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A Handbook of Statistical Analyses Using R

A Handbook of Statistical Analyses Using R by Torsten Hothorn
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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
CRC Press; Read online
Title: A Handbook of Statistical Analyses Using R
Author: Torsten Hothorn; Brian S. Everitt
 
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