I am dealing with a dataframe with an "Age" column varying from 1 to 100, and a "Clothing" column indicating 6 types of cloths. I want to divide the age values into 5 categories: 25 and under, 26-35, 36-45, 46-64, 65 and above. For example, having a new age column with character strings of those 5 categories. How do I do that? Thanks a lot in advance!
Asked
Active
Viewed 89 times
0
-
1You are getting down voted (not me) because you did not provide a minimal example: see [mcve] for next time – denis Dec 02 '19 at 21:24
1 Answers
1
cut()
is a great function to use here. Use the labels
argument to cut()
to control the labels:
d <- data.frame(
age = c(5, 27, 38, 59, 88)
)
d$age_cat <- cut(
d$age,
breaks = c(0, 25, 35, 45, 64, Inf),
labels = c("25 and under", "26-35", "36-45", "46-64", "65 and above")
)
d
#> age age_cat
#> 1 5 25 and under
#> 2 27 26-35
#> 3 38 36-45
#> 4 59 46-64
#> 5 88 65 and above
Created on 2019-12-02 by the reprex package (v0.3.0)

davechilders
- 8,693
- 2
- 18
- 18