select_features.catscore: Perform feature selection using the CATSCORE method

In bbuchsbaum/rMVPA: Multivoxel Pattern Analysis in R

Perform feature selection using the CATSCORE method

Description

This function selects features from the input data matrix X using the CATSCORE method and the provided feature selection specification.

Usage

## S3 method for class 'catscore'
select_features(obj, X, Y, ranking.score = c("entropy", "avg", "max"), ...)

Arguments

obj	The feature selection specification created by feature_selector().
X	The input data matrix.
Y	The response variable.
ranking.score	The feature score to use. Supported scores are "entropy", "avg", or "max". Default is "entropy".

Details

The CATSCORE method computes a correlation adjusted t-test for every column in the matrix using sda.ranking from the sda package.

Value

A logical vector indicating which features to retain.

See Also

feature_selector for creating a feature selection specification.

Examples

fsel <- feature_selector("catscore", "top_k", 1000)
X <- as.data.frame(matrix(rnorm(100 * 10), 100, 10))
Y <- rep(letters[1:5], 20)
selected_features <- select_features(fsel, X, Y, ranking.score = "entropy")

bbuchsbaum/rMVPA documentation built on April 28, 2024, 6:30 a.m.