animation (version 1.1-4)

sim.qqnorm: Simulation of QQ plots for Normal distribution...

Description

Simulation of QQ plots for Normal distribution 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.

Usage

sim.qqnorm(n=20, ...)

Arguments

n

integer: sample size

...

other arguments passed to qqnorm

Value

• NULL

Details

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.

See Also

qqnorm

Examples

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)

# 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()
ani.options(oopt)