Rita (version 1.2.0)

ADTest: Anderson-Darling Test

Description

This function computes the one-sample Anderson-Darling test statistic and p-value for fit to a normal distribution.

Usage

ADTest(data, alpha = 0.05, j = 1)

Arguments

data

Data of a univariate distribution for which the test statistic is computed (vector)

alpha

The two-sided decision threshold used for hypothesis-testing

j

The # hypotheses tested; used to compute a Bonferonni correction, if applicable; should remain at its default if multiple testing is not an issue (scalar)

Value

An object including the test statistic, p-value, and a significance flag (list)

Details

An adjusted statistic provided by D'agostino & Stephens (1986) is used, where the mean and variance of the population are treated as unknown. D'agostino & Stephen's (1986) text provides the equations used to obtain the function's p-values.

References

D'agostino, R. B., & Stephens, M. A. (1986). Goodness-of-fit-techniques (Vol. 68). CRC press.

Examples

# NOT RUN {
values <- rnorm(100)
x <- ADTest(data = values)
# }