Amanote Research
Register
Sign In
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.
doi 10.7717/peerj.7807/table-5
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Unknown
Publisher
PeerJ
Related search
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.
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 S1: Data Used for the Literature Based Phylogenetic Generalized Least Squares (PGLS) Model With Pagel’s Λ .
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 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 4: Significant Results of Model Selection for PGLS Analyses.
Spatial Autocorrelation Approaches to Testing Residuals From Least Squares Regression
PLoS ONE
Multidisciplinary
