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.

datacutr

SDTM Datacut in R

Purpose

To provide an open source tool that enables the pharmaceutical programming community to apply a data cut to SDTM data in R.

Installation

The package is available from CRAN and can be installed by running the following,

install.packages("datacutr")

To install the latest development version of the package directly from GitHub use the following code::

if (!requireNamespace("remotes", quietly = TRUE)) {
  install.packages("remotes")
}

remotes::install_github("pharmaverse/datacutr", ref = "devel")

Scope

This package works with tabulation data following an SDTM standard. For ease of processing, the assumption is that supplemental qualifiers have been combined with their parent domain prior to the application of the cut process (sometimes labeled as SDTMv). The user has the flexibility to select the type of cut applied to each SDTM domain (either no cut, patient cut, date cut, or a special DM cut).

References and Documentation

• Please go to Get Started section to start using {datacutr}
• Please go to Function Reference section for a break down of all functions created by {datacutr}
• Please see the Contribution Model for how to get involved with making contributions

Contact

The following support and communications between user and developer community is recommended:

• Slack - for informal discussions, Q&A and building our user community. If you don't have access, use this link to join the pharmaverse Slack workspace
• GitHub Issues - for direct feedback, enhancement requests or raising bugs