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.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.
tabula uses the following options()
to configure behavior:
tabula.progress
: a logical
scalar. Should progress bars be
displayed? Defaults to interactive()
.
tabula.verbose
: a logical
scalar. Should R report extra information
on progress? Defaults to interactive()
.
Maintainer: Nicolas Frerebeau nicolas.frerebeau@u-bordeaux-montaigne.fr (ORCID)
Other contributors:
Matthew Peeples matthew.peeples@asu.edu (ORCID) [contributor]
Ben Marwick bmarwick@uw.edu (ORCID) [contributor]
Jean-Baptiste Fourvel jean-baptiste.fourvel@univ-amu.fr (ORCID) [contributor]
Brice Lebrun (ORCID) (Logo designer) [artist]
Université Bordeaux Montaigne (ROR) [funder]
CNRS (ROR) [funder]
Version | 3.3.0 |
License | GPL-3 |
CRAN DOI | tools:::Rd_expr_doi("10.32614/CRAN.package.tabula") |
Zenodo DOI | tools:::Rd_expr_doi("10.5281/zenodo.1489944") |
JOSS DOI | tools:::Rd_expr_doi("10.21105/joss.01821") |
Archéosciences Bordeaux (UMR 6034)
Maison de l'Archéologie
Université Bordeaux Montaigne
33607 Pessac cedex
France
Useful links: