I have long wanted to include simple Shiny
apps in my lecture notes so that I can show data science concepts to my students quickly. Today, I want to see if shinylive
helps me.
For now, I am following this blog post by jhk0530
After installing the shinylive
Quarto extension, we add “shinylive” to the filters
in the QMD YAML, and then start the desired code block with {shinylive-r}
.
#| echo: false
#| standalone: true
#| viewerHeight: 800
library(shiny)
ui <- fluidPage(
titlePanel("Hello Shiny!"),
sidebarLayout(
sidebarPanel(
sliderInput(
inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30
)
),
mainPanel(
plotOutput(outputId = "distPlot")
)
)
)
server <- function(input, output) {
output$distPlot <- renderPlot({
x <- faithful$waiting
bins <- seq(min(x), max(x), length.out = input$bins + 1)
hist(x,
breaks = bins, col = "#75AADB", border = "white",
xlab = "Waiting time to next eruption (in mins)",
main = "Histogram of waiting times"
)
})
}
shinyApp(ui = ui, server = server)