Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing.

One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book 54 useful and practical tasks to improve working systems Includes optimizing performance and ...

This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope.

This second edition continues to encompass the traditional core material of computational statistics, with an

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the ...

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis.

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables.

The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.