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 provides methods for:
- Diversity measurement:
- Similarity measurement and co-occurrence:
- Assessing sample size and significance:
- Bertin (1977) or Ford (1962) (battleship curve) diagrams:
- Seriograph (Desachy 2004):
kairos is a companion package to tabula that provides functions for chronological modeling and dating of archaeological assemblages from count data.
in publications use: To cite tabula N (2019). "tabula: An R Package for Analysis, Seriation, Frerebeau and Visualization of Archaeological Count Data." _Journal of Open *4*(44). doi:10.21105/joss.01821 Source Software_, <https://doi.org/10.21105/joss.01821>. N (2023). _tabula: Analysis and Visualization of Frerebeau Archaeological Count Data_. Université Bordeaux Montaigne, Pessac,:10.5281/zenodo.1489944 France. doi<https://doi.org/10.5281/zenodo.1489944>, R package version 3.0.1, <https://packages.tesselle.org/tabula/>. This package is a part of the tesselle project<https://www.tesselle.org>.
You can install the released version of tabula from CRAN with:
And the development version from GitHub with:
# install.packages("remotes") remotes::install_github("tesselle/tabula")
It assumes that you keep your data tidy: each variable (type/taxa) must be saved in its own column and each observation (sample/case) must be saved in its own row.
Please note that the tabula project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.