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Last data update: 2014.03.03

R: Checks the inputs to Fealect() function.

input.check.FeaLect

R Documentation

Checks the inputs to Fealect() function.

Description

We should have: F as a matrix, L as a vector, and length of L be equal to number of rows of F. They should have names accordingly.

Usage

input.check.FeaLect(F_, L_, maximum.features.num, gamma)

Arguments

`F_`	The feature matrix, each column is a feature.
`L_`	The vector of labels named according to the rows of F.
`maximum.features.num`	Upto this number of features are allowed to contribute to each linear model.
`gamma`	A value in range 0-1 that determines the relative size of sample subsets.

Details

If the input is not appropriate, error or warning message will be produced.

Value

Returns a list of:

`F_`	The feature matrix, each column is a feature.
`L_`	The vector of labels named according to the rows of F.
`maximum.features.num`	Upto this number of features are allowed to contribute to each linear model.

Author(s)

Habil Zare

References

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

Examples

library(FeaLect)
data(mcl_sll)
F <- as.matrix(mcl_sll[ ,-1])	# The Feature matrix
L <- as.numeric(mcl_sll[ ,1])	# The labels
names(L) <- rownames(F)

checked <- input.check.FeaLect(F_=F, L_=L, maximum.features.num=10, gamma=3/4)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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Platform: x86_64-pc-linux-gnu (64-bit)

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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/input.check.FeaLect.Rd_%03d_medium.png", width=480, height=480)
> ### Name: input.check.FeaLect
> ### Title: Checks the inputs to Fealect() function.
> ### Aliases: input.check.FeaLect
> ### Keywords: regression multivariate classif models error misc debugging
> 
> ### ** Examples
> 
> library(FeaLect)
> data(mcl_sll)
> F <- as.matrix(mcl_sll[ ,-1])	# The Feature matrix
> L <- as.numeric(mcl_sll[ ,1])	# The labels
> names(L) <- rownames(F)
> 
> checked <- input.check.FeaLect(F_=F, L_=L, maximum.features.num=10, gamma=3/4)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>