norm.test: Normal Distribution Test

In arnima-github/arni: Arni's Toolbox

Normal Distribution Test

Description

Test whether sample is normal distributed.

Usage

norm.test(x, plot = TRUE, dots = 50, verbose = FALSE, pch = 16,
  cex.points = 1, ...)

Arguments

x	a numeric vector.
plot	whether to plot histogram and overlay norm distribution.
dots	the number of dots in plotted normal distribution.
verbose	whether to return expected curve as a data frame containing x and y.
pch	point character.
cex.points	point size.
...	passed to hist.

Value

Test result as htest object.

Note

Shapiro-Wilk test is used, as it seems to be preferred over the traditional G-test and Kolmogorov-Smirnov test.

arnima-github/arni documentation built on Oct. 28, 2023, 6:18 p.m.