Data mashups in R

This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R pa...

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Bibliographic Details
Main Author: Leipzig, Jeremy
Other Authors: Li, Xiao- Li
Format: eBook
Language:English
Published: Sebastopol, Calif. O'Reilly 2009
Edition:1st ed
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in statistical analysis. We will be accessing spatial data in several formats-html, xml, shapefiles, and text-locally and over the web to produce a map of home foreclosure auctions and perform statistical analysis on these events
Item Description:Title from homepage (Safari, viewed September 24, 2009)
Physical Description:29 pages
ISBN:9780596804770