The Ultimate Guide to the factory Package in R
Explore valuable documentation and insights to make the most of the factory package in R. Get ready to unlock the full potential of the factory package!
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What is the factory package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
factory is an R package that provides tools for creating factory objects, which are used for automated testing in software development. It includes functions for defining factory classes, creating objects, and managing object lifecycles.
- Title: Build Function Factories
- Description: Function factories are functions that make functions. They can be confusing to construct. Straightforward techniques can produce functions that are fragile or hard to understand. While more robust techniques exist to construct function factories, those techniques can be confusing. This package is designed to make it easier to construct function factories.
- Author: Jon Harmon [aut, cre]
- Maintainer: Jon Harmon
How to install the factory package?
In this section, we’ll walk you through the process of installing and loading the factory 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 factory 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 factory 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 factory 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 factory 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 factory 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 factory 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 factory package has the following suggested dependencies: testthat (>= 2.1.0), covr, roxygen2, knitr, rmarkdown, ggplot2.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The factory 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 factory package has the following imported packages: purrr (>= 0.3.2), rlang (>= 0.4.0).
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The factory package has no enhancements.
How to get help with the factory package?
In this section, we’ll discuss a variety of available resources for getting help with the factory package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("factory") 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 factory package has a dedicated website. You can visit: https://github.com/jonthegeek/factory.
- Developer support: You can email Jon Harmon . 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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