# cSDCFlig: Computes a critical value for the Dwass, Steel,... In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

## Description

This function computes the critical value for the Dwass, Steel, Critchlow-Fligner W distribution at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.

## Usage

 `1` ```cSDCFlig(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. `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 "NSM3Ch6c" 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")

Grant Schneider

## Examples

 ```1 2 3 4 5 6 7 8``` ```##Hollander-Wolfe-Chicken Chapter 6 Comment 55 #cSDCFlig(.0331, c(3, 5, 7),n.mc=10000) cSDCFlig(.0331, c(3, 5, 7),n.mc=2500) ##Another example #cSDCFlig(alpha=0.05,n=rep(4,3),method="Exact") cSDCFlig(alpha=0.05,n=rep(4,3),method="Monte Carlo",n.mc=2500) #cSDCFlig(alpha=0.05,n=rep(4,3),method="Asymptotic") ```

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