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ggQQunif  

Compare Big Datasets to the Uniform Distribution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggQQunif", "0.1.5")



Attach the package and use:
library("ggQQunif")
Maintained by
Robert Corty
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-14
Latest Update: 2018-03-14
Description:
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.
How to cite:
Robert Corty (2018). ggQQunif: Compare Big Datasets to the Uniform Distribution. R package version 0.1.5, https://cran.r-project.org/web/packages/ggQQunif. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for ggQQunif
Functions, R codes and Examples using the ggQQunif R package
Some associated functions: geom_QQ_unif . scale_QQ . 
Some associated R codes: geom_QQ_unif.R . scale_QQ.R .  Full ggQQunif package functions and examples
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