This demo shows the possible QQ plots created by random numbers generated from a Normal distribution so that users can get a rough idea about how QQ plots really look like.
sim.qqnorm(n = 20, last.plot = NULL, ...)integer: sample size
an expression to be evaluated after the plot is drawn, e.g.
expression(abline(0, 1)) to add the diagonal line
other arguments passed to qqnorm
NULL
When the sample size is small, it is hard to get a correct inference about the distribution of data from a QQ plot. Even if the sample size is large, usually there are outliers far away from the straight line. Therefore, don't overinterpret the QQ plots.
Examples at https://yihui.org/animation/example/sim-qqnorm/