I have a data frame with more than 400.000 observations and I\'m trying to add a column to it which its values depend on another column and sometimes multiple ones.
Same idea but assign it like this instead. No package needed.
M$Size <- ifelse(M$Number <= 50, 'Small', ifelse(M$Number <= 70, 'Medium', 'Big'))
Result:
Letter Number Size
1 A 5 Small
2 B 100 Big
3 C 60 Medium
Use cut
:
M$Size <- cut(M$Number, breaks = c(-Inf, 50, 70, Inf),
labels = c("small", "medium", "large"))
# etter Number Size
#1 A 5 small
#2 B 100 large
#3 C 60 medium
This will help you out -
# Creating a data frame
M <- data.frame(c("A","B","C"),c(5,100,60))
names(M) <- c("Letter","Number")
#adding a column
# if Number <= 50 Size is small,
# if Number is between 50 and 70, Size is Medium
# if Number is Bigger than 70, Size is Big
# M$Size[M$Number <= 50] <- "Small"
# Edit: No need to subset "Small"
M$Size <- "Small"
M$Size[M$Number >50 & M$Number<70] <- "Medium"
M$Size[M$Number > 70] <- "Big"
# Letter Number Size
# 1 A 5 Small
# 2 B 100 Big
# 3 C 60 Medium
See this on R-Fiddle