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

ExampleRawData | Example dataset to test the performance of the sigFeature... |

featsweepSigFe | Processed output data after using the function named... |

featureRankedList | Processed output data after using the function named... |

PlotErrors | Plot the mean CV errors. |

results | Processed output data after using the function named... |

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... |

sigfeatureRankedList | Processed output data after using the function named... |

svmrfeFeatureRanking | R implementation of the SVM-RFE algorithm for binary... |

WritesigFeature | Write the features and sample IDs. |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.