📆 2023
⏰ ??
🏢 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.
- June 01 - Basics of R/RStudio
- June 08 - Data import and wrangling part I
- June 15 - Data wrangling part II
- June 22 - Visualizations with
ggplot2
part I - June 22 - Visualizations with
ggplot2
part II - July 06 - Statistics part I
- July 13 - Statistics part II
- July 20 -
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.