Texas A&M University’s Ecology & Evolutionary Biology (EEB) program is back with its popular Open Source for Open Science (OSOS) workshop.
When: August 19th and 20th
Where: ILSB auditorium on the College Station campus
About OSOS
OSOS is a free two day workshop which introduces participants to the use of free, open-source tools for data analysis, statistical analysis and visualization, particularly via the statistical programming language R. No previous experience with programming or statistics is required or expected. A full schedule of the event including instructors and their topics is below this email.
While OSOS is aimed at new graduate students in the life sciences, the event is open to all, including undergraduates, faculty, staff, etc, as long as they RSVP. Many previous attendees have found the OSOS workshop to be a great introduction to a new world of programming and data analysis, and many others have found it to be a great refresher of already acquired skills.
Thanks to our co-sponsor, the Texas A&M Institute of Data Sciences (TAMIDS).
Registration
The event is free for all attendees, although we ask that attendees please pre-register at the following link:
https://forms.gle/
If you consider yourself semi-experienced with the R programming language, and are interested in assisting with being an instructional aide during the event, please email the event coordinator David Bapst. We are looking for more helpers!
Schedule
8 am Doors Open
9:00 Module 1: Introduction to R & RStudio – Danielle Walkup
10:20 Break
10:30 Module 1: Intro to R, Part 2 – Danielle Walkup
11:30 Lunch
1 pm Module 2: Base Graphics in R – Maria Alejandra Hurtado Materon
2:20 Break
2:30 Module 3: Best Practices in Coding: Benjamin Hoose
3:50 Break
4:00 Module 4: The Grammar of Graphics: ggplot2 in R – Colton Watts
5:20 End
9 am Doors Open
10:00 Module 7: Introduction to Statistical Analyses in R – Rachel Busselman
11:30 Lunch
1 pm Module 8: Multivariate Statistics in R – John Gruseich
2:20 Break
2:30 Module 9: Parallelization in R – Benjamin Hoose
3:50 Break
4:00 Module 10: Piping, mutate, gather, spread: Data in R’s tidyverse – Colton Watts
5:20 End
Event Coordinator:
David W. Bapst, PhD
Assistant Instructional Professor
Geology & Geophysics
Texas A & M University
https://github.com/dwbapst/
Email: dwbapst@tamu.edu
