Ba Dtw Cluster Boxplot
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 8.465 0.9405 1.334 0.272
## Residuals 24 16.925 0.7052
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = Age ~ Cluster, data = Ba)
##
## $Cluster
## diff lwr upr p adj
## 2-1 1.500000e+00 -2.0746617 5.074662 0.8953322
## 3-1 5.000000e-01 -2.4186991 3.418699 0.9997964
## 4-1 1.600000e+00 -0.8419588 4.041959 0.4368435
## 5-1 1.200000e+00 -1.2419588 3.641959 0.7808102
## 6-1 1.750000e+00 -0.7776675 4.277668 0.3647351
## 7-1 1.750000e+00 -0.7776675 4.277668 0.3647351
## 8-1 1.300000e+00 -1.1419588 3.741959 0.6993200
## 9-1 2.000000e+00 -0.5276675 4.527668 0.2095919
## 10-1 1.250000e+00 -1.6686991 4.168699 0.8838872
## 3-2 -1.000000e+00 -4.5746617 2.574662 0.9913026
## 4-2 1.000000e-01 -3.0972746 3.297275 1.0000000
## 5-2 -3.000000e-01 -3.4972746 2.897275 0.9999988
## 6-2 2.500000e-01 -3.0132048 3.513205 0.9999998
## 7-2 2.500000e-01 -3.0132048 3.513205 0.9999998
## 8-2 -2.000000e-01 -3.3972746 2.997275 1.0000000
## 9-2 5.000000e-01 -2.7632048 3.763205 0.9999189
## 10-2 -2.500000e-01 -3.8246617 3.324662 0.9999999
## 4-3 1.100000e+00 -1.3419588 3.541959 0.8514333
## 5-3 7.000000e-01 -1.7419588 3.141959 0.9896980
## 6-3 1.250000e+00 -1.2776675 3.777668 0.7749339
## 7-3 1.250000e+00 -1.2776675 3.777668 0.7749339
## 8-3 8.000000e-01 -1.6419588 3.241959 0.9749913
## 9-3 1.500000e+00 -1.0276675 4.027668 0.5677429
## 10-3 7.500000e-01 -2.1686991 3.668699 0.9952518
## 5-4 -4.000000e-01 -2.2459474 1.445947 0.9986779
## 6-4 1.500000e-01 -1.8079229 2.107923 0.9999998
## 7-4 1.500000e-01 -1.8079229 2.107923 0.9999998
## 8-4 -3.000000e-01 -2.1459474 1.545947 0.9998679
## 9-4 4.000000e-01 -1.5579229 2.357923 0.9991641
## 10-4 -3.500000e-01 -2.7919588 2.091959 0.9999536
## 6-5 5.500000e-01 -1.4079229 2.507923 0.9910471
## 7-5 5.500000e-01 -1.4079229 2.507923 0.9910471
## 8-5 1.000000e-01 -1.7459474 1.945947 1.0000000
## 9-5 8.000000e-01 -1.1579229 2.757923 0.9089016
## 10-5 5.000000e-02 -2.3919588 2.491959 1.0000000
## 7-6 8.881784e-16 -2.0638319 2.063832 1.0000000
## 8-6 -4.500000e-01 -2.4079229 1.507923 0.9979257
## 9-6 2.500000e-01 -1.8138319 2.313832 0.9999889
## 10-6 -5.000000e-01 -3.0276675 2.027668 0.9993519
## 8-7 -4.500000e-01 -2.4079229 1.507923 0.9979257
## 9-7 2.500000e-01 -1.8138319 2.313832 0.9999889
## 10-7 -5.000000e-01 -3.0276675 2.027668 0.9993519
## 9-8 7.000000e-01 -1.2579229 2.657923 0.9570989
## 10-8 -5.000000e-02 -2.4919588 2.391959 1.0000000
## 10-9 -7.500000e-01 -3.2776675 1.777668 0.9869590
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 11021 1225 0.536 0.834
## Residuals 24 54797 2283
Sr Dtw Cluster Boxplot
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 6.109 0.6788 0.846 0.583
## Residuals 25 20.062 0.8025
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 11021 1225 0.536 0.834
## Residuals 24 54797 2283
Mg Dtw Cluster Boxplot
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 9.536 1.0595 1.604 0.17
## Residuals 24 15.854 0.6606
## Df Sum Sq Mean Sq F value Pr(>F)
## Cluster 9 11021 1225 0.536 0.834
## Residuals 24 54797 2283