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bs4Dash

R build status version cranlogs total Codecov test coverage

Bootstrap 4 shinydashboard using AdminLTE3


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" height="800" width="100%" style="border: 1px solid rgba(0,0,0,0.175); border-radius: .375rem;" allowfullscreen="" allow="autoplay" data-external="1"></iframe>
Expand <script data-bslib-card-init>bslib.Card.initializeAllCards();</script>

bs4Dash usage medical dashboard

From {shinydashboard} to {bs4Dash}

Taking the simple {shinydashboard} example:

library(shiny)
library(shinydashboard)

ui <- dashboardPage(
  dashboardHeader(title = "Basic dashboard"),
  dashboardSidebar(),
  dashboardBody(
    # Boxes need to be put in a row (or column)
    fluidRow(
      box(plotOutput("plot1", height = 250)),

      box(
        title = "Controls",
        sliderInput("slider", "Number of observations:", 1, 100, 50)
      )
    )
  )
)

server <- function(input, output) {
  set.seed(122)
  histdata <- rnorm(500)

  output$plot1 <- renderPlot({
    data <- histdata[seq_len(input$slider)]
    hist(data)
  })
}

shinyApp(ui, server)

Moving to {bs4Dash} is rather simple, as we just replace library(shinydashboard):

library(bs4Dash)
ui <- dashboardPage(
  dashboardHeader(title = "Basic dashboard"),
  dashboardSidebar(),
  dashboardBody(
    # Boxes need to be put in a row (or column)
    fluidRow(
      box(plotOutput("plot1", height = 250)),

      box(
        title = "Controls",
        sliderInput("slider", "Number of observations:", 1, 100, 50)
      )
    )
  )
)

server <- function(input, output) {
  set.seed(122)
  histdata <- rnorm(500)

  output$plot1 <- renderPlot({
    data <- histdata[seq_len(input$slider)]
    hist(data)
  })
}

shinyApp(ui, server)

Installation

# latest devel version
devtools::install_github("RinteRface/bs4Dash")
# from CRAN
install.packages("bs4Dash")

Demo

You may also run:

library(bs4Dash)
bs4DashGallery()

Issues

Issues are listed here.

Acknowledgement

I warmly thank Glyphicons creator for providing them for free with Bootstrap.

Code of Conduct

Please note that the bs4Dash project is released with a Contributor Code of Conduct. By contributing to this project, you agree toabide by its terms.