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.

fastqq: Faster Generation of Quantile Quantile Plots with Large Samples

New and faster implementations for quantile quantile plots. The package also includes a function to prune data for quantile quantile plots. This can drastically reduce the running time for large samples, for 100 million samples, you can expect a factor 80X speedup.

Version: 0.1.3
Imports: Rcpp
LinkingTo: Rcpp
Published: 2022-10-25
Author: Gudmundur Einarsson [aut, cre], Hafsteinn Einarsson [aut]
Maintainer: Gudmundur Einarsson <gudmundur.einarsson.phd at gmail.com>
BugReports: https://github.com/gumeo/fastqq/issues
License: GPL (≥ 3)
URL: https://github.com/gumeo/fastqq
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fastqq results

Documentation:

Reference manual: fastqq.pdf

Downloads:

Package source: fastqq_0.1.3.tar.gz
Windows binaries: r-devel: fastqq_0.1.3.zip, r-release: fastqq_0.1.3.zip, r-oldrel: fastqq_0.1.3.zip
macOS binaries: r-release (arm64): fastqq_0.1.3.tgz, r-oldrel (arm64): fastqq_0.1.3.tgz, r-release (x86_64): fastqq_0.1.3.tgz, r-oldrel (x86_64): fastqq_0.1.3.tgz
Old sources: fastqq archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastqq 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.