We’ll look at those today, plus the Poisson ( rpois()) distribution for generating discrete counts. The basic distributions that I use the most for generating random numbers are the normal ( rnorm()) and uniform ( runif()) distributions. These functions always start with r (for “random”). This can be done via the functions for generating random deviates.

Using replicate() to repeatedly make a datasetĪn easy way to generate numeric data is to pull random numbers from some distribution.

Repeatedly simulate data with replicate().

Multiple quantitative variables with groups.

Simulate data with a difference among groups.

Simulate data with no differences among two groups.

Creating datasets with quantiative and categorical variables.

Repeat each element a different number of times.

Set the output vector length with the length.out argument.

Repeat a whole vector with the times argument.Repeat each element of a vector with each.Example of using the simulated numbers from rpois().Example of using the simulated numbers from runif().runif() pulls from the uniform distribution.Example of using the simulated numbers from rnorm().rnorm() to generate random numbers from the normal distribution.

Blackjack simulation in r