| Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:328843353:2477 |
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LEADER: 02477cam a2200397Ma 4500
001 013291045-4
005 20130208185837.0
008 120612s2012 enka b 001 0 eng d
015 $aGBB209083$2bnb
020 $a9780199601615 (hbk.)
020 $a0199601615 (hbk.)
020 $a9780199601622 (pbk.)
020 $a0199601623 (pbk.)
035 0 $aocn807038102
040 $aStDuBDS$beng$cCUD$dOCLCO$dCDX$dORC
050 4 $aQA76.73.R3$bB43 2012
082 04 $a570.2855133$223
100 1 $aBeckerman, Andrew P.
245 10 $aGetting started with R :$ban introduction for biologists /$cAndrew P. Beckerman & Owen L. Petchey.
260 $aOxford :$bOxford University Press,$c2012.
300 $ax, 113 p. :$bill. ;$c25 cm.
490 1 $aOxford biology
504 $aIncludes bibliography (p. [109]) and index.
505 0 $a1: Why R? -- 2: Import explore graph I -- getting started -- 3: Import explore graph II -- importing and exploring -- 4: Import explore graph III -- graphs -- 5: Getting started doing your statistics in R.
520 $a"Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open source statistics and programming language R has emerged as a critical component of any researcher's toolbox. Indeed, R is rapidly becoming the standard software for analyses, graphical presentations, and programming in the biological sciences.
520 $aThis book provides a functional introduction for biologists new to R. While teaching how to import, explore, graph, and analyse data, it keeps readers focused on their ultimate goals - communicating their data in oral presentations, posters, papers, and reports. It also provides a consistent method (workflow) for using R that is simple, efficient, reliable, accurate, and reproducible. The material in the book reproduces the engaging and sometimes humorous nature of the three-day course on which it is based."--pub. desc.
650 12 $aMedical Informatics$xmethods.
650 12 $aProgramming Languages.
650 12 $aBiostatistics.
650 0 $aR (Computer program language)
650 0 $aBiology$xData processing.
650 0 $aMathematical statistics$xData processing.
700 1 $aPetchey, Owen L.
830 0 $aOxford biology.
988 $a20120709
906 $0OCLC