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Wrapper to refit a fitted model.

Usage

getRefit(object, newresp, ...)

# Default S3 method
getRefit(object, newresp, ...)

# S3 method for class 'lm'
getRefit(object, newresp, ...)

# S3 method for class 'glmmTMB'
getRefit(object, newresp, ...)

# S3 method for class 'HLfit'
getRefit(object, newresp, ...)

# S3 method for class 'MixMod'
getRefit(object, newresp, ...)

# S3 method for class 'phylolm'
getRefit(object, newresp, ...)

# S3 method for class 'phyloglm'
getRefit(object, newresp, ...)

# S3 method for class 'brmsfit'
getRefit(object, newresp, ...)

Arguments

object

a fitted model.

newresp

the new response that should be used to refit the model.

...

additional parameters to be passed on to the refit or update class that is used to refit the model.

Details

The purpose of this wrapper is to standardize the refit of a model. The behavior of this function depends on the supplied model. When available, it uses the refit method, otherwise it will use update. For glmmTMB: since version 1.0, glmmTMB has a refit function, but this didn't work, so I switched back to this implementation, which is a hack based on the update function.

Author

Florian Hartig

Examples

testData = createData(sampleSize = 400, family = gaussian())

fittedModel <- lm(observedResponse ~ Environment1 , data = testData)

# response that was used to fit the model
getObservedResponse(fittedModel)
#>   [1]  2.453657858 -0.828336778  0.778045690 -0.233776019  1.333309314
#>   [6] -0.496310829  1.294744111 -0.357968997 -0.339333418  0.695429218
#>  [11] -1.278748537  0.089687452 -0.542576877 -1.269616632 -1.354839430
#>  [16] -0.809164914 -1.614011837  1.664196117 -0.746366271  0.569391820
#>  [21]  0.303503324  0.223108122 -0.509141746 -0.071292289  0.638451066
#>  [26] -0.354002360  0.892019684 -0.943833055  0.428193501  1.180949552
#>  [31] -0.869936585 -0.008121773  0.618080762  1.179884199 -0.828067289
#>  [36]  0.553680250 -0.911302509 -2.421555281  0.047940684  2.577728173
#>  [41] -2.606230688 -1.364971115  0.299473712 -0.290267477 -1.592043773
#>  [46] -2.618958768 -1.464211517 -2.315634723 -1.888213854 -0.996937354
#>  [51] -1.669265073 -0.790629909 -2.039083394 -1.242703481 -0.370210646
#>  [56]  0.335107845  0.139432690  0.647266981 -1.260535258 -2.291780308
#>  [61] -0.475867601 -1.216464671 -1.021464813 -0.678197299  0.147560649
#>  [66] -2.004533692  0.142907985 -1.743402627  0.467239855 -1.431696510
#>  [71] -0.440518106 -2.197970361 -0.944098924 -1.607739413 -2.046327950
#>  [76] -1.825142983 -2.092150123 -2.192206360 -1.307041460 -1.439299577
#>  [81]  0.290306061  0.949420532 -1.242029395 -0.610773864  0.504845049
#>  [86] -0.175020924  0.314058257  0.114964454 -2.660906808 -0.272261564
#>  [91]  2.344072529  0.088614881  1.961182555  0.534398382  1.276725575
#>  [96]  0.346914852  2.941326049 -1.580347305  0.155354765  0.300322434
#> [101] -1.365037152  2.194979873  0.607429144  0.299173049  0.250744205
#> [106]  0.343615633  1.459449627  1.830142646  0.198801185  0.718641456
#> [111] -1.945778645  1.774002604 -1.143197642 -0.386434836  0.894155211
#> [116] -0.310806717  0.447664429  1.108164430  0.674003494  0.668228821
#> [121]  0.012685555 -0.025034696  1.402539755  0.465888861 -1.636275161
#> [126]  0.486296620  2.068814179  1.633207290  2.598863944  0.260197041
#> [131] -0.971689032 -0.176020281 -0.892075041 -1.931590043 -1.125739349
#> [136] -0.650729414  0.532992807  0.173707457  0.303593253 -0.335100124
#> [141]  0.934901892 -0.582426972  0.908961186  0.215065316 -0.359015299
#> [146] -1.775578806 -0.452449807 -0.003092273  0.575162670  1.361367697
#> [151] -3.172390663 -1.761062674  2.344058747 -0.944953663 -0.920122147
#> [156] -1.691073231 -1.257837195 -0.943845184 -0.666119601 -1.781604909
#> [161]  1.255752492 -2.713206037 -0.181988170 -1.332153035 -1.123917626
#> [166] -0.885256538 -0.342435899  0.698027808 -1.354468655 -0.415898422
#> [171]  0.571513122  0.287933780 -3.866883411 -1.345445455  0.544041748
#> [176]  0.676388721 -0.714871901 -0.433700270 -0.899787755  0.515065150
#> [181] -0.253565779 -1.002434361  0.407670298 -1.038708417  0.668660923
#> [186] -0.408772204  0.008851634 -1.813462910 -3.624342686  0.772838070
#> [191] -0.275940920  1.037871646 -1.116252444 -1.791240365 -2.485639613
#> [196]  0.432769840  1.155940385 -1.412013467 -0.897140624 -2.693000794
#> [201] -0.918084723  1.642371841  0.864330078  1.373378412  0.831937071
#> [206]  0.608323191  0.933498646  0.245126476 -1.022122534 -0.946338332
#> [211] -0.961240934  1.709335076  1.496865282 -0.389213205 -1.003413366
#> [216]  0.164832328 -0.386258099  0.983181806  1.314073300  2.370018441
#> [221] -0.321852505  0.444179642  0.969972895  0.928405568  0.764366294
#> [226]  0.401545928  0.166691739  1.695065943  0.325488677 -0.770127036
#> [231]  1.506482702 -0.050503013 -0.124401325 -0.561672377 -1.040097499
#> [236] -1.023727283  0.664986191 -0.070536308  0.468155307  0.607120917
#> [241]  1.018680705  1.093528407  0.212787037  2.316335978 -0.284700358
#> [246]  0.067707391  1.802811390  2.220198791 -0.628892636  1.101730770
#> [251]  0.903951367  2.908349572  0.590666085  3.102550337  2.072195201
#> [256]  1.449126149  2.726067952  0.245095472  1.338707331 -0.936311178
#> [261]  0.539525843  1.912085996  2.104279955  0.585913630 -0.387085851
#> [266]  2.825310573  2.766199896  1.964619725  2.074288352  0.787899352
#> [271]  1.703383559  2.869294457  3.802468093  1.420529961 -2.404897901
#> [276]  1.071551082  0.553723503  4.475263339  1.533268260 -1.832254435
#> [281]  0.858670691  2.849849589  1.187649547  2.110584269  1.115292562
#> [286]  2.487605988  1.210205243  2.588820386  1.914690940  2.580794354
#> [291]  0.715548319  3.003833745  2.944304630  3.311581613  1.555451538
#> [296]  1.074674433  2.482920059  1.596195353  2.139472786 -0.176758863
#> [301] -0.340691755  2.159297128  1.527148935 -0.109653552  1.711275180
#> [306]  2.657946104  1.568311227  0.634421441  3.323165983 -0.157634289
#> [311]  3.469546830  2.757420394  1.497685996  2.100803126  2.652657689
#> [316] -0.321166938  2.068197232  3.796333999  1.392675079  1.394544224
#> [321] -2.181779759  1.105230202  0.299103497  0.017867506  1.124590949
#> [326]  0.241282156  0.980633387 -0.281542506  1.117125304 -0.728640871
#> [331]  0.523856181 -0.104585446  0.086571132 -0.899827087 -0.327262221
#> [336]  0.344252215 -2.001297352 -1.101615300 -1.951101671 -0.576898439
#> [341] -1.126263589 -0.902797710  0.552194201 -2.197080617 -0.262445573
#> [346]  0.529215067 -1.870696991  1.852340069 -1.730179145 -0.221337153
#> [351]  0.174583242 -2.058454287 -0.752049922 -0.692002603 -0.435817240
#> [356]  0.827360375 -0.310531126  1.602541465  1.306129424 -1.638214365
#> [361] -1.268047291 -1.822048315  2.611730592  0.829281601 -0.930862204
#> [366] -0.905993139 -0.921638951 -2.220283520 -0.509819336 -0.131404766
#> [371] -2.075277449 -2.713317100  0.492709524 -2.698777021 -0.809151214
#> [376]  0.152408986 -1.625260113  0.639995418 -1.272354719 -1.572505770
#> [381] -1.208364581 -0.446097613  0.082213051 -1.720793230 -2.459372684
#> [386] -0.575229201  0.216414684 -0.818330111 -0.691070247 -2.519502263
#> [391] -1.102732160 -0.324941648 -0.455044473 -0.758382867  0.263991277
#> [396]  0.351335102  0.599929941 -0.763555752 -1.210706188  2.435870892

# 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    3.31900065  1.218208855
#> 2   -1.21567893 -0.790651821
#> 3   -1.14571205  2.518367035
#> 4    1.85329493  0.254166129
#> 5    1.69926219 -0.597367978
#> 6    0.05222634  3.366823922
#> 7    1.34507565  0.527462118
#> 8    1.45692026 -0.733516120
#> 9   -1.87972177  0.736024528
#> 10   0.35356116 -0.013852062
#> 11  -1.08066472 -1.305438240
#> 12   0.21263669  0.628346623
#> 13  -1.14304831 -0.153163569
#> 14  -1.40085422 -2.493862506
#> 15  -0.04137052  1.492588313
#> 16   1.05265795  1.631573102
#> 17  -1.85643008 -1.929961830
#> 18   0.16711989  3.139546884
#> 19   2.84651108  2.705566167
#> 20   1.09312998 -0.981225107
#> 21   1.00738613  2.643894151
#> 22   0.54678779  0.594197655
#> 23   3.00985602  0.406517779
#> 24   1.74311730  1.709084092
#> 25  -0.38654517  0.989077595
#> 26  -1.60605102 -0.648312404
#> 27  -0.45029222  1.205024394
#> 28  -1.52509527 -0.220687221
#> 29   1.01227890  0.807470309
#> 30   0.65118074  1.398778080
#> 31  -1.28562763 -0.579741912
#> 32  -1.48252782  0.884124753
#> 33   0.61013544 -0.088066904
#> 34   0.30224093 -1.362216501
#> 35  -0.15548887 -0.999817575
#> 36  -2.12703993 -0.348443553
#> 37  -2.73939319 -2.074966185
#> 38  -1.12380839 -1.404691662
#> 39  -1.83492383 -2.551405102
#> 40   1.68314840  1.769899668
#> 41   0.62583578 -0.174803825
#> 42  -0.40556060  0.681767956
#> 43  -0.05117178  3.970813333
#> 44  -0.22134749 -0.916455355
#> 45  -0.73378705 -0.928129820
#> 46   0.93489226  0.981821632
#> 47   1.05324017  0.401220680
#> 48  -1.89126007  1.380417485
#> 49  -0.25503281  1.244293880
#> 50   0.10598607  1.392003363
#> 51   0.65360835  0.810308020
#> 52   1.02681674  0.803368742
#> 53  -1.76073578  0.148102856
#> 54   0.39304234  0.708758354
#> 55   0.05845688  2.969673230
#> 56   0.24208935  0.185522044
#> 57   0.46992641  0.492898168
#> 58   0.06240664  3.243765907
#> 59   1.30714397  2.917850441
#> 60  -0.17720842 -1.490362082
#> 61   0.39191210  0.555525621
#> 62   2.54423130  2.038428524
#> 63  -1.02100232 -1.307849286
#> 64   1.31206964 -0.880992033
#> 65  -2.48215542 -1.239633300
#> 66  -0.77809537  0.119537842
#> 67  -2.08348047 -3.375285125
#> 68  -1.82306502 -2.566444507
#> 69   1.27014690  0.705114583
#> 70   0.50077046  0.147748044
#> 71  -0.02968567 -2.003242690
#> 72  -1.28989833 -0.083008427
#> 73   2.26714434 -2.430100259
#> 74   1.69953414 -2.288532471
#> 75  -3.42090010 -2.898647261
#> 76   0.73572890 -0.146547404
#> 77  -0.62186715 -1.590294299
#> 78  -2.81795507 -0.775201334
#> 79   0.90863177  1.117977405
#> 80  -0.20239779  0.950269212
#> 81   2.06339573  0.200705826
#> 82  -0.11253536  2.057253793
#> 83   0.92783619 -2.264589079
#> 84   0.53544907  0.228650062
#> 85   2.35946542  2.358143818
#> 86  -0.21945301  1.554545840
#> 87   0.16841022  0.355383156
#> 88   1.25299882  1.345010755
#> 89  -0.17452700 -0.752463334
#> 90   0.28219505 -1.347195203
#> 91  -0.09852252  2.801300740
#> 92  -0.96809878  0.847785172
#> 93   3.02307882  1.731712212
#> 94   0.94248930  1.981337278
#> 95  -2.44363094  2.349698813
#> 96  -1.10051815 -3.495599391
#> 97  -1.40160730  1.267810606
#> 98  -0.59877295 -1.228559046
#> 99   1.70207214  1.532563127
#> 100  0.34883405  1.348875804
#> 101 -3.40262974 -0.574451020
#> 102  1.45024003  1.485315579
#> 103 -1.00376471  1.012744038
#> 104  1.48158283  1.458940034
#> 105 -1.28119202 -2.150992077
#> 106  1.09049266  1.133492584
#> 107 -0.58859358 -0.946814665
#> 108 -0.73706339 -0.384537064
#> 109  1.99360359  1.184014719
#> 110 -1.32874550  1.691853755
#> 111  0.16668671 -0.357420012
#> 112  1.93873067 -0.122158420
#> 113  1.77676366  1.830061149
#> 114  0.12532792  0.042081238
#> 115 -0.72147029  0.852123409
#> 116  1.95984637 -1.001026633
#> 117 -2.10180277  1.976909596
#> 118 -2.26503318  1.072428055
#> 119 -3.75899359 -0.865199015
#> 120 -0.37238476 -2.253351308
#> 121  0.75995830 -0.184558187
#> 122 -0.62971162  1.884369922
#> 123 -0.23659345 -1.693764942
#> 124  1.20108139  1.173043958
#> 125  1.56043447 -0.172453752
#> 126  2.41134838  1.937872934
#> 127  3.76411992  1.318197960
#> 128  1.35436766  2.722130891
#> 129  2.83317446  0.175003717
#> 130 -0.01689015  0.336471130
#> 131 -1.08397525  0.217454292
#> 132 -2.01404545 -2.089359870
#> 133  0.95590982 -2.183744813
#> 134 -0.80351941 -0.324838747
#> 135 -0.24323909  0.731814484
#> 136 -1.14137024  0.885290047
#> 137  1.26315659  0.245116006
#> 138 -0.22077605 -1.174542009
#> 139 -1.37750148 -2.093878908
#> 140 -1.04621997  0.014917228
#> 141 -0.22984777 -0.097081653
#> 142 -1.00015485 -1.735968016
#> 143  0.26492590  3.126459237
#> 144  2.29272576  0.383004938
#> 145 -0.66284929  2.653551340
#> 146 -0.29574679 -0.134924071
#> 147  2.14735431 -2.121802394
#> 148 -0.15018991  1.934274207
#> 149  3.85631060  2.153755324
#> 150 -2.39685870  1.066834042
#> 151 -2.42472719 -0.186127884
#> 152 -0.27034067 -0.640195712
#> 153  2.40564053 -0.075833883
#> 154  0.36704268  0.925816003
#> 155 -2.49364922 -1.098045545
#> 156  1.89907659  2.067228974
#> 157 -0.89892730 -1.508759642
#> 158 -4.21621341  1.071507968
#> 159  0.40451771 -1.079801419
#> 160  1.43509459  0.361003560
#> 161 -0.80135982 -0.867001148
#> 162  0.90180487 -0.099774675
#> 163  0.89700149  0.126190366
#> 164 -1.86056060 -0.915651813
#> 165  1.64724866 -0.028795338
#> 166 -3.78414711 -0.488136791
#> 167 -0.32857677  1.780256095
#> 168  2.07687928  2.151524404
#> 169 -0.57250331 -0.552308152
#> 170  0.02297460  0.507958915
#> 171  0.32926286 -0.571635369
#> 172  3.11655396 -0.003660671
#> 173  1.58798673 -3.163192574
#> 174  1.03172520  3.196023316
#> 175  2.31924433 -1.978193008
#> 176  0.79093863  0.940551631
#> 177  1.01849168  0.798589846
#> 178 -3.29142640 -1.555172173
#> 179 -0.66329566 -1.203956681
#> 180  1.64062731 -0.711233323
#> 181 -1.00472257 -0.077926930
#> 182 -1.06737493  1.380049623
#> 183  0.18603070 -2.799182841
#> 184  0.38891457  0.490378484
#> 185  1.27099158 -0.181507267
#> 186 -0.69003863 -0.591279560
#> 187  2.92982282 -0.457987850
#> 188  0.21205435 -0.640329222
#> 189  0.82426471  0.317869147
#> 190 -1.81485904 -0.370765435
#> 191  1.49232692  0.198732429
#> 192  0.15138821  1.799793967
#> 193 -0.60993740 -2.285864670
#> 194  1.63598512  0.164723339
#> 195 -1.24388372  1.306106065
#> 196  0.44536059  1.187832160
#> 197  1.39401897 -1.110873193
#> 198 -0.62797199  1.355024147
#> 199  0.47575048  0.252555309
#> 200  0.58332117 -0.646675789
#> 201 -0.74955263 -1.214936823
#> 202  0.11543149  0.753504032
#> 203 -1.24897277 -0.368109104
#> 204  1.88965733  2.360555382
#> 205  0.52523416 -0.576543201
#> 206  2.33385429 -1.340288053
#> 207  0.32703637 -1.237888345
#> 208  0.63645299 -0.321594220
#> 209  1.35594134  0.505133746
#> 210 -0.77754114  2.167580054
#> 211  1.28750219  0.023238192
#> 212 -0.19547521  0.077981227
#> 213  1.69714811  2.129808710
#> 214 -1.08176700 -1.553508719
#> 215  1.42172317  0.840236231
#> 216  1.57338176  0.947201418
#> 217  0.46096798  1.712661119
#> 218 -1.11065775  2.050281331
#> 219 -1.04881408 -1.100510848
#> 220 -2.31751976  0.134158179
#> 221  0.70417237  0.584653766
#> 222  0.29622972 -0.005098707
#> 223 -0.53775459  0.138959154
#> 224 -0.11499753  0.170331516
#> 225 -0.62517797 -0.203160448
#> 226 -0.38622636 -1.218823411
#> 227  0.88085143  0.980176554
#> 228  0.63807624  3.197453684
#> 229 -5.50288253  0.541186231
#> 230 -2.81880191  2.029596444
#> 231 -1.87266809  1.533357213
#> 232 -1.07041952 -0.775555451
#> 233 -0.66935525 -0.670997930
#> 234 -0.80269797  1.292862740
#> 235  1.50806566  1.484146413
#> 236 -2.61270876 -0.549281592
#> 237 -1.02092829  0.026730042
#> 238  0.86036417  1.209687674
#> 239 -2.85840683 -2.438065518
#> 240 -0.52236544 -0.308316809
#> 241 -1.59564620  1.190630821
#> 242 -2.44468178 -2.548748925
#> 243 -1.78238092 -2.527440738
#> 244 -0.01779505 -0.361101449
#> 245 -0.80327691  2.723352154
#> 246  1.84579861  1.210574725
#> 247  2.50653465  0.613343411
#> 248 -2.27253936  0.390115132
#> 249 -0.95896004 -3.311658910
#> 250  1.68684463  0.243078480
#> 251 -1.54263194  1.447372005
#> 252  1.25117179  1.104509881
#> 253 -3.04684011 -1.336689141
#> 254  3.42088438  1.285243945
#> 255  0.64952661  1.484436027
#> 256 -0.62442647 -1.423124294
#> 257 -2.04755734  1.430701363
#> 258  0.77633303  1.020990364
#> 259  1.24116514  2.350226719
#> 260  1.15810469  1.002332161
#> 261  1.06910493 -0.391093078
#> 262 -1.07692160  0.310503801
#> 263  0.21862524  2.269831743
#> 264  0.52817923  0.924472460
#> 265 -1.99211952 -1.606431810
#> 266  3.54825017  0.496914301
#> 267 -1.03701870 -0.348476225
#> 268  2.04183370  0.624461814
#> 269  0.08987494 -0.981897991
#> 270  0.03905507  0.472143697
#> 271 -0.36000989  0.092850436
#> 272  0.24883083 -1.143522976
#> 273 -0.70012015  0.273815202
#> 274 -1.10430976 -2.905958554
#> 275  1.69721325  1.757494063
#> 276  0.36771230 -2.057420937
#> 277 -0.84274629 -1.529619895
#> 278  2.28700155 -0.316257561
#> 279 -1.42520149  1.562778747
#> 280  0.69137236  2.662223432
#> 281 -0.15323026 -0.399948523
#> 282 -0.19487700 -0.691128140
#> 283  0.49458664 -1.999301265
#> 284 -1.22048522 -0.912358120
#> 285  0.73257920 -1.306022912
#> 286  0.63974019 -0.234909075
#> 287  0.04726022  0.271641270
#> 288  1.32555205  0.147166515
#> 289 -0.14641491  0.243167585
#> 290  0.56014594 -0.315732571
#> 291 -0.38895624  0.883320908
#> 292  1.42737686 -0.259674777
#> 293 -1.23828435 -0.243639155
#> 294 -0.08382155  1.408301134
#> 295  0.62211862  0.132476456
#> 296  0.17727162 -0.601325727
#> 297  0.99166755  1.549875146
#> 298  0.18148061 -0.720917777
#> 299  2.14897640 -1.816897693
#> 300 -0.09404055  0.809960541
#> 301 -1.69041454 -0.465930511
#> 302 -0.63044211  0.099705366
#> 303 -0.71299022  0.538141781
#> 304  1.92703804  0.323536172
#> 305  1.04101327 -1.169296639
#> 306  2.04266100  1.881733667
#> 307 -0.18392017 -1.847089621
#> 308 -0.50304115  0.611392498
#> 309 -1.37487945  1.580939749
#> 310  1.11431467 -1.040356828
#> 311 -1.71905896  0.862591481
#> 312 -0.22594147  2.630137922
#> 313  0.29740733 -4.176497493
#> 314 -0.57583650  0.121789511
#> 315 -0.49187268 -2.567179926
#> 316  0.29151909 -2.820304351
#> 317  0.64526251  1.929678337
#> 318  0.93135120 -0.270368140
#> 319  1.43001780 -3.194272252
#> 320 -2.14983128  1.076920777
#> 321 -0.78784636 -0.746547509
#> 322  0.24301388  0.757610011
#> 323  0.54397806  0.103840225
#> 324  0.01267864  0.844714796
#> 325 -1.44980375  2.382912880
#> 326  0.05720076  2.235321589
#> 327 -2.11871601  0.309272256
#> 328 -1.41104411 -1.044735080
#> 329 -0.20880656  2.794893219
#> 330  0.47884201  1.074901287
#> 331 -2.71327316  0.786037168
#> 332  0.50071709  0.420793226
#> 333 -0.85427152 -1.247172961
#> 334  2.36925047 -0.636725534
#> 335  0.13572505  0.003634403
#> 336 -0.58520815  0.599849823
#> 337 -0.03185417 -1.389354027
#> 338  0.09673146 -0.943652769
#> 339  0.01667334 -2.049396800
#> 340  1.20028440 -2.741127503
#> 341 -1.89234675 -0.354854568
#> 342  0.42021642 -0.292628493
#> 343 -1.13128176  0.941534446
#> 344  0.02145855 -1.007008275
#> 345 -3.07621733 -2.971009816
#> 346 -0.07253901 -1.287512559
#> 347 -0.34307473 -0.741215940
#> 348 -0.76517841  0.152846850
#> 349 -0.55512878 -2.696554990
#> 350  2.10475199  0.110438202
#> 351 -0.25378340  3.276613494
#> 352  0.05339137  0.214815242
#> 353 -1.73484417 -0.812729034
#> 354 -0.05245805  1.322111837
#> 355  2.70344396  0.386175222
#> 356  0.71646857 -0.716567550
#> 357 -1.83069229 -0.104382243
#> 358  1.76577579  0.230586704
#> 359 -0.66365022  2.539137354
#> 360 -2.10626100  1.321843895
#> 361 -1.28535008  2.610177545
#> 362  1.78608091  3.561270194
#> 363  4.63499047  0.546269108
#> 364 -0.12091604 -0.445313730
#> 365 -1.23378904 -2.366672943
#> 366 -0.44941505 -0.511234596
#> 367  2.43870281  0.059535715
#> 368  0.20898332 -0.996484210
#> 369 -1.62330094  0.519792170
#> 370  0.92788588 -0.926740142
#> 371  0.64197338  0.863098171
#> 372 -0.76830227 -0.146527150
#> 373  0.01840121  2.659658439
#> 374 -1.18538076 -0.272268942
#> 375 -0.64806596  0.845992716
#> 376  1.32699490 -0.569200090
#> 377  1.16924085  1.352562675
#> 378  2.11022344  0.652783660
#> 379  0.18763873  0.329684957
#> 380 -1.22255752  0.412208353
#> 381 -1.60639913 -0.732433985
#> 382  0.48048449 -0.318944632
#> 383  0.43462143  0.038692106
#> 384  0.79482407 -0.986182792
#> 385 -0.96394377 -1.510609250
#> 386 -0.35411222  2.186733652
#> 387  0.05434203  0.715756548
#> 388  2.14689667  1.509079068
#> 389  1.04660180 -0.254059812
#> 390 -2.00641320  1.033775109
#> 391 -3.39977071  0.741264340
#> 392  0.13118995  2.282740858
#> 393  2.18368070 -0.931266100
#> 394  2.52187320  3.064472974
#> 395  2.59143305  1.503773957
#> 396 -0.29409719 -1.652907812
#> 397 -0.56020571  2.847933401
#> 398  0.09706961  1.010326874
#> 399  0.42563128  0.347957874
#> 400  2.49398622  1.262680542

# 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  
#>       0.0394        1.1379  
#> 

getRefit(fittedModel, getObservedResponse(fittedModel))
#> 
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#> 
#> Coefficients:
#>  (Intercept)  Environment1  
#>       0.0510        0.9571  
#> 

# get data frame that was used to fit the model
getData(fittedModel)
#>      ID observedResponse  Environment1 group time           x            y
#> 1     1      2.453657858  0.9960624995     1  357 0.653256813 0.8908850471
#> 2     2     -0.828336778 -0.2415031088     1   74 0.630562171 0.9669564639
#> 3     3      0.778045690  0.5320715331     1  205 0.102272007 0.5702867797
#> 4     4     -0.233776019  0.3579092622     1  262 0.149540758 0.1072084836
#> 5     5      1.333309314  0.7899031318     1  132 0.469718336 0.4237873207
#> 6     6     -0.496310829  0.4005181487     1  320 0.586952253 0.9038561934
#> 7     7      1.294744111  0.7177845044     1  221 0.072767201 0.6629881773
#> 8     8     -0.357968997  0.5058755521     1  248 0.654424228 0.1933884465
#> 9     9     -0.339333418 -0.5646694177     1  337 0.070543525 0.9782757252
#> 10   10      0.695429218  0.6900783642     1  384 0.927793193 0.1980860212
#> 11   11     -1.278748537 -0.5061839335     1  362 0.096013308 0.8545403099
#> 12   12      0.089687452  0.5353759802     1   55 0.122263515 0.0864530876
#> 13   13     -0.542576877 -0.1408085083     1  279 0.381466253 0.1693191386
#> 14   14     -1.269616632 -0.9340909920     1    5 0.087709128 0.1686480923
#> 15   15     -1.354839430  0.3947787122     1  305 0.188938600 0.8821068697
#> 16   16     -0.809164914  0.1112346877     1   54 0.858201692 0.1085148340
#> 17   17     -1.614011837 -0.7300431971     1  184 0.921540324 0.2176890490
#> 18   18      1.664196117  0.7319754385     1   32 0.857690905 0.3726653557
#> 19   19     -0.746366271  0.8395993649     1  383 0.776783721 0.2356356017
#> 20   20      0.569391820 -0.5634757611     1  125 0.433775268 0.9271279408
#> 21   21      0.303503324 -0.4054341875     1   47 0.943618244 0.5874593991
#> 22   22      0.223108122  0.6978906053     1   81 0.867372770 0.4203397601
#> 23   23     -0.509141746 -0.3965381761     1  386 0.201187585 0.7605965454
#> 24   24     -0.071292289  0.6608141745     1  267 0.012820888 0.5750778604
#> 25   25      0.638451066 -0.0400626659     1   68 0.073440575 0.4850290532
#> 26   26     -0.354002360 -0.4666077574     1   87 0.943420867 0.3348826158
#> 27   27      0.892019684 -0.2671898762     1  334 0.869253475 0.4554616858
#> 28   28     -0.943833055 -0.7813404417     1   61 0.137498825 0.2431806515
#> 29   29      0.428193501 -0.0416386686     1  131 0.378489658 0.5112502712
#> 30   30      1.180949552  0.4183684383     1  223 0.683298404 0.6939445511
#> 31   31     -0.869936585 -0.5368267749     1  197 0.013809039 0.2784429563
#> 32   32     -0.008121773 -0.1059300187     1  324 0.631133949 0.9174870048
#> 33   33      0.618080762  0.7133106934     1   66 0.378180687 0.3113693972
#> 34   34      1.179884199 -0.0195517959     1   62 0.565876110 0.6092093680
#> 35   35     -0.828067289 -0.5266609085     1  307 0.030164947 0.8819609175
#> 36   36      0.553680250 -0.4168996648     1  127 0.632471865 0.1451823080
#> 37   37     -0.911302509 -0.4562470345     1   60 0.453817846 0.1861553499
#> 38   38     -2.421555281 -0.7315015080     1  378 0.743314133 0.4991910607
#> 39   39      0.047940684 -0.9905176219     1  332 0.837603783 0.9284500766
#> 40   40      2.577728173  0.9453243422     1  222 0.183293801 0.7515953565
#> 41   41     -2.606230688 -0.6436399296     2  298 0.129792849 0.6307023547
#> 42   42     -1.364971115 -0.3352918462     2  182 0.488593804 0.5693795888
#> 43   43      0.299473712  0.9581911238     2  318 0.711750804 0.7876096584
#> 44   44     -0.290267477  0.8734273138     2  119 0.233232874 0.0293046082
#> 45   45     -1.592043773 -0.6092217271     2   15 0.023430505 0.0241338371
#> 46   46     -2.618958768  0.5204572887     2  157 0.446849718 0.2416094563
#> 47   47     -1.464211517 -0.2164073819     2  113 0.019186129 0.1517372034
#> 48   48     -2.315634723 -0.8305805889     2   14 0.784696083 0.0878167315
#> 49   49     -1.888213854 -0.6031356500     2  160 0.187418221 0.3260211824
#> 50   50     -0.996937354 -0.2684861305     2  287 0.179221528 0.5580139626
#> 51   51     -1.669265073  0.7569628628     2  370 0.241755045 0.0915218371
#> 52   52     -0.790629909  0.5004706406     2  210 0.911805813 0.8330842846
#> 53   53     -2.039083394 -0.8821355957     2   78 0.584738730 0.2625846379
#> 54   54     -1.242703481 -0.7839044775     2  364 0.712696955 0.0418681081
#> 55   55     -0.370210646  0.9622377674     2  333 0.390956588 0.3227031389
#> 56   56      0.335107845  0.8154588616     2  129 0.906948218 0.3044621330
#> 57   57      0.139432690  0.7925932747     2  232 0.317374183 0.5371955342
#> 58   58      0.647266981  0.8722089278     2   97 0.830025262 0.1847742479
#> 59   59     -1.260535258  0.4063805207     2  304 0.312192120 0.3589450570
#> 60   60     -2.291780308 -0.5595247471     2  190 0.809638021 0.5706888309
#> 61   61     -0.475867601  0.4305635905     2  124 0.620137532 0.6808666436
#> 62   62     -1.216464671  0.6374525763     2  303 0.752278120 0.0937378656
#> 63   63     -1.021464813 -0.3117389665     2  136 0.470082766 0.2990484880
#> 64   64     -0.678197299 -0.1249190890     2  139 0.667637056 0.8693178701
#> 65   65      0.147560649 -0.5045573581     2  105 0.065022052 0.7586213599
#> 66   66     -2.004533692 -0.6047688085     2  273 0.936886783 0.8068607335
#> 67   67      0.142907985 -0.8539155112     2  153 0.518541665 0.5849860546
#> 68   68     -1.743402627 -0.6893800911     2  224 0.019392667 0.2795068475
#> 69   69      0.467239855  0.5634435862     2  147 0.943991057 0.7073362707
#> 70   70     -1.431696510 -0.2478265390     2  309 0.809995054 0.9048638011
#> 71   71     -0.440518106 -0.4170853789     2    7 0.379183821 0.1986421233
#> 72   72     -2.197970361 -0.3143646060     2  329 0.924082743 0.5748666790
#> 73   73     -0.944098924  0.7963052257     2   91 0.039530126 0.4791351280
#> 74   74     -1.607739413  0.4037704766     2   90 0.538448040 0.9495786219
#> 75   75     -2.046327950 -0.2599456408     2   46 0.479081438 0.3925373943
#> 76   76     -1.825142983 -0.9410206294     2    9 0.010207550 0.0590967494
#> 77   77     -2.092150123 -0.0646654307     2  164 0.112178359 0.8071942143
#> 78   78     -2.192206360 -0.8600633629     2  372 0.322586253 0.4844308470
#> 79   79     -1.307041460 -0.7570388801     2  101 0.706385231 0.2749085450
#> 80   80     -1.439299577  0.4423058531     2  387 0.154901575 0.3115723443
#> 81   81      0.290306061  0.0380422869     3  313 0.714186340 0.9061672222
#> 82   82      0.949420532  0.4064040752     3  246 0.173166481 0.9328250773
#> 83   83     -1.242029395 -0.8993385732     3   67 0.117448410 0.2392562334
#> 84   84     -0.610773864  0.1567819556     3   49 0.915423305 0.8415852999
#> 85   85      0.504845049  0.3978837347     3  264 0.931287439 0.0838170773
#> 86   86     -0.175020924  0.2737955600     3  341 0.556505040 0.8689927233
#> 87   87      0.314058257 -0.4842559919     3  116 0.084179059 0.6277380148
#> 88   88      0.114964454 -0.7545351665     3  170 0.682403561 0.8418364632
#> 89   89     -2.660906808 -0.6192770698     3    1 0.812646714 0.3327155302
#> 90   90     -0.272261564 -0.2988473540     3  302 0.069246598 0.5891705276
#> 91   91      2.344072529  0.7743909750     3  374 0.904894194 0.9378754536
#> 92   92      0.088614881 -0.2251597494     3  103 0.934617336 0.0756514445
#> 93   93      1.961182555  0.0601526015     3   57 0.788049598 0.8880751582
#> 94   94      0.534398382  0.9612634899     3  237 0.541654770 0.5910803720
#> 95   95      1.276725575  0.6044633454     3  361 0.006823630 0.7585316156
#> 96   96      0.346914852 -0.2455679094     3  154 0.982476517 0.0832178306
#> 97   97      2.941326049  0.6506557008     3   86 0.206043933 0.6228283066
#> 98   98     -1.580347305 -0.6540352036     3   53 0.942646079 0.4723349211
#> 99   99      0.155354765  0.6466684537     3  123 0.574022658 0.9611027420
#> 100 100      0.300322434  0.0318405014     3   31 0.524517515 0.6347560748
#> 101 101     -1.365037152 -0.6322534312     3  367 0.348464634 0.9750133464
#> 102 102      2.194979873  0.9503041282     3  352 0.405968083 0.7440996675
#> 103 103      0.607429144  0.7184218979     3  226 0.977091768 0.6339930010
#> 104 104      0.299173049 -0.1978572789     3  277 0.429633670 0.3000145187
#> 105 105      0.250744205 -0.0784544107     3  130 0.525786694 0.2734003158
#> 106 106      0.343615633  0.5300683179     3  325 0.120211486 0.3704585447
#> 107 107      1.459449627 -0.6034472734     3  109 0.039548105 0.1123805491
#> 108 108      1.830142646  0.5819424097     3  212 0.999833936 0.2532309152
#> 109 109      0.198801185 -0.6426627352     3  200 0.635159972 0.7040555137
#> 110 110      0.718641456  0.2682454824     3   20 0.890341783 0.9952926952
#> 111 111     -1.945778645 -0.6874721283     3   99 0.025967845 0.4859860372
#> 112 112      1.774002604  0.4745536959     3   16 0.832138345 0.9214907747
#> 113 113     -1.143197642 -0.1374314390     3  306 0.305445602 0.9150742623
#> 114 114     -0.386434836 -0.6879373090     3  326 0.571569438 0.0737914271
#> 115 115      0.894155211 -0.1302509843     3  165 0.812014707 0.6793928980
#> 116 116     -0.310806717 -0.2544932705     3  389 0.559666903 0.5612908166
#> 117 117      0.447664429  0.3329663747     3   84 0.742652935 0.9389180026
#> 118 118      1.108164430 -0.9254932348     3  394 0.659585741 0.7244608596
#> 119 119      0.674003494 -0.3736193310     3  379 0.798460793 0.9545813671
#> 120 120      0.668228821 -0.2536786497     3  134 0.976782323 0.8610969889
#> 121 121      0.012685555  0.0220926064     4  350 0.132267290 0.8212964148
#> 122 122     -0.025034696 -0.1212887196     4  280 0.914911452 0.6579057444
#> 123 123      1.402539755  0.4493912971     4   58 0.490537286 0.0120295680
#> 124 124      0.465888861  0.9003636707     4  126 0.508323238 0.7773824986
#> 125 125     -1.636275161  0.4357705247     4   12 0.860593015 0.7989792926
#> 126 126      0.486296620  0.9991054400     4  217 0.030651767 0.8622886380
#> 127 127      2.068814179  0.7957090032     4  338 0.992468718 0.0933096772
#> 128 128      1.633207290  0.9247355852     4  203 0.550274527 0.8236111037
#> 129 129      2.598863944  0.9616437922     4  335 0.022955033 0.2439644418
#> 130 130      0.260197041 -0.4320253376     4   64 0.156100253 0.5221534842
#> 131 131     -0.971689032 -0.5124276802     4   73 0.721847171 0.3505660000
#> 132 132     -0.176020281 -0.7157547320     4  393 0.648494300 0.6435795675
#> 133 133     -0.892075041 -0.7182144397     4  365 0.571712984 0.7133523170
#> 134 134     -1.931590043 -0.2014654265     4  399 0.774227252 0.4881931569
#> 135 135     -1.125739349 -0.5303851701     4  349 0.824727933 0.1821352595
#> 136 136     -0.650729414  0.6678386065     4  135 0.642195547 0.5924058044
#> 137 137      0.532992807 -0.6001322391     4  100 0.778295608 0.7838008751
#> 138 138      0.173707457  0.5961017306     4  177 0.223120453 0.2781395409
#> 139 139      0.303593253  0.3717121915     4  204 0.710836342 0.4138816565
#> 140 140     -0.335100124 -0.0845588250     4  209 0.419848915 0.2334053458
#> 141 141      0.934901892 -0.1417053603     4   82 0.386076719 0.3088052035
#> 142 142     -0.582426972 -0.4433133798     4  143 0.950407556 0.5045611926
#> 143 143      0.908961186  0.9830617388     4  215 0.246683022 0.6631101433
#> 144 144      0.215065316 -0.2717251829     4  159 0.928250172 0.6890876105
#> 145 145     -0.359015299  0.5852627186     4  183 0.811124956 0.5281848935
#> 146 146     -1.775578806 -0.8507764530     4  196 0.864337891 0.3788806314
#> 147 147     -0.452449807 -0.2151942332     4  216 0.834777953 0.3065848306
#> 148 148     -0.003092273  0.3582192971     4   59 0.547577095 0.5711941151
#> 149 149      0.575162670  0.7868173639     4  299 0.085818709 0.5917507522
#> 150 150      1.361367697 -0.4493902368     4  347 0.740005394 0.5240821026
#> 151 151     -3.172390663 -0.5422160015     4   22 0.162429042 0.9359628789
#> 152 152     -1.761062674 -0.5644104322     4  263 0.282994285 0.5516204431
#> 153 153      2.344058747  0.6503237756     4   25 0.517955795 0.9167222728
#> 154 154     -0.944953663 -0.1106878365     4  311 0.546705657 0.2199693359
#> 155 155     -0.920122147 -0.3308408912     4  172 0.807654965 0.3639557778
#> 156 156     -1.691073231  0.6751895975     4  233 0.823434107 0.7843281224
#> 157 157     -1.257837195  0.1391978119     4  111 0.745309148 0.0926203502
#> 158 158     -0.943845184  0.5675319890     4  239 0.579640643 0.3560557452
#> 159 159     -0.666119601  0.0196894612     4  253 0.545410918 0.3635555969
#> 160 160     -1.781604909  0.8359513953     4  283 0.454568366 0.4001872798
#> 161 161      1.255752492  0.9647626905     5  390 0.125017331 0.3516777235
#> 162 162     -2.713206037 -0.7597528794     5  243 0.288781185 0.3788610070
#> 163 163     -0.181988170 -0.0056338478     5  231 0.070128652 0.4222502233
#> 164 164     -1.332153035 -0.4019194893     5  290 0.480098029 0.1880924581
#> 165 165     -1.123917626  0.8735294770     5  388 0.366440907 0.9603877079
#> 166 166     -0.885256538 -0.8467567954     5  274 0.098407217 0.4350437385
#> 167 167     -0.342435899 -0.2121500918     5  363 0.293510523 0.0838602958
#> 168 168      0.698027808  0.6803908325     5  202 0.633540714 0.4224337991
#> 169 169     -1.354468655  0.2258792059     5  285 0.015297279 0.2160859436
#> 170 170     -0.415898422 -0.0048084706     5  385 0.954634371 0.4856988944
#> 171 171      0.571513122  0.4025009898     5  207 0.477518180 0.0981356197
#> 172 172      0.287933780 -0.1996847172     5    6 0.417058548 0.3234270227
#> 173 173     -3.866883411 -0.7497571842     5  255 0.501111534 0.1226919445
#> 174 174     -1.345445455  0.6188313798     5   13 0.555580719 0.1388838654
#> 175 175      0.544041748  0.2467902834     5    2 0.634192127 0.1881559577
#> 176 176      0.676388721  0.9437335990     5  356 0.034897547 0.3011440348
#> 177 177     -0.714871901  0.6231932286     5   35 0.937100703 0.9228579060
#> 178 178     -0.433700270 -0.7086969540     5  336 0.623169487 0.2230227611
#> 179 179     -0.899787755 -0.6899925228     5  300 0.800319836 0.6565216447
#> 180 180      0.515065150  0.4357114499     5  137 0.822706767 0.5976401174
#> 181 181     -0.253565779  0.3925550235     5  249 0.929303614 0.2068981430
#> 182 182     -1.002434361  0.2361991834     5  252 0.392619838 0.5023497301
#> 183 183      0.407670298  0.2768939128     5  121 0.346284988 0.9139282811
#> 184 184     -1.038708417 -0.8455301616     5  228 0.616157320 0.0226150453
#> 185 185      0.668660923  0.8716919934     5  201 0.596759166 0.1911933329
#> 186 186     -0.408772204  0.2135302778     5  392 0.945044875 0.6971109952
#> 187 187      0.008851634  0.6834293185     5  321 0.886025458 0.6327874877
#> 188 188     -1.813462910 -0.9844792299     5   77 0.208683637 0.8851770465
#> 189 189     -3.624342686 -0.4322259095     5   18 0.547968983 0.5855597949
#> 190 190      0.772838070 -0.9450797257     5  354 0.877833648 0.9150107377
#> 191 191     -0.275940920  0.3007093705     5   11 0.697633917 0.0663954183
#> 192 192      1.037871646  0.4549820200     5  317 0.489201869 0.0358745134
#> 193 193     -1.116252444 -0.6800320423     5  146 0.858296376 0.8071184061
#> 194 194     -1.791240365 -0.4016723861     5  186 0.230681097 0.8404251502
#> 195 195     -2.485639613 -0.7474533911     5  151 0.237920022 0.6137385394
#> 196 196      0.432769840  0.8575453209     5  227 0.583848535 0.8307773301
#> 197 197      1.155940385  0.9387864056     5  114 0.779015312 0.0757186643
#> 198 198     -1.412013467  0.0708704796     5  400 0.565830776 0.6655600984
#> 199 199     -0.897140624  0.2679892858     5   43 0.470625896 0.7157895947
#> 200 200     -2.693000794 -0.9543238045     5  297 0.736765194 0.5642220271
#> 201 201     -0.918084723 -0.2427671794     6  149 0.823293308 0.8086849058
#> 202 202      1.642371841  0.8438872457     6  270 0.170295606 0.1715297054
#> 203 203      0.864330078 -0.8054517172     6  211 0.215201880 0.4297959763
#> 204 204      1.373378412  0.7130959411     6   33 0.277012884 0.9525962349
#> 205 205      0.831937071  0.3648567619     6  240 0.291446701 0.3162350606
#> 206 206      0.608323191  0.1209985274     6  265 0.499579492 0.5820297936
#> 207 207      0.933498646 -0.7317592227     6  244 0.280696978 0.0339830292
#> 208 208      0.245126476  0.0227270080     6   92 0.482419770 0.2314430594
#> 209 209     -1.022122534  0.5905470806     6  199 0.768527569 0.4814132820
#> 210 210     -0.946338332  0.7493772428     6   65 0.526405207 0.0205086689
#> 211 211     -0.961240934 -0.1851658910     6   50 0.494246555 0.5471812345
#> 212 212      1.709335076 -0.1211192803     6  142 0.348353108 0.9058072709
#> 213 213      1.496865282  0.8459775224     6  344 0.682439300 0.2940684119
#> 214 214     -0.389213205 -0.5842537936     6  310 0.653839137 0.7295598013
#> 215 215     -1.003413366  0.8359664930     6  241 0.047600599 0.7501993731
#> 216 216      0.164832328  0.8729333798     6    3 0.441953876 0.8803033466
#> 217 217     -0.386258099  0.2084194710     6  150 0.313547616 0.2841317230
#> 218 218      0.983181806  0.6948077320     6   29 0.950595566 0.0560812822
#> 219 219      1.314073300 -0.4458762207     6  369 0.336801894 0.8102059164
#> 220 220      2.370018441  0.0019821320     6  163 0.961602019 0.8744601298
#> 221 221     -0.321852505 -0.1919521079     6  192 0.680885976 0.9401609953
#> 222 222      0.444179642 -0.1114270925     6  282 0.533677725 0.1629159648
#> 223 223      0.969972895  0.4844378387     6  316 0.888219401 0.7895457791
#> 224 224      0.928405568 -0.5639222460     6  322 0.771116520 0.7632550932
#> 225 225      0.764366294 -0.6585250562     6  345 0.221824500 0.4976859903
#> 226 226      0.401545928  0.5775171584     6   96 0.593949137 0.9133636139
#> 227 227      0.166691739  0.9651290369     6  238 0.980921835 0.5911460840
#> 228 228      1.695065943 -0.4736499898     6  162 0.540465803 0.7446568329
#> 229 229      0.325488677 -0.7226982219     6  268 0.184476725 0.2629910759
#> 230 230     -0.770127036 -0.3486775723     6  155 0.635831510 0.7788651891
#> 231 231      1.506482702  0.3244491168     6  398 0.630548947 0.5124009408
#> 232 232     -0.050503013  0.2251607017     6  251 0.704924704 0.2763609812
#> 233 233     -0.124401325 -0.1565096420     6  194 0.537410447 0.7283277968
#> 234 234     -0.561672377 -0.7875789311     6  380 0.419834987 0.5397535944
#> 235 235     -1.040097499  0.3579734731     6  158 0.940343766 0.2916158678
#> 236 236     -1.023727283  0.0632812646     6  358 0.283689528 0.8843667083
#> 237 237      0.664986191  0.9654654609     6   56 0.755500123 0.2716909370
#> 238 238     -0.070536308  0.2453685934     6  261 0.042820134 0.7990986593
#> 239 239      0.468155307 -0.6631466099     6  108 0.187164197 0.6906271838
#> 240 240      0.607120917  0.8368615513     6   79 0.062679186 0.4924187143
#> 241 241      1.018680705  0.0746165649     7  230 0.050515538 0.4091798202
#> 242 242      1.093528407  0.4246957391     7   40 0.882084969 0.8029459629
#> 243 243      0.212787037 -0.1649191747     7  168 0.442848863 0.1515725709
#> 244 244      2.316335978 -0.1838941709     7  178 0.138506994 0.0375153301
#> 245 245     -0.284700358 -0.0626243516     7  286 0.267017469 0.7930378378
#> 246 246      0.067707391 -0.6937845978     7  360 0.068288085 0.7990165157
#> 247 247      1.802811390  0.3736739638     7  368 0.849233428 0.2820514077
#> 248 248      2.220198791 -0.2542677191     7   44 0.705443780 0.5866858528
#> 249 249     -0.628892636 -0.9335333700     7  397 0.987702428 0.8697028048
#> 250 250      1.101730770  0.9854931459     7  340 0.938783779 0.6240715333
#> 251 251      0.903951367 -0.7138843909     7  276 0.626069878 0.7041703907
#> 252 252      2.908349572 -0.1963639851     7  144 0.318250612 0.4955518560
#> 253 253      0.590666085 -0.0457354398     7  219 0.596367547 0.4801448302
#> 254 254      3.102550337  0.7257214463     7  289 0.753097851 0.8401184436
#> 255 255      2.072195201  0.8754436295     7   85 0.448005894 0.6057622549
#> 256 256      1.449126149 -0.0818013041     7   94 0.825306363 0.3509830772
#> 257 257      2.726067952 -0.1424199170     7  281 0.434508602 0.7388838409
#> 258 258      0.245095472 -0.4157921760     7   80 0.783256761 0.6294971153
#> 259 259      1.338707331  0.7119700685     7  245 0.401373337 0.7624185190
#> 260 260     -0.936311178 -0.0374327740     7  288 0.273867389 0.9501613413
#> 261 261      0.539525843 -0.5286141983     7  355 0.253984208 0.2652584324
#> 262 262      1.912085996  0.2998344800     7  198 0.397880553 0.8503206393
#> 263 263      2.104279955  0.9714283384     7  328 0.073716681 0.5381066068
#> 264 264      0.585913630  0.5382065857     7  254 0.760976523 0.1322624478
#> 265 265     -0.387085851 -0.2770168553     7  342 0.440855827 0.7187199746
#> 266 266      2.825310573  0.7402821570     7  110 0.580456192 0.4742256689
#> 267 267      2.766199896  0.8878541966     7   72 0.496133124 0.2792978319
#> 268 268      1.964619725  0.5617555859     7   93 0.841568367 0.7062352244
#> 269 269      2.074288352 -0.1082357690     7  366 0.684853489 0.6549325623
#> 270 270      0.787899352 -0.4895637934     7  381 0.755842410 0.1210550060
#> 271 271      1.703383559  0.4907327555     7  242 0.010512490 0.6374937780
#> 272 272      2.869294457  0.6540385867     7  161 0.860731006 0.3054640365
#> 273 273      3.802468093  0.5674366746     7  128 0.297326810 0.2302718654
#> 274 274      1.420529961 -0.6678406890     7   23 0.850668873 0.6268043530
#> 275 275     -2.404897901 -0.3184686354     7   41 0.750309320 0.0657544753
#> 276 276      1.071551082  0.7895332542     7  104 0.695155318 0.3760742401
#> 277 277      0.553723503 -0.3419520203     7   39 0.221941116 0.2126299168
#> 278 278      4.475263339  0.7929601837     7   30 0.912318130 0.1680166253
#> 279 279      1.533268260  0.9166033086     7  373 0.610260223 0.7693962338
#> 280 280     -1.832254435 -0.3897914654     7  301 0.152176242 0.3717113021
#> 281 281      0.858670691  0.2568469862     8  225 0.386569945 0.0249704698
#> 282 282      2.849849589 -0.3476716103     8   89 0.597200171 0.6329794538
#> 283 283      1.187649547 -0.8820807929     8   48 0.532908602 0.6806662693
#> 284 284      2.110584269 -0.7869126415     8  296 0.029303329 0.9230161032
#> 285 285      1.115292562 -0.4067881024     8  152 0.670011465 0.0133782409
#> 286 286      2.487605988 -0.0697708484     8  107 0.111219683 0.4034480264
#> 287 287      1.210205243 -0.2258174820     8   83 0.545845098 0.0013430566
#> 288 288      2.588820386 -0.0478225746     8  102 0.355278284 0.3333391054
#> 289 289      1.914690940 -0.5636117873     8  258 0.833885740 0.8378628970
#> 290 290      2.580794354  0.0062603336     8   95 0.897203488 0.1288921887
#> 291 291      0.715548319  0.2557434463     8   51 0.172790436 0.4264309637
#> 292 292      3.003833745  0.4148988803     8  106 0.290414622 0.8799017903
#> 293 293      2.944304630 -0.3715099711     8  214 0.209118518 0.6427409705
#> 294 294      3.311581613  0.5458495528     8  220 0.399089205 0.2488822464
#> 295 295      1.555451538  0.1361266491     8  169 0.214940510 0.0900030937
#> 296 296      1.074674433 -0.6590216653     8   19 0.129973350 0.7766408718
#> 297 297      2.482920059 -0.0371528869     8  284 0.479275352 0.6460470243
#> 298 298      1.596195353 -0.0850865594     8   34 0.009523849 0.2436140818
#> 299 299      2.139472786  0.3135960577     8  173 0.245561408 0.5672009746
#> 300 300     -0.176758863 -0.7486364739     8   98 0.265604785 0.7136064060
#> 301 301     -0.340691755 -0.5065186196     8  193 0.621184485 0.0652861171
#> 302 302      2.159297128 -0.5433485690     8    4 0.248521128 0.7599088710
#> 303 303      1.527148935 -0.3674209169     8  293 0.938111260 0.9449899329
#> 304 304     -0.109653552 -0.0544213005     8  278 0.473601346 0.6622055240
#> 305 305      1.711275180 -0.5625130031     8  353 0.117948642 0.9698908525
#> 306 306      2.657946104  0.4414750417     8  213 0.441521021 0.8178705971
#> 307 307      1.568311227 -0.0811725953     8  395 0.384599111 0.4246150590
#> 308 308      0.634421441  0.3721295251     8  371 0.932549641 0.0278975538
#> 309 309      3.323165983  0.3897839799     8   17 0.921072695 0.8393545116
#> 310 310     -0.157634289 -0.5413182192     8   26 0.550938369 0.4855677651
#> 311 311      3.469546830  0.5860403762     8  247 0.420137917 0.8889182366
#> 312 312      2.757420394  0.6528994688     8  339 0.153472378 0.1182805900
#> 313 313      1.497685996 -0.5555916904     8  260 0.820818552 0.9430239496
#> 314 314      2.100803126  0.8507441184     8   24 0.987524946 0.0063320897
#> 315 315      2.652657689 -0.8620402743     8  138 0.575270520 0.6129808971
#> 316 316     -0.321166938 -0.5241972217     8  250 0.301477528 0.2656834009
#> 317 317      2.068197232  0.6522515570     8  396 0.632300913 0.2903679616
#> 318 318      3.796333999 -0.5932799890     8  218 0.148108655 0.2378175594
#> 319 319      1.392675079 -0.0877032052     8  166 0.199385881 0.0728293492
#> 320 320      1.394544224 -0.5506860954     8  208 0.950552051 0.2497938545
#> 321 321     -2.181779759 -0.8367629931     9  235 0.952649485 0.9405308915
#> 322 322      1.105230202  0.8288259143     9  180 0.643423026 0.0504717373
#> 323 323      0.299103497  0.6809951141     9  343 0.963056363 0.3732233008
#> 324 324      0.017867506 -0.5160491429     9  189 0.110163568 0.8400586133
#> 325 325      1.124590949  0.6498187729     9  256 0.431424904 0.0959550920
#> 326 326      0.241282156  0.6416666885     9   76 0.622240087 0.5789370753
#> 327 327      0.980633387  0.1043022601     9  117 0.837713705 0.5709830569
#> 328 328     -0.281542506  0.0888434914     9   28 0.746382655 0.2525010633
#> 329 329      1.117125304  0.5485448446     9  269 0.192322384 0.8738415379
#> 330 330     -0.728640871 -0.3416796564     9  141 0.555704879 0.0228248790
#> 331 331      0.523856181  0.3047532481     9   88 0.568367806 0.4068983237
#> 332 332     -0.104585446 -0.4192889458     9  195 0.375687667 0.6452586679
#> 333 333      0.086571132 -0.9974702997     9  331 0.621843572 0.0070970820
#> 334 334     -0.899827087  0.1812567730     9  156 0.923908009 0.2784528923
#> 335 335     -0.327262221 -0.3263843888     9   37 0.334446569 0.4345643036
#> 336 336      0.344252215  0.3737469171     9  271 0.135447781 0.9660988953
#> 337 337     -2.001297352 -0.7043758240     9  257 0.186877079 0.0828529764
#> 338 338     -1.101615300 -0.3489291538     9  112 0.715882894 0.9411280127
#> 339 339     -1.951101671 -0.6213847660     9  330 0.635915040 0.7880949765
#> 340 340     -0.576898439 -0.1414770819     9  308 0.991130765 0.3808233482
#> 341 341     -1.126263589 -0.1049334663     9  315 0.588899826 0.9256801512
#> 342 342     -0.902797710 -0.5779801020     9  191 0.171879038 0.4556058443
#> 343 343      0.552194201  0.6885634051     9   75 0.928717723 0.3037289574
#> 344 344     -2.197080617 -0.9901413033     9  188 0.892950525 0.4562519523
#> 345 345     -0.262445573 -0.7970823380     9  140 0.684191073 0.7451158687
#> 346 346      0.529215067 -0.1082813628     9  122 0.008112332 0.4392077900
#> 347 347     -1.870696991 -0.9330967176     9  351 0.171086059 0.0288458201
#> 348 348      1.852340069  0.3316532751     9   63 0.729454166 0.4380517432
#> 349 349     -1.730179145 -0.0004051249     9   69 0.487887308 0.0003081441
#> 350 350     -0.221337153  0.4563822066     9  234 0.934793848 0.1335419649
#> 351 351      0.174583242  0.8863607477     9  377 0.664279319 0.2595426950
#> 352 352     -2.058454287 -0.1795074074     9  382 0.872543221 0.1176272300
#> 353 353     -0.752049922 -0.6035984885     9  323 0.994163883 0.8617069940
#> 354 354     -0.692002603  0.0256400644     9  327 0.652520986 0.2032806599
#> 355 355     -0.435817240 -0.4932646379     9  181 0.111826189 0.9345353923
#> 356 356      0.827360375  0.9344215444     9   27 0.360094420 0.8166087500
#> 357 357     -0.310531126  0.0965321269     9  359 0.578520926 0.5333367961
#> 358 358      1.602541465  0.8665305553     9  229 0.928937111 0.8658891914
#> 359 359      1.306129424  0.9430375076     9  185 0.380883786 0.5178224763
#> 360 360     -1.638214365  0.1871645730     9  145 0.215055217 0.2845501811
#> 361 361     -1.268047291  0.1290700571    10  291 0.961537936 0.4479385151
#> 362 362     -1.822048315  0.2268931805    10  176 0.719469586 0.8066026238
#> 363 363      2.611730592  0.7132322532    10  206 0.256488979 0.6048767818
#> 364 364      0.829281601  0.6059019724    10  174 0.419455763 0.7828225470
#> 365 365     -0.930862204 -0.3340003453    10  167 0.704861408 0.2517714626
#> 366 366     -0.905993139  0.1685026735    10   71 0.578167409 0.7241959772
#> 367 367     -0.921638951  0.9815527024    10  171 0.396341634 0.1906652171
#> 368 368     -2.220283520 -0.3442604076    10  275 0.299536245 0.0885386942
#> 369 369     -0.509819336 -0.1179913618    10  118 0.750043749 0.8814451746
#> 370 370     -0.131404766 -0.1317986418    10  312 0.587734632 0.4036239707
#> 371 371     -2.075277449 -0.4613235523    10   70 0.211696755 0.9714663043
#> 372 372     -2.713317100 -0.5464809500    10  292 0.395086627 0.1331916868
#> 373 373      0.492709524  0.3952196091    10  115 0.831793559 0.6391849318
#> 374 374     -2.698777021 -0.7141728867    10  236 0.336016321 0.0863452626
#> 375 375     -0.809151214  0.0012689796    10   45 0.722247015 0.8057735439
#> 376 376      0.152408986  0.8219025210    10  175 0.049290797 0.1300353142
#> 377 377     -1.625260113 -0.1116333283    10  346 0.392692252 0.5076366123
#> 378 378      0.639995418  0.1927865422    10  266 0.138226157 0.2672930732
#> 379 379     -1.272354719  0.3750132225    10  348 0.971017512 0.5827158829
#> 380 380     -1.572505770 -0.9095729999    10  133 0.337985484 0.7076068183
#> 381 381     -1.208364581 -0.7508260184    10  148 0.522001930 0.6775658561
#> 382 382     -0.446097613 -0.1493401020    10   10 0.707785746 0.6773950446
#> 383 383      0.082213051  0.4455056740    10    8 0.007462253 0.2964806294
#> 384 384     -1.720793230  0.0644712844    10  187 0.126879997 0.0733539541
#> 385 385     -2.459372684 -0.0868085525    10  314 0.085256559 0.1871421491
#> 386 386     -0.575229201  0.6052440419    10   38 0.314833005 0.8872882838
#> 387 387      0.216414684  0.2744004112    10   36 0.986785345 0.8457384047
#> 388 388     -0.818330111  0.8397448654    10  319 0.550516509 0.4412613777
#> 389 389     -0.691070247  0.7471180828    10   52 0.784662683 0.4526858653
#> 390 390     -2.519502263 -0.6267953529    10  391 0.588398299 0.5176218466
#> 391 391     -1.102732160 -0.9434729703    10  179 0.885827860 0.6425564219
#> 392 392     -0.324941648  0.1829539058    10  294 0.138976784 0.5571263558
#> 393 393     -0.455044473  0.2910517678    10  259 0.253344581 0.0851187203
#> 394 394     -0.758382867  0.6022340860    10  272 0.690646366 0.2756956159
#> 395 395      0.263991277 -0.1986814104    10  120 0.182907603 0.6539147040
#> 396 396      0.351335102 -0.2725842092    10  295 0.820380509 0.5567755259
#> 397 397      0.599929941  0.4825311857    10   42 0.134202013 0.7898312830
#> 398 398     -0.763555752 -0.6335825622    10   21 0.046223387 0.1683430437
#> 399 399     -1.210706188  0.6397964223    10  375 0.901391606 0.8000954688
#> 400 400      2.435870892  0.9778621597    10  376 0.475442290 0.5152154223
#>     expectedMean
#> 1    0.975350418
#> 2   -0.262215190
#> 3    0.511359452
#> 4    0.337197181
#> 5    0.769191050
#> 6    0.379806067
#> 7    0.697072423
#> 8    0.485163471
#> 9   -0.585381499
#> 10   0.669366283
#> 11  -0.526896015
#> 12   0.514663899
#> 13  -0.161520590
#> 14  -0.954803073
#> 15   0.374066631
#> 16   0.090522606
#> 17  -0.750755278
#> 18   0.711263357
#> 19   0.818887283
#> 20  -0.584187843
#> 21  -0.426146269
#> 22   0.677178524
#> 23  -0.417250258
#> 24   0.640102093
#> 25  -0.060774747
#> 26  -0.487319839
#> 27  -0.287901958
#> 28  -0.802052523
#> 29  -0.062350750
#> 30   0.397656357
#> 31  -0.557538856
#> 32  -0.126642100
#> 33   0.692598612
#> 34  -0.040263877
#> 35  -0.547372990
#> 36  -0.437611746
#> 37  -0.476959116
#> 38  -0.752213589
#> 39  -1.011229703
#> 40   0.924612261
#> 41  -1.782459634
#> 42  -1.474111551
#> 43  -0.180628581
#> 44  -0.265392391
#> 45  -1.748041431
#> 46  -0.618362416
#> 47  -1.355227086
#> 48  -1.969400293
#> 49  -1.741955354
#> 50  -1.407305835
#> 51  -0.381856842
#> 52  -0.638349064
#> 53  -2.020955300
#> 54  -1.922724182
#> 55  -0.176581937
#> 56  -0.323360843
#> 57  -0.346226430
#> 58  -0.266610777
#> 59  -0.732439184
#> 60  -1.698344451
#> 61  -0.708256114
#> 62  -0.501367128
#> 63  -1.450558671
#> 64  -1.263738793
#> 65  -1.643377062
#> 66  -1.743588513
#> 67  -1.992735215
#> 68  -1.828199795
#> 69  -0.575376118
#> 70  -1.386646243
#> 71  -1.555905083
#> 72  -1.453184310
#> 73  -0.342514479
#> 74  -0.735049228
#> 75  -1.398765345
#> 76  -2.079840334
#> 77  -1.203485135
#> 78  -1.998883067
#> 79  -1.895858584
#> 80  -0.696513851
#> 81   0.126889724
#> 82   0.495251513
#> 83  -0.810491136
#> 84   0.245629393
#> 85   0.486731172
#> 86   0.362642997
#> 87  -0.395408554
#> 88  -0.665687729
#> 89  -0.530429632
#> 90  -0.209999917
#> 91   0.863238412
#> 92  -0.136312312
#> 93   0.149000039
#> 94   1.050110927
#> 95   0.693310783
#> 96  -0.156720472
#> 97   0.739503138
#> 98  -0.565187766
#> 99   0.735515891
#> 100  0.120687939
#> 101 -0.543405994
#> 102  1.039151566
#> 103  0.807269335
#> 104 -0.109009841
#> 105  0.010393027
#> 106  0.618915755
#> 107 -0.514599836
#> 108  0.670789847
#> 109 -0.553815298
#> 110  0.357092920
#> 111 -0.598624691
#> 112  0.563401133
#> 113 -0.048584002
#> 114 -0.599089872
#> 115 -0.041403547
#> 116 -0.165645833
#> 117  0.421813812
#> 118 -0.836645797
#> 119 -0.284771894
#> 120 -0.164831212
#> 121  0.044490579
#> 122 -0.098890747
#> 123  0.471789270
#> 124  0.922761643
#> 125  0.458168497
#> 126  1.021503413
#> 127  0.818106976
#> 128  0.947133558
#> 129  0.984041765
#> 130 -0.409627365
#> 131 -0.490029708
#> 132 -0.693356759
#> 133 -0.695816467
#> 134 -0.179067454
#> 135 -0.507987198
#> 136  0.690236579
#> 137 -0.577734267
#> 138  0.618499703
#> 139  0.394110164
#> 140 -0.062160852
#> 141 -0.119307388
#> 142 -0.420915407
#> 143  1.005459711
#> 144 -0.249327210
#> 145  0.607660691
#> 146 -0.828378481
#> 147 -0.192796261
#> 148  0.380617270
#> 149  0.809215336
#> 150 -0.426992264
#> 151 -0.519818029
#> 152 -0.542012460
#> 153  0.672721748
#> 154 -0.088289864
#> 155 -0.308442919
#> 156  0.697587570
#> 157  0.161595784
#> 158  0.589929961
#> 159  0.042087434
#> 160  0.858349368
#> 161  0.053865892
#> 162 -1.670649678
#> 163 -0.916530646
#> 164 -1.312816288
#> 165 -0.037367321
#> 166 -1.757653594
#> 167 -1.123046890
#> 168 -0.230505966
#> 169 -0.685017593
#> 170 -0.915705269
#> 171 -0.508395809
#> 172 -1.110581516
#> 173 -1.660653983
#> 174 -0.292065419
#> 175 -0.664106515
#> 176  0.032836801
#> 177 -0.287703570
#> 178 -1.619593752
#> 179 -1.600889321
#> 180 -0.475185348
#> 181 -0.518341775
#> 182 -0.674697615
#> 183 -0.634002886
#> 184 -1.756426960
#> 185 -0.039204805
#> 186 -0.697366521
#> 187 -0.227467480
#> 188 -1.895376028
#> 189 -1.343122708
#> 190 -1.855976524
#> 191 -0.610187428
#> 192 -0.455914778
#> 193 -1.590928841
#> 194 -1.312569185
#> 195 -1.658350190
#> 196 -0.053351478
#> 197  0.027889607
#> 198 -0.840026319
#> 199 -0.642907513
#> 200 -1.865220603
#> 201 -0.108797008
#> 202  0.977857417
#> 203 -0.671481546
#> 204  0.847066112
#> 205  0.498826933
#> 206  0.254968699
#> 207 -0.597789051
#> 208  0.156697179
#> 209  0.724517252
#> 210  0.883347414
#> 211 -0.051195720
#> 212  0.012850891
#> 213  0.979947694
#> 214 -0.450283622
#> 215  0.969936664
#> 216  1.006903551
#> 217  0.342389642
#> 218  0.828777903
#> 219 -0.311906049
#> 220  0.135952303
#> 221 -0.057981937
#> 222  0.022543079
#> 223  0.618408010
#> 224 -0.429952075
#> 225 -0.524554885
#> 226  0.711487330
#> 227  1.099099208
#> 228 -0.339679819
#> 229 -0.588728051
#> 230 -0.214707401
#> 231  0.458419288
#> 232  0.359130873
#> 233 -0.022539471
#> 234 -0.653608760
#> 235  0.491943644
#> 236  0.197251436
#> 237  1.099435632
#> 238  0.379338765
#> 239 -0.529176439
#> 240  0.970831723
#> 241  1.280138549
#> 242  1.630217723
#> 243  1.040602809
#> 244  1.021627813
#> 245  1.142897632
#> 246  0.511737386
#> 247  1.579195947
#> 248  0.951254265
#> 249  0.271988614
#> 250  2.191015130
#> 251  0.491637593
#> 252  1.009157999
#> 253  1.159786544
#> 254  1.931243430
#> 255  2.080965613
#> 256  1.123720680
#> 257  1.063102067
#> 258  0.789729808
#> 259  1.917492052
#> 260  1.168089210
#> 261  0.676907785
#> 262  1.505356464
#> 263  2.176950322
#> 264  1.743728569
#> 265  0.928505128
#> 266  1.945804141
#> 267  2.093376180
#> 268  1.767277570
#> 269  1.097286215
#> 270  0.715958190
#> 271  1.696254739
#> 272  1.859560570
#> 273  1.772958658
#> 274  0.537681295
#> 275  0.887053348
#> 276  1.995055238
#> 277  0.863569963
#> 278  1.998482167
#> 279  2.122125292
#> 280  0.815730518
#> 281  2.352914786
#> 282  1.748396190
#> 283  1.213987007
#> 284  1.309155158
#> 285  1.689279698
#> 286  2.026296951
#> 287  1.870250318
#> 288  2.048245225
#> 289  1.532456013
#> 290  2.102328133
#> 291  2.351811246
#> 292  2.510966680
#> 293  1.724557829
#> 294  2.641917353
#> 295  2.232194449
#> 296  1.437046135
#> 297  2.058914913
#> 298  2.010981240
#> 299  2.409663858
#> 300  1.347431326
#> 301  1.589549180
#> 302  1.552719231
#> 303  1.728646883
#> 304  2.041646499
#> 305  1.533554797
#> 306  2.537542842
#> 307  2.014895205
#> 308  2.468197325
#> 309  2.485851780
#> 310  1.554749581
#> 311  2.682108176
#> 312  2.748967269
#> 313  1.540476110
#> 314  2.946811918
#> 315  1.234027526
#> 316  1.571870578
#> 317  2.748319357
#> 318  1.502787811
#> 319  2.008364595
#> 320  1.545381704
#> 321 -1.266381560
#> 322  0.399207348
#> 323  0.251376548
#> 324 -0.945667710
#> 325  0.220200206
#> 326  0.212048122
#> 327 -0.325316307
#> 328 -0.340775075
#> 329  0.118926278
#> 330 -0.771298223
#> 331 -0.124865319
#> 332 -0.848907512
#> 333 -1.427088866
#> 334 -0.248361794
#> 335 -0.756002955
#> 336 -0.055871649
#> 337 -1.133994391
#> 338 -0.778547720
#> 339 -1.051003333
#> 340 -0.571095649
#> 341 -0.534552033
#> 342 -1.007598669
#> 343  0.258944838
#> 344 -1.419759870
#> 345 -1.226700905
#> 346 -0.537899929
#> 347 -1.362715284
#> 348 -0.097965292
#> 349 -0.430023691
#> 350  0.026763640
#> 351  0.456742181
#> 352 -0.609125974
#> 353 -1.033217055
#> 354 -0.403978502
#> 355 -0.922883205
#> 356  0.504802978
#> 357 -0.333086440
#> 358  0.436911989
#> 359  0.513418941
#> 360 -0.242453994
#> 361 -0.509330517
#> 362 -0.411507393
#> 363  0.074831679
#> 364 -0.032498601
#> 365 -0.972400919
#> 366 -0.469897900
#> 367  0.343152129
#> 368 -0.982660981
#> 369 -0.756391936
#> 370 -0.770199216
#> 371 -1.099724126
#> 372 -1.184881524
#> 373 -0.243180965
#> 374 -1.352573460
#> 375 -0.637131594
#> 376  0.183501947
#> 377 -0.750033902
#> 378 -0.445614032
#> 379 -0.263387351
#> 380 -1.547973574
#> 381 -1.389226592
#> 382 -0.787740676
#> 383 -0.192894900
#> 384 -0.573929289
#> 385 -0.725209126
#> 386 -0.033156532
#> 387 -0.364000163
#> 388  0.201344292
#> 389  0.108717509
#> 390 -1.265195927
#> 391 -1.581873544
#> 392 -0.455446668
#> 393 -0.347348806
#> 394 -0.036166488
#> 395 -0.837081984
#> 396 -0.910984783
#> 397 -0.155869388
#> 398 -1.271983136
#> 399  0.001395849
#> 400  0.339461586