library(shiny)
library(tidyverse)
# Define UI for app that draws a histogram ----
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Slider for the number of bins ----
sliderInput(inputId = "bins",
label = "Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Main panel for displaying outputs ----
mainPanel(
# 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$waiting
bins <- input$bins
max_count <- nrow(faithful)
# hist(x, breaks = bins, col = "#75AADB", border = "white",
# xlab = "Waiting time to next eruption (in mins)",
# main = "Histogram of waiting times")
ggplot(data = select(faithful,waiting)) +
aes(x=waiting) +
ylim(c(0,max_count))+
geom_histogram(bins=bins, alpha=.5, fill="#6699FF")+
geom_histogram(bins=50, alpha=.5) +
xlab("Waiting time to next eruption (in mins)") +
ggtitle("Histogram of waiting times")
})
}
# Create Shiny app ----
shinyApp(ui = ui, server = server)