A wrapper to extract fixed effects of a supported model.
Usage
getFixedEffects(object, ...)
# Default S3 method
getFixedEffects(object, ...)
# S3 method for class 'MixMod'
getFixedEffects(object, ...)
# S3 method for class 'brmsfit'
getFixedEffects(object, ...)Note
Note that for brms models, the mean is used as the measure of central tendency for the fixed effects as in brms::fixef.
Examples
testData = createData(sampleSize = 400, family = gaussian())
fittedModel <- lm(observedResponse ~ Environment1 , data = testData)
# response that was used to fit the model
getObservedResponse(fittedModel)
#> [1] 0.831808852 -1.652119372 -0.074656458 -2.046656590 0.026549269
#> [6] 1.708579743 -1.313091853 -1.408158236 1.352826971 -0.500463995
#> [11] 0.477640901 -2.006161328 3.010094589 0.513759456 2.158230969
#> [16] -1.141110510 0.549227163 2.219235792 1.017696019 0.101279164
#> [21] 2.163510457 0.892412920 -1.213034415 1.758915438 0.341900353
#> [26] 1.091435154 -0.461744862 0.814564055 0.806700916 0.588779256
#> [31] -2.422256760 2.233443040 0.573241498 0.937897407 -0.028085308
#> [36] 0.873937847 -1.755572435 1.695023819 1.151173754 0.061663899
#> [41] 1.028054664 0.767711139 -0.970262708 -0.962718593 0.172541768
#> [46] 0.836053011 0.431519459 1.460121457 1.357093050 -0.027744191
#> [51] 0.707754501 -2.948224535 -0.767711814 -0.446823760 1.350500026
#> [56] 0.143865587 -0.302388225 2.163197420 -0.501174664 -2.070155590
#> [61] 0.664506541 -1.376471565 -1.295391220 -0.796441536 0.279890051
#> [66] -0.502821332 1.719421020 -0.915875454 -1.770687122 0.842131335
#> [71] 0.021598681 2.049627464 -1.019152922 -0.508496668 1.019139818
#> [76] -0.057482129 -0.167579252 1.088151721 0.013531559 0.804294384
#> [81] -1.980477716 -1.439280354 0.268893898 -2.682712907 -1.002076187
#> [86] -3.596300157 -2.288319954 -0.895231331 0.984347068 -1.515145997
#> [91] -3.036735390 2.111640472 -1.642917734 -2.694365225 -2.423398620
#> [96] -1.802566260 -1.357485454 -1.110959440 -0.892635980 -3.602662188
#> [101] -1.455366527 -0.748470705 -1.512846104 -0.900683301 -1.149615621
#> [106] -1.448667400 -1.186389199 -2.169486093 -4.555739727 -3.160027699
#> [111] -4.292590620 -2.020912195 -2.238263411 -0.338309517 -0.555955806
#> [116] -0.275458632 -3.986717857 -1.116540045 -0.652093807 -1.899003803
#> [121] 0.639907013 0.999902319 -0.435242848 0.513764279 1.924628535
#> [126] 1.102369852 1.867947480 -0.496752098 1.489981547 -0.125165298
#> [131] 0.548177652 1.110383411 -0.302353917 -0.310909844 0.488419677
#> [136] 2.685136546 0.115821811 1.893150920 0.163731686 1.172315744
#> [141] 1.034185752 0.901548610 0.200042125 -1.035640844 1.158747701
#> [146] 1.464898166 -0.722072599 -0.060707915 1.260688766 0.001966576
#> [151] -0.226961768 0.466479330 0.288024875 2.123278443 0.570838203
#> [156] 2.516123973 0.002734877 3.213953193 0.160751075 0.638360908
#> [161] 0.459814555 0.066890707 1.161659189 -0.010729744 0.851879880
#> [166] 0.864050843 -0.583679921 -0.962091672 0.770084152 1.255110002
#> [171] -2.246658635 1.564543817 -1.401575776 1.198990271 -1.534488698
#> [176] 1.535154858 1.539444081 0.897355546 2.285413623 1.251194653
#> [181] 2.648520223 0.507498141 1.948238872 0.817738818 -0.591194030
#> [186] 2.732610045 0.136955477 0.329231753 0.533419048 0.465995297
#> [191] 3.199224743 1.290343373 2.216015890 1.348758926 3.710626031
#> [196] 0.192190129 0.997874958 0.640638595 1.781287666 -0.212850790
#> [201] 0.028967083 1.155358029 -0.993934453 -0.294625247 0.154850054
#> [206] -3.089654282 1.034178070 -1.171997686 -0.865885320 -0.216223060
#> [211] -0.491952719 -2.645775936 -0.502608573 -0.431924012 0.612462359
#> [216] -2.009740777 -1.250035412 -0.329137582 -2.160918564 -0.119062010
#> [221] 0.527860341 -0.401692769 -0.420967789 -1.650459486 -1.866694432
#> [226] 1.528374059 -3.165991498 0.833537532 -0.701449060 -0.519945845
#> [231] -1.558841959 -1.983661445 -2.541837324 -0.767594024 -1.971034247
#> [236] -0.582552592 -1.240492137 -1.459759189 0.261542111 -2.098083766
#> [241] 0.814289119 2.427097916 1.640867679 2.249025463 0.040398916
#> [246] 0.829838878 0.999964413 0.603801532 -0.791508828 -1.321848735
#> [251] -1.539110945 0.718371005 1.422200170 0.652878271 0.469432728
#> [256] 0.839210920 -0.049338148 0.988022229 2.273237171 1.341187088
#> [261] 2.155814544 0.840818628 2.586288672 0.952501740 0.507744914
#> [266] -0.061042692 -1.019277728 1.216892798 -0.026079534 -0.183814719
#> [271] 2.040985694 0.364326639 1.158792080 -0.011362433 1.894533676
#> [276] -0.033930258 0.102019775 0.414678876 2.533964665 -0.940144825
#> [281] -0.437318400 -1.496717308 -3.853260332 -1.930552571 -1.935303052
#> [286] -3.280665297 0.537373580 -0.148121539 0.371461403 0.582263680
#> [291] 0.006600138 -1.067907106 0.088562314 -3.699778873 -0.721019894
#> [296] -0.629485904 -0.455386216 -1.002261284 -0.862431550 1.039757752
#> [301] -1.046464918 0.212630856 -1.225471212 -0.662009208 0.253715465
#> [306] -0.191384980 0.126123024 1.150830988 0.505003464 -0.159297246
#> [311] -0.839741994 -0.974688455 -1.036513588 0.191914157 -2.592006965
#> [316] -0.012358569 -0.095048818 0.475125410 -1.129125259 0.600204290
#> [321] -1.685285816 -0.650958316 -0.062275679 -0.894732205 -0.529207617
#> [326] 0.097882359 -0.999734380 -1.054367516 -0.941996962 -0.781776202
#> [331] -1.118892191 -0.932336052 -1.345715120 0.164870015 -1.084626001
#> [336] -3.193306043 -0.113230857 -0.545132228 0.459104329 0.798376259
#> [341] -0.710506122 0.186658979 0.550667510 -1.408098586 -4.014841691
#> [346] -1.737586117 -0.506533074 -2.392429298 -0.957520004 -4.150456798
#> [351] -0.680952650 0.397618046 -1.181266681 -0.683924237 -1.397365001
#> [356] -1.314737958 -2.230334931 0.159217594 0.640234569 -0.736443246
#> [361] 0.306390487 1.410050648 2.406988554 1.548701697 1.378082004
#> [366] 1.892819535 0.655032688 2.792287016 3.405443882 2.351007989
#> [371] 0.163367271 1.957055192 1.007766196 -1.636317480 3.142453075
#> [376] 1.783062144 2.145125680 2.113718501 1.857949843 -0.940355318
#> [381] 1.972873063 2.526232905 1.532955989 2.092944797 1.356057150
#> [386] 1.277310095 2.573226432 1.596380053 -0.064020150 0.876357703
#> [391] 1.066910041 -1.125488634 0.273925938 1.127039323 1.546214630
#> [396] 1.262266719 1.860523944 0.799190043 0.596963671 1.033189857
# 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 2.722120023 -1.237536653
#> 2 -0.456282767 -1.286181758
#> 3 -2.980314405 -3.314648216
#> 4 -0.113001031 -0.880735432
#> 5 2.694948041 0.573286302
#> 6 0.550390400 0.287367280
#> 7 1.790670916 1.808198449
#> 8 0.727534697 -2.049113014
#> 9 -2.125818264 0.152913186
#> 10 -2.803730666 0.401621289
#> 11 -0.685247120 -0.247401199
#> 12 0.995716770 0.298497018
#> 13 1.323929564 1.293121310
#> 14 1.349784126 -1.505766897
#> 15 1.137774683 0.656656352
#> 16 0.742856833 -1.772455651
#> 17 1.855091804 -0.188095817
#> 18 1.019676546 -1.087135058
#> 19 0.011705999 -2.097324047
#> 20 -2.657178475 -2.244278738
#> 21 -0.327411448 -0.378871453
#> 22 1.665332223 0.268339870
#> 23 0.142550939 0.904886455
#> 24 2.861588037 2.105799668
#> 25 -1.861397218 -1.478491458
#> 26 -0.767232230 1.967313649
#> 27 0.669862592 1.138124412
#> 28 2.790576340 2.444946028
#> 29 -0.555471923 3.049976529
#> 30 -3.036491223 -0.314858944
#> 31 0.072858608 -1.500195187
#> 32 -0.107122719 -0.737284420
#> 33 -4.638783691 -0.473488485
#> 34 0.031884860 -0.907429350
#> 35 -0.388386267 1.761487095
#> 36 3.615783870 3.445013994
#> 37 -1.884866697 0.513554450
#> 38 1.198416059 1.189413475
#> 39 -0.830229146 1.378279147
#> 40 -0.224467760 -0.985374919
#> 41 1.115936207 -0.344639790
#> 42 0.945742595 -1.397490800
#> 43 -0.062867304 -1.038635597
#> 44 -1.070750032 3.045601924
#> 45 -1.823817826 1.057729330
#> 46 0.045991204 -0.181014741
#> 47 -0.933427235 -0.309191142
#> 48 -0.581181140 0.436978353
#> 49 1.087888564 -0.168009526
#> 50 1.644214049 -1.998246123
#> 51 0.868479451 1.482050867
#> 52 -1.949926872 -0.535506804
#> 53 2.570329070 1.269973203
#> 54 -0.492725196 -1.171023028
#> 55 2.340768584 -1.233402070
#> 56 -0.864618598 1.997490130
#> 57 -1.853595011 -4.142920046
#> 58 2.665876353 1.977718701
#> 59 -0.717874733 -0.952669225
#> 60 0.156859059 -0.020612706
#> 61 2.298128914 2.315288663
#> 62 -0.151060822 -2.131707876
#> 63 1.400440477 2.225685486
#> 64 4.338517744 -0.513826643
#> 65 1.654280285 -0.128673040
#> 66 -0.236138017 1.230310837
#> 67 -0.185997285 1.265757040
#> 68 -0.910227901 0.969386247
#> 69 3.133463645 -0.814085306
#> 70 0.238537010 3.496103243
#> 71 -1.008403055 -0.560233849
#> 72 -1.222338532 -0.353262377
#> 73 0.052124505 -2.115065876
#> 74 -1.412704616 0.784788519
#> 75 -2.328389114 -2.264696956
#> 76 -1.062499706 0.863533659
#> 77 -3.148134626 -2.560225598
#> 78 0.556063964 2.190500869
#> 79 2.862480681 -0.969136592
#> 80 -0.787238174 -1.434015245
#> 81 1.905700284 -0.239317125
#> 82 -0.134513712 -1.979727702
#> 83 -0.110567137 -0.356479928
#> 84 3.448708001 -1.308987189
#> 85 -2.112018148 -1.176991211
#> 86 1.608620260 -1.713417916
#> 87 -0.498139595 0.247380392
#> 88 1.610782710 -1.200016220
#> 89 -1.963444610 0.933164470
#> 90 -4.528056918 0.620040941
#> 91 0.501318059 -3.805275390
#> 92 1.897747686 3.322697781
#> 93 -1.924923049 -0.248432328
#> 94 -0.647057156 0.690501674
#> 95 0.584875692 -1.988756958
#> 96 -2.791559176 -3.363705440
#> 97 -0.426046707 -0.510599355
#> 98 1.505481517 -1.485135184
#> 99 0.374313058 0.032654568
#> 100 1.014333270 0.780508144
#> 101 1.020587435 0.555363245
#> 102 -1.141512568 0.953331686
#> 103 0.644294346 -0.375653969
#> 104 1.798514673 1.942700263
#> 105 -0.189451868 0.216112518
#> 106 0.817668904 -0.389651764
#> 107 -0.080021753 -0.248311557
#> 108 0.300134199 -1.716334402
#> 109 1.576915913 -0.603576078
#> 110 -0.085861139 0.392624674
#> 111 0.232842818 0.033939626
#> 112 0.689151642 -0.674797204
#> 113 0.530138093 1.732369790
#> 114 -1.034647013 0.280265349
#> 115 0.554221470 0.754333670
#> 116 -0.573068981 0.587933339
#> 117 -0.674590458 -2.081329535
#> 118 0.647444031 2.591913511
#> 119 0.809643397 -3.430237068
#> 120 0.049325692 -2.069997213
#> 121 1.841385100 -0.987320119
#> 122 0.466003746 0.183663230
#> 123 1.254580917 0.316511400
#> 124 1.200585907 -0.930645020
#> 125 1.218707955 0.247167523
#> 126 0.976983155 0.610385336
#> 127 1.915610628 -0.313004733
#> 128 -0.707288651 0.412966729
#> 129 -0.909960452 -2.088661966
#> 130 0.123430923 -3.686972751
#> 131 -0.035379384 1.395657857
#> 132 0.393487073 0.049919775
#> 133 -1.526804513 0.295155702
#> 134 -2.961227008 0.109383020
#> 135 -2.519180938 0.125468047
#> 136 -1.132195525 1.416152799
#> 137 0.758630342 0.382381021
#> 138 0.138008668 0.600685095
#> 139 -2.220139870 -0.099180487
#> 140 0.651499910 1.515297026
#> 141 -0.051419696 2.050038409
#> 142 0.285513456 -0.555657902
#> 143 0.344786140 -2.388046974
#> 144 5.145791197 -0.026033448
#> 145 0.667368815 1.031439474
#> 146 1.962777283 -1.541293184
#> 147 -2.484440398 -0.370355697
#> 148 -0.812671533 -2.902335706
#> 149 1.976018681 2.211846662
#> 150 3.199833743 2.861984994
#> 151 2.604895634 2.647779450
#> 152 -1.976861722 0.112916720
#> 153 -2.730162685 -0.697433727
#> 154 -1.130271931 1.743482006
#> 155 -0.049261631 0.860412517
#> 156 2.390775411 0.019080085
#> 157 1.991452635 -1.348617192
#> 158 -2.287043635 0.275139490
#> 159 1.199954466 -0.044657501
#> 160 0.574765268 0.094071159
#> 161 1.287345194 -0.651912853
#> 162 0.208719925 -1.635004182
#> 163 0.111071955 3.375375584
#> 164 0.661780339 -1.443115496
#> 165 0.198576751 -0.424058729
#> 166 2.037345123 -1.683555777
#> 167 0.754588800 -0.561110097
#> 168 -2.422614712 1.028348455
#> 169 1.218755019 1.452779334
#> 170 0.025494623 1.330265340
#> 171 -0.432607359 -0.620276968
#> 172 2.370505032 3.736573546
#> 173 -0.332219303 0.018129941
#> 174 2.241011337 2.676535718
#> 175 0.631706016 -5.113466739
#> 176 -0.168711538 0.495640469
#> 177 -1.293709308 -2.002689866
#> 178 0.309466613 -0.449392264
#> 179 0.112141251 -2.293497471
#> 180 -1.700869781 -1.304203457
#> 181 -0.537432566 -0.087423848
#> 182 -0.443676190 0.753039660
#> 183 0.904981259 0.877991901
#> 184 -1.076195385 0.527134626
#> 185 0.755415201 0.057168703
#> 186 -1.644752323 1.324414824
#> 187 -0.996492956 -0.194069455
#> 188 -0.572070398 0.522925301
#> 189 0.235981099 -2.478953332
#> 190 -2.269367895 0.131483369
#> 191 0.037537192 -2.259501593
#> 192 0.447421926 -1.885960056
#> 193 -0.162337506 0.445209355
#> 194 1.988748954 0.886876036
#> 195 0.748179716 -0.599320138
#> 196 -0.515536276 -2.992194387
#> 197 -1.110917910 -2.754026413
#> 198 -0.314970424 -2.035767541
#> 199 1.149335139 -1.392485253
#> 200 -2.548178012 0.732313957
#> 201 0.694583510 1.437892609
#> 202 2.057560658 1.579161843
#> 203 -1.035657998 -0.343607089
#> 204 -0.365996302 -1.399825144
#> 205 1.565963563 -1.040239821
#> 206 1.557424942 -0.975633273
#> 207 3.242975622 -1.675028453
#> 208 0.712157223 0.775695806
#> 209 2.022288541 2.689555574
#> 210 2.442959210 -0.706756680
#> 211 1.907028545 0.839959160
#> 212 -2.868456267 -0.002995395
#> 213 0.766490294 0.835618411
#> 214 -1.555958506 0.171586032
#> 215 -0.882666064 0.124272857
#> 216 -0.150257674 1.012481539
#> 217 -1.299142804 -1.179614448
#> 218 2.094185783 -2.451670960
#> 219 0.979998068 -1.564291761
#> 220 -0.593517480 0.269661971
#> 221 2.980959507 1.385043093
#> 222 1.208989723 -1.419576803
#> 223 -0.807014916 4.413283571
#> 224 -1.004470532 -1.679462432
#> 225 -0.419460037 2.845161753
#> 226 -0.486349779 1.954284959
#> 227 -0.996892726 -1.377222273
#> 228 -0.470090566 0.362680737
#> 229 3.010056137 -0.802212090
#> 230 0.209740443 1.326028030
#> 231 1.826807873 0.445441524
#> 232 -2.225497496 -1.396978315
#> 233 -0.678207416 -2.240270445
#> 234 -1.727823570 2.009932197
#> 235 1.149766227 -0.502580682
#> 236 1.956538798 2.419412972
#> 237 -0.378974736 -1.140637324
#> 238 0.261564693 1.169927046
#> 239 1.620763873 -0.519402032
#> 240 0.447566270 -0.867126811
#> 241 -2.255726174 -0.555232866
#> 242 1.097376268 -0.453601918
#> 243 -2.891110768 1.489447708
#> 244 1.866902518 2.632538003
#> 245 -0.963493689 0.170827236
#> 246 0.861353840 1.757264241
#> 247 -1.105009782 1.725117355
#> 248 0.564802677 2.324638776
#> 249 0.459651391 0.308713839
#> 250 -1.846673571 0.452143681
#> 251 -0.474845967 0.617024236
#> 252 -1.014032587 -0.501567737
#> 253 0.452982133 2.788428178
#> 254 1.407906153 0.324545303
#> 255 1.391424453 1.119120110
#> 256 -1.962350981 -1.662768403
#> 257 1.427812776 1.087205969
#> 258 -0.268517069 -0.034551723
#> 259 1.423862140 0.094620741
#> 260 -1.247964948 -1.693993032
#> 261 -0.013654650 0.819139164
#> 262 -0.933946960 -1.597222657
#> 263 0.717881371 -0.580847580
#> 264 -0.913701647 -1.700178489
#> 265 -0.387560407 -1.712264354
#> 266 -0.778551665 3.141616728
#> 267 -1.085957973 0.783496742
#> 268 -1.230338574 2.052162074
#> 269 1.760992685 1.836546281
#> 270 -0.010249798 -1.786207752
#> 271 2.171994160 0.459191639
#> 272 -1.310115269 -0.689146890
#> 273 -0.508080581 -0.737587275
#> 274 0.243883005 0.743635299
#> 275 1.305440552 -0.313578790
#> 276 -1.813984543 -2.027190915
#> 277 1.751553563 3.010425112
#> 278 -1.384900568 0.229956840
#> 279 0.772855800 1.028913305
#> 280 1.683387027 0.924385964
#> 281 0.302421364 -0.617420221
#> 282 -1.536933952 -0.948721824
#> 283 -3.208290770 0.130605533
#> 284 0.674865757 -1.974568975
#> 285 1.060201216 -3.429717116
#> 286 0.244452486 3.095691761
#> 287 1.328484314 -1.486206317
#> 288 2.844495135 -1.257450539
#> 289 -0.988872855 0.711806760
#> 290 1.774993444 0.928921205
#> 291 -0.727490515 -0.686048435
#> 292 -0.769325817 1.243813130
#> 293 0.388980393 0.857347030
#> 294 -2.679777524 -0.434641838
#> 295 -2.659222239 -0.992182245
#> 296 -0.276768807 0.328608463
#> 297 0.674166994 1.360787723
#> 298 0.402801558 0.364536559
#> 299 0.715914934 -0.021631010
#> 300 0.001660702 -0.254305430
#> 301 1.142448497 2.574774106
#> 302 -1.240373633 -1.116609137
#> 303 1.313803197 -0.774474608
#> 304 0.517738723 3.899289280
#> 305 1.550808969 0.409256202
#> 306 2.153470532 0.433324132
#> 307 -1.586021878 -2.392731946
#> 308 1.076175126 0.822204754
#> 309 1.822811666 -0.196822838
#> 310 1.381776757 1.715395314
#> 311 1.203574970 3.128331687
#> 312 0.152111621 -2.129462752
#> 313 -0.348857806 -0.030821095
#> 314 1.440883583 0.815225222
#> 315 -0.310220868 -0.844631655
#> 316 -1.154609452 -1.133841183
#> 317 0.476184602 1.016318657
#> 318 -2.333908226 0.137845218
#> 319 3.167695018 -0.019993480
#> 320 2.364768043 1.250362974
#> 321 -1.003868766 -0.853791467
#> 322 -0.876847773 0.645750205
#> 323 -3.417532427 -0.227995574
#> 324 0.007010727 -0.846380897
#> 325 -0.202063334 -0.281564903
#> 326 -0.472970175 0.871223116
#> 327 -0.516876120 -0.296468876
#> 328 -1.645909720 -0.436665372
#> 329 -0.746111174 0.071036970
#> 330 0.152378267 0.501111549
#> 331 -0.844961070 1.454791807
#> 332 0.219221471 -0.865206155
#> 333 -2.421010802 -1.209131287
#> 334 -0.250424349 1.378893240
#> 335 0.095484984 -2.396826855
#> 336 -0.695280674 -0.004422504
#> 337 1.755017308 1.636174312
#> 338 -0.338030661 0.660922058
#> 339 1.808454134 2.666047774
#> 340 0.666392431 2.891830222
#> 341 0.130585905 -1.713164876
#> 342 2.217522160 1.183379312
#> 343 -0.494205317 1.014865490
#> 344 -0.240536998 1.658844404
#> 345 -0.147456574 -0.515190414
#> 346 -4.655520121 -1.476610232
#> 347 -2.579453601 -1.356143938
#> 348 0.355406727 -1.754900844
#> 349 -0.531538580 -0.315494199
#> 350 -0.591556163 1.000813899
#> 351 0.639628894 -2.714891919
#> 352 -1.094354429 0.268737684
#> 353 -0.799022269 -0.465818723
#> 354 -0.271119718 0.778641010
#> 355 -1.783839801 -0.931092826
#> 356 0.410591637 -1.694123231
#> 357 -0.340571649 -2.610865214
#> 358 1.809225574 1.019849175
#> 359 -1.254841786 0.461530384
#> 360 0.554567736 -0.512539125
#> 361 1.066690029 0.558248151
#> 362 0.764836558 -1.057283594
#> 363 1.662453691 -0.209891702
#> 364 0.079295513 1.591708988
#> 365 0.732364250 1.677260410
#> 366 -1.307416354 0.375930440
#> 367 -1.504068111 0.084563205
#> 368 -0.919692963 1.387935614
#> 369 0.069038039 -1.431391018
#> 370 0.918466815 -0.418783405
#> 371 0.043136980 -0.167736552
#> 372 -1.031107349 -1.322172110
#> 373 -0.898344048 -2.524978430
#> 374 -0.303829137 -0.406907789
#> 375 -0.361489180 -0.101550471
#> 376 1.143162597 0.521882173
#> 377 -0.813286595 1.439998755
#> 378 0.071965447 1.594948982
#> 379 -0.437210433 -0.734429626
#> 380 -0.421866785 -1.611368120
#> 381 1.230753540 0.055886227
#> 382 0.094851017 -0.982076888
#> 383 -1.029385949 -0.399713813
#> 384 1.417959994 -1.652427173
#> 385 0.787412111 0.069791870
#> 386 -0.853257213 1.189638712
#> 387 2.151623714 0.964556030
#> 388 -0.309323388 -0.952809044
#> 389 0.317998858 -0.600672234
#> 390 -0.979436557 -2.080482862
#> 391 2.665009076 0.458720781
#> 392 0.174935229 -0.087535678
#> 393 -0.236608756 0.736831308
#> 394 -2.378906693 -1.473106772
#> 395 3.035817462 2.188036012
#> 396 0.984666780 -0.321873240
#> 397 0.878735639 0.642652455
#> 398 -1.939085772 -0.458278949
#> 399 -1.047449713 0.142951456
#> 400 -0.982921924 -0.761802021
# 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
#> 0.03386 1.00195
#>
getRefit(fittedModel, getObservedResponse(fittedModel))
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> 0.01808 1.04078
#>
# get data frame that was used to fit the model
getData(fittedModel)
#> ID observedResponse Environment1 group time x y
#> 1 1 0.831808852 0.027518281 1 301 0.153473305 0.516259335
#> 2 2 -1.652119372 -0.428275872 1 253 0.283825818 0.249167154
#> 3 3 -0.074656458 -0.503036119 1 146 0.440876413 0.388813003
#> 4 4 -2.046656590 0.884406156 1 232 0.349988298 0.919280800
#> 5 5 0.026549269 -0.125170420 1 337 0.598880656 0.402065642
#> 6 6 1.708579743 0.885367920 1 115 0.232781526 0.161668062
#> 7 7 -1.313091853 0.070468900 1 262 0.944064562 0.900166201
#> 8 8 -1.408158236 0.158524814 1 305 0.491237217 0.250654783
#> 9 9 1.352826971 -0.442787676 1 123 0.264809084 0.025249036
#> 10 10 -0.500463995 -0.262715922 1 320 0.204635462 0.336269499
#> 11 11 0.477640901 -0.283469744 1 311 0.566813431 0.077958449
#> 12 12 -2.006161328 -0.073730784 1 360 0.442096705 0.051844627
#> 13 13 3.010094589 0.836191710 1 189 0.988465999 0.503129850
#> 14 14 0.513759456 -0.252124590 1 386 0.992833857 0.709520438
#> 15 15 2.158230969 0.207780232 1 144 0.441360217 0.918730560
#> 16 16 -1.141110510 -0.131476913 1 216 0.936673773 0.523334548
#> 17 17 0.549227163 -0.485506549 1 380 0.532219620 0.440772201
#> 18 18 2.219235792 -0.179726196 1 398 0.089221801 0.180302019
#> 19 19 1.017696019 -0.268047710 1 347 0.998792110 0.199140347
#> 20 20 0.101279164 -0.812239007 1 235 0.060758765 0.159780260
#> 21 21 2.163510457 0.887909966 1 292 0.812865316 0.362363713
#> 22 22 0.892412920 0.581634413 1 394 0.441604757 0.641884903
#> 23 23 -1.213034415 -0.944517003 1 166 0.210869035 0.595289494
#> 24 24 1.758915438 -0.017908906 1 194 0.038376463 0.894714973
#> 25 25 0.341900353 -0.762885778 1 239 0.436190595 0.738100159
#> 26 26 1.091435154 0.025287710 1 32 0.544988507 0.665915720
#> 27 27 -0.461744862 0.628440011 1 43 0.421390556 0.640441587
#> 28 28 0.814564055 -0.205679252 1 132 0.194051524 0.576394484
#> 29 29 0.806700916 -0.208442070 1 165 0.883439127 0.208132677
#> 30 30 0.588779256 -0.924285111 1 302 0.222636524 0.815893321
#> 31 31 -2.422256760 -0.786843018 1 176 0.425698673 0.988192149
#> 32 32 2.233443040 0.747577359 1 187 0.512423648 0.327454942
#> 33 33 0.573241498 -0.276427938 1 186 0.650409390 0.871813604
#> 34 34 0.937897407 -0.358544377 1 366 0.263350745 0.739577702
#> 35 35 -0.028085308 0.284142963 1 204 0.066204898 0.082756145
#> 36 36 0.873937847 0.949348295 1 256 0.153227917 0.854107813
#> 37 37 -1.755572435 -0.645577789 1 308 0.667080542 0.452740547
#> 38 38 1.695023819 0.265164830 1 288 0.473744833 0.717807128
#> 39 39 1.151173754 -0.451926019 1 129 0.312675719 0.200710481
#> 40 40 0.061663899 0.146374017 1 368 0.169254042 0.065405015
#> 41 41 1.028054664 0.859668619 2 29 0.723269790 0.259207183
#> 42 42 0.767711139 0.498041289 2 222 0.044338779 0.273706771
#> 43 43 -0.970262708 -0.382175326 2 122 0.275594543 0.498412389
#> 44 44 -0.962718593 -0.318046021 2 66 0.846304806 0.056992339
#> 45 45 0.172541768 -0.146870414 2 336 0.622070647 0.212109328
#> 46 46 0.836053011 0.212638370 2 61 0.213262214 0.904151891
#> 47 47 0.431519459 -0.183825426 2 174 0.846643942 0.193677462
#> 48 48 1.460121457 -0.252165931 2 387 0.875904711 0.684227887
#> 49 49 1.357093050 0.576481029 2 64 0.398161317 0.298089573
#> 50 50 -0.027744191 -0.925149809 2 247 0.278764364 0.463586366
#> 51 51 0.707754501 0.811384719 2 257 0.562401279 0.842797229
#> 52 52 -2.948224535 -0.535678258 2 92 0.481167176 0.054761430
#> 53 53 -0.767711814 -0.506538230 2 329 0.835487329 0.939646546
#> 54 54 -0.446823760 -0.632051411 2 178 0.822642223 0.629424108
#> 55 55 1.350500026 0.493767853 2 106 0.279539020 0.238239578
#> 56 56 0.143865587 0.602537058 2 20 0.250390184 0.899410421
#> 57 57 -0.302388225 -0.836588306 2 205 0.153577315 0.822698302
#> 58 58 2.163197420 0.982676969 2 208 0.298959218 0.780277660
#> 59 59 -0.501174664 0.383080327 2 3 0.426124437 0.459332779
#> 60 60 -2.070155590 -0.597595436 2 170 0.671509053 0.734908439
#> 61 61 0.664506541 0.889032183 2 18 0.377219093 0.696162442
#> 62 62 -1.376471565 -0.008214243 2 321 0.695720464 0.044411320
#> 63 63 -1.295391220 0.202477559 2 125 0.473040608 0.142603313
#> 64 64 -0.796441536 0.602171020 2 55 0.594897036 0.290500020
#> 65 65 0.279890051 0.392003754 2 126 0.957536450 0.171592519
#> 66 66 -0.502821332 0.212201027 2 326 0.408217103 0.558611751
#> 67 67 1.719421020 -0.232182121 2 57 0.755157455 0.484282532
#> 68 68 -0.915875454 -0.433561212 2 14 0.431856204 0.549110693
#> 69 69 -1.770687122 -0.767987461 2 345 0.551851608 0.356033225
#> 70 70 0.842131335 0.794092304 2 365 0.286625417 0.917948048
#> 71 71 0.021598681 -0.551165922 2 158 0.573367267 0.910547419
#> 72 72 2.049627464 0.582871812 2 243 0.358173682 0.223597747
#> 73 73 -1.019152922 -0.990901880 2 281 0.231733852 0.197682605
#> 74 74 -0.508496668 -0.579330248 2 252 0.347625370 0.746651213
#> 75 75 1.019139818 0.283904424 2 224 0.488655584 0.294425308
#> 76 76 -0.057482129 -0.905811348 2 390 0.381675835 0.771978774
#> 77 77 -0.167579252 -0.539140884 2 333 0.668778037 0.120774064
#> 78 78 1.088151721 0.939810729 2 97 0.952645266 0.535115465
#> 79 79 0.013531559 0.648643092 2 306 0.563161451 0.523741606
#> 80 80 0.804294384 -0.264640864 2 196 0.486949842 0.602807189
#> 81 81 -1.980477716 -0.011937652 3 254 0.742621241 0.026076838
#> 82 82 -1.439280354 -0.981030678 3 116 0.414919756 0.281287652
#> 83 83 0.268893898 0.432047501 3 225 0.640079614 0.011739961
#> 84 84 -2.682712907 -0.410246553 3 193 0.035657874 0.312018574
#> 85 85 -1.002076187 -0.008565028 3 338 0.397981801 0.520400994
#> 86 86 -3.596300157 0.358269813 3 74 0.944685031 0.453333922
#> 87 87 -2.288319954 -0.388738259 3 249 0.973276491 0.750688931
#> 88 88 -0.895231331 0.617610814 3 184 0.477814472 0.592531473
#> 89 89 0.984347068 0.144771689 3 9 0.966637546 0.618650115
#> 90 90 -1.515145997 0.224239856 3 293 0.757103689 0.682873125
#> 91 91 -3.036735390 -0.652557502 3 95 0.180181988 0.820196914
#> 92 92 2.111640472 0.930910515 3 30 0.506385173 0.751594921
#> 93 93 -1.642917734 -0.262826302 3 335 0.457427338 0.087833059
#> 94 94 -2.694365225 -0.687550490 3 296 0.281425797 0.050362121
#> 95 95 -2.423398620 -0.759130477 3 223 0.131054790 0.215719450
#> 96 96 -1.802566260 -0.923029159 3 141 0.808447178 0.377958390
#> 97 97 -1.357485454 -0.726607825 3 342 0.861635059 0.803881245
#> 98 98 -1.110959440 -0.491511463 3 251 0.285950193 0.395444835
#> 99 99 -0.892635980 -0.031122139 3 180 0.424736222 0.709585892
#> 100 100 -3.602662188 -0.014927231 3 128 0.943718801 0.619257873
#> 101 101 -1.455366527 0.338892026 3 275 0.125843497 0.128725599
#> 102 102 -0.748470705 -0.215687217 3 229 0.494475638 0.189732400
#> 103 103 -1.512846104 0.891007367 3 363 0.592934909 0.399154474
#> 104 104 -0.900683301 0.765813724 3 217 0.554309441 0.555160481
#> 105 105 -1.149615621 -0.161161724 3 202 0.418903088 0.833748337
#> 106 106 -1.448667400 0.022018717 3 268 0.247449611 0.854706688
#> 107 107 -1.186389199 0.790209819 3 12 0.853457075 0.714702860
#> 108 108 -2.169486093 -0.743296228 3 100 0.350689589 0.372689608
#> 109 109 -4.555739727 -0.754649726 3 38 0.881429528 0.590123532
#> 110 110 -3.160027699 -0.911675914 3 102 0.609132849 0.020808334
#> 111 111 -4.292590620 -0.627934253 3 265 0.338913889 0.695125765
#> 112 112 -2.020912195 -0.959602534 3 346 0.716353266 0.520155616
#> 113 113 -2.238263411 -0.689319221 3 89 0.681486777 0.225294956
#> 114 114 -0.338309517 0.529946409 3 8 0.496155960 0.577035887
#> 115 115 -0.555955806 -0.174034216 3 6 0.206636216 0.220718260
#> 116 116 -0.275458632 -0.092645273 3 28 0.199690279 0.041778027
#> 117 117 -3.986717857 -0.488384350 3 357 0.630243720 0.756432702
#> 118 118 -1.116540045 0.782681115 3 230 0.474080318 0.957419579
#> 119 119 -0.652093807 -0.859320389 3 279 0.379893832 0.831870930
#> 120 120 -1.899003803 0.044092285 3 45 0.730848965 0.155843749
#> 121 121 0.639907013 -0.101032018 4 163 0.742752165 0.567866472
#> 122 122 0.999902319 0.377862298 4 164 0.040378313 0.449308575
#> 123 123 -0.435242848 -0.453055893 4 340 0.495005590 0.238605162
#> 124 124 0.513764279 -0.038158714 4 228 0.868556879 0.997162082
#> 125 125 1.924628535 0.870274706 4 120 0.623747082 0.150118608
#> 126 126 1.102369852 0.293782972 4 11 0.170162578 0.738847656
#> 127 127 1.867947480 0.371754302 4 156 0.947460693 0.764800297
#> 128 128 -0.496752098 0.408502259 4 355 0.027160459 0.304289479
#> 129 129 1.489981547 -0.229851718 4 199 0.882381957 0.573973324
#> 130 130 -0.125165298 -0.215400955 4 294 0.203918750 0.093391306
#> 131 131 0.548177652 0.357651070 4 4 0.127349471 0.531250410
#> 132 132 1.110383411 0.112606827 4 175 0.320911581 0.685093818
#> 133 133 -0.302353917 -0.701593254 4 117 0.479194502 0.344508164
#> 134 134 -0.310909844 -0.283797545 4 82 0.706923645 0.214823729
#> 135 135 0.488419677 -0.222566143 4 171 0.435361945 0.064407174
#> 136 136 2.685136546 0.191112611 4 373 0.628041245 0.739970985
#> 137 137 0.115821811 0.711730641 4 396 0.494419430 0.196908270
#> 138 138 1.893150920 0.985435379 4 212 0.561926036 0.017070315
#> 139 139 0.163731686 -0.797752364 4 314 0.593930254 0.314890320
#> 140 140 1.172315744 0.031594377 4 136 0.784727857 0.696937535
#> 141 141 1.034185752 -0.076733976 4 75 0.246512765 0.822970060
#> 142 142 0.901548610 -0.141016725 4 104 0.954463317 0.629040454
#> 143 143 0.200042125 -0.222272497 4 119 0.385492608 0.924416083
#> 144 144 -1.035640844 0.957927157 4 84 0.649939092 0.213691375
#> 145 145 1.158747701 -0.038383369 4 91 0.208211963 0.343753160
#> 146 146 1.464898166 -0.091219511 4 219 0.650424177 0.154807578
#> 147 147 -0.722072599 -0.297863747 4 47 0.275201709 0.686161591
#> 148 148 -0.060707915 -0.808846085 4 221 0.615192191 0.658164721
#> 149 149 1.260688766 0.475801308 4 121 0.936038178 0.414315934
#> 150 150 0.001966576 0.949375024 4 319 0.844344405 0.104882785
#> 151 151 -0.226961768 0.430821141 4 236 0.933499845 0.111794184
#> 152 152 0.466479330 0.046055625 4 72 0.240537157 0.831516738
#> 153 153 0.288024875 -0.213839021 4 356 0.406566877 0.222069285
#> 154 154 2.123278443 0.302055603 4 274 0.914381514 0.255551441
#> 155 155 0.570838203 -0.371615798 4 344 0.072149757 0.969553014
#> 156 156 2.516123973 0.627174077 4 255 0.662873252 0.832864497
#> 157 157 0.002734877 0.421777768 4 315 0.043679831 0.439735350
#> 158 158 3.213953193 0.645673630 4 109 0.198689927 0.592590548
#> 159 159 0.160751075 0.724945362 4 190 0.872139073 0.761947477
#> 160 160 0.638360908 -0.370132678 4 379 0.919446321 0.636911268
#> 161 161 0.459814555 0.447662371 5 70 0.821374433 0.014210779
#> 162 162 0.066890707 0.219804743 5 140 0.661810658 0.473233183
#> 163 163 1.161659189 0.689247485 5 98 0.728771728 0.543928377
#> 164 164 -0.010729744 0.894125697 5 364 0.366560584 0.438648539
#> 165 165 0.851879880 0.459043413 5 353 0.112758634 0.953160866
#> 166 166 0.864050843 0.775412877 5 318 0.403640437 0.857131450
#> 167 167 -0.583679921 -0.841547637 5 138 0.900008938 0.599561883
#> 168 168 -0.962091672 -0.642958144 5 313 0.603852913 0.853387793
#> 169 169 0.770084152 0.960855038 5 375 0.515684257 0.127523717
#> 170 170 1.255110002 -0.074437035 5 220 0.866075099 0.432441362
#> 171 171 -2.246658635 -0.991366467 5 269 0.270044807 0.032861140
#> 172 172 1.564543817 0.616061167 5 317 0.245444227 0.983948702
#> 173 173 -1.401575776 -0.523884045 5 278 0.037772969 0.746062048
#> 174 174 1.198990271 0.991346885 5 147 0.893273670 0.309421207
#> 175 175 -1.534488698 -0.816906866 5 10 0.333191546 0.410687677
#> 176 176 1.535154858 0.085175044 5 52 0.492918260 0.231927344
#> 177 177 1.539444081 -0.807516625 5 81 0.139414258 0.254499892
#> 178 178 0.897355546 0.292801154 5 362 0.751722376 0.545564737
#> 179 179 2.285413623 -0.461771110 5 370 0.977924950 0.170834429
#> 180 180 1.251194653 -0.848825601 5 159 0.107046904 0.018882505
#> 181 181 2.648520223 -0.130481684 5 152 0.938628333 0.174885636
#> 182 182 0.507498141 -0.234222115 5 328 0.814708741 0.980592058
#> 183 183 1.948238872 0.792087291 5 48 0.999153073 0.272540243
#> 184 184 0.817738818 -0.452246128 5 332 0.066463110 0.442382587
#> 185 185 -0.591194030 -0.060903264 5 244 0.983121398 0.147317595
#> 186 186 2.732610045 -0.056189311 5 50 0.076430580 0.904573924
#> 187 187 0.136955477 -0.534102322 5 348 0.492756008 0.333884040
#> 188 188 0.329231753 0.104942708 5 177 0.173761035 0.782951618
#> 189 189 0.533419048 -0.978013663 5 283 0.956713750 0.413235056
#> 190 190 0.465995297 -0.610805213 5 46 0.179728926 0.228866833
#> 191 191 3.199224743 0.219971064 5 240 0.097492921 0.071663841
#> 192 192 1.290343373 -0.614471804 5 200 0.581820087 0.996083243
#> 193 193 2.216015890 0.978260803 5 113 0.054722728 0.563827496
#> 194 194 1.348758926 0.266967917 5 271 0.760340235 0.538055444
#> 195 195 3.710626031 0.037533155 5 280 0.249949104 0.714702961
#> 196 196 0.192190129 -0.768801274 5 137 0.214374558 0.978746294
#> 197 197 0.997874958 0.143111004 5 35 0.904821552 0.195114339
#> 198 198 0.640638595 0.758448849 5 51 0.753545205 0.539946076
#> 199 199 1.781287666 -0.331185925 5 111 0.085325569 0.423233685
#> 200 200 -0.212850790 -0.407613532 5 218 0.151085686 0.838614748
#> 201 201 0.028967083 0.856038954 6 250 0.502442967 0.673375756
#> 202 202 1.155358029 0.999329092 6 309 0.044405492 0.339942037
#> 203 203 -0.993934453 -0.214318009 6 94 0.538201915 0.821804651
#> 204 204 -0.294625247 -0.552231010 6 93 0.804692487 0.104028668
#> 205 205 0.154850054 -0.914401427 6 179 0.337122896 0.797289182
#> 206 206 -3.089654282 -0.752221296 6 139 0.122309972 0.935497693
#> 207 207 1.034178070 0.643886031 6 31 0.882423328 0.502202455
#> 208 208 -1.171997686 0.877001197 6 214 0.168265431 0.183571901
#> 209 209 -0.865885320 0.835649881 6 114 0.945632261 0.971549628
#> 210 210 -0.216223060 0.001231351 6 5 0.513262857 0.941630280
#> 211 211 -0.491952719 0.234308048 6 24 0.830115097 0.777367154
#> 212 212 -2.645775936 -0.782393721 6 277 0.171320987 0.971253621
#> 213 213 -0.502608573 0.822927775 6 334 0.876088503 0.563667439
#> 214 214 -0.431924012 0.093857266 6 161 0.865814185 0.368599093
#> 215 215 0.612462359 0.521556282 6 76 0.693543670 0.104520873
#> 216 216 -2.009740777 -0.133613747 6 21 0.517370870 0.971177497
#> 217 217 -1.250035412 -0.717774468 6 162 0.424853829 0.763327073
#> 218 218 -0.329137582 0.690166129 6 80 0.832433180 0.990793585
#> 219 219 -2.160918564 -0.533522214 6 327 0.106972644 0.287699525
#> 220 220 -0.119062010 0.835471438 6 167 0.603030207 0.747685906
#> 221 221 0.527860341 0.739262217 6 124 0.008717858 0.738257640
#> 222 222 -0.401692769 0.507797383 6 361 0.851279591 0.980294995
#> 223 223 -0.420967789 0.473645989 6 372 0.183778166 0.007928949
#> 224 224 -1.650459486 -0.980958013 6 246 0.662873991 0.851650269
#> 225 225 -1.866694432 -0.016154844 6 286 0.673389068 0.327509433
#> 226 226 1.528374059 -0.041124242 6 34 0.317611945 0.565397286
#> 227 227 -3.165991498 -0.703484541 6 389 0.051994130 0.424225596
#> 228 228 0.833537532 0.940672569 6 149 0.171170573 0.573296264
#> 229 229 -0.701449060 -0.027693527 6 289 0.256477601 0.276334747
#> 230 230 -0.519945845 -0.149128493 6 2 0.111597747 0.304805319
#> 231 231 -1.558841959 0.244166183 6 351 0.788244291 0.255608873
#> 232 232 -1.983661445 -0.834490201 6 151 0.078510136 0.567843711
#> 233 233 -2.541837324 -0.970493522 6 374 0.896051377 0.190358903
#> 234 234 -0.767594024 0.042238358 6 395 0.097781220 0.790090623
#> 235 235 -1.971034247 -0.927857670 6 153 0.362851956 0.731750233
#> 236 236 -0.582552592 0.720520744 6 331 0.702941898 0.075489934
#> 237 237 -1.240492137 -0.728697027 6 192 0.025715183 0.244054383
#> 238 238 -1.459759189 -0.496338041 6 385 0.709085335 0.934658877
#> 239 239 0.261542111 0.086856768 6 63 0.217765458 0.284791979
#> 240 240 -2.098083766 -0.636880517 6 101 0.112662283 0.522573390
#> 241 241 0.814289119 -0.660809588 7 143 0.615731193 0.273092304
#> 242 242 2.427097916 -0.001647127 7 172 0.136731624 0.082171843
#> 243 243 1.640867679 0.546392667 7 103 0.493686205 0.719833294
#> 244 244 2.249025463 0.943467328 7 323 0.324785033 0.667210571
#> 245 245 0.040398916 -0.384091380 7 131 0.171613100 0.915804334
#> 246 246 0.829838878 0.694820580 7 276 0.315931472 0.028990410
#> 247 247 0.999964413 -0.544550326 7 85 0.391079972 0.294115227
#> 248 248 0.603801532 0.230376916 7 155 0.405953786 0.845155594
#> 249 249 -0.791508828 -0.575310147 7 258 0.791675706 0.629214955
#> 250 250 -1.321848735 -0.650232472 7 191 0.877841369 0.762286111
#> 251 251 -1.539110945 0.041921983 7 188 0.264669066 0.825200548
#> 252 252 0.718371005 -0.333638515 7 160 0.425271039 0.193709543
#> 253 253 1.422200170 0.196206312 7 88 0.710343113 0.041630414
#> 254 254 0.652878271 0.026350962 7 23 0.516311969 0.707106706
#> 255 255 0.469432728 -0.404436607 7 36 0.565464053 0.312449777
#> 256 256 0.839210920 -0.627118299 7 298 0.581748103 0.046965850
#> 257 257 -0.049338148 -0.261480836 7 118 0.379821866 0.064177758
#> 258 258 0.988022229 0.879781138 7 393 0.665589492 0.539490057
#> 259 259 2.273237171 0.827617647 7 54 0.666825881 0.606063649
#> 260 260 1.341187088 -0.052369136 7 397 0.851260282 0.597853981
#> 261 261 2.155814544 0.981444065 7 377 0.220733578 0.145038179
#> 262 262 0.840818628 -0.043098592 7 134 0.904233840 0.732519514
#> 263 263 2.586288672 0.638732875 7 133 0.086348805 0.025732561
#> 264 264 0.952501740 -0.076299567 7 388 0.992930109 0.789634935
#> 265 265 0.507744914 0.092414776 7 267 0.525837544 0.279062785
#> 266 266 -0.061042692 -0.357946203 7 90 0.215266948 0.590033368
#> 267 267 -1.019277728 -0.961813409 7 203 0.962142551 0.985471576
#> 268 268 1.216892798 0.503008110 7 300 0.382229995 0.097325336
#> 269 269 -0.026079534 -0.544858014 7 349 0.688942454 0.992811538
#> 270 270 -0.183814719 -0.192950232 7 1 0.977803315 0.887661971
#> 271 271 2.040985694 0.676747238 7 59 0.529148489 0.550726047
#> 272 272 0.364326639 -0.199297915 7 316 0.787245763 0.829265328
#> 273 273 1.158792080 -0.050690613 7 86 0.453929913 0.580382286
#> 274 274 -0.011362433 0.471202876 7 198 0.883642183 0.626359913
#> 275 275 1.894533676 0.388584699 7 352 0.262805492 0.075618829
#> 276 276 -0.033930258 -0.846524439 7 324 0.586881998 0.892220656
#> 277 277 0.102019775 0.474051575 7 207 0.208006856 0.752742823
#> 278 278 0.414678876 -0.505118102 7 142 0.977025757 0.446942163
#> 279 279 2.533964665 0.957590234 7 53 0.889455815 0.338546239
#> 280 280 -0.940144825 -0.023390466 7 148 0.598056115 0.137023204
#> 281 281 -0.437318400 -0.703349938 8 22 0.127428525 0.286340237
#> 282 282 -1.496717308 -0.641713609 8 27 0.737713017 0.438668059
#> 283 283 -3.853260332 -0.816021353 8 39 0.755770289 0.479079680
#> 284 284 -1.930552571 -0.677672731 8 127 0.084134129 0.744171057
#> 285 285 -1.935303052 -0.541864427 8 40 0.063133655 0.118838888
#> 286 286 -3.280665297 -0.243629803 8 78 0.559721072 0.774479057
#> 287 287 0.537373580 0.824180109 8 16 0.998254410 0.639716557
#> 288 288 -0.148121539 0.347452019 8 67 0.891780692 0.087937209
#> 289 289 0.371461403 0.490475425 8 367 0.105133381 0.199324866
#> 290 290 0.582263680 0.284428141 8 359 0.592237381 0.977465544
#> 291 291 0.006600138 -0.382287724 8 299 0.662454100 0.350697520
#> 292 292 -1.067907106 0.331743002 8 273 0.220395972 0.128818601
#> 293 293 0.088562314 -0.023923186 8 260 0.496567263 0.697373884
#> 294 294 -3.699778873 -0.622442749 8 241 0.684691230 0.999586777
#> 295 295 -0.721019894 -0.710673281 8 382 0.434237846 0.551627693
#> 296 296 -0.629485904 -0.455241886 8 297 0.427693330 0.805320995
#> 297 297 -0.455386216 0.811040719 8 145 0.685840617 0.031628353
#> 298 298 -1.002261284 0.627586870 8 304 0.357953700 0.713695516
#> 299 299 -0.862431550 0.450808734 8 284 0.049232665 0.249956057
#> 300 300 1.039757752 0.532048448 8 245 0.600152732 0.770716376
#> 301 301 -1.046464918 0.892627364 8 197 0.016729772 0.316627168
#> 302 302 0.212630856 -0.440512972 8 206 0.107820483 0.793143008
#> 303 303 -1.225471212 -0.523795915 8 227 0.135823184 0.997963704
#> 304 304 -0.662009208 0.584269292 8 264 0.173125471 0.504755158
#> 305 305 0.253715465 0.912072528 8 303 0.014352693 0.083046910
#> 306 306 -0.191384980 0.856057112 8 266 0.005311106 0.278951577
#> 307 307 0.126123024 -0.826543275 8 201 0.167988762 0.504889216
#> 308 308 1.150830988 0.501230238 8 384 0.123239099 0.316324590
#> 309 309 0.505003464 0.877726186 8 195 0.858970317 0.891513537
#> 310 310 -0.159297246 0.770268773 8 248 0.351404847 0.049061175
#> 311 311 -0.839741994 0.633895913 8 400 0.905976983 0.630254800
#> 312 312 -0.974688455 -0.697600089 8 325 0.701879687 0.506825096
#> 313 313 -1.036513588 0.972831547 8 41 0.489546605 0.752187414
#> 314 314 0.191914157 0.937465226 8 79 0.430125308 0.218832122
#> 315 315 -2.592006965 -0.493915186 8 259 0.319767727 0.382697258
#> 316 316 -0.012358569 -0.934924560 8 312 0.607701583 0.521362073
#> 317 317 -0.095048818 0.141878473 8 270 0.275739445 0.642415342
#> 318 318 0.475125410 0.174856441 8 173 0.872000714 0.548568792
#> 319 319 -1.129125259 0.030038215 8 231 0.904455226 0.537518430
#> 320 320 0.600204290 0.654262932 8 107 0.371775738 0.773191107
#> 321 321 -1.685285816 -0.538169761 9 169 0.881466519 0.626550167
#> 322 322 -0.650958316 0.054637506 9 310 0.819686688 0.538493874
#> 323 323 -0.062275679 -0.320073860 9 154 0.678725129 0.104052973
#> 324 324 -0.894732205 -0.394014734 9 25 0.730987056 0.719649523
#> 325 325 -0.529207617 0.810652985 9 15 0.099088323 0.111582597
#> 326 326 0.097882359 -0.490938607 9 110 0.850877773 0.255154106
#> 327 327 -0.999734380 0.412710322 9 287 0.107890593 0.985135979
#> 328 328 -1.054367516 -0.902296848 9 130 0.167462438 0.312149245
#> 329 329 -0.941996962 -0.368856689 9 83 0.848214532 0.349990449
#> 330 330 -0.781776202 0.298074570 9 13 0.630793853 0.970147928
#> 331 331 -1.118892191 0.263154284 9 383 0.729035066 0.045414309
#> 332 332 -0.932336052 0.037291474 9 282 0.228893106 0.507316464
#> 333 333 -1.345715120 -0.084632958 9 291 0.338568426 0.541084851
#> 334 334 0.164870015 -0.795683670 9 44 0.161206992 0.290290591
#> 335 335 -1.084626001 0.464137773 9 73 0.288554750 0.336210042
#> 336 336 -3.193306043 -0.831977624 9 168 0.097053892 0.176771820
#> 337 337 -0.113230857 0.213952695 9 237 0.865102087 0.202385318
#> 338 338 -0.545132228 0.131069036 9 112 0.167909091 0.836389961
#> 339 339 0.459104329 0.625439212 9 341 0.953493400 0.008919842
#> 340 340 0.798376259 0.742782763 9 42 0.191002366 0.661844981
#> 341 341 -0.710506122 -0.218019162 9 60 0.180134676 0.113896758
#> 342 342 0.186658979 -0.667058128 9 209 0.780104582 0.994922947
#> 343 343 0.550667510 -0.315006390 9 69 0.450762578 0.270531393
#> 344 344 -1.408098586 -0.264542205 9 339 0.104592223 0.427291582
#> 345 345 -4.014841691 0.040299254 9 87 0.223589499 0.562442642
#> 346 346 -1.737586117 -0.787082279 9 49 0.753839638 0.143754886
#> 347 347 -0.506533074 -0.358914943 9 185 0.067963314 0.885921825
#> 348 348 -2.392429298 -0.560000450 9 19 0.701440971 0.735347216
#> 349 349 -0.957520004 -0.776057638 9 371 0.187990352 0.125079877
#> 350 350 -4.150456798 -0.954715774 9 26 0.494554584 0.107045040
#> 351 351 -0.680952650 -0.087000501 9 183 0.272898645 0.648655553
#> 352 352 0.397618046 -0.517550192 9 65 0.963447073 0.232667342
#> 353 353 -1.181266681 -0.221861060 9 392 0.052733279 0.113346773
#> 354 354 -0.683924237 0.027170375 9 71 0.884673402 0.999409250
#> 355 355 -1.397365001 -0.572318591 9 96 0.893451245 0.974219576
#> 356 356 -1.314737958 -0.468250116 9 182 0.108642166 0.664648103
#> 357 357 -2.230334931 -0.362498375 9 33 0.444155351 0.978674817
#> 358 358 0.159217594 0.922282739 9 238 0.660125903 0.609024498
#> 359 359 0.640234569 0.589219526 9 369 0.396014870 0.007457674
#> 360 360 -0.736443246 -0.129717003 9 358 0.236753617 0.690423316
#> 361 361 0.306390487 -0.322799768 10 343 0.700237071 0.261534533
#> 362 362 1.410050648 0.248459448 10 17 0.672155872 0.973857954
#> 363 363 2.406988554 0.285496561 10 150 0.817713594 0.222879060
#> 364 364 1.548701697 0.356990112 10 322 0.184789006 0.447007285
#> 365 365 1.378082004 0.583575199 10 108 0.396432896 0.412451668
#> 366 366 1.892819535 0.381549755 10 272 0.248931178 0.346538014
#> 367 367 0.655032688 -0.561156998 10 7 0.787320483 0.488662544
#> 368 368 2.792287016 -0.074775001 10 215 0.206236781 0.955405284
#> 369 369 3.405443882 0.272370113 10 261 0.991191253 0.383124543
#> 370 370 2.351007989 0.409317491 10 307 0.491380145 0.974366141
#> 371 371 0.163367271 -0.741932348 10 295 0.454978613 0.293162150
#> 372 372 1.957055192 -0.207294662 10 378 0.430149839 0.772558369
#> 373 373 1.007766196 -0.262194301 10 99 0.613112175 0.913097501
#> 374 374 -1.636317480 -0.373687989 10 290 0.210285732 0.032196614
#> 375 375 3.142453075 -0.762107593 10 354 0.012167961 0.545856837
#> 376 376 1.783062144 0.556278006 10 157 0.739499416 0.009610837
#> 377 377 2.145125680 0.744124738 10 56 0.201349456 0.670956878
#> 378 378 2.113718501 0.523689603 10 350 0.346976402 0.050243241
#> 379 379 1.857949843 0.016805708 10 37 0.193623082 0.448885518
#> 380 380 -0.940355318 -0.764989101 10 242 0.083283394 0.400364526
#> 381 381 1.972873063 0.187171156 10 263 0.390592562 0.284436460
#> 382 382 2.526232905 0.626092311 10 381 0.817419474 0.731081959
#> 383 383 1.532955989 0.342809799 10 211 0.590558777 0.735326199
#> 384 384 2.092944797 -0.368285179 10 226 0.827628030 0.891501247
#> 385 385 1.356057150 0.785560127 10 391 0.120074372 0.495190514
#> 386 386 1.277310095 0.680995531 10 210 0.130326797 0.250788401
#> 387 387 2.573226432 -0.026017112 10 58 0.578306664 0.926111720
#> 388 388 1.596380053 -0.123291739 10 62 0.408574287 0.715946517
#> 389 389 -0.064020150 -0.962260992 10 68 0.117860012 0.352236231
#> 390 390 0.876357703 -0.973339756 10 233 0.392518013 0.007046893
#> 391 391 1.066910041 0.990331941 10 399 0.867789896 0.040429356
#> 392 392 -1.125488634 -0.349986630 10 285 0.546275015 0.007626404
#> 393 393 0.273925938 -0.945921922 10 77 0.201506103 0.711506091
#> 394 394 1.127039323 0.117584097 10 105 0.393590068 0.097037237
#> 395 395 1.546214630 0.852226293 10 330 0.712381642 0.898870095
#> 396 396 1.262266719 0.170130224 10 234 0.861202962 0.354410955
#> 397 397 1.860523944 0.137646707 10 181 0.223247276 0.112572299
#> 398 398 0.799190043 -0.857272770 10 376 0.992789337 0.199801834
#> 399 399 0.596963671 -0.988609079 10 213 0.213386375 0.816336210
#> 400 400 1.033189857 -0.982772043 10 135 0.189181498 0.393493906
#> expectedMean
#> 1 0.551068585
#> 2 0.095274432
#> 3 0.020514185
#> 4 1.407956460
#> 5 0.398379883
#> 6 1.408918223
#> 7 0.594019203
#> 8 0.682075117
#> 9 0.080762627
#> 10 0.260834381
#> 11 0.240080559
#> 12 0.449819519
#> 13 1.359742013
#> 14 0.271425713
#> 15 0.731330535
#> 16 0.392073390
#> 17 0.038043754
#> 18 0.343824107
#> 19 0.255502593
#> 20 -0.288688703
#> 21 1.411460269
#> 22 1.105184717
#> 23 -0.420966700
#> 24 0.505641397
#> 25 -0.239335474
#> 26 0.548838013
#> 27 1.151990315
#> 28 0.317871051
#> 29 0.315108233
#> 30 -0.400734808
#> 31 -0.263292715
#> 32 1.271127663
#> 33 0.247122365
#> 34 0.165005926
#> 35 0.807693266
#> 36 1.472898598
#> 37 -0.122027486
#> 38 0.788715133
#> 39 0.071624284
#> 40 0.669924320
#> 41 1.117048157
#> 42 0.755420827
#> 43 -0.124795788
#> 44 -0.060666483
#> 45 0.110509124
#> 46 0.470017908
#> 47 0.073554112
#> 48 0.005213607
#> 49 0.833860567
#> 50 -0.667770271
#> 51 1.068764257
#> 52 -0.278298720
#> 53 -0.249158691
#> 54 -0.374671873
#> 55 0.751147391
#> 56 0.859916596
#> 57 -0.579208768
#> 58 1.240056507
#> 59 0.640459865
#> 60 -0.340215898
#> 61 1.146411721
#> 62 0.249165295
#> 63 0.459857098
#> 64 0.859550558
#> 65 0.649383292
#> 66 0.469580565
#> 67 0.025197417
#> 68 -0.176181674
#> 69 -0.510607923
#> 70 1.051471842
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