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
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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