Package: fastqq 0.1.5
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.
Authors:
fastqq_0.1.5.tar.gz
fastqq_0.1.5.zip(r-4.7-x86_64)fastqq_0.1.5.zip(r-4.7-arm64)fastqq_0.1.5.zip(r-4.6-x86_64)fastqq_0.1.5.zip(r-4.6-arm64)fastqq_0.1.5.zip(r-4.5-x86_64)
fastqq_0.1.5.tgz(r-4.6-x86_64)fastqq_0.1.5.tgz(r-4.6-arm64)fastqq_0.1.5.tgz(r-4.5-x86_64)fastqq_0.1.5.tgz(r-4.5-arm64)
fastqq_0.1.5.tar.gz(r-4.7-arm64)fastqq_0.1.5.tar.gz(r-4.7-x86_64)fastqq_0.1.5.tar.gz(r-4.6-arm64)fastqq_0.1.5.tar.gz(r-4.6-x86_64)
fastqq_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastqq/json (API)
| # Install 'fastqq' in R: |
| install.packages('fastqq', repos = c('https://gumeo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gumeo/fastqq/issues
Last updated from:6f159b6923. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 89 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 157 | ||
| linux-release-arm64 | OK | 82 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 132 | ||
| macos-release-x86_64 | OK | 257 | ||
| macos-oldrel-arm64 | OK | 172 | ||
| macos-oldrel-x86_64 | OK | 378 | ||
| windows-devel-arm64 | OK | 329 | ||
| windows-devel-x86_64 | OK | 132 | ||
| windows-release-arm64 | OK | 314 | ||
| windows-release-x86_64 | OK | 94 | ||
| windows-oldrel-x86_64 | OK | 96 | ||
| wasm-release | OK | 85 |
Exports:drop_denseqqqqchisq1qqlogqqnormqqplot
Dependencies:Rcpp
