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A first course in statistical programming with R

Author: W John Braun; Dundan J Murdoch
Publisher: New York : Cambridge Univ Press, 2016. ©2016
Edition/Format:   eBook : Document : English : Second editionView all editions and formats
Summary:
This new color edition of Braun and Murdoch's bestselling textbook integrates use of the R Studio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Braun, John, 1963-
First course in statistical programming with R.
New York, NY : Cambridge University Press, 2016
(DLC) 2016285382
(OCoLC)944156501
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: W John Braun; Dundan J Murdoch
ISBN: 9781316451090 1316451097
OCLC Number: 953552826
Notes: Includes index.
Description: 1 online resource (xiv, 215 pages) : illustrations
Contents: Getting Started --
Introduction to the R language --
Programming statistical graphics --
Programming with R --
Simulation --
Computational linear algebra --
Numerical optimization
Responsibility: W. John Braun and Duncan J. Murdoch.

Abstract:

A new edition of a bestselling text, this book provides a first course in programming for a broad range of students who need to work with data. Based on the open-source R statistical package, it  Read more...

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'For what has come to be called data analytics, R is a remarkable tour de force. Strong skills with R programming are needed to allow really effective use. Mastering the content of this carefully Read more...

 
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