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ggstats
View on CRAN: Click
here
Download and install ggstats package within the R console
Install from CRAN:
install.packages("ggstats")
Install from Github:
library("remotes")
install_github("cran/ggstats")
Install by package version:
library("remotes")
install_version("ggstats", "0.8.0")
Attach the package and use:
library("ggstats")
Maintained by
Joseph Larmarange
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ggstats . https://github.com/larmarange/ggstats/issues . https://larmarange.github.io/ggstats/ . https://github.com/larmarange/ggstats . ggstats results . ggstats.pdf . ggstats_0.8.0.tar.gz . ggstats_0.8.0.zip . ggstats_0.8.0.zip . ggstats_0.8.0.zip . ggstats_0.8.0.tgz . ggstats_0.8.0.tgz . ggstats_0.8.0.tgz . ggstats_0.8.0.tgz . ggstats_0.8.0.tgz . ggstats_0.8.0.tgz . ggstats archive . https://CRAN.R-project.org/package=ggstats .
First Published: 2022-10-17
Latest Update: 2023-08-13
Description:
Provides new statistics, new geometries and new positions for
'ggplot2' and a suite of functions to facilitate the creation of
statistical plots.
How to cite:
Joseph Larmarange (2022). ggstats: Extension to 'ggplot2' for Plotting Stats. R package version 0.8.0, https://cran.r-project.org/web/packages/ggstats. Accessed 19 Feb. 2025.
Previous versions and publish date:
Other packages that cited ggstats R package
View ggstats citation profile
Other R packages that ggstats depends,
imports, suggests or enhances
Complete documentation for ggstats
Functions, R codes and Examples using
the ggstats R package
Some associated functions: augment_chisq_add_phi . geom_stripped_rows . ggcoef_model . gglikert . ggstats-package . ggsurvey . label_number_abs . position_likert . reexports . signif_stars . stat_cross . stat_prop . stat_weighted_mean . weighted.median .
Some associated R codes: geom_stripped_rows.R . ggcoef_model.R . gglikert.R . ggstats-package.R . ggsurvey.R . label_number_abs.R . position_likert.R . signif_stars.R . stat_cross.R . stat_prop.R . stat_weighted_mean.R . weighted_quantile.R . Full ggstats package functions and examples
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