Nothing
Xmc.sevsample <-
function(group.data, pi0){
if(missing(group.data) || missing(pi0))
stop("group.data and/or pi0 missing.")
# Check every data set has the same number of taxa
taxaCounts <- sapply(group.data, ncol)
numTaxa <- length(pi0)
if(any(taxaCounts != numTaxa))
stop("Every data set must have matching taxa, including pi0")
numGroups <- length(group.data)
# Get the parameters for every group
groupParameter <- lapply(group.data, function(x){
# Calc pi, theta and the number of reads
numReadsSubs <- rowSums(x)
pi.MoM <- colSums(x)/sum(x)
theta.MoM <- weirMoM(x, pi.MoM)$theta
return(list(pi=pi.MoM, theta=theta.MoM, nrs=numReadsSubs))
})
# Get Xmc and calculate pvalue
Xmc <- Xmc.statistics(groupParameter, pi0)
pval <- 1-pchisq(q=Xmc, df=numGroups*(numTaxa-1), ncp=0, lower.tail=TRUE)
sevRAD.mean.test <- list("Xmc statistics"=Xmc, "p value"=pval)
return(sevRAD.mean.test)
}
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