In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. Interactions can be decomposed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) graphing. This workshop will demonstrate how to do all three analyses in…
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R
Running Applications on the Hoffman2 Cluster: Case Studies
This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run…
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Introduction to ggplot2
The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R. In this interactive seminar, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively. The workshop is interactive, in which attendees are encouraged to participate in…
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Introduction to Jupyter
The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in…
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R Markdown Basics
REGISTER FOR EVENT R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and…
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Introduction to Regression in R
REGISTER FOR EVENT Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar…
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Introduction to R
REGISTER HERE Overview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).
Introduction to Statistical Software
REGISTER HERE This hands-on workshop will introduce some commonly used statistical software packages, including R, SAS, SPSS, and Stata. Taught by Christine Wells (Institute for Digital Research and Education).
Introduction to R
RSVP FOR EVENT R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the…
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