The Ultimate Guide to the emstreeR Package in R
Explore valuable documentation and insights to make the most of the emstreeR package in R. Get ready to unlock the full potential of the emstreeR package!
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What is the emstreeR package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
emstreeR is an R package designed for calculating Euclidean Minimum Spanning Trees (EMSTs). EMSTs are a type of graph that connects all points in a dataset such that the total length of the edges is minimized. This package can be used in various fields including computer science and bioinformatics where minimum spanning trees are often required.
- Title: Tools for Fast Computing and Visualizing Euclidean Minimum Spanning Trees
- Description: Fast and easily computes an Euclidean Minimum Spanning Tree (EMST) from data, relying on the R API for 'mlpack' - the C++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR' uses the Dual-Tree Boruvka (March, Ram, Gray, 2010, ), which is theoretically and empirically the fastest algorithm for computing an EMST. This package also provides functions and an S3 method for readily visualizing Minimum Spanning Trees (MST) using either the style of the 'base', 'scatterplot3d', or 'ggplot2' libraries; and functions to export the MST output to shapefiles.
- Author: Allan Quadros [aut, cre], Duncan Garmonsway [ctb]
- Maintainer: Allan Quadros
How to install the emstreeR package?
In this section, we’ll walk you through the process of installing and loading the emstreeR 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 emstreeR 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 emstreeR 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 emstreeR 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 emstreeR package, visit our database of R package citations.
Technical details
- License type: BSD_3_clause + 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 emstreeR 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 emstreeR 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 emstreeR package has no suggested dependencies.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The emstreeR 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 emstreeR package has the following imported packages: mlpack, scatterplot3d, ggplot2, graphics, stats, sf.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The emstreeR package has no enhancements.
How to get help with the emstreeR package?
In this section, we’ll discuss a variety of available resources for getting help with the emstreeR package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("emstreeR") 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 emstreeR package does not have a dedicated website.
- Developer support: You can email Allan Quadros . 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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