Description Usage Arguments Value

Test how changing a model sample size affect model performance. Function requires separate training and test data. Currently only parallel processing using doParalell is supported, will add a non parallel version soon

1 | ```
SampleSizeTest(train, trainingY, testY, testX, sizes, NoCores)
``` |

`train` |
A dataframe/matrix containing a dependent variable and set of independent (predictor) variable used for model training |

`trainingY` |
Name of the dependent variable |

`testY` |
A vector of dependent variable to be used for model validation (testing) |

`testX` |
A data frame of predictor variables used for testing, row numbers MUST corespond to the values in testY |

`sizes` |
A vector of samples sizes to be tested |

`NoCores` |
Number of Cores to used to parallel processing |

A dataframe of model performance statistics for each sample size test. Metrics returned include coefficient of determination (Rsq), root mean squared error (RMSE), mean error (ME), mean absolute error (MAE).

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