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Introduction to data analysis with R for forensic scientists.


Introduction to data analysis with R for forensic scientists.

Curran, James Michael.

CRC Press


309 pages



International forensic science and investigation series


Though having forensic scientists mostly in mind, Curran (statistics and bioinformatics, U. of Auckland, New Zealand), says that his introduction could be used by any laboratory scientists who generate more data than they have the skill or software to do justice to. He minimizes theory and mathematics and maximizes the application and practice of statistics as he explains how to analyze statistical data from forensic evidence using the open source statistics software R. His topics are basic statistics, graphics, hypothesis tests and sampling theory, the linear model, modeling count and proportion data, and the design of experiments. Each sub-chapter section contains a series of examples, then a tutorial that he highly recommends readers engage.

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Publication:Reference & Research Book News
Article Type:Brief article
Date:Nov 1, 2010
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