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020 _a9781107576469
040 _cVITAP
082 _a519.502855133 BRA
_223rd
100 _aBraun, W. John
_98096
245 _aA First Course in Statistical Programming with R /
_cW. John Braun and Duncan J. Murdoch
250 _a2nd ed.
260 _bCambridge University Press
_c2016
_aNew York
300 _axiv,215p,:
505 _aThis new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio 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. Self-contained and accessible to anyone familiar with university-level calculus The basics of R syntax and statistical graphics are explained with real R code Programming ideas, including good, efficient style and debugging, are introduced Applications in simulation and optimization as well as numerical linear algebra are discussed
650 0 _98097
_aR (Computer Program Language); Statistics--Data Processing; Statistics
700 _98098
_aMurdoch, Duncan J.
856 _uhttps://www.cambridge.org/jo/academic/subjects/statistics-probability/computational-statistics-machine-learning-and-information-sc/first-course-statistical-programming-r-2nd-edition?format=PB&isbn=9781107576469
942 _2ddc
_cBK