Description Usage Arguments Note Author(s) Examples
Build a Metro window
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... |
Any UI element. |
title |
Window title. |
icon |
Window icon. |
shadow |
Whether to display a shadow around the window. TRUE by default. |
header_color |
Header background color. |
content_color |
Content background color. |
content_text_color |
Content text color. |
minimize |
Whether the window can be minimized. TRUE by default. |
closable |
Whether the window can be closed. TRUE by default. |
draggable |
Whether the window can be dragged. FALSE by default. |
resizable |
Whether the window can be resized. FALSE by default. |
width |
Window width. |
height |
Window height. |
It is better to use only 2 windows per page and embed them as in the example below.
David Granjon, dgranjon@ymail.com
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library(shiny)
library(shinyMetroUi)
shiny::shinyApp(
ui = metroPage(
allow_loading = TRUE,
fluidRow(
metroCell(
metroWindow(
title = "Window",
resizable = TRUE,
width = "100%",
header_color = "red",
content_color = "black",
content_text_color = "yellow",
# content
metroTilesGrid(
metroTile(
size = "small",
color = "indigo",
icon = "github",
url = "https://github.com/olton/Metro-UI-CSS"),
metroTile(size = "small", color = "green", icon = "envelop"),
metroTile(size = "small", color = "blue", col_position = 1, row_position = 2),
metroTile(size = "small", color = "orange", col_position = 2, row_position = 2),
metroTile(
size = "wide",
color = "pink",
sliderInput("obs", "Number of observations:",
min = 0, max = 1000, value = 500
)
),
metroTile(
size = "large",
color = "green",
selected = TRUE,
plotOutput("distPlot")
)
)
)
),
metroCell(
metroWindow(
title = "Window",
resizable = TRUE,
width = "100%",
header_color = "red",
content_color = "black",
content_text_color = "yellow",
# content
metroTilesGrid(
metroTile(size = "large",color = "brown", icon = "windows"),
metroTile(size = "wide", color = "crimson", icon = "envelop"),
metroTile(size = "small", color = "cobalt", col_position = 1, row_position = 2),
metroTile(size = "small", color = "olive", col_position = 2, row_position = 2)
)
)
)
)
),
server = function(input, output) {
output$distPlot <- renderPlot({
hist(rnorm(input$obs))
})
}
)
}
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