`bonett.test(x, alternative = c("two.sided", "less", "greater"))`

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.

- A list with class
- 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.

`htest`

containing the following components:`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.
Bonett, D.G., Seier, E. (2002) A test of normality with high uniform power. Computational Statistics and Data Analysis, 40, 435-445.

`geary`

set.seed(1234) x = rnorm(1000) geary(x) bonett.test(x)