sim.qqnorm {animation} | R Documentation |
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, ...)
n |
integer: sample size |
... |
other arguments passed to qqnorm
|
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.
NULL
Yihui Xie <http://yihui.name>
oopt = ani.options(interval = 0.1, nmax = 100) op = par(mar = c(3, 3, 2, 0.5), mgp = c(1.5, 0.5, 0), tcl = -0.3) sim.qqnorm() par(op) ## Not run: # HTML animation page ani.options(ani.height = 500, ani.width = 500, nmax = 100, interval = 0.1, title = "Demonstration of Simulated QQ Plots", description = "This animation shows the QQ plots of random numbers from a Normal distribution. Does them really look like normally distributed?") ani.start() par(mar = c(3, 3, 1, 0.5), mgp = c(1.5, 0.5, 0), tcl = -0.3) sim.qqnorm(n = 15, pch = 20, main = "") ani.stop() ## End(Not run) ani.options(oopt)