Exploring Everyday Things with R and Ruby
Explorers Ahoy!Data, Data, EverywhereBringing the World to UsPacking Your BagsConventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments RubyWhy RubyInstalling RubyInstalling Ruby from sourceInstalling Ruby using third-party toolsRuby Version Manager (RVM)RubyInstallerInstalling Ruby using your platform’s package management toolRunning RubyRequiring Extern
R Tutorial — R Tutorial
Introductory Materials¶ These materials are designed to offer an introduction to the use of R. It is not exhaustive, but is designed to just provide the basics. It has been developed for students who are new to R but have had some basic experience working with computers. Thank You!¶ I have received a great deal of feedback from a number of people for various errors, typos, and dumb things. Thank y
Springer | Partner, knowledge, expertise
With a portfolio of over 2,700 journals and over 220,000 books, Springer is a global leader in academic and scientific publishing. We empower authors to share impactful research, enable readers to access trusted content, and collaborate with institutions and communities to advance knowledge worldwide. Whether you're publishing cutting-edge science or foundational texts, Springer provides the reach
Use R! | Book titles in this series
R by Example Authors: Jim AlbertMaria Rizzo Copyright: 2024 Available Renditions Soft cover eBook Heart Rate Variability Analysis with the R package RHRV Authors: Constantino Antonio García MartínezAbraham Otero QuintanaXosé A. VilaMaría José Lado Touriño Copyright: 2024 Available Renditions Soft cover eBook
Use R!
This series of inexpensive and focused books on R is aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, econometrics, psychometrics) or as it relates to statistical topics (e.g., missing data, longitudinal data). In most cases, books combine LaTeX and R so that the code for figures and tables can be put on a website. Authors should assume a bac
Bayesian Computation With R
Website for the book Bayesian Computation With R by Jim Albert ISBN: 978-0-387-71384-7 Second Edition is now available. Order from the Springer website. Table of Contents An Introduction to R Introduction to Bayesian Thinking Single-Parameter Models Multiparameter Models Introduction to Bayesian Computation Markov Chain Monte Carlo Methods Hierarchical Modeling Model Comparison Regression
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http://mjin.doshisha.ac.jp/iwanami/
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Applied Regression 3E