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ggquickeda  

Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ggquickeda", "0.3.1")



Attach the package and use:
library("ggquickeda")
Maintained by
Samer Mouksassi
[Scholar Profile | Author Map]
First Published: 2018-04-25
Latest Update: 2023-03-26
Description:
Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
How to cite:
Samer Mouksassi (2018). ggquickeda: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables. R package version 0.3.1, https://cran.r-project.org/web/packages/ggquickeda. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2018-04-25 12:15), 0.1.1 (2018-09-27 07:00), 0.1.2 (2019-02-24 17:00), 0.1.3 (2019-04-10 14:02), 0.1.4 (2019-09-03 15:50), 0.1.5 (2019-10-07 14:20), 0.1.6 (2020-04-17 16:00), 0.1.7 (2020-07-21 11:50), 0.1.8 (2020-11-05 18:40), 0.1.9 (2020-12-16 14:40), 0.2.0 (2021-02-15 13:40), 0.2.1 (2021-06-22 16:00), 0.2.2 (2022-05-16 13:40), 0.3.0 (2023-03-26 12:20)
Other packages that cited ggquickeda R package
View ggquickeda citation profile
Other R packages that ggquickeda depends, imports, suggests or enhances
Complete documentation for ggquickeda
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