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.

Package details

AuthorThomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb]
MaintainerThomas Quinn <[email protected]>
LicenseGPL-2
Version4.0.0
URL http://github.com/tpq/propr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("propr")

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propr documentation built on July 26, 2018, 9:03 a.m.