Description Usage Arguments Value

This function calculates the A3 results. Generally this function is not called directly. It is simpler to use `a3`

(for arbitrary models) or `a3.lm`

(specifically for linear regressions).

1 2 3 |

`formula` |
the regression formula. |

`data` |
a data frame containing the data to be used in the model fit. |

`model.fn` |
function used to generate a model. |

`simulate.fn` |
function used to create the model and generate predictions. |

`n.folds` |
the number of folds used for cross-validation. Set to 0 to use Leave One Out Cross Validation. |

`data.generating.fn` |
the function used to generate stochastic noise for calculation of exact p values. |

`p.acc` |
the desired accuracy for the calculation of exact p values. The entire calculation process will be repeated |

`features` |
whether to calculate the average slopes, added |

`slope.sample` |
if not NULL the sample size for use to calculate the average slopes (useful for very large data sets). |

`slope.displacement` |
the amount of displacement to take in calculating the slopes. May be a single number in which case the same slope is applied to all features. May also be a named vector where there is a name for each feature. |

S3 `A3`

object containing:

`model.R2` |
The cross validated |

`feature.R2` |
The cross validated |

`model.p` |
The p value for the entire model (if calculated). |

`feature.p` |
The p value for the features (if calculated). |

`all.R2` |
The |

`observed` |
The observed response for each observation. |

`predicted` |
The predicted response for each observation. |

`slopes` |
Average slopes for each of the features (if calculated). |

`all.slopes` |
Slopes for each of the observations for each of the features (if calculated). |

`table` |
The A3 results table. |

A3 documentation built on May 30, 2017, 12:41 a.m.

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