tabula: Analysis and Visualization of Archaeological Count Data
An easy way to examine archaeological count data. This
package provides several tests and measures of diversity:
heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.),
richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and
similarity (Brainerd-Robinson, etc.). The package make it easy to
visualize count data and statistical thresholds: rank vs abundance
plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.3) |
| Imports: |
arkhe (≥ 1.0.0), ggplot2, methods, rlang, stats, utils |
| Suggests: |
covr, folio, khroma, knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0) |
| Published: |
2022-11-06 |
| Author: |
Nicolas Frerebeau 
[aut, cre] (Université Bordeaux Montaigne),
Brice Lebrun
[ctb] (Université Bordeaux Montaigne),
Matthew Peeples
[ctb] (Arizona State University),
Ben Marwick [ctb]
(University of Washington),
Anne Philippe
[ctb] (Université de Nantes),
Jean-Baptiste Fourvel
[ctb] (CNRS) |
| Maintainer: |
Nicolas Frerebeau <nicolas.frerebeau at u-bordeaux-montaigne.fr> |
| BugReports: |
https://github.com/tesselle/tabula/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://packages.tesselle.org/tabula/,
https://github.com/tesselle/tabula |
| NeedsCompilation: |
no |
| Citation: |
tabula citation info |
| Materials: |
README NEWS |
| CRAN checks: |
tabula results |
Documentation:
Downloads:
Reverse dependencies:
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