The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

autoplotly: Automatic Generation of Interactive Visualizations for Statistical Results

Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.

Version: 0.1.4
Depends: R (≥ 3.1)
Imports: methods, ggplot2, plotly, ggfortify
Suggests: testthat, knitr, markdown
Published: 2021-04-18
Author: Yuan Tang ORCID iD [aut, cre]
Maintainer: Yuan Tang <terrytangyuan at gmail.com>
BugReports: https://github.com/terrytangyuan/autoplotly/issues
License: GPL-2
URL: https://github.com/terrytangyuan/autoplotly
NeedsCompilation: no
Citation: autoplotly citation info
Materials: NEWS
CRAN checks: autoplotly results

Documentation:

Reference manual: autoplotly.pdf
Vignettes: Introduction to autoplotly package

Downloads:

Package source: autoplotly_0.1.4.tar.gz
Windows binaries: r-devel: autoplotly_0.1.4.zip, r-release: autoplotly_0.1.4.zip, r-oldrel: autoplotly_0.1.4.zip
macOS binaries: r-release (arm64): autoplotly_0.1.4.tgz, r-oldrel (arm64): autoplotly_0.1.4.tgz, r-release (x86_64): autoplotly_0.1.4.tgz, r-oldrel (x86_64): autoplotly_0.1.4.tgz
Old sources: autoplotly archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=autoplotly to link to this page.

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.
Health stats visible at Monitor.