Table 11: Results of the Principal Components Analysis (PCA) with 4 variables ------------------------------------------------------------------------------Eigenvector env 1 2 3 4 Current -0.5695 -0.3382 0.4922 0.5648 Height10 -0.1833 -0.8190 -0.4783 -0.2585 Salinity -0.4751 0.3973 -0.6953 0.3647 Temp -0.6453 0.2387 0.2135 -0.6936 ---------------------------------------------------------------------------VARIANCE EXTRACTED, FIRST 4 AXES --------------------------------------------------------------Broken-stick AXIS Eigenvalue % of Variance Cum.% of Var. Eigenvalue --------------------------------------------------------------1 1.365 34.126 34.126 2.083 2 1.047 26.171 60.298 1.083 3 0.900 22.503 82.801 0.583 4 0.688 17.199 100.000 0.250 RANDOMIZATION RESULTS 999 = number of randomizations ------------------------------------------------------------------------Eigenvalue Eigenvalues from randomizations from ---------------------------------------Axis real data Minimum Average Maximum p * 1 1.3651 1.0246 1.0906 1.2031 0.001000 2 1.0469 0.97291 1.0249 1.1007 0.132000 3 0.90011 0.89359 0.97375 1.0325 0.998000 4 0.68798 0.82225 0.91074 0.97800 1.000000 ------------------------------------------------------------------------* p-value for an axis is (n+1)/(N+1), where n is the number of randomizations with an eigenvalue for that axis that is equal to or larger than the observed eigenvalue for that axis. N is the total number of randomizations.
Grays Harbor Juvenile Fish Use Assessment, 2011
Wild Fish Conservancy
Page 79