% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/methods.R, R/methods_row.R
\name{colMadDiffs,dgCMatrix-method}
\alias{colMadDiffs,dgCMatrix-method}
\alias{rowMadDiffs,dgCMatrix-method}
\title{Calculates the mean absolute deviation of the difference between each
element of a row (column) of a matrix-like object}
\usage{
\S4method{colMadDiffs}{dgCMatrix}(
  x,
  rows = NULL,
  cols = NULL,
  na.rm = FALSE,
  diff = 1L,
  trim = 0,
  constant = 1.4826
)

\S4method{rowMadDiffs}{dgCMatrix}(
  x,
  rows = NULL,
  cols = NULL,
  na.rm = FALSE,
  diff = 1L,
  trim = 0,
  constant = 1.4826
)
}
\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.}

\item{na.rm}{If \code{\link[base:logical]{TRUE}}, \code{\link{NA}}s
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.}

\item{constant}{A scale factor. See \code{\link{mad}} for details.}
}
\value{
Returns a \code{\link{numeric}} \code{\link{vector}} of length N (K).
}
\description{
Calculates the mean absolute deviation 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{\link{array}}, or \code{\link{numeric}} call
\code{matrixStats::rowMadDiffs}
/ \code{matrixStats::colMadDiffs}.
}
\examples{
mat <- matrix(rnorm(15), nrow = 5, ncol = 3)
  mat[2, 1] <- NA
  mat[3, 3] <- Inf
  mat[4, 1] <- 0
  
  print(mat)
  
  rowMadDiffs(mat)
  colMadDiffs(mat)
}
\seealso{
\itemize{
\item \code{matrixStats::\link[matrixStats:varDiff]{rowMadDiffs}()} and
\code{matrixStats::\link[matrixStats:varDiff]{colMadDiffs}()} which
are used when the input is a \code{matrix} or \code{numeric} vector.
}
}