Řešení cvičení 2.2

Simulovaná data - DCA, PCA, CA

DCA

Analysis 'Unconstrained'
Method: DCA
Total variation is 5.97172

Summary Table:
Statistic				Axis 1	Axis 2	Axis 3	Axis 4
Eigenvalues				0.7818	0.0766	0.0570	0.0468
Explained variation (cumulative)	13.09	14.37	15.33	16.11
Gradient length				6.70	1.87	1.62	1.47

PCA

Analysis 'Unconstrained'
Method: PCA
Total variation is 16276.722

Summary Table:
Statistic				Axis 1	Axis 2	Axis 3	Axis 4
Eigenvalues				0.2068	0.1313	0.0498	0.0282
Explained variation (cumulative)	20.68	33.81	38.79	41.61

Artefakt: podkova (horse-shoe)

CA

Analysis 'Unconstrained'
Method: CA
Total variation is 5.97172

Summary Table:
Statistic				Axis 1	Axis 2	Axis 3	Axis 4
Eigenvalues				0.7818	0.4811	0.2790	0.1698
Explained variation (cumulative)	13.09	21.15	25.82	28.67

Artefakt: oblouk (arch effect)