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The Ultimate Guide to the volcanoPlot Package in R
Explore valuable documentation and insights to make the most of the volcanoPlot package in R. Get ready to unlock the full potential of the volcanoPlot package!
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What is the volcanoPlot package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
The volcanoPlot package provides tools for creating volcano plots in R, visual plots that illustrate significant changes in large datasets. Typically, its used in the analysis of gene expression data in biological studies.
- Title: Volcano Plot for Clinical Trial Adverse Events
- Description: Interactive adverse event (AE) volcano plot for monitoring clinical trial safety. This tool allows users to view the overall distribution of AEs in a clinical trial using standard (e.g. MedDRA preferred term) or custom (e.g. Gender) categories using a volcano plot similar to proposal by Zink et al. (2013) . This tool provides a stand-along shiny application and flexible shiny modules allowing this tool to be used as a part of more robust safety monitoring framework like the Shiny app from the 'safetyGraphics' R package.
- Author: Jeremy Wildfire [cre, aut], Becca Krouse [aut], Natalia Andriychuk [aut], Anh Tran [aut], Isaac Zhao [aut]
- Maintainer: Jeremy Wildfire
How to install the volcanoPlot package?
In this section, we’ll walk you through the process of installing and loading the volcanoPlot package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.
What package information should you know?
In this section, we’ll go over the technical aspects of the volcanoPlot 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 volcanoPlot 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 volcanoPlot 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 volcanoPlot 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 volcanoPlot 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 volcanoPlot package has no required dependencies.
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The volcanoPlot package has the following suggested dependencies: safetyGraphics, safetyData.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The volcanoPlot 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 volcanoPlot package has the following imported packages: fmsb, dplyr, DT, ggplot2, tidyr, shiny, purrr.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The volcanoPlot package has no enhancements.
How to get help with the volcanoPlot package?
In this section, we’ll discuss a variety of available resources for getting help with the volcanoPlot package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("volcanoPlot") 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 volcanoPlot package does not have a dedicated website.
- Developer support: You can email Jeremy Wildfire . For contact information, visit our R community directory.
Additional resources
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- Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.
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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