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codingMatrices  

Alternative Factor Coding Matrices for Linear Model Formulae
View on CRAN: Click here


Download and install codingMatrices package within the R console
Install from CRAN:
install.packages("codingMatrices")

Install from Github:
library("remotes")
install_github("cran/codingMatrices")

Install by package version:
library("remotes")
install_version("codingMatrices", "0.4.0")



Attach the package and use:
library("codingMatrices")
Maintained by
Bill Venables
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-10
Latest Update: 2023-02-01
Description:
A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
How to cite:
Bill Venables (2016). codingMatrices: Alternative Factor Coding Matrices for Linear Model Formulae. R package version 0.4.0, https://cran.r-project.org/web/packages/codingMatrices. Accessed 28 Jun. 2026.
Previous versions and publish date:
0.1.1 (2016-02-10 18:57), 0.2.0 (2016-02-15 16:03), 0.2.1 (2016-07-09 10:13), 0.2.2 (2017-02-23 08:31), 0.3.0 (2017-04-19 01:47), 0.3.1 (2017-05-05 05:12), 0.3.2 (2018-02-18 22:30), 0.3.3 (2021-02-08 09:10), 0.3.4 (2022-05-03 11:00)
Other packages that cited codingMatrices R package
View codingMatrices citation profile
Other R packages that codingMatrices depends, imports, suggests or enhances
Complete documentation for codingMatrices
Functions, R codes and Examples using the codingMatrices R package
Some associated functions: Codings . mean_contrasts . 
Some associated R codes: code_extra.R .  Full codingMatrices package functions and examples
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