000			03067nam a22004575i 4500
001			978-0-387-75936-4
003			DE-He213
005			20161121231209.0
007			cr nn 008mamaa
008			100505s2008 xxu| s |||| 0|eng d
020			_a9780387759364 _9978-0-387-75936-4
024	7		_a10.1007/978-0-387-75936-4 _2doi
050		4	_aQA76.75-76.765
072		7	_aUFM _2bicssc
072		7	_aCOM077000 _2bisacsh
082	0	4	_a004 _223
100	1		_aChambers, John. _eauthor.
245	1	0	_aSoftware for Data Analysis _h[electronic resource] : _bProgramming with R / _cby John Chambers.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2008.
300			_aXIV, 500 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics and Computing, _x1431-8784
505	0		_aIntroduction: Principles and Concepts -- Using R -- Programming with R: The Basics -- R Packages -- Objects -- Basic Data and Computations -- Data Visualization and Graphics -- Computing with Text -- New Classes -- Methods and Generic Functions -- Interfaces I: Using C and Fortran -- Interfaces II: Between R and Other Systems -- How R Works -- Errata and Notes for “Software for Data Analysis: Programming with R”.
520			_aJohn Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S. Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching. This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.
650		0	_aMathematics.
650		0	_aComputer software.
650		0	_aStatistics.
650	1	4	_aMathematics.
650	2	4	_aMathematical Software.
650	2	4	_aStatistics and Computing/Statistics Programs.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387759357
830		0	_aStatistics and Computing, _x1431-8784
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-75936-4
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c509973 _d509973