# Some (Pseudo-) Random Number Stuff in R Some (Pseudo-) Random Number Stuff in R Use runif to make a vector of

Random numbers with a uniform distribution Uniform means the number is as likely to fall between 0.1 and 0.2 as between 0.5 and 0.6, and so on.

As opposed to a normal distribution around of mean of 0.5, then it is more likely to be close to the mean. Result a vector with 100 elements or components

Apply some of the statistical methods to the vector. Using the ifelse() method to turn the

uniform numbers into a coin-toss simulation Another way of simulating a coin toss in R using sample

The table method gets us the frequencies The replace=TRUE part puts a value

back into the set after it is picked. It allows duplications The replace=FALSE part does not put a value back into the set after it

is picked. It prevents duplications If the range is 1 to 6 and replace=TRUE we have simulated 100 die rolls. Then the table

method yields the frequencies You can make a fast histogram of the die roll simulation by entering hist(dice)

Adding a breaks argument a sequence from 0.5 to 6.5 made the histogram a little nicer