Syntax error How to create density plot for categories filled with different colors in R?

How to create density plot for categories filled with different colors in R?

To create density plot for categories filled with different colors, 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 fill function.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
df

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

  x y
1 C 19
2 A 49
3 A 94
4 C 5
5 A 45
6 A 23
7 B 33
8 A 99
9 C 73
10 A 1
11 B 84
12 A 61
13 A 7
14 C 51
15 B 43
16 B 31
17 C 67
18 C 77
19 C 50
20 B 80

Creating density plot for categories

Use geom_density with col function to create the density plot for categories −

library(ggplot2)
x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
ggplot(df,aes(y))+geom_density(aes(col=x),alpha=0.2)

Output

Create the density plot for the categories filled with different colors

Use geom_density with fill function to create the density plot for categories filled with different colors −

x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
ggplot(df,aes(y))+geom_density(aes(fill=x),alpha=0.2)

Output

Updated on: 2021-08-13T11:55:42+05:30

326 Views

Kickstart Your Career

Get certified by completing the course

Get Started
Advertisements