I have a data frame like this:
id status 241 1 451 3 748 3 469 2 102 3 100 1 203 2 Now what I want to do is this:
1 corresponds to 'good' , 2 corresponds to 'moderate', 3 corresponds to 'bad'.
So my output should be like this:
id status 241 good 451 bad 748 bad 469 moderate 102 bad 100 good 203 moderate How to do this ? I tried to do this using if else but it is getting complicated.
It sounds like you want a labelled factor. You can try:
df$status <- factor(df$status, labels=c('Good','Moderate','Bad')) > df id status 1 241 Good 2 451 Bad 3 748 Bad 4 469 Moderate 5 102 Bad 6 100 Good 7 203 Moderate It depends on what is the type of status column. If they are not factors, you can do(as pointed out by Pascal)
level<-c("Good","Moderate","Bad") df$status<-level[df$status] data
df<-data.frame(item=c("apple","banana","orange","papaya","mango"),grade=c(1,3,2,1,3),stringsAsFactors=FALSE) And if it is set as factors, you may(as pointed out by Jay)
df$status<-factor(df$status, labels=c('Good','Moderate','Bad')) data
df<-data.frame(item=c("apple","banana","orange","papaya","mango"),grade=c(1,3,2,1,3),stringsAsFactors=TRUE) 
level <- c("good", "moderate", "bad"); df$status <- level[df$status]should work.