subject_name<-c("John Doe","Jane Doe","Steve Graves")
temperature<-c(98.1,98.6,101.4)
flu_status<-c(FALSE,FALSE,TRUE)
temperature[2]
## [1] 98.6
temperature[2:3]
## [1] 98.6 101.4
temperature[-2]
## [1] 98.1 101.4
gender<-factor(c("MALE","FEMALE","MALE"))
gender
## [1] MALE FEMALE MALE
## Levels: FEMALE MALE
blood<-factor(c("O","AB","A"),levels =c("A","B","AB","O"))
blood
## [1] O AB A
## Levels: A B AB O
symptoms<-factor(c("SEVERE","MILD","MODERATE"),levels=c("MILD","MODERATE","SEVERE"),ordered=TRUE)
symptoms
## [1] SEVERE MILD MODERATE
## Levels: MILD < MODERATE < SEVERE
symptoms>"MODERATE"
## [1] TRUE FALSE FALSE
symptoms>="MODERATE"
## [1] TRUE FALSE TRUE
subject_name[1]
## [1] "John Doe"
temperature[1]
## [1] 98.1
flu_status[1]
## [1] FALSE
gender[1]
## [1] MALE
## Levels: FEMALE MALE
blood[1]
## [1] O
## Levels: A B AB O
symptoms[1]
## [1] SEVERE
## Levels: MILD < MODERATE < SEVERE
pt_data<-data.frame(subject_name,temperature,flu_status,gender,blood,symptoms,stringsAsFactors = FALSE)
pt_data
## subject_name temperature flu_status gender blood symptoms
## 1 John Doe 98.1 FALSE MALE O SEVERE
## 2 Jane Doe 98.6 FALSE FEMALE AB MILD
## 3 Steve Graves 101.4 TRUE MALE A MODERATE
pt_data$subject_name
## [1] "John Doe" "Jane Doe" "Steve Graves"
pt_data[2,]
## subject_name temperature flu_status gender blood symptoms
## 2 Jane Doe 98.6 FALSE FEMALE AB MILD
pt_data[c(1,3),c(4,2)]
## gender temperature
## 1 MALE 98.1
## 3 MALE 101.4
pt_data[c(1,3),c("temperature","gender")]
## temperature gender
## 1 98.1 MALE
## 3 101.4 MALE
pt_data$temp_c<-(pt_data$temperature-32)*(5/9)
pt_data
## subject_name temperature flu_status gender blood symptoms temp_c
## 1 John Doe 98.1 FALSE MALE O SEVERE 36.72222
## 2 Jane Doe 98.6 FALSE FEMALE AB MILD 37.00000
## 3 Steve Graves 101.4 TRUE MALE A MODERATE 38.55556
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