Learn R Programming

corregp (version 0.1.2)

corregp-package: Functions and Methods for Correspondence Regression

Description

This package provides functions and methods for performing correspondence regression, i.e. the correspondence analysis of the crosstabulation of a categorical variable Y in function of another one X, where X can in turn be made up of the combination of various categorical variables. Consequently, correspondence regression can be used the analyze the effects for a polytomous or multinomial outcome variable. The central function in the package is corregp, which enables methods for printing, summarizing and plotting the output. Additionally, there are functions for computing confidence intervals, ellipses or 3D ellipsoids (by means of bootstrapping).

Arguments

Contents

This package consists of the following datasets, functions, generics and methods: Datasets{ {Hair and eye color of statistics students (data frame).} COMURE{The use of linguistic variants in translations vs. non-translations and in six different registers.} TSS {The use of inflected or uninflected determiners in vernacular Belgian Dutch.} }

subsection

  • Functions
  • Generics
  • Methods

code

plot3d.corregp

Future prospects

  • Include a vignette.
  • Allow for more than one random factor (e.g. enable the argumentparmto be a character vector of more than one element).
  • Specify methods foranova,predict,residualsetc.
  • Enable scale transformations for all plots (and corresponding confidence regions).
  • Provide the possibility for so-called "calibration lines".

Author

Koen Plevoets, koen.plevoets@ugent.be

Acknowledgements

This package has benefited greatly from the helpful comments of Isabelle Delaere and Gert De Sutter. Thanks to Kurt Hornik and Uwe Ligges for proofing this package.