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

In pavhrablis/benchmarkFS: What the Package Does (One Line, Title Case)

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) or SGoF SGoF

Details

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

Value

A data.frame with selected features and p.value

Examples

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

fs.utest(data, decisions, params = list(adjust = 'SGoF'))

pavhrablis/benchmarkFS documentation built on Feb. 5, 2021, 12:47 a.m.