I get a lot of questions about the plots in my conference talks, and I’ve been promissing a post about them, so here’s a first shot. I love plotting, and have recently gotten especially into ggplot2 and some of it’s many options and add-ons. I’ll also include some stats here, to show how to plot the results of of linear mixed model. A hypothetical hypothesis Let’s say that I want to know: How does DJL (day journey length, see the intro of this post if you want more info about what this means) change over the course of a female orangutan’s development?

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When I first discovered colour scales, and started to move away from the simple R base graphics col = "red" style of notation, it took me a while to figure out how to actually use a colour scale in R - how to break it up into distinct colours and tell a plotting function which colour to use for what. When I get stuck on something, I often make a note of it, thinking that once I figure it out, it might be worth a blog post… so here we are.

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