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
Music and snow. Poke my eyes out Perhaps your immediate response is: ”I’d rather poke my eyes out with a burning stick than do data analysis.” There’s a completely different [...]
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Move your data analysis to a computing environment specifically designed for it. Why R and not spreadsheets? Here are three reasons: complexity graphics money Spreadsheets are easily overwhelmed. Very complex [...]
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The steps taken to fix an R problem. Task To prepare for the Portfolio Probe blog post called ”Implied alpha and minimum variance”, I tried to update a matrix of [...]