Articles by Michael Levy - Rstats

Tidyverse Tutorial

October 17, 2016 | Michael Levy - Rstats

Last week, I gave an overview of bunch of tidyverse packages (tibble, dplyr, tidyr, ggplot, readr, purrr) to the Davis R-Users’ Group. Here is that talk (and since videos don’t display everywhere this blog is syndicated, here is the YouTube link). ... [Read more...]

useR! talk on teaching R

July 5, 2016 | Michael Levy - Rstats

Here is a video recording of my talk from useR! 2016 on teaching R. It’s nominally about teaching a lot of students in an intensive format, but I think almost everything translates to traditional classes. If for whatever reason this video isn’t working out for you, here is the ... [Read more...]

ERGM Tutorial

May 10, 2016 | Michael Levy - Rstats

This was originally for a talk to the UC Davis Network Science group on using statnet to manage, visualize, and model networks with a focus on exponential random graph models (ERGM). I have cleaned it up a little so that it hopefully stands on its own. If anything is unclear, ... [Read more...]

Playing with Twitter Data

April 28, 2016 | Michael Levy - Rstats

Last Friday, the Institute for Social Sciences hosted a great one-day conference on various aspects of the reproducability crisis, Making Social Science Transparent. It was the first time I’ve done much tweeting during an event like this, and while it felt a little silly, it was also fun, it ... [Read more...]

Teaching R to 200 students in a week

September 19, 2015 | Michael Levy - Rstats

I just taught a week-long “R Bootcamp” to 200 R newbies. It went quite well, and I thought it would be valuable to jot down some thoughts on what worked and what I might change if doing it again. The course design and my approach to teaching scientific computing in general ... [Read more...]

What we’re reading — and how it ties us together

March 28, 2015 | Michael Levy - Rstats

tl;dr: Network of an interdisciplinary environmental social science lab as tied together by the journals we read. A few key journals, especially Social Networks, hold us together. R code follows. The Center for Environmental Policy and Behavior, my grad lab, is remarkably interdisciplinary. For some sense of our breadth, ... [Read more...]

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