R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

Adler, Joseph

ISBN 10: 144931208X / ISBN 13: 9781449312084

Verlag: O'Reilly Media, 2012

Beschreibung

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_438153840

Bibliografische Details

Titel: R in a Nutshell: A Desktop Quick Reference (...

Verlag: O'Reilly Media

Erscheinungsdatum: 2012

Einband: Paperback

Zustand: Very Good

Auflage: 2. Auflage

Über diesen Titel

Inhaltsangabe:

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

Über die Autorin bzw. den Autor:

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.