USB sticks? 😱

Oh no, absolute paths! 😱🙃

data <- read.csv("/Users/boyuan/Desktop/R/gallery/DATASETS/US_disease.csv")

More inspiration:

www.youtube.com/watch?v=uVYG...

Small update to the blog post, which now uses sparse matrix algebra and the canonical form of the Markov chain to compute the attacker's win probability faster.

Most surprising discovery of the research behind the post: The Troll dice roller and probability calculator

topps.diku.dk/torbenm/trol...

It can help you solve any dice probability problem or board game dice question.

TLDR: If A is the number of dice the attacker has and D is the defender's number of dice then attack if A≥1.2204+0.8525⋅D.

Occupational risk (of the photographer as well as of the reader)

Oops, sorry. Missed that part. That's when you don't copy & paste. Thanks for clarifying!

Thanks for sharing & making me interested in the challenge! 😀 Not sure I fully understand why this works, because the recursive use of "safe" goes against the "one record wrong" instruction, i.e. the result of safe(c(100,2,3,10,5), damp=TRUE) would be TRUE, even though there are 2 wrong records?

Available without charge and also in HTML Bookdown format:

statistics4ecologists-v2.netlify.app

Besides the recommendations in the thread I also came across

Fieberg, John R. (2024). Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models. University of Minnesota Libraries Publishing. hdl.handle.net/11299/260227

Thanks! I've used that & the cool videos going with it for a Bayes course , but it's a little lightweight on the math IMHO. I teach mostly math students who are appear a little uncomfortable when there is no equation - I am too at times 😀.

Thx for the refs! I didn't know the first one, looks like it could fit well and contains the modern R perspective.