rspatialdata
r-lib/producethis: What the Package Does (One Line, Title Case)
Note the use of the /exec folder for different deployable workflows
JohnCoene/mjml: 📨 Create responsive emails with R
📨 Create responsive emails with R. Contribute to JohnCoene/mjml development by creating an account on GitHub.
JohnCoene/awn: Awesome notifications for shiny
Awesome notifications for shiny. Contribute to JohnCoene/awn development by creating an account on GitHub.
Format SQL Queries
A convenient interface for formatting SQL queries directly within R. It acts as a wrapper around the sql_format Rust crate. The package allows you to format SQL code with customizable options, including indentation, case formatting, and more, ensuring your SQL queries are clean, readable, and consistent.
Documenting functions
The basics of roxygen2 tags and how to use them for documenting functions.
Examples
@examples provides executable R code showing how to use the function in practice. This is a very important part of the documentation because many people look at the examples before reading anything. Example code must work without errors as it is run automatically as part of R CMD check.
For the purpose of illustration, it’s often useful to include code that causes an error. You can do this by wrapping the code in try() or using \dontrun{} to exclude from the executed example code.
For finer control, you can use @examplesIf:
#' @examplesIf interactive()
#' browseURL("https://roxygen2.r-lib.org")
Instead of including examples directly in the documentation, you can put them in separate files and use @example path/relative/to/package/root to insert them into the documentation.
All functions must have examples for initial CRAN submission.
dm cheat sheet
Chat with Large Language Models
Chat with large language models from a range of providers including Claude, OpenAI, Azure, Bedrock, and Google Gemini. Supports streaming,a asyncronous calls, tool calling, and structured data extraction.
UNCHARTED DATA: Interactive Tooltip Tables
How to include tables in your {ggiraph} tooltips.
reactable: Column group definitions — colGroup
Use colGroup() to create column groups in a table.
Working With Data In Shiny Apps - FasterCapital
In this page you can find various blogs and articles that are related to this topic: Working With Data In Shiny Apps
Overview – Next Generation Shiny Apps with {bslib}
Welcome and Getting Started – Next Generation Shiny Apps with {bslib}
Welcome to the workshop and hello, bslib!
Prompt and empower your LLM, the tidy way
The tidyprompt package allows users to prompt and empower their large language models (LLMs) in a tidy way. It provides a framework to construct LLM prompts using tidyverse-inspired piping syntax, with a library of pre-built prompt wrappers and the option to build custom ones. Additionally, it supports structured LLM output extraction and validation, with automatic feedback and retries if necessary. Moreover, it enables specific LLM reasoning modes, autonomous R function calling for LLMs, and compatibility with any LLM provider.
Opinionated Backend and Reusability Focused Considerations for Shiny
Purposefully simple helper functions, tools, and a framework for creating reusable applications fit for production in clinical systems.
dreamRs/shinypop: Collection of notifications, confirm dialogs and alerts for 'Shiny' applications
Collection of notifications, confirm dialogs and alerts for 'Shiny' applications - dreamRs/shinypop
jbryer/DTedit: Editable DataTables for shiny apps
Editable DataTables for shiny apps. Contribute to jbryer/DTedit development by creating an account on GitHub.
tidyverse/dtplyr: Data table backend for dplyr
Data table backend for dplyr. Contribute to tidyverse/dtplyr development by creating an account on GitHub.
systats/shinyuser: User login and admin panel for shiny apps (Semantic UI)
User login and admin panel for shiny apps (Semantic UI) - systats/shinyuser
yanirmor/shiny-user-management: Demonstration of user management and authentication system in R Shiny
Demonstration of user management and authentication system in R Shiny - yanirmor/shiny-user-management
dreamRs/tuicalendr: R htmlwidget for tui-calendar
:calendar: R htmlwidget for tui-calendar. Contribute to dreamRs/tuicalendr development by creating an account on GitHub.
dreamRs/capture: Take screenshots in Shiny apps
Take screenshots in Shiny apps. Contribute to dreamRs/capture development by creating an account on GitHub.
dreamRs/datamods
Shiny modules to import data into an application or addin - dreamRs/datamods
Explore Your Data Interactively • ExPanDaR
Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.
jsugarelli/shinyfilter
Contribute to jsugarelli/shinyfilter development by creating an account on GitHub.
ropenscilabs/allcontributors: all-contributions as an R package
all-contributions as an R package. Contribute to ropenscilabs/allcontributors development by creating an account on GitHub.
CRAN - Package shinydlplot
Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.
renkun-ken/rlist: A Toolbox for Non-Tabular Data Manipulation
A Toolbox for Non-Tabular Data Manipulation. Contribute to renkun-ken/rlist development by creating an account on GitHub.
HenrikBengtsson/doFuture: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package
:rocket: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package - HenrikBengtsson/doFuture
HenrikBengtsson/parallelly: R package: parallelly - Enhancing the 'parallel' Package
R package: parallelly - Enhancing the 'parallel' Package - HenrikBengtsson/parallelly