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Table 6: One-Sample Student’s T-Test Output of the Residuals of Feather Growth Rate (FGR) of Each Studied Species Predicted by the Optimized Phylogenetic Generalized Least Squares (PGLS) Model.
doi 10.7717/peerj.7807/table-6
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Figure 3: Predicted Feather Growth Rates (FGR) and Their Residuals Based on the Optimized Phylogenetic Generalized Least Squares (PGLS) Model for Individual Storm-Petrels.
Table 3: Phylogenetic Generalized Least Squares (PGLS) Models for Feather Growth Rate (FGR) Based on Feather Length (FL).
Table S2: Phylogenetic Generalized Least Squares (PGLS) Models for Feather Growth Rate (FGR) Based on Feather Length (FL) Per Feather Type
Table 5: Results of Non-Parametric Post-Hoc Dunn Test for the Residuals of the Storm-Petrel Species From the Optimized Pylogenetic Generalized Least Squares (PGLS) Model.
Table 2: Spearmans Rank Correlation Output for Correlations Between Feather Growth Rate (FGR) and Feather Length (FL) for Each Studied Species.
Table 4: AIC and ΔAIC Values of Phylogenetic Generalized Least Squares (PGLS) Models.
Table 1: Results of the Post-Hoc Dunn Test for Inter-Specific Differences in Feather Length (FL) and Feather Growth Rate (FGR) for Each Studied Species.
Table S1: Data Used for the Literature Based Phylogenetic Generalized Least Squares (PGLS) Model With Pagel’s Λ .
Figure 1: Correlation Between Feather Growth Rate (FGR) and Feather Length (FL) for All Four Studied Storm-Petrel Species.
