CW02425

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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-"))

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

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  <NA>   SEVERE
## 2     Jane Doe        98.6      FALSE FEMALE  <NA>     MILD
## 3 Steve Graves       101.4       TRUE   MALE     A MODERATE

pt_data[1,2]

## [1] 98.1

pt_data[,]

##   subject_name temperature flu_status gender blood symptoms
## 1     John Doe        98.1      FALSE   MALE  <NA>   SEVERE
## 2     Jane Doe        98.6      FALSE FEMALE  <NA>     MILD
## 3 Steve Graves       101.4       TRUE   MALE     A MODERATE

pt_data[c(1,3),c(2,4)]

##   temperature gender
## 1        98.1   MALE
## 3       101.4   MALE

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  <NA>   SEVERE 36.72222
## 2     Jane Doe        98.6      FALSE FEMALE  <NA>     MILD 37.00000
## 3 Steve Graves       101.4       TRUE   MALE     A MODERATE 38.55556

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