ignore.redundant {FeaLect}

Refines a feature matrix

Description

If the value a feature is the same for all points (e.g. =0), it can be ignored.

Usage

ignore.redundant(F, num.of.values = 1)

Arguments

F

The feature matrix, each column is a feature.

num.of.values

A feature should have more than this threshold non-zero values not to be ignored.

Value

The refined feature matrix.

Author(s)

Habil Zare

References

"Statistical Analysis of Overfitting Features", manuscript in preparation.

See Also

FeaLect, train.doctor, doctor.validate, random.subset, compute.balanced,compute.logistic.score, ignore.redundant, input.check.FeaLect

Examples

library(FeaLect)
data(mcl_sll)
F <- as.matrix(mcl_sll[ ,-1])	# The Feature matrix
#F <- cbind(F, rep(1, times=dim(F)[1]))
message(dim(F)[1], " samples and ",dim(F)[2], " features.")

G <- ignore.redundant(F)
message("for ",dim(G)[1], " samples, ",dim(G)[2], " features are left.")