Modern Regression Techniques Using R: A Practical Guide
Book information
Description
In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books’ webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.
Similar books
R in Action: Data Analysis and Graphics with R (Additional materials)
RAR
Using R for Data Analysis and Graphics: Introduction, Code and Commentary
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
R Data Visualization Cookbook
Теория пространственных точечных процессов в задачах экологии и природопользования (с применением пакета R)
RAR
Environmental Stats for S-Plus: User's Manual for Version 2.0
RMark: An R Interface for Analysis of Capture-Recapture Data with MARK