The Little SAS® Book: A Primer, Third Edition
by Lora D. Delwiche; Susan J. Slaughter
Statistics Hacks
by Bruce Frey
Head First Statistics
by Dawn Griffiths
Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Second Edition
by David M. Levine Ph.D.; David F. Stephan
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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