README.md
In Appsilon/semantic.dashboard: Dashboard with Fomantic UI Support for Shiny

semantic.dashboard

Quick, beautiful and customizable dashboard template for Shiny based on shiny.semantic and Fomantic UI.

Are you fed up with ordinary shinydashboard look?

Give your app a new fresh look with Fomantic UI support.

library(shiny)
library(shinydashboard) # <-- Change this line to: library(semantic.dashboard)

ui <- dashboardPage(
  dashboardHeader(title = "Basic dashboard"),
  dashboardSidebar(sidebarMenu(
      menuItem(tabName = "home", text = "Home", icon = icon("home")),
      menuItem(tabName = "another", text = "Another Tab", icon = icon("heart"))
  )),
  dashboardBody(
    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)

Semantic dashboards comparison

semantic.dashboard offers basic functions for creating dashboard with Fomantic UI.

Install shiny.semantic library first. Here you can find how.

You can install a stable version semantic.dashboard from CRAN repository:

install.packages("semantic.dashboard")

The development version can be installed from GitHub using remotes.

remotes::install_github("Appsilon/semantic.dashboard")

To install previous version you can run:

remotes::install_github("Appsilon/semantic.dashboard", ref = "0.1.0")

You can find examples in the examples/ folder of the GitHub repository.

You can check documentation for tutorials.

If you want to contribute to this project please submit a regular PR, once you're done with new feature or bug fix. Please check development/README.md first! It contains useful information that will help you run your dev environment for semantic.dashboard.

We used the latest versions of dependencies for this library, so please update your R environment before installation.

However, if you encounter any problems, try the following: