HEMDAG (version 2.1.3)

scores.normalization: Scores Normalization Function

Description

Functions to normalize a flat scores 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. Library preprocessCore is used.

S

a named flat scores matrix with examples on rows and classes on columns

Value

the matrix of the scores flat normalized w.r.t. MaxNorm or Qnorm

Details

To apply the quantile normalization the preprocessCore library is uded.

Examples

# NOT RUN {
data(scores);
norm.types <- c("MaxNorm","Qnorm");
for(norm.type in norm.types){
	scores.normalization(norm.type=norm.type, S=S)
}
# }