Advanced R for Data Analysis
University of Utah
Registration: Use the following link to sign up for this workshop.
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General Information
What: This workshop will build upon the foundations covered in the Introduction to R workshop, and will introduce more advanced tools, including creating your own custom functions, iterating with purrr map functions, advanced data manipulations with dplyr, and reshaping and joining datasets in R.
Who: The course is aimed at graduate students, postdocs, staff, faculty, and other researchers across campus who are interested in taking their R skills to the next level to learn how to conduct more sophisticated data manipulations and analysis.
Participants in this workshop should already be comfortable working in Quarto (or R Markdown) documents in RStudio, and have basic knowledge of the the R programming language and the tidyverse, including the dplyr select, filter, mutate, and summarize functions, as well as creating basic visualizations using ggplot2.
Requirements: Participants must bring a laptop onto which they can download R and Rstudio (and you should do so before the workshop).
Contact: Please email andrew.george@hsc.utah.edu or rebecca.barter@hsc.utah.edu for more information.
Posit Cloud
Download files and data
If you are working in RStudio locally (rather than using posit cloud, above) click here to download all of the complete and incomplete .qmd files and data files we will be using throughout the workshop.
Schedule
Note that the schedule below serves as a guideline. The start, end, and break times are fixed, but timing for each topics covered may vary as we may go faster or slower through the content.
| Time | Topic |
|---|---|
| 9:00 | Introduction and Setup |
| 9:30 | Writing Functions |
| 10:30 | [Break] |
| 10:45 | Iteration with Purrr |
| 12:00 | [Lunch] |
| 1:00 | Across() |
| 1:45 | Recoding variables |
| 2:30 | [Break] |
| 2:45 | Reshaping Data |
| 3:15 | Joining Data |
| 4:00 | [End] |