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ggQQunif: Compare Big Datasets to the Uniform Distribution

A quantile-quantile plot can be used to compare a sample of p-values to the uniform distribution. But when the dataset is big (i.e. > 1e4 p-values), plotting the quantile-quantile plot can be slow. geom_QQ uses all the data to calculate the quantiles, but thins it out in a way that focuses on points near zero before plotting to speed up plotting and decrease file size, when vector graphics are stored.

Version:0.1.5
Imports:scales,ggplot2,dplyr
Published:2018-03-14
DOI:10.32614/CRAN.package.ggQQunif
Author:Robert Corty [aut, cre]
Maintainer:Robert Corty <rcorty at gmail.com>
License:GPL-3
NeedsCompilation:no
Materials:README
CRAN checks:ggQQunif results

Documentation:

Reference manual:ggQQunif.html ,ggQQunif.pdf

Downloads:

Package source: ggQQunif_0.1.5.tar.gz
Windows binaries: r-devel:ggQQunif_0.1.5.zip, r-release:ggQQunif_0.1.5.zip, r-oldrel:ggQQunif_0.1.5.zip
macOS binaries: r-release (arm64):ggQQunif_0.1.5.tgz, r-oldrel (arm64):ggQQunif_0.1.5.tgz, r-release (x86_64):ggQQunif_0.1.5.tgz, r-oldrel (x86_64):ggQQunif_0.1.5.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ggQQunifto link to this page.


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