Welcome

tesselle is a collection of R packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The tesselle packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages.

Read the doc

Quickly discover relevant content by searching the documentation or exploring the project bibliography.

Count data

tabula Analysis and Visualization of Archaeological Count Data
**tabula** 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 and Bertin diagrams.

Compositional data

nexus Sourcing Archaeological Materials by Chemical Composition
**nexus** allows the exploration and analysis of compositional data in the framework of Aitchison (1986). It provides tools for chemical fingerprinting and source tracking of ancient materials. **Initial development is in progress.**

Chronological data

kairos Analysis of Chronological Patterns from Archaeological Count Data
A toolkit for absolute dating and analysis of chronological patterns. This package includes functions for chronological modeling and dating of archaeological assemblages from count data. It provides methods for matrix seriation. It also allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.
aion Archaeological Time Series
A toolkit for archaeological time series analysis. This package provides a system of classes and methods to represent and work with archaeological time series. Dates are represented as *rata die* and can be converted to (virtualy) any calendar defined by Reingold (2018).

Multivariate data analysis

dimensio Multivariate Data Analysis
Simple Principal Components Analysis (PCA) and Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984) and Lebart (2006).

Data visualization

isopleuros Ternary Plots
This package allows to create ternary plot using `graphics`. It provides functions to display the data in the ternary space, to add or tune graphical elements and to display statistical summaries. It also includes common ternary diagrams useful for the archaeologist (e.g. soil texture charts, ceramic phase diagram).
khroma Colour Schemes for Scientific Data Visualization
Colour schemes ready for each type of data (qualitative, diverging or sequential), with colours that are distinct for all people, including colour-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) colour schemes for use with `graphics` or `ggplot2`. It provides tools to simulate colour-blindness and to test how well the colours of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.

Tools

alkahest Pre-Processing XY Data from Experimental Methods
A lightweight, dependency-free toolbox for pre-processing XY data from experimental methods (i.e. any signal that can be measured along a continuous variable). This package provides methods for baseline estimation and correction, smoothing, normalization, integration and peaks detection.
arkhe Tools for Cleaning Rectangular Data
This package allows to detect, count and replace values or delete rows/columns according to a specific predicate. In addition, it provides tools to check conditions and return informative error messages.

Datasets

folio Datasets for Teaching Archaeology and Paleontology
**folio** provides several types of data related to broad topics (cultural evolution, radiocarbon dating, paleoenvironments, etc.), which can be used to illustrate statistical methods in the classroom (multivariate data analysis, compositional data analysis, diversity measurement, etc.).
No matching items