<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/shiny-application-layouts-exercises-part-7/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://www.r-exercises.com/2017/05/12/shiny-application-layouts-exercises-part-7/?utm_source=rss&utm_medium=rss&utm_campaign=shiny-application-layouts-exercises-part-7"> R-exercises</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><a target="_blank" rel="nofollow" href="https://i0.wp.com/www.r-exercises.com/wp-content/uploads/2017/05/time_series_exercises_part4-43.png"><img sizes="(max-width: 150px) 100vw, 150px" alt="" class="wp-image-5834" src="https://i2.wp.com/www.r-exercises.com/wp-content/uploads/2017/05/time_series_exercises_part4-43-150x150.png?resize=150%2C150" data-recalc-dims="1"></a><strong>Shiny Application Layouts – Conditional Panel</strong></p>
<p>In the seventh part of our series we will use the <a target="_blank" rel="nofollow" href="https://stat.ethz.ch/R-manual/R-devel/library/stats/html/Normal.html"><code>rnorm()</code></a> function to create a UI with a Conditional Panel.</p>
<p>This type of Panel is visible only when the value of a JavaScript expression is true. The JS expression is re-evaluated every time shiny runs with a different input.</p>
<p>This part can be useful for you in two ways. </p>
<p>First of all, you can see different ways to enhance the appearance and the utility of your shiny app. </p>
<p>Secondly you can make a revision on what you learnt in <a target="_blank" rel="nofollow" href="http://www.r-exercises.com/2016/12/12/building-shiny-app-exercises-part-1/">“Building Shiny App”</a> series as we will build basic shiny staff in order to present it in the proper way.</p>
<p>Read the examples below to understand the logic of what we are going to do and then test yous skills with the exercise set we prepared for you. Lets begin!</p>
<p>Answers to the exercises are available <a target="_blank" rel="nofollow" href="http://r-exercises.com/2017/05/12/shiny-application-layouts-solutions-part-7/">here</a>.</p>
<p><strong>Exercise 1</strong></p>
<p>Create the initial fluid page. <strong>HINT</strong>: Use <code>fluidPage()</code>.</p>
<p><strong>Exercise 2</strong></p>
<p>Name your application with a title. ΗΙΝΤ: Use <code>titlePanel()</code>.</p>
<p><strong>Exercise 3</strong></p>
<p>Create 3 columns as space for your slider. <strong>HINT</strong>: Use <code>column()</code>.</p>
<p><strong>Exercise 4</strong></p>
<p>Inside the <code>column()</code> you just created place a well Panel. <strong>HINT</strong>: Use <code>wellPanel()</code>.</p>
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<div><strong>Learn more</strong> about Shiny in the online course <a target="_blank" rel="nofollow" href="http://www.r-exercises.com/product/r-shiny-interactive-web-apps/">R Shiny Interactive Web Apps – Next Level Data Visualization</a>. In this course you will learn how to create advanced Shiny web apps; embed video, pdfs and images; add focus and zooming tools; and many other functionalities (30 lectures, 3hrs.).</div>
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<p>
<strong>Exercise 5</strong></p>
<p>In the well Panel you just created put a slider with features <code>min</code> = 10, <code>max</code> = 200, <code>value</code> = 40 and <code>step</code> = 10. <strong>HINT</strong>: Use <code>sliderInput()</code>.</p>
<p>Now we are going to create the message that will explain why the plot will not be displayed when the JS expression is NOT TRUE.</p>
<p><strong>Exercise 6</strong></p>
<p>Use 5 columns as space for your message and the plot we are going to create later. The message will be “Less than 40-Error”.</p>
<p><strong>Conditional Panel</strong></p>
<p>The condition of the Conditional Panel is a JavaScript expression. Input values like <code>input$n</code> are accessed with dots, as in <code>input.n</code><br>
#ui.R<br>
<code>conditionalPanel(&quot;input.n >= 50&quot;)</code></p>
<p><strong>Exercise 7</strong></p>
<p>In the columns you just created place a conditional panel with condition the number of the input “c” to be more than 40 in order to display the plot.</p>
<p><strong>Exercise 8</strong></p>
<p>Create the ui side of your plot. <strong>HINT</strong>: Use <code>plotOutput()</code>.</p>
<p>This is the server side of the scatter plot you want to create.<br>
#server.R<br>
<code>output$sc &lt;- renderPlot({<br>
    x &lt;- rnorm(input$c)<br>
    y &lt;- rnorm(input$c)<br>
    plot(x, y)<br>
  })</code></p>
<p><strong>Exercise 9</strong></p>
<p>Create the server side of your plot. <strong>HINT</strong>: Use <code>renderPlot()</code>.</p>
<p><strong>Exercise 10</strong></p>
<p>Change your condition to <code>&lt;=40</code> and spot the differnece.</p>
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<h3>Related exercise sets:</h3>
<ol>
<li><a title="Building Shiny App exercises part 4" target="_blank" rel="nofollow" href="http://www.r-exercises.com/2017/01/01/building-shiny-app-exercises-part-4/">Building Shiny App exercises part 4 </a></li>
<li><a title="Building Shiny App exercises part 1" target="_blank" rel="nofollow" href="http://www.r-exercises.com/2016/12/12/building-shiny-app-exercises-part-1/">Building Shiny App exercises part 1 </a></li>
<li><a title="Building Shiny App Exercises (part-9)" target="_blank" rel="nofollow" href="http://www.r-exercises.com/2017/04/01/building-shiny-app-exercises-part-9/">Building Shiny App Exercises (part-9) </a></li>
<li><a target="_blank" rel="nofollow" href="http://www.r-exercises.com/start-here-to-learn-r/">Explore all our (>1000) R exercises</a></li>
<li><a target="_blank" rel="nofollow" href="http://www.r-exercises.com/r-courses/">Find an R course using our R Course Finder</a> directory</li>
</ol>
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