wec: Weighted Effect Coding

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.

Getting started

Package details

AuthorRense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexander Schmidt, Ruben Konig, Rob Eisinga
MaintainerRense Nieuwenhuis <[email protected]>
LicenseGPL-3
Version0.4-1
URL http://www.ru.nl/sociology/mt/wec/downloads/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("wec")

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wec documentation built on Nov. 17, 2017, 4:41 a.m.