R is a programming environment 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…
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R
Decomposing Interactions in R (Part II)
Description This is the second part of the seminar on decomposing interactions in R. Methods of decomposing continuous-by-categorical and categorical-by-categorical interactions will be reinforced with hands-on exercises. Requirements A laptop…
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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…
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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…
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Decomposing Interactions in R
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…
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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…
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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
REGISTER HERE Overview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).
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…
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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…
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