Package: cowbell 0.1.0

Christoph Luerig

cowbell: Performs Segmented Linear Regression on Two Independent Variables

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.

Authors:Christoph Luerig [aut, cre]

cowbell_0.1.0.tar.gz
cowbell_0.1.0.tar.gz(r-4.5-noble)cowbell_0.1.0.tar.gz(r-4.4-noble)
cowbell_0.1.0.tgz(r-4.4-emscripten)cowbell_0.1.0.tgz(r-4.3-emscripten)
cowbell.pdf |cowbell.html
cowbell/json (API)

# Install 'cowbell' in R:
install.packages('cowbell', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • allFun - AllFun: Data set for Fluency, Absorption, Fit and Fun.
  • testA - TestA: Artificial data set for testing.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.15 score 14 scripts 160 downloads 2 exports 52 dependencies

Last updated 8 years agofrom:35f663f391. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxNOTENov 28 2024

Exports:generateCowbellgenerateCowbellConcept

Dependencies:base64encbslibcachemclicolorspacedigestevaluatefansifarverfastmapfontawesomefsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemisc3dmunsellnlmepillarpkgconfigR6rappdirsRColorBrewerrglrlangrmarkdownsassscalestibbletinytexutf8vctrsviridisLitewithrxfunyaml

Cowbell: Segmented Linear Regression as Response Surface

Rendered fromcowbell.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2017-05-05
Started: 2017-05-05