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.

**Book year:**
2014

**Book pages:**
207

**ISBN:**
1482204584

**Book language:**
en

**File size:**
2.79 MB

**File type:**
pdf

**Published:**
17 January 2020 - 17:00

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