主成分分析_成份分析_主成分分析的主要步骤(5)
输入数据后,用PROC PRINCOMP对数据进行主成份分析,结果先给出了各变量的简单统计量,变量的相关阵,其特征值和特征向量结果如下:
Eigenvalues of the Correlation Matrix Eigenvalue Difference Proportion Cumulative PRIN1 4.11496 2.87624 0.587851 0.58785 PRIN2 1.23872 0.51291 0.176960 0.76481 PRIN3 0.72582 0.40938 0.103688 0.86850 PRIN4 0.31643 0.05846 0.045205 0.91370 PRIN5 0.25797 0.03593 0.036853 0.95056 PRIN6 0.22204 0.09798 0.031720 0.98228 PRIN7 0.12406 . 0.017722 1.00000 Eigenvectors PRIN1 PRIN2 PRIN3 PRIN4 PRIN5 PRIN6 PRIN7 MURDER 0.300279 -.629174 0.178245 -.232114 0.538123 0.259117 0.267593 RAPE 0.431759 -.169435 -.244198 0.062216 0.188471 -.773271 -.296485 ROBBERY 0.396875 0.042247 0.495861 -.557989 -.519977 -.114385 -.003903 ASSAULT 0.396652 -.343528 -.069510 0.629804 -.506651 0.172363 0.191745 BURGLARY 0.440157 0.203341 -.209895 -.057555 0.101033 0.535987 -.648117 LARCENY 0.357360 0.402319 -.539231 -.234890 0.030099 0.039406 0.601690 AUTO 0.295177 0.502421 0.568384 0.419238 0.369753 -.057298 0.147046
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输入数据后,用PROC PRINCOMP对数据进行主成份分析,结果先给出了各变量的简单统计量,变量的相关阵,其特征值和特征向量结果如下: Eigenvalues of the Co
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