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lawstat (version 3.4)

sj.test: Test of Normality -- SJ Test

Description

Perform the robust directed test of normality, which is based on the ratio of the classical standard deviation \(S\) to the robust standard deviation \(J\) (Average Absolute Deviation from the Median, MAAD) of the sample data. See Gel_etal_2007;textuallawstat.

Usage

sj.test(x, crit.values = c("t.approximation", "empirical"), N = 0)

Value

A list of class "htest" with the following components:

statistic

the standardized test statistic.

p.value

the \(p\)-value.

parameter

the ratio of the classical standard deviation \(S\) to the robust standard deviation \(J\).

data.name

a character string giving the name of the data.

Arguments

x

a numeric vector of data values.

crit.values

a character string specifying how the critical values should be obtained, i.e., approximated by the \(t\)-distribution (default) or empirically.

N

number of Monte Carlo simulations for the empirical critical values.

Author

Wallace Hui, Yulia R. Gel, Joseph L. Gastwirth, Weiwen Miao

References

See Also

rqq, rjb.test, jarque.bera.test

Examples

Run this code
data(bias)
sj.test(bias)

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