R Primer Second Edition

This book PDF is perfect for those who love Mathematics genre, written by Claus Thorn Ekstrom and published by CRC Press which was released on 24 February 2017 with total hardcover pages 427. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related R Primer Second Edition books below.

R Primer Second Edition

Author	: Claus Thorn Ekstrom
File Size	: 55,8 Mb
Publisher	: CRC Press
Language	: English
Release Date	: 24 February 2017
ISBN	: 9781351803731
Pages	: 427 pages

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R Primer Second Edition by Claus Thorn Ekstrom Book PDF Summary

Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.

R Primer Second Edition by Claus Thorn Ekstrom

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Advanced R Second Edition by Hadley Wickham

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations

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The R Book by Michael J. Crawley

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to

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Advanced R Second Edition by Hadley Wickham

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Data Mining by Richard J. Roiger

Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner

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Statistical Computing with R Second Edition by Maria L. Rizzo

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an

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Analyzing Baseball Data with R Second Edition by Max Marchi,Jim Albert,Benjamin S. Baumer

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format

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A Primer in Biological Data Analysis and Visualization Using R by Gregg Hartvigsen

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the

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