The R package cranvas aims to be the next generation of GGobi, a software package for interactive and dynamic statistical graphics. It includes most of features in GGobi such as brushing, zooming, panning, identifying and linking, as well as common types of statistical graphics, e.g., bar plot, scatter plot, boxplot, histogram, density plot, spine plot, parallel coordinates plot, mosaic plot, maps, missing value plot, time series plot, tour, scatter plot matrix, hexagons and tiles (color images), etc. Based on the support of several other packages, cranvas aims for speed (from Qt) and flexibility (from R), with the style and design borrowed from ggplot2.

Below is a quick introduction to some common interactions in cranvas:

If you have any questions or comments, please post to the mailing list cranvas@googlegroups.com or Github repo.