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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.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 form https://CRAN.R-project.org/package=ggQQunif to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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