Statistical Models for Landmark Coordinate Data - An Invariant Approach to Statistical Analysis of Shapes - page 91

Table 3.4b. Mean form matrix for the sagittal synostosis sample ( mm )
1 2 3 4 5 6 7 8

Landmark_1 0.000 82.760 111.923 73.136 111.721 130.384 43.672 101.018

Landmark_2 82.760 0.000 111.997 71.412 131.024 111.483 101.286 44.297

Landmark_3 111.923 111.997 0.000 106.945 67.351 67.123 79.384 78.576

Landmark_4 73.136 71.412 106.945 0.000 145.070 144.103 81.571 78.737

Landmark_5 111.721 131.024 67.351 145.070 0.000 55.929 82.882 112.036

Landmark_6 130.384 111.483 67.123 144.103 55.929 0.000 111.494 83.064

Landmark_7 43.672 101.286 79.384 81.571 82.882 111.494 0.000 100.263

Landmark_8 101.018 44.297 78.576 78.737 112.036 83.064 100.263 0.000

K * , of the sagittal synostosis sample ( mm 2 ) Table 3.4c. Variance-covariance matrix,

1 2 3 4 5 6 7 8

1 126.2355 27.65825 -63.3063 33.3013 -57.8084 -63.69 32.42553 -34.8159

2 27.65825 112.6592 -61.2221 33.54741 -57.5014 -52.5317 -40.4518 37.84221

3 -63.3063 -61.2221 59.42549 -44.2029 59.33071 58.88485 0.52835 -9.43802

4 33.3013 33.54741 -44.2029 78.37691 -90.3996 -88.2266 33.47435 44.12919

5 -57.8084 -57.5014 59.33071 -90.3996 123.0724 119.9785 -43.4827 -53.1895

6 -63.69 -52.5317 58.88485 -88.2266 119.9785 119.5009 -44.6665 -49.2495

7 32.42553 -40.4518 0.52835 33.47435 -43.4827 -44.6665 61.69917 0.47355

8 -34.8159 37.84221 -9.43802 44.12919 -53.1895 -49.2495 0.47355 64.24797