Wrapper to get the residuals of a fitted model.
Usage
getResiduals(object, ...)
# Default S3 method
getResiduals(object, ...)
# S3 method for class 'MixMod'
getResiduals(object, ...)
# S3 method for class 'brmsfit'
getResiduals(object, ...)Details
The purpose of this wrapper is to standardize the extraction of model residuals. Similar to some other functions, a key question is whether to calculate those conditional or unconditional on the fitted Random Effects.
Examples
testData = createData(sampleSize = 400, family = gaussian())
fittedModel <- lm(observedResponse ~ Environment1 , data = testData)
# response that was used to fit the model
getObservedResponse(fittedModel)
#> [1] -2.0841481161 1.3678711324 -1.3433418341 -1.8801637618 -0.5938018659
#> [6] -1.2090993577 -1.6517988664 -2.4801417617 -3.2721106406 -1.4981592274
#> [11] -2.1347820846 -1.7114769382 -2.8967333349 -0.2277243025 -0.2966544151
#> [16] -0.9580880863 -2.5485876187 -3.1022485206 -0.7367259218 -1.6263786774
#> [21] -2.3479586725 -1.9722318981 -2.2629741928 -0.6804208339 0.0540914418
#> [26] 0.1539902062 -2.4668494204 0.5918345629 -0.4977185195 -1.5825837768
#> [31] -0.9569215044 2.3350048035 -1.1603260585 -1.0117958226 -0.0086433251
#> [36] -2.0024558965 1.7345741851 0.2807210566 -1.0596236509 -2.5743350218
#> [41] -0.3330186345 -0.6597044531 0.2800156132 -0.3101863848 0.1126637515
#> [46] -2.9087979578 -0.4270403479 -1.0190419839 -2.9854013286 -0.7124587676
#> [51] 0.2649884375 -1.7025418024 -1.0222075851 -1.3536888927 -1.5785659321
#> [56] -1.4826664973 -1.4922673293 -0.0006768451 -1.0487717031 -2.0886989537
#> [61] -0.3647406417 -0.6263090716 -0.9457718377 -2.0159423906 -1.8041061765
#> [66] 1.1552900619 -2.0559602083 -2.1853136867 0.3900771845 -1.9444048965
#> [71] -1.3936751937 -0.3246233679 0.2611566893 0.9089822233 -0.6703237839
#> [76] -0.5815360215 -1.2661311586 -1.9409574381 -0.5885608824 -0.1970987413
#> [81] 0.5455417023 -0.5282062741 0.0221012274 -0.0916242331 0.1700262672
#> [86] 0.2501943663 0.1550576811 0.5223510448 0.3089890878 -2.3952398711
#> [91] 0.4932068712 2.2683974985 -0.7196668932 2.8838737742 -0.1015339750
#> [96] 1.2022909080 1.0380685339 0.4770968226 1.2410568427 1.3417770032
#> [101] -0.2948976596 1.5024140555 1.0673963701 -0.2094405373 0.8238774629
#> [106] 0.6946578812 2.5246289563 1.3497659058 -0.3072132057 -1.0668937157
#> [111] 1.6555158196 -0.4103989039 1.2152153243 1.7225477360 -1.0002766036
#> [116] 1.8437494044 -1.1952786912 -0.5634402772 -0.1851170724 1.9876608742
#> [121] 0.2857767645 1.7325175011 2.3543692247 0.2126991884 -1.1587522548
#> [126] 0.9427418998 1.3834489086 2.4605385752 0.5889116751 2.7020841879
#> [131] 2.9756114353 0.6751189938 1.6700612859 1.1955719099 -0.3434742625
#> [136] 2.1742025367 1.7926346197 2.1738263606 -0.0598093254 1.7833851689
#> [141] 1.1765697887 1.8295702373 0.5911403820 2.7462781941 1.6067448982
#> [146] 0.9746021668 1.6108702910 2.0718850789 2.6646739183 1.4977998928
#> [151] 3.1417659578 1.1811784205 1.8011006604 1.6574060714 1.3015655859
#> [156] 1.9309771184 1.6656847791 0.0416154146 0.5458885800 2.2402858589
#> [161] -1.7293566995 -1.4737675706 -1.5610951117 -2.1621314126 -1.2882487968
#> [166] -3.5025095045 -1.6601329610 -2.2807720212 -2.0453015772 0.5174901607
#> [171] -0.8539164928 -1.5086707586 -0.6148736822 -2.6750789717 -0.1284789717
#> [176] 0.9100708856 -3.2317298059 -1.1634021763 -2.8355981261 -2.8826621625
#> [181] -1.4025931510 -3.9011377025 -1.0078019438 -1.4224527595 -1.8472542051
#> [186] -3.7341202895 -1.1147030336 -3.1586538873 -1.9166437069 0.4705410183
#> [191] -0.5675947322 -2.6770022004 -0.5407628624 -1.1269162219 -3.4677220253
#> [196] -1.7998652683 -2.6313785639 -0.9827652222 0.3413761302 -2.6743974319
#> [201] -1.9264766275 -1.1100547035 0.3963987278 0.6481028497 1.6104011217
#> [206] 2.1629294617 -0.3938312249 -0.8964844870 1.7409489459 0.0004715974
#> [211] -0.3875830430 0.4165716002 1.9125704156 1.5272800259 0.6959404933
#> [216] 2.9093308157 -2.2838095294 -1.3153811591 1.4645649275 2.0746450011
#> [221] 0.6464313648 0.4720441274 0.1519920399 0.1297186984 0.2228779759
#> [226] 2.1398786259 0.4428083632 -1.8718501565 0.6232411921 2.4435018004
#> [231] -1.9127790679 0.7374140123 1.2142221211 -0.2537662151 0.8716948054
#> [236] -1.2501169601 0.6915089101 -2.0135235248 -0.3548115225 -0.3349725037
#> [241] -1.0030161775 0.5740911658 2.2737167520 -0.1054663961 -0.6223238071
#> [246] -0.1512337173 0.8794720676 2.4930416077 1.1290548072 -2.9311485200
#> [251] 0.8822474636 0.7085053193 -0.2436296540 2.2018953752 1.0616317963
#> [256] 0.1550139748 -2.0498419775 -0.0259272488 1.7286629020 1.9318330284
#> [261] 0.4002890799 1.2097413800 1.4182575475 0.0912342157 -2.4247987513
#> [266] 0.4132062572 1.2935472716 -2.2345662772 0.5820622205 0.6937892898
#> [271] 0.8857663964 0.7170110388 -0.2761274571 -1.6884170160 2.1817324155
#> [276] 1.1110464452 1.7231581861 -0.0894236901 1.1851806298 -0.3924134674
#> [281] 2.2373691153 2.2588195837 1.8949903938 -1.0045115256 -0.6588612384
#> [286] 3.2519226654 0.6869608047 2.3193386522 0.6973375885 1.3472288621
#> [291] 0.5579726947 3.1191126036 0.9400526188 0.2924031009 0.3138270419
#> [296] -0.9381093968 1.8147058481 0.6494343841 1.3833720879 -1.5004297684
#> [301] -0.4523461267 0.5849396841 0.9188850833 0.4907165100 -0.7433806530
#> [306] 1.1655329427 0.2420592364 0.5722619987 0.5358817782 2.5419443492
#> [311] 2.2887046526 1.0392469294 2.6947753438 0.0199563052 1.1814901540
#> [316] -1.1851387577 1.2079283535 -0.5788492744 0.9974499020 0.8854433516
#> [321] 0.9733781237 -0.7387331297 -1.6475451326 -3.4898304487 -1.1129665680
#> [326] -1.2710880641 -1.4753931405 -0.5115791309 -0.2322945094 -0.9097109709
#> [331] 0.0211280348 -0.2139917810 -2.8872002018 -3.8564897240 -0.9415674515
#> [336] -0.5136513970 0.2512860282 -2.7942451942 -2.0094103673 1.0485597876
#> [341] 0.1146778540 -1.6439699919 -2.9349889768 0.3225667661 -0.1952474298
#> [346] -1.0482761434 -2.0899546986 -1.1595595879 -1.4340869248 -2.4655834786
#> [351] -1.7852775652 -0.6513584683 -0.2028788063 0.1381151720 1.1360269712
#> [356] -0.6375330096 -2.1681165878 0.2745315911 1.6053940716 -0.2988754069
#> [361] -2.8629374042 2.4508167159 1.0771803101 -0.1669700556 1.2780503642
#> [366] 1.1779038274 -0.1898401962 0.7506148096 1.3781146977 1.5649327683
#> [371] -1.3844514776 1.1761913514 3.3002320121 -0.4700221268 0.1582988481
#> [376] 0.9943674965 1.1543664986 -0.8203010017 1.4541647001 1.2280702684
#> [381] -0.5710897348 0.9849758797 -0.1159714397 0.2047099838 2.2542267982
#> [386] -0.7538683992 1.3113829117 3.1064906033 3.5902468763 2.1331740182
#> [391] 1.2972017697 0.1168350954 -0.5676962238 0.4701550494 2.5104690664
#> [396] 1.8520348189 -0.5499518985 0.9358910107 0.8651362638 -0.7080925228
# predictions of the model for these points
getFitted(fittedModel)
# extract simulations from the model as matrix
getSimulations(fittedModel, nsim = 2)
#> sim_1 sim_2
#> 1 -0.666900775 -1.84533606
#> 2 0.382293554 0.64769378
#> 3 -3.992172005 2.09490636
#> 4 -0.476550980 3.72216091
#> 5 2.022765578 2.60746456
#> 6 0.039854260 2.59838014
#> 7 -1.949250674 -3.28588293
#> 8 -0.759951134 0.25665078
#> 9 -1.691637324 -4.34455300
#> 10 -0.817949711 0.19224102
#> 11 -4.924719153 0.36310846
#> 12 0.834664937 1.23980460
#> 13 1.032803569 0.56462168
#> 14 -0.322923424 1.47746539
#> 15 0.882158038 -1.24037731
#> 16 0.062758331 3.65967093
#> 17 0.514515906 -3.56200710
#> 18 -2.953187178 -2.40153684
#> 19 -2.369714085 -0.80543376
#> 20 3.290597247 1.13785480
#> 21 -1.810179239 -2.30488106
#> 22 -1.167807674 0.02146828
#> 23 -0.780007375 1.52444552
#> 24 1.448619939 -0.77845929
#> 25 2.151140956 0.98436975
#> 26 0.868848867 -0.26978488
#> 27 -0.001388132 -0.49949585
#> 28 0.790490104 1.24330523
#> 29 -2.016025614 -1.03308995
#> 30 0.830132831 -0.09442020
#> 31 1.115705000 -0.12456097
#> 32 1.159116733 0.68291164
#> 33 0.555890843 -2.23642640
#> 34 -2.623908288 0.61841594
#> 35 1.902985359 0.09683798
#> 36 -2.393055412 -0.55895593
#> 37 0.636018702 0.41573166
#> 38 1.189752567 -0.57234535
#> 39 -1.325007089 1.63378631
#> 40 0.109196666 -2.85890477
#> 41 -0.049574862 1.73866763
#> 42 -0.529396624 -0.07471843
#> 43 0.530041455 -0.64034441
#> 44 -2.543623889 1.67513592
#> 45 -3.061473841 -1.63543511
#> 46 -1.453469514 -1.17073500
#> 47 0.235170578 1.51500848
#> 48 -2.868902171 -2.13618805
#> 49 -3.407089778 -1.71050674
#> 50 -0.845673694 -0.63327516
#> 51 -1.960812381 1.94945089
#> 52 -3.302482422 0.70760943
#> 53 0.712650556 1.23650009
#> 54 -0.091688016 -1.32889411
#> 55 -0.708030714 -1.53701335
#> 56 0.496419205 1.72768586
#> 57 0.491470044 0.40557854
#> 58 -0.726387006 0.65587711
#> 59 -1.852306148 -0.37506043
#> 60 1.329628119 -0.38020619
#> 61 -3.996148608 -0.41477255
#> 62 0.580333254 2.41436900
#> 63 -0.684041811 3.38703919
#> 64 0.851696593 -0.20135540
#> 65 -0.271516817 -2.59687317
#> 66 -0.585995348 -0.90959754
#> 67 0.159461042 1.10244081
#> 68 2.345527762 -0.75817826
#> 69 -0.023953262 0.07770210
#> 70 0.588840666 0.50895215
#> 71 1.789674530 -2.37961188
#> 72 -3.959560176 1.84420371
#> 73 -0.998876846 0.66778707
#> 74 1.100396933 -0.47714241
#> 75 1.837078479 1.58548642
#> 76 -3.388411318 0.14121019
#> 77 -1.155962306 1.65168684
#> 78 0.448010755 1.00454081
#> 79 1.800744792 -2.17210667
#> 80 -1.100194061 1.52377067
#> 81 -1.392285099 1.77384407
#> 82 -0.846664620 -0.33086093
#> 83 -0.059462202 0.99774456
#> 84 1.195443718 0.25523008
#> 85 0.050680519 0.47354873
#> 86 0.936389222 1.59672823
#> 87 0.793833024 1.87929663
#> 88 -0.919035798 -2.00555719
#> 89 0.667697717 0.75616484
#> 90 0.362214076 -0.50284182
#> 91 -3.322791351 -3.30220677
#> 92 -1.755660567 -0.02355564
#> 93 0.328415687 -2.36993467
#> 94 0.134319144 0.15886961
#> 95 -2.432223329 3.62487170
#> 96 3.074283472 0.70559899
#> 97 1.695985870 0.24794318
#> 98 -1.287904609 -3.66218295
#> 99 -2.288475746 2.19679684
#> 100 -0.241360348 -1.31908920
#> 101 -0.974311142 0.35857411
#> 102 -0.710585547 -1.82682237
#> 103 -0.616388946 1.43111307
#> 104 0.276518711 1.02528557
#> 105 -2.760416917 -0.65813982
#> 106 -1.276586065 -1.81307576
#> 107 -2.162167642 -0.11990398
#> 108 -1.093216522 -1.66830511
#> 109 1.011902807 0.22028915
#> 110 -1.819352492 -1.10491557
#> 111 -1.097640828 -0.07379985
#> 112 0.307548027 -1.53673506
#> 113 0.316999280 -0.26104376
#> 114 0.260908220 -0.74549790
#> 115 -2.097323886 -2.29537365
#> 116 -2.131537005 0.96234217
#> 117 -0.986472563 -4.14827119
#> 118 -0.019767405 2.04997707
#> 119 -2.036003224 -0.96361081
#> 120 -0.732024920 -1.85839428
#> 121 -0.287978171 -2.05360878
#> 122 -1.101958561 0.06166744
#> 123 0.247387865 1.54843210
#> 124 -0.090783684 -1.55659822
#> 125 -0.744989779 2.70891841
#> 126 -1.132584591 -1.09724944
#> 127 -0.962560986 0.63354139
#> 128 -1.929710148 -0.86496660
#> 129 0.340176280 1.42293512
#> 130 -0.616918209 1.13421578
#> 131 0.124332279 -1.62983603
#> 132 1.095498895 0.07937448
#> 133 -1.383294850 -0.73366958
#> 134 1.074938749 -0.18047963
#> 135 0.502170859 -0.77212469
#> 136 1.157302351 1.09198504
#> 137 0.565280404 -1.16216522
#> 138 -1.737953236 1.21966006
#> 139 -1.483887172 1.62527254
#> 140 -1.944390009 -2.64917026
#> 141 3.466426112 -0.42379278
#> 142 1.221218645 2.32568873
#> 143 -3.206046295 -0.86589601
#> 144 -0.802774787 2.40025553
#> 145 -0.715524425 0.93992764
#> 146 0.552155647 0.20470979
#> 147 -0.423403939 -2.31031263
#> 148 1.435352638 -0.07177976
#> 149 1.068896270 -0.90489016
#> 150 3.177866617 -0.85226092
#> 151 0.158075685 -2.26893369
#> 152 -2.453553503 0.61285902
#> 153 1.471691854 1.96394693
#> 154 -1.977659824 -2.86045031
#> 155 0.255453782 -0.74872108
#> 156 -0.394201006 0.81601606
#> 157 -0.157878451 -0.92586732
#> 158 -2.199128264 -1.29216470
#> 159 -0.083076345 1.16523579
#> 160 -0.623418979 -0.98531130
#> 161 -0.305242818 1.00232180
#> 162 1.137592160 -0.20225045
#> 163 0.514880273 -0.65996441
#> 164 -2.617596403 1.63131745
#> 165 -1.213227834 1.70560382
#> 166 -2.077981379 -1.65996142
#> 167 0.106923638 0.22022595
#> 168 -0.495698853 -0.77644089
#> 169 -0.023449776 -0.69101656
#> 170 3.075432392 0.62021285
#> 171 0.721361596 0.11972251
#> 172 2.161140234 -0.93647129
#> 173 1.157062876 -1.51463782
#> 174 0.141883013 0.16524444
#> 175 0.448579882 -2.49134229
#> 176 -0.174207791 -0.13415762
#> 177 -1.574281584 -1.21932264
#> 178 -1.846726215 1.72947666
#> 179 0.101622525 -0.97478857
#> 180 -3.243629752 -1.23948768
#> 181 0.852551144 -1.74637776
#> 182 -0.983761092 0.30222313
#> 183 -0.444426962 0.01233340
#> 184 -0.119363227 -3.84748401
#> 185 1.444660295 3.57916340
#> 186 -1.152805792 0.64474249
#> 187 -3.289033376 -2.68285441
#> 188 1.681177932 0.52536890
#> 189 1.495291329 -1.01146298
#> 190 1.952291638 0.49621723
#> 191 0.031426243 -1.02297146
#> 192 -0.598641622 -0.16872230
#> 193 -0.787355385 0.15134495
#> 194 -0.535909523 0.08829825
#> 195 -0.851812176 0.80362101
#> 196 2.173037075 -1.74101682
#> 197 0.084423735 -1.34237572
#> 198 -0.662620164 1.92171961
#> 199 0.375762928 -0.15541388
#> 200 1.817131105 1.04419736
#> 201 1.174366734 1.07834080
#> 202 -1.041568626 -1.56237710
#> 203 -0.046124396 0.48530628
#> 204 -1.820260435 -3.77371021
#> 205 1.265969983 -0.54963856
#> 206 2.222009637 0.14207881
#> 207 -0.749354777 0.26151213
#> 208 -1.421286711 -0.94716323
#> 209 0.562856510 0.14955505
#> 210 -2.202695094 -1.76552243
#> 211 -1.289987540 -0.44982562
#> 212 0.814103648 0.56026698
#> 213 -0.666396897 -0.74631426
#> 214 -0.310114965 2.62649068
#> 215 1.606036610 2.74174497
#> 216 -1.886537361 1.28428225
#> 217 -0.470935615 0.57481444
#> 218 -0.167379499 0.42609498
#> 219 0.486636346 0.58774607
#> 220 -0.104670401 0.52209725
#> 221 -1.521046503 -2.07748277
#> 222 3.041832375 0.33009123
#> 223 -0.642988295 -0.73788510
#> 224 -0.343864778 1.90523384
#> 225 -4.746899054 -0.88864106
#> 226 0.207171125 1.09365881
#> 227 0.074760245 -0.82932104
#> 228 0.804842715 0.41973319
#> 229 0.381541986 0.33947000
#> 230 -0.882536628 0.62050190
#> 231 -0.523708849 0.29364170
#> 232 1.348561819 2.55250530
#> 233 0.068496878 -0.70034894
#> 234 1.764054429 -0.26502393
#> 235 -2.276873639 -1.52689426
#> 236 0.323810496 0.92777908
#> 237 -1.932221051 -3.54839834
#> 238 -0.444111306 1.13934207
#> 239 -1.624578134 2.01185410
#> 240 -0.715512086 0.87617662
#> 241 1.198133915 0.92623018
#> 242 0.278421857 1.97042535
#> 243 -2.232993690 0.01043646
#> 244 1.606337641 2.67742928
#> 245 0.531722604 -0.55751234
#> 246 0.031673958 -1.97162440
#> 247 -0.333189669 1.08093461
#> 248 1.114933325 1.83048929
#> 249 -0.418845824 -3.16910644
#> 250 -1.595349523 1.42299852
#> 251 -2.572532328 1.91716864
#> 252 3.239782714 -0.65306454
#> 253 -0.372591941 0.03875098
#> 254 0.342408059 -0.20260212
#> 255 2.278441590 -1.07887807
#> 256 1.694412181 1.44568515
#> 257 -2.451670169 0.56919744
#> 258 2.540025439 -0.87993291
#> 259 -0.114375608 -1.25392964
#> 260 -0.060544219 -0.84573037
#> 261 -0.320186533 -1.07441595
#> 262 -0.956116709 -1.43500971
#> 263 2.704036731 0.19622291
#> 264 0.816479279 -0.17207010
#> 265 -3.615426605 0.10250503
#> 266 -2.317356662 -0.16703910
#> 267 -0.856163933 -0.43535572
#> 268 -1.337184663 -1.39695777
#> 269 2.540632171 -0.41536482
#> 270 -0.148308662 1.59857622
#> 271 1.263199560 3.47577026
#> 272 0.945737101 -1.23838151
#> 273 -1.330749839 1.41404685
#> 274 1.279261049 -1.29497818
#> 275 1.783508664 0.24121524
#> 276 1.111046765 0.28319150
#> 277 1.265574141 -0.21961778
#> 278 1.192637329 -0.63788306
#> 279 -1.366876224 -1.01162600
#> 280 -0.601165605 -0.02290522
#> 281 0.718785010 1.15619125
#> 282 0.172659069 0.59060598
#> 283 3.225776283 -2.25162245
#> 284 -0.343785274 3.22680874
#> 285 4.102187469 -1.24286860
#> 286 -1.193917018 -0.14936802
#> 287 -0.165414424 -0.94854543
#> 288 1.310303514 -1.64803153
#> 289 2.111405812 -0.10637347
#> 290 -0.129026673 0.02583200
#> 291 2.504951145 -2.50274692
#> 292 1.559223646 1.06157483
#> 293 -0.497807848 0.67025687
#> 294 -0.169769314 -0.14421473
#> 295 -0.245223087 1.78613912
#> 296 1.433063163 -0.90560965
#> 297 1.678818301 2.26330356
#> 298 0.549955583 0.27092116
#> 299 1.209305707 0.81959252
#> 300 -1.361091900 0.17238006
#> 301 -0.895693763 -1.32577047
#> 302 -4.207142364 0.99114896
#> 303 2.136428641 -0.65712607
#> 304 3.716289040 1.69562843
#> 305 -0.661740773 -2.31905764
#> 306 0.850283647 0.29790387
#> 307 -1.036797580 2.45703179
#> 308 -1.773394763 1.94589548
#> 309 1.425289874 1.78318649
#> 310 -1.114890902 0.42107411
#> 311 -1.775206252 2.28184456
#> 312 -1.812673386 -0.54486229
#> 313 -1.688690881 2.23780287
#> 314 -0.442612524 2.17902691
#> 315 -1.351481890 1.57793728
#> 316 -2.049053747 -0.28582755
#> 317 -0.493184918 1.94005474
#> 318 -2.022934761 0.65544150
#> 319 -0.257540992 1.00344293
#> 320 -1.140198561 2.81424101
#> 321 -0.573981654 4.50567635
#> 322 0.167576923 1.30211277
#> 323 -0.381697483 2.18612215
#> 324 -2.544361800 2.56254660
#> 325 -0.454250373 1.09162689
#> 326 -0.074010288 -0.65394644
#> 327 -1.469279367 -0.67512312
#> 328 -1.754269055 -0.96306509
#> 329 1.804214373 0.86746046
#> 330 -1.159101419 -3.73765011
#> 331 -0.417303958 -0.34959850
#> 332 0.253151453 -1.36550529
#> 333 0.129208434 0.58037957
#> 334 0.156604029 -2.30350709
#> 335 -0.043576406 -2.16238690
#> 336 0.364596674 0.67905508
#> 337 2.871909486 2.50302135
#> 338 1.088654765 -1.33885337
#> 339 0.953464631 1.13303947
#> 340 -0.489072520 -1.01219276
#> 341 -3.802829105 0.58858335
#> 342 1.240909959 -1.30231698
#> 343 0.199745346 -0.11874191
#> 344 0.104485082 1.27015125
#> 345 1.781055450 -0.32105561
#> 346 0.020613631 -1.27767523
#> 347 0.249542376 -0.65288231
#> 348 -0.159360034 0.49056950
#> 349 -1.033009880 1.46329279
#> 350 -0.777157436 1.11041573
#> 351 -1.408632777 -0.53958548
#> 352 0.812424149 0.03465804
#> 353 0.025005922 -0.01495106
#> 354 0.569956580 -1.25446114
#> 355 -1.908476364 1.69978084
#> 356 -1.562644495 -1.51782868
#> 357 -0.974227680 -0.33140872
#> 358 0.805464945 -2.25091579
#> 359 3.144022465 1.61602701
#> 360 0.589233701 -1.29253869
#> 361 -2.922657453 0.43855650
#> 362 2.376586420 0.21370619
#> 363 1.416211054 2.74759340
#> 364 2.237882447 -1.95151451
#> 365 -0.137096099 1.05961665
#> 366 2.452723615 -3.19266723
#> 367 1.183480498 -0.46533529
#> 368 1.166134170 0.23431593
#> 369 -0.167742712 1.99912955
#> 370 -0.820683834 -1.70662193
#> 371 -0.261001660 0.03729070
#> 372 1.657960082 -3.15771512
#> 373 4.515850231 2.40996753
#> 374 -2.207024972 1.46523470
#> 375 -2.107847744 1.22767030
#> 376 -0.668906438 -0.83847950
#> 377 1.933009715 3.31377408
#> 378 0.016184579 -1.92478884
#> 379 -3.487321657 -1.29721557
#> 380 0.572674091 -0.85918965
#> 381 -0.499241456 1.94523062
#> 382 0.031016181 -0.09662579
#> 383 -0.040178342 -0.97897267
#> 384 -2.739551814 -0.79735014
#> 385 -0.639419933 2.88509645
#> 386 1.936354092 -2.75837044
#> 387 -0.108119040 -0.82314366
#> 388 -0.273091868 -3.51229546
#> 389 1.549195292 -0.35064735
#> 390 0.373003533 -1.51704008
#> 391 -1.115886378 -3.65682186
#> 392 -0.017418251 2.44423261
#> 393 0.081241903 0.06948313
#> 394 -0.005200170 -0.36546752
#> 395 0.709997103 0.40121778
#> 396 -1.089523870 2.26564967
#> 397 -2.291538568 -1.09475594
#> 398 -0.565698117 0.13167952
#> 399 0.289607770 0.24940128
#> 400 -1.176342345 3.30017837
# extract simulations from the model for refit (often requires different structure)
x = getSimulations(fittedModel, nsim = 2, type = "refit")
getRefit(fittedModel, x[[1]])
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> -0.06508 0.90473
#>
getRefit(fittedModel, getObservedResponse(fittedModel))
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> -0.02188 0.95192
#>
# get data frame that was used to fit the model
getData(fittedModel)
#> ID observedResponse Environment1 group time x y
#> 1 1 -2.0841481161 -0.400440764 1 250 0.127673335 0.381653503
#> 2 2 1.3678711324 0.914197075 1 155 0.339764824 0.874139213
#> 3 3 -1.3433418341 0.435075236 1 261 0.252003107 0.184090161
#> 4 4 -1.8801637618 0.962625170 1 299 0.899154648 0.409729938
#> 5 5 -0.5938018659 0.427620582 1 87 0.992889685 0.545169979
#> 6 6 -1.2090993577 -0.177519320 1 252 0.608274117 0.653881355
#> 7 7 -1.6517988664 -0.584644925 1 136 0.800173612 0.549389943
#> 8 8 -2.4801417617 0.128396408 1 280 0.066283105 0.032400787
#> 9 9 -3.2721106406 -0.995745291 1 339 0.920450342 0.516316205
#> 10 10 -1.4981592274 -0.983768170 1 88 0.037715437 0.982081061
#> 11 11 -2.1347820846 -0.783890625 1 297 0.131973075 0.500086917
#> 12 12 -1.7114769382 0.793864372 1 110 0.001956703 0.915146814
#> 13 13 -2.8967333349 -0.632482130 1 54 0.857665129 0.791390289
#> 14 14 -0.2277243025 0.464583436 1 79 0.094703708 0.977716174
#> 15 15 -0.2966544151 0.847624138 1 355 0.649994795 0.332954213
#> 16 16 -0.9580880863 0.283019643 1 380 0.914948892 0.152391417
#> 17 17 -2.5485876187 -0.561525483 1 72 0.200389947 0.955070801
#> 18 18 -3.1022485206 -0.556985808 1 105 0.133805690 0.970080259
#> 19 19 -0.7367259218 -0.566336061 1 7 0.797682880 0.550828744
#> 20 20 -1.6263786774 0.271290253 1 315 0.707827986 0.927321059
#> 21 21 -2.3479586725 -0.692818862 1 37 0.373593524 0.946014923
#> 22 22 -1.9722318981 0.322328431 1 244 0.573641782 0.503819538
#> 23 23 -2.2629741928 -0.766234797 1 207 0.006704355 0.915900535
#> 24 24 -0.6804208339 0.518618458 1 173 0.862443412 0.536542336
#> 25 25 0.0540914418 0.741025975 1 133 0.481522833 0.009924793
#> 26 26 0.1539902062 0.596791477 1 348 0.430260191 0.254544176
#> 27 27 -2.4668494204 -0.155895463 1 64 0.047469954 0.331718854
#> 28 28 0.5918345629 -0.302635484 1 309 0.549834773 0.886502781
#> 29 29 -0.4977185195 -0.233063407 1 234 0.394128930 0.232211221
#> 30 30 -1.5825837768 -0.881208663 1 286 0.711327250 0.043437624
#> 31 31 -0.9569215044 -0.722471959 1 130 0.406675403 0.031165532
#> 32 32 2.3350048035 0.768866774 1 40 0.014130730 0.076048609
#> 33 33 -1.1603260585 0.108914054 1 150 0.321378351 0.393544011
#> 34 34 -1.0117958226 -0.463160397 1 277 0.251084733 0.558092524
#> 35 35 -0.0086433251 0.659090323 1 18 0.633444359 0.873650343
#> 36 36 -2.0024558965 -0.531956960 1 294 0.086934123 0.275884967
#> 37 37 1.7345741851 0.436097105 1 83 0.580475095 0.147958705
#> 38 38 0.2807210566 0.820910694 1 251 0.122639720 0.675855871
#> 39 39 -1.0596236509 0.803155408 1 193 0.762314813 0.891007498
#> 40 40 -2.5743350218 -0.639231204 1 4 0.082955092 0.817257980
#> 41 41 -0.3330186345 0.315094943 2 307 0.871381438 0.493855810
#> 42 42 -0.6597044531 0.192277647 2 386 0.616283783 0.713133131
#> 43 43 0.2800156132 -0.343097630 2 121 0.801460101 0.381022946
#> 44 44 -0.3101863848 -0.074001346 2 395 0.054663647 0.417586436
#> 45 45 0.1126637515 0.170944184 2 86 0.592927446 0.389587078
#> 46 46 -2.9087979578 -0.431165993 2 263 0.145782372 0.651501938
#> 47 47 -0.4270403479 0.506210459 2 258 0.035145177 0.087001029
#> 48 48 -1.0190419839 -0.529634865 2 29 0.721784311 0.675991558
#> 49 49 -2.9854013286 -0.298550722 2 59 0.196979614 0.213677155
#> 50 50 -0.7124587676 -0.265781940 2 260 0.710686476 0.055928049
#> 51 51 0.2649884375 0.643458724 2 370 0.776210133 0.704848910
#> 52 52 -1.7025418024 0.137488222 2 43 0.878789857 0.768614528
#> 53 53 -1.0222075851 0.180581056 2 371 0.371522756 0.014309508
#> 54 54 -1.3536888927 -0.647788374 2 120 0.571882096 0.688852611
#> 55 55 -1.5785659321 -0.764558906 2 80 0.478941418 0.397655425
#> 56 56 -1.4826664973 0.823274635 2 387 0.858856345 0.236860653
#> 57 57 -1.4922673293 -0.946270728 2 400 0.317582115 0.870881437
#> 58 58 -0.0006768451 0.142512144 2 30 0.164101114 0.639342662
#> 59 59 -1.0487717031 0.991890081 2 178 0.571352120 0.357732798
#> 60 60 -2.0886989537 -0.747957427 2 1 0.726923574 0.295169121
#> 61 61 -0.3647406417 -0.891643126 2 206 0.204408021 0.908041919
#> 62 62 -0.6263090716 0.279509818 2 32 0.991148100 0.958130263
#> 63 63 -0.9457718377 -0.942920375 2 3 0.830496406 0.100100817
#> 64 64 -2.0159423906 0.508928679 2 169 0.135286980 0.560236276
#> 65 65 -1.8041061765 -0.668689169 2 308 0.963849225 0.786887973
#> 66 66 1.1552900619 0.410513878 2 56 0.252994969 0.573202238
#> 67 67 -2.0559602083 -0.090345189 2 282 0.902797429 0.985146487
#> 68 68 -2.1853136867 -0.378750382 2 74 0.910501923 0.614709292
#> 69 69 0.3900771845 -0.561158834 2 49 0.417366911 0.570961298
#> 70 70 -1.9444048965 -0.475530854 2 331 0.686342234 0.533029779
#> 71 71 -1.3936751937 -0.155983279 2 254 0.829939070 0.233725293
#> 72 72 -0.3246233679 0.339291980 2 278 0.160126819 0.001424130
#> 73 73 0.2611566893 0.985069434 2 145 0.446757872 0.446950151
#> 74 74 0.9089822233 -0.425354089 2 200 0.512451093 0.950289391
#> 75 75 -0.6703237839 -0.080566832 2 194 0.215179063 0.526897913
#> 76 76 -0.5815360215 -0.665922492 2 39 0.698230951 0.798537652
#> 77 77 -1.2661311586 -0.024087496 2 188 0.192257217 0.754051622
#> 78 78 -1.9409574381 -0.305862297 2 203 0.079751163 0.530082546
#> 79 79 -0.5885608824 0.385458636 2 115 0.703227405 0.801075684
#> 80 80 -0.1970987413 0.236713309 2 195 0.184990250 0.138334898
#> 81 81 0.5455417023 0.364240467 3 201 0.201652921 0.482104368
#> 82 82 -0.5282062741 -0.385995663 3 298 0.831015515 0.195509267
#> 83 83 0.0221012274 0.522168060 3 24 0.443979807 0.996769246
#> 84 84 -0.0916242331 0.178281116 3 212 0.922125173 0.753842443
#> 85 85 0.1700262672 -0.276744239 3 223 0.808625251 0.766162521
#> 86 86 0.2501943663 0.741221933 3 343 0.618073006 0.689610185
#> 87 87 0.1550576811 0.347581019 3 183 0.736729237 0.736291726
#> 88 88 0.5223510448 0.151687191 3 397 0.051967761 0.159489383
#> 89 89 0.3089890878 0.062238908 3 238 0.498532848 0.991368312
#> 90 90 -2.3952398711 -0.409962778 3 5 0.354061789 0.702984618
#> 91 91 0.4932068712 -0.827890801 3 326 0.798367857 0.494120982
#> 92 92 2.2683974985 0.002301028 3 111 0.637252369 0.223282046
#> 93 93 -0.7196668932 -0.131646508 3 112 0.169768056 0.095285759
#> 94 94 2.8838737742 0.628801518 3 134 0.994184084 0.932816838
#> 95 95 -0.1015339750 -0.094304734 3 383 0.277329389 0.721083490
#> 96 96 1.2022909080 0.254239993 3 366 0.093838279 0.979323668
#> 97 97 1.0380685339 -0.026084589 3 57 0.151401673 0.194846580
#> 98 98 0.4770968226 -0.773936988 3 209 0.377551024 0.486827479
#> 99 99 1.2410568427 0.190667157 3 95 0.190622561 0.030367225
#> 100 100 1.3417770032 -0.013238144 3 82 0.800171182 0.803729709
#> 101 101 -0.2948976596 -0.412270413 3 192 0.093440700 0.630322824
#> 102 102 1.5024140555 -0.114684323 3 138 0.767545955 0.647377071
#> 103 103 1.0673963701 0.482677810 3 159 0.497761704 0.986742522
#> 104 104 -0.2094405373 0.769318273 3 81 0.377256238 0.976410655
#> 105 105 0.8238774629 -0.256967588 3 26 0.029952330 0.322112276
#> 106 106 0.6946578812 -0.910748386 3 68 0.189159838 0.002661307
#> 107 107 2.5246289563 -0.700326696 3 333 0.336052775 0.360874499
#> 108 108 1.3497659058 0.003246229 3 389 0.048802843 0.064798302
#> 109 109 -0.3072132057 0.440864888 3 361 0.981153256 0.938337039
#> 110 110 -1.0668937157 -0.868595674 3 336 0.611155691 0.907108985
#> 111 111 1.6555158196 0.073690594 3 399 0.956255100 0.754244818
#> 112 112 -0.4103989039 -0.793997618 3 288 0.664733759 0.903586770
#> 113 113 1.2152153243 0.965655837 3 265 0.076293951 0.537280628
#> 114 114 1.7225477360 0.451766595 3 248 0.048939990 0.431897921
#> 115 115 -1.0002766036 -0.636630503 3 90 0.322789134 0.074187363
#> 116 116 1.8437494044 0.657929154 3 46 0.213226945 0.619133464
#> 117 117 -1.1952786912 0.229350363 3 179 0.381051743 0.701203971
#> 118 118 -0.5634402772 0.194098570 3 301 0.767100255 0.514052941
#> 119 119 -0.1851170724 -0.902801191 3 127 0.360738102 0.865697101
#> 120 120 1.9876608742 -0.622164132 3 44 0.134545340 0.197078397
#> 121 121 0.2857767645 -0.322650278 4 204 0.213777431 0.768754001
#> 122 122 1.7325175011 -0.365913896 4 230 0.100606967 0.558886672
#> 123 123 2.3543692247 0.681166272 4 69 0.234249241 0.662506528
#> 124 124 0.2126991884 -0.295559852 4 283 0.652935689 0.021052535
#> 125 125 -1.1587522548 -0.311247133 4 337 0.673301323 0.494272166
#> 126 126 0.9427418998 -0.949049168 4 104 0.312675459 0.886713448
#> 127 127 1.3834489086 -0.821593232 4 52 0.793787249 0.827372631
#> 128 128 2.4605385752 -0.210442269 4 310 0.876673091 0.228854905
#> 129 129 0.5889116751 0.016563731 4 92 0.801743340 0.179427741
#> 130 130 2.7020841879 0.585796736 4 106 0.630503920 0.651093929
#> 131 131 2.9756114353 0.692629768 4 346 0.885435044 0.429809458
#> 132 132 0.6751189938 0.381412009 4 381 0.076490801 0.378067446
#> 133 133 1.6700612859 -0.379295161 4 98 0.278351939 0.208494890
#> 134 134 1.1955719099 -0.120653982 4 205 0.513599130 0.954292320
#> 135 135 -0.3434742625 -0.055507363 4 78 0.131955028 0.860280205
#> 136 136 2.1742025367 0.577276530 4 122 0.523862767 0.973719849
#> 137 137 1.7926346197 -0.785857985 4 22 0.969487312 0.466706626
#> 138 138 2.1738263606 0.251803974 4 317 0.190000050 0.339724430
#> 139 139 -0.0598093254 -0.559697031 4 364 0.704611365 0.530093392
#> 140 140 1.7833851689 -0.693920866 4 149 0.599710051 0.999155205
#> 141 141 1.1765697887 -0.154353610 4 351 0.266139205 0.943176162
#> 142 142 1.8295702373 0.670118487 4 189 0.626129395 0.605518135
#> 143 143 0.5911403820 -0.384936810 4 211 0.793091806 0.927354801
#> 144 144 2.7462781941 0.406147024 4 12 0.321380682 0.893351360
#> 145 145 1.6067448982 -0.281626703 4 318 0.408021518 0.638705116
#> 146 146 0.9746021668 0.403733314 4 303 0.984900818 0.253803415
#> 147 147 1.6108702910 -0.165500121 4 312 0.431891697 0.912181411
#> 148 148 2.0718850789 0.447294705 4 232 0.660576137 0.557056368
#> 149 149 2.6646739183 -0.163262512 4 163 0.948908336 0.780186163
#> 150 150 1.4977998928 0.369393559 4 142 0.208544279 0.069006582
#> 151 151 3.1417659578 0.252651476 4 270 0.637502590 0.098853521
#> 152 152 1.1811784205 0.097822868 4 21 0.280247881 0.661317678
#> 153 153 1.8011006604 0.909500522 4 378 0.848924631 0.135636059
#> 154 154 1.6574060714 -0.171794382 4 28 0.177755630 0.167436138
#> 155 155 1.3015655859 -0.719894929 4 233 0.976633715 0.654778631
#> 156 156 1.9309771184 0.893611216 4 214 0.572596184 0.118329190
#> 157 157 1.6656847791 -0.909589589 4 84 0.945631728 0.586905688
#> 158 158 0.0416154146 -0.323621249 4 6 0.711806597 0.842071523
#> 159 159 0.5458885800 -0.295566495 4 140 0.025011613 0.957274865
#> 160 160 2.2402858589 -0.091563680 4 66 0.576920067 0.764513359
#> 161 161 -1.7293566995 -0.596025874 5 109 0.426777728 0.556637970
#> 162 162 -1.4737675706 0.190446927 5 89 0.813934144 0.536495771
#> 163 163 -1.5610951117 0.298002209 5 132 0.887485660 0.626691338
#> 164 164 -2.1621314126 -0.294260283 5 228 0.163828514 0.592790808
#> 165 165 -1.2882487968 0.719399517 5 48 0.117175930 0.521735041
#> 166 166 -3.5025095045 -0.229264270 5 8 0.737874190 0.976791886
#> 167 167 -1.6601329610 -0.223504944 5 217 0.794113613 0.049040931
#> 168 168 -2.2807720212 -0.997129107 5 55 0.831319519 0.292513585
#> 169 169 -2.0453015772 -0.458119868 5 342 0.427433911 0.540400157
#> 170 170 0.5174901607 0.509503296 5 175 0.806067639 0.416620676
#> 171 171 -0.8539164928 -0.684194722 5 124 0.412271343 0.176171409
#> 172 172 -1.5086707586 0.121925024 5 276 0.746556193 0.891736442
#> 173 173 -0.6148736822 0.439103605 5 174 0.511403876 0.342247943
#> 174 174 -2.6750789717 -0.238025524 5 35 0.334882344 0.437102740
#> 175 175 -0.1284789717 0.821595911 5 285 0.936843952 0.744941454
#> 176 176 0.9100708856 0.566759642 5 255 0.632612950 0.600521389
#> 177 177 -3.2317298059 -0.467755805 5 290 0.770488103 0.240578111
#> 178 178 -1.1634021763 -0.315290005 5 354 0.559457841 0.225453021
#> 179 179 -2.8355981261 -0.866365362 5 215 0.236849779 0.993722958
#> 180 180 -2.8826621625 0.172727819 5 334 0.495725901 0.481910271
#> 181 181 -1.4025931510 -0.921040765 5 219 0.949619294 0.063302370
#> 182 182 -3.9011377025 -0.650249360 5 305 0.223710390 0.760851121
#> 183 183 -1.0078019438 0.282767096 5 152 0.162780970 0.431044172
#> 184 184 -1.4224527595 -0.009070189 5 304 0.754424707 0.296296157
#> 185 185 -1.8472542051 0.474967133 5 242 0.592414976 0.013424493
#> 186 186 -3.7341202895 -0.406102508 5 240 0.624615536 0.251177026
#> 187 187 -1.1147030336 -0.836564376 5 375 0.539196556 0.523918862
#> 188 188 -3.1586538873 0.075139496 5 182 0.743040484 0.148867101
#> 189 189 -1.9166437069 0.249494607 5 73 0.262237613 0.316702702
#> 190 190 0.4705410183 0.849658388 5 185 0.331399580 0.839833980
#> 191 191 -0.5675947322 0.774257213 5 190 0.522082963 0.119971033
#> 192 192 -2.6770022004 -0.316853951 5 166 0.832155445 0.760090536
#> 193 193 -0.5407628624 -0.361917059 5 352 0.432953881 0.332260843
#> 194 194 -1.1269162219 0.999048274 5 160 0.825107406 0.417453368
#> 195 195 -3.4677220253 -0.602070477 5 63 0.998549124 0.919108448
#> 196 196 -1.7998652683 -0.179674757 5 103 0.226759504 0.956681234
#> 197 197 -2.6313785639 -0.413153095 5 247 0.697198224 0.015335756
#> 198 198 -0.9827652222 0.301368891 5 210 0.389796487 0.588428319
#> 199 199 0.3413761302 0.465214715 5 42 0.293882672 0.440682358
#> 200 200 -2.6743974319 -0.006091029 5 187 0.772665069 0.696815826
#> 201 201 -1.9264766275 -0.023211761 6 368 0.909452088 0.628377252
#> 202 202 -1.1100547035 -0.988783040 6 180 0.182400096 0.353149581
#> 203 203 0.3963987278 -0.079906644 6 33 0.458299525 0.321283834
#> 204 204 0.6481028497 -0.139896026 6 274 0.725255891 0.316183835
#> 205 205 1.6104011217 0.719350670 6 15 0.647034555 0.095716468
#> 206 206 2.1629294617 0.917726598 6 181 0.539459515 0.246124974
#> 207 207 -0.3938312249 -0.336788596 6 384 0.632663525 0.442805297
#> 208 208 -0.8964844870 -0.332258346 6 266 0.124897468 0.987118737
#> 209 209 1.7409489459 0.974245294 6 137 0.888085389 0.591221257
#> 210 210 0.0004715974 -0.595672138 6 340 0.049992529 0.578233618
#> 211 211 -0.3875830430 -0.344362144 6 328 0.735183547 0.515742210
#> 212 212 0.4165716002 0.014087357 6 119 0.225499913 0.667151587
#> 213 213 1.9125704156 0.622748053 6 332 0.278463945 0.933443905
#> 214 214 1.5272800259 0.945492000 6 338 0.822906884 0.797899236
#> 215 215 0.6959404933 -0.259758239 6 369 0.981663836 0.713379089
#> 216 216 2.9093308157 0.978299851 6 372 0.315529374 0.275894931
#> 217 217 -2.2838095294 -0.357835852 6 341 0.697379634 0.949177742
#> 218 218 -1.3153811591 -0.627212240 6 36 0.297793465 0.333235009
#> 219 219 1.4645649275 0.830723717 6 259 0.225339371 0.990988305
#> 220 220 2.0746450011 -0.186286970 6 144 0.050563496 0.572835023
#> 221 221 0.6464313648 -0.943777059 6 321 0.945434999 0.406925515
#> 222 222 0.4720441274 -0.024790938 6 292 0.285628942 0.789093978
#> 223 223 0.1519920399 0.884053251 6 93 0.889399225 0.921649097
#> 224 224 0.1297186984 0.525742918 6 114 0.536874867 0.360958999
#> 225 225 0.2228779759 -0.686240634 6 213 0.833430656 0.774195389
#> 226 226 2.1398786259 0.707047908 6 293 0.150593095 0.224751743
#> 227 227 0.4428083632 -0.245066269 6 67 0.808454313 0.247084955
#> 228 228 -1.8718501565 -0.754412808 6 253 0.774045815 0.715641871
#> 229 229 0.6232411921 0.984701230 6 241 0.755716476 0.607899674
#> 230 230 2.4435018004 0.890227704 6 335 0.436591344 0.214438916
#> 231 231 -1.9127790679 -0.821883408 6 349 0.356499175 0.916191078
#> 232 232 0.7374140123 -0.251932924 6 257 0.444459650 0.386200055
#> 233 233 1.2142221211 -0.225433295 6 197 0.084779066 0.599775046
#> 234 234 -0.2537662151 -0.068220153 6 291 0.635839117 0.495274486
#> 235 235 0.8716948054 -0.137743199 6 269 0.557800194 0.005254661
#> 236 236 -1.2501169601 -0.045177127 6 327 0.444596420 0.513549084
#> 237 237 0.6915089101 -0.776266795 6 296 0.303717962 0.103288910
#> 238 238 -2.0135235248 -0.851037739 6 273 0.974375217 0.879904547
#> 239 239 -0.3548115225 0.024143525 6 165 0.405549653 0.845451867
#> 240 240 -0.3349725037 0.424738121 6 302 0.190345153 0.391259067
#> 241 241 -1.0030161775 -0.345674729 7 322 0.816002683 0.195804583
#> 242 242 0.5740911658 0.648468758 7 99 0.636232301 0.227449076
#> 243 243 2.2737167520 0.408366826 7 14 0.198836409 0.796950166
#> 244 244 -0.1054663961 -0.101467247 7 139 0.476465123 0.635643932
#> 245 245 -0.6223238071 -0.126769010 7 249 0.534774654 0.201206127
#> 246 246 -0.1512337173 0.418122624 7 151 0.792253567 0.167090485
#> 247 247 0.8794720676 0.072940303 7 198 0.564764901 0.571721231
#> 248 248 2.4930416077 0.745620223 7 388 0.990920453 0.592033742
#> 249 249 1.1290548072 0.945899033 7 314 0.775927445 0.261365898
#> 250 250 -2.9311485200 -0.773415991 7 154 0.390117226 0.394165094
#> 251 251 0.8822474636 0.552283109 7 385 0.167954709 0.688177663
#> 252 252 0.7085053193 -0.010543408 7 220 0.651797447 0.061934513
#> 253 253 -0.2436296540 0.817874928 7 306 0.130255466 0.772500137
#> 254 254 2.2018953752 -0.002159518 7 25 0.002646569 0.855594422
#> 255 255 1.0616317963 -0.005751300 7 117 0.028950130 0.709454323
#> 256 256 0.1550139748 0.941533087 7 279 0.238192132 0.978654336
#> 257 257 -2.0498419775 -0.611252579 7 330 0.926384062 0.880984702
#> 258 258 -0.0259272488 0.149428088 7 271 0.408410540 0.295712494
#> 259 259 1.7286629020 -0.786034081 7 146 0.841044181 0.227892606
#> 260 260 1.9318330284 -0.555106650 7 319 0.380965052 0.529085906
#> 261 261 0.4002890799 0.167673272 7 311 0.280082899 0.130895848
#> 262 262 1.2097413800 0.217203358 7 382 0.456224878 0.113584110
#> 263 263 1.4182575475 0.618308018 7 148 0.415877241 0.205320803
#> 264 264 0.0912342157 -0.414348855 7 320 0.080117341 0.773457630
#> 265 265 -2.4247987513 -0.011787172 7 38 0.959479066 0.977600507
#> 266 266 0.4132062572 0.210008320 7 325 0.209430801 0.884017834
#> 267 267 1.2935472716 -0.981369175 7 170 0.443365302 0.552718918
#> 268 268 -2.2345662772 -0.887031226 7 171 0.543206336 0.068825438
#> 269 269 0.5820622205 0.197640324 7 162 0.393794314 0.543067051
#> 270 270 0.6937892898 0.833259774 7 347 0.089380583 0.633728708
#> 271 271 0.8857663964 0.779249958 7 246 0.775274047 0.917574085
#> 272 272 0.7170110388 0.500783985 7 164 0.686727746 0.607820933
#> 273 273 -0.2761274571 -0.744463840 7 17 0.533691036 0.126673542
#> 274 274 -1.6884170160 -0.081307031 7 229 0.554909657 0.846935223
#> 275 275 2.1817324155 0.492485743 7 281 0.107355350 0.252735643
#> 276 276 1.1110464452 0.240150718 7 158 0.391239515 0.840446878
#> 277 277 1.7231581861 0.587617372 7 53 0.071204484 0.198126314
#> 278 278 -0.0894236901 -0.084832559 7 227 0.520388476 0.043284441
#> 279 279 1.1851806298 -0.987032090 7 10 0.407864919 0.888944472
#> 280 280 -0.3924134674 -0.681723508 7 129 0.554586199 0.230162075
#> 281 281 2.2373691153 -0.426396892 8 131 0.071388772 0.557351700
#> 282 282 2.2588195837 -0.018774461 8 9 0.377558033 0.180605321
#> 283 283 1.8949903938 0.273802950 8 264 0.383102342 0.690485383
#> 284 284 -1.0045115256 -0.766623380 8 2 0.754263102 0.493923238
#> 285 285 -0.6588612384 0.670641705 8 96 0.721917530 0.645306086
#> 286 286 3.2519226654 0.827421416 8 62 0.774969234 0.189330626
#> 287 287 0.6869608047 -0.368013373 8 396 0.104189260 0.121110952
#> 288 288 2.3193386522 0.081922195 8 256 0.177755910 0.908225630
#> 289 289 0.6973375885 -0.685063413 8 91 0.233838799 0.038765313
#> 290 290 1.3472288621 0.474580385 8 222 0.292803099 0.014359211
#> 291 291 0.5579726947 0.627587679 8 376 0.087922857 0.393025198
#> 292 292 3.1191126036 0.806234710 8 216 0.877467365 0.862976007
#> 293 293 0.9400526188 0.153613221 8 268 0.534730539 0.306370613
#> 294 294 0.2924031009 -0.569954921 8 65 0.656948528 0.410798095
#> 295 295 0.3138270419 0.652821897 8 97 0.109330307 0.137424530
#> 296 296 -0.9381093968 0.411506439 8 363 0.185148938 0.533639924
#> 297 297 1.8147058481 0.554327089 8 245 0.544248421 0.840826154
#> 298 298 0.6494343841 0.829478023 8 267 0.254818785 0.439019648
#> 299 299 1.3833720879 -0.462122640 8 153 0.283676129 0.028982357
#> 300 300 -1.5004297684 -0.038428421 8 358 0.570432243 0.838627744
#> 301 301 -0.4523461267 -0.568432902 8 393 0.050181121 0.263827569
#> 302 302 0.5849396841 -0.767410792 8 116 0.250321407 0.484739299
#> 303 303 0.9188850833 0.724155070 8 398 0.628366696 0.859469902
#> 304 304 0.4907165100 0.689320735 8 101 0.240154360 0.826057139
#> 305 305 -0.7433806530 -0.628402040 8 345 0.029413051 0.739400035
#> 306 306 1.1655329427 0.101840752 8 329 0.619564720 0.680186043
#> 307 307 0.2420592364 0.046509337 8 94 0.863253265 0.258406698
#> 308 308 0.5722619987 0.139631978 8 390 0.354023633 0.373055529
#> 309 309 0.5358817782 -0.132728248 8 113 0.860993075 0.287698340
#> 310 310 2.5419443492 0.598161384 8 359 0.722617144 0.425176269
#> 311 311 2.2887046526 0.026283680 8 168 0.583964703 0.642536664
#> 312 312 1.0392469294 0.100888677 8 19 0.329001643 0.753832174
#> 313 313 2.6947753438 0.876770001 8 27 0.892907078 0.517977796
#> 314 314 0.0199563052 -0.573924616 8 202 0.021720276 0.797917077
#> 315 315 1.1814901540 -0.778126566 8 128 0.330070365 0.644349690
#> 316 316 -1.1851387577 -0.819381051 8 143 0.095344199 0.421723428
#> 317 317 1.2079283535 0.786251506 8 275 0.128903962 0.233969054
#> 318 318 -0.5788492744 -0.605482080 8 172 0.284923372 0.387340975
#> 319 319 0.9974499020 0.337834951 8 177 0.569965613 0.974781332
#> 320 320 0.8854433516 -0.648247643 8 239 0.857872083 0.408688809
#> 321 321 0.9733781237 0.946466573 9 108 0.732924646 0.704510938
#> 322 322 -0.7387331297 0.793543984 9 76 0.741394553 0.743028342
#> 323 323 -1.6475451326 0.775397756 9 344 0.150187400 0.274937182
#> 324 324 -3.4898304487 0.324007549 9 394 0.196232723 0.973573834
#> 325 325 -1.1129665680 -0.934222984 9 323 0.724830409 0.460863410
#> 326 326 -1.2710880641 0.090884132 9 191 0.191746160 0.689401392
#> 327 327 -1.4753931405 -0.272338033 9 295 0.517160831 0.483387993
#> 328 328 -0.5115791309 -0.304682940 9 235 0.515510871 0.582961357
#> 329 329 -0.2322945094 0.519634502 9 167 0.691146851 0.331901584
#> 330 330 -0.9097109709 0.730359870 9 100 0.136035874 0.885256504
#> 331 331 0.0211280348 -0.925411427 9 365 0.242689416 0.861937271
#> 332 332 -0.2139917810 0.716726313 9 316 0.912263748 0.917842400
#> 333 333 -2.8872002018 -0.072812617 9 141 0.225042905 0.358048490
#> 334 334 -3.8564897240 -0.919260995 9 324 0.571129189 0.904301176
#> 335 335 -0.9415674515 -0.551164682 9 156 0.812049063 0.523345077
#> 336 336 -0.5136513970 0.366891795 9 231 0.111608875 0.140135821
#> 337 337 0.2512860282 0.630029433 9 367 0.184173395 0.526422704
#> 338 338 -2.7942451942 -0.098724318 9 226 0.985239888 0.945855001
#> 339 339 -2.0094103673 0.553485807 9 34 0.816778390 0.879238688
#> 340 340 1.0485597876 0.040539908 9 199 0.963769663 0.397139917
#> 341 341 0.1146778540 0.174329557 9 50 0.887952083 0.567017840
#> 342 342 -1.6439699919 -0.368595364 9 356 0.373895748 0.225059419
#> 343 343 -2.9349889768 0.251496155 9 374 0.563041377 0.790105329
#> 344 344 0.3225667661 0.440272527 9 71 0.137250729 0.114112485
#> 345 345 -0.1952474298 -0.133033181 9 300 0.895976003 0.066654580
#> 346 346 -1.0482761434 -0.985089811 9 176 0.390262151 0.369988278
#> 347 347 -2.0899546986 -0.308830001 9 184 0.642385267 0.887663493
#> 348 348 -1.1595595879 -0.971973282 9 218 0.714593171 0.253092690
#> 349 349 -1.4340869248 -0.462364659 9 373 0.756457828 0.784087857
#> 350 350 -2.4655834786 -0.796648287 9 243 0.351135535 0.666231206
#> 351 351 -1.7852775652 -0.226105270 9 58 0.937052086 0.881193516
#> 352 352 -0.6513584683 0.850358693 9 102 0.830688994 0.152463909
#> 353 353 -0.2028788063 0.950513679 9 147 0.653607670 0.876478239
#> 354 354 0.1381151720 -0.382792349 9 186 0.091088080 0.050317120
#> 355 355 1.1360269712 -0.758022517 9 313 0.198350588 0.619728358
#> 356 356 -0.6375330096 -0.507970887 9 353 0.505287474 0.468255914
#> 357 357 -2.1681165878 -0.494285155 9 362 0.510512086 0.096143743
#> 358 358 0.2745315911 0.355685287 9 287 0.903782367 0.200198544
#> 359 359 1.6053940716 0.650966406 9 85 0.134163090 0.574931424
#> 360 360 -0.2988754069 0.201523447 9 47 0.493569641 0.931812283
#> 361 361 -2.8629374042 -0.911503378 10 125 0.704906253 0.011095085
#> 362 362 2.4508167159 0.354341811 10 237 0.973413812 0.262755858
#> 363 363 1.0771803101 0.087226461 10 123 0.144163542 0.826059211
#> 364 364 -0.1669700556 -0.820337480 10 221 0.777796790 0.653986538
#> 365 365 1.2780503642 0.305927331 10 391 0.846204267 0.095202180
#> 366 366 1.1779038274 0.039711189 10 161 0.151054085 0.858273535
#> 367 367 -0.1898401962 -0.787401570 10 196 0.357778876 0.688764249
#> 368 368 0.7506148096 -0.173934183 10 135 0.763035401 0.441844132
#> 369 369 1.3781146977 0.754484817 10 13 0.330877602 0.325057025
#> 370 370 1.5649327683 -0.224969251 10 41 0.083600488 0.968953453
#> 371 371 -1.3844514776 -0.724513671 10 236 0.658223748 0.113807721
#> 372 372 1.1761913514 -0.271686515 10 60 0.452121998 0.595439917
#> 373 373 3.3002320121 0.712417297 10 289 0.842516030 0.136179263
#> 374 374 -0.4700221268 -0.960079372 10 77 0.837240164 0.428790701
#> 375 375 0.1582988481 -0.122181615 10 11 0.858927318 0.102414761
#> 376 376 0.9943674965 0.026454147 10 392 0.010806956 0.223561581
#> 377 377 1.1543664986 0.899289449 10 208 0.793108285 0.636788220
#> 378 378 -0.8203010017 -0.157089156 10 31 0.996876454 0.430361844
#> 379 379 1.4541647001 0.012804632 10 61 0.655359063 0.536997793
#> 380 380 1.2280702684 0.064906882 10 225 0.502330978 0.352750443
#> 381 381 -0.5710897348 -0.869950984 10 379 0.550867734 0.059641385
#> 382 382 0.9849758797 -0.992471800 10 360 0.195582491 0.315578865
#> 383 383 -0.1159714397 0.401948140 10 126 0.096643425 0.661188145
#> 384 384 0.2047099838 -0.793782477 10 157 0.462023197 0.953434468
#> 385 385 2.2542267982 0.998230873 10 70 0.128709024 0.849181463
#> 386 386 -0.7538683992 0.523439942 10 118 0.035208930 0.566664174
#> 387 387 1.3113829117 0.973209420 10 284 0.872907625 0.802724727
#> 388 388 3.1064906033 -0.797223896 10 23 0.938788719 0.459602387
#> 389 389 3.5902468763 0.910218849 10 16 0.508080947 0.834302060
#> 390 390 2.1331740182 0.172676509 10 377 0.194483204 0.058073204
#> 391 391 1.2972017697 -0.977083217 10 51 0.731152692 0.699197331
#> 392 392 0.1168350954 0.298535594 10 357 0.182278453 0.719291537
#> 393 393 -0.5676962238 0.313811192 10 20 0.184990244 0.467521125
#> 394 394 0.4701550494 -0.287226739 10 262 0.662935721 0.641344929
#> 395 395 2.5104690664 -0.041875571 10 107 0.521684662 0.636664405
#> 396 396 1.8520348189 0.696486765 10 350 0.931463178 0.479804289
#> 397 397 -0.5499518985 -0.706338650 10 45 0.603042350 0.092056192
#> 398 398 0.9358910107 -0.217576058 10 75 0.105990646 0.156722073
#> 399 399 0.8651362638 -0.562538794 10 272 0.595487528 0.992577198
#> 400 400 -0.7080925228 -0.664566462 10 224 0.422491542 0.210553272
#> expectedMean
#> 1 -1.7114467371
#> 2 -0.3968088982
#> 3 -0.8759307379
#> 4 -0.3483808038
#> 5 -0.8833853916
#> 6 -1.4885252935
#> 7 -1.8956508987
#> 8 -1.1826095657
#> 9 -2.3067512644
#> 10 -2.2947741437
#> 11 -2.0948965984
#> 12 -0.5171416012
#> 13 -1.9434881030
#> 14 -0.8464225369
#> 15 -0.4633818354
#> 16 -1.0279863301
#> 17 -1.8725314561
#> 18 -1.8679917810
#> 19 -1.8773420343
#> 20 -1.0397157205
#> 21 -2.0038248353
#> 22 -0.9886775428
#> 23 -2.0772407704
#> 24 -0.7923875150
#> 25 -0.5699799980
#> 26 -0.7142144960
#> 27 -1.4669014361
#> 28 -1.6136414573
#> 29 -1.5440693802
#> 30 -2.1922146368
#> 31 -2.0334779324
#> 32 -0.5421391997
#> 33 -1.2020919199
#> 34 -1.7741663700
#> 35 -0.6519156500
#> 36 -1.8429629329
#> 37 -0.8749088679
#> 38 -0.4900952798
#> 39 -0.5078505652
#> 40 -1.9502371770
#> 41 -0.5587156615
#> 42 -0.6815329571
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