RcmdrMisc: normalityTest – R documentation

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normalityTest

Normality Tests

Description

Perform one of several tests of normality, either for a variable or for a variable by groups. The normalityTest function uses the shapiro.test function or one of several functions in the nortest package. If tests are done by groups, then adjusted p-values, computed by the Holm method, are also reported (see p.adjust).

Usage

normalityTest(x, ...)

## S3 method for class 'formula'
normalityTest(formula, test, data, ...)

## Default S3 method:
normalityTest(x, 
    test=c("shapiro.test", "ad.test", "cvm.test", "lillie.test", 
        "pearson.test", "sf.test"),
    groups, vname, gname, ...)

Arguments

`x`	numeric vector or formula.
`formula`	one-sided formula of the form `~x` or two-sided formula of the form `x ~ groups`, where `x` is a numeric variable and `groups` is a factor.
`data`	a data frame containing the data for the test.
`test`	quoted name of the function to perform the test.
`groups`	optional factor to divide the data into groups.
`vname`	optional name for the variable; if absent, taken from `x`.
`gname`	optional name for the grouping factor; if absent, taken from `groups`.
`...`	any arguments to be passed down; the only useful such arguments are for the `pearson.test` function in the nortest package.

Value

If testing by groups, the function invisibly returns NULL; otherwise it returns an object of class "htest", which normally would be printed.

Author(s)

John Fox jfox@mcmaster.ca

Examples

data(Prestige, package="car")
  with(Prestige, normalityTest(income))
  normalityTest(income ~ type, data=Prestige, test="ad.test")
  normalityTest(~income, data=Prestige, test="pearson.test", n.classes=5)

RcmdrMisc

R Commander Miscellaneous Functions

v2.7-1

GPL (>= 2)

Authors

John Fox [aut, cre], Robert Muenchen [ctb], Dan Putler [ctb]

Initial release

2020-08-12