R: Utility function to trinarize a matrix of measurements

trinarizeMatrix {Binarize}

R Documentation

Utility function to trinarize a matrix of measurements

Description

Trinarizes a matrix of measurements all at once, and returns the trinarized vectors as well as the trinarization thresholds and the p-values.

Usage

trinarizeMatrix(mat, 
               method = c("TASCA", "TASCB"), 
               adjustment = "none", 
               ...)

Arguments

`mat`	A n x m matrix comprising m raw measurements of n features.
`method`	The trinarization algorithm to be used. `method="TASCA"` calls `TASC` with `method="A"`. `method="TASCB"` calls `TASC` with `method="B"`.
`adjustment`	Specifies an optional adjustment for multiple testing that is applied to the p-values (see `p.adjust` for possible values). By default, no adjustment is applied.
`...`	Further parameters that are passed to the respective trinarization methods (`TASC`).

Value

A n x (m+3) matrix of trinarized measurements. Here, the first m columns correspond to the trinarized measurements. The m+1-st and the m+2-st column comprises the trinarization thresholds for the features, and the m+3-nd column contains the p-values.

Examples

tri <- trinarizeMatrix(t(iris[,1:4]))
print(tri)