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HKSYU Library

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    LEADER 02963cam a2200349 i 4500
    001
    991008191569607546
    005
    20240506094711.0
    008
    120821s20132013flua b 001 0 eng d
    010
     
     
    a| 2012025219
    020
     
     
    a| 9781439875407 q| (pbk.)
    020
     
     
    a| 1439875405 q| (pbk.)
    035
     
     
    a| b48565015-852julac_network
    035
     
     
    a| (julac-retro)12406442
    040
     
     
    a| DLC e| rda b| eng c| DLC d| YDX d| BTCTA d| UKMGB d| OCLCO d| YDXCP d| HK-SYU
    050
     
    4
    a| QA276.45.R3 b| D46 2013
    082
    0
    0
    a| 519.50285/5133 2| 23
    092
    0
     
    a| 519.502855133 b| DEN 2013
    100
    1
     
    a| Dennis, Brian, d| 1952-
    245
    1
    4
    a| The R student companion / c| Brian Dennis.
    264
     
    1
    a| Boca Raton, FL : b| CRC Press, Taylor & Francis Group, c| [2013]
    300
     
     
    a| xvii, 339 pages : b| illustrations ; c| 24 cm
    336
     
     
    a| text 2| rdacontent
    337
     
     
    a| unmediated 2| rdamedia
    338
     
     
    a| volume 2| rdacarrier
    504
     
     
    a| Includes bibliographical references and index.
    520
     
     
    a| "Preface R is a computer package for scientific graphs and calculations. It is written and maintained by statisticians and scientists, for scientists to use in their work. It is easy to use, yet is extraordinarily powerful. R is spreading rapidly throughout the science and technology world, and it is setting the standards for graphical data displays in science publications. R is free. It is an open-source product that is easy to install on most computers. It is available for Windows, Mac, and Unix/Linux operating systems. One simply downloads and installs it from the R website (http:// www.r-project.org/). This book is for high school and college students, and anyone else, who want to learn to use R. With this book, you can put your computer to work in powerful fashion, in any subject that uses applied mathematics. In particular, physics, life sciences, chemistry, earth science, economics, engineering, and business involve much analysis, modeling, simulation, statistics, and graphing. These quantitative applications become remarkably straightforward and understandable when performed with R. Difficult concepts in mathematics and statistics become clear when illustrated with R. The book starts from the beginning and assumes the reader has no computer programming background. The mathematical material in the book requires only a moderate amount of high school algebra. R makes graphing calculators seem awkward and obsolete. The calculators are hard to learn, cumbersome to use for anything but tiny problems, and the graphs are small and have poor resolution. Calculating in R by comparison is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort"-- c| Provided by publisher.
    650
     
    0
    a| R (Computer program language)
    650
     
    0
    a| Probabilities.
    650
     
    0
    a| Mathematical statistics x| Data processing.
    910
     
     
    b| wlc c| wsl
    998
     
     
    a| book b| 11-12-23
    945
     
     
    h| Supplement l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| GED217