print.cowbellConcept

Object generated with function <code><a rd-options="" href="/link/generateCowbellConcept?package=cowbell&version=0.1.0" data-mini-rdoc="cowbell::generateCowbellConcept">generateCowbellConcept</a></code>

Implementation of the <code><a rd-options="" href="/link/print?package=cowbell&version=0.1.0" data-mini-rdoc="cowbell::print">print</a></code> generic.

Implements a specific form of segmented linear regression
with two independent variables. The visualization of that function looks
like a quarter segment of a cowbell giving the package its name.
The package has been specifically constructed for the case where minimum
and maximum value of the dependent and two independent variables
are known a prior, which is usually the case
when those values are derived from Likert scales.

Christoph Luerig

cowbell

Performs Segmented Linear Regression on Two Independent
Variables

print.cowbellConcept function

Object generated with function <code><a rd-options='' href='generateCowbellConcept'>generateCowbellConcept</a></code>

Implementation of the <code><a rd-options='' href='print'>print</a></code> generic.

print.cowbellConcept: Summarizes the cowbell concept with the formula and value ranges.

Description

Usage

Arguments

See Also

Examples