Print group_tna Bootstrap Results

Print group_tna Bootstrap Results

Usage

# S3 method for class 'group_tna_bootstrap'
print(x, ...)

Arguments

x

A group_tna_bootstrap object.

...

Arguments passed to print.tna_bootstrap().

Value

x (invisibly).

See also

Validation functions bootstrap(), deprune(), estimate_cs(), permutation_test(), plot.group_tna_stability(), plot.tna_permutation(), plot.tna_stability(), print.group_tna_stability(), print.summary.group_tna_bootstrap(), print.summary.tna_bootstrap(), print.tna_bootstrap(), print.tna_permutation(), print.tna_stability(), prune(), pruning_details(), 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:
#> 
#> Significant Edges
#> 
#>      from         to    weight p_value  ci_lower  ci_upper
#> 1  Active     Active 0.7061503       0 0.6579118 0.7427317
#> 2  Active    Average 0.5133929       0 0.4928067 0.5956769
#> 4 Average     Active 0.2938497       0 0.2572683 0.3420882
#> 5 Average    Average 0.4598214       0 0.3632895 0.4755533
#> 6 Average Disengaged 0.3809524       0 0.3082891 0.4393695
#> 
#> Non-significant Edges
#> 
#>         from         to     weight p_value   ci_lower   ci_upper
#> 3     Active Disengaged 0.33333333     0.3 0.23636364 0.46085526
#> 8 Disengaged    Average 0.02678571     0.5 0.01460828 0.04532297
#> 9 Disengaged Disengaged 0.28571429     0.3 0.21940789 0.38534483
#> 
#> Cluster 2:
#> 
#> Significant Edges
#> 
#>         from      to     weight p_value   ci_lower  ci_upper
#> 1     Active  Active 0.49242424       0 0.44251510 0.5361081
#> 2     Active Average 0.32495164       0 0.28785965 0.3387195
#> 4    Average  Active 0.44191919       0 0.40240580 0.4982961
#> 5    Average Average 0.58607350       0 0.57611194 0.6379991
#> 8 Disengaged Average 0.08897485       0 0.07029145 0.1084775
#> 
#> Non-significant Edges
#> 
#>         from         to     weight p_value   ci_lower   ci_upper
#> 3     Active Disengaged 0.33333333     0.2 0.23470100 0.45095890
#> 6    Average Disengaged 0.57333333     0.1 0.42387290 0.69686047
#> 7 Disengaged     Active 0.06565657     0.1 0.05354415 0.08604968
#> 9 Disengaged Disengaged 0.09333333     0.6 0.06112957 0.15072152
#> 
#> Cluster 3:
#> 
#> Significant Edges
#> 
#>         from         to     weight p_value   ci_lower  ci_upper
#> 1     Active     Active 0.30067568       0 0.26800128 0.3480854
#> 2     Active    Average 0.15940767       0 0.15184945 0.1644986
#> 4    Average     Active 0.60810811       0 0.55703259 0.6417999
#> 5    Average    Average 0.57317073       0 0.55933275 0.5928319
#> 6    Average Disengaged 0.47076023       0 0.45319729 0.5012616
#> 7 Disengaged     Active 0.09121622       0 0.07609533 0.1094881
#> 8 Disengaged    Average 0.26742160       0 0.25252689 0.2828129
#> 9 Disengaged Disengaged 0.46345029       0 0.43323670 0.4820144
#> 
#> Non-significant Edges
#> 
#>     from         to     weight p_value   ci_lower  ci_upper
#> 3 Active Disengaged 0.06578947     0.1 0.04148827 0.0795622