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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.
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We want to replace statistics anxiety or code fear with inspiration and motivation to learn.
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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.
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If no presenters, then the sessions will be R help sessions for fellow researchers.
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Bring work in progress and simply use the time to work on code, ask or answer questions others might have.
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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
- 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
Glenn Tattersall
Department of Biological Sciences
Brock University
William Hall
Department of Psychology
Brock University