Print Permutation Test Results

Print Permutation Test Results

Usage

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

Arguments

x

A group_tna_permutation object.

...

Arguments passed to print.tna_permutation().

Value

x (invisibly).

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_bootstrap(), 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)
# Small number of iterations for CRAN
perm <- permutation_test(model, iter = 20)
print(perm)
#> Cluster 1 vs. Cluster 2 :
#> # A tibble: 9 × 4
#>   edge_name                diff_true effect_size p_value
#>   <chr>                        <dbl>       <dbl>   <dbl>
#> 1 Disengaged -> Disengaged  -0.230       -19.6    0.0476
#> 2 Engaged -> Disengaged     -0.288       -20.3    0.0476
#> 3 Moderate -> Disengaged     0.00235       0.276  0.619 
#> 4 Disengaged -> Engaged      0.0706        6.87   0.0476
#> 5 Engaged -> Engaged        -0.00994      -0.444  0.762 
#> 6 Moderate -> Engaged        0.0706        6.37   0.0476
#> 7 Disengaged -> Moderate     0.160        14.3    0.0476
#> 8 Engaged -> Moderate        0.298        12.1    0.0476
#> 9 Moderate -> Moderate      -0.0730       -5.94   0.0476
#> 
#> Cluster 1 vs. Cluster 3 :
#> # A tibble: 9 × 4
#>   edge_name                diff_true effect_size p_value
#>   <chr>                        <dbl>       <dbl>   <dbl>
#> 1 Disengaged -> Disengaged  -0.195       -16.7    0.0476
#> 2 Engaged -> Disengaged     -0.0422       -7.33   0.0476
#> 3 Moderate -> Disengaged    -0.0609       -5.37   0.0476
#> 4 Disengaged -> Engaged      0.0471        6.13   0.0476
#> 5 Engaged -> Engaged        -0.00360      -0.270  0.905 
#> 6 Moderate -> Engaged       -0.0256       -2.67   0.0476
#> 7 Disengaged -> Moderate     0.147        21.8    0.0476
#> 8 Engaged -> Moderate        0.0458        4.06   0.0476
#> 9 Moderate -> Moderate       0.0864        5.51   0.0476
#> 
#> Cluster 2 vs. Cluster 3 :
#> # A tibble: 9 × 4
#>   edge_name                diff_true effect_size p_value
#>   <chr>                        <dbl>       <dbl>   <dbl>
#> 1 Disengaged -> Disengaged   0.0358        4.43   0.0476
#> 2 Engaged -> Disengaged      0.246        22.6    0.0476
#> 3 Moderate -> Disengaged    -0.0632       -5.45   0.0476
#> 4 Disengaged -> Engaged     -0.0234       -2.91   0.0476
#> 5 Engaged -> Engaged         0.00633       0.435  0.810 
#> 6 Moderate -> Engaged       -0.0962      -11.4    0.0476
#> 7 Disengaged -> Moderate    -0.0124       -3.61   0.0476
#> 8 Engaged -> Moderate       -0.252       -15.9    0.0476
#> 9 Moderate -> Moderate       0.159        12.2    0.0476
#>