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General linear model and Tukey's test 95% confidence grouping analyses were performed in Minitab 16 statistical software (Minitab Inc., State College, Pennsylvania, USA).
A key advantage of ordering over grouping is that ordering allows for the discovery of gradual progressions in the data while such gradual information is lost in grouping analyses.
Two grouping analyses were done: creating a distance matrix from allelic differences in the modified core set, and a distance matrix based on the genic presence/absence in the modified distributed set.
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Finally, sub-group analyses were considered.
Sub-group analyses were also done.
Results are similar to the whole group analyses.
Post hoc analyses for interactions were performed using the Mann-Whitney test for inter-group analyses and the Wilcoxon tests for intra-group analyses.
Sub-group analyses were performed according to species (PA and Eb) and resistance for Eb.
For group analyses the single subject contrast images were entered into the second level.
Alternatives to race-comparison analysis including within-group and between-group analyses are described.
For the within-group analyses, the participants were compared to 91 CACs and 63 RLCs.
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