Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Version: | 1.27.6-1 |
Depends: | R (≥ 3.5.0) |
Imports: | htmlwidgets (≥ 0.8), httr, stats |
Suggests: | shiny (≥ 1.0), knitr, rmarkdown, testthat, covr, webshot, png, grid, limma, glue, dplyr, tibble, tidyr |
Published: | 2020-04-11 |
Author: | Isaac Neuhaus [aut], Connie Brett [aut, cre] |
Maintainer: | Connie Brett <connie at aggregate-genius.com> |
BugReports: | https://github.com/neuhausi/canvasXpress/issues |
License: | GPL-3 |
URL: | https://github.com/neuhausi/canvasXpress.git |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | canvasXpress results |
Reference manual: | canvasXpress.pdf |
Vignettes: |
Additional Examples for canvasXpress in R Getting Started with canvasXpress in R |
Package source: | canvasXpress_1.27.6-1.tar.gz |
Windows binaries: | r-devel: canvasXpress_1.27.6-1.zip, r-release: canvasXpress_1.27.6-1.zip, r-oldrel: canvasXpress_1.27.6-1.zip |
macOS binaries: | r-release: canvasXpress_1.27.6-1.tgz, r-oldrel: canvasXpress_1.27.6-1.tgz |
Old sources: | canvasXpress archive |
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