R in a Nutshell (In a Nutshell (O'Reilly))

Adler, Joseph

ISBN 10: 144931208X / ISBN 13: 9781449312084

Verlag: O'Reilly Media, 2012

Beschreibung

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Bestandsnummer des Verkäufers M0144931208X-G

Bibliografische Details

• Titel: R in a Nutshell (In a Nutshell (O'Reilly))
• Verlag: O'Reilly Media
• Veröffentlichungsdatum: 2012
• Sprache: Englisch
• ISBN-10: 144931208X
• ISBN-13: 9781449312084
• Bindung: Softcover
• Ausgabe: 2. Auflage
• Zustand: good

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.