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Synopsis
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.
Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
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About the Author
Gregg Hartvigsen is a professor in the Department of Biology at the State University of New York at Geneseo. He taught a workshop on network analysis using R at the National Institute for Mathematical and Biological Synthesis at the University of Tennessee, Knoxville, and was a visiting scientist and site reviewer for the Mathematical Biosciences Institute at Ohio State University. He also served as co-PI on a National Science Foundation training grant for undergraduate biology and mathematics.
Review
An excellent, easy-to-read introduction to biostatistics and the software program R. Simple but rigorous, with top-notch coverage of R. I would recommend this book to both colleagues and students. (Andy Conway, Princeton University)
A recommendation for any college-level course strong in biostatistics and modeling...a fine guide for science and R programming students alike. (Midwest Book Review)
Hartvigsen has succeeded in accomplishing his stated objectives. Buy the book and share the knowledge with students... the book is relevant, timely, and just what is needed with current trends in science education. (Ecology)
A well-written overview of both biostatistics and R programming.... this volume will fill an important niche for undergraduate biology. (Quarterly Review of Biology)
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- PublisherColumbia University Press
- Publication date2014
- ISBN 10 0231166990
- ISBN 13 9780231166997
- BindingPaperback
- LanguageEnglish
- Number of pages234
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