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Last data update: 2014.03.03

R: Jarque-Bera test for normality

jarque.test

R Documentation

Jarque-Bera test for normality

Description

This function performs the Jarque-Bera test on the given data sample to determine if the data are sample drawn from a normal population.

Usage

jarque.test(x)

Arguments

`x`	a numeric vector of data

Details

Under the hypothesis of normality, data should be symmetrical (i.e. skewness should be equal to zero) and have skewness chose to three. The Jarque-Bera statistic is chi-square distributed with two degrees of freedom.

Value

A list with class htest containing the following components:

`statistic`	the list containing the Jarque-Bera statistic
`p.value`	the p-value for the test.
`alternative`	a character string describing the alternative hypothesis.
`method`	a character string indicating what type of test was performed.
`data.name`	name of the data argument.

Author(s)

Frederick Novomestky fnovomes@poly.edu

References

Jarque, C. M., Bera, A. K. (1980) Efficient test for normality, homoscedasticity and serial independence of residuals, Economic Letters, Vol. 6 Issue 3, 255-259.

Examples

set.seed( 1234 )
x <- rnorm( 1000 )
jarque.test( x )