Accelerating 'ggplot2'
Split facet_grid over multiple plots
Facet by different data columns
One-dimensional facets
Create a stereogram plot
Split facet_wrap over multiple plots
Facet data for zoom with context
Tidy data for use with geom_parallel_sets
Arcs based on radius and radians
Arcs and wedges as polygons
A distribution geoms that fills the panel and works with discrete and ...
A point geom specialised for scatterplot matrices
Create quadratic or cubic bezier curves
B-splines based on control points
Create closed b-spline shapes
Circles based on center and radius
Voronoi tesselation and delaunay triangulation
Draw horizontal diagonals
Draw an area defined by an upper and lower diagonal
Draw (super)ellipses based on the coordinate system scale
Link points with paths
Annotate areas with circles
Annotate areas with ellipses
Annotate areas with hulls
Annotate areas with rectangles
Create Parallel Sets diagrams
Draw regular polygons by specifying number of sides
Draw polygons with expansion/contraction and/or rounded corners
Sina plot
Draw spirograms based on the radii of the different "wheels" involved
ggforce extensions to ggplot2
ggforce: Accelerating 'ggplot2'
Interpolate layer data
A labeller function to parse TeX syntax
Create a custom linear transformation
Determine the number of pages in a paginated facet plot
Jitter based on scale types
Jitter points with normally distributed random noise
Create a power transformation object
Create radial data in a cartesian coordinate system
Scales for depth perception
Position scales for units data
Intervals in vertical and horizontal directions
Theme without axes and gridlines
Reverse a transformation
The aim of 'ggplot2' is to aid in visual data investigations. This focus has led to a lack of facilities for composing specialised plots. 'ggforce' aims to be a collection of mainly new stats and geoms that fills this gap. All additional functionality is aimed to come through the official extension system so using 'ggforce' should be a stable experience.
Useful links