The Ultimate Guide to the excelR Package in R

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Explore valuable documentation and insights to make the most of the excelR package in R. Get ready to unlock the full potential of the excelR package!

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What is the excelR package?

In this section, we’ll delve into the fundamental aspects and key features of the package.

excelR is an R package that provides an interface to the ‘xlsx’ JavaScript library, allowing for interactive manipulation of Excel files in R. The package includes functions for reading and writing data, formatting cells, and creating formulas.

Title: A Wrapper of the 'JavaScript' Library 'jExcel'
Description: An R interface to 'jExcel' library to create web-based interactive tables and spreadsheets compatible with 'Excel' or any other spreadsheet software.
Author: Swechhya Bista [aut, cre], Kent Russell [ctb], Mārcis Bratka [ctb]
Maintainer: Swechhya Bista

How to install the excelR package?

In this section, we’ll walk you through the process of installing and loading the excelR package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.

# Install the {Package} package if it's not already installed
if (!require("{Package}")) {
    install.packages("{Package}")
}


# Load the {Package} package
library("{Package}")

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What package information should you know?

In this section, we’ll go over the technical aspects of the excelR 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 excelR 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 excelR 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 excelR 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 excelR 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 excelR 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 excelR package has the following suggested dependencies: shiny (>= 1.3.1), testthat (>= 2.0.0), covr (>= 3.2.1).
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The excelR 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 excelR package has the following imported packages: htmlwidgets (>= 1.3), jsonlite (>= 1.6).
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The excelR package has no enhancements.

How to get help with the excelR package?

In this section, we’ll discuss a variety of available resources for getting help with the excelR package.

Key resources

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("excelR") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The excelR package has a dedicated website. You can visit: https://github.com/Swechhya/excelR.
Developer support: You can email Swechhya Bista . For contact information, visit our R community directory.

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