R in a Nutshell: A Desktop Quick Reference
ISBN-13:
9781449312084
ISBN-10:
144931208X
Edition:
2nd ed.
Author:
Joseph Adler
Publication date:
2012
Publisher:
O'Reilly Media
Format:
Paperback
721 pages
FREE US shipping
Book details
ISBN-13:
9781449312084
ISBN-10:
144931208X
Edition:
2nd ed.
Author:
Joseph Adler
Publication date:
2012
Publisher:
O'Reilly Media
Format:
Paperback
721 pages
Summary
R in a Nutshell: A Desktop Quick Reference (ISBN-13: 9781449312084 and ISBN-10: 144931208X), written by authors
Joseph Adler, was published by O'Reilly Media in 2012.
With an overall rating of 4.1 stars, it's a notable title among other
Information Theory
(Computer Science, Computer Simulation, Data Modeling & Design, Databases & Big Data, Data Mining, Data Processing, Mathematical & Statistical, Software, Bioinformatics, Biological Sciences) books. You can easily purchase or rent R in a Nutshell: A Desktop Quick Reference (Paperback, Used) from BooksRun,
along with many other new and used
Information Theory
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $1.83.
Description
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.
- Get started quickly with an R tutorial and hundreds of examples
- Explore R syntax, objects, and other language details
- Find thousands of user-contributed R packages online, including Bioconductor
- Learn how to use R to prepare data for analysis
- Visualize your data with R’s graphics, lattice, and ggplot2 packages
- Use R to calculate statistical fests, fit models, and compute probability distributions
- Speed up intensive computations by writing parallel R programs for Hadoop
- Get a complete desktop reference to R
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