Software Fundamentals Programming Statistical by Lafaye Micheaux (11 results)
Language: English
Published by Springer, 2014
- Hardcover
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Hardcover. Condition: New.
Language: English
Published by Springer-Verlag New York Inc, 2014
- Hardcover
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Hardcover. Condition: Brand New. 628 pages. 9.00x6.25x1.25 inches. In Stock.
Language: English
Published by Humana, 2016
- Softcover
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Taschenbuch. Condition: Neu. The R Software | Fundamentals of Programming and Statistical Analysis | Pierre Lafaye De Micheaux (u. a.) | Taschenbuch | Statistics and Computing | xxxvii | Englisch | 2016 | Humana | EAN 9781493941438 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing, 40, Band 40)
Lafaye de Micheaux, Pierre, Rémy Drouilhet and Benoit Liquet:
Language: English
Published by Springer, 2016
- Softcover
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paperback. Condition: Gut. 665 Seiten; 9781493941438.3 Gewicht in Gramm: 2.
Language: English
Published by Springer, 2016
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Language: English
Published by Springer, Humana, 2016
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can s…erve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
Language: English
Published by Springer, 2014
- Hardcover
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer, 2016
- Softcover
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2016
- Softcover
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Condition: New. Print on Demand pp. 628.
Language: English
Published by Humana, Springer, 2014
- Hardcover
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book c…an serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.
Language: English
Published by Springer, 2016
- Softcover
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Condition: New. PRINT ON DEMAND pp. 628.
