generateCowbellConcept {cowbell} | R Documentation |

## Expresses the fitting formula and the value range of the variables.

### Description

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.

### Usage

```
generateCowbellConcept(formula, minDest = NA, maxDest = NA, minSrcA = NA,
maxSrcA = NA, minSrcB = NA, maxSrcB = NA)
```

### Arguments

`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. |

### Value

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

### Examples

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

*cowbell*version 0.1.0 Index]