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Figure S4: Contribution of Spot Trait Variables to Principal Components Analysis First and Second Dimensions
doi 10.7717/peerj.5690/supp-6
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Figure 1: Principal Components (90 Observations, 20 Variables): First Three Principal Components Explains 54.3% of Total Variance.
Figure 11: Two-Dimensional Free Energy Landscape of the First and Second Principal Components Calculated From GaMD Simulations.
Figure 3: First and Second Components of Principal Coordinate Analysis of 12 Microsatellite Loci in the Two Regional Populations of the Amur Leopard Cat.
Figure S4: Stress Plots Against Number of Dimensions to Analyze Ordinations
Principal Components Regression by Using Generalized Principal Components Analysis
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Figure 10: Discriminant Analysis of Theropod Teeth Using Reconstructed Crown Height forAustralovenator, and Showing First Two Principal Components.
Table S2: Pearson Correlation Coefficients Among Giraffe Spot Trait Variables
Figure 4: Assignment Plot From Discriminant Analysis of Principal Components (DAPC).
Table S2: Environmental Variables and Loadings on the First Two Principal Components (PC1 and PC2) Based on a Principal Component Analysis. Bold Text Indicates the Variables Used as Input for Maxent Modelling
