scores.normalization: Scores normalization function

In AnacletoLAB/HEMDAG: Hierarchical Ensemble Methods for Directed Acyclic Graphs

Scores normalization function

Description

Normalize a score matrix w.r.t. max normalization (maxnorm) or quantile normalization (qnorm)

Usage

scores.normalization(norm.type = "maxnorm", S)

Arguments

norm.type	can be one of the following two values: maxnorm (def.): each score is divided w.r.t. the max of each class; qnorm: a quantile normalization is applied. Package preprocessCore is used;
S	A named flat score matrix with examples on rows and classes on columns.

Details

To apply the quantile normalization the preprocessCore package must be properly installed.

Value

The matrix of the scores flat normalized w.r.t. maxnorm or qnorm.

Examples

data(scores);
norm.types <- c("maxnorm","qnorm");
for(norm.type in norm.types){
    scores.normalization(norm.type=norm.type, S=S);
}

AnacletoLAB/HEMDAG documentation built on Oct. 14, 2022, 9:18 p.m.