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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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
datacutr/json (API)

# 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:

7.39 score 17 stars 17 scripts 376 downloads 10 exports 60 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK173
source / vignettesOK314
linux-releaseOK168
macos-releaseOK143
macos-oldrelOK141
windows-develOK123
windows-releaseOK113
windows-oldrelOK104
wasm-releaseOK136

Exports:apply_cutcreate_dcutdate_cutdrop_temp_varsimpute_dcutdtcimpute_sdtmprocess_cutpt_cutread_outspecial_dm_cut

Dependencies:admiraldevassertthatbase64encbrewbslibcachemcallrclicommonmarkcpp11descdigestdplyrevaluatefastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclelubridatemagrittrmemoisemimeotelpillarpkgbuildpkgconfigpkgloadprocessxpspurrrR6rappdirsrdtoolsreactablereactRrlangrmarkdownroxygen2rprojrootsassstringistringrtibbletidyselecttimechangetinytexutf8vctrswithrxfunxml2yaml

Applying a Variable Date Cut
Introduction | Programming Flow | Read in Data | Create DCUT Dataset | Postprocess DCUT
Rendered fromvariable_cut.Rmdusingknitr::rmarkdown

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

Example Modular Approach
Introduction | Example
Rendered fromexamplemodular.Rmdusingknitr::rmarkdown

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

Example Wrapped Approach
Introduction | Example
Rendered fromexamplewrapped.Rmdusingknitr::rmarkdown

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

Get Started
Main Concept of Data cut process | Data cut approaches for different SDTM | Technical approach within | Data Handling Rules | Validation | Starting a Script
Rendered fromdatacutr.Rmdusingknitr::rmarkdown

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

Modular Approach
Introduction | Programming Flow | Read in Data | Create DCUT Dataset | Preprocess Datasets | Specify Cut Types | Patient Cut | Date Cut | DM Cut | Apply Cut | Output Final List of Cut Datasets
Rendered frommodular.Rmdusingknitr::rmarkdown

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

Wrapped Approach
Introduction | Programming Flow | Read in Data | Create DCUT Dataset | Preprocess Datasets | Process data cut
Rendered fromwrapper.Rmdusingknitr::rmarkdown

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

Contribution to {datacutr}
Introduction | Basics | Contribution Model
Rendered fromcontribution_model.Rmdusingknitr::rmarkdown

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