Sharpen your Data Science skills with this is a hands-on workshop on regression techniques in R.

This workshop will give you the practical skills and foundation knowledge to effectively use some of the most common regression models used by data scientists. In regression analysis, the nature of the data dictates which model type is appropriate. Models differ depending on the distribution of the response variable. This workshop will introduce four types of models in which the distributions of the response variable are: (i) normal (continuous, with bell-shaped density function), (ii) gamma (continuous, with density having a long right tail), (iii) binary (discrete, assuming values 0 or 1), and (iv) Poisson (discrete, assuming values 0, 1, 2, 3, etc.). For each regression, a definition and all must-know facts will be discussed. Further, the expression for the fitted model will be explained and how to interpret estimated regression coefficients will be taught. You will be shown how to use the model for prediction. The course will give examples in R and you will be taught how it create these models and interpret the output. You will work in small groups to do hands-on exercises to help reinforce the material.

We would like to use the RStudio Cloud. If you are not familiar with this technology, the participants use a web browser to access RStudio. The environment will be setup and loaded with the code and data that is needed. This way, participants can focus on building models.

The material covered by the workshop will be taken from my recently published book “Advanced Regression Models with SAS and R Applications”, CRC Press, 2018.

Dr. Olga Korosteleva, is a professor of Statistics at the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received her Bachelor’s degree in Mathematics in 1996 from Wayne State University in Detroit, and a Ph.D. in Statistics from Purdue University in West Lafayette, Indiana, in 2002. Since then she has been teaching mostly Statistics courses in the Master’s program in Applied Statistics at CSULB, and loving it!

Dr. Olga is an undergraduate advisor for students majoring in Mathematics with an option in Statistics. She is also the faculty supervisor for the Statistics Student Association. She is also the immediate past-president of the Southern California Chapter of the American Statistical Association (SCASA). Dr. Olga is the editor-in-chief of SCASA’s monthly eNewsletter and the author (co-author) of four statistical books.

When: October 13, 2020

• Tuesday: 6:30 PM - 09:45 PM

Where:

This event will be held on Zoom. You will need a Zoom account in order to join. Before the event, the Zoom link will be emailed to you.

Registration

• Cost: $10
• Register through EventBright

• All participants must register for the event and have a valid ticket to attend.

• All participants must abide by the OCRUG Code of Conduct, including the R Consortium and the R Community Code of Conduct.

You will need Zoom installed on your computer and an account. The zoom connection information is:

• https://oracle.zoom.us/j/97998940432?pwd=cW41MnBnRDI4OFBlOEt0amRORE82QT09
• Meeting ID: 979 9894 0432
• Password: 38035893
• Dial by your location: +1 669 900 6833 US (San Jose)
• Find your local number: https://oracle.zoom.us/u/abCl13paS

You have two options for working with the code examples and exercises for the workshop:

1. Download and install R and RStudio (if you haven't already)
2. Download the examples and exercises code from the workshop GitHub repository: https://github.com/ocrug/regression_models_2020-10-13
   1. If you don't know how to use Git, download the course files by clicking the green "Code" button and select "Download ZIP".
   2. If you do know how to use Git, clone the repo to your computer
3. Unzip the files (or go to the directory where you cloned the repository), and double click the file called regression_models_2020-10-13.Rproj. This will start RStudio and you can see the examples and exercises code in the two folder called examples and exercises
4. Install the rcompanion package.

1. Create a free account on RStudio Cloud: https://rstudio.cloud
2. Go to the workshop project: https://rstudio.cloud/project/1683550
3. At the top of the project window, Click "Save a Permanent Copy" — it's by the flashing red "Temporary Project" sign.
4. The project and all its files will now be in your own Personal workspace. You have 15 free hours per month using Rstudio Cloud.

OCRUG GitHub Repo: https://github.com/ocrug/

You do not need to download the github repo. All files that you need will be provided on the RStudio Cloud instance.

Event Repo: https://github.com/ocrug/regression_models_2020-10-13

A slack channel has been set up for the event. This will be used for general announcements but it is also a great source for you to ask questions to other participants.

If you have not created an account on our slack group, create one using the following link:

Slack Group Sign-up: https://tinyurl.com/socalrug-slack-signup

Once you have an account, sign in (you can do it on a web browser or download an app on your phone or desktop).

Slack channel: https://tinyurl.com/socalrug-slack

The channel for the course is regression-2020

Please follow us on twitter, oc_rug, and also tweet about the event with the hash tag #OCRUG

This event is being brought to you by the Orange Country R Users Group OCRUG

This event is sponsored by the University of California, Paul Merage School of Business. https://merage.uci.edu/