Event box

Linear Modeling in R

Linear Modeling in R

The linear model is one of the most commonly-used statistical models. Also called the regression model or the ordinary linear regression, linear modeling is the foundation for more complex general linear models like logit or count models, mixed-effects models, and structural equation models. So it's a good model to understand. This workshop will cover to use R to fit and analyze linear models. Through hands-on examples, we'll talk about interpetation of model output and checking model assumptions. We'll also explore dummy variables, interactions, and variable transformations. While the workshop will assume you've met a regression model before, it can serve as a refresher for forgotten statistics! This workshop also assumes basic experience using R and familiarity with the tidyverse libraries, or successful completion of our Intro to R, Data Preparation in R, and Data Visualization in R workshops.

Date:
Tuesday, February 12, 2019
Time:
10:00am - 12:00pm
Location:
Brown 133
Campus:
Brown Science & Engineering
Categories:
Data Workshop Workshop
Presenter:
Michele Claibourn
Registration has closed.

Click to add to your Outlook Calendar! >> Add to a Calendar using iCal
The U.Va. Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Michele Claibourn

Thank you for registering for a Research Data Services worskhop!

Ricky Patterson