Summarize Bootstrap Results for a Grouped Transition Network
Source:R/summary.R
summary.group_tna_bootstrap.RdSummarize Bootstrap Results for a Grouped Transition Network
Usage
# S3 method for class 'group_tna_bootstrap'
summary(object, ...)Value
A summary.group_tna_bootstrap object containing the weight,
estimated p-value and confidence interval of each edge for each cluster.
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_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.tna_bootstrap()
Examples
model <- group_tna(engagement_mmm)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 10)
summary(boot)
#> group from to weight p_value sig cr_lower
#> 1 Cluster 1 Disengaged Disengaged 0.680794702 0.09090909 FALSE 0.5105960265
#> 2 Cluster 1 Engaged Disengaged 0.020270270 0.18181818 FALSE 0.0152027027
#> 3 Cluster 1 Moderate Disengaged 0.120651574 0.09090909 FALSE 0.0904886803
#> 4 Cluster 1 Disengaged Engaged 0.158278146 0.09090909 FALSE 0.1187086093
#> 5 Cluster 1 Engaged Engaged 0.661642412 0.09090909 FALSE 0.4962318087
#> 6 Cluster 1 Moderate Engaged 0.124240751 0.09090909 FALSE 0.0931805632
#> 7 Cluster 1 Disengaged Moderate 0.160927152 0.09090909 FALSE 0.1206953642
#> 8 Cluster 1 Engaged Moderate 0.318087318 0.09090909 FALSE 0.2385654886
#> 9 Cluster 1 Moderate Moderate 0.755107675 0.09090909 FALSE 0.5663307565
#> 10 Cluster 2 Disengaged Disengaged 0.911206588 0.09090909 FALSE 0.6834049409
#> 11 Cluster 2 Engaged Disengaged 0.308310992 0.09090909 FALSE 0.2312332440
#> 12 Cluster 2 Moderate Disengaged 0.118299445 0.09090909 FALSE 0.0887245841
#> 13 Cluster 2 Disengaged Engaged 0.087719298 0.09090909 FALSE 0.0657894737
#> 14 Cluster 2 Engaged Engaged 0.671581769 0.09090909 FALSE 0.5036863271
#> 15 Cluster 2 Moderate Engaged 0.053604436 0.18181818 FALSE 0.0402033272
#> 16 Cluster 2 Disengaged Moderate 0.001074114 0.72727273 FALSE 0.0008055854
#> 17 Cluster 2 Engaged Moderate 0.020107239 0.36363636 FALSE 0.0150804290
#> 18 Cluster 2 Moderate Moderate 0.828096118 0.09090909 FALSE 0.6210720887
#> 19 Cluster 3 Disengaged Disengaged 0.875386574 0.09090909 FALSE 0.6565399309
#> 20 Cluster 3 Engaged Disengaged 0.062464509 0.09090909 FALSE 0.0468483816
#> 21 Cluster 3 Moderate Disengaged 0.181534460 0.09090909 FALSE 0.1361508453
#> 22 Cluster 3 Disengaged Engaged 0.111151537 0.09090909 FALSE 0.0833636529
#> 23 Cluster 3 Engaged Engaged 0.665247019 0.09090909 FALSE 0.4989352641
#> 24 Cluster 3 Moderate Engaged 0.149804941 0.09090909 FALSE 0.1123537061
#> 25 Cluster 3 Disengaged Moderate 0.013461888 0.09090909 FALSE 0.0100964162
#> 26 Cluster 3 Engaged Moderate 0.272288472 0.09090909 FALSE 0.2042163543
#> 27 Cluster 3 Moderate Moderate 0.668660598 0.09090909 FALSE 0.5014954486
#> cr_upper ci_lower ci_upper
#> 1 0.850993377 0.65851595 0.701765465
#> 2 0.025337838 0.01522021 0.024533354
#> 3 0.150814467 0.11185895 0.127810547
#> 4 0.197847682 0.14864852 0.177030993
#> 5 0.827053015 0.65691320 0.678459220
#> 6 0.155300939 0.11830878 0.134932491
#> 7 0.201158940 0.14536605 0.173049466
#> 8 0.397609148 0.30188911 0.322162221
#> 9 0.943884594 0.74478906 0.764436142
#> 10 1.139008235 0.89767208 0.913199139
#> 11 0.385388740 0.28202381 0.324490835
#> 12 0.147874307 0.10914144 0.145351782
#> 13 0.109649123 0.08545664 0.101663465
#> 14 0.839477212 0.65166971 0.702280844
#> 15 0.067005545 0.04048663 0.062816602
#> 16 0.001342642 0.00000000 0.002935917
#> 17 0.025134048 0.01007157 0.032295178
#> 18 1.035120148 0.80996637 0.841370442
#> 19 1.094233218 0.86838162 0.880911715
#> 20 0.078080636 0.05838751 0.070077898
#> 21 0.226918075 0.17774609 0.195163994
#> 22 0.138939422 0.10789026 0.117631870
#> 23 0.831558773 0.65566963 0.677949475
#> 24 0.187256177 0.13502110 0.158687132
#> 25 0.016827360 0.01068712 0.015973300
#> 26 0.340360591 0.26212408 0.274647267
#> 27 0.835825748 0.65438711 0.683770803