R Interface for Bokeh

A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library < https://bokeh.pydata.org/>.


R-CMD-check

codecov.io CRAN

rbokeh

A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library.

Install

# from CRAN:
install.packages("rbokeh")

# from github:
remotes::install_github("bokeh/rbokeh")

Use

Please see here.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("rbokeh")

0.5.2 by Ryan Hafen, 5 years ago


https://hafen.github.io/rbokeh/ https://github.com/bokeh/rbokeh


Report a bug at https://github.com/bokeh/rbokeh/issues


Browse source code at https://github.com/cran/rbokeh


Authors: Ryan Hafen [aut, cre] , Kenton Russell [ctb] , Jonathan Owen [ctb] , Barret Schloerke [ctb] , Saptasrhi Guha [ctb] , Continuum Analytics , Inc. [aut, cph] (Bokeh library in htmlwidgets/lib , https://bokeh.pydata.org)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports htmlwidgets, maps, methods, jsonlite, digest, hexbin, lazyeval, pryr, magrittr, scales, gistr

Suggests testthat, data.table, lattice, lintr, roxygen2, latticeExtra, knitr, rmarkdown, markdown

Enhances shiny


See at CRAN