cSkilMack: Computes a critical value for the Skillings-Mack SM...

Description Usage Arguments Details Value Note Author(s) Examples

View source: R/cSkilMack.R

Description

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

Usage

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cSkilMack(alpha, obs.mat, method = NA, n.mc = 10000)

Arguments

alpha

A numeric value between 0 and 1.

obs.mat

The incidence matrix, explained below.

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 incidence matrix, obs.mat, will be an n x k matrix of ones and zeroes, which indicate where the data are observed and unobserved, respectively.

Value

Returns a list with "NSM3Ch7c" class containing the following components:

k

number of treatments

n

number of blocks

ss

number of treatments per block

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")

Note

The syntax of this procedure differs from the others in the NSM3 package due to the fact that the distribution is calculated conditionally on the pattern of missingness. We therefore require obs.mat, the incidence matrix.

Author(s)

Grant Schneider

Examples

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##Hollander, Wolfe, Chicken Example 7.8 Effect of Rhythmicity of a Metronome on Speech Fluency
obs.mat<-matrix(c(rep(1,10),0,rep(1,13)),ncol=3,byrow=TRUE)
#cSkilMack(.01,obs.mat)
cSkilMack(.01,obs.mat,n.mc=5000)

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

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