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Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focus

Intended for forensic scientists and students, this book provides the necessary statistical tools and methodology for introducing forensic glass evidence into the laboratory. It contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms. The authors present both the physical and chemical examinations performed on glass along with their interpretations. With free software available for downloading at the authors'web site, scientists can apply their own data and draw conclusions using the principles detailed in the text.