📆 May 31 - July 19 2023

⏰ 3:00 - 4:00 pm

🏢 via Zoom

💻 Moffitt

The course will be hosted through Zoom with video recordings posted on Ponopto after. Links to recorded lectures will be emailed out after class.

All slides will be made available the day of the lecture with any live-coding notes posted after the lecture. All data used through out the course will be made available in the data folder. Quizzes can be found in the class Moodle.

Feel free to ask questions in the GitHub Issues.

This is an 8 week course designed to introduce future users to R and Rstudio. We will cover data cleaning using the tidyverse, creating visuals with ggplot, basic statistical analysis and writing documents with Rmarkdown. In the end you should be able to:

• import and manipulate data into different formats
• create new variables and recode existing ones
• plot data using the appropriate figure type
• perform basic statistics
• write Rmarkdown reports

Have you never written any code in R or any other programming language? Are you familiar with R, but hoping to bulk up your basic skills? Have you used R but are new to the tidyverse framework?

Materials will be made available on GitHub.
If you are using an organization-issued laptop, you may want to verify before you arrive that you can access GitHub.

• May 31 - Basics of R/RStudio
• June 07 - Data import and wrangling part I
• June 14 - Data wrangling part II
• June 21 - Visualizations with ggplot2 part I
• June 28 - Visualizations with ggplot2 part II
• July 05 - Statistics part I
• July 12 - Statistics part II
• July 19 - rmarkdown

This course is taught by members of Moffitt staff including Jordan Creed, a data scientist in the Department of Health Informatics, Zachary Thompson and Ram Thappa, biostatisticians in the Bioinformatics and Biostatistics Core.