MasterTest: Master Normality Testing Function

In Rita: Automated Transformations, Normality Testing, and Reporting

Master Normality Testing Function

Description

This is a master function to call the appropriate test(s) to be used in the 'Rita' function.

Usage

MasterTest(c, data, alpha = 0.05, j = 1)

Arguments

c	Input specifying the test to run (scalar)
data	The data of a univariate distribution for which the test statistic is computed (vector)
alpha	The two-sided decision threshold used for hypothesis-testing (scalar)
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 results object specific to the test designated with the 'c' argument (list)

Examples

values <- rnorm(100)
x <- MasterTest(c = 1, data = values)

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