ignore.redundant: Refines a feature matrix

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/ignore.redundant.R

Description

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

Usage

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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

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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.")

FeaLect documentation built on May 30, 2017, 7:20 a.m.

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