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://plot.ly/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.1) |
| Imports: | methods, ggplot2, plotly, ggfortify |
| Suggests: | testthat, knitr |
| Published: | 2018-04-21 |
| Author: | Yuan Tang |
| 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_0.1.2.tar.gz |
| Windows binaries: | r-devel: autoplotly_0.1.2.zip, r-release: autoplotly_0.1.2.zip, r-oldrel: autoplotly_0.1.2.zip |
| macOS binaries: | r-release: autoplotly_0.1.2.tgz, r-oldrel: autoplotly_0.1.2.tgz |
| Old sources: | autoplotly archive |
Please use the canonical form https://CRAN.R-project.org/package=autoplotly to link to this page.