R Lectures

This is the homepage for the links to all of the R lectures. Look for this on the main page under Statistics.

Each lecture is followed by a difficulty number, higher means more work on your part. The progression of difficulty will be, more or less, straightforward, but there will be occasional departures for subjects that strike my fancy.

All videos are on YouTube under the username “mattstat” (wmbriggs was taken). That service imposes a ten-minute limit of videos. Accordingly, lectures are short.

All questions to matt@wmbriggs.com.

1. Installing R [1] Where to find it, packages, the all-important documentation.
2. Prepping a folder [2] R is a command line language: we need to set up a file to save these commands.
3. Our First Program! [2] We do some simple math and examine what R output looks like.
4. Help & Plotting [2] How to find functions, get help on them, and simple plotting.
5. Reading Built-in Data [2] Built-in datasets, help on them, summary statistics and plotting.
6. Reading External Data Part I [5] Downloading datasets, paths, and the read.csv() function.
7. Reading External Data Part II [6] Common typos & errors, the na.strings argument to read.csv().