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
Several packages on CRAN provide (or relate to) interfaces between databases and R. Here is a summary, mostly in the words of the package descriptions. Remember that package names are [...]
jun 25, 26
Chapter 32 of Tao Te Programming advises you to make bricks instead of monoliths. Here is an example. The example is written with the syntax of R and is a [...]
jun 25, 26
There is a mechanism that allows variability in the arguments given to R functions. Technically it is ellipsis, but more commonly called ”…”, dots, dot-dot-dot or three-dots. Basics The three-dots [...]