10 packages on CRAN
3 packages on GitHub
The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.
Geometric objects defined in 'geozoo' can be simulated or displayed in the R package 'tourr'.
Server implementation of 'GraphQL' <http://facebook.github.io/graphql/>, a query language created by Facebook for describing data requirements on complex application data models. Visit <http://graphql.org> to learn more about 'GraphQL'.
Better html documentation for R
Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Build a package documentation and function reference site and use it as the package vignette.
A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <http://bokeh.pydata.org/>.
Bindings to the 'libgraphqlparser' C++ library. Currently parses GraphQL and exports the AST in JSON format.
An R Markdown html document format that provides the ability to lazily load plot outputs as the user scrolls over them. This is useful for large R Markdown documents with many plots, as it allows for a fast initial page load and defers loading of individual graphics to the time that the user navigates near them.
An extension of Trellis Display that enables creation, organization, and interactive viewing of multi-panel displays created against potentially very large data sets. The dynamic viewer tiles panels of a display across the screen in a web browser and allows the user to interactively page through the panels and sort and filter them based on "cognostic" metrics computed for each panel. Panels can be created using many of R's plotting capabilities, including base R graphics, 'lattice', 'ggplot2', and many 'htmlwidgets'. Conditioning is handled through the 'datadr' package, which enables 'Trelliscope' displays with potentially millions of panels to be created against terabytes of data on systems like 'Hadoop'. While designed to scale, 'Trelliscope' displays can also be very useful for small data sets.
Produce publication quality graphics from output of GGobi's describe display plugin.
This is an R package as 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.
Trelliscope is a scalable, flexible, interactive approach to visualizing data. This package provides methods that make it easy to create a Trelliscope display specification for TrelliscopeJS. High-level functions are provided for creating displays from within dplyr or ggplot2 workflows. Low-level functions are also provided for creating new interfaces.