Started grad school and somewhat new to R. what is a good workflow and best way to organize scripts?
Im in my first year of my masters and have all of my data now. Im doing wildlife biology and working with 20 years of GPS collar data (looking at movement/migration).
Im overwhelmed with where to start. I know the basics of R like uploading data, adding new columns, deleting columns, changing names... basic things like that.
But what is a typical workflow?
Data cleaning ---> data prep (getting your data set ready for models?) --> statically analysis/running models?
I guess I just get confused on the most efficient workflow.
What has yours been? How have you organized your scripts? Do you use R projects?
I guess im looking for any tips for someone who is in the beginning of their analysis and doesn't want to get stuck wasting time on things that can be quick to figure out.
Thank you!
Posted Jul 11, 2026, 2:33 PM UTC