Example
The following example first creates 10 random numbers in the interval 1 … 10 and assigns it to the variable
r and evaluates r to print its values.
Then, it creates another 1000 random variables and uses
plot(…) and hist(…) to demonstrate that the distrribution of runif is (more or less) uniform: set.seed(123) r <- runif(10, -1, 1) r # [1] -0.46469398 -0.45269714 0.18161681 0.03550296 0.08549162 0.35735277 # [7] 0.47083597 -0.84420644 0.77130939 0.87615484 X11() r <- runif(1000, 0, 1) plot(1:1000, r) z <- locator(1) # wait for mouse click or enter pressed hist(r) z <- locator(1) # wait for mouse click or enter pressed
Github repository about-r, path: /functions/runif.R
This is the plot: 
This is the historgram; 