The 'dlmtree' function accommodates various response variable types, including continuous, binary, and zero-inflated count values. The function is designed to handle both single exposure and exposure mixtures. For a single exposure, users are offered options to model non-linear effects (tdlnm), linear effects (tdlm), or heterogeneous subgroup/individualized effects (hdlm). In the case of exposure mixtures, the function supports lagged interactions (tdlmm), and heterogeneous subgroup/individualized effects (hdlmm) allowing for a comprehensive exploration of mixture exposure heterogeneity. Additionally, users can fine-tune parameters to impose effect shrinkage and perform exposure selection, enhancing the adaptability and precision of the modeling process. For more detailed documentation, visit: dlmtree website.
Usage
dlmtree(
formula,
data,
exposure.data,
dlm.type = "linear",
family = "gaussian",
mixture = FALSE,
het = FALSE,
control.mcmc = list(),
control.hyper = list(),
control.family = list(),
control.tdlnm = list(),
control.het = list(),
control.mix = list(),
control.monotone = list(),
control.diagnose = list()
)Arguments
- formula
object of class formula, a symbolic description of the fixed effect model to be fitted, e.g. y ~ a + b.
- data
data frame containing variables used in the formula.
- exposure.data
numerical matrix of exposure data with same length as data, for a mixture setting (tdlmm, hdlmm): named list containing equally sized numerical matrices of exposure data having same length as data.
- dlm.type
dlm model specification: "linear" (default), "nonlinear", "monotone".
- family
'gaussian' for continuous response, 'logit' for binomial, 'zinb' for zero-inflated negative binomial.
- mixture
flag for mixture, set to TRUE for tdlmm and hdlmm (default: FALSE).
- het
flag for heterogeneity, set to TRUE for hdlm and hdlmm (default: FALSE).
- control.mcmc
list of MCMC control parameters. This is passed to dlmtree.control.mcmc.
- control.hyper
list of hyperparameter control parameters. This is passed to dlmtree.control.hyper
- control.family
list of family control parameters. This is passed to dlmtree.control.family
- control.tdlnm
list of TDLNM control parameters. This is passed to dlmtree.control.tdlnm
- control.het
list of control parameters for heterogeneous models. This is passed to dlmtree.control.het
- control.mix
list of mixture control parameters. This is passed to dlmtree.control.mix
- control.monotone
list of control parameters for monotone model. This is passed to dlmtree.control.monotone
- control.diagnose
list of control parameters for diagnostics. This is passed to dlmtree.control.diagnose
Details
dlmtree
Model is recommended to be run for at minimum 5000 burn-in iterations followed by 15000 sampling iterations with a thinning factor of 5. Convergence can be checked by re-running the model and validating consistency of results. Examples are provided below for the syntax for running different types of models. For more examples, visit: dlmtree website.
Examples
# \donttest{
# The first three examples are for one lagged exposure
# treed distributed lag model (TDLM)
# binary outcome with logit link
D <- sim.tdlmm(sim = "A", mean.p = 0.5, n = 1000)
tdlm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures[[1]],
dlm.type = "linear",
family = "logit",
control.family = list(binomial.size = 1))
#> Preparing data...
#>
#> Running TDLM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 2 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlm.sum <- summary(tdlm.fit)
tdlm.sum
#> $ctr
#> $ctr$class
#> [1] "tdlm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "logit"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] 0.2277845
#>
#> $rse
#> [1] 0
#>
#> $n
#> [1] 1000
#>
#> $matfit
#> [1] -0.0129773671 -0.0195172591 -0.0257065131 -0.0014880867 0.0096309477
#> [6] 0.0098511003 0.0112299769 0.0098982353 0.0100912172 0.0051985652
#> [11] -0.0009542548 -0.0058999652 -0.0054272635 0.0023190446 0.0053214291
#> [16] 0.0141862264 0.0190082192 0.0242891769 0.0356305426 0.0613072849
#> [21] 0.0750675280 0.0763342327 0.0916890889 0.0936825355 0.0870251013
#> [26] 0.0817397072 0.0858949156 0.0528798169 0.0349088361 0.0309810166
#> [31] 0.0329892652 0.0316775384 0.0347244490 0.0337391381 0.0320973978
#> [36] 0.0028459725 -0.0097581056
#>
#> $cilower
#> [1] -0.0787075082 -0.0957816225 -0.1107283388 -0.0517938569 -0.0283548665
#> [6] -0.0253152388 -0.0252724409 -0.0252794791 -0.0253080912 -0.0413213788
#> [11] -0.0480942592 -0.0553796118 -0.0506228101 -0.0440562673 -0.0418124722
#> [16] -0.0323787672 -0.0226917113 -0.0286437712 -0.0299117896 0.0006830607
#> [21] 0.0183962021 0.0125286833 0.0474262257 0.0462105016 0.0435999221
#> [26] 0.0329179248 0.0246653267 -0.0170238196 -0.0181752031 -0.0158757149
#> [31] -0.0142720308 -0.0152353609 -0.0086989702 -0.0132897771 -0.0168995758
#> [36] -0.0766586742 -0.1148741681
#>
#> $ciupper
#> [1] 0.04794683 0.03829897 0.02162530 0.06274904 0.08082471 0.05581406
#> [7] 0.05430553 0.04891436 0.06576911 0.05803013 0.04888396 0.02888697
#> [13] 0.02926855 0.05174469 0.05475244 0.06148689 0.06590309 0.07487275
#> [19] 0.09693707 0.12089131 0.12016975 0.12297144 0.14871602 0.15646136
#> [25] 0.13512076 0.13395687 0.19968058 0.12247259 0.08014373 0.07190489
#> [31] 0.07987818 0.07042084 0.08546838 0.09367281 0.09650383 0.05999237
#> [37] 0.05724486
#>
#> $cumulative.effect
#> mean 2.5% 97.5%
#> 1.0145097 0.5705005 1.4193327
#>
#> $formula
#> y ~ .
#> <environment: 0x55c8966ee5d8>
#>
#> $gamma.mean
#> (Intercept) c1 c2 c3 c4 c5
#> -0.21283720 0.08058923 0.08588837 -0.12803925 0.06008876 -0.15456108
#> b1 b2 b3 b4 b5
#> -0.01793476 -0.06148004 0.05646239 0.11070588 0.33648527
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5
#> 2.5% -0.5635233 -0.04057965 -0.04344416 -0.24093441 -0.08762332 -0.28630764
#> 97.5% 0.1214037 0.19955807 0.19016043 0.01833177 0.21678610 -0.03550929
#> b1 b2 b3 b4 b5
#> 2.5% -0.2756356 -0.3150972 -0.1761371 -0.1705709 0.08491082
#> 97.5% 0.2299728 0.1986392 0.3121603 0.3932120 0.57131647
#>
#> attr(,"class")
#> [1] "summary.tdlm"
# plot results
plot(tdlm.sum)
# Treed distributed lag nonlinear model (TDLNM)
# Gaussian regression model
D <- sim.tdlnm(sim = "A", error.to.signal = 1)
tdlnm.fit <- dlmtree(formula = y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "nonlinear",
family = "gaussian")
#> Preparing data...
#>
#> Running TDLNM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 0 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlnm.sum <- summary(tdlnm.fit)
#> Centered DLNM at exposure value 0
tdlnm.sum
#> $ctr
#> $ctr$class
#> [1] "tdlnm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] 0.8536726
#>
#> $rse
#> [1] 0.1352062
#>
#> $n
#> [1] 926
#>
#> $plot.dat
#> Tmin Tmax Xmin Xmax PredVal Est SD CIMin
#> 1 0 1 1.062245 1.699981 1.648694 0.0518004800 0.04726062 -0.0256655879
#> 2 0 1 1.699981 1.775368 1.751268 0.0807587342 0.06817930 -0.0361622861
#> 3 0 1 1.775368 1.835269 1.799468 0.0927685252 0.07594699 -0.0506174290
#> 4 0 1 1.835269 1.892682 1.871069 0.1064633946 0.08448505 -0.0618944534
#> 5 0 1 1.892682 1.933662 1.914296 0.1117665008 0.08801023 -0.0638669599
#> 6 0 1 1.933662 1.972404 1.953028 0.1144872669 0.09021787 -0.0700069985
#> 7 0 1 1.972404 2.008396 1.991781 0.1153564438 0.09159507 -0.0731650822
#> 8 0 1 2.008396 2.041395 2.025010 0.1147888006 0.09219140 -0.0785492425
#> 9 0 1 2.041395 2.076143 2.057780 0.1132729177 0.09236068 -0.0955950144
#> 10 0 1 2.076143 2.117286 2.094506 0.1107997920 0.09223040 -0.1067492590
#> 11 0 1 2.117286 2.163326 2.140066 0.1072572016 0.09190812 -0.1059699776
#> 12 0 1 2.163326 2.205605 2.186586 0.1039201760 0.09170923 -0.1123083987
#> 13 0 1 2.205605 2.246900 2.224624 0.1018987933 0.09176247 -0.1136103689
#> 14 0 1 2.246900 2.293677 2.269176 0.1006634303 0.09207222 -0.1091795554
#> 15 0 1 2.293677 2.343877 2.318177 0.1007927539 0.09262895 -0.1010574235
#> 16 0 1 2.343877 2.403865 2.369576 0.1023742310 0.09332007 -0.0925804363
#> 17 0 1 2.403865 2.496138 2.438154 0.1060436006 0.09422714 -0.1090148487
#> 18 0 1 2.496138 2.627070 2.554122 0.1139611430 0.09565869 -0.1064058439
#> 19 0 1 2.627070 3.622562 2.700018 0.1239993256 0.09888017 -0.1119953606
#> 20 1 2 1.062245 1.699981 1.648694 0.0539663186 0.04657115 -0.0199232132
#> 21 1 2 1.699981 1.775368 1.751268 0.0842652340 0.06638256 -0.0279507065
#> 22 1 2 1.775368 1.835269 1.799468 0.0969011973 0.07343148 -0.0316570012
#> 23 1 2 1.835269 1.892682 1.871069 0.1114688328 0.08079357 -0.0439370534
#> 24 1 2 1.892682 1.933662 1.914296 0.1172630936 0.08360823 -0.0559117177
#> 25 1 2 1.933662 1.972404 1.953028 0.1204058081 0.08519599 -0.0537867613
#> 26 1 2 1.972404 2.008396 1.991781 0.1216849330 0.08596106 -0.0558388229
#> 27 1 2 2.008396 2.041395 2.025010 0.1214620915 0.08602537 -0.0559962439
#> 28 1 2 2.041395 2.076143 2.057780 0.1202817222 0.08565168 -0.0547610897
#> 29 1 2 2.076143 2.117286 2.094506 0.1181797146 0.08488341 -0.0579827631
#> 30 1 2 2.117286 2.163326 2.140066 0.1150886671 0.08372914 -0.0627090171
#> 31 1 2 2.163326 2.205605 2.186586 0.1121977196 0.08265703 -0.0600475187
#> 32 1 2 2.205605 2.246900 2.224624 0.1105244891 0.08200363 -0.0569406716
#> 33 1 2 2.246900 2.293677 2.269176 0.1096707857 0.08152408 -0.0522475013
#> 34 1 2 2.293677 2.343877 2.318177 0.1101784009 0.08129477 -0.0615889121
#> 35 1 2 2.343877 2.403865 2.369576 0.1121014957 0.08128924 -0.0580410226
#> 36 1 2 2.403865 2.496138 2.438154 0.1161333102 0.08151991 -0.0514252022
#> 37 1 2 2.496138 2.627070 2.554122 0.1244573158 0.08258257 -0.0425551185
#> 38 1 2 2.627070 3.622562 2.700018 0.1348013494 0.08671591 -0.0391957508
#> 39 2 3 1.062245 1.699981 1.648694 0.0549309106 0.04620856 -0.0252881194
#> 40 2 3 1.699981 1.775368 1.751268 0.0861178489 0.06577364 -0.0276405429
#> 41 2 3 1.775368 1.835269 1.799468 0.0992163312 0.07280280 -0.0318175146
#> 42 2 3 1.835269 1.892682 1.871069 0.1144327558 0.08029317 -0.0433467215
#> 43 2 3 1.892682 1.933662 1.914296 0.1205642826 0.08322550 -0.0499835550
#> 44 2 3 1.933662 1.972404 1.953028 0.1239629163 0.08488708 -0.0484421912
#> 45 2 3 1.972404 2.008396 1.991781 0.1254519843 0.08565288 -0.0455859597
#> 46 2 3 2.008396 2.041395 2.025010 0.1253737596 0.08563820 -0.0487876179
#> 47 2 3 2.041395 2.076143 2.057780 0.1243068337 0.08510840 -0.0526629475
#> 48 2 3 2.076143 2.117286 2.094506 0.1223019351 0.08408071 -0.0565093674
#> 49 2 3 2.117286 2.163326 2.140066 0.1192950725 0.08251688 -0.0577564363
#> 50 2 3 2.163326 2.205605 2.186586 0.1164581395 0.08099547 -0.0540912032
#> 51 2 3 2.205605 2.246900 2.224624 0.1148113182 0.08000865 -0.0487125473
#> 52 2 3 2.246900 2.293677 2.269176 0.1139739715 0.07923031 -0.0458208582
#> 53 2 3 2.293677 2.343877 2.318177 0.1144874208 0.07882126 -0.0445205779
#> 54 2 3 2.343877 2.403865 2.369576 0.1164098404 0.07879108 -0.0389123117
#> 55 2 3 2.403865 2.496138 2.438154 0.1204437780 0.07916519 -0.0344805355
#> 56 2 3 2.496138 2.627070 2.554122 0.1288333939 0.08049614 -0.0337050715
#> 57 2 3 2.627070 3.622562 2.700018 0.1394280454 0.08441482 -0.0372612074
#> 58 3 4 1.062245 1.699981 1.648694 0.0641493716 0.04545304 -0.0040281918
#> 59 3 4 1.699981 1.775368 1.751268 0.0997403244 0.06262139 -0.0115851628
#> 60 3 4 1.775368 1.835269 1.799468 0.1144929922 0.06800046 -0.0129169673
#> 61 3 4 1.835269 1.892682 1.871069 0.1315020381 0.07281988 -0.0047469740
#> 62 3 4 1.892682 1.933662 1.914296 0.1383705226 0.07428222 -0.0070729312
#> 63 3 4 1.933662 1.972404 1.953028 0.1422639489 0.07486613 -0.0021368695
#> 64 3 4 1.972404 2.008396 1.991781 0.1441388492 0.07484706 0.0036880079
#> 65 3 4 2.008396 2.041395 2.025010 0.1443355622 0.07441132 0.0010637936
#> 66 3 4 2.041395 2.076143 2.057780 0.1435102753 0.07368977 -0.0012516067
#> 67 3 4 2.076143 2.117286 2.094506 0.1417582997 0.07268864 -0.0023895901
#> 68 3 4 2.117286 2.163326 2.140066 0.1390544984 0.07145133 -0.0008443261
#> 69 3 4 2.163326 2.205605 2.186586 0.1365210014 0.07049212 -0.0026646777
#> 70 3 4 2.205605 2.246900 2.224624 0.1351153383 0.07004560 -0.0032437349
#> 71 3 4 2.246900 2.293677 2.269176 0.1345459389 0.06990078 -0.0027751280
#> 72 3 4 2.293677 2.343877 2.318177 0.1353283223 0.07011348 -0.0044853332
#> 73 3 4 2.343877 2.403865 2.369576 0.1375001723 0.07060904 -0.0021979315
#> 74 3 4 2.403865 2.496138 2.438154 0.1418251915 0.07146678 0.0026528762
#> 75 3 4 2.496138 2.627070 2.554122 0.1506912816 0.07303182 0.0136460559
#> 76 3 4 2.627070 3.622562 2.700018 0.1620034905 0.07632412 0.0195696743
#> 77 4 5 1.062245 1.699981 1.648694 0.0645918498 0.04547635 -0.0040281918
#> 78 4 5 1.699981 1.775368 1.751268 0.1005209676 0.06269405 -0.0115851628
#> 79 4 5 1.775368 1.835269 1.799468 0.1154523196 0.06810819 -0.0129169673
#> 80 4 5 1.835269 1.892682 1.871069 0.1327342876 0.07298762 -0.0040212706
#> 81 4 5 1.892682 1.933662 1.914296 0.1397672837 0.07448566 -0.0007342728
#> 82 4 5 1.933662 1.972404 1.953028 0.1438062349 0.07509721 0.0036789281
#> 83 4 5 1.972404 2.008396 1.991781 0.1458238884 0.07509802 0.0041000201
#> 84 4 5 2.008396 2.041395 2.025010 0.1461396827 0.07467016 0.0015291836
#> 85 4 5 2.041395 2.076143 2.057780 0.1454274872 0.07394571 -0.0009735812
#> 86 4 5 2.076143 2.117286 2.094506 0.1437950229 0.07292711 -0.0023895901
#> 87 4 5 2.117286 2.163326 2.140066 0.1412245938 0.07164851 -0.0025161050
#> 88 4 5 2.163326 2.205605 2.186586 0.1388044509 0.07063353 -0.0049266201
#> 89 4 5 2.205605 2.246900 2.224624 0.1374704014 0.07014222 -0.0060207714
#> 90 4 5 2.246900 2.293677 2.269176 0.1369578228 0.06995887 -0.0048136836
#> 91 4 5 2.293677 2.343877 2.318177 0.1377680297 0.07015723 -0.0044693777
#> 92 4 5 2.343877 2.403865 2.369576 0.1399325686 0.07067139 -0.0020400350
#> 93 4 5 2.403865 2.496138 2.438154 0.1442005481 0.07159224 0.0025684063
#> 94 4 5 2.496138 2.627070 2.554122 0.1528970302 0.07328007 0.0123282704
#> 95 4 5 2.627070 3.622562 2.700018 0.1639683048 0.07658467 0.0178480930
#> 96 5 6 1.062245 1.699981 1.648694 0.0656910857 0.04576250 -0.0030716436
#> 97 5 6 1.699981 1.775368 1.751268 0.1024908018 0.06331653 -0.0052985616
#> 98 5 6 1.775368 1.835269 1.799468 0.1178923532 0.06896023 0.0029884360
#> 99 5 6 1.835269 1.892682 1.871069 0.1358969696 0.07444599 0.0041500784
#> 100 5 6 1.892682 1.933662 1.914296 0.1433606710 0.07656619 0.0043105269
#> 101 5 6 1.933662 1.972404 1.953028 0.1477729422 0.07792456 0.0038282001
#> 102 5 6 1.972404 2.008396 1.991781 0.1501484361 0.07882256 0.0053071753
#> 103 5 6 2.008396 2.041395 2.025010 0.1507578769 0.07923553 0.0052447078
#> 104 5 6 2.041395 2.076143 2.057780 0.1503242977 0.07935122 0.0034308498
#> 105 5 6 2.076143 2.117286 2.094506 0.1489936830 0.07922315 0.0006454727
#> 106 5 6 2.117286 2.163326 2.140066 0.1467877916 0.07888816 -0.0025161050
#> 107 5 6 2.163326 2.205605 2.186586 0.1447347843 0.07859435 -0.0049266201
#> 108 5 6 2.205605 2.246900 2.224624 0.1436995837 0.07851365 -0.0060207714
#> 109 5 6 2.246900 2.293677 2.269176 0.1435341566 0.07865076 -0.0048136836
#> 110 5 6 2.293677 2.343877 2.318177 0.1447154012 0.07907228 0.0007185857
#> 111 5 6 2.343877 2.403865 2.369576 0.1472437523 0.07973985 0.0002570846
#> 112 5 6 2.403865 2.496138 2.438154 0.1519326164 0.08077955 0.0027113623
#> 113 5 6 2.496138 2.627070 2.554122 0.1611359943 0.08239580 0.0123282704
#> 114 5 6 2.627070 3.622562 2.700018 0.1725491456 0.08513704 0.0178480930
#> 115 6 7 1.062245 1.699981 1.648694 0.0661184480 0.04515661 -0.0030716436
#> 116 6 7 1.699981 1.775368 1.751268 0.1028857270 0.06233039 -0.0053323780
#> 117 6 7 1.775368 1.835269 1.799468 0.1181416629 0.06781322 -0.0054091912
#> 118 6 7 1.835269 1.892682 1.871069 0.1357589247 0.07306699 0.0041500784
#> 119 6 7 1.892682 1.933662 1.914296 0.1429085258 0.07501026 0.0043105269
#> 120 6 7 1.933662 1.972404 1.953028 0.1470097292 0.07615592 0.0038282001
#> 121 6 7 1.972404 2.008396 1.991781 0.1490664606 0.07677667 0.0053071753
#> 122 6 7 2.008396 2.041395 2.025010 0.1494120068 0.07690260 0.0052447078
#> 123 6 7 2.041395 2.076143 2.057780 0.1487389534 0.07670215 0.0034308498
#> 124 6 7 2.076143 2.117286 2.094506 0.1471762681 0.07620191 0.0006454727
#> 125 6 7 2.117286 2.163326 2.140066 0.1447496269 0.07541800 -0.0025161050
#> 126 6 7 2.163326 2.205605 2.186586 0.1425564427 0.07472173 -0.0049266201
#> 127 6 7 2.205605 2.246900 2.224624 0.1414697463 0.07437218 -0.0060207714
#> 128 6 7 2.246900 2.293677 2.269176 0.1413074946 0.07426890 -0.0048136836
#> 129 6 7 2.293677 2.343877 2.318177 0.1425531232 0.07451291 0.0007185857
#> 130 6 7 2.343877 2.403865 2.369576 0.1451910229 0.07507270 0.0002570846
#> 131 6 7 2.403865 2.496138 2.438154 0.1500474070 0.07603798 0.0027113623
#> 132 6 7 2.496138 2.627070 2.554122 0.1594882076 0.07754838 0.0123282704
#> 133 6 7 2.627070 3.622562 2.700018 0.1710664575 0.08026916 0.0178480930
#> 134 7 8 1.062245 1.699981 1.648694 0.0660606406 0.04456634 0.0011922134
#> 135 7 8 1.699981 1.775368 1.751268 0.1028097029 0.06089428 0.0036082021
#> 136 7 8 1.775368 1.835269 1.799468 0.1180171902 0.06592605 0.0040215096
#> 137 7 8 1.835269 1.892682 1.871069 0.1354734306 0.07065101 0.0102159977
#> 138 7 8 1.892682 1.933662 1.914296 0.1424663002 0.07243461 0.0089046006
#> 139 7 8 1.933662 1.972404 1.953028 0.1463916169 0.07355475 0.0068454041
#> 140 7 8 1.972404 2.008396 1.991781 0.1482454958 0.07424787 0.0053071753
#> 141 7 8 2.008396 2.041395 2.025010 0.1484020758 0.07449645 0.0052447078
#> 142 7 8 2.041395 2.076143 2.057780 0.1475346480 0.07445630 0.0034308498
#> 143 7 8 2.076143 2.117286 2.094506 0.1457501058 0.07416670 0.0006454727
#> 144 7 8 2.117286 2.163326 2.140066 0.1430484827 0.07366583 -0.0025161050
#> 145 7 8 2.163326 2.205605 2.186586 0.1405786254 0.07324702 -0.0049266201
#> 146 7 8 2.205605 2.246900 2.224624 0.1392696364 0.07307917 -0.0060207714
#> 147 7 8 2.246900 2.293677 2.269176 0.1388521998 0.07308995 -0.0048136836
#> 148 7 8 2.293677 2.343877 2.318177 0.1398267057 0.07329019 0.0007185857
#> 149 7 8 2.343877 2.403865 2.369576 0.1421987165 0.07360441 0.0002570846
#> 150 7 8 2.403865 2.496138 2.438154 0.1467487086 0.07403503 0.0027113623
#> 151 7 8 2.496138 2.627070 2.554122 0.1558419946 0.07478200 0.0123282704
#> 152 7 8 2.627070 3.622562 2.700018 0.1672456379 0.07759257 0.0178480930
#> 153 8 9 1.062245 1.699981 1.648694 0.0668456321 0.04407511 0.0014511970
#> 154 8 9 1.699981 1.775368 1.751268 0.1038339850 0.06013997 0.0056087438
#> 155 8 9 1.775368 1.835269 1.799468 0.1190835344 0.06514458 0.0085933560
#> 156 8 9 1.835269 1.892682 1.871069 0.1365263215 0.07004799 0.0102091123
#> 157 8 9 1.892682 1.933662 1.914296 0.1434839946 0.07206154 0.0088915757
#> 158 8 9 1.933662 1.972404 1.953028 0.1473724735 0.07342601 0.0068112605
#> 159 8 9 1.972404 2.008396 1.991781 0.1491920018 0.07435286 0.0041000201
#> 160 8 9 2.008396 2.041395 2.025010 0.1493248010 0.07476018 0.0015291836
#> 161 8 9 2.041395 2.076143 2.057780 0.1484405369 0.07481813 -0.0009735812
#> 162 8 9 2.076143 2.117286 2.094506 0.1466449100 0.07455807 -0.0034574095
#> 163 8 9 2.117286 2.163326 2.140066 0.1439387017 0.07397955 -0.0057095177
#> 164 8 9 2.163326 2.205605 2.186586 0.1414700875 0.07338154 -0.0068288774
#> 165 8 9 2.205605 2.246900 2.224624 0.1401630084 0.07302688 -0.0068598943
#> 166 8 9 2.246900 2.293677 2.269176 0.1397458919 0.07281349 -0.0060707867
#> 167 8 9 2.293677 2.343877 2.318177 0.1407170660 0.07280215 -0.0049513114
#> 168 8 9 2.343877 2.403865 2.369576 0.1430832150 0.07296732 -0.0020400350
#> 169 8 9 2.403865 2.496138 2.438154 0.1476305448 0.07334237 0.0027113623
#> 170 8 9 2.496138 2.627070 2.554122 0.1567709574 0.07435768 0.0123282704
#> 171 8 9 2.627070 3.622562 2.700018 0.1683518099 0.07790950 0.0178480930
#> 172 9 10 1.062245 1.699981 1.648694 0.0700333593 0.04592525 0.0016540593
#> 173 9 10 1.699981 1.775368 1.751268 0.1081628222 0.06181004 0.0059118274
#> 174 9 10 1.775368 1.835269 1.799468 0.1236427516 0.06625505 0.0090341856
#> 175 9 10 1.835269 1.892682 1.871069 0.1410118198 0.06994972 0.0107258977
#> 176 9 10 1.892682 1.933662 1.914296 0.1477319761 0.07124230 0.0104821063
#> 177 9 10 1.933662 1.972404 1.953028 0.1513348981 0.07210654 0.0097322949
#> 178 9 10 1.972404 2.008396 1.991781 0.1528420491 0.07272673 0.0099375535
#> 179 9 10 2.008396 2.041395 2.025010 0.1527130297 0.07302923 0.0050037998
#> 180 9 10 2.041395 2.076143 2.057780 0.1515937056 0.07310891 0.0023681557
#> 181 9 10 2.076143 2.117286 2.094506 0.1495744624 0.07298928 -0.0006076555
#> 182 9 10 2.117286 2.163326 2.140066 0.1466567650 0.07270133 -0.0039913450
#> 183 9 10 2.163326 2.205605 2.186586 0.1440427295 0.07246996 -0.0065983012
#> 184 9 10 2.205605 2.246900 2.224624 0.1426593817 0.07242718 -0.0068476150
#> 185 9 10 2.246900 2.293677 2.269176 0.1421873771 0.07255819 -0.0048136836
#> 186 9 10 2.293677 2.343877 2.318177 0.1431243998 0.07287287 0.0026208861
#> 187 9 10 2.343877 2.403865 2.369576 0.1454680979 0.07330773 0.0034656850
#> 188 9 10 2.403865 2.496138 2.438154 0.1499869782 0.07392642 0.0066260398
#> 189 9 10 2.496138 2.627070 2.554122 0.1590539063 0.07502837 0.0177202087
#> 190 9 10 2.627070 3.622562 2.700018 0.1705355141 0.07804869 0.0177935979
#> 191 10 11 1.062245 1.699981 1.648694 0.0531000766 0.04586997 -0.0141736481
#> 192 10 11 1.699981 1.775368 1.751268 0.0350784583 0.06174442 -0.0673558293
#> 193 10 11 1.775368 1.835269 1.799468 -0.0048795706 0.06647891 -0.1178948024
#> 194 10 11 1.835269 1.892682 1.871069 -0.1185210572 0.07160036 -0.2456698191
#> 195 10 11 1.892682 1.933662 1.914296 -0.2204341805 0.07459997 -0.3494895008
#> 196 10 11 1.933662 1.972404 1.953028 -0.3301228922 0.07753671 -0.4569920419
#> 197 10 11 1.972404 2.008396 1.991781 -0.4520336601 0.08056483 -0.5855722270
#> 198 10 11 2.008396 2.041395 2.025010 -0.5611020505 0.08297971 -0.7095595063
#> 199 10 11 2.041395 2.076143 2.057780 -0.6678473261 0.08497340 -0.8218721981
#> 200 10 11 2.076143 2.117286 2.094506 -0.7810402419 0.08658577 -0.9438599003
#> 201 10 11 2.117286 2.163326 2.140066 -0.9046139434 0.08763439 -1.0686346882
#> 202 10 11 2.163326 2.205605 2.186586 -1.0056295373 0.08783251 -1.1623244309
#> 203 10 11 2.205605 2.246900 2.224624 -1.0679385317 0.08759163 -1.2243935985
#> 204 10 11 2.246900 2.293677 2.269176 -1.1193281222 0.08710385 -1.2812156816
#> 205 10 11 2.293677 2.343877 2.318177 -1.1536637493 0.08651076 -1.3087715744
#> 206 10 11 2.343877 2.403865 2.369576 -1.1717460540 0.08594065 -1.3169562814
#> 207 10 11 2.403865 2.496138 2.438154 -1.1790278184 0.08536066 -1.3213881874
#> 208 10 11 2.496138 2.627070 2.554122 -1.1742178691 0.08517329 -1.3243518550
#> 209 10 11 2.627070 3.622562 2.700018 -1.1628796995 0.08726197 -1.3246695116
#> 210 11 12 1.062245 1.699981 1.648694 0.0532226844 0.04583223 -0.0141736481
#> 211 11 12 1.699981 1.775368 1.751268 0.0354700876 0.06124081 -0.0631504043
#> 212 11 12 1.775368 1.835269 1.799468 -0.0042661470 0.06524109 -0.1155648119
#> 213 11 12 1.835269 1.892682 1.871069 -0.1174805084 0.06803862 -0.2437503482
#> 214 11 12 1.892682 1.933662 1.914296 -0.2191218217 0.06886563 -0.3468778227
#> 215 11 12 1.933662 1.972404 1.953028 -0.3285998176 0.06961974 -0.4518192271
#> 216 11 12 1.972404 2.008396 1.991781 -0.4503660829 0.07062565 -0.5820980922
#> 217 11 12 2.008396 2.041395 2.025010 -0.5593852157 0.07172612 -0.7022897246
#> 218 11 12 2.041395 2.076143 2.057780 -0.6661605740 0.07297209 -0.8141002610
#> 219 11 12 2.076143 2.117286 2.094506 -0.7794811925 0.07444101 -0.9210119102
#> 220 11 12 2.117286 2.163326 2.140066 -0.9033322423 0.07615987 -1.0538521690
#> 221 11 12 2.163326 2.205605 2.186586 -1.0047198298 0.07758227 -1.1613310836
#> 222 11 12 2.205605 2.246900 2.224624 -1.0673559060 0.07840710 -1.2197009111
#> 223 11 12 2.246900 2.293677 2.269176 -1.1191088944 0.07897812 -1.2672515572
#> 224 11 12 2.293677 2.343877 2.318177 -1.1537794585 0.07919166 -1.2934640797
#> 225 11 12 2.343877 2.403865 2.369576 -1.1721191079 0.07910198 -1.3119912748
#> 226 11 12 2.403865 2.496138 2.438154 -1.1796051577 0.07879271 -1.3204751686
#> 227 11 12 2.496138 2.627070 2.554122 -1.1749156964 0.07876486 -1.3080282135
#> 228 11 12 2.627070 3.622562 2.700018 -1.1636044041 0.08127917 -1.3188287710
#> 229 12 13 1.062245 1.699981 1.648694 0.0521521337 0.04567950 -0.0145686797
#> 230 12 13 1.699981 1.775368 1.751268 0.0335121475 0.06135179 -0.0641125856
#> 231 12 13 1.775368 1.835269 1.799468 -0.0067153601 0.06551972 -0.1155648119
#> 232 12 13 1.835269 1.892682 1.871069 -0.1206993643 0.06841887 -0.2437503482
#> 233 12 13 1.892682 1.933662 1.914296 -0.2228047289 0.06912611 -0.3468778227
#> 234 12 13 1.933662 1.972404 1.953028 -0.3326839377 0.06963983 -0.4518192271
#> 235 12 13 1.972404 2.008396 1.991781 -0.4548281688 0.07031145 -0.5820980922
#> 236 12 13 2.008396 2.041395 2.025010 -0.5641466552 0.07109149 -0.7022897246
#> 237 12 13 2.041395 2.076143 2.057780 -0.6711907415 0.07202520 -0.8141002610
#> 238 12 13 2.076143 2.117286 2.094506 -0.7847779814 0.07317369 -0.9210119102
#> 239 12 13 2.117286 2.163326 2.140066 -0.9089062988 0.07454776 -1.0538521690
#> 240 12 13 2.163326 2.205605 2.186586 -1.0105161005 0.07566000 -1.1613310836
#> 241 12 13 2.205605 2.246900 2.224624 -1.0732909183 0.07624300 -1.2197009111
#> 242 12 13 2.246900 2.293677 2.269176 -1.1251628321 0.07653135 -1.2672515572
#> 243 12 13 2.293677 2.343877 2.318177 -1.1599189073 0.07643585 -1.3013731348
#> 244 12 13 2.343877 2.403865 2.369576 -1.1783093245 0.07603951 -1.3130522751
#> 245 12 13 2.403865 2.496138 2.438154 -1.1858221920 0.07538517 -1.3205482663
#> 246 12 13 2.496138 2.627070 2.554122 -1.1811300938 0.07505355 -1.3251665067
#> 247 12 13 2.627070 3.622562 2.700018 -1.1698043649 0.07779323 -1.3248411791
#> 248 13 14 1.062245 1.699981 1.648694 0.0519140065 0.04587467 -0.0141736481
#> 249 13 14 1.699981 1.775368 1.751268 0.0330222010 0.06149280 -0.0631504043
#> 250 13 14 1.775368 1.835269 1.799468 -0.0073762152 0.06560450 -0.1155648119
#> 251 13 14 1.835269 1.892682 1.871069 -0.1216942233 0.06845925 -0.2437503482
#> 252 13 14 1.892682 1.933662 1.914296 -0.2240511060 0.06921348 -0.3468778227
#> 253 13 14 1.933662 1.972404 1.953028 -0.3341846760 0.06983703 -0.4519134025
#> 254 13 14 1.972404 2.008396 1.991781 -0.4566040740 0.07067571 -0.5820980922
#> 255 13 14 2.008396 2.041395 2.025010 -0.5661676139 0.07162471 -0.7022897246
#> 256 13 14 2.041395 2.076143 2.057780 -0.6734540982 0.07272500 -0.8141002610
#> 257 13 14 2.076143 2.117286 2.094506 -0.7873049890 0.07403543 -0.9344436708
#> 258 13 14 2.117286 2.163326 2.140066 -0.9117356623 0.07555074 -1.0686346882
#> 259 13 14 2.163326 2.205605 2.186586 -1.0136138338 0.07673864 -1.1669443882
#> 260 13 14 2.205605 2.246900 2.224624 -1.0765726803 0.07734961 -1.2376851554
#> 261 13 14 2.246900 2.293677 2.269176 -1.1286181612 0.07766094 -1.2889965584
#> 262 13 14 2.293677 2.343877 2.318177 -1.1635147413 0.07761159 -1.3208059271
#> 263 13 14 2.343877 2.403865 2.369576 -1.1820007171 0.07731072 -1.3352422925
#> 264 13 14 2.403865 2.496138 2.438154 -1.1895703088 0.07685555 -1.3385568213
#> 265 13 14 2.496138 2.627070 2.554122 -1.1848450392 0.07687295 -1.3331436434
#> 266 13 14 2.627070 3.622562 2.700018 -1.1734056319 0.07963722 -1.3439567618
#> 267 14 15 1.062245 1.699981 1.648694 0.0523875201 0.04617451 -0.0138716222
#> 268 14 15 1.699981 1.775368 1.751268 0.0341170784 0.06206336 -0.0630869134
#> 269 14 15 1.775368 1.835269 1.799468 -0.0058481291 0.06630994 -0.1140047656
#> 270 14 15 1.835269 1.892682 1.871069 -0.1193501718 0.06945454 -0.2437503482
#> 271 14 15 1.892682 1.933662 1.914296 -0.2211320687 0.07054977 -0.3468778227
#> 272 14 15 1.933662 1.972404 1.953028 -0.3307200250 0.07166696 -0.4519134025
#> 273 14 15 1.972404 2.008396 1.991781 -0.4525889944 0.07320125 -0.5820980922
#> 274 14 15 2.008396 2.041395 2.025010 -0.5616973714 0.07488023 -0.7022897246
#> 275 14 15 2.041395 2.076143 2.057780 -0.6685678865 0.07676417 -0.8141002610
#> 276 14 15 2.076143 2.117286 2.094506 -0.7820096364 0.07894347 -0.9344436708
#> 277 14 15 2.117286 2.163326 2.140066 -0.9060387157 0.08139549 -1.0686346882
#> 278 14 15 2.163326 2.205605 2.186586 -1.0076414864 0.08327765 -1.1669443882
#> 279 14 15 2.205605 2.246900 2.224624 -1.0704741923 0.08424240 -1.2376851554
#> 280 14 15 2.246900 2.293677 2.269176 -1.1224702196 0.08476239 -1.2889965584
#> 281 14 15 2.293677 2.343877 2.318177 -1.1574053676 0.08477565 -1.3208059271
#> 282 14 15 2.343877 2.403865 2.369576 -1.1759959006 0.08446721 -1.3352422925
#> 283 14 15 2.403865 2.496138 2.438154 -1.1837415309 0.08403136 -1.3385568213
#> 284 14 15 2.496138 2.627070 2.554122 -1.1792684608 0.08426770 -1.3331436434
#> 285 14 15 2.627070 3.622562 2.700018 -1.1679832900 0.08726018 -1.3439567618
#> 286 15 16 1.062245 1.699981 1.648694 0.0666487225 0.04680951 -0.0017939939
#> 287 15 16 1.699981 1.775368 1.751268 0.0973455446 0.06402826 -0.0029804398
#> 288 15 16 1.775368 1.835269 1.799468 0.1070896927 0.06906058 -0.0038790846
#> 289 15 16 1.835269 1.892682 1.871069 0.1141153223 0.07270264 -0.0154475053
#> 290 15 16 1.892682 1.933662 1.914296 0.1145913274 0.07313731 -0.0180337931
#> 291 15 16 1.933662 1.972404 1.953028 0.1134236211 0.07280871 -0.0194435134
#> 292 15 16 1.972404 2.008396 1.991781 0.1114972428 0.07213896 -0.0196744263
#> 293 15 16 2.008396 2.041395 2.025010 0.1097561401 0.07152135 -0.0189193249
#> 294 15 16 2.041395 2.076143 2.057780 0.1083125441 0.07102364 -0.0180436891
#> 295 15 16 2.076143 2.117286 2.094506 0.1072940649 0.07069415 -0.0210576573
#> 296 15 16 2.117286 2.163326 2.140066 0.1071318668 0.07064145 -0.0163531059
#> 297 15 16 2.163326 2.205605 2.186586 0.1082363064 0.07089288 -0.0137560856
#> 298 15 16 2.205605 2.246900 2.224624 0.1099599191 0.07122791 -0.0114463039
#> 299 15 16 2.246900 2.293677 2.269176 0.1126867470 0.07169683 -0.0119654821
#> 300 15 16 2.293677 2.343877 2.318177 0.1162653326 0.07228101 -0.0046249876
#> 301 15 16 2.343877 2.403865 2.369576 0.1203565206 0.07296118 -0.0013236431
#> 302 15 16 2.403865 2.496138 2.438154 0.1259699632 0.07391081 0.0003017561
#> 303 15 16 2.496138 2.627070 2.554122 0.1353804390 0.07540670 0.0018686840
#> 304 15 16 2.627070 3.622562 2.700018 0.1467687602 0.07805414 0.0074612652
#> 305 16 17 1.062245 1.699981 1.648694 0.0661332470 0.04670487 -0.0017939939
#> 306 16 17 1.699981 1.775368 1.751268 0.0964780497 0.06397514 -0.0029804398
#> 307 16 17 1.775368 1.835269 1.799468 0.1060308277 0.06909750 -0.0038790846
#> 308 16 17 1.835269 1.892682 1.871069 0.1127362252 0.07298671 -0.0154475053
#> 309 16 17 1.892682 1.933662 1.914296 0.1129953003 0.07365033 -0.0180337931
#> 310 16 17 1.933662 1.972404 1.953028 0.1116184775 0.07358277 -0.0313113581
#> 311 16 17 1.972404 2.008396 1.991781 0.1094713937 0.07322178 -0.0295534656
#> 312 16 17 2.008396 2.041395 2.025010 0.1075348047 0.07289329 -0.0273438437
#> 313 16 17 2.041395 2.076143 2.057780 0.1058956852 0.07268264 -0.0259660568
#> 314 16 17 2.076143 2.117286 2.094506 0.1046580021 0.07264765 -0.0256850929
#> 315 16 17 2.117286 2.163326 2.140066 0.1042277758 0.07287332 -0.0199138653
#> 316 16 17 2.163326 2.205605 2.186586 0.1050661407 0.07326833 -0.0167792987
#> 317 16 17 2.205605 2.246900 2.224624 0.1065793192 0.07360511 -0.0168451417
#> 318 16 17 2.246900 2.293677 2.269176 0.1090696873 0.07395667 -0.0143074551
#> 319 16 17 2.293677 2.343877 2.318177 0.1124051088 0.07430230 -0.0120165664
#> 320 16 17 2.343877 2.403865 2.369576 0.1162688324 0.07467150 -0.0074905972
#> 321 16 17 2.403865 2.496138 2.438154 0.1216410812 0.07521451 -0.0023069333
#> 322 16 17 2.496138 2.627070 2.554122 0.1308415724 0.07621739 -0.0002796273
#> 323 16 17 2.627070 3.622562 2.700018 0.1422382690 0.07847771 -0.0048078073
#> 324 17 18 1.062245 1.699981 1.648694 0.0641702429 0.04639469 -0.0017847831
#> 325 17 18 1.699981 1.775368 1.751268 0.0933321425 0.06341260 -0.0042429969
#> 326 17 18 1.775368 1.835269 1.799468 0.1024861187 0.06835416 -0.0090261099
#> 327 17 18 1.835269 1.892682 1.871069 0.1089893510 0.07179812 -0.0154153948
#> 328 17 18 1.892682 1.933662 1.914296 0.1093888435 0.07199892 -0.0179051425
#> 329 17 18 1.933662 1.972404 1.953028 0.1082930231 0.07132822 -0.0192987834
#> 330 17 18 1.972404 2.008396 1.991781 0.1065412604 0.07015978 -0.0196189470
#> 331 17 18 2.008396 2.041395 2.025010 0.1050017094 0.06898983 -0.0189193249
#> 332 17 18 2.041395 2.076143 2.057780 0.1037757787 0.06785756 -0.0173242306
#> 333 17 18 2.076143 2.117286 2.094506 0.1029931141 0.06675844 -0.0173368981
#> 334 17 18 2.117286 2.163326 2.140066 0.1030713935 0.06575431 -0.0116383624
#> 335 17 18 2.163326 2.205605 2.186586 0.1043303959 0.06512739 -0.0105391001
#> 336 17 18 2.205605 2.246900 2.224624 0.1061050073 0.06484720 -0.0083982002
#> 337 17 18 2.246900 2.293677 2.269176 0.1088148716 0.06471488 -0.0037060345
#> 338 17 18 2.293677 2.343877 2.318177 0.1123067036 0.06476450 -0.0003687646
#> 339 17 18 2.343877 2.403865 2.369576 0.1162719818 0.06499225 0.0035483585
#> 340 17 18 2.403865 2.496138 2.438154 0.1217310688 0.06545605 0.0027570625
#> 341 17 18 2.496138 2.627070 2.554122 0.1310427457 0.06632573 0.0050186750
#> 342 17 18 2.627070 3.622562 2.700018 0.1425394810 0.06853754 0.0183873553
#> 343 18 19 1.062245 1.699981 1.648694 0.0649908642 0.04775696 -0.0013225118
#> 344 18 19 1.699981 1.775368 1.751268 0.0949911063 0.06564786 -0.0029061837
#> 345 18 19 1.775368 1.835269 1.799468 0.1047226895 0.07106532 -0.0063218176
#> 346 18 19 1.835269 1.892682 1.871069 0.1123353549 0.07531383 -0.0117369848
#> 347 18 19 1.892682 1.933662 1.914296 0.1135389813 0.07605569 -0.0113009110
#> 348 18 19 1.933662 1.972404 1.953028 0.1132271440 0.07589530 -0.0116961503
#> 349 18 19 1.972404 2.008396 1.991781 0.1122936334 0.07524883 -0.0115257957
#> 350 18 19 2.008396 2.041395 2.025010 0.1114607041 0.07452489 -0.0147897201
#> 351 18 19 2.041395 2.076143 2.057780 0.1109173489 0.07382215 -0.0167302983
#> 352 18 19 2.076143 2.117286 2.094506 0.1108634988 0.07318386 -0.0145620389
#> 353 18 19 2.117286 2.163326 2.140066 0.1117678830 0.07271232 -0.0102650415
#> 354 18 19 2.163326 2.205605 2.186586 0.1137606595 0.07257883 -0.0103641217
#> 355 18 19 2.205605 2.246900 2.224624 0.1160454438 0.07266032 -0.0075815094
#> 356 18 19 2.246900 2.293677 2.269176 0.1192492464 0.07289558 -0.0035298841
#> 357 18 19 2.293677 2.343877 2.318177 0.1231602776 0.07326515 0.0016291164
#> 358 18 19 2.343877 2.403865 2.369576 0.1274360243 0.07371954 0.0048731300
#> 359 18 19 2.403865 2.496138 2.438154 0.1331271939 0.07431044 0.0120640303
#> 360 18 19 2.496138 2.627070 2.554122 0.1424605733 0.07502173 0.0190575096
#> 361 18 19 2.627070 3.622562 2.700018 0.1536295323 0.07658848 0.0234140679
#> 362 19 20 1.062245 1.699981 1.648694 0.0648948909 0.04793049 -0.0017847831
#> 363 19 20 1.699981 1.775368 1.751268 0.0947945754 0.06591386 -0.0029061837
#> 364 19 20 1.775368 1.835269 1.799468 0.1044795846 0.07133975 -0.0063218176
#> 365 19 20 1.835269 1.892682 1.871069 0.1120458021 0.07555764 -0.0117369848
#> 366 19 20 1.892682 1.933662 1.914296 0.1132424715 0.07627773 -0.0113009110
#> 367 19 20 1.933662 1.972404 1.953028 0.1129405183 0.07611458 -0.0116961503
#> 368 19 20 1.972404 2.008396 1.991781 0.1120323943 0.07549239 -0.0115257957
#> 369 19 20 2.008396 2.041395 2.025010 0.1112330038 0.07481370 -0.0147897201
#> 370 19 20 2.041395 2.076143 2.057780 0.1107325538 0.07417498 -0.0167302983
#> 371 19 20 2.076143 2.117286 2.094506 0.1107373799 0.07362325 -0.0145620389
#> 372 19 20 2.117286 2.163326 2.140066 0.1117286058 0.07326372 -0.0102650415
#> 373 19 20 2.163326 2.205605 2.186586 0.1138243107 0.07323017 -0.0103641217
#> 374 19 20 2.205605 2.246900 2.224624 0.1162022923 0.07337301 -0.0075815094
#> 375 19 20 2.246900 2.293677 2.269176 0.1195227019 0.07365318 -0.0035298841
#> 376 19 20 2.293677 2.343877 2.318177 0.1235658030 0.07404120 0.0016291164
#> 377 19 20 2.343877 2.403865 2.369576 0.1279757713 0.07448972 0.0048731300
#> 378 19 20 2.403865 2.496138 2.438154 0.1338228415 0.07505854 0.0120640303
#> 379 19 20 2.496138 2.627070 2.554122 0.1433255751 0.07577610 0.0190575096
#> 380 19 20 2.627070 3.622562 2.700018 0.1545669490 0.07743462 0.0234140679
#> 381 20 21 1.062245 1.699981 1.648694 0.0640941251 0.04676306 -0.0023326983
#> 382 20 21 1.699981 1.775368 1.751268 0.0935418953 0.06439490 -0.0053872746
#> 383 20 21 1.775368 1.835269 1.799468 0.1030377341 0.06980073 -0.0090261099
#> 384 20 21 1.835269 1.892682 1.871069 0.1103802974 0.07414028 -0.0154153948
#> 385 20 21 1.892682 1.933662 1.914296 0.1114790548 0.07496932 -0.0179051425
#> 386 20 21 1.933662 1.972404 1.953028 0.1111119058 0.07488873 -0.0192987834
#> 387 20 21 1.972404 2.008396 1.991781 0.1101574475 0.07431384 -0.0196189470
#> 388 20 21 2.008396 2.041395 2.025010 0.1093312943 0.07364095 -0.0189193249
#> 389 20 21 2.041395 2.076143 2.057780 0.1088144186 0.07297853 -0.0173242306
#> 390 20 21 2.076143 2.117286 2.094506 0.1088107368 0.07237479 -0.0173368981
#> 391 20 21 2.117286 2.163326 2.140066 0.1098032018 0.07193372 -0.0116383624
#> 392 20 21 2.163326 2.205605 2.186586 0.1119103667 0.07182064 -0.0105391001
#> 393 20 21 2.205605 2.246900 2.224624 0.1143029237 0.07191179 -0.0083982002
#> 394 20 21 2.246900 2.293677 2.269176 0.1176436187 0.07214972 -0.0037060345
#> 395 20 21 2.293677 2.343877 2.318177 0.1217099037 0.07251030 -0.0025852981
#> 396 20 21 2.343877 2.403865 2.369576 0.1261423099 0.07294305 0.0018465956
#> 397 20 21 2.403865 2.496138 2.438154 0.1320140004 0.07349779 0.0027081441
#> 398 20 21 2.496138 2.627070 2.554122 0.1415471303 0.07419977 0.0111625358
#> 399 20 21 2.627070 3.622562 2.700018 0.1528164574 0.07592748 0.0196918642
#> 400 21 22 1.062245 1.699981 1.648694 0.0631110493 0.04669722 -0.0023326983
#> 401 21 22 1.699981 1.775368 1.751268 0.0919841296 0.06464688 -0.0063608180
#> 402 21 22 1.775368 1.835269 1.799468 0.1012325248 0.07029006 -0.0103690521
#> 403 21 22 1.835269 1.892682 1.871069 0.1082719667 0.07500497 -0.0187248763
#> 404 21 22 1.892682 1.933662 1.914296 0.1092307308 0.07602545 -0.0220367102
#> 405 21 22 1.933662 1.972404 1.953028 0.1087647692 0.07606978 -0.0220456056
#> 406 21 22 1.972404 2.008396 1.991781 0.1077340204 0.07556599 -0.0200016762
#> 407 21 22 2.008396 2.041395 2.025010 0.1068580595 0.07490955 -0.0189193249
#> 408 21 22 2.041395 2.076143 2.057780 0.1063041539 0.07422599 -0.0173242306
#> 409 21 22 2.076143 2.117286 2.094506 0.1062711984 0.07356207 -0.0173368981
#> 410 21 22 2.117286 2.163326 2.140066 0.1072428468 0.07301072 -0.0116383624
#> 411 21 22 2.163326 2.205605 2.186586 0.1093449119 0.07277063 -0.0103851302
#> 412 21 22 2.205605 2.246900 2.224624 0.1117456580 0.07276594 -0.0075815094
#> 413 21 22 2.246900 2.293677 2.269176 0.1151119808 0.07291745 -0.0037060345
#> 414 21 22 2.293677 2.343877 2.318177 0.1192303290 0.07322836 -0.0003687646
#> 415 21 22 2.343877 2.403865 2.369576 0.1237490994 0.07366642 0.0048315743
#> 416 21 22 2.403865 2.496138 2.438154 0.1297894765 0.07431601 0.0071991717
#> 417 21 22 2.496138 2.627070 2.554122 0.1396963790 0.07535915 0.0187571783
#> 418 21 22 2.627070 3.622562 2.700018 0.1513337348 0.07757817 0.0207821897
#> 419 22 23 1.062245 1.699981 1.648694 0.0623642650 0.04695729 -0.0021381977
#> 420 22 23 1.699981 1.775368 1.751268 0.0905269891 0.06514385 -0.0053866788
#> 421 22 23 1.775368 1.835269 1.799468 0.0994034171 0.07089492 -0.0090261099
#> 422 22 23 1.835269 1.892682 1.871069 0.1059147761 0.07572423 -0.0154153948
#> 423 22 23 1.892682 1.933662 1.914296 0.1065893593 0.07677758 -0.0200720905
#> 424 22 23 1.933662 1.972404 1.953028 0.1058948124 0.07682834 -0.0219926129
#> 425 22 23 1.972404 2.008396 1.991781 0.1046569304 0.07631169 -0.0198996930
#> 426 22 23 2.008396 2.041395 2.025010 0.1036158615 0.07563063 -0.0187507156
#> 427 22 23 2.041395 2.076143 2.057780 0.1029055696 0.07491177 -0.0167302983
#> 428 22 23 2.076143 2.117286 2.094506 0.1026995400 0.07419754 -0.0145620389
#> 429 22 23 2.117286 2.163326 2.140066 0.1034530049 0.07357592 -0.0102650415
#> 430 22 23 2.163326 2.205605 2.186586 0.1053242540 0.07327267 -0.0082370761
#> 431 22 23 2.205605 2.246900 2.224624 0.1075309045 0.07323928 -0.0068084860
#> 432 22 23 2.246900 2.293677 2.269176 0.1106681591 0.07339831 -0.0036967594
#> 433 22 23 2.293677 2.343877 2.318177 0.1145407439 0.07377182 -0.0003687646
#> 434 22 23 2.343877 2.403865 2.369576 0.1188195662 0.07431475 0.0027013171
#> 435 22 23 2.403865 2.496138 2.438154 0.1245840662 0.07508686 0.0069944692
#> 436 22 23 2.496138 2.627070 2.554122 0.1341587974 0.07602805 0.0170699423
#> 437 22 23 2.627070 3.622562 2.700018 0.1455649101 0.07754671 0.0207821897
#> 438 23 24 1.062245 1.699981 1.648694 0.0596998867 0.04938053 -0.0176524834
#> 439 23 24 1.699981 1.775368 1.751268 0.0858042251 0.06954836 -0.0265305295
#> 440 23 24 1.775368 1.835269 1.799468 0.0936446500 0.07621792 -0.0297526302
#> 441 23 24 1.835269 1.892682 1.871069 0.0986959622 0.08221086 -0.0325122258
#> 442 23 24 1.892682 1.933662 1.914296 0.0985864074 0.08384206 -0.0349144020
#> 443 23 24 1.933662 1.972404 1.953028 0.0972700461 0.08435618 -0.0382570300
#> 444 23 24 1.972404 2.008396 1.991781 0.0954916079 0.08427488 -0.0414588160
#> 445 23 24 2.008396 2.041395 2.025010 0.0940517609 0.08395388 -0.0447856695
#> 446 23 24 2.041395 2.076143 2.057780 0.0930041795 0.08357704 -0.0484490859
#> 447 23 24 2.076143 2.117286 2.094506 0.0924814009 0.08322171 -0.0519008249
#> 448 23 24 2.117286 2.163326 2.140066 0.0929221755 0.08299173 -0.0540984561
#> 449 23 24 2.163326 2.205605 2.186586 0.0945521107 0.08301382 -0.0485830079
#> 450 23 24 2.205605 2.246900 2.224624 0.0966094154 0.08319107 -0.0438322676
#> 451 23 24 2.246900 2.293677 2.269176 0.0996153167 0.08354348 -0.0383466148
#> 452 23 24 2.293677 2.343877 2.318177 0.1033853335 0.08408076 -0.0328445532
#> 453 23 24 2.343877 2.403865 2.369576 0.1075918839 0.08476177 -0.0332907970
#> 454 23 24 2.403865 2.496138 2.438154 0.1133025049 0.08569226 -0.0343831479
#> 455 23 24 2.496138 2.627070 2.554122 0.1228761631 0.08682962 -0.0349860929
#> 456 23 24 2.627070 3.622562 2.700018 0.1344022761 0.08821386 -0.0303076372
#> 457 24 25 1.062245 1.699981 1.648694 0.0575461509 0.04975491 -0.0176646437
#> 458 24 25 1.699981 1.775368 1.751268 0.0821310061 0.07042282 -0.0265305295
#> 459 24 25 1.775368 1.835269 1.799468 0.0892320648 0.07737922 -0.0297526302
#> 460 24 25 1.835269 1.892682 1.871069 0.0932597762 0.08376383 -0.0396860463
#> 461 24 25 1.892682 1.933662 1.914296 0.0926033843 0.08556621 -0.0510370447
#> 462 24 25 1.933662 1.972404 1.953028 0.0908500847 0.08617655 -0.0613480523
#> 463 24 25 1.972404 2.008396 1.991781 0.0886851253 0.08614072 -0.0697373259
#> 464 24 25 2.008396 2.041395 2.025010 0.0869526505 0.08582952 -0.0750950055
#> 465 24 25 2.041395 2.076143 2.057780 0.0856493205 0.08545057 -0.0739996439
#> 466 24 25 2.076143 2.117286 2.094506 0.0848752322 0.08509732 -0.0718335827
#> 467 24 25 2.117286 2.163326 2.140066 0.0850490812 0.08490096 -0.0680465922
#> 468 24 25 2.163326 2.205605 2.186586 0.0864464745 0.08500840 -0.0633114356
#> 469 24 25 2.205605 2.246900 2.224624 0.0883336127 0.08529225 -0.0591005864
#> 470 24 25 2.246900 2.293677 2.269176 0.0911508566 0.08579911 -0.0584821863
#> 471 24 25 2.293677 2.343877 2.318177 0.0947127119 0.08652352 -0.0571662910
#> 472 24 25 2.343877 2.403865 2.369576 0.0986882862 0.08740118 -0.0559170296
#> 473 24 25 2.403865 2.496138 2.438154 0.1040644860 0.08857359 -0.0503195096
#> 474 24 25 2.496138 2.627070 2.554122 0.1130427743 0.08999517 -0.0517744268
#> 475 24 25 2.627070 3.622562 2.700018 0.1239052730 0.09134288 -0.0352725853
#> 476 25 26 1.062245 1.699981 1.648694 0.0418960375 0.04813323 -0.0379387682
#> 477 25 26 1.699981 1.775368 1.751268 0.0557444420 0.06858873 -0.0589004674
#> 478 25 26 1.775368 1.835269 1.799468 0.0578775056 0.07573508 -0.0674123106
#> 479 25 26 1.835269 1.892682 1.871069 0.0555170305 0.08271225 -0.0935887635
#> 480 25 26 1.892682 1.933662 1.914296 0.0517966716 0.08496046 -0.1086768311
#> 481 25 26 1.933662 1.972404 1.953028 0.0478400324 0.08595504 -0.1194921370
#> 482 25 26 1.972404 2.008396 1.991781 0.0439516680 0.08624128 -0.1271166354
#> 483 25 26 2.008396 2.041395 2.025010 0.0410797572 0.08613133 -0.1301498371
#> 484 25 26 2.041395 2.076143 2.057780 0.0389116167 0.08587093 -0.1258739246
#> 485 25 26 2.076143 2.117286 2.094506 0.0374174552 0.08555252 -0.1245930125
#> 486 25 26 2.117286 2.163326 2.140066 0.0369781180 0.08526352 -0.1184541469
#> 487 25 26 2.163326 2.205605 2.186586 0.0379765071 0.08514451 -0.1174199094
#> 488 25 26 2.205605 2.246900 2.224624 0.0396524780 0.08516707 -0.1106375346
#> 489 25 26 2.246900 2.293677 2.269176 0.0423079228 0.08530940 -0.1038820309
#> 490 25 26 2.293677 2.343877 2.318177 0.0457580097 0.08559795 -0.1046457326
#> 491 25 26 2.343877 2.403865 2.369576 0.0496586367 0.08602487 -0.1020417567
#> 492 25 26 2.403865 2.496138 2.438154 0.0549694704 0.08667203 -0.0984399867
#> 493 25 26 2.496138 2.627070 2.554122 0.0638804098 0.08748065 -0.0936434209
#> 494 25 26 2.627070 3.622562 2.700018 0.0747031721 0.08849371 -0.0932332612
#> 495 26 27 1.062245 1.699981 1.648694 0.0343579564 0.04993652 -0.0467455451
#> 496 26 27 1.699981 1.775368 1.751268 0.0439568432 0.07070641 -0.0737504074
#> 497 26 27 1.775368 1.835269 1.799468 0.0442530951 0.07779354 -0.0868443790
#> 498 26 27 1.835269 1.892682 1.871069 0.0395823580 0.08455512 -0.1054693782
#> 499 26 27 1.892682 1.933662 1.914296 0.0347375561 0.08667618 -0.1101400991
#> 500 26 27 1.933662 1.972404 1.953028 0.0299383105 0.08758906 -0.1201215533
#> 501 26 27 1.972404 2.008396 1.991781 0.0253472563 0.08782851 -0.1289326480
#> 502 26 27 2.008396 2.041395 2.025010 0.0219715322 0.08770248 -0.1312881047
#> 503 26 27 2.041395 2.076143 2.057780 0.0193851063 0.08744381 -0.1290501724
#> 504 26 27 2.076143 2.117286 2.094506 0.0175039789 0.08714625 -0.1317103389
#> 505 26 27 2.117286 2.163326 2.140066 0.0166897762 0.08691501 -0.1344548428
#> 506 26 27 2.163326 2.205605 2.186586 0.0174093252 0.08690131 -0.1336253658
#> 507 26 27 2.205605 2.246900 2.224624 0.0189240201 0.08704939 -0.1280811566
#> 508 26 27 2.246900 2.293677 2.269176 0.0214539319 0.08737965 -0.1256042491
#> 509 26 27 2.293677 2.343877 2.318177 0.0248276083 0.08790777 -0.1260300415
#> 510 26 27 2.343877 2.403865 2.369576 0.0286958490 0.08859215 -0.1185955708
#> 511 26 27 2.403865 2.496138 2.438154 0.0340036109 0.08954361 -0.1113372543
#> 512 26 27 2.496138 2.627070 2.554122 0.0429286928 0.09071066 -0.1041168390
#> 513 26 27 2.627070 3.622562 2.700018 0.0537449722 0.09199350 -0.1007483766
#> 514 27 28 1.062245 1.699981 1.648694 0.0276492692 0.04812858 -0.0467455451
#> 515 27 28 1.699981 1.775368 1.751268 0.0339287515 0.06748543 -0.0738977347
#> 516 27 28 1.775368 1.835269 1.799468 0.0329602066 0.07385637 -0.0889150544
#> 517 27 28 1.835269 1.892682 1.871069 0.0269234530 0.07962215 -0.1070976018
#> 518 27 28 1.892682 1.933662 1.914296 0.0215373459 0.08122250 -0.1158397438
#> 519 27 28 1.933662 1.972404 1.953028 0.0163997364 0.08173186 -0.1232467454
#> 520 27 28 1.972404 2.008396 1.991781 0.0115750301 0.08162939 -0.1310467607
#> 521 27 28 2.008396 2.041395 2.025010 0.0080581480 0.08126062 -0.1344719529
#> 522 27 28 2.041395 2.076143 2.057780 0.0053677069 0.08081026 -0.1382611448
#> 523 27 28 2.076143 2.117286 2.094506 0.0033944382 0.08035715 -0.1395505664
#> 524 27 28 2.117286 2.163326 2.140066 0.0024813867 0.08002227 -0.1381887999
#> 525 27 28 2.163326 2.205605 2.186586 0.0031014465 0.07999937 -0.1405833000
#> 526 27 28 2.205605 2.246900 2.224624 0.0045299962 0.08020114 -0.1389504854
#> 527 27 28 2.246900 2.293677 2.269176 0.0069523919 0.08064495 -0.1357893940
#> 528 27 28 2.293677 2.343877 2.318177 0.0102024467 0.08133254 -0.1292982108
#> 529 27 28 2.343877 2.403865 2.369576 0.0139408603 0.08218936 -0.1261854702
#> 530 27 28 2.403865 2.496138 2.438154 0.0190864634 0.08333535 -0.1250734350
#> 531 27 28 2.496138 2.627070 2.554122 0.0278007170 0.08471331 -0.1112540765
#> 532 27 28 2.627070 3.622562 2.700018 0.0385202136 0.08625826 -0.1033497292
#> 533 28 29 1.062245 1.699981 1.648694 0.0179251336 0.04309939 -0.0481072932
#> 534 28 29 1.699981 1.775368 1.751268 0.0194365771 0.05937601 -0.0780105442
#> 535 28 29 1.775368 1.835269 1.799468 0.0166602795 0.06434258 -0.0956501718
#> 536 28 29 1.835269 1.892682 1.871069 0.0086669210 0.06833569 -0.1101902942
#> 537 28 29 1.892682 1.933662 1.914296 0.0024906768 0.06913737 -0.1192955342
#> 538 28 29 1.933662 1.972404 1.953028 -0.0031597197 0.06913896 -0.1259651196
#> 539 28 29 1.972404 2.008396 1.991781 -0.0083620675 0.06873329 -0.1310670085
#> 540 28 29 2.008396 2.041395 2.025010 -0.0121277039 0.06826120 -0.1344972806
#> 541 28 29 2.041395 2.076143 2.057780 -0.0150180423 0.06783199 -0.1382608984
#> 542 28 29 2.076143 2.117286 2.094506 -0.0171802558 0.06750887 -0.1395505504
#> 543 28 29 2.117286 2.163326 2.140066 -0.0182949449 0.06740298 -0.1404525764
#> 544 28 29 2.163326 2.205605 2.186586 -0.0178555695 0.06757125 -0.1410741061
#> 545 28 29 2.205605 2.246900 2.224624 -0.0165598520 0.06782760 -0.1409490817
#> 546 28 29 2.246900 2.293677 2.269176 -0.0142783377 0.06818719 -0.1403429064
#> 547 28 29 2.293677 2.343877 2.318177 -0.0111681485 0.06861905 -0.1390411139
#> 548 28 29 2.343877 2.403865 2.369576 -0.0075648224 0.06909869 -0.1361846096
#> 549 28 29 2.403865 2.496138 2.438154 -0.0025917920 0.06971827 -0.1253757986
#> 550 28 29 2.496138 2.627070 2.554122 0.0058252792 0.07041708 -0.1146999560
#> 551 28 29 2.627070 3.622562 2.700018 0.0161789592 0.07146283 -0.0989676671
#> 552 29 30 1.062245 1.699981 1.648694 0.0163783385 0.04331679 -0.0482296527
#> 553 29 30 1.699981 1.775368 1.751268 0.0168476917 0.05933398 -0.0807256203
#> 554 29 30 1.775368 1.835269 1.799468 0.0135828797 0.06403278 -0.0956877093
#> 555 29 30 1.835269 1.892682 1.871069 0.0049498312 0.06753630 -0.1190647983
#> 556 29 30 1.892682 1.933662 1.914296 -0.0015377711 0.06806262 -0.1298737142
#> 557 29 30 1.933662 1.972404 1.953028 -0.0074114844 0.06787015 -0.1359394538
#> 558 29 30 1.972404 2.008396 1.991781 -0.0127839896 0.06733183 -0.1338247786
#> 559 29 30 2.008396 2.041395 2.025010 -0.0166552746 0.06678968 -0.1356705637
#> 560 29 30 2.041395 2.076143 2.057780 -0.0196169444 0.06631713 -0.1385027430
#> 561 29 30 2.076143 2.117286 2.094506 -0.0218258039 0.06595474 -0.1410203460
#> 562 29 30 2.117286 2.163326 2.140066 -0.0229597924 0.06578155 -0.1421470425
#> 563 29 30 2.163326 2.205605 2.186586 -0.0225097220 0.06583436 -0.1413045396
#> 564 29 30 2.205605 2.246900 2.224624 -0.0211921249 0.06595804 -0.1414788257
#> 565 29 30 2.246900 2.293677 2.269176 -0.0188791550 0.06613137 -0.1414991816
#> 566 29 30 2.293677 2.343877 2.318177 -0.0157355775 0.06634822 -0.1412942698
#> 567 29 30 2.343877 2.403865 2.369576 -0.0121045746 0.06662702 -0.1362845580
#> 568 29 30 2.403865 2.496138 2.438154 -0.0071082291 0.06706337 -0.1331320051
#> 569 29 30 2.496138 2.627070 2.554122 0.0013372608 0.06771234 -0.1228867938
#> 570 29 30 2.627070 3.622562 2.700018 0.0117793650 0.06911691 -0.0989676671
#> 571 30 31 1.062245 1.699981 1.648694 0.0163565961 0.04320710 -0.0482480053
#> 572 30 31 1.699981 1.775368 1.751268 0.0167705802 0.05911962 -0.0807874908
#> 573 30 31 1.775368 1.835269 1.799468 0.0134661070 0.06376685 -0.0973949572
#> 574 30 31 1.835269 1.892682 1.871069 0.0047638978 0.06721214 -0.1190647983
#> 575 30 31 1.892682 1.933662 1.914296 -0.0017660525 0.06772085 -0.1298737142
#> 576 30 31 1.933662 1.972404 1.953028 -0.0076741093 0.06752407 -0.1359394538
#> 577 30 31 1.972404 2.008396 1.991781 -0.0130746467 0.06698928 -0.1338247786
#> 578 30 31 2.008396 2.041395 2.025010 -0.0169631992 0.06645300 -0.1356705637
#> 579 30 31 2.041395 2.076143 2.057780 -0.0199348644 0.06598588 -0.1385027430
#> 580 30 31 2.076143 2.117286 2.094506 -0.0221464067 0.06562653 -0.1410203460
#> 581 30 31 2.117286 2.163326 2.140066 -0.0232724022 0.06545068 -0.1421470425
#> 582 30 31 2.163326 2.205605 2.186586 -0.0228046960 0.06549423 -0.1413045396
#> 583 30 31 2.205605 2.246900 2.224624 -0.0214692205 0.06560778 -0.1414788257
#> 584 30 31 2.246900 2.293677 2.269176 -0.0191358699 0.06576979 -0.1414991816
#> 585 30 31 2.293677 2.343877 2.318177 -0.0159755773 0.06597843 -0.1412942698
#> 586 30 31 2.343877 2.403865 2.369576 -0.0123375907 0.06625523 -0.1362845580
#> 587 30 31 2.403865 2.496138 2.438154 -0.0073511468 0.06669614 -0.1254529596
#> 588 30 31 2.496138 2.627070 2.554122 0.0010370758 0.06734626 -0.1146999560
#> 589 30 31 2.627070 3.622562 2.700018 0.0113761076 0.06873338 -0.0989676671
#> 590 31 32 1.062245 1.699981 1.648694 0.0144711834 0.04328206 -0.0482480053
#> 591 31 32 1.699981 1.775368 1.751268 0.0139332841 0.05957505 -0.0813664288
#> 592 31 32 1.775368 1.835269 1.799468 0.0102613680 0.06446406 -0.0974216426
#> 593 31 32 1.835269 1.892682 1.871069 0.0011561031 0.06823165 -0.1191204416
#> 594 31 32 1.892682 1.933662 1.914296 -0.0055383657 0.06885106 -0.1298737142
#> 595 31 32 1.933662 1.972404 1.953028 -0.0115536194 0.06866879 -0.1359394538
#> 596 31 32 1.972404 2.008396 1.991781 -0.0170331577 0.06805777 -0.1338247786
#> 597 31 32 2.008396 2.041395 2.025010 -0.0209737067 0.06738640 -0.1356705637
#> 598 31 32 2.041395 2.076143 2.057780 -0.0239871831 0.06673397 -0.1385027430
#> 599 31 32 2.076143 2.117286 2.094506 -0.0262384886 0.06612673 -0.1397353386
#> 600 31 32 2.117286 2.163326 2.140066 -0.0274077957 0.06562651 -0.1406317969
#> 601 31 32 2.163326 2.205605 2.186586 -0.0269807910 0.06536974 -0.1412890633
#> 602 31 32 2.205605 2.246900 2.224624 -0.0256775495 0.06528727 -0.1414788257
#> 603 31 32 2.246900 2.293677 2.269176 -0.0233822781 0.06528844 -0.1414991816
#> 604 31 32 2.293677 2.343877 2.318177 -0.0202663320 0.06540078 -0.1414132359
#> 605 31 32 2.343877 2.403865 2.369576 -0.0166802160 0.06564403 -0.1412748506
#> 606 31 32 2.403865 2.496138 2.438154 -0.0117748181 0.06609354 -0.1372701281
#> 607 31 32 2.496138 2.627070 2.554122 -0.0035499287 0.06677903 -0.1220904088
#> 608 31 32 2.627070 3.622562 2.700018 0.0065981010 0.06829750 -0.1120826522
#> 609 32 33 1.062245 1.699981 1.648694 0.0142789431 0.04326235 -0.0482480053
#> 610 32 33 1.699981 1.775368 1.751268 0.0135566009 0.05952678 -0.0813664288
#> 611 32 33 1.775368 1.835269 1.799468 0.0097851247 0.06439899 -0.0974216426
#> 612 32 33 1.835269 1.892682 1.871069 0.0005348386 0.06813958 -0.1191204416
#> 613 32 33 1.892682 1.933662 1.914296 -0.0062394680 0.06874357 -0.1298737142
#> 614 32 33 1.933662 1.972404 1.953028 -0.0123200103 0.06855164 -0.1359394538
#> 615 32 33 1.972404 2.008396 1.991781 -0.0178598870 0.06794024 -0.1338247786
#> 616 32 33 2.008396 2.041395 2.025010 -0.0218497170 0.06728103 -0.1364399071
#> 617 32 33 2.041395 2.076143 2.057780 -0.0249111339 0.06665605 -0.1396828229
#> 618 32 33 2.076143 2.117286 2.094506 -0.0272169929 0.06610076 -0.1415636178
#> 619 32 33 2.117286 2.163326 2.140066 -0.0284566717 0.06569544 -0.1413325028
#> 620 32 33 2.163326 2.205605 2.186586 -0.0281043167 0.06556221 -0.1412890633
#> 621 32 33 2.205605 2.246900 2.224624 -0.0268623898 0.06559120 -0.1414788257
#> 622 32 33 2.246900 2.293677 2.269176 -0.0246360683 0.06572366 -0.1414991816
#> 623 32 33 2.293677 2.343877 2.318177 -0.0215884789 0.06596979 -0.1414132359
#> 624 32 33 2.343877 2.403865 2.369576 -0.0180628669 0.06633206 -0.1412748506
#> 625 32 33 2.403865 2.496138 2.438154 -0.0132218988 0.06689986 -0.1372701281
#> 626 32 33 2.496138 2.627070 2.554122 -0.0050944930 0.06769846 -0.1220904088
#> 627 32 33 2.627070 3.622562 2.700018 0.0048862979 0.06932200 -0.1147322239
#> 628 33 34 1.062245 1.699981 1.648694 0.0140195550 0.04340174 -0.0482480053
#> 629 33 34 1.699981 1.775368 1.751268 0.0132144562 0.05971818 -0.0813664288
#> 630 33 34 1.775368 1.835269 1.799468 0.0094160905 0.06460670 -0.0974216426
#> 631 33 34 1.835269 1.892682 1.871069 0.0001252188 0.06836980 -0.1191204416
#> 632 33 34 1.892682 1.933662 1.914296 -0.0066828669 0.06899297 -0.1298737142
#> 633 33 34 1.933662 1.972404 1.953028 -0.0128036324 0.06882455 -0.1359394538
#> 634 33 34 1.972404 2.008396 1.991781 -0.0183942414 0.06824215 -0.1338247786
#> 635 33 34 2.008396 2.041395 2.025010 -0.0224355018 0.06760998 -0.1364399071
#> 636 33 34 2.041395 2.076143 2.057780 -0.0255536704 0.06701078 -0.1396828229
#> 637 33 34 2.076143 2.117286 2.094506 -0.0279283847 0.06647981 -0.1415636178
#> 638 33 34 2.117286 2.163326 2.140066 -0.0292577253 0.06609357 -0.1475912742
#> 639 33 34 2.163326 2.205605 2.186586 -0.0289973833 0.06596445 -0.1497812196
#> 640 33 34 2.205605 2.246900 2.224624 -0.0278280645 0.06598537 -0.1500879824
#> 641 33 34 2.246900 2.293677 2.269176 -0.0256811121 0.06609721 -0.1499583314
#> 642 33 34 2.293677 2.343877 2.318177 -0.0227116750 0.06631080 -0.1487062260
#> 643 33 34 2.343877 2.403865 2.369576 -0.0192574120 0.06663386 -0.1454461357
#> 644 33 34 2.403865 2.496138 2.438154 -0.0144995135 0.06714988 -0.1372701281
#> 645 33 34 2.496138 2.627070 2.554122 -0.0065160473 0.06785346 -0.1220904088
#> 646 33 34 2.627070 3.622562 2.700018 0.0032235338 0.06924716 -0.1147322239
#> 647 34 35 1.062245 1.699981 1.648694 0.0139764939 0.04360264 -0.0482480053
#> 648 34 35 1.699981 1.775368 1.751268 0.0130049181 0.06014028 -0.0813664288
#> 649 34 35 1.775368 1.835269 1.799468 0.0090626166 0.06515566 -0.0974216426
#> 650 34 35 1.835269 1.892682 1.871069 -0.0005294976 0.06910245 -0.1191204416
#> 651 34 35 1.892682 1.933662 1.914296 -0.0075642139 0.06981960 -0.1298737142
#> 652 34 35 1.933662 1.972404 1.953028 -0.0139081997 0.06972200 -0.1363321036
#> 653 34 35 1.972404 2.008396 1.991781 -0.0197322161 0.06920164 -0.1422144159
#> 654 34 35 2.008396 2.041395 2.025010 -0.0239743782 0.06862022 -0.1452448574
#> 655 34 35 2.041395 2.076143 2.057780 -0.0272853257 0.06807193 -0.1471889622
#> 656 34 35 2.076143 2.117286 2.094506 -0.0298637996 0.06759956 -0.1484937499
#> 657 34 35 2.117286 2.163326 2.140066 -0.0314207089 0.06728343 -0.1557498273
#> 658 34 35 2.163326 2.205605 2.186586 -0.0313592406 0.06721285 -0.1538255489
#> 659 34 35 2.205605 2.246900 2.224624 -0.0303271303 0.06726551 -0.1563149351
#> 660 34 35 2.246900 2.293677 2.269176 -0.0283145129 0.06739395 -0.1564347523
#> 661 34 35 2.293677 2.343877 2.318177 -0.0254654104 0.06760422 -0.1529779356
#> 662 34 35 2.343877 2.403865 2.369576 -0.0221135581 0.06790981 -0.1459414164
#> 663 34 35 2.403865 2.496138 2.438154 -0.0174641826 0.06840156 -0.1381535498
#> 664 34 35 2.496138 2.627070 2.554122 -0.0096023425 0.06911852 -0.1301170541
#> 665 34 35 2.627070 3.622562 2.700018 0.0001073632 0.07066046 -0.1370986717
#> 666 35 36 1.062245 1.699981 1.648694 0.0133770422 0.04389215 -0.0567147207
#> 667 35 36 1.699981 1.775368 1.751268 0.0119940680 0.06061527 -0.1017019827
#> 668 35 36 1.775368 1.835269 1.799468 0.0078494246 0.06577800 -0.1177341320
#> 669 35 36 1.835269 1.892682 1.871069 -0.0020404675 0.07000553 -0.1326845488
#> 670 35 36 1.892682 1.933662 1.914296 -0.0092553823 0.07089099 -0.1366121376
#> 671 35 36 1.933662 1.972404 1.953028 -0.0157650272 0.07090868 -0.1380246075
#> 672 35 36 1.972404 2.008396 1.991781 -0.0217621119 0.07044328 -0.1478997489
#> 673 35 36 2.008396 2.041395 2.025010 -0.0261603686 0.06984755 -0.1542269120
#> 674 35 36 2.041395 2.076143 2.057780 -0.0296329830 0.06922804 -0.1580101220
#> 675 35 36 2.076143 2.117286 2.094506 -0.0324016887 0.06862099 -0.1595737991
#> 676 35 36 2.117286 2.163326 2.140066 -0.0342064728 0.06809920 -0.1582600922
#> 677 35 36 2.163326 2.205605 2.186586 -0.0344091537 0.06783995 -0.1657904541
#> 678 35 36 2.205605 2.246900 2.224624 -0.0335995816 0.06779578 -0.1683132779
#> 679 35 36 2.246900 2.293677 2.269176 -0.0318537755 0.06789950 -0.1664660229
#> 680 35 36 2.293677 2.343877 2.318177 -0.0293046251 0.06818763 -0.1604836935
#> 681 35 36 2.343877 2.403865 2.369576 -0.0262729228 0.06865204 -0.1522875638
#> 682 35 36 2.403865 2.496138 2.438154 -0.0220537929 0.06935725 -0.1523238549
#> 683 35 36 2.496138 2.627070 2.554122 -0.0148995645 0.06993463 -0.1454711899
#> 684 35 36 2.627070 3.622562 2.700018 -0.0059739661 0.06983701 -0.1414376326
#> 685 36 37 1.062245 1.699981 1.648694 0.0139039714 0.04516894 -0.0566386897
#> 686 36 37 1.699981 1.775368 1.751268 0.0129041035 0.06253196 -0.0965044822
#> 687 36 37 1.775368 1.835269 1.799468 0.0089482880 0.06794141 -0.1093199979
#> 688 36 37 1.835269 1.892682 1.871069 -0.0006717863 0.07251948 -0.1213992287
#> 689 36 37 1.892682 1.933662 1.914296 -0.0077334535 0.07370434 -0.1308006375
#> 690 36 37 1.933662 1.972404 1.953028 -0.0141116101 0.07413610 -0.1380246075
#> 691 36 37 1.972404 2.008396 1.991781 -0.0199814035 0.07428705 -0.1478997489
#> 692 36 37 2.008396 2.041395 2.025010 -0.0242729233 0.07440431 -0.1542269120
#> 693 36 37 2.041395 2.076143 2.057780 -0.0276418607 0.07464456 -0.1683696691
#> 694 36 37 2.076143 2.117286 2.094506 -0.0302960912 0.07513872 -0.1860350751
#> 695 36 37 2.117286 2.163326 2.140066 -0.0319623899 0.07607008 -0.1853913178
#> 696 36 37 2.163326 2.205605 2.186586 -0.0320307486 0.07724430 -0.1842426627
#> 697 36 37 2.205605 2.246900 2.224624 -0.0311200234 0.07824723 -0.1837759108
#> 698 36 37 2.246900 2.293677 2.269176 -0.0292698042 0.07937653 -0.1818099875
#> 699 36 37 2.293677 2.343877 2.318177 -0.0266273718 0.08051432 -0.1799701919
#> 700 36 37 2.343877 2.403865 2.369576 -0.0235236221 0.08156603 -0.1788869293
#> 701 36 37 2.403865 2.496138 2.438154 -0.0192429714 0.08265780 -0.1781616255
#> 702 36 37 2.496138 2.627070 2.554122 -0.0120200840 0.08332159 -0.1776476401
#> 703 36 37 2.627070 3.622562 2.700018 -0.0029619967 0.08317234 -0.1649426065
#> CIMax Effect
#> 1 0.15557326
#> 2 0.20909942
#> 3 0.23867526
#> 4 0.25691781
#> 5 0.26074617
#> 6 0.26775109
#> 7 0.27016812
#> 8 0.27079410
#> 9 0.27058169
#> 10 0.26984312
#> 11 0.26868298
#> 12 0.26777904
#> 13 0.26613871
#> 14 0.26121271
#> 15 0.25551487
#> 16 0.25742800
#> 17 0.27197546
#> 18 0.28614422
#> 19 0.29391702
#> 20 0.15557326
#> 21 0.20909942
#> 22 0.23867526
#> 23 0.25691781
#> 24 0.26074617
#> 25 0.26719588
#> 26 0.26901064
#> 27 0.27024952
#> 28 0.26993326
#> 29 0.26523730
#> 30 0.25469497
#> 31 0.26037758
#> 32 0.25656542
#> 33 0.24947911
#> 34 0.25347684
#> 35 0.25667043
#> 36 0.27197546
#> 37 0.28614422
#> 38 0.29391702
#> 39 0.15557326
#> 40 0.20909942
#> 41 0.23867526
#> 42 0.25691781
#> 43 0.26074617
#> 44 0.26719588
#> 45 0.26901064
#> 46 0.27150947
#> 47 0.27034213
#> 48 0.26523730
#> 49 0.25469497
#> 50 0.26037758
#> 51 0.25656542
#> 52 0.24757554
#> 53 0.25328660
#> 54 0.25028515
#> 55 0.27197546
#> 56 0.28614422
#> 57 0.29391702
#> 58 0.16498118
#> 59 0.23297406
#> 60 0.25214200
#> 61 0.26930755
#> 62 0.27356894
#> 63 0.27973482
#> 64 0.29144593 +
#> 65 0.29197561 +
#> 66 0.29160025
#> 67 0.29272801
#> 68 0.28605930
#> 69 0.27281817
#> 70 0.27070102
#> 71 0.27298674
#> 72 0.27600763
#> 73 0.27858811
#> 74 0.28527957 +
#> 75 0.29507791 +
#> 76 0.30712701 +
#> 77 0.16498118
#> 78 0.23297406
#> 79 0.25214200
#> 80 0.26930755
#> 81 0.27356894
#> 82 0.27976200 +
#> 83 0.29154958 +
#> 84 0.29680186 +
#> 85 0.29160025
#> 86 0.29272801
#> 87 0.28605930
#> 88 0.27993192
#> 89 0.27092151
#> 90 0.27305569
#> 91 0.27600763
#> 92 0.27980100
#> 93 0.28736496 +
#> 94 0.29525265 +
#> 95 0.30704291 +
#> 96 0.16542610
#> 97 0.23727071
#> 98 0.25712987 +
#> 99 0.28778097 +
#> 100 0.29979390 +
#> 101 0.30705895 +
#> 102 0.31159565 +
#> 103 0.31384715 +
#> 104 0.31500456 +
#> 105 0.31526255 +
#> 106 0.31474478
#> 107 0.31390557
#> 108 0.31243159
#> 109 0.30846340
#> 110 0.30493856 +
#> 111 0.31600200 +
#> 112 0.31947105 +
#> 113 0.32647790 +
#> 114 0.33401646 +
#> 115 0.16515172
#> 116 0.23690863
#> 117 0.25130430
#> 118 0.27237346 +
#> 119 0.28250681 +
#> 120 0.28845967 +
#> 121 0.29194553 +
#> 122 0.29804608 +
#> 123 0.29969573 +
#> 124 0.29643281 +
#> 125 0.29232404
#> 126 0.28890537
#> 127 0.28676150
#> 128 0.29075231
#> 129 0.29178284 +
#> 130 0.29348143 +
#> 131 0.29677350 +
#> 132 0.30362892 +
#> 133 0.32128643 +
#> 134 0.16515172 +
#> 135 0.23275008 +
#> 136 0.24617370 +
#> 137 0.27237346 +
#> 138 0.27904429 +
#> 139 0.27978010 +
#> 140 0.29126621 +
#> 141 0.29301933 +
#> 142 0.29352616 +
#> 143 0.29400492 +
#> 144 0.29153841
#> 145 0.28094789
#> 146 0.28676150
#> 147 0.28373303
#> 148 0.28106752 +
#> 149 0.28527498 +
#> 150 0.29130117 +
#> 151 0.30003521 +
#> 152 0.31011788 +
#> 153 0.16515172 +
#> 154 0.23275008 +
#> 155 0.24617370 +
#> 156 0.27237346 +
#> 157 0.27904429 +
#> 158 0.27978010 +
#> 159 0.29126621 +
#> 160 0.29301933 +
#> 161 0.29352616
#> 162 0.29400492
#> 163 0.29153841
#> 164 0.28094789
#> 165 0.28676150
#> 166 0.28373303
#> 167 0.28106752
#> 168 0.28527498
#> 169 0.29130117 +
#> 170 0.30003521 +
#> 171 0.31011788 +
#> 172 0.17548154 +
#> 173 0.25284208 +
#> 174 0.27842027 +
#> 175 0.29870099 +
#> 176 0.29449688 +
#> 177 0.28271601 +
#> 178 0.29126621 +
#> 179 0.29301933 +
#> 180 0.29352616 +
#> 181 0.29400492
#> 182 0.29153841
#> 183 0.28094789
#> 184 0.28676150
#> 185 0.28373303
#> 186 0.28106752 +
#> 187 0.28527498 +
#> 188 0.29130117 +
#> 189 0.30003521 +
#> 190 0.31728982 +
#> 191 0.16095661
#> 192 0.16849378
#> 193 0.13391753
#> 194 0.03115840
#> 195 -0.07417714 -
#> 196 -0.18967781 -
#> 197 -0.31301200 -
#> 198 -0.42175624 -
#> 199 -0.51365515 -
#> 200 -0.62444279 -
#> 201 -0.74105760 -
#> 202 -0.84862564 -
#> 203 -0.91696011 -
#> 204 -0.97505043 -
#> 205 -1.00172532 -
#> 206 -1.00966300 -
#> 207 -1.00799473 -
#> 208 -0.99959063 -
#> 209 -0.99534816 -
#> 210 0.16095661
#> 211 0.16849378
#> 212 0.13485518
#> 213 0.03115840
#> 214 -0.07622235 -
#> 215 -0.18989268 -
#> 216 -0.31767336 -
#> 217 -0.42278169 -
#> 218 -0.53096297 -
#> 219 -0.64229228 -
#> 220 -0.76128796 -
#> 221 -0.85921073 -
#> 222 -0.92735043 -
#> 223 -0.98268862 -
#> 224 -1.01192625 -
#> 225 -1.02225045 -
#> 226 -1.02475002 -
#> 227 -1.01915846 -
#> 228 -1.00657538 -
#> 229 0.15254819
#> 230 0.16849378
#> 231 0.13485518
#> 232 0.03115840
#> 233 -0.07622235 -
#> 234 -0.19516670 -
#> 235 -0.32175554 -
#> 236 -0.42969281 -
#> 237 -0.53533188 -
#> 238 -0.64755847 -
#> 239 -0.76565080 -
#> 240 -0.86774051 -
#> 241 -0.93188426 -
#> 242 -0.98582306 -
#> 243 -1.02410586 -
#> 244 -1.04161208 -
#> 245 -1.05046512 -
#> 246 -1.04356260 -
#> 247 -1.01920161 -
#> 248 0.15254819
#> 249 0.16849378
#> 250 0.13485518
#> 251 0.03115840
#> 252 -0.07622235 -
#> 253 -0.19516670 -
#> 254 -0.32175554 -
#> 255 -0.42969281 -
#> 256 -0.53533188 -
#> 257 -0.64755847 -
#> 258 -0.76834899 -
#> 259 -0.86781050 -
#> 260 -0.93188426 -
#> 261 -0.98582306 -
#> 262 -1.02410586 -
#> 263 -1.04161208 -
#> 264 -1.05046512 -
#> 265 -1.04356260 -
#> 266 -1.02097775 -
#> 267 0.15254819
#> 268 0.16849378
#> 269 0.13669172
#> 270 0.03608219
#> 271 -0.07413693 -
#> 272 -0.18989043 -
#> 273 -0.31656337 -
#> 274 -0.42695632 -
#> 275 -0.53094287 -
#> 276 -0.63925043 -
#> 277 -0.75142742 -
#> 278 -0.84848285 -
#> 279 -0.91556620 -
#> 280 -0.97387797 -
#> 281 -1.00676325 -
#> 282 -1.01709401 -
#> 283 -1.02376379 -
#> 284 -1.02024862 -
#> 285 -0.99834344 -
#> 286 0.16467858
#> 287 0.22897043
#> 288 0.24259983
#> 289 0.25155285
#> 290 0.24836815
#> 291 0.24936622
#> 292 0.24645979
#> 293 0.24239460
#> 294 0.23713573
#> 295 0.23527657
#> 296 0.23967036
#> 297 0.24603609
#> 298 0.24759785
#> 299 0.24820275
#> 300 0.25897911
#> 301 0.26299360
#> 302 0.26165167 +
#> 303 0.26179837 +
#> 304 0.28658748 +
#> 305 0.16467858
#> 306 0.22897043
#> 307 0.24259983
#> 308 0.24923410
#> 309 0.24934017
#> 310 0.24936622
#> 311 0.24645979
#> 312 0.24245066
#> 313 0.23781424
#> 314 0.23666989
#> 315 0.24059414
#> 316 0.24665389
#> 317 0.25222704
#> 318 0.25864966
#> 319 0.25897911
#> 320 0.25295903
#> 321 0.25089145
#> 322 0.25950929
#> 323 0.28615515
#> 324 0.16467858
#> 325 0.22897043
#> 326 0.24259983
#> 327 0.24460655
#> 328 0.24591413
#> 329 0.24316976
#> 330 0.23935568
#> 331 0.23611111
#> 332 0.23530290
#> 333 0.23527657
#> 334 0.23967036
#> 335 0.23686127
#> 336 0.23446493
#> 337 0.23172285
#> 338 0.23456191
#> 339 0.23930912 +
#> 340 0.24506139 +
#> 341 0.24702732 +
#> 342 0.27908171 +
#> 343 0.17551069
#> 344 0.23938904
#> 345 0.24580874
#> 346 0.25317118
#> 347 0.25416290
#> 348 0.25480477
#> 349 0.25988132
#> 350 0.26240818
#> 351 0.26388593
#> 352 0.26497785
#> 353 0.26623313
#> 354 0.26786246
#> 355 0.26950580
#> 356 0.27164980
#> 357 0.28261217 +
#> 358 0.29362961 +
#> 359 0.29764844 +
#> 360 0.29598277 +
#> 361 0.31437541 +
#> 362 0.17551069
#> 363 0.23938904
#> 364 0.24580874
#> 365 0.25317118
#> 366 0.25416290
#> 367 0.25480477
#> 368 0.25988132
#> 369 0.26240818
#> 370 0.26388593
#> 371 0.26497785
#> 372 0.26623313
#> 373 0.26786246
#> 374 0.26950580
#> 375 0.27164980
#> 376 0.28261217 +
#> 377 0.29362961 +
#> 378 0.29764844 +
#> 379 0.29598277 +
#> 380 0.31437541 +
#> 381 0.16788336
#> 382 0.23251035
#> 383 0.24263546
#> 384 0.24925263
#> 385 0.24934696
#> 386 0.25206207
#> 387 0.25047149
#> 388 0.24919938
#> 389 0.24836134
#> 390 0.24809633
#> 391 0.25249916
#> 392 0.25660479
#> 393 0.25931540
#> 394 0.26591040
#> 395 0.27384080
#> 396 0.27642226 +
#> 397 0.28011763 +
#> 398 0.29053049 +
#> 399 0.29573641 +
#> 400 0.16788336
#> 401 0.23251035
#> 402 0.24263546
#> 403 0.24925263
#> 404 0.24934696
#> 405 0.25206207
#> 406 0.25047149
#> 407 0.24919938
#> 408 0.24836134
#> 409 0.24809633
#> 410 0.25249916
#> 411 0.25660479
#> 412 0.25931540
#> 413 0.27140775
#> 414 0.27408628
#> 415 0.27666654 +
#> 416 0.28037331 +
#> 417 0.29179911 +
#> 418 0.30084322 +
#> 419 0.16788336
#> 420 0.23251035
#> 421 0.24263546
#> 422 0.24925263
#> 423 0.24934696
#> 424 0.25206207
#> 425 0.25047149
#> 426 0.24919938
#> 427 0.24836134
#> 428 0.24809633
#> 429 0.25249916
#> 430 0.25660479
#> 431 0.25931540
#> 432 0.26148673
#> 433 0.26513613
#> 434 0.27025014 +
#> 435 0.27962423 +
#> 436 0.29053049 +
#> 437 0.29573641 +
#> 438 0.16809955
#> 439 0.23938904
#> 440 0.24313540
#> 441 0.25283203
#> 442 0.25366507
#> 443 0.25447665
#> 444 0.25958561
#> 445 0.26217483
#> 446 0.26373574
#> 447 0.26493292
#> 448 0.26623313
#> 449 0.26786246
#> 450 0.26950580
#> 451 0.27164980
#> 452 0.27408628
#> 453 0.27666654
#> 454 0.28037331
#> 455 0.29179911
#> 456 0.30078415
#> 457 0.16809955
#> 458 0.23938904
#> 459 0.24313540
#> 460 0.25283203
#> 461 0.25366507
#> 462 0.25447665
#> 463 0.25958561
#> 464 0.26217483
#> 465 0.26373574
#> 466 0.26493292
#> 467 0.26623313
#> 468 0.26786246
#> 469 0.26950580
#> 470 0.27164980
#> 471 0.27408628
#> 472 0.27666654
#> 473 0.28037331
#> 474 0.29179911
#> 475 0.30078415
#> 476 0.13936098
#> 477 0.19458092
#> 478 0.21153817
#> 479 0.22875287
#> 480 0.22689820
#> 481 0.22280404
#> 482 0.21500194
#> 483 0.20876398
#> 484 0.20371696
#> 485 0.19978987
#> 486 0.19755388
#> 487 0.19422734
#> 488 0.19696945
#> 489 0.19706250
#> 490 0.20361499
#> 491 0.20705198
#> 492 0.21085741
#> 493 0.22457056
#> 494 0.24500863
#> 495 0.13936098
#> 496 0.19458092
#> 497 0.21153817
#> 498 0.22875287
#> 499 0.21568793
#> 500 0.20423513
#> 501 0.19513242
#> 502 0.19136824
#> 503 0.18975146
#> 504 0.18854777
#> 505 0.18958592
#> 506 0.19355314
#> 507 0.19696945
#> 508 0.19682833
#> 509 0.19840488
#> 510 0.20329179
#> 511 0.20765320
#> 512 0.21173283
#> 513 0.23895766
#> 514 0.13464152
#> 515 0.19055072
#> 516 0.18980727
#> 517 0.19912948
#> 518 0.19934692
#> 519 0.19427318
#> 520 0.18868180
#> 521 0.18761453
#> 522 0.18314707
#> 523 0.17725624
#> 524 0.17964121
#> 525 0.18274370
#> 526 0.18252801
#> 527 0.18691092
#> 528 0.19014601
#> 529 0.19400380
#> 530 0.19927344
#> 531 0.21085982
#> 532 0.22399170
#> 533 0.11619485
#> 534 0.14431008
#> 535 0.15112758
#> 536 0.15491571
#> 537 0.14954005
#> 538 0.14594486
#> 539 0.14080337
#> 540 0.13808558
#> 541 0.13544134
#> 542 0.13180119
#> 543 0.12978143
#> 544 0.13585263
#> 545 0.14225157
#> 546 0.14885881
#> 547 0.15480869
#> 548 0.15642270
#> 549 0.16530185
#> 550 0.17829857
#> 551 0.18567856
#> 552 0.11619485
#> 553 0.14431008
#> 554 0.15112758
#> 555 0.15290924
#> 556 0.14791126
#> 557 0.13264606
#> 558 0.11988502
#> 559 0.11268506
#> 560 0.11561879
#> 561 0.12079953
#> 562 0.12846110
#> 563 0.13147642
#> 564 0.14007590
#> 565 0.14256899
#> 566 0.14183261
#> 567 0.13854092
#> 568 0.13771232
#> 569 0.14181676
#> 570 0.16616539
#> 571 0.11619485
#> 572 0.14431008
#> 573 0.15112758
#> 574 0.15290924
#> 575 0.14791126
#> 576 0.13264606
#> 577 0.11988502
#> 578 0.11268506
#> 579 0.11561879
#> 580 0.12079953
#> 581 0.12846110
#> 582 0.13147642
#> 583 0.14007590
#> 584 0.14256899
#> 585 0.14183261
#> 586 0.13854092
#> 587 0.13771232
#> 588 0.14181676
#> 589 0.16616539
#> 590 0.11143340
#> 591 0.14214316
#> 592 0.13892510
#> 593 0.12574124
#> 594 0.11874029
#> 595 0.11366165
#> 596 0.11137645
#> 597 0.11133034
#> 598 0.10669701
#> 599 0.10492974
#> 600 0.10664567
#> 601 0.11070783
#> 602 0.11438621
#> 603 0.11781530
#> 604 0.11963246
#> 605 0.11927373
#> 606 0.12155730
#> 607 0.13291722
#> 608 0.15730672
#> 609 0.11143340
#> 610 0.14214316
#> 611 0.13892510
#> 612 0.12574124
#> 613 0.11874029
#> 614 0.11366165
#> 615 0.11137645
#> 616 0.11133034
#> 617 0.10669701
#> 618 0.10492974
#> 619 0.10664567
#> 620 0.11070783
#> 621 0.11438621
#> 622 0.11781530
#> 623 0.11963246
#> 624 0.11927373
#> 625 0.12155730
#> 626 0.13291722
#> 627 0.15730672
#> 628 0.11143340
#> 629 0.14180648
#> 630 0.13890493
#> 631 0.12567977
#> 632 0.11866823
#> 633 0.11366165
#> 634 0.11137645
#> 635 0.11133034
#> 636 0.10664780
#> 637 0.10396247
#> 638 0.09311856
#> 639 0.08594305
#> 640 0.08888931
#> 641 0.09408030
#> 642 0.10124074
#> 643 0.10960960
#> 644 0.11603828
#> 645 0.12269279
#> 646 0.15730672
#> 647 0.11142850
#> 648 0.14180648
#> 649 0.13890493
#> 650 0.12567977
#> 651 0.11866823
#> 652 0.11360897
#> 653 0.11130692
#> 654 0.10800059
#> 655 0.10268299
#> 656 0.09983974
#> 657 0.09297743
#> 658 0.08578313
#> 659 0.08869876
#> 660 0.09362037
#> 661 0.09474419
#> 662 0.09926627
#> 663 0.10741667
#> 664 0.12046662
#> 665 0.14794355
#> 666 0.11596890
#> 667 0.12192017
#> 668 0.12778503
#> 669 0.12283721
#> 670 0.11606173
#> 671 0.10924760
#> 672 0.10301255
#> 673 0.09622964
#> 674 0.09017180
#> 675 0.08392273
#> 676 0.08319102
#> 677 0.08542188
#> 678 0.08841847
#> 679 0.09362037
#> 680 0.09321797
#> 681 0.09354493
#> 682 0.10341691
#> 683 0.11777156
#> 684 0.12807981
#> 685 0.11845123
#> 686 0.14381345
#> 687 0.14044792
#> 688 0.13499246
#> 689 0.14276447
#> 690 0.14923104
#> 691 0.13685365
#> 692 0.13045256
#> 693 0.14379686
#> 694 0.15492594
#> 695 0.17662260
#> 696 0.18358664
#> 697 0.18026192
#> 698 0.17404608
#> 699 0.17843116
#> 700 0.18461969
#> 701 0.19664023
#> 702 0.20003109
#> 703 0.20744684
#>
#> $matfit
#> [,1] [,2] [,3] [,4] [,5]
#> 1.64869392029419 0.05180048 0.05396632 0.05493091 0.06414937 0.06459185
#> 1.75126810787332 0.08075873 0.08426523 0.08611785 0.09974032 0.10052097
#> 1.79946777896389 0.09276853 0.09690120 0.09921633 0.11449299 0.11545232
#> 1.87106930768594 0.10646339 0.11146883 0.11443276 0.13150204 0.13273429
#> 1.91429554166968 0.11176650 0.11726309 0.12056428 0.13837052 0.13976728
#> 1.95302761682418 0.11448727 0.12040581 0.12396292 0.14226395 0.14380623
#> 1.99178060312141 0.11535644 0.12168493 0.12545198 0.14413885 0.14582389
#> 2.02501049762032 0.11478880 0.12146209 0.12537376 0.14433556 0.14613968
#> 2.05778004489866 0.11327292 0.12028172 0.12430683 0.14351028 0.14542749
#> 2.09450607114123 0.11079979 0.11817971 0.12230194 0.14175830 0.14379502
#> 2.14006616349627 0.10725720 0.11508867 0.11929507 0.13905450 0.14122459
#> 2.18658617913116 0.10392018 0.11219772 0.11645814 0.13652100 0.13880445
#> 2.22462355152433 0.10189879 0.11052449 0.11481132 0.13511534 0.13747040
#> 2.26917603086292 0.10066343 0.10967079 0.11397397 0.13454594 0.13695782
#> 2.31817718775388 0.10079275 0.11017840 0.11448742 0.13532832 0.13776803
#> 2.36957596181032 0.10237423 0.11210150 0.11640984 0.13750017 0.13993257
#> 2.43815433799455 0.10604360 0.11613331 0.12044378 0.14182519 0.14420055
#> 2.55412171880947 0.11396114 0.12445732 0.12883339 0.15069128 0.15289703
#> 2.70001802940495 0.12399933 0.13480135 0.13942805 0.16200349 0.16396830
#> [,6] [,7] [,8] [,9] [,10]
#> 1.64869392029419 0.06569109 0.06611845 0.06606064 0.06684563 0.07003336
#> 1.75126810787332 0.10249080 0.10288573 0.10280970 0.10383399 0.10816282
#> 1.79946777896389 0.11789235 0.11814166 0.11801719 0.11908353 0.12364275
#> 1.87106930768594 0.13589697 0.13575892 0.13547343 0.13652632 0.14101182
#> 1.91429554166968 0.14336067 0.14290853 0.14246630 0.14348399 0.14773198
#> 1.95302761682418 0.14777294 0.14700973 0.14639162 0.14737247 0.15133490
#> 1.99178060312141 0.15014844 0.14906646 0.14824550 0.14919200 0.15284205
#> 2.02501049762032 0.15075788 0.14941201 0.14840208 0.14932480 0.15271303
#> 2.05778004489866 0.15032430 0.14873895 0.14753465 0.14844054 0.15159371
#> 2.09450607114123 0.14899368 0.14717627 0.14575011 0.14664491 0.14957446
#> 2.14006616349627 0.14678779 0.14474963 0.14304848 0.14393870 0.14665677
#> 2.18658617913116 0.14473478 0.14255644 0.14057863 0.14147009 0.14404273
#> 2.22462355152433 0.14369958 0.14146975 0.13926964 0.14016301 0.14265938
#> 2.26917603086292 0.14353416 0.14130749 0.13885220 0.13974589 0.14218738
#> 2.31817718775388 0.14471540 0.14255312 0.13982671 0.14071707 0.14312440
#> 2.36957596181032 0.14724375 0.14519102 0.14219872 0.14308321 0.14546810
#> 2.43815433799455 0.15193262 0.15004741 0.14674871 0.14763054 0.14998698
#> 2.55412171880947 0.16113599 0.15948821 0.15584199 0.15677096 0.15905391
#> 2.70001802940495 0.17254915 0.17106646 0.16724564 0.16835181 0.17053551
#> [,11] [,12] [,13] [,14]
#> 1.64869392029419 0.053100077 0.053222684 0.05215213 0.051914006
#> 1.75126810787332 0.035078458 0.035470088 0.03351215 0.033022201
#> 1.79946777896389 -0.004879571 -0.004266147 -0.00671536 -0.007376215
#> 1.87106930768594 -0.118521057 -0.117480508 -0.12069936 -0.121694223
#> 1.91429554166968 -0.220434181 -0.219121822 -0.22280473 -0.224051106
#> 1.95302761682418 -0.330122892 -0.328599818 -0.33268394 -0.334184676
#> 1.99178060312141 -0.452033660 -0.450366083 -0.45482817 -0.456604074
#> 2.02501049762032 -0.561102051 -0.559385216 -0.56414666 -0.566167614
#> 2.05778004489866 -0.667847326 -0.666160574 -0.67119074 -0.673454098
#> 2.09450607114123 -0.781040242 -0.779481192 -0.78477798 -0.787304989
#> 2.14006616349627 -0.904613943 -0.903332242 -0.90890630 -0.911735662
#> 2.18658617913116 -1.005629537 -1.004719830 -1.01051610 -1.013613834
#> 2.22462355152433 -1.067938532 -1.067355906 -1.07329092 -1.076572680
#> 2.26917603086292 -1.119328122 -1.119108894 -1.12516283 -1.128618161
#> 2.31817718775388 -1.153663749 -1.153779458 -1.15991891 -1.163514741
#> 2.36957596181032 -1.171746054 -1.172119108 -1.17830932 -1.182000717
#> 2.43815433799455 -1.179027818 -1.179605158 -1.18582219 -1.189570309
#> 2.55412171880947 -1.174217869 -1.174915696 -1.18113009 -1.184845039
#> 2.70001802940495 -1.162879700 -1.163604404 -1.16980436 -1.173405632
#> [,15] [,16] [,17] [,18] [,19]
#> 1.64869392029419 0.052387520 0.06664872 0.06613325 0.06417024 0.06499086
#> 1.75126810787332 0.034117078 0.09734554 0.09647805 0.09333214 0.09499111
#> 1.79946777896389 -0.005848129 0.10708969 0.10603083 0.10248612 0.10472269
#> 1.87106930768594 -0.119350172 0.11411532 0.11273623 0.10898935 0.11233535
#> 1.91429554166968 -0.221132069 0.11459133 0.11299530 0.10938884 0.11353898
#> 1.95302761682418 -0.330720025 0.11342362 0.11161848 0.10829302 0.11322714
#> 1.99178060312141 -0.452588994 0.11149724 0.10947139 0.10654126 0.11229363
#> 2.02501049762032 -0.561697371 0.10975614 0.10753480 0.10500171 0.11146070
#> 2.05778004489866 -0.668567887 0.10831254 0.10589569 0.10377578 0.11091735
#> 2.09450607114123 -0.782009636 0.10729406 0.10465800 0.10299311 0.11086350
#> 2.14006616349627 -0.906038716 0.10713187 0.10422778 0.10307139 0.11176788
#> 2.18658617913116 -1.007641486 0.10823631 0.10506614 0.10433040 0.11376066
#> 2.22462355152433 -1.070474192 0.10995992 0.10657932 0.10610501 0.11604544
#> 2.26917603086292 -1.122470220 0.11268675 0.10906969 0.10881487 0.11924925
#> 2.31817718775388 -1.157405368 0.11626533 0.11240511 0.11230670 0.12316028
#> 2.36957596181032 -1.175995901 0.12035652 0.11626883 0.11627198 0.12743602
#> 2.43815433799455 -1.183741531 0.12596996 0.12164108 0.12173107 0.13312719
#> 2.55412171880947 -1.179268461 0.13538044 0.13084157 0.13104275 0.14246057
#> 2.70001802940495 -1.167983290 0.14676876 0.14223827 0.14253948 0.15362953
#> [,20] [,21] [,22] [,23] [,24]
#> 1.64869392029419 0.06489489 0.06409413 0.06311105 0.06236427 0.05969989
#> 1.75126810787332 0.09479458 0.09354190 0.09198413 0.09052699 0.08580423
#> 1.79946777896389 0.10447958 0.10303773 0.10123252 0.09940342 0.09364465
#> 1.87106930768594 0.11204580 0.11038030 0.10827197 0.10591478 0.09869596
#> 1.91429554166968 0.11324247 0.11147905 0.10923073 0.10658936 0.09858641
#> 1.95302761682418 0.11294052 0.11111191 0.10876477 0.10589481 0.09727005
#> 1.99178060312141 0.11203239 0.11015745 0.10773402 0.10465693 0.09549161
#> 2.02501049762032 0.11123300 0.10933129 0.10685806 0.10361586 0.09405176
#> 2.05778004489866 0.11073255 0.10881442 0.10630415 0.10290557 0.09300418
#> 2.09450607114123 0.11073738 0.10881074 0.10627120 0.10269954 0.09248140
#> 2.14006616349627 0.11172861 0.10980320 0.10724285 0.10345300 0.09292218
#> 2.18658617913116 0.11382431 0.11191037 0.10934491 0.10532425 0.09455211
#> 2.22462355152433 0.11620229 0.11430292 0.11174566 0.10753090 0.09660942
#> 2.26917603086292 0.11952270 0.11764362 0.11511198 0.11066816 0.09961532
#> 2.31817718775388 0.12356580 0.12170990 0.11923033 0.11454074 0.10338533
#> 2.36957596181032 0.12797577 0.12614231 0.12374910 0.11881957 0.10759188
#> 2.43815433799455 0.13382284 0.13201400 0.12978948 0.12458407 0.11330250
#> 2.55412171880947 0.14332558 0.14154713 0.13969638 0.13415880 0.12287616
#> 2.70001802940495 0.15456695 0.15281646 0.15133373 0.14556491 0.13440228
#> [,25] [,26] [,27] [,28] [,29]
#> 1.64869392029419 0.05754615 0.04189604 0.03435796 0.027649269 0.017925134
#> 1.75126810787332 0.08213101 0.05574444 0.04395684 0.033928751 0.019436577
#> 1.79946777896389 0.08923206 0.05787751 0.04425310 0.032960207 0.016660279
#> 1.87106930768594 0.09325978 0.05551703 0.03958236 0.026923453 0.008666921
#> 1.91429554166968 0.09260338 0.05179667 0.03473756 0.021537346 0.002490677
#> 1.95302761682418 0.09085008 0.04784003 0.02993831 0.016399736 -0.003159720
#> 1.99178060312141 0.08868513 0.04395167 0.02534726 0.011575030 -0.008362068
#> 2.02501049762032 0.08695265 0.04107976 0.02197153 0.008058148 -0.012127704
#> 2.05778004489866 0.08564932 0.03891162 0.01938511 0.005367707 -0.015018042
#> 2.09450607114123 0.08487523 0.03741746 0.01750398 0.003394438 -0.017180256
#> 2.14006616349627 0.08504908 0.03697812 0.01668978 0.002481387 -0.018294945
#> 2.18658617913116 0.08644647 0.03797651 0.01740933 0.003101447 -0.017855569
#> 2.22462355152433 0.08833361 0.03965248 0.01892402 0.004529996 -0.016559852
#> 2.26917603086292 0.09115086 0.04230792 0.02145393 0.006952392 -0.014278338
#> 2.31817718775388 0.09471271 0.04575801 0.02482761 0.010202447 -0.011168148
#> 2.36957596181032 0.09868829 0.04965864 0.02869585 0.013940860 -0.007564822
#> 2.43815433799455 0.10406449 0.05496947 0.03400361 0.019086463 -0.002591792
#> 2.55412171880947 0.11304277 0.06388041 0.04292869 0.027800717 0.005825279
#> 2.70001802940495 0.12390527 0.07470317 0.05374497 0.038520214 0.016178959
#> [,30] [,31] [,32] [,33]
#> 1.64869392029419 0.016378339 0.016356596 0.014471183 0.0142789431
#> 1.75126810787332 0.016847692 0.016770580 0.013933284 0.0135566009
#> 1.79946777896389 0.013582880 0.013466107 0.010261368 0.0097851247
#> 1.87106930768594 0.004949831 0.004763898 0.001156103 0.0005348386
#> 1.91429554166968 -0.001537771 -0.001766052 -0.005538366 -0.0062394680
#> 1.95302761682418 -0.007411484 -0.007674109 -0.011553619 -0.0123200103
#> 1.99178060312141 -0.012783990 -0.013074647 -0.017033158 -0.0178598870
#> 2.02501049762032 -0.016655275 -0.016963199 -0.020973707 -0.0218497170
#> 2.05778004489866 -0.019616944 -0.019934864 -0.023987183 -0.0249111339
#> 2.09450607114123 -0.021825804 -0.022146407 -0.026238489 -0.0272169929
#> 2.14006616349627 -0.022959792 -0.023272402 -0.027407796 -0.0284566717
#> 2.18658617913116 -0.022509722 -0.022804696 -0.026980791 -0.0281043167
#> 2.22462355152433 -0.021192125 -0.021469220 -0.025677550 -0.0268623898
#> 2.26917603086292 -0.018879155 -0.019135870 -0.023382278 -0.0246360683
#> 2.31817718775388 -0.015735578 -0.015975577 -0.020266332 -0.0215884789
#> 2.36957596181032 -0.012104575 -0.012337591 -0.016680216 -0.0180628669
#> 2.43815433799455 -0.007108229 -0.007351147 -0.011774818 -0.0132218988
#> 2.55412171880947 0.001337261 0.001037076 -0.003549929 -0.0050944930
#> 2.70001802940495 0.011779365 0.011376108 0.006598101 0.0048862979
#> [,34] [,35] [,36] [,37]
#> 1.64869392029419 0.0140195550 0.0139764939 0.013377042 0.0139039714
#> 1.75126810787332 0.0132144562 0.0130049181 0.011994068 0.0129041035
#> 1.79946777896389 0.0094160905 0.0090626166 0.007849425 0.0089482880
#> 1.87106930768594 0.0001252188 -0.0005294976 -0.002040467 -0.0006717863
#> 1.91429554166968 -0.0066828669 -0.0075642139 -0.009255382 -0.0077334535
#> 1.95302761682418 -0.0128036324 -0.0139081997 -0.015765027 -0.0141116101
#> 1.99178060312141 -0.0183942414 -0.0197322161 -0.021762112 -0.0199814035
#> 2.02501049762032 -0.0224355018 -0.0239743782 -0.026160369 -0.0242729233
#> 2.05778004489866 -0.0255536704 -0.0272853257 -0.029632983 -0.0276418607
#> 2.09450607114123 -0.0279283847 -0.0298637996 -0.032401689 -0.0302960912
#> 2.14006616349627 -0.0292577253 -0.0314207089 -0.034206473 -0.0319623899
#> 2.18658617913116 -0.0289973833 -0.0313592406 -0.034409154 -0.0320307486
#> 2.22462355152433 -0.0278280645 -0.0303271303 -0.033599582 -0.0311200234
#> 2.26917603086292 -0.0256811121 -0.0283145129 -0.031853775 -0.0292698042
#> 2.31817718775388 -0.0227116750 -0.0254654104 -0.029304625 -0.0266273718
#> 2.36957596181032 -0.0192574120 -0.0221135581 -0.026272923 -0.0235236221
#> 2.43815433799455 -0.0144995135 -0.0174641826 -0.022053793 -0.0192429714
#> 2.55412171880947 -0.0065160473 -0.0096023425 -0.014899565 -0.0120200840
#> 2.70001802940495 0.0032235338 0.0001073632 -0.005973966 -0.0029619967
#>
#> $cilower
#> [,1] [,2] [,3] [,4]
#> 1.64869392029419 -0.02566559 -0.01992321 -0.02528812 -0.0040281918
#> 1.75126810787332 -0.03616229 -0.02795071 -0.02764054 -0.0115851628
#> 1.79946777896389 -0.05061743 -0.03165700 -0.03181751 -0.0129169673
#> 1.87106930768594 -0.06189445 -0.04393705 -0.04334672 -0.0047469740
#> 1.91429554166968 -0.06386696 -0.05591172 -0.04998356 -0.0070729312
#> 1.95302761682418 -0.07000700 -0.05378676 -0.04844219 -0.0021368695
#> 1.99178060312141 -0.07316508 -0.05583882 -0.04558596 0.0036880079
#> 2.02501049762032 -0.07854924 -0.05599624 -0.04878762 0.0010637936
#> 2.05778004489866 -0.09559501 -0.05476109 -0.05266295 -0.0012516067
#> 2.09450607114123 -0.10674926 -0.05798276 -0.05650937 -0.0023895901
#> 2.14006616349627 -0.10596998 -0.06270902 -0.05775644 -0.0008443261
#> 2.18658617913116 -0.11230840 -0.06004752 -0.05409120 -0.0026646777
#> 2.22462355152433 -0.11361037 -0.05694067 -0.04871255 -0.0032437349
#> 2.26917603086292 -0.10917956 -0.05224750 -0.04582086 -0.0027751280
#> 2.31817718775388 -0.10105742 -0.06158891 -0.04452058 -0.0044853332
#> 2.36957596181032 -0.09258044 -0.05804102 -0.03891231 -0.0021979315
#> 2.43815433799455 -0.10901485 -0.05142520 -0.03448054 0.0026528762
#> 2.55412171880947 -0.10640584 -0.04255512 -0.03370507 0.0136460559
#> 2.70001802940495 -0.11199536 -0.03919575 -0.03726121 0.0195696743
#> [,5] [,6] [,7] [,8]
#> 1.64869392029419 -0.0040281918 -0.0030716436 -0.0030716436 0.0011922134
#> 1.75126810787332 -0.0115851628 -0.0052985616 -0.0053323780 0.0036082021
#> 1.79946777896389 -0.0129169673 0.0029884360 -0.0054091912 0.0040215096
#> 1.87106930768594 -0.0040212706 0.0041500784 0.0041500784 0.0102159977
#> 1.91429554166968 -0.0007342728 0.0043105269 0.0043105269 0.0089046006
#> 1.95302761682418 0.0036789281 0.0038282001 0.0038282001 0.0068454041
#> 1.99178060312141 0.0041000201 0.0053071753 0.0053071753 0.0053071753
#> 2.02501049762032 0.0015291836 0.0052447078 0.0052447078 0.0052447078
#> 2.05778004489866 -0.0009735812 0.0034308498 0.0034308498 0.0034308498
#> 2.09450607114123 -0.0023895901 0.0006454727 0.0006454727 0.0006454727
#> 2.14006616349627 -0.0025161050 -0.0025161050 -0.0025161050 -0.0025161050
#> 2.18658617913116 -0.0049266201 -0.0049266201 -0.0049266201 -0.0049266201
#> 2.22462355152433 -0.0060207714 -0.0060207714 -0.0060207714 -0.0060207714
#> 2.26917603086292 -0.0048136836 -0.0048136836 -0.0048136836 -0.0048136836
#> 2.31817718775388 -0.0044693777 0.0007185857 0.0007185857 0.0007185857
#> 2.36957596181032 -0.0020400350 0.0002570846 0.0002570846 0.0002570846
#> 2.43815433799455 0.0025684063 0.0027113623 0.0027113623 0.0027113623
#> 2.55412171880947 0.0123282704 0.0123282704 0.0123282704 0.0123282704
#> 2.70001802940495 0.0178480930 0.0178480930 0.0178480930 0.0178480930
#> [,9] [,10] [,11] [,12]
#> 1.64869392029419 0.0014511970 0.0016540593 -0.01417365 -0.01417365
#> 1.75126810787332 0.0056087438 0.0059118274 -0.06735583 -0.06315040
#> 1.79946777896389 0.0085933560 0.0090341856 -0.11789480 -0.11556481
#> 1.87106930768594 0.0102091123 0.0107258977 -0.24566982 -0.24375035
#> 1.91429554166968 0.0088915757 0.0104821063 -0.34948950 -0.34687782
#> 1.95302761682418 0.0068112605 0.0097322949 -0.45699204 -0.45181923
#> 1.99178060312141 0.0041000201 0.0099375535 -0.58557223 -0.58209809
#> 2.02501049762032 0.0015291836 0.0050037998 -0.70955951 -0.70228972
#> 2.05778004489866 -0.0009735812 0.0023681557 -0.82187220 -0.81410026
#> 2.09450607114123 -0.0034574095 -0.0006076555 -0.94385990 -0.92101191
#> 2.14006616349627 -0.0057095177 -0.0039913450 -1.06863469 -1.05385217
#> 2.18658617913116 -0.0068288774 -0.0065983012 -1.16232443 -1.16133108
#> 2.22462355152433 -0.0068598943 -0.0068476150 -1.22439360 -1.21970091
#> 2.26917603086292 -0.0060707867 -0.0048136836 -1.28121568 -1.26725156
#> 2.31817718775388 -0.0049513114 0.0026208861 -1.30877157 -1.29346408
#> 2.36957596181032 -0.0020400350 0.0034656850 -1.31695628 -1.31199127
#> 2.43815433799455 0.0027113623 0.0066260398 -1.32138819 -1.32047517
#> 2.55412171880947 0.0123282704 0.0177202087 -1.32435186 -1.30802821
#> 2.70001802940495 0.0178480930 0.0177935979 -1.32466951 -1.31882877
#> [,13] [,14] [,15] [,16]
#> 1.64869392029419 -0.01456868 -0.01417365 -0.01387162 -0.0017939939
#> 1.75126810787332 -0.06411259 -0.06315040 -0.06308691 -0.0029804398
#> 1.79946777896389 -0.11556481 -0.11556481 -0.11400477 -0.0038790846
#> 1.87106930768594 -0.24375035 -0.24375035 -0.24375035 -0.0154475053
#> 1.91429554166968 -0.34687782 -0.34687782 -0.34687782 -0.0180337931
#> 1.95302761682418 -0.45181923 -0.45191340 -0.45191340 -0.0194435134
#> 1.99178060312141 -0.58209809 -0.58209809 -0.58209809 -0.0196744263
#> 2.02501049762032 -0.70228972 -0.70228972 -0.70228972 -0.0189193249
#> 2.05778004489866 -0.81410026 -0.81410026 -0.81410026 -0.0180436891
#> 2.09450607114123 -0.92101191 -0.93444367 -0.93444367 -0.0210576573
#> 2.14006616349627 -1.05385217 -1.06863469 -1.06863469 -0.0163531059
#> 2.18658617913116 -1.16133108 -1.16694439 -1.16694439 -0.0137560856
#> 2.22462355152433 -1.21970091 -1.23768516 -1.23768516 -0.0114463039
#> 2.26917603086292 -1.26725156 -1.28899656 -1.28899656 -0.0119654821
#> 2.31817718775388 -1.30137313 -1.32080593 -1.32080593 -0.0046249876
#> 2.36957596181032 -1.31305228 -1.33524229 -1.33524229 -0.0013236431
#> 2.43815433799455 -1.32054827 -1.33855682 -1.33855682 0.0003017561
#> 2.55412171880947 -1.32516651 -1.33314364 -1.33314364 0.0018686840
#> 2.70001802940495 -1.32484118 -1.34395676 -1.34395676 0.0074612652
#> [,17] [,18] [,19] [,20]
#> 1.64869392029419 -0.0017939939 -0.0017847831 -0.001322512 -0.001784783
#> 1.75126810787332 -0.0029804398 -0.0042429969 -0.002906184 -0.002906184
#> 1.79946777896389 -0.0038790846 -0.0090261099 -0.006321818 -0.006321818
#> 1.87106930768594 -0.0154475053 -0.0154153948 -0.011736985 -0.011736985
#> 1.91429554166968 -0.0180337931 -0.0179051425 -0.011300911 -0.011300911
#> 1.95302761682418 -0.0313113581 -0.0192987834 -0.011696150 -0.011696150
#> 1.99178060312141 -0.0295534656 -0.0196189470 -0.011525796 -0.011525796
#> 2.02501049762032 -0.0273438437 -0.0189193249 -0.014789720 -0.014789720
#> 2.05778004489866 -0.0259660568 -0.0173242306 -0.016730298 -0.016730298
#> 2.09450607114123 -0.0256850929 -0.0173368981 -0.014562039 -0.014562039
#> 2.14006616349627 -0.0199138653 -0.0116383624 -0.010265041 -0.010265041
#> 2.18658617913116 -0.0167792987 -0.0105391001 -0.010364122 -0.010364122
#> 2.22462355152433 -0.0168451417 -0.0083982002 -0.007581509 -0.007581509
#> 2.26917603086292 -0.0143074551 -0.0037060345 -0.003529884 -0.003529884
#> 2.31817718775388 -0.0120165664 -0.0003687646 0.001629116 0.001629116
#> 2.36957596181032 -0.0074905972 0.0035483585 0.004873130 0.004873130
#> 2.43815433799455 -0.0023069333 0.0027570625 0.012064030 0.012064030
#> 2.55412171880947 -0.0002796273 0.0050186750 0.019057510 0.019057510
#> 2.70001802940495 -0.0048078073 0.0183873553 0.023414068 0.023414068
#> [,21] [,22] [,23] [,24]
#> 1.64869392029419 -0.002332698 -0.0023326983 -0.0021381977 -0.01765248
#> 1.75126810787332 -0.005387275 -0.0063608180 -0.0053866788 -0.02653053
#> 1.79946777896389 -0.009026110 -0.0103690521 -0.0090261099 -0.02975263
#> 1.87106930768594 -0.015415395 -0.0187248763 -0.0154153948 -0.03251223
#> 1.91429554166968 -0.017905143 -0.0220367102 -0.0200720905 -0.03491440
#> 1.95302761682418 -0.019298783 -0.0220456056 -0.0219926129 -0.03825703
#> 1.99178060312141 -0.019618947 -0.0200016762 -0.0198996930 -0.04145882
#> 2.02501049762032 -0.018919325 -0.0189193249 -0.0187507156 -0.04478567
#> 2.05778004489866 -0.017324231 -0.0173242306 -0.0167302983 -0.04844909
#> 2.09450607114123 -0.017336898 -0.0173368981 -0.0145620389 -0.05190082
#> 2.14006616349627 -0.011638362 -0.0116383624 -0.0102650415 -0.05409846
#> 2.18658617913116 -0.010539100 -0.0103851302 -0.0082370761 -0.04858301
#> 2.22462355152433 -0.008398200 -0.0075815094 -0.0068084860 -0.04383227
#> 2.26917603086292 -0.003706034 -0.0037060345 -0.0036967594 -0.03834661
#> 2.31817718775388 -0.002585298 -0.0003687646 -0.0003687646 -0.03284455
#> 2.36957596181032 0.001846596 0.0048315743 0.0027013171 -0.03329080
#> 2.43815433799455 0.002708144 0.0071991717 0.0069944692 -0.03438315
#> 2.55412171880947 0.011162536 0.0187571783 0.0170699423 -0.03498609
#> 2.70001802940495 0.019691864 0.0207821897 0.0207821897 -0.03030764
#> [,25] [,26] [,27] [,28] [,29]
#> 1.64869392029419 -0.01766464 -0.03793877 -0.04674555 -0.04674555 -0.04810729
#> 1.75126810787332 -0.02653053 -0.05890047 -0.07375041 -0.07389773 -0.07801054
#> 1.79946777896389 -0.02975263 -0.06741231 -0.08684438 -0.08891505 -0.09565017
#> 1.87106930768594 -0.03968605 -0.09358876 -0.10546938 -0.10709760 -0.11019029
#> 1.91429554166968 -0.05103704 -0.10867683 -0.11014010 -0.11583974 -0.11929553
#> 1.95302761682418 -0.06134805 -0.11949214 -0.12012155 -0.12324675 -0.12596512
#> 1.99178060312141 -0.06973733 -0.12711664 -0.12893265 -0.13104676 -0.13106701
#> 2.02501049762032 -0.07509501 -0.13014984 -0.13128810 -0.13447195 -0.13449728
#> 2.05778004489866 -0.07399964 -0.12587392 -0.12905017 -0.13826114 -0.13826090
#> 2.09450607114123 -0.07183358 -0.12459301 -0.13171034 -0.13955057 -0.13955055
#> 2.14006616349627 -0.06804659 -0.11845415 -0.13445484 -0.13818880 -0.14045258
#> 2.18658617913116 -0.06331144 -0.11741991 -0.13362537 -0.14058330 -0.14107411
#> 2.22462355152433 -0.05910059 -0.11063753 -0.12808116 -0.13895049 -0.14094908
#> 2.26917603086292 -0.05848219 -0.10388203 -0.12560425 -0.13578939 -0.14034291
#> 2.31817718775388 -0.05716629 -0.10464573 -0.12603004 -0.12929821 -0.13904111
#> 2.36957596181032 -0.05591703 -0.10204176 -0.11859557 -0.12618547 -0.13618461
#> 2.43815433799455 -0.05031951 -0.09843999 -0.11133725 -0.12507344 -0.12537580
#> 2.55412171880947 -0.05177443 -0.09364342 -0.10411684 -0.11125408 -0.11469996
#> 2.70001802940495 -0.03527259 -0.09323326 -0.10074838 -0.10334973 -0.09896767
#> [,30] [,31] [,32] [,33] [,34]
#> 1.64869392029419 -0.04822965 -0.04824801 -0.04824801 -0.04824801 -0.04824801
#> 1.75126810787332 -0.08072562 -0.08078749 -0.08136643 -0.08136643 -0.08136643
#> 1.79946777896389 -0.09568771 -0.09739496 -0.09742164 -0.09742164 -0.09742164
#> 1.87106930768594 -0.11906480 -0.11906480 -0.11912044 -0.11912044 -0.11912044
#> 1.91429554166968 -0.12987371 -0.12987371 -0.12987371 -0.12987371 -0.12987371
#> 1.95302761682418 -0.13593945 -0.13593945 -0.13593945 -0.13593945 -0.13593945
#> 1.99178060312141 -0.13382478 -0.13382478 -0.13382478 -0.13382478 -0.13382478
#> 2.02501049762032 -0.13567056 -0.13567056 -0.13567056 -0.13643991 -0.13643991
#> 2.05778004489866 -0.13850274 -0.13850274 -0.13850274 -0.13968282 -0.13968282
#> 2.09450607114123 -0.14102035 -0.14102035 -0.13973534 -0.14156362 -0.14156362
#> 2.14006616349627 -0.14214704 -0.14214704 -0.14063180 -0.14133250 -0.14759127
#> 2.18658617913116 -0.14130454 -0.14130454 -0.14128906 -0.14128906 -0.14978122
#> 2.22462355152433 -0.14147883 -0.14147883 -0.14147883 -0.14147883 -0.15008798
#> 2.26917603086292 -0.14149918 -0.14149918 -0.14149918 -0.14149918 -0.14995833
#> 2.31817718775388 -0.14129427 -0.14129427 -0.14141324 -0.14141324 -0.14870623
#> 2.36957596181032 -0.13628456 -0.13628456 -0.14127485 -0.14127485 -0.14544614
#> 2.43815433799455 -0.13313201 -0.12545296 -0.13727013 -0.13727013 -0.13727013
#> 2.55412171880947 -0.12288679 -0.11469996 -0.12209041 -0.12209041 -0.12209041
#> 2.70001802940495 -0.09896767 -0.09896767 -0.11208265 -0.11473222 -0.11473222
#> [,35] [,36] [,37]
#> 1.64869392029419 -0.04824801 -0.05671472 -0.05663869
#> 1.75126810787332 -0.08136643 -0.10170198 -0.09650448
#> 1.79946777896389 -0.09742164 -0.11773413 -0.10932000
#> 1.87106930768594 -0.11912044 -0.13268455 -0.12139923
#> 1.91429554166968 -0.12987371 -0.13661214 -0.13080064
#> 1.95302761682418 -0.13633210 -0.13802461 -0.13802461
#> 1.99178060312141 -0.14221442 -0.14789975 -0.14789975
#> 2.02501049762032 -0.14524486 -0.15422691 -0.15422691
#> 2.05778004489866 -0.14718896 -0.15801012 -0.16836967
#> 2.09450607114123 -0.14849375 -0.15957380 -0.18603508
#> 2.14006616349627 -0.15574983 -0.15826009 -0.18539132
#> 2.18658617913116 -0.15382555 -0.16579045 -0.18424266
#> 2.22462355152433 -0.15631494 -0.16831328 -0.18377591
#> 2.26917603086292 -0.15643475 -0.16646602 -0.18180999
#> 2.31817718775388 -0.15297794 -0.16048369 -0.17997019
#> 2.36957596181032 -0.14594142 -0.15228756 -0.17888693
#> 2.43815433799455 -0.13815355 -0.15232385 -0.17816163
#> 2.55412171880947 -0.13011705 -0.14547119 -0.17764764
#> 2.70001802940495 -0.13709867 -0.14143763 -0.16494261
#>
#> $ciupper
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> 1.64869392029419 0.1555733 0.1555733 0.1555733 0.1649812 0.1649812 0.1654261
#> 1.75126810787332 0.2090994 0.2090994 0.2090994 0.2329741 0.2329741 0.2372707
#> 1.79946777896389 0.2386753 0.2386753 0.2386753 0.2521420 0.2521420 0.2571299
#> 1.87106930768594 0.2569178 0.2569178 0.2569178 0.2693076 0.2693076 0.2877810
#> 1.91429554166968 0.2607462 0.2607462 0.2607462 0.2735689 0.2735689 0.2997939
#> 1.95302761682418 0.2677511 0.2671959 0.2671959 0.2797348 0.2797620 0.3070590
#> 1.99178060312141 0.2701681 0.2690106 0.2690106 0.2914459 0.2915496 0.3115957
#> 2.02501049762032 0.2707941 0.2702495 0.2715095 0.2919756 0.2968019 0.3138472
#> 2.05778004489866 0.2705817 0.2699333 0.2703421 0.2916003 0.2916003 0.3150046
#> 2.09450607114123 0.2698431 0.2652373 0.2652373 0.2927280 0.2927280 0.3152626
#> 2.14006616349627 0.2686830 0.2546950 0.2546950 0.2860593 0.2860593 0.3147448
#> 2.18658617913116 0.2677790 0.2603776 0.2603776 0.2728182 0.2799319 0.3139056
#> 2.22462355152433 0.2661387 0.2565654 0.2565654 0.2707010 0.2709215 0.3124316
#> 2.26917603086292 0.2612127 0.2494791 0.2475755 0.2729867 0.2730557 0.3084634
#> 2.31817718775388 0.2555149 0.2534768 0.2532866 0.2760076 0.2760076 0.3049386
#> 2.36957596181032 0.2574280 0.2566704 0.2502852 0.2785881 0.2798010 0.3160020
#> 2.43815433799455 0.2719755 0.2719755 0.2719755 0.2852796 0.2873650 0.3194711
#> 2.55412171880947 0.2861442 0.2861442 0.2861442 0.2950779 0.2952526 0.3264779
#> 2.70001802940495 0.2939170 0.2939170 0.2939170 0.3071270 0.3070429 0.3340165
#> [,7] [,8] [,9] [,10] [,11]
#> 1.64869392029419 0.1651517 0.1651517 0.1651517 0.1754815 0.16095661
#> 1.75126810787332 0.2369086 0.2327501 0.2327501 0.2528421 0.16849378
#> 1.79946777896389 0.2513043 0.2461737 0.2461737 0.2784203 0.13391753
#> 1.87106930768594 0.2723735 0.2723735 0.2723735 0.2987010 0.03115840
#> 1.91429554166968 0.2825068 0.2790443 0.2790443 0.2944969 -0.07417714
#> 1.95302761682418 0.2884597 0.2797801 0.2797801 0.2827160 -0.18967781
#> 1.99178060312141 0.2919455 0.2912662 0.2912662 0.2912662 -0.31301200
#> 2.02501049762032 0.2980461 0.2930193 0.2930193 0.2930193 -0.42175624
#> 2.05778004489866 0.2996957 0.2935262 0.2935262 0.2935262 -0.51365515
#> 2.09450607114123 0.2964328 0.2940049 0.2940049 0.2940049 -0.62444279
#> 2.14006616349627 0.2923240 0.2915384 0.2915384 0.2915384 -0.74105760
#> 2.18658617913116 0.2889054 0.2809479 0.2809479 0.2809479 -0.84862564
#> 2.22462355152433 0.2867615 0.2867615 0.2867615 0.2867615 -0.91696011
#> 2.26917603086292 0.2907523 0.2837330 0.2837330 0.2837330 -0.97505043
#> 2.31817718775388 0.2917828 0.2810675 0.2810675 0.2810675 -1.00172532
#> 2.36957596181032 0.2934814 0.2852750 0.2852750 0.2852750 -1.00966300
#> 2.43815433799455 0.2967735 0.2913012 0.2913012 0.2913012 -1.00799473
#> 2.55412171880947 0.3036289 0.3000352 0.3000352 0.3000352 -0.99959063
#> 2.70001802940495 0.3212864 0.3101179 0.3101179 0.3172898 -0.99534816
#> [,12] [,13] [,14] [,15] [,16]
#> 1.64869392029419 0.16095661 0.15254819 0.15254819 0.15254819 0.1646786
#> 1.75126810787332 0.16849378 0.16849378 0.16849378 0.16849378 0.2289704
#> 1.79946777896389 0.13485518 0.13485518 0.13485518 0.13669172 0.2425998
#> 1.87106930768594 0.03115840 0.03115840 0.03115840 0.03608219 0.2515529
#> 1.91429554166968 -0.07622235 -0.07622235 -0.07622235 -0.07413693 0.2483682
#> 1.95302761682418 -0.18989268 -0.19516670 -0.19516670 -0.18989043 0.2493662
#> 1.99178060312141 -0.31767336 -0.32175554 -0.32175554 -0.31656337 0.2464598
#> 2.02501049762032 -0.42278169 -0.42969281 -0.42969281 -0.42695632 0.2423946
#> 2.05778004489866 -0.53096297 -0.53533188 -0.53533188 -0.53094287 0.2371357
#> 2.09450607114123 -0.64229228 -0.64755847 -0.64755847 -0.63925043 0.2352766
#> 2.14006616349627 -0.76128796 -0.76565080 -0.76834899 -0.75142742 0.2396704
#> 2.18658617913116 -0.85921073 -0.86774051 -0.86781050 -0.84848285 0.2460361
#> 2.22462355152433 -0.92735043 -0.93188426 -0.93188426 -0.91556620 0.2475979
#> 2.26917603086292 -0.98268862 -0.98582306 -0.98582306 -0.97387797 0.2482028
#> 2.31817718775388 -1.01192625 -1.02410586 -1.02410586 -1.00676325 0.2589791
#> 2.36957596181032 -1.02225045 -1.04161208 -1.04161208 -1.01709401 0.2629936
#> 2.43815433799455 -1.02475002 -1.05046512 -1.05046512 -1.02376379 0.2616517
#> 2.55412171880947 -1.01915846 -1.04356260 -1.04356260 -1.02024862 0.2617984
#> 2.70001802940495 -1.00657538 -1.01920161 -1.02097775 -0.99834344 0.2865875
#> [,17] [,18] [,19] [,20] [,21] [,22]
#> 1.64869392029419 0.1646786 0.1646786 0.1755107 0.1755107 0.1678834 0.1678834
#> 1.75126810787332 0.2289704 0.2289704 0.2393890 0.2393890 0.2325103 0.2325103
#> 1.79946777896389 0.2425998 0.2425998 0.2458087 0.2458087 0.2426355 0.2426355
#> 1.87106930768594 0.2492341 0.2446065 0.2531712 0.2531712 0.2492526 0.2492526
#> 1.91429554166968 0.2493402 0.2459141 0.2541629 0.2541629 0.2493470 0.2493470
#> 1.95302761682418 0.2493662 0.2431698 0.2548048 0.2548048 0.2520621 0.2520621
#> 1.99178060312141 0.2464598 0.2393557 0.2598813 0.2598813 0.2504715 0.2504715
#> 2.02501049762032 0.2424507 0.2361111 0.2624082 0.2624082 0.2491994 0.2491994
#> 2.05778004489866 0.2378142 0.2353029 0.2638859 0.2638859 0.2483613 0.2483613
#> 2.09450607114123 0.2366699 0.2352766 0.2649779 0.2649779 0.2480963 0.2480963
#> 2.14006616349627 0.2405941 0.2396704 0.2662331 0.2662331 0.2524992 0.2524992
#> 2.18658617913116 0.2466539 0.2368613 0.2678625 0.2678625 0.2566048 0.2566048
#> 2.22462355152433 0.2522270 0.2344649 0.2695058 0.2695058 0.2593154 0.2593154
#> 2.26917603086292 0.2586497 0.2317228 0.2716498 0.2716498 0.2659104 0.2714077
#> 2.31817718775388 0.2589791 0.2345619 0.2826122 0.2826122 0.2738408 0.2740863
#> 2.36957596181032 0.2529590 0.2393091 0.2936296 0.2936296 0.2764223 0.2766665
#> 2.43815433799455 0.2508914 0.2450614 0.2976484 0.2976484 0.2801176 0.2803733
#> 2.55412171880947 0.2595093 0.2470273 0.2959828 0.2959828 0.2905305 0.2917991
#> 2.70001802940495 0.2861551 0.2790817 0.3143754 0.3143754 0.2957364 0.3008432
#> [,23] [,24] [,25] [,26] [,27] [,28]
#> 1.64869392029419 0.1678834 0.1680995 0.1680995 0.1393610 0.1393610 0.1346415
#> 1.75126810787332 0.2325103 0.2393890 0.2393890 0.1945809 0.1945809 0.1905507
#> 1.79946777896389 0.2426355 0.2431354 0.2431354 0.2115382 0.2115382 0.1898073
#> 1.87106930768594 0.2492526 0.2528320 0.2528320 0.2287529 0.2287529 0.1991295
#> 1.91429554166968 0.2493470 0.2536651 0.2536651 0.2268982 0.2156879 0.1993469
#> 1.95302761682418 0.2520621 0.2544767 0.2544767 0.2228040 0.2042351 0.1942732
#> 1.99178060312141 0.2504715 0.2595856 0.2595856 0.2150019 0.1951324 0.1886818
#> 2.02501049762032 0.2491994 0.2621748 0.2621748 0.2087640 0.1913682 0.1876145
#> 2.05778004489866 0.2483613 0.2637357 0.2637357 0.2037170 0.1897515 0.1831471
#> 2.09450607114123 0.2480963 0.2649329 0.2649329 0.1997899 0.1885478 0.1772562
#> 2.14006616349627 0.2524992 0.2662331 0.2662331 0.1975539 0.1895859 0.1796412
#> 2.18658617913116 0.2566048 0.2678625 0.2678625 0.1942273 0.1935531 0.1827437
#> 2.22462355152433 0.2593154 0.2695058 0.2695058 0.1969695 0.1969695 0.1825280
#> 2.26917603086292 0.2614867 0.2716498 0.2716498 0.1970625 0.1968283 0.1869109
#> 2.31817718775388 0.2651361 0.2740863 0.2740863 0.2036150 0.1984049 0.1901460
#> 2.36957596181032 0.2702501 0.2766665 0.2766665 0.2070520 0.2032918 0.1940038
#> 2.43815433799455 0.2796242 0.2803733 0.2803733 0.2108574 0.2076532 0.1992734
#> 2.55412171880947 0.2905305 0.2917991 0.2917991 0.2245706 0.2117328 0.2108598
#> 2.70001802940495 0.2957364 0.3007842 0.3007842 0.2450086 0.2389577 0.2239917
#> [,29] [,30] [,31] [,32] [,33] [,34]
#> 1.64869392029419 0.1161949 0.1161949 0.1161949 0.1114334 0.1114334 0.11143340
#> 1.75126810787332 0.1443101 0.1443101 0.1443101 0.1421432 0.1421432 0.14180648
#> 1.79946777896389 0.1511276 0.1511276 0.1511276 0.1389251 0.1389251 0.13890493
#> 1.87106930768594 0.1549157 0.1529092 0.1529092 0.1257412 0.1257412 0.12567977
#> 1.91429554166968 0.1495400 0.1479113 0.1479113 0.1187403 0.1187403 0.11866823
#> 1.95302761682418 0.1459449 0.1326461 0.1326461 0.1136616 0.1136616 0.11366165
#> 1.99178060312141 0.1408034 0.1198850 0.1198850 0.1113765 0.1113765 0.11137645
#> 2.02501049762032 0.1380856 0.1126851 0.1126851 0.1113303 0.1113303 0.11133034
#> 2.05778004489866 0.1354413 0.1156188 0.1156188 0.1066970 0.1066970 0.10664780
#> 2.09450607114123 0.1318012 0.1207995 0.1207995 0.1049297 0.1049297 0.10396247
#> 2.14006616349627 0.1297814 0.1284611 0.1284611 0.1066457 0.1066457 0.09311856
#> 2.18658617913116 0.1358526 0.1314764 0.1314764 0.1107078 0.1107078 0.08594305
#> 2.22462355152433 0.1422516 0.1400759 0.1400759 0.1143862 0.1143862 0.08888931
#> 2.26917603086292 0.1488588 0.1425690 0.1425690 0.1178153 0.1178153 0.09408030
#> 2.31817718775388 0.1548087 0.1418326 0.1418326 0.1196325 0.1196325 0.10124074
#> 2.36957596181032 0.1564227 0.1385409 0.1385409 0.1192737 0.1192737 0.10960960
#> 2.43815433799455 0.1653019 0.1377123 0.1377123 0.1215573 0.1215573 0.11603828
#> 2.55412171880947 0.1782986 0.1418168 0.1418168 0.1329172 0.1329172 0.12269279
#> 2.70001802940495 0.1856786 0.1661654 0.1661654 0.1573067 0.1573067 0.15730672
#> [,35] [,36] [,37]
#> 1.64869392029419 0.11142850 0.11596890 0.1184512
#> 1.75126810787332 0.14180648 0.12192017 0.1438135
#> 1.79946777896389 0.13890493 0.12778503 0.1404479
#> 1.87106930768594 0.12567977 0.12283721 0.1349925
#> 1.91429554166968 0.11866823 0.11606173 0.1427645
#> 1.95302761682418 0.11360897 0.10924760 0.1492310
#> 1.99178060312141 0.11130692 0.10301255 0.1368537
#> 2.02501049762032 0.10800059 0.09622964 0.1304526
#> 2.05778004489866 0.10268299 0.09017180 0.1437969
#> 2.09450607114123 0.09983974 0.08392273 0.1549259
#> 2.14006616349627 0.09297743 0.08319102 0.1766226
#> 2.18658617913116 0.08578313 0.08542188 0.1835866
#> 2.22462355152433 0.08869876 0.08841847 0.1802619
#> 2.26917603086292 0.09362037 0.09362037 0.1740461
#> 2.31817718775388 0.09474419 0.09321797 0.1784312
#> 2.36957596181032 0.09926627 0.09354493 0.1846197
#> 2.43815433799455 0.10741667 0.10341691 0.1966402
#> 2.55412171880947 0.12046662 0.11777156 0.2000311
#> 2.70001802940495 0.14794355 0.12807981 0.2074468
#>
#> $cenval
#> [1] 0
#>
#> $cumulative.effect
#> vals mean lower upper
#> 1 1.648694 1.7592085 -0.09154885 4.96899082
#> 2 1.751268 2.3290081 -0.34455425 6.25455477
#> 3 1.799468 2.3320057 -0.52579472 6.31495908
#> 4 1.871069 1.8992462 -1.05531286 5.69083357
#> 5 1.914296 1.3866298 -1.57885672 5.03475774
#> 6 1.953028 0.7973616 -2.08569517 4.36084284
#> 7 1.991781 0.1259809 -2.72108538 3.59755099
#> 8 2.025010 -0.4782966 -3.23778504 2.89839990
#> 9 2.057780 -1.0673953 -3.71687976 2.32582203
#> 10 2.094506 -1.6847377 -4.21278974 1.70409036
#> 11 2.140066 -2.3422172 -4.77071970 1.00770828
#> 12 2.186586 -2.8546050 -5.20732304 0.55225431
#> 13 2.224624 -3.1466655 -5.48137968 0.35395732
#> 14 2.269176 -3.3544326 -5.72659930 0.02517421
#> 15 2.318177 -3.4455635 -5.94243731 -0.09262657
#> 16 2.369576 -3.4309900 -5.96702084 -0.11706096
#> 17 2.438154 -3.3099764 -5.91352470 0.05833710
#> 18 2.554122 -3.0057468 -5.54827881 0.54793974
#> 19 2.700018 -2.6037805 -5.52188291 0.96480878
#>
#> $pred.at
#> [1] 1.648694 1.751268 1.799468 1.871069 1.914296 1.953028 1.991781 2.025010
#> [9] 2.057780 2.094506 2.140066 2.186586 2.224624 2.269176 2.318177 2.369576
#> [17] 2.438154 2.554122 2.700018
#>
#> $gamma.mean
#> (Intercept) c1 c2 c3 c4 c5
#> -3.6709715 0.9100783 -0.1872930 0.4559034 0.6918506 -1.3995129
#> b1 b2 b3 b4 b5
#> 1.4340846 -0.7901104 -0.6477930 -1.5312163 0.8374140
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5 b1
#> 2.5% -13.78894 0.8130191 -0.28085203 0.3368662 0.5925233 -1.494214 1.227453
#> 97.5% 6.03506 0.9976506 -0.09277002 0.5600574 0.7970808 -1.294687 1.645372
#> b2 b3 b4 b5
#> 2.5% -0.9938183 -0.8421516 -1.729942 0.6181955
#> 97.5% -0.5911158 -0.4450495 -1.326933 1.0859545
#>
#> $splitProb
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#>
#> $splitIter
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,38] [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,50] [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] [,61]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] [,73]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,74] [,75] [,76] [,77] [,78] [,79] [,80] [,81] [,82] [,83] [,84] [,85]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,86] [,87] [,88] [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] [,97]
#> [1,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1 1 1
#> [,98] [,99] [,100] [,101] [,102] [,103] [,104] [,105] [,106] [,107]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,108] [,109] [,110] [,111] [,112] [,113] [,114] [,115] [,116] [,117]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,118] [,119] [,120] [,121] [,122] [,123] [,124] [,125] [,126] [,127]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,128] [,129] [,130] [,131] [,132] [,133] [,134] [,135] [,136] [,137]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,138] [,139] [,140] [,141] [,142] [,143] [,144] [,145] [,146] [,147]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,148] [,149] [,150] [,151] [,152] [,153] [,154] [,155] [,156] [,157]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,158] [,159] [,160] [,161] [,162] [,163] [,164] [,165] [,166] [,167]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,168] [,169] [,170] [,171] [,172] [,173] [,174] [,175] [,176] [,177]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,178] [,179] [,180] [,181] [,182] [,183] [,184] [,185] [,186] [,187]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,188] [,189] [,190] [,191] [,192] [,193] [,194] [,195] [,196] [,197]
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 1 1 1 1 1 1 1
#> [3,] 1 1 1 1 1 1 1 1 1 1
#> [4,] 1 1 1 1 1 1 1 1 1 1
#> [5,] 1 1 1 1 1 1 1 1 1 1
#> [6,] 1 1 1 1 1 1 1 1 1 1
#> [7,] 1 1 1 1 1 1 1 1 1 1
#> [8,] 1 1 1 1 1 1 1 1 1 1
#> [9,] 1 1 1 1 1 1 1 1 1 1
#> [10,] 1 1 1 1 1 1 1 1 1 1
#> [11,] 1 1 1 1 1 1 1 1 1 1
#> [12,] 1 1 1 1 1 1 1 1 1 1
#> [13,] 1 1 1 1 1 1 1 1 1 1
#> [14,] 1 1 1 1 1 1 1 1 1 1
#> [15,] 1 1 1 1 1 1 1 1 1 1
#> [16,] 1 1 1 1 1 1 1 1 1 1
#> [17,] 1 1 1 1 1 1 1 1 1 1
#> [18,] 1 1 1 1 1 1 1 1 1 1
#> [19,] 1 1 1 1 1 1 1 1 1 1
#> [20,] 1 1 1 1 1 1 1 1 1 1
#> [21,] 1 1 1 1 1 1 1 1 1 1
#> [22,] 1 1 1 1 1 1 1 1 1 1
#> [23,] 1 1 1 1 1 1 1 1 1 1
#> [24,] 1 1 1 1 1 1 1 1 1 1
#> [25,] 1 1 1 1 1 1 1 1 1 1
#> [26,] 1 1 1 1 1 1 1 1 1 1
#> [27,] 1 1 1 1 1 1 1 1 1 1
#> [28,] 1 1 1 1 1 1 1 1 1 1
#> [29,] 1 1 1 1 1 1 1 1 1 1
#> [30,] 1 1 1 1 1 1 1 1 1 1
#> [31,] 1 1 1 1 1 1 1 1 1 1
#> [32,] 1 1 1 1 1 1 1 1 1 1
#> [33,] 1 1 1 1 1 1 1 1 1 1
#> [34,] 1 1 1 1 1 1 1 1 1 1
#> [35,] 1 1 1 1 1 1 1 1 1 1
#> [36,] 1 1 1 1 1 1 1 1 1 1
#> [37,] 1 1 1 1 1 1 1 1 1 1
#> [,198] [,199] [,200]
#> [1,] 1 1 1
#> [2,] 1 1 1
#> [3,] 1 1 1
#> [4,] 1 1 1
#> [5,] 1 1 1
#> [6,] 1 1 1
#> [7,] 1 1 1
#> [8,] 1 1 1
#> [9,] 1 1 1
#> [10,] 1 1 1
#> [11,] 1 1 1
#> [12,] 1 1 1
#> [13,] 1 1 1
#> [14,] 1 1 1
#> [15,] 1 1 1
#> [16,] 1 1 1
#> [17,] 1 1 1
#> [18,] 1 1 1
#> [19,] 1 1 1
#> [20,] 1 1 1
#> [21,] 1 1 1
#> [22,] 1 1 1
#> [23,] 1 1 1
#> [24,] 1 1 1
#> [25,] 1 1 1
#> [26,] 1 1 1
#> [27,] 1 1 1
#> [28,] 1 1 1
#> [29,] 1 1 1
#> [30,] 1 1 1
#> [31,] 1 1 1
#> [32,] 1 1 1
#> [33,] 1 1 1
#> [34,] 1 1 1
#> [35,] 1 1 1
#> [36,] 1 1 1
#> [37,] 1 1 1
#>
#> $formula
#> y ~ .
#> <environment: 0x55c8966ee5d8>
#>
#> attr(,"class")
#> [1] "summary.tdlnm"
# plot results
plot(tdlnm.sum)
# Heterogeneous TDLM (HDLM), similar to first example but with heterogeneous exposure response
D <- sim.hdlmm(sim = "B", n = 1000)
hdlm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "linear",
family = "gaussian",
het = TRUE)
#> Preparing data...
#>
#> Running shared HDLM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 4 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
hdlm.sum <- summary(hdlm.fit)
hdlm.sum
#> $ctr
#> $ctr$class
#> [1] "hdlm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $conf.level
#> [1] 0.95
#>
#> $n.lag
#> [1] 37
#>
#> $sig.to.noise
#> [1] NA
#>
#> $rse
#> [1] 0.05162186
#>
#> $n
#> [1] 1000
#>
#> $modPrior
#> [1] 0.5
#>
#> $mod.names
#> [1] "mod_num" "mod_bin" "mod_scale" "c1" "c2" "c3"
#> [7] "c4" "c5" "b1" "b2" "b3" "b4"
#> [13] "b5"
#>
#> $pip
#> PIP
#> mod_num 1.000
#> mod_bin 0.310
#> mod_scale 1.000
#> c1 0.360
#> c2 0.285
#> c3 0.495
#> c4 0.230
#> c5 0.270
#> b1 0.335
#> b2 0.330
#> b3 0.465
#> b4 0.280
#> b5 0.235
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 0.16768515 1.04208367 -0.91861743 0.36065910 -1.56141303 0.55705556
#> c3 c4 c5 b1 b2 b3
#> -0.82596616 -0.22224032 -0.93789982 0.03128203 0.50967711 0.23555868
#> b4 b5
#> -0.73205523 0.28689419
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2 c3
#> 2.5% -0.05807078 0.9774978 -1.043962 0.1502585 -1.627833 0.5028365 -0.8975026
#> 97.5% 0.38353873 1.0962479 -0.778402 0.5606828 -1.491387 0.6232212 -0.7708107
#> c4 c5 b1 b2 b3 b4
#> 2.5% -0.2931012 -0.9952310 -0.08945525 0.3600957 0.09159178 -0.8509021
#> 97.5% -0.1578499 -0.8695494 0.16741159 0.6344293 0.35245735 -0.5958559
#> b5
#> 2.5% 0.1592616
#> 97.5% 0.4033106
#>
#> $formula
#> y ~ .
#> <environment: 0x55c8966ee5d8>
#>
#> attr(,"class")
#> [1] "summary.hdlm"
# shiny app for HDLM
if (interactive()) {
shiny(hdlm.fit)
}
# The next two examples are for a mixture (or multivariate) exposure
# Treed distributed lag mixture model (TDLMM)
# Model for mixutre (or multivariate) lagged exposures
# with a homogenious exposure-time-response function
D <- sim.tdlmm(sim = "B", error = 25, n = 1000)
tdlmm.fit <- dlmtree(y ~ .,
data = D$dat, exposure.data = D$exposures,
control.mix = list(interactions = "noself"),
dlm.type = "linear", family = "gaussian",
mixture = TRUE)
#> Preparing data...
#>
#> Running TDLMM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 4 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlmm.sum <- summary(tdlmm.fit)
#> Specified co-exposure values:
#> - e1 : 4.206636
#> - e2 : 4.528353
#> - e3 : 4.4905
#> - e4 : 4.139965
#> - e5 : 5.988001
#>
#> Reconstructing main effects...
#> Reconstructing interaction effects...
#> 0%...25%...50%...75%...100%
#> Calculating marginal effects...
#> Calculating fixed effects...
# plot the marginal exposure-response for one exposure
plot(tdlmm.sum, exposure1 = "e1")
# plot exposure-response surface
plot(tdlmm.sum, exposure1 = "e1", exposure2 = "e2")
# heterogeneous version of TDLMM
D <- sim.hdlmm(sim = "D", n = 1000)
hdlmm.fit <- dlmtree(y ~ .,
data = D$dat,
exposure.data = D$exposures,
dlm.type = "linear",
family = "gaussian",
mixture = TRUE,
het = TRUE)
#> Preparing data...
#>
#> Running HDLMM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 24 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
hdlmm.sum <- summary(hdlmm.fit)
hdlmm.sum
#> $ctr
#> $ctr$class
#> [1] "hdlmm"
#>
#> $ctr$n.trees
#> [1] 20
#>
#> $ctr$n.iter
#> [1] 2000
#>
#> $ctr$n.thin
#> [1] 10
#>
#> $ctr$n.burn
#> [1] 1000
#>
#> $ctr$response
#> [1] "gaussian"
#>
#>
#> $n.lag
#> [1] 37
#>
#> $n.exp
#> [1] 3
#>
#> $n.mix
#> [1] 3
#>
#> $interaction
#> [1] 1
#>
#> $exp.names
#> [1] "e1" "e2" "e3"
#>
#> $mix.names
#> [1] "e1-e2" "e1-e3" "e2-e3"
#>
#> $mix.prior
#> [1] 1
#>
#> $mod.names
#> [1] "mod_num" "mod_bin" "mod_scale" "c1" "c2" "c3"
#> [7] "c4" "c5" "b1" "b2" "b3" "b4"
#> [13] "b5"
#>
#> $mod.prior
#> [1] 0.5
#>
#> $conf.level
#> [1] 0.95
#>
#> $sig.to.noise
#> [1] NA
#>
#> $rse
#> [1] 0.116474
#>
#> $n
#> [1] 1000
#>
#> $pip
#> PIP
#> mod_num 1.000
#> mod_bin 1.000
#> mod_scale 0.535
#> c1 0.455
#> c2 0.590
#> c3 0.495
#> c4 0.695
#> c5 0.610
#> b1 0.650
#> b2 0.625
#> b3 0.470
#> b4 0.510
#> b5 0.490
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 0.04526459 0.99944897 0.39706976 -1.40816367 1.25691171 -0.26628847
#> c3 c4 c5 b1 b2 b3
#> 0.98727564 0.62241557 -0.66005035 0.28759757 1.30293640 0.83912869
#> b4 b5
#> -0.78784049 -0.18914361
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2 c3
#> 2.5% -0.2221875 0.8872065 0.2554920 -1.649626 1.198059 -0.3324668 0.9182489
#> 97.5% 0.3077668 1.0960198 0.5737664 -1.167983 1.333318 -0.2116625 1.0536132
#> c4 c5 b1 b2 b3 b4 b5
#> 2.5% 0.5662093 -0.7204330 0.1483864 1.16963 0.6984748 -0.9146726 -0.31237088
#> 97.5% 0.6878956 -0.6018155 0.4157815 1.43032 0.9608222 -0.6694865 -0.05896791
#>
#> $formula
#> y ~ .
#> <environment: 0x55c8966ee5d8>
#>
#> attr(,"class")
#> [1] "summary.hdlmm"
# summarize results
if (interactive()) {
shiny(hdlmm.fit)
}
# }