filter_feature_selection: Feature Selection Using Univariate Filters

In specmine: Metabolomics and Spectral Data Analysis and Mining

Feature Selection Using Univariate Filters

Description

Performs feature selection using univariate filters.

Usage

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

Arguments

datamat	Data matrix with features in rows and samples in columns.
samples.class	Sample class labels.
functions	Caret SBF functions list.
method	Resampling method passed to caret::sbfControl().
repeats	Number of repeats for resampling.

Value

An sbf object.

Examples

datamat <- matrix(
  rnorm(20),
  nrow = 4,
  dimnames = list(paste0("x", 1:4), paste0("s", 1:5))
)
classes <- factor(c("A", "A", "B", "B", "A"))
filter_feature_selection(datamat, classes, caret::rfSBF)

specmine documentation built on Aug. 5, 2026, 5:06 p.m.