cNWWM: Computes a critical value for the Nemenyi, Wilcoxon-Wilcox,...

Description Usage Arguments Value Author(s) Examples

View source: R/cNWWM.R

Description

This function computes the critical value for the Nemenyi, Wilcoxon-Wilcox, Miller R* distribution at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.

Usage

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cNWWM(alpha, k, n, method=NA, n.mc=10000)

Arguments

alpha

A numeric value between 0 and 1.

k

A numeric value indicating the number of treatments.

n

A numeric value indicating the number of blocks.

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 "NSM3Ch7c" class containing the following components:

k

number of treatments

n

number of blocks

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

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##Hollander-Wolfe-Chicken Example 7.4 Stuttering Adaptation
#cNWWM(.0492, 3, 18, "Monte Carlo") 
cNWWM(.0492, 3, 18, method="Monte Carlo",n.mc=2500) 
##Comment 7.35
cNWWM(.0093, 3, 3, "Exact")
#cNWWM(.0093, 3, 3, "Monte Carlo")

NSM3 documentation built on April 6, 2021, 5:05 p.m.

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