CW020425

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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[1]

## [1] 98.1

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

bloodsign <- factor(c("+", "-"), levels = c("+", "-"))
bloodsign

## [1] + -
## Levels: + -

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$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("temperature", "gender")]

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

pt_data$temp_c <- (pt_data$temperature - 32)* (5/9)
pt_data$temp_c 

## [1] 36.72222 37.00000 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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