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Three.js and R

Three.js widgets for R and shiny. The package includes

  • graphjs: an interactive network visualization widget
  • scatterplot3js: a 3-d scatterplot widget similar to, but more limited than, the scatterplot3d function
  • globejs: a somewhat silly widget that plots data and images on a 3-d globe

The widgets are easy to use and render directly in RStudio, in R markdown, in Shiny applications, and from command-line R via a web browser. They produce high-quality interactive visualizations with just a few lines of R code.

Visualizations optionally use accelerated WebGL graphics, falling back to non-accelerated graphics for systems without WebGL when possible.

See for details on three.js.

See for R examples.

This project is based on the htmlwidgets package. See for details and links to many other visualization widgets for R.

New in version 0.3.0 (June, 2017)

The new 0.3.0 package version introduces major changes. The scatterplot3js() function generally works as before but with more capabilities. The graphjs() function is very different with a new API more closely tied to the igraph package.

The threejs package now depends on igraph. If you're doing serious network analysis, you're probably already using igraph (or you should be). Threejs now uses external graph layouts (either from igraph or elsewhere). This gives much greater graph layout flexibility, something I was looking for, but also removes the cute (but slow and crude) force-directed JavaScript animation previously used. To partially make up for that, several new graph animation and interaction schemes are newly available.

See and for short tutorials on the new graph animation capabilities.

Performance of graphjs() is generally much improved using extensive buffering and custom WebGL shaders where needed. See for an example.

Summary of changes

The scatterplot3js() function was substantially improved and updated.

  • The new pch option supports many point styles with size control.
  • Interactive rotation and zooming are greatly improved and panning is now supported: press and hold the right mouse button (or touch equivalent) and move the mouse to pan.
  • Mouse over labels are supported in WebGL renderings.
  • The points3d() interface has changed to support pipelining.
  • Lines are supported too, see lines3d().
  • Support for crosstalk selection handles (see demo("crosstalk", package="threejs")).
  • Set the experimental use.orbitcontrols=TRUE option for more CPU-efficient (but less fluid) rendering (good for laptops), also applies to graphjs().

The graphjs() function is completely new.

  • Greater variety of WebGL vertex rendering ("pch") options, including spheres and much higher-performance options for large graphs.
  • Graph layout is now external; for instance use one of the many superb igraph package graph layout options.
  • Graph animation is supported, see the examples.
  • Interactive (click-able) graph animation is supported, see demo(package="threejs") for examples.
  • Limited brushing is available to highlight portions of the graph, see the brush=TRUE option.
  • Support for crosstalk selection handles.

Known issues

  • RStudio on Windows systems may not be able to render the WebGL graphics emitted by threejs. RStudio users running on Windows systems may need to use the plot "pop out" button to see visualizations in an external browser. We expect this to be a temporary problem until the underlying graphics rendering system used by RStudio is updated later in 2017.
  • The fallback Canvas rendering code has diverged too much from the baseline WebGL code and no longer works. We have temporarily disabled Canvas rendering with an error message. See for details.
  • Crosstalk filter handles are used in a non-standard and experimental way to control graph animation. Don't rely on this experimental feature.


Use the devtools package to install threejs directly from GitHub on any R platform (Mac, Windows, Linux, ...). You'll need the 'devtools' package.

if(!require("devtools")) install.packages("devtools")


See ?scatterplot3d for more examples and detailed help.

z <- seq(-10, 10, 0.1)
x <- cos(z)
y <- sin(z)
scatterplot3js(x, y, z, color=rainbow(length(z)))

The following example plots an undirected graph with 4039 vertices and 88234 edges from the Stanford SNAP network repository

graphjs(ego, bg="black")

The next example illustrates the globe widget by plotting the relative population of some cities using data from the R maps package on a globe. It's based on the JavaScript WebGL Globe Toolkit ( by the Google Creative Lab Data Arts Team.

runApp(system.file("examples/globe", package="threejs"))

For detailed help on the widgets and additional examples, see



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