<div class="calibre2"><span class="calibre3"><span class="calibre4">p-MSE Plots</span></span></div>
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<div class="calibre2"><span class="calibre7"><span class="calibre8">This function generates p-MSE plots, plotting p- and MSE-values from a one-way ANOVA for
each assessor. MSE values are plotted along the x-axis and the p-values are along the y-
axis. Each point in the plot represents one assessor for a specific attribute.</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">p-values and MSE-values are measures of discrimination and repeatability, respectively. The
closer a point is to the origo (low values for both, p and MSE), the better the assessor has
performed.</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"><br class="calibre10"/></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"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Further reading:</b></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">Oliver Tomic, Asgeir Nilsen, Magni Martens, Tormod Næs, <i class="calibre13">Visualization of sensory profiling
data for performance monitoring</i>, LWT <b class="calibre14">40</b> (2007) 262–269.</span></span></div><div class="calibre2"> </div>
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