A Handbook of Statistical Analyses using R, Third Edition (3rd New edition)

A Handbook of Statistical Analyses using R, Third Edition (3rd New edition)

By: Brian S. Everitt (author), Torsten Hothorn (author)Paperback

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Description

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.

Contents

Introduction Density Estimation Analysis Using R Summary of Findings Final Comments Recursive Partitioning Introduction Recursive Partitioning Analysis Using R Summary of Findings Final Comments ? ? ? Scatterplot Smoothers and Additive Models Introduction ? ? ? Scatterplot Smoothers and Generalised Additive Models ? ? ? Analysis Using R ? ? ? Summary of Findings Final Comments Survival Analysis Introduction ? ? ? Survival Analysis ? ? ? Analysis Using R ? ? ? Summary of Findings Final Comments ? ? ? Quantile Regression Introduction ? ? ? Quantile Regression ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments ? ? ? Analysing Longitudinal Data I Introduction ? ? ? Analysing Longitudinal Data ? ? ? Linear Mixed Effects Models ? ? ? Analysis Using R ? ? ? Prediction of Random Effects ? ? ? The Problem of Dropouts ? ? ? Summary of Findings ? ? ? Final Comments Analysing Longitudinal Data II Introduction ? ? ? Methods for Non-Normal Distributions ? ? ? Analysis Using R: GEE ? ? ? Analysis Using R: Random Effects Summary of Findings ? ? ? Final Comments ? ? ? Simultaneous Inference and Multiple Comparisons Introduction ? ? ? Simultaneous Inference and Multiple Comparisons ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments Missing Values Introduction ? ? ? The Problems of Missing Data ? ? ? Dealing with Missing Values ? ? ? Imputing Missing Values ? ? ? Analyzing Multiply Imputed Data ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments Meta-Analysis Introduction ? ? ? Systematic Reviews and Meta-Analysis ? ? ? Statistics of Meta-Analysis ? ? ? Analysis Using R ? ? ? Meta-Regression ? ? ? Publication Bias ? ? ? Summary of Findings ? ? ? Final Comments ? ? ? Bayesian Inference Introduction ? ? ? Bayesian Inference ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments ? ? ? Principal Component Analysis Introduction ? ? ? Principal Component Analysis ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments Multidimensional Scaling Introduction ? ? ? Multidimensional Scaling ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments ? ? ? Cluster Analysis Introduction ? ? ? Cluster Analysis ? ? ? Analysis Using R ? ? ? Summary of Findings ? ? ? Final Comments Bibliography Index

Product Details

  • ISBN13: 9781482204582
  • Format: Paperback
  • Number Of Pages: 456
  • ID: 9781482204582
  • weight: 660
  • ISBN10: 1482204584
  • edition: 3rd New edition

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