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propr  

Calculating Proportionality Between Vectors of Compositional Data
View on CRAN: Click here


Download and install propr package within the R console
Install from CRAN:
install.packages("propr")

Install from Github:
library("remotes")
install_github("cran/propr")

Install by package version:
library("remotes")
install_version("propr", "4.2.6")



Attach the package and use:
library("propr")
Maintained by
Thomas Quinn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-06
Latest Update: 2022-11-10
Description:
The bioinformatic evaluation of gene co-expression often begins withcorrelation-based analyses. However correlation lacks validity whenapplied to relative data including count data generated by next-generationsequencing. This package implements several metrics for proportionality includingphi Lovell et al 2015 DOI10.1371journal.pcbi.1004075 andrho Erb and Notredame 2016 DOI10.1007s12064-015-0220-8. This package alsoimplements several metrics for differential proportionality. Unlike correlationthese measures give the same result for both relative and absolute data.
How to cite:
Thomas Quinn (2016). propr: Calculating Proportionality Between Vectors of Compositional Data. R package version 4.2.6, https://cran.r-project.org/web/packages/propr. Accessed 28 Mar. 2025.
Previous versions and publish date:
1.1.0 (2016-07-06 09:44), 2.0.0 (2016-08-27 14:22), 2.0.1 (2016-09-30 08:30), 2.0.4 (2016-10-31 07:57), 2.1.1 (2016-12-22 00:50), 2.1.2 (2017-02-02 01:29), 2.1.8 (2017-03-09 08:18), 2.2.0 (2017-04-19 05:58), 3.0.4 (2017-06-02 07:26), 3.0.6 (2017-08-01 06:54), 3.0.7 (2017-09-07 05:17), 3.1.1 (2017-11-13 07:24), 3.1.2 (2017-12-15 00:31), 3.1.4 (2018-01-18 21:25), 3.1.8 (2018-03-21 23:43), 3.1.9 (2018-04-19 06:10), 3.5.1 (2018-05-09 05:44), 4.0.0 (2018-07-25 09:20), 4.1.1 (2018-11-19 13:20), 4.1.6 (2019-07-10 07:00), 4.2.6 (2019-12-16 07:10)
Other packages that cited propr R package
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Other R packages that propr depends, imports, suggests or enhances
Functions, R codes and Examples using the propr R package
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