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Item Title:

The Art of R Programming: A Tour of Statistical Software Design- -Used

Category:

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Item Condition: Used
Current Time:18 Jan 17 07:35:23
Time & Date displayed is forUnited States - EDT
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Quantity: (10 Available)
Price per item: £17.99 ($21.87)

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Item Specifics - Books ISBN : 9781593273842
Author : Norman Matloff
17.99 16739285 The Art of R Programming: A Tour of Statistical Software Design http://medium.snazal.com/?9781593273842 http://large.snazal.com/?9781593273842 Norman Matloff 9781593273842 9781593273842 Media Books 20
Lot # 16739285
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Title: The Art of R Programming: A Tour of Statistical Software Design

Author(s): Norman Matloff
Publisher:
ISBN: 9781593273842
Sku Code: 9781593273842
Media > Books
The Art of R Programming: A Tour of Statistical Software Design
Description:
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:Create artful graphs to visualize complex data sets and functionsWrite more efficient code using parallel R and vectorizationInterface R with C/C++ and Python for increased speed or functionalityFind new R packages for text analysis, image manipulation, and moreSquash annoying bugs with advanced debugging techniquesWhether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

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