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:

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