02607cam a22003975i 4500 9138 9138 19387717 OSt 20200307104223.0 161128t20162016nyua 001 0 eng d 2016285382 9781107576469 (Hardback) (OCoLC)ocn944156501 YDXCP eng YDXCP rda OCLCQ YDX OCLCO OUP OCLCF HF9 BNG DLC lccopycat QA276.45.R3 B73 2016 519.502 855 133 BRA M 23 Braun, John, 1963- author. A first course in statistical programming with R / W. John Braun and Duncan J. Murdoch. Second edition. New York, NY, USA : Cambridge University Press, 2016. xiv, 215 pages : illustrations (some color) ; 25 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes index. This new color edition of Braun and Murdoch's bestselling textbook integrates use of the R Studio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis-- Provided by publisher. R (Computer program language) Statistics Data processing. Murdoch, Duncan James, 1959- author. Contributor biographical information https://www.loc.gov/catdir/enhancements/fy1701/2016285382-b.html Publisher description https://www.loc.gov/catdir/enhancements/fy1701/2016285382-d.html Table of contents only https://www.loc.gov/catdir/enhancements/fy1701/2016285382-t.html 7 cbc copycat 2 ncip 20 y-gencatlg ddc RFT