- We will send in 10–14 business days.
/images/books/9930190/9781449312084.jpg)
- Author: Joseph Adler
- Publisher: O'Reilly Media
- ISBN-10: 144931208X
- ISBN-13: 9781449312084
- Format: 15.2 x 22.9 x 4.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
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
EXTRA 10 % discount with code: EXTRA
The promotion ends in 17d.13:33:20
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Joseph Adler
- Publisher: O'Reilly Media
- ISBN-10: 144931208X
- ISBN-13: 9781449312084
- Format: 15.2 x 22.9 x 4.1 cm, softcover
- Language: English English
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
Reviews