# Split the data according to group
splitIntoGroups <- function(y, ...)
UseMethod("splitIntoGroups")
splitIntoGroups.DGEList <- function(y, ...)
# Yunshun Chen. Created 18 March 2016.
{
group <- y$samples$group
splitIntoGroups(y$counts, group=group)
}
splitIntoGroups.default <- function(y, group=NULL, ...)
# Written by Davis McCarthy, February 2009, idea suggested by Mark Robinson
# Last modified 2 Jun 2020.
{
# Check y
y <- as.matrix(y)
ntags <- nrow(y)
nlibs <- ncol(y)
# Check group
if(is.null(group)) group <- rep_len(1L, nlibs)
if(length(group)!=nlibs) stop("Incorrect length of group.")
group <- dropEmptyLevels(group)
out <- lapply(split(t(y), group), FUN=function(u) matrix(u, nrow=ntags, byrow=TRUE))
out
}
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