Description Usage Arguments Value Author(s) See Also

View source: R/FRESAModelingFunctions.R

Prepares the KNN function to be used to predict the class of a new set

1 |

`formula` |
the base formula to extract the outcome |

`data` |
the data to be used for training the KNN method |

`...` |
parameters for the KNN function and the data scaling method |

`trainData` |
The data frame to be used to train the KNN prediction |

`scaledData` |
The scaled training set |

`classData` |
A vector with the outcome to be used by the KNN function |

`outcome` |
The name of the outcome |

`usedFeatures` |
The list of features to be used by the KNN method |

`mean_col` |
A vector with the mean of each training feature |

`disp_col` |
A vector with the dispesion of each training feature |

`kn` |
The number of neigbors to be used by the predict function |

`scaleMethod` |
The scaling method to be used by FRESAScale() function |

Jose G. Tamez-Pena

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