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Visualizing balances of compositional data: a new alternative to balance dendrograms

Quinn, Thomas P 2018, Visualizing balances of compositional data: a new alternative to balance dendrograms, F1000research, vol. 7, pp. 1-15, doi: 10.12688/f1000research.15858.1.

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Title Visualizing balances of compositional data: a new alternative to balance dendrograms
Author(s) Quinn, Thomas PORCID iD for Quinn, Thomas P orcid.org/0000-0003-0286-6329
Journal name F1000research
Volume number 7
Article ID 1278
Start page 1
End page 15
Total pages 15
Publisher F1000Research
Place of publication London, Eng.
Publication date 2018-08-14
ISSN 2046-1402
2046-1402
Keyword(s) compositional data
coda
balances
ilr
visualization
rstats
r
Summary Balances have become a cornerstone of compositional data analysis. However, conceptualizing balances is difficult, especially for high-dimensional data. Most often, investigators visualize balances with the balance dendrogram, but this technique is not necessarily intuitive and does not scale well for large data. This manuscript introduces the 'balance' package for the R programming language. This package visualizes balances of compositional data using an alternative to the balance dendrogram. This alternative contains the same information coded by the balance dendrogram, but projects data on a common scale that facilitates direct comparisons and accommodates high-dimensional data. By stripping the branches from the tree, 'balance' can cleanly visualize any subset of balances without disrupting the interpretation of the remaining balances. As an example, this package is applied to a publicly available meta-genomics data set measuring the relative abundance of 500 microbe taxa.
Language eng
DOI 10.12688/f1000research.15858.1
HERDC Research category C2 Other contribution to refereed journal
Copyright notice ©2018, Quinn TP
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30114070

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.