Basic sample simulations in R
We already showed you the basics of generating random variables from common probability distributions in Chapter 2, Statistical Methods with R. For example, to simulate four numbers from a normal distribution with a mean of 10 and standard deviation of 3, we use the rnorm() function with the mean and sd arguments set to 10 and 3, respectively:
> rnorm(4, mean=10, sd=3) [1] 9.546714 8.600795 14.344557 11.669767
Similarly, we can simulate 10 numbers from a Poisson distribution with a lambda of 3 with rpois(10, lambda=3). A table showing the function names for the most common distributions is available in Chapter 2, Statistical Methods with R.
We can also select random variables from a predetermined vector using the sample() function. This function allows you to randomly select a specified number of elements with the size argument from a vector, with or without replacing the values taken with the replace argument set to TRUE or FALSE, respectively. For example...
