Summary and conclusion

Day 4, B

Michael C Sachs

What did we learn?

Project organization

• Setting up your project structure
• Documentation and readme
• Working directories and file paths

Basic programming principles

• Data structures
• Loops and conditionals
• Functions, classes, generics

Working with data

• Tidying
• Reshaping
• Merging
• Dealing with dates and strings
• Visualization

Conclusion

Where to go from here?

1. Research project management and reproducibility
   • targets package
   • project templates
   • git and/or github
2. R package development
   • Great way to share code, data, and documentation
   • Packages for personal and internal use
3. High performance computing
   • Parallelization, using computing servers
   • Using C/C++ (or other languages) in R
4. Visualization and interactivity
   • shiny package
   • Dynamic documents and graphics
   • ggplot2 custom Geoms and Stats

How to get help?

• Keep learning on your own, remember that things change
• Use the linked resources to get some background
• CRAN task views, help files, vignettes
• Google “how do I do x in R”, or the exact error message
• Stackoverflow, Rstudio forums, R mailing lists

Feedback

Course feedback

1. What did you like about the course?
2. What did you dislike about the course?
3. Did you knowledge about R programming improve during the course?
4. Are there topics you wanted to be covered but were not?

Office hours

Book a time

To ask about R, get help on the exam, or anything else

My office is 10.2.25