R: Data Analysis and Visualization

Creating a boxplot

A boxplot is another important graph that summarizes the data along with the distribution. In this recipe, we will see how we can produce a boxplot in order to visualize the data summary with distributions.

Getting ready

To create the boxplot, we simulated the dataset as per the following code snippet:

# Set a seed value to make the data reproducible
set.seed(12345)
qqdata <-data.frame(disA=rnorm(n=100,mean=20,sd=3),
                disB=rnorm(n=100,mean=25,sd=4),
                disC=rnorm(n=100,mean=15,sd=1.5),
                age=sample((c(1,2,3,4)),size=100,replace=T),
                sex=sample(c("Male","Female"),size=100,replace=T),
                econ_status=sample(c("Poor","Middle","Rich"),
                size=100,replace=T))

How to do it…

The basic command that produces a box plot is as follows:

bwplot(~disA,data=qqdata) ...