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. |