During COVID-19, Research Commons' services continue.
SFU graduate students are encouraged to book consultations with the Research Commons staff and partners. Consultations are available by phone, via email, or through online video-conference.
Not finding what you're looking for? Please get in touch with us at firstname.lastname@example.org so we can discuss your research support needs.
This workshop is in the past and registrations are unavailable.
All times are Pacific Time Zone (Vancouver, BC, Canada).
This series of lessons will introduce you to the programming language R. R is an open-source, widely used, and increasingly popular tool for statistical and data analyses, text mining, geospatial analysis, modelling, and a growing number of other applications. No prior knowledge is required. Students will learn the skills needed to start analyzing their own data.
The topics covered include:
- the R environment (directories, workspace, scripts, and packages),
- simple commands to get you started,
- data structures (vector, matrix, data frames, lists),
- basic data analysis tools (built-in statistical packages, plotting, etc.)
As time permits, an introduction to functions may also be covered.
You need to attend all 5 days. Different topics are covered each day and it builds on materials covered on the previous day, so if you miss a day, we won't have the resources to help you catch up in this online environment. To give you an idea of what's being covered each day, here is a very rough draft of the topics being covered each day. They will be refined each day as required.