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Statistical Inference with R: Linear and Logistic Regression Modeling

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Statistical Inference with R

Building on basic knowledge of R and introductory statistics, this workshop will walk you through the R functionality you can use to compute correlations between continuous variables, fit and interpret both linear and logistic regression models, and compute associated confidence intervals. It is recommended that you have used R before (even if you consider yourself a beginner) and it is also recommended that you have taken an introductory statistics course.

Prior to the workshop, participants should install R first, followed by the free version of RStudio Desktop. Registrants will be emailed installation instructions. If you need help installing these, please schedule a coding consultation and we'd be glad to help you.

This workshop is part of the Data Analysis with R and Tableau series for those looking to deepen their understanding of how to interact with data and more effectively and creatively communicate their research findings to wide audience. If you need personalized assistance with a data analysis, programming, or a coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services to support programming and coding and for working with data.

GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact at least 72 business hours (3 business days) prior to the event.

In-person attendance of this workshop is open to anyone whose GWorld allows them to tap into Gelman Library. If you do not have access to Gelman, please attend online.