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.
| ISBN-13: | 9781138316430 |
| ISBN-10: | 1138316431 |
| Publisher: | CRC Press |
| Publication date: | 2018 |
| Edition description: | 1 |
| Pages: | 122 |
| Product dimensions: | Height: 9.21 Inches, Length: 6.25 Inches, Weight: 0.63493131456 Pounds, Width: 0 Inches |
| Author: | Michael J. Greenacre |
| Language: | en |
| Binding: | Paperback |
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