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How to Plot a Beta Distribution in R (With Examples)

by Erma Khan

You can use the following syntax to plot a Beta distribution in R:

#define range
p = seq(0, 1, length=100)

#create plot of Beta distribution with shape parameters 2 and 10
plot(p, dbeta(p, 2, 10), type='l')

The following examples show how to use this syntax in practice.

Example 1: Plot One Beta Distribution

The following code shows how to plot a single Beta distribution:

#define range
p = seq(0,1, length=100)

#create plot of Beta distribution with shape parameters 2 and 10
plot(p, dbeta(p, 2, 10), type='l')

You can also customize the colors and axes labels of the plot:

#define range
p = seq(0,1, length=100)

#create custom plot of Beta distribution
plot(p, dbeta(p, 2, 10), ylab='density',
     type ='l', col='purple', main='Beta Distribution')

Example 2: Plot Multiple Beta Distributions

The following code shows how to plot multiple Beta distributions with different shape parameters:

#define range
p = seq(0,1, length=100)

#plot several Beta distributions
plot(p, dbeta(p, 2, 10), ylab='density', type ='l', col='purple')
lines(p, dbeta(p, 2, 2), col='red') 
lines(p, dbeta(p, 5, 2), col='blue')

#add legend
legend(.7, 4, c('Beta(2, 10)','Beta(2, 2)','Beta(1,1)'),
       lty=c(1,1,1),col=c('purple', 'red', 'blue'))

Additional Resources

The following tutorials explain how to plot other common distributions in R:

How to Plot a Normal Distribution in R
How to Plot a Chi-Square Distribution in R
How to Plot a Binomial Distribution in R
How to Plot a Poisson Distribution in R

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