generateCowbellConcept: Expresses the fitting formula and the value range of the...

In Carbonfreezer/cowbell: Performs Segmented Linear Regression on Two Independent 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)

Carbonfreezer/cowbell documentation built on May 8, 2019, 7:50 p.m.