granova: Graphical Analysis of Variance
This small collection of functions provides what we call elemental graphics for display of analysis of variance
results, David C. Hoaglin, Frederick Mosteller and John W. Tukey (1991, ISBN:978-0-471-52735-0), Paul R. Rosenbaum (1989)
<doi:10.2307/2684513>, Robert M. Pruzek and James E. Helmreich <https://jse.amstat.org/v17n1/helmreich.html>.
The term elemental derives from the fact that each function is aimed at construction of
graphical displays that afford direct visualizations of data with respect to the fundamental
questions that drive the particular analysis of variance methods. These functions can be
particularly helpful for students and non-statistician analysts. But these methods should be
quite generally helpful for work-a-day applications of all kinds, as they can help to identify
outliers, clusters or patterns, as well as highlight the role of non-linear transformations of data.
| Version: |
2.2 |
| Depends: |
R (≥ 3.1.1), car (≥ 2.0-21) |
| Suggests: |
mgcv, rgl, tcltk, MASS |
| Published: |
2023-03-22 |
| DOI: |
10.32614/CRAN.package.granova |
| Author: |
Frederic Bertrand 
[cre],
Robert M. Pruzek [aut],
James E. Helmreich [aut] |
| Maintainer: |
Frederic Bertrand <frederic.bertrand at utt.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
granova results |
Documentation:
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