Extension of 'ggplot2' providing layers, scales and preprocessing functions
    useful to represent behavioural variables that are recorded over multiple animals and days.
    This package is part of the 'rethomics' framework <https://rethomics.github.io/>.

Collection of functions and layers to enhance 'ggplot2'. The 
    flagship function is 'ggMarginal()', which can be used to add marginal
    histograms/boxplots/density plots to 'ggplot2' scatterplots.

Readable, complete and pretty graphs for correspondence analysis made 
    with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful
    informations at mouse hover. The interest is not mainly visual but statistical:
    it helps the reader to keep in mind the data contained in the cross-table or Burt
    table while reading the correspondence analysis, thus preventing over-interpretation.
    Most graphs are made with 'ggplot2', which means that you can use the + syntax to 
    manually add as many graphical pieces you want, or change theme elements. 3D 
    graphs are made with 'plotly'.

Add vector field layers to ggplots. Ideal for visualising
    wind speeds, water currents, electric/magnetic fields, etc.
    Accepts data.frames, simple features (sf), and spatiotemporal arrays (stars)
    objects as input. Vector fields are depicted as arrows starting at specified
    locations, and with specified angles and radii.

When you prepare a presentation or a report, you often need to manage a large number of 'ggplot' figures. You need to change the figure size, modify the title, label, themes, etc. It is inconvenient to go back to the original code to make these changes. This package provides a simple way to manage 'ggplot' figures. You can easily add the figure to the database and update them later using CLI (command line interface) or GUI (graphical user interface).

Contains functions to create life history parameter plots from raw data. 
	The plots are created using 'ggplot2', and calculations done using the 'tidyverse'
	collection of packages. The package contains references to FishBase 
	(Froese R., Pauly D., 2023) <https://www.fishbase.se/>.