% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R, R/methods_row.R
\name{colVarDiffs,dgCMatrix-method}
\alias{colVarDiffs,dgCMatrix-method}
\alias{rowVarDiffs,dgCMatrix-method}
\title{Calculates the variance of the difference between each element of a row
(column) of a matrix-like object}
\usage{
\S4method{colVarDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)

\S4method{rowVarDiffs}{dgCMatrix}(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0)
}
\arguments{
\item{x}{An NxK matrix-like object.}

\item{rows}{A \code{\link{vector}} indicating the subset of rows
(and/or columns) to operate over. If \code{\link{NULL}}, no subsetting is
done.}

\item{cols}{A \code{\link{vector}} indicating the subset of rows
(and/or columns) to operate over. If \code{\link{NULL}}, no subsetting is
done.}

are excluded first, otherwise not.}

\item{diff}{An integer specifying the order of difference.}

\item{trim}{A double in [0,1/2] specifying the fraction of observations to
be trimmed from each end of (sorted) x before estimation.}
}
\value{
Returns a \code{\link{numeric}} \code{\link{vector}} of length N (K).
}
\description{
Calculates the variance of the difference between each element of a row
(column) of a matrix-like object.
}
\details{
The S4 methods for \code{x} of type \code{\link{matrix}},
\code{matrixStats::rowVarDiffs}
/ \code{matrixStats::colVarDiffs}.
}
\examples{
mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
mat[2, 1] <- NA
mat[3, 3] <- Inf
mat[4, 1] <- 0

print(mat)

rowVarDiffs(mat)
colVarDiffs(mat)
}
\seealso{
\itemize{
are used when the input is a \code{matrix} or \code{numeric} vector.
\item for the direct variance see \code{\link[MatrixGenerics:rowVars]{rowVars()}}.
}
}