Package: dcmodify 0.9.0

Mark van der Loo

dcmodify: Modify Data Using Externally Defined Modification Rules

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.

Authors:Mark van der Loo [cre, aut], Edwin de Jonge [aut], Sjabbo Schaveling [ctb], Floris Ruijter [ctb]

dcmodify_0.9.0.tar.gz
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dcmodify.pdf |dcmodify.html
dcmodify/json (API)
NEWS

# Install 'dcmodify' in R:
install.packages('dcmodify', repos = c('https://data-cleaning.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/data-cleaning/dcmodify/issues

On CRAN:

Conda:

6.24 score 10 stars 58 scripts 390 downloads 17 exports 5 dependencies

Last updated 10 months agofrom:2a19e3f199. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winWARNINGMar 11 2025
R-4.5-macWARNINGMar 11 2025
R-4.5-linuxWARNINGMar 11 2025
R-4.4-winWARNINGMar 11 2025
R-4.4-macWARNINGMar 11 2025
R-4.4-linuxWARNINGMar 11 2025
R-4.3-winWARNINGMar 11 2025
R-4.3-macWARNINGMar 11 2025

Exports:as_yamldescriptiondescription<-do_byexport_yamllabellabel<-max_bymean_bymin_bymodifiermodifymodify_sooriginorigin<-sum_byvariables

Dependencies:lumberjackR6settingsvalidateyaml

Introduction to dcmodify

Rendered fromintroduction.mdusingsimplermarkdown::mdweave_to_htmlon Mar 11 2025.

Last update: 2024-03-27
Started: 2023-03-15