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Garrett Grolemund

How to start with Shiny, Part 1

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How to build a Shiny App

Slides at: bit.ly/shiny-quickstart-1

bit.ly/shiny-quickstart-1Code and slides at:

How to start with Shiny

1. How to build a Shiny app (Today)

2. How to customize reactions (May 27)

3. How to customize appearance (June 3)

www.rstudio.com/products/shiny/shiny-user-showcase/

Shiny Showcase

Learn R

More atwww.rstudio.com/resources/training/online-learning/

DataCamp

Books Videos Interactive tutorials

shop.oreilly.com/product/0636920028574.do

adv-r.had.co.nz/ shop.oreilly.com/product/0636920034834.do

shop.oreilly.com/product/0636920035992.do

www.datacamp.com

Understand the architecture

Every Shiny app is maintained by a computer running R

Server Instructions User Interface (UI)

Use the template

library(shiny)ui <- fluidPage()

server <- function(input, output) {}

shinyApp(ui = ui, server = server)

App templateThe shortest viable shiny app

Close an app

Add elements to your app as arguments to fluidPage()

library(shiny)ui <- fluidPage("Hello World")

Build your app around

Inputs and Outputs

Build your app around inputs and outputs

Add elements to your app as arguments to fluidPage()

ui <- fluidPage( # *Input() functions, # *Output() functions)

Inputs

sliderInput(inputId = "num", label = "Choose a number", value = 25, min = 1, max = 100)

Create an input with an *Input() function.

<div class="form-group shiny-input-container"> <label class="control-label" for="num">Choose a number</label> <input class="js-range-slider" id="num" data-min="1" data-max="100" data-from="25" data-step="1" data-grid="true" data-grid-num="9.9" data-grid-snap="false" data-prettify-separator="," data-keyboard="true" data-keyboard-step="1.01010101010101"/> </div>

library(shiny) ui <- fluidPage(

shinyApp(server = server, ui = ui)

Create an input with an input function.

library(shiny) ui <- fluidPage( sliderInput(inputId = "num", label = "Choose a number", value = 25, min = 1, max = 100) )

shinyApp(server = server, ui = ui)

Create an input with an input function.

actionButton()submitButton()

checkboxInput() checkboxGroupInput() dateInput()

dateRangeInput() fileInput() numericInput() passwordInput()

radioButtons() selectInput() sliderInput() textInput()

Syntax

label to display

input name (for internal use)

Notice: Id not ID

sliderInput(inputId = "num", label = "Choose a number", …)

input specific arguments

?sliderInput

Outputs

Function InsertsdataTableOutput() an interactive tablehtmlOutput() raw HTMLimageOutput() imageplotOutput() plottableOutput() tabletextOutput() textuiOutput() a Shiny UI elementverbatimTextOutput() text

To display output, add it to fluidPage() with an *Output() function

*Output()

plotOutput("hist")

name to give to the output object

the type of output to display

library(shiny)

ui <- fluidPage( sliderInput(inputId = "num", label = "Choose a number", value = 25, min = 1, max = 100), plotOutput("hist") )

Comma between arguments

library(shiny)

* Output() adds a space in the ui for an R object.

library(shiny)

* Output() adds a space in the ui for an R object.

You must build the object in the server function

Display reactive results with an *Output() function

RecapBegin each app with the templatelibrary(shiny)

ui <- fluidPage()server <- function(input, output) {}shinyApp(ui = ui, server = server)

Add elements as arguments to fluidPage()Hello World

Create reactive inputs with an *Input() function

Assemble outputs from inputs in the server function

Tell the

server how to assemble inputs into outputs

server <- function(input, output) {

Use 3 rules to write the server function

Save objects to display to output$1server <- function(input, output) { output$hist <- # code

Save objects to display to output$1output$hist

plotOutput("hist")

Build objects to display with render*()

server <- function(input, output) { output$hist <- renderPlot({

function creates

renderDataTable() An interactive table

renderImage() An image (saved as a link to a source file)

renderPlot() A plot

renderPrint() A code block of printed output

renderTable() A table

renderText() A character string

renderUI() a Shiny UI element © CC 2015 RStudio, Inc.

Use the render*() function that creates the type of output you wish to make.

(from a data frame, matrix, or other table-like structure)

renderPlot({ hist(rnorm(100)) })

render*()

code block that builds the object

Builds reactive output to display in UI

type of object to build

server <- function(input, output) { output$hist <- renderPlot({ hist(rnorm(100)) })}

server <- function(input, output) { output$hist <- renderPlot({ title <- "100 random normal values" hist(rnorm(100), main = title) })}

Access input values with input$

server <- function(input, output) { output$hist <- renderPlot({ hist(rnorm(input$num)) })}

sliderInput(inputId = "num",…)

input$num

Access input values with input$3

The input value changes whenever a user changes the input.

input$num = 25

input$num = 50

input$num = 75

Input values

The input value changes whenever a user changes the input.

input$num = 25

input$num = 50

input$num = 75

Input values

Output

will auto

matica

lly up

if you

w the 3

Slides at: bit.ly/shinyLONDON

Reactivity automatically occurs whenever you use an input value to render an output object

Reactivity 101

function(input, output) { output$hist <- renderPlot({ hist(rnorm(input$num)) })})

input$num

renderPlot({ hist(rnorm(input$num)) })

input$num

Recap: Server

Create reactivity by using Inputs to build rendered Outputs

1. Save the output that you build to output$output$hist <-

2. Build the output with a render*() functionrenderPlot({ hist(rnorm(input$num)) })

3. Access input values with input$input$num

Use the server function to assemble inputs into outputs. Follow 3 rules:

Share your app

How to save your appOne directory with every file the app needs:• app.R (your script which ends with a call to shinyApp())• datasets, images, css, helper scripts, etc.

# ui.Rlibrary(shiny)fluidPage( sliderInput(inputId = "num", label = "Choose a number", value = 25, min = 1, max = 100), plotOutput("hist"))

# server.Rlibrary(shiny)function(input, output) { output$hist <- renderPlot({ hist(rnorm(input$num)) })}

library(shiny)

ui <- fluidPage( sliderInput(inputId = "num", label = "Choose a number", value = 25, min = 1, max = 100), plotOutput("hist"))

server <- function(input, output) { output$hist <- renderPlot({ hist(rnorm(input$num)) })}

Two file apps

Two file appsOne directory with two files:• server.R

• ui.R

Launch an app

Display options

Use shinyapps.io

Property of

Shinyapps.ioA server maintained by RStudio• free• easy to use• secure• scalable

Property of

Getting started guideshiny.rstudio.com/articles/shinyapps.html

Build your own server

www.rstudio.com/products/shiny/shiny-server/A back end program that builds a linux web server specifically designed to host Shiny apps.

Shiny Server Free!

Shiny Serverwww.rstudio.com/products/shiny/shiny-server/

Pro• Secure access - LDAP, GoogleAuth, SSL, and more• Performance - fine tune at app and server level• Management - monitor and control resource use• Support - direct priority support

45 day evaluation free trial

Recap: Sharing

library(shinyapps) 2. Install the shinyapps package

Save your app in its own directory as app.R, or ui.R and server.R

1. Sign up for a free shinyapps.io account

Build your own server with Shiny Server or Shiny Server Pro!"

Host apps at shinyapps.io by:!by

Learn more

You now how to

Build an app Create interactions

Share your apps

output$

input$render*()

input$num

library(shiny)ui <- fluidPage()server <- function(input, output) {}shinyApp(ui = ui, server = server)

*Input()

*Output()

How to start with Shiny

1. How to build a Shiny app (Today)

2. How to customize reactions (May 27)

3. How to customize appearance (June 3)

shiny.rstudio.com

The Shiny Development Center

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