Online Math Degrees has a page of ”100 savvy sites on statistics and quantitative analysis”. It has some that you recognize, some that you’ve hardly ever heard of.
The sites are divided into groups. I think the R section should have included R-bloggers, but what do I know?
I think it’s well worth strolling through.
Epilogue
People who worked and suffered and struggled for fame,
Some who succeeded and some who suffered in vain.
— from ”Celluloid Heroes” by Ray Davies
jun 25, 26
Programmers think programming is really hard. Non-programmers think it’s even harder than that. Figure 1: The perceived difficulty of programming. Why is programming so arduous? […]
jun 25, 26
Coordinates: 2014 September 15-17 in the London borough of #rstats. 15th, evening I had just the right number of R bugs so that I could walk to the drinks and arrive [...]
jun 25, 26
Navigation gets you from where you are to where you want to be. Speaking of navigation, you can jump to selected sections of this post: Navigation; R-bloggers; Task views; Rdocumentation.org; [...]