This is a set of R workshops I taught. This was given as a hand out, I would give a bit of a preamble about why R is great, then I would explain what each bit of code does, finally people would type in and run the code themselves. In a class of ~30 we'd work through each lesson in about 1.5-2 hours. This left plenty of time to discuss and clarify things with people without having to rush.
I would really recommend typing in the commands yourself as you learn because it makes it easier to understand what you're doing and you get used to the kinds of typos that trip people up!
- When you are using the console you can use the up and down arrows to cycle through previous commands which you can then run by pressing enter.
- Using the console is fine for checking that things work but writing your code in a separate R script file makes it much much easier to organise.
- Rather than copying code from your script file to the console to run it,
press run to run the current line or selection of your script file. It's also
good to learn the keyboard shortcut for this
ctrl + R(windows),cmd + enter(mac)ctrl + enter(R studio).
Getting your data into R and editing it without going back into excel.
Using ggplot2 for customising plots to produce high quality images for publication.
Making the same types of figures but using base R instead of ggplot2. This is probably slightly more complicated
and you probably don't need to do both.
How to perform simple analyses in R and interpret the results. R can do more statistical tests than we could possibly cover but after this session you will be able to teach yourself whatever you need.
Example code for most of what is covered in these lessons.