# MATH 3070 (R Lab)

## Resources

### R Lab Lecture Notes

Below are lecture notes from the times I have taught the lab, intended to
accompany Chapters 1-9 of John Verzani's book
*Using R for Introductory Statistics (2nd ed.)*.
They come in two versions. One version (which was the original version) was
written for teaching the lab during an eight-week summer semester, and thus
comes in eight lectures; when this version was written, I taught both the
lab and the lecture sections of this class. The second version was written
when I taught only the lab section in a regular semester, and thus consists
of fourteen lectures. I split the original summer lectures for the
fourteen-week schedule, then added more lectures to further slow myself
down. I believe that a version of these notes (adapted by other lab
instructors in response to more student feedback than I have received) are
still being used by the lab instructors. In short, the second version for
regular semesters has more content than the first version.

The notes are available both online and as PDFs below.

### Other Resources

In the past I have taught both the lab and lecture sections of MATH 3070. See past teaching to see resources provided to past courses.

Prof. Andrejs Treibergs has taught MATH 3070 multiple times and has many R scripts and old exams, useful both for learning R and for preparing for quizzes/tests. Here is the material.

Dr. Hadley Wickham is one of the leading authorities in the R community,
having authored many of the best R packages and writing some of the best R
books. (RStudio is also a Hadley Wickham project.) You can read many of Dr.
Wickham's books online for free. Two books you may want to look at are
*R for Data Science* (a more
introductory book with an emphasis on tidyverse packages) and
*Advanced R* (obviously a more
advanced book).

I blog about R and statistics regularly on my WordPress.com website. You can follow the R and Statistics and Data Science feeds for that material. I've also described techniques and resources for learning more about programming in this blog post.

All of the notes made available on this page were written using
R Markdown
and **bookdown**. The source documents for these materials are available in
this archive.

This work is licensed under a Creative
Commons Attribution-NonCommercial 4.0 International License.