Please join us for a free, 3-workshop series covering data cleaning, data manipulation in R, and an introduction to statistics in R.
Where and When
All workshops will be held remotely, via WebEx, on March 28th, 29th, and 30th
Workshop 1. Data preparation, cleaning & manipulation
Date: Monday, March 28th at 3:00PM (2 hours)
Details: Learn how to structure your data for statistical analysis in R (or any statistical software). Find out what to look out for when cleaning data prior to starting your statistical analysis. How should you label your columns? What is the best way to format dates? How should you indicate missing values? How can you create new variables from existing variables in your data frame? How can you subset your data?
Workshop 2. Statistical analysis in R I
Date: Tuesday, March 29th at 3:00PM (2 hours)
Details: We will discuss important considerations prior to starting statistical analyses. When is the time to start thinking about statistical analysis? What are some key misconceptions about p-values? We will also introduce some statistical techniques in R using the palmerpenguins data for our examples.
Workshop 3. Statistical analysis in R II
Date: Wednesday, March 30th at 3:00PM (2 hours)
Details: Learn how to implement commonly-used statistical procedures in R, including t-tests, ANOVA, linear regression, chi squared tests, and logistic regression.
Sign Up
Please sign up for workshops here: https://statsconsulting.uconn.edu/workshop-schedule/
Supporting files will be provided prior to the workshop, so please sign up soon!
Setting Up
Please ensure that you have R and Rstudio installed on your computer (see below). It is a good idea to install the WebEx application too (rather than relying on your browser).
Questions
Please contact timothy.e.moore@uconn.edu with any questions.
For more information, contact: Timothy E. Moore at timothy.e.moore@uconn.edu