Author Description
Learning How To Get Answers From Data Is An Integral Part Of Modern Training In The Natural, Physical, Social, And Engineering Sciences. One Of The Most Exciting Changes In Data Management And Analysis During The Last Decade Has Been The Growth Of Open Source Software. The Open Source Statistics And Programming Language R Has Emerged As A Critical Component Of Any Researcher's Toolbox. Indeed, R Is Rapidly Becoming The Standard Software For Analyses, Graphical Presentations, And Programming In The Biological Sciences. This Book Provides A Functional Introduction For Biologists New To R. While Teaching How To Import, Explore, Graph, And Analyse Data, It Keeps Readers Focused On Their Ultimate Goals - Communicating Their Data In Oral Presentations, Posters, Papers, And Reports. It Also Provides A Consistent Method (workflow) For Using R That Is Simple, Efficient, Reliable, Accurate, And Reproducible. The Material In The Book Reproduces The Engaging And Sometimes Humorous Nature Of The Three-day Course On Which It Is Based.
Menrva's Summary
THE THESIS
This book investigates how researchers in the biological sciences can effectively utilize the R programming language to manage, analyze, and visualize data. The authors, Andrew P. Beckerman and Owen L. Petchey, draw upon their experience teaching intensive workshops to provide a structured, functional introduction to R. They argue that adopting a consistent, reproducible workflow is necessary for modern scientific communication, whether in papers, posters, or oral presentations.
THE SCOPE MAP
What You Will Find
- Fundamental R syntax and programming concepts for beginners
- Methods for data importation, exploration, and graphical presentation
- A standardized, reproducible workflow for statistical analysis
- Practical exercises based on a three-day instructional course
Scope Limits
- Advanced statistical modeling or complex machine learning techniques
- Comprehensive software engineering or package development
- Non-biological data applications
THE AUTHORITY PERSPECTIVE
Readers frequently note the accessible, conversational tone of the text, which mirrors the authors' live workshop environment. Experts highlight this as a practical, foundational resource for biologists who require a functional entry point into statistical programming.
Page Count:
128
Publication Date:
2012-01-01
ISBN-10:
0191624152
ISBN-13:
9780191624155
Science
Reference
Biology
Statistics
Data Analysis
Programming