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.
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))