Yesterday I picked up a piece of ceramic bric-à-brac promoting RCA's Electronic Data Processing division (active mid-1950s to 1971). It features ten different ways to represent data or algorithms, of which I recognize many, but not all. Can you name the rest? Bonus: Can you decode the ones with actual data? [more inside]
StatFilter: Would anybody be able to recommend a good introduction to the statistical computing language "R" that a reasonably quantitatively-adept psychologist might be able to work through on his own? Something like a step-by-step book or textbook with exercises would be great to help me become more fluent in R. (My colleagues at work who use R are primarily computer scientists who either first learned MatLab or are brilliant autodidacts when it comes to learning different scripting languages, and thus don't have any suggestions; Googling has mostly proferred a somewhat obscurely structured guide from the R authors and lots of invocations to just learn on my own, somehow...). I've become familiar with how to do many individually useful tasks in data structuring and analysis, but I feel a bit like a very high-functioning tourist who has learned a lot of phrases to get around but who would be lost and mugged in an alleyway if I strayed off the beaten path.
Computer languages considered in linguistic contexts? [more inside]
I swore I wasn't gonna collect any more computer languages. Then I read up on HLA and installed it along with FASM, MASM32 and the really nice RadASM IDE -- and got pretty jazzed. Anyone have any experience and thoughts to share?