Head First Statistics
by Dawn Griffiths
The Little SAS® Book: A Primer, Third Edition
by Lora D. Delwiche; Susan J. Slaughter
SAS® Programming by Example
by Ron Cody; Ray Pass
SAS® for Mixed Models, Second Edition
by Ramon C. Littell Ph.D.; George A Milliken Ph.D.; Walter W. Stroup Ph.D.; Russell D. Wolfinger Ph.D.; Oliver Schabenberger Ph.D.
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.
Top Level Categories:
Business
Graphics
Software Engineering
Sub-Categories:
Business > Statistics
Graphics > Data Format
Software Engineering > Data Structures
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