| 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. |