FeaLect (version 1.20)

ignore.redundant: 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.

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

# NOT RUN {
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.")

# }