Create hexagonal heatmaps with 'ggplot2',
    using the 'size' aesthetic to variably size each hexagon.

Make it easier to explore data with highlights.

A set of functions that help to create plots based on Hilbert curves. 
    Hilbert curves are used to map one dimensional data into the 2D plane.
    The package provides a function that generate a 2D coordinate from an 
    integer position. As a specific use case the package provides a function 
    that allows mapping a character column in a data frame into 2D space 
    using 'ggplot2'. This allows visually comparing long lists of URLs, words,
    genes or other data that has a fixed order and position.

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.

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.