Nothing
"norm1d" <-
function(logratio,logintensity,span=0.6,quant=0.99,dye.swap=FALSE)
{
n<-nrow(logratio)
d<-ncol(logratio)
if(d<2||is.null(d)){stop("Single not multiple replicate data entered")}
ifelse(!(dye.swap),lRnorm<-norm1c(logratio,logintensity,span),lRnorm<-apply(logratio,1,mean))
sd<-sqrt(apply(logratio,1,var)/d)
k<-quantile(sd[sd<=abs(lRnorm)],quant)
sdnew<-sd
change<-c(1:n)[sd<=abs(lRnorm)]
for(i in change)
{
sdnew[i]<-k
}
lRnorm/sdnew
}
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