![]() ![]() You use the fixedPage() and fixedRow() functions to build the grid. Here are the differences to keep in mind: Using fixed grids in Shiny works almost identically to fluid grids. In general we recommend using fluid grids unless you absolutely require the lower level layout control afforded by a fixed grid. The main drawback is that it’s a bit more complex to work with. The main benefit of a fixed grid is that it provides stronger guarantees about how users will see the various elements of your UI laid out (this is because it’s not being dynamically laid out according to the width of the browser). If Bootstrap responsive features are enabled (they are by default in Shiny) then the grid will also adapt to be 724px or 1170px wide depending on your viewport (e.g. when on a tablet). The fixed grid system also utilizes 12 columns, and maintains a fixed width of 940 pixels by default. Note that each time a fluidRow() is introduced the columns within the row add up to 12. Ui <- fluidPage( fluidRow( column( 12, "Fluid 12", fluidRow( column( 6, "Fluid 6", fluidRow( column( 6, "Fluid 6"), column( 6, "Fluid 6") ) ), column( width = 6, "Fluid 6") ) ) ) ) To create rows within the grid you use the fluidRow() function to create columns within rows you use the column() function.įor example, consider this high level page layout (the numbers displayed are columns out of a total of 12): To create a layout based on the fluid system you use the fluidPage() function. The Bootstrap grid system utilizes 12 columns which can be flexibly subdivided into rows and columns. The following sections are a translation of the official Bootstrap 3 grid system documentation, with HTML code replaced by R code. The fixed system occupies a fixed width of 940 pixels by default and may assume other widths when Bootstrap responsive layout kicks in (e.g. when on a tablet). The fluid system always occupies the full width of the web page and re-sizes it’s components dynamically as the size of the page changes. The examples so far have used the fluid grid system exclusively and that’s the system that’s recommended for most applications (and the default for Shiny functions like navbarPage() and sidebarLayout()).īoth grid systems use a flexibly sub-dividable 12-column grid for layout. There are two types of Bootstrap grids, fluid and fixed. TRUE to automatically collapse the navigation elements into a menu when the width of the browser is less than 940 pixels (useful for viewing on smaller touchscreen device) TRUE to use a dark background and light text for the navigation bar Tag or list of tags to display as a common footer below all tabPanels Tag of list of tags to display as a common header above all tabPanels. There are several other arguments to navbarPage() that provide additional measures of customization: Argument Ui <- navbarPage( "My Application", tabPanel( "Component 1"), tabPanel( "Component 2"), navbarMenu( "More", tabPanel( "Sub-Component A"), tabPanel( "Sub-Component B")) ) Additional Options This can be accomplished using the tabsetPanel() function. Often applications need to subdivide their user-interface into discrete sections. You can find out more about grid layouts in the Grid Layouts in Depth section below. ![]() Grid layouts can be used anywhere within a fluidPage() and can even be nested within each other. The page doesn’t include a titlePanel() so the title is specified as an explicit argument to fluidPage(). The offset parameter is used on the center input column to provide custom spacing between the first and second columns. The inputs are at the bottom and broken into three columns of varying widths. There are a few important things to note here: Library(shiny) library(ggplot2) dataset <- diamonds ui <- fluidPage( title = "Diamonds Explorer", plotOutput( 'plot'), hr(), fluidRow( column( 3, h4( "Diamonds Explorer"), sliderInput( 'sampleSize', 'Sample Size', min= 1, max= nrow(dataset), value= min( 1000, nrow(dataset)), step= 500, round= 0), br(), checkboxInput( 'jitter', 'Jitter'), checkboxInput( 'smooth', 'Smooth') ), column( 4, offset = 1, selectInput( 'x', 'X', names(dataset)), selectInput( 'y', 'Y', names(dataset), names(dataset)]), selectInput( 'color', 'Color', c( 'None', names(dataset))) ), column( 4, selectInput( 'facet_row', 'Facet Row', c( None= '.', names(dataset))), selectInput( 'facet_col', 'Facet Column', c( None= '.', names(dataset))) ) ) )
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