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
The function in question is scriptSearch. I’m not much for superlatives — ”most” and ”best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. The [...]
jun 25, 26
I recently gave a talk at the R in Finance conference in which I introduced the marketAgent package for R. Here is the source for the package if you'd like [...]
jun 25, 26
Executive summary Surprisingly good. And it’s not like my expectations were especially low. Structure There are 20 chapters. I mostly like the chapters and their order. Hadley breaks the 20 chapters [...]