The Ultimate Guide to the shinypivottabler Package in R

R Package Guides

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

Learn R for Free with DataCamp

Master in-demand skills with DataCamp's interactive courses

Start Learning Now

As our partner, DataCamp may pay us a commission at no cost to you for purchases made through this link.

AI-powered R programming assistant

Have questions about the shinypivottabler package? Get quick and helpful answers from our cutting-edge AI-powered assistant.

Advance Your Career with Udacity

Take your data and AI skills to the next level with industry-recognized Nanodegree programs

Explore Courses

As our partner, Udacity may pay us a commission at no cost to you for purchases made through this link.

What is the shinypivottabler package?

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

The shinypivottabler package allows developers to create pivot tables within shiny applications. It offers a highly customizable and interactive interface that enables users to summarize and analyze data effectively.

How to install the shinypivottabler package?

In this section, we’ll walk you through the process of installing and loading the shinypivottabler 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}")

Upskill Your Data Science Team with O'Reilly

Access expert-led courses and resources for R programming and beyond

Explore O'Reilly's Library

As our partner, O'Reilly may pay us a commission at no cost to you for purchases made through this link.

What package information should you know?

In this section, we’ll go over the technical aspects of the shinypivottabler 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 shinypivottabler 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 shinypivottabler 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 shinypivottabler package, visit our database of R package citations.

Technical details

License type: GPL-3. 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 shinypivottabler 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 shinypivottabler package has the following required dependencies: R (>= 3.4).
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The shinypivottabler package has no suggested dependencies.
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The shinypivottabler 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 shinypivottabler package has the following imported packages: pivottabler (>= 1.5.0), shiny, openxlsx, colourpicker, htmltools.
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The shinypivottabler package has no enhancements.

How to get help with the shinypivottabler package?

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

Key resources

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("shinypivottabler") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The shinypivottabler package does not have a dedicated website.
Developer support: You can email Benoit Thieurmel . For contact information, visit our R community directory.

Additional resources

AI tools: Use AI programming tools like DataLab to promptly address your questions. (Please note that we may earn a commission if you purchase through this link. By trying DataLab, you help sustain our platform. Thank you for your support!)
Online courses: Try our handpicked collection of R programming courses designed to boost your proficiency in R programming.
Books: Explore our curated selection of R programming books tailored to help you master R programming.
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.

Share the Post: