Wrapper to get the fitted/predicted response of the model at the response scale.
Usage
getFitted(object, ...)
# Default S3 method
getFitted(object, ...)
# S3 method for class 'gam'
getFitted(object, ...)
# S3 method for class 'HLfit'
getFitted(object, ...)
# S3 method for class 'MixMod'
getFitted(object, ...)
# S3 method for class 'phylolm'
getFitted(object, ...)
# S3 method for class 'phyloglm'
getFitted(object, ...)
# S3 method for class 'brmsfit'
getFitted(object, ...)Details
The purpose of this wrapper is to extract the fitted values, which is implemented via predict(model, type = "response") for most model classes.
If you implement this function for a new model class, you should include an option to modify which random effects (REs) are included in the predictions. If this option is not available, it is essential that predictions are provided marginally/unconditionally, i.e. without the RE estimates (because of https://github.com/florianhartig/DHARMa/issues/43), which corresponds to re-form = ~0 in lme4.
Examples
testData = createData(sampleSize = 400, family = gaussian())
fittedModel <- lm(observedResponse ~ Environment1 , data = testData)
# response that was used to fit the model
getObservedResponse(fittedModel)
#> [1] -2.574460652 0.664275841 2.376681558 -1.067957466 0.339797078
#> [6] 0.218102957 -0.522741256 0.258312203 0.032234980 -0.475778740
#> [11] 1.402667454 -0.408740968 0.029629108 0.216875853 -1.422314303
#> [16] 1.160967101 -0.624111331 0.143935077 0.324235048 0.191278766
#> [21] -0.159448838 -0.278526666 -0.933792638 1.894202262 1.460161480
#> [26] -1.105077636 -0.688082750 0.138672632 1.660491276 0.667347217
#> [31] 1.189141322 0.763453916 2.400840335 -1.313472063 -1.285441504
#> [36] -0.358287983 1.521711408 -1.920066677 1.311266431 1.723127179
#> [41] 0.781130994 -1.811965140 -1.742818014 -0.579529769 -2.117711204
#> [46] -0.648610473 -0.922090937 -0.189354482 -0.630777717 -3.628003080
#> [51] -0.123981964 -0.710116379 -1.557554853 0.451450716 -1.283768833
#> [56] -0.856441933 -2.212042510 -0.587553631 0.016735054 0.226599048
#> [61] -1.979744955 -2.504785978 -1.225605585 -1.217136219 1.355269904
#> [66] -1.097319526 -0.457067812 -1.708545418 -1.862746845 -2.796975155
#> [71] -0.684726843 -1.896085072 -0.124689297 -2.727552622 -2.171167364
#> [76] -0.199108306 2.436845859 0.079177784 -2.930107085 -1.612481717
#> [81] -0.683935853 -0.454686775 -1.182396023 1.603987065 0.101124546
#> [86] 0.620417772 -1.882837318 -0.894840387 0.105532558 -0.931831899
#> [91] -0.143638834 1.067986012 0.602718120 0.740318862 -1.393533538
#> [96] -1.306898408 -1.109300956 -0.183733467 -1.396859402 -1.912863813
#> [101] -1.329881608 -0.696854164 0.748515075 0.167451161 2.029421643
#> [106] -1.727837878 -0.082329726 -3.147442564 0.103100635 -1.756566337
#> [111] -0.430893379 -0.447310838 -1.672839788 0.058130223 -0.507045862
#> [116] -0.423592668 0.397243256 -0.357243095 0.345094880 -0.238971713
#> [121] 0.710897799 -1.091180367 -1.101858817 2.450081203 0.536054713
#> [126] 0.188922161 -0.200682538 1.150937633 2.346417228 2.177975051
#> [131] 1.066237671 3.665700884 2.932061527 -0.872601471 0.277810222
#> [136] -0.435503381 0.350651978 0.906589560 0.219271231 -0.851489715
#> [141] -0.857871799 -0.477401929 1.557483086 1.815372980 1.524442763
#> [146] 1.544988317 -0.243209591 1.651595744 0.856048621 1.649820503
#> [151] 0.798318025 1.696680994 0.624084830 -0.330308924 0.689799271
#> [156] -1.120722621 -0.528273200 1.449545385 -0.410542476 1.404867485
#> [161] 0.519127134 -1.825300964 -0.787184409 1.108701283 -1.187661836
#> [166] -0.092470693 2.008167935 0.168910840 -0.296907941 -2.864087017
#> [171] 0.256174198 -2.384868097 -0.995435168 -1.493053053 1.108203984
#> [176] -0.545443710 0.265911883 -0.952861883 0.896117235 -2.383006898
#> [181] -1.389361685 1.358457409 -0.961952124 1.041926272 -1.321561641
#> [186] -0.563980383 0.266467575 -0.967360496 0.859762208 -0.492098124
#> [191] -0.743176789 0.963669906 -2.165010642 0.258447869 0.803120928
#> [196] -0.524155446 -1.200919909 0.254352862 0.765058198 -2.253554903
#> [201] -0.869050286 -0.249531780 -1.796526905 1.955193954 -2.304632818
#> [206] 2.094994792 -1.788460971 -0.662958187 0.958197264 -1.184522004
#> [211] 0.813413816 -1.244372171 1.319693226 1.309628821 -0.421231267
#> [216] -1.148534804 0.344142266 0.588921516 -0.287796808 1.578706174
#> [221] -0.289911916 0.123609982 3.193516642 0.376047938 1.916949111
#> [226] 0.959646714 1.397753423 0.201541175 -0.675592079 2.561367050
#> [231] -0.170951832 -0.032529634 2.242486093 0.248969818 1.016752866
#> [236] 1.410938215 -1.284870470 1.361472585 1.762629243 1.198307505
#> [241] 0.761188264 3.035128032 1.142750501 -0.142575111 1.200978938
#> [246] -0.255225739 1.073627144 1.000549602 -0.879977091 1.171802111
#> [251] 1.584444836 1.599774511 1.944555475 0.189839334 -0.794334623
#> [256] 2.150827042 0.679798689 2.659691233 1.727231740 1.033871069
#> [261] 0.293927492 2.280777152 1.131884502 1.024036223 0.855131004
#> [266] 2.414629468 0.592938115 -0.876392747 -0.777175197 -0.352944338
#> [271] 2.370067857 2.176435431 -1.093731162 1.716047337 0.694565766
#> [276] 1.341924743 -0.664572737 -1.643531062 -0.806638623 -0.001940975
#> [281] 0.501089537 1.419972959 1.191038782 0.930146399 1.157372840
#> [286] 0.174843881 -0.602278129 1.926157481 -1.113759051 -0.061503115
#> [291] 0.272830678 -1.626802828 2.126458075 -0.440735426 0.126263176
#> [296] 0.416731500 -0.511107599 0.344330940 0.513975824 1.029149266
#> [301] 0.898513327 0.682566607 -1.836619752 0.217352992 -0.304415150
#> [306] -0.816634553 0.628359101 0.291316878 -1.163807552 1.593950994
#> [311] -0.898787846 -2.753232130 -0.992771738 -1.277676905 0.525825783
#> [316] 1.606788983 0.672303878 -1.940491979 -1.333387946 -0.775118676
#> [321] 0.139977828 -0.573764391 -2.098756034 -2.484358939 -0.915448297
#> [326] -0.815815802 0.655358940 -1.293743441 -2.105991812 2.651423205
#> [331] -0.328385557 -1.893022244 0.914731168 -0.257928023 0.718157946
#> [336] 0.346015744 -0.306372355 -2.344641618 0.516390266 0.247224698
#> [341] -0.592774630 0.502205608 -1.642920130 -2.139900119 -1.306750335
#> [346] 0.961005671 -1.434254447 -0.879719861 -2.006008762 -0.784151847
#> [351] -0.973803513 -1.693916925 0.318737607 -0.079332182 0.489912210
#> [356] 0.811854718 -0.273799597 -1.677080885 -0.359814889 -2.071177848
#> [361] -1.161840347 -1.187739978 0.622644782 0.253230267 -1.343249275
#> [366] 0.352849945 0.370708269 -0.781360928 -1.971158609 0.193329216
#> [371] 1.207195074 1.420607197 -1.392833932 -0.572060207 -0.268078318
#> [376] -2.104488742 -0.112724631 -0.626752941 0.338043911 -1.823747994
#> [381] -0.973981166 0.523842593 0.192816390 1.215200294 -0.071231752
#> [386] -2.307303227 -0.994605370 -1.265388408 -0.272252580 -2.123083178
#> [391] -1.177018195 0.901844329 1.038513160 -2.109674427 0.148554240
#> [396] -1.509224469 -1.561272511 -2.248821101 0.071090133 -4.134212708
# predictions of the model for these points
getFitted(fittedModel)
# extract simulations from the model as matrix
getSimulations(fittedModel, nsim = 2)
#> sim_1 sim_2
#> 1 2.7370277824 1.085504205
#> 2 0.2578437863 -0.152234710
#> 3 0.1232221520 3.538903807
#> 4 0.2707885657 -0.036387251
#> 5 -0.2809954550 2.028778387
#> 6 -0.2644971828 0.797068124
#> 7 -0.0353386512 -0.068019107
#> 8 -1.1056344917 -3.204828593
#> 9 0.2477974667 1.414926669
#> 10 -1.1754192655 -0.123043425
#> 11 -0.2832521856 0.798659495
#> 12 -2.7163336398 -0.804388841
#> 13 0.2315233862 1.052456093
#> 14 -1.2084357605 -2.364118262
#> 15 -3.2327352046 0.067437497
#> 16 0.0041293779 -2.838431254
#> 17 1.3681412895 -0.354813539
#> 18 -1.8741252284 -0.215764178
#> 19 -1.6624315318 1.610447051
#> 20 -0.8127563454 -1.193230501
#> 21 -1.2308295876 -0.768840753
#> 22 -0.4373792630 -0.845266957
#> 23 -0.9284246525 2.215641953
#> 24 -0.8387071692 0.455791503
#> 25 0.3744121692 -0.095414527
#> 26 -0.0633656330 0.699019248
#> 27 2.1990542832 1.097712480
#> 28 0.8838930093 0.657600428
#> 29 0.3171273837 0.292389011
#> 30 -2.1263611063 -0.204045893
#> 31 -0.9667846803 0.634114247
#> 32 -0.4030585425 2.869159527
#> 33 1.8330922416 0.325664209
#> 34 -2.7300711605 -1.078747495
#> 35 -2.8847055055 -2.334487297
#> 36 -1.8835903562 1.590611061
#> 37 1.8442131997 3.082853282
#> 38 -1.2648013712 -0.580122370
#> 39 -0.4283515395 -0.379567675
#> 40 -1.4970973175 -0.126756153
#> 41 -0.0980325624 1.319253886
#> 42 0.3111946261 1.494393998
#> 43 1.9846600989 -1.482917504
#> 44 -0.3848979458 -0.256252360
#> 45 1.9299917195 2.615252851
#> 46 -1.3319522498 1.512758545
#> 47 1.2298531181 -1.089228260
#> 48 0.3579942292 -1.864293653
#> 49 -0.2228018248 -2.005847525
#> 50 -0.4107697442 -0.407873652
#> 51 -0.5363266070 -0.234218113
#> 52 -1.1296897522 -2.029829491
#> 53 -0.8651820687 -2.983702862
#> 54 -0.1880389779 -1.134658371
#> 55 0.2482771317 0.728730960
#> 56 0.5284741668 -2.690424629
#> 57 1.1101146703 -0.937481327
#> 58 -0.7770379073 -1.101763173
#> 59 2.1624303360 2.644357786
#> 60 0.2733798065 -1.245071054
#> 61 -1.3930564926 -1.270127051
#> 62 0.2230560073 -0.073087967
#> 63 0.0760642828 0.001031019
#> 64 0.0404906517 -0.584818460
#> 65 0.8194195917 0.923760505
#> 66 -2.2576279599 -0.488211417
#> 67 0.0959689432 0.611161609
#> 68 -0.0116935278 0.012413045
#> 69 -2.6617282287 -0.544004379
#> 70 2.1995700783 -1.839963688
#> 71 1.5687390241 -1.998537626
#> 72 0.1837787251 -0.865589157
#> 73 -0.7098660897 0.857603289
#> 74 0.1065079627 0.453919355
#> 75 -4.1224840845 -1.085445638
#> 76 0.5975021683 -2.272285843
#> 77 1.5441960889 1.498246975
#> 78 1.1346589910 3.611171269
#> 79 -0.8644060902 -1.756383917
#> 80 -1.6400528491 -0.398208410
#> 81 -0.4951523338 -0.129313118
#> 82 1.7575381563 2.011967027
#> 83 -1.0851831162 -0.591771642
#> 84 2.2089927756 1.551215262
#> 85 0.8410247958 0.842498072
#> 86 0.0001630252 1.129996122
#> 87 -0.4049560679 -0.018276976
#> 88 -1.0415550065 0.813308720
#> 89 2.7723844377 0.139141747
#> 90 -1.6483324790 1.058815594
#> 91 -0.2778200437 0.679718624
#> 92 -0.4417100736 -0.547746523
#> 93 2.2692885239 0.870446855
#> 94 0.8996991863 1.280281890
#> 95 -3.0346928415 -1.483104496
#> 96 -1.7713669797 1.141054769
#> 97 0.4433410621 0.796788921
#> 98 1.6988221113 -0.812575518
#> 99 -2.0326747020 -3.019695447
#> 100 1.0090598941 -2.033202951
#> 101 -0.6503175537 -0.041937106
#> 102 -0.1908187338 2.972811270
#> 103 1.3334842724 -0.118491964
#> 104 0.0533979867 1.351147449
#> 105 -0.1005625908 1.827998882
#> 106 -2.0563099557 -1.394623182
#> 107 2.4902402717 -1.283625162
#> 108 -1.0071949362 -0.415188063
#> 109 0.7402808813 0.543064622
#> 110 -1.1271553423 -0.151681593
#> 111 -0.4078282558 0.541737367
#> 112 -0.3569683564 -1.058808247
#> 113 -2.2817659649 -2.263336562
#> 114 0.6781561584 -1.664071163
#> 115 -0.8512342098 -0.387271915
#> 116 0.6474965356 -1.838251965
#> 117 -0.1184390302 -0.647698982
#> 118 1.5716768377 1.793890775
#> 119 2.5135939416 0.572790606
#> 120 -1.4082376151 -0.869038331
#> 121 -1.2154146238 -0.438622487
#> 122 1.1073258569 -0.931081187
#> 123 0.4541106392 0.640264235
#> 124 2.4265681152 0.089118201
#> 125 0.9428387798 1.029283166
#> 126 1.4403687193 0.158408317
#> 127 -0.5582056505 -0.083012130
#> 128 -0.5951203339 1.096024530
#> 129 0.1926320630 0.791382039
#> 130 1.0191897179 0.366394868
#> 131 0.0543667140 0.684623029
#> 132 0.6782620919 -0.677321490
#> 133 -0.3791204003 -0.145610504
#> 134 1.0421719457 -1.347833256
#> 135 1.6924291483 -0.718973067
#> 136 -0.0118406470 1.648062736
#> 137 1.1358603316 0.832100476
#> 138 0.6192172128 1.718193437
#> 139 -1.5823594556 -0.643152386
#> 140 -2.9008546395 -1.229014376
#> 141 -3.4955401357 -2.897254437
#> 142 -2.6758675177 -1.651496083
#> 143 -0.0013775740 -0.136977542
#> 144 1.9804858321 1.500228466
#> 145 -3.5476860222 -0.810817233
#> 146 0.4690931234 -0.379620381
#> 147 -0.8072460345 -0.589508420
#> 148 2.1917605484 -0.507665306
#> 149 1.6584128316 -0.033443850
#> 150 -1.9117924120 -0.516303342
#> 151 2.1600550810 1.425192981
#> 152 0.8990467223 -0.946584101
#> 153 -1.1964779631 -0.425133314
#> 154 -0.2050004158 -0.819754715
#> 155 -0.6345849250 2.617005073
#> 156 0.2599239191 -0.466814485
#> 157 0.0088420161 0.241335123
#> 158 -0.5280307774 2.771492237
#> 159 0.3877513715 -1.027599720
#> 160 0.3011326281 0.901995197
#> 161 1.0712333651 -0.167378952
#> 162 0.6313105369 -0.371774681
#> 163 -0.1785857790 -0.562651799
#> 164 -0.6119555891 -0.477854538
#> 165 -2.1264877499 -2.019264664
#> 166 -1.0946883948 2.031422193
#> 167 -0.8001447719 1.245249184
#> 168 0.5857986874 -1.820953891
#> 169 -1.5632222411 -0.862482839
#> 170 -1.5307546258 -2.783512127
#> 171 -0.9263299776 -0.107050991
#> 172 -0.3888716038 -0.557222693
#> 173 -0.2773973003 -0.201174217
#> 174 -0.4266398747 -1.971265307
#> 175 1.2907249505 -0.084217056
#> 176 -0.6059968738 1.152716367
#> 177 2.4345355511 0.655660933
#> 178 -1.6222442758 -1.619402899
#> 179 -1.3902195236 -1.479369147
#> 180 -0.2764823082 -1.570523244
#> 181 -0.6529405127 -0.946809689
#> 182 0.2434935983 1.352704169
#> 183 0.2555569163 -0.396698061
#> 184 1.2637459024 1.989634382
#> 185 2.5947554990 0.520430297
#> 186 -2.5353885934 -0.629515201
#> 187 0.2519414060 1.508854620
#> 188 0.2017054699 0.657480601
#> 189 -2.5304095452 -1.282270111
#> 190 -0.1661174495 -1.624133430
#> 191 -1.0550221860 1.161439427
#> 192 1.2018531354 -1.017959189
#> 193 -1.0344816682 -3.031197725
#> 194 -0.0337513742 -1.821519819
#> 195 2.5603571828 1.310530899
#> 196 0.6096791044 -0.859437112
#> 197 -0.0809878680 -2.079366426
#> 198 -0.2717110372 -1.159873715
#> 199 0.3197263074 0.356357224
#> 200 -0.9456594325 -1.198161987
#> 201 -0.3858101661 -0.794510366
#> 202 1.9234473502 2.995641837
#> 203 -1.6096078029 -0.538753301
#> 204 0.8474406404 0.356337251
#> 205 -1.3297636694 -2.334668565
#> 206 0.2399374683 -0.886628744
#> 207 -1.4438007495 -0.754763398
#> 208 1.0218375838 1.107054544
#> 209 1.9031572382 -0.102489343
#> 210 -0.8491702187 -2.100976193
#> 211 -2.3721776193 -0.489068143
#> 212 -0.2444497557 -2.191252638
#> 213 0.8737271620 0.567939888
#> 214 -0.5623259304 -1.469224393
#> 215 0.5149729852 -0.978315495
#> 216 -1.3628198048 0.375128477
#> 217 -0.7270606672 0.164760611
#> 218 -0.4489595746 -0.737731777
#> 219 -1.2594789050 -0.943569709
#> 220 -0.6486188166 0.260583125
#> 221 0.3011376758 -2.336395787
#> 222 -0.7448274082 0.857438438
#> 223 1.5140223418 0.026780376
#> 224 -0.8301085238 -1.414539661
#> 225 -0.3562208057 2.330857898
#> 226 -1.5053353854 0.169906970
#> 227 -2.2280639091 0.158731618
#> 228 1.5705447052 -0.117062513
#> 229 -2.4548738542 1.610800933
#> 230 -2.7887942373 0.357992025
#> 231 1.2272229822 -0.174677463
#> 232 0.1769869224 -0.632184233
#> 233 2.2551269897 1.115743444
#> 234 0.6150278816 -0.367071626
#> 235 -2.1823570998 -0.174679991
#> 236 1.1066943936 1.359345025
#> 237 -2.2463980256 0.597100780
#> 238 0.4738397507 2.025906042
#> 239 2.8417018973 -0.111306037
#> 240 1.0424448492 2.490849850
#> 241 -0.9426854955 0.304234102
#> 242 -0.1630837393 -0.808421934
#> 243 -0.0571266006 -0.767569503
#> 244 -0.2724130106 1.173617576
#> 245 -1.1801906872 0.720703423
#> 246 1.6010131569 1.309951607
#> 247 0.1061028392 -1.607832246
#> 248 1.6156037029 -0.956972319
#> 249 -1.3225427139 -0.797280973
#> 250 -0.6285602039 1.662771795
#> 251 1.0523710054 2.354154799
#> 252 -0.7605538355 0.955252153
#> 253 1.5857189220 1.688602216
#> 254 -0.5597011983 0.225603976
#> 255 1.2074223047 0.248430392
#> 256 0.2784246102 0.243007754
#> 257 -0.1236227188 -1.002055609
#> 258 1.7300408513 0.390345326
#> 259 0.5822231810 -0.030919385
#> 260 -0.4937571060 0.655456696
#> 261 1.0376547326 -2.654541736
#> 262 0.8569488631 0.683921915
#> 263 0.4725434212 1.548670502
#> 264 0.9231996061 -3.098415483
#> 265 0.6729488526 -0.708061378
#> 266 1.4996883049 -0.343440466
#> 267 -0.3165353255 -0.326451255
#> 268 -0.9987139806 -2.872462299
#> 269 0.1974676666 -2.064800830
#> 270 1.2424984492 -0.593920942
#> 271 0.8986940904 -0.564037215
#> 272 0.7564664437 0.725453542
#> 273 -1.0921829806 0.699094067
#> 274 -0.3597719396 0.112118342
#> 275 0.7672802274 0.242604145
#> 276 1.4733897320 1.605496006
#> 277 -1.9852242297 -0.327849924
#> 278 0.2865902972 0.639772952
#> 279 0.0056392207 -0.891285586
#> 280 1.0213957700 2.587107897
#> 281 2.6347141465 0.057432727
#> 282 0.2411244836 1.214432127
#> 283 -1.3633204223 -1.425122676
#> 284 -1.1824571818 -1.047564868
#> 285 -0.6846019415 -1.860470880
#> 286 -2.6403207908 -0.903567495
#> 287 2.3290997672 1.335168740
#> 288 -2.2071651661 -0.479605308
#> 289 -2.8894840411 -2.065352008
#> 290 -0.1187841466 -0.770727657
#> 291 -0.5621638054 0.605021279
#> 292 0.9307556179 0.754832343
#> 293 -1.4303621731 0.187912490
#> 294 -1.3812542040 -0.470327994
#> 295 -2.4302152444 1.581489426
#> 296 -0.4973513121 0.315032097
#> 297 0.1283024473 -2.298917580
#> 298 -0.8168531979 -1.392191575
#> 299 -0.5103084704 0.194499160
#> 300 -1.3083410688 1.122633343
#> 301 1.1091154583 1.118380370
#> 302 0.8077929375 0.548487031
#> 303 -2.5018445418 -1.735434190
#> 304 -2.7981936341 -0.730186295
#> 305 -0.8057870899 -0.384220393
#> 306 1.3507867858 -0.997407037
#> 307 0.9195717179 -1.573437544
#> 308 1.7938603229 0.477264918
#> 309 -1.4577108458 -2.669170518
#> 310 1.3092161823 1.840106680
#> 311 -0.2570718035 -0.938649881
#> 312 -0.8783093036 -0.383966639
#> 313 -0.8946993591 0.874815370
#> 314 -0.5724402060 -0.522700259
#> 315 -0.7580316715 -0.175928759
#> 316 0.1907777901 0.160315186
#> 317 1.0130924204 1.776495333
#> 318 0.5011034156 -2.403101796
#> 319 -0.4095755279 0.228530722
#> 320 0.3072633043 -1.590837448
#> 321 -3.4432148429 -0.702771333
#> 322 -1.6675193937 -3.054078695
#> 323 0.5183512867 -1.984242960
#> 324 1.1907664531 -0.831747799
#> 325 -0.5616263687 -0.342223268
#> 326 0.3330686034 -0.812289701
#> 327 -0.1321765840 -3.517572916
#> 328 0.1040955732 0.727141261
#> 329 0.0392766234 -1.661293615
#> 330 1.6668463992 0.795742645
#> 331 0.6723673989 -2.234909577
#> 332 -1.0787946648 0.319242276
#> 333 0.7196271697 -0.999246969
#> 334 1.2343694229 -0.518901521
#> 335 1.8072984130 -0.443791252
#> 336 -1.5926730816 -1.469106058
#> 337 -1.8274280518 -0.979303423
#> 338 0.2734389247 0.844998916
#> 339 2.0211840584 -0.702040162
#> 340 0.7338227132 0.125738869
#> 341 0.3019746418 -0.933839498
#> 342 0.0812520628 0.504575094
#> 343 -0.1568336976 -1.362588561
#> 344 -1.1745984750 -1.313835492
#> 345 -1.3213308393 -2.302090669
#> 346 0.6243518441 -2.763613415
#> 347 -1.5821783700 -0.868449191
#> 348 1.3347500433 -0.598000670
#> 349 0.1950771075 -1.015657308
#> 350 0.9933515788 -1.621862825
#> 351 -2.1663303363 -1.598831180
#> 352 -1.0092259662 -1.349834924
#> 353 2.7195763457 -0.951290769
#> 354 0.8300439790 3.372936468
#> 355 1.5763287063 2.607027600
#> 356 -0.6359606659 2.021444738
#> 357 2.7001105022 0.639021504
#> 358 0.2208652363 -1.535730440
#> 359 -0.7937778980 0.054838242
#> 360 -1.3809151576 -2.164259950
#> 361 -0.7818104068 -1.505138899
#> 362 -0.1329519991 -0.663529112
#> 363 -1.2802412316 -0.531105534
#> 364 -0.2612209774 0.366424672
#> 365 -0.7787971767 -0.615894065
#> 366 1.2239532650 1.022269297
#> 367 -0.0127330300 0.892292486
#> 368 1.0964271528 -1.216067908
#> 369 0.0971955719 -0.913538992
#> 370 1.0537349877 -1.267749306
#> 371 1.1486335114 1.804661106
#> 372 -1.4651787626 -2.202725445
#> 373 0.2836462590 -1.892777791
#> 374 0.8661644388 0.522940083
#> 375 0.2993224451 1.445728284
#> 376 0.0364263879 -0.252976926
#> 377 -1.2986619428 -1.650437174
#> 378 -0.9399881376 0.334020153
#> 379 1.6277176688 0.533220728
#> 380 0.8491961175 -0.547721176
#> 381 -0.3567840347 -1.874426747
#> 382 -0.0360040204 0.755598142
#> 383 -0.5449746564 -1.190033116
#> 384 2.7988413929 2.289939272
#> 385 1.4334532045 1.718197295
#> 386 0.2031240074 0.438118885
#> 387 0.8341779245 -0.405681719
#> 388 1.2564320880 0.102369359
#> 389 -0.2491497717 -2.171310062
#> 390 -1.6264746392 0.997576447
#> 391 -0.3672908101 -0.629073577
#> 392 1.5833030027 0.293001377
#> 393 1.7663924425 1.948620121
#> 394 1.6238008917 -2.027349405
#> 395 -0.6139983492 -0.124329180
#> 396 -1.1185574765 -1.496681019
#> 397 0.8043755093 -1.771109558
#> 398 -0.8858275185 -0.976374422
#> 399 -0.6166879316 0.608782632
#> 400 -0.5243450233 -1.630938043
# 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
#> -0.08454 1.24225
#>
getRefit(fittedModel, getObservedResponse(fittedModel))
#>
#> Call:
#> lm(formula = observedResponse ~ Environment1, data = newData)
#>
#> Coefficients:
#> (Intercept) Environment1
#> -0.07898 1.15935
#>
# get data frame that was used to fit the model
getData(fittedModel)
#> ID observedResponse Environment1 group time x y
#> 1 1 -2.574460652 0.392435485 1 311 0.9175995232 0.697877645
#> 2 2 0.664275841 0.450916025 1 284 0.5680213831 0.710057314
#> 3 3 2.376681558 0.739729416 1 179 0.7694929536 0.279776651
#> 4 4 -1.067957466 0.410742944 1 323 0.3054886553 0.391764185
#> 5 5 0.339797078 0.738528546 1 262 0.8472175261 0.011770112
#> 6 6 0.218102957 -0.411359876 1 45 0.1798252072 0.167817884
#> 7 7 -0.522741256 -0.070718943 1 149 0.4625622921 0.476443218
#> 8 8 0.258312203 -0.665534767 1 184 0.3001043957 0.364948730
#> 9 9 0.032234980 -0.239133793 1 85 0.2596288191 0.724548188
#> 10 10 -0.475778740 -0.945331574 1 247 0.7976851889 0.442471800
#> 11 11 1.402667454 0.872098155 1 332 0.0528799514 0.560212685
#> 12 12 -0.408740968 -0.957899920 1 343 0.5091842709 0.300415880
#> 13 13 0.029629108 0.882369565 1 32 0.7417495940 0.984363360
#> 14 14 0.216875853 -0.763361124 1 350 0.6801629320 0.975806305
#> 15 15 -1.422314303 -0.562643398 1 342 0.2052466183 0.493851950
#> 16 16 1.160967101 -0.798677228 1 155 0.1273285337 0.142484714
#> 17 17 -0.624111331 0.253498364 1 253 0.0874395492 0.105848323
#> 18 18 0.143935077 0.240509447 1 366 0.1993693025 0.146401634
#> 19 19 0.324235048 0.374290118 1 165 0.9960346434 0.954563706
#> 20 20 0.191278766 -0.354778659 1 145 0.0139503914 0.020938448
#> 21 21 -0.159448838 -0.189683739 1 292 0.2716293393 0.414865856
#> 22 22 -0.278526666 -0.882653174 1 367 0.2569292076 0.707813076
#> 23 23 -0.933792638 0.571776117 1 160 0.9231152455 0.875936307
#> 24 24 1.894202262 0.005388666 1 314 0.0777167978 0.808106386
#> 25 25 1.460161480 0.785455401 1 162 0.5974341445 0.331193489
#> 26 26 -1.105077636 0.038416492 1 111 0.1420275969 0.045419127
#> 27 27 -0.688082750 -0.053283912 1 166 0.5346449041 0.559764144
#> 28 28 0.138672632 0.940718665 1 358 0.9892306393 0.167046825
#> 29 29 1.660491276 0.992474696 1 276 0.9413320157 0.396603937
#> 30 30 0.667347217 -0.120822107 1 313 0.8828778279 0.820339396
#> 31 31 1.189141322 0.709222978 1 14 0.3635183051 0.480733243
#> 32 32 0.763453916 0.897267484 1 289 0.2944824244 0.275902402
#> 33 33 2.400840335 0.426628594 1 306 0.0994586237 0.254828457
#> 34 34 -1.313472063 -0.993146324 1 388 0.5327091969 0.763087729
#> 35 35 -1.285441504 -0.965970664 1 377 0.3448833355 0.942262943
#> 36 36 -0.358287983 -0.641555495 1 139 0.2729747675 0.309619955
#> 37 37 1.521711408 0.896092128 1 176 0.2994925724 0.668631855
#> 38 38 -1.920066677 -0.556400526 1 59 0.3997987115 0.460840566
#> 39 39 1.311266431 0.044012765 1 230 0.0442382421 0.737109460
#> 40 40 1.723127179 -0.105686258 1 76 0.9217121303 0.754326748
#> 41 41 0.781130994 0.252139301 2 189 0.0724212907 0.387798672
#> 42 42 -1.811965140 0.140314591 2 83 0.8531841161 0.378304465
#> 43 43 -1.742818014 0.957667465 2 300 0.4639853314 0.721158381
#> 44 44 -0.579529769 -0.325110618 2 339 0.3957739873 0.864168484
#> 45 45 -2.117711204 0.382274068 2 78 0.3604328935 0.052818448
#> 46 46 -0.648610473 -0.060992786 2 127 0.6350212197 0.819688066
#> 47 47 -0.922090937 0.016961705 2 224 0.3039506893 0.351975780
#> 48 48 -0.189354482 0.361755870 2 125 0.1151101654 0.445767540
#> 49 49 -0.630777717 -0.935776275 2 119 0.0913518250 0.038686907
#> 50 50 -3.628003080 -0.669973211 2 267 0.6875551404 0.212485637
#> 51 51 -0.123981964 -0.425993244 2 117 0.1874491940 0.922698600
#> 52 52 -0.710116379 0.396192258 2 222 0.2019061986 0.808098387
#> 53 53 -1.557554853 -0.826456445 2 131 0.1875890256 0.006928355
#> 54 54 0.451450716 0.474515105 2 226 0.3364118191 0.902019911
#> 55 55 -1.283768833 0.036954862 2 298 0.1309506895 0.526531292
#> 56 56 -0.856441933 -0.094324346 2 105 0.8480516039 0.177216310
#> 57 57 -2.212042510 0.545562360 2 1 0.0164330152 0.184253630
#> 58 58 -0.587553631 0.190641203 2 234 0.7185924847 0.344836648
#> 59 59 0.016735054 0.994758143 2 18 0.8910887886 0.385048385
#> 60 60 0.226599048 -0.394895235 2 90 0.4528047384 0.258867441
#> 61 61 -1.979744955 -0.713762877 2 257 0.9686870053 0.965844882
#> 62 62 -2.504785978 -0.784962174 2 321 0.4320598489 0.206122997
#> 63 63 -1.225605585 0.583903477 2 115 0.8223245759 0.173687427
#> 64 64 -1.217136219 -0.702688212 2 183 0.1014201993 0.352974870
#> 65 65 1.355269904 0.314466189 2 181 0.3544543455 0.896916922
#> 66 66 -1.097319526 -0.884308503 2 201 0.2798704598 0.285431727
#> 67 67 -0.457067812 0.823471586 2 58 0.3033050576 0.409071937
#> 68 68 -1.708545418 -0.103196607 2 392 0.4879513818 0.938055286
#> 69 69 -1.862746845 -0.892987556 2 208 0.8503525287 0.200596940
#> 70 70 -2.796975155 0.191927921 2 387 0.7514075343 0.766345912
#> 71 71 -0.684726843 -0.610282029 2 6 0.4296481966 0.479659507
#> 72 72 -1.896085072 -0.480292797 2 135 0.4088483993 0.407035132
#> 73 73 -0.124689297 0.283454794 2 213 0.6258847397 0.061000955
#> 74 74 -2.727552622 -0.766903054 2 269 0.3585685275 0.798522226
#> 75 75 -2.171167364 -0.764999283 2 132 0.5030434025 0.592608190
#> 76 76 -0.199108306 -0.620664931 2 53 0.7722737861 0.877514646
#> 77 77 2.436845859 0.729850317 2 97 0.9236307966 0.675464855
#> 78 78 0.079177784 0.891406162 2 11 0.1868916322 0.359843229
#> 79 79 -2.930107085 -0.933734115 2 381 0.5657208692 0.347132438
#> 80 80 -1.612481717 -0.228594495 2 330 0.2305003814 0.985357408
#> 81 81 -0.683935853 0.903397744 3 137 0.3582949133 0.041637335
#> 82 82 -0.454686775 -0.010689854 3 89 0.3498320561 0.602911001
#> 83 83 -1.182396023 -0.331904943 3 288 0.5361473504 0.344573604
#> 84 84 1.603987065 0.989951770 3 375 0.6396530846 0.336204757
#> 85 85 0.101124546 0.659507849 3 400 0.4244913948 0.857982634
#> 86 86 0.620417772 0.397087391 3 386 0.9933586314 0.879789406
#> 87 87 -1.882837318 -0.605237162 3 354 0.9079769112 0.668480969
#> 88 88 -0.894840387 -0.721564129 3 237 0.0634750207 0.008766958
#> 89 89 0.105532558 0.678331460 3 351 0.0879835102 0.757741758
#> 90 90 -0.931831899 -0.809937256 3 349 0.5498995078 0.146415193
#> 91 91 -0.143638834 0.266570517 3 238 0.5243423532 0.276730420
#> 92 92 1.067986012 0.050073119 3 27 0.5585833529 0.858659246
#> 93 93 0.602718120 0.891196335 3 334 0.6062957835 0.596008180
#> 94 94 0.740318862 0.407151124 3 280 0.6090275561 0.166216432
#> 95 95 -1.393533538 -0.580750261 3 46 0.6374138091 0.463388849
#> 96 96 -1.306898408 -0.288350845 3 325 0.2812806950 0.980681850
#> 97 97 -1.109300956 -0.322352161 3 206 0.3107622061 0.201659285
#> 98 98 -0.183733467 0.888187897 3 259 0.4410712880 0.609147179
#> 99 99 -1.396859402 -0.993993440 3 37 0.1037920581 0.006334074
#> 100 100 -1.912863813 0.591212313 3 81 0.2233287045 0.336776629
#> 101 101 -1.329881608 -0.885889308 3 318 0.7098318469 0.921458672
#> 102 102 -0.696854164 0.539945382 3 33 0.7317648195 0.861520265
#> 103 103 0.748515075 0.914675516 3 277 0.6279518642 0.208141941
#> 104 104 0.167451161 0.438464920 3 121 0.6388576124 0.699971888
#> 105 105 2.029421643 0.512138844 3 378 0.2672307026 0.247802709
#> 106 106 -1.727837878 -0.529008603 3 355 0.4681616994 0.892318500
#> 107 107 -0.082329726 0.734142514 3 106 0.1737220874 0.649632346
#> 108 108 -3.147442564 -0.723873627 3 274 0.1316232958 0.122561695
#> 109 109 0.103100635 -0.011380274 3 203 0.2218186532 0.101468824
#> 110 110 -1.756566337 -0.844000111 3 212 0.7026230225 0.488249207
#> 111 111 -0.430893379 -0.329069081 3 192 0.5379108570 0.724720797
#> 112 112 -0.447310838 -0.171348766 3 197 0.9009324154 0.963978986
#> 113 113 -1.672839788 -0.609260313 3 231 0.8613786267 0.441064435
#> 114 114 0.058130223 0.059837031 3 394 0.4208953213 0.609736881
#> 115 115 -0.507045862 0.082812993 3 13 0.0811820149 0.626835399
#> 116 116 -0.423592668 0.081722880 3 265 0.4576408779 0.136490443
#> 117 117 0.397243256 0.433289707 3 218 0.1466072057 0.850329085
#> 118 118 -0.357243095 0.627301562 3 295 0.7163090874 0.699085159
#> 119 119 0.345094880 0.901503681 3 20 0.6194777729 0.853436445
#> 120 120 -0.238971713 -0.115885123 3 61 0.4708230388 0.994566729
#> 121 121 0.710897799 -0.460613076 4 244 0.7345258719 0.950344041
#> 122 122 -1.091180367 -0.130472541 4 122 0.8723605275 0.249856708
#> 123 123 -1.101858817 0.005064197 4 341 0.1146418212 0.395674621
#> 124 124 2.450081203 0.091597127 4 336 0.5898541713 0.944821807
#> 125 125 0.536054713 0.924189282 4 136 0.4996708855 0.648251296
#> 126 126 0.188922161 0.589025073 4 395 0.4872499269 0.855445424
#> 127 127 -0.200682538 -0.216664899 4 146 0.0175744127 0.439349971
#> 128 128 1.150937633 0.557307916 4 249 0.2196528569 0.823985290
#> 129 129 2.346417228 0.851840940 4 65 0.9558850394 0.808731746
#> 130 130 2.177975051 0.847312126 4 190 0.4388374882 0.806438671
#> 131 131 1.066237671 -0.375700030 4 5 0.4806329578 0.349033306
#> 132 132 3.665700884 0.376272755 4 95 0.4105011951 0.859855212
#> 133 133 2.932061527 -0.054759831 4 391 0.6673189863 0.889043011
#> 134 134 -0.872601471 0.201365365 4 324 0.2026294167 0.641724773
#> 135 135 0.277810222 0.480479558 4 110 0.4774751554 0.142439214
#> 136 136 -0.435503381 0.430729296 4 361 0.8085616461 0.515159602
#> 137 137 0.350651978 0.099796389 4 379 0.0870563120 0.379658111
#> 138 138 0.906589560 0.881820199 4 180 0.7816502654 0.766895538
#> 139 139 0.219271231 0.222394665 4 98 0.7849644057 0.284057349
#> 140 140 -0.851489715 -0.818304247 4 48 0.7433468874 0.376358795
#> 141 141 -0.857871799 -0.942726928 4 344 0.6005629119 0.164279664
#> 142 142 -0.477401929 -0.655127938 4 200 0.4291000869 0.652281080
#> 143 143 1.557483086 0.443088671 4 77 0.7392140909 0.094966369
#> 144 144 1.815372980 0.886387887 4 209 0.0692689575 0.919352259
#> 145 145 1.524442763 -0.730091184 4 353 0.0143914390 0.787974729
#> 146 146 1.544988317 0.564323223 4 195 0.9258851523 0.464256115
#> 147 147 -0.243209591 -0.614797222 4 322 0.4012080976 0.911657840
#> 148 148 1.651595744 0.780800225 4 113 0.8638170096 0.705667909
#> 149 149 0.856048621 0.396204351 4 215 0.4232743825 0.036572789
#> 150 150 1.649820503 0.342683388 4 188 0.9272864114 0.851138673
#> 151 151 0.798318025 0.909747633 4 31 0.9665928106 0.039173742
#> 152 152 1.696680994 0.408346513 4 62 0.8907323743 0.910202117
#> 153 153 0.624084830 -0.363250115 4 67 0.8147212425 0.849784532
#> 154 154 -0.330308924 -0.564552969 4 293 0.2747436573 0.077659048
#> 155 155 0.689799271 -0.115997979 4 328 0.9890898515 0.592418375
#> 156 156 -1.120722621 -0.575565636 4 296 0.4074146287 0.555735767
#> 157 157 -0.528273200 -0.538971209 4 326 0.7818000310 0.974763830
#> 158 158 1.449545385 0.769651386 4 25 0.9946772044 0.354708769
#> 159 159 -0.410542476 -0.809514440 4 286 0.6607740109 0.130583674
#> 160 160 1.404867485 0.166149172 4 302 0.9320788356 0.921494617
#> 161 161 0.519127134 0.585067820 5 112 0.6268958270 0.394271074
#> 162 162 -1.825300964 0.127854890 5 87 0.4884970717 0.089599696
#> 163 163 -0.787184409 -0.965791338 5 64 0.3139100047 0.630849940
#> 164 164 1.108701283 -0.248196713 5 396 0.8304538238 0.457870865
#> 165 165 -1.187661836 -0.880598983 5 178 0.5600877900 0.836399828
#> 166 166 -0.092470693 0.655000594 5 69 0.4140270599 0.277998102
#> 167 167 2.008167935 0.997701380 5 150 0.6018844873 0.232006056
#> 168 168 0.168910840 -0.963344671 5 327 0.6103922836 0.049039759
#> 169 169 -0.296907941 -0.107377497 5 7 0.1735868934 0.690290318
#> 170 170 -2.864087017 -0.998032347 5 363 0.1200884571 0.173032850
#> 171 171 0.256174198 -0.010001270 5 130 0.1348774366 0.508352479
#> 172 172 -2.384868097 -0.166201983 5 303 0.8290416847 0.239901979
#> 173 173 -0.995435168 -0.338635044 5 52 0.4939158093 0.793465562
#> 174 174 -1.493053053 -0.226019138 5 376 0.3596807527 0.412571901
#> 175 175 1.108203984 0.476027274 5 147 0.8927934573 0.361324483
#> 176 176 -0.545443710 0.872115163 5 133 0.6819537999 0.302855107
#> 177 177 0.265911883 0.314191863 5 305 0.9165227511 0.474016214
#> 178 178 -0.952861883 -0.505145318 5 261 0.9649039311 0.524626542
#> 179 179 0.896117235 0.100568172 5 158 0.5332239913 0.182254605
#> 180 180 -2.383006898 -0.624413734 5 128 0.9792111870 0.508449503
#> 181 181 -1.389361685 -0.211761709 5 365 0.3323318954 0.097181093
#> 182 182 1.358457409 0.669023131 5 107 0.2154817146 0.479798499
#> 183 183 -0.961952124 -0.133922913 5 225 0.0240620160 0.687086018
#> 184 184 1.041926272 0.826878033 5 211 0.7978894550 0.545458837
#> 185 185 -1.321561641 0.664797682 5 94 0.7013940739 0.987008006
#> 186 186 -0.563980383 -0.825429769 5 92 0.4907197366 0.059412988
#> 187 187 0.266467575 0.151099626 5 86 0.4623022925 0.093786784
#> 188 188 -0.967360496 -0.170675505 5 35 0.8855424714 0.904197242
#> 189 189 0.859762208 -0.482224836 5 142 0.0348902629 0.540477347
#> 190 190 -0.492098124 -0.004209151 5 4 0.4064415519 0.036502767
#> 191 191 -0.743176789 0.113769678 5 210 0.9339335361 0.567178715
#> 192 192 0.963669906 0.261297266 5 196 0.0433393025 0.361270080
#> 193 193 -2.165010642 -0.944545038 5 88 0.7634741226 0.738941455
#> 194 194 0.258447869 0.871103669 5 337 0.0007561028 0.943488713
#> 195 195 0.803120928 0.447897297 5 70 0.8769502372 0.944390317
#> 196 196 -0.524155446 -0.339788286 5 258 0.9710542024 0.352761335
#> 197 197 -1.200919909 -0.801598579 5 312 0.8565913490 0.472223926
#> 198 198 0.254352862 -0.944516992 5 399 0.1708551219 0.067844552
#> 199 199 0.765058198 0.908281458 5 348 0.7881691849 0.135974378
#> 200 200 -2.253554903 -0.686025306 5 17 0.4256445935 0.519498941
#> 201 201 -0.869050286 -0.596998277 6 152 0.0746116666 0.526897392
#> 202 202 -0.249531780 0.773390971 6 173 0.8715420759 0.525352726
#> 203 203 -1.796526905 -0.376730846 6 316 0.5297889214 0.294933456
#> 204 204 1.955193954 -0.476182568 6 182 0.8203481897 0.501623115
#> 205 205 -2.304632818 -0.616903882 6 102 0.0403949816 0.905442119
#> 206 206 2.094994792 0.417997098 6 227 0.0589484244 0.876560538
#> 207 207 -1.788460971 -0.723583890 6 233 0.3571543801 0.042671870
#> 208 208 -0.662958187 0.288413061 6 275 0.6524259590 0.735531558
#> 209 209 0.958197264 0.649709915 6 198 0.6690538072 0.568905419
#> 210 210 -1.184522004 -0.995503846 6 372 0.3550409749 0.501811203
#> 211 211 0.813413816 0.215779537 6 63 0.3029600766 0.119257634
#> 212 212 -1.244372171 -0.958841160 6 186 0.9099525826 0.296389127
#> 213 213 1.319693226 0.902536706 6 82 0.3281044089 0.939417383
#> 214 214 1.309628821 -0.532902431 6 290 0.6778244276 0.421979164
#> 215 215 -0.421231267 -0.109262889 6 393 0.3149351811 0.761482615
#> 216 216 -1.148534804 -0.393688746 6 73 0.8470406765 0.596407099
#> 217 217 0.344142266 -0.467559673 6 272 0.3241487909 0.998956996
#> 218 218 0.588921516 -0.351884878 6 368 0.7749177259 0.236350436
#> 219 219 -0.287796808 -0.433022499 6 167 0.8814295777 0.634727956
#> 220 220 1.578706174 0.518717063 6 191 0.6497371541 0.037603148
#> 221 221 -0.289911916 -0.069129535 6 40 0.2048701397 0.558204914
#> 222 222 0.123609982 0.105440975 6 15 0.8278471462 0.212364009
#> 223 223 3.193516642 0.819289433 6 319 0.1834513464 0.839129434
#> 224 224 0.376047938 -0.866703800 6 10 0.4342292822 0.148996643
#> 225 225 1.916949111 0.658803734 6 100 0.8003570007 0.727132189
#> 226 226 0.959646714 -0.007517149 6 36 0.4949192053 0.376044564
#> 227 227 1.397753423 -0.644130967 6 346 0.9909055380 0.434116191
#> 228 228 0.201541175 -0.072684689 6 389 0.0007117309 0.107804443
#> 229 229 -0.675592079 -0.591048978 6 364 0.8936565206 0.870067135
#> 230 230 2.561367050 0.130177413 6 80 0.0544916503 0.838938408
#> 231 231 -0.170951832 0.480937447 6 333 0.0086198468 0.455551838
#> 232 232 -0.032529634 -0.204415562 6 310 0.0118987996 0.249859461
#> 233 233 2.242486093 0.794228725 6 54 0.4239727925 0.459395551
#> 234 234 0.248969818 0.596754089 6 243 0.2183043805 0.154486031
#> 235 235 1.016752866 -0.500472558 6 228 0.9367464832 0.749119846
#> 236 236 1.410938215 0.443737371 6 301 0.0347442364 0.857446054
#> 237 237 -1.284870470 -0.655980721 6 50 0.9826498989 0.625576769
#> 238 238 1.361472585 0.840491788 6 151 0.5503400690 0.932676221
#> 239 239 1.762629243 0.714933339 6 207 0.6383444977 0.581198495
#> 240 240 1.198307505 0.472076948 6 57 0.2508698420 0.802358792
#> 241 241 0.761188264 -0.070478810 7 42 0.9385790017 0.076155127
#> 242 242 3.035128032 0.588789138 7 56 0.3947585761 0.084956026
#> 243 243 1.142750501 0.099837913 7 282 0.5042736062 0.003450950
#> 244 244 -0.142575111 0.566368360 7 362 0.6513980036 0.930537958
#> 245 245 1.200978938 0.880793325 7 123 0.2648633441 0.012627860
#> 246 246 -0.255225739 -0.148170089 7 39 0.2517170480 0.931809687
#> 247 247 1.073627144 -0.380664142 7 194 0.6706898389 0.998669140
#> 248 248 1.000549602 0.626722166 7 242 0.8354686880 0.317953231
#> 249 249 -0.879977091 0.207529356 7 217 0.4292012476 0.487714021
#> 250 250 1.171802111 0.306594301 7 51 0.5420114568 0.981610174
#> 251 251 1.584444836 0.499775260 7 79 0.3838187612 0.153268290
#> 252 252 1.599774511 0.685791955 7 216 0.8123786205 0.842121985
#> 253 253 1.944555475 0.939225290 7 120 0.0659450314 0.809027395
#> 254 254 0.189839334 0.293304543 7 329 0.8530361773 0.934468992
#> 255 255 -0.794334623 -0.131593227 7 169 0.1957889411 0.912281813
#> 256 256 2.150827042 0.566628090 7 84 0.3958839674 0.432004581
#> 257 257 0.679798689 0.168932558 7 250 0.5909386529 0.066844112
#> 258 258 2.659691233 0.915344078 7 315 0.0352015318 0.084919903
#> 259 259 1.727231740 -0.603963681 7 175 0.5996681692 0.516100925
#> 260 260 1.033871069 -0.123935902 7 171 0.3035430140 0.217629221
#> 261 261 0.293927492 -0.046195230 7 22 0.7768933750 0.950672002
#> 262 262 2.280777152 0.142522643 7 104 0.8227615599 0.379954166
#> 263 263 1.131884502 -0.129132079 7 9 0.2181153940 0.879416939
#> 264 264 1.024036223 -0.693218791 7 26 0.3312346758 0.954617281
#> 265 265 0.855131004 -0.673982560 7 294 0.0250837402 0.762414565
#> 266 266 2.414629468 0.974079959 7 99 0.3184679409 0.323414802
#> 267 267 0.592938115 -0.195979325 7 266 0.1380555171 0.113325415
#> 268 268 -0.876392747 -0.695210736 7 383 0.4126875571 0.752073208
#> 269 269 -0.777175197 -0.725282876 7 335 0.5214464844 0.528748905
#> 270 270 -0.352944338 0.092406954 7 370 0.8395378448 0.385793249
#> 271 271 2.370067857 0.710259343 7 177 0.4401338426 0.780096726
#> 272 272 2.176435431 0.773094922 7 229 0.5684020126 0.422823112
#> 273 273 -1.093731162 -0.582128343 7 19 0.0067544556 0.375894772
#> 274 274 1.716047337 -0.116085320 7 263 0.3239694468 0.597126808
#> 275 275 0.694565766 0.520989181 7 214 0.3848383490 0.038154854
#> 276 276 1.341924743 0.989827243 7 256 0.1210333002 0.805239566
#> 277 277 -0.664572737 -0.957442741 7 202 0.6370706942 0.588558971
#> 278 278 -1.643531062 -0.829214779 7 360 0.5086050867 0.428821323
#> 279 279 -0.806638623 -0.140540076 7 170 0.6810579787 0.637150795
#> 280 280 -0.001940975 0.678764221 7 55 0.5310304766 0.971313879
#> 281 281 0.501089537 0.626293114 8 44 0.1762597484 0.246217299
#> 282 282 1.419972959 0.293401477 8 24 0.1648884320 0.111512685
#> 283 283 1.191038782 -0.061997409 8 91 0.6005599587 0.736867381
#> 284 284 0.930146399 -0.195967562 8 204 0.0234992881 0.504208659
#> 285 285 1.157372840 -0.355026335 8 157 0.3149379974 0.675593102
#> 286 286 0.174843881 -0.770917934 8 239 0.3457643015 0.130142915
#> 287 287 -0.602278129 0.835779173 8 252 0.3858252838 0.468560646
#> 288 288 1.926157481 0.053551445 8 72 0.1994889320 0.418262406
#> 289 289 -1.113759051 -0.955531065 8 338 0.9060354524 0.289531148
#> 290 290 -0.061503115 -0.636652398 8 285 0.0355368722 0.199115742
#> 291 291 0.272830678 -0.079324231 8 109 0.2011562539 0.225031395
#> 292 292 -1.626802828 0.360301339 8 270 0.9567877583 0.241878676
#> 293 293 2.126458075 0.665106067 8 271 0.1699466466 0.160569650
#> 294 294 -0.440735426 -0.356584595 8 223 0.6247458488 0.426379402
#> 295 295 0.126263176 0.334784090 8 357 0.4035898352 0.570418389
#> 296 296 0.416731500 0.731899420 8 3 0.9574850150 0.871885125
#> 297 297 -0.511107599 -0.258482287 8 143 0.7467658769 0.606792737
#> 298 298 0.344330940 -0.899413112 8 23 0.3831945832 0.475812171
#> 299 299 0.513975824 0.426257576 8 317 0.3467388768 0.152784222
#> 300 300 1.029149266 0.256182638 8 129 0.6847570601 0.592355313
#> 301 301 0.898513327 -0.345443704 8 390 0.7128933761 0.419665786
#> 302 302 0.682566607 0.835777699 8 369 0.9444579014 0.370271030
#> 303 303 -1.836619752 -0.642657519 8 159 0.2159492860 0.547669446
#> 304 304 0.217352992 -0.351168514 8 30 0.4601895032 0.445796303
#> 305 305 -0.304415150 -0.653665836 8 398 0.1980771678 0.750450886
#> 306 306 -0.816634553 -0.965488025 8 299 0.4339517846 0.419824829
#> 307 307 0.628359101 0.461867115 8 138 0.7221916451 0.257341280
#> 308 308 0.291316878 0.019569458 8 205 0.5159884810 0.243579495
#> 309 309 -1.163807552 -0.904558189 8 291 0.3957273492 0.421440534
#> 310 310 1.593950994 0.247445689 8 174 0.2951750436 0.859368495
#> 311 311 -0.898787846 -0.920053646 8 148 0.9168157266 0.985117212
#> 312 312 -2.753232130 -0.636507772 8 236 0.7734569132 0.064516844
#> 313 313 -0.992771738 -0.150473190 8 103 0.9146826363 0.203816584
#> 314 314 -1.277676905 -0.730859746 8 16 0.3945150133 0.866077649
#> 315 315 0.525825783 0.020078831 8 309 0.0130878875 0.191526664
#> 316 316 1.606788983 0.424471017 8 134 0.8538571009 0.720902232
#> 317 317 0.672303878 0.905264213 8 168 0.2254747213 0.999218370
#> 318 318 -1.940491979 -0.947448283 8 12 0.7233123214 0.148458245
#> 319 319 -1.333387946 -0.370105023 8 140 0.4708214027 0.869933564
#> 320 320 -0.775118676 -0.549991595 8 108 0.6746713291 0.330180740
#> 321 321 0.139977828 -0.552775597 9 331 0.5743062971 0.293533648
#> 322 322 -0.573764391 -0.975013854 9 356 0.2703188362 0.336850858
#> 323 323 -2.098756034 -0.663795932 9 241 0.9073182242 0.684302384
#> 324 324 -2.484358939 0.070558406 9 60 0.5740233269 0.204811290
#> 325 325 -0.915448297 -0.013742636 9 297 0.0715641477 0.071416241
#> 326 326 -0.815815802 -0.038885823 9 71 0.3664450003 0.831749882
#> 327 327 0.655358940 -0.791871699 9 144 0.9621285498 0.365492704
#> 328 328 -1.293743441 0.336280087 9 254 0.5076508266 0.580478035
#> 329 329 -2.105991812 -0.847326239 9 248 0.1760170474 0.672763660
#> 330 330 2.651423205 0.791892537 9 126 0.4130967157 0.808655720
#> 331 331 -0.328385557 -0.346808270 9 279 0.0863709708 0.137669996
#> 332 332 -1.893022244 -0.880672486 9 8 0.3621975463 0.356843828
#> 333 333 0.914731168 0.752225413 9 397 0.7454453390 0.219503418
#> 334 334 -0.257928023 0.555921542 9 340 0.5007055018 0.048260814
#> 335 335 0.718157946 0.852643907 9 43 0.9123936971 0.371111412
#> 336 336 0.346015744 0.015789273 9 66 0.6057276626 0.384571519
#> 337 337 -0.306372355 -0.626223114 9 116 0.1018760023 0.298105381
#> 338 338 -2.344641618 0.179448814 9 245 0.1498856130 0.923687200
#> 339 339 0.516390266 -0.101984783 9 347 0.8773038771 0.985663789
#> 340 340 0.247224698 0.991630350 9 307 0.6691823979 0.408357668
#> 341 341 -0.592774630 0.435971763 9 28 0.8956345357 0.912412462
#> 342 342 0.502205608 0.586630029 9 193 0.4754892031 0.100601788
#> 343 343 -1.642920130 -0.400226515 9 141 0.1763379828 0.216532885
#> 344 344 -2.139900119 -0.665571791 9 118 0.4363539170 0.414111615
#> 345 345 -1.306750335 -0.271480158 9 114 0.4020062166 0.101253037
#> 346 346 0.961005671 -0.114980389 9 68 0.5933858398 0.698075444
#> 347 347 -1.434254447 -0.514828823 9 221 0.6380510051 0.571851234
#> 348 348 -0.879719861 -0.433049154 9 154 0.8603101852 0.966077926
#> 349 349 -2.006008762 -0.945904984 9 382 0.5539734086 0.578011706
#> 350 350 -0.784151847 -0.417964580 9 283 0.3712643364 0.547667031
#> 351 351 -0.973803513 -0.938706669 9 163 0.7705385189 0.201261052
#> 352 352 -1.693916925 -0.463337676 9 220 0.4813501777 0.089412105
#> 353 353 0.318737607 -0.318368613 9 75 0.7909977345 0.683473408
#> 354 354 -0.079332182 0.985572545 9 96 0.9581821985 0.610630276
#> 355 355 0.489912210 0.931363452 9 101 0.5547369586 0.188741874
#> 356 356 0.811854718 -0.085883103 9 49 0.1442698613 0.324946448
#> 357 357 -0.273799597 0.774373414 9 93 0.8278123417 0.687856248
#> 358 358 -1.677080885 -0.262683162 9 185 0.7461384258 0.129721228
#> 359 359 -0.359814889 -0.169903189 9 273 0.7266917303 0.396187339
#> 360 360 -2.071177848 -0.840631911 9 268 0.4925885873 0.062281129
#> 361 361 -1.161840347 -0.658925437 10 199 0.7105250026 0.429127793
#> 362 362 -1.187739978 -0.630920597 10 74 0.4011201179 0.071653834
#> 363 363 0.622644782 -0.434001678 10 240 0.2562348358 0.975697161
#> 364 364 0.253230267 0.163317022 10 278 0.9137819896 0.971905573
#> 365 365 -1.343249275 -0.973849171 10 47 0.0902573087 0.681445092
#> 366 366 0.352849945 0.690525686 10 172 0.6310499329 0.808498665
#> 367 367 0.370708269 0.982151699 10 164 0.3475530345 0.180541635
#> 368 368 -0.781360928 0.165351855 10 161 0.1881904083 0.553411206
#> 369 369 -1.971158609 -0.086677564 10 187 0.9155875829 0.780343705
#> 370 370 0.193329216 -0.361998796 10 385 0.5332597671 0.013275497
#> 371 371 1.207195074 0.653963665 10 41 0.4400019113 0.938358893
#> 372 372 1.420607197 -0.237132861 10 21 0.1634132315 0.287364732
#> 373 373 -1.392833932 -0.653892901 10 380 0.4005637090 0.800806402
#> 374 374 -0.572060207 -0.010381694 10 235 0.1849570570 0.545265866
#> 375 375 -0.268078318 0.285514682 10 308 0.3109369653 0.004532797
#> 376 376 -2.104488742 -0.362533828 10 246 0.7203202914 0.653262451
#> 377 377 -0.112724631 0.268937827 10 34 0.1809448993 0.436170359
#> 378 378 -0.626752941 -0.793116899 10 255 0.0861812267 0.291525771
#> 379 379 0.338043911 0.099278114 10 359 0.1521985766 0.026132820
#> 380 380 -1.823747994 -0.021006637 10 320 0.1954569910 0.295505514
#> 381 381 -0.973981166 -0.800530941 10 281 0.9853376027 0.313746765
#> 382 382 0.523842593 0.420533745 10 156 0.9160955620 0.428380639
#> 383 383 0.192816390 0.023787255 10 287 0.0520355834 0.708813617
#> 384 384 1.215200294 0.034454790 10 29 0.8783591778 0.685625584
#> 385 385 -0.071231752 0.734776264 10 232 0.7241801426 0.605277329
#> 386 386 -2.307303227 -0.375861057 10 264 0.0816655143 0.502631339
#> 387 387 -0.994605370 -0.611225994 10 219 0.6227097560 0.441874791
#> 388 388 -1.265388408 0.243493752 10 371 0.8108554257 0.851116939
#> 389 389 -0.272252580 -0.827467784 10 374 0.2320992460 0.114192801
#> 390 390 -2.123083178 -0.643193240 10 251 0.8151882249 0.966061264
#> 391 391 -1.177018195 -0.025866095 10 124 0.5304076574 0.424626237
#> 392 392 0.901844329 0.933703282 10 384 0.7332674304 0.108516917
#> 393 393 1.038513160 0.801850187 10 153 0.8203983726 0.026058896
#> 394 394 -2.109674427 -0.333482341 10 38 0.2671785173 0.665690637
#> 395 395 0.148554240 -0.562439791 10 345 0.7193723910 0.389080962
#> 396 396 -1.509224469 -0.781198298 10 304 0.6439955893 0.266524403
#> 397 397 -1.561272511 0.374536184 10 260 0.1390712184 0.162905820
#> 398 398 -2.248821101 -0.656134952 10 373 0.1129728805 0.703289558
#> 399 399 0.071090133 -0.068608861 10 352 0.1978628302 0.682523036
#> 400 400 -4.134212708 -0.593625854 10 2 0.3641577691 0.064816444
#> expectedMean
#> 1 0.520389976
#> 2 0.578870516
#> 3 0.867683907
#> 4 0.538697435
#> 5 0.866483037
#> 6 -0.283405386
#> 7 0.057235548
#> 8 -0.537580277
#> 9 -0.111179302
#> 10 -0.817377083
#> 11 1.000052646
#> 12 -0.829945429
#> 13 1.010324056
#> 14 -0.635406634
#> 15 -0.434688907
#> 16 -0.670722738
#> 17 0.381452855
#> 18 0.368463937
#> 19 0.502244608
#> 20 -0.226824168
#> 21 -0.061729248
#> 22 -0.754698684
#> 23 0.699730607
#> 24 0.133343157
#> 25 0.913409892
#> 26 0.166370983
#> 27 0.074670579
#> 28 1.068673156
#> 29 1.120429187
#> 30 0.007132384
#> 31 0.837177469
#> 32 1.025221975
#> 33 0.554583085
#> 34 -0.865191833
#> 35 -0.838016173
#> 36 -0.513601004
#> 37 1.024046619
#> 38 -0.428446036
#> 39 0.171967256
#> 40 0.022268233
#> 41 -0.784706853
#> 42 -0.896531563
#> 43 -0.079178689
#> 44 -1.361956771
#> 45 -0.654572086
#> 46 -1.097838940
#> 47 -1.019884449
#> 48 -0.675090284
#> 49 -1.972622428
#> 50 -1.706819365
#> 51 -1.462839398
#> 52 -0.640653896
#> 53 -1.863302599
#> 54 -0.562331049
#> 55 -0.999891292
#> 56 -1.131170500
#> 57 -0.491283794
#> 58 -0.846204951
#> 59 -0.042088011
#> 60 -1.431741389
#> 61 -1.750609030
#> 62 -1.821808328
#> 63 -0.452942677
#> 64 -1.739534366
#> 65 -0.722379965
#> 66 -1.921154656
#> 67 -0.213374568
#> 68 -1.140042760
#> 69 -1.929833710
#> 70 -0.844918233
#> 71 -1.647128182
#> 72 -1.517138951
#> 73 -0.753391360
#> 74 -1.803749208
#> 75 -1.801845436
#> 76 -1.657511085
#> 77 -0.306995837
#> 78 -0.145439992
#> 79 -1.970580269
#> 80 -1.265440649
#> 81 0.618832511
#> 82 -0.295255087
#> 83 -0.616470175
#> 84 0.705386538
#> 85 0.374942616
#> 86 0.112522159
#> 87 -0.889802394
#> 88 -1.006129362
#> 89 0.393766228
#> 90 -1.094502489
#> 91 -0.017994716
#> 92 -0.234492114
#> 93 0.606631102
#> 94 0.122585891
#> 95 -0.865315494
#> 96 -0.572916078
#> 97 -0.606917393
#> 98 0.603622664
#> 99 -1.278558673
#> 100 0.306647080
#> 101 -1.170454541
#> 102 0.255380149
#> 103 0.630110283
#> 104 0.153899687
#> 105 0.227573612
#> 106 -0.813573835
#> 107 0.449577281
#> 108 -1.008438860
#> 109 -0.295945507
#> 110 -1.128565344
#> 111 -0.613634314
#> 112 -0.455913999
#> 113 -0.893825546
#> 114 -0.224728202
#> 115 -0.201752239
#> 116 -0.202842353
#> 117 0.148724474
#> 118 0.342736329
#> 119 0.616938448
#> 120 -0.400450356
#> 121 0.260790875
#> 122 0.590931410
#> 123 0.726468148
#> 124 0.813001078
#> 125 1.645593233
#> 126 1.310429024
#> 127 0.504739052
#> 128 1.278711867
#> 129 1.573244891
#> 130 1.568716077
#> 131 0.345703921
#> 132 1.097676706
#> 133 0.666644120
#> 134 0.922769316
#> 135 1.201883508
#> 136 1.152133246
#> 137 0.821200340
#> 138 1.603224150
#> 139 0.943798616
#> 140 -0.096900296
#> 141 -0.221322977
#> 142 0.066276012
#> 143 1.164492622
#> 144 1.607791838
#> 145 -0.008687234
#> 146 1.285727174
#> 147 0.106606728
#> 148 1.502204176
#> 149 1.117608301
#> 150 1.064087339
#> 151 1.631151584
#> 152 1.129750464
#> 153 0.358153835
#> 154 0.156850982
#> 155 0.605405972
#> 156 0.145838315
#> 157 0.182432742
#> 158 1.491055337
#> 159 -0.088110489
#> 160 0.887553123
#> 161 0.430861061
#> 162 -0.026351870
#> 163 -1.119998097
#> 164 -0.402403472
#> 165 -1.034805742
#> 166 0.500793834
#> 167 0.843494621
#> 168 -1.117551430
#> 169 -0.261584257
#> 170 -1.152239106
#> 171 -0.164208029
#> 172 -0.320408743
#> 173 -0.492841804
#> 174 -0.380225898
#> 175 0.321820514
#> 176 0.717908404
#> 177 0.159985104
#> 178 -0.659352078
#> 179 -0.053638588
#> 180 -0.778620494
#> 181 -0.365968468
#> 182 0.514816372
#> 183 -0.288129673
#> 184 0.672671273
#> 185 0.510590923
#> 186 -0.979636528
#> 187 -0.003107133
#> 188 -0.324882265
#> 189 -0.636431595
#> 190 -0.158415911
#> 191 -0.040437082
#> 192 0.107090507
#> 193 -1.098751797
#> 194 0.716896909
#> 195 0.293690537
#> 196 -0.493995045
#> 197 -0.955805339
#> 198 -1.098723752
#> 199 0.754074698
#> 200 -0.840232065
#> 201 -0.118755434
#> 202 1.251633814
#> 203 0.101511997
#> 204 0.002060275
#> 205 -0.138661038
#> 206 0.896239941
#> 207 -0.245341046
#> 208 0.766655905
#> 209 1.127952758
#> 210 -0.517261003
#> 211 0.694022381
#> 212 -0.480598317
#> 213 1.380779549
#> 214 -0.054659587
#> 215 0.368979954
#> 216 0.084554098
#> 217 0.010683170
#> 218 0.126357965
#> 219 0.045220345
#> 220 0.996959906
#> 221 0.409113309
#> 222 0.583683819
#> 223 1.297532276
#> 224 -0.388460957
#> 225 1.137046577
#> 226 0.470725695
#> 227 -0.165888124
#> 228 0.405558154
#> 229 -0.112806134
#> 230 0.608420256
#> 231 0.959180291
#> 232 0.273827281
#> 233 1.272471568
#> 234 1.074996932
#> 235 -0.022229714
#> 236 0.921980214
#> 237 -0.177737877
#> 238 1.318734632
#> 239 1.193176182
#> 240 0.950319792
#> 241 0.949399919
#> 242 1.608667867
#> 243 1.119716642
#> 244 1.586247089
#> 245 1.900672053
#> 246 0.871708640
#> 247 0.639214586
#> 248 1.646600895
#> 249 1.227408085
#> 250 1.326473030
#> 251 1.519653989
#> 252 1.705670684
#> 253 1.959104018
#> 254 1.313183272
#> 255 0.888285502
#> 256 1.586506819
#> 257 1.188811286
#> 258 1.935222806
#> 259 0.415915048
#> 260 0.895942826
#> 261 0.973683499
#> 262 1.162401372
#> 263 0.890746649
#> 264 0.326659938
#> 265 0.345896169
#> 266 1.993958688
#> 267 0.823899404
#> 268 0.324667993
#> 269 0.294595853
#> 270 1.112285682
#> 271 1.730138072
#> 272 1.792973651
#> 273 0.437750386
#> 274 0.903793409
#> 275 1.540867910
#> 276 2.009705971
#> 277 0.062435988
#> 278 0.190663950
#> 279 0.879338652
#> 280 1.698642950
#> 281 0.643887956
#> 282 0.310996319
#> 283 -0.044402568
#> 284 -0.178372720
#> 285 -0.337431494
#> 286 -0.753323093
#> 287 0.853374015
#> 288 0.071146286
#> 289 -0.937936224
#> 290 -0.619057557
#> 291 -0.061729389
#> 292 0.377896180
#> 293 0.682700908
#> 294 -0.338989753
#> 295 0.352378931
#> 296 0.749494261
#> 297 -0.240887445
#> 298 -0.881818271
#> 299 0.443852418
#> 300 0.273777479
#> 301 -0.327848863
#> 302 0.853372540
#> 303 -0.625062678
#> 304 -0.333573673
#> 305 -0.636070995
#> 306 -0.947893184
#> 307 0.479461956
#> 308 0.037164299
#> 309 -0.886963348
#> 310 0.265040530
#> 311 -0.902458805
#> 312 -0.618912931
#> 313 -0.132878349
#> 314 -0.713264905
#> 315 0.037673672
#> 316 0.442065859
#> 317 0.922859054
#> 318 -0.929853442
#> 319 -0.352510182
#> 320 -0.532396753
#> 321 -0.865807816
#> 322 -1.288046074
#> 323 -0.976828151
#> 324 -0.242473813
#> 325 -0.326774855
#> 326 -0.351918043
#> 327 -1.104903918
#> 328 0.023247868
#> 329 -1.160358458
#> 330 0.478860318
#> 331 -0.659840489
#> 332 -1.193704705
#> 333 0.439193194
#> 334 0.242889323
#> 335 0.539611687
#> 336 -0.297242946
#> 337 -0.939255333
#> 338 -0.133583405
#> 339 -0.415017002
#> 340 0.678598131
#> 341 0.122939543
#> 342 0.273597810
#> 343 -0.713258734
#> 344 -0.978604010
#> 345 -0.584512377
#> 346 -0.428012608
#> 347 -0.827861042
#> 348 -0.746081373
#> 349 -1.258937203
#> 350 -0.730996800
#> 351 -1.251738888
#> 352 -0.776369895
#> 353 -0.631400832
#> 354 0.672540326
#> 355 0.618331233
#> 356 -0.398915322
#> 357 0.461341195
#> 358 -0.575715382
#> 359 -0.482935409
#> 360 -1.153664130
#> 361 -1.100820838
#> 362 -1.072815998
#> 363 -0.875897079
#> 364 -0.278578379
#> 365 -1.415744572
#> 366 0.248630285
#> 367 0.540256298
#> 368 -0.276543546
#> 369 -0.528572965
#> 370 -0.803894197
#> 371 0.212068264
#> 372 -0.679028262
#> 373 -1.095788302
#> 374 -0.452277095
#> 375 -0.156380719
#> 376 -0.804429229
#> 377 -0.172957574
#> 378 -1.235012300
#> 379 -0.342617287
#> 380 -0.462902038
#> 381 -1.242426342
#> 382 -0.021361656
#> 383 -0.418108146
#> 384 -0.407440611
#> 385 0.292880863
#> 386 -0.817756458
#> 387 -1.053121395
#> 388 -0.198401649
#> 389 -1.269363185
#> 390 -1.085088641
#> 391 -0.467761496
#> 392 0.491807881
#> 393 0.359954786
#> 394 -0.775377742
#> 395 -1.004335192
#> 396 -1.223093699
#> 397 -0.067359217
#> 398 -1.098030353
#> 399 -0.510504262
#> 400 -1.035521255