LEADER 05176nam 22007095 450 001 9910437861503321 005 20220623132106.0 010 $a1-4614-9020-0 024 7 $a10.1007/978-1-4614-9020-3 035 $a(CKB)3710000000089056 035 $a(SSID)ssj0001187481 035 $a(PQKBManifestationID)11673370 035 $a(PQKBTitleCode)TC0001187481 035 $a(PQKBWorkID)11256825 035 $a(PQKB)11786754 035 $a(DE-He213)978-1-4614-9020-3 035 $a(MiAaPQ)EBC6315506 035 $a(MiAaPQ)EBC5590124 035 $a(Au-PeEL)EBL5590124 035 $a(OCoLC)1065877765 035 $a(PPN)176748466 035 $a(EXLCZ)993710000000089056 100 $a20140228d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 14$aThe R Software $eFundamentals of Programming and Statistical Analysis /$fby Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (XXXVII, 628 p. 50 illus., 41 illus. in color.) 225 1 $aStatistics and Computing,$x1431-8784 ;$v40 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4614-9019-7 320 $aIncludes bibliographical references and indexes. 327 $aForeword -- 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. 330 $aThe contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance.  The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book. 410 0$aStatistics and Computing,$x1431-8784 ;$v40 606 $aStatistics  606 $aProgramming languages (Electronic computers) 606 $aR (Computer program language) 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 615 0$aStatistics . 615 0$aProgramming languages (Electronic computers). 615 0$aR (Computer program language) 615 14$aStatistics and Computing/Statistics Programs. 615 24$aProgramming Languages, Compilers, Interpreters. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 700 $aLafaye de Micheaux$b Pierre$4aut$4http://id.loc.gov/vocabulary/relators/aut$0523193 702 $aDrouilhet$b Rémy$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLiquet$b Benoit$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437861503321 996 $aThe R Software$92517664 997 $aUNINA