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


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Documentation for package ‘sigFeature’ version 1.2.0

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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.