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This repository contains materials for the Statistical Modeling and Learning in R workshop of the Data Science and Programming Summer Workshop Series.
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README.md
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README.md

Statistical-Modeling-and-Learning-in-R

You’ve learned the basics of R, but now you need to know how to actually do your analysis. If that might include running some type of regression model, this is the workshop for you. Whether you want to use regression for statistical inference or prediction, this workshop will cover the basics to help you get started. Things you’ll learn in this workshop:

Use R’s formula syntax to specify models
Run common regression models in R
Read model fit summaries and output
Make predictions with regression models in R
Basic model diagnostic tools

Prerequisites:

Experience with R of at least the level of the Introduction to R workshop
Familiarity with regression models (separate from R)

Time and Location: 9am-12pm, Mudd Library, Large Classroom, Room 2210

Practice Session: 1:30pm, Mudd Library, Large Classroom, Room 2210

Workshop materials are also available in this repository. Instruction for downloading from GitHub can be found here: https://sites.northwestern.edu/summerworkshops/resources/downloading-from-github/

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