agostino.test
From moments v0.14
by Lukasz Komsta
D'Agostino test of skewness
Performs D'Agostino test for skewness in normally distributed data.
- Keywords
- htest
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
- 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.
htest containing the following components: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)
Community examples
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