102 23.43750 25.33333 23.03005 18.81892 22.05805
## 108 18.81892 21.35931 22.52151 18.73049 18.59012
## 117 24.80159 24.12175 26.15563 19.03114 23.05175
## 136 21.30395 23.71184 29.05475 20.02884 29.38468
## 220 23.93899 21.96712 21.35931 27.54821 21.92613
## 243 22.43230 21.41094 29.72652 21.25850 29.40227
## 279 20.56933 27.18090 23.37258 25.39062 21.96712
## 283 24.60973 19.92513 26.72287 21.25850 22.37568
## 329 27.96802 18.59012 24.21875 26.29758 26.07897
## 350 24.97399 28.30533 28.88889 24.97399 21.48438
## 383 24.38653 22.98540 25.21625 29.05475 29.21011
## 393 27.85201 33.44382 21.20311 22.12974 19.84127
## 405 26.34649 25.71166 22.49135 25.33333 23.83673
## 439 22.65625 24.85795 19.48696 21.61281 33.62209
## 454 27.54821 21.22789 22.83288 19.14672 24.21875
## 489 26.95984 27.47138 22.77319 23.49524 20.90420
## 509 20.54419 26.81359 24.78426 23.30109 24.81633
## 532 22.31328 21.51386 21.82995 24.77210 24.60938
## 558 21.97134 24.67105 26.07897 32.45568 21.61281
## 579 24.16716 23.58833 31.64062 24.21875 18.90204
## 593 18.90204 18.59012 21.48438 19.67517 32.87197
## 628 26.44628 24.74094 18.26150 19.37716 20.02884
## 668 21.40309 23.73996 26.12245 23.14050 19.03114
## 687 27.58020 17.91509 18.36900 23.60128 19.95936
## 691 20.40816 36.67820 26.14269 24.16327 28.65014
## 696 26.95312 26.95984 18.59012 25.33284 23.43750
## 704 19.72104 24.46460 25.39062 24.03461 25.51020
## 714 23.66524 23.24380 17.57812 23.52941 28.65014
## 716 25.72103 20.20202 23.42209 22.98540 23.19109
## 723 20.51913 26.82742 21.35780 23.87543 31.11111
## 725 18.59012 26.47211 22.12974 24.60938 24.97399
## 726 21.25850 25.39062 24.81994 21.46194 33.67347
## 727 21.35931 26.25958 25.76298 22.22222 24.15882
## 728 32.04615 19.53125 24.46460 21.23057 25.63692
## 729 24.84098 25.51020 24.38653 20.54419 28.57143
## 730 22.38631 26.95312 21.35780 22.86253 26.25958
## 731 28.04282 30.48316 20.40816 25.39062 25.86451
## 732 20.20202 18.90204 21.22281 23.03005 17.77778
## 733 26.21882 23.04002 21.46194 25.14861 21.07720
## 735 19.48696 24.97399 25.46198 23.78121 20.63883
## 736 17.92822 29.82325 24.44180 25.71166 21.61281
## 737 20.70082 22.98540 25.30864 22.65625 25.39062
## 738 21.51386 24.85795 24.56747 21.48438 19.55556
## 739 28.30533 24.80159 28.99931 24.60973 24.97399
## 742 24.80159 26.12245 27.58020 23.87511 24.80159
## 750 19.55556 24.16327 26.83865 25.28257 21.36752
## 751 24.97399 25.30864 25.51020 26.77551 23.87511
## 752 19.48696 20.70082 23.12062 19.55556 29.82325
## 753 28.73175 23.80869 22.72440 29.05329 20.76125
## 755 23.43750 29.06977 26.44628 23.12062 24.08822
## 756 26.44628 25.18079 28.65014 32.04615 20.54989
## 757 25.39062 26.98962 27.65625 23.42209 27.11111
## 758 20.76125 23.60128 25.68956 28.65014 22.89282
## 759 23.60128 22.43230 24.21875 18.59012 23.56663
## 760 27.41445 20.54419 25.95156 31.21748 21.96712
## 761 21.45329 18.36547 28.30533 26.83865 24.38653
## 762 25.24934 26.31464 23.30668 22.38631 25.60554
## 770 24.50895 24.56747 22.12974 21.45357 29.41176
## 771 21.35931 25.39062 17.77778 20.19558 29.38468
## 773 25.30864 26.34649 23.73996 18.08021 27.43725
## 774 20.70082 24.76757 32.56189 34.47525 24.80159
## 776 22.03857 25.71166 26.17519 23.63403 22.89282
## 777 18.42404 25.28257 19.25703 22.67574 18.80787
## 778 23.30668 23.04688 28.65014 20.70082 23.33547
## 779 22.83288 23.49524 26.83865 28.65014 25.51020
## 780 28.88889 26.17188 26.34649 26.56434 17.14678
## 781 25.76298 21.35780 24.44180 24.56747 22.65625
## 782 24.50895 29.93827 23.80869 25.71166 22.32143
## 783 18.59012 20.67901 18.73049 24.22145 18.59012
## 786 25.95156 19.10009 20.54419 25.01352 18.59012
## 788 25.60554 22.98540 31.74179 24.44180 26.66667
## 791 22.07108 23.99946 21.36752 24.60973 21.07720
## 793 23.97959 25.95156 23.30668 23.30109 24.38653
## 795 21.61281 21.64127 22.65625 17.77778 20.54419
## 799 33.62209 23.03005 21.22281 18.36547 22.06035
## 800 22.77319 21.45329 27.82931 30.47797 27.42857
## 801 22.22222 26.82742 21.91381 25.95156 32.34682
## 802 23.33768 23.30109 28.73175 26.07897 18.90204
## 803 21.45329 23.55556 24.81994 25.68956 25.33284
## 804 22.98540 22.64086 24.48980 28.72679 20.02884
## 805 23.18339 23.18367 26.17519 19.62826 27.06405
## 807 24.08822 22.06035 23.30668 18.42404 27.54821
## 827 28.65014 24.72946 28.99931 25.96953 25.96454
## 832 18.36547 25.76298 22.77319 25.51020 23.05175
## 834 23.88946 18.59012 23.53037 21.36752 24.80159
## 842 23.33768 18.42404 24.21875 24.16327 27.34375
## 847 27.99036 23.03005 28.65014 23.38869 22.86253
## 852 22.40588 22.52151 20.19558 18.59113 32.87197
## 857 24.60938 22.38631 19.25703 21.36752 26.44628
##
## $obesity
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $TC
## 1 2 3 4 5
## 2 171.0 243 289.0 228 169.0
## 3 150.0 150 199.0 140 231.0
## 29 168.0 191 169.0 205 136.0
## 87 115.0 193 164.0 151 173.0
## 115 126.0 161 199.0 146 146.0
## 162 166.0 165 163.0 239 103.0
## 190 208.0 171 217.0 148 177.0
## 235 177.2 233 160.0 160 168.0
## 413 209.0 193 160.0 131 272.0
## 430 183.0 205 255.0 200 143.0
## 488 154.0 103 111.8 185 144.0
## 508 217.0 255 222.0 184 255.0
## 579 170.0 160 159.0 207 103.0
## 729 116.0 197 198.0 144 211.0
## 732 141.0 197 195.0 131 206.0
## 751 172.0 194 275.0 234 191.0
## 752 201.0 246 175.0 160 238.0
## 755 154.0 169 120.0 113 200.0
## 758 182.0 152 96.0 217 134.0
## 770 117.6 209 123.0 181 141.0
## 771 244.0 166 196.0 118 167.0
## 778 103.0 246 123.0 204 132.8
## 797 212.0 231 222.0 258 293.0
##
## $LDLC
## 1 2 3 4 5
## 2 85 161 161 146 117
## 3 71 72 133 86 156
## 29 90 111 84 100 82
## 72 136 123 108 118 133
## 87 75 110 108 124 123
## 115 67 53 134 86 87
## 162 116 108 100 181 60
## 190 152 121 149 93 137
## 235 115 145 91 102 103
## 413 102 129 87 66 202
## 430 93 140 182 123 124
## 488 97 57 78 94 92
## 508 141 156 107 125 109
## 579 74 91 119 140 50
## 729 150 128 132 98 123
## 732 78 145 149 78 144
## 751 84 113 212 139 114
## 752 102 141 115 87 174
## 755 82 115 58 62 119
## 758 122 84 48 131 79
## 770 64 141 74 114 85
## 771 173 103 103 150 104
## 778 50 174 60 108 79
## 797 141 147 156 164 214
##
## $HDLC
## 1 2 3 4 5
## 2 42 33 89 37 23
## 3 41 10 10 29 35
## 29 42 25 60 52 32
## 87 28 48 33 27 46
## 115 38 26 34 31 29
## 162 35 43 44 43 23
## 190 38 36 33 38 34
## 235 39 48 42 36 34
## 413 46 37 28 25 41
## 430 43 35 38 68 15
## 488 38 40 27 42 28
## 508 46 65 37 42 61
## 579 60 39 21 46 8
## 729 23 34 40 25 49
## 732 37 40 38 29 26
## 751 38 46 36 26 49
## 752 54 60 43 10 33
## 755 33 47 28 41 41
## 758 44 34 26 38 27
## 770 21 47 20 45 28
## 771 46 27 36 35 30
## 778 41 51 38 44 20
## 797 27 36 8 47 24
##
## $TG
## 1 2 3 4 5
## 3 76 184 241 153 194
## 29 126 164 55 64 57
## 115 166 194 155 161 65
## 190 127 78 414 106 40
## 235 74 117 52 109 108
## 488 49 61 45 128 151
## 508 247 137 459 129 55
## 579 174 124 154 192 184
## 751 142 170 182 276 147
## 752 38 151 58 261 164
## 755 182 49 20 30 175
## 758 151 99 87 71 114
## 770 39 89 92 156 75
## 771 51 52 184 66 139
## 857 406 37 156 62 59
##
## $DM
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $HBP
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
##
## $smoking
## [1] 1 2 3 4 5
## <0 rows> (or 0-length row.names)
# 4_3. 5개의 데이터셋 중 1번 데이터셋으로 대치하는 방법
completedData1 <- complete(imputed, 1)
sum(is.na(completedData1))
## [1] 0
# 4_4. 5개 통합분석된 데이터로 대치하는 방법
completedData <- complete(imputed)
# 4_5. 밀도plot에서 빨간색들이 5개의 만들어낸 분포, 파란색-> 마지막 가장 좋은 na 대치한 것의 분포
densityplot(imputed) #
'한의대 생활 > └ 통계에 대한 나의 정리' 카테고리의 다른 글
3-5. 확률변수 , 확률분포, 그리고 대표적 확률분포 (0) | 2019.02.17 |
---|---|
3-4. Rmarkdown 후향적 코호트 연구와 Propensity Score Matching(PSM) (0) | 2019.02.16 |
3-2. 결측값(결측치) (1) | 2019.02.14 |
3-1. 이상치 (0) | 2019.02.14 |
3. 통계적 추론과 가설검정, p-value (0) | 2019.02.05 |