a small data filter module for shiny.

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.

A guide to R development.

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.

Collection of notifications, confirm dialogs and alerts for 'Shiny' applications - dreamRs/shinypop

Editable DataTables for shiny apps. Contribute to jbryer/DTedit development by creating an account on GitHub.

Data table backend for dplyr. Contribute to tidyverse/dtplyr development by creating an account on GitHub.

User login and admin panel for shiny apps (Semantic UI) - systats/shinyuser

Demonstration of user management and authentication system in R Shiny - yanirmor/shiny-user-management

:calendar: R htmlwidget for tui-calendar. Contribute to dreamRs/tuicalendr development by creating an account on GitHub.

Take screenshots in Shiny apps. Contribute to dreamRs/capture development by creating an account on GitHub.

Shiny modules to import data into an application or addin - dreamRs/datamods

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.

Contribute to jsugarelli/shinyfilter development by creating an account on GitHub.

all-contributions as an R package. Contribute to ropenscilabs/allcontributors development by creating an account on GitHub.

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.

A Toolbox for Non-Tabular Data Manipulation. Contribute to renkun-ken/rlist development by creating an account on GitHub.

:rocket: R package: doFuture - A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package - HenrikBengtsson/doFuture

R package: parallelly - Enhancing the 'parallel' Package - HenrikBengtsson/parallelly

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone - HenrikBengtsson/future

htmlwidget that binds d3js collapsible trees to R and Shiny to make an interactive search tool - yonicd/d3Tree

R's data.table package extends data.frame:. Contribute to Rdatatable/data.table development by creating an account on GitHub.

An R package to create data libraries and data dictionaries. - dbosak01/libr

Install and run external command-line programs in R through use of Docker and online repositories.

BRowse Over Longitudinal Data Graphically and Analytically in R - njtierney/brolgar

Some R-based tools for navigating the online news landscape - jaytimm/quicknews

Automated testing for shiny apps. Contribute to rstudio/shinytest development by creating an account on GitHub.

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.

A database interface (DBI) definition for communication between R and RDBMSs - r-dbi/DBI