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. 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()
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 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. 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.
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