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fastqq  

Faster Generation of Quantile Quantile Plots with Large Samples
View on CRAN: Click here


Download and install fastqq package within the R console
Install from CRAN:
install.packages("fastqq")

Install from Github:
library("remotes")
install_github("cran/fastqq")

Install by package version:
library("remotes")
install_version("fastqq", "0.1.3")



Attach the package and use:
library("fastqq")
Maintained by
Gudmundur Einarsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-19
Latest Update: 2022-10-25
Description:
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.
How to cite:
Gudmundur Einarsson (2021). fastqq: Faster Generation of Quantile Quantile Plots with Large Samples. R package version 0.1.3, https://cran.r-project.org/web/packages/fastqq. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 0.1.2 (2021-08-19 11:40), 0.1.3 (2022-10-25 08:05), 0.1.4 (2026-03-13 08:50)
Other packages that cited fastqq R package
View fastqq citation profile
Other R packages that fastqq depends, imports, suggests or enhances
Complete documentation for fastqq
Functions, R codes and Examples using the fastqq R package
Some associated functions: drop_dense . qq . qqnorm . qqplot . 
Some associated R codes: RcppExports.R . fastqq-package.R . qq.R . zzz.R .  Full fastqq package functions and examples
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