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

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.")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(FeaLect)
Loading required package: lars
Loaded lars 1.2

Loading required package: rms
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/FeaLect/ignore.redundant.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ignore.redundant
> ### Title: Refines a feature matrix
> ### Aliases: ignore.redundant
> ### Keywords: regression multivariate classif models
> 
> ### ** 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.")
22 samples and 236 features.
> 
> G <- ignore.redundant(F)
> message("for ",dim(G)[1], " samples, ",dim(G)[2], " features are left.")
for 22 samples, 188 features are left.
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>