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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 |
| DOI: | 10.32614/CRAN.package.wec |
| 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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