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 "balance dendrograms". However, this visualization tool does not scale well for large data. This package provides an alternative scheme for visualizing balances, described in [Quinn (2018) <doi:10.12688/f1000research.15858.1>]. This package also provides a method for principal balance analysis.
Version: | 0.2.4 |
Depends: | R (≥ 3.2.2) |
Imports: | methods, ggplot2, grid |
Suggests: | ape, ggthemes, knitr, philr, propr, reshape2, rmarkdown, robCompositions, testthat, vegan |
Published: | 2019-07-10 |
Author: | Thomas Quinn [aut, cre] |
Maintainer: | Thomas Quinn <contacttomquinn at gmail.com> |
BugReports: | http://github.com/tpq/balance/issues |
License: | GPL-2 |
URL: | http://github.com/tpq/balance |
NeedsCompilation: | no |
Citation: | balance citation info |
Materials: | README NEWS |
CRAN checks: | balance results |
Reference manual: | balance.pdf |
Vignettes: |
Visualize Balances of Compositional Data |
Package source: | balance_0.2.4.tar.gz |
Windows binaries: | r-devel: balance_0.2.4.zip, r-release: balance_0.2.4.zip, r-oldrel: balance_0.2.4.zip |
macOS binaries: | r-release: balance_0.2.4.tgz, r-oldrel: balance_0.2.4.tgz |
Old sources: | balance archive |
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