GAPS Workshop in R

This workshop focuses on developing basic skills in R. By the end of the course, students will have enough familiarity with R that they can concentrate on learning substantive methodological subject matter in their coursework instead of struggling with their software program. The learning objective of this workshop include: ● How to install R, the RStudio working environment, and commonly-used R packages; ● How R is both similar and different to other analysis software; ● How to import and save datasets; ● How to conduct basic operations such as re-coding, subsetting/filtering, construction of composite variables, etc.; ● How to create basic data visualizations; ● Troubleshooting basic coding mistakes; and ● Good workflow practices such as setting a working directory, documenting/commenting code syntax, not overwriting existing variables, etc.. Note, this workshop is NOT designed to teach income students and substantive statistical material (e.g. how to conduct statistical tests, how to run a regression, etc.). Rather, it is meant to get new students to a level where instructors can focus on teaching substantive material without the unfamiliarity with statistical software getting in the way.

About

This workshop focuses on developing basic skills in R. By the end of the course, students will have enough familiarity with R that they can concentrate on learning substantive methodological subject matter in their coursework instead of struggling with their software program.
The learning objective of this workshop include:
● How to install R, the RStudio working environment, and commonly-used R packages;
● How R is both similar and different to other analysis software;
● How to import and save datasets;
● How to conduct basic operations such as re-coding, subsetting/filtering, construction of composite variables, etc.;
● How to create basic data visualizations;
● Troubleshooting basic coding mistakes; and
● Good workflow practices such as setting a working directory, documenting/commenting code syntax, not overwriting existing variables, etc..
Note, this workshop is NOT designed to teach income students and substantive statistical material (e.g. how to conduct statistical tests, how to run a regression, etc.). Rather, it is meant to get new students to a level where instructors can focus on teaching substantive material without the unfamiliarity with statistical software getting in the way.
2
Days
4
Speakers
2
Sessions

Speakers

John Santos
John Santos
Western University
Daniel Mosannef
Daniel Mosannef
Western University
Shanaya Vanhooren
Shanaya Vanhooren
Western University
Alvaro Pereira
Alvaro Pereira
Western University

Agenda

10:00 AM - 12:00 PM

GAPS Workshop in R Day One

Main Stage

Occupancy: 5 / 50

Contact information