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
bloodsign<- factor(c("+","-", "-"), levels = c("+","-"))
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 TRUE
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[1,2]
## [1] 98.1
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[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 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
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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