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clickR  

Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clickR", "0.9.45")



Attach the package and use:
library("clickR")
Maintained by
David Hervas Marin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-21
Latest Update: 2023-08-07
Description:
Tools for assessing data quality, performing exploratory analysis, and semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.
How to cite:
David Hervas Marin (2016). clickR: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning. R package version 0.9.45, https://cran.r-project.org/web/packages/clickR. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.8 (2016-11-21 12:01), 0.1.12 (2016-12-07 08:43), 0.2.0 (2017-02-20 19:09), 0.2.9 (2017-07-05 09:09), 0.3.27 (2017-09-02 18:54), 0.3.29 (2017-09-06 17:35), 0.3.38 (2017-10-29 21:20), 0.3.64 (2018-04-21 17:17), 0.4.05 (2018-06-21 18:52), 0.4.20 (2018-10-17 22:40), 0.4.32 (2019-04-19 11:40), 0.4.40 (2019-12-12 13:30), 0.4.47 (2020-02-29 20:10), 0.5.27 (2020-12-07 17:00), 0.6.64 (2021-03-12 16:40), 0.7.35 (2021-04-24 16:10), 0.8.0 (2021-08-10 17:00), 0.8.3 (2022-09-24 23:30), 0.9.39 (2023-08-07 19:40), 0.9.43 (2024-09-17 17:40)
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