CRAN/E | propr

propr

Calculating Proportionality Between Vectors of Compositional Data

Installation

About

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.

Citation propr citation info
github.com/tpq/propr
Bug report File report

Key Metrics

Version 4.2.6
R ≥ 3.2.2
Published 2019-12-16 1592 days ago
Needs compilation? yes
License GPL-2
CRAN checks propr results

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Maintainer

Maintainer

Thomas Quinn

contacttomquinn@gmail.com

Authors

Thomas Quinn

aut / cre

David Lovell

aut

Ionas Erb

aut

Anders Bilgrau

ctb

Greg Gloor

ctb

Ryan Moore

ctb

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

propr archive

Depends

methods
R ≥ 3.2.2

Imports

fastcluster
ggplot2
grDevices
igraph
Rcpp
stats
utils

Suggests

ALDEx2
Biobase
cccrm
compositions
data.table
datasets
grid
ggdendro
knitr
limma
parallel
plotly
reshape2
rgl
rmarkdown
SDMTools
testthat
vegan

LinkingTo

Rcpp

Reverse Imports

CiteFuse
RaceID
timeOmics

Reverse Suggests

MiRKAT