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>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: ggQQunif results


Reference manual: ggQQunif.pdf


Package source: ggQQunif_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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