filter_feature_selection: Perform selection by filter
In specmine: Metabolomics and Spectral Data Analysis and Mining

Description Usage Arguments Value Examples

Perform selection by filter using univariate filters, from caret's package.

1 2	filter_feature_selection(datamat, samples.class, functions = caret::rfSBF, method = "cv", repeats = 5)

`datamat`	data matrix from dataset.
`samples.class`	string or index indicating what metadata to use.
`functions`	a list of functions for model fitting, prediction and variable filtering.
`method`	the external resampling method: boot, cv, LOOCV or LGOCV (for repeated training/test splits.
`repeats`	for repeated k-fold cross-validation only: the number of complete sets of folds to compute.

A caret's sbf object with the result of selection by filter.

  ## Example of selection by filter
  library(caret)
  library(specmine.datasets)
  data(cachexia)
  rfe.result = filter_feature_selection(cachexia$data, 
	       cachexia$metadata$Muscle.loss, functions = caret::rfSBF, 
	       method = "cv")