Table 2 Principal Component Analysis (PCA) loadings, percentage of variance explained, and cumulative proportion of variance explained by the six principal components
From: An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi
Variable | PC1 | PC2 | PC3 | PC4 | PC5 | PC6 |
|---|---|---|---|---|---|---|
Distance to health facility | − 0.65 | − 0.03 | − 0.05 | − 0.20 | − 0.17 | − 0.71 |
Distance to road | − 0.60 | − 0.09 | 0.19 | − 0.42 | 0.08 | 0.64 |
Distance to river | − 0.10 | − 0.41 | 0.78 | 0.44 | 0.11 | − 0.10 |
Distance to lake | 0.04 | 0.66 | 0.35 | − 0.20 | 0.61 | − 0.18 |
Population | 0.41 | − 0.05 | 0.44 | − 0.64 | − 0.46 | − 0.11 |
Elevation | − 0.18 | 0.63 | 0.20 | 0.37 | − 0.61 | 0.17 |
Standard deviation | 1.30 | 1.11 | 1.00 | 0.92 | 0.89 | 0.68 |
Proportion of variance | 28.00% | 20.50% | 16.50% | 14.10% | 13.30% | 7.70% |
Cumulative proportion | 28.00% | 48.50% | 65.00% | 79.00% | 92.30% | 100.00% |