| agostino.test {moments} | R Documentation |
D'Agostino test of skewness
Description
Performs D'Agostino test for skewness in normally distributed data.
Usage
agostino.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 be symmetrical (i.e. skewness should be equal to zero). This test has such null hypothesis and is useful to detect a significant skewness in normally distributed data.
Value
A list with class htest containing the following components:
statistic |
the list containing skewness 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
D'Agostino, R.B. (1970). Transformation to Normality of the Null Distribution of G1. Biometrika, 57, 3, 679-681.
See Also
Examples
set.seed(1234)
x = rnorm(1000)
skewness(x)
agostino.test(x)