Print a Bootstrap Summary for a Grouped Transition Network Model
Source:R/print.R
print.summary.group_tna_bootstrap.RdPrint a Bootstrap Summary for a Grouped Transition Network Model
Usage
# S3 method for class 'summary.group_tna_bootstrap'
print(x, ...)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.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(summary(boot))
#> group from to weight p_value sig cr_lower
#> 1 Cluster 1 Active Active 0.85985688 0.09090909 FALSE 0.64489266
#> 2 Cluster 1 Average Active 0.31210322 0.09090909 FALSE 0.23407741
#> 3 Cluster 1 Disengaged Active 0.04791061 0.09090909 FALSE 0.03593296
#> 4 Cluster 1 Active Average 0.08919748 0.09090909 FALSE 0.06689811
#> 5 Cluster 1 Average Average 0.54208478 0.09090909 FALSE 0.40656359
#> 6 Cluster 1 Disengaged Average 0.16179397 0.09090909 FALSE 0.12134548
#> 7 Cluster 1 Active Disengaged 0.05094565 0.09090909 FALSE 0.03820923
#> 8 Cluster 1 Average Disengaged 0.14581200 0.09090909 FALSE 0.10935900
#> 9 Cluster 1 Disengaged Disengaged 0.79029542 0.09090909 FALSE 0.59272157
#> 10 Cluster 2 Active Active 0.84090909 0.09090909 FALSE 0.63068182
#> 11 Cluster 2 Average Active 0.09259259 0.18181818 FALSE 0.06944444
#> 12 Cluster 2 Disengaged Active 0.15555556 0.54545455 FALSE 0.11666667
#> 13 Cluster 2 Active Average 0.15909091 0.09090909 FALSE 0.11931818
#> 14 Cluster 2 Average Average 0.62962963 0.09090909 FALSE 0.47222222
#> 15 Cluster 2 Disengaged Average 0.51111111 0.09090909 FALSE 0.38333333
#> 16 Cluster 2 Average Disengaged 0.27777778 0.09090909 FALSE 0.20833333
#> 17 Cluster 2 Disengaged Disengaged 0.33333333 0.09090909 FALSE 0.25000000
#> 18 Cluster 3 Active Active 0.58333333 0.18181818 FALSE 0.43750000
#> 19 Cluster 3 Average Active 0.15277778 0.27272727 FALSE 0.11458333
#> 20 Cluster 3 Active Average 0.12500000 0.45454545 FALSE 0.09375000
#> 21 Cluster 3 Average Average 0.81944444 0.09090909 FALSE 0.61458333
#> 22 Cluster 3 Disengaged Average 0.60000000 0.18181818 FALSE 0.45000000
#> 23 Cluster 3 Active Disengaged 0.29166667 0.18181818 FALSE 0.21875000
#> 24 Cluster 3 Average Disengaged 0.02777778 0.54545455 FALSE 0.02083333
#> 25 Cluster 3 Disengaged Disengaged 0.40000000 0.27272727 FALSE 0.30000000
#> cr_upper ci_lower ci_upper
#> 1 1.07482109 0.85460723 0.86425217
#> 2 0.39012902 0.30510332 0.32051289
#> 3 0.05988826 0.04525312 0.05292359
#> 4 0.11149685 0.08619738 0.09224549
#> 5 0.67760598 0.53427370 0.55953825
#> 6 0.20224246 0.16145880 0.17103014
#> 7 0.06368206 0.04842582 0.05550517
#> 8 0.18226500 0.13401651 0.15032307
#> 9 0.98786928 0.78031082 0.79317049
#> 10 1.05113636 0.80774457 0.86291370
#> 11 0.11574074 0.06800863 0.11061606
#> 12 0.19444444 0.10518569 0.27008342
#> 13 0.19886364 0.13708630 0.19225543
#> 14 0.78703704 0.60635056 0.69190985
#> 15 0.63888889 0.40214003 0.56115669
#> 16 0.34722222 0.22455500 0.29930150
#> 17 0.41666667 0.30244053 0.37500000
#> 18 0.72916667 0.48450000 0.73793103
#> 19 0.19097222 0.10956183 0.19985733
#> 20 0.15625000 0.04547414 0.19100000
#> 21 1.02430556 0.78186670 0.84726351
#> 22 0.75000000 0.48939130 0.73593750
#> 23 0.36458333 0.21659483 0.36281818
#> 24 0.03472222 0.01299632 0.05609132
#> 25 0.50000000 0.26406250 0.51060870