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
datplot_1.1.1.zip(r-4.7-any)datplot_1.1.1.zip(r-4.6-any)datplot_1.1.1.zip(r-4.5-any)
datplot_1.1.1.tgz(r-4.6-any)datplot_1.1.1.tgz(r-4.5-any)
datplot_1.1.1.tar.gz(r-4.7-any)datplot_1.1.1.tar.gz(r-4.6-any)
datplot_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
datplot/json (API)

# 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

5.65 score 10 stars 45 scripts 319 downloads 6 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK207
linux-release-x86_64OK146
macos-release-arm64OK128
macos-oldrel-arm64OK180
windows-develOK76
windows-releaseOK98
windows-oldrelOK73
wasm-releaseOK153

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

Dependencies:

Data Preparation and Visualization
The "Inscriptions of Bithynia" data set | Data Preparation, Cleaning and Reformatting | Cleaning up the Dating-variable | Creating a Concordance for Periods | Reformatting of Partially Numerical Dating Values | Reformatting of Inscriptions Dated to Complete Centuries | Reformatting of Imprecise Dating Values | Creating a Second Concordance for Verbose Chronological Assessments | Joining the Reformatted Data with the Original Data Set | Fixing mistakes | Storing the Prepared Data Set | Selecting the Data for Further Analysis and using datplot | datplot | Visualizing the Output of datsteps() | Using ggplot2 | Using ggplot2 and ggridges | Using ggplot2 and facet_wrap() | How Does Datplot and Kernel Density Estimation Perform Compared to Histograms? | References
Rendered fromdata_preparation.Rmdusingknitr::rmarkdown

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

Density Plots for Dates
Why? | How? | How to Display a Range? | Scaling the Weight along Groups of Objects | Plots for the Distribution of Objects across Time | Including Histograms for an Impression of Quantity | Weights and Cumulative Weights | References
Rendered fromhow-to.Rmdusingknitr::rmarkdown

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