R in a Nutshell: A Desktop Quick Reference
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$49.99
- Buy New: $32.99
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as of 5/23/2012 06:10 EDT details
- You Save: $17.00 (34%)
In Stock
- Seller:BeauWarner
- Sales Rank:20,717
- Languages:English (Unknown), English (Original Language), English (Published)
- Media:Paperback
- Number Of Items:1
- Edition:1
- Pages:636
- Shipping Weight (lbs):1.9
- Dimensions (in):9 x 6 x 1.2
- Publication Date:January 11, 2010
- ISBN:059680170X
- EAN:9780596801700
- ASIN:059680170X
Availability:Usually ships in 1-2 business days
Features:
- ISBN13: 9780596801700
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
Editorial Reviews:
Synopsis
DIVpWhy learn R? Because it's rapidly becoming the standard for developing statistical software. iR in a Nutshell/i provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics./ppThe author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems./pulliUnderstand the basics of the language, including the nature of R objects /liliLearn how to write R functions and build your own packages /liliWork with data through visualization, statistical analysis, and other methods /liliExplore the wealth of packages contributed by the R community /liliBecome familiar with the lattice graphics package for high-level data visualization /liliLearn about bioinformatics packages provided by Bioconductor /li/ulp "I am excited about this book. iR in a Nutshell/i is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."/p/div
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