Table 1.
PC Score and SVM Generation
Variable | C57 Male | C57 Female | CD1 Male | CD1 Female | C57+CD1 Female | C57+CD1 Male | Both Sexes + Strain |
---|---|---|---|---|---|---|---|
eigenvalues for first PC scores | |||||||
Z paw velocity | 0.57742 | 0.58445 | 0.57431 | 0.59499 | 0.59098 | 0.56893 | 0.58267 |
Z paw height | 0.60582 | 0.56067 | 0.59105 | 0.57074 | 0.56470 | 0.60710 | 0.58039 |
Z pain score | 0.54731 | 0.58656 | 0.56641 | 0.56589 | 0.57605 | 0.55473 | 0.56888 |
fitting datasets for generating and training SVM | |||||||
Fitting datasets | C57(M) - CS,HP | C57(F) - CS,HP | CD1(M) - CS,HP | CD1(F) - CS,HP | na | na | CD1(M), CD1(F), C57(M), C57(F) - CS, HP |
Figure | Figures 4I–4L | Figures 4M–4P | Figures 4A–4D and 5G | Figures 4E–4H | na | na | Figures 6I and 6J |
Eigenvalues for calculating the PC1 scores are shown for each variable in each group of animals. These values were determined using SAS software using Data S2. The data used to generate and train the SVM to make predictions about pain-like probabilities for each group are also shown.