feature.selection.cv: Selection of features in cross-validation

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

Selection of features in cross-validation

Description

Selection of features in cross-validation

Usage

feature.selection.cv(
  x,
  y,
  method,
  list.index.cross,
  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
method	the name of the selection method for traits available in this library
list.index.cross	A list with indexes obtained in cross-validation
params	A list parameters required for this method of feature selection

Details

Uses the methods of selection of features available in this library

Value

A list with selected features for each iteration of cross-validation

Examples

## Not run: 

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

list.index.cross <- cross.val(x = data,
                              y = class,
                              method= 'kfoldcv',
                              params.cv = list(k = 3, niter = 10))

list.selected.var <- feature.selection.cv(x = data,
                             y = class,
                             method = 'fs.utest',
                             list.index.cross = list.index.cross,
                             params = list(adjust = 'holm', alpha = 0.05))


## End(Not run)

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