ExampleRawData          Example dataset to test the performance of the
                        sigFeature package.
PlotErrors              Plot the mean CV errors.
WritesigFeature         Write the features and sample IDs.
featsweepSigFe          Processed output data after using the function
                        named "sigCVError()".
featureRankedList       Processed output data after using the function
                        named "svmrfeFeatureRanking()".
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
