Introduction to R
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…
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…
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…
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…
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…
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…
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…
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).
REGISTER HERE Overview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).
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…
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…