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wec  

Weighted Effect Coding
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("wec", "0.4-1")



Attach the package and use:
library("wec")
Maintained by
Rense Nieuwenhuis
[Scholar Profile | Author Map]
First Published: 2015-08-28
Latest Update: 2017-10-31
Description:
Provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.
How to cite:
Rense Nieuwenhuis (2015). wec: Weighted Effect Coding. R package version 0.4-1, https://cran.r-project.org/web/packages/wec. Accessed 19 Feb. 2025.
Previous versions and publish date:
0.1 (2015-08-28 16:37), 0.2 (2016-10-31 07:57), 0.3 (2016-11-16 01:15), 0.4 (2016-12-14 00:11)
Other packages that cited wec R package
View wec citation profile
Other R packages that wec depends, imports, suggests or enhances
Complete documentation for wec
Functions, R codes and Examples using the wec R package
Some associated functions: BMI . PUMS . contr.wec . wec.interact . 
Some associated R codes: contr.wec.R . wec.interact.R .  Full wec package functions and examples
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