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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 |
DOI: | 10.32614/CRAN.package.autoplotly |
Author: | Yuan Tang [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 |
Reference manual: | autoplotly.pdf |
Vignettes: |
Introduction to autoplotly package |
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 |
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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.
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