Make it easier to explore data with highlights.

Provides a 'ggplot2' extension for drawing Hinton diagrams,
    a visualisation technique for numerical matrices in which the area of
    each square is proportional to the magnitude of the corresponding entry.
    For signed data, white squares indicate positive values and black squares
    indicate negative values on a grey background. Hinton diagrams are
    especially useful for visualising PCA weight matrices, correlation matrices, 
    and transition matrices.

Wrapper around geom_histogram() of 'ggplot2' to plot the histogram of a numeric vector. This is especially useful, since qplot() was deprecated in 'ggplot2' 3.4.0.

A user-friendly, highly customizable R package for building
    horizon plots in the 'ggplot2' environment.

Splits date and time of day components from
    continuous 'datetime' objects, then plots them using grammar
    of graphics ('ggplot2'). Plots can also be decorated with
    solar cycle information (e.g., sunset, sunrise, etc.).
    This is useful for visualising data that are associated with
    the solar cycle.

Supports image files and graphic objects to be visualized in
    'ggplot2' graphic system.

Provides two new layer types for displaying image data as layers
  within the Grammar of Graphics framework. Displays images using either a
  rectangle interface, with a fixed bounding box, or a point interface using a
  central point and general size parameter. Images can be given as local
  JPEG or PNG files, external resources, or as a list column containing
  raster image data.

Provide specialized 'ggplot2' layers and scales for spatial
    uncertainty visualization, including bivariate choropleth maps, pixel maps,
    glyph maps, and exceedance probability maps.

Visualise the results of F test to compare two variances, Student's t-test, test of equal or given proportions, Pearson's chi-squared test for count data and test for association/correlation between paired samples.

Extensions to 'ggplot2' providing low-level debug tools: statistics
    and geometries echoing their data argument. Layer manipulation: deletion,
    insertion, extraction and reordering of layers. Deletion of unused variables
    from the data object embedded in "ggplot" objects.