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An extension to ggplot2, for the creation of ternary diagrams.
ggtern is a package that extends the functionality of
ggplot2, giving the capability to plot ternary diagrams for (subset of)
the ggplot2 proto geometries. Ternary diagrams are used
frequently in a number of disciplines to graph compositional features
for mixtures of three different elements or compounds. It is possible to
represent a coordinate system having three (3) degrees of freedom, in 2D
space, since the third dimention is linear and depends only on the other
two.
ggtern is a package that is based on (extends) the very
popular ggplot2, which is an implementation of Wilkinsons
The Grammar of Graphics, and, makes provision for a highly methodical
construction process for the development of meaningful (graphical) data
representations. Of course, the above book by Wilkinson outlines the
theory, whilst Hadley Wickhams ggplot2 implementation is
where much of the magic happens, and, an ideal base-platform for
ggtern.
Install the latest release on CRAN, install just like any other R package:
install.packages('ggtern')
To install the development / working version, use the
devtools package:
devtools::install_git('https://bitbucket.org/nicholasehamilton/ggtern')
Please contribute push/pull requests via BitBucket repository. Financial contributions, where possible, are very much appreciated. Please navigate to the ggtern website if you are feeling generous…
Nicholas Hamilton [aut, cre]
This project is licensed under GPL2 - see the LICENSE for details.
Please cite ggtern via the following:
Hamilton NE and Ferry M (2018). “ggtern: Ternary Diagrams Using ggplot2.” Journal of Statistical Software, Code Snippets, 87(3), pp. 1-17. doi: 10.18637/jss.v087.c03 (URL:http://doi.org/10.18637/jss.v087.c03)
A bibtex entry can be obtained by executing the following command:
citation('ggtern')
HUGE thanks to Hadley Wickham and all those that have controbuted to the ggplot2 package, without which, this would not be possible.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.