R: Data Analysis and Visualization

Visualizing an empirical Cumulative Distribution Function

The empirical Cumulative Distribution Function (CDF) is the non-parametric maximum-likelihood estimation of the CDF. In this recipe, we will see how the empirical CDF can be produced.

Getting ready

To produce this plot, we need to use the latticeExtra library. We will use the simulated dataset as shown in the following code:

# 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…

To plot an empirical ...