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Titlebook: Analyzing Compositional Data with R; K. Gerald van den Boogaart,Raimon Tolosana-Delgado Book 2013 Springer-Verlag Berlin Heidelberg 2013 C

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31#
發(fā)表于 2025-3-26 20:59:07 | 只看該作者
Vesna Rijavec,Wendy Kennett,Tja?a Ivanc and statistical tests. Since all of these methods depend on every value of the dataset, we cannot ignore them in any task. Some ad hoc procedures are needed, with the same aims as the classical methods, but which can still be computed despite the existence of irregular data. It is necessary to . th
32#
發(fā)表于 2025-3-27 02:52:57 | 只看該作者
https://doi.org/10.1007/978-3-031-04950-7ackages are now available to treat compositional data within it. This book is at the same time a textbook on compositional data analysis from a modern perspective and a sort of manual on the .-package “compositions”: both . and “compositions” are available for download as free software. This chapter
33#
發(fā)表于 2025-3-27 05:38:52 | 只看該作者
34#
發(fā)表于 2025-3-27 11:44:21 | 只看該作者
Book 2013n, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software..The book is intended for scientist
35#
發(fā)表于 2025-3-27 16:58:37 | 只看該作者
36#
發(fā)表于 2025-3-27 19:26:17 | 只看該作者
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發(fā)表于 2025-3-27 22:21:42 | 只看該作者
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發(fā)表于 2025-3-28 03:02:53 | 只看該作者
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發(fā)表于 2025-3-28 07:41:20 | 只看該作者
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發(fā)表于 2025-3-28 10:41:37 | 只看該作者
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