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fastqq
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.fastqq . https://github.com/gumeo/fastqq/issues . https://github.com/gumeo/fastqq . fastqq results . fastqq.pdf . fastqq_0.1.3.tar.gz . fastqq_0.1.3.zip . fastqq_0.1.3.zip . fastqq_0.1.3.zip . fastqq_0.1.3.tgz . fastqq_0.1.3.tgz . fastqq_0.1.3.tgz . fastqq_0.1.3.tgz . fastqq archive . https://CRAN.R-project.org/package=fastqq .
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 04 May. 2025.
Previous versions and publish date:
0.1.2 (2021-08-19 11:40)
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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