propr: Calculating Proportionality Between Vectors of Compositional Data

The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, correlation lacks validity when applied to relative data, including count data generated by next-generation sequencing. This package implements several metrics for proportionality, including phi [Lovell et al (2015) <doi:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <doi:10.1007/s12064-015-0220-8>]. This package also implements several metrics for differential proportionality. Unlike correlation, these measures give the same result for both relative and absolute data.

Version: 4.2.6
Depends: methods, R (≥ 3.2.2)
Imports: fastcluster, ggplot2, grDevices, igraph, Rcpp, stats, utils
LinkingTo: Rcpp
Suggests: ALDEx2, Biobase, cccrm, compositions, data.table, datasets, grid, ggdendro, knitr, limma, parallel, plotly, reshape2, rgl, rmarkdown, SDMTools, testthat, vegan
Published: 2019-12-16
Author: Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb], Ryan Moore [ctb]
Maintainer: Thomas Quinn <contacttomquinn at>
License: GPL-2
NeedsCompilation: yes
Citation: propr citation info
Materials: README NEWS
CRAN checks: propr results


Reference manual: propr.pdf
Vignettes: 1. An Introduction to Proportionality
2. Understanding Proportionality through Visualization
3. A Brief Critique of Proportionality
4. An Introduction to Differential Proportionality
5. Moderating Differential Proportionality
Frequently Asked Questions


Package source: propr_4.2.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): propr_4.2.6.tgz, r-oldrel (arm64): propr_4.2.6.tgz, r-release (x86_64): propr_4.2.6.tgz, r-oldrel (x86_64): propr_4.2.6.tgz
Old sources: propr archive

Reverse dependencies:

Reverse imports: CiteFuse, RaceID, timeOmics
Reverse suggests: MiRKAT


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