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3.1 KiB
3.1 KiB
To run the example type:
> library(shiny)
> runExample("03_reactivity")
ui.R
library(shiny)
# Define UI for dataset viewer application
shinyUI(pageWithSidebar(
# Application title
headerPanel("Reactivity"),
# Sidebar with controls to provide a caption, select a dataset, and
# specify the number of observations to view. Note that changes made
# to the caption in the textInput control are updated in the output
# area immediately as you type
sidebarPanel(
textInput("caption", "Caption:", "Data Summary"),
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
numericInput("obs", "Number of observations to view:", 10)
),
# Show the caption, a summary of the dataset and an HTML table with
# the requested number of observations
mainPanel(
h3(textOutput("caption")),
verbatimTextOutput("summary"),
tableOutput("view")
)
))
server.R
library(shiny)
library(datasets)
# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output) {
# By declaring databaseInput as a reactive function we ensure that:
#
# 1) It is only called when the inputs it depends on changes
# 2) The computation and result are shared by all the callers (it
# only executes a single time)
# 3) When the inputs change and the function is re-executed, the
# new result is compared to the previous result; if the two are
# identical, then the callers are not notified
#
datasetInput <- reactive(function() {
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# The output$caption is computed based on a reactive function that
# returns input$caption. When the user changes the "caption" field:
#
# 1) This function is automatically called to recompute the output
# 2) The new caption is pushed back to the browser for re-display
#
# Note that because the data-oriented reactive functions below don't
# depend on input$caption, those functions are NOT called when
# input$caption changes.
output$caption <- reactiveText(function() {
input$caption
})
# The output$summary depends on the datasetInput reactive function,
# so will be re-executed whenever datasetInput is re-executed
# (i.e. whenever the input$dataset changes)
output$summary <- reactivePrint(function() {
dataset <- datasetInput()
summary(dataset)
})
# The output$view depends on both the databaseInput reactive function
# and input$obs, so will be re-executed whenever input$dataset or
# input$obs is changed.
output$view <- reactiveTable(function() {
obs <- as.integer(input$obs)
head(datasetInput(), n = obs)
})
})
