Package: datplot 1.1.1

datplot: Preparation of Object Dating Ranges for Density Plots (Aoristic Analysis)

Converting date ranges into dating 'steps' eases the visualization of changes in e.g. pottery consumption, style and other variables over time. This package provides tools to process and prepare data for visualization and employs the concept of aoristic analysis.

Authors:Lisa Steinmann [aut, cre, cph], Barbora Weissova [ctb]

datplot_1.1.1.tar.gz
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datplot_1.1.1.tgz(r-4.6-any)datplot_1.1.1.tgz(r-4.5-any)
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datplot_1.1.1.tgz(r-4.5-emscripten)
datplot.pdf |datplot.html
datplot/json (API)
NEWS

# Install 'datplot' in R:
install.packages('datplot', repos = c('https://lsteinmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lsteinmann/datplot/issues

Pkgdown/docs site:https://lsteinmann.github.io

Datasets:

On CRAN:

Conda:

aoristic-analysesarchaeologychronologyvisualization

5.62 score 10 stars 42 scripts 200 downloads 6 exports 0 dependencies

Last updated from:08d8ff088e. Checks:9 OK. Indexed: yes.

TargetResultTotal timeArtifact
linux-devel-x86_64OK133
source / vignettesOK169
linux-release-x86_64OK132
macos-devel-arm64OK102
macos-release-arm64OK89
windows-develOK81
windows-releaseOK78
windows-oldrelOK87
wasm-releaseOK114

Exports:datstepsget.histogramscaleget.probabilityget.step.sequenceget.weightsscaleweight

Dependencies:

Data Preparation and Visualization

Rendered fromdata_preparation.Rmdusingknitr::rmarkdownon Feb 07 2026.

Last update: 2023-11-15
Started: 2021-01-15

Density Plots for Dates

Rendered fromhow-to.Rmdusingknitr::rmarkdownon Feb 07 2026.

Last update: 2023-11-15
Started: 2020-05-24

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