cHaySton: Computes a critical value for the Hayter-Stone W*...

Description Usage Arguments Details Value Author(s) Examples

View source: R/cHaySton.R

Description

This function computes the critical value for the Hayter-Stone W* distriburion at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.

Usage

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

Arguments

alpha

A numeric value between 0 and 1.

n

A vector (of length 2 or greater) indicating the sizes of the data groups.

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.

Details

The Asymptotic distribution requires that all group sizes are equal. If method="Asymptotic" and there are different group sizes in n, method="Monte Carlo" will be used.

Value

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

n

data group sizes

num.comp

number of multiple comparisons to be made (based on the length of n)

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 6.7 Motivational Effect of Knowledge of Performance:
#cHaySton(.0553,rep(6,3),"Monte Carlo")
cHaySton(.05,c(6,6,6),"Asymptotic")

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

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