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A Proven Guide for Easily Using R to Effectively Analyze DataLike its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides 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
Table of Contents
An Introduction to R. Data Analysis Using Graphical Displays. Simple Inference. Conditional Inference. Analysis of Variance. Simple and Multiple Linear Regression. Logistic Regression and Generalized Linear Models. Density Estimation. Recursive Partitioning. Scatterplot Smoothers and Generalized Additive Models. Survival Analysis. Analyzing Longitudinal Data I. Analyzing Longitudinal Data II. Simultaneous Inference and Multiple Comparisons. Meta-Analysis. Principal Component Analysis. Multidimensional Scaling. Cluster Analysis. Bibliography. Index.
Brian S. Everitt is Professor Emeritus at King's College, University of London.
Torsten Hothorn is Professor of Biostatistics in the Institut fur Statistik at Ludwig-Maximilians-Universit?Munchen.