Beginning R: An Introduction to Statistical Programming, 2nd EditionКНИГИ » ПРОГРАММИНГ
Автор: Joshua Wiley Название: Beginning R: An Introduction to Statistical Programming, 2nd Edition Издательство: Apress Год: 2015 ISBN: 978-1484203743 Язык: English Формат: pdf Размер: 10,8 mb Страниц: 327
This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3.
R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.
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Beginning R: An Introduction to Statistical Programming, 2nd Edition 
