</p> <h1>RSelenium basics</h1> <h2>Introduction</h2> <p>The goal of RSelenium is to make it easy to connect to a Selenium Server/ Remote Selenium Server from within R. RSelenium provides R bindings for the Selenium Webdriver API. <a href="http://docs.seleniumhq.org/">Selenium</a> is a project focused on automating web browsers. RSelenium allows you to carry out unit testing and regression testing on your webapps and webpages across a range of browser/OS combinations. This allows us to integrate from within R testing and manipulation of popular projects such as <a href="http://www.rstudio.com/shiny/">shiny</a>, <a href="https://saucelabs.com/">sauceLabs</a>.</p> <p>This vignette is divided into six main sections:</p> <ul> <li><a href="#id1">Connecting to a Selenium Server.</a></li> <li><a href="#id2">Navigating using RSelenium.</a></li> <li><a href="#id3">Accessing elements in the DOM.</a></li> <li><a href="#id4">Sending events to elements.</a></li> <li><a href="#id5">Injecting JavaScript.</a></li> <li><a href="#id6">Frames and Windows.</a></li> </ul> <p>Each section will be an introduction to a major idea in Selenium, and point to more detailed explanation in other vignettes.</p> <h2><a id="id1">Connecting to a Selenium Server.</a></h2> <h3>What is a Selenium Server?</h3> <p>Selenium Server is a standalone java program which allows you to run HTML test suites in a range of different browsers, plus extra options like reporting. You may, or may not, need to run a Selenium Server, depending on how you intend to use Selenium-WebDriver (RSelenium). </p> <h3>Do I need to run a Selenium Server?</h3> <p>If you intend to drive a browser on the same machine that RSelenium is running on then you will need to have Selenium Server running on that machine. </p> <h3>How do I get the Selenium Server stand-alone binary?</h3> <p>RSelenium has a built-in function that will download the stand-alone java binary and place it in the RSelenium package location in the <code>/bin/</code> directory. If you would like to install elsewhere the function takes a <code>dir</code> argument and can also update an existing binary. </p> <pre><code>RSelenium::checkForServer() </code></pre> <p>If you would like to download the binary manually it is currently found <a href="http://code.google.com/p/selenium/downloads/list">here</a>. Look for <code>selenium-server-standalone-x.xx.x.jar</code>.</p> <h3>How do I run the Selenium Server?</h3> <p>There is a utility function included in <code>RSelenium</code> to run an existing stand-alone Selenium Server binary. </p> <pre><code>RSelenium::startServer() </code></pre> <p>By default it looks in the <code>RSelenium</code> package <code>/bin/</code> directory. It has an optional <code>dir</code> argument if your binary is elsewhere. Alternatively you can run the binary manually. Open a console in your OS and navigate to where the binary is located and run:</p> <pre><code>java -jar selenium-server-standalone-x.xx.x.jar </code></pre> <p>By default the <code>Selenium Server</code> listens for connections on port 4444.</p> <h3>How do I connect to a running server?</h3> <p><code>RSelenium</code> has a main reference class named <code>remoteDriver</code>. To connect to a server you need to instantiate a new <code>remoteDriver</code> with appropriate options.</p> <pre><code># RSelenium::startServer() if required require(RSelenium) remDr &lt;- remoteDriver(remoteServerAddr = &quot;localhost&quot; , port = 4444 , browserName = &quot;firefox&quot; ) </code></pre> <p>It would have been sufficient to call <code>remDr &lt;- remoteDriver()</code> but the options where explicitly listed to show how one may connect to an arbitrary ip/port/browser etc. More detail maybe found on the <code>sauceLabs</code> vignette. To connect to the server use the <code>open</code> method.</p> <pre><code>remDr$open() </code></pre> <p>RSelenium should now have a connection to the Selenium Server. You can query the status of the remote Server using the <code>status</code> method.</p> <pre><code>&gt; remDr$getStatus() $os arch name version &quot;amd64&quot; &quot;Linux&quot; &quot;3.8.0-35-generic&quot; $java version &quot;1.6.0_27&quot; $build revision time version &quot;ff23eac&quot; &quot;2013-12-16 16:11:15&quot; &quot;2.39.0&quot; </code></pre> <h1><a id="id2">Navigating using RSelenium.</a></h1> <h3>Basic Navigation</h3> <p>To start with we navigate to a url.</p> <pre><code>remDr$navigate(&quot;http://www.google.com&quot;) </code></pre> <p>Then we navigate to a second page.</p> <pre><code>remDr$navigate(&quot;http://www.bbc.co.uk&quot;) &gt; remDr$getCurrentUrl() [[1]] [1] &quot;http://www.bbc.co.uk/&quot; </code></pre> <p>We can go backwards and forwards using the methods <code>goBack</code> and <code>goForward</code>.</p> <pre><code>remDr$goBack() &gt; remDr$getCurrentUrl() [[1]] [1] &quot;https://www.google.com/&quot; remDr$goForward() &gt; remDr$getCurrentUrl() [[1]] [1] &quot;http://www.bbc.co.uk/&quot; </code></pre> <p>To refresh the current page you can use the refresh method.</p> <pre><code>remDr$refresh() </code></pre> <h2><a id="id3">Accessing elements in the DOM.</a></h2> <p>The DOM stands for the Document Object Model. It is a cross-platform and language-independent convention for representing and interacting with objects in HTML, XHTML and XML documents. Interacting with the DOM will be very important for us with Selenium and the webDriver provides a number of methods in which to do this. A basic html page is </p> <pre><code>&lt;!DOCTYPE html&gt; &lt;html&gt; &lt;body&gt; &lt;h1&gt;My First Heading&lt;/h1&gt; &lt;p&gt;My first paragraph.&lt;/p&gt; &lt;/body&gt; &lt;/html&gt; </code></pre> <p>The query box on the front page of <code>http://www.google.com</code> has html code <code>input id=&quot;gbqfq&quot; class=&quot;gbqfif&quot;</code> associated with it. The full html associated with the input tag is:</p> <pre><code>&lt;input type=&quot;text&quot; value=&quot;&quot; autocomplete=&quot;off&quot; name=&quot;q&quot; class=&quot;gbqfif&quot; id=&quot;gbqfq&quot; style=&quot;border: medium none; padding: 0px; margin: 0px; height: auto; width: 100%; background: url(&amp;quot;data:image/gif;base64,R0lGODlhAQABAID/AMDAwAAAACH5BAEAAAAALAAAAAABAAEAAAICRAEAOw%3D%3D&amp;quot;) repeat scroll 0% 0% transparent; position: absolute; z-index: 6; left: 0px; outline: medium none;&quot; dir=&quot;ltr&quot; spellcheck=&quot;false&quot;&gt; </code></pre> <h3>Search by id.</h3> <p>To find this element in the DOM a number of methods can be used. We can search by the id.</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(using = &#39;id&#39;, value = &quot;gbqfq&quot;) &gt; webElem$getElementAttribute(&quot;id&quot;) [[1]] [1] &quot;gbqfq&quot; &gt; webElem$getElementAttribute(&quot;class&quot;) [[1]] [1] &quot;gbqfif&quot; </code></pre> <h3>Search by class.</h3> <p>We can also search by class name.</p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;class name&#39;, &quot;gbqfif&quot;) &gt; webElem$getElementAttribute(&quot;class&quot;) [[1]] [1] &quot;gbqfif&quot; &gt; webElem$getElementAttribute(&quot;type&quot;) [[1]] [1] &quot;text&quot; </code></pre> <h3>Search using css-selectors</h3> <p>The class is denoted by <code>.</code> when using css selectors. To search on class using css selectors we would use</p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;css selector&#39;, &quot;input.gbqfif&quot;) </code></pre> <p>and to search on id using css-selectors</p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;css selector&#39;, &quot;input#gbqfq&quot;) </code></pre> <p>A good example of searching using css-selectors is given <a href="http://saucelabs.com/resources/selenium/css-selectors">here</a>.</p> <h3>Search by name</h3> <p>To search using the <code>name</code> if given of the element. Note that ids are unique in a given html page. Names are not necessarily unique. </p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;name&#39;, &quot;q&quot;) &gt; webElem$getElementAttribute(&quot;name&quot;) [[1]] [1] &quot;q&quot; &gt; webElem$getElementAttribute(&quot;id&quot;) [[1]] [1] &quot;gbqfq&quot; </code></pre> <h3>Search using xpath</h3> <p>The final option is to search using xpath. Normally one would use xpath by default when searching. </p> <p>Xpath using id.</p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;xpath&#39;, &quot;//*/input[@id = &#39;gbqfq&#39;]&quot;) </code></pre> <p>Xpath using class.</p> <pre><code>webElem &lt;- remDr$findElement(using = &#39;xpath&#39;, &quot;//*/input[@class = &#39;gbqfif&#39;]&quot;) </code></pre> <h2><a id="id4">Sending events to elements.</a></h2> <p>To illustrate how to interact with elements we will again use the <code>http://www.google.com/ncr</code> as an example.</p> <h3>Sending text to elements</h3> <p>Suppose we would like to search for <code>R cran</code> on google. We would need to find the element for the query box and send the appropriate text to it. We can do this using the <code>sendKeysToElement</code> method for the <code>webElement</code> class.</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(using = &quot;xpath&quot;, &quot;//*/input[@id = &#39;gbqfq&#39;]&quot;) webElem$sendKeysToElement(list(&quot;R Cran&quot;)) </code></pre> <h3>Sending key presses to elements</h3> <p>We should see that the text <code>R Cran</code> has now been entered into the query box. How do we press enter. We can simply send the enter key to query box. The enter key would be denoted as <code>&quot;\uE007&quot;</code>. So we could use:</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(using = &quot;xpath&quot;, &quot;//*/input[@id = &#39;gbqfq&#39;]&quot;) webElem$sendKeysToElement(list(&quot;R Cran&quot;, &quot;\uE007&quot;)) </code></pre> <p>It is not very easy to remember utf8 codes for appropriate keys so a mapping has been provided in <code>RSelenium</code>. ?selkeys&#39; will bring up a help page explaining the mapping. The utf codes given <a href="http://code.google.com/p/selenium/wiki/JsonWireProtocol#/session/:sessionId/element/:id/value">here</a> have been mapped to easy to remember names. </p> <p>To use <code>selkeys</code> we would send the following</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(using = &quot;xpath&quot;, &quot;//*/input[@id = &#39;gbqfq&#39;]&quot;) webElem$sendKeysToElement(list(&quot;R Cran&quot;, key = &quot;enter&quot;)) </code></pre> <p>Typing <code>selKeys</code> into the console will bring up the list of mappings.</p> <h3>Sending mouse events to elements</h3> <p>For this example we will go back to the google frontpage and search for <code>R Cran</code> then we will click the link for the <code>The Comprehensive R Archive Network</code>.</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(using = &quot;xpath&quot;, &quot;//*/input[@id = &#39;gbqfq&#39;]&quot;) webElem$sendKeysToElement(list(&quot;R Cran&quot;, key = &quot;enter&quot;)) </code></pre> <p><code>&lt;li class=&quot;g&quot;&gt;</code> contains the search results we can find all the search entries on the first page using the <code>findElements</code> method. The header for each link is contained further in with a <code>&lt;h3 class = &quot;r&quot;&gt;</code> tag. We will access the <code>h3</code> headers first. It will be succinct to find these elements using <code>css selectors</code>.</p> <pre><code>webElems &lt;- remDr$findElements(using = &#39;css selector&#39;, &quot;li.g h3.r&quot;) resHeaders &lt;- unlist(lapply(webElems, function(x){x$getElementText()})) &gt; resHeaders [1] &quot;The Comprehensive R Archive Network&quot; [2] &quot;Comprehensive R Archive&quot; [3] &quot;Mirrors&quot; [4] &quot;Contributed Packages&quot; [5] &quot;R for Mac OS X&quot; [6] &quot;Download R 3.0.2&quot; [7] &quot;CRAN Repository Policy&quot; [8] &quot;The R Project for Statistical Computing&quot; [9] &quot;Cran - Wikipedia, the free encyclopedia&quot; [10] &quot;Comprehensive R Archive Network (CRAN) - StatLib - Carnegie&quot; [11] &quot;CRAN - Package R.methodsS3&quot; [12] &quot;CRAN - Package R.cache&quot; [13] &quot;Ubuntu – Details of package r-cran-sp in lucid&quot; </code></pre> <p>We can see that the first link is the one we want but in case googles search results change we refer to it as </p> <pre><code>webElem &lt;- webElems[[which(resHeaders == &quot;The Comprehensive R Archive Network&quot;)]] </code></pre> <p>How do we click the link. We can use the <code>clickElement</code> method:</p> <pre><code>webElem$clickElement() &gt; remDr$getCurrentUrl() [[1]] [1] &quot;http://cran.r-project.org/&quot; &gt; remDr$getTitle() [[1]] [1] &quot;The Comprehensive R Archive Network&quot; </code></pre> <h2><a id="id5">Injecting JavaScript</a></h2> <p>Sometimes it is necessary to interact with the current url using JavaScript. This maybe necessary to call bespoke methods or to have more control over the page for example by adding the <code>JQuery</code> library to the page if it is missing. <code>Selenium</code> has two methods we can use to execute JavaScript namely <code>executeScript</code> and <code>executeAsyncScript</code> from the <code>remoteDriver</code> class. We return to the google front page to investigate these methods.</p> <h3>Injecting JavaScript synchronously</h3> <p>Returning to the google homepage we can find the element for the <code>google</code> image. The image has <code>id = &quot;hplogo&quot;</code> and we can use this in an xpath or search by id etc to select the element. In this case we use <code>css selectors</code>:</p> <pre><code>remDr$navigate(&quot;http://www.google.com/ncr&quot;) webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;img#hplogo&quot;) </code></pre> <p>Is the image visible? Clearly it is but we can check using javascript. </p> <pre><code>&gt; remDr$executeScript(&quot;return document.getElementById(&#39;hplogo&#39;).hidden;&quot;, args = list()) [[1]] [1] FALSE </code></pre> <p>Great so the image is not hidden indicated by the <code>FALSE</code>. We can hide it executing some simple JavaScript.</p> <pre><code>remDr$executeScript(&quot;document.getElementById(&#39;hplogo&#39;).hidden = true;&quot;, args = list()) &gt; remDr$executeScript(&quot;return document.getElementById(&#39;hplogo&#39;).hidden;&quot;, args = list()) [[1]] [1] TRUE </code></pre> <p>So now the image is hidden. We used an element here given by <code>id = &quot;hplogo&quot;</code>. We had to use the JavaScript function <code>getElementById</code> to access it. It would be nicer if we could have used <code>webElem</code> which we had specified earlier. If we pass a webElement object as an argument to either <code>executeScript</code> or <code>executeAsyncScript</code> <code>RSelenium</code> will pass it in an appropriate fashion.</p> <pre><code>&gt; remDr$executeScript(script = &quot;return arguments[0].hidden = false;&quot;, args = list(webElem)) [[1]] [1] FALSE </code></pre> <p>Notive how we passed the web element to the method <code>executeScript</code>. The script argument defines the script to execute in the form of a function body. The value returned by that function will be returned to the client. The function will be invoked with the provided args. If the function returns an element then this will be returned as an object of class webElement:</p> <pre><code>test &lt;- remDr$executeScript(&quot;return document.getElementById(&#39;gbqfq&#39;);&quot;, args = list()) &gt; test[[1]] [1] &quot;remoteDriver fields&quot; $remoteServerAddr [1] &quot;localhost&quot; $port [1] 4444 $browserName [1] &quot;firefox&quot; $version [1] &quot;&quot; $platform [1] &quot;ANY&quot; $javascript [1] TRUE $autoClose [1] FALSE $nativeEvents [1] TRUE $extraCapabilities list() [1] &quot;webElement fields&quot; $elementId [1] 1 &gt; class(test[[1]]) [1] &quot;webElement&quot; attr(,&quot;package&quot;) [1] &quot;RSelenium&quot; </code></pre> <h3>Injecting JavaScript asynchronously</h3> <p>I will briefly touch on asynch versus sync calls here. With the current firefox and selenium server combination (firefox 26.0 sel server 2.39.0) I had issues with async javascript calls when <code>nativeEvents = TRUE</code> (the default) was used. </p> <p>For the example below I switched to <code>nativeEvents = FALSE</code></p> <pre><code> remDr &lt;- remoteDriver(nativeEvents = FALSE) remDr$open() remDr$navigate(&quot;http://www.google.com/ncr&quot;) remDr$setAsyncScriptTimeout(10000) </code></pre> <p>Observe:</p> <pre><code>remDr$executeAsyncScript(&quot;setTimeout(function(){ alert(&#39;Hello&#39;); arguments[arguments.length -1](&#39;DONE&#39;);},5000); &quot;, args = list()) </code></pre> <p>versus</p> <pre><code>remDr$executeScript(&quot;setTimeout(function(){ alert(&#39;Hello&#39;);},5000); return &#39;DONE&#39;;&quot;, args = list()) </code></pre> <p>The async version waits until the callback (defined as the last argument) is called.</p> <h2><a id="id6">Frames and Windows.</a></h2> <p>In the context of a web browser, a frame is a part of a web page or browser window which displays content independent of its container, with the ability to load content independently.</p> <h3>Frames in Selenium</h3> <p>We will demonstrate interacting with frames by way of example. The <a href="http://www.r-project.org/">R project</a> conviently contains frames so we shall use <code>RSelenium</code> to interact with it. Assume we have a remoteDriver opened.</p> <pre><code>remDr$navigate(&quot;http://www.r-project.org/&quot;) &gt; htmlParse(remDr$getPageSource()[[1]]) &lt;!DOCTYPE html PUBLIC &quot;-//W3C//DTD HTML 4.01 Transitional//EN&quot;&gt; &lt;html xmlns=&quot;http://www.w3.org/1999/xhtml&quot;&gt; &lt;head&gt; &lt;title&gt;The R Project for Statistical Computing&lt;/title&gt; &lt;link type=&quot;image/x-icon&quot; href=&quot;favicon.ico&quot; rel=&quot;icon&quot;&gt; &lt;link type=&quot;image/x-icon&quot; href=&quot;favicon.ico&quot; rel=&quot;shortcut icon&quot;&gt; &lt;link href=&quot;R.css&quot; type=&quot;text/css&quot; rel=&quot;stylesheet&quot;&gt; &lt;/head&gt; &lt;frameset border=&quot;0&quot; cols=&quot;1*, 4*&quot;&gt; &lt;frameset rows=&quot;120, 1*&quot;&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;logo&quot; src=&quot;logo.html&quot;&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;contents&quot; src=&quot;navbar.html&quot;&gt; &lt;/frameset&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;banner&quot; src=&quot;main.shtml&quot;&gt; &lt;noframes&gt; &amp;lt;h1&amp;gt;The R Project for Statistical Computing&amp;lt;/h1&amp;gt; Your browser seems not to support frames, here is the &amp;lt;A href=&quot;navbar.html&quot;&amp;gt;contents page&amp;lt;/A&amp;gt; of the R Project&#39;s website. &lt;/noframes&gt; &lt;/frameset&gt; &lt;/html&gt; </code></pre> <p>We can see the content is contained in three frames and we dont appear to have access to the content within a frame. Put in the browser we see all the content:</p> <pre><code>remDr$maxWindowSize() remDr$screenshot(display = TRUE) </code></pre> <h6 align = center>RProject front page</h6> <p><img src="data:image/png;base64,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" title = "RProject front page on linux firefox 26.0"/></p> <p>To access the content we have to switch to a frame using the <code>switchToFrame</code> method of the <code>remoteDriver</code> class. </p> <pre><code>webElems &lt;- remDr$findElements(using = &quot;tag name&quot;, &quot;frame&quot;) # webElems &lt;- remDr$findElements(&quot;//frame&quot;) # using xpath &gt; sapply(webElems, function(x){x$getElementAttribute(&quot;src&quot;)}) [[1]] [1] &quot;http://www.r-project.org/logo.html&quot; [[2]] [1] &quot;http://www.r-project.org/navbar.html&quot; [[3]] [1] &quot;http://www.r-project.org/main.shtml&quot; remDr$switchToFrame(webElems[[2]]) &gt; htmlParse(remDr$getPageSource()[[1]]) &lt;!DOCTYPE html PUBLIC &quot;-//W3C//DTD HTML 4.01 Transitional//EN&quot;&gt; &lt;html xmlns=&quot;http://www.w3.org/1999/xhtml&quot;&gt; &lt;head&gt; &lt;title&gt;R Contents&lt;/title&gt; &lt;link href=&quot;R.css&quot; type=&quot;text/css&quot; rel=&quot;stylesheet&quot;&gt; &lt;/head&gt; &lt;body&gt; &lt;em class=&quot;navigation&quot;&gt;About R&lt;/em&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;about.html&quot;&gt;What is R?&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;contributors.html&quot;&gt;Contributors&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;screenshots/screenshots.html&quot;&gt;Screenshots&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;news.html&quot;&gt;What&#39;s new?&lt;/a&gt;&lt;br&gt;&lt;p&gt; &lt;em class=&quot;navigation&quot;&gt;Download, Packages&lt;/em&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;http://cran.r-project.org/mirrors.html&quot;&gt;CRAN&lt;/a&gt; &lt;/p&gt; &lt;p&gt; &lt;em class=&quot;navigation&quot;&gt;R Project&lt;/em&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;foundation/main.html&quot;&gt;Foundation&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;foundation/memberlist.html&quot;&gt;Members &amp;amp; Donors&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;mail.html&quot;&gt;Mailing Lists&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;_top&quot; href=&quot;http://bugs.R-project.org&quot;&gt;Bug Tracking&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;_top&quot; href=&quot;http://developer.R-project.org&quot;&gt;Developer Page&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;conferences.html&quot;&gt;Conferences&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;search.html&quot;&gt;Search&lt;/a&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt; &lt;em class=&quot;navigation&quot;&gt;Documentation&lt;/em&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;http://cran.r-project.org/manuals.html&quot;&gt;Manuals&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;http://cran.r-project.org/faqs.html&quot;&gt;FAQs&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;_top&quot; href=&quot;http://journal.r-project.org&quot;&gt;The R Journal&lt;/a&gt;&lt;br&gt;&lt;!-- &lt;a href=&quot;doc/Rnews/index.html&quot; target=&quot;banner&quot;&gt;Newsletter&lt;/a&gt;&lt;br&gt; --&gt;&lt;a target=&quot;_top&quot; href=&quot;http://wiki.r-project.org&quot;&gt;Wiki&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;doc/bib/R-books.html&quot;&gt;Books&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;certification.html&quot;&gt;Certification&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;other-docs.html&quot;&gt;Other&lt;/a&gt;&lt;br&gt;&lt;/p&gt; &lt;p&gt; &lt;em class=&quot;navigation&quot;&gt;Misc&lt;/em&gt;&lt;br&gt;&lt;a target=&quot;_top&quot; href=&quot;http://www.bioconductor.org&quot;&gt;Bioconductor&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;other-projects.html&quot;&gt;Related Projects&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;_top&quot; href=&quot;http://rwiki.sciviews.org/doku.php?id=rugs:r_user_groups&quot;&gt;User Groups&lt;/a&gt;&lt;br&gt;&lt;a target=&quot;banner&quot; href=&quot;links.html&quot;&gt;Links&lt;/a&gt;&lt;br&gt;&lt;/p&gt; &lt;/body&gt; &lt;/html&gt; </code></pre> <p>Now we see the source code of the navigation sidePanel. Notice how we used a webElement in the method <code>switchToFrame</code>. To further demonstrate we are now &ldquo;in&rdquo; this frame lets get all the <code>href</code> attributes:</p> <pre><code>webElems &lt;- remDr$findElements(&quot;css selector&quot;, &quot;[href]&quot;) sapply(webElems, function(x){x$getElementAttributes(&quot;href&quot;)}) &gt; unlist(sapply(webElems, function(x){x$getElementAttribute(&quot;href&quot;)})) [1] &quot;http://www.r-project.org/R.css&quot; [2] &quot;http://www.r-project.org/about.html&quot; [3] &quot;http://www.r-project.org/contributors.html&quot; [4] &quot;http://www.r-project.org/screenshots/screenshots.html&quot; [5] &quot;http://www.r-project.org/news.html&quot; [6] &quot;http://cran.r-project.org/mirrors.html&quot; [7] &quot;http://www.r-project.org/foundation/main.html&quot; [8] &quot;http://www.r-project.org/foundation/memberlist.html&quot; [9] &quot;http://www.r-project.org/mail.html&quot; [10] &quot;http://bugs.r-project.org/&quot; [11] &quot;http://developer.r-project.org/&quot; [12] &quot;http://www.r-project.org/conferences.html&quot; [13] &quot;http://www.r-project.org/search.html&quot; [14] &quot;http://cran.r-project.org/manuals.html&quot; [15] &quot;http://cran.r-project.org/faqs.html&quot; [16] &quot;http://journal.r-project.org/&quot; [17] &quot;http://wiki.r-project.org/&quot; [18] &quot;http://www.r-project.org/doc/bib/R-books.html&quot; [19] &quot;http://www.r-project.org/certification.html&quot; [20] &quot;http://www.r-project.org/other-docs.html&quot; [21] &quot;http://www.bioconductor.org/&quot; [22] &quot;http://www.r-project.org/other-projects.html&quot; [23] &quot;http://rwiki.sciviews.org/doku.php?id=rugs:r_user_groups&quot; [24] &quot;http://www.r-project.org/links.html&quot; </code></pre> <p>Notice if we pass a <code>NULL</code> value to the method <code>switchToFrame</code> we move back to the default view.</p> <pre><code>remDr$switchToFrame(NULL) &gt; htmlParse(remDr$getPageSource()[[1]]) &lt;!DOCTYPE html PUBLIC &quot;-//W3C//DTD HTML 4.01 Transitional//EN&quot;&gt; &lt;html xmlns=&quot;http://www.w3.org/1999/xhtml&quot;&gt; &lt;head&gt; &lt;title&gt;The R Project for Statistical Computing&lt;/title&gt; &lt;link type=&quot;image/x-icon&quot; href=&quot;favicon.ico&quot; rel=&quot;icon&quot;&gt; &lt;link type=&quot;image/x-icon&quot; href=&quot;favicon.ico&quot; rel=&quot;shortcut icon&quot;&gt; &lt;link href=&quot;R.css&quot; type=&quot;text/css&quot; rel=&quot;stylesheet&quot;&gt; &lt;/head&gt; &lt;frameset border=&quot;0&quot; cols=&quot;1*, 4*&quot;&gt; &lt;frameset rows=&quot;120, 1*&quot;&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;logo&quot; src=&quot;logo.html&quot;&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;contents&quot; src=&quot;navbar.html&quot;&gt; &lt;/frameset&gt; &lt;frame frameborder=&quot;0&quot; name=&quot;banner&quot; src=&quot;main.shtml&quot;&gt; &lt;noframes&gt; &amp;lt;h1&amp;gt;The R Project for Statistical Computing&amp;lt;/h1&amp;gt; Your browser seems not to support frames, here is the &amp;lt;A href=&quot;navbar.html&quot;&amp;gt;contents page&amp;lt;/A&amp;gt; of the R Project&#39;s website. &lt;/noframes&gt; &lt;/frameset&gt; &lt;/html&gt; </code></pre> <p>Finally we can switch to the main panel using a name</p> <pre><code>remDr$switchToFrame(&quot;banner&quot;) &gt; htmlParse(remDr$getPageSource()[[1]]) &lt;!DOCTYPE html PUBLIC &quot;-//W3C//DTD HTML 4.01 Transitional//EN&quot;&gt; &lt;html xmlns=&quot;http://www.w3.org/1999/xhtml&quot;&gt; &lt;head&gt; &lt;title&gt;The R Project for Statistical Computing&lt;/title&gt; &lt;link href=&quot;R.css&quot; type=&quot;text/css&quot; rel=&quot;stylesheet&quot;&gt; &lt;/head&gt; &lt;body&gt; &lt;h1 align=&quot;left&quot;&gt;The R Project for Statistical Computing&lt;/h1&gt; &lt;p&gt; &lt;/p&gt; &lt;center&gt; &lt;a href=&quot;misc/acpclust.R&quot;&gt;&lt;img border=&quot;0&quot; alt=&quot;R Graphics Demo&quot; src=&quot;hpgraphic.png&quot;&gt;&lt;/a&gt; &lt;/center&gt; &lt;p&gt; &lt;/p&gt; &lt;table width=&quot;100%&quot; border=&quot;1&quot;&gt;&lt;tbody&gt; &lt;tr&gt;&lt;td&gt; &lt;h2&gt;Getting Started:&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To &lt;strong&gt;&lt;a href=&quot;http://cran.r-project.org/mirrors.html&quot;&gt;download R&lt;/a&gt;&lt;/strong&gt;, please choose your preferred &lt;a href=&quot;http://cran.r-project.org/mirrors.html&quot;&gt;CRAN mirror&lt;/a&gt;. &lt;/li&gt; &lt;li&gt; If you have questions about R like how to download and install the software, or what the license terms are, please read our &lt;a href=&quot;http://cran.R-project.org/faqs.html&quot;&gt;answers to frequently asked questions&lt;/a&gt; before you send an email. &lt;/li&gt; &lt;p&gt; &lt;/p&gt; &lt;/ul&gt; &lt;/td&gt;&lt;/tr&gt; &lt;tr&gt;&lt;td&gt; &lt;h2&gt;News:&lt;/h2&gt; &lt;ul&gt; &lt;li&gt; &lt;strong&gt;R version 3.0.2&lt;/strong&gt; (Frisbee Sailing) has been released on 2013-09-25.&lt;/li&gt; &lt;li&gt; &lt;strong&gt;&lt;a href=&quot;http://www.r-project.org/useR-2013&quot; target=&quot;_top&quot;&gt; useR! 2013&lt;/a&gt;&lt;/strong&gt;, took place at the University of Castilla-La Mancha, Albacete, Spain, July 10-12 2013. &lt;/li&gt; &lt;li&gt; &lt;a target=&quot;_top&quot; href=&quot;http://journal.r-project.org/current.html&quot;&gt; &lt;strong&gt;The R Journal Vol.5/1&lt;/strong&gt;&lt;/a&gt; is available. &lt;/li&gt; &lt;li&gt; &lt;strong&gt;R version 2.15.3&lt;/strong&gt; (Security Blanket) has been released on 2013-03-01.&lt;/li&gt; &lt;!-- Dead stuff, for later reuse: &lt;li&gt; &lt;strong&gt;&lt;a href=&quot;http://cran.R-project.org/src/base-prerelease&quot;&gt; R 3.0.2 (Frisbee Sailing) prerelease versions&lt;/a&gt;&lt;/strong&gt; will appear starting September 15. Final release is scheduled for September 25, 2013.&lt;br&gt; Thanks to Erin Hodgess for the idea leading to the name. &lt;/li&gt; &lt;li&gt; &lt;strong&gt;&lt;a href=&quot;http://cran.R-project.org/src/base-prerelease&quot;&gt; R 3.0.1 prerelease versions&lt;/a&gt;&lt;/strong&gt; will appear starting May 6. Final release is scheduled for May 16, 2013.&lt;br&gt; &lt;/li&gt; &lt;li&gt; The R Foundation as been awarded &lt;a href=&quot;soc11/index.html&quot;&gt; fifteen slots for R projects&lt;/a&gt; in the &lt;a href=&quot;http://code.google.com/soc/&quot; target=&quot;_top&quot;&gt;Google Summer of Code 2011&lt;/a&gt;. &lt;li&gt; &lt;strong&gt;&lt;a target=&quot;_top&quot; href=&quot;http://www.r-project.org/dsc-2009&quot;&gt; DSC 2009&lt;/a&gt;&lt;/strong&gt;, The 6th workshop on Directions in Statistical Computing, has been held at the Center for Health and Society, University of Copenhagen, Denmark, July 13-14, 2009. &lt;/li&gt; &lt;li&gt; &lt;strong&gt;&lt;a target=&quot;_top&quot; href=&quot;http://www.agrocampus-rennes.fr/math/useR-2009/&quot;&gt; useR! 2009&lt;/a&gt;&lt;/strong&gt;, the R user conference, has been be held at Agrocampus Rennes, France, July 8-10, 2009. &lt;li&gt; The R Foundation as been awarded &lt;a href=&quot;soc09/index.html&quot;&gt; four slots for R projects&lt;/a&gt; in the &lt;a href=&quot;http://socghop.appspot.com/org/home/google/gsoc2009/rf&quot; target=&quot;_top&quot;&gt;Google Summer of Code 2009&lt;/a&gt;. &lt;li&gt;We have started to collect ideas for the &lt;a href=&quot;http://www.r-project.org/soc09&quot;&gt;Google Summer of Code 2009&lt;/a&gt;. &lt;/li&gt; --&gt; &lt;/ul&gt; &lt;p&gt; &lt;/p&gt; &lt;/td&gt;&lt;/tr&gt; &lt;/tbody&gt;&lt;/table&gt; &lt;p&gt; This server is hosted by the &lt;a target=&quot;_top&quot; href=&quot;http://statmath.wu.ac.at&quot;&gt;Institute for Statistics and Mathematics&lt;/a&gt; of &lt;a target=&quot;_top&quot; href=&quot;http://www.wu.ac.at&quot;&gt;WU (Wirtschaftsuniversität Wien)&lt;/a&gt;. &lt;/p&gt; &lt;/body&gt; &lt;/html&gt; </code></pre> <h3>Windows in Selenium</h3> <p>The easiest way to illustrate Windows in RSelenium is again by way of example. We will use the R project website. First we select the <code>download R</code> element in the main frame. </p> <pre><code>remDr$navigate(&quot;http://www.r-project.org&quot;) remDr$switchToFrame(&quot;banner&quot;) webElem &lt;- remDr$findElement(&quot;partial link text&quot;, &quot;download R&quot;) &gt; webElem$getElementText() [[1]] [1] &quot;download R&quot; </code></pre> <p>We now send a selection of key presses to this element to open the link it points to in a new window. If you did it manually you would move the mouse to the element right click on the link press the down arrow key twice then press enter. We will do the same</p> <pre><code>loc &lt;- webElem$getElementLocation() &gt; loc[c(&#39;x&#39;,&#39;y&#39;)] $x [1] 347 $y [1] 519 remDr$mouseMoveToLocation(webElement = webElem) # move mouse to the element we selected remDr$click(2) # 2 indicates click the right mouse button remDr$sendKeysToActiveElement(list(key = &#39;down_arrow&#39;, key = &#39;down_arrow&#39;, key = &#39;enter&#39;)) </code></pre> <p>Notice now that a new windows has opened on the remote browser.</p> <pre><code>&gt; remDr$getCurrentWindowHandle() [[1]] [1] &quot;{573d17e5-b95a-41b9-a65f-04092b6a804b}&quot; &gt; remDr$getWindowHandles() [[1]] [1] &quot;{573d17e5-b95a-41b9-a65f-04092b6a804b}&quot; &quot;{3336c9b3-4c46-4a95-853e-2786a529ba29}&quot; &gt; remDr$getTitle() [[1]] [1] &quot;The R Project for Statistical Computing&quot; &gt; &gt; remDr$switchToWindow(&quot;{3336c9b3-4c46-4a95-853e-2786a529ba29}&quot;) &gt; remDr$getTitle() [[1]] [1] &quot;CRAN - Mirrors&quot; </code></pre> <p>So using the code above one can observe how to switch between different windows on the remote browser. </p> <p>