From the ever popular Research Whalberg – now that y’all are GLM-ers, this isn’t you, right?
In honor of International Talk Like a Pirate day, and your foray into the world of R graphics this week, here’s a little bit of what you can do when you put your mind to it. Yes, that’s an animated … Continue reading
Two years ago, I began my adventure as a new faculty member teaching students about how to learn from their data. The first year’s students were an amazing bunch of ecologists and evolutionary biologists, and I think I learned as … Continue reading
So, for those of you using knitr in the class, you may be feeling pretty good about R Markdown. You may want to even start using it more broadly, say, for making slides with lots of analyses. Previously you had … Continue reading
Tired of the same old ggplot2 themes, and want to spice it up a bit? Then try out the ggthemes package, currently on github. You can make your graph look Tufte-ian, solarized, like it came from Stata, formatted for the … Continue reading
Two great posts on Type I and II error and decisions about city closures here and with a followup here.
A nice piece from Dave Giles’s blog giving a more thorough explanation of Degrees of Freedom in regression. Enjoy!
Your data is now considered a scholarly product according to NSF. In a recent change to their guidelines, you no longer just list ‘Publications’ but now list ‘Products’ on your submitted CV. This means, heck, not only data is a … Continue reading
Do you use GBIF to map species ranges? Want a quick and easy way to map the ranges of multiple species using R, instead of going to GIS software? Then try the rgbif library – very cool!
Mudge has actually written an excellent followup to his technique to balance type I and II error rates to determine a study specific α. He actually went back and did a meta-analysis to look at how study specific values of … Continue reading