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