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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.
Version: | 1.1.1 |
Depends: | R (≥ 3.3) |
Suggests: | covr, devtools, dplyr, forcats, ggplot2, ggridges, knitr, reshape2, rmarkdown, stringr, testthat |
Published: | 2023-11-18 |
DOI: | 10.32614/CRAN.package.datplot |
Author: | Lisa Steinmann [aut, cre, cph], Barbora Weissova [ctb] |
Maintainer: | Lisa Steinmann <lisa.steinmann at rub.de> |
BugReports: | https://github.com/lsteinmann/datplot/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/lsteinmann/datplot, https://lsteinmann.github.io/datplot/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | datplot results |
Reference manual: | datplot.pdf |
Vignettes: |
Data Preparation and Visualization datplot: Visualizing chronological distribution |
Package source: | datplot_1.1.1.tar.gz |
Windows binaries: | r-devel: datplot_1.1.1.zip, r-release: datplot_1.1.1.zip, r-oldrel: datplot_1.1.1.zip |
macOS binaries: | r-release (arm64): datplot_1.1.1.tgz, r-oldrel (arm64): datplot_1.1.1.tgz, r-release (x86_64): datplot_1.1.1.tgz, r-oldrel (x86_64): datplot_1.1.1.tgz |
Old sources: | datplot archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.