| A Handbook of Statistical Analyses Using R Contributor(s): Hothorn, Torsten (Author), Everitt, Brian S. (Author) |
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ISBN: 1138469793 ISBN-13: 9781138469792 Publisher: CRC Press OUR PRICE: $228.00 Product Type: Hardcover - Other Formats Published: December 2017 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Computers | Programming Languages - General - Computers | Mathematical & Statistical Software |
| Dewey: 519.502 |
| Physical Information: 304 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |