product
1671220An R Companion to Applied Regressionhttps://www.gandhi.com.mx/an-r-companion-to-applied-regression-2/phttps://gandhi.vtexassets.com/arquivos/ids/1427361/f82fc761-1266-4cc9-bf38-1757729a7c2d.jpg?v=63853066685017000015841760MXNSAGE PublicationsInStock/Ebooks/<p><strong>An R Companion to Applied Regression</strong> 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.</p><p>The <strong>Third Edition</strong> has been reorganized and 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 edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text.</p><p>"<strong>An R Companion to Applied Regression</strong> continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R."</p><p>Christopher Hare, <em>University of California, Davis</em></p>...1648560An R Companion to Applied Regression15841760https://www.gandhi.com.mx/an-r-companion-to-applied-regression-2/phttps://gandhi.vtexassets.com/arquivos/ids/1427361/f82fc761-1266-4cc9-bf38-1757729a7c2d.jpg?v=638530666850170000InStockMXN99999DIEbook20189781544336466_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_<p><strong>An R Companion to Applied Regression</strong> 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.</p><p>The <strong>Third Edition</strong> has been reorganized and 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 edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text.</p><p><strong>An R Companion to Applied Regression</strong> continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R.</p><p>Christopher Hare, <em>University of California, Davis</em></p>...(*_*)9781544336466_<p><strong>An R Companion to Applied Regression</strong> 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.</p><p>The <strong>Third Edition</strong> has been reorganized and 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 edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text.</p><p>"<strong>An R Companion to Applied Regression</strong> continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R."</p><p>Christopher Hare, <em>University of California, Davis</em></p>...9781544336466_SAGE Publicationslibro_electonico_178e8d64-7b63-3823-a3ce-b91b03917104_9781544336466;9781544336466_9781544336466Sanford WeisbergInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/sagepub-epub-7f992929-aea7-4f87-91ca-e7f68b186253.epub2018-09-27T00:00:00+00:00SAGE Publications