install.packages("tesselle")
Overview
The tesselle packages focus on quantitative analysis methods developed for archaeology. They are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data.
Most of our packages are distributed on CRAN, development versions and non-CRAN packages (e.g. WIP packages and large data packages) can be installed from our repository.
Install the complete suite with:
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.
Documentation Source codearkhe
Tools for Cleaning Rectangular Data
A collection of simple functions 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.
Documentation Source codechronos
Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling
Statistical analysis of archaeological dates and groups of dates. This package allows to post-process Markov Chain Monte Carlo (MCMC) simulations from ChronoModel, Oxcal or BCal This package provides functions for the study of rhythms of the long term from the posterior distribution of a series of dates (tempo and activity plot). It also allows the estimation and visualization of time ranges from the posterior distribution of groups of dates (e.g. duration, transition and hiatus between successive phases).
Documentation Source codedimensio
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 et al. (2006).
Documentation Source codekairos
Analysis of Chronological Patterns from Archaeological Count Data
A toolkit for absolute dating and analysis of chronological patterns. kairos includes functions for chronological modeling and dating of archaeological assemblages from count data. It allows to compute time point estimates and density estimates of the occupation and duration of an archaeological site.
Documentation Source codekhroma
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.
folio
Datasets for Teaching Archaeology and Paleontology
Datasets for teaching quantitative approaches and modeling in 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.).
Documentation Source codenexus
Sourcing Archaeological Materials by Chemical Composition
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.
Documentation Source codetabula
Analysis and Visualization of Archaeological Count Data
An easy way to examine 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.
Documentation Source code