run-if vs. r-unif

In R, there is a function called runif.

At the beginning, I thought it were about running some code under some condition like the if-else statement.

Acutally, runif is to generate random sample from uniform distribution.

> runif(10)
 [1] 0.5942368 0.1305630 0.7846397 0.4326870 0.2199005 0.8692053 0.3500036
 [8] 0.9567366 0.3755901 0.8445254

Similarly, there is rpois, rnorm, rbeta, etc. for other distribution types.