Split Continuous Into Categorical Andy Field
How to a split a continuous variable into multiple groups in R?
Splitting a continuous variable is required when we want to compare different levels of a categorical variable based on some characteristics of the continuous variable. For example, creating the salary groups from salary and then comparing those groups using analysis of variance or Kruskal-Wallis test. To split a continuous variable into multiple groups we can use cut2 function of Hmisc package −
Example
Live Demo
Consider the below data frame −
set.seed(2) ID<-1:25 Salary<-sample(20:50,25,replace=TRUE) df<-data.frame(ID,Salary) df
Output
ID Salary 1 1 40 2 2 34 3 3 25 4 4 25 5 5 27 6 6 36 7 7 48 8 8 36 9 9 31 10 10 48 11 11 28 12 12 37 13 13 30 14 14 20 15 15 22 16 16 41 17 17 35 18 18 37 19 19 38 20 20 42 21 21 50 22 22 27 23 23 26 24 24 20 25 25 41
Splitting df based on Salary and creating new column for Salary Group having five groups −
library(Hmisc) df$Salary_Group<-as.numeric(cut2(df$Salary, g=5)) df ID Salary Salary_Group 1 1 40 4 2 2 34 3 3 3 25 1 4 4 25 1 5 5 27 2 6 6 36 3 7 7 48 5 8 8 36 3 9 9 31 3 10 10 48 5 11 11 28 2 12 12 37 4 13 13 30 2 14 14 20 1 15 15 22 1 16 16 41 4 17 17 35 3 18 18 37 4 19 19 38 4 20 20 42 5 21 21 50 5 22 22 27 2 23 23 26 2 24 24 20 1 25 25 41 4
Splitting df based on Salary and creating new column for Salary Group having three groups −
df$Salary_Group<-as.numeric(cut2(df$Salary, g=3)) df ID Salary Salary_Group 1 1 40 3 2 2 34 2 3 3 25 1 4 4 25 1 5 5 27 1 6 6 36 2 7 7 48 3 8 8 36 2 9 9 31 2 10 10 48 3 11 11 28 1 12 12 37 2 13 13 30 2 14 14 20 1 15 15 22 1 16 16 41 3 17 17 35 2 18 18 37 2 19 19 38 3 20 20 42 3 21 21 50 3 22 22 27 1 23 23 26 1 24 24 20 1 25 25 41 3 df$Salary_Group [1] 3 2 1 1 1 2 3 2 2 3 1 2 2 1 1 3 2 2 3 3 3 1 1 1 3
Here, the group sizes are different because the sample size is 25 which is not a multiple of 3.
Updated on 21-Aug-2020 06:32:27
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Source: https://www.tutorialspoint.com/how-to-a-split-a-continuous-variable-into-multiple-groups-in-r
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