LibGuides: ANA600 v1: Module 2

Module 2 Required Resources

R for Data Science
Wickham, H., Çetinkaya-Rundel, M., and Grolemund, G. (n.d.). R for Data Science (2e digital ed.).

This book will teach how to import, transform, and visualize data and communicate results using R.

3 Data transformation – R for Data Science (2e) This section will explain the manipulation of data through grouping and filtering.
4 Workflow: code style – R for Data Science (2e) This section will involve the cleaning coding to better format code and make for easier update and debugging.
5 Data tidying – R for Data Science (2e) This section will cover installation of R and RStudio, as well as installation of the extension packages that will be used in the course.
8 Workflow: getting help – R for Data Science (2e) This section briefly covers obtaining more assistance with writing functions.