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]

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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'))

Peer review:

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

On CRAN:

17 exports 10 stars 6.22 score 5 dependencies 55 scripts 443 downloads

Last updated 4 months agofrom:2a19e3f199. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winWARNINGSep 12 2024
R-4.5-linuxWARNINGSep 12 2024
R-4.4-winWARNINGSep 12 2024
R-4.4-macWARNINGSep 12 2024
R-4.3-winWARNINGSep 12 2024
R-4.3-macWARNINGSep 12 2024

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

Dependencies:lumberjackR6settingsvalidateyaml

Introduction to dcmodify

Rendered fromintroduction.mdusingsimplermarkdown::mdweave_to_htmlon Sep 12 2024.

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