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app.R
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app.R
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# Direct copy of https://github.com/rstudio/shiny/blob/3edf9bfad8ad69a93f744a4f63447442d23e7c9a/inst/examples-shiny/01_hello/app.R
library(shiny)
library(bslib)
# Define UI for app that draws a histogram ----
ui <- page_sidebar(
# App title ----
title = "Hello R/Pharma 2024!",
# Sidebar panel for inputs ----
sidebar = sidebar(
# Input: Slider for the number of bins ----
sliderInput(
inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30
)
),
# Output: Histogram ----
plotOutput(outputId = "distPlot")
)
# Define server logic required to draw a histogram ----
server <- function(input, output) {
# Histogram of the Old Faithful Geyser Data ----
# with requested number of bins
# This expression that generates a histogram is wrapped in a call
# to renderPlot to indicate that:
#
# 1. It is "reactive" and therefore should be automatically
# re-executed when inputs (input$bins) change
# 2. Its output type is a plot
output$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"
)
})
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)