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.

Transform model coefficients into flexible forest
    plots using 'ggplot2'. Provides helpers to standardize
    coefficient data from a range of modelling workflows and render
    publication-ready forest plots with a consistent interface.

Provides a formula interface to 'ggplot2' graphics.

Unified plotting tools for statistics commonly used, such as GLM,
    time series, PCA families, clustering and survival analysis. The package offers
    a single plotting interface for these analysis results and plots in a unified
    style using 'ggplot2'.

A 'ggplot2' extension that supports arbitrary 
    hand-crafted colourable & fillable shapes. New shapes may be feature 
    requested via a Github issue.

Provides a collection of 'ggplot2' extensions and utilities
  for creating geometric layers, applying themes, working with legends,
  and modifying plot objects.

Provides a range of filters that can be applied to layers from the
    'ggplot2' package and its extensions, along with other graphic elements such
    as guides and theme elements. The filters are applied at render time and
    thus uses the exact pixel dimensions needed.

The function gggap() streamlines the creation of segments on
    the y-axis of 'ggplot2' plots which is otherwise not a trivial task to
    accomplish.

A variety of multivariable data summary statistics and 
    constructions have been proposed, either to generalize univariable analogs 
    or to exploit multivariable properties.
    Notable among these are the bivariate peelings surveyed by Green 
    (1981, ISBN:978-0-471-28039-2),
    the bag-and-bolster plots proposed by Rousseeuw &al (1999) 
    <doi:10.1080/00031305.1999.10474494>, and the minimum spanning trees used by
    Jolliffe (2002) <doi:10.1007/b98835> to represent high-dimensional 
    relationships among data in a low-dimensional plot.
    Additionally, biplots of singular value--decomposed tabular data, such as
    from principal components analysis, make use of vectors, calibrated axes,
    and other representations of variable elements to complement point markers
    for case elements; see Gabriel (1971) <doi:10.1093/biomet/58.3.453> and
    Gower & Harding (1988) <doi:10.1093/biomet/75.3.445> for original proposals.
    Because they treat the abscissa and ordinate as commensurate or the data
    elements themselves as point masses or unit vectors, these multivariable
    tools can be thought of as belonging to geometric data analysis; see Podani
    (2000, ISBN:90-5782-067-6) for techniques and applications and Le Roux &
    Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations. 'gggda' extends
    Wickham's (2010) <doi:10.1198/jcgs.2009.07098> layered grammar of graphics
    with statistical transformation ("stat") and geometric construction ("geom")
    layers for many of these tools, as well as convenience coordinate systems
    to emphasize intrinsic geometry of the data.