Package: datacutr 0.2.4

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_0.2.4.tar.gz
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datacutr_0.2.4.tgz(r-4.6-any)datacutr_0.2.4.tgz(r-4.5-any)
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datacutr_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
datacutr/json (API)
NEWS

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

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

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

Datasets:

On CRAN:

Conda:

7.36 score 17 stars 12 scripts 216 downloads 10 exports 59 dependencies

Last updated from:9b69615e89. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK201
linux-release-x86_64OK167
macos-release-arm64OK114
macos-oldrel-arm64OK119
windows-develOK114
windows-releaseOK180
windows-oldrelOK111
wasm-releaseOK133

Exports:apply_cutcreate_dcutdate_cutdrop_temp_varsimpute_dcutdtcimpute_sdtmprocess_cutpt_cutread_outspecial_dm_cut

Dependencies:admiraldevassertthatbase64encbrewbslibcachemcallrclicommonmarkcpp11descdigestdplyrevaluatefastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclelubridatemagrittrmemoisemimepillarpkgbuildpkgconfigpkgloadprocessxpspurrrR6rappdirsreactablereactRrlangrmarkdownroxygen2rprojrootsassstringistringrtibbletidyrtidyselecttimechangetinytexutf8vctrswithrxfunxml2yaml

Applying a Variable Date Cut

Rendered fromvariable_cut.Rmdusingknitr::rmarkdownon May 15 2026.

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

Contribution to {datacutr}

Rendered fromcontribution_model.Rmdusingknitr::rmarkdownon May 15 2026.

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

Example Modular Approach

Rendered fromexamplemodular.Rmdusingknitr::rmarkdownon May 15 2026.

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

Example Wrapped Approach

Rendered fromexamplewrapped.Rmdusingknitr::rmarkdownon May 15 2026.

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

Get Started

Rendered fromdatacutr.Rmdusingknitr::rmarkdownon May 15 2026.

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

Modular Approach

Rendered frommodular.Rmdusingknitr::rmarkdownon May 15 2026.

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

Wrapped Approach

Rendered fromwrapper.Rmdusingknitr::rmarkdownon May 15 2026.

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