Workshops

Two workshops are scheduled for Thursday, 2 Jan, 16:00-18:00. Please register for either workshop with the provided contacts.

Student and ERC Workshop

Science Communication: Beyond the Manuscript

Date: Thursday, January 2nd
Time: 4-6 pm
Room: Capitol Room

Facilitators: Dr. Josh Thienpont & Dr. Jérôme Marty

Registration: https://www.eventbrite.ca/e/science-communication-beyond-the-manuscript-tickets-81308857983

More detailed information can be found in the posters below (French and English version available), if you have any questions you can contact Kristen Coleman kcoleman@yorku.ca

Data Science Workshop

Data Wrangling with {tidyverse} Pipelines

Date: Thursday, January 2nd
Time: 4-6 pm
Room: Academy Room

Facilitator: Danielle Quinn, Instructor Trainer/Instructor for The Carpentries and RStudio, and helpers!

Registration: danielle.quinn@mun.ca

The tidyverse is a collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures, making it easier for users to write readable, flexible code to tackle a wide range of data challenges. In many disciplines, including fisheries and wildlife sciences, these tools are becoming increasingly popular and represent a valuable research skill set!

Prerequisites: Basic R Knowledge

Q. I don't know if I meet the suggested prerequisite!
- Do you know how to look at the first few rows of a data frame in R?
- Do you know the difference between numeric data and character data in R?
- Do you know how to apply a function in R?
- Do you know how to print a specific column from a data set in R?

A. If you've answered "yes" to at least two of the above questions, you are ready for this workshop! If you're uncertain, please reach out - I'm happy to discuss your concerns and help you determine if this workshop is right for you!

Workshop Objectives:

  1. Subset and summarise data frames in a readable, reproducible way using {dplyr} functions.
  2. Clean and merge data using {tidyr} and {dplyr} functions.
  3. Create workflows (pipelines) to accomplish tasks including subsetting, manipulating, and summarising data to generate figures and tables.
  4. Use code-folding techniques to organize and navigate your R scripts.

Preworkshop Instructions:

  1. Install R and RStudio
  2. Install the {tidyverse} packages

Please come prepared! If you have any problems, I will be holding "office hours" before the workshop to help you set up the software.