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How to create boxplots based on two factor data in R?
To create boxplots based on two factor data, we can create facets for one of the factors, where each facet will contain the boxplots for the second factor.
For example, if we have a data frame called df that contains two factor columns say F1 and F2 and one numerical column say Num then the boxplot based on these two factors can be created by using the below given command −
ggplot(df,aes(F1,Num))+geom_boxplot()+facet_wrap(~F2)
Example
Following snippet creates a sample data frame −
Gender<-sample(c("Male","Score"),20,replace=TRUE)
Class<-sample(c("First","Second","Third"),20,replace=TRUE)
Score<-sample(1:100,20)
df<-data.frame(Gender,Class,Score)
dfOutput
The following dataframe is created −
Gender Class Score 1 Score First 26 2 Score Second 97 3 Male Third 15 4 Male Second 6 5 Score First 40 6 Score Third 49 7 Male First 60 8 Score Second 41 9 Male Third 82 10 Male First 7 11 Score Third 85 12 Male Second 48 13 Score Third 35 14 Score First 38 15 Score Third 3 16 Male First 51 17 Score Third 37 18 Male First 9 19 Score Third 5 20 Score First 13
To load ggplot2 package and create boxplots for data in df, add the following code to the above snippet −
library(ggplot2) ggplot(df,aes(Class,Score))+geom_boxplot()+facet_wrap(~Gender)
Output
If you execute all the above given snippets as a single program, it generates the following Output −
Updated on: 03-Nov-2021
2K+ Views
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