factorplot: Improving Presentation of Simple Contrasts in Generalized Linear Models

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.

David A. Armstrong II
2013-11-22

CRAN packages used

multcomp, qvcalc, Epi, car, multcompView, factorplot

CRAN Task Views implied by cited packages

SocialSciences, Survival, ClinicalTrials, Econometrics, Finance, Multivariate

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

Citation

For attribution, please cite this work as

II, "factorplot: Improving Presentation of Simple Contrasts in Generalized Linear Models", The R Journal, 2013

BibTeX citation

@article{RJ-2013-021,
  author = {II, David A. Armstrong},
  title = {factorplot: Improving Presentation of Simple Contrasts in Generalized Linear Models},
  journal = {The R Journal},
  year = {2013},
  note = {https://doi.org/10.32614/RJ-2013-021},
  doi = {10.32614/RJ-2013-021},
  volume = {5},
  issue = {2},
  issn = {2073-4859},
  pages = {4-15}
}