Here you’ll find workshop slides and similar. They are roughly in order of how recently they’ve been given. Some are not so much workshops as talks without any expectation of hands-on exercises or similar.
My God, it’s full of STARs! Using astrology to get more from your data. Talk on structured additive regression models, and generalized additive models in particular.
Data Processing and Visualization in R
Focus is on common data processing and exploration techniques, especially as a prelude to visualization. The main focus will be the dplyr and data.table packages, which enhance and facilitate the sorts of operations that typically arise when dealing with data, including faster I/O and grouped operations. For visualization, the focus will be on using ggplot2 and other packages that allow for interactivity. Exercises.
Structural Equation Modeling
This document regards a recent workshop given on structural equation modeling. It is conceptually based, and tries to generalize beyond the standard SEM treatment. The document should be useful to anyone interested in the techniques covered, though it is R-based, with special emphasis on the lavaan package.
Become a Bayesian in 10 Minutes
This document regards a talk aimed at giving an introduction Bayesian modeling in R via the Stan programming language. It doesn’t assume too much statistically or any prior Bayesian experience. For those with such experience, they can quickly work with the code or packages discussed. I post them here because they exist and provide a quick overview, but you’d get more from the more extensive document.
Ceci n’est pas une %>%
Exploring your data with R. A workshop that introduces some newer modes of data wrangling within R, with an eye toward visualization. Focus on dplyr and magrittr packages.
Getting More from RStudio
An afternoon talk on how to use RStudio for more than just coding.
Literate Statistical Programming
A presentation on literate programming and reproducible research. Introduces key concepts with demonstration via RStudio using Rmarkdown, $\LaTeX$, R etc. This set of notes regarded a talk given with Andres Martinez, but I hope to return to it at some point for an update and extension.
An afternoon workshop I hope to develop further at some point.