Step-by-step lab-oriented instruction enables hands-on learning of R for biological data analysis
Covers essential statistical tests including t-tests, ANOVA, regression, and outlier detection for comprehensive data analysis
Includes chapters on advanced procedures and programming algorithms to build analytical skills
Updated terminology and examples ensure relevance with the latest R versions
Practical guidance on data visualization using common R plots for clear data communication
Summarized by Shop
This text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. This second edition has been revised to be current with the versions of R software released since the book’s original publication. It features updated terminology, sources, and examples throughout.