A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R
Gregg Hartvigsen
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NZ$ 72.99
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NZ$ 60.22
Paperback
h254 x 178mm - 216pg
29 Jun 2021 US
International import eta 10-30 days
9780231202138
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R is a popular programming language that statisticians use to perform a variety of statistical computing tasks. Rooted in Gregg Hartvigsen's extensive experience teaching biology, 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 to the organization, computation, and visualization of biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to express data in histograms, boxplots, barplots, scatterplots, before/after line plots, pie charts, and graphs. He covers data normality, outliers, and nonnormal data and examines frequently used statistical tests with one value and one sample; paired samples; more than two samples across a single factor; correlation; and linear regression. The volume also includes a section on advanced procedures and a final chapter on possible extensions into programming, featuring a discussion of algorithms, the art of looping, and combining programming and output.
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
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.
Status: Active
ISBN-13: 9780231202138
Published: 29 Jun 2021
Published In: United States
Imprint: Columbia University Press
Publisher: Columbia University Press
Format: Paperback
Height: 254mm
Width: 178mm
Pages: 216

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