"The correlations were much lower between Mendeley readers and citation counts for conference papers than for journal articles in Building & Construction Engineering and Industrial and Manufacturing Engineering. Hence, there seem to be disciplinary differences in the usefulness of Mendeley readership counts as impact indicators for conference papers, even between fields for which conferences are important."

"Proofs of obscure provenance are sometimes overlooked at first, but usually not for long: A major paper like Royenâ€™s would normally get submitted and published somewhere like the Annals of Statistics, experts said, and then everybody would hear about it. But Royen, not having a career to advance, chose to skip the slow and often demanding peer-review process typical of top journals. He opted instead for quick publication in the Far East Journal of Theoretical Statistics, a periodical based in Allahabad, India, that was largely unknown to experts and which, on its website, rather suspiciously listed Royen as an editor. (He had agreed to join the editorial board the year before.)"

Awesome project created by an undergrad at Brown!

"R provides Type I sequential SS, not the default Type III marginal SS reported by SAS and SPSS. In a nonorthogonal design with more than one term on the right hand side of the equation order will matter (i.e., A+B and B+A will produce different results)! We will need use the drop1( ) function to produce the familiar Type III results."

I'm a little disappointed in this article. It's a little incoherent and doesn't do a great job of talking about what it means by statistics. It's something about the political power of data collection?

systematic and random measurement errors

If you liked the Acetarium, you're going to love...

Listing of classic R datasets used in various packages

I found all the talk about statistics to be really really annoying. I mean, dude, it's a sample size of -2-. Experiments? Sure. But statistics aren't going to help you in a situation where you are compare two groups of size 1.