Introduction to Data Analysis with R for Forensic ScientistsStatistical 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 focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers:
Focusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their experiments by allowing them to cogently analyze the data they have collected, saving valuable time and effort.

What people are saying  Write a review
Contents
Introduction  1 
Basic statistics  7 
Graphics  45 
Hypothesis tests and sampling theory  79 
The linear model  117 
Modeling count and proportion data  211 
The design of experiments  257 
295  
Back cover  301 
Other editions  View all
Introduction to Data Analysis with R for Forensic Scientists James Michael Curran No preview available  2010 