In R, I typically see simulated numbers created to build toy examples, or test out code. But for those cases, other functions, such as the runif() or rnorm() functions are usually selected to create the simulated data:
The rnorm() function will give you a set of data with a normal distribution, making it really good to learn about probabilities of continuous variables:
set.seed(100)
hist(rnorm(100))
Ideally, one starts practicing calculating probabilities on non-simulated data sets, such as iris or mtcars