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How to manually set the colors of density plot for categories in R?
To create density plot with manually setting the colors of categories, we can follow the below steps −
- Frist of all, create a data frame.
- Load ggplot2 package and creating the density plot for the categories.
- Create the density plot for the categories in the data frame by using scale_fill_manual function.
Create the data frame
Let's create a data frame as shown below −
categories<-sample(LETTERS[1:3],20,replace=TRUE) DV<-sample(1:1000,20) df<-data.frame(categories,DV) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
categories DV 1 A 681 2 C 770 3 A 204 4 B 692 5 A 852 6 A 125 7 B 797 8 C 464 9 A 769 10 C 923 11 C 184 12 A 816 13 A 755 14 A 554 15 A 577 16 B 989 17 A 683 18 B 887 19 B 787 20 B 757
Load ggplot2 package and create density plot for categories
Use geom_density with fill function inside aes to create density plot for categories filled with different colors −
library(ggplot2) categories<-sample(LETTERS[1:3],20,replace=TRUE) DV<-sample(1:1000,20) df<-data.frame(categories,DV) ggplot(df,aes(DV))+geom_density(aes(fill=categories),alpha=0.5)
Output
Create the density plot for categories by manually setting the colors
Use scale_fill_manual function of ggplot2 package to create the density plot with manually defining the colors of densities −
categories<-sample(LETTERS[1:3],20,replace=TRUE)
DV<-sample(1:1000,20)
df<-data.frame(categories,DV)
library(ggplot2)
ggplot(df,aes(DV))+geom_density(aes(fill=categories),alpha=0.5)+scale_fill_manual(val
ues=c("A"="yellow","B"="red","C"="blue"))Output
Updated on: 14-Aug-2021
1K+ Views
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