NSM3 (version 1.18)

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:

k

number of treatments (including the control)

n

number of blocks

obs.stat

the observed R* statistic for each treatment vs. control comparison

p.val

upper tail P-value corresponding to each of the k-1 observed R* statistics

Arguments

x

Either a matrix or a vector containing the data, with control assumed to be the first group.

b

If x is a vector, b is a required vector of block labels. Otherwise, not used.

trt

If x is a vector, trt is a required vector of treatment labels. Otherwise, not used.

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.

Author

Grant Schneider

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)