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.

Install the latest version of this package by entering the following in R:
install.packages("wec")
AuthorRense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexander Schmidt, Ruben Konig, Rob Eisinga
Date of publication2016-12-14 00:11:24
MaintainerRense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>
LicenseGPL-3
Version0.4
http://www.ru.nl/sociology/mt/wec/downloads/

View on CRAN

Files

inst
inst/CITATION
NAMESPACE
data
data/PUMS.rdata
data/BMI.RData
R
R/contr.wec.R R/wec.interact.R
MD5
DESCRIPTION
man
man/wec.interact.Rd man/PUMS.Rd man/BMI.Rd man/contr.wec.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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