Test1

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years<-c(1980,1980, 1985, 1990)
scores<-c(34,44,56,83)
df<-data.frame(years, scores)
df[,1]

## [1] 1980 1980 1985 1990

df[,2]

## [1] 34 44 56 83

df$years

## [1] 1980 1980 1985 1990

df$scores

## [1] 34 44 56 83

df[df$scores < 50,]

##   years scores
## 1  1980     34
## 2  1980     44

df[df$years ==1980,"scores" ]

## [1] 34 44

subject_name<-c("meechie meech","the guy","Neo Meechie")
temperature<-c(98.1,98.6,101.4)
flu_status<-c(FALSE,FALSE, TRUE)
df<-data.frame(subject_name, temperature, flu_status)
df[,1]

## [1] "meechie meech" "the guy"       "Neo Meechie"

df[,2]

## [1]  98.1  98.6 101.4

df[,3]

## [1] FALSE FALSE  TRUE

temperature[-2]

## [1]  98.1 101.4

subject_name[1:3]

## [1] "meechie meech" "the guy"       "Neo Meechie"

flu_status[3]

## [1] TRUE

gender<-factor(c("MALE", "FEMALE", "MALE"))
gender[1]

## [1] 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

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 meechie meech        98.1      FALSE   MALE     O   SEVERE
## 2       the guy        98.6      FALSE FEMALE    AB     MILD
## 3   Neo Meechie       101.4       TRUE   MALE     A MODERATE

pt_data$gender

## [1] MALE   FEMALE MALE  
## Levels: FEMALE MALE

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

##    subject_name temperature flu_status gender blood symptoms   temp_c
## 1 meechie meech        98.1      FALSE   MALE     O   SEVERE 36.72222
## 2       the guy        98.6      FALSE FEMALE    AB     MILD 37.00000
## 3   Neo Meechie       101.4       TRUE   MALE     A MODERATE 38.55556

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