A Handbook of Statistical Analyses using R

<P>Like the best-selling first two editions, <STRONG>A Handbook of Statistical Analyses using R, Third Edition</STRONG> 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.</P><P><STRONG>New to the Third Edition</STRONG></P><UL><P><LI>Three new chapters on quantile regression, missing values, and Bayesian inference</LI><LI>Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables</LI><LI>Additional exercises</LI><LI>More detailed explanations of R code</LI><LI>New section in each chapter summarizing the results of the analyses </LI><LI>Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses</LI><P></P></UL><P></P><P>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.</P>