Overview
Base R ships with a lot of functionality useful for time series, in particular in the stats package. However, these features are not adapted to most archaeological time series. These are indeed defined for a given calendar era, they can involve dates very far in the past and the sampling of the observation time is (in most cases) not constant.
aion provides a system of classes and methods to represent and work with such time-series. Dates are represented as rata die (Reingold and Dershowitz 2018), i.e. the number of days since 01-01-01 (Gregorian), with negative values for earlier dates. This allows to represent dates independently of any calendar: it makes calculations and comparisons easier.
Once a time series is created with aion, any calendar can be used for printing or plotting data (defaults to Gregorian Common Era; see vignette("aion")
).
aion does not provide tools for temporal modeling. Instead, it offers a simple API that can be used by other specialized packages.
in publications use:
To cite aion
J (2023). _aion: Archaeological Time Series_.
Frerebeau N, Roe
Université Bordeaux Montaigne, Pessac, France.:10.5281/zenodo.8032278 <https://doi.org/10.5281/zenodo.8032278>,
doi1.0.2, <https://packages.tesselle.org/aion/>.
R package version
Une entrée BibTeX pour les utilisateurs LaTeX est
@Manual{,
= {Nicolas Frerebeau and Joe Roe},
author = {{aion: Archaeological Time Series}},
title = {2023},
year = {Université Bordeaux Montaigne},
organization = {Pessac, France},
address = {R package version 1.0.2},
note = {https://packages.tesselle.org/aion/},
url = {10.5281/zenodo.8032278},
doi
}
This package is a part of the tesselle project<https://www.tesselle.org>.
Installation
You can install the released version of aion from CRAN with:
install.packages("aion")
And the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("tesselle/aion")
Usage
## Set seed for reproductibility
set.seed(12345)
## Create 6 time-series of 50 observations
## Sampled every two years starting from 2000 BP
X <- series(
object = matrix(rnorm(300), nrow = 50, ncol = 6),
time = seq(from = 2000, by = -2, length.out = 50),
calendar = calendar("BP")
)
## Plot
plot(X) # Default calendar
Related Works
- era: provides a consistent representation of year-based time scales as a numeric vector with an associated era.
Contributing
Please note that the aion project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.