The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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-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 |
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.
Health stats visible at Monitor.