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# Argument:
# matrix of ranks, possibly with missing values
# Return value:
# ranksums - if x contains no missing values, NULL
# OR if x does contain missing values, a list containing:
# the column sums of all complete rows ("B" rows)
# Arows - the index of the row with the smallest number of missing values OR
# a matrix of the permutations of the row indices of the rows with the
# smallest number of missing values
# nArows - the number of permutations of the Arows
getLWargs<-function(x) {
dimx<-dim(x)
# get the default "no Brows" ranksums here
ranksums<-rep(1,dimx[2])
matholes<-is.na(x)
if(sum(matholes)) {
rowholes<-rowSums(matholes)
# get the Brow indices
Brows<-which(rowholes == 0)
if(length(Brows) > 1) ranksums<-colSums(x[Brows,])
if(length(Brows) == 1) ranksums<-x[Brows,]
# row(s) with smallest number of NAs
minholes<-min(rowholes[rowholes > 0])
# indices of above
Arows<-which(rowholes == minholes)
# if it's not a single number
if(length(Arows) > 1) {
nArows<-gamma(length(Arows)+1)
# it's a matrix of permutations
Arows<-permute(Arows)
}
else nArows<-1
}
# if no NAs, there's nothing to do
else return(NULL)
return(list(ranksums=ranksums,Arows=Arows,nArows=nArows,Brows=Brows))
}
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