Comparing Two-Part, Two-Proportions, Wilcoxon Tests


The following table documents under which conditions results for each of the comparative tests will be obtained.

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The following plot and chart demonstrate how to decide which of the three tests (Proportion, Wilcoxon, Two-Part) holds the most power for an individual dataset. For more information on how this plot was created, please view the Explicet tutorial.

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The points farthest from the origin are labeled. The names in black were identified as significant; the points with grey text were not statistically significant. The two greyed out quadrants are situations in which the Two-Part test has power to identify significant differences (where the component statistics lose power due to the inverse relationship between proportion and relative abundance average out). While Finegoldia has a large change in relative abundance this is due to detection at ~41% relative abundance in a single umbilicus library. These data can be simplified by excluding taxa not present in a majority of libraries from either group. This graphic was generated by exporting the Two-Part test statistic data from Explicet and processing in Microsoft Excel.


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