Graphics are good for showing the information in datasets and for complementing modelling. Sometimes graphics show information models miss, sometimes graphics help to make model results more understandable, and sometimes models show whether information from graphics has statistical support or not. It is the interplay of the two approaches that is valuable. Graphics could be used a lot more in R examples and we explore this idea with some datasets available in R packages.
MASS, granova, ggplot2, vcd, knitr, HH
Graphics, Multivariate, SocialSciences, ClinicalTrials, Distributions, Econometrics, Environmetrics, ExperimentalDesign, NumericalMathematics, Pharmacokinetics, Phylogenetics, Psychometrics, ReproducibleResearch, Robust
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For attribution, please cite this work as
Unwin, et al., "Let Graphics Tell the Story - Datasets in R", The R Journal, 2013
BibTeX citation
@article{RJ-2013-012,
author = {Unwin, Antony and Hofmann, Heike and Cook, Dianne},
title = {Let Graphics Tell the Story - Datasets in R},
journal = {The R Journal},
year = {2013},
note = {https://doi.org/10.32614/RJ-2013-012},
doi = {10.32614/RJ-2013-012},
volume = {5},
issue = {1},
issn = {2073-4859},
pages = {117-129}
}