Open Source: The raw (.Rmd) code used to produce this guide, along with the guide itself, are available on GitHub, and are updated regularly. GitHub does not automatically render HTML, so download the HTML file and open it, or view it where I host it on my website.
Note to Students: This is a work in progress, check the date at the top for when this was last updated. This compiles all of my instructions, advice, and examples from econometrics class lectures regarding R. It also contains some advanced material that I did not or will not cover in class, but will be useful to know for future data analysis and understanding or diagnosing problems.
Note to Everyone Else: This guide is oriented primarily for my Econometrics class at Hood College, but should be of wider use to anyone interested in learning R for data analysis. Lecture slides, handouts, and guides (both PDFs and source code in R Markdown) are openly available on GitHub.
See also my companion guide to using R Markdown to more effectively manage your entire workflow (text, data analysis, tables, graphs, and citations!) in a single plain text file and make your work reproducible and shareable, hosted on my website, with source available on GitHub