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The Ultimate Guide to the eudract Package in R
Explore valuable documentation and insights to make the most of the eudract package in R. Get ready to unlock the full potential of the eudract package!
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What is the eudract package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
eudract is an R package that provides an interface to the European Union Drug Regulating Authorities Clinical Trials Database (EudraCT). It includes functions for searching for clinical trials, retrieving trial information, and downloading trial data.
- Title: Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov
- Description: The remit of the European Clinical Trials Data Base (EudraCT ), or ClinicalTrials.gov , is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by EudraCT and formats them into the precise requirements to directly upload an XML file into the web portal, with no further data entry by hand.
- Author: Simon Bond [cre], Beatrice Pantaleo [aut]
- Maintainer: Simon Bond
How to install the eudract package?
In this section, we’ll walk you through the process of installing and loading the eudract package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.
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What package information should you know?
In this section, we’ll go over the technical aspects of the eudract package.
Key features
- Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify built-in datasets. To identify the datasets for the eudract package, visit our database of R datasets.
- Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes for the eudract package, you can visit our visit our database of R vignettes.
- Citation: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find citation information for the eudract package, visit our database of R package citations.
Technical details
- License type: GPL-2. For license details, visit the Open Source Initiative website.
- Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The eudract package does not have compilation requirements.
- Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The eudract package has the following required dependencies: R (>= 3.5.0).
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The eudract package has the following suggested dependencies: testthat, knitr, rmarkdown, stringr, covr.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The eudract package does not use any external sources.
- Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The eudract package has the following imported packages: tidyr, xslt, dplyr, xml2, utils, magrittr, httr, ggplot2, scales, gridExtra, grid.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The eudract package has no enhancements.
How to get help with the eudract package?
In this section, we’ll discuss a variety of available resources for getting help with the eudract package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("eudract") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
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Package website: The eudract package has a dedicated website. You can visit: https://eudract-tool.medschl.cam.ac.uk/.
- Developer support: You can email Simon Bond . For contact information, visit our R community directory.
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Other package guides
Explore our comprehensive guides for other R packages. These guides are valuable resources for accessing a wide range of information, making it easier to navigate R documentation in one place.
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