Performs Segmented Linear Regression on Two Independent Variables

Documentation for package ‘cowbell’ version 0.1.0

cowbell-package	Computes a response surface as segmented linear regression that resembles a cowbell.
allFun	allFun: Data set for Fluency, Absorption, Fit and Fun.
cowbell	Computes a response surface as segmented linear regression that resembles a cowbell.
fitted.cowbell	Implementation of the 'fitted' generic.
generateCowbell	Performs the segmented linear regression analysis generating the cowbell function.
generateCowbellConcept	Expresses the fitting formula and the value range of the variables.
plot.cowbell	Plots the obtained cowbell function.
predict.cowbell	Performs a prediction on the cowbell model that has been generated.
print.cowbell	Summarizes the cowbell regression analysis
print.cowbellConcept	Summarizes the cowbell concept with the formula and value ranges.
print.summary.cowbell	Prints the summary obtained by 'summary.cowbell'.
residuals.cowbell	Implementation of the 'residuals' generic.
summary.cowbell	Generates the core information of the cowbell analysis.
testA	testA: Artificial data set for testing.