| DPTest {Rita} | R Documentation |
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)