fs.mcfs: Monte Carlo Feature Selection

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

Monte Carlo Feature Selection

Description

Monte Carlo Feature Selection

Usage

fs.mcfs(x, y, params = list(cutoff.method = c("kmeans")))

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	A list with the following fields: cutoff.method – cutoff method MCFS: "permutations", "criticalAngle", "kmeans", "mean", "contrast"

Details

Performs Monte Carlo Feature Selection (MCFS) on a given data set.

Value

A data.frame with selected features

Examples

## Not run: 

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

fs.mcfs(data, decisions, ...)

## End(Not run)

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