colQuantileC: Fast colunm- and row-wise quantile of a matrix.
In nosarcasm/WGCNA: Weighted Correlation Network Analysis

Description Usage Arguments Details Value Author(s) See Also

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).

1 2	colQuantileC(data, p) rowQuantileC(data, p)

`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.

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

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

Peter Langfelder

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

nosarcasm/WGCNA documentation built on May 28, 2019, 1:01 p.m.