While materials for the course still live here, they are best accessed via the course blog, IntroRangeR.org.
This is a public repository for my NDSU graduate seminar Introduction to R. Fork or bookmark for most of the most recent course materials (homework solutions excluded!).
Inspired by the Great Isolation of 2020, I've made several videos, which are available on YouTube, that go through each script as if we were in the classroom.
After working through this material, one should have a better-than-beginner proficiency in R for the purposes of data management, analysis, and presentation.
One won't learn to do everything one needs for a thesis or report, but one will have the foundation in R programming and operation so as to effectively seek help for the specific tasks one needs.
The course focuses on using the tidyverse for data manipulation, with the primary intent of helping users get their data out of spreadsheet programs and doing as much of their data management as possible in the R environment.
These materials assume one has R and RStudio installed on their computer. Both are freely available.
The initial commit was pretty much as the course was at the end of the first run, in spring 2018. 2020 has seen substantial reorganization and addition of content.