CASE Workshops

The Center for Assessment, Statistics and Evaluation (C.A.S.E.) is excited to announce a series of workshops on the statistical programming language R. These will be hands-on workshops with lots of opportunity to practice (so be sure to bring a laptop!). We will offer one all-day workshop providing an introduction to R for beginners, and three short evening workshops on popular statistical analyses. All of the workshops will focus on common stumbling blocks for people learning R, strategies for building general R competence, and how to get lovely output you can interpret and understand.

 

Workshop Date and Time

Content

Sunday May 15th 9:00am-4:00pm

All-day Intro to R for Beginners

Tuesday May 17th 5:00pm-6:30pm

Intro to linear models (e.g. regression, ANOVAs) in R

Wednesday May 18th 5:00pm-6:30pm

Intro to generalized linear models (e.g., logistic regression) in R

Thursday May 19th 5:00pm-6:30pm

Intro to multilevel modeling in R

 

Suggested prerequisites:

The all-day workshop on Sunday 5/15 will cover all of the basics of getting started with R and will be accessible for people with no prior programming or R experience. There are no prerequisites for this workshop – we’ll start at the very beginning and move slowly. 

The shorter evening workshops on the following Tuesday, Wednesday, and Thursday will each highlight a different popular analysis technique (in R, of course!). You can come to one, two, or all three of these sessions – whatever suits your needs. These short workshops will each assume some basic familiarity with R, but they’re still designed to be very approachable for new R users. If you attend the all-day Intro workshop, you’ll be ready for the R code in any of the three shorter sessions.  I’ll provide some brief theoretical review, but the focus for all of these workshops is on learning to use R rather than learning the ins and outs of the analyses themselves, so you should have some familiarity with the statistical technique under discussion. These workshops are perfect for you if you’ve learned about these statistical tests in a class or have used them in your own research, but don’t know how to do them yet in R. 

How to sign up:

Register online https://oregon.qualtrics.com/SE/?SID=SV_bPzrjHWYKlLALcx

 

Cost:

C.A.S.E. is offering a special reduced rate for these workshops because we feel strongly that R should be accessible to everybody, and we don’t want the price of the workshop to stand between you and this amazing tool. Current UO students, staff, and faculty can register for all of these workshops for just $10. No matter how many you register for, the total price is just $10, so might as well get your money’s worth and come to all four!

 

Software:

R itself is and always will be totally free. The workshops will be presented in R Studio (also free), which is a nice user interface for R. We recommend you install both R and R Studio before the first workshop:

R: http://ftp.osuosl.org/pub/cran/

R Studio: https://www.rstudio.com/products/rstudio/download/

 

If you have any questions about the R workshops, please email the instructor, Rose (rosem@uoregon.edu).