BiTrinA (version 1.3.2)

trinarizeMatrix: 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","kMeans"), 
               adjustment = "none", 
               ...)

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.

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". method="kMeans" calls trinarize.kMeans.

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, trinarize.kMeans).

See Also

TASC, trinarize.kMeans, p.adjust

Examples

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