An (aspirational) collection of additional geometries and 
    statistics for 'ggplot2'.

Provides basic graphing functions to fully demonstrate
    point-to-point connections in a polar coordinate space.

Tools for working with polygons with holes in 'ggplot2', with a
    new 'geom' for drawing a 'polypath' applying the 'evenodd' or 'winding'
    rules.

Extensions to 'ggplot2' respecting the grammar of graphics 
    paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to 
    plots using native data coordinates, while geom_table_npc(), geom_plot_npc()
    and geom_grob_npc() do the same using "npc" coordinates through new 
    aesthetics "npcx" and "npcy". Statistics: select observations based on 2D 
    density. Positions: radial nudging away from a center point and nudging away
    from a line or curve; combined stacking and nudging; combined dodging and
    nudging.

Provides various themes, palettes, and other functions
    that are used to customise ggplots to look like they were made in 'GraphPad 
    Prism'. The 'Prism'-look is achieved with theme_prism() and 
    scale_fill|colour_prism(), axes can be changed with custom guides like 
    guide_prism_minor(), and significance indicators added with add_pvalue().

The 'ggplot2' package is excellent and flexible for elegant data
    visualization in R. However the default generated plots requires some formatting
    before we can send them for publication. Furthermore, to customize a 'ggplot',
    the syntax is opaque and this raises the level of difficulty for researchers
    with no advanced R programming skills. 'ggpubr' provides some easy-to-use
    functions for creating and customizing 'ggplot2'- based publication ready plots.

Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups, 
    and adds the resulting p-values to the plot with an annotation bar.
    Visualizing group differences are frequently performed by boxplots, bar plots, etc.
    Statistical test results are often needed to be annotated on these plots. 
    This package provides a convenient function that works on 'ggplot2' objects, 
    performs the desired statistical test between groups of interest and annotates the test results on the plot.