Interviews | August 23, 2016

### Powell's Interview: Jonathan Safran Foer

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I'll write in a lot of different directions at once without any objectives other than to write in a way that feels energetic and interesting to me...

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### Synopses & Reviews

#### Publisher Comments

Why learn R? Because it's rapidly becoming the standard for developing statistical software. *R in a Nutshell* 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.

The 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.

- Understand the basics of the language, including the nature of R objects
- Learn how to write R functions and build your own packages
- Work with data through visualization, statistical analysis, and other methods
- Explore the wealth of packages contributed by the R community
- Become familiar with the lattice graphics package for high-level data visualization
- Learn about bioinformatics packages provided by Bioconductor

"I am excited about this book. *R in a Nutshell* 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."

--Martin Schultz, Arthur K. Watson Professor of Computer Science, Yale University

#### Synopsis

If youre 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. Youll 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 Rs 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

### About the Author

Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.

### Table of Contents

### Product Details

- ISBN:
- 9781449312084
- Binding:
- Trade Paperback
- Publication date:
- 10/19/2012
- Publisher:
- O'Reilly Media
- Language:
- English
- Edition:
- 2
- Pages:
- 699
- Height:
- 1.60IN
- Width:
- 6.00IN
- Thickness:
- 1.75
- Illustration:
- Yes
- Copyright Year:
- 2012
- Author:
- Author:
- Media Run Time:
- B
- Subject:
- Mathematics -- Software.
- Subject:
- analysis;analysis of variance;data;data analysis;data modelling;data visualization;graphics;informatics;r;statistics;variance;visualization

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1 | Burnside |

1 | Cedar Hills |