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# row.stats.by.group: Function uses stat.by.group function to compute stats for each row of the
# expression and lesion data matrices and return a data.frame of expression level by lesion groups for
# each specified test
row.stats.by.group=function(X, # expression data
G, # lesion data
stat, # stats to be computed
...)
{
if (any(dim(X)!=dim(G)))
stop("X and G are of incompatible dimensions. X and G must have the same dimensions.")
if (any(colnames(X)!=colnames(G)))
stop("X and G must have column names matched.")
all.grps=sort(unique(G))
all.grps=sort(unique(all.grps))
k=length(all.grps)
m=nrow(X)
res=matrix(NA,m,k)
colnames(res)=all.grps
rownames(res)=rownames(X)
for (i in 1:m)
{
res[i,]=stat.by.group(X[i,],G[i,],stat,all.grps,...)
}
return(res)
}
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