gexijin/RTutor: Chat with your data via AI. https://RTutor.ai
Chat with your data via AI. https://RTutor.ai.
AI
Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny was designed with an emphasis on distinct input and output components in the UI. Inputs send values from the client to the server, and when the server has values for the client to display, they are received and rendered by outputs.
You want the server to trigger logic on the client that doesn’t naturally relate to any single output.
You want the server to update a specific (custom) output on the client, but not by totally invalidating the output and replacing the value, just making a targeted modification.
You have some client JavaScript that isn’t related to any particular input, yet wants to trigger some behavior in R. For example, binding keyboard shortcuts on the web page to R functions on the server, or alerting R when the size of the browser window has changed.
R - Shiny
agnostic, idiomatic data filter module for shiny
a small data filter module for shiny.
R - JSON Files
R - JSON Files - JSON file stores data as text in human-readable format. Json stands for JavaScript Object Notation. R can read JSON files using the rjson package.
RMarkdown
R Development Guide
A guide to R development.
R#r-development#r#r-package#github#r-package-devt#development#r-project#r-devguide#contributor-guideAutomatic Codebooks from Metadata Encoded in Dataset Attributes
Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on rmarkdown partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
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.
Addinssystats/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
HenrikBengtsson/future: R package: future: Unified Parallel and Distributed Processing in R for Everyone
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone - HenrikBengtsson/future
yonicd/d3Tree: htmlwidget that binds d3js collapsible trees to R and Shiny to make an interactive search tool
htmlwidget that binds d3js collapsible trees to R and Shiny to make an interactive search tool - yonicd/d3Tree
Rdatatable/data.table: R's data.table package extends data.frame:
R's data.table package extends data.frame:. Contribute to Rdatatable/data.table development by creating an account on GitHub.
dbosak01/libr: An R package to create data libraries and data dictionaries.
An R package to create data libraries and data dictionaries. - dbosak01/libr
Install and Run Programs, Outside of R, Inside of R • rOpenSci: outsider
Install and run external command-line programs in R through use of Docker and online repositories.
njtierney/brolgar: BRowse Over Longitudinal Data Graphically and Analytically in R
BRowse Over Longitudinal Data Graphically and Analytically in R - njtierney/brolgar
jaytimm/quicknews: Some R-based tools for navigating the online news landscape
Some R-based tools for navigating the online news landscape - jaytimm/quicknews
rstudio/shinytest: Automated testing for shiny apps
Automated testing for shiny apps. Contribute to rstudio/shinytest development by creating an account on GitHub.
R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler • googleCloudRunner
Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run for R over HTTP, Cloud Build for Continuous Delivery and Integration services and Cloud Scheduler for scheduled scripts.