htna-named wrapper for Nestimate::net_pruning_details(). Returns a
tidy data frame describing which edges were kept or removed by a
prune_htna() step and why.
Arguments
- x
A pruned htna network (or other object accepted by
Nestimate::net_pruning_details()); S3 dispatch onxis preserved.- ...
Additional arguments passed to
Nestimate::net_pruning_details(). See that function for details.
Value
A data frame, one row per edge. See
Nestimate::net_pruning_details() for details.
Details
Suffixed _htna to avoid clashing with the tna verb
pruning_details() and to sit alongside the rest of the htna API.
Examples
# \donttest{
data(human_ai)
net <- build_htna(human_ai, actor_type = "actor_type")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (42 sessions), 'actor_type' (24 sessions)
pruned <- prune_htna(net, method = "threshold", threshold = 0.05)
pruning_details_htna(pruned)
#> Pruning details
#> Method: user-specified threshold (0.05)
#> Removed: 62 edges
#> Retained: 73 edges
#>
#> from to weight
#> Delegate Check 0.038869258
#> Refine Check 0.045454545
#> Repair Check 0.011857708
#> Specify Check 0.016809605
#> Check Delegate 0.015408320
#> Frustrate Delegate 0.039122703
#> Inquire Delegate 0.026995305
#> Refine Delegate 0.006313131
#> Repair Delegate 0.027667984
#> Request Delegate 0.018387097
#> Specify Delegate 0.040137221
#> Ask Execute 0.022052587
#> Delegate Execute 0.010600707
#> Plan Execute 0.015483871
#> Report Execute 0.008771930
#> Inquire Frustrate 0.038732394
#> Refine Frustrate 0.007575758
#> Repair Frustrate 0.043478261
#> Request Frustrate 0.015806452
#> Check Inquire 0.004622496
#> Delegate Inquire 0.031802120
#> Refine Inquire 0.013888889
#> Repair Inquire 0.047430830
#> Request Inquire 0.009677419
#> Specify Inquire 0.010634648
#> Check Plan 0.008474576
#> Frustrate Plan 0.003556609
#> Inquire Plan 0.009389671
#> Refine Plan 0.012626263
#> Repair Plan 0.015810277
#> Report Plan 0.049707602
#> Request Plan 0.007741935
#> Specify Plan 0.015094340
#> Check Refine 0.041602465
#> Delegate Refine 0.014134276
#> Inquire Refine 0.016431925
#> Repair Refine 0.023715415
#> Request Refine 0.009354839
#> Specify Refine 0.002401372
#> Ask Repair 0.003816794
#> Check Repair 0.033127889
#> Execute Repair 0.001907184
#> Frustrate Repair 0.029045643
#> Inquire Repair 0.042253521
#> Plan Repair 0.005161290
#> Refine Repair 0.025252525
#> Report Repair 0.039473684
#> Request Repair 0.006774194
#> Specify Repair 0.012692967
#> Ask Report 0.027989822
#> Delegate Report 0.017667845
#> Execute Report 0.009535919
#> Frustrate Report 0.021339656
#> Plan Report 0.026451613
#> Refine Report 0.022727273
#> Request Report 0.033870968
#> Specify Report 0.037392796
#> Check Request 0.049306626
#> Inquire Request 0.028169014
#> Delegate Specify 0.035335689
#> Inquire Specify 0.029342723
#> Repair Specify 0.019762846
# }