03526cam 2200421 i 45000010009000000050017000090080041000260100015000670200029000820350024001110400074001350420014002090500026002230820026002491000029002752450074003042600046003782640047004243000047004713360026005183370028005443380027005724900034005995000020006335050497006535201419011506500034025696500033026036500049026368300030026859060045027159420012027609520130027729520130029029980029030329980028030619990015030891726089720231121152430.0120418s2012 inua 001 0 eng d a2012937909 a9781118164303qpaperback a(OCoLC)ocn769989920 aBTCTAbengcBTCTAdBDXdYDXCPdBWXdSVPdCLEdKSAdDLCdEG-CaTKHerda alccopycat00aQA276.45.R3bG37 201200a005.133 GA.B 20122231 aGardener, Mark,eauthor.10aBeginning R :bthe statistical programming language /cMark Gardener. aIndianapolis :bJohn Wiley & Sons,c2012. aIndianapolis : bJohn Wiley & Sons,c2012. axxvii, 475 pages :billustrations,c24 cm. atextbtxt2rdacontent aunmediatedbn2rdamedia avolumebnc2rdacarrier1 aWrox programmer to programmer aIncludes index.0 a1. Introducing R: what it is and how to get it -- 2. Starting out: becoming familiar with R -- 3. Starting out: working with objects -- 4. Data: descriptive statistics and tabulation -- 5. Data: distribution -- 6. Simple hypothesis testing -- 7. Introduction to graphical analysis -- 8. Formula notation and complex statistics -- 9. Manipulating data and extracting components -- 10. Regression (linear modeling) -- 11. More about graphs -- 12. Writing your own scripts: beginning to program. aConquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming R, the open source statistical language increasingly used to handle statistics and produces publication quality graphs, is notoriously complex. This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs. Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression. Provides beginning programming instruction for those who want to write their own scripts Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence. 0aR (Computer program language) 0aStatisticsxData processing. 0aProgramming languages (Electronic computers) 0aProgrammer to programmer. a7bcbcccopycatd2encipf20gy-gencatlg 2ddccBK 00102ddc40708ComputingaKNOWbKNOWd2023-11-20l0o005.133 GA.B 2012p212169r2023-11-20 12:23:36v765.81w2023-11-20yBK 00102ddc40708ComputingaKNOWbKNOWd2023-11-20l0o005.133 GA.B 2012p212170r2023-11-20 12:24:29v765.81w2023-11-20yBK aAmr.KhattabbPd20231120 amona.romiabRd20231121 c1404d1404