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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colMeans2.R, R/rowMeans2.R
\name{colMeans2,DelayedMatrix-method}
\alias{colMeans2,DelayedMatrix-method}
\alias{colMeans2,Matrix-method}
\alias{colMeans2,SolidRleArraySeed-method}
\alias{rowMeans2,DelayedMatrix-method}
\alias{rowMeans2,Matrix-method}
\title{Calculates the mean for each row (column) of a matrix-like object}
\usage{
\S4method{colMeans2}{DelayedMatrix}(
x,
rows = NULL,
cols = NULL,
na.rm = FALSE,
force_block_processing = FALSE,
...,
useNames = TRUE
)
\S4method{colMeans2}{Matrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = TRUE)
\S4method{colMeans2}{SolidRleArraySeed}(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = TRUE)
\S4method{rowMeans2}{DelayedMatrix}(
x,
rows = NULL,
cols = NULL,
na.rm = FALSE,
force_block_processing = FALSE,
...,
useNames = TRUE
)
\S4method{rowMeans2}{Matrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, ..., useNames = TRUE)
}
\arguments{
\item{x}{A NxK \linkS4class{DelayedMatrix}.}
\item{rows, cols}{A \code{\link{vector}} indicating the subset of rows
(and/or columns) to operate over. If \code{\link{NULL}}, no subsetting is
done.}
\item{na.rm}{If \code{\link[base]{TRUE}}, missing values
(\code{\link[base]{NA}} or \code{\link[base]{NaN}}) are
omitted from the calculations.}
\item{force_block_processing}{\code{FALSE} (the default) means that a
seed-aware, optimised method is used (if available). This can be overridden
to use the general block-processing strategy by setting this to \code{TRUE}
(typically not advised). The block-processing strategy loads one or more
(depending on \verb{\link[DelayedArray]\{getAutoBlockSize\}()}) columns (\code{colFoo()})
or rows (\code{rowFoo()}) into memory as an ordinary \link[base:array]{base::array}.}
\item{...}{Additional arguments passed to specific methods.}
\item{useNames}{If \code{\link{TRUE}} (default), names attributes of result are set. Else if \code{\link{FALSE}}, no naming support is done.}
}
\value{
Returns a \code{\link{numeric}} \code{\link{vector}} of length N (K).
}
\description{
Calculates the mean for each row (column) of a matrix-like object.
}
\details{
The S4 methods for \code{x} of type \code{\link{matrix}},
\code{\link{array}}, \code{\link{table}}, or \code{\link{numeric}} call
\code{matrixStats::\link[matrixStats]{rowMeans2}} /
\code{matrixStats::\link[matrixStats]{colMeans2}}.
}
\examples{
# A DelayedMatrix with a 'matrix' seed
dm_matrix <- DelayedArray(matrix(c(rep(1L, 5),
as.integer((0:4) ^ 2),
seq(-5L, -1L, 1L)),
ncol = 3))
# A DelayedMatrix with a 'SolidRleArraySeed' seed
dm_Rle <- RleArray(Rle(c(rep(1L, 5),
as.integer((0:4) ^ 2),
seq(-5L, -1L, 1L))),
dim = c(5, 3))
colMeans2(dm_matrix)
# NOTE: Temporarily use verbose output to demonstrate which method is
# which method is being used
options(DelayedMatrixStats.verbose = TRUE)
# By default, this uses a seed-aware method for a DelayedMatrix with a
# 'SolidRleArraySeed' seed
rowMeans2(dm_Rle)
# Alternatively, can use the block-processing strategy
rowMeans2(dm_Rle, force_block_processing = TRUE)
options(DelayedMatrixStats.verbose = FALSE)
}
\seealso{
\itemize{
\item \code{matrixStats::\link[matrixStats]{rowMeans2}()} and
\code{matrixStats::\link[matrixStats:rowMeans2]{colMeans2}()} which are
used when the input is a \code{matrix} or \code{numeric} vector.
\item See also \code{\link[base:colSums]{rowMeans}()} for the
corresponding function in base R.
\item For variance estimates, see \code{\link[MatrixGenerics]{rowVars}()}.
\item See also the base R version \code{base::\link[MatrixGenerics]{rowMeans}()}.
}
}
\author{
Peter Hickey
}
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