sigFeature: Significant feature selection using SVM-RFE & t-statistic

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Documentation for package ‘sigFeature’ version 1.18.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

ExampleRawData	Example dataset to test the performance of the sigFeature package.
featsweepSigFe	Processed output data after using the function named "sigCVError()".
featureRankedList	Processed output data after using the function named "svmrfeFeatureRanking()".
PlotErrors	Plot the mean CV errors.
results	Processed output data after using the function named "sigFeature.enfold()".
sigCVError	Mean external cross validation (k-fold) error calculation.
sigFeature	Significant Feature Selection by using SVM-RFE & t-statistic.
sigFeature.enfold	Significant feature selection with k-fold data.
sigFeatureFrequency	Arrange the features on the basis of frequency.
sigFeaturePvalue	Find the p-value of those ranked features by using t-statistic
sigfeatureRankedList	Processed output data after using the function named "sigFeature()".
svmrfeFeatureRanking	R implementation of the SVM-RFE algorithm for binary classification problems
WritesigFeature	Write the features and sample IDs.