The Ultimate Guide to the ctrialsgov Package in R
Explore valuable documentation and insights to make the most of the ctrialsgov package in R. Get ready to unlock the full potential of the ctrialsgov package!
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What is the ctrialsgov package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
Ctrialsgov is a package that provides an interface to the ClinicalTrials.gov API, allowing users to download and analyze data from clinical trials registered in the US.
- Title: Query Data from U.S. National Library of Medicine's Clinical Trials Database
- Description: Tools to create and query database from the U.S. National Library of Medicine's Clinical Trials database . Functions provide access a variety of techniques for searching the data using range queries, categorical filtering, and by searching for full-text keywords. Minimal graphical tools are also provided for interactively exploring the constructed data.
- Author: Taylor Arnold [aut, cre] (), Auston Wei [aut], Michael J. Kane [aut] ()
- Maintainer: Taylor Arnold
How to install the ctrialsgov package?
In this section, we’ll walk you through the process of installing and loading the ctrialsgov 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 ctrialsgov 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 ctrialsgov 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 ctrialsgov 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 ctrialsgov package, visit our database of R package citations.
Technical details
- License type: MIT + file LICENSE. 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 ctrialsgov 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 ctrialsgov 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 ctrialsgov package has the following suggested dependencies: covr, knitr, rmarkdown, testthat (>= 3.0.0), usethis.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The ctrialsgov 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 ctrialsgov package has the following imported packages: dplyr, utils, ggplot2, lubridate, plotly, purrr, rlang, stringi, tibble, DBI, methods, Matrix, htmlwidgets.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The ctrialsgov package has no enhancements.
How to get help with the ctrialsgov package?
In this section, we’ll discuss a variety of available resources for getting help with the ctrialsgov package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("ctrialsgov") 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 ctrialsgov package does not have a dedicated website.
- Developer support: You can email Taylor Arnold . For contact information, visit our R community directory.
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Other package guides
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