Extract the response of a fitted model.
Usage
getObservedResponse(object, ...)
# Default S3 method
getObservedResponse(object, ...)
# S3 method for class 'HLfit'
getObservedResponse(object, ...)
# S3 method for class 'phylolm'
getObservedResponse(object, ...)
# S3 method for class 'phyloglm'
getObservedResponse(object, ...)Details
The purpose of this function is to safely extract the observed response (dependent variable) of the fitted model classes.
Examples
testData = createData(sampleSize = 400, family = gaussian())
fittedModel <- lm(observedResponse ~ Environment1 , data = testData)
# response that was used to fit the model
getObservedResponse(fittedModel)
#> [1] 1.3791703417 2.7982771688 4.1917920190 2.6177576796 1.8108953535
#> [6] 2.0567276452 1.8097780125 3.0383907487 2.3901533545 0.4074302435
#> [11] 2.6837711995 0.5661526497 4.8143820801 1.5037933513 2.3090021547
#> [16] 2.4848654643 1.9061191157 3.1112901137 3.2246385641 2.3402940682
#> [21] 2.4785091563 1.3427259820 2.9791108746 2.4582752900 1.6426430819
#> [26] 2.3962889767 0.9771590818 4.3309203722 0.5041334043 2.9825918827
#> [31] 2.5248038940 2.5003142510 3.3067703191 4.3448152394 2.2620958223
#> [36] 1.6954228994 4.1752625800 0.2443808166 2.1272968035 1.4877198458
#> [41] 2.4801371193 1.5680582048 -0.1530912354 1.1210674288 1.0408075179
#> [46] -0.5572431482 2.6721701062 0.1403993001 1.8315245065 1.9575019922
#> [51] 2.7154707991 0.2243643332 -0.6111490308 2.1182517501 1.4312827638
#> [56] -0.4617020750 -0.8474584948 -0.0771362011 -0.8855641932 0.1087744347
#> [61] -0.6440134411 1.8737818763 1.0554380414 0.4333816283 3.8614198950
#> [66] 2.2605640606 0.0004719345 -0.4918261193 0.5205489527 0.6267062922
#> [71] 0.1135273477 -0.3739181990 1.3356115395 2.0675667228 0.6132783694
#> [76] 1.5612535338 1.9626505148 -0.4774919155 -0.8799186085 0.2423128597
#> [81] -0.1865526635 -0.3159974748 -1.9993643423 0.9880273867 0.3488589367
#> [86] 1.0458423312 -1.6966793208 1.1094158987 -2.5024269464 0.0714084591
#> [91] -0.9446364898 -0.9025281579 -1.4074849327 0.4354964402 1.4027153966
#> [96] -1.9597001287 -0.3635753539 -1.2545876744 0.7378420769 1.1779329373
#> [101] -3.1832374750 -0.1809922271 -1.0493050306 -2.0555151942 -0.5355873375
#> [106] -1.1090491768 1.5183975898 1.3126658193 0.5497928179 -0.6152791663
#> [111] -2.8093111843 0.4438204121 0.6655499641 -0.0902858123 0.1117155813
#> [116] -2.2201747504 -0.4000523894 0.0083263567 0.2533305725 -1.8261427101
#> [121] 0.7004219816 0.2466446356 -0.3681406359 2.0251837113 2.1144904893
#> [126] 0.9036599763 0.7513246191 1.3425324730 1.7831454314 1.2307198047
#> [131] -2.2401209180 1.1073322690 1.2963364644 1.9474929808 0.3183896331
#> [136] 0.1818943683 0.8728903690 1.4999257156 0.4937193052 0.7751974872
#> [141] 0.6894069973 -0.5860082230 -1.0636775657 0.4943271373 -1.9003414607
#> [146] 0.7854272117 0.2521466899 -0.2900101167 -1.0049963447 0.2306600577
#> [151] 0.8172778231 -1.8012671472 0.8518210952 1.7227819413 -1.1785086808
#> [156] -0.8128614343 0.2735063893 1.7835944558 0.4648782189 1.1464244852
#> [161] 1.9503944027 0.8394563790 1.0726024927 0.6799674358 1.6211821770
#> [166] 1.6968968082 0.2377069609 1.2845357267 0.5040168263 0.6722387237
#> [171] -0.1940191656 3.6124310745 1.2206637401 1.9092540350 -1.0219252929
#> [176] 1.9423864063 1.6232821520 0.0602598504 0.2809507413 0.9437531669
#> [181] 1.1806894122 1.7561044971 -0.9239646845 1.1840475586 1.6314099098
#> [186] 0.5316443576 1.0456561651 1.3161267681 0.7191289798 -0.3039759664
#> [191] 0.4288660646 -0.3065236407 0.4930599942 2.0633384490 1.3007576966
#> [196] -0.4689145967 1.8034451680 1.4793127903 0.8756256057 1.6551746990
#> [201] 0.7424328646 -2.9981438067 -0.8906136966 -1.2958483296 -0.0910250634
#> [206] -1.3161755414 0.7386461196 2.6787179829 -1.0377842213 -0.0867307718
#> [211] -0.5702775976 -0.6182723891 0.7860139823 0.6120772874 -0.1355607193
#> [216] -1.7636619803 1.2662877794 -0.5552407571 -1.0860634642 -1.9294117453
#> [221] -0.6252953420 0.0461087546 -0.8297076422 0.0259471109 -2.1117376561
#> [226] -1.0904448072 0.4971733541 -1.1159292275 -0.6241302614 -0.6380619682
#> [231] 0.3434673924 -1.6246612829 1.1262829875 -0.1301376362 -0.0271640819
#> [236] -2.2739927159 -1.8881855639 -0.7418874903 0.4250056523 -0.3505208333
#> [241] -1.0577636356 -1.8440890023 -0.6125808120 -1.6288781705 0.0066286879
#> [246] -2.4425982930 -2.0719186964 -1.0359264373 -0.7369247078 0.0534461454
#> [251] -0.4891929142 -0.2621217790 0.5534558567 0.4601954887 -0.2121490226
#> [256] -0.1486659725 -1.0032029649 -1.6987351839 -2.0757872372 -2.0784661153
#> [261] -1.0613294264 -3.9238873388 -1.1690919773 1.3818793344 0.0844534972
#> [266] -1.4398872441 -1.5138774125 -2.0229551615 -2.3496091376 -1.2805427369
#> [271] -0.1438925074 -3.1446109824 0.7762270250 0.0715649785 -2.3644173126
#> [276] -1.2981963931 -1.1828910911 -0.7045762276 -1.2450849574 -2.3131610953
#> [281] 0.5805410634 -1.7611397163 -0.2576331764 -0.8286918312 -0.6732714503
#> [286] 0.1255458168 -0.0448220141 -0.2084709445 -1.8520361630 -0.3502133673
#> [291] 0.7715953519 -0.4871219185 0.9181265559 -1.2356714668 -1.6304857045
#> [296] 0.6703110044 0.7597309494 -0.2596811451 0.7891912673 -0.7783713694
#> [301] -1.6517382323 -0.3021353095 -1.4965449207 2.6374258989 0.1649072583
#> [306] -0.7972672373 -1.2589341373 1.6478970792 -0.8370535294 -2.0014964823
#> [311] -0.3539266670 -0.8588749207 -2.1868251690 1.4374242625 -0.6445413034
#> [316] 0.4631507590 0.9952265409 1.6235896360 -0.8431876768 0.7289096181
#> [321] 1.0082492781 1.3890040745 -1.0694333960 0.7538454268 0.4008310813
#> [326] -2.4993968472 -1.8087338222 0.0256860490 -0.9383060904 -1.3440824122
#> [331] 0.2612589424 -0.7357927413 -0.4513050777 0.1603229421 -0.6014506527
#> [336] 0.3321408889 -2.3172988454 -1.4909994128 2.2610178216 -0.5104829645
#> [341] 1.7578513800 1.0848905778 0.8036481727 -1.3842818165 1.9637038240
#> [346] -0.9339750966 1.2502273547 0.8845637511 0.1471965823 0.6622858758
#> [351] -0.9938574116 -0.0111317449 -0.5768095309 1.1623905768 -3.8478991280
#> [356] -1.1197662459 0.2564777876 2.1295344214 -0.1185194202 0.1650406118
#> [361] -0.1395060191 -0.7326809647 -0.6135173121 0.4023069257 -0.5784474055
#> [366] -0.6427741639 -0.3235114881 1.2122795918 0.0822333934 0.4648810344
#> [371] 0.4017733719 -0.4493362702 0.1413781968 -1.8675403992 -0.3741443124
#> [376] -0.4819105187 1.4871233579 -0.5573393577 0.5414331433 -1.5193364009
#> [381] 2.9507876625 -0.2660527485 0.3223983550 -1.4195194380 -0.1431923303
#> [386] 0.5598058559 0.0263746277 -2.0826965604 -0.9524148039 -1.0265703365
#> [391] 0.3396211499 -0.6589653853 -1.1358583160 -0.2739426372 -0.2724509894
#> [396] -0.6303021826 -1.3587099777 -0.3439782240 0.5000087837 1.9462502288
# 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 2.332786756 1.968651631
#> 2 -1.426394665 0.905296316
#> 3 -1.840041593 -0.998931933
#> 4 -0.429612166 -0.059160770
#> 5 -1.012802300 0.638659875
#> 6 -3.061609556 -1.601665749
#> 7 0.913848350 1.912764543
#> 8 1.547702528 -0.771717606
#> 9 -0.090368095 -1.210095217
#> 10 -0.852034418 -1.102802727
#> 11 0.337630370 1.837885315
#> 12 -1.657742457 0.367668238
#> 13 1.827576583 0.305471138
#> 14 1.252805391 -0.241974122
#> 15 -2.187755717 -0.012512895
#> 16 -0.161983626 0.224103779
#> 17 1.020996303 2.351242424
#> 18 0.863437194 1.158935534
#> 19 1.327500375 0.595240532
#> 20 0.536731116 1.335824356
#> 21 1.290238126 2.557751251
#> 22 -1.660972292 -0.751410936
#> 23 1.395561213 -0.316707013
#> 24 2.101513899 -0.996320269
#> 25 1.812896691 0.059146387
#> 26 1.867722029 1.018124131
#> 27 -0.916006725 0.980901881
#> 28 0.727240267 1.127637730
#> 29 -0.580040379 -2.835434082
#> 30 -0.077015455 1.935660119
#> 31 0.885844113 0.582831834
#> 32 -1.587795147 -3.274380038
#> 33 -3.201453894 -0.243707052
#> 34 0.758636661 2.018147179
#> 35 -0.389581049 0.964428012
#> 36 -0.855286117 0.524291424
#> 37 -0.574299619 -0.164014128
#> 38 -3.058987748 -0.709253744
#> 39 -0.025871129 -1.547412176
#> 40 -1.532890576 1.418170569
#> 41 -1.937031108 -0.277189071
#> 42 1.237914427 2.749681651
#> 43 4.454531937 -1.153924574
#> 44 -0.546530049 -0.960281617
#> 45 1.906552960 -0.253948756
#> 46 -2.073194663 0.307741003
#> 47 0.273647993 2.484775532
#> 48 -1.615817215 -1.063327922
#> 49 -0.352822796 4.710046558
#> 50 0.983972021 1.085795081
#> 51 1.145656751 0.875364194
#> 52 -0.547658765 0.433812262
#> 53 -2.179318927 -1.801497047
#> 54 -0.124284575 0.637162951
#> 55 0.889497051 -0.349871190
#> 56 -3.100930332 -0.549614793
#> 57 -0.779725991 0.182990743
#> 58 0.602828769 0.598344082
#> 59 -2.225252572 2.939384736
#> 60 -2.029097913 -0.335755781
#> 61 0.797033733 -0.881072823
#> 62 0.755708815 2.992957066
#> 63 -1.495744584 -1.257713117
#> 64 -0.507125764 1.422133603
#> 65 0.262361575 0.910360871
#> 66 -0.589565825 0.144321284
#> 67 1.555838621 1.569268003
#> 68 1.078952154 0.839558828
#> 69 1.353387483 0.545426979
#> 70 1.794302166 0.320806132
#> 71 0.101712504 0.783039204
#> 72 -0.796855490 1.675625851
#> 73 3.134066939 -0.507908180
#> 74 0.271929131 2.577077677
#> 75 -0.316725270 -0.992874622
#> 76 0.699922211 -0.833981483
#> 77 1.578397948 1.006585453
#> 78 0.651187554 -0.429716949
#> 79 0.139244162 -1.663571061
#> 80 2.097047552 1.809474280
#> 81 -0.542503653 -2.328622735
#> 82 -0.734753475 0.013460963
#> 83 0.319667708 -2.248219338
#> 84 -1.592067696 0.105145596
#> 85 0.160404196 -0.038724270
#> 86 1.554575233 -0.918506033
#> 87 -1.364532036 0.035681059
#> 88 1.684176080 0.514490284
#> 89 -1.389671813 0.186106803
#> 90 -3.051072895 0.458239559
#> 91 -0.594345820 -3.367222723
#> 92 -2.301867826 -1.803358460
#> 93 -0.013135670 -0.848400881
#> 94 -1.012048437 -0.455901655
#> 95 1.274998334 0.999188604
#> 96 -0.037055074 -1.382372743
#> 97 -0.102315920 0.244373784
#> 98 0.165163748 1.735740517
#> 99 0.763324535 2.697130948
#> 100 0.730214341 -0.818987941
#> 101 2.549488667 1.667072078
#> 102 -0.708774649 -0.329826994
#> 103 2.283453117 -1.749734271
#> 104 -1.031228046 -1.999519075
#> 105 0.676725856 1.921552392
#> 106 -1.616757583 0.894147540
#> 107 1.069764223 1.254567552
#> 108 0.685122445 -1.952357193
#> 109 0.541078442 0.588006503
#> 110 0.267179223 -0.562841847
#> 111 -0.451702633 0.424468894
#> 112 -0.968205346 0.794591015
#> 113 0.333102478 -0.051514107
#> 114 -2.555888393 -0.469340966
#> 115 1.361323389 1.684304733
#> 116 -0.582622891 -0.483188027
#> 117 0.788601872 0.646371674
#> 118 -0.653072081 1.658627483
#> 119 2.044459250 -2.150626221
#> 120 0.452388767 -3.180036422
#> 121 0.414075863 1.605334480
#> 122 2.729137035 3.179324176
#> 123 -0.690657359 0.908432577
#> 124 0.659811224 1.336256166
#> 125 -1.763885329 3.175250708
#> 126 -0.533201080 0.589420727
#> 127 -1.174758755 1.454596420
#> 128 1.980966283 0.046894074
#> 129 3.982804597 2.216226270
#> 130 1.373509564 2.665859136
#> 131 1.200336063 -1.739470266
#> 132 -1.057777096 1.904330254
#> 133 -0.058306956 -0.434666472
#> 134 -0.534078077 0.857294827
#> 135 0.102793799 2.847009415
#> 136 1.899253455 1.629918579
#> 137 -0.043418065 -0.392726204
#> 138 -0.244716212 -0.113329975
#> 139 -0.810011474 0.133084474
#> 140 -1.347769853 2.176729296
#> 141 -0.614836459 0.062716384
#> 142 2.185897393 2.083212907
#> 143 0.205229619 0.689175058
#> 144 1.377572328 -0.841584547
#> 145 -1.742273618 -1.975036291
#> 146 1.054778766 0.976835621
#> 147 -0.448854547 0.085715173
#> 148 -2.526449230 -0.915932380
#> 149 -3.072624911 0.600202458
#> 150 1.803118154 0.948504929
#> 151 0.276249388 0.424576761
#> 152 -0.718483464 -2.046711953
#> 153 0.609252570 1.807246944
#> 154 0.082090823 3.270342756
#> 155 0.081080638 -2.281405780
#> 156 -1.247103677 0.431083735
#> 157 -0.437858853 0.857536221
#> 158 1.316922676 0.722117293
#> 159 1.259756180 -0.414988370
#> 160 1.959528782 1.423896260
#> 161 1.954069238 1.231927541
#> 162 0.475132935 0.517349294
#> 163 1.089112869 0.022388317
#> 164 0.136540287 1.156585129
#> 165 -0.629660595 0.166826217
#> 166 -1.187696689 0.428899220
#> 167 0.996839496 1.417863791
#> 168 -0.798612796 0.604457798
#> 169 1.641382795 0.075878254
#> 170 0.573336071 -1.722552504
#> 171 -1.070192129 -0.012781485
#> 172 0.337410735 3.186662473
#> 173 -1.338344061 -0.601256600
#> 174 1.254793592 -0.488976928
#> 175 2.737878935 1.535936960
#> 176 -1.228420305 -0.593091296
#> 177 0.001466469 -2.013220213
#> 178 -0.387836904 -0.754426578
#> 179 0.941688750 0.005739712
#> 180 -0.556556401 2.911225144
#> 181 0.612710626 1.710348863
#> 182 -0.490060381 0.698423289
#> 183 -2.241862792 -1.117345425
#> 184 1.808943463 -0.887412923
#> 185 1.958574479 1.474460302
#> 186 0.017022008 2.067500442
#> 187 -2.241267725 1.340380221
#> 188 -2.392008709 -0.038325255
#> 189 1.612008195 1.265147378
#> 190 -1.659450270 -1.497729251
#> 191 0.880396676 0.236855104
#> 192 2.093148510 -2.598579904
#> 193 -1.944816587 0.675155888
#> 194 -1.043389672 0.912600263
#> 195 1.950803351 1.149366055
#> 196 -2.206964942 0.136145562
#> 197 -1.254226364 2.056939851
#> 198 -0.249581705 0.967465295
#> 199 0.737654263 0.647758600
#> 200 -1.706874936 1.967064303
#> 201 -0.741488045 0.160227202
#> 202 -0.258369645 -0.789196152
#> 203 3.490653025 0.003864830
#> 204 -0.401083699 1.513095572
#> 205 -1.556179856 0.937332780
#> 206 0.596869406 -2.019852434
#> 207 -0.059900112 0.528439996
#> 208 0.963590430 2.351117406
#> 209 -3.346387832 0.410376523
#> 210 1.238928851 -0.381291949
#> 211 -0.905043922 -0.791127944
#> 212 0.090593201 0.499565403
#> 213 2.352370002 1.177907911
#> 214 1.736280573 -1.880092735
#> 215 -3.577527437 -3.934690819
#> 216 -0.655314235 -1.307821956
#> 217 0.670896076 -0.776731849
#> 218 0.488054557 -0.449875643
#> 219 2.682412904 0.413654563
#> 220 0.121490210 0.390689888
#> 221 -2.861696829 -2.419546832
#> 222 -1.336455208 0.378620294
#> 223 -0.331868757 0.721906344
#> 224 1.248235009 0.041317410
#> 225 -1.604147086 -0.269219078
#> 226 2.362137064 -1.191435546
#> 227 1.936793982 0.891116855
#> 228 -1.201391040 0.826451359
#> 229 2.883656372 -0.460656777
#> 230 1.080226820 0.324901308
#> 231 0.342863092 1.218523074
#> 232 -0.372496945 -2.480443524
#> 233 1.694848456 3.349934761
#> 234 2.183385018 -1.949368235
#> 235 -0.493637313 -0.003900126
#> 236 -0.562178086 -1.750341883
#> 237 0.416717211 0.966118701
#> 238 -1.990541712 -0.278729993
#> 239 2.250966944 -0.793852639
#> 240 0.204095242 0.499658317
#> 241 -1.815405044 -0.225371366
#> 242 -0.570563630 2.435923122
#> 243 1.321472981 2.976035020
#> 244 0.220357023 0.943081825
#> 245 1.186234519 0.785571561
#> 246 -0.358025783 0.661063952
#> 247 -1.189589697 -3.038255287
#> 248 0.771291505 1.210267506
#> 249 0.333603620 -1.641815023
#> 250 0.812268069 -0.332376955
#> 251 -0.756784860 -0.985619050
#> 252 -0.571003720 1.756640801
#> 253 0.719732352 -1.563134207
#> 254 2.907826430 4.107228591
#> 255 0.491572919 0.516552493
#> 256 0.983760024 1.338455522
#> 257 -0.526010671 0.705055971
#> 258 -1.095193552 1.044699375
#> 259 -2.200594152 0.742455533
#> 260 1.439975320 2.312431065
#> 261 0.082511053 0.474279746
#> 262 -2.067627656 0.196742813
#> 263 2.164204612 -1.521381178
#> 264 1.419140312 0.663252696
#> 265 0.979508949 -2.041475820
#> 266 1.300477812 -1.207991646
#> 267 -0.242227581 -0.442270545
#> 268 -0.952198554 -0.690335469
#> 269 0.008809535 0.941903101
#> 270 -0.372862653 -3.364968087
#> 271 -2.332202266 0.312600418
#> 272 -1.103037273 -1.678325203
#> 273 0.279844591 1.944374437
#> 274 -0.120404127 -0.663799015
#> 275 -3.275888583 0.965661813
#> 276 1.236222323 -2.261535539
#> 277 1.821195661 1.134755599
#> 278 0.717327953 0.778310193
#> 279 2.924302426 -0.682192052
#> 280 0.631039419 -0.590609503
#> 281 0.827778456 -2.651254543
#> 282 -1.573062636 1.121116696
#> 283 1.979298524 -1.157740267
#> 284 -0.623551107 1.167944365
#> 285 -0.201635984 -0.781038084
#> 286 1.628079758 -0.496931307
#> 287 1.734269740 -1.147429827
#> 288 -1.552278331 -1.006737237
#> 289 1.050927785 -2.340836221
#> 290 0.276196832 -0.670512473
#> 291 -0.891109949 0.770109705
#> 292 -1.292279157 0.892537319
#> 293 -2.502768783 -0.274482551
#> 294 2.305169042 -1.007689840
#> 295 -1.518509828 -0.770157740
#> 296 1.807724538 -0.767758948
#> 297 0.563889496 1.418636212
#> 298 -0.941797520 2.225504250
#> 299 1.102093965 0.352908100
#> 300 0.043566893 2.066151780
#> 301 1.349953167 0.562223079
#> 302 -0.037830230 -1.411845459
#> 303 1.993395249 0.835741084
#> 304 -0.552471422 3.000777468
#> 305 2.353001381 4.354598309
#> 306 -3.150741522 1.488886827
#> 307 -1.455997320 -0.440423554
#> 308 0.627358484 -0.847893368
#> 309 0.547720007 0.392951498
#> 310 0.538953124 -0.057196283
#> 311 -0.198772213 -1.236818515
#> 312 -0.988619705 -0.025561208
#> 313 0.176230204 -1.051604032
#> 314 1.205164802 -2.356218784
#> 315 -1.316570608 0.450100436
#> 316 0.679963827 -0.412875273
#> 317 1.301982058 -0.358386772
#> 318 4.233655549 1.925797998
#> 319 0.855491921 -1.965819184
#> 320 -1.797228812 -2.690055662
#> 321 2.253593970 1.850562904
#> 322 0.061562489 0.272049728
#> 323 0.083555221 -2.478304801
#> 324 1.212740403 0.556043886
#> 325 1.202469260 -1.070949200
#> 326 -0.994621250 0.280591944
#> 327 -0.919210201 1.709386805
#> 328 -0.301718191 1.602364163
#> 329 -0.555566688 -0.055427840
#> 330 1.629182034 0.181519925
#> 331 1.458687945 1.136961582
#> 332 -1.060783140 0.589503075
#> 333 1.404337856 0.293489895
#> 334 1.030932022 0.188812855
#> 335 -0.541110868 -2.050420312
#> 336 0.076173714 -1.132145204
#> 337 2.146462620 -1.116244725
#> 338 0.309500761 -0.949319519
#> 339 -0.401630223 0.796662542
#> 340 1.806451060 -0.688880211
#> 341 -0.989990789 0.835745688
#> 342 1.053183419 3.593826888
#> 343 0.024219104 -0.219587050
#> 344 0.272972472 1.140201347
#> 345 1.380802224 1.595271169
#> 346 0.126875554 1.086460254
#> 347 0.340875643 -1.211855025
#> 348 -0.857344693 2.736599242
#> 349 1.833217958 1.994961510
#> 350 1.286965259 -0.238459651
#> 351 -0.844440056 1.856131465
#> 352 -0.264473501 0.197250234
#> 353 1.572125486 1.561107386
#> 354 -1.296389106 -0.587403750
#> 355 0.326276032 -0.750883031
#> 356 2.999388480 1.648748802
#> 357 2.067961781 -0.284173793
#> 358 -0.106254049 2.199754012
#> 359 1.298995607 1.616530045
#> 360 -2.901895278 0.908452040
#> 361 0.519812776 -0.571407152
#> 362 -1.145130299 -0.840031206
#> 363 1.851199625 -3.340886362
#> 364 1.090920595 4.005347922
#> 365 2.099989798 0.582594068
#> 366 0.227450579 -0.462708219
#> 367 1.108636640 -0.020094805
#> 368 -0.788183461 0.540630127
#> 369 1.685796115 -0.087234356
#> 370 -0.546760304 1.699003878
#> 371 1.384325916 -0.465845191
#> 372 1.472306295 3.581766975
#> 373 -1.827723720 -0.139744782
#> 374 1.119494036 -0.523707131
#> 375 0.013368603 0.584203797
#> 376 0.207104458 2.733419289
#> 377 -0.132816551 0.625040740
#> 378 0.086747000 -0.145685565
#> 379 -1.528618748 -0.951998323
#> 380 -1.308979174 1.470459735
#> 381 2.269083781 1.554692793
#> 382 -1.410008079 -0.798559564
#> 383 2.814353860 0.516624434
#> 384 0.846312391 -1.009902155
#> 385 -0.072281894 0.948812835
#> 386 -0.381850050 -1.350041896
#> 387 0.081630491 -0.301883099
#> 388 -1.437921824 0.542876998
#> 389 -0.580875908 0.170733955
#> 390 -0.524638455 0.617915618
#> 391 0.949270972 -2.984493869
#> 392 -0.626974148 -1.099100197
#> 393 0.557179877 -1.202698699
#> 394 0.832349133 0.816798134
#> 395 2.090387218 0.065016449
#> 396 -1.677370622 1.623468644
#> 397 0.255551807 2.201626663
#> 398 -1.127423254 2.281917614
#> 399 1.608904547 0.873339573
#> 400 0.655776402 0.540629313
# 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
#> 0.3346 1.0774
#>
getRefit(fittedModel, getObservedResponse(fittedModel))
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> 0.2541 1.0748
#>
# get data frame that was used to fit the model
getData(fittedModel)
#> ID observedResponse Environment1 group time x y
#> 1 1 1.3791703417 0.934674631 1 241 0.343760489 0.8138067662
#> 2 2 2.7982771688 0.107672156 1 195 0.608027165 0.0588579825
#> 3 3 4.1917920190 0.289222265 1 318 0.533740955 0.2250840771
#> 4 4 2.6177576796 0.442517783 1 223 0.687790523 0.9276894073
#> 5 5 1.8108953535 -0.855932785 1 6 0.092051500 0.5723735134
#> 6 6 2.0567276452 -0.397802941 1 343 0.509795235 0.5432620938
#> 7 7 1.8097780125 0.337756374 1 387 0.059856950 0.0599211992
#> 8 8 3.0383907487 -0.046995590 1 113 0.585106000 0.7984069837
#> 9 9 2.3901533545 -0.962597694 1 180 0.760012108 0.0007562486
#> 10 10 0.4074302435 -0.974708665 1 376 0.881101525 0.1472567203
#> 11 11 2.6837711995 0.181331705 1 260 0.260098263 0.4865368956
#> 12 12 0.5661526497 -0.736109423 1 191 0.774041096 0.7701678940
#> 13 13 4.8143820801 0.709259074 1 272 0.528761314 0.9147109771
#> 14 14 1.5037933513 0.907991378 1 186 0.173353383 0.5150264117
#> 15 15 2.3090021547 -0.474664882 1 115 0.629929477 0.7689154672
#> 16 16 2.4848654643 0.243902342 1 174 0.108635499 0.4928434526
#> 17 17 1.9061191157 0.572721739 1 184 0.880153391 0.5772343979
#> 18 18 3.1112901137 0.278140165 1 177 0.395524085 0.9047421000
#> 19 19 3.2246385641 0.388278101 1 131 0.984920565 0.8709982065
#> 20 20 2.3402940682 0.889632803 1 354 0.274652344 0.1657663607
#> 21 21 2.4785091563 0.774682243 1 130 0.029482455 0.6571063057
#> 22 22 1.3427259820 -0.379638059 1 65 0.157517690 0.9868461001
#> 23 23 2.9791108746 0.648281712 1 188 0.648557127 0.1230036991
#> 24 24 2.4582752900 0.873094894 1 127 0.348705631 0.4447233402
#> 25 25 1.6426430819 -0.634408402 1 353 0.011981713 0.5719777762
#> 26 26 2.3962889767 0.342052237 1 52 0.918392498 0.8904998514
#> 27 27 0.9771590818 0.090115853 1 247 0.480554624 0.7967054853
#> 28 28 4.3309203722 0.651323501 1 209 0.316440120 0.7887614234
#> 29 29 0.5041334043 -0.909086491 1 365 0.889256543 0.9087954238
#> 30 30 2.9825918827 -0.013025537 1 78 0.368122389 0.0487591468
#> 31 31 2.5248038940 0.436425267 1 18 0.648612290 0.4054635610
#> 32 32 2.5003142510 -0.939910458 1 285 0.013960472 0.9330462932
#> 33 33 3.3067703191 -0.532861277 1 151 0.450142412 0.6759757269
#> 34 34 4.3448152394 0.897216594 1 2 0.787436404 0.1008923068
#> 35 35 2.2620958223 0.026690859 1 373 0.871074847 0.2169758044
#> 36 36 1.6954228994 -0.537359749 1 243 0.328084502 0.9359097132
#> 37 37 4.1752625800 -0.782970672 1 87 0.157303546 0.6580629074
#> 38 38 0.2443808166 -0.787947307 1 205 0.351820318 0.9526305718
#> 39 39 2.1272968035 -0.200181923 1 11 0.425164486 0.4188451974
#> 40 40 1.4877198458 -0.661433091 1 395 0.456895982 0.5985850210
#> 41 41 2.4801371193 -0.971982371 2 55 0.343871392 0.3823453106
#> 42 42 1.5680582048 0.949894750 2 179 0.605214022 0.0250141777
#> 43 43 -0.1530912354 0.977395075 2 145 0.934253266 0.7563959854
#> 44 44 1.1210674288 0.950935313 2 198 0.922015382 0.3303012517
#> 45 45 1.0408075179 0.171776151 2 309 0.565038545 0.8944312416
#> 46 46 -0.5572431482 -0.720112429 2 279 0.469853930 0.9867534149
#> 47 47 2.6721701062 0.505418847 2 294 0.880438617 0.5096856044
#> 48 48 0.1403993001 -0.959048472 2 95 0.557344481 0.9473960395
#> 49 49 1.8315245065 0.859588722 2 295 0.993248728 0.0943011662
#> 50 50 1.9575019922 0.947758911 2 396 0.645450613 0.3102914472
#> 51 51 2.7154707991 0.499292515 2 37 0.470005562 0.2524136265
#> 52 52 0.2243643332 0.997126216 2 204 0.400491261 0.0144316149
#> 53 53 -0.6111490308 -0.944319137 2 240 0.325083071 0.8186300157
#> 54 54 2.1182517501 0.465988462 2 53 0.869897594 0.3216538562
#> 55 55 1.4312827638 0.516315462 2 126 0.537131128 0.3663566057
#> 56 56 -0.4617020750 -0.664901547 2 399 0.064550213 0.7315303271
#> 57 57 -0.8474584948 -0.612301346 2 319 0.678396745 0.6644342726
#> 58 58 -0.0771362011 -0.211162645 2 183 0.725226965 0.8531792709
#> 59 59 -0.8855641932 0.494405596 2 364 0.421182085 0.3339448299
#> 60 60 0.1087744347 -0.706733036 2 154 0.411080620 0.3043068426
#> 61 61 -0.6440134411 -0.265803230 2 169 0.226159354 0.7644329981
#> 62 62 1.8737818763 -0.022124594 2 194 0.229473481 0.0882153623
#> 63 63 1.0554380414 -0.247707096 2 221 0.546890519 0.2390839786
#> 64 64 0.4333816283 0.210462182 2 312 0.401581044 0.0509722072
#> 65 65 3.8614198950 0.993452723 2 213 0.954251433 0.9770434690
#> 66 66 2.2605640606 0.824424923 2 14 0.368425861 0.8698387148
#> 67 67 0.0004719345 0.549678692 2 58 0.872020780 0.9375862149
#> 68 68 -0.4918261193 0.496208676 2 212 0.434648419 0.3403435142
#> 69 69 0.5205489527 -0.210298560 2 155 0.210826228 0.9542747226
#> 70 70 0.6267062922 0.605138104 2 316 0.124683663 0.0509373792
#> 71 71 0.1135273477 0.215769414 2 259 0.766103793 0.9479968706
#> 72 72 -0.3739181990 -0.625797538 2 114 0.691001395 0.2925306933
#> 73 73 1.3356115395 0.039539762 2 83 0.723604502 0.7759878621
#> 74 74 2.0675667228 0.234689895 2 51 0.050231582 0.8319919722
#> 75 75 0.6132783694 -0.604515067 2 139 0.388840391 0.0670338427
#> 76 76 1.5612535338 0.176157651 2 4 0.124857636 0.6210180968
#> 77 77 1.9626505148 0.221788705 2 63 0.767271054 0.0949302490
#> 78 78 -0.4774919155 0.299121466 2 100 0.427884868 0.6555004166
#> 79 79 -0.8799186085 0.021367626 2 75 0.650837029 0.3849018465
#> 80 80 0.2423128597 0.589052220 2 389 0.415942435 0.7336500976
#> 81 81 -0.1865526635 -0.407252497 3 333 0.237888111 0.4977549626
#> 82 82 -0.3159974748 0.256886700 3 338 0.184224588 0.7767928834
#> 83 83 -1.9993643423 -0.711907821 3 289 0.718042587 0.1135976948
#> 84 84 0.9880273867 0.283526924 3 224 0.473523092 0.1160874958
#> 85 85 0.3488589367 0.318051020 3 109 0.895408520 0.8141980802
#> 86 86 1.0458423312 0.127035252 3 363 0.582066406 0.2011457535
#> 87 87 -1.6966793208 -0.891476201 3 196 0.379687296 0.9334869599
#> 88 88 1.1094158987 0.145716619 3 275 0.348821752 0.8714882904
#> 89 89 -2.5024269464 -0.766411259 3 167 0.850642732 0.5936836172
#> 90 90 0.0714084591 0.173571518 3 234 0.219134031 0.0411093414
#> 91 91 -0.9446364898 -0.700411997 3 206 0.894415976 0.1830036726
#> 92 92 -0.9025281579 -0.597768073 3 36 0.257886240 0.2517532273
#> 93 93 -1.4074849327 -0.566030758 3 149 0.157587184 0.8251243499
#> 94 94 0.4354964402 -0.657660884 3 32 0.175914609 0.9980004015
#> 95 95 1.4027153966 0.827708423 3 304 0.380560555 0.5614902547
#> 96 96 -1.9597001287 -0.115015840 3 274 0.586337563 0.3731640796
#> 97 97 -0.3635753539 -0.166240248 3 25 0.361668843 0.8422552014
#> 98 98 -1.2545876744 -0.337928118 3 107 0.048376362 0.6223799114
#> 99 99 0.7378420769 0.088583016 3 163 0.104833711 0.1541991571
#> 100 100 1.1779329373 0.895893445 3 185 0.615057103 0.8721936410
#> 101 101 -3.1832374750 0.303802567 3 98 0.283548291 0.3670605049
#> 102 102 -0.1809922271 -0.255746622 3 146 0.447567595 0.7081210294
#> 103 103 -1.0493050306 -0.922960180 3 356 0.838216595 0.2500165880
#> 104 104 -2.0555151942 -0.914555402 3 292 0.287976668 0.7401034175
#> 105 105 -0.5355873375 -0.479469406 3 134 0.054683105 0.6402800961
#> 106 106 -1.1090491768 -0.162061576 3 214 0.301091050 0.1036257087
#> 107 107 1.5183975898 0.901663534 3 161 0.234806509 0.0088589881
#> 108 108 1.3126658193 -0.094402083 3 269 0.972592750 0.7296057174
#> 109 109 0.5497928179 0.300996395 3 70 0.726331047 0.0921667507
#> 110 110 -0.6152791663 -0.088247866 3 121 0.257148058 0.9156578993
#> 111 111 -2.8093111843 -0.450223763 3 264 0.314930043 0.2248770799
#> 112 112 0.4438204121 0.024917145 3 283 0.361025358 0.4417698381
#> 113 113 0.6655499641 0.653704470 3 251 0.945962978 0.3500052828
#> 114 114 -0.0902858123 -0.482199286 3 93 0.988554461 0.9532572809
#> 115 115 0.1117155813 0.836499805 3 265 0.245002951 0.5744931754
#> 116 116 -2.2201747504 -0.718654157 3 326 0.263334969 0.7213943778
#> 117 117 -0.4000523894 0.264255131 3 187 0.765186002 0.0654628107
#> 118 118 0.0083263567 0.949424803 3 81 0.128263687 0.8513864069
#> 119 119 0.2533305725 0.103924752 3 34 0.286668472 0.6559511377
#> 120 120 -1.8261427101 -0.855788562 3 341 0.495490463 0.0322183082
#> 121 121 0.7004219816 0.326760164 4 176 0.219694976 0.5362270819
#> 122 122 0.2466446356 0.899161634 4 160 0.932510140 0.2130268801
#> 123 123 -0.3681406359 0.707861654 4 250 0.952101536 0.5200575239
#> 124 124 2.0251837113 0.750821489 4 104 0.985033948 0.1444327927
#> 125 125 2.1144904893 -0.277508226 4 229 0.422765833 0.4755736194
#> 126 126 0.9036599763 -0.176801792 4 89 0.074707914 0.1500297384
#> 127 127 0.7513246191 0.377417659 4 182 0.466410562 0.3022463468
#> 128 128 1.3425324730 0.852390194 4 99 0.070498066 0.0558965220
#> 129 129 1.7831454314 0.998169680 4 41 0.308072760 0.6052904585
#> 130 130 1.2307198047 0.911372742 4 327 0.986006872 0.1294356280
#> 131 131 -2.2401209180 -0.780334752 4 101 0.111968174 0.7487798636
#> 132 132 1.1073322690 -0.882103065 4 116 0.983571080 0.7540415647
#> 133 133 1.2963364644 -0.501214710 4 173 0.139695019 0.5148044599
#> 134 134 1.9474929808 0.992201061 4 328 0.207860822 0.3992151625
#> 135 135 0.3183896331 -0.348457219 4 31 0.013770889 0.2074392363
#> 136 136 0.1818943683 -0.250639203 4 314 0.464188459 0.5136160490
#> 137 137 0.8728903690 0.864042833 4 57 0.683201773 0.3388787906
#> 138 138 1.4999257156 0.827620901 4 337 0.033576230 0.9563087285
#> 139 139 0.4937193052 0.568110412 4 200 0.005340988 0.8335353562
#> 140 140 0.7751974872 0.054942234 4 72 0.936127003 0.4271417931
#> 141 141 0.6894069973 -0.217630568 4 280 0.072507829 0.4050671409
#> 142 142 -0.5860082230 0.245605826 4 68 0.457601469 0.3469583939
#> 143 143 -1.0636775657 -0.785620201 4 261 0.217974244 0.2540557794
#> 144 144 0.4943271373 0.630633875 4 377 0.527286525 0.8607817255
#> 145 145 -1.9003414607 -0.760588687 4 158 0.702970251 0.6063948839
#> 146 146 0.7854272117 -0.710487123 4 181 0.419526039 0.0184324547
#> 147 147 0.2521466899 -0.370961844 4 215 0.083484619 0.1654726290
#> 148 148 -0.2900101167 0.106579288 4 300 0.612487351 0.7436108906
#> 149 149 -1.0049963447 -0.716760932 4 400 0.699505263 0.7212502917
#> 150 150 0.2306600577 0.376378587 4 355 0.395073702 0.7478626901
#> 151 151 0.8172778231 0.129391456 4 238 0.183264871 0.9677658021
#> 152 152 -1.8012671472 -0.795406480 4 336 0.140546123 0.8220702768
#> 153 153 0.8518210952 -0.021830961 4 56 0.265157194 0.9371052207
#> 154 154 1.7227819413 0.525917191 4 153 0.178722512 0.9279298047
#> 155 155 -1.1785086808 -0.459450605 4 310 0.741373316 0.2124602555
#> 156 156 -0.8128614343 0.030326801 4 110 0.530544632 0.5411760823
#> 157 157 0.2735063893 0.587110300 4 211 0.441800255 0.7605873155
#> 158 158 1.7835944558 0.806094834 4 210 0.238561272 0.6822525011
#> 159 159 0.4648782189 0.764120769 4 331 0.132467657 0.0455857771
#> 160 160 1.1464244852 0.815919997 4 291 0.710731493 0.8499144348
#> 161 161 1.9503944027 0.314171314 5 287 0.735633055 0.3793525361
#> 162 162 0.8394563790 0.340252171 5 150 0.697494420 0.4216068385
#> 163 163 1.0726024927 -0.110245340 5 44 0.985248500 0.9275750613
#> 164 164 0.6799674358 0.842460371 5 170 0.271829655 0.0033457498
#> 165 165 1.6211821770 -0.275029591 5 128 0.854710674 0.9001792008
#> 166 166 1.6968968082 0.480003045 5 60 0.050539242 0.9748316426
#> 167 167 0.2377069609 -0.947404675 5 142 0.384612602 0.3404515719
#> 168 168 1.2845357267 -0.205076079 5 392 0.963315804 0.7554497041
#> 169 169 0.5040168263 -0.295192128 5 359 0.114577047 0.7869611885
#> 170 170 0.6722387237 -0.389570379 5 311 0.214579944 0.2371049344
#> 171 171 -0.1940191656 -0.981167179 5 253 0.946975927 0.9599634642
#> 172 172 3.6124310745 0.887397265 5 332 0.578766883 0.4880061499
#> 173 173 1.2206637401 -0.544868313 5 166 0.302884857 0.4987962020
#> 174 174 1.9092540350 -0.070032493 5 345 0.815474797 0.5925305274
#> 175 175 -1.0219252929 0.106225468 5 203 0.304040156 0.9412048978
#> 176 176 1.9423864063 -0.833956525 5 370 0.935942806 0.9019182371
#> 177 177 1.6232821520 0.499141546 5 239 0.606868674 0.9618501463
#> 178 178 0.0602598504 0.434606631 5 3 0.625981688 0.0400969307
#> 179 179 0.2809507413 0.038496245 5 330 0.847776794 0.2593858847
#> 180 180 0.9437531669 0.649377704 5 366 0.338602936 0.0685282939
#> 181 181 1.1806894122 0.081503472 5 10 0.789680507 0.7493287774
#> 182 182 1.7561044971 -0.068452121 5 27 0.065921327 0.1859640367
#> 183 183 -0.9239646845 -0.725152648 5 219 0.155403641 0.6840644164
#> 184 184 1.1840475586 -0.486879877 5 230 0.956168366 0.7474630435
#> 185 185 1.6314099098 0.071297654 5 378 0.942405852 0.2956987768
#> 186 186 0.5316443576 -0.285349072 5 193 0.829262977 0.0276997436
#> 187 187 1.0456561651 -0.177616008 5 379 0.120551520 0.2348163298
#> 188 188 1.3161267681 -0.360878274 5 284 0.401624526 0.9961560622
#> 189 189 0.7191289798 0.782321218 5 242 0.892069610 0.8139842215
#> 190 190 -0.3039759664 -0.857542915 5 112 0.709651504 0.7157235257
#> 191 191 0.4288660646 0.264148717 5 299 0.645272263 0.8651174270
#> 192 192 -0.3065236407 -0.691327455 5 33 0.640419214 0.4042857231
#> 193 193 0.4930599942 -0.181633852 5 262 0.362429793 0.9740824627
#> 194 194 2.0633384490 -0.332031127 5 325 0.575642395 0.0591335658
#> 195 195 1.3007576966 0.660850403 5 29 0.030643271 0.1008577966
#> 196 196 -0.4689145967 -0.813025100 5 38 0.185131185 0.7248859012
#> 197 197 1.8034451680 0.919101680 5 383 0.585926823 0.5128216629
#> 198 198 1.4793127903 -0.290388993 5 21 0.635097459 0.1573860627
#> 199 199 0.8756256057 0.427625707 5 268 0.275458407 0.2995279795
#> 200 200 1.6551746990 -0.198446469 5 80 0.114624921 0.9787100530
#> 201 201 0.7424328646 -0.796894565 6 48 0.455762550 0.5797461320
#> 202 202 -2.9981438067 -0.972327588 6 222 0.021817201 0.7287449019
#> 203 203 -0.8906136966 0.480833644 6 23 0.620343413 0.7741041216
#> 204 204 -1.2958483296 -0.148541424 6 305 0.264614534 0.1432732902
#> 205 205 -0.0910250634 -0.795911770 6 30 0.372632232 0.8542095509
#> 206 206 -1.3161755414 0.469515515 6 77 0.893725656 0.0726219150
#> 207 207 0.7386461196 0.177226758 6 97 0.673749919 0.4803824103
#> 208 208 2.6787179829 0.975856107 6 324 0.778597174 0.2031684681
#> 209 209 -1.0377842213 -0.038152578 6 386 0.349402525 0.1934172891
#> 210 210 -0.0867307718 -0.436556737 6 226 0.111867743 0.4383580461
#> 211 211 -0.5702775976 -0.483211802 6 7 0.856154604 0.6071009992
#> 212 212 -0.6182723891 -0.471585185 6 391 0.287560761 0.7800418760
#> 213 213 0.7860139823 0.888159722 6 168 0.327206258 0.9762538902
#> 214 214 0.6120772874 -0.240891295 6 277 0.811065803 0.7621244765
#> 215 215 -0.1355607193 -0.884781845 6 281 0.080011505 0.7653971193
#> 216 216 -1.7636619803 -0.310617747 6 28 0.677453280 0.2950749469
#> 217 217 1.2662877794 0.443949274 6 235 0.086189785 0.9976133383
#> 218 218 -0.5552407571 -0.737936629 6 122 0.709992564 0.1348311214
#> 219 219 -1.0860634642 0.655554786 6 384 0.681089120 0.1022378628
#> 220 220 -1.9294117453 -0.892329755 6 271 0.375697710 0.9238205401
#> 221 221 -0.6252953420 -0.052180087 6 67 0.514970917 0.2160138523
#> 222 222 0.0461087546 0.444696847 6 42 0.278489218 0.5123593484
#> 223 223 -0.8297076422 0.301834399 6 141 0.516078784 0.6116343441
#> 224 224 0.0259471109 0.903648550 6 220 0.137705319 0.0206912048
#> 225 225 -2.1117376561 -0.914848290 6 152 0.179979388 0.4327879325
#> 226 226 -1.0904448072 0.746555819 6 303 0.334773971 0.2793917330
#> 227 227 0.4971733541 0.136239027 6 315 0.929267041 0.4983263670
#> 228 228 -1.1159292275 0.216890587 6 266 0.893752965 0.3228753866
#> 229 229 -0.6241302614 0.958978535 6 252 0.261695548 0.6599042905
#> 230 230 -0.6380619682 -0.434808078 6 140 0.541981118 0.3457666626
#> 231 231 0.3434673924 0.387305446 6 123 0.181498897 0.1174187143
#> 232 232 -1.6246612829 -0.799023655 6 9 0.608025766 0.4381187274
#> 233 233 1.1262829875 0.418281875 6 64 0.475403219 0.9736449025
#> 234 234 -0.1301376362 0.179442191 6 147 0.700908735 0.2479586678
#> 235 235 -0.0271640819 0.141594827 6 362 0.848041104 0.2803642349
#> 236 236 -2.2739927159 -0.999818394 6 296 0.059604859 0.1511765623
#> 237 237 -1.8881855639 -0.989309147 6 263 0.798978436 0.0057692775
#> 238 238 -0.7418874903 -0.806534224 6 322 0.909746879 0.1030119027
#> 239 239 0.4250056523 0.127058860 6 321 0.799876844 0.1378797963
#> 240 240 -0.3505208333 -0.302769808 6 46 0.124470453 0.3088544642
#> 241 241 -1.0577636356 -0.414101222 7 13 0.391135064 0.4315099181
#> 242 242 -1.8440890023 -0.362942891 7 82 0.957321522 0.3795978641
#> 243 243 -0.6125808120 -0.053831825 7 79 0.593292108 0.8033313742
#> 244 244 -1.6288781705 0.262363392 7 88 0.707471060 0.5794762506
#> 245 245 0.0066286879 -0.357960824 7 102 0.317350098 0.1570968877
#> 246 246 -2.4425982930 -0.677651729 7 228 0.618686470 0.0280812231
#> 247 247 -2.0719186964 -0.941304329 7 148 0.687719121 0.2336082202
#> 248 248 -1.0359264373 -0.464790569 7 201 0.020720560 0.2389556707
#> 249 249 -0.7369247078 -0.223789456 7 49 0.097395185 0.8561030033
#> 250 250 0.0534461454 -0.316302532 7 249 0.578058853 0.8555610355
#> 251 251 -0.4891929142 -0.143880716 7 397 0.775571788 0.9152454226
#> 252 252 -0.2621217790 0.306473152 7 120 0.683314448 0.5130681114
#> 253 253 0.5534558567 -0.827895492 7 119 0.054364967 0.4490521976
#> 254 254 0.4601954887 0.546452895 7 50 0.146124149 0.7034631080
#> 255 255 -0.2121490226 -0.132520936 7 85 0.444854161 0.5557514117
#> 256 256 -0.1486659725 0.354650318 7 231 0.280077891 0.0017955636
#> 257 257 -1.0032029649 -0.141262416 7 233 0.493123229 0.3850554463
#> 258 258 -1.6987351839 -0.226649793 7 267 0.677851317 0.0697726761
#> 259 259 -2.0757872372 0.540713543 7 278 0.436512857 0.9413806212
#> 260 260 -2.0784661153 -0.666173250 7 375 0.091458602 0.4017578040
#> 261 261 -1.0613294264 0.352047789 7 393 0.078838936 0.8222658583
#> 262 262 -3.9238873388 -0.991245452 7 380 0.130041676 0.2520868233
#> 263 263 -1.1690919773 -0.310259864 7 342 0.327295331 0.2608918324
#> 264 264 1.3818793344 0.172250161 7 69 0.431860595 0.0465869000
#> 265 265 0.0844534972 0.288924627 7 197 0.270996167 0.0696099978
#> 266 266 -1.4398872441 -0.874792387 7 225 0.975649252 0.5114666326
#> 267 267 -1.5138774125 0.075422377 7 347 0.132974797 0.1569725981
#> 268 268 -2.0229551615 -0.629088124 7 106 0.769240657 0.0014210336
#> 269 269 -2.3496091376 -0.809206154 7 20 0.307546818 0.8912269571
#> 270 270 -1.2805427369 -0.932144556 7 286 0.714244033 0.3621818931
#> 271 271 -0.1438925074 -0.720183414 7 218 0.120045379 0.7122327867
#> 272 272 -3.1446109824 -0.988662940 7 216 0.340034600 0.7658108710
#> 273 273 0.7762270250 -0.149151305 7 164 0.864105866 0.9084090535
#> 274 274 0.0715649785 0.134915596 7 329 0.090001971 0.8788415627
#> 275 275 -2.3644173126 -0.963556419 7 273 0.067074912 0.4698901726
#> 276 276 -1.2981963931 0.784150863 7 136 0.567920498 0.2492870928
#> 277 277 -1.1828910911 -0.066924045 7 388 0.659386911 0.8547129775
#> 278 278 -0.7045762276 0.826354399 7 17 0.743575258 0.0124778633
#> 279 279 -1.2450849574 0.670286290 7 156 0.558467136 0.2514312172
#> 280 280 -2.3131610953 -0.600924220 7 255 0.739280774 0.8339803822
#> 281 281 0.5805410634 0.267415597 8 199 0.593887722 0.7405965489
#> 282 282 -1.7611397163 -0.718245608 8 246 0.573031712 0.2745544082
#> 283 283 -0.2576331764 0.994105668 8 162 0.757735264 0.4585451197
#> 284 284 -0.8286918312 -0.816183007 8 118 0.531611131 0.6388031687
#> 285 285 -0.6732714503 -0.569496466 8 133 0.966046346 0.5183815418
#> 286 286 0.1255458168 0.502841749 8 94 0.392106823 0.5419833877
#> 287 287 -0.0448220141 0.027718207 8 84 0.200511741 0.6074497767
#> 288 288 -0.2084709445 -0.649004787 8 62 0.993213842 0.1079633383
#> 289 289 -1.8520361630 0.020583694 8 381 0.124174346 0.3987643539
#> 290 290 -0.3502133673 -0.326175913 8 398 0.872123627 0.9204040014
#> 291 291 0.7715953519 0.426716042 8 217 0.726627687 0.3695445959
#> 292 292 -0.4871219185 -0.908146909 8 40 0.801321660 0.4523457317
#> 293 293 0.9181265559 0.243106541 8 76 0.582362935 0.7133192606
#> 294 294 -1.2356714668 -0.610440818 8 178 0.918532278 0.7508187189
#> 295 295 -1.6304857045 -0.711799644 8 245 0.477754416 0.5073839179
#> 296 296 0.6703110044 0.882953937 8 43 0.782349339 0.4863430553
#> 297 297 0.7597309494 0.266527363 8 108 0.092876629 0.1469195094
#> 298 298 -0.2596811451 -0.062416147 8 307 0.292719258 0.0088191540
#> 299 299 0.7891912673 -0.325468947 8 394 0.273830336 0.3349460540
#> 300 300 -0.7783713694 -0.232440717 8 236 0.182087701 0.2255311541
#> 301 301 -1.6517382323 -0.615286890 8 227 0.844260344 0.4840563433
#> 302 302 -0.3021353095 -0.728410885 8 19 0.922655923 0.2705794123
#> 303 303 -1.4965449207 0.174111384 8 288 0.973422264 0.3589225134
#> 304 304 2.6374258989 0.624773447 8 73 0.390187073 0.2622339337
#> 305 305 0.1649072583 0.422232600 8 175 0.021231916 0.5891500795
#> 306 306 -0.7972672373 -0.405961109 8 132 0.419938596 0.3829681263
#> 307 307 -1.2589341373 -0.828239227 8 138 0.373174346 0.2284152498
#> 308 308 1.6478970792 0.073972383 8 137 0.208105396 0.6899427325
#> 309 309 -0.8370535294 -0.225946974 8 390 0.056753028 0.7401598895
#> 310 310 -2.0014964823 -0.418422729 8 339 0.014816609 0.5903971861
#> 311 311 -0.3539266670 -0.954913722 8 348 0.774666090 0.2860207024
#> 312 312 -0.8588749207 -0.456132619 8 385 0.399489320 0.5019897323
#> 313 313 -2.1868251690 -0.053483303 8 111 0.411564158 0.9896080762
#> 314 314 1.4374242625 -0.640900544 8 256 0.698806433 0.2514147686
#> 315 315 -0.6445413034 -0.390980404 8 1 0.460289897 0.6387497759
#> 316 316 0.4631507590 -0.258881635 8 374 0.614748601 0.6112590875
#> 317 317 0.9952265409 -0.299819344 8 71 0.796194792 0.1587759769
#> 318 318 1.6235896360 0.658717905 8 16 0.939811691 0.9551478787
#> 319 319 -0.8431876768 -0.766384837 8 276 0.266745353 0.2235885651
#> 320 320 0.7289096181 -0.947373108 8 117 0.709534061 0.7398652043
#> 321 321 1.0082492781 0.849805695 9 301 0.694299636 0.2564776912
#> 322 322 1.3890040745 0.056395928 9 124 0.977127210 0.1087690394
#> 323 323 -1.0694333960 -0.800229561 9 8 0.775164297 0.4955187293
#> 324 324 0.7538454268 0.807729457 9 26 0.323304765 0.1799049941
#> 325 325 0.4008310813 -0.599010067 9 346 0.401631016 0.0978918457
#> 326 326 -2.4993968472 -0.805879117 9 103 0.344633791 0.4694868701
#> 327 327 -1.8087338222 -0.730570132 9 361 0.589518255 0.7296967455
#> 328 328 0.0256860490 0.503356818 9 334 0.224466086 0.8651703650
#> 329 329 -0.9383060904 -0.630407162 9 165 0.176293142 0.6304397653
#> 330 330 -1.3440824122 0.159348057 9 335 0.791704992 0.8443024768
#> 331 331 0.2612589424 -0.364520870 9 143 0.787237296 0.9036174964
#> 332 332 -0.7357927413 0.149008242 9 74 0.156628666 0.8829803506
#> 333 333 -0.4513050777 0.204247391 9 86 0.473395018 0.4180930550
#> 334 334 0.1603229421 0.113651875 9 306 0.702376883 0.8226064821
#> 335 335 -0.6014506527 -0.166529073 9 61 0.557076091 0.3788913193
#> 336 336 0.3321408889 -0.734581084 9 190 0.947077747 0.3529365852
#> 337 337 -2.3172988454 -0.940885805 9 372 0.216644740 0.6265979211
#> 338 338 -1.4909994128 -0.469946701 9 59 0.844164167 0.2416989903
#> 339 339 2.2610178216 0.161877268 9 371 0.149834161 0.2055112205
#> 340 340 -0.5104829645 -0.076693305 9 351 0.012760860 0.1714231793
#> 341 341 1.7578513800 0.831016699 9 45 0.160511837 0.6435388608
#> 342 342 1.0848905778 0.450240800 9 340 0.861391983 0.6964636922
#> 343 343 0.8036481727 -0.930516749 9 258 0.635313562 0.1596537698
#> 344 344 -1.3842818165 -0.391984810 9 96 0.902106842 0.3278319528
#> 345 345 1.9637038240 0.573772144 9 171 0.078166964 0.4393235366
#> 346 346 -0.9339750966 0.237012218 9 144 0.069963107 0.6969502964
#> 347 347 1.2502273547 -0.590204722 9 349 0.006373829 0.7409480093
#> 348 348 0.8845637511 0.957600817 9 297 0.892746704 0.0515733582
#> 349 349 0.1471965823 0.978839878 9 293 0.495004767 0.0293153515
#> 350 350 0.6622858758 0.003732828 9 12 0.283552905 0.9606888369
#> 351 351 -0.9938574116 0.575019335 9 54 0.434586802 0.8760098764
#> 352 352 -0.0111317449 -0.319927943 9 382 0.263071962 0.4660055579
#> 353 353 -0.5768095309 -0.355691909 9 189 0.822501062 0.9410762400
#> 354 354 1.1623905768 -0.149718599 9 159 0.178924213 0.5147474753
#> 355 355 -3.8478991280 -0.715100931 9 35 0.505249746 0.5882316369
#> 356 356 -1.1197662459 0.485525957 9 66 0.544975176 0.5510005231
#> 357 357 0.2564777876 -0.578298664 9 270 0.580745125 0.0225590374
#> 358 358 2.1295344214 0.053657413 9 24 0.715849604 0.6008348456
#> 359 359 -0.1185194202 -0.103348849 9 125 0.447740464 0.8597295983
#> 360 360 0.1650406118 -0.079217965 9 92 0.578435594 0.1365961502
#> 361 361 -0.1395060191 -0.616843423 10 105 0.598453283 0.5440629628
#> 362 362 -0.7326809647 -0.245786253 10 172 0.290125140 0.4453355367
#> 363 363 -0.6135173121 -0.721770933 10 47 0.476134415 0.1287224768
#> 364 364 0.4023069257 0.742904420 10 308 0.723148164 0.5933000285
#> 365 365 -0.5784474055 0.022607321 10 317 0.765136052 0.8836421142
#> 366 366 -0.6427741639 -0.707359551 10 369 0.483779675 0.0559637079
#> 367 367 -0.3235114881 -0.009005331 10 290 0.324976830 0.9381117425
#> 368 368 1.2122795918 0.074938241 10 202 0.891118883 0.3482817514
#> 369 369 0.0822333934 0.568414914 10 39 0.194863437 0.9724317610
#> 370 370 0.4648810344 0.851442544 10 360 0.897737317 0.4176582592
#> 371 371 0.4017733719 -0.220111038 10 208 0.210765993 0.1323648421
#> 372 372 -0.4493362702 0.751390834 10 323 0.333014138 0.3647287320
#> 373 373 0.1413781968 0.043848332 10 358 0.679192086 0.4899383313
#> 374 374 -1.8675403992 0.057012974 10 135 0.145920258 0.5461754422
#> 375 375 -0.3741443124 -0.415679239 10 192 0.186489454 0.6264527224
#> 376 376 -0.4819105187 -0.822554518 10 129 0.022139021 0.8080128147
#> 377 377 1.4871233579 0.825745713 10 313 0.170392624 0.5182165918
#> 378 378 -0.5573393577 -0.913146548 10 22 0.241179232 0.1052902443
#> 379 379 0.5414331433 -0.437856232 10 350 0.710177408 0.3797643802
#> 380 380 -1.5193364009 0.281372866 10 232 0.392337076 0.7336277931
#> 381 381 2.9507876625 0.728525424 10 257 0.768182905 0.2898896483
#> 382 382 -0.2660527485 -0.680310306 10 298 0.967443408 0.8408766005
#> 383 383 0.3223983550 0.119555169 10 5 0.805798897 0.9738831902
#> 384 384 -1.4195194380 -0.168871234 10 90 0.382123513 0.9195967764
#> 385 385 -0.1431923303 -0.704353046 10 352 0.882241206 0.3586531186
#> 386 386 0.5598058559 -0.009323101 10 237 0.473613419 0.9466639268
#> 387 387 0.0263746277 -0.288259191 10 357 0.421739117 0.7268528934
#> 388 388 -2.0826965604 -0.706734917 10 157 0.334275452 0.8944438614
#> 389 389 -0.9524148039 0.396005056 10 320 0.488581788 0.3405263266
#> 390 390 -1.0265703365 0.027395988 10 248 0.157719452 0.1588374674
#> 391 391 0.3396211499 0.096620373 10 368 0.469162390 0.9884580411
#> 392 392 -0.6589653853 -0.978157095 10 244 0.359499292 0.4601205620
#> 393 393 -1.1358583160 -0.430032009 10 254 0.401927039 0.4677173253
#> 394 394 -0.2739426372 0.427788531 10 344 0.282749439 0.0862897846
#> 395 395 -0.2724509894 0.728036974 10 207 0.491554010 0.4705795990
#> 396 396 -0.6303021826 0.149551034 10 91 0.557970876 0.9970573576
#> 397 397 -1.3587099777 -0.808924799 10 282 0.122347037 0.8060844226
#> 398 398 -0.3439782240 -0.122071640 10 15 0.103631395 0.4828656125
#> 399 399 0.5000087837 0.393398929 10 302 0.429775917 0.6926166720
#> 400 400 1.9462502288 0.718171258 10 367 0.422299322 0.8896475802
#> expectedMean
#> 1 2.986755131
#> 2 2.159752656
#> 3 2.341302764
#> 4 2.494598283
#> 5 1.196147715
#> 6 1.654277559
#> 7 2.389836874
#> 8 2.005084910
#> 9 1.089482805
#> 10 1.077371834
#> 11 2.233412205
#> 12 1.315971077
#> 13 2.761339573
#> 14 2.960071878
#> 15 1.577415618
#> 16 2.295982842
#> 17 2.624802238
#> 18 2.330220665
#> 19 2.440358601
#> 20 2.941713303
#> 21 2.826762743
#> 22 1.672442441
#> 23 2.700362211
#> 24 2.925175394
#> 25 1.417672098
#> 26 2.394132737
#> 27 2.142196353
#> 28 2.703404000
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