A 'ggplot2' based implementation of biplots, giving a representation of a dataset in
    a two dimensional space accounting for the greatest variance, together with variable vectors
    showing how the data variables relate to this space. It provides a 
    replacement for stats::biplot(), but with many enhancements to control the analysis and
    graphical display. It implements 
    biplot and scree plot methods which can be used with the results of prcomp(), princomp(),
    FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and can be customized using 'ggplot2' techniques.

Simplify 'ggplot2' visualisation with 'ggblanket' wrapper
    functions.

Algebra of operations for blending, copying, adjusting, and 
    compositing layers in 'ggplot2'. Supports copying and adjusting the 
    aesthetics or parameters of an existing layer, partitioning a layer 
    into multiple pieces for re-composition, applying affine transformations
    to layers, and combining layers (or partitions of layers) using blend modes
    (including commutative blend modes, like multiply and darken). Blend 
    mode support is particularly useful for creating plots with overlapping 
    groups where the layer drawing order does not change the output; 
    see Kindlmann and Scheidegger (2014) <doi:10.1109/TVCG.2014.2346325>.

A set of geometries to make line plots a little bit nicer. Use 
    along with 'ggplot2' to:
    - Improve the clarity of line plots with many overlapping lines
    - Draw more realistic worms.

Provides curly braces in 'ggplot2' plus matching text.
    stat_brace() plots braces partially in the confines of data so that the brace is set apart from it.
    stat_bracetext() plots corresponding text, fitting to the braces from stat_brace().

A 'ggplot2'-consistent approach to generating 2D displays of  volumetric brain imaging data.
  Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and
  themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects,
  inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.