A Handbook of Statistical Analyses using R
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Like the best-selling first two editions, this third edition provides an up-to-date guide to data analysis using the R system for statistical computing. It explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. Along with more exercises and more detailed explanations of R code, this edition includes three new chapters on quantile regression, missing values, and Bayesian inference. An updated version of the HSAUR package (HSAUR3) is available from CRAN.
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.
Get A Handbook of Statistical Analyses using R by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Inc and it has pages.
