1.19 Be a lifelong R learner

It is not possible in this text to cover all of R’s features or every tip and trick and solution to situations you may encounter. Make it a habit from this point forward throughout your career to continually learn R on your own and keep track of what you have learned. For example, you could create an R Script called “My R Programming Tips” where you can paste useful pieces of code (with comments!) for future reference.

Also, if you have a question about using R for any circumstance, chances are someone else has asked that question and (hopefully) someone has answered it. You can do an internet search for “R how do I …” and it will lead you to various question and answer repositories, such as Stack Overflow (or you can go directly to that site and search there).

If you want to learn even more about R, the following resources are a useful starting point.

References

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd ed. O’Reilly Media.