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.


Reference manual

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0.4-1 by Rense Nieuwenhuis, 8 months ago


Browse source code at https://github.com/cran/wec

Authors: Rense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexander Schmidt, Ruben Konig, Rob Eisinga

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr

See at CRAN