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library(shiny)
library(card.pro)
ui <- fluidPage(
use.cardpro(theme = "a", fix.header = TRUE),
moveable(
tags$h2("card.pro package: shiny 2.0 Built to your specifications..."),
tags$h4(class ="c-purple","drag, resize, rearrage and refresh. your settings preserved!"),
tags$hr(),
card.pro(
tags$p("Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua."),
progressInput(id="id1", label = "TRACK the progress", striped = TRUE),
progressInput(id="id2", value = "90%", color = "green"),
progressInput(id="id3", value = "45%", color = "blue", size = "s"),
alert.text = "Here is an alert functionality",
alert.type = "danger",
tabs = list(
tabEntry(
"Main",
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30
)
),
tabEntry(
"Values",
textInput("nor1", "Enter name"), "Content for 1",
textInput("nor1", "Enter name"), "Content for 1",
actionButton("nor1", "Try click"), "sample"
)
),
collapsibleGroup = list(
collapseEntry(title = "Setup collapsible 1", "Convallis aesus."),
collapseEntry(title = "Setup collapsible2", collapsed = TRUE, "nextGenShinyApps.")
),
title = "Analysis Setup",
width = 3,
header.bg = "purple",
colorbtn = FALSE,
editbtn = FALSE
),
card.pro(
plotOutput("distPlot"),
plotOutput("distPlot2"),
xtra.header.content = div(class="c-red","Downloading graph..."),
sidebar = div(
"Plot settings",
textInput("testy", "Y-axis title", "Concentration"),
textInput("testx", "X-axis title", "Time"),
textInput("dpi", "Image dpi", "300"),
textInput("strp", "Subset", "NA"),
actionButton("test3", "Re-graph")
),
title = "Plot output",
width = 6,
header.bg = "yellow",
),
card.pro(
tableOutput("table1"),
title = "Summary table",
width = 3,
header.bg = "red",
collapsibleGroup = list(
collapseEntry(title = "Summary 1", collapsed = TRUE, "eiusmod tempor incididunt"),
collapseEntry(title = "Summary 2", collapsed = TRUE, "Lorem ipsum dolor sit amet")
),
footer = "Here is a sample footer for descriptions"
)
)
)
server <- function(input, output) {
output$table1 <- renderTable({
head(mtcars)
})
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x,
breaks = bins, col = "darkgray", border = "white",
xlab = input$testx,
main = input$testy
)
})
output$distPlot2 <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
plot(bins,quickcode::number(length(bins)))
})
}
# Run the application
shinyApp(ui = ui, server = server)
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