Get familiar with ggplot

[VCF]

R has "built-in" plotting capabilities via plot and some other methods. However, they're considered fairly rudimentary, and are usually used to quickly glance at your data. For publication-quality graphics there's a great package called ggplot2. It can be confusing at first, but it's not too bad once you get over the initially weird syntax.

This is a good introduction to the package. Try out the examples, and then see if you can adapt your data to what you've learned.

• Focus on scatter plots for the moment, we'll deal with your interest in radar plots later
• Don't worry about formatting - we can get to that later, too.
• Note that the examples use sample data sets that come with R (like midwest)
• ggplot has mechanisms that let you easily integrate "fits" to your data - these are the geom_smooth() components you'll see in the examples. These can be very valuable in highlighting trends or relationships.
• As you work with your data, keep an eye out both for interesting patterns, and patterns that you thought you'd see but did not. Negative observations can be as important as positive ones!

[cherrypi]

My terminal claims it can't find the ggplot2 package:

Error in library(ggplot2) : there is no package called ‘ggplot2’

[cherrypi]

Otherwise, I think I'm pretty much good.

[VCF]

That means you haven't installed it yet. Try:

install.packages("ggplot2")
## And remember to use any package, your code should pull it in with library, which
## is generally put at the top of your code.
library("ggplot2")

[VCF]

You have a typo in 5393e8a - look at the error that's being thrown to get a hint of where it is.

[VCF]

Ok, good, fixed in ce5c87d. It looks like you have a good grasp of basic plotting!