Resources
This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.
usethis
usethis is a workflow package that automates repetitive tasks that arise during project setup and development, both for R packages and non-package projects.
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vroom
vroom is a package in R that provides the fastest delimited reader. It uses lazy loading and multiple threads for improved performance. It supports various parsing features, such as delimiter guessing, custom delimiters, column types specification, and more.
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xaringan
Presentation Ninja with xaringan - a tutorial and package for creating presentations in R using the xaringan package
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xaringanBuilder
renderthis is an R package for generating HTML slideshows using the xaringan package.
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xaringanExtra
xaringanExtra is a package in R that provides additional functionality and features for creating presentations using the xaringan package.
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xaringanthemer
Custom xaringan CSS Themes for styling xaringan slides in RMarkdown with xaringanthemer
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xlcharts
xlcharts is an R package that serves as an interface to the OpenPyXL Python library, enabling the creation of native Excel charts within R. Aimed at overcoming the limitations of existing R packages in terms of Excel chart creation and customization, xlcharts allows users to generate Excel charts and perform advanced Excel file manipulations. Users can install xlcharts and its dependencies (Miniconda and OpenPyXL), access and edit workbook cells, and create various types of charts such as bar, bubble, and pie. It supports styles, conditional formatting, worksheet operations, pivot tables, comments, formulae, and workbook protection.
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yonder
yonder is a reactive web framework built on shiny. It features new reactive inputs and Bootstrap components on the UI side, and tools for alerts, modals, and more on the server side.
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zipcodeR
zipcodeR is an R package that makes working with ZIP codes in R easier. It provides data on all U.S. ZIP codes using multiple open data sources, making it easier for social science researchers and data scientists to work with ZIP code-level data in data science projects using R.
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