Print Bootstrap Results
Arguments
- x
A
tna_bootstrapobject.- digits
An
integergiving the minimal number of significant digits to print.- type
A
charactervector giving the type of edges to print. The default option"both"prints both statistically significant and non-significant edges,"sig"prints only significant edges, and"nonsig"prints only the non-significant edges.- ...
Ignored.
See also
Validation functions
bootstrap(),
deprune(),
estimate_cs(),
permutation_test(),
plot.group_tna_stability(),
plot.tna_permutation(),
plot.tna_stability(),
print.group_tna_bootstrap(),
print.group_tna_stability(),
print.summary.group_tna_bootstrap(),
print.summary.tna_bootstrap(),
print.tna_permutation(),
print.tna_stability(),
prune(),
pruning_details(),
reprune(),
summary.group_tna_bootstrap(),
summary.tna_bootstrap()
Examples
model <- tna(group_regulation)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 10)
print(boot)
#> Significant Edges
#>
#> from to weight p_value ci_lower ci_upper
#> 5 adapt discuss 0.07137434 0 0.06879830 0.07882252
#> 9 adapt synthesis 0.23466258 0 0.20738472 0.26215579
#> 10 cohesion adapt 0.27308448 0 0.24423412 0.32994227
#> 11 cohesion cohesion 0.02713864 0 0.02387032 0.03250589
#> 12 cohesion consensus 0.01485227 0 0.01323774 0.01768160
#> 13 cohesion coregulate 0.03604061 0 0.02998887 0.04400990
#> 14 cohesion discuss 0.04758289 0 0.04519235 0.05279624
#> 15 cohesion emotion 0.32534367 0 0.31195496 0.33306839
#> 16 cohesion monitor 0.05582694 0 0.04872169 0.06629924
#> 17 cohesion plan 0.02517460 0 0.02186184 0.02734084
#> 19 consensus adapt 0.47740668 0 0.44267345 0.51742424
#> 20 consensus cohesion 0.49793510 0 0.47435730 0.51590656
#> 21 consensus consensus 0.08200348 0 0.07657180 0.08330492
#> 22 consensus coregulate 0.13451777 0 0.12257134 0.14591520
#> 23 consensus discuss 0.32118451 0 0.30506140 0.32791621
#> 24 consensus emotion 0.32040888 0 0.31256799 0.32757362
#> 25 consensus monitor 0.15910677 0 0.13391430 0.16856088
#> 26 consensus plan 0.29040117 0 0.28181484 0.30071047
#> 27 consensus synthesis 0.46625767 0 0.42377390 0.51885512
#> 29 coregulate cohesion 0.11917404 0 0.10280034 0.13523908
#> 30 coregulate consensus 0.18770738 0 0.18318109 0.19080783
#> 32 coregulate discuss 0.08428246 0 0.07654286 0.09461530
#> 33 coregulate emotion 0.03419105 0 0.02786401 0.03886402
#> 34 coregulate monitor 0.05792045 0 0.05192382 0.06435962
#> 35 coregulate plan 0.01721618 0 0.01488443 0.01891217
#> 38 discuss cohesion 0.05958702 0 0.05033924 0.06452243
#> 39 discuss consensus 0.18802338 0 0.18672906 0.19453156
#> 40 discuss coregulate 0.27360406 0 0.25904298 0.27904788
#> 41 discuss discuss 0.19488737 0 0.19050856 0.20416967
#> 42 discuss emotion 0.10186817 0 0.09640263 0.11045981
#> 43 discuss monitor 0.37543615 0 0.35227817 0.38826403
#> 44 discuss plan 0.06789021 0 0.06354315 0.07110710
#> 46 emotion adapt 0.11984283 0 0.10122185 0.13577003
#> 47 emotion cohesion 0.11563422 0 0.10392108 0.13081261
#> 48 emotion consensus 0.07268131 0 0.06763626 0.07712943
#> 49 emotion coregulate 0.17208122 0 0.15228676 0.18464681
#> 50 emotion discuss 0.10579600 0 0.10156220 0.11523829
#> 51 emotion emotion 0.07684173 0 0.06514414 0.08229707
#> 52 emotion monitor 0.09071877 0 0.08240753 0.10347256
#> 53 emotion plan 0.14682475 0 0.14217448 0.15043632
#> 54 emotion synthesis 0.07055215 0 0.06349852 0.07655959
#> 56 monitor cohesion 0.03303835 0 0.02587357 0.03708888
#> 57 monitor consensus 0.04661084 0 0.04424165 0.05000443
#> 58 monitor coregulate 0.08629442 0 0.07779977 0.09270759
#> 60 monitor emotion 0.03630596 0 0.03113778 0.04399990
#> 62 monitor plan 0.07552379 0 0.06867698 0.08083966
#> 65 plan cohesion 0.14100295 0 0.13133484 0.14656545
#> 66 plan consensus 0.39579712 0 0.38663157 0.40013626
#> 67 plan coregulate 0.23908629 0 0.22449513 0.26223338
#> 68 plan discuss 0.01164262 0 0.01069256 0.01430065
#> 69 plan emotion 0.09975326 0 0.08890183 0.10488273
#> 70 plan monitor 0.21563154 0 0.19858268 0.23060683
#> 71 plan plan 0.37420822 0 0.36388166 0.38841316
#> 72 plan synthesis 0.07515337 0 0.07283982 0.08794922
#> 77 synthesis discuss 0.14097697 0 0.13343839 0.14627278
#>
#> Non-significant Edges
#>
#> from to weight p_value ci_lower ci_upper
#> 2 adapt cohesion 0.0029498525 0.4 0.0017550137 0.004926479
#> 3 adapt consensus 0.0047400853 0.2 0.0034331332 0.006213130
#> 4 adapt coregulate 0.0162436548 0.1 0.0128675721 0.020885417
#> 6 adapt emotion 0.0024673951 0.3 0.0021505918 0.004391937
#> 7 adapt monitor 0.0111653873 0.3 0.0095491365 0.015587040
#> 8 adapt plan 0.0009745006 0.5 0.0008056013 0.001942620
#> 18 cohesion synthesis 0.0337423313 0.3 0.0187106093 0.042546325
#> 28 coregulate adapt 0.0216110020 0.3 0.0162596924 0.037723244
#> 31 coregulate coregulate 0.0233502538 0.1 0.0216455919 0.029151342
#> 36 coregulate synthesis 0.0444785276 0.3 0.0305046744 0.064914702
#> 37 discuss adapt 0.0589390963 0.3 0.0395203317 0.082817002
#> 45 discuss synthesis 0.0628834356 0.2 0.0467828475 0.084203829
#> 55 monitor adapt 0.0333988212 0.2 0.0283873644 0.053488136
#> 59 monitor discuss 0.0222728423 0.1 0.0165662331 0.023024561
#> 61 monitor monitor 0.0181437544 0.2 0.0169098659 0.024263159
#> 63 monitor synthesis 0.0122699387 0.5 0.0038742284 0.015247496
#> 64 plan adapt 0.0157170923 0.4 0.0086708309 0.027746212
#> 74 synthesis cohesion 0.0035398230 0.3 0.0020217594 0.005659976
#> 75 synthesis consensus 0.0075841365 0.2 0.0056413711 0.010242796
#> 76 synthesis coregulate 0.0187817259 0.3 0.0128274116 0.024732357
#> 78 synthesis emotion 0.0028198802 0.5 0.0017579660 0.005410704
#> 79 synthesis monitor 0.0160502442 0.6 0.0109092251 0.024338140
#> 80 synthesis plan 0.0017865844 0.6 0.0011377194 0.002416022