Nothing
cWNMT<-function(alpha, k, n, method=NA, n.mc=10000){
outp<-list()
outp$stat.name<-"Wilcoxon, Nemenyi, McDonald-Thompson R"
outp$n.mc<-n.mc
if(alpha>1||alpha<0||!is.numeric(alpha)){
cat('Error: Check alpha value! \n')
return(alpha)
}
outp$alpha<-alpha
outp$n<-n
outp$k<-k
outp$n.mc<-n.mc
##When the user doesn't give us any indication of which method to use, try to pick one.
if(is.na(method)){
if(outp$k*factorial(outp$k)^outp$n<=10000){
method<-"Exact"
}
if(outp$k*factorial(outp$k)^outp$n>10000){
method<-"Monte Carlo"
}
}
#####################################################################
outp$method<-method
R.calc<-function(two.dim.mat,u,v){
row.ranks<-t(apply(two.dim.mat,1,rank))
return(abs(colSums(row.ranks)[u]-colSums(row.ranks)[v]))
}
R.all<-function(two.dim.mat){
row.ranks<-t(apply(two.dim.mat,1,rank))
return(max(colSums(row.ranks))-min(colSums(row.ranks)))
}
outp$num.comp<-num.comp<-outp$k*(outp$k-1)/2
possible.ranks<-matrix(rep(1:outp$k,outp$n),ncol=outp$k,byrow=T)
if(outp$method=="Exact"){
possible.perm<-multCh7(possible.ranks)
exact.dist<-numeric(factorial(outp$k)^outp$n)
for(i in 1:factorial(outp$k)^outp$n){
exact.dist[i]<-R.all(possible.perm[,,i])
}
R.vals<-sort(unique(exact.dist))
R.probs<-as.numeric(table(exact.dist))/(factorial(outp$k)^outp$n)
R.dist<-cbind(R.vals,R.probs)
upper.tails<-cbind(rev(R.dist[,1]),cumsum(rev(R.dist[,2])))
outp$cutoff.U<-upper.tails[max(which(upper.tails[,2]<=alpha)),1]
outp$true.alpha.U<-upper.tails[max(which(upper.tails[,2]<=alpha)),2]
}
if(outp$method=="Monte Carlo"){
mc.perm<-matrix(ncol=outp$k,nrow=outp$n)
mc.stats<-numeric(n.mc)
for(i in 1:n.mc){
for(j in 1:n){
mc.perm[j,]<-sample(possible.ranks[j,])
}
mc.stats[i]<-R.all(mc.perm)
}
mc.vals<-sort(unique(mc.stats))
mc.dist<-as.numeric(table(mc.stats))/n.mc
upper.tails<-cbind(rev(mc.vals),cumsum(rev(mc.dist)))
outp$cutoff.U<-upper.tails[max(which(upper.tails[,2]<=alpha)),1]
outp$true.alpha.U<-upper.tails[max(which(upper.tails[,2]<=alpha)),2]
}
if(outp$method=="Asymptotic"){
outp$cutoff.U<-cRangeNor(alpha,outp$k)*(outp$n*outp$k*(outp$k+1)/12)^(1/2)
}
class(outp)<-"NSM3Ch7c"
outp
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.