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 |
Imports: | dplyr |
Published: | 2016-12-14 |
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.tar.gz |
Windows binaries: | r-devel: wec_0.4.zip, r-release: wec_0.4.zip, r-oldrel: wec_0.4.zip |
OS X Mavericks binaries: | r-release: wec_0.4.tgz, r-oldrel: wec_0.4.tgz |
Old sources: | wec archive |
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