CS and R Course for Analysts
This is a series of PowerPoint presentations and R Studio Notebooks originally created to help my fellow analysts at Washington State University's Elson S. Floyd College of Medicine learn R, beginning with computer and CS fundamentals, and then moving on to R-specific language features, data wrangling and some statistics and modeling.
References used in the development of these lessons include:
Paul D. Crutcher, Neeraj Kumar Singh, and Peter Tiegs: Essential Computer Science, A Programmer’s Guide to Foundational Concepts APress / Springer Nature, 2021 https://doi.org/10.1007/978-1-4842-7107-0
Garrett Grolemund: Hands On Programming in R O'Reilly and Associates, 2014 http://bit.ly/HandsOnR
Mahoney, M. (2019). Introduction to Data Exploration and Analysis with R. Bookdown.
Retrieved from https://bookdown.org/mikemahoney218/IDEAR/
Soetewey, A. (2022). Stats and R (Blog). https://statsandr.com/
Homer White: Beginning Computer Science with R Georgetown College https://homerhanumat.github.io/r-notes/index.html
Wickham, C., Jeon, T. & Cotton, R. (2021). String Manipulation with stringr in R; DataCamp https://app.datacamp.com/learn/courses/string-manipulation-with-stringr-in-r
and
Wickham, H. & Grolemund, G. (2017) R for Data Science, O'Reilly and Associates Freely accessible here: https://r4ds.had.co.nz/index.html