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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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