fs.utest: Test U Manna-Whitneya (U-test) for feature selection

In biocsuwb/EnsembleFS-package: Ensemble feature selection methods for analysis of molecular data

Test U Manna-Whitneya (U-test) for feature selection

Description

Test U Manna-Whitneya (U-test) for feature selection

Usage

fs.utest(x, y, params = list(adjust = "holm", alpha = 0.05))

Arguments

x	input data where columns are variables and rows are observations (all numeric)
y	decision variable as a boolean vector of length equal to number of observations
params	method as accepted by p.adjust ("BY" is recommended for FDR, see Details)

Details

In case of FDR control it is recommended to use Benjamini-Hochberg-Yekutieli p-value adjustment

Value

A data.frame with selected features and p.value

Examples

## Not run: 

decisions <- data$class
data$class <- NULL

fs.utest(data, decisions, params = list(adjust = 'holm', alpha = 0.05))

## End(Not run)

biocsuwb/EnsembleFS-package documentation built on Dec. 9, 2024, 5:32 p.m.