<div class="calibre2"><span class="calibre3"><span class="calibre4">Plots</span></span></div>
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<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">
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<div class="calibre20"><span class="calibre7"><span class="calibre8">Example: Correlation Plot</span></span></div>
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<div class="calibre20"><img src="25b1.PNG" border="0" alt="graphic" class="calibre37"/></div>
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<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"/>
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