cNDWol: Function to compute a critical value for the Nemenyi,...

In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

Function to compute a critical value for the Nemenyi, Damico-Wolfe Y distribution.

Description

This function computes the critical value for the Nemenyi, Damico-Wolfe Y distribution at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.

Usage

cNDWol(alpha,n, method=NA, n.mc=10000)

Arguments

alpha	A numeric value between 0 and 1.
n	A vector of numeric values indicating the size of each of the k data groups, with the first element indicating the treatment group size.
method	Either "Exact", "Monte Carlo" or "Asymptotic", indicating the desired distribution. When method=NA, "Exact" will be used if the number of permutations is 10,000 or less. Otherwise, "Monte Carlo" will be used.
n.mc	If method="Monte Carlo", the number of Monte Carlo samples used to estimate the distribution. Otherwise, not used.

Value

Returns a list with "NSM3Ch6MCc" class containing the following components:

n	number of observations in the k data groups
cutoff.U	upper tail cutoff at or below user-specified alpha
true.alpha.U	true alpha level corresponding to cutoff.U (if method="Exact" or "Monte Carlo")

Author(s)

Grant Schneider

Examples

##Hollander-Wolfe-Chicken Example 6.8 Motivational Effect of Knowledge of Performance
cNDWol(.0554, c(6, 6, 6),"Monte Carlo")
cNDWol(.0554, c(6, 6, 6),"Monte Carlo",n.mc=25000)
cNDWol(.0371, c(6, 6, 6),"Monte Carlo")

NSM3 documentation built on Nov. 4, 2024, 5:08 p.m.