flexdashboard r examples


This layout is a simple stack of three charts. ggplotly: ggplot2 geoms . This code chunk follows a header for what would otherwise be a plot or a table, i.e., a ### header. Thomas Alcock 19. This layout displays the right column as a set of two tabs. For example, the scatterplot is rendered as a plotly output: You can use the render functions you would also use in a Shiny application. 10, 8005 Zürich You can also specify “menu” to provide a generic sharing drop-down menu that includes all of the services. Charts based on htmlwidgets are ideal for use with flexdashboard because they can dynamically re-size themselves, so will nearly always fit perfectly within the bounds of their flexdashboard containers. Sample flexdashboard Layouts. The htmlwidgets framework provides high-level R bindings for JavaScript data visualization libraries. Flexdashboard Example. R graphical output including base, lattice, and grid graphics. deploy your Shiny document on ShinyApps.io. The examples below illustrate the use of flexdashboard with various packages and layouts. The title is simply the text after the level 3 (###) section heading. Depending on the layout, it may make sense to use {.data-width = } instead.

Flexdashboard Example. There are multiple sources from which icons can be drawn. Row height can be modified by using {.data-height = } after a row name if you chose a row-oriented layout. However, what you’ve learned here is only the beginning! The align field is optional (it can be “left” or “right” and defaults to “right”). “#ffffff”, “rgb(100,100,100)”, etc.).

R Graphics. This layout displays the bottom row as a set of two tabs. Make sure that all of the necessary files are part of the same folder. For example, here are three side-by-side sections each displaying a single value: Here is the code which was used to generate these value boxes: The valueBox function is called to emit a value and specify an icon (see Icon Sets below for details on available icons).
STATWORXis a consulting company for data science, statistics, machine learning and artificial intelligence located in Frankfurt, Zurich and Vienna.

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. You can do this by creating two identically titled sections and applying the {.mobile} class attribute to one of them. Notice that the widgets are identical to those you typically find in a Shiny application and they’ll work because runtime: shiny is specified in the YAML. For example, if you have a page with the anchor “#details” you could link a gauge to it as follows: To include a gauge within a Shiny flexdashboard you need to be sure to wrap the gauge output in renderGauge (so that it is updated when inputs it depends on change). STATWORX ist ein Beratungsunternehmen für Data Science, Statistik und Machine Learning.
The height of charts is determined in one of two ways depending on whether your dashboard is configured to fit itself into the vertical confines of the page (vertical_layout: fill) or to scroll (vertical_layout: scroll): For dashboards that fill the page the height of charts will be determined by the height of the browser, with vertically stacked charts splitting the available height evenly (unless overridden via the data-height attribute as described below).

For example, the following is a simple dashboard definition that includes 3 dygraphs time-series charts: Note that one disadvantage of htmlwidgets is that they embed their data directly in their host web page, so may encounter performance problems for larger datasets. Year in review remix. For scrolling dashboards, the height of charts will be determined by the knitr fig.height option, which defaults to 5 inches (480 pixels). If a gauge displays a value for which additional detail is available on another dashboard page you can enable navigation to the other page via the href parameter.

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