『A Handbook of Statistical Analyses Using R』

Brian S. Everitt & Torsten Hothorn

(2006年2月17日刊行,Chapman & Hall/CRCISBN:1584885394



【目次】

AN INTRODUCTION TO R

What Is R?
Installing R
Help and Documentation
Data Objects in R
Data Import and Export
Basic Data Manipulation
Simple Summary Statistics
Organising an Analysis
Summary

SIMPLE INFERENCE

Introduction
Statistical Tests
Analysis Using R
Summary

CONDITIONAL INFERENCE

Introduction
Conditional Test Procedures
Analysis Using R
Summary

ANALYSIS OF VARIANCE

Introduction
Analysis of Variance
Analysis Using R
Summary

MULTIPLE LINEAR REGRESSION

Introduction
Multiple Linear Regression
Analysis Using R
Summary

LOGISTIC REGRESSION AND GENERALISED LINEAR MODELS

Introduction
Logistic Regression and Generalised Linear Models
Analysis Using R
Summary

DENSITY ESTIMATION

Introduction
Density Estimation
Analysis Using R
Summary

RECURSIVE PARTITIONING

Introduction
Recursive Partitioning
Analysis Using R
Summary

SURVIVAL ANALYSIS

Introduction
Survival Analysis
Analysis Using R
Summary

ANALYSING LONGITUDINAL DATA I

Introduction
Analysing Longitudinal Data
Linear Mixed Effects models
Analysis Using R
Prediction of Random Effects
The Problem of Dropouts
Summary

ANALYSING LONGITUDINAL DATA II

Introduction
Generalised Estimating Equations
Analysis Using R
Summary

META-ANALYSIS

Introduction
Systematic Reviews and Meta-Analysis
Analysis Using R
Meta-Regression
Publication Bias
Summary

PRINCIPAL COMPONENT ANALYSIS

Introduction
Principal Component Analysis
Analysis Using R
Summary

MULTIDIMENSIONAL SCALING

Introduction
Multidimensional Scaling
Analysis Using R
Summary

CLUSTER ANALYSIS

Introduction
Cluster Analysis
Analysis Using R
Summary

BIBLIOGRAPHY
INDEX