Description
Book Synopsis: Compositional data are quantitative descriptions of the parts of some whole, conveying exclusively relative information. Examples are found in various fields, including geology, medicine, chemistry, agriculture, economics, social science, etc. This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.
Details
Unlock the power of compositional data analysis with the comprehensive guide, Compositional Data Analysis in Practice. Whether you're in geology, medicine, chemistry, agriculture, or any other field that deals with quantitative descriptions, this book is a must-have resource. Learn how to effectively analyze compositional data using R, with real-life examples and code snippets that make complex concepts easy to understand.
Take your data analysis skills to the next level and make informed decisions based on relative information. With Chapman & Hall/CRC Interdisciplinary Statistics, you'll gain practical insights that can be applied immediately in your research or work projects. From data visualization to advanced statistical techniques, this book covers it all in a concise and accessible format.
Don't miss out on the opportunity to elevate your analytical capabilities and stand out in your field. Order your copy of Compositional Data Analysis in Practice today and embark on a journey of discovery and mastery. Enhance your data analysis toolkit with proven strategies and best practices that will set you apart as a top performer in your industry.
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