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Visualizing Model Effects

Visualizing Model Effects

Linear modeling output can be difficult to interpret, especially when your model has interactions. What do the coefficients on the interactions mean exactly? In the presence of multiple predictors, interactions can defy intuition. On top of that, you may have multiple models to compare. Traditionally these are summarized in a table crammed with rows of coefficients, standard errors and test statistics. But our brains often struggle to process so many numbers and detect patterns and differences. In this workshop we show you how to address these issues in R using effect displays and coefficient plots. These methods allows us to visualize linear model output and help us interpret and communicate their meaning. Prerequisites: some experience using R and basic knowledge of multiple and logistic regression would be helpful, but not required. 

Date:
Thursday, October 13, 2016
Time:
10:00am - 11:30am
Location:
Brown Library 133 (Clark Hall)
Campus:
Brown Science & Engineering
Categories:
Data Workshop
Presenter:
Clay Ford
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Event Organizer

Clay Ford
Michele Claibourn

Thank you for registering for a Research Data Services worskhop!