000			05145cam a22006377i 4500
001			17921263
003			VITAP
005			20250327102819.0
008			131029t20132013nyua b 001 0 eng
010			_a 2013953875
016	7		_a016515892 _2Uk
020			_a9781461490197 _q(hbk : acid-free paper)
020			_a1461490197 _q(hbk : acid-free paper)
020			_z9781461490203 _q(eBook)
035			_a(OCoLC)ocn881246903
040			_aAU@ _beng _cVITAP _erda _dOCLCO _dBTCTA _dUKMGB _dYDXCP _dOHX _dOCLCF _dBEDGE _dNAM _dIUL _dS3O _dOCLCQ _dDLC
042			_alccopycat
050	0	0	_aQA276.45.R3 _bL34 2013
082	0	4	_a519.5 LAF _223
100	1		_aLafaye de Micheaux, Pierre, _d1973- _eauthor.
245	1	4	_aThe R software : _bfundamentals of programming and statistical analysis / _cPierre Lafaye de Micheaux
264		1	_aNew York : _bSpringer, _c[2013]
264		4	_c2013
300			_axxxvii, 628p.:ill.:24cm _billustrations (some color) ; _c24 cm.
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
337			_aunmediated _bc _2rdamedia
338			_avolume _bcr _2rdacarrier
490	1		_aStatistics and computing, _x1431-8784
504			_aIncludes bibliographical references and indexes.
505	0		_aPart I. Preliminaries. -- 1. Introducing R -- 2. A Few Data Sets and Research Questions. -- -- Part II. The bases of R. -- 3. Basic Concepts and Data Organisation -- 4. Importing, Exporting and Producing Data -- 5. Data Manipulation, Functions -- 6. R and Its Documentation -- 7. Drawing Curves and Plots -- 8. Programming in R -- 9. Managing Sessions. -- -- Part III. Elementary mathematics and statistics. -- 10. Basic Mathematics: Matrix Operations, Integration, Optimization -- 11. Descriptive Statistics -- 12. A Better Understanding of Random Variables, Distributions and Simulations Using R Specificities -- 13. Confidence Intervals and Hypothesis Testing -- 14. Simple and Multiple Linear Regression -- 15. Elementary Analysis of Variance -- Appendix: Installing R and R Packages.
520			_a"The 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 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"--Back cover.
650		0	_aR (Computer program language)
650		0	_aMathematical statistics _xComputer programs.
650		0	_aMathematical statistics _xData processing.
650		7	_aMéthodes statistiques. _2eclas
650		7	_aLangages de programmation. _2eclas
650		7	_aTraitement des données. _2eclas
650		7	_aAnalyse mathématique. _2eclas
650		7	_aStatistique. _2eclas
650		7	_aMathématiques. _2eclas
650		7	_aManuels. _2eclas
650		7	_aMathematical statistics _xComputer programs. _2fast _0(OCoLC)fst01012130
650		7	_aMathematical statistics _xData processing. _2fast _0(OCoLC)fst01012133
650		7	_aR (Computer program language) _2fast _0(OCoLC)fst01086207
650		7	_aMatematisk statistik. _2sao
700	1		_aDrouilhet, Rémy, _eauthor.
700	1		_aLiquet, Benoît, _eauthor.
830		0	_aStatistics and computing.
856	4	2	_3Contributor biographical information _uhttps://www.loc.gov/catdir/enhancements/fy1622/2013953875-b.html
856	4	2	_3Publisher description _uhttps://www.loc.gov/catdir/enhancements/fy1622/2013953875-d.html
856	4	1	_3Table of contents only _uhttps://www.loc.gov/catdir/enhancements/fy1622/2013953875-t.html
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cREF
999			_c46615 _d46615