Linear Regression and Analysis of Variance with R

In this workshop participants will have an opportunity to perform linear regression and analysis of variance using R on various datasets and explore the model that best fits the data. Participants will learn about linear, multi-variate and polynomial models and determine what model fits best the data they are exploring. Participants will also have an opportunity to learn about one-way analysis of variance (ANOVA) on datasets and problems provided during the workshop. Requirements: personal laptop with R and R studio (R version 3.6.0)

This workshop will be taught by Laura Gutierrez Funderburk, the main organizer of SFU's Scientific Programming Group.

Laura currently works as a DevOps Engineer for iReceptor (SFU) where she develops Python and shell scripts to perform quality assurance and track downloads performance. She is currently in her last year in the B.S.c Mathematics program at SFU. Prior to her current role, she worked as an IT Help Desk assistant for the BC Cancer Research Centre and also as a Callysto developer in the SFU branch, under the supervision of Dr. Cedric Chauve.

To confirm your spot, please get a ticket on Brainstation: https://brainstation.io/event/linear-regression-and-analysis-of-variance-with-r

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About the workshop & instructions:

-Please expect a hands-on session in a friendly and laid-back atmosphere where we all encouraged to learn together.

• All levels are welcome, but be prepared that we created this with beginners in mind. You should be familiar with R and RStudio.

• Install R: https://mirror.its.sfu.ca/mirror/CRAN/

• Install RStudio (choose the Desktop version): https://www.rstudio.com/products/rstudio/download/#download

• Pack your laptop, drink and a snack

MEGA thanks to Brainstation for hosting us.

IMPORTANT**

1. Get a ticket via eventbrite to guarantee a spot. Feel free to RSVP here, but for this event please RSVP on the Brainstation website to ensure a seat, as spots may be limited. Get your ticket here: https://brainstation.io/event/linear-regression-and-analysis-of-variance-with-r

2. Bring your LAPTOP

3. If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

4. Who is this allowed to attend the workshop?
   Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming language in data science, which is R.

To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.

See you there!

Anna, Raissa, Lucia, Jasmine, & Lisa