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 |
| Reference manual: | ggQQunif.pdf |
| 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-devel (arm64): ggQQunif_0.1.5.tgz, r-release (arm64): ggQQunif_0.1.5.tgz, r-oldrel (arm64): ggQQunif_0.1.5.tgz, r-devel (x86_64): 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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