colQuantileC: Fast colunm- and row-wise quantile of a matrix.

In WGCNA: Weighted Correlation Network Analysis

Fast colunm- and row-wise quantile of a matrix.

Description

Fast calculation of column- and row-wise quantiles of a matrix at a single probability. Implemented via compiled code, it is much faster than the equivalent apply(data, 2, quantile, prob = p).

Usage

colQuantileC(data, p)
rowQuantileC(data, p)

Arguments

data	a numerical matrix column-wise quantiles are desired. Missing values are removed.
p	a single probability at which the quantile is to be calculated.

Details

At present, only one quantile type is implemented, namely the default type 7 used by R.

Value

A vector of length equal the number of columns (for colQuantileC) or rows (for rowQuantileC) in data containing the column- or row-wise quantiles.

Author(s)

Peter Langfelder

See Also

quantile; pquantile for another way of calculating quantiles across structured data.

WGCNA documentation built on Sept. 18, 2024, 5:08 p.m.