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008 150903s2008 xxu| o |||| 0|eng d
020 _a9780387759364
_99780387759364
024 7 _a10.1007/9780387759364
_2doi
035 _avtls000332646
039 9 _a201509030234
_bVLOAD
_c201404122218
_dVLOAD
_c201404091948
_dVLOAD
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aChambers, John.
_eautor
_9303640
245 1 0 _aSoftware for Data Analysis :
_bProgramming with R /
_cby John Chambers.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2008.
300 _axiv, 501 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStatistics and Computing,
_x1431-8784
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387759357
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-75936-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c279356
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