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Sinopsis
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His 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. This is the only advanced programming book on R, written by the author of the S language from which R evolved.
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John 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.
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Software for Data Analysis: Programming with R
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Springer Science and Business Media, New York, 2008
ISBN 10: 1441926127
ISBN 13: 9781441926128
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The only advanced programming book on RWritten by the author of the S languague from which R evolvedJohn Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader. Nº de ref. del artículo: 4173119
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Software for Data Analysis: Programming with R (Statistics and Computing)
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Software for Data Analysis
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Springer New York Nov 2010, 2010
ISBN 10: 1441926127
ISBN 13: 9781441926128
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -John 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. 516 pp. Englisch. Nº de ref. del artículo: 9781441926128
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Software for Data Analysis: Programming with R (Statistics and Computing)
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Software for Data Analysis : Programming with R
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Springer New York, Springer US, 2010
ISBN 10: 1441926127
ISBN 13: 9781441926128
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - John 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. Nº de ref. del artículo: 9781441926128
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Software for Data Analysis: Programming with R
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Springer-Verlag New York Inc., 2010
ISBN 10: 1441926127
ISBN 13: 9781441926128
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