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Fig. 1 | BMC Musculoskeletal Disorders

Fig. 1

From: Analysis of change in gait in the ovine stifle: normal, injured, and anterior cruciate ligament reconstructed

Fig. 1

Principal Component Eigenvector Weights – Eigenvector weights are used to calculate the factor loadings that are used in the calculation of the principal component values (PC1 and PC2). Each of the 36 factors will influence the final PC value that will represent each ATC vector. The greater the eigenvector weight, the greater the factor loading value, the more influence that factor will have on the calculation of the principal component. Within this figure, each of the eigenvector weights that represent the 6 gait points within a DOF were averaged to provide a single DOF value. Arrows represent how a positive original variable would load (a negative variable would load in the opposite direction). For example, in calculating the PC values for an animal, if that animal had a positive change from intact in FE, its score for PC1 would be positive (in quadrant III), if that same animal showed a negative change from intact in FE, its PC1 score would be negative in quadrant I

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