Learn the basics of R, the free statistical program that is becoming one of the normative data analytic tools in many disciples on Wednesday, December 4 from 6:00 – 8:00 p.m. in Health Science 206.
The material will focus on applications rather than underlying math or programming and geared towards the individual who has never worked with R before, or is still getting comfortable with R and has taken one undergraduate-level statistics course. Ideally, individuals will come with a data set they want to work with, a question/hypothesis or two in mind about the data and some understanding of their discipline-specific best practices of how to approach the data.
6:00 – 6:30 p.m.
- Why we R (basics of best practices in transparency and open science, accessibility, etc.)
- Installing R and RStudio
- Installing packages
6:30 – 7:00 p.m.
- Importing data
- Preprocessing data
7:00 – 7:30 p.m.
- Descriptive statistics
- Inferential statistics
7:30 – 8:00 p.m.
- Useful tools for doing more (Google, RMarkdown, online tutorials and forums)
These topics will be covered in the context of the data individuals bring with them. There will be an introduction to how to do each topic with time to implement the task and troubleshooting.
The event is open to all. Please encourage students to attend!
Submitted by: Jennifer Lodi-Smith, interim assistant vice president, Academic Affairs; associate professor, Psychology