Package: datacutr 0.2.2

Tim Barnett

datacutr: SDTM Datacut

Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.

Authors:Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]

datacutr_0.2.2.tar.gz
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datacutr_0.2.2.tgz(r-4.4-any)datacutr_0.2.2.tgz(r-4.3-any)
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datacutr.pdf |datacutr.html
datacutr/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/pharmaverse/datacutr/issues

Pkgdown site:https://pharmaverse.github.io

Datasets:

On CRAN:

7.33 score 14 stars 11 scripts 282 downloads 10 exports 49 dependencies

Last updated 5 days agofrom:c7ec916daf. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 10 2025
R-4.5-winOKJan 10 2025
R-4.5-linuxOKJan 10 2025
R-4.4-winOKJan 10 2025
R-4.4-macOKJan 10 2025
R-4.3-winOKJan 10 2025
R-4.3-macOKJan 10 2025

Exports:apply_cutcreate_dcutdate_cutdrop_temp_varsimpute_dcutdtcimpute_sdtmprocess_cutpt_cutread_outspecial_dm_cut

Dependencies:admiraldevassertthatbase64encbslibcachemclicpp11digestdplyrevaluatefansifastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclelubridatemagrittrmemoisemimepillarpkgconfigpurrrR6rappdirsreactablereactRrlangrmarkdownsassstringistringrtibbletidyrtidyselecttimechangetinytexutf8vctrswithrxfunyaml

Applying a Variable Date Cut

Rendered fromvariable_cut.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22

Contribution to {datacutr}

Rendered fromcontribution_model.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2023-03-22
Started: 2023-03-22

Example Modular Approach

Rendered fromexamplemodular.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22

Example Wrapped Approach

Rendered fromexamplewrapped.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22

Get Started

Rendered fromdatacutr.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22

Modular Approach

Rendered frommodular.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22

Wrapped Approach

Rendered fromwrapper.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2024-10-30
Started: 2023-03-22