397,16 €
441,29 €
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An R Companion to Applied Regression
397,16 € 
- We will send in 10–14 business days.
An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and…
441.29
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- Author: John Fox
- Publisher: SAGE Publications, Inc
- ISBN-10: 1544336470
- ISBN-13: 9781544336473
- Format: 17.8 x 25.2 x 3.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition, and include coverage of RStudio and R Markdown.EXTRA 10 % discount with code: EXTRA
397,16 €
441,29 €
We will send in 10–14 business days.
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- Author: John Fox
- Publisher: SAGE Publications, Inc
- ISBN-10: 1544336470
- ISBN-13: 9781544336473
- Format: 17.8 x 25.2 x 3.1 cm, minkšti viršeliai
- Language: English English
An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition, and include coverage of RStudio and R Markdown.
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