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When presented separately by treatment group, CDF plots illustrate the separation between groups at each threshold of change.
Public reactions incorporate cultural factors such as the degree of separation between groups, strength of institutions over space, time and social roles, and society's tolerance for uncertainty and ambiguity.
In AUC, there is no clear separation between groups or individual fingerprints as can be expected from Figure 4.
Taken together, these results imply that linear separation between groups can be achieved with very limited numbers of variables.
OPLS-DA, which is a supervised method, has been shown to be helpful in determining and increasing the separation between groups of observations (Wishart 2008).
By increasing the relative importance of the classifier, apparently excellent separation between groups can be obtained but this is not always meaningful.
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For strawberry, the PC2 did not show a clear separation between group 5 and 6 (Figure 4C).
A separation between group means was evident as early as Week 1 and this gap widened by Week 2, at which time likely responders had a 32-point improvement, 4 times that seen in likely non-responders.
Nevertheless, groups of scores were assessed and natural separations between groups became apparent.
The magnitudes of the vector elements can be plotted as series of peaks, the heights of which indicate the relative contribution of each band to the successive separations between groups.
However, it is important to note that in many cases these differences are of relatively small magnitude, as demonstrated by inclusion of 95% confidence intervals demonstrating small separations between groups on many variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com