A Quick Introduction to R ShinyAlec Stephenson 14 November 2013

COMPUTATIONAL INFORMATICS

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Introduction

•Write Simple Web Applications Using (Only) R•No Need for HTML or Javascript•Great for Communication and Visualization• http://www.rstudio.com/shiny/showcase/• http://rstudio.github.io/shiny/tutorial/

•Web Application Development Using R With Shinyby Chris Beeley

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Examples Outline

• Showcase Examples• Modelling Heights & Weights of Schoolchildren• Exploring Diamonds

• Tutorial Examples• Hello Shiny: Random Samples Histogram• Widgets: Data Tables & Summaries• Tabsets: More Random Samples

•My Own Examples• Co-authorship Network• Fire Danger Maps

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Hello Shiny

• ui.RshinyUI(pageWithSidebar((

headerPanel, sidebarPanel, mainPanel))

• server.RshinyServer(function(input, output) {……})

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Hello Shiny: ui.R

•headerPanel("Hello Shiny!")• sidebarPanel(sliderInput("obs", "Number of

observations:", min = 1, max = 1000, value = 500) )•mainPanel(plotOutput("distPlot") )

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Hello Shiny: server.R

output$distPlot <- renderPlot({dist <- rnorm(input$obs) hist(dist) })

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Running Web Apps (Local Browser)

library(shiny)

runApp("folder_name")

runExample()runExamples("01_hello")runExamples("07_widgets")

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Widgets: ui.R

•headerPanel("More Widgets")• sidebarPanel(

selectInput("dataset", "Choose a dataset:", choices = c("rock", "pressure", "cars")), numericInput("obs", "Number of observations to view:", 10), helpText("Blah Blah Blah Blah"),submitButton("Update View"))

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Widgets: ui.R

•mainPanel(h4("Summary"),

verbatimTextOutput("summary"), h4("Observations"),

tableOutput("view") )

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Widgets: server.R

datasetInput <- reactive({ switch(input$dataset, "rock" = rock, "pressure" = pressure, "cars" = cars) })

output$summary <- renderPrint({ dataset <- datasetInput() summary(dataset) })

output$view <- renderTable({ head(datasetInput(), n = input$obs) })

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Tabsets: ui.R

•headerPanel("Tabsets")• sidebarPanel(

radioButtons("dist", "Distribution type:", list("Normal"="norm", "Uniform" ="unif", "Log-normal" = "lnorm", "Exponential" = "exp")), br(), sliderInput("n", "Number of observations:", value = 500, min = 1, max = 1000) )

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Tabsets: ui.R

•mainPanel( tabsetPanel( tabPanel("Plot", plotOutput("plot")),tabPanel("Summary", verbatimTextOutput("summary")), tabPanel("Table", tableOutput("table")) ))

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Tabsets: server.R

data <- reactive({ dist <- switch(input$dist, norm = rnorm, unif = runif, lnorm = rlnorm, exp = rexp, rnorm); dist(input$n) })

output$plot <- renderPlot({ dist <- input$dist; n <- input$n; hist(data(), main=paste0('r', dist, '(', n, ')')) })

output$summary <- renderPrint({ summary(data()) }) output$table <- renderTable({ data.frame(x=data()) })

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Conclusion

•Have a go with your own data• Put your application on a web server• Send everyone the links:

http://spark.rstudio.com/alec/fire/http://spark.rstudio.com/alec/snet/

COMPUTATIONAL INFORMATICS

Thank youComputational InformaticsAlec Stephenson

t +61 3 9545 8019e alec.stephenson@csiro.au