# Reactive expression to generate the requested distribution ----
# This is called whenever the inputs change. The output functions
# defined below then use the value computed from this expression
dFP <- reactive({
dist <- switch(input$dist,
norm = rnorm,
unif = runif,
lnorm = rlnorm,
exp = rexp,
rnorm)
dist(input$n)
})
# Generate a plot of the data ----
# Also uses the inputs to build the plot label. Note that the
# dependencies on the inputs and the data reactive expression are
# both tracked, and all expressions are called in the sequence
# implied by the dependency graph.
output$plotFP <- renderPlot({
dist <- input$dist
n <- input$n
hist(dFP(),
main = paste("r", dist, "(", n, ")", sep = ""),
col = "#75AADB", border = "white")
})
# Generate a summary of the data ----
output$summaryFP <- renderPrint({
summary(dFP())
})
# Generate an HTML table view of the data ----
output$tableFP <- renderDT({
# customize the length drop-down menu; display 5 rows per page by default
DT::datatable(data.frame(dFP()), options = list(orderClasses = TRUE,
lengthMenu = c(5, 10, 50), pageLength = 5))
})
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