DPTest: D'agostino Pearson Omnibus Test

In Rita: Automated Transformations, Normality Testing, and Reporting

D'agostino Pearson Omnibus Test

Description

This function computes the D'agostino Pearson omnibus test using adjusted Fisher- Pearson skewness and kurtosis estimators.

Usage

DPTest(data, alpha = 0.05, j = 1, warn = T)

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)
warn	Used for printing a warning message when testing is terminated for N < 8 (boolean)

Value

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

References

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

D’agostino, R. B., & Belanger, A. (1990). A Suggestion for Using Powerful and Informative Tests of Normality. The American Statistician, 44(4), 316–321. https://doi.org/10.2307/2684359

Shreve, Joni N. and Donna Dea Holland . 2018. SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9. Cary, NC: SAS Institute Inc.

Examples

values <- rnorm(100)
x <- DPTest(data = values)

Rita documentation built on March 18, 2022, 6:36 p.m.