Plots

PanelCHECK

<div class="calibre2"><span class="calibre3"><span class="calibre4">Plots</span></span></div> <span class="calibre5"> <a href="24.html">Previous</a> <a href="introduction.html">Top</a> <a href="26.html">Next</a> </span> <hr class="calibre6"/> <title class="calibre1"/> <p class="calibre36"><span class="calibre7"><span class="calibre8">By double-clicking on an item in the control tree a line plot will appear, including all scores for the item and its contents. E.g. double-click on an assessor will include all the replicates for this assessor since replicates is a lower </span></span><span class="calibre7"><span class="calibre8">level to assessors.</span></span></p><div class="calibre2"><span class="calibre7"><span class="calibre8">The toolbar at the bottom of plots gives the possibility to print, save, zoom and panorate axes the figure. Also summary, raw data and numerical results can be accessed.</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Summary</b> is a list of Assessors, Samples, Replicates and Attributes on which the analysis is performed. If anything unchecked, it will not be included in the summary and the analysis.</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Raw data</b> covers like the summary only the Assessor, Samples, Replicates and Attributes that are enabled for analysis. Furthermore, the attribute values are included and arranged as a spreadsheet.</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Numerical Results</b> presents the results of the analysis and is dependent on the plot type. For instance for the </span></span><a href="32.html"><span class="calibre7"><span class="calibre8">Line Plots</span></span></a><span class="calibre7"><span class="calibre8"> the average, minimum, maximum and std. deviation for each attribute are displayed.</span></span></div><div class="calibre2">  </div><table border="1" bordercolor="#ffffff" width="553" cellpadding="3" cellspacing="0" class="calibre16"> <tbody class="calibre17"><tr class="calibre18"> <td valign="top" width="544" class="calibre19"> <div class="calibre20"><span class="calibre7"><span class="calibre8">Example: Correlation Plot</span></span></div> </td></tr> <tr class="calibre18"> <td valign="top" width="544" class="calibre19"> <div class="calibre20"><img src="25b1.PNG" border="0" alt="graphic" class="calibre37"/></div> </td></tr> <tr class="calibre18"> <td valign="top" width="544" class="calibre19"> <div class="calibre20"><a href="1011.html"><span class="calibre3"><span class="calibre4">Large</span></span></a></div> </td></tr></tbody></table><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">Note: In Tucker-1 and consensus plots there are additional buttons on the figure, which controls the number of principal components (PC), and their association with x- and y-axes.</span></span></div><div class="calibre2">  </div><p class="calibre38"/> </div> <div class="calibreEbNav"> <a href="24.html" class="calibreAPrev">previous page</a> <a href="./" class="calibreAHome"> start</a> <a href="26.html" class="calibreANext"> next page</a> </div> </div> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script> <!-- documentation.help --> <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-0545639743190253" data-ad-slot="2889760833" data-ad-format="auto"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </table> </div> </section> <!-- Section <section> <header class="major"> <h2>Ipsum sed dolor</h2> </header> <div class="posts"> <article> <a href="#" class="image"><img src="images/pic01.jpg" alt="" /></a> <h3>Interdum aenean</h3> <p>Aenean ornare velit lacus, ac varius enim lorem ullamcorper dolore. 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