########################################################################
# function to calculate pairwise p-values between groups
pair.pMCMC <- function(x){
x <- as.data.frame(x)
pMCMC <- matrix(ncol=ncol(x), nrow=ncol(x))
for(j in 1:ncol(x)){
x1 <- x[,j]
x2 <- x[,-j, drop=F]
p <- numeric(ncol(x2))
for(k in 1:ncol(x2)){
d <- x1 - x2[,k]
if(mean(d)>0){.cond <- d<=0}
if(mean(d)<0){.cond <- d>=0}
p[k] <- sum(.cond)/length(d)
}
if(j==1){
p <- c(NA, p)
}else{
if(j==ncol(x)){
p <- c(p, NA)
}else{
p <- c(p[1:{j-1}], NA, p[j:length(p)])
}
}
pMCMC[,j] <- p
}
colnames(pMCMC) <- names(x)
rownames(pMCMC) <- names(x)
return(pMCMC)
}
########################################################################
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