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<html>
<head>
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<title>Plotly in Shiny</title>
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<h1>Plotly in Shiny</h1>
<p>Shiny is an R package to create web applications with your data. If you have never used it before you should read RStudio’s tutorial here: <a href="http://shiny.rstudio.com/">http://shiny.rstudio.com/</a></p>
<p>We will start with a basic example of Plotly in Shiny using group checkbox, and ggplot’s iris dataset.</p>
<pre><code class="r">summary(iris)
</code></pre>
<pre><code>## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Min. :4.30 Min. :2.00 Min. :1.00 Min. :0.1
## 1st Qu.:5.10 1st Qu.:2.80 1st Qu.:1.60 1st Qu.:0.3
## Median :5.80 Median :3.00 Median :4.35 Median :1.3
## Mean :5.84 Mean :3.06 Mean :3.76 Mean :1.2
## 3rd Qu.:6.40 3rd Qu.:3.30 3rd Qu.:5.10 3rd Qu.:1.8
## Max. :7.90 Max. :4.40 Max. :6.90 Max. :2.5
## Species
## setosa :50
## versicolor:50
## virginica :50
##
##
##
</code></pre>
<p>Our ui.R file:</p>
<pre><code class="r">library(shiny)
shinyUI(
pageWithSidebar(
headerPanel(title=HTML("Plotly in Shiny"), windowTitle="Plotly in Shiny"),
sidebarPanel(
checkboxGroupInput(inputId="check_group", # ID to be used in server.R
label="Select species:",
choices=list("Setosa"="setosa", # Make sure not to mix names with values
"Versicolor"="versicolor",
"Virginica"="virginica"),
selected=list("setosa", "versicolor", "virginica"))
),
mainPanel(
htmlOutput("plot") # Argument name from server.R
)
))
</code></pre>
<p>Remember to add commas after sidebarPanel() and headerPanel().
For more information on checkboxGroupInput() click here: <a href="http://shiny.rstudio.com/reference/shiny/latest/checkboxGroupInput.html">http://shiny.rstudio.com/reference/shiny/latest/checkboxGroupInput.html</a></p>
<p>Our server.R:</p>
<pre><code class="r">library(shiny) # Load libraries we will be using
library(plotly)
shinyServer(function(input, output) {
output$plot <- renderUI({ # "main" to be used as argument in server.R
subset_iris <- iris[iris$Species %in% input$check_group, ] # Subset dataset
ggiris <- qplot(x=Petal.Width, y=Sepal.Length, data=subset_iris, color=Species)
py <- plotly(username="r_user_guide", key="mw5isa4yqp") # Open Plotly connection
res <- py$ggplotly(ggiris, kwargs=list(filename="Plotly in Shiny",
fileopt="overwrite", # Overwrite plot in Plotly's website
auto_open=FALSE))
tags$iframe(src=res$response$url,
frameBorder="0", # Some aesthetics
height=400,
width=650)
})
})
</code></pre>
<p>For more information on tags$iframe() click here: <a href="http://shiny.rstudio.com/articles/tag-glossary.html">http://shiny.rstudio.com/articles/tag-glossary.html</a></p>
<p>Then after you make sure ui.R and server.R are in the same folder (and working directory), run on your console:</p>
<pre><code class="r">runApp()
</code></pre>
<p>And voilà, a Shiny app using Plotly!</p>
<iframe src="http://plotly.shinyapps.io/plotly_in_shiny/" width="1000" height="500" frameBorder="0"></iframe>
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