NSM3 (version 1.1)

pNWWM: Nemenyi, Wilcoxon-Wilcox, Miller

Description

Function to compute the P-value for the observed Nemenyi, Wilcoxon-Wilcox, Miller R* statistic.

Usage

pNWWM(x,b=NA,trt=NA,method=NA, n.mc=10000)

Value

Returns a list with "NSM3Ch7MCp" class containing the following components:knumber of treatments (including the control)nnumber of blocksobs.statthe observed R* statistic for each treatment vs. control comparisonp.valupper tail P-value corresponding to each of the k-1 observed R* statistics

Details

The data entry is intended to be flexible, so that the data can be entered in either of two ways. The following are equivalent: pNWWM(x=matrix(c(1,2,3,4,5,6),ncol=2,byrow=T)) pNWWM(x=c(1,2,3,4,5,6),b=c(1,1,2,2,3,3),trt=c(1,2,1,2,1,2))

Examples

##Hollander-Wolfe-Chicken Example 7.4 Stuttering Adaptation
adaptation.scores<-matrix(c(57,59,44,51,43,49,48,56,44,50,44,50,70,42,58,54,38,48,38,48,50,53,53,
56,37,58,44,50,58,48,60,58,60,38,48,56,51,56,44,44,50,54,50,40,50,50,56,46,74,57,74,48,48,44),
ncol=3,dimnames = list(1 : 18,c("No Shock", "Shock Following", "Shock During")))

#pNWWM(adaptation.scores)
pNWWM(adaptation.scores,n.mc=2500)