Print group_tna Bootstrap Results
Usage
# S3 method for class 'group_tna_bootstrap'
print(x, ...)Arguments
- x
A
group_tna_bootstrapobject.- ...
Arguments passed to
print.tna_bootstrap().
See also
Validation functions
bootstrap(),
deprune(),
estimate_cs(),
permutation_test(),
permutation_test.group_tna(),
plot.group_tna_bootstrap(),
plot.group_tna_permutation(),
plot.group_tna_stability(),
plot.tna_bootstrap(),
plot.tna_permutation(),
plot.tna_reliability(),
plot.tna_stability(),
print.group_tna_permutation(),
print.group_tna_stability(),
print.summary.group_tna_bootstrap(),
print.summary.tna_bootstrap(),
print.tna_bootstrap(),
print.tna_clustering(),
print.tna_permutation(),
print.tna_reliability(),
print.tna_stability(),
prune(),
pruning_details(),
reliability(),
reprune(),
summary.group_tna_bootstrap(),
summary.tna_bootstrap()
Examples
model <- group_model(engagement_mmm)
# Low number of iteration for CRAN
boot <- bootstrap(model, iter = 10)
print(boot)
#> Cluster 1 :
#> Non-significant Edges
#>
#> from to weight p_value cr_lower cr_upper ci_lower
#> 1 Active Active 0.85985688 0.09090909 0.64489266 1.07482109 0.85576804
#> 2 Average Active 0.31210322 0.09090909 0.23407741 0.39012902 0.30440750
#> 3 Disengaged Active 0.04791061 0.09090909 0.03593296 0.05988826 0.04552843
#> 4 Active Average 0.08919748 0.09090909 0.06689811 0.11149685 0.08745250
#> 5 Average Average 0.54208478 0.09090909 0.40656359 0.67760598 0.53081216
#> 6 Disengaged Average 0.16179397 0.09090909 0.12134548 0.20224246 0.15286293
#> 7 Active Disengaged 0.05094565 0.09090909 0.03820923 0.06368206 0.04897839
#> 8 Average Disengaged 0.14581200 0.09090909 0.10935900 0.18226500 0.13911614
#> 9 Disengaged Disengaged 0.79029542 0.09090909 0.59272157 0.98786928 0.78575837
#> ci_upper
#> 1 0.86256412
#> 2 0.32035972
#> 3 0.05235997
#> 4 0.09283446
#> 5 0.54529180
#> 6 0.16642110
#> 7 0.05272167
#> 8 0.15825506
#> 9 0.79739464
#>
#> Cluster 2 :
#> Non-significant Edges
#>
#> from to weight p_value cr_lower cr_upper ci_lower
#> 1 Active Active 0.84090909 0.09090909 0.63068182 1.0511364 0.81451844
#> 2 Average Active 0.09259259 0.18181818 0.06944444 0.1157407 0.07133067
#> 3 Disengaged Active 0.15555556 0.27272727 0.11666667 0.1944444 0.10250000
#> 4 Active Average 0.15909091 0.09090909 0.11931818 0.1988636 0.14317585
#> 5 Average Average 0.62962963 0.09090909 0.47222222 0.7870370 0.57201835
#> 6 Disengaged Average 0.51111111 0.09090909 0.38333333 0.6388889 0.47491776
#> 8 Average Disengaged 0.27777778 0.09090909 0.20833333 0.3472222 0.23732477
#> 9 Disengaged Disengaged 0.33333333 0.09090909 0.25000000 0.4166667 0.27998670
#> ci_upper
#> 1 0.8568241
#> 2 0.1211759
#> 3 0.1666667
#> 4 0.1854816
#> 5 0.6728228
#> 6 0.5929521
#> 8 0.3077982
#> 9 0.3988158
#>
#> Cluster 3 :
#> Non-significant Edges
#>
#> from to weight p_value cr_lower cr_upper ci_lower
#> 1 Active Active 0.58333333 0.27272727 0.43750000 0.72916667 0.427000000
#> 2 Average Active 0.15277778 0.27272727 0.11458333 0.19097222 0.115063670
#> 4 Active Average 0.12500000 0.63636364 0.09375000 0.15625000 0.039182692
#> 5 Average Average 0.81944444 0.09090909 0.61458333 1.02430556 0.791537267
#> 6 Disengaged Average 0.60000000 0.18181818 0.45000000 0.75000000 0.543541667
#> 7 Active Disengaged 0.29166667 0.18181818 0.21875000 0.36458333 0.232846154
#> 8 Average Disengaged 0.02777778 0.63636364 0.02083333 0.03472222 0.003169014
#> 9 Disengaged Disengaged 0.40000000 0.27272727 0.30000000 0.50000000 0.215000000
#> ci_upper
#> 1 0.72572115
#> 2 0.20409960
#> 4 0.19100000
#> 5 0.83629616
#> 6 0.78500000
#> 7 0.38200000
#> 8 0.05599074
#> 9 0.45645833
#>