Transitions of an LSA Fit or an Inference Result (Tidy)
Source:R/filter-transitions.R, R/transitions-inference.R
transitions.RdThe canonical way to read the per-transition table of a fit or of any
inference result as a tidy one-row-per-transition data.frame.
transitions(x) returns every transition; the arguments narrow it.
Usage
transitions(fit, ...)
# S3 method for class 'lsa'
transitions(
fit,
significant = FALSE,
direction = c("any", "over", "under"),
min_count = NULL,
alpha = NULL,
sort = c("none", "strength", "count", "prob"),
...
)
# S3 method for class 'lsa_group'
transitions(
fit,
significant = FALSE,
direction = c("any", "over", "under"),
min_count = NULL,
alpha = NULL,
sort = c("none", "strength", "count", "prob"),
...
)
# S3 method for class 'lsa_bootstrap'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_certainty'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_stability'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_permutation'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_comparison'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_comparison_pairwise'
transitions(fit, significant = FALSE, sort = c("none", "strength"), ...)
# S3 method for class 'lsa_lags'
transitions(
fit,
significant = FALSE,
direction = c("any", "over", "under"),
min_count = NULL,
alpha = NULL,
sort = c("none", "strength", "count", "prob"),
...
)Arguments
- fit
An
lsafit fromlsa(), a groupedlsa_group, a multi-laglsa_lagsfromlsa_lags(), or an inference result frombootstrap_lsa(),certainty_lsa(),stability_lsa(),permute_lsa(),compare_lsa()orbayes_compare_lsa().- ...
Arguments passed to the method.
- significant
Logical. Keep only the transitions the method flags as significant or stable. Default
FALSE(keep all).- direction
One of
"any"(default),"over"(over-represented: significant with a positive residual), or"under"(under-represented: significant with a negative residual). Selecting a direction impliessignificant = TRUE.- min_count
Optional integer. Keep only transitions observed at least this many times. Default
NULL(no count filter).- alpha
Significance threshold. Default
NULL, which uses the alpha recorded on the fit (fit$params$alpha).- sort
Row ordering.
"none"(default) keeps the matrix (column-major) order;"strength"orders by the method's signed effect,"count"by observed count,"prob"by transition probability – each descending, so the table reads strongest-first.
Value
A data.frame, one row per transition. For a fit the columns are
from, to (the source and target state names), lag, count,
expected, prob (row-conditional), prob_col (column-
conditional), adj_res, p, yules_q, kappa, kappa_z,
kappa_p, lift, sign, significant. Engines that compute extra
per-cell statistics append them as further columns (e.g. the two-cell
engine adds odds_ratio, log_or, log_or_se). An inference result
carries from, to and that method's own quantities. A grouped fit
gains a leading group column. Row names are reset.
Details
Applied to a fit from lsa() the table holds the estimated transition
statistics. Applied to the result of bootstrap_lsa(),
certainty_lsa(), stability_lsa(), permute_lsa(), compare_lsa()
or bayes_compare_lsa() the table holds that method's per-transition
quantities, and significant = TRUE keeps the transitions the method
itself flags: resampling-stable for bootstrap_lsa() and
certainty_lsa(), stable across replicates for stability_lsa(), and
below the significance threshold for permute_lsa(), compare_lsa()
and bayes_compare_lsa().
Examples
fit <- lsa(group_regulation)
transitions(fit) # all transitions
#> from to lag count expected prob prob_col
#> 1 adapt adapt 1 0 10.58548 0.0000000000 0.000000000
#> 2 cohesion adapt 1 5 35.25026 0.0029498525 0.009416196
#> 3 consensus adapt 1 30 131.62178 0.0047400853 0.056497175
#> 4 coregulate adapt 1 32 40.96933 0.0162436548 0.060263653
#> 5 discuss adapt 1 282 82.16743 0.0713743356 0.531073446
#> 6 emotion adapt 1 7 59.00000 0.0024673951 0.013182674
#> 7 monitor adapt 1 16 29.80155 0.0111653873 0.030131827
#> 8 plan adapt 1 6 128.04477 0.0009745006 0.011299435
#> 9 synthesis adapt 1 153 13.55939 0.2346625767 0.288135593
#> 10 adapt cohesion 1 139 34.24831 0.2730844794 0.080908033
#> 11 cohesion cohesion 1 46 114.04888 0.0271386431 0.026775320
#> 12 consensus cohesion 1 94 425.84976 0.0148522673 0.054714785
#> 13 coregulate cohesion 1 71 132.55238 0.0360406091 0.041327125
#> 14 discuss cohesion 1 188 265.84491 0.0475828904 0.109429569
#> 15 emotion cohesion 1 923 190.88889 0.3253436729 0.537252619
#> 16 monitor cohesion 1 80 96.42008 0.0558269365 0.046565774
#> 17 plan cohesion 1 155 414.27666 0.0251745980 0.090221187
#> 18 synthesis cohesion 1 22 43.87013 0.0337423313 0.012805588
#> 19 adapt consensus 1 243 126.96593 0.4774066798 0.038153556
#> 20 cohesion consensus 1 844 422.80402 0.4979351032 0.132516879
#> 21 consensus consensus 1 519 1578.71778 0.0820034761 0.081488460
#> 22 coregulate consensus 1 265 491.40054 0.1345177665 0.041607788
#> 23 discuss consensus 1 1269 985.54494 0.3211845103 0.199246350
#> 24 emotion consensus 1 909 707.66667 0.3204088826 0.142722562
#> 25 monitor consensus 1 228 357.45024 0.1591067690 0.035798398
#> 26 plan consensus 1 1788 1535.81377 0.2904011694 0.280734809
#> 27 synthesis consensus 1 304 162.63612 0.4662576687 0.047731198
#> 28 adapt coregulate 1 11 41.76380 0.0216110020 0.005250597
#> 29 cohesion coregulate 1 202 139.07590 0.1191740413 0.096420048
#> 30 consensus coregulate 1 1188 519.29875 0.1877073787 0.567064439
#> 31 coregulate coregulate 1 46 161.63984 0.0233502538 0.021957041
#> 32 discuss coregulate 1 333 324.18223 0.0842824601 0.158949881
#> 33 emotion coregulate 1 97 232.77778 0.0341910469 0.046300716
#> 34 monitor coregulate 1 83 117.57862 0.0579204466 0.039618138
#> 35 plan coregulate 1 106 505.18603 0.0172161767 0.050596659
#> 36 synthesis coregulate 1 29 53.49704 0.0444785276 0.013842482
#> 37 adapt discuss 1 30 78.06541 0.0589390963 0.007660878
#> 38 cohesion discuss 1 101 259.96240 0.0595870206 0.025791624
#> 39 consensus discuss 1 1190 970.67967 0.1880233844 0.303881512
#> 40 coregulate discuss 1 539 302.13919 0.2736040609 0.137640449
#> 41 discuss discuss 1 770 605.96546 0.1948873703 0.196629213
#> 42 emotion discuss 1 289 435.11111 0.1018681706 0.073799796
#> 43 monitor discuss 1 538 219.77942 0.3754361479 0.137385087
#> 44 plan discuss 1 418 944.30000 0.0678902063 0.106741573
#> 45 synthesis discuss 1 41 99.99734 0.0628834356 0.010469867
#> 46 adapt emotion 1 61 55.25978 0.1198428291 0.022005772
#> 47 cohesion emotion 1 196 184.01833 0.1156342183 0.070707071
#> 48 consensus emotion 1 460 687.11033 0.0726813083 0.165945166
#> 49 coregulate emotion 1 339 213.87381 0.1720812183 0.122294372
#> 50 discuss emotion 1 418 428.94184 0.1057960010 0.150793651
#> 51 emotion emotion 1 218 308.00000 0.0768417342 0.078643579
#> 52 monitor emotion 1 130 155.57420 0.0907187718 0.046897547
#> 53 plan emotion 1 904 668.43708 0.1468247523 0.326118326
#> 54 synthesis emotion 1 46 70.78463 0.0705521472 0.016594517
#> 55 adapt monitor 1 17 24.48016 0.0333988212 0.013843648
#> 56 cohesion monitor 1 56 81.52039 0.0330383481 0.045602606
#> 57 consensus monitor 1 295 304.39087 0.0466108390 0.240228013
#> 58 coregulate monitor 1 170 94.74641 0.0862944162 0.138436482
#> 59 discuss monitor 1 88 190.02185 0.0222728423 0.071661238
#> 60 emotion monitor 1 103 136.44444 0.0363059570 0.083876221
#> 61 monitor monitor 1 26 68.91959 0.0181437544 0.021172638
#> 62 plan monitor 1 465 296.11859 0.0755237941 0.378664495
#> 63 synthesis monitor 1 8 31.35769 0.0122699387 0.006514658
#> 64 adapt plan 1 8 123.87600 0.0157170923 0.001287416
#> 65 cohesion plan 1 239 412.51439 0.1410029499 0.038461538
#> 66 consensus plan 1 2505 1540.29711 0.3957971243 0.403121983
#> 67 coregulate plan 1 471 479.44151 0.2390862944 0.075796588
#> 68 discuss plan 1 46 961.56010 0.0116426221 0.007402639
#> 69 emotion plan 1 283 690.44444 0.0997532605 0.045542324
#> 70 monitor plan 1 309 348.75111 0.2156315422 0.049726424
#> 71 plan plan 1 2304 1498.43724 0.3742082183 0.370775668
#> 72 synthesis plan 1 49 158.67810 0.0751533742 0.007885420
#> 73 adapt synthesis 1 0 13.75514 0.0000000000 0.000000000
#> 74 cohesion synthesis 1 6 45.80543 0.0035398230 0.008695652
#> 75 consensus synthesis 1 48 171.03396 0.0075841365 0.069565217
#> 76 coregulate synthesis 1 37 53.23699 0.0187817259 0.053623188
#> 77 discuss synthesis 1 557 106.77124 0.1409769679 0.807246377
#> 78 emotion synthesis 1 8 76.66667 0.0028198802 0.011594203
#> 79 monitor synthesis 1 23 38.72518 0.0160502442 0.033333333
#> 80 plan synthesis 1 11 166.38585 0.0017865844 0.015942029
#> 81 synthesis synthesis 1 0 17.61955 0.0000000000 0.000000000
#> adj_res p yules_q kappa kappa_z kappa_p
#> 1 -3.3211717 8.964036e-04 -1.00000000 -1.000000000 -3.4072406 6.562326e-04
#> 2 -5.3287770 9.887630e-08 -0.76815515 -0.864876139 -5.5016095 3.763398e-08
#> 3 -10.3214699 5.635375e-25 -0.69808622 -0.780644891 -10.6269957 2.231867e-26
#> 4 -1.4741101 1.404520e-01 -0.13431040 -0.254405161 -1.7529330 7.961350e-02
#> 5 24.2317649 1.029539e-129 0.73632074 0.418980176 23.2623644 1.066476e-119
#> 6 -7.2563320 3.977281e-13 -0.81051007 -0.886865076 -7.4770534 7.600754e-14
#> 7 -2.6297497 8.544776e-03 -0.31830027 -0.475476982 -2.7290490 6.351727e-03
#> 8 -12.5118247 6.432933e-36 -0.93232010 -0.954976395 -12.7792050 2.142483e-37
#> 9 38.7658830 0.000000e+00 0.90419397 0.256487056 36.9796105 2.435758e-299
#> 10 18.7214591 3.309601e-78 0.69595780 0.197287276 17.5341578 7.860557e-69
#> 11 -6.8283709 8.588429e-12 -0.46004781 -0.625503375 -7.4284559 1.098727e-13
#> 12 -19.1996809 3.723726e-82 -0.71939250 -0.792946589 -20.1527336 2.546563e-90
#> 13 -5.7625189 8.286776e-09 -0.33555110 -0.501644450 -6.4531011 1.095842e-10
#> 14 -5.3770830 7.570229e-08 -0.20862594 -0.340359956 -6.4704249 9.772769e-11
#> 15 58.1953875 0.000000e+00 0.85999151 0.439279624 54.9949554 0.000000e+00
#> 16 -1.7822132 7.471448e-02 -0.10446943 -0.209935421 -2.2495756 2.447590e-02
#> 17 -15.1412832 8.650916e-52 -0.54521777 -0.649612384 -16.2292534 3.132462e-59
#> 18 -3.4634548 5.332862e-04 -0.35374869 -0.548178432 -4.0130982 5.992696e-05
#> 19 12.0066636 3.278050e-33 0.47618556 0.254617530 10.5743333 3.919551e-26
#> 20 24.4702565 3.063603e-132 0.53350656 0.281594081 21.8333946 1.118017e-105
#> 21 -35.4977548 5.323515e-276 -0.66124843 -0.690695419 -37.5662411 7.651900e-309
#> 22 -12.2716544 1.285985e-34 -0.38450860 -0.496741309 -13.6748909 1.434222e-42
#> 23 11.3359759 8.705623e-30 0.20921222 0.067094752 8.3274445 8.260609e-17
#> 24 9.2658532 1.935238e-20 0.19624970 0.064719493 6.6507395 2.916241e-11
#> 25 -8.1347706 4.127192e-16 -0.28754940 -0.390783145 -8.9613170 3.208234e-19
#> 26 8.5266570 1.506377e-17 0.13857046 0.030673080 5.0029998 5.644499e-07
#> 27 12.9614865 2.022890e-38 0.46093598 0.225912682 10.7976018 3.533111e-27
#> 28 -5.0188376 5.198507e-07 -0.60882735 -0.743701774 -5.1243434 2.985764e-07
#> 29 5.7636516 8.231325e-09 0.22132666 0.035090087 5.3752635 7.647078e-08
#> 30 35.3158137 3.358380e-273 0.64674728 0.411739749 34.5799294 5.061358e-262
#> 31 -9.8823345 4.966221e-23 -0.59867800 -0.721625368 -10.0551328 8.720377e-24
#> 32 0.5559806 5.782241e-01 0.01735217 0.001349645 0.1515363 8.795527e-01
#> 33 -9.8520101 6.718664e-23 -0.46333992 -0.592817323 -10.1071899 5.133562e-24
#> 34 -3.4259149 6.127324e-04 -0.19406423 -0.293289457 -3.4041986 6.635848e-04
#> 35 -21.2793902 1.762194e-100 -0.73440542 -0.793407862 -21.4706064 2.931680e-102
#> 36 -3.5412487 3.982380e-04 -0.32096577 -0.486508630 -3.8579088 1.143613e-04
#> 37 -5.9721275 2.341794e-09 -0.49178012 -0.650584327 -6.6246798 3.480016e-11
#> 38 -11.0894082 1.412188e-28 -0.50087253 -0.645618913 -12.2735611 1.256050e-34
#> 39 8.8216376 1.127978e-18 0.16657595 0.042511858 5.2763463 1.317850e-07
#> 40 15.4162419 1.272999e-53 0.38489574 0.115639630 12.9838558 1.510790e-38
#> 41 7.8771601 3.349058e-15 0.17304750 0.030149486 5.0026347 5.655205e-07
#> 42 -8.0744440 6.778478e-16 -0.25288227 -0.393565899 -9.9162825 3.536845e-23
#> 43 24.0121119 2.078138e-127 0.57333274 0.236566058 22.1254365 1.798889e-108
#> 44 -21.3673394 2.690331e-101 -0.50306997 -0.592758134 -23.7053965 3.172039e-124
#> 45 -6.4954375 8.279245e-11 -0.46653428 -0.637099789 -7.4660477 8.263939e-14
#> 46 0.8261362 4.087268e-01 0.05690472 -0.014109947 -0.1189593 9.053076e-01
#> 47 0.9681845 3.329523e-01 0.03810394 -0.045704762 -0.7193950 4.718976e-01
#> 48 -10.5811769 3.643527e-26 -0.27174124 -0.394032996 -13.2727130 3.332919e-40
#> 49 9.4332273 3.976612e-21 0.28701490 0.053187076 7.2125938 5.489597e-13
#> 50 -0.6086274 5.427715e-01 -0.01708317 -0.122873861 -3.0959286 1.961976e-03
#> 51 -5.7610105 8.361185e-09 -0.20740022 -0.365225038 -7.6190988 2.554530e-14
#> 52 -2.2352747 2.539932e-02 -0.10477842 -0.232192119 -3.2976111 9.751109e-04
#> 53 11.0777299 1.609004e-28 0.23458138 0.070361277 7.3555360 1.901625e-13
#> 54 -3.1607143 1.573828e-03 -0.23691712 -0.435012658 -4.2208199 2.434153e-05
#> 55 -1.5652351 1.175278e-01 -0.19087018 -0.442694293 -2.5408894 1.105709e-02
#> 56 -2.9982873 2.715016e-03 -0.20425402 -0.446954795 -4.7893710 1.673049e-06
#> 57 -0.6361332 5.246896e-01 -0.02175901 -0.211758893 -4.8559888 1.197875e-06
#> 58 8.2486829 1.601497e-16 0.33531696 0.037577701 5.1938752 2.059612e-07
#> 59 -8.2508677 1.572485e-16 -0.41996506 -0.625446066 -10.7282824 7.497680e-27
#> 60 -3.1126152 1.854376e-03 -0.16119431 -0.391659909 -5.5623855 2.661117e-08
#> 61 -5.4541837 4.919832e-08 -0.47926363 -0.688521209 -6.6569943 2.794840e-11
#> 62 11.5470481 7.639963e-31 0.33174607 0.087142440 6.2018210 5.581354e-10
#> 63 -4.3308987 1.485020e-05 -0.61170418 -0.800695643 -5.2889724 1.230055e-07
#> 64 -12.0901329 1.190940e-33 -0.90763463 -0.939968527 -12.5783742 2.776858e-36
#> 65 -10.1646065 2.852717e-24 -0.34161399 -0.459724901 -11.4852982 1.563950e-30
#> 66 32.5840458 6.901601e-233 0.46476603 0.174418148 28.4488535 5.034845e-178
#> 67 -0.4613669 6.445354e-01 -0.01267717 -0.082029275 -2.2198145 2.643136e-02
#> 68 -36.9200534 2.203193e-298 -0.94280770 -0.955183909 -38.1994139 2.879810e-319
#> 69 -18.9077083 9.854735e-80 -0.52298101 -0.617404291 -20.4432987 6.891972e-93
#> 70 -2.5187927 1.177580e-02 -0.08279025 -0.152659318 -3.4412288 5.790786e-04
#> 71 27.4636063 4.779402e-166 0.40569788 0.141326716 23.4500162 1.321402e-121
#> 72 -10.1399786 3.671800e-24 -0.60424280 -0.720573667 -11.0971534 1.295031e-28
#> 73 -3.7979914 1.458734e-04 -1.00000000 -1.000000000 -3.9212524 8.808993e-05
#> 74 -6.1709034 6.790092e-10 -0.78531293 -0.876775936 -6.4186910 1.374511e-10
#> 75 -10.9973436 3.935548e-28 -0.63806313 -0.733283444 -11.4881702 1.512823e-30
#> 76 -2.3484605 1.885120e-02 -0.19649048 -0.344855838 -2.7346326 6.244993e-03
#> 77 48.0463146 0.000000e+00 0.92718439 0.720788868 46.0564491 0.000000e+00
#> 78 -8.4327231 3.377132e-17 -0.83271163 -0.901741332 -8.7493725 2.145424e-18
#> 79 -2.6368789 8.367269e-03 -0.27139592 -0.426999975 -2.8205362 4.794346e-03
#> 80 -14.0191293 1.190665e-44 -0.90606241 -0.937271640 -14.4343980 3.143784e-47
#> 81 -4.3108542 1.626251e-05 -1.00000000 -1.000000000 -4.5128074 6.397511e-06
#> lift sign significant
#> 1 0.00000000 under TRUE
#> 2 0.14184291 under TRUE
#> 3 0.22792580 under TRUE
#> 4 0.78107201 under FALSE
#> 5 3.43201678 over TRUE
#> 6 0.11864407 under TRUE
#> 7 0.53688481 under TRUE
#> 8 0.04685861 under TRUE
#> 9 11.28369034 over TRUE
#> 10 4.05859488 over TRUE
#> 11 0.40333584 under TRUE
#> 12 0.22073512 under TRUE
#> 13 0.53563730 under TRUE
#> 14 0.70717924 under TRUE
#> 15 4.83527357 over TRUE
#> 16 0.82970266 under FALSE
#> 17 0.37414611 under TRUE
#> 18 0.50148018 under TRUE
#> 19 1.91389932 over TRUE
#> 20 1.99619673 over TRUE
#> 21 0.32874780 under TRUE
#> 22 0.53927495 under TRUE
#> 23 1.28761251 over TRUE
#> 24 1.28450306 over TRUE
#> 25 0.63785102 under TRUE
#> 26 1.16420365 over TRUE
#> 27 1.86920349 over TRUE
#> 28 0.26338602 under TRUE
#> 29 1.45244429 over TRUE
#> 30 2.28770048 over TRUE
#> 31 0.28458331 under TRUE
#> 32 1.02720003 over FALSE
#> 33 0.41670644 under TRUE
#> 34 0.70591063 under TRUE
#> 35 0.20982369 under TRUE
#> 36 0.54208604 under TRUE
#> 37 0.38429314 under TRUE
#> 38 0.38851772 under TRUE
#> 39 1.22594512 over TRUE
#> 40 1.78394599 over TRUE
#> 41 1.27069950 over TRUE
#> 42 0.66419816 under TRUE
#> 43 2.44790888 over TRUE
#> 44 0.44265593 under TRUE
#> 45 0.41001092 under TRUE
#> 46 1.10387697 over FALSE
#> 47 1.06511129 over FALSE
#> 48 0.66947036 under TRUE
#> 49 1.58504681 over TRUE
#> 50 0.97449109 under FALSE
#> 51 0.70779221 under TRUE
#> 52 0.83561414 under TRUE
#> 53 1.35240851 over TRUE
#> 54 0.64985858 under TRUE
#> 55 0.69443982 under FALSE
#> 56 0.68694474 under TRUE
#> 57 0.96914866 under FALSE
#> 58 1.79426330 over TRUE
#> 59 0.46310463 under TRUE
#> 60 0.75488599 under TRUE
#> 61 0.37725121 under TRUE
#> 62 1.57031680 over TRUE
#> 63 0.25512080 under TRUE
#> 64 0.06458071 under TRUE
#> 65 0.57937372 under TRUE
#> 66 1.62630962 over TRUE
#> 67 0.98239304 under FALSE
#> 68 0.04783892 under TRUE
#> 69 0.40988091 under TRUE
#> 70 0.88601869 under TRUE
#> 71 1.53760194 over TRUE
#> 72 0.30880127 under TRUE
#> 73 0.00000000 under TRUE
#> 74 0.13098884 under TRUE
#> 75 0.28064603 under TRUE
#> 76 0.69500552 under TRUE
#> 77 5.21676075 over TRUE
#> 78 0.10434783 under TRUE
#> 79 0.59392882 under TRUE
#> 80 0.06611139 under TRUE
#> 81 0.00000000 under TRUE
transitions(fit, significant = TRUE) # significant ones
#> from to lag count expected prob prob_col
#> 1 adapt adapt 1 0 10.58548 0.0000000000 0.000000000
#> 2 cohesion adapt 1 5 35.25026 0.0029498525 0.009416196
#> 3 consensus adapt 1 30 131.62178 0.0047400853 0.056497175
#> 4 discuss adapt 1 282 82.16743 0.0713743356 0.531073446
#> 5 emotion adapt 1 7 59.00000 0.0024673951 0.013182674
#> 6 monitor adapt 1 16 29.80155 0.0111653873 0.030131827
#> 7 plan adapt 1 6 128.04477 0.0009745006 0.011299435
#> 8 synthesis adapt 1 153 13.55939 0.2346625767 0.288135593
#> 9 adapt cohesion 1 139 34.24831 0.2730844794 0.080908033
#> 10 cohesion cohesion 1 46 114.04888 0.0271386431 0.026775320
#> 11 consensus cohesion 1 94 425.84976 0.0148522673 0.054714785
#> 12 coregulate cohesion 1 71 132.55238 0.0360406091 0.041327125
#> 13 discuss cohesion 1 188 265.84491 0.0475828904 0.109429569
#> 14 emotion cohesion 1 923 190.88889 0.3253436729 0.537252619
#> 15 plan cohesion 1 155 414.27666 0.0251745980 0.090221187
#> 16 synthesis cohesion 1 22 43.87013 0.0337423313 0.012805588
#> 17 adapt consensus 1 243 126.96593 0.4774066798 0.038153556
#> 18 cohesion consensus 1 844 422.80402 0.4979351032 0.132516879
#> 19 consensus consensus 1 519 1578.71778 0.0820034761 0.081488460
#> 20 coregulate consensus 1 265 491.40054 0.1345177665 0.041607788
#> 21 discuss consensus 1 1269 985.54494 0.3211845103 0.199246350
#> 22 emotion consensus 1 909 707.66667 0.3204088826 0.142722562
#> 23 monitor consensus 1 228 357.45024 0.1591067690 0.035798398
#> 24 plan consensus 1 1788 1535.81377 0.2904011694 0.280734809
#> 25 synthesis consensus 1 304 162.63612 0.4662576687 0.047731198
#> 26 adapt coregulate 1 11 41.76380 0.0216110020 0.005250597
#> 27 cohesion coregulate 1 202 139.07590 0.1191740413 0.096420048
#> 28 consensus coregulate 1 1188 519.29875 0.1877073787 0.567064439
#> 29 coregulate coregulate 1 46 161.63984 0.0233502538 0.021957041
#> 30 emotion coregulate 1 97 232.77778 0.0341910469 0.046300716
#> 31 monitor coregulate 1 83 117.57862 0.0579204466 0.039618138
#> 32 plan coregulate 1 106 505.18603 0.0172161767 0.050596659
#> 33 synthesis coregulate 1 29 53.49704 0.0444785276 0.013842482
#> 34 adapt discuss 1 30 78.06541 0.0589390963 0.007660878
#> 35 cohesion discuss 1 101 259.96240 0.0595870206 0.025791624
#> 36 consensus discuss 1 1190 970.67967 0.1880233844 0.303881512
#> 37 coregulate discuss 1 539 302.13919 0.2736040609 0.137640449
#> 38 discuss discuss 1 770 605.96546 0.1948873703 0.196629213
#> 39 emotion discuss 1 289 435.11111 0.1018681706 0.073799796
#> 40 monitor discuss 1 538 219.77942 0.3754361479 0.137385087
#> 41 plan discuss 1 418 944.30000 0.0678902063 0.106741573
#> 42 synthesis discuss 1 41 99.99734 0.0628834356 0.010469867
#> 43 consensus emotion 1 460 687.11033 0.0726813083 0.165945166
#> 44 coregulate emotion 1 339 213.87381 0.1720812183 0.122294372
#> 45 emotion emotion 1 218 308.00000 0.0768417342 0.078643579
#> 46 monitor emotion 1 130 155.57420 0.0907187718 0.046897547
#> 47 plan emotion 1 904 668.43708 0.1468247523 0.326118326
#> 48 synthesis emotion 1 46 70.78463 0.0705521472 0.016594517
#> 49 cohesion monitor 1 56 81.52039 0.0330383481 0.045602606
#> 50 coregulate monitor 1 170 94.74641 0.0862944162 0.138436482
#> 51 discuss monitor 1 88 190.02185 0.0222728423 0.071661238
#> 52 emotion monitor 1 103 136.44444 0.0363059570 0.083876221
#> 53 monitor monitor 1 26 68.91959 0.0181437544 0.021172638
#> 54 plan monitor 1 465 296.11859 0.0755237941 0.378664495
#> 55 synthesis monitor 1 8 31.35769 0.0122699387 0.006514658
#> 56 adapt plan 1 8 123.87600 0.0157170923 0.001287416
#> 57 cohesion plan 1 239 412.51439 0.1410029499 0.038461538
#> 58 consensus plan 1 2505 1540.29711 0.3957971243 0.403121983
#> 59 discuss plan 1 46 961.56010 0.0116426221 0.007402639
#> 60 emotion plan 1 283 690.44444 0.0997532605 0.045542324
#> 61 monitor plan 1 309 348.75111 0.2156315422 0.049726424
#> 62 plan plan 1 2304 1498.43724 0.3742082183 0.370775668
#> 63 synthesis plan 1 49 158.67810 0.0751533742 0.007885420
#> 64 adapt synthesis 1 0 13.75514 0.0000000000 0.000000000
#> 65 cohesion synthesis 1 6 45.80543 0.0035398230 0.008695652
#> 66 consensus synthesis 1 48 171.03396 0.0075841365 0.069565217
#> 67 coregulate synthesis 1 37 53.23699 0.0187817259 0.053623188
#> 68 discuss synthesis 1 557 106.77124 0.1409769679 0.807246377
#> 69 emotion synthesis 1 8 76.66667 0.0028198802 0.011594203
#> 70 monitor synthesis 1 23 38.72518 0.0160502442 0.033333333
#> 71 plan synthesis 1 11 166.38585 0.0017865844 0.015942029
#> 72 synthesis synthesis 1 0 17.61955 0.0000000000 0.000000000
#> adj_res p yules_q kappa kappa_z kappa_p
#> 1 -3.321172 8.964036e-04 -1.00000000 -1.00000000 -3.407241 6.562326e-04
#> 2 -5.328777 9.887630e-08 -0.76815515 -0.86487614 -5.501609 3.763398e-08
#> 3 -10.321470 5.635375e-25 -0.69808622 -0.78064489 -10.626996 2.231867e-26
#> 4 24.231765 1.029539e-129 0.73632074 0.41898018 23.262364 1.066476e-119
#> 5 -7.256332 3.977281e-13 -0.81051007 -0.88686508 -7.477053 7.600754e-14
#> 6 -2.629750 8.544776e-03 -0.31830027 -0.47547698 -2.729049 6.351727e-03
#> 7 -12.511825 6.432933e-36 -0.93232010 -0.95497640 -12.779205 2.142483e-37
#> 8 38.765883 0.000000e+00 0.90419397 0.25648706 36.979611 2.435758e-299
#> 9 18.721459 3.309601e-78 0.69595780 0.19728728 17.534158 7.860557e-69
#> 10 -6.828371 8.588429e-12 -0.46004781 -0.62550338 -7.428456 1.098727e-13
#> 11 -19.199681 3.723726e-82 -0.71939250 -0.79294659 -20.152734 2.546563e-90
#> 12 -5.762519 8.286776e-09 -0.33555110 -0.50164445 -6.453101 1.095842e-10
#> 13 -5.377083 7.570229e-08 -0.20862594 -0.34035996 -6.470425 9.772769e-11
#> 14 58.195387 0.000000e+00 0.85999151 0.43927962 54.994955 0.000000e+00
#> 15 -15.141283 8.650916e-52 -0.54521777 -0.64961238 -16.229253 3.132462e-59
#> 16 -3.463455 5.332862e-04 -0.35374869 -0.54817843 -4.013098 5.992696e-05
#> 17 12.006664 3.278050e-33 0.47618556 0.25461753 10.574333 3.919551e-26
#> 18 24.470257 3.063603e-132 0.53350656 0.28159408 21.833395 1.118017e-105
#> 19 -35.497755 5.323515e-276 -0.66124843 -0.69069542 -37.566241 7.651900e-309
#> 20 -12.271654 1.285985e-34 -0.38450860 -0.49674131 -13.674891 1.434222e-42
#> 21 11.335976 8.705623e-30 0.20921222 0.06709475 8.327445 8.260609e-17
#> 22 9.265853 1.935238e-20 0.19624970 0.06471949 6.650739 2.916241e-11
#> 23 -8.134771 4.127192e-16 -0.28754940 -0.39078314 -8.961317 3.208234e-19
#> 24 8.526657 1.506377e-17 0.13857046 0.03067308 5.003000 5.644499e-07
#> 25 12.961486 2.022890e-38 0.46093598 0.22591268 10.797602 3.533111e-27
#> 26 -5.018838 5.198507e-07 -0.60882735 -0.74370177 -5.124343 2.985764e-07
#> 27 5.763652 8.231325e-09 0.22132666 0.03509009 5.375263 7.647078e-08
#> 28 35.315814 3.358380e-273 0.64674728 0.41173975 34.579929 5.061358e-262
#> 29 -9.882335 4.966221e-23 -0.59867800 -0.72162537 -10.055133 8.720377e-24
#> 30 -9.852010 6.718664e-23 -0.46333992 -0.59281732 -10.107190 5.133562e-24
#> 31 -3.425915 6.127324e-04 -0.19406423 -0.29328946 -3.404199 6.635848e-04
#> 32 -21.279390 1.762194e-100 -0.73440542 -0.79340786 -21.470606 2.931680e-102
#> 33 -3.541249 3.982380e-04 -0.32096577 -0.48650863 -3.857909 1.143613e-04
#> 34 -5.972127 2.341794e-09 -0.49178012 -0.65058433 -6.624680 3.480016e-11
#> 35 -11.089408 1.412188e-28 -0.50087253 -0.64561891 -12.273561 1.256050e-34
#> 36 8.821638 1.127978e-18 0.16657595 0.04251186 5.276346 1.317850e-07
#> 37 15.416242 1.272999e-53 0.38489574 0.11563963 12.983856 1.510790e-38
#> 38 7.877160 3.349058e-15 0.17304750 0.03014949 5.002635 5.655205e-07
#> 39 -8.074444 6.778478e-16 -0.25288227 -0.39356590 -9.916283 3.536845e-23
#> 40 24.012112 2.078138e-127 0.57333274 0.23656606 22.125436 1.798889e-108
#> 41 -21.367339 2.690331e-101 -0.50306997 -0.59275813 -23.705396 3.172039e-124
#> 42 -6.495438 8.279245e-11 -0.46653428 -0.63709979 -7.466048 8.263939e-14
#> 43 -10.581177 3.643527e-26 -0.27174124 -0.39403300 -13.272713 3.332919e-40
#> 44 9.433227 3.976612e-21 0.28701490 0.05318708 7.212594 5.489597e-13
#> 45 -5.761010 8.361185e-09 -0.20740022 -0.36522504 -7.619099 2.554530e-14
#> 46 -2.235275 2.539932e-02 -0.10477842 -0.23219212 -3.297611 9.751109e-04
#> 47 11.077730 1.609004e-28 0.23458138 0.07036128 7.355536 1.901625e-13
#> 48 -3.160714 1.573828e-03 -0.23691712 -0.43501266 -4.220820 2.434153e-05
#> 49 -2.998287 2.715016e-03 -0.20425402 -0.44695480 -4.789371 1.673049e-06
#> 50 8.248683 1.601497e-16 0.33531696 0.03757770 5.193875 2.059612e-07
#> 51 -8.250868 1.572485e-16 -0.41996506 -0.62544607 -10.728282 7.497680e-27
#> 52 -3.112615 1.854376e-03 -0.16119431 -0.39165991 -5.562385 2.661117e-08
#> 53 -5.454184 4.919832e-08 -0.47926363 -0.68852121 -6.656994 2.794840e-11
#> 54 11.547048 7.639963e-31 0.33174607 0.08714244 6.201821 5.581354e-10
#> 55 -4.330899 1.485020e-05 -0.61170418 -0.80069564 -5.288972 1.230055e-07
#> 56 -12.090133 1.190940e-33 -0.90763463 -0.93996853 -12.578374 2.776858e-36
#> 57 -10.164606 2.852717e-24 -0.34161399 -0.45972490 -11.485298 1.563950e-30
#> 58 32.584046 6.901601e-233 0.46476603 0.17441815 28.448854 5.034845e-178
#> 59 -36.920053 2.203193e-298 -0.94280770 -0.95518391 -38.199414 2.879810e-319
#> 60 -18.907708 9.854735e-80 -0.52298101 -0.61740429 -20.443299 6.891972e-93
#> 61 -2.518793 1.177580e-02 -0.08279025 -0.15265932 -3.441229 5.790786e-04
#> 62 27.463606 4.779402e-166 0.40569788 0.14132672 23.450016 1.321402e-121
#> 63 -10.139979 3.671800e-24 -0.60424280 -0.72057367 -11.097153 1.295031e-28
#> 64 -3.797991 1.458734e-04 -1.00000000 -1.00000000 -3.921252 8.808993e-05
#> 65 -6.170903 6.790092e-10 -0.78531293 -0.87677594 -6.418691 1.374511e-10
#> 66 -10.997344 3.935548e-28 -0.63806313 -0.73328344 -11.488170 1.512823e-30
#> 67 -2.348460 1.885120e-02 -0.19649048 -0.34485584 -2.734633 6.244993e-03
#> 68 48.046315 0.000000e+00 0.92718439 0.72078887 46.056449 0.000000e+00
#> 69 -8.432723 3.377132e-17 -0.83271163 -0.90174133 -8.749372 2.145424e-18
#> 70 -2.636879 8.367269e-03 -0.27139592 -0.42699997 -2.820536 4.794346e-03
#> 71 -14.019129 1.190665e-44 -0.90606241 -0.93727164 -14.434398 3.143784e-47
#> 72 -4.310854 1.626251e-05 -1.00000000 -1.00000000 -4.512807 6.397511e-06
#> lift sign significant
#> 1 0.00000000 under TRUE
#> 2 0.14184291 under TRUE
#> 3 0.22792580 under TRUE
#> 4 3.43201678 over TRUE
#> 5 0.11864407 under TRUE
#> 6 0.53688481 under TRUE
#> 7 0.04685861 under TRUE
#> 8 11.28369034 over TRUE
#> 9 4.05859488 over TRUE
#> 10 0.40333584 under TRUE
#> 11 0.22073512 under TRUE
#> 12 0.53563730 under TRUE
#> 13 0.70717924 under TRUE
#> 14 4.83527357 over TRUE
#> 15 0.37414611 under TRUE
#> 16 0.50148018 under TRUE
#> 17 1.91389932 over TRUE
#> 18 1.99619673 over TRUE
#> 19 0.32874780 under TRUE
#> 20 0.53927495 under TRUE
#> 21 1.28761251 over TRUE
#> 22 1.28450306 over TRUE
#> 23 0.63785102 under TRUE
#> 24 1.16420365 over TRUE
#> 25 1.86920349 over TRUE
#> 26 0.26338602 under TRUE
#> 27 1.45244429 over TRUE
#> 28 2.28770048 over TRUE
#> 29 0.28458331 under TRUE
#> 30 0.41670644 under TRUE
#> 31 0.70591063 under TRUE
#> 32 0.20982369 under TRUE
#> 33 0.54208604 under TRUE
#> 34 0.38429314 under TRUE
#> 35 0.38851772 under TRUE
#> 36 1.22594512 over TRUE
#> 37 1.78394599 over TRUE
#> 38 1.27069950 over TRUE
#> 39 0.66419816 under TRUE
#> 40 2.44790888 over TRUE
#> 41 0.44265593 under TRUE
#> 42 0.41001092 under TRUE
#> 43 0.66947036 under TRUE
#> 44 1.58504681 over TRUE
#> 45 0.70779221 under TRUE
#> 46 0.83561414 under TRUE
#> 47 1.35240851 over TRUE
#> 48 0.64985858 under TRUE
#> 49 0.68694474 under TRUE
#> 50 1.79426330 over TRUE
#> 51 0.46310463 under TRUE
#> 52 0.75488599 under TRUE
#> 53 0.37725121 under TRUE
#> 54 1.57031680 over TRUE
#> 55 0.25512080 under TRUE
#> 56 0.06458071 under TRUE
#> 57 0.57937372 under TRUE
#> 58 1.62630962 over TRUE
#> 59 0.04783892 under TRUE
#> 60 0.40988091 under TRUE
#> 61 0.88601869 under TRUE
#> 62 1.53760194 over TRUE
#> 63 0.30880127 under TRUE
#> 64 0.00000000 under TRUE
#> 65 0.13098884 under TRUE
#> 66 0.28064603 under TRUE
#> 67 0.69500552 under TRUE
#> 68 5.21676075 over TRUE
#> 69 0.10434783 under TRUE
#> 70 0.59392882 under TRUE
#> 71 0.06611139 under TRUE
#> 72 0.00000000 under TRUE
transitions(fit, direction = "over") # over-represented
#> from to lag count expected prob prob_col adj_res
#> 1 discuss adapt 1 282 82.16743 0.07137434 0.53107345 24.231765
#> 2 synthesis adapt 1 153 13.55939 0.23466258 0.28813559 38.765883
#> 3 adapt cohesion 1 139 34.24831 0.27308448 0.08090803 18.721459
#> 4 emotion cohesion 1 923 190.88889 0.32534367 0.53725262 58.195387
#> 5 adapt consensus 1 243 126.96593 0.47740668 0.03815356 12.006664
#> 6 cohesion consensus 1 844 422.80402 0.49793510 0.13251688 24.470257
#> 7 discuss consensus 1 1269 985.54494 0.32118451 0.19924635 11.335976
#> 8 emotion consensus 1 909 707.66667 0.32040888 0.14272256 9.265853
#> 9 plan consensus 1 1788 1535.81377 0.29040117 0.28073481 8.526657
#> 10 synthesis consensus 1 304 162.63612 0.46625767 0.04773120 12.961486
#> 11 cohesion coregulate 1 202 139.07590 0.11917404 0.09642005 5.763652
#> 12 consensus coregulate 1 1188 519.29875 0.18770738 0.56706444 35.315814
#> 13 consensus discuss 1 1190 970.67967 0.18802338 0.30388151 8.821638
#> 14 coregulate discuss 1 539 302.13919 0.27360406 0.13764045 15.416242
#> 15 discuss discuss 1 770 605.96546 0.19488737 0.19662921 7.877160
#> 16 monitor discuss 1 538 219.77942 0.37543615 0.13738509 24.012112
#> 17 coregulate emotion 1 339 213.87381 0.17208122 0.12229437 9.433227
#> 18 plan emotion 1 904 668.43708 0.14682475 0.32611833 11.077730
#> 19 coregulate monitor 1 170 94.74641 0.08629442 0.13843648 8.248683
#> 20 plan monitor 1 465 296.11859 0.07552379 0.37866450 11.547048
#> 21 consensus plan 1 2505 1540.29711 0.39579712 0.40312198 32.584046
#> 22 plan plan 1 2304 1498.43724 0.37420822 0.37077567 27.463606
#> 23 discuss synthesis 1 557 106.77124 0.14097697 0.80724638 48.046315
#> p yules_q kappa kappa_z kappa_p lift sign
#> 1 1.029539e-129 0.7363207 0.41898018 23.262364 1.066476e-119 3.432017 over
#> 2 0.000000e+00 0.9041940 0.25648706 36.979611 2.435758e-299 11.283690 over
#> 3 3.309601e-78 0.6959578 0.19728728 17.534158 7.860557e-69 4.058595 over
#> 4 0.000000e+00 0.8599915 0.43927962 54.994955 0.000000e+00 4.835274 over
#> 5 3.278050e-33 0.4761856 0.25461753 10.574333 3.919551e-26 1.913899 over
#> 6 3.063603e-132 0.5335066 0.28159408 21.833395 1.118017e-105 1.996197 over
#> 7 8.705623e-30 0.2092122 0.06709475 8.327445 8.260609e-17 1.287613 over
#> 8 1.935238e-20 0.1962497 0.06471949 6.650739 2.916241e-11 1.284503 over
#> 9 1.506377e-17 0.1385705 0.03067308 5.003000 5.644499e-07 1.164204 over
#> 10 2.022890e-38 0.4609360 0.22591268 10.797602 3.533111e-27 1.869203 over
#> 11 8.231325e-09 0.2213267 0.03509009 5.375263 7.647078e-08 1.452444 over
#> 12 3.358380e-273 0.6467473 0.41173975 34.579929 5.061358e-262 2.287700 over
#> 13 1.127978e-18 0.1665760 0.04251186 5.276346 1.317850e-07 1.225945 over
#> 14 1.272999e-53 0.3848957 0.11563963 12.983856 1.510790e-38 1.783946 over
#> 15 3.349058e-15 0.1730475 0.03014949 5.002635 5.655205e-07 1.270699 over
#> 16 2.078138e-127 0.5733327 0.23656606 22.125436 1.798889e-108 2.447909 over
#> 17 3.976612e-21 0.2870149 0.05318708 7.212594 5.489597e-13 1.585047 over
#> 18 1.609004e-28 0.2345814 0.07036128 7.355536 1.901625e-13 1.352409 over
#> 19 1.601497e-16 0.3353170 0.03757770 5.193875 2.059612e-07 1.794263 over
#> 20 7.639963e-31 0.3317461 0.08714244 6.201821 5.581354e-10 1.570317 over
#> 21 6.901601e-233 0.4647660 0.17441815 28.448854 5.034845e-178 1.626310 over
#> 22 4.779402e-166 0.4056979 0.14132672 23.450016 1.321402e-121 1.537602 over
#> 23 0.000000e+00 0.9271844 0.72078887 46.056449 0.000000e+00 5.216761 over
#> significant
#> 1 TRUE
#> 2 TRUE
#> 3 TRUE
#> 4 TRUE
#> 5 TRUE
#> 6 TRUE
#> 7 TRUE
#> 8 TRUE
#> 9 TRUE
#> 10 TRUE
#> 11 TRUE
#> 12 TRUE
#> 13 TRUE
#> 14 TRUE
#> 15 TRUE
#> 16 TRUE
#> 17 TRUE
#> 18 TRUE
#> 19 TRUE
#> 20 TRUE
#> 21 TRUE
#> 22 TRUE
#> 23 TRUE
transitions(fit, min_count = 500) # frequently observed
#> from to lag count expected prob prob_col adj_res
#> 1 emotion cohesion 1 923 190.8889 0.32534367 0.53725262 58.195387
#> 2 cohesion consensus 1 844 422.8040 0.49793510 0.13251688 24.470257
#> 3 consensus consensus 1 519 1578.7178 0.08200348 0.08148846 -35.497755
#> 4 discuss consensus 1 1269 985.5449 0.32118451 0.19924635 11.335976
#> 5 emotion consensus 1 909 707.6667 0.32040888 0.14272256 9.265853
#> 6 plan consensus 1 1788 1535.8138 0.29040117 0.28073481 8.526657
#> 7 consensus coregulate 1 1188 519.2988 0.18770738 0.56706444 35.315814
#> 8 consensus discuss 1 1190 970.6797 0.18802338 0.30388151 8.821638
#> 9 coregulate discuss 1 539 302.1392 0.27360406 0.13764045 15.416242
#> 10 discuss discuss 1 770 605.9655 0.19488737 0.19662921 7.877160
#> 11 monitor discuss 1 538 219.7794 0.37543615 0.13738509 24.012112
#> 12 plan emotion 1 904 668.4371 0.14682475 0.32611833 11.077730
#> 13 consensus plan 1 2505 1540.2971 0.39579712 0.40312198 32.584046
#> 14 plan plan 1 2304 1498.4372 0.37420822 0.37077567 27.463606
#> 15 discuss synthesis 1 557 106.7712 0.14097697 0.80724638 48.046315
#> p yules_q kappa kappa_z kappa_p lift
#> 1 0.000000e+00 0.8599915 0.43927962 54.994955 0.000000e+00 4.8352736
#> 2 3.063603e-132 0.5335066 0.28159408 21.833395 1.118017e-105 1.9961967
#> 3 5.323515e-276 -0.6612484 -0.69069542 -37.566241 7.651900e-309 0.3287478
#> 4 8.705623e-30 0.2092122 0.06709475 8.327445 8.260609e-17 1.2876125
#> 5 1.935238e-20 0.1962497 0.06471949 6.650739 2.916241e-11 1.2845031
#> 6 1.506377e-17 0.1385705 0.03067308 5.003000 5.644499e-07 1.1642037
#> 7 3.358380e-273 0.6467473 0.41173975 34.579929 5.061358e-262 2.2877005
#> 8 1.127978e-18 0.1665760 0.04251186 5.276346 1.317850e-07 1.2259451
#> 9 1.272999e-53 0.3848957 0.11563963 12.983856 1.510790e-38 1.7839460
#> 10 3.349058e-15 0.1730475 0.03014949 5.002635 5.655205e-07 1.2706995
#> 11 2.078138e-127 0.5733327 0.23656606 22.125436 1.798889e-108 2.4479089
#> 12 1.609004e-28 0.2345814 0.07036128 7.355536 1.901625e-13 1.3524085
#> 13 6.901601e-233 0.4647660 0.17441815 28.448854 5.034845e-178 1.6263096
#> 14 4.779402e-166 0.4056979 0.14132672 23.450016 1.321402e-121 1.5376019
#> 15 0.000000e+00 0.9271844 0.72078887 46.056449 0.000000e+00 5.2167608
#> sign significant
#> 1 over TRUE
#> 2 over TRUE
#> 3 under TRUE
#> 4 over TRUE
#> 5 over TRUE
#> 6 over TRUE
#> 7 over TRUE
#> 8 over TRUE
#> 9 over TRUE
#> 10 over TRUE
#> 11 over TRUE
#> 12 over TRUE
#> 13 over TRUE
#> 14 over TRUE
#> 15 over TRUE
transitions(certainty_lsa(fit)) # analytic CIs per edge
#> from to observed prob_observed prob_mean prob_se
#> 1 adapt adapt 0 0.0000000000 0.0009737098 0.0013750249
#> 2 cohesion adapt 5 0.0029498525 0.0032362460 0.0013773000
#> 3 consensus adapt 30 0.0047400853 0.0048156627 0.0008698085
#> 4 coregulate adapt 32 0.0162436548 0.0164598633 0.0028626657
#> 5 discuss adapt 282 0.0713743356 0.0714195424 0.0040941403
#> 6 emotion adapt 7 0.0024673951 0.0026394510 0.0009623491
#> 7 monitor adapt 16 0.0111653873 0.0114782609 0.0028085116
#> 8 plan adapt 6 0.0009745006 0.0010549379 0.0004135288
#> 9 synthesis adapt 153 0.2346625767 0.2338156893 0.0165065219
#> 10 adapt cohesion 139 0.2730844794 0.2716650438 0.0196105497
#> 11 cohesion cohesion 46 0.0271386431 0.0273609885 0.0039559739
#> 12 consensus cohesion 94 0.0148522673 0.0149206600 0.0015232579
#> 13 coregulate cohesion 71 0.0360406091 0.0362116992 0.0042031681
#> 14 discuss cohesion 188 0.0475828904 0.0476551637 0.0033868543
#> 15 emotion cohesion 923 0.3253436729 0.3250043991 0.0087850625
#> 16 monitor cohesion 80 0.0558269365 0.0560000000 0.0060621277
#> 17 plan cohesion 155 0.0251745980 0.0252373610 0.0019979883
#> 18 synthesis cohesion 22 0.0337423313 0.0342726580 0.0070950144
#> 19 adapt consensus 243 0.4774066798 0.4741966894 0.0220139628
#> 20 cohesion consensus 844 0.4979351032 0.4969108561 0.0121247669
#> 21 consensus consensus 519 0.0820034761 0.0820241573 0.0034477070
#> 22 coregulate consensus 265 0.1345177665 0.1344644214 0.0076755170
#> 23 discuss consensus 1269 0.3211845103 0.3209455189 0.0074218536
#> 24 emotion consensus 909 0.3204088826 0.3200774239 0.0087499791
#> 25 monitor consensus 228 0.1591067690 0.1589565217 0.0096403648
#> 26 plan consensus 1788 0.2904011694 0.2902702264 0.0057818829
#> 27 synthesis consensus 304 0.4662576687 0.4638233054 0.0194483325
#> 28 adapt coregulate 11 0.0216110020 0.0223953262 0.0065233043
#> 29 cohesion coregulate 202 0.1191740413 0.1191526920 0.0078562253
#> 30 consensus coregulate 1188 0.1877073787 0.1876529565 0.0049056023
#> 31 coregulate coregulate 46 0.0233502538 0.0235502659 0.0034118061
#> 32 discuss coregulate 333 0.0842824601 0.0843129819 0.0044173841
#> 33 emotion coregulate 97 0.0341910469 0.0343128629 0.0034142590
#> 34 monitor coregulate 83 0.0579204466 0.0580869565 0.0061672249
#> 35 plan coregulate 106 0.0172161767 0.0172847521 0.0016602250
#> 36 synthesis coregulate 29 0.0444785276 0.0449352628 0.0080790849
#> 37 adapt discuss 30 0.0589390963 0.0593962999 0.0104205429
#> 38 cohesion discuss 101 0.0595870206 0.0597234481 0.0057466126
#> 39 consensus discuss 1190 0.1880233844 0.1879687377 0.0049087738
#> 40 coregulate discuss 539 0.2736040609 0.2732337301 0.0100259612
#> 41 discuss discuss 770 0.1948873703 0.1947920617 0.0062962805
#> 42 emotion discuss 289 0.1018681706 0.1018828084 0.0056737046
#> 43 monitor discuss 538 0.3754361479 0.3746086957 0.0127617406
#> 44 plan discuss 418 0.0678902063 0.0679217723 0.0032051785
#> 45 synthesis discuss 41 0.0628834356 0.0632140137 0.0094902794
#> 46 adapt emotion 61 0.1198428291 0.1197663096 0.0143144161
#> 47 cohesion emotion 196 0.1156342183 0.1156222418 0.0077544550
#> 48 consensus emotion 460 0.0726813083 0.0727086129 0.0032624576
#> 49 coregulate emotion 339 0.1720812183 0.1719422639 0.0084895195
#> 50 discuss emotion 418 0.1057960010 0.1058020478 0.0048899936
#> 51 emotion emotion 218 0.0768417342 0.0768960056 0.0049972027
#> 52 monitor emotion 130 0.0907187718 0.0907826087 0.0075749586
#> 53 plan emotion 904 0.1468247523 0.1467986692 0.0045082538
#> 54 synthesis emotion 46 0.0705521472 0.0708301599 0.0100048086
#> 55 adapt monitor 17 0.0333988212 0.0340798442 0.0079988348
#> 56 cohesion monitor 56 0.0330383481 0.0332450721 0.0043474392
#> 57 consensus monitor 295 0.0466108390 0.0466566669 0.0026498748
#> 58 coregulate monitor 170 0.0862944162 0.0863509749 0.0063195303
#> 59 discuss monitor 88 0.0222728423 0.0223739097 0.0023512659
#> 60 emotion monitor 103 0.0363059570 0.0364244237 0.0035138968
#> 61 monitor monitor 26 0.0181437544 0.0184347826 0.0035466935
#> 62 plan monitor 465 0.0755237941 0.0755497850 0.0033665100
#> 63 synthesis monitor 8 0.0122699387 0.0129474486 0.0044087387
#> 64 adapt plan 8 0.0157170923 0.0165530672 0.0056249934
#> 65 cohesion plan 239 0.1410029499 0.1409238011 0.0084376149
#> 66 consensus plan 2505 0.3957971243 0.3955948528 0.0061437456
#> 67 coregulate plan 471 0.2390862944 0.2387946316 0.0095923426
#> 68 discuss plan 46 0.0116426221 0.0117557831 0.0017135719
#> 69 emotion plan 283 0.0997532605 0.0997712476 0.0056211983
#> 70 monitor plan 309 0.2156315422 0.2153043478 0.0108373248
#> 71 plan plan 2304 0.3742082183 0.3740160675 0.0061637960
#> 72 synthesis plan 49 0.0751533742 0.0753998477 0.0102970859
#> 73 adapt synthesis 0 0.0000000000 0.0009737098 0.0013750249
#> 74 cohesion synthesis 6 0.0035398230 0.0038246543 0.0014968410
#> 75 consensus synthesis 48 0.0075841365 0.0076576932 0.0010952760
#> 76 coregulate synthesis 37 0.0187817259 0.0189921499 0.0030710352
#> 77 discuss synthesis 557 0.1409769679 0.1409429908 0.0055319360
#> 78 emotion synthesis 8 0.0028198802 0.0029913778 0.0010243181
#> 79 monitor synthesis 23 0.0160502442 0.0163478261 0.0033434578
#> 80 plan synthesis 11 0.0017865844 0.0018664286 0.0005498213
#> 81 synthesis synthesis 0 0.0000000000 0.0007616146 0.0010758564
#> prob_ci_low prob_ci_high p_value stable adj_res_observed
#> 1 9.576485e-07 0.004886981 1.000000e+00 FALSE -3.3211717
#> 2 1.124128e-03 0.006440504 5.689098e-01 FALSE -5.3287770
#> 3 3.263486e-03 0.006663359 1.681180e-01 FALSE -10.3214699
#> 4 1.132697e-02 0.022518610 1.518037e-01 FALSE -1.4741101
#> 5 6.360278e-02 0.079646724 2.421746e-05 TRUE 24.2317649
#> 6 1.102949e-03 0.004832486 5.018095e-01 FALSE -7.2563320
#> 7 6.643390e-03 0.017595165 3.097730e-01 FALSE -2.6297497
#> 8 4.066203e-04 0.002006478 5.340563e-01 FALSE -12.5118247
#> 9 2.022487e-01 0.266918656 3.888167e-04 TRUE 38.7658830
#> 10 2.340941e-01 0.310920604 4.835908e-04 TRUE 18.7214591
#> 11 2.014783e-02 0.035626301 8.476233e-02 FALSE -6.8283709
#> 12 1.208285e-02 0.018048429 1.555809e-02 TRUE -19.1996809
#> 13 2.842808e-02 0.044884448 3.230071e-02 TRUE -5.7625189
#> 14 4.123662e-02 0.054506833 5.936383e-04 TRUE -5.3770830
#> 15 3.079042e-01 0.342337896 1.165794e-22 TRUE 58.1953875
#> 16 4.471565e-02 0.068453708 2.166366e-02 TRUE -1.7822132
#> 17 2.146945e-02 0.029297073 1.993356e-03 TRUE -15.1412832
#> 18 2.175935e-02 0.049466008 2.278030e-01 FALSE -3.4634548
#> 19 4.311631e-01 0.517420630 4.700272e-08 TRUE 12.0066636
#> 20 4.731531e-01 0.520675460 2.107004e-25 TRUE 24.4702565
#> 21 7.539287e-02 0.088905448 1.354206e-08 TRUE -35.4977548
#> 22 1.197760e-01 0.149854129 1.892381e-05 TRUE -12.2716544
#> 23 3.064857e-01 0.335576871 2.348440e-30 TRUE 11.3359759
#> 24 3.030493e-01 0.337345430 3.129158e-22 TRUE 9.2658532
#> 25 1.405179e-01 0.178293873 5.033305e-05 TRUE -8.1347706
#> 26 2.790029e-01 0.301666464 1.108739e-40 TRUE 8.5266570
#> 27 4.258220e-01 0.502033368 1.374543e-09 TRUE 12.9614865
#> 28 1.145573e-02 0.036837786 3.947093e-01 FALSE -5.0188376
#> 29 1.041855e-01 0.134968733 1.965361e-04 TRUE 5.7636516
#> 30 1.781322e-01 0.197360519 4.188544e-25 TRUE 35.3158137
#> 31 1.733209e-02 0.030681345 8.550595e-02 FALSE -9.8823345
#> 32 7.585629e-02 0.093167762 4.119865e-06 TRUE 0.5559806
#> 33 2.793718e-02 0.041309050 1.293984e-02 TRUE -9.8520101
#> 34 4.659364e-02 0.070744174 1.925985e-02 TRUE -3.4259149
#> 35 1.418173e-02 0.020684398 1.027419e-02 TRUE -21.2793902
#> 36 3.045649e-02 0.062034774 1.643113e-01 FALSE -3.5412487
#> 37 4.065122e-02 0.081386089 1.534920e-01 FALSE -5.9721275
#> 38 4.896017e-02 0.071467672 1.002673e-02 TRUE -11.0894082
#> 39 1.784417e-01 0.197682422 3.765904e-25 TRUE 8.8216376
#> 40 2.538038e-01 0.293098808 2.556384e-11 TRUE 15.4162419
#> 41 1.825990e-01 0.207277399 1.061891e-13 TRUE 7.8771601
#> 42 9.103112e-02 0.113265231 1.315469e-05 TRUE -8.0744440
#> 43 3.497655e-01 0.399782415 2.252537e-13 TRUE 24.0121119
#> 44 6.177383e-02 0.074335360 3.868296e-07 TRUE -21.3673394
#> 45 4.590984e-02 0.083035465 9.551210e-02 FALSE -6.4954375
#> 46 9.315001e-02 0.149186117 3.581136e-02 TRUE 0.8261362
#> 47 1.008585e-01 0.131242631 2.503126e-04 TRUE 0.9681845
#> 48 6.644327e-02 0.079229526 9.900443e-08 TRUE -10.5811769
#> 49 1.556218e-01 0.188892117 7.993643e-07 TRUE 9.4332273
#> 50 9.640851e-02 0.115573117 1.960936e-07 TRUE -0.6086274
#> 51 6.738744e-02 0.086968570 1.749894e-04 TRUE -5.7610105
#> 52 7.648453e-02 0.106158803 3.034831e-03 TRUE -2.2352747
#> 53 1.380720e-01 0.155742466 8.660447e-15 TRUE 11.0777299
#> 54 5.249348e-02 0.091640697 7.639906e-02 FALSE -3.1607143
#> 55 2.019097e-02 0.051393645 2.880250e-01 FALSE -1.5652351
#> 56 2.525685e-02 0.042272638 5.688609e-02 FALSE -2.9982873
#> 57 4.160007e-02 0.051984390 2.182023e-05 TRUE -0.6361332
#> 58 7.436774e-02 0.099127675 7.871782e-04 TRUE 8.2486829
#> 59 1.799858e-02 0.027206374 1.856001e-02 TRUE -8.2508677
#> 60 2.985188e-02 0.043614689 1.042450e-02 TRUE -3.1126152
#> 61 1.213894e-02 0.025996562 1.950338e-01 FALSE -5.4541837
#> 62 6.908322e-02 0.082277309 8.053836e-08 TRUE 11.5470481
#> 63 5.786233e-03 0.022895736 4.697309e-01 FALSE -4.3308987
#> 64 7.406644e-03 0.029236724 4.685155e-01 FALSE -12.0901329
#> 65 1.247922e-01 0.157855718 4.269690e-05 TRUE -10.1646065
#> 66 3.835850e-01 0.407667169 3.134726e-63 TRUE 32.5840458
#> 67 2.202478e-01 0.257842610 1.232737e-09 TRUE -0.4613669
#> 68 8.636982e-03 0.015341532 8.781709e-02 FALSE -36.9200534
#> 69 8.902391e-02 0.111052126 1.643624e-05 TRUE -18.9077083
#> 70 1.944443e-01 0.236914662 1.050102e-06 TRUE -2.5187927
#> 71 3.619744e-01 0.386135159 7.442164e-57 TRUE 27.4636063
#> 72 5.647602e-02 0.096771419 6.683425e-02 FALSE -10.1399786
#> 73 9.576485e-07 0.004886981 1.000000e+00 FALSE -3.7979914
#> 74 1.475765e-03 0.007266891 5.331294e-01 FALSE -6.1709034
#> 75 5.661883e-03 0.009947588 8.212498e-02 FALSE -10.9973436
#> 76 1.344752e-02 0.025458063 1.232132e-01 FALSE -2.3484605
#> 77 1.302741e-01 0.151955729 9.749820e-10 TRUE 48.0463146
#> 78 1.332361e-03 0.005307280 4.730850e-01 FALSE -8.4327231
#> 79 1.045426e-02 0.023512359 2.230874e-01 FALSE -2.6368789
#> 80 9.490278e-04 0.003088162 4.016109e-01 FALSE -14.0191293
#> 81 7.488133e-07 0.003823313 1.000000e+00 FALSE -4.3108542
#> adj_res_stable
#> 1 FALSE
#> 2 FALSE
#> 3 FALSE
#> 4 FALSE
#> 5 TRUE
#> 6 FALSE
#> 7 FALSE
#> 8 FALSE
#> 9 TRUE
#> 10 TRUE
#> 11 FALSE
#> 12 TRUE
#> 13 TRUE
#> 14 TRUE
#> 15 TRUE
#> 16 TRUE
#> 17 TRUE
#> 18 FALSE
#> 19 TRUE
#> 20 TRUE
#> 21 TRUE
#> 22 TRUE
#> 23 TRUE
#> 24 TRUE
#> 25 TRUE
#> 26 TRUE
#> 27 TRUE
#> 28 FALSE
#> 29 TRUE
#> 30 TRUE
#> 31 FALSE
#> 32 TRUE
#> 33 TRUE
#> 34 TRUE
#> 35 TRUE
#> 36 FALSE
#> 37 FALSE
#> 38 TRUE
#> 39 TRUE
#> 40 TRUE
#> 41 TRUE
#> 42 TRUE
#> 43 TRUE
#> 44 TRUE
#> 45 FALSE
#> 46 TRUE
#> 47 TRUE
#> 48 TRUE
#> 49 TRUE
#> 50 TRUE
#> 51 TRUE
#> 52 TRUE
#> 53 TRUE
#> 54 FALSE
#> 55 FALSE
#> 56 FALSE
#> 57 TRUE
#> 58 TRUE
#> 59 TRUE
#> 60 TRUE
#> 61 FALSE
#> 62 TRUE
#> 63 FALSE
#> 64 FALSE
#> 65 TRUE
#> 66 TRUE
#> 67 TRUE
#> 68 FALSE
#> 69 TRUE
#> 70 TRUE
#> 71 TRUE
#> 72 FALSE
#> 73 FALSE
#> 74 FALSE
#> 75 FALSE
#> 76 FALSE
#> 77 TRUE
#> 78 FALSE
#> 79 FALSE
#> 80 FALSE
#> 81 FALSE
transitions(certainty_lsa(fit), significant = TRUE) # the certain ones
#> from to observed prob_observed prob_mean prob_se
#> 1 discuss adapt 282 0.07137434 0.07141954 0.004094140
#> 2 synthesis adapt 153 0.23466258 0.23381569 0.016506522
#> 3 adapt cohesion 139 0.27308448 0.27166504 0.019610550
#> 4 consensus cohesion 94 0.01485227 0.01492066 0.001523258
#> 5 coregulate cohesion 71 0.03604061 0.03621170 0.004203168
#> 6 discuss cohesion 188 0.04758289 0.04765516 0.003386854
#> 7 emotion cohesion 923 0.32534367 0.32500440 0.008785062
#> 8 monitor cohesion 80 0.05582694 0.05600000 0.006062128
#> 9 plan cohesion 155 0.02517460 0.02523736 0.001997988
#> 10 adapt consensus 243 0.47740668 0.47419669 0.022013963
#> 11 cohesion consensus 844 0.49793510 0.49691086 0.012124767
#> 12 consensus consensus 519 0.08200348 0.08202416 0.003447707
#> 13 coregulate consensus 265 0.13451777 0.13446442 0.007675517
#> 14 discuss consensus 1269 0.32118451 0.32094552 0.007421854
#> 15 emotion consensus 909 0.32040888 0.32007742 0.008749979
#> 16 monitor consensus 228 0.15910677 0.15895652 0.009640365
#> 17 plan consensus 1788 0.29040117 0.29027023 0.005781883
#> 18 synthesis consensus 304 0.46625767 0.46382331 0.019448333
#> 19 cohesion coregulate 202 0.11917404 0.11915269 0.007856225
#> 20 consensus coregulate 1188 0.18770738 0.18765296 0.004905602
#> 21 discuss coregulate 333 0.08428246 0.08431298 0.004417384
#> 22 emotion coregulate 97 0.03419105 0.03431286 0.003414259
#> 23 monitor coregulate 83 0.05792045 0.05808696 0.006167225
#> 24 plan coregulate 106 0.01721618 0.01728475 0.001660225
#> 25 cohesion discuss 101 0.05958702 0.05972345 0.005746613
#> 26 consensus discuss 1190 0.18802338 0.18796874 0.004908774
#> 27 coregulate discuss 539 0.27360406 0.27323373 0.010025961
#> 28 discuss discuss 770 0.19488737 0.19479206 0.006296280
#> 29 emotion discuss 289 0.10186817 0.10188281 0.005673705
#> 30 monitor discuss 538 0.37543615 0.37460870 0.012761741
#> 31 plan discuss 418 0.06789021 0.06792177 0.003205178
#> 32 adapt emotion 61 0.11984283 0.11976631 0.014314416
#> 33 cohesion emotion 196 0.11563422 0.11562224 0.007754455
#> 34 consensus emotion 460 0.07268131 0.07270861 0.003262458
#> 35 coregulate emotion 339 0.17208122 0.17194226 0.008489520
#> 36 discuss emotion 418 0.10579600 0.10580205 0.004889994
#> 37 emotion emotion 218 0.07684173 0.07689601 0.004997203
#> 38 monitor emotion 130 0.09071877 0.09078261 0.007574959
#> 39 plan emotion 904 0.14682475 0.14679867 0.004508254
#> 40 consensus monitor 295 0.04661084 0.04665667 0.002649875
#> 41 coregulate monitor 170 0.08629442 0.08635097 0.006319530
#> 42 discuss monitor 88 0.02227284 0.02237391 0.002351266
#> 43 emotion monitor 103 0.03630596 0.03642442 0.003513897
#> 44 plan monitor 465 0.07552379 0.07554978 0.003366510
#> 45 cohesion plan 239 0.14100295 0.14092380 0.008437615
#> 46 consensus plan 2505 0.39579712 0.39559485 0.006143746
#> 47 coregulate plan 471 0.23908629 0.23879463 0.009592343
#> 48 emotion plan 283 0.09975326 0.09977125 0.005621198
#> 49 monitor plan 309 0.21563154 0.21530435 0.010837325
#> 50 plan plan 2304 0.37420822 0.37401607 0.006163796
#> 51 discuss synthesis 557 0.14097697 0.14094299 0.005531936
#> prob_ci_low prob_ci_high p_value stable adj_res_observed adj_res_stable
#> 1 0.06360278 0.07964672 2.421746e-05 TRUE 24.2317649 TRUE
#> 2 0.20224872 0.26691866 3.888167e-04 TRUE 38.7658830 TRUE
#> 3 0.23409408 0.31092060 4.835908e-04 TRUE 18.7214591 TRUE
#> 4 0.01208285 0.01804843 1.555809e-02 TRUE -19.1996809 TRUE
#> 5 0.02842808 0.04488445 3.230071e-02 TRUE -5.7625189 TRUE
#> 6 0.04123662 0.05450683 5.936383e-04 TRUE -5.3770830 TRUE
#> 7 0.30790423 0.34233790 1.165794e-22 TRUE 58.1953875 TRUE
#> 8 0.04471565 0.06845371 2.166366e-02 TRUE -1.7822132 TRUE
#> 9 0.02146945 0.02929707 1.993356e-03 TRUE -15.1412832 TRUE
#> 10 0.43116315 0.51742063 4.700272e-08 TRUE 12.0066636 TRUE
#> 11 0.47315314 0.52067546 2.107004e-25 TRUE 24.4702565 TRUE
#> 12 0.07539287 0.08890545 1.354206e-08 TRUE -35.4977548 TRUE
#> 13 0.11977600 0.14985413 1.892381e-05 TRUE -12.2716544 TRUE
#> 14 0.30648567 0.33557687 2.348440e-30 TRUE 11.3359759 TRUE
#> 15 0.30304931 0.33734543 3.129158e-22 TRUE 9.2658532 TRUE
#> 16 0.14051789 0.17829387 5.033305e-05 TRUE -8.1347706 TRUE
#> 17 0.27900295 0.30166646 1.108739e-40 TRUE 8.5266570 TRUE
#> 18 0.42582203 0.50203337 1.374543e-09 TRUE 12.9614865 TRUE
#> 19 0.10418549 0.13496873 1.965361e-04 TRUE 5.7636516 TRUE
#> 20 0.17813223 0.19736052 4.188544e-25 TRUE 35.3158137 TRUE
#> 21 0.07585629 0.09316776 4.119865e-06 TRUE 0.5559806 TRUE
#> 22 0.02793718 0.04130905 1.293984e-02 TRUE -9.8520101 TRUE
#> 23 0.04659364 0.07074417 1.925985e-02 TRUE -3.4259149 TRUE
#> 24 0.01418173 0.02068440 1.027419e-02 TRUE -21.2793902 TRUE
#> 25 0.04896017 0.07146767 1.002673e-02 TRUE -11.0894082 TRUE
#> 26 0.17844170 0.19768242 3.765904e-25 TRUE 8.8216376 TRUE
#> 27 0.25380376 0.29309881 2.556384e-11 TRUE 15.4162419 TRUE
#> 28 0.18259905 0.20727740 1.061891e-13 TRUE 7.8771601 TRUE
#> 29 0.09103112 0.11326523 1.315469e-05 TRUE -8.0744440 TRUE
#> 30 0.34976546 0.39978241 2.252537e-13 TRUE 24.0121119 TRUE
#> 31 0.06177383 0.07433536 3.868296e-07 TRUE -21.3673394 TRUE
#> 32 0.09315001 0.14918612 3.581136e-02 TRUE 0.8261362 TRUE
#> 33 0.10085855 0.13124263 2.503126e-04 TRUE 0.9681845 TRUE
#> 34 0.06644327 0.07922953 9.900443e-08 TRUE -10.5811769 TRUE
#> 35 0.15562183 0.18889212 7.993643e-07 TRUE 9.4332273 TRUE
#> 36 0.09640851 0.11557312 1.960936e-07 TRUE -0.6086274 TRUE
#> 37 0.06738744 0.08696857 1.749894e-04 TRUE -5.7610105 TRUE
#> 38 0.07648453 0.10615880 3.034831e-03 TRUE -2.2352747 TRUE
#> 39 0.13807204 0.15574247 8.660447e-15 TRUE 11.0777299 TRUE
#> 40 0.04160007 0.05198439 2.182023e-05 TRUE -0.6361332 TRUE
#> 41 0.07436774 0.09912767 7.871782e-04 TRUE 8.2486829 TRUE
#> 42 0.01799858 0.02720637 1.856001e-02 TRUE -8.2508677 TRUE
#> 43 0.02985188 0.04361469 1.042450e-02 TRUE -3.1126152 TRUE
#> 44 0.06908322 0.08227731 8.053836e-08 TRUE 11.5470481 TRUE
#> 45 0.12479224 0.15785572 4.269690e-05 TRUE -10.1646065 TRUE
#> 46 0.38358499 0.40766717 3.134726e-63 TRUE 32.5840458 TRUE
#> 47 0.22024783 0.25784261 1.232737e-09 TRUE -0.4613669 TRUE
#> 48 0.08902391 0.11105213 1.643624e-05 TRUE -18.9077083 TRUE
#> 49 0.19444432 0.23691466 1.050102e-06 TRUE -2.5187927 TRUE
#> 50 0.36197444 0.38613516 7.442164e-57 TRUE 27.4636063 TRUE
#> 51 0.13027414 0.15195573 9.749820e-10 TRUE 48.0463146 TRUE