Wrapper to simulate from a fitted model.
Usage
getSimulations(object, nsim = 1, simulateREs = c("conditional",
"unconditional", "user-specified"), type = c("normal", "refit"), ...)
# Default S3 method
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'negbin'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'gam'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), mgcViz = TRUE, ...)
# S3 method for class 'merMod'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'glmmTMB'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'HLfit'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'MixMod'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'phylolm'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'phyloglm'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)
# S3 method for class 'brmsfit'
getSimulations(object, nsim = 1,
simulateREs = c("conditional", "unconditional", "user-specified"),
type = c("normal", "refit"), ...)Arguments
- object
a fitted model.
- nsim
number of simulations.
- simulateREs
which hierarchical levels should be re-simulated. If
conditional, the simulations are done conditional on all fitted random effects (default). Ifunconditional, all hierarchical levels are re-simulated, including the random effects. Withuser-specified, the default simulate function of the respective fitted model object is used. See details and simulateResiduals.- type
if simulations should be prepared for getQuantile or for refit.
- ...
additional parameters to be passed on, usually to the simulate function of the respective model class.
- mgcViz
whether simulations should be created with mgcViz (if mgcViz is available)
Details
The purpose of this function is to wrap or implement the simulate function of different model classes to return simulations from fitted models in a standardized way.
One important parameter is simulateRE, which controls which hierarchical levels are held constant (conditioned on), and which are re-simulated. The default as of DHARMa 0.5.0 is to simulate "conditional" on all fitted random effects. The setting "unconditional" re-simulates all REs.
With simulateREs = "user-specified", users can supply additional parameters to the simulate function of the respective model class and thus condition on specific REs or structures. The exact behavior will depdend on the regression package. For details, please see vignette, or consult the help of the different packages. If choosing simulateREs = "user-specified" with no additional parameters, the default simulation function of the respective regression package is used. This corresponds to the DHARMa behavior prior to 0.5.0.
If the model was fit with weights and the respective model class does not include the weights in the simulations, getSimulations will throw a warning. The background is if weights are used on the likelihood directly, then what is fitted is effectively a pseudo likelihood, and there is no way to directly simulate from the specified likelihood. Whether or not residuals can be used in this case depends very much on what is tested and how weights are used. I'm sorry to say that it is hard to give a general recommendation, you have to consult someone that understands how weights are processed in the respective model class.
Examples
testData = createData(sampleSize = 400, family = gaussian())
fittedModel <- lm(observedResponse ~ Environment1 , data = testData)
# response that was used to fit the model
getObservedResponse(fittedModel)
#> [1] 1.593318381 1.555582738 -0.991391608 1.240258103 2.134103640
#> [6] 1.662957103 3.572028179 2.545928817 0.061011610 0.918917355
#> [11] 1.582285061 0.857054581 3.132139071 0.779065250 0.661984766
#> [16] 1.551836958 1.814564129 1.365515800 3.345880207 -0.034327963
#> [21] 0.618403469 2.901355590 -0.176268687 1.376925313 0.766619149
#> [26] 1.517197865 0.920917346 1.462073397 1.450019403 1.241640649
#> [31] 1.863663408 0.007911129 1.284109612 -1.206873510 -0.079621769
#> [36] -0.471619856 1.935309020 1.406363303 1.882758236 0.371307739
#> [41] 1.775100732 2.467870397 2.151587558 -0.781068887 2.082440982
#> [46] 2.804721138 -0.174689999 2.190132505 3.121628446 3.185362357
#> [51] 2.928567275 1.824434766 2.924046921 0.726137500 0.775622276
#> [56] 0.975613866 1.286732100 2.371444421 2.682297657 3.481833895
#> [61] 2.937028589 1.384454841 3.008970256 3.079496308 2.648300588
#> [66] 1.960226865 1.541382823 2.244514795 2.963964660 1.732842060
#> [71] 0.876977094 2.839837470 1.163766437 1.865729178 1.801820757
#> [76] 1.117170611 0.170867158 1.472799224 2.450974214 0.855190946
#> [81] -0.729514108 -0.709737023 -0.617906124 -0.732481103 0.292555482
#> [86] -0.652578026 -0.406810391 -0.615278812 0.439491387 0.978716262
#> [91] 1.177011744 -0.970510493 -2.182198951 0.546960883 -0.729869259
#> [96] 0.308177147 1.122974813 -0.398074643 -0.636960226 0.480050339
#> [101] 0.075419309 -0.541054461 -2.622329981 0.975990811 -0.702722936
#> [106] 1.555815285 0.590948227 0.173906195 -1.201964045 0.784803438
#> [111] 1.697881265 -2.549120305 0.238991029 1.188003714 -1.813351424
#> [116] 0.447512102 -0.891296161 -0.177802732 0.675584939 2.272905631
#> [121] 0.089265637 -1.546004360 0.826333995 -0.463650681 -0.586121787
#> [126] -1.172384449 2.045207999 -0.403965571 -0.649397248 1.668520757
#> [131] -1.028348697 -1.053429030 -0.505882599 1.730415220 -0.728479223
#> [136] 0.143490610 -1.520510659 0.045831266 -1.179842884 -0.823074864
#> [141] -0.093724123 0.015120884 0.922739497 -0.093743834 -1.573198723
#> [146] -1.379723986 -0.302028810 0.778310643 -1.717205286 -1.197524046
#> [151] -1.202481786 -0.205281215 0.038798300 1.502300808 1.175176872
#> [156] -1.704425044 0.117634085 -0.342171809 -0.913463648 0.433722975
#> [161] -1.926703455 -0.286769443 -1.691975805 -0.410442265 -0.345221485
#> [166] -1.585466105 -1.334798761 0.128141141 -3.608869773 -0.140736470
#> [171] -0.364267347 -0.736464313 -0.175823749 -3.394123255 -1.833772277
#> [176] -0.452781916 -0.367688354 -1.754451029 -0.642721690 0.379659289
#> [181] -0.277565757 -1.124047368 -0.652561178 0.414000714 -1.393468037
#> [186] -1.695787435 -0.905835620 -0.483500792 -3.248994839 -0.285498394
#> [191] -0.296012020 0.408896577 1.347187722 -1.253022390 -1.108613840
#> [196] 1.767697797 1.898330587 0.791189568 -2.239149727 0.791677349
#> [201] 0.026264649 1.271399228 1.852515001 3.600926714 0.553438042
#> [206] 2.799803154 2.701140488 1.289101022 2.232230545 0.298081035
#> [211] 0.429785881 0.788913594 1.249111659 1.029792161 0.492115729
#> [216] 1.149734092 0.993539492 -0.441975629 -1.127944711 1.570804633
#> [221] 1.461170978 1.667082224 1.548993813 1.060559179 2.263310304
#> [226] -0.675174524 0.846502109 -0.013375299 1.465823311 -0.380677690
#> [231] 0.316643273 1.232031170 3.224567414 0.235722558 1.581045049
#> [236] -0.175807310 -0.216425465 1.482605537 2.502901814 0.898147245
#> [241] 1.269050267 0.720372384 0.279757972 -1.133749559 0.176098182
#> [246] 0.820215318 0.344857623 0.710147680 -1.103420442 -0.009161830
#> [251] -0.256048859 0.794593244 0.875812582 -0.720273346 -1.104902760
#> [256] 0.084776348 -2.710014005 0.024513285 -1.718853410 -2.153730816
#> [261] -0.621365018 1.078514186 0.800236469 -1.364182892 0.641425213
#> [266] 1.743868208 2.601953035 -0.097622052 0.014990150 2.083916504
#> [271] -0.364268060 2.550843603 0.437027741 0.669794624 -0.033116444
#> [276] -0.168087384 1.403049376 0.210303566 0.694640573 -0.346923558
#> [281] 1.429745368 1.953856922 1.206731389 1.857608391 2.996146894
#> [286] 0.854724914 2.605002316 2.870147535 2.381500290 1.019432982
#> [291] 2.325005639 0.411692379 1.701983830 3.773109498 1.561157211
#> [296] 0.209610383 3.704004634 2.163975389 2.982954899 2.557081395
#> [301] 1.145098413 2.712350035 -1.122048829 2.260659488 0.431761492
#> [306] 1.605619086 1.855284224 2.067623040 2.580834655 0.952631119
#> [311] -0.168928936 1.804488498 0.439893969 2.593401100 2.016734822
#> [316] 1.467339847 0.954517899 2.613289075 -1.352385479 2.291783642
#> [321] 0.496897561 -2.135807646 1.223297645 0.733721538 0.113397971
#> [326] 0.919000484 0.464035259 -1.141167990 0.430723437 1.875459244
#> [331] 0.345185945 -1.868133181 2.343453440 -1.678744022 1.217427294
#> [336] 0.245843421 0.219793094 -1.069939566 0.684148939 0.360448489
#> [341] -0.692342478 0.683320273 -0.136034474 0.292571599 0.994416325
#> [346] -1.594407807 0.349316494 1.094737647 0.352991850 -0.821459705
#> [351] -1.134796352 0.410368647 -2.051910228 2.045642694 -0.908474824
#> [356] -1.506462314 1.429801951 -0.579968850 -0.341188691 -0.813157763
#> [361] 0.224921768 0.017603383 -0.232063534 -1.729190303 -0.389506239
#> [366] 1.534021532 -1.295449973 -1.118016293 -0.773913419 -0.162789377
#> [371] -0.803201100 1.045815620 0.357015250 0.156716713 -0.843715006
#> [376] -0.804655500 -0.586904542 -0.414560784 0.978463256 -0.107387575
#> [381] 1.689865408 -1.768889847 -0.761261849 -0.615079045 0.938968061
#> [386] -0.151873774 1.532113382 1.588213699 -1.087249927 -1.184533119
#> [391] -0.342397203 -1.146074803 -0.532597010 -1.495071448 -0.766089752
#> [396] -0.987983692 0.942207680 0.403515194 0.651535038 -1.174685519
# 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 -1.110582997 1.8552561974
#> 2 1.870485183 1.7466958342
#> 3 0.067339269 0.1582197391
#> 4 1.700201661 -0.4463757793
#> 5 0.599581865 -1.5704696187
#> 6 3.845987891 1.1374272410
#> 7 0.365836062 0.2057099824
#> 8 0.352365221 -1.9328243730
#> 9 -2.172471382 0.1982397698
#> 10 2.422937527 0.4606970328
#> 11 -0.515583419 -1.0664048758
#> 12 1.118152131 1.4581631848
#> 13 -0.609970034 0.7534940104
#> 14 1.252393732 -0.2670055865
#> 15 -1.991572323 0.2770517982
#> 16 -1.201697128 0.2111095782
#> 17 -0.753658277 -1.6991119392
#> 18 1.709148740 2.3315929336
#> 19 1.717550889 -0.6617909834
#> 20 -3.272450606 -0.4082056734
#> 21 -0.813717175 1.0606887662
#> 22 -0.063853302 3.4033567263
#> 23 -0.221860863 -1.1867888187
#> 24 -1.170283211 1.0776558368
#> 25 1.784875714 2.1285169076
#> 26 0.071489211 2.6739884573
#> 27 -0.021429957 -0.3422602880
#> 28 -0.398432999 -1.4301830614
#> 29 1.850251463 0.0139086924
#> 30 -0.728278656 -0.1433340883
#> 31 0.273337718 0.8938351122
#> 32 -0.004066460 1.0593250505
#> 33 2.032704100 2.3221720047
#> 34 1.821626987 -1.0914128916
#> 35 0.562297797 3.0219210768
#> 36 0.275753899 0.1272577854
#> 37 -1.327995754 -0.2606342498
#> 38 0.474076739 0.1839367064
#> 39 2.567441289 0.6820722991
#> 40 2.074459356 0.0666751034
#> 41 2.349900132 0.3907313008
#> 42 0.063415466 0.8146435574
#> 43 -0.046516418 1.1863670779
#> 44 3.105502830 0.4688450466
#> 45 1.807120964 -0.2879143895
#> 46 1.450628049 0.4758802047
#> 47 -0.425359424 0.4945568710
#> 48 0.239141551 -0.3563693650
#> 49 0.459429996 -1.4730487195
#> 50 1.344012185 -1.8425979465
#> 51 1.444865119 0.2533633050
#> 52 0.645543642 -0.0351734974
#> 53 1.330830199 0.0983280373
#> 54 1.880725095 0.9349065640
#> 55 -0.708087802 1.1380436430
#> 56 -0.696189801 1.0030567062
#> 57 1.521527986 0.7258558614
#> 58 -2.675188644 1.4678710855
#> 59 -1.040325618 1.4319473118
#> 60 2.235685221 0.1128007477
#> 61 1.929930461 -0.4015377211
#> 62 0.903460736 1.2380358009
#> 63 2.050562744 1.5953166330
#> 64 0.662754901 0.9202534976
#> 65 0.448785848 0.4138790081
#> 66 0.724391600 -2.5365056521
#> 67 1.952291998 3.5122856023
#> 68 0.739843125 1.0013735961
#> 69 -1.096980817 0.2859438166
#> 70 0.764560166 -0.7915515082
#> 71 -0.768808771 1.3845325021
#> 72 2.983959880 -1.7332884460
#> 73 2.106214202 0.8050783831
#> 74 0.655983115 0.9071791524
#> 75 -0.615159364 0.5323060634
#> 76 -0.919043738 1.9231775350
#> 77 -0.141687175 0.2429057702
#> 78 0.443244367 1.4330359248
#> 79 -2.295482994 -0.7456320956
#> 80 0.679359023 1.3903280660
#> 81 0.563568876 -0.1767295792
#> 82 -0.356765390 1.3009577347
#> 83 -0.414805360 1.2558653670
#> 84 -1.429549189 -0.1222433495
#> 85 2.533311666 2.3076720127
#> 86 0.945821457 1.0438271767
#> 87 2.078725701 -0.2151406125
#> 88 0.859880737 1.2185679247
#> 89 -0.174632134 0.0064213645
#> 90 -0.556028209 -0.7279979069
#> 91 0.836390454 2.5587951599
#> 92 2.112032594 -0.2994411232
#> 93 -0.855306541 2.9015443733
#> 94 1.272552976 2.2097056298
#> 95 0.851566654 3.5318565646
#> 96 -0.543816151 -0.0522620911
#> 97 1.554021911 -2.1974792137
#> 98 -1.015427072 -2.5552382910
#> 99 0.064959786 -0.9700129678
#> 100 0.038966327 3.1886718105
#> 101 -0.406180845 -0.5752904217
#> 102 -1.207414740 1.0225286603
#> 103 0.841536208 2.1592894120
#> 104 -1.179251425 -1.4910855409
#> 105 3.560607971 1.6920119533
#> 106 -0.619800311 0.9662184048
#> 107 -0.759881308 -0.4791575195
#> 108 1.403503275 0.3704235676
#> 109 -0.950742026 -0.8205583383
#> 110 -0.816093653 1.1370231151
#> 111 1.071171822 4.5687028482
#> 112 0.934741436 -0.0970603511
#> 113 -0.112732512 -2.3046333296
#> 114 0.631599303 -0.2942746572
#> 115 -0.980318279 -1.2318208461
#> 116 1.350581175 0.4536316699
#> 117 3.955195376 0.2410367650
#> 118 -0.647120441 -0.7091502304
#> 119 1.265305921 2.9607074168
#> 120 0.695381291 0.4429038326
#> 121 -0.226700199 2.1606242903
#> 122 -1.060467046 -0.3854310710
#> 123 1.479718419 0.1631102086
#> 124 0.198122488 2.0220275234
#> 125 -1.056743801 -1.1204953589
#> 126 -1.565874628 1.7838010444
#> 127 -0.592555583 1.8180954501
#> 128 2.054354651 2.1849154935
#> 129 -1.462408334 0.1429782905
#> 130 0.589538832 -2.4309494474
#> 131 0.235718008 0.5498358712
#> 132 -0.362949855 0.5214398794
#> 133 0.363567132 1.1151262156
#> 134 -0.123076416 -1.1193146857
#> 135 -0.554313225 0.7572073153
#> 136 1.936486097 0.5974009916
#> 137 1.865192863 -1.8061790065
#> 138 -1.668785362 0.5589010130
#> 139 -0.441931233 -1.2324172493
#> 140 -1.502753474 -0.5514919354
#> 141 3.300317396 4.1690875008
#> 142 1.962974247 0.7869260402
#> 143 1.216782849 -1.2342588535
#> 144 -0.317302602 -1.8753761234
#> 145 -1.220046799 0.5086177900
#> 146 0.738799909 1.9224657759
#> 147 -1.720948235 -1.2630610825
#> 148 -1.220255778 -0.2093065091
#> 149 -1.233987757 -1.3174366643
#> 150 2.956605706 0.2335812479
#> 151 0.181441091 -0.4766852032
#> 152 -1.285978430 -3.9544673230
#> 153 0.921734741 0.5463601846
#> 154 1.068274998 -0.6880342607
#> 155 3.498713856 2.2304548969
#> 156 0.664924041 -0.7548260646
#> 157 -0.613067659 2.7659795878
#> 158 0.991800009 0.3783037869
#> 159 -0.371159616 -0.1213707619
#> 160 1.108757839 0.1224992948
#> 161 -0.004132540 0.8646062274
#> 162 1.275760796 0.0895819029
#> 163 0.011458599 1.4920760654
#> 164 -1.534482171 -1.9530292089
#> 165 2.229341237 1.8720755296
#> 166 -0.244385497 0.5707318390
#> 167 0.661490868 -1.6453309535
#> 168 -0.140777828 -0.8655042336
#> 169 -0.254785609 3.3207733234
#> 170 2.051722347 2.5209648907
#> 171 -1.154012238 -0.1459880868
#> 172 -1.088188201 -1.0611063877
#> 173 2.520643251 1.0028342334
#> 174 -2.593187764 0.6702803754
#> 175 1.954549324 -0.1241670003
#> 176 -0.905085449 2.3887703211
#> 177 4.035947195 -0.0548252097
#> 178 1.792776741 1.3153618649
#> 179 0.112449482 1.0482782397
#> 180 2.614617391 0.9147465801
#> 181 0.831517637 0.7180132938
#> 182 0.876785367 0.1425569902
#> 183 -0.585514917 -1.1188520268
#> 184 -0.001471496 1.1461064062
#> 185 1.379868335 1.7995421405
#> 186 -0.509617686 0.3611668399
#> 187 -1.822507125 0.3674910702
#> 188 0.589978189 0.1029461685
#> 189 1.637724091 -0.6017857819
#> 190 1.750144541 -1.2230995461
#> 191 0.190445052 2.7275143557
#> 192 1.744460351 3.4658800712
#> 193 2.096661112 -0.2660094149
#> 194 0.837139157 0.7346593512
#> 195 0.646000806 1.3469082753
#> 196 1.089842760 1.1622250500
#> 197 3.342983216 3.2962628669
#> 198 1.185326334 3.2523910441
#> 199 1.918689825 1.4328249618
#> 200 -0.279190524 1.4173532097
#> 201 -0.113880246 0.4080484536
#> 202 0.519521848 -2.4281974851
#> 203 -0.534968615 -0.1703005636
#> 204 -1.754219951 2.3806962841
#> 205 -0.228748481 0.0009868568
#> 206 0.387677431 1.0739848598
#> 207 2.723210103 1.1676285810
#> 208 -0.831992472 0.5610469082
#> 209 -0.156609560 -0.1292888542
#> 210 2.864458117 -0.1200738006
#> 211 0.088702483 -1.9787559941
#> 212 1.531770453 -0.8981755579
#> 213 2.875465980 5.3351783188
#> 214 2.696552943 0.0558570091
#> 215 0.412488649 0.2257373785
#> 216 2.908781859 -1.9533689318
#> 217 0.877088579 0.7990006094
#> 218 -1.507845805 1.6589026559
#> 219 -0.942488994 -0.2126725011
#> 220 0.193058367 -1.0357201529
#> 221 -1.927105595 0.4361694772
#> 222 -0.985043871 -2.0859810089
#> 223 0.521552156 0.8639872727
#> 224 0.996570030 1.9337931860
#> 225 1.098873008 1.0332024581
#> 226 -0.312479587 2.7436455341
#> 227 -1.339756053 -1.4320169786
#> 228 -0.710249214 0.7170361629
#> 229 -0.831075905 -0.1449991587
#> 230 -0.693093693 -1.3892150909
#> 231 1.283395156 -0.1889499787
#> 232 -0.343473282 2.7279974604
#> 233 -0.262642449 1.7280217373
#> 234 0.575782826 2.5767231323
#> 235 -2.240174230 -1.7953603502
#> 236 0.519857772 1.8484410604
#> 237 -0.881442037 -0.4341428225
#> 238 0.498775852 0.7181657492
#> 239 2.420775342 1.9689190408
#> 240 0.544613785 1.3213890957
#> 241 -1.446464183 -0.7998208880
#> 242 0.290686310 0.7834850284
#> 243 -1.634232464 -0.9901122099
#> 244 -2.856828898 0.4984126384
#> 245 2.309107507 2.1674559550
#> 246 0.929588813 -0.1468496379
#> 247 4.503824113 0.2376585694
#> 248 -0.012782191 -1.8732869666
#> 249 -1.636487496 -1.5704700790
#> 250 -1.127147394 2.7396454742
#> 251 0.617475735 -2.0385326092
#> 252 -1.019447349 0.0955011650
#> 253 0.371110363 1.1030028183
#> 254 2.501883680 1.2123039610
#> 255 0.304876510 0.2335364945
#> 256 -0.001069045 -1.5377455514
#> 257 -0.878952286 -0.2046649841
#> 258 -1.522041959 0.3120602900
#> 259 -1.679104172 3.1072283472
#> 260 -2.057148197 0.2888352518
#> 261 0.639518982 0.9397562832
#> 262 -0.842680357 0.8995954350
#> 263 1.174725303 1.9061191867
#> 264 -1.015721484 -0.2709195157
#> 265 1.374586005 -1.0848556309
#> 266 0.697058266 1.5078138162
#> 267 -1.673651088 0.6684827081
#> 268 0.540468674 1.7773493783
#> 269 1.240603192 0.3735422116
#> 270 1.589726475 1.8265660125
#> 271 0.251183058 0.1866300539
#> 272 1.445181528 0.1569227900
#> 273 0.554638716 0.2848878863
#> 274 1.498937000 2.9250615743
#> 275 1.054449524 -1.3331991288
#> 276 0.703051463 1.3334860256
#> 277 -0.558819493 1.6294163124
#> 278 0.353252885 0.0984031146
#> 279 0.582420737 -1.9189797238
#> 280 -0.551072174 -0.6838464625
#> 281 0.468026136 -0.7230066796
#> 282 2.361159239 -0.0323150846
#> 283 -1.348104131 -1.1720670745
#> 284 4.189318148 2.4998688201
#> 285 -2.203700644 0.4522994392
#> 286 0.553934783 -1.9713304970
#> 287 -0.030666564 3.6340689870
#> 288 -0.235278866 0.5129769752
#> 289 0.022577180 -0.3990028202
#> 290 3.399786248 1.1210826665
#> 291 1.054175621 -0.7467352069
#> 292 0.156715982 -0.8030262334
#> 293 2.619889125 1.3450527857
#> 294 -1.154791517 1.6301769933
#> 295 -1.982095333 -2.0688316492
#> 296 0.242150685 1.8749759004
#> 297 0.260482780 -1.8067336544
#> 298 0.932784376 0.5816247979
#> 299 0.728928367 2.8609378222
#> 300 0.969993026 0.8105091490
#> 301 -1.068033749 0.8858961750
#> 302 -1.649564321 3.3780046632
#> 303 1.568488055 1.6199187483
#> 304 1.164768941 0.7021130032
#> 305 -0.301361565 -0.4035736147
#> 306 1.205676503 4.3757940118
#> 307 -0.594962398 0.0121621075
#> 308 0.411909856 2.3005122197
#> 309 1.968951603 -0.3525852049
#> 310 -0.677504141 0.7001982256
#> 311 -0.844902559 2.0964086174
#> 312 1.272977485 0.0109192717
#> 313 0.255847873 -0.3569538753
#> 314 0.972688019 0.9662849444
#> 315 1.244384263 1.7160953207
#> 316 0.207255836 0.7581195994
#> 317 0.187148511 -1.5069787242
#> 318 -1.276232697 1.8990384884
#> 319 -1.478065145 2.5149635961
#> 320 0.991245224 2.5667784117
#> 321 -0.107834462 1.4158579295
#> 322 0.297871895 0.0166835646
#> 323 0.796613783 -0.6569134728
#> 324 -0.455330855 1.0354878188
#> 325 3.330438506 0.6290698370
#> 326 -1.436491748 2.4855169391
#> 327 0.551912023 -0.3891737607
#> 328 0.267532363 -0.4470061593
#> 329 1.796399491 1.9906959461
#> 330 0.851926866 1.3305306926
#> 331 0.600712162 -0.4248535042
#> 332 1.542343882 -2.4195124456
#> 333 1.987112411 1.7740434980
#> 334 0.328582831 0.7747340986
#> 335 -1.058881423 0.3024753184
#> 336 2.976854615 0.8617550004
#> 337 -2.249089700 -0.3701115421
#> 338 -0.766752441 1.8124701711
#> 339 0.275948440 0.9450214889
#> 340 0.213320322 -0.9182190479
#> 341 0.065270928 1.0034902010
#> 342 -0.633894578 1.0990752034
#> 343 0.467915523 -0.2316822440
#> 344 1.908641365 0.2096649450
#> 345 -0.368459140 -0.4137370178
#> 346 -1.698070061 2.4817479114
#> 347 -0.173929863 0.5605575644
#> 348 4.135007783 0.8272857102
#> 349 0.996223852 -0.8073555845
#> 350 2.098836458 0.2604670549
#> 351 -0.077423116 1.1451152411
#> 352 -0.390948105 1.8999373954
#> 353 -1.075928937 1.1660804721
#> 354 -0.688445085 0.2181530568
#> 355 1.948631635 -0.0183444804
#> 356 0.278930886 -0.6111183304
#> 357 0.909075594 -0.6359605194
#> 358 -1.039499667 0.9987282841
#> 359 0.700825550 2.9105989248
#> 360 0.943415549 -1.2327035918
#> 361 -0.431168899 -0.3452569604
#> 362 0.511725916 0.8627471617
#> 363 0.459600005 -0.0826238733
#> 364 1.099152483 1.1153143060
#> 365 3.321607941 2.1089346261
#> 366 1.230097628 -0.4564808226
#> 367 1.270405478 -0.0442809976
#> 368 -0.787506050 -1.3173715591
#> 369 -0.811599324 -0.4037077517
#> 370 0.853810637 0.5242973298
#> 371 2.281899614 -1.2628995182
#> 372 0.308546262 2.1932995348
#> 373 1.819497971 -0.3115983545
#> 374 1.613161268 1.0463823730
#> 375 3.477256091 1.3454066372
#> 376 -0.852174997 -0.7374846672
#> 377 2.489772196 -0.4251819109
#> 378 -1.389509491 1.1769357091
#> 379 -1.756137712 -0.0445453883
#> 380 -1.015346160 1.9847242693
#> 381 -0.205905740 -1.0842048324
#> 382 3.603472121 4.3634960022
#> 383 0.988731542 -0.5421683298
#> 384 1.164571518 1.1016507682
#> 385 -0.786932558 3.7624432269
#> 386 1.969888925 -0.1160747853
#> 387 1.364418532 0.6356702514
#> 388 -1.845626827 -1.3737577669
#> 389 -0.025907845 0.3281294023
#> 390 1.632214577 0.6898905459
#> 391 0.257253361 0.6246660645
#> 392 -0.134559994 0.5235123073
#> 393 1.447783178 0.3555882905
#> 394 -0.203294286 -2.0329861618
#> 395 0.831857668 2.5700110930
#> 396 3.110214652 0.4863611904
#> 397 -1.432365269 -0.8718233100
#> 398 1.698182241 1.4000630758
#> 399 1.369097875 -0.3239475130
#> 400 0.491259048 0.8172773193
# 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
#> 0.4960 0.5522
#>
getRefit(fittedModel, getObservedResponse(fittedModel))
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> 0.4824 0.6763
#>
# get data frame that was used to fit the model
getData(fittedModel)
#> ID observedResponse Environment1 group time x y
#> 1 1 1.593318381 -0.094804030 1 305 0.0003010468 0.937648607
#> 2 2 1.555582738 -0.262034824 1 197 0.0122288712 0.011072109
#> 3 3 -0.991391608 -0.689558886 1 43 0.1188077475 0.711020672
#> 4 4 1.240258103 -0.600460298 1 192 0.7645157690 0.548710142
#> 5 5 2.134103640 0.946219724 1 302 0.1808461386 0.197592693
#> 6 6 1.662957103 0.873418111 1 304 0.7351283906 0.113482666
#> 7 7 3.572028179 0.832781221 1 219 0.0225099761 0.032023905
#> 8 8 2.545928817 -0.305209300 1 352 0.9820724267 0.978057931
#> 9 9 0.061011610 0.032783238 1 193 0.1484395666 0.872890189
#> 10 10 0.918917355 0.696632388 1 58 0.1082310411 0.568806883
#> 11 11 1.582285061 0.621475911 1 26 0.2321856383 0.637115495
#> 12 12 0.857054581 -0.521816855 1 335 0.3087166818 0.381945221
#> 13 13 3.132139071 -0.616150013 1 13 0.8431045196 0.527677770
#> 14 14 0.779065250 0.562130826 1 107 0.6536184563 0.029251280
#> 15 15 0.661984766 -0.457745961 1 315 0.0227156633 0.667600764
#> 16 16 1.551836958 0.013955140 1 190 0.2984304659 0.153562783
#> 17 17 1.814564129 0.242124063 1 94 0.9380649887 0.158528545
#> 18 18 1.365515800 -0.884320688 1 266 0.4268182432 0.598692283
#> 19 19 3.345880207 0.269980775 1 11 0.4399318506 0.176186168
#> 20 20 -0.034327963 -0.889667342 1 15 0.4779775494 0.042124056
#> 21 21 0.618403469 -0.525022927 1 308 0.2750641829 0.980693821
#> 22 22 2.901355590 0.124320887 1 322 0.8114802507 0.968965347
#> 23 23 -0.176268687 -0.802128555 1 290 0.6723207219 0.666431855
#> 24 24 1.376925313 -0.113586097 1 146 0.7280959990 0.109085695
#> 25 25 0.766619149 -0.817662515 1 373 0.6817034413 0.276165837
#> 26 26 1.517197865 -0.442061468 1 211 0.0969922978 0.536398620
#> 27 27 0.920917346 0.564135990 1 331 0.3688306615 0.840631164
#> 28 28 1.462073397 -0.701871881 1 39 0.8213814339 0.022447607
#> 29 29 1.450019403 0.315282815 1 133 0.8410424979 0.492694353
#> 30 30 1.241640649 0.395340086 1 151 0.1953705624 0.916755776
#> 31 31 1.863663408 -0.216566123 1 265 0.5347973478 0.640704199
#> 32 32 0.007911129 -0.105002913 1 372 0.9796088208 0.337604183
#> 33 33 1.284109612 0.886274483 1 46 0.7653805478 0.648527084
#> 34 34 -1.206873510 -0.892523040 1 62 0.9873134124 0.632382013
#> 35 35 -0.079621769 -0.824977869 1 328 0.0969348701 0.750132593
#> 36 36 -0.471619856 -0.571582112 1 273 0.1606281474 0.015626122
#> 37 37 1.935309020 -0.428435167 1 243 0.3445095145 0.605785558
#> 38 38 1.406363303 -0.926550524 1 301 0.6906540419 0.715697095
#> 39 39 1.882758236 0.156723223 1 14 0.5901263047 0.487001640
#> 40 40 0.371307739 -0.236926672 1 44 0.9522752329 0.476073905
#> 41 41 1.775100732 0.594134134 2 49 0.9014053249 0.249923406
#> 42 42 2.467870397 -0.959229489 2 220 0.1089213090 0.049572506
#> 43 43 2.151587558 -0.234506628 2 332 0.1484782894 0.978613125
#> 44 44 -0.781068887 -0.326999112 2 186 0.4933220290 0.558132240
#> 45 45 2.082440982 0.935831395 2 194 0.7616148784 0.178471869
#> 46 46 2.804721138 0.082594322 2 10 0.9512367782 0.651631367
#> 47 47 -0.174689999 0.701651444 2 35 0.0876213193 0.662660150
#> 48 48 2.190132505 -0.146802347 2 312 0.0423007302 0.912468534
#> 49 49 3.121628446 0.826695924 2 158 0.9409072034 0.630146123
#> 50 50 3.185362357 -0.546656092 2 384 0.4733548744 0.123336673
#> 51 51 2.928567275 0.254732697 2 294 0.4042314859 0.231229852
#> 52 52 1.824434766 -0.166076329 2 141 0.4292215167 0.116710896
#> 53 53 2.924046921 0.615726944 2 379 0.1693067036 0.810196604
#> 54 54 0.726137500 -0.342636573 2 209 0.4432770743 0.554979305
#> 55 55 0.775622276 -0.506359019 2 165 0.3055311546 0.387806141
#> 56 56 0.975613866 -0.033521731 2 317 0.0013530548 0.905532269
#> 57 57 1.286732100 0.004070938 2 156 0.0261923980 0.251820098
#> 58 58 2.371444421 0.757145301 2 145 0.1743217814 0.017922884
#> 59 59 2.682297657 0.291153331 2 249 0.1329753804 0.055740220
#> 60 60 3.481833895 0.576340524 2 139 0.2788245720 0.632001267
#> 61 61 2.937028589 0.364388128 2 257 0.8202731633 0.978816027
#> 62 62 1.384454841 -0.158025209 2 66 0.5537154451 0.005422092
#> 63 63 3.008970256 0.898377902 2 385 0.4229947885 0.467853812
#> 64 64 3.079496308 0.192935808 2 73 0.3272083045 0.311714466
#> 65 65 2.648300588 0.199479270 2 399 0.6493350321 0.395632406
#> 66 66 1.960226865 -0.124284335 2 234 0.9563872430 0.221082872
#> 67 67 1.541382823 -0.069454731 2 255 0.7411882658 0.927154577
#> 68 68 2.244514795 0.277771354 2 109 0.2998225011 0.761625479
#> 69 69 2.963964660 -0.269238787 2 376 0.8709354068 0.676659437
#> 70 70 1.732842060 -0.794705201 2 286 0.7978252347 0.607919999
#> 71 71 0.876977094 0.838135499 2 287 0.5212716393 0.394780079
#> 72 72 2.839837470 -0.362903957 2 307 0.8978615575 0.433615398
#> 73 73 1.163766437 -0.413407728 2 19 0.0671200054 0.805592260
#> 74 74 1.865729178 -0.481562902 2 140 0.1146102359 0.795475228
#> 75 75 1.801820757 -0.736586996 2 366 0.8413990142 0.980660732
#> 76 76 1.117170611 0.090714944 2 7 0.9759511086 0.656918096
#> 77 77 0.170867158 0.208733939 2 64 0.6720745405 0.955955584
#> 78 78 1.472799224 0.902884391 2 117 0.4186597469 0.284403258
#> 79 79 2.450974214 -0.492829227 2 128 0.2855370669 0.385749626
#> 80 80 0.855190946 -0.048880560 2 150 0.8043371351 0.597041355
#> 81 81 -0.729514108 -0.108836722 3 54 0.9284244464 0.695057661
#> 82 82 -0.709737023 0.800469901 3 171 0.5375264788 0.500891185
#> 83 83 -0.617906124 0.257883308 3 6 0.9420565499 0.662356632
#> 84 84 -0.732481103 -0.277597943 3 125 0.9159743013 0.467835173
#> 85 85 0.292555482 0.663045195 3 303 0.4906291228 0.819102270
#> 86 86 -0.652578026 0.854348603 3 262 0.3832245453 0.630920873
#> 87 87 -0.406810391 0.012508506 3 68 0.6701808539 0.727696288
#> 88 88 -0.615278812 0.097774385 3 91 0.1673404581 0.995204399
#> 89 89 0.439491387 0.178365531 3 176 0.7800907702 0.366129771
#> 90 90 0.978716262 0.031232838 3 353 0.7488280763 0.856198284
#> 91 91 1.177011744 0.681022701 3 254 0.6446117365 0.530440377
#> 92 92 -0.970510493 -0.366078557 3 84 0.8555616224 0.154656744
#> 93 93 -2.182198951 0.136033375 3 345 0.0577223399 0.056988854
#> 94 94 0.546960883 0.297600619 3 375 0.6997843799 0.742857868
#> 95 95 -0.729869259 -0.091190765 3 102 0.1315692649 0.519611763
#> 96 96 0.308177147 -0.883445323 3 338 0.2985805008 0.568015004
#> 97 97 1.122974813 0.811904571 3 47 0.8724698792 0.433950888
#> 98 98 -0.398074643 -0.288005690 3 199 0.2831985494 0.100670901
#> 99 99 -0.636960226 -0.609847812 3 164 0.7828361329 0.111875886
#> 100 100 0.480050339 0.391013077 3 359 0.5158166904 0.082834128
#> 101 101 0.075419309 0.105885661 3 1 0.3571290467 0.316012630
#> 102 102 -0.541054461 -0.267834026 3 247 0.4394029304 0.491827210
#> 103 103 -2.622329981 -0.168740559 3 98 0.0511496994 0.087607607
#> 104 104 0.975990811 -0.643638254 3 285 0.7446352306 0.320518596
#> 105 105 -0.702722936 0.557736592 3 394 0.6603744810 0.632738709
#> 106 106 1.555815285 0.853419563 3 293 0.3647870747 0.523942773
#> 107 107 0.590948227 0.852060586 3 159 0.5775986409 0.654494574
#> 108 108 0.173906195 0.261342134 3 72 0.4735187225 0.487124703
#> 109 109 -1.201964045 -0.501731398 3 258 0.6204636146 0.093100796
#> 110 110 0.784803438 0.024823273 3 387 0.2273138769 0.881293717
#> 111 111 1.697881265 0.168577421 3 390 0.9272275819 0.652233609
#> 112 112 -2.549120305 -0.764816300 3 21 0.1067092887 0.007650028
#> 113 113 0.238991029 -0.391289458 3 272 0.2339141632 0.005886299
#> 114 114 1.188003714 0.904896842 3 183 0.3436156756 0.113250780
#> 115 115 -1.813351424 -0.844182439 3 185 0.0253212932 0.398638218
#> 116 116 0.447512102 0.747760756 3 87 0.2287571724 0.862829075
#> 117 117 -0.891296161 0.793027183 3 309 0.0616533638 0.005604989
#> 118 118 -0.177802732 -0.423475324 3 250 0.1454790873 0.106833383
#> 119 119 0.675584939 0.706994773 3 299 0.3489085285 0.414356246
#> 120 120 2.272905631 0.519028512 3 167 0.8992066975 0.509593524
#> 121 121 0.089265637 0.325810886 4 113 0.6200591582 0.394736135
#> 122 122 -1.546004360 -0.494494004 4 283 0.7775757713 0.296651324
#> 123 123 0.826333995 -0.050367438 4 361 0.5537635889 0.214479075
#> 124 124 -0.463650681 -0.119941727 4 214 0.0190764156 0.567239778
#> 125 125 -0.586121787 0.501931661 4 252 0.4131869420 0.310825046
#> 126 126 -1.172384449 -0.606441945 4 28 0.3594320412 0.959115227
#> 127 127 2.045207999 0.910495453 4 380 0.8211738633 0.460059954
#> 128 128 -0.403965571 0.425575266 4 33 0.8985274809 0.909130046
#> 129 129 -0.649397248 -0.904148322 4 393 0.9489401111 0.015902305
#> 130 130 1.668520757 0.457690602 4 346 0.6317703146 0.156013079
#> 131 131 -1.028348697 0.277159534 4 270 0.1958765341 0.364079806
#> 132 132 -1.053429030 -0.444666203 4 216 0.8363470454 0.840119695
#> 133 133 -0.505882599 0.066038684 4 260 0.6559641631 0.434960996
#> 134 134 1.730415220 0.831984858 4 320 0.7226516502 0.523657881
#> 135 135 -0.728479223 -0.087572928 4 244 0.3099897474 0.142546215
#> 136 136 0.143490610 0.285956148 4 363 0.2504671991 0.264362028
#> 137 137 -1.520510659 0.628129679 4 259 0.4340448731 0.196511334
#> 138 138 0.045831266 -0.312644291 4 170 0.6614518994 0.072123707
#> 139 139 -1.179842884 -0.813835524 4 267 0.5086454751 0.467685351
#> 140 140 -0.823074864 -0.474972202 4 154 0.9514740091 0.255294860
#> 141 141 -0.093724123 0.875240627 4 276 0.9389611590 0.315069359
#> 142 142 0.015120884 0.514199315 4 34 0.5022171908 0.351595948
#> 143 143 0.922739497 0.739483659 4 135 0.0549092018 0.312264829
#> 144 144 -0.093743834 -0.993212056 4 143 0.2498073138 0.949831713
#> 145 145 -1.573198723 -0.531908630 4 370 0.3117711225 0.126828345
#> 146 146 -1.379723986 -0.988268970 4 340 0.2670475871 0.182952526
#> 147 147 -0.302028810 0.050806366 4 122 0.5610630170 0.687041183
#> 148 148 0.778310643 0.663956409 4 263 0.3234517530 0.923105921
#> 149 149 -1.717205286 -0.778301554 4 281 0.1585394659 0.965562987
#> 150 150 -1.197524046 0.219892683 4 89 0.0641644241 0.927394323
#> 151 151 -1.202481786 -0.140796923 4 222 0.9866988764 0.835543251
#> 152 152 -0.205281215 -0.677667886 4 223 0.1203190964 0.893752095
#> 153 153 0.038798300 0.159020270 4 82 0.6006883513 0.187876825
#> 154 154 1.502300808 0.335209859 4 336 0.2101422881 0.771462152
#> 155 155 1.175176872 0.863880113 4 354 0.1273848629 0.604190131
#> 156 156 -1.704425044 -0.522476679 4 67 0.2446029549 0.076891724
#> 157 157 0.117634085 -0.082355489 4 240 0.4780038332 0.523672574
#> 158 158 -0.342171809 -0.441098469 4 383 0.4998325992 0.387532219
#> 159 159 -0.913463648 -0.098816303 4 111 0.5599147850 0.899256279
#> 160 160 0.433722975 -0.312189058 4 311 0.5503051723 0.076027749
#> 161 161 -1.926703455 -0.847554313 5 201 0.3898731926 0.686896320
#> 162 162 -0.286769443 0.411659813 5 80 0.8937307843 0.944013552
#> 163 163 -1.691975805 0.665746616 5 112 0.7964448668 0.700595227
#> 164 164 -0.410442265 -0.879971107 5 160 0.3222130393 0.795877996
#> 165 165 -0.345221485 0.986965988 5 56 0.3109424161 0.895004118
#> 166 166 -1.585466105 -0.470919745 5 339 0.9630615509 0.841459505
#> 167 167 -1.334798761 -0.990996127 5 397 0.2715212023 0.606608543
#> 168 168 0.128141141 0.776144123 5 207 0.1941952293 0.205030079
#> 169 169 -3.608869773 0.289779367 5 298 0.2300193924 0.836636656
#> 170 170 -0.140736470 0.996652750 5 314 0.8657773624 0.483008228
#> 171 171 -0.364267347 0.167207510 5 203 0.3493328150 0.810082779
#> 172 172 -0.736464313 -0.853229978 5 166 0.7803288908 0.824986724
#> 173 173 -0.175823749 -0.306904268 5 177 0.2481672673 0.865220610
#> 174 174 -3.394123255 -0.948055846 5 212 0.7457172354 0.131701841
#> 175 175 -1.833772277 0.307983248 5 371 0.0618180200 0.911970500
#> 176 176 -0.452781916 -0.151621068 5 142 0.6925423802 0.998613240
#> 177 177 -0.367688354 0.880734129 5 63 0.9647763348 0.387013990
#> 178 178 -1.754451029 0.834466596 5 103 0.3664891999 0.566579348
#> 179 179 -0.642721690 -0.032605528 5 256 0.7934978157 0.415456994
#> 180 180 0.379659289 0.691973337 5 291 0.8466004434 0.714279741
#> 181 181 -0.277565757 0.552008081 5 386 0.2177523107 0.535220986
#> 182 182 -1.124047368 -0.055490816 5 300 0.8803640814 0.078921651
#> 183 183 -0.652561178 0.178363401 5 337 0.1578641762 0.665447012
#> 184 184 0.414000714 0.515395897 5 357 0.4660624787 0.554684603
#> 185 185 -1.393468037 0.162511045 5 205 0.5306192648 0.747560558
#> 186 186 -1.695787435 -0.909604147 5 238 0.0135876003 0.940658120
#> 187 187 -0.905835620 0.038723650 5 45 0.2748686746 0.194448365
#> 188 188 -0.483500792 0.256484208 5 123 0.0691909802 0.849620328
#> 189 189 -3.248994839 -0.586601515 5 69 0.9674468196 0.788791252
#> 190 190 -0.285498394 -0.493001461 5 235 0.0887214588 0.385095481
#> 191 191 -0.296012020 0.225727933 5 271 0.7642079794 0.173000079
#> 192 192 0.408896577 0.936159786 5 70 0.2025211265 0.936315803
#> 193 193 1.347187722 0.486428977 5 115 0.2085382792 0.961805266
#> 194 194 -1.253022390 0.409429920 5 221 0.3603641805 0.856702446
#> 195 195 -1.108613840 -0.177930896 5 59 0.2860134922 0.232458923
#> 196 196 1.767697797 -0.142746969 5 101 0.3173731498 0.319866854
#> 197 197 1.898330587 0.886727487 5 144 0.5858243585 0.089395494
#> 198 198 0.791189568 0.747306009 5 264 0.0592399579 0.384997578
#> 199 199 -2.239149727 -0.441801548 5 242 0.8368827088 0.893632190
#> 200 200 0.791677349 0.622736163 5 81 0.7030672284 0.793481267
#> 201 201 0.026264649 -0.852973728 6 213 0.7550427620 0.031752152
#> 202 202 1.271399228 -0.397587592 6 355 0.7066102941 0.910675357
#> 203 203 1.852515001 -0.666832776 6 155 0.8689466426 0.307037051
#> 204 204 3.600926714 0.762399491 6 9 0.7992513080 0.124239962
#> 205 205 0.553438042 -0.691291319 6 172 0.0711221471 0.997261456
#> 206 206 2.799803154 0.857579861 6 196 0.1160441034 0.315779392
#> 207 207 2.701140488 0.359566020 6 130 0.0676024880 0.857802326
#> 208 208 1.289101022 0.002536734 6 268 0.9923157045 0.977959636
#> 209 209 2.232230545 -0.136044098 6 180 0.9507047811 0.903774089
#> 210 210 0.298081035 -0.502932211 6 204 0.9617167162 0.784848133
#> 211 211 0.429785881 -0.051968551 6 65 0.9547269524 0.943208869
#> 212 212 0.788913594 -0.759252238 6 55 0.5635199901 0.417519802
#> 213 213 1.249111659 0.842126471 6 198 0.5493733683 0.845427373
#> 214 214 1.029792161 -0.753943374 6 347 0.5330189527 0.003697704
#> 215 215 0.492115729 -0.185996172 6 182 0.6611379785 0.323409508
#> 216 216 1.149734092 -0.212850247 6 121 0.7096636328 0.333679756
#> 217 217 0.993539492 -0.681016719 6 396 0.5948002420 0.444351515
#> 218 218 -0.441975629 -0.407319538 6 104 0.9026041231 0.060493786
#> 219 219 -1.127944711 -0.944903565 6 53 0.6090707181 0.689577663
#> 220 220 1.570804633 -0.519768809 6 118 0.6275747400 0.666901759
#> 221 221 1.461170978 0.540709662 6 362 0.4013029146 0.763664425
#> 222 222 1.667082224 -0.477089939 6 25 0.1015389191 0.232239197
#> 223 223 1.548993813 0.521385904 6 114 0.2729909099 0.625916956
#> 224 224 1.060559179 0.798934545 6 344 0.8399532482 0.095050470
#> 225 225 2.263310304 0.196163273 6 253 0.5397474449 0.111614573
#> 226 226 -0.675174524 -0.383440450 6 208 0.1230499444 0.132564323
#> 227 227 0.846502109 -0.848082376 6 3 0.4073467713 0.425101105
#> 228 228 -0.013375299 0.567617571 6 245 0.3736455964 0.041078169
#> 229 229 1.465823311 0.868712719 6 348 0.9991379636 0.626753489
#> 230 230 -0.380677690 -0.625748521 6 42 0.9415743728 0.162525828
#> 231 231 0.316643273 -0.285503154 6 119 0.2500213240 0.169730405
#> 232 232 1.232031170 -0.700114460 6 369 0.4496172224 0.941556362
#> 233 233 3.224567414 0.597652055 6 31 0.0459088637 0.004151883
#> 234 234 0.235722558 0.255362269 6 51 0.8418192060 0.962496386
#> 235 235 1.581045049 -0.653718151 6 381 0.7489606219 0.174214829
#> 236 236 -0.175807310 0.836158087 6 36 0.1504632973 0.958586863
#> 237 237 -0.216425465 -0.813178257 6 248 0.8140952589 0.628554986
#> 238 238 1.482605537 0.581462944 6 218 0.4301352298 0.106166583
#> 239 239 2.502901814 0.276664967 6 78 0.1988721178 0.597998573
#> 240 240 0.898147245 -0.943077292 6 138 0.4407246017 0.073098358
#> 241 241 1.269050267 -0.889748558 7 342 0.4667454250 0.342774640
#> 242 242 0.720372384 -0.644220090 7 134 0.4476128737 0.807127933
#> 243 243 0.279757972 -0.543244811 7 191 0.9834137731 0.249487016
#> 244 244 -1.133749559 -0.205181255 7 282 0.2224225334 0.193922815
#> 245 245 0.176098182 0.692607434 7 126 0.1619094093 0.340416573
#> 246 246 0.820215318 0.735731900 7 131 0.9545795878 0.399950580
#> 247 247 0.344857623 -0.515592101 7 388 0.9518408265 0.722455028
#> 248 248 0.710147680 -0.531718451 7 284 0.0252180309 0.334153479
#> 249 249 -1.103420442 -0.591846354 7 377 0.0810079733 0.568737925
#> 250 250 -0.009161830 0.665902324 7 79 0.8069422704 0.635961635
#> 251 251 -0.256048859 -0.727470493 7 325 0.0789835439 0.194376011
#> 252 252 0.794593244 0.266366028 7 195 0.8764853722 0.725505001
#> 253 253 0.875812582 -0.222434245 7 398 0.5943579453 0.407338135
#> 254 254 -0.720273346 0.353557906 7 90 0.5748991314 0.001900337
#> 255 255 -1.104902760 -0.812524232 7 93 0.9039600901 0.601518838
#> 256 256 0.084776348 -0.094656508 7 316 0.8904067206 0.401949686
#> 257 257 -2.710014005 -0.828638530 7 206 0.5317709751 0.615011930
#> 258 258 0.024513285 -0.351203572 7 392 0.0717114359 0.147673099
#> 259 259 -1.718853410 -0.930328364 7 217 0.5212006872 0.037551078
#> 260 260 -2.153730816 -0.789966536 7 120 0.9367076501 0.714046851
#> 261 261 -0.621365018 -0.311140134 7 321 0.6195480870 0.172403979
#> 262 262 1.078514186 0.105767332 7 75 0.0671541889 0.462104799
#> 263 263 0.800236469 0.800488292 7 275 0.1419019955 0.006977527
#> 264 264 -1.364182892 -0.453494349 7 22 0.3843277271 0.651196879
#> 265 265 0.641425213 0.669526713 7 364 0.3282883880 0.177364469
#> 266 266 1.743868208 0.668450205 7 274 0.1946393361 0.363772183
#> 267 267 2.601953035 -0.049997119 7 137 0.0701646809 0.553168890
#> 268 268 -0.097622052 -0.504995585 7 100 0.3799937733 0.536023839
#> 269 269 0.014990150 -0.313143384 7 297 0.2387075787 0.070284232
#> 270 270 2.083916504 0.979631958 7 225 0.2856537595 0.747776573
#> 271 271 -0.364268060 0.858572476 7 374 0.1855103155 0.946016682
#> 272 272 2.550843603 -0.141955665 7 168 0.9250356103 0.284507253
#> 273 273 0.437027741 0.732093737 7 179 0.8522808901 0.881169525
#> 274 274 0.669794624 0.774329088 7 227 0.1070610534 0.136652333
#> 275 275 -0.033116444 0.388729794 7 202 0.3210009732 0.777261366
#> 276 276 -0.168087384 -0.548660742 7 29 0.3545312579 0.817015825
#> 277 277 1.403049376 0.920796569 7 251 0.4848482893 0.608869947
#> 278 278 0.210303566 -0.271446245 7 161 0.3180710683 0.470828358
#> 279 279 0.694640573 -0.814367522 7 228 0.2332469737 0.538675837
#> 280 280 -0.346923558 -0.683663095 7 163 0.9710653911 0.693581375
#> 281 281 1.429745368 -0.921180871 8 77 0.2885753831 0.414341907
#> 282 282 1.953856922 0.876919445 8 233 0.4361834505 0.233933351
#> 283 283 1.206731389 -0.685291621 8 333 0.9333770648 0.314543754
#> 284 284 1.857608391 0.319641495 8 40 0.7251255927 0.351944597
#> 285 285 2.996146894 -0.758216110 8 288 0.2728797456 0.936759464
#> 286 286 0.854724914 0.350263155 8 360 0.0334579027 0.798327240
#> 287 287 2.605002316 0.772013572 8 99 0.8859381741 0.320130364
#> 288 288 2.870147535 -0.217985240 8 38 0.2312467908 0.224845166
#> 289 289 2.381500290 0.099120078 8 330 0.0858119412 0.773182944
#> 290 290 1.019432982 0.755379287 8 367 0.7476708118 0.015728647
#> 291 291 2.325005639 0.123156522 8 17 0.0654535254 0.552847969
#> 292 292 0.411692379 -0.688886481 8 329 0.8314427878 0.944187121
#> 293 293 1.701983830 0.986624401 8 395 0.6027049769 0.934062799
#> 294 294 3.773109498 0.141926474 8 358 0.8500387745 0.011907642
#> 295 295 1.561157211 -0.826338490 8 116 0.5342085364 0.720761100
#> 296 296 0.209610383 -0.439546620 8 310 0.2913316099 0.646422094
#> 297 297 3.704004634 0.113565446 8 124 0.1347787241 0.017252259
#> 298 298 2.163975389 0.261584873 8 224 0.2127283758 0.426685424
#> 299 299 2.982954899 0.525683630 8 129 0.1254097268 0.217305954
#> 300 300 2.557081395 0.624794474 8 86 0.5543960154 0.999222036
#> 301 301 1.145098413 -0.705831289 8 162 0.8965491944 0.659261185
#> 302 302 2.712350035 -0.661209508 8 239 0.4943703916 0.159919929
#> 303 303 -1.122048829 -0.321137344 8 83 0.5418946163 0.247841658
#> 304 304 2.260659488 0.862417154 8 97 0.1742002384 0.491894902
#> 305 305 0.431761492 -0.349793244 8 110 0.2843877552 0.143421793
#> 306 306 1.605619086 0.366884300 8 231 0.7056006712 0.399273232
#> 307 307 1.855284224 -0.333728283 8 175 0.3420397991 0.389177191
#> 308 308 2.067623040 0.187998475 8 210 0.7932113686 0.919737947
#> 309 309 2.580834655 -0.107318595 8 169 0.9509393175 0.476210121
#> 310 310 0.952631119 -0.766289394 8 326 0.9628787283 0.906818907
#> 311 311 -0.168928936 -0.717942629 8 88 0.0830615829 0.167965448
#> 312 312 1.804488498 -0.169944124 8 20 0.5044313662 0.425897002
#> 313 313 0.439893969 -0.123782905 8 76 0.3737247842 0.783797430
#> 314 314 2.593401100 0.809356350 8 400 0.8610663554 0.421880669
#> 315 315 2.016734822 0.163793042 8 334 0.2770704105 0.003532504
#> 316 316 1.467339847 -0.515298720 8 105 0.0259539746 0.119420814
#> 317 317 0.954517899 -0.792324612 8 324 0.5720209195 0.632495120
#> 318 318 2.613289075 0.055628178 8 269 0.7900637174 0.113342388
#> 319 319 -1.352385479 -0.759554373 8 96 0.7329100764 0.174357181
#> 320 320 2.291783642 0.979768626 8 178 0.8828661749 0.240993663
#> 321 321 0.496897561 -0.693245716 9 24 0.2138678373 0.140204536
#> 322 322 -2.135807646 -0.499335608 9 74 0.5085204272 0.991020537
#> 323 323 1.223297645 0.853706774 9 241 0.9730818539 0.255992374
#> 324 324 0.733721538 -0.128490515 9 5 0.2640102149 0.745962354
#> 325 325 0.113397971 0.863425591 9 292 0.6565911816 0.776194548
#> 326 326 0.919000484 0.515801413 9 230 0.5059330175 0.201295379
#> 327 327 0.464035259 -0.014190197 9 341 0.5199977276 0.164443955
#> 328 328 -1.141167990 -0.003892237 9 61 0.7802395497 0.745979139
#> 329 329 0.430723437 0.940398681 9 181 0.0617313597 0.923125928
#> 330 330 1.875459244 0.574695435 9 365 0.9547268199 0.733749375
#> 331 331 0.345185945 -0.897709885 9 279 0.4419317588 0.133015418
#> 332 332 -1.868133181 -0.449830830 9 95 0.9713941566 0.792969857
#> 333 333 2.343453440 0.736068317 9 174 0.6190414105 0.516975644
#> 334 334 -1.678744022 0.026652820 9 173 0.7243201821 0.116448379
#> 335 335 1.217427294 -0.172908518 9 278 0.8104783841 0.802922074
#> 336 336 0.245843421 0.664636360 9 152 0.9721982621 0.131504891
#> 337 337 0.219793094 -0.278264333 9 27 0.4717212990 0.882240405
#> 338 338 -1.069939566 0.071460931 9 60 0.3114675195 0.991316142
#> 339 339 0.684148939 -0.243277512 9 48 0.7670201145 0.162879787
#> 340 340 0.360448489 -0.046040412 9 147 0.8245822864 0.066660542
#> 341 341 -0.692342478 -0.545739392 9 92 0.4435138230 0.353084255
#> 342 342 0.683320273 0.209518722 9 106 0.9336547293 0.624444453
#> 343 343 -0.136034474 0.893834726 9 184 0.3347238589 0.582629892
#> 344 344 0.292571599 0.565378524 9 378 0.1476358827 0.199600346
#> 345 345 0.994416325 -0.714182609 9 149 0.3202128084 0.916389283
#> 346 346 -1.594407807 -0.778326934 9 4 0.6923392592 0.078081793
#> 347 347 0.349316494 -0.089260514 9 229 0.0447251184 0.599983404
#> 348 348 1.094737647 0.770974791 9 296 0.8862825520 0.368135056
#> 349 349 0.352991850 0.092066545 9 343 0.3117220667 0.067137335
#> 350 350 -0.821459705 0.528522626 9 280 0.9886663577 0.206122095
#> 351 351 -1.134796352 -0.190590730 9 71 0.3949530281 0.033473340
#> 352 352 0.410368647 0.764775986 9 391 0.2873069986 0.066368875
#> 353 353 -2.051910228 0.079919123 9 108 0.5512715953 0.188139156
#> 354 354 2.045642694 -0.643343082 9 237 0.0743303341 0.472644450
#> 355 355 -0.908474824 -0.203505774 9 232 0.7624966116 0.714587045
#> 356 356 -1.506462314 -0.985552236 9 85 0.5760189428 0.924314574
#> 357 357 1.429801951 0.893881978 9 295 0.1144260890 0.438563971
#> 358 358 -0.579968850 0.389087056 9 356 0.4465967647 0.662191583
#> 359 359 -0.341188691 0.350271002 9 327 0.5494573901 0.274913022
#> 360 360 -0.813157763 -0.118445866 9 350 0.2359043935 0.290753796
#> 361 361 0.224921768 0.885458809 10 200 0.7878219550 0.966802648
#> 362 362 0.017603383 0.943085873 10 50 0.8148292673 0.645998443
#> 363 363 -0.232063534 0.503056329 10 23 0.8893211212 0.655548024
#> 364 364 -1.729190303 -0.599165573 10 57 0.1242598502 0.989511775
#> 365 365 -0.389506239 0.010564285 10 236 0.4225608634 0.730268649
#> 366 366 1.534021532 -0.842159402 10 368 0.3314486202 0.033486538
#> 367 367 -1.295449973 -0.797721165 10 226 0.9420638548 0.202277032
#> 368 368 -1.118016293 -0.920753354 10 215 0.1060896986 0.977086816
#> 369 369 -0.773913419 -0.324674874 10 319 0.0855660250 0.396159142
#> 370 370 -0.162789377 -0.512975052 10 189 0.2107906193 0.008689645
#> 371 371 -0.803201100 0.648860025 10 37 0.8179366181 0.184228837
#> 372 372 1.045815620 0.257313014 10 382 0.2457066136 0.086413750
#> 373 373 0.357015250 -0.125335270 10 2 0.0609548183 0.251855960
#> 374 374 0.156716713 0.756404528 10 313 0.2826125228 0.337682500
#> 375 375 -0.843715006 -0.532626373 10 306 0.7201983617 0.649722534
#> 376 376 -0.804655500 -0.880252379 10 153 0.2543584295 0.130804969
#> 377 377 -0.586904542 -0.369294219 10 187 0.7514857571 0.254199460
#> 378 378 -0.414560784 -0.527057925 10 351 0.5594183467 0.271416041
#> 379 379 0.978463256 -0.135707291 10 318 0.0077568756 0.468144603
#> 380 380 -0.107387575 -0.415610060 10 289 0.5555264612 0.143215579
#> 381 381 1.689865408 0.751428314 10 277 0.5811480586 0.259411955
#> 382 382 -1.768889847 0.921265163 10 41 0.3512657085 0.684901353
#> 383 383 -0.761261849 0.515847403 10 18 0.2678705105 0.836118664
#> 384 384 -0.615079045 0.697836978 10 246 0.8525524421 0.422319516
#> 385 385 0.938968061 0.438778779 10 188 0.9734558379 0.361009154
#> 386 386 -0.151873774 0.073227862 10 157 0.2487508391 0.154270065
#> 387 387 1.532113382 0.482445935 10 132 0.4450737699 0.983892171
#> 388 388 1.588213699 0.421785960 10 32 0.3201097997 0.677168620
#> 389 389 -1.087249927 -0.711721175 10 148 0.9406176992 0.297688955
#> 390 390 -1.184533119 -0.518535716 10 16 0.2162883445 0.606387031
#> 391 391 -0.342397203 -0.071269239 10 30 0.7544908097 0.855473845
#> 392 392 -1.146074803 -0.959374946 10 52 0.4674780171 0.597470271
#> 393 393 -0.532597010 0.168904222 10 12 0.8517022927 0.125915716
#> 394 394 -1.495071448 -0.944182015 10 8 0.4847698435 0.213200694
#> 395 395 -0.766089752 0.056566868 10 323 0.0584003329 0.196494652
#> 396 396 -0.987983692 0.212125913 10 136 0.2408640259 0.667112442
#> 397 397 0.942207680 0.133333859 10 261 0.2754495835 0.988952067
#> 398 398 0.403515194 -0.137472196 10 389 0.3374066728 0.515527364
#> 399 399 0.651535038 0.736195521 10 349 0.1015373673 0.136796288
#> 400 400 -1.174685519 -0.433144459 10 127 0.0494384461 0.830698005
#> expectedMean
#> 1 1.180854134
#> 2 1.013623341
#> 3 0.586099279
#> 4 0.675197867
#> 5 2.221877889
#> 6 2.149076276
#> 7 2.108439386
#> 8 0.970448865
#> 9 1.308441402
#> 10 1.972290553
#> 11 1.897134075
#> 12 0.753841309
#> 13 0.659508151
#> 14 1.837788991
#> 15 0.817912204
#> 16 1.289613305
#> 17 1.517782228
#> 18 0.391337476
#> 19 1.545638939
#> 20 0.385990822
#> 21 0.750635237
#> 22 1.399979051
#> 23 0.473529610
#> 24 1.162072067
#> 25 0.457995649
#> 26 0.833596697
#> 27 1.839794155
#> 28 0.573786283
#> 29 1.590940980
#> 30 1.670998251
#> 31 1.059092042
#> 32 1.170655252
#> 33 2.161932647
#> 34 0.383135125
#> 35 0.450680296
#> 36 0.704076053
#> 37 0.847222998
#> 38 0.349107641
#> 39 1.432381387
#> 40 1.038731493
#> 41 2.280471542
#> 42 0.727107919
#> 43 1.451830780
#> 44 1.359338297
#> 45 2.622168803
#> 46 1.768931730
#> 47 2.387988852
#> 48 1.539535061
#> 49 2.513033332
#> 50 1.139681316
#> 51 1.941070105
#> 52 1.520261080
#> 53 2.302064352
#> 54 1.343700836
#> 55 1.179978389
#> 56 1.652815677
#> 57 1.690408346
#> 58 2.443482710
#> 59 1.977490739
#> 60 2.262677932
#> 61 2.050725537
#> 62 1.528312199
#> 63 2.584715310
#> 64 1.879273216
#> 65 1.885816679
#> 66 1.562053073
#> 67 1.616882677
#> 68 1.964108762
#> 69 1.417098621
#> 70 0.891632207
#> 71 2.524472907
#> 72 1.323433452
#> 73 1.272929680
#> 74 1.204774507
#> 75 0.949750412
#> 76 1.777052352
#> 77 1.895071347
#> 78 2.589221799
#> 79 1.193508181
#> 80 1.637456848
#> 81 -0.128996339
#> 82 0.780310284
#> 83 0.237723691
#> 84 -0.297757560
#> 85 0.642885578
#> 86 0.834188986
#> 87 -0.007651111
#> 88 0.077614768
#> 89 0.158205914
#> 90 0.011073221
#> 91 0.660863084
#> 92 -0.386238174
#> 93 0.115873758
#> 94 0.277441002
#> 95 -0.111350382
#> 96 -0.903604940
#> 97 0.791744954
#> 98 -0.308165307
#> 99 -0.630007429
#> 100 0.370853460
#> 101 0.085726044
#> 102 -0.287993643
#> 103 -0.188900176
#> 104 -0.663797871
#> 105 0.537576975
#> 106 0.833259946
#> 107 0.831900969
#> 108 0.241182517
#> 109 -0.521891015
#> 110 0.004663656
#> 111 0.148417804
#> 112 -0.784975917
#> 113 -0.411449075
#> 114 0.884737225
#> 115 -0.864342056
#> 116 0.727601139
#> 117 0.772867566
#> 118 -0.443634941
#> 119 0.686835156
#> 120 0.498868895
#> 121 0.099481975
#> 122 -0.720822915
#> 123 -0.276696349
#> 124 -0.346270638
#> 125 0.275602750
#> 126 -0.832770856
#> 127 0.684166542
#> 128 0.199246355
#> 129 -1.130477233
#> 130 0.231361691
#> 131 0.050830624
#> 132 -0.670995113
#> 133 -0.160290227
#> 134 0.605655947
#> 135 -0.313901839
#> 136 0.059627237
#> 137 0.401800768
#> 138 -0.538973202
#> 139 -1.040164435
#> 140 -0.701301113
#> 141 0.648911716
#> 142 0.287870404
#> 143 0.513154748
#> 144 -1.219540967
#> 145 -0.758237541
#> 146 -1.214597880
#> 147 -0.175522545
#> 148 0.437627498
#> 149 -1.004630465
#> 150 -0.006436228
#> 151 -0.367125834
#> 152 -0.903996797
#> 153 -0.067308641
#> 154 0.108880948
#> 155 0.637551202
#> 156 -0.748805590
#> 157 -0.308684400
#> 158 -0.667427380
#> 159 -0.325145213
#> 160 -0.538517969
#> 161 -1.707139506
#> 162 -0.447925379
#> 163 -0.193838577
#> 164 -1.739556300
#> 165 0.127380796
#> 166 -1.330504937
#> 167 -1.850581320
#> 168 -0.083441070
#> 169 -0.569805825
#> 170 0.137067557
#> 171 -0.692377683
#> 172 -1.712815170
#> 173 -1.166489461
#> 174 -1.807641038
#> 175 -0.551601945
#> 176 -1.011206261
#> 177 0.021148936
#> 178 -0.025118597
#> 179 -0.892190721
#> 180 -0.167611856
#> 181 -0.307577112
#> 182 -0.915076009
#> 183 -0.681221792
#> 184 -0.344189296
#> 185 -0.697074148
#> 186 -1.769189340
#> 187 -0.820861543
#> 188 -0.603100985
#> 189 -1.446186708
#> 190 -1.352586654
#> 191 -0.633857260
#> 192 0.076574594
#> 193 -0.373156215
#> 194 -0.450155273
#> 195 -1.037516089
#> 196 -1.002332161
#> 197 0.027142294
#> 198 -0.112279184
#> 199 -1.301386741
#> 200 -0.236849030
#> 201 0.414117946
#> 202 0.869504082
#> 203 0.600258897
#> 204 2.029491164
#> 205 0.575800355
#> 206 2.124671535
#> 207 1.626657694
#> 208 1.269628407
#> 209 1.131047576
#> 210 0.764159463
#> 211 1.215123123
#> 212 0.507839436
#> 213 2.109218144
#> 214 0.513148300
#> 215 1.081095502
#> 216 1.054241427
#> 217 0.586074955
#> 218 0.859772135
#> 219 0.322188108
#> 220 0.747322864
#> 221 1.807801335
#> 222 0.790001734
#> 223 1.788477578
#> 224 2.066026218
#> 225 1.463254947
#> 226 0.883651223
#> 227 0.419009298
#> 228 1.834709245
#> 229 2.135804392
#> 230 0.641343153
#> 231 0.981588519
#> 232 0.566977214
#> 233 1.864743728
#> 234 1.522453943
#> 235 0.613373522
#> 236 2.103249761
#> 237 0.453913417
#> 238 1.848554617
#> 239 1.543756640
#> 240 0.324014381
#> 241 -0.402439677
#> 242 -0.156911209
#> 243 -0.055935929
#> 244 0.282127627
#> 245 1.179916315
#> 246 1.223040781
#> 247 -0.028283219
#> 248 -0.044409569
#> 249 -0.104537472
#> 250 1.153211205
#> 251 -0.240161611
#> 252 0.753674909
#> 253 0.264874637
#> 254 0.840866788
#> 255 -0.325215350
#> 256 0.392652374
#> 257 -0.341329648
#> 258 0.136105309
#> 259 -0.443019483
#> 260 -0.302657655
#> 261 0.176168748
#> 262 0.593076214
#> 263 1.287797173
#> 264 0.033814533
#> 265 1.156835595
#> 266 1.155759087
#> 267 0.437311762
#> 268 -0.017686704
#> 269 0.174165498
#> 270 1.466940839
#> 271 1.345881357
#> 272 0.345353217
#> 273 1.219402618
#> 274 1.261637970
#> 275 0.876038676
#> 276 -0.061351861
#> 277 1.408105450
#> 278 0.215862636
#> 279 -0.327058640
#> 280 -0.196354213
#> 281 0.884429165
#> 282 2.682529480
#> 283 1.120318415
#> 284 2.125251531
#> 285 1.047393926
#> 286 2.155873191
#> 287 2.577623607
#> 288 1.587624796
#> 289 1.904730113
#> 290 2.560989322
#> 291 1.928766558
#> 292 1.116723555
#> 293 2.792234436
#> 294 1.947536510
#> 295 0.979271545
#> 296 1.366063416
#> 297 1.919175482
#> 298 2.067194909
#> 299 2.331293665
#> 300 2.430404510
#> 301 1.099778747
#> 302 1.144400528
#> 303 1.484472692
#> 304 2.668027190
#> 305 1.455816792
#> 306 2.172494336
#> 307 1.471881752
#> 308 1.993608511
#> 309 1.698291441
#> 310 1.039320642
#> 311 1.087667407
#> 312 1.635665911
#> 313 1.681827130
#> 314 2.614966386
#> 315 1.969403078
#> 316 1.290311315
#> 317 1.013285423
#> 318 1.861238214
#> 319 1.046055663
#> 320 2.785378662
#> 321 -0.754727439
#> 322 -0.560817330
#> 323 0.792225052
#> 324 -0.189972237
#> 325 0.801943869
#> 326 0.454319691
#> 327 -0.075671920
#> 328 -0.065373960
#> 329 0.878916959
#> 330 0.513213713
#> 331 -0.959191607
#> 332 -0.511312552
#> 333 0.674586594
#> 334 -0.034828902
#> 335 -0.234390241
#> 336 0.603154638
#> 337 -0.339746055
#> 338 0.009979208
#> 339 -0.304759234
#> 340 -0.107522134
#> 341 -0.607221114
#> 342 0.148036999
#> 343 0.832353004
#> 344 0.503896802
#> 345 -0.775664331
#> 346 -0.839808656
#> 347 -0.150742237
#> 348 0.709493069
#> 349 0.030584823
#> 350 0.467040904
#> 351 -0.252072453
#> 352 0.703294264
#> 353 0.018437400
#> 354 -0.704824805
#> 355 -0.264987496
#> 356 -1.047033958
#> 357 0.832400255
#> 358 0.327605333
#> 359 0.288789280
#> 360 -0.179927589
#> 361 0.815103879
#> 362 0.872730942
#> 363 0.432701398
#> 364 -0.669520504
#> 365 -0.059790645
#> 366 -0.912514332
#> 367 -0.868076096
#> 368 -0.991108284
#> 369 -0.395029804
#> 370 -0.583329982
#> 371 0.578505095
#> 372 0.186958084
#> 373 -0.195690200
#> 374 0.686049598
#> 375 -0.602981303
#> 376 -0.950607309
#> 377 -0.439649149
#> 378 -0.597412856
#> 379 -0.206062221
#> 380 -0.485964990
#> 381 0.681073384
#> 382 0.850910232
#> 383 0.445492473
#> 384 0.627482048
#> 385 0.368423848
#> 386 0.002872932
#> 387 0.412091005
#> 388 0.351431029
#> 389 -0.782076105
#> 390 -0.588890646
#> 391 -0.141624169
#> 392 -1.029729876
#> 393 0.098549292
#> 394 -1.014536946
#> 395 -0.013788062
#> 396 0.141770982
#> 397 0.062978928
#> 398 -0.207827126
#> 399 0.665840591
#> 400 -0.503499389