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_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_permutation(),
print.tna_stability(),
prune(),
pruning_details(),
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 Active Active 0.70615034 0.09090909 FALSE 0.52961276
#> 2 Cluster 1 Average Active 0.51339286 0.09090909 FALSE 0.38504464
#> 3 Cluster 1 Disengaged Active 0.33333333 0.36363636 FALSE 0.25000000
#> 4 Cluster 1 Active Average 0.29384966 0.09090909 FALSE 0.22038724
#> 5 Cluster 1 Average Average 0.45982143 0.09090909 FALSE 0.34486607
#> 6 Cluster 1 Disengaged Average 0.38095238 0.18181818 FALSE 0.28571429
#> 7 Cluster 1 Average Disengaged 0.02678571 0.72727273 FALSE 0.02008929
#> 8 Cluster 1 Disengaged Disengaged 0.28571429 0.18181818 FALSE 0.21428571
#> 9 Cluster 2 Active Active 0.49242424 0.09090909 FALSE 0.36931818
#> 10 Cluster 2 Average Active 0.32495164 0.09090909 FALSE 0.24371373
#> 11 Cluster 2 Disengaged Active 0.33333333 0.18181818 FALSE 0.25000000
#> 12 Cluster 2 Active Average 0.44191919 0.09090909 FALSE 0.33143939
#> 13 Cluster 2 Average Average 0.58607350 0.09090909 FALSE 0.43955513
#> 14 Cluster 2 Disengaged Average 0.57333333 0.09090909 FALSE 0.43000000
#> 15 Cluster 2 Active Disengaged 0.06565657 0.27272727 FALSE 0.04924242
#> 16 Cluster 2 Average Disengaged 0.08897485 0.18181818 FALSE 0.06673114
#> 17 Cluster 2 Disengaged Disengaged 0.09333333 0.36363636 FALSE 0.07000000
#> 18 Cluster 3 Active Active 0.30067568 0.09090909 FALSE 0.22550676
#> 19 Cluster 3 Average Active 0.15940767 0.09090909 FALSE 0.11955575
#> 20 Cluster 3 Disengaged Active 0.06578947 0.27272727 FALSE 0.04934211
#> 21 Cluster 3 Active Average 0.60810811 0.09090909 FALSE 0.45608108
#> 22 Cluster 3 Average Average 0.57317073 0.09090909 FALSE 0.42987805
#> 23 Cluster 3 Disengaged Average 0.47076023 0.09090909 FALSE 0.35307018
#> 24 Cluster 3 Active Disengaged 0.09121622 0.09090909 FALSE 0.06841216
#> 25 Cluster 3 Average Disengaged 0.26742160 0.09090909 FALSE 0.20056620
#> 26 Cluster 3 Disengaged Disengaged 0.46345029 0.09090909 FALSE 0.34758772
#> cr_upper ci_lower ci_upper
#> 1 0.88268793 0.668737887 0.74482545
#> 2 0.64174107 0.457951838 0.56742483
#> 3 0.41666667 0.253002070 0.54851190
#> 4 0.36731207 0.255174549 0.33126211
#> 5 0.57477679 0.404073276 0.50000000
#> 6 0.47619048 0.197644928 0.42478992
#> 7 0.03348214 0.005231274 0.04637509
#> 8 0.35714286 0.219012605 0.34013158
#> 9 0.61553030 0.465256700 0.52701432
#> 10 0.40618956 0.302604338 0.36285623
#> 11 0.41666667 0.287717933 0.40902778
#> 12 0.55239899 0.413593858 0.46944246
#> 13 0.73259188 0.558018913 0.60234272
#> 14 0.71666667 0.490625000 0.62010218
#> 15 0.08207071 0.044139011 0.08934321
#> 16 0.11121857 0.078991968 0.10864481
#> 17 0.11666667 0.057142857 0.13187867
#> 18 0.37584459 0.258195057 0.33227848
#> 19 0.19925958 0.147430276 0.17789130
#> 20 0.08223684 0.053207360 0.08741705
#> 21 0.76013514 0.578244681 0.65930539
#> 22 0.71646341 0.555387460 0.59214533
#> 23 0.58845029 0.456262394 0.49002503
#> 24 0.11402027 0.073961938 0.10450563
#> 25 0.33427700 0.250382805 0.28353028
#> 26 0.57931287 0.432195323 0.48100129