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Table 4

Results from 4-sample backward stepwise DFA (see Fig. 5): (A) Correlations (loadings) of log-transformed input variables with the first two canonical variates (CV); (B) corresponding post hoc classification matrix; (C) jackknifed classification matrix. Variable abbreviations are explained in the Materials and Methods. Significant correlations are based on Bonferroni probabilities: *, <0.05; **, <0.01; ***, <0.001.

Results from 4-sample backward stepwise DFA (see Fig. 5): (A) Correlations (loadings) of log-transformed input variables with the first two canonical variates (CV); (B) corresponding post hoc classification matrix; (C) jackknifed classification matrix. Variable abbreviations are explained in the Materials and Methods. Significant correlations are based on Bonferroni probabilities: *, <0.05; **, <0.01; ***, <0.001.
Results from 4-sample backward stepwise DFA (see Fig. 5): (A) Correlations (loadings) of log-transformed input variables with the first two canonical variates (CV); (B) corresponding post hoc classification matrix; (C) jackknifed classification matrix. Variable abbreviations are explained in the Materials and Methods. Significant correlations are based on Bonferroni probabilities: *, <0.05; **, <0.01; ***, <0.001.
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