GreggHartvigsen
A Primer in Biological Data Analysis and Visualization Using R
A Primer in Biological Data Analysis and Visualization Using R
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences, emphasizing the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data. It covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data.
Format: Hardback
Length: 216 pages
Publication date: 29 June 2021
Publisher: Columbia University Press
R, the most widely used open-source statistical and programming environment for the analysis and visualization of biological data, has been authored by Gregg Hartvigsen, a renowned expert in biostatistics and modeling biological systems. This comprehensive text serves as an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Hartvigsen emphasizes the significance of R and RStudio in organizing, computing, and visualizing biological statistics and data, guiding readers through the processes of correctly entering and analyzing data using R. He covers various topics such as testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests, including one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. Additionally, this volume includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R.
The second edition of this text has been revised to remain current with the latest versions of R software released since its original publication. It features updated terminology, sources, and examples throughout, ensuring that readers are equipped with the most up-to-date knowledge and skills in this field. Whether you are a life sciences student or a professional seeking to enhance your statistical analysis capabilities, R is an essential tool that will empower you to unlock the hidden insights within your biological data.
Dimension: 254 x 178 (mm)
ISBN-13: 9780231202121
Edition number: second edition
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