A Primer in Biological Data Analysis and Visualization Using R

By: Gregg Hartvigsen

Sign Up Now! Already a Member? Log In
You must be logged into Bookshare to access this title. Learn about membership options, or view our freely available titles.

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.

Book Quality:: Publisher Quality
Book Size:: 160 Pages
ISBN-13:: 9780231537049
Related ISBNs:: 9780231166980
Publisher:: Columbia University Press
Date of Addition:: 12/03/20
Copyrighted By:: Gregg Hartvigsen
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Education, Mathematics and Statistics, Medicine, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.