The Ultimate Guide to the ymd Package in R
Explore valuable documentation and insights to make the most of the ymd package in R. Get ready to unlock the full potential of the ymd package!
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What is the ymd package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
The ymd package is a utility for date manipulation, offering functions to convert dates into year-month-day format. It simplifies date-time handling in R, ensuring consistency and accuracy in date-related operations.
- Title: Parse 'YMD' Format Number or String to Date
- Description: Convert 'YMD' format number or string to Date efficiently, using Rust's standard library. It also provides helper functions to handle Date, e.g., quick finding the beginning or end of the given period, adding months to Date, etc.
- Author: Xianying Tan [aut, cre] (), Hiroaki Yutani [ctb] (, configure, configure.win, tools/configure.R), The authors of the dependency Rust crates [ctb] (see inst/AUTHORS file for details)
- Maintainer: Xianying Tan
How to install the ymd package?
In this section, we’ll walk you through the process of installing and loading the ymd 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 ymd 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 ymd 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 ymd 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 ymd 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 ymd package has compilation requirements.
- Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The ymd 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 ymd package has the following suggested dependencies: testthat (>= 3.0.0).
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The ymd 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 ymd package has no imported packages.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The ymd package has no enhancements.
How to get help with the ymd package?
In this section, we’ll discuss a variety of available resources for getting help with the ymd package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("ymd") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
-
Package website: The ymd package has a dedicated website. You can visit: https://shrektan.github.io/ymd/, https://github.com/shrektan/ymd.
- Developer support: You can email Xianying Tan . For contact information, visit our R community directory.
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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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