fs.mdfs.1D: Build MultiDimensional Feature Selector from IGs

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

Description

Build MultiDimensional Feature Selector from IGs

Usage

fs.mdfs.1D(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

Build MultiDimensional Feature Selector from IGs

Value

A data.frame with selected features and p.value

decisions <- data$class data$class <- NULL fs.mdfs.1D(data, decisions, params = list(adjust = 'SGoF', alpha = 0.05))

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