Package: fastqq 0.1.3
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_0.1.3.tar.gz
fastqq_0.1.3.zip(r-4.5)fastqq_0.1.3.zip(r-4.4)fastqq_0.1.3.zip(r-4.3)
fastqq_0.1.3.tgz(r-4.4-x86_64)fastqq_0.1.3.tgz(r-4.4-arm64)fastqq_0.1.3.tgz(r-4.3-x86_64)fastqq_0.1.3.tgz(r-4.3-arm64)
fastqq_0.1.3.tar.gz(r-4.5-noble)fastqq_0.1.3.tar.gz(r-4.4-noble)
fastqq_0.1.3.tgz(r-4.4-emscripten)fastqq_0.1.3.tgz(r-4.3-emscripten)
fastqq.pdf |fastqq.html✨
fastqq/json (API)
NEWS
| # 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 2 years agofrom:9ee5ed14af. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 08 2024 |
| R-4.5-win-x86_64 | OK | Sep 08 2024 |
| R-4.5-linux-x86_64 | OK | Sep 08 2024 |
| R-4.4-win-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-aarch64 | OK | Sep 08 2024 |
| R-4.3-win-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-aarch64 | OK | Sep 08 2024 |
Exports:drop_denseqqqqnormqqplot
Dependencies:Rcpp
