Because this workshop is focused on a topic that the participants will likely have little-to-no experience with, it is important that the learning material, presentations, and exercises retain consistency throughout the workshop to minimize potential confusion. To this end, the personnel for the workshop will consist of a core set of presenters who will work closely together to produce the main materials for the workshop, along with a group of teaching assistants (~1 TA per 4 – 6 people) to actively work with participants to answer questions and assist with exercises.


All registrants received an email message from choimeena.ijae [at] today November 5.This email from choimeena.ijae [at] contains the Zoom and YouTube linksyou will need to connect to the online fall workshop. This email message was sent to the email registrants indicated on the pre-workshop survey.

Day 1: Saturday, November 7 12:00 PM – 3:15 PM Eastern-USA

Introduction to R


Day 2: Sunday, November 8 12:00 PM – 3:15 PM Eastern-USA

Data Visualization with ggplot2


Day 3: Saturday, November 14 12:00 PM – 3:15 PM Eastern-USA

Intro Statistics & Reproducible Analysis


Day 4: Sunday, November 15 12:00 PM – 3:15 PM Eastern-USA

Mass Spec R Packages & Analysis

Saturday, November 7 (12:00 - 3:15 pm Eastern)

  • Module #1: R Fundamentals
  • Module #2: Basic Data Manipulation

Sunday, November 8 (12:00 - 3:15 pm Eastern)

  • Module #3: Basic Data Visualization with ggplot2
  • Module #4: Data Preparation for Visualization and Extended ggplot2 Syntax

Saturday, November 14 (12:00 - 3:15 pm Eastern)

  • Module #5: Reproducible Data Analysis with RMarkdown
  • Module #6: Application of Topics with a Case Study

Sunday, November 15 (12:00 - 3:15 pm Eastern)

  • Module #7: Applied MS Topics and R Packages #1
  • Module #8: Applied MS Topics and R Packages #2