Add handling effects to benchmark data

This function simulates handling effects by modifying the clean input data based on the differences between the benchmark and test data.

Usage

handling.effects(clean.input, benchmark, test, group, d)

Arguments

clean.input

Numeric matrix of clean input data, (p by n), where p is the number of features and n is the number of samples.

benchmark

Numeric matrix of benchmark data, (p by n), where p is the number of features and n is the number of samples.

test

Numeric matrix of test data, (p by n), where p is the number of features and n is the number of samples.

group

Factor or vector of character strings defining sample groups for each sample.

d

Numeric effect strength factor

Value

List containing modified data, group information, and effect size