Print a Bootstrap Summary
Usage
# S3 method for class 'summary.tna_bootstrap'
print(x, ...)Value
A summary.tna_bootstrap object (invisibly) 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.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(summary(boot))
#> from to weight p_value sig ci_lower ci_upper
#> 2 adapt cohesion 0.0029498525 0.5 FALSE 0.0011940327 0.003525916
#> 3 adapt consensus 0.0047400853 0.2 FALSE 0.0036958943 0.006379985
#> 4 adapt coregulate 0.0162436548 0.2 FALSE 0.0124006532 0.022031674
#> 5 adapt discuss 0.0713743356 0.0 TRUE 0.0692302136 0.079532679
#> 6 adapt emotion 0.0024673951 0.5 FALSE 0.0018394108 0.004392359
#> 7 adapt monitor 0.0111653873 0.3 FALSE 0.0081263498 0.014990964
#> 8 adapt plan 0.0009745006 0.5 FALSE 0.0003595156 0.001536444
#> 9 adapt synthesis 0.2346625767 0.0 TRUE 0.2123975882 0.248861912
#> 10 cohesion adapt 0.2730844794 0.0 TRUE 0.2565251731 0.308970356
#> 11 cohesion cohesion 0.0271386431 0.1 FALSE 0.0235605375 0.039252940
#> 12 cohesion consensus 0.0148522673 0.0 TRUE 0.0128189996 0.016515997
#> 13 cohesion coregulate 0.0360406091 0.0 TRUE 0.0299507486 0.043265422
#> 14 cohesion discuss 0.0475828904 0.0 TRUE 0.0432196460 0.050691406
#> 15 cohesion emotion 0.3253436729 0.0 TRUE 0.3039923567 0.336240515
#> 16 cohesion monitor 0.0558269365 0.1 FALSE 0.0478646954 0.071748163
#> 17 cohesion plan 0.0251745980 0.0 TRUE 0.0214067438 0.029453898
#> 18 cohesion synthesis 0.0337423313 0.2 FALSE 0.0240814411 0.041602958
#> 19 consensus adapt 0.4774066798 0.0 TRUE 0.4536173322 0.502645320
#> 20 consensus cohesion 0.4979351032 0.0 TRUE 0.4846364298 0.523287198
#> 21 consensus consensus 0.0820034761 0.0 TRUE 0.0781055748 0.086108421
#> 22 consensus coregulate 0.1345177665 0.0 TRUE 0.1265881571 0.146969177
#> 23 consensus discuss 0.3211845103 0.0 TRUE 0.3055673540 0.330308479
#> 24 consensus emotion 0.3204088826 0.0 TRUE 0.3080340399 0.341024980
#> 25 consensus monitor 0.1591067690 0.0 TRUE 0.1375077189 0.173524668
#> 26 consensus plan 0.2904011694 0.0 TRUE 0.2820815813 0.297262976
#> 27 consensus synthesis 0.4662576687 0.0 TRUE 0.4076905277 0.486031207
#> 28 coregulate adapt 0.0216110020 0.1 FALSE 0.0187857274 0.033215927
#> 29 coregulate cohesion 0.1191740413 0.0 TRUE 0.1108580193 0.131697820
#> 30 coregulate consensus 0.1877073787 0.0 TRUE 0.1845471355 0.199457180
#> 31 coregulate coregulate 0.0233502538 0.0 TRUE 0.0192788176 0.028361722
#> 32 coregulate discuss 0.0842824601 0.0 TRUE 0.0784970716 0.091196403
#> 33 coregulate emotion 0.0341910469 0.0 TRUE 0.0282398685 0.039336232
#> 34 coregulate monitor 0.0579204466 0.0 TRUE 0.0460352822 0.067659885
#> 35 coregulate plan 0.0172161767 0.0 TRUE 0.0155818516 0.018566490
#> 36 coregulate synthesis 0.0444785276 0.2 FALSE 0.0367534456 0.066647851
#> 37 discuss adapt 0.0589390963 0.0 TRUE 0.0502230576 0.069059421
#> 38 discuss cohesion 0.0595870206 0.0 TRUE 0.0486982068 0.067253580
#> 39 discuss consensus 0.1880233844 0.0 TRUE 0.1769823023 0.199748298
#> 40 discuss coregulate 0.2736040609 0.0 TRUE 0.2564998018 0.286843455
#> 41 discuss discuss 0.1948873703 0.0 TRUE 0.1822832775 0.200241792
#> 42 discuss emotion 0.1018681706 0.0 TRUE 0.0901434960 0.111038786
#> 43 discuss monitor 0.3754361479 0.0 TRUE 0.3472943992 0.402220324
#> 44 discuss plan 0.0678902063 0.0 TRUE 0.0637194195 0.071296627
#> 45 discuss synthesis 0.0628834356 0.0 TRUE 0.0543491101 0.077301092
#> 46 emotion adapt 0.1198428291 0.0 TRUE 0.0945099819 0.134700171
#> 47 emotion cohesion 0.1156342183 0.0 TRUE 0.1084746862 0.124715000
#> 48 emotion consensus 0.0726813083 0.0 TRUE 0.0672112274 0.077993995
#> 49 emotion coregulate 0.1720812183 0.0 TRUE 0.1510488910 0.180645575
#> 50 emotion discuss 0.1057960010 0.0 TRUE 0.0991436240 0.113589847
#> 51 emotion emotion 0.0768417342 0.0 TRUE 0.0665767524 0.084267790
#> 52 emotion monitor 0.0907187718 0.0 TRUE 0.0841311644 0.094791229
#> 53 emotion plan 0.1468247523 0.0 TRUE 0.1412545182 0.151448184
#> 54 emotion synthesis 0.0705521472 0.1 FALSE 0.0546211578 0.093554681
#> 55 monitor adapt 0.0333988212 0.4 FALSE 0.0198235860 0.049973451
#> 56 monitor cohesion 0.0330383481 0.2 FALSE 0.0275507305 0.043730720
#> 57 monitor consensus 0.0466108390 0.0 TRUE 0.0421473652 0.050411271
#> 58 monitor coregulate 0.0862944162 0.0 TRUE 0.0818275285 0.093620212
#> 59 monitor discuss 0.0222728423 0.0 TRUE 0.0192711252 0.025990257
#> 60 monitor emotion 0.0363059570 0.0 TRUE 0.0334641284 0.041801900
#> 61 monitor monitor 0.0181437544 0.1 FALSE 0.0147348627 0.022113393
#> 62 monitor plan 0.0755237941 0.0 TRUE 0.0704875991 0.079246156
#> 63 monitor synthesis 0.0122699387 0.7 FALSE 0.0049333001 0.019916696
#> 64 plan adapt 0.0157170923 0.7 FALSE 0.0096021603 0.030448564
#> 65 plan cohesion 0.1410029499 0.0 TRUE 0.1233057367 0.151908801
#> 66 plan consensus 0.3957971243 0.0 TRUE 0.3857608488 0.405505615
#> 67 plan coregulate 0.2390862944 0.0 TRUE 0.2221911257 0.261105907
#> 68 plan discuss 0.0116426221 0.0 TRUE 0.0090526714 0.014070859
#> 69 plan emotion 0.0997532605 0.0 TRUE 0.0915633171 0.107319224
#> 70 plan monitor 0.2156315422 0.0 TRUE 0.2015340840 0.231506357
#> 71 plan plan 0.3742082183 0.0 TRUE 0.3635642069 0.381724220
#> 72 plan synthesis 0.0751533742 0.1 FALSE 0.0576400040 0.087328942
#> 74 synthesis cohesion 0.0035398230 0.4 FALSE 0.0011864348 0.006114727
#> 75 synthesis consensus 0.0075841365 0.0 TRUE 0.0070296378 0.008956304
#> 76 synthesis coregulate 0.0187817259 0.1 FALSE 0.0151397852 0.024610301
#> 77 synthesis discuss 0.1409769679 0.0 TRUE 0.1358645477 0.149786079
#> 78 synthesis emotion 0.0028198802 0.8 FALSE 0.0008179229 0.003896918
#> 79 synthesis monitor 0.0160502442 0.3 FALSE 0.0111777003 0.021134183
#> 80 synthesis plan 0.0017865844 0.4 FALSE 0.0008992835 0.002294694