R Shiny Github

In the server. In the first hour of the meetup (4-5pm), Justin will be giving a presentation on the Shiny package in R. Project viewable at spotify-66. To use the Shiny app locally, run CATALYST::launchGUI() inside an R session. The learnr package uses runtime: shiny_prerendered to turn regular R Markdown documents into live tutorials. A Shiny App for Playing with OLS Ordinary least squares continues to be the staple estimator for causal inference for good reason. Conventional Shiny applications can include a global. I set up an AWS instance to host the app for realtime use and there is the Github repository that is the maintained home of the app that is meant for the R community that can host shiny locally. Learn about all the necessary beginner concept related to #R shiny Data Product Development in this series of tutorials. There are some information exposed to Shiny from the table widget as you interact with the table in Shiny. shiny-ampvis2 - Provides some basic functionality for using ampvis2 to visualize microbiome data. These applets are fantastic for teaching, but are also useful for reporting your data interactively. The app can be accessed through a couple of places. if your app is ugly, it doesn’t have to be! Make it prettier with one of the 951,233,521 R graphics packages out there. pins makes it easy to save (pin) R objects including datasets, models, and plots to a central location (board), and access them easily from both R and Python. May 2, 2015. for teaching a statistical concept interactively). Many people who use R would not describe themselves as “programmers”. There are many ways to deploy Shiny apps to the web; this guide uses Shiny Server to host an example Shiny app on a Linode. Crosstalk support: crosstalk. Stack traces are a critically important tool for Shiny app authors to find sources of errors in their apps. As Shiny apps grow and become more complex, a recurring issue has been that of integrating an external database into an app. Using the R package. The Leaflet package includes powerful and convenient features for integrating with Shiny applications. Some of my R code is available on Github. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort. You have now pushed your commit to GitHub, and should be able to see your files in your GitHub account. rhandsontable attempts to map R classes to an appropriate handsontable type. R shiny app files which could be used in conjunction with my youtube video tutorials on building ShinyApps. Sorry I do not know much about shiny server, and you will have to read its documentation unless you have bought shiny server pro. There are some information exposed to Shiny from the table widget as you interact with the table in Shiny. They also work in R Markdown documents, shiny, and from the R command line. Running the App through Github (github repo: yonicd/Elections). I set up an AWS instance to host the app for realtime use and there is the Github repository that is the maintained home of the app that is meant for the R community that can host shiny locally. GitHub repository for the Shiny application - deployment-bundle: app. To learn more about Shiny, visit shiny. GitHub r-lib/later. Outside of Shiny, in regular R programming, we have the R console where we can run any command at any point in time, but in Shiny we don’t really have that. Its a very personal experience ; Sharing is not easy; Shiny. Bren PhD Quantitative Refresher & R/RStudio Intro Workshop Click here for complete R/RStudio materials (Days 4 - 7 of workshop) from GitHub, or if you're not using GitHub you can download necessary data/keys in zipped folders below. 0): a new Shiny application (and Shiny gadget) for creating interactive cluster heatmaps. Much of the R to SVG conversion is already shown in this blog from the R Mecca in New Zealand. Shiny user interfaces can be built entirely using R, or can be written directly in HTML, CSS, and JavaScript for more flexibility. Auckland, New Zealand 2018. We'll take a look at both below, but the mechanics of writing the tests are identical regardless of whether you're testing a module or an application. Below we have the simplest possible shiny app. For Windows, download and run the all-in-one installer for R, Rstudio, and Radiant. New with Shiny 1. Browse other questions tagged r github shiny rstudio or ask your own question. desc() on app panel, we need split the function into sections and rewrite each section into server. Shiny r, live shared and explored 1. Clone an existing GitHub project to new RStudio project. The first Shiny contest was not only fun to review, but we also learned a lot about how to structure it next time around. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. Sep 25, 2016. Shiny Server is useful not only for hosting Shiny applications, but also for hosting R markdown (Rmd) documents. Outside of Shiny, in regular R programming, we have the R console where we can run any command at any point in time, but in Shiny we don't really have that. Hundreds of charts are displayed in several sections, always with their reproducible code available. colourpicker - A colour picker tool for Shiny. Source code is easily visible by recipient (if desired) Easy to run (for R users) Very easy to update if you already use GitHub for your. 3 Embedded Shiny apps. Google Analytics Dashboard - Demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL. Bren PhD Quantitative Refresher & R/RStudio Intro Workshop Click here for complete R/RStudio materials (Days 4 - 7 of workshop) from GitHub, or if you're not using GitHub you can download necessary data/keys in zipped folders below. Bokeh has interfaces in Python, Scala, Julia, and now R. These examples aren't exhaustive, but should help get you started. Installs shiny apps packaged as stand-alone Electron apps using Inno Setup, an open source software that builds installers for Windows programs. I also enjoy networking with other R developers, data analysts, researchers, and useRs around the globe. As Shiny apps grow and become more complex, a recurring issue has been that of integrating an external database into an app. R file to define code which is shared between the UI and server. In its simplest form, a Shiny application requires a server function to do the calculations and a user interface. I've put together several examples to help give you ideas on how to use shinyBS. R, both two steps need to be done. surrogateMutation - a package for detecting oncogenic collaboration in somatic mutation and copy number data. Since in larger projects function calls are distributed over a lot of R files the Find in Files command in RStudio is really useful. Shiny comes with a reactive programming library that you will use to structure your application logic. Graphviz. The Bokeh library is written and maintained by the Bokeh Core Team consisting of several members of Continuum Analytics and other members of the open source community. shiny::runGitHub('shiny_example', 'rstudio') In this example, the GitHub account is 'rstudio' and the repository is 'shiny_example'; you will need to replace them with your account and repository name. The app can be accessed through a couple of places. colourpicker - A colour picker tool for Shiny. The RStudio IDE is developed by RStudio, Inc. ShinyRGL is a Shiny wrapper for the RGL package. my code only works when the first checkbox is mandatorily selected and others are checked/unchecked. It may be possible for you to get free private hosting on GitHub, e. Day 1: Algebra warm-up, derivatives review (Day 1 slides). 000Z","updated_at":"2019-09-24T12:30:19. router") The most recent version you can get from this repo using devtools. Re-introducing Radiant: A shiny interface for R. Developed an R Shiny App that documents and showcases research findings through interactive visualization dashboards. The Dockerfile includes a COPY command to copy necessary Shiny files such as ui. 03 - Tools for Shiny Apps - heike. The objective of this blog is to show how one can use few steps to launch a web app from anywhere. The documentation and videos on this site as well as the Radiant help files are licensed under the creative commons attribution, non-commercial, share-alike license CC-NC-SA. Shiny Server是一個快速可將 R 統計結果,呈現在網頁上的伺服主機程式。Shiny是 Rstudio 這家公司開發的產品, 自2012年推出後,廣受大家好評與喜愛,讓不懂網頁程式的 R語言使用者,可以輕鬆的部署互動式的統計資料在網頁上。. shiny-phyloseq - Provides a graphical user interface to the microbiome analysis package for R, called phyloseq. How to install? It's possible to install this library through CRAN. When I create a. Re-introducing Radiant: A shiny interface for R. R, both two steps need to be done. Pins make it much easier to create production-ready R assets by simplifying the storage and updating of intermediate data artifacts. Since most JavaScript code is autogenerated by the environment, basic R knowledge is sufficient for developing Shiny apps. surrogateShiny - an R/Shiny Framework for. Use the shiny app to create graph specifications interactively. RInno is designed to be simple to use (two lines of code at a minimum), yet. Analyzing gene expression and correlating phenotypic data is an important method to discover insights about disease outcomes and prognosis. This is a great alternative to secure copy ( scp ). Shiny is a very powerful framework for building web applications based on R. I post updates on Twitter occasionally. Google analytics. shiny-phyloseq - Provides a graphical user interface to the microbiome analysis package for R, called phyloseq. Shiny的web框架从本质上说是使从页面中获取输入值并传递给R变得更容易,然后把R代码的结果以输出值的形式返回给页面。 input values => R code => output values 因为Shiny程序是交互式的,输入值可以随时改变,输出值也应该立即更新,以反映输入输入值的改变。. GitHub repository for the Shiny application - deployment-bundle: app. Epiviz is an interactive visualization tool for functional genomics data. JavaScript can make the app lighter (don't make R do things it doesn't need to do). desc() on app panel, we need split the function into sections and rewrite each section into server. When I create a. shiny: Web Application Framework for R. Since Shiny web apps are interactive, the input values can change at any time, and the output values need to be updated immediately to reflect those changes. The documentation and videos on this site as well as the Radiant help files are licensed under the creative commons attribution, non-commercial, share-alike license CC-NC-SA. The app can be accessed through a couple of places. RInno makes it easy to install local shiny apps by providing an interface between R, Inno Setup, an installer for Windows programs (sorry Mac and Linux users), and Electron, a modern desktop framework used by companies like Github, Slack, Microsoft, Facebook and Docker. This package provide some custom widgets to pimp your shiny apps ! You can replace classical checkboxes with switch button, add colors to radio buttons and checkbox group, use buttons as radio or checkboxes. Conventional Shiny applications can include a global. The Pull Push buttons in RStudio will now also work. Render a reactive output variable as text within an application page. Do you have the dev version of Shiny installed? The later package is here:. Bokeh renders plots using HTML canvas and provides many mechanisms for interactivity. A highly customizable slider widget with built-in support for animation. input values => R code => output values. I need to include a package from github in my Shiny app. Webinars and videos are presented on a variety of subjects. (Oh yeah, there will be a next time!) Our plan is to pre-identify clear categories for winners and announce them at the beginning of the contest. When I develop Shiny apps or packages for Shiny, I often find myself wanting to be able to run R code on-demand while the app is running. Show more Show less. Definitely, animation package do not provide any interface for shiny app. GitHub Gist: instantly share code, notes, and snippets. You need to replace tableId with the actual id of the table in your own app. Easy web applications in R. It is out of the scope of this book to make a comprehensive introduction to Shiny (which is too big a topic). io service supports deploying packages installed from CRAN, GitHub, and BioConductor. Shiny - manmustbecool. Developed an R Shiny App that documents and showcases research findings through interactive visualization dashboards. These function similarly to Shiny’s tabPanels: when you click on one menu item, it shows a different set of content in the main body. These applets are fantastic for teaching, but are also useful for reporting your data interactively. Bren PhD Quantitative Refresher & R/RStudio Intro Workshop Click here for complete R/RStudio materials (Days 4 - 7 of workshop) from GitHub, or if you're not using GitHub you can download necessary data/keys in zipped folders below. timevis - Create interactive timeline visualizations in R (can be embedded into Shiny apps and R markdown documents, or simply viewed from the R console). Making the data part of the repository itself is a way of preserving it outside of GitHub, and also gives us the ability to feature the data on a front-facing website, such as with GitHub Pages. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the limma-voom analysis workflow. JavaScript can make the app lighter (don't make R do things it doesn't need to do). We have briefly introduced Shiny documents in Section 2. This workshop will cover how to create a basic user interface, add reactive widgets and publish a Shiny app. Talk about it with the people who will use the app, just to decipher what theyRead More → The post Building Big Shiny Apps — A Workflow 2/2 appeared first on (en) The R Task Force. Outside of Shiny, in regular R programming, we have the R console where we can run any command at any point in time, but in Shiny we don't really have that. Rmd file I include. Sep 25, 2016. Installs shiny apps packaged as stand-alone Electron apps using Inno Setup, an open source software that builds installers for Windows programs. ficonsulting. The first Shiny contest was not only fun to review, but we also learned a lot about how to structure it next time around. shinyWidgets. R, it is possible to deploy R Shiny apps from within a package, as here. In RStudio, click New project as normal. New to Shiny? Check out the Shiny Dev Center, where you can find documentation, tutorials and examples for building Shiny applications. These mainly, but not exclusively, include applications for plotting chronometric data from e. Simple counter using reactiveValues() in R Shiny - An example - DESCRIPTION. I post updates on Twitter occasionally. RStudio is an integrated development environment (IDE) for R. router") The most recent version you can get from this repo using devtools. Shiny widgets enable you to create re-usable Shiny components that are included within an R Markdown document using a single function call. RStudio Webinars. com Shiny web app gallery: http://www. 000Z","updated_at":"2019-09-24T12:30:19. Shiny Server是一個快速可將 R 統計結果,呈現在網頁上的伺服主機程式。Shiny是 Rstudio 這家公司開發的產品, 自2012年推出後,廣受大家好評與喜愛,讓不懂網頁程式的 R語言使用者,可以輕鬆的部署互動式的統計資料在網頁上。. But before entering the coding marathon, take time to think about the application and the way it will be deployed and used. Share your feedback/comments on youtube channel or GitHub or email me : [email protected] Description. A line or two of R code is all it takes to produce a D3 graphic or Leaflet map. R Markdown, Rpubs & github publishing and Shiny by Example 1. RStudio is an integrated development environment (IDE) for R, a programming language for statistical computing and graphics. 4 (or later) of devtools are supported. I am trying to combine the answers to the following two questions: Reactive subset in ddply for rmarkdown shiny Maintain data frame rows after subet In the first question I was shown how to prop. Shiny works well with many widely used R packages, such as ggplot2, and Leaflet for R. 0 Description Makes it incredibly easy to build interactive web. GitHub is a popular project hosting site for R developers since it does more than just host files. This site uses Google Analytics to track user behavior while on the site. My friend Jonathan Sidi and I (Tal Galili) are pleased to announce the release of shinyHeatmaply (0. Aagarw30--I am attempting to use your code so that I can have a user upload a file. Thus, an R Shiny app was born. Shiny is a very powerful framework for building web applications based on R. shinyGEO: a web-based application for performing differential expression and survival analysis on Gene Expression Omnibus datasets Summary. showmeshiny. We actually set one up at my. semantic components. Some of my R code is available on Github. Clone an existing GitHub project to new RStudio project. If you continue browsing the site, you agree to the use of cookies on this website. Radiant is a platform-independent browser-based interface for business analytics in R. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A “Office Hour” recordings. To learn more about Shiny, visit shiny. Get started with Shiny applcations with this set of examples. Please feel free to modify the code and enjoy learning the R Shiny Apps. This repository contains a README file (not required). It may be possible for you to get free private hosting on GitHub, e. my code only works when the first checkbox is mandatorily selected and others are checked/unchecked. Makes it incredibly easy to build interactive web applications with R. js library with a custom shiny output. This post is to announce a shiny app I've written to test regular expressions in an R environment. I post updates on Twitter occasionally. Scale Big Shiny Apps. I am trying to build a Rstudio/Shiny App and post it in our intranet so that everyone else in our office could see it. See the getCallNames function to see how this is implemented; there are also code paths for anonymous functions and delayed evaluation promises (the R kind, not the async kind). Pins make it much easier to create production-ready R assets by simplifying the storage and updating of intermediate data artifacts. An awesome R-shiny list! Contribute to grabear/awesome-rshiny development by creating an account on GitHub. Shiny Live / Shared / Explored BARUG May 2013 Alex B Brown Thursday, August 22, 13 2. Analyzing gene expression and correlating phenotypic data is an important method to discover insights about disease outcomes and prognosis. Finally, depending on the nature of the "sensitive information" you are trying to protect, there may be better options. Create a Dockerfile in build folder, including copying the Shiny app into the Docker image. R into the Docker image. Extend widgets available in shiny. GitHub Gist: instantly share code, notes, and snippets. GitHub can be used to add shiny apps to the /srv/shiny-server directory. Including in Shiny web apps. Make sure you complete the setup here prior to the class. You need to replace tableId with the actual id of the table in your own app. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the limma-voom analysis workflow. r and server. A tutorial to perform basic operations with spatial data in R, such as importing and exporting data (both vectorial and raster), plotting, analysing and making maps. R Shiny Demo - how to embed pdf into shiny app. Now try selecting different inputs and see how the input choices change when doing so. File download example for R Shiny. I am a windows guy, and the instructions online about how to setup a shiny ser. js and the htmlwidgets package for R. In its simplest form, a Shiny application requires a server function to do the calculations and a user interface. Part 7 (Optimizing) tackles the question of optimization, first by presenting some common caveats of Shiny Apps, and then showing how to optimize R code, and use JavaScript to lighten R work. This post is to announce a shiny app I've written to test regular expressions in an R environment. R) We create a reactive Shiny plot that is output from server. How to load desktop CSV file into R/Sshiny app. Some familiarity with R will be helpful. See the shinyapps. Do you have the dev version of Shiny installed? The later package is here:. Explore: Quickly and easily summarize, visualize, and analyze your data; Cross-platform: It runs in a browser on Windows, Mac, and Linux. Shiny Server is useful not only for hosting Shiny applications, but also for hosting R markdown (Rmd) documents. Analyzing gene expression and correlating phenotypic data is an important method to discover insights about disease outcomes and prognosis. Radiant - Business analytics using R and Shiny Radiant is an open-source platform-independent browser-based interface for business analytics in R. Knit to HTML Vincent Claes Save document first! 5. Shiny helps. There are many ways to deploy Shiny apps to the web; this guide uses Shiny Server to host an example Shiny app on a Linode. This site uses Google Analytics to track user behavior while on the site. I also enjoy networking with other R developers, data analysts, researchers, and useRs around the globe. We are excited to announce polished. as well as be able to share them with new vets and our primary vet back in Colorado. R files, however, you may wish to take a different approach depending on your requirements. Create mermaid graphs. R into the Docker image. This will include reading the data into R, quality control and performing differential expression analysis and gene set testing, with a focus on the limma-voom analysis workflow. Description Usage Arguments Details Value Server value Note See Also Examples. Currently the shinyapps. I won't go into detail on how to create a shiny app here as there are already many tutorials that clearly explain how to design a shiny app. shinydashboard makes it easy to use Shiny to create dashboards like these:. RInno is designed to be simple to use (two lines of code at a minimum), yet. Method 3 is fairly trivial with the full-featured Shiny and Rook once we have 1 and 2 conquered. Shiny = R + interactivity + web + easy. compatible with shiny, R Markdown documents, and RStudio viewer; The package proposes all the features available in vis. Instructions on how to install Plotly's R package can be found on the Plotly for R: Getting Started page. Inspired by this great blog, by Elio Campitelli: eliocamp. For this example we’ll add menu items that behave like tabs. Oh yeah, and he embedded the app. Shiny is an R Package to deploy web apps using an R backend. Turns R analyses into interactive web applications; No HTML or JavaScript knowledge is necessary. Thus, an R Shiny app was born. New to Shiny? Check out the Shiny Dev Center, where you can find documentation, tutorials and examples for building Shiny applications. Shiny的web框架从本质上说是使从页面中获取输入值并传递给R变得更容易,然后把R代码的结果以输出值的形式返回给页面。 input values => R code => output values 因为Shiny程序是交互式的,输入值可以随时改变,输出值也应该立即更新,以反映输入输入值的改变。. A collection of shiny applications for the R package Luminescence. system closed November 23, 2018, 4:33pm. Shiny的web框架从本质上说是使从页面中获取输入值并传递给R变得更容易,然后把R代码的结果以输出值的形式返回给页面。 input values => R code => output values 因为Shiny程序是交互式的,输入值可以随时改变,输出值也应该立即更新,以反映输入输入值的改变。. Contribute to rstudio/shiny-examples development by creating an account on GitHub. GitHub Gist: instantly share code, notes, and snippets. As Simon Potter has extended SVGAnnotation while improving gridSVG, he has documented the. Google Analytics Dashboard - Demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL. Best viewed in full screen. csv and the app will then look inside that. luminescence or radiocarbon dating. Its a very personal experience ; Sharing is not easy; Shiny. By using this library, changing input values. These mainly, but not exclusively, include applications for plotting chronometric data from e. my code only works when the first checkbox is mandatorily selected and others are checked/unchecked. It may be possible for you to get free private hosting on GitHub, e. Referring to an external application directory using the shinyAppDir. Browse other questions tagged r github shiny rstudio or ask your own question. Some familiarity with R will be helpful. If installing all the necessary R packages is a hurdle, you can use the hosted version. However note that the video tutorial contains more advanced content than what the written tutorial covers. I've put together several examples to help give you ideas on how to use shinyBS. Basic Template library(shiny) library(shinymaterial) # Wrap shinymaterial apps in material_page ui - material_page( title = "Basic Page", tags$h1("Page Content. Please feel free to modify the code and enjoy learning the R Shiny Apps. Radiant - Business analytics using R and Shiny Radiant is a platform-independent browser-based interface for business analytics in R , based on the Shiny package. These examples render like normal R plots in RStudio. Shiny helps. Shiny的web框架从本质上说是使从页面中获取输入值并传递给R变得更容易,然后把R代码的结果以输出值的形式返回给页面。 input values => R code => output values 因为Shiny程序是交互式的,输入值可以随时改变,输出值也应该立即更新,以反映输入输入值的改变。. Let users interact with your data and your analysis. An immersive data science bootcamp, focused on developing strong analytical skills alongside data-driven business thinking. And do it all with R. Shiny Server is a companion program to Shiny that builds a web server designed to host Shiny apps. i have done something similar to this, but when i unselect the first checkbox, i get errors. I want to show choices for selectInput using calculation from other input functions. Shiny Server on AWS 08 Jul 2016 The Shiny web framework for R is great, and one of my most frequently used packages. We have briefly introduced Shiny documents in Section 2. class: center, middle, inverse, title-slide # Creating Interactive GIS (Web) Applications with Shiny and Leaflet ###. Aagarw30--I am attempting to use your code so that I can have a user upload a file. It may be possible for you to get free private hosting on GitHub, e. Webinars and videos are presented on a variety of subjects. Next, we can add content to the sidebar. GitHub provides many features to support collaboration, such as issue trackers, wikis, and close integration with the git version control system. Most of the time, building a big Shiny App means that it will be scaled to numerous users, that it will be used for a (relatively) long time, and that you might implement new things on it in the future. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A "Office Hour" recordings. Don’t rush into coding. To learn more about Shiny, visit shiny. A Helpful Way to Install R Packages Hosted on GitHub Koji MAKIYAMA (@hoxo_m)2018-02-19 Abstract. Introducing Radiant: A shiny interface for R. I've used it to develop exploratory data analysis and visualization tools for my coworkers. You can accomplish the same thing within runtime: shiny_prerendered documents by adding the context="setup" attribute to an R code chunk. compatible with shiny, R Markdown documents, and RStudio viewer; The package proposes all the features available in vis. Render a reactive output variable as text within an application page. Polished comes with many of the authentication features required by today’s web apps (e. router") The most recent version you can get from this repo using devtools. Shiny Server is a companion program to Shiny that builds a web server designed to host Shiny apps. showmeshiny. Packages are the fundamental units of reproducible R code. If you do not know what this means, you probably do not want to do it! The latest release (2018-07-02, Feather Spray) R-3. This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. Source code is easily visible by recipient (if desired) Easy to run (for R users) Very easy to update if you already use GitHub for your. R Shiny Demo - how to embed pdf into shiny app. Available on CRAN and on GitHub. io/codigo-r and his settings on the hugo-tranquilpeak theme, by Louis Barranqueiro & Thibaud Leprêtre. RStudio is an integrated development environment (IDE) for R, a programming language for statistical computing and graphics. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A "Office Hour" recordings. i have done something similar to this, but when i unselect the first checkbox, i get errors. JavaScript can make the app lighter (don't make R do things it doesn't need to do). GitHub r-lib/later. You will see a dialog box that allows you create an R Markdown document with preset options for the following main output types: standard document types; several presentation types; two types of Shiny apps. Works in any R environment (Console R, Rgui for Windows or Mac, ESS, StatET, RStudio, etc. Shiny Components. We create an empty server, a UI with a basic message and then launch the app with the shinyApp function. In this book, you'll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. An updated tutorial to set up a blogdown blog. Shiny allows R users to create interactive web application right from R without any knowledge of HTML/JavaScript/CSS. By using this library, changing input values. The written Shiny tutorial. Shiny is an open source R package that provides an elegant and powerful web framework for building web applications using R. There are two ways to do this: Defining the application inline using the shinyApp() function; or. These function similarly to Shiny’s tabPanels: when you click on one menu item, it shows a different set of content in the main body. One of the things I most like from R + Shiny is that it enables me to serve the power and flexibility of R in small "chunks" to cover different needs, allowing people not used to R to benefit from it. Dean’s post recommends creating a new git repo on the server, then pushing all your shiny apps to that repo on GitHub from your computer and pulling the repo to the server. In rstudio/shiny: Web Application Framework for R.