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Автор: Mark Gardener
Название: Beginning R: The Statistical Programming Language
Издательство: Wrox
Год: 2012
ISBN: 9781118164303
Язык: English
Формат: pdf
Размер: 15,3 mb
Страниц: 504
R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.
– R, the open source statistical language increasingly used to handle statistics and produces publication-quality graphs, is notoriously complex
– This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used
– Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs
– Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression
– Provides beginning programming instruction for those who want to write their own scripts
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Автор: daromir 27-07-2018, 18:20 | Напечатать |
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Statistics for Data Science Название: Statistics for Data Science Автор: James D. Miller Издательство: Packt Publishing Год: 2017 Формат: PDF Размер: 3 Мб Язык: английский /... |
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Beginning R: The Statistical Programming Language 
