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An R Companion to Applied Regression (Paperback, 3rd Revised edition)
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An R Companion to Applied Regression (Paperback, 3rd Revised edition)
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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 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. "An R
Companion to Applied Regression continues to provide the most
comprehensive and user-friendly guide to estimating, interpreting,
and presenting results from regression models in R." -Christopher
Hare, University of California, Davis
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