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###########################################################################/**
# @RdocFunction rowMedians
# @alias colMedians
# \alias{rowMedians,matrix-method}
# \alias{colMedians,matrix-method}
#
# @title "Calculates the median for each row (column) in a matrix"
#
# \description{
# @get "title".
# }
#
# \usage{
# @usage rowMedians
# @usage colMedians
# }
#
# \arguments{
# \item{x}{A @numeric NxK @matrix.}
# \item{na.rm}{If @TRUE, @NAs are excluded first, otherwise not.}
# \item{...}{Not used.}
# }
#
# \value{
# Returns a @numeric @vector of length N (K).
# }
#
# \details{
# The implementation of \code{rowMedians()} and \code{colMedians()}
# is optimized for both speed and memory.
# To avoid coercing to @doubles (and hence memory allocation), there
# is a special implementation for @integer matrices.
# That is, if \code{x} is an @integer @matrix, then
# \code{rowMedians(as.double(x))} (\code{rowMedians(as.double(x))})
# would require three times the memory of \code{rowMedians(x)}
# (\code{colMedians(x)}), but all this is avoided.
# }
#
# @author "HB, HJ"
#
# \seealso{
# See @see "rowMedians" and \code{colMedians()} for weighted medians.
# For mean estimates, see \code{rowMeans()} in @see "base::colSums".
# }
#
# @keyword array
# @keyword iteration
# @keyword robust
# @keyword univar
#*/###########################################################################
setGeneric("rowMedians", function(x, na.rm=FALSE, ...) {
standardGeneric("rowMedians");
})
setMethod("rowMedians", signature(x="matrix"), function(x, na.rm=FALSE, ...) {
na.rm <- as.logical(na.rm);
hasNAs <- TRUE; # Add as an argument? /2007-08-24
.Call("rowMedians", x, na.rm, hasNAs, TRUE, PACKAGE="matrixStats");
})
setGeneric("colMedians", function(x, na.rm=FALSE, ...) {
standardGeneric("colMedians");
})
setMethod("colMedians", signature(x="matrix"), function(x, na.rm=FALSE, ...) {
na.rm <- as.logical(na.rm);
hasNAs <- TRUE; # Add as an argument? /2007-08-24
.Call("rowMedians", x, na.rm, hasNAs, FALSE, PACKAGE="matrixStats");
})
############################################################################
# HISTORY:
# 2011-10-13 [HJ]
# o In the past, colMedians(x) was accomplished as rowMedians(t(x));
# it is now done directly.
# 2008-03-25
# o Added colMedians() - a wrapper around rowMedians() for now.
# o Turned into a S4 method as it used to be in Biobase.
# 2007-08-14
# o Added argument 'hasNA'.
# 2005-11-25
# o Created.
############################################################################
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