Presented by AGSBS, Ecoblender Lab, and York University

York University
April 28 2017 Instructor: Alex Filazzola
10 am - 12 pm Co-instructors: Thomas Van Zuiden and Katie Florko

General Information

The purpose of this workshop is to provide tools for a new/novice analyst to more effectively and efficiently analyse their data in R. This hands-on workshop will introduce the basic concepts of R and use of generalized linear models in R to describe patterns. Participants will be encouraged to help one another and to apply what they have learned to their own problems.

Who: The course is aimed at R beginners and novice to intermediate analysts. You do not need to have previous knowledge of R.

Where: 88 Pond Road, York University. Room 2114 DB (TEL). Google maps

Requirements: Participants should bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) with administrative privileges. If you want to work along during tutorial, you must have R studio installed on your own computer. However, you are still welcome to attend because all examples will be presented via a projector in the classroom. Coffees and cookies provided for free.

Contact: Please contact alex.filazzola@outlook.com for more information.

Schedule

Live Notepad

Time Goal
9:50 Meet & greet. Test software
10:00 R arithmetic and simple commands
10:30 R environment and visualization
10:55 coffee break
11:05 Introduction to GLMs
11:30 Conducting GLMs in R
12:00 Final discussions

Software

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows Mac OS X Linux
Install R by downloading and running this .exe file from CRAN. Please also install the RStudio IDE. Install R by downloading and running this .pkg file from CRAN. Please also install the RStudio IDE. You can download the binary files for your distribution from CRAN. Please also install the RStudio IDE