R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. R. Subsequent chapters explain the salient features of the main fitting function nls (), the use of model diagnostics, how to deal with various model departures, and carry out hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered.
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R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. R. Subsequent chapters explain the salient features of the main fitting function nls (), the use of model diagnostics, how to deal with various model departures, and carry out hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Use R! |
Release date | November 2008 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2008 |
Authors | Christian Ritz, Jens Carl Streibig |
Dimensions | 235 x 155 x 8mm (L x W x T) |
Format | Paperback |
Pages | 148 |
Edition | 2008 ed. |
ISBN-13 | 978-0-387-09615-5 |
Barcode | 9780387096155 |
Categories | |
LSN | 0-387-09615-9 |