A Handbook of Statistical Analyses using R, 3rd Edition

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.

New to the Third Edition

• Three new chapters on quantile regression, missing values, and Bayesian inference
• Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
• Additional exercises
• More detailed explanations of R code
• New section in each chapter summarizing the results of the analyses
• Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses

Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.

Table of Contents

Chapter 1 – An Introduction to R
Chapter 2 – Data Analysis Using Graphical Displays: Malignant Melanoma in the US and Chinese Health and Family Life
Chapter 3 – Simple Inference: Guessing Lengths, Wave Energy, Water Hardness, Piston Rings, and Rearrests of Juveniles
Chapter 4 – Conditional Inference: Guessing Lengths, Suicides, Gastrointestinal Damage, and Newborn Infants
Chapter 5 – Analysis of Variance: Weight Gain, Foster Feeding in Rats, Water Hardness, and Male Egyptian Skulls
Chapter 6 – Simple and Multiple Linear Regression: How Old is the Universe and Cloud Seeding
Chapter 7 – Logistic Regression and Generalized Linear Models: Blood Screening, Women’s Role in Society, Colonic Polyps, Driving and Back Pain, and Happiness in China
Chapter 8 – Density Estimation: Erupting Geysers and Star Clusters
Chapter 9 – Recursive Partitioning: Predicting Body Fat, Glaucoma Diagnosis, and Happiness in China
Chapter 10 – Scatterplot Smoothers and Generalized Additive Models: The Men’s Olympic 1500m, Air Pollution in the US, Risk Factors for Kyphosis, and Women’s Role in Society
Chapter 11 – Survival Analysis: Glioma Treatment and Breast Cancer Survival
Chapter 12 – Quantile Regression: Head Circumference for Age
Chapter 13 – Analyzing Longitudinal Data I: Computerized Delivery of Cognitive Behavioral Therapy – Beat the Blues
Chapter 14 – Analyzing Longitudinal Data II – Generalized Estimation Equations and Linear Mixed Effect Models: Treating Respiratory Illness and Epileptic Seizures
Chapter 15 – Simultaneous Inference and Multiple Comparisons: Genetic Components of Alcoholism, Deer Browsing Intensities, and Cloud Seeding
Chapter 16 – Missing Values: Lowering Blood Pressure During Surgery
Chapter 17 – Meta-Analysis: Nicotine Gum and Smoking Cessation and the Efficacy of BCG Vaccine in the Treatment of Tuberculosis
Chapter 18 – Incorporating Prior Knowledge via Bayesian Inference: Smoking and Lung Cancer
Chapter 19 – Principal Component Analysis: The Olympic Heptathlon
Chapter 20 – Multidimensional Scaling: British Water Voles and Voting in US Congress
Chapter 21 – Cluster Analysis: Classifying Romano-British Pottery and Exoplanets