A handbook of statistical analyses using R

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Title:

Author:

Everitt, Brian.

ISBN:

9781420079333

Personal Author:

Everitt, Brian.

Edition:

2nd ed.

Publication Information:

Boca Raton, Fla. ; London : CRC/Chapman & Hall, 2010 [i.e. 2009].

Physical Description:

355 p. : ill. ; 24 cm.

General Note:

Formerly CIP.

Contents:

1. An Introduction to R -- 2. Data Analysis Using Graphical Displays -- 3. Simple Inference -- 4. Conditional Inference -- 5. Analysis of Variance -- 6. Simple and Multiple Linear Regression -- 7. Logistic Regression and Generalised Linear Models --8. Density Estimation -- 9. Recursive Partitioning -- 10. Smoothers and Generalised Additive Models -- 11. Survival Analysis -- 12. Analysing Longitudinal Data I -- 13. Analysing Longitudinal Data II -- 14. Simultaneous Inference and Multiple Comparisons -- 15. Meta-Analysis -- 16. Principal Component Analysis -- 17. Multidimensional Scaling -- 18. Cluster Analysis.

Subject Term:

Mathematical statistics -- Data processing -- Handbooks, manuals, etc.

R (Computer program language) -- Handbooks, manuals, etc.

Added Author:

Hothorn, Torsten.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025594215	519.50285 E93H 2010	1	Searching... Unknown

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Summary

A Proven Guide for Easily Using R to Effectively Analyze Data

Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Editionprovides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references.

New to the Second Edition

New chapters on graphical displays, generalized additive models, and simultaneous inference A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution New examples and additional exercises in several chapters A new version of the HSAUR package (HSAUR2), which is available from CRAN

This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.