A Handbook of Statistical Analyses using R
eBook - PDF

A Handbook of Statistical Analyses using R

  1. 456 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

A Handbook of Statistical Analyses using R

About this book

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

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Yes, you can access A Handbook of Statistical Analyses using R by Torsten Hothorn,Brian S. Everitt in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2014
Print ISBN
9781138469792
eBook ISBN
9781482204599
Edition
3
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Dedication
  3. Contents
  4. Preface to Third Edition
  5. Preface to Second Edition
  6. Preface to First Edition
  7. List of Figures
  8. List of Tables
  9. Chapter 1 - An Introduction to R
  10. Chapter 2 - Data Analysis Using Graphical Displays: Malignant Melanoma in the US and Chinese Health and Family Life
  11. Chapter 3 - Simple Inference: Guessing Lengths, Wave Energy, Water Hardness, Piston Rings, and Rearrests of Juveniles
  12. Chapter 4 - Conditional Inference: Guessing Lengths, Suicides, Gastrointestinal Damage, and Newborn Infants
  13. Chapter 5 - Analysis of Variance: Weight Gain, Foster Feeding in Rats, Water Hardness, and Male Egyptian Skulls
  14. Chapter 6 - Simple and Multiple Linear Regression: How Old is the Universe and Cloud Seeding
  15. 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
  16. Chapter 8 - Density Estimation: Erupting Geysers and Star Clusters
  17. Chapter 9 - Recursive Partitioning: Predicting Body Fat, Glaucoma Diagnosis, and Happiness in China
  18. 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
  19. Chapter 11 - Survival Analysis: Glioma Treatment and Breast Cancer Survival
  20. Chapter 12 - Quantile Regression: Head Circumference for Age
  21. Chapter 13 - Analyzing Longitudinal Data I: Computerized Delivery of Cognitive Behavioral Therapy – Beat the Blues
  22. Chapter 14 - Analyzing Longitudinal Data II – Generalized Estimation Equations and Linear Mixed Effect Models: Treating Respiratory Illness and Epileptic Seizures
  23. Chapter 15 - Simultaneous Inference and Multiple Comparisons: Genetic Components of Alcoholism, Deer Browsing Intensities, and Cloud Seeding
  24. Chapter 16 - Missing Values: Lowering Blood Pressure During Surgery
  25. Chapter 17 - Meta-Analysis: Nicotine Gum and Smoking Cessation and the Efficacy of BCG Vaccine in the Treatment of Tuberculosis
  26. Chapter 18 - Incorporating Prior Knowledge via Bayesian Inference: Smoking and Lung Cancer
  27. Chapter 19 - Principal Component Analysis: The Olympic Heptathlon
  28. Chapter 20 - Multidimensional Scaling: British Water Voles and Voting in US Congress
  29. Chapter 21 - Cluster Analysis: Classifying Romano-British Pottery and Exoplanets
  30. Bibliography
  31. Back Cover