Flexdashboard shiny

Flexdashboard shiny

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Q&A R Script to R Shiny Flexdashboard, ggplot, reproducibility, functional programming, rmarkdown

Use R Markdown to publish a group of related data visualizations as a dashboard. Support for a wide variety of components including htmlwidgets ; base, lattice, and grid graphics; tabular data; gauges and value boxes; and text annotations. Flexible and easy to specify row and column-based layouts. Components are intelligently re-sized to fill the browser and adapted for display on mobile devices. Storyboard layouts for presenting sequences of visualizations and related commentary. Optionally use Shiny to drive visualizations dynamically.

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flexdashboard shiny

JavaScript Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again.

Latest commit. Latest commit cdac Jan 8, You signed in with another tab or window. Reload to refresh your session.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I borrowed this code below from the shinygallery and made some changes.

Basically this uses fluidPage. I am interested in redoing the same thing using flexdashboard. I have gone through the flexdashboard userguide. So if I can see the flexdashboard version of this example without the markdown or sweave then i can easily relate to different components and build on that. Any tips or pointers are appreciated folks.

Not perfect. But it generally gets the job done and I have to leave work, maybe I'll fine tune later tonight. Note that I also had never come across flexdashboard before this post. I had used shinydashboard quite a bit, as well as RMarkdown, so this is definitely interesting.

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Not sure what flexdashboard will really add for me personally over and above shinydashboardbut I'm definitely going to play with it some more. The one big issue being that while I'm calling row, I'm getting to the two plots on a single row instead of two different rows.

I will play further.

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Learn more. Asked 3 years, 10 months ago. Active 3 years, 10 months ago. Viewed 1k times. Active Oldest Votes. I quickly put this together.

But it generally gets the job done and I have to leave work, maybe I'll fine tune later tonight Note that I also had never come across flexdashboard before this post. Andrew Taylor Andrew Taylor 2, 18 18 silver badges 40 40 bronze badges. I will dig into this. You may need a library DT in setup section. But this does seem to be a problem issue in flexdashboard which I see missy has raised.

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Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

I borrowed this code below from the shinygallery and made some changes. Basically this uses fluidPage. I am interested in redoing the same thing using flexdashboard. I have gone through the flexdashboard userguide. So if I can see the flexdashboard version of this example without the markdown or sweave then i can easily relate to different components and build on that.

Any tips or pointers are appreciated folks. Not perfect. But it generally gets the job done and I have to leave work, maybe I'll fine tune later tonight. Note that I also had never come across flexdashboard before this post.

I had used shinydashboard quite a bit, as well as RMarkdown, so this is definitely interesting. Not sure what flexdashboard will really add for me personally over and above shinydashboardbut I'm definitely going to play with it some more.

The one big issue being that while I'm calling row, I'm getting to the two plots on a single row instead of two different rows. I will play further. Learn more. Asked 3 years, 10 months ago. Active 3 years, 10 months ago. Viewed 1k times. Active Oldest Votes. I quickly put this together.

But it generally gets the job done and I have to leave work, maybe I'll fine tune later tonight Note that I also had never come across flexdashboard before this post. Andrew Taylor Andrew Taylor 2, 18 18 silver badges 40 40 bronze badges.

I will dig into this.You have two package options for building Shiny dashboards: flexdashboard and shinydashboard. See documentation and demos on the flexdashboard homepage.

Using shiny with flexdashboard

See documentation and demos on the shinydashboard homepage. Here, in addition to instructions for getting started, you can also browse example dashboards built with shinydashboardalong with their source code.

Dynamic dashboards with Shiny. Building dashboards with Shiny tutorial. Dashboards made easy. If you have questions about this article or would like to discuss ideas presented here, please post on RStudio Community.

Our developers monitor these forums and answer questions periodically. See help for more help with all things Shiny.

flexdashboard shiny

Shiny from. The basic parts of a Shiny app. How to get help.

flexdashboard shiny

App formats and launching apps. Introduction to R Markdown. Introduction to interactive documents. Setting Output args via Render functions. Generating downloadable reports. Shiny Gadgets. Reactivity - An overview. How to understand reactivity in R. Database basics - dplyr and DBI. Using the pool package basics. Using the pool package advanced.

Using dplyr and pool to query a database. Persistent data storage in Shiny apps. Application layout guide. Build a dynamic UI that reacts to user input. Displaying and customizing static tables. How to use DataTables in a Shiny App. Help users download data from your app. Help users upload files to your app.Dashboards allow to communicate large amounts of information visually and quickly, and are essential tools to support data-driven decision making.

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In Chapter 12 we introduced the R package flexdashboard Iannone, Allaire, and Borges which can be used to create dashboards that contain several related data visualizations. We also showed an example on how to build a dashboard to visualize global air pollution by means of a map, a table and a histogram.

In some situations, we may want to build dashboards that enable users to change options and see the updated results immediately. For example, we may want to build a dashboard showing results in a map and a table, and include a slider that the user can modify to filter the map areas and the table rows that contain the values in the range of values specified in the slider. We can add this functionality in a dashboard by combining flexdashboard with Shiny.

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Briefly, this is done by adding runtime: shiny to the YAML header of the R Markdown document, and then adding inputs that the user can modify e. Note that standard flexdashboards are stand-alone documents that can be easily shared with others.

However, by adding Shiny to flexdashboard we create interactive documents that need to be deployed to a server to be shared broadly. Further details about how to use Shiny with flexdashboard can be seen in the flexdashboard website. We can also create dashboards with Shiny by using the shinydashboard package Chang and Borges Ribeiro This package provides a number of color themes that make it easy to create dashboards with an attractive appearance. Information about shinydashboard can be seen on the shinydashboard website.

Here we create an interactive dashboard with flexdashboard and Shiny by modifying the dashboard we created in Chapter 12 showing global air pollution.

A snapshot of the interactive dashboard created is shown in Figure Then, we add a column on the left-hand side of the dashboard where we add the slider to filter the countries that are shown in the visualizations. In this column we add the. Here we modify the width of this column and the other two columns of the dashboard as follows.

Then, we add the slider using the sliderInput function with inputId equal to "rangevalues" and label text that appears next to the slider equal to "PM2. First we calculate a vector rowsinrangeslider with the indices of the rows of the map that are in the range of values specified in the slider. Then we use a reactive expression to create the object mapFiltered that is equal to the subset of rows of map corresponding to rowsinrangeslider. Finally, to avoid the error that appears when the leaflet map is rendered with mapFiltered that does not contain any country, we check the number of rows before rendering the map.

Chang, Winston, and Barbara Borges Ribeiro. Lip cancer in Scotland 6. Lung cancer in Ohio 8 Geostatistical data 8. Malaria in The Gambia 9. YAML header and layout Chapter 14 Interactive dashboards with flexdashboard and Shiny Dashboards allow to communicate large amounts of information visually and quickly, and are essential tools to support data-driven decision making.By adding Shiny to a flexdashboard, you can create dashboards that enable viewers to change underlying parameters and see the results immediately, or that update themselves incrementally as their underlying data changes see reactiveFileReader and reactivePoll.

Note that the shinydashboard package provides another way to create dashboards with Shiny. Add runtime: shiny to the options declared at the top of the document YAML front matter. When including plots, be sure to wrap them in a call to renderPlot. This is important not only for dynamically responding to changes but also to ensure that they are automatically re-sized when their container changes. One important thing to note about this example is the chunk labeled global at the top of the document.

Loading your data within a global chunk will result in substantially better startup performance for your users so is highly recommended. As described above, you should perform any expensive loading of data within the global chunk, for example:. Note that special handling of the global chunk is a recently introduced feature of the rmarkdown package v1.

As illustrated above, inputs are added by calling an R function e. The Shiny package makes available a wide variety of functions for creating inputs, a few of them include:. Outputs react to changes in input by running their render code e.

The Shiny package also includes a wide variety of render functions, including:. Sidebars always appear on the left no matter where they are defined within the flow of the document. You can alter the default width of the sidebar using the data-width attribute, for example:. If you are creating a flexdashboard with Multiple Pages you may want to use a single sidebar that applies across all pages.

In this case you should define the sidebar using a level 1 markdown header the same as is used to define pages. Several examples are available to help you learn more about using Shiny with flexdashboard each example includes full source code :. The following articles are excellent resources for learning more about Shiny and creating interactive documents:. The Shiny Dev Center includes extensive articles, tutorials, and examples to help you learn more about Shiny. The Introduction to Interactive Documents article provides a great resources for getting started with Shiny and R Markdown.

The R Markdown website includes additional details on the various options for deploying interactive documents.Use R Markdown to publish a group of related data visualizations as a dashboard. Support for a wide variety of components including htmlwidgets ; base, lattice, and grid graphics; tabular data; gauges and value boxes; and text annotations.

Flexible and easy to specify row and column-based layouts. Components are intelligently re-sized to fill the browser and adapted for display on mobile devices. Storyboard layouts for presenting sequences of visualizations and related commentary. If you are not using RStudio, you can create a new flexdashboard R Markdown file from the R console:.

You can use flexdashboard to publish groups of related data visualizations as a dashboard. A flexdashboard can either be static a standard web page or dynamic a Shiny interactive document. A wide variety of components can be included in flexdashboard layouts, including:. Interactive JavaScript data visualizations based on htmlwidgets.

See the dashboard components documentation for additional details on the use of each component type.

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Dashboards are divided into columns and rows, with output components delineated using level 3 markdown headers. By default, dashboards are laid out within a single column, with charts stacked vertically within a column and sized to fill available browser height.

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For example, this layout defines a single column with two charts that fills available browser space:. Depending on the nature of your dashboard number of components, ideal height of components, etc.

For example, here is the definition of a single column scrolling layout with three charts:. To lay out charts using multiple columns you introduce a level 2 markdown header for each column. For example, this dashboard displays 3 charts split across two columns:.

You can also choose to orient dashboards row-wise rather than column-wise by specifying the orientation: rows option. For example, this layout defines two rows, the first of which has a single chart and the second of which has two charts:. The Using page includes documentation on all of the features and options of flexdashboard, including layout orientations row vs.

The Shiny page describes how to create dashboards that enable viewers to change underlying parameters and see the results immediately, or that update themselves incrementally as their underlying data changes. The Layouts page includes a variety of sample layouts which you can use as a starting point for your own dashboards.

The Examples page includes several examples of flexdashboard in action including links to source code if you want to dig into how each example was created. Home Using Shiny Layouts Examples. Optionally use Shiny to drive visualizations dynamically. Dashboard Basics Components You can use flexdashboard to publish groups of related data visualizations as a dashboard.

A wide variety of components can be included in flexdashboard layouts, including: Interactive JavaScript data visualizations based on htmlwidgets.

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R graphical output including base, lattice, and grid graphics. Tabular data with optional sorting, filtering, and paging. Value boxes for highlighting important summary data.


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