This workshop is a gentle introduction to performing basic data analysis and statistics in R for those who have moderate programming experience in R. If you know how to work with datasets (variables, matrices, dataframes) and functions in R, but want to learn more about summarizing your data, identifying patterns, and potential interactions between variables, this class is for you. We will explore how to perform descriptive statistics, analysis of variance, regression, and identify interactions between variables on example datasets.

Please ensure that R and the RStudio are installed on your computer before the workshop (you can get both here: https://posit.co/download/rstudio-desktop/). If you know how, please install the tidyverse package, otherwise we’ll do it in class. 

Register here to attend. This workshop is open exclusively to current Stanford affiliates, and registration will be on a first-come, first-served basis. Space is limited, and a waitlist will be available once spots are filled. (Please note: You must be logged in to Google Drive with your SUNet ID to access the registration form.)

• Location: Virtual (A zoom link will be sent to registrants one week before the event.)
• Date and Time: 1:00 PM to 4:00 PM, Wednesday, November 13, 2024
• Lead Instructor: Dr. Alex Manchester (Mathematics, Statistics & Computational Sciences Librarian) & Dr. Alma Parada (Head Librarian, Earth Sciences Library)