000 02959nam a22003975i 4500
001 978-0-387-75936-4
003 DE-He213
005 20250710084023.0
007 cr nn 008mamaa
008 100505s2008 xxu| s |||| 0|eng d
020 _a9780387759364
_a99780387759364
024 7 _a10.1007/978-0-387-75936-4
_2doi
100 1 _aChambers, John.
_eauthor.
245 1 0 _aSoftware for Data Analysis
_h[recurso electrónico] :
_bProgramming with R /
_cby John Chambers.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2008.
300 _aXIV, 501 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_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 _aSTATISTICS.
650 0 _aMATHEMATICAL STATISTICS.
650 1 4 _aSTATISTICS.
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
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SMA
942 _2ddc
_cER
999 _c58738
_d58738