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.

Version: 0.4-1
Imports: dplyr
Published: 2017-10-31
Author: Rense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexander Schmidt, Ruben Konig, Rob Eisinga
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis at sofi.su.se>
License: GPL-3
URL: http://www.ru.nl/sociology/mt/wec/downloads/
NeedsCompilation: no
Citation: wec citation info
CRAN checks: wec results


Reference manual: wec.pdf


Package source: wec_0.4-1.tar.gz
Windows binaries: r-devel: wec_0.4-1.zip, r-release: wec_0.4-1.zip, r-oldrel: wec_0.4-1.zip
macOS binaries: r-release (arm64): wec_0.4-1.tgz, r-oldrel (arm64): wec_0.4-1.tgz, r-release (x86_64): wec_0.4-1.tgz, r-oldrel (x86_64): wec_0.4-1.tgz
Old sources: wec archive


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