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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/colCounts.R, R/rowCounts.R
\name{colCounts,DelayedMatrix-method}
\alias{colCounts,DelayedMatrix-method}
\alias{rowCounts,DelayedMatrix-method}
\title{Count how often an element in a row (column) of a matrix-like object is
equal to a value}
\usage{
\S4method{colCounts}{DelayedMatrix}(
x,
rows = NULL,
cols = NULL,
value = TRUE,
na.rm = FALSE,
force_block_processing = FALSE,
...,
useNames = TRUE
)
\S4method{rowCounts}{DelayedMatrix}(
x,
rows = NULL,
cols = NULL,
value = TRUE,
na.rm = FALSE,
force_block_processing = 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{value}{The value to search for.}
\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{integer}} \code{\link{vector}} of length N (K).
}
\description{
Count how often an element in a row (column) of a matrix-like object is
equal to a value.
}
\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]{rowCounts}} /
\code{matrixStats::\link[matrixStats]{colCounts}}.
}
\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 'DataFrame' seed
dm_DF <- DelayedArray(S4Vectors::DataFrame(C1 = rep(1L, 5),
C2 = as.integer((0:4) ^ 2),
C3 = seq(-5L, -1L, 1L)))
colCounts(dm_matrix, value = 1)
# Only count those in the first 4 rows
colCounts(dm_matrix, rows = 1:4, value = 1)
rowCounts(dm_DF, value = 5)
# Only count those in the odd-numbered rows of the 2nd column
rowCounts(dm_DF, rows = seq(1, nrow(dm_DF), 2), cols = 2, value = 5)
}
\seealso{
\itemize{
\item \code{matrixStats::\link[matrixStats]{rowCounts}()} and
\code{matrixStats::\link[matrixStats:rowCounts]{colCounts}()} which are
used when the input is a \code{matrix} or \code{numeric} vector.
\item For checks if any element is equal to a value, see
\code{\link[MatrixGenerics]{rowAnys}()}. To check if all elements are equal, see
\code{\link[MatrixGenerics]{rowAlls}()}.
}
}
\author{
Peter Hickey
}
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