This function performs Bonett-Seier test of Geary's measure of kurtosis
for normally distributed data.
Usage
bonett.test(x, alternative = c("two.sided", "less", "greater"))
Arguments
x
a numeric vector of data values.
alternative
a character string specifying the alternative hypothesis,
must be one of '"two.sided"' (default), '"greater"' or
'"less"'. You can specify just the initial letter.
Details
Under the hypothesis of normality, data should have Geary's kurtosis
equal to sqrt(2/pi) (0.7979). This test has such null hypothesis and is
useful to detect a significant difference of Geary's kurtosis in normally
distributed data.
Value
A list with class htest containing the following components:
statistic
the list containing Geary's kurtosis estimator and its transformation.
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)
Lukasz Komsta
References
Bonett, D.G., Seier, E. (2002) A test of normality with high uniform power. Computational
Statistics and Data Analysis, 40, 435-445.
See Also
geary
Examples
set.seed(1234)
x = rnorm(1000)
geary(x)
bonett.test(x)