agostino.test

0th

Percentile

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 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.

References

D'Agostino, R.B. (1970). Transformation to Normality of the Null Distribution of G1. Biometrika, 57, 3, 679-681.

See Also

skewness

Aliases
  • agostino.test
Examples
set.seed(1234)
x = rnorm(1000)
skewness(x)
agostino.test(x)
Documentation reproduced from package moments, version 0.14, License: GPL (>= 2)

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