normal_hda2 <-
function(Dmat, Nmodel, new.cnames = "Norm") {
alpha <- function(Da, N) {
Da2 <- ifelse(N[,1] <= Da, Da, N[,1])
Da2 <- ifelse(Da2 <= N[,2], Da2, N[,2])
if(dim(as.matrix(Nmodel))[2] == 1){
Da2 <- as.matrix(Da2)
rownames(Da2) <- rownames(N)
}
return(Da2)}
if(dim(as.matrix(Nmodel))[2] == 1){
N <- cbind(as.data.frame(Nmodel), as.data.frame(Nmodel))
rownames(N) <- names(Nmodel)
}
else{
options(warn=-1)
Nmodel[Nmodel == 0] <- NA
min <- apply(Nmodel, 1, min, na.rm = TRUE)
max <- apply(Nmodel, 1, max, na.rm = TRUE)
min[min == Inf] <- 0
max[max == -Inf] <- 0
options(warn=0)
N <- cbind(min,max)}
mat <- alpha(as.matrix(Dmat), N);
colnames(mat) <- new.cnames;
return(mat)
}
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