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001 sulb-eb0022973
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005 20160413122329.0
007 cr nn 008mamaa
008 140228s2013 xxu| s |||| 0|eng d
020 _a9781461490203
_9978-1-4614-9020-3
024 7 _a10.1007/978-1-4614-9020-3
_2doi
050 4 _aQA276-280
072 7 _aUFM
_2bicssc
072 7 _aCOM077000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aLafaye de Micheaux, Pierre.
_eauthor.
245 1 4 _aThe R Software
_h[electronic resource] :
_bFundamentals of Programming and Statistical Analysis /
_cby Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aXXXVII, 628 p. 50 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics and Computing,
_x1431-8784 ;
_v40
505 0 _aForeward -- Basic Concepts and Data Organisation -- Importing, Exporting and Producing Data -- Data Manipulation, Functions -- R and its Documentation -- Drawing Curves and Plots -- Programming in R -- Managing Sessions -- Basic Mathematics -- Descriptive Statistics -- A Better Understanding of Random Variables -- Confidence Intervals and Hypothesis Testing -- Simple and Multiple Linear Regression -- Elementary Analysis of Variance -- Installing R and R Packages -- References -- Indices -- Solutions.
520 _aThe contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance.  The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
650 0 _aStatistics.
650 0 _aProgramming languages (Electronic computers).
650 1 4 _aStatistics.
650 2 4 _aStatistics and Computing/Statistics Programs.
650 2 4 _aProgramming Languages, Compilers, Interpreters.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1 _aDrouilhet, Rémy.
_eauthor.
700 1 _aLiquet, Benoit.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461490197
830 0 _aStatistics and Computing,
_x1431-8784 ;
_v40
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9020-3
912 _aZDB-2-SMA
942 _2Dewey Decimal Classification
_ceBooks
999 _c45065
_d45065