Thu US has a two party dominant system with several minor parties that regularly contest elections. In the next tutorial I will discuss generating a more elaborate ternary diagram using polling data from the current U.S. There are a large number of additions, modifications and tweaks that can be done to this basic pattern.
![plot ternary diagram plot ternary diagram](https://miro.medium.com/max/1264/1*kk3OjxGMnNCrHrT4s6vgVQ.png)
The triangular representation of the dimensions Xa →Xb, Xc → Xa and Xb →Xc allow each case to be represented as a single point located relative to each of the three vectors. Ggtern(data=sampfile, aes(x=Xa,y=Xb, z=Xc)) + geom_point()
#Plot ternary diagram code
To produce a very basic ternary diagram with the above data set use the code segment : The number that are entered do not matter for purposes of this illustration. This will open up a data entry sheet with three columns labeled Xa, Xb, and Xc. Sampfile
![plot ternary diagram plot ternary diagram](https://datavizcatalogue.com/blog/wp-content/uploads/2018/03/ternary-graphs-images-02.png)
Please also note the you will need a recent version of R that is version 3.1.x or newer. Before discussing the current election campaign I am going to refresh your memory relative to using the ggtern package.īefore running the script in this tutorial make sure that the packages ggplot, ggplot2, and ggtern are loaded into your R environment. In this tutorial I will discuss using the same technique as applied to recent polling data from the ongoing 2016 U.S.
![plot ternary diagram plot ternary diagram](https://www.researchgate.net/profile/Chang-Chun-Zou/publication/324824668/figure/fig4/AS:624609229549568@1525929853736/Ternary-plot-for-the-classification-of-lithology-in-the-Qingshankou-Formation-from.png)
This type of plot creates a very nice visual of the effects of a third party on the election outcome. In a subsequent tutorial I discussed the application by creating a ternary graph using election results from the British House of Commons from the last half of the 20 th century. In previous tutorials I have discussed the basics of creating a ternary plot using the ggtern package using a simple hypothetical data frame containing five values.