The R Journal: article published in 2013, volume 5:2

factorplot: Improving Presentation of Simple Contrasts in Generalized Linear Models
David A. Armstrong II , The R Journal (2013) 5:2, pages 4-15.

Abstract Recent statistical literature has paid attention to the presentation of pairwise comparisons either from the point of view of the reference category problem in generalized linear models (GLMs) or in terms of multiple comparisons. Both schools of thought are interested in the parsimonious presentation of sufficient information to enable readers to evaluate the significance of contrasts resulting from the inclusion of qualitative variables in GLMs. These comparisons also arise when trying to interpret multinomial models where one category of the dependent variable is omitted as a reference. While considerable advances have been made, opportunities remain to improve the presentation of this information, especially in graphical form. The factorplot package provides new functions for graphically and numerically presenting results of hypothesis tests related to pairwise comparisons resulting from qualitative covariates in GLMs or coefficients in multinomial logistic regression models.

Received: 2012-03-13; online 2013-11-22
CRAN packages: multcomp, qvcalc, Epi, car, multcompView, factorplot
CRAN Task Views implied by cited CRAN packages: SocialSciences, Survival, ClinicalTrials, Econometrics, Finance, Multivariate

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2013-021,
  author = {David A. Armstrong II},
  title = {{factorplot: Improving Presentation of Simple Contrasts in
          Generalized Linear Models}},
  year = {2013},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2013-021},
  url = {https://doi.org/10.32614/RJ-2013-021},
  pages = {4--15},
  volume = {5},
  number = {2}
}