Beginning R: The Statistical Programming Language by Mark Gardener

Beginning R: The Statistical Programming Language



Beginning R: The Statistical Programming Language epub

Beginning R: The Statistical Programming Language Mark Gardener ebook
Publisher: Wrox Press, Inc.
Page: 504
Format: pdf
ISBN: 9781118164303


Description: Language and environment for statistical computing and graphics (3.0.1-2). R is similar to S, which was developed at Bell Laboratories by John Chambers et al. Here we go for a Vector Computing Comparison: R Language vs. Save more on Beginning R: The Statistical Programming Language, 9781118164303. Try eTextbooks risk-free with a free trial. It is the language I always use for the analysis of MCMC output. Like many statisticians, I probably use R more than any other language in my day-to-day work. Although I'm not a big fan of “Numerical recipes”, it's not too bad a place to start. Rent college textbooks as an eBook. Do you find Vector Computing tiresome while using statistical computing tools? To me, one of the most attractive features of R language and esProc is that their codes are both agile, that is, only requiring a few lines of codes to implement plentiful functions. Although R has many flaws, it is well suited to programming with data, and has a huge array of statistical libraries associated with it.





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