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Beginning R: The Statistical Programming Language

Beginning R: The Statistical Programming Language

Beginning R: The Statistical Programming Language. Mark Gardener

Beginning R: The Statistical Programming Language


Beginning.R.The.Statistical.Programming.Language.pdf
ISBN: 9781118164303 | 504 pages | 13 Mb


Download Beginning R: The Statistical Programming Language



Beginning R: The Statistical Programming Language Mark Gardener
Publisher: Wrox Press, Inc.



I have programmed in many different computing and scripting languages, but the ones I most commonly use on a day to day basis are Fortran, C++, Perl, and R. In particular, I use R every day because it is not only a programming R. John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. Rent college textbooks as an eBook. So I'm going out on a limb a little here, but I think this may be the book I'd recommend for someone wanting to learn R, especially for someone with more experience in programming than statistics. Save more on Beginning R: The Statistical Programming Language, 9781118164303. R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. Try eTextbooks risk-free with a free trial. I looked I would recommend it as a first R book, and the reason is quite simple: start by the beginning. From the Unix command line, or double click on the R icon if you are running under Mac OS X or Windows. Related I'll second the warning that most other R books fail to introduce is as a programming language, instead treating it as a black box that you poke by typing things. Starting R will produce the Graphical User Interface (GUI) command line console window, into which you can type R commands. This book examines this complex language using Beginning R.

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