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:Gudmundur Einarsson [aut, cre], Hafsteinn Einarsson [aut]

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'))

Peer review:

Bug tracker:https://github.com/gumeo/fastqq/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

visualization

3.00 score 2 stars 7 scripts 242 downloads 4 exports 1 dependencies

Last updated 2 years agofrom:9ee5ed14af. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:drop_denseqqqqnormqqplot

Dependencies:Rcpp