Summarize Bootstrap Results
Usage
# S3 method for class 'tna_bootstrap'
summary(object, ...)
Value
A summary.tna_bootstrap
object containing the weight,
p-value and confidence interval of each edge.
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_bootstrap()
,
print.tna_permutation()
,
print.tna_stability()
,
prune()
,
pruning_details()
,
reprune()
,
summary.group_tna_bootstrap()
Examples
model <- tna(group_regulation)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 50)
summary(boot)
#> from to weight p_value sig ci_lower ci_upper
#> 2 adapt cohesion 0.0029498525 0.48 FALSE 0.0007252365 0.006455659
#> 3 adapt consensus 0.0047400853 0.12 FALSE 0.0032069042 0.006342683
#> 4 adapt coregulate 0.0162436548 0.16 FALSE 0.0115620893 0.021346875
#> 5 adapt discuss 0.0713743356 0.00 TRUE 0.0637357751 0.078537014
#> 6 adapt emotion 0.0024673951 0.60 FALSE 0.0011288938 0.004704211
#> 7 adapt monitor 0.0111653873 0.42 FALSE 0.0055914341 0.015345497
#> 8 adapt plan 0.0009745006 0.58 FALSE 0.0003245055 0.001625889
#> 9 adapt synthesis 0.2346625767 0.00 TRUE 0.2070190533 0.275092730
#> 10 cohesion adapt 0.2730844794 0.00 TRUE 0.2487727349 0.309258573
#> 11 cohesion cohesion 0.0271386431 0.08 FALSE 0.0192992481 0.033391602
#> 12 cohesion consensus 0.0148522673 0.00 TRUE 0.0124485622 0.017454531
#> 13 cohesion coregulate 0.0360406091 0.04 TRUE 0.0276117410 0.044474304
#> 14 cohesion discuss 0.0475828904 0.00 TRUE 0.0423655264 0.052819572
#> 15 cohesion emotion 0.3253436729 0.00 TRUE 0.3079478718 0.338785078
#> 16 cohesion monitor 0.0558269365 0.06 FALSE 0.0433919826 0.069811744
#> 17 cohesion plan 0.0251745980 0.02 TRUE 0.0213769816 0.030666142
#> 18 cohesion synthesis 0.0337423313 0.26 FALSE 0.0220636634 0.049009995
#> 19 consensus adapt 0.4774066798 0.00 TRUE 0.4379887326 0.526072165
#> 20 consensus cohesion 0.4979351032 0.00 TRUE 0.4739599860 0.520383244
#> 21 consensus consensus 0.0820034761 0.00 TRUE 0.0741904848 0.088328845
#> 22 consensus coregulate 0.1345177665 0.00 TRUE 0.1194599954 0.146161449
#> 23 consensus discuss 0.3211845103 0.00 TRUE 0.3080931662 0.338474122
#> 24 consensus emotion 0.3204088826 0.00 TRUE 0.3067202346 0.332437489
#> 25 consensus monitor 0.1591067690 0.00 TRUE 0.1410253999 0.183190872
#> 26 consensus plan 0.2904011694 0.00 TRUE 0.2814541261 0.299743187
#> 27 consensus synthesis 0.4662576687 0.00 TRUE 0.4263722991 0.495424508
#> 28 coregulate adapt 0.0216110020 0.36 FALSE 0.0107493191 0.036491894
#> 29 coregulate cohesion 0.1191740413 0.00 TRUE 0.1038618788 0.132044228
#> 30 coregulate consensus 0.1877073787 0.00 TRUE 0.1759719579 0.193457786
#> 31 coregulate coregulate 0.0233502538 0.12 FALSE 0.0156201153 0.030906393
#> 32 coregulate discuss 0.0842824601 0.00 TRUE 0.0754639301 0.091476946
#> 33 coregulate emotion 0.0341910469 0.02 TRUE 0.0276439137 0.042063202
#> 34 coregulate monitor 0.0579204466 0.04 TRUE 0.0456809877 0.069095258
#> 35 coregulate plan 0.0172161767 0.02 TRUE 0.0141582773 0.021137596
#> 36 coregulate synthesis 0.0444785276 0.20 FALSE 0.0317450020 0.063991000
#> 37 discuss adapt 0.0589390963 0.12 FALSE 0.0388306518 0.077627604
#> 38 discuss cohesion 0.0595870206 0.02 TRUE 0.0510119610 0.070472943
#> 39 discuss consensus 0.1880233844 0.00 TRUE 0.1773712672 0.198203620
#> 40 discuss coregulate 0.2736040609 0.00 TRUE 0.2498622880 0.290907111
#> 41 discuss discuss 0.1948873703 0.00 TRUE 0.1809782830 0.205519339
#> 42 discuss emotion 0.1018681706 0.00 TRUE 0.0908460421 0.111588926
#> 43 discuss monitor 0.3754361479 0.00 TRUE 0.3571962898 0.400554717
#> 44 discuss plan 0.0678902063 0.00 TRUE 0.0611443685 0.071995253
#> 45 discuss synthesis 0.0628834356 0.10 FALSE 0.0466915135 0.079032620
#> 46 emotion adapt 0.1198428291 0.02 TRUE 0.0919862174 0.139941834
#> 47 emotion cohesion 0.1156342183 0.00 TRUE 0.1046761882 0.125453719
#> 48 emotion consensus 0.0726813083 0.00 TRUE 0.0671364357 0.078604523
#> 49 emotion coregulate 0.1720812183 0.00 TRUE 0.1520699465 0.189938194
#> 50 emotion discuss 0.1057960010 0.00 TRUE 0.0997055530 0.113451303
#> 51 emotion emotion 0.0768417342 0.00 TRUE 0.0658830392 0.084931852
#> 52 emotion monitor 0.0907187718 0.00 TRUE 0.0753768566 0.105316609
#> 53 emotion plan 0.1468247523 0.00 TRUE 0.1385889645 0.155489492
#> 54 emotion synthesis 0.0705521472 0.06 FALSE 0.0549117853 0.091152966
#> 55 monitor adapt 0.0333988212 0.30 FALSE 0.0211472065 0.047717845
#> 56 monitor cohesion 0.0330383481 0.08 FALSE 0.0238949252 0.040124615
#> 57 monitor consensus 0.0466108390 0.00 TRUE 0.0419388845 0.051906964
#> 58 monitor coregulate 0.0862944162 0.00 TRUE 0.0746409192 0.101232304
#> 59 monitor discuss 0.0222728423 0.04 TRUE 0.0175400457 0.026920965
#> 60 monitor emotion 0.0363059570 0.02 TRUE 0.0309984125 0.044669581
#> 61 monitor monitor 0.0181437544 0.28 FALSE 0.0103271417 0.025541012
#> 62 monitor plan 0.0755237941 0.00 TRUE 0.0672047835 0.081125572
#> 63 monitor synthesis 0.0122699387 0.52 FALSE 0.0051172113 0.022888476
#> 64 plan adapt 0.0157170923 0.46 FALSE 0.0043440522 0.026107627
#> 65 plan cohesion 0.1410029499 0.00 TRUE 0.1257367399 0.153685685
#> 66 plan consensus 0.3957971243 0.00 TRUE 0.3887287953 0.408492691
#> 67 plan coregulate 0.2390862944 0.00 TRUE 0.2223705490 0.256820446
#> 68 plan discuss 0.0116426221 0.10 FALSE 0.0077228667 0.014564329
#> 69 plan emotion 0.0997532605 0.00 TRUE 0.0930994580 0.109464515
#> 70 plan monitor 0.2156315422 0.00 TRUE 0.1969587904 0.246132144
#> 71 plan plan 0.3742082183 0.00 TRUE 0.3642392987 0.382348498
#> 72 plan synthesis 0.0751533742 0.12 FALSE 0.0552443547 0.097462162
#> 74 synthesis cohesion 0.0035398230 0.52 FALSE 0.0019268009 0.006781306
#> 75 synthesis consensus 0.0075841365 0.02 TRUE 0.0058493711 0.008954083
#> 76 synthesis coregulate 0.0187817259 0.22 FALSE 0.0130712314 0.026394839
#> 77 synthesis discuss 0.1409769679 0.00 TRUE 0.1332025936 0.151137184
#> 78 synthesis emotion 0.0028198802 0.46 FALSE 0.0011408453 0.004301577
#> 79 synthesis monitor 0.0160502442 0.22 FALSE 0.0105568912 0.021790806
#> 80 synthesis plan 0.0017865844 0.52 FALSE 0.0006978212 0.002679830