# colIQRDiffs-dgCMatrix-method: Calculates the interquartile range of the difference between... In sparseMatrixStats: Summary Statistics for Rows and Columns of Sparse Matrices

## Description

Calculates the interquartile range of the difference between each element of a row (column) of a matrix-like object.

## Usage

 ```1 2 3 4 5``` ```## S4 method for signature 'dgCMatrix' colIQRDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0) ## S4 method for signature 'dgCMatrix' rowIQRDiffs(x, rows = NULL, cols = NULL, na.rm = FALSE, diff = 1L, trim = 0) ```

## Arguments

 `x` An NxK matrix-like object. `rows` A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done. `cols` A `vector` indicating the subset of rows (and/or columns) to operate over. If `NULL`, no subsetting is done. `na.rm` If `TRUE`, `NA`s are excluded first, otherwise not. `diff` An integer specifying the order of difference. `trim` A double in [0,1/2] specifying the fraction of observations to be trimmed from each end of (sorted) x before estimation.

## Details

The S4 methods for `x` of type `matrix`, `array`, or `numeric` call `matrixStats::rowIQRDiffs` / `matrixStats::colIQRDiffs`.

## Value

Returns a `numeric` `vector` of length N (K).

• `matrixStats::rowIQRDiffs()` and `matrixStats::colIQRDiffs()` which are used when the input is a `matrix` or `numeric` vector.
 ```1 2 3 4 5 6 7 8 9``` ```mat <- matrix(rnorm(15), nrow = 5, ncol = 3) mat[2, 1] <- NA mat[3, 3] <- Inf mat[4, 1] <- 0 print(mat) rowIQRDiffs(mat) colIQRDiffs(mat) ```