Package index
Shapes
Shapes are, in essence, anything with volume. These geoms allow you to draw differnt types of parameterised shapes, all taking advantage of the benefit of the geom_shape
improvements to geom_polygon
.
-
geom_shape()
- Draw polygons with expansion/contraction and/or rounded corners
-
stat_circle()
geom_circle()
- Circles based on center and radius
-
stat_ellip()
geom_ellipse()
- Draw (super)ellipses based on the coordinate system scale
-
stat_regon()
geom_regon()
- Draw regular polygons by specifying number of sides
-
stat_arc_bar()
stat_pie()
geom_arc_bar()
- Arcs and wedges as polygons
-
stat_bspline_closed()
geom_bspline_closed()
geom_bspline_closed0()
- Create closed b-spline shapes
-
stat_diagonal_wide()
geom_diagonal_wide()
- Draw an area defined by an upper and lower diagonal
-
stat_parallel_sets()
geom_parallel_sets()
stat_parallel_sets_axes()
geom_parallel_sets_axes()
geom_parallel_sets_labels()
- Create Parallel Sets diagrams
-
geom_voronoi_tile()
geom_voronoi_segment()
geom_delaunay_tile()
geom_delaunay_segment()
geom_delaunay_segment2()
stat_delvor_summary()
- Voronoi tesselation and delaunay triangulation
Lines
The different line geoms are all parameterised versions of different line types, greatly easing your pain when needing a special type of stroke. Many of them have several versions depending on whether you want to show gradients along the lines, interpolate between endpoint aesthetics, or simply have a barebone version.
-
stat_link()
stat_link2()
geom_link()
geom_link2()
geom_link0()
- Link points with paths
-
stat_arc()
geom_arc()
stat_arc2()
geom_arc2()
stat_arc0()
geom_arc0()
- Arcs based on radius and radians
-
stat_bezier()
geom_bezier()
stat_bezier2()
geom_bezier2()
stat_bezier0()
geom_bezier0()
- Create quadratic or cubic bezier curves
-
stat_bspline()
geom_bspline()
stat_bspline2()
geom_bspline2()
stat_bspline0()
geom_bspline0()
- B-splines based on control points
-
stat_diagonal()
geom_diagonal()
stat_diagonal2()
geom_diagonal2()
stat_diagonal0()
geom_diagonal0()
- Draw horizontal diagonals
-
stat_spiro()
geom_spiro()
- Draw spirograms based on the radii of the different "wheels" involved
-
geom_voronoi_tile()
geom_voronoi_segment()
geom_delaunay_tile()
geom_delaunay_segment()
geom_delaunay_segment2()
stat_delvor_summary()
- Voronoi tesselation and delaunay triangulation
Annotation
Annotation is important for storytelling, and ggforce provides a family of geoms that makes it easy to draw attention to, and describe, features of the plot. They all work in the same way, but differ in the way they enclose the area you want to draw attention to.
-
geom_mark_rect()
- Annotate areas with rectangles
-
geom_mark_circle()
- Annotate areas with circles
-
geom_mark_ellipse()
- Annotate areas with ellipses
-
geom_mark_hull()
- Annotate areas with hulls
Facets
Facets are one of the greatest things in ggplot2, and ggforce comes with more of the awesomeness, both with variants of facet_grid
and facet_wrap
, as well as completely new takes on faceting.
-
facet_matrix()
- Facet by different data columns
-
facet_zoom()
- Facet data for zoom with context
-
facet_row()
facet_col()
- One-dimensional facets
-
facet_wrap_paginate()
- Split facet_wrap over multiple plots
-
facet_grid_paginate()
- Split facet_grid over multiple plots
-
facet_stereo()
- Create a stereogram plot
Scales
While separate packages comes with different palettes for already established scales, ggforce provides two completely new ones.
-
scale_x_unit()
scale_y_unit()
deprecated - Position scales for units data
-
scale_depth()
scale_depth_continuous()
scale_depth_discrete()
- Scales for depth perception
Transformations
Transformations can both be used to transform scales and coordinate systems but can also be used more broadly for describing specific types of spatial transformation of data.
-
trans_reverser()
- Reverse a transformation
-
power_trans()
- Create a power transformation object
-
radial_trans()
- Create radial data in a cartesian coordinate system
-
linear_trans()
rotate()
stretch()
shear()
translate()
reflect()
- Create a custom linear transformation
Misc
ggforce contains an assortment of various stuff that doesn’t fit into a bigger bucket. That doesn’t make it any less useful.
-
stat_sina()
geom_sina()
- Sina plot
-
geom_autopoint()
- A point geom specialised for scatterplot matrices
-
geom_autodensity()
geom_autohistogram()
- A distribution geoms that fills the panel and works with discrete and continuous data
-
label_tex()
- A labeller function to parse TeX syntax
-
stat_err()
- Intervals in vertical and horizontal directions
-
position_auto()
- Jitter based on scale types
-
position_jitternormal()
- Jitter points with normally distributed random noise
-
gather_set_data()
- Tidy data for use with geom_parallel_sets
-
n_pages()
- Determine the number of pages in a paginated facet plot
-
theme_no_axes()
- Theme without axes and gridlines
-
ggforce
ggforce-package
- ggforce: Accelerating 'ggplot2'
-
GeomShape
StatArcBar
StatPie
GeomArcBar
StatArc
GeomArc
StatArc2
StatArc0
GeomArc0
StatAutodensity
GeomAutoarea
StatAutobin
GeomAutorect
StatBezier
StatBezier2
StatBezier0
GeomBezier0
StatBspline
StatBspline2
GeomBspline0
GeomBsplineClosed0
StatCircle
GeomCircle
StatDiagonal
StatDiagonal2
StatDiagonal0
StatDiagonalWide
StatEllip
StatErr
FacetGridPaginate
FacetMatrix
FacetRow
FacetCol
FacetStereo
FacetWrapPaginate
FacetZoom
ggforce-extensions
GeomPathInterpolate
StatLink
StatLink2
GeomMarkCircle
GeomMarkEllipse
GeomMarkHull
GeomMarkRect
StatParallelSets
StatParallelSetsAxes
GeomParallelSetsAxes
PositionJitterNormal
PositionAuto
PositionFloatstack
StatRegon
StatSina
StatSpiro
StatVoronoiTile
StatVoronoiSegment
StatDelaunayTile
StatDelaunaySegment
StatDelaunaySegment2
StatDelvorSummary
- ggforce extensions to ggplot2