Package: ggQQunif 0.1.5

ggQQunif: Compare Big Datasets to the Uniform Distribution

A quantile-quantile plot can be used to compare a sample of p-values to the uniform distribution. But when the dataset is big (i.e. > 1e4 p-values), plotting the quantile-quantile plot can be slow. geom_QQ uses all the data to calculate the quantiles, but thins it out in a way that focuses on points near zero before plotting to speed up plotting and decrease file size, when vector graphics are stored.

Authors:Robert Corty [aut, cre]

ggQQunif_0.1.5.tar.gz
ggQQunif_0.1.5.zip(r-4.7-any)ggQQunif_0.1.5.zip(r-4.6-any)ggQQunif_0.1.5.zip(r-4.5-any)
ggQQunif_0.1.5.tgz(r-4.6-any)ggQQunif_0.1.5.tgz(r-4.5-any)
ggQQunif_0.1.5.tar.gz(r-4.7-any)ggQQunif_0.1.5.tar.gz(r-4.6-any)
ggQQunif_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ggQQunif/json (API)

# Install 'ggQQunif' in R:
install.packages('ggQQunif', repos = c('https://rcorty.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rcorty/ggqqunif/issues

On CRAN:

Conda:

3.60 score 8 stars 3 scripts 294 downloads 3 exports 25 dependencies

Last updated from:4af43e0e78. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE97
source / vignettesOK142
linux-releaseNOTE96
macos-releaseNOTE108
macos-oldrelNOTE102
windows-develNOTE63
windows-releaseNOTE62
windows-oldrelNOTE61
wasm-releaseOK81

Exports:geom_QQ_unifscale_x_QQscale_y_QQ

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
geom_QQ_unifgeom_QQ_unif
scale_x_QQscale_x_QQ scale_y_QQ