README.md
In Appsilon/shiny.semantic: Semantic UI Support for Shiny

shiny.semantic

Fomantic (Semantic) UI wrapper for Shiny.

With this library it is easy to wrap Shiny with Fomantic UI (previously Semantic). Add a few simple lines of code to give your UI a fresh, modern and highly interactive look.

shiny

shiny

library(shiny)
ui <- fluidPage(
  div(
    div(
      a("Link"),
      p("Lorem ipsum, lorem ipsum, lorem ipsum"),
      actionButton("button", "Click")
    )
  )
)

shiny.semantic

semantic

library(shiny.semantic)
ui <- semanticPage(
  div(class = "ui raised segment",
    div(
      a(class="ui green ribbon label", "Link"),
      p("Lorem ipsum, lorem ipsum, lorem ipsum"),
      actionButton("button", "Click")
    )
  )
)

| :link: Churn analytics | :link: Fraud detection | | :------------------------------------------------------: | :-------------------------------------------------------: | | | |

We show how shiny.semantic can be used to style an app and change it’s look.

| :link: BEFORE Utah Division of Water Quality (DWQ) | :link: AFTER Utah Division of Water Quality (DWQ) | | :-----------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------: | | | |

See more examples with code in the examples folder:

You can install a stable shiny.semantic release from CRAN repository:

install.packages("shiny.semantic")

and the latest version with remotes:

remotes::install_github("Appsilon/shiny.semantic@develop")

(master branch contains the stable version. Use develop branch for latest features)

To install previous versions you can run:

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

Firstly, you will have to invoke shinyUI() with semanticPage() instead of standard Shiny UI definitions like e.g. bootstrapPage(). From now on, all components can be annotated with Fomantic UI specific CSS classes and also you will be able to use shiny.semantic components.

Basic example for rendering a simple button. will look like this:

library(shiny)
library(shiny.semantic)
ui <- semanticPage(
      title = "My page",
      div(class = "ui button", icon("user"),  "Icon button")
    )
server <- function(input, output) {}
shinyApp(ui, server)

For better understanding it’s good to check Fomantic UI documentation.

Note #1

At the moment you have to pass page title in semanticPage()

semanticPage(title = "Your page title", ...)

Note #2

The shiny package works with Bootstrap library under the hood. shiny.semantic uses Fomantic UI. Sometimes using both of these libraries may cause troubles with rendering specific UI elements. That is why by default we turn off Bootstrap dependencies.

However, you can switch off suppressing bootstrap by calling semanticPage(suppress_bootstrap = FALSE, ...)

We welcome contributions of all types!

We encourage typo corrections, bug reports, bug fixes and feature requests. Feedback on the clarity of the documentation and examples is especially valuable.

If you want to contribute to this project please submit a regular PR, once you’re done with new feature or bug fix.

Changes in vignettes

If you modified or added a new vignette, please rebuild them with devtools::build_vignettes().

Important:

1) Please follow the code style from out styleguide.

2) We have a Contributor Code of Conduct. Make sure to check it and to follow it.

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:

Up-to-date R language environment
Installing specific dependent libraries versions

shiny

install.packages("shiny", version='1.4')

Some bugs may be related directly to Semantic UI. In that case please try to check issues on its repository.
Some bugs may be related to Bootstrap. Please make sure you have it suppressed. Instructions are above in How to use it? section.

create all update functions for input components to mimic shiny as close as possible
add some glue code in dsl.R to make using this package smoother
adding more semantic components
new version release on CRAN