ARGH Coding Club / R Users Group
Our mission is to facilitate a collaborative and supportive environment where students, post-docs, and faculty may develop data analysis, graphical, programming, and statistics skills together, using R.
We want to replace statistics anxiety or code fear with inspiration and motivation to learn.
If willing or available, a lead presenter demonstrates code for a graphical, statistical, or analytical problem they have mastered or are currently working on. Presenters may use their own data or data from published sources.
If no presenters, then the sessions will be R help sessions for fellow researchers.
Bring work in progress and simply use the time to work on code, ask or answer questions others might have.
Data and code examples may be uploaded to this site, so be able to provide sample datasets if necessary.
- Schedule: Every other monday, starting Monday, January 6
- Time: 12 - 1 pm (unless otherwise noted)
- Location: Digital Scholarship Laboratory
- Bring your laptop with R/Rstudio installed
- Bring current problems or challenges in R you need help with
- Bring novel solutions in R you want to share
- Be willing to help others with R solutions
- Jan 20 - Hall: Introduction to the Tidyverse
- Feb 3 - Tattersall: Figure preparation for manuscripts/theses using ggplot2
- Feb 17 - reading week
- Mar 2 - Data Sharing and organising research projects
- Mar 16 - Open
- Mar 30 - Open
- Apr 6 - Open
Sessions from 2019
- Jan 14 - Tattersall: Mean + Error Plots
- Jan 28 - Richards: Trait mapping code
- Feb 25 - Tattersall: Heat Maps from Weather Data
- Mar 11 - Waller: Embedding images in plots
- Mar 11 - Waller: Using Shiny
- Mar 25 - Tattersall: Sharing Code with Knitr - Writing Functions & Randomisation
- Apr 8 - Duff: Network Analysis
- Apr 22 - Tattersall: Reporting on linear models
- July 22 - Special Guest Session by Dr. Dimitri Skandalis
Department of Biological Sciences
Department of Psychology