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R-shinylive-demo.qmd
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R-shinylive-demo.qmd
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---
title: "Joe Cheng's r-shinylive App in a Quarto document!"
format:
html:
resources:
- shinylive-sw.js
filters:
- shinylive
---
This document contains just the [Shiny App source code](https://github.com/jcheng5/posit-conf-2023-shinylive/blob/d385ad18eb0d867f25cc4721d9e8c25aeb2dfb90/slides.qmd#L299) used in Joe Cheng's [posit::conf(2023) demo](https://jcheng5.github.io/posit-conf-2023-shinylive/#/option-3-include-1) (Warning: Large file size, don't open on mobile!)
For a detailed breakdown, please see the [index.qmd](index.qmd) file.
```{shinylive-r}
#| standalone: true
#| viewerHeight: 600
library(shiny)
library(bslib)
# Define UI for app that draws a histogram ----
ui <- page_sidebar(
sidebar = sidebar(open = "open",
numericInput("n", "Sample count", 100),
checkboxInput("pause", "Pause", FALSE),
),
plotOutput("plot", width=1100)
)
server <- function(input, output, session) {
data <- reactive({
input$resample
if (!isTRUE(input$pause)) {
invalidateLater(1000)
}
rnorm(input$n)
})
output$plot <- renderPlot({
hist(data(),
breaks = 40,
xlim = c(-2, 2),
ylim = c(0, 1),
lty = "blank",
xlab = "value",
freq = FALSE,
main = ""
)
x <- seq(from = -2, to = 2, length.out = 500)
y <- dnorm(x)
lines(x, y, lwd=1.5)
lwd <- 5
abline(v=0, col="red", lwd=lwd, lty=2)
abline(v=mean(data()), col="blue", lwd=lwd, lty=1)
legend(legend = c("Normal", "Mean", "Sample mean"),
col = c("black", "red", "blue"),
lty = c(1, 2, 1),
lwd = c(1, lwd, lwd),
x = 1,
y = 0.9
)
}, res=140)
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)
```
Document Source (minus links):
````md
---
title: "Joe Cheng's r-shinylive App in a Quarto document!"
format:
html:
resources:
- shinylive-sw.js
filters:
- shinylive
---
```{shinylive-r}
#| standalone: true
#| viewerHeight: 600
library(shiny)
library(bslib)
# Define UI for app that draws a histogram ----
ui <- page_sidebar(
sidebar = sidebar(open = "open",
numericInput("n", "Sample count", 100),
checkboxInput("pause", "Pause", FALSE),
),
plotOutput("plot", width=1100)
)
server <- function(input, output, session) {
data <- reactive({
input$resample
if (!isTRUE(input$pause)) {
invalidateLater(1000)
}
rnorm(input$n)
})
output$plot <- renderPlot({
hist(data(),
breaks = 40,
xlim = c(-2, 2),
ylim = c(0, 1),
lty = "blank",
xlab = "value",
freq = FALSE,
main = ""
)
x <- seq(from = -2, to = 2, length.out = 500)
y <- dnorm(x)
lines(x, y, lwd=1.5)
lwd <- 5
abline(v=0, col="red", lwd=lwd, lty=2)
abline(v=mean(data()), col="blue", lwd=lwd, lty=1)
legend(legend = c("Normal", "Mean", "Sample mean"),
col = c("black", "red", "blue"),
lty = c(1, 2, 1),
lwd = c(1, lwd, lwd),
x = 1,
y = 0.9
)
}, res=140)
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)
```
````