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dcmodify  

Modify Data Using Externally Defined Modification Rules
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dcmodify", "0.9.0")



Attach the package and use:
library("dcmodify")
Maintained by
Mark van der Loo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-06
Latest Update: 2024-03-28
Description:
Data cleaning scripts typically contain a lot of 'if this change that' type of statements. Such statements are typically condensed expert knowledge. With this package, such 'data modifying rules' are taken out of the code and become in stead parameters to the work flow. This allows one to maintain, document, and reason about data modification rules as separate entities.
How to cite:
Mark van der Loo (2017). dcmodify: Modify Data Using Externally Defined Modification Rules. R package version 0.9.0, https://cran.r-project.org/web/packages/dcmodify. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 0.1.1 (2017-10-06 18:49), 0.1.2 (2018-07-30 18:00), 0.1.5 (2021-04-29 12:10), 0.1.9 (2021-09-24 11:40), 0.8.0 (2023-04-07 19:10)
Other packages that cited dcmodify R package
View dcmodify citation profile
Other R packages that dcmodify depends, imports, suggests or enhances
Complete documentation for dcmodify
Functions, R codes and Examples using the dcmodify R package
Some associated functions: dcmodify . modifier-class . modifier . modify . modify_so . reexports . 
Some associated R codes: dplyr_verbs.R . guard.R . modifier.R . modify.R . validate.R .  Full dcmodify package functions and examples
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