Description Usage Arguments Value Examples

Generates a concept which is basically the formula used for the regression analysis and minimal and maximal values of the dependent and two independent variables. As this package creates a very specific regression model the formula is always of the form Dest ~ SrcA * SrcB. If one of the minimal and maximal values are omitted, the minimum or maximum value of the data set will be used later on.

1 2 |

`formula` |
The formula essentially specifying the names of the dependend variable (here Dest) and the two independent variables (here SrcA, SrcB). Example: Dest ~ SrcA * SrcB. |

`minDest` |
The a prior known minimal value the dependend variable (Dest) can have. |

`maxDest` |
The a prior known maximal value the dependend variable (Dest) can have. |

`minSrcA` |
The a prior known minimal value the first dependend variable (SrcA) can have. |

`maxSrcA` |
The a prior known maximal value the first dependend variable (SrcA) can have. |

`minSrcB` |
The a prior known minimal value the second dependend variable (SrcB) can have. |

`maxSrcB` |
The a prior known maximal value the second dependend variable (SrcB) can have. |

List of the aggregate information. This is used in the regression analysis.

1 | ```
concept<-generateCowbellConcept(Fun ~ Fluency * Absorption, 1, 9, 1, 7, 1, 7)
``` |

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