Add column which contains binned values of an integer column
I have a dataframe with a few columns, one of those columns is ranks, an integer between 1 and 20. I want to create another column that contains a bin value like "1-4", "5-10", "11-15", "16-20".
What is the most effective way to do this?
the data frame that I have looks like this(.csv format):
rank,name,info
1,steve,red
3,joe,blue
6,john,green
3,liz,yellow
15,jon,pink
and I want to add another column to the dataframe, so it would be like this:
rank,name,info,binValue
1,steve,red,"1-4"
3,joe,blue,"1-4"
6,john,green, "5-10"
3,liz,yellow,"1-4"
15,jon,pink,"11-15"
The way I am doing it now is not working, as I would like to keep the data.frame intact, and just add another column if the value of df$ranked is within a given range. thank you.
Answer
See ?cut and specify breaks (and maybe labels).
x$bins <- cut(x$rank, breaks=c(0,4,10,15), labels=c("1-4","5-10","10-15"))
x
# rank name info bins
# 1 1 steve red 1-4
# 2 3 joe blue 1-4
# 3 6 john green 5-10
# 4 3 liz yellow 1-4
# 5 15 jon pink 10-15