generateCowbellConcept {cowbell} | R Documentation |
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.
generateCowbellConcept(formula, minDest = NA, maxDest = NA, minSrcA = NA,
maxSrcA = NA, minSrcB = NA, maxSrcB = NA)
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.
concept<-generateCowbellConcept(Fun ~ Fluency * Absorption, 1, 9, 1, 7, 1, 7)