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,
cluster = NULL,
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).
- cluster
variable name from data for cluster identifier. For best performance, data should ideally be presorted by this variable.
- 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] 1.586176
#>
#> $rse
#> [1] 0
#>
#> $n
#> [1] 1000
#>
#> $matfit
#> [1] -0.027894173 -0.073033274 -0.425055812 0.156811730 0.134666129
#> [6] 0.024133000 0.141622995 -0.124323363 0.136502358 0.093485541
#> [11] -0.030039577 -0.139733691 -0.144675320 0.080332370 0.004961616
#> [16] 0.031992435 0.101882679 -0.006254376 0.002682168 0.136382646
#> [21] 0.258343670 -0.015658826 0.378271453 0.247249486 0.247359097
#> [26] 0.178958568 0.308538586 0.151378717 -0.079356013 -0.049759232
#> [31] 0.068112306 0.038630970 0.057585950 0.153389384 0.200453456
#> [36] -0.081478872 -0.134801148
#>
#> $cilower
#> [1] -0.42408861 -0.42822926 -0.79001540 -0.13242657 -0.10589874 -0.24470129
#> [7] -0.11792121 -0.47197495 -0.08896559 -0.18700651 -0.26361746 -0.42392294
#> [13] -0.39660418 -0.15308527 -0.26555193 -0.15124116 -0.08414201 -0.21790159
#> [19] -0.27724228 -0.09374773 -0.03466600 -0.43351129 -0.05565809 0.03465837
#> [25] 0.05811354 -0.10932473 0.09062312 -0.10210127 -0.32464189 -0.25941542
#> [31] -0.13565301 -0.16966983 -0.15767091 -0.13636819 -0.18508366 -0.35110361
#> [37] -0.42543790
#>
#> $ciupper
#> [1] 0.36711756 0.27235583 -0.10299728 0.45302945 0.41218693 0.25489902
#> [7] 0.45644141 0.17016740 0.38611303 0.38815527 0.23248970 0.09309979
#> [13] 0.11605220 0.40412733 0.20478138 0.23328643 0.33495199 0.17684724
#> [19] 0.25042992 0.46429757 0.58214399 0.34958481 0.85213785 0.47542282
#> [25] 0.46065646 0.37892387 0.69073446 0.40586274 0.11936925 0.16121611
#> [31] 0.30309208 0.26060000 0.27175546 0.45177452 0.62176664 0.24633849
#> [37] 0.19142464
#>
#> $cumulative.effect
#> mean 2.5% 97.5%
#> 2.0016636 0.9595533 3.1876194
#>
#> $formula
#> y ~ .
#> <environment: 0x5616df0fe830>
#>
#> $gamma.mean
#> (Intercept) c1 c2 c3 c4 c5
#> -0.43911146 0.04965415 0.11774210 -0.15225601 0.07515823 -0.22778864
#> b1 b2 b3 b4 b5
#> -0.06142975 0.06591349 0.09711661 0.15412526 0.54080150
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5
#> 2.5% -0.87074920 -0.09746641 -0.0385055 -0.31216320 -0.08775173 -0.40520154
#> 97.5% -0.07815537 0.18511672 0.3097020 -0.02303121 0.21718116 -0.06871387
#> b1 b2 b3 b4 b5
#> 2.5% -0.4089196 -0.2530744 -0.1717408 -0.1622657 0.2355742
#> 97.5% 0.2061630 0.3707575 0.4164537 0.4466821 0.8246868
#>
#> attr(,"class")
#> [1] "summary.tdlm"
# plot results
plot(tdlm.sum)
# Treed distributed lag nonlinear model (TDLNM)
# Gaussian regression model
D <- sim.tdlnm(sim = "A", error.to.signal = 1)
tdlnm.fit <- dlmtree(formula = y ~ .,
data = D$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] 0.8385891
#>
#> $rse
#> [1] 0.2597029
#>
#> $n
#> [1] 926
#>
#> $plot.dat
#> Tmin Tmax Xmin Xmax PredVal Est SD CIMin
#> 1 0 1 1.062245 1.699981 1.648694 0.0458451244 0.04731460 -0.005933553
#> 2 0 1 1.699981 1.775368 1.751268 0.0747268283 0.06703106 -0.012520062
#> 3 0 1 1.775368 1.835269 1.799468 0.0868565121 0.07374966 -0.018637023
#> 4 0 1 1.835269 1.892682 1.871069 0.0996649417 0.08080014 -0.041726104
#> 5 0 1 1.892682 1.933662 1.914296 0.1034545775 0.08402547 -0.048507356
#> 6 0 1 1.933662 1.972404 1.953028 0.1042327910 0.08669608 -0.062378326
#> 7 0 1 1.972404 2.008396 1.991781 0.1028231224 0.08936602 -0.077397870
#> 8 0 1 2.008396 2.041395 2.025010 0.1002545179 0.09169128 -0.090077359
#> 9 0 1 2.041395 2.076143 2.057780 0.0969039141 0.09396660 -0.101811986
#> 10 0 1 2.076143 2.117286 2.094506 0.0926819418 0.09637776 -0.123342866
#> 11 0 1 2.117286 2.163326 2.140066 0.0874861111 0.09894664 -0.137509646
#> 12 0 1 2.163326 2.205605 2.186586 0.0828960936 0.10087754 -0.141899796
#> 13 0 1 2.205605 2.246900 2.224624 0.0799343777 0.10188425 -0.146291469
#> 14 0 1 2.246900 2.293677 2.269176 0.0773825818 0.10248869 -0.147800541
#> 15 0 1 2.293677 2.343877 2.318177 0.0754887211 0.10266614 -0.145677314
#> 16 0 1 2.343877 2.403865 2.369576 0.0741157582 0.10262502 -0.142875298
#> 17 0 1 2.403865 2.496138 2.438154 0.0725594174 0.10261756 -0.140169249
#> 18 0 1 2.496138 2.627070 2.554122 0.0693182337 0.10296786 -0.141970299
#> 19 0 1 2.627070 3.622562 2.700018 0.0642257965 0.10455460 -0.142938199
#> 20 1 2 1.062245 1.699981 1.648694 0.0460560702 0.04723925 -0.005933553
#> 21 1 2 1.699981 1.775368 1.751268 0.0750751867 0.06684802 -0.012520062
#> 22 1 2 1.775368 1.835269 1.799468 0.0872717881 0.07341071 -0.018637023
#> 23 1 2 1.835269 1.892682 1.871069 0.1001709913 0.07990549 -0.030611322
#> 24 1 2 1.892682 1.933662 1.914296 0.1040069902 0.08251478 -0.042898205
#> 25 1 2 1.933662 1.972404 1.953028 0.1048218673 0.08443921 -0.045084582
#> 26 1 2 1.972404 2.008396 1.991781 0.1034475294 0.08622390 -0.051684985
#> 27 1 2 2.008396 2.041395 2.025010 0.1009122980 0.08774516 -0.064309334
#> 28 1 2 2.041395 2.076143 2.057780 0.0976019161 0.08925581 -0.069687192
#> 29 1 2 2.076143 2.117286 2.094506 0.0934390548 0.09091582 -0.092108142
#> 30 1 2 2.117286 2.163326 2.140066 0.0883442411 0.09278430 -0.116650967
#> 31 1 2 2.163326 2.205605 2.186586 0.0838928570 0.09428568 -0.135770282
#> 32 1 2 2.205605 2.246900 2.224624 0.0810689153 0.09512369 -0.141499094
#> 33 1 2 2.246900 2.293677 2.269176 0.0786982987 0.09567576 -0.140802388
#> 34 1 2 2.293677 2.343877 2.318177 0.0770138410 0.09589764 -0.139321898
#> 35 1 2 2.343877 2.403865 2.369576 0.0758537957 0.09594630 -0.137403029
#> 36 1 2 2.403865 2.496138 2.438154 0.0745468471 0.09605333 -0.134985655
#> 37 1 2 2.496138 2.627070 2.554122 0.0716155158 0.09650143 -0.126381938
#> 38 1 2 2.627070 3.622562 2.700018 0.0667777807 0.09817524 -0.134882440
#> 39 2 3 1.062245 1.699981 1.648694 0.0463169313 0.04726580 -0.005933553
#> 40 2 3 1.699981 1.775368 1.751268 0.0756836339 0.06697170 -0.012669820
#> 41 2 3 1.775368 1.835269 1.799468 0.0881315957 0.07370073 -0.021943176
#> 42 2 3 1.835269 1.892682 1.871069 0.1015130298 0.08075827 -0.048722923
#> 43 2 3 1.892682 1.933662 1.914296 0.1056907816 0.08395722 -0.055101143
#> 44 2 3 1.933662 1.972404 1.953028 0.1068303832 0.08657703 -0.072059381
#> 45 2 3 1.972404 2.008396 1.991781 0.1057863732 0.08918488 -0.091534377
#> 46 2 3 2.008396 2.041395 2.025010 0.1035314787 0.09147384 -0.104478813
#> 47 2 3 2.041395 2.076143 2.057780 0.1004918942 0.09375879 -0.124536661
#> 48 2 3 2.076143 2.117286 2.094506 0.0966275434 0.09626794 -0.143155881
#> 49 2 3 2.117286 2.163326 2.140066 0.0919082200 0.09912030 -0.175663188
#> 50 2 3 2.163326 2.205605 2.186586 0.0878727366 0.10152286 -0.184960259
#> 51 2 3 2.205605 2.246900 2.224624 0.0854363656 0.10301318 -0.188916371
#> 52 2 3 2.246900 2.293677 2.269176 0.0835947258 0.10421940 -0.190307141
#> 53 2 3 2.293677 2.343877 2.318177 0.0825929150 0.10498697 -0.189033679
#> 54 2 3 2.343877 2.403865 2.369576 0.0822393912 0.10535479 -0.185931354
#> 55 2 3 2.403865 2.496138 2.438154 0.0820484509 0.10543992 -0.180815406
#> 56 2 3 2.496138 2.627070 2.554122 0.0806515847 0.10513033 -0.172943435
#> 57 2 3 2.627070 3.622562 2.700018 0.0766202979 0.10612878 -0.167015453
#> 58 3 4 1.062245 1.699981 1.648694 0.0467303386 0.04712387 -0.006229762
#> 59 3 4 1.699981 1.775368 1.751268 0.0776991500 0.06639719 -0.009631761
#> 60 3 4 1.775368 1.835269 1.799468 0.0915877603 0.07255932 -0.009179163
#> 61 3 4 1.835269 1.892682 1.871069 0.1080842310 0.07803366 -0.011863637
#> 62 3 4 1.892682 1.933662 1.914296 0.1146592477 0.07973699 -0.011993345
#> 63 3 4 1.933662 1.972404 1.953028 0.1181828079 0.08063742 -0.011628524
#> 64 3 4 1.972404 2.008396 1.991781 0.1196389094 0.08118628 -0.017302634
#> 65 3 4 2.008396 2.041395 2.025010 0.1195298006 0.08149489 -0.014631452
#> 66 3 4 2.041395 2.076143 2.057780 0.1185334691 0.08171502 -0.012741988
#> 67 3 4 2.076143 2.117286 2.094506 0.1167997016 0.08190397 -0.013600172
#> 68 3 4 2.117286 2.163326 2.140066 0.1144041051 0.08208997 -0.022661575
#> 69 3 4 2.163326 2.205605 2.186586 0.1123239106 0.08224752 -0.028898665
#> 70 3 4 2.205605 2.246900 2.224624 0.1111733327 0.08236535 -0.031089901
#> 71 3 4 2.246900 2.293677 2.269176 0.1105144462 0.08251408 -0.033060706
#> 72 3 4 2.293677 2.343877 2.318177 0.1104768335 0.08273054 -0.033925657
#> 73 3 4 2.343877 2.403865 2.369576 0.1108416463 0.08305218 -0.034281836
#> 74 3 4 2.403865 2.496138 2.438154 0.1112790792 0.08361318 -0.032553069
#> 75 3 4 2.496138 2.627070 2.554122 0.1104342344 0.08472382 -0.043078014
#> 76 3 4 2.627070 3.622562 2.700018 0.1066761392 0.08797064 -0.061007141
#> 77 4 5 1.062245 1.699981 1.648694 0.0487619550 0.04666216 -0.005684666
#> 78 4 5 1.699981 1.775368 1.751268 0.0810568256 0.06568359 -0.008759303
#> 79 4 5 1.775368 1.835269 1.799468 0.0955724220 0.07177229 -0.007608806
#> 80 4 5 1.835269 1.892682 1.871069 0.1129209510 0.07714036 -0.007139335
#> 81 4 5 1.892682 1.933662 1.914296 0.1199436975 0.07871886 -0.008077554
#> 82 4 5 1.933662 1.972404 1.953028 0.1238213992 0.07943162 -0.011399794
#> 83 4 5 1.972404 2.008396 1.991781 0.1255894595 0.07970992 -0.011975758
#> 84 4 5 2.008396 2.041395 2.025010 0.1257184676 0.07972685 -0.013193457
#> 85 4 5 2.041395 2.076143 2.057780 0.1249361387 0.07962081 -0.012451502
#> 86 4 5 2.076143 2.117286 2.094506 0.1234262621 0.07942298 -0.013337476
#> 87 4 5 2.117286 2.163326 2.140066 0.1213017074 0.07913831 -0.014471946
#> 88 4 5 2.163326 2.205605 2.186586 0.1195139705 0.07886547 -0.013482504
#> 89 4 5 2.205605 2.246900 2.224624 0.1186322241 0.07868582 -0.014261518
#> 90 4 5 2.246900 2.293677 2.269176 0.1183414672 0.07855433 -0.016051053
#> 91 4 5 2.293677 2.343877 2.318177 0.1187978837 0.07854948 -0.016373350
#> 92 4 5 2.343877 2.403865 2.369576 0.1198092943 0.07874821 -0.015498493
#> 93 4 5 2.403865 2.496138 2.438154 0.1213722565 0.07938235 -0.013363280
#> 94 4 5 2.496138 2.627070 2.554122 0.1233293590 0.08156132 -0.008677194
#> 95 4 5 2.627070 3.622562 2.700018 0.1245589837 0.08758060 -0.001173507
#> 96 5 6 1.062245 1.699981 1.648694 0.0487872608 0.04724531 -0.006238762
#> 97 5 6 1.699981 1.775368 1.751268 0.0805387409 0.06652972 -0.008759303
#> 98 5 6 1.775368 1.835269 1.799468 0.0946092491 0.07256125 -0.007608806
#> 99 5 6 1.835269 1.892682 1.871069 0.1111299259 0.07739315 -0.010949103
#> 100 5 6 1.892682 1.933662 1.914296 0.1176113361 0.07834962 -0.011835860
#> 101 5 6 1.933662 1.972404 1.953028 0.1210143929 0.07836257 -0.011531769
#> 102 5 6 1.972404 2.008396 1.991781 0.1223409422 0.07789238 -0.012029454
#> 103 5 6 2.008396 2.041395 2.025010 0.1221302802 0.07730512 -0.013371479
#> 104 5 6 2.041395 2.076143 2.057780 0.1210542770 0.07669573 -0.014337762
#> 105 5 6 2.076143 2.117286 2.094506 0.1192664139 0.07608690 -0.014897354
#> 106 5 6 2.117286 2.163326 2.140066 0.1168699205 0.07553575 -0.014753960
#> 107 5 6 2.163326 2.205605 2.186586 0.1148792991 0.07522562 -0.014544441
#> 108 5 6 2.205605 2.246900 2.224624 0.1138786894 0.07512741 -0.019936414
#> 109 5 6 2.246900 2.293677 2.269176 0.1134901983 0.07513820 -0.024450784
#> 110 5 6 2.293677 2.343877 2.318177 0.1138730611 0.07526089 -0.027566405
#> 111 5 6 2.343877 2.403865 2.369576 0.1148207434 0.07548048 -0.029990473
#> 112 5 6 2.403865 2.496138 2.438154 0.1162692695 0.07584719 -0.030130813
#> 113 5 6 2.496138 2.627070 2.554122 0.1177848887 0.07629515 -0.026934687
#> 114 5 6 2.627070 3.622562 2.700018 0.1179088558 0.07630088 -0.018583771
#> 115 6 7 1.062245 1.699981 1.648694 0.0494167855 0.04695628 -0.006236958
#> 116 6 7 1.699981 1.775368 1.751268 0.0816153558 0.06592997 -0.009631761
#> 117 6 7 1.775368 1.835269 1.799468 0.0959073260 0.07186314 -0.006376831
#> 118 6 7 1.835269 1.892682 1.871069 0.1127483572 0.07672759 -0.010949103
#> 119 6 7 1.892682 1.933662 1.914296 0.1194159578 0.07783050 -0.011804019
#> 120 6 7 1.933662 1.972404 1.953028 0.1229835376 0.07804130 -0.011087906
#> 121 6 7 1.972404 2.008396 1.991781 0.1244760744 0.07780244 -0.010687648
#> 122 6 7 2.008396 2.041395 2.025010 0.1244118466 0.07741406 -0.011172077
#> 123 6 7 2.041395 2.076143 2.057780 0.1234863445 0.07698151 -0.012451502
#> 124 6 7 2.076143 2.117286 2.094506 0.1218763636 0.07653375 -0.013337476
#> 125 6 7 2.117286 2.163326 2.140066 0.1197153602 0.07612246 -0.013386342
#> 126 6 7 2.163326 2.205605 2.186586 0.1179803659 0.07590084 -0.013405142
#> 127 6 7 2.205605 2.246900 2.224624 0.1171961753 0.07585303 -0.014482586
#> 128 6 7 2.246900 2.293677 2.269176 0.1170626186 0.07591735 -0.021213747
#> 129 6 7 2.293677 2.343877 2.318177 0.1177171368 0.07610506 -0.026811542
#> 130 6 7 2.343877 2.403865 2.369576 0.1189272479 0.07639899 -0.029209595
#> 131 6 7 2.403865 2.496138 2.438154 0.1206720080 0.07685295 -0.029213114
#> 132 6 7 2.496138 2.627070 2.554122 0.1225230309 0.07736041 -0.019279965
#> 133 6 7 2.627070 3.622562 2.700018 0.1228224860 0.07732332 -0.004642118
#> 134 7 8 1.062245 1.699981 1.648694 0.0539657454 0.04917441 -0.000832610
#> 135 7 8 1.699981 1.775368 1.751268 0.0882205553 0.07006917 -0.003872626
#> 136 7 8 1.775368 1.835269 1.799468 0.1032040132 0.07730117 -0.006336346
#> 137 7 8 1.835269 1.892682 1.871069 0.1206169195 0.08446041 -0.010797869
#> 138 7 8 1.892682 1.933662 1.914296 0.1273734263 0.08697099 -0.011804019
#> 139 7 8 1.933662 1.972404 1.953028 0.1308845948 0.08830267 -0.011087906
#> 140 7 8 1.972404 2.008396 1.991781 0.1322232459 0.08894948 -0.010687648
#> 141 7 8 2.008396 2.041395 2.025010 0.1319748410 0.08908657 -0.011172077
#> 142 7 8 2.041395 2.076143 2.057780 0.1308420684 0.08895173 -0.014159844
#> 143 7 8 2.076143 2.117286 2.094506 0.1289922720 0.08860083 -0.014736076
#> 144 7 8 2.117286 2.163326 2.140066 0.1265535121 0.08804311 -0.014652940
#> 145 7 8 2.163326 2.205605 2.186586 0.1245851829 0.08749635 -0.014417387
#> 146 7 8 2.205605 2.246900 2.224624 0.1236593540 0.08714033 -0.019757948
#> 147 7 8 2.246900 2.293677 2.269176 0.1234188918 0.08686301 -0.023699651
#> 148 7 8 2.293677 2.343877 2.318177 0.1240233178 0.08673492 -0.020876373
#> 149 7 8 2.343877 2.403865 2.369576 0.1252428909 0.08676593 -0.020278791
#> 150 7 8 2.403865 2.496138 2.438154 0.1270695534 0.08695059 -0.018192886
#> 151 7 8 2.496138 2.627070 2.554122 0.1291424000 0.08716191 -0.020313462
#> 152 7 8 2.627070 3.622562 2.700018 0.1296813728 0.08695128 -0.011044416
#> 153 8 9 1.062245 1.699981 1.648694 0.0535346338 0.04931103 -0.001724467
#> 154 8 9 1.699981 1.775368 1.751268 0.0872156345 0.07048593 -0.009642251
#> 155 8 9 1.775368 1.835269 1.799468 0.1017769267 0.07798546 -0.010883027
#> 156 8 9 1.835269 1.892682 1.871069 0.1183692278 0.08579708 -0.011821433
#> 157 8 9 1.892682 1.933662 1.914296 0.1245397608 0.08887869 -0.013101582
#> 158 8 9 1.933662 1.972404 1.953028 0.1274950107 0.09083738 -0.016165946
#> 159 8 9 1.972404 2.008396 1.991781 0.1282757294 0.09220597 -0.023161335
#> 160 8 9 2.008396 2.041395 2.025010 0.1275689770 0.09301671 -0.026841894
#> 161 8 9 2.041395 2.076143 2.057780 0.1260194164 0.09357221 -0.030261722
#> 162 8 9 2.076143 2.117286 2.094506 0.1237600584 0.09399560 -0.033689135
#> 163 8 9 2.117286 2.163326 2.140066 0.1209149242 0.09435277 -0.037120982
#> 164 8 9 2.163326 2.205605 2.186586 0.1186559886 0.09464225 -0.039522748
#> 165 8 9 2.205605 2.246900 2.224624 0.1175823394 0.09487573 -0.040775434
#> 166 8 9 2.246900 2.293677 2.269176 0.1172589349 0.09517235 -0.041618754
#> 167 8 9 2.293677 2.343877 2.318177 0.1178623877 0.09553246 -0.041986251
#> 168 8 9 2.343877 2.403865 2.369576 0.1191524054 0.09592760 -0.041931884
#> 169 8 9 2.403865 2.496138 2.438154 0.1211333482 0.09640065 -0.041066323
#> 170 8 9 2.496138 2.627070 2.554122 0.1234711224 0.09674393 -0.038973912
#> 171 8 9 2.627070 3.622562 2.700018 0.1241755715 0.09636522 -0.041241785
#> 172 9 10 1.062245 1.699981 1.648694 0.0492778001 0.04820058 -0.006740170
#> 173 9 10 1.699981 1.775368 1.751268 0.0723400525 0.06920018 -0.035485225
#> 174 9 10 1.775368 1.835269 1.799468 0.0777655588 0.07898196 -0.066857836
#> 175 9 10 1.835269 1.892682 1.871069 0.0751708549 0.09791446 -0.160031110
#> 176 9 10 1.892682 1.933662 1.914296 0.0670231566 0.11380668 -0.228118395
#> 177 9 10 1.933662 1.972404 1.953028 0.0561383397 0.13090188 -0.296231221
#> 178 9 10 1.972404 2.008396 1.991781 0.0428793783 0.14976828 -0.367358217
#> 179 9 10 2.008396 2.041395 2.025010 0.0305692042 0.16635768 -0.427626050
#> 180 9 10 2.041395 2.076143 2.057780 0.0184250278 0.18221000 -0.483852247
#> 181 9 10 2.076143 2.117286 2.094506 0.0056944839 0.19850824 -0.541091186
#> 182 9 10 2.117286 2.163326 2.140066 -0.0077044727 0.21559189 -0.600605981
#> 183 9 10 2.163326 2.205605 2.186586 -0.0178818257 0.22891781 -0.646424441
#> 184 9 10 2.205605 2.246900 2.224624 -0.0234888264 0.23681677 -0.673271193
#> 185 9 10 2.246900 2.293677 2.269176 -0.0273220764 0.24315825 -0.694637083
#> 186 9 10 2.293677 2.343877 2.318177 -0.0289409646 0.24739331 -0.708624646
#> 187 9 10 2.343877 2.403865 2.369576 -0.0288089311 0.24981087 -0.716223853
#> 188 9 10 2.403865 2.496138 2.438154 -0.0273956301 0.25126867 -0.720257822
#> 189 9 10 2.496138 2.627070 2.554122 -0.0250944017 0.25180639 -0.721405758
#> 190 9 10 2.627070 3.622562 2.700018 -0.0239904607 0.25129360 -0.721100038
#> 191 10 11 1.062245 1.699981 1.648694 0.0190629308 0.04655650 -0.040078283
#> 192 10 11 1.699981 1.775368 1.751268 -0.0349309470 0.06481120 -0.131678362
#> 193 10 11 1.775368 1.835269 1.799468 -0.0964783091 0.07158491 -0.212590265
#> 194 10 11 1.835269 1.892682 1.871069 -0.2405605403 0.08195072 -0.373213042
#> 195 10 11 1.892682 1.933662 1.914296 -0.3546809182 0.08950150 -0.496433502
#> 196 10 11 1.933662 1.972404 1.953028 -0.4681806310 0.09705729 -0.619952690
#> 197 10 11 1.972404 2.008396 1.991781 -0.5856602303 0.10485065 -0.740466085
#> 198 10 11 2.008396 2.041395 2.025010 -0.6841824465 0.11127578 -0.836944932
#> 199 10 11 2.041395 2.076143 2.057780 -0.7751029779 0.11707752 -0.930140387
#> 200 10 11 2.076143 2.117286 2.094506 -0.8657632841 0.12274365 -1.031217905
#> 201 10 11 2.117286 2.163326 2.140066 -0.9578273518 0.12841934 -1.123328315
#> 202 10 11 2.163326 2.205605 2.186586 -1.0271939515 0.13269226 -1.190553611
#> 203 10 11 2.205605 2.246900 2.224624 -1.0668380233 0.13514254 -1.229588314
#> 204 10 11 2.246900 2.293677 2.269176 -1.0972101317 0.13699967 -1.262929516
#> 205 10 11 2.293677 2.343877 2.318177 -1.1158613500 0.13807755 -1.277204281
#> 206 10 11 2.343877 2.403865 2.369576 -1.1248535159 0.13851784 -1.283384446
#> 207 10 11 2.403865 2.496138 2.438154 -1.1283144508 0.13862536 -1.286343823
#> 208 10 11 2.496138 2.627070 2.554122 -1.1276947754 0.13878089 -1.290075261
#> 209 10 11 2.627070 3.622562 2.700018 -1.1267633760 0.13957012 -1.291440109
#> 210 11 12 1.062245 1.699981 1.648694 0.0185922060 0.04650123 -0.040078283
#> 211 11 12 1.699981 1.775368 1.751268 -0.0368580645 0.06425484 -0.131678362
#> 212 11 12 1.775368 1.835269 1.799468 -0.0997711920 0.06997418 -0.212588128
#> 213 11 12 1.835269 1.892682 1.871069 -0.2469187445 0.07625775 -0.373025891
#> 214 11 12 1.892682 1.933662 1.914296 -0.3634576785 0.07932592 -0.496433502
#> 215 11 12 1.933662 1.972404 1.953028 -0.4793850482 0.08159950 -0.619952690
#> 216 11 12 1.972404 2.008396 1.991781 -0.5994112807 0.08323306 -0.740466085
#> 217 11 12 2.008396 2.041395 2.025010 -0.7001002310 0.08403886 -0.836944932
#> 218 11 12 2.041395 2.076143 2.057780 -0.7930476635 0.08434778 -0.930140387
#> 219 11 12 2.076143 2.117286 2.094506 -0.8857556355 0.08431143 -1.029727413
#> 220 11 12 2.117286 2.163326 2.140066 -0.9799212657 0.08407643 -1.126767361
#> 221 11 12 2.163326 2.205605 2.186586 -1.0508680299 0.08392380 -1.196872309
#> 222 11 12 2.205605 2.246900 2.224624 -1.0913864116 0.08389150 -1.231273779
#> 223 11 12 2.246900 2.293677 2.269176 -1.1223621351 0.08384881 -1.262929516
#> 224 11 12 2.293677 2.343877 2.318177 -1.1412602999 0.08368139 -1.277204281
#> 225 11 12 2.343877 2.403865 2.369576 -1.1501837954 0.08338043 -1.283384446
#> 226 11 12 2.403865 2.496138 2.438154 -1.1532643343 0.08299994 -1.286072540
#> 227 11 12 2.496138 2.627070 2.554122 -1.1518457867 0.08294513 -1.289782931
#> 228 11 12 2.627070 3.622562 2.700018 -1.1502890566 0.08363299 -1.291141949
#> 229 12 13 1.062245 1.699981 1.648694 0.0186125824 0.04640188 -0.039748766
#> 230 12 13 1.699981 1.775368 1.751268 -0.0369415266 0.06426681 -0.131678362
#> 231 12 13 1.775368 1.835269 1.799468 -0.0999287112 0.07013210 -0.212588128
#> 232 12 13 1.835269 1.892682 1.871069 -0.2471943270 0.07673054 -0.373025891
#> 233 12 13 1.892682 1.933662 1.914296 -0.3637972777 0.08000144 -0.496433502
#> 234 12 13 1.933662 1.972404 1.953028 -0.4797711817 0.08243197 -0.621352745
#> 235 12 13 1.972404 2.008396 1.991781 -0.5998306951 0.08418213 -0.740466085
#> 236 12 13 2.008396 2.041395 2.025010 -0.7005364626 0.08504994 -0.836944932
#> 237 12 13 2.041395 2.076143 2.057780 -0.7934897113 0.08538521 -0.930140387
#> 238 12 13 2.076143 2.117286 2.094506 -0.8861920862 0.08534073 -1.029710830
#> 239 12 13 2.117286 2.163326 2.140066 -0.9803350401 0.08505203 -1.126767361
#> 240 12 13 2.163326 2.205605 2.186586 -1.0512444302 0.08481601 -1.196872309
#> 241 12 13 2.205605 2.246900 2.224624 -1.0917249476 0.08471117 -1.231273779
#> 242 12 13 2.246900 2.293677 2.269176 -1.1226518750 0.08459300 -1.262929516
#> 243 12 13 2.293677 2.343877 2.318177 -1.1414950369 0.08436224 -1.277204281
#> 244 12 13 2.343877 2.403865 2.369576 -1.1503624889 0.08401535 -1.283384446
#> 245 12 13 2.403865 2.496138 2.438154 -1.1533708174 0.08359084 -1.280329044
#> 246 12 13 2.496138 2.627070 2.554122 -1.1518142768 0.08345411 -1.289910252
#> 247 12 13 2.627070 3.622562 2.700018 -1.1500164863 0.08400998 -1.291489226
#> 248 13 14 1.062245 1.699981 1.648694 0.0176405098 0.04642228 -0.040312518
#> 249 13 14 1.699981 1.775368 1.751268 -0.0385788256 0.06451206 -0.131919085
#> 250 13 14 1.775368 1.835269 1.799468 -0.1018958972 0.07053781 -0.214225859
#> 251 13 14 1.835269 1.892682 1.871069 -0.2496279482 0.07734822 -0.380655461
#> 252 13 14 1.892682 1.933662 1.914296 -0.3664823171 0.08066939 -0.504173604
#> 253 13 14 1.933662 1.972404 1.953028 -0.4826548307 0.08306763 -0.622239376
#> 254 13 14 1.972404 2.008396 1.991781 -0.6028849694 0.08470748 -0.747867743
#> 255 13 14 2.008396 2.041395 2.025010 -0.7037143335 0.08542330 -0.856391325
#> 256 13 14 2.041395 2.076143 2.057780 -0.7967699840 0.08556584 -0.947078504
#> 257 13 14 2.076143 2.117286 2.094506 -0.8895666068 0.08527061 -1.034766300
#> 258 13 14 2.117286 2.163326 2.140066 -0.9838019005 0.08465565 -1.134583079
#> 259 13 14 2.163326 2.205605 2.186586 -1.0547857182 0.08412468 -1.203231195
#> 260 13 14 2.205605 2.246900 2.224624 -1.0953186789 0.08384855 -1.239372079
#> 261 13 14 2.246900 2.293677 2.269176 -1.1263044550 0.08364189 -1.266932398
#> 262 13 14 2.293677 2.343877 2.318177 -1.1452166762 0.08346226 -1.280990537
#> 263 13 14 2.343877 2.403865 2.369576 -1.1541673823 0.08330173 -1.291399520
#> 264 13 14 2.403865 2.496138 2.438154 -1.1573042374 0.08320726 -1.296367320
#> 265 13 14 2.496138 2.627070 2.554122 -1.1559621800 0.08342634 -1.296533942
#> 266 13 14 2.627070 3.622562 2.700018 -1.1542980185 0.08393965 -1.304480052
#> 267 14 15 1.062245 1.699981 1.648694 0.0176006207 0.04663075 -0.040549630
#> 268 14 15 1.699981 1.775368 1.751268 -0.0384391974 0.06496588 -0.131795562
#> 269 14 15 1.775368 1.835269 1.799468 -0.1015409915 0.07116397 -0.213649269
#> 270 14 15 1.835269 1.892682 1.871069 -0.2487542131 0.07831467 -0.382342686
#> 271 14 15 1.892682 1.933662 1.914296 -0.3651902310 0.08188871 -0.508256348
#> 272 14 15 1.933662 1.972404 1.953028 -0.4809426431 0.08454127 -0.631460652
#> 273 14 15 1.972404 2.008396 1.991781 -0.6007343830 0.08646104 -0.755267346
#> 274 14 15 2.008396 2.041395 2.025010 -0.7011931317 0.08743613 -0.856977018
#> 275 14 15 2.041395 2.076143 2.057780 -0.7939037358 0.08784795 -0.950676850
#> 276 14 15 2.076143 2.117286 2.094506 -0.8863521680 0.08786055 -1.043006758
#> 277 14 15 2.117286 2.163326 2.140066 -0.9802270349 0.08761045 -1.134759707
#> 278 14 15 2.163326 2.205605 2.186586 -1.0509311618 0.08739563 -1.203433296
#> 279 14 15 2.205605 2.246900 2.224624 -1.0912987897 0.08731332 -1.241190141
#> 280 14 15 2.246900 2.293677 2.269176 -1.1221542316 0.08724640 -1.270429707
#> 281 14 15 2.293677 2.343877 2.318177 -1.1409878073 0.08710835 -1.288646234
#> 282 14 15 2.343877 2.403865 2.369576 -1.1499123232 0.08687481 -1.295587692
#> 283 14 15 2.403865 2.496138 2.438154 -1.1530788411 0.08654530 -1.296525166
#> 284 14 15 2.496138 2.627070 2.554122 -1.1518809040 0.08630019 -1.295919072
#> 285 14 15 2.627070 3.622562 2.700018 -1.1504061987 0.08669372 -1.299922976
#> 286 15 16 1.062245 1.699981 1.648694 0.0367861592 0.04135575 -0.007134841
#> 287 15 16 1.699981 1.775368 1.751268 0.0570381141 0.05971627 -0.016964566
#> 288 15 16 1.775368 1.835269 1.799468 0.0641110178 0.06602351 -0.023046110
#> 289 15 16 1.835269 1.892682 1.871069 0.0691989496 0.07170600 -0.032394703
#> 290 15 16 1.892682 1.933662 1.914296 0.0688718902 0.07317578 -0.036703571
#> 291 15 16 1.933662 1.972404 1.953028 0.0667245386 0.07356723 -0.038058226
#> 292 15 16 1.972404 2.008396 1.991781 0.0633436648 0.07341331 -0.041398445
#> 293 15 16 2.008396 2.041395 2.025010 0.0599350179 0.07307915 -0.045583380
#> 294 15 16 2.041395 2.076143 2.057780 0.0565250404 0.07272079 -0.047210177
#> 295 15 16 2.076143 2.117286 2.094506 0.0530657626 0.07238825 -0.055689812
#> 296 15 16 2.117286 2.163326 2.140066 0.0498105971 0.07212400 -0.058212940
#> 297 15 16 2.163326 2.205605 2.186586 0.0479972078 0.07197956 -0.056615527
#> 298 15 16 2.205605 2.246900 2.224624 0.0476558328 0.07190461 -0.052604542
#> 299 15 16 2.246900 2.293677 2.269176 0.0483505504 0.07183818 -0.045676847
#> 300 15 16 2.293677 2.343877 2.318177 0.0500547216 0.07180240 -0.049013648
#> 301 15 16 2.343877 2.403865 2.369576 0.0523404468 0.07183736 -0.049984112
#> 302 15 16 2.403865 2.496138 2.438154 0.0553407741 0.07200142 -0.053449138
#> 303 15 16 2.496138 2.627070 2.554122 0.0588049650 0.07231892 -0.054223241
#> 304 15 16 2.627070 3.622562 2.700018 0.0604876405 0.07249164 -0.037206826
#> 305 16 17 1.062245 1.699981 1.648694 0.0359563076 0.04026176 -0.007079988
#> 306 16 17 1.699981 1.775368 1.751268 0.0559141396 0.05832055 -0.016824333
#> 307 16 17 1.775368 1.835269 1.799468 0.0629556118 0.06454410 -0.021394561
#> 308 16 17 1.835269 1.892682 1.871069 0.0681688537 0.07005485 -0.031940094
#> 309 16 17 1.892682 1.933662 1.914296 0.0680119520 0.07131094 -0.034516828
#> 310 16 17 1.933662 1.972404 1.953028 0.0660623654 0.07139457 -0.036799545
#> 311 16 17 1.972404 2.008396 1.991781 0.0629046440 0.07080764 -0.039253729
#> 312 16 17 2.008396 2.041395 2.025010 0.0596932264 0.07001104 -0.040967751
#> 313 16 17 2.041395 2.076143 2.057780 0.0564714885 0.06913806 -0.041325941
#> 314 16 17 2.076143 2.117286 2.094506 0.0532048269 0.06820086 -0.040750034
#> 315 16 17 2.117286 2.163326 2.140066 0.0501497919 0.06721865 -0.041028992
#> 316 16 17 2.163326 2.205605 2.186586 0.0484905802 0.06645225 -0.040674864
#> 317 16 17 2.205605 2.246900 2.224624 0.0482395121 0.06598190 -0.039994315
#> 318 16 17 2.246900 2.293677 2.269176 0.0490061627 0.06558351 -0.041730872
#> 319 16 17 2.293677 2.343877 2.318177 0.0507585581 0.06531915 -0.038850802
#> 320 16 17 2.343877 2.403865 2.369576 0.0530729240 0.06521793 -0.038712244
#> 321 16 17 2.403865 2.496138 2.438154 0.0560933302 0.06527681 -0.037825414
#> 322 16 17 2.496138 2.627070 2.554122 0.0595732704 0.06545040 -0.035879523
#> 323 16 17 2.627070 3.622562 2.700018 0.0612636222 0.06553141 -0.033597200
#> 324 17 18 1.062245 1.699981 1.648694 0.0350393369 0.04035645 -0.007622146
#> 325 17 18 1.699981 1.775368 1.751268 0.0542027441 0.05824202 -0.017452839
#> 326 17 18 1.775368 1.835269 1.799468 0.0608626050 0.06433691 -0.023557029
#> 327 17 18 1.835269 1.892682 1.871069 0.0655946509 0.06968549 -0.032394703
#> 328 17 18 1.892682 1.933662 1.914296 0.0652244779 0.07089752 -0.037078311
#> 329 17 18 1.933662 1.972404 1.953028 0.0631400259 0.07098482 -0.039106879
#> 330 17 18 1.972404 2.008396 1.991781 0.0598993201 0.07043564 -0.041032474
#> 331 17 18 2.008396 2.041395 2.025010 0.0566547086 0.06968748 -0.041574403
#> 332 17 18 2.041395 2.076143 2.057780 0.0534305029 0.06886530 -0.044236693
#> 333 17 18 2.076143 2.117286 2.094506 0.0501915351 0.06797656 -0.046819007
#> 334 17 18 2.117286 2.163326 2.140066 0.0472066872 0.06702913 -0.042498584
#> 335 17 18 2.163326 2.205605 2.186586 0.0456486497 0.06626412 -0.042145577
#> 336 17 18 2.205605 2.246900 2.224624 0.0454938242 0.06577206 -0.042366838
#> 337 17 18 2.246900 2.293677 2.269176 0.0463791431 0.06532859 -0.044126650
#> 338 17 18 2.293677 2.343877 2.318177 0.0482585549 0.06499824 -0.040451844
#> 339 17 18 2.343877 2.403865 2.369576 0.0506916055 0.06481694 -0.043988391
#> 340 17 18 2.403865 2.496138 2.438154 0.0538360739 0.06476203 -0.042463858
#> 341 17 18 2.496138 2.627070 2.554122 0.0574352921 0.06475636 -0.036144113
#> 342 17 18 2.627070 3.622562 2.700018 0.0591717443 0.06469572 -0.035595597
#> 343 18 19 1.062245 1.699981 1.648694 0.0339922358 0.03919995 -0.007622146
#> 344 18 19 1.699981 1.775368 1.751268 0.0521580017 0.05642859 -0.017452839
#> 345 18 19 1.775368 1.835269 1.799468 0.0583552184 0.06228881 -0.023557029
#> 346 18 19 1.835269 1.892682 1.871069 0.0625901023 0.06735204 -0.032394703
#> 347 18 19 1.892682 1.933662 1.914296 0.0620915237 0.06837622 -0.039300549
#> 348 18 19 1.933662 1.972404 1.953028 0.0600181957 0.06825170 -0.040013003
#> 349 18 19 1.972404 2.008396 1.991781 0.0569020925 0.06743696 -0.041500273
#> 350 18 19 2.008396 2.041395 2.025010 0.0538408006 0.06642314 -0.046914027
#> 351 18 19 2.041395 2.076143 2.057780 0.0508490946 0.06532170 -0.048370507
#> 352 18 19 2.076143 2.117286 2.094506 0.0479084998 0.06413214 -0.047272384
#> 353 18 19 2.117286 2.163326 2.140066 0.0453118699 0.06289347 -0.047289617
#> 354 18 19 2.163326 2.205605 2.186586 0.0441313045 0.06199818 -0.046462027
#> 355 18 19 2.205605 2.246900 2.224624 0.0442509572 0.06155718 -0.045963525
#> 356 18 19 2.246900 2.293677 2.269176 0.0454090000 0.06135122 -0.044764188
#> 357 18 19 2.293677 2.343877 2.318177 0.0475292583 0.06145300 -0.043586880
#> 358 18 19 2.343877 2.403865 2.369576 0.0501612584 0.06181875 -0.045207205
#> 359 18 19 2.403865 2.496138 2.438154 0.0535159817 0.06245454 -0.044727105
#> 360 18 19 2.496138 2.627070 2.554122 0.0574016538 0.06312036 -0.036728269
#> 361 18 19 2.627070 3.622562 2.700018 0.0594010741 0.06316765 -0.032558351
#> 362 19 20 1.062245 1.699981 1.648694 0.0328219560 0.03921728 -0.013748890
#> 363 19 20 1.699981 1.775368 1.751268 0.0502502514 0.05659879 -0.018991019
#> 364 19 20 1.775368 1.835269 1.799468 0.0561044513 0.06250365 -0.023404230
#> 365 19 20 1.835269 1.892682 1.871069 0.0598824871 0.06751356 -0.032173978
#> 366 19 20 1.892682 1.933662 1.914296 0.0591533085 0.06841634 -0.039300549
#> 367 19 20 1.933662 1.972404 1.953028 0.0569083188 0.06813199 -0.040013003
#> 368 19 20 1.972404 2.008396 1.991781 0.0536562787 0.06712767 -0.041500273
#> 369 19 20 2.008396 2.041395 2.025010 0.0505080279 0.06594733 -0.046914027
#> 370 19 20 2.041395 2.076143 2.057780 0.0474575421 0.06469623 -0.048370507
#> 371 19 20 2.076143 2.117286 2.094506 0.0444823682 0.06337368 -0.047272384
#> 372 19 20 2.117286 2.163326 2.140066 0.0418866732 0.06203654 -0.048744528
#> 373 19 20 2.163326 2.205605 2.186586 0.0407527426 0.06111406 -0.048925151
#> 374 19 20 2.205605 2.246900 2.224624 0.0409401933 0.06069033 -0.047688488
#> 375 19 20 2.246900 2.293677 2.269176 0.0422047193 0.06052628 -0.044940662
#> 376 19 20 2.293677 2.343877 2.318177 0.0444649753 0.06067714 -0.045817619
#> 377 19 20 2.343877 2.403865 2.369576 0.0472538690 0.06108390 -0.045845390
#> 378 19 20 2.403865 2.496138 2.438154 0.0508030148 0.06176201 -0.045823433
#> 379 19 20 2.496138 2.627070 2.554122 0.0548897891 0.06252314 -0.038137092
#> 380 19 20 2.627070 3.622562 2.700018 0.0568720558 0.06276100 -0.035799066
#> 381 20 21 1.062245 1.699981 1.648694 0.0330889492 0.03979159 -0.013748890
#> 382 20 21 1.699981 1.775368 1.751268 0.0506394523 0.05740941 -0.018991019
#> 383 20 21 1.775368 1.835269 1.799468 0.0565398972 0.06334332 -0.023404230
#> 384 20 21 1.835269 1.892682 1.871069 0.0603722494 0.06828671 -0.031442630
#> 385 20 21 1.892682 1.933662 1.914296 0.0596699731 0.06910565 -0.037078311
#> 386 20 21 1.933662 1.972404 1.953028 0.0574469552 0.06873547 -0.037274089
#> 387 20 21 1.972404 2.008396 1.991781 0.0542155461 0.06764671 -0.041032474
#> 388 20 21 2.008396 2.041395 2.025010 0.0510839053 0.06640090 -0.042241984
#> 389 20 21 2.041395 2.076143 2.057780 0.0480484840 0.06509390 -0.044888226
#> 390 20 21 2.076143 2.117286 2.094506 0.0450880504 0.06371891 -0.046964654
#> 391 20 21 2.117286 2.163326 2.140066 0.0425066002 0.06232835 -0.048744528
#> 392 20 21 2.163326 2.205605 2.186586 0.0413820827 0.06135910 -0.048925151
#> 393 20 21 2.205605 2.246900 2.224624 0.0415736911 0.06090056 -0.047688488
#> 394 20 21 2.246900 2.293677 2.269176 0.0428401609 0.06070126 -0.044764188
#> 395 20 21 2.293677 2.343877 2.318177 0.0451008201 0.06082719 -0.041817399
#> 396 20 21 2.343877 2.403865 2.369576 0.0478902447 0.06123404 -0.042220261
#> 397 20 21 2.403865 2.496138 2.438154 0.0514415976 0.06196740 -0.040334307
#> 398 20 21 2.496138 2.627070 2.554122 0.0555267845 0.06295147 -0.036810215
#> 399 20 21 2.627070 3.622562 2.700018 0.0574691596 0.06351459 -0.035799066
#> 400 21 22 1.062245 1.699981 1.648694 0.0330052265 0.03989891 -0.015908946
#> 401 21 22 1.699981 1.775368 1.751268 0.0504921811 0.05763980 -0.020669222
#> 402 21 22 1.775368 1.835269 1.799468 0.0563706118 0.06364283 -0.024816597
#> 403 21 22 1.835269 1.892682 1.871069 0.0601953301 0.06869138 -0.032633539
#> 404 21 22 1.892682 1.933662 1.914296 0.0595066043 0.06957256 -0.039318379
#> 405 21 22 1.933662 1.972404 1.953028 0.0573066470 0.06925651 -0.040088474
#> 406 21 22 1.972404 2.008396 1.991781 0.0541058144 0.06821933 -0.041551585
#> 407 21 22 2.008396 2.041395 2.025010 0.0510032162 0.06701415 -0.046912145
#> 408 21 22 2.041395 2.076143 2.057780 0.0479958276 0.06574199 -0.046772527
#> 409 21 22 2.076143 2.117286 2.094506 0.0450624834 0.06439721 -0.046976222
#> 410 21 22 2.117286 2.163326 2.140066 0.0425034304 0.06302659 -0.048744528
#> 411 21 22 2.163326 2.205605 2.186586 0.0413853464 0.06205216 -0.048925151
#> 412 21 22 2.205605 2.246900 2.224624 0.0415694566 0.06156639 -0.047688488
#> 413 21 22 2.246900 2.293677 2.269176 0.0428144991 0.06130550 -0.044764188
#> 414 21 22 2.293677 2.343877 2.318177 0.0450401779 0.06132595 -0.041817399
#> 415 21 22 2.343877 2.403865 2.369576 0.0477858336 0.06158648 -0.042220261
#> 416 21 22 2.403865 2.496138 2.438154 0.0512757284 0.06209695 -0.040334307
#> 417 21 22 2.496138 2.627070 2.554122 0.0552635886 0.06275626 -0.036810215
#> 418 21 22 2.627070 3.622562 2.700018 0.0571141957 0.06313299 -0.034410740
#> 419 22 23 1.062245 1.699981 1.648694 0.0327308928 0.03977043 -0.018094314
#> 420 22 23 1.699981 1.775368 1.751268 0.0500991271 0.05747996 -0.020669222
#> 421 22 23 1.775368 1.835269 1.799468 0.0559469669 0.06345787 -0.024816597
#> 422 22 23 1.835269 1.892682 1.871069 0.0597738466 0.06843972 -0.032633539
#> 423 22 23 1.892682 1.933662 1.914296 0.0591172185 0.06925977 -0.039318379
#> 424 22 23 1.933662 1.972404 1.953028 0.0569649350 0.06887437 -0.040088474
#> 425 22 23 1.972404 2.008396 1.991781 0.0538269952 0.06775350 -0.041551585
#> 426 22 23 2.008396 2.041395 2.025010 0.0507873027 0.06646589 -0.041598984
#> 427 22 23 2.041395 2.076143 2.057780 0.0478466756 0.06510544 -0.044138218
#> 428 22 23 2.076143 2.117286 2.094506 0.0449893722 0.06365976 -0.045167136
#> 429 22 23 2.117286 2.163326 2.140066 0.0425193778 0.06217646 -0.043000772
#> 430 22 23 2.163326 2.205605 2.186586 0.0414786068 0.06112207 -0.041963735
#> 431 22 23 2.205605 2.246900 2.224624 0.0417118919 0.06060810 -0.041340784
#> 432 22 23 2.246900 2.293677 2.269176 0.0429969690 0.06035797 -0.038961304
#> 433 22 23 2.293677 2.343877 2.318177 0.0452463402 0.06043195 -0.040407896
#> 434 22 23 2.343877 2.403865 2.369576 0.0479989429 0.06076901 -0.035267651
#> 435 22 23 2.403865 2.496138 2.438154 0.0514813143 0.06136637 -0.037965455
#> 436 22 23 2.496138 2.627070 2.554122 0.0554467127 0.06205644 -0.033808019
#> 437 22 23 2.627070 3.622562 2.700018 0.0572833357 0.06236041 -0.033642854
#> 438 23 24 1.062245 1.699981 1.648694 0.0311376915 0.03939485 -0.018478071
#> 439 23 24 1.699981 1.775368 1.751268 0.0476864008 0.05730954 -0.024669904
#> 440 23 24 1.775368 1.835269 1.799468 0.0532140202 0.06346986 -0.025938459
#> 441 23 24 1.835269 1.892682 1.871069 0.0566924160 0.06876958 -0.034002239
#> 442 23 24 1.892682 1.933662 1.914296 0.0559021452 0.06978742 -0.039318373
#> 443 23 24 1.933662 1.972404 1.953028 0.0536739382 0.06957492 -0.040088474
#> 444 23 24 1.972404 2.008396 1.991781 0.0504941902 0.06861881 -0.044550123
#> 445 23 24 2.008396 2.041395 2.025010 0.0474395004 0.06746289 -0.048104386
#> 446 23 24 2.041395 2.076143 2.057780 0.0444972617 0.06622104 -0.050992345
#> 447 23 24 2.076143 2.117286 2.094506 0.0416474323 0.06489277 -0.047952213
#> 448 23 24 2.117286 2.163326 2.140066 0.0391914310 0.06353159 -0.049049617
#> 449 23 24 2.163326 2.205605 2.186586 0.0381619184 0.06257830 -0.049423846
#> 450 23 24 2.205605 2.246900 2.224624 0.0383985375 0.06213311 -0.050777816
#> 451 23 24 2.246900 2.293677 2.269176 0.0396800228 0.06195027 -0.048174012
#> 452 23 24 2.293677 2.343877 2.318177 0.0419184799 0.06208085 -0.050001180
#> 453 23 24 2.343877 2.403865 2.369576 0.0446569922 0.06245377 -0.049506284
#> 454 23 24 2.403865 2.496138 2.438154 0.0481257775 0.06305931 -0.044681061
#> 455 23 24 2.496138 2.627070 2.554122 0.0520957759 0.06370512 -0.041285637
#> 456 23 24 2.627070 3.622562 2.700018 0.0539635258 0.06399008 -0.033642854
#> 457 24 25 1.062245 1.699981 1.648694 0.0296395577 0.03833032 -0.018478071
#> 458 24 25 1.699981 1.775368 1.751268 0.0454758287 0.05585236 -0.024669904
#> 459 24 25 1.775368 1.835269 1.799468 0.0507371026 0.06193681 -0.025938459
#> 460 24 25 1.835269 1.892682 1.871069 0.0539300995 0.06726570 -0.034033405
#> 461 24 25 1.892682 1.933662 1.914296 0.0530260271 0.06836246 -0.039805670
#> 462 24 25 1.933662 1.972404 1.953028 0.0507252178 0.06824104 -0.046950921
#> 463 24 25 1.972404 2.008396 1.991781 0.0474937002 0.06738147 -0.048894718
#> 464 24 25 2.008396 2.041395 2.025010 0.0444066982 0.06630464 -0.049109772
#> 465 24 25 2.041395 2.076143 2.057780 0.0414403506 0.06513317 -0.053183945
#> 466 24 25 2.076143 2.117286 2.094506 0.0385698408 0.06387321 -0.053384673
#> 467 24 25 2.117286 2.163326 2.140066 0.0360939731 0.06258415 -0.049575303
#> 468 24 25 2.163326 2.205605 2.186586 0.0350470788 0.06169937 -0.049423846
#> 469 24 25 2.205605 2.246900 2.224624 0.0352689752 0.06131480 -0.050777816
#> 470 24 25 2.246900 2.293677 2.269176 0.0365294615 0.06121560 -0.048174012
#> 471 24 25 2.293677 2.343877 2.318177 0.0387362247 0.06145762 -0.050001180
#> 472 24 25 2.343877 2.403865 2.369576 0.0414280442 0.06196846 -0.049506284
#> 473 24 25 2.403865 2.496138 2.438154 0.0448110081 0.06278862 -0.044681061
#> 474 24 25 2.496138 2.627070 2.554122 0.0485975428 0.06386653 -0.043232494
#> 475 24 25 2.627070 3.622562 2.700018 0.0502737683 0.06460707 -0.034831249
#> 476 25 26 1.062245 1.699981 1.648694 0.0282841020 0.03719212 -0.018478071
#> 477 25 26 1.699981 1.775368 1.751268 0.0430831224 0.05373156 -0.026987596
#> 478 25 26 1.775368 1.835269 1.799468 0.0478270611 0.05932491 -0.031601158
#> 479 25 26 1.835269 1.892682 1.871069 0.0502998089 0.06405605 -0.039919519
#> 480 25 26 1.892682 1.933662 1.914296 0.0490158210 0.06493533 -0.045488095
#> 481 25 26 1.933662 1.972404 1.953028 0.0464193825 0.06473290 -0.049190464
#> 482 25 26 1.972404 2.008396 1.991781 0.0429369578 0.06389700 -0.053797832
#> 483 25 26 2.008396 2.041395 2.025010 0.0396700958 0.06290967 -0.053158300
#> 484 25 26 2.041395 2.076143 2.057780 0.0365564510 0.06186927 -0.054923833
#> 485 25 26 2.076143 2.117286 2.094506 0.0335530231 0.06077958 -0.059424075
#> 486 25 26 2.117286 2.163326 2.140066 0.0309527025 0.05969390 -0.060862365
#> 487 25 26 2.163326 2.205605 2.186586 0.0298153396 0.05896792 -0.060429673
#> 488 25 26 2.205605 2.246900 2.224624 0.0299834918 0.05866040 -0.059660400
#> 489 25 26 2.246900 2.293677 2.269176 0.0311967273 0.05858699 -0.054823483
#> 490 25 26 2.293677 2.343877 2.318177 0.0333633782 0.05878386 -0.052007955
#> 491 25 26 2.343877 2.403865 2.369576 0.0360194341 0.05918279 -0.050550524
#> 492 25 26 2.403865 2.496138 2.438154 0.0393562766 0.05980067 -0.048935733
#> 493 25 26 2.496138 2.627070 2.554122 0.0430515165 0.06060793 -0.046996618
#> 494 25 26 2.627070 3.622562 2.700018 0.0445790988 0.06143116 -0.038122563
#> 495 26 27 1.062245 1.699981 1.648694 0.0255561484 0.03420927 -0.018555566
#> 496 26 27 1.699981 1.775368 1.751268 0.0387438994 0.04961115 -0.031900365
#> 497 26 27 1.775368 1.835269 1.799468 0.0427831533 0.05488913 -0.033529229
#> 498 26 27 1.835269 1.892682 1.871069 0.0443662860 0.05940813 -0.043357131
#> 499 26 27 1.892682 1.933662 1.914296 0.0426466129 0.06026221 -0.048644757
#> 500 26 27 1.933662 1.972404 1.953028 0.0397186443 0.06007242 -0.050576837
#> 501 26 27 1.972404 2.008396 1.991781 0.0359504651 0.05926650 -0.054211972
#> 502 26 27 2.008396 2.041395 2.025010 0.0324671206 0.05831360 -0.058470667
#> 503 26 27 2.041395 2.076143 2.057780 0.0291593152 0.05731587 -0.058694196
#> 504 26 27 2.076143 2.117286 2.094506 0.0259549265 0.05628947 -0.060337222
#> 505 26 27 2.117286 2.163326 2.140066 0.0231227118 0.05531573 -0.061341228
#> 506 26 27 2.163326 2.205605 2.186586 0.0217638309 0.05475112 -0.062681524
#> 507 26 27 2.205605 2.246900 2.224624 0.0217616189 0.05460954 -0.060438055
#> 508 26 27 2.246900 2.293677 2.269176 0.0227888204 0.05475733 -0.059956353
#> 509 26 27 2.293677 2.343877 2.318177 0.0247696612 0.05520636 -0.058836926
#> 510 26 27 2.343877 2.403865 2.369576 0.0272526648 0.05584680 -0.057034998
#> 511 26 27 2.403865 2.496138 2.438154 0.0303885465 0.05670292 -0.056453199
#> 512 26 27 2.496138 2.627070 2.554122 0.0337860606 0.05765107 -0.054982212
#> 513 26 27 2.627070 3.622562 2.700018 0.0349695155 0.05844548 -0.060513519
#> 514 27 28 1.062245 1.699981 1.648694 0.0246917139 0.03398318 -0.018555566
#> 515 27 28 1.699981 1.775368 1.751268 0.0368721531 0.04907359 -0.032293924
#> 516 27 28 1.775368 1.835269 1.799468 0.0403329161 0.05416623 -0.039274388
#> 517 27 28 1.835269 1.892682 1.871069 0.0410434596 0.05842529 -0.046519967
#> 518 27 28 1.892682 1.933662 1.914296 0.0388388921 0.05916593 -0.051945913
#> 519 27 28 1.933662 1.972404 1.953028 0.0355255111 0.05891922 -0.054037964
#> 520 27 28 1.972404 2.008396 1.991781 0.0314266346 0.05810292 -0.056014302
#> 521 27 28 2.008396 2.041395 2.025010 0.0277049164 0.05717388 -0.059314472
#> 522 27 28 2.041395 2.076143 2.057780 0.0242009905 0.05621927 -0.063459924
#> 523 27 28 2.076143 2.117286 2.094506 0.0208180305 0.05524753 -0.067721154
#> 524 27 28 2.117286 2.163326 2.140066 0.0178146445 0.05432195 -0.071362052
#> 525 27 28 2.163326 2.205605 2.186586 0.0163244824 0.05375839 -0.073488839
#> 526 27 28 2.205605 2.246900 2.224624 0.0162375665 0.05357747 -0.074164234
#> 527 27 28 2.246900 2.293677 2.269176 0.0171819492 0.05364641 -0.074963897
#> 528 27 28 2.293677 2.343877 2.318177 0.0190832702 0.05399631 -0.075723741
#> 529 27 28 2.343877 2.403865 2.369576 0.0214892329 0.05455020 -0.070186194
#> 530 27 28 2.403865 2.496138 2.438154 0.0245283467 0.05534123 -0.066226269
#> 531 27 28 2.496138 2.627070 2.554122 0.0277867677 0.05624063 -0.060194183
#> 532 27 28 2.627070 3.622562 2.700018 0.0288681565 0.05689109 -0.064094339
#> 533 28 29 1.062245 1.699981 1.648694 0.0227570185 0.03337755 -0.021020160
#> 534 28 29 1.699981 1.775368 1.751268 0.0333576858 0.04800753 -0.033275224
#> 535 28 29 1.775368 1.835269 1.799468 0.0360109329 0.05291395 -0.039720741
#> 536 28 29 1.835269 1.892682 1.871069 0.0355735934 0.05698386 -0.046523208
#> 537 28 29 1.892682 1.933662 1.914296 0.0327480836 0.05765772 -0.052279954
#> 538 28 29 1.933662 1.972404 1.953028 0.0289395962 0.05736784 -0.059791760
#> 539 28 29 1.972404 2.008396 1.991781 0.0244076562 0.05651027 -0.061010066
#> 540 28 29 2.008396 2.041395 2.025010 0.0203642916 0.05553850 -0.065057454
#> 541 28 29 2.041395 2.076143 2.057780 0.0165864673 0.05452997 -0.072870878
#> 542 28 29 2.076143 2.117286 2.094506 0.0129445496 0.05348127 -0.074603818
#> 543 28 29 2.117286 2.163326 2.140066 0.0096842972 0.05243678 -0.076590121
#> 544 28 29 2.163326 2.205605 2.186586 0.0079968685 0.05173236 -0.078980415
#> 545 28 29 2.205605 2.246900 2.224624 0.0077907458 0.05143246 -0.079546583
#> 546 28 29 2.246900 2.293677 2.269176 0.0086358953 0.05137584 -0.079068659
#> 547 28 29 2.293677 2.343877 2.318177 0.0104685466 0.05163133 -0.077772912
#> 548 28 29 2.343877 2.403865 2.369576 0.0128362021 0.05216238 -0.075446722
#> 549 28 29 2.403865 2.496138 2.438154 0.0158581611 0.05306399 -0.070821912
#> 550 28 29 2.496138 2.627070 2.554122 0.0191230579 0.05445381 -0.076022660
#> 551 28 29 2.627070 3.622562 2.700018 0.0202153311 0.05593792 -0.077879666
#> 552 29 30 1.062245 1.699981 1.648694 0.0225333693 0.03336425 -0.024400736
#> 553 29 30 1.699981 1.775368 1.751268 0.0329046195 0.04800581 -0.037558555
#> 554 29 30 1.775368 1.835269 1.799468 0.0354235701 0.05289982 -0.043377973
#> 555 29 30 1.835269 1.892682 1.871069 0.0347683716 0.05687916 -0.048549186
#> 556 29 30 1.892682 1.933662 1.914296 0.0318062413 0.05743577 -0.055061068
#> 557 29 30 1.933662 1.972404 1.953028 0.0278746943 0.05699806 -0.060496003
#> 558 29 30 1.972404 2.008396 1.991781 0.0232204473 0.05596090 -0.061775559
#> 559 29 30 2.008396 2.041395 2.025010 0.0190737342 0.05482173 -0.065217255
#> 560 29 30 2.041395 2.076143 2.057780 0.0151960845 0.05364746 -0.072870878
#> 561 29 30 2.076143 2.117286 2.094506 0.0114455674 0.05242245 -0.074603818
#> 562 29 30 2.117286 2.163326 2.140066 0.0080565910 0.05117869 -0.076590121
#> 563 29 30 2.163326 2.205605 2.186586 0.0062454878 0.05028476 -0.078980415
#> 564 29 30 2.205605 2.246900 2.224624 0.0059439740 0.04982871 -0.079546583
#> 565 29 30 2.246900 2.293677 2.269176 0.0066827525 0.04957937 -0.079068659
#> 566 29 30 2.293677 2.343877 2.318177 0.0084024342 0.04961502 -0.077772912
#> 567 29 30 2.343877 2.403865 2.369576 0.0106522356 0.04992793 -0.075446722
#> 568 29 30 2.403865 2.496138 2.438154 0.0135113566 0.05060211 -0.070192703
#> 569 29 30 2.496138 2.627070 2.554122 0.0164700949 0.05184057 -0.070462259
#> 570 29 30 2.627070 3.622562 2.700018 0.0171266054 0.05365793 -0.077879666
#> 571 30 31 1.062245 1.699981 1.648694 0.0214262136 0.03411349 -0.029317074
#> 572 30 31 1.699981 1.775368 1.751268 0.0310865110 0.04915763 -0.045598338
#> 573 30 31 1.775368 1.835269 1.799468 0.0332953339 0.05427764 -0.053240041
#> 574 30 31 1.835269 1.892682 1.871069 0.0322848938 0.05867470 -0.066461426
#> 575 30 31 1.892682 1.933662 1.914296 0.0291911090 0.05953242 -0.066746657
#> 576 30 31 1.933662 1.972404 1.953028 0.0251984189 0.05938322 -0.069662191
#> 577 30 31 1.972404 2.008396 1.991781 0.0205319902 0.05863566 -0.074729252
#> 578 30 31 2.008396 2.041395 2.025010 0.0164062464 0.05773294 -0.081213911
#> 579 30 31 2.041395 2.076143 2.057780 0.0125686998 0.05677310 -0.086151745
#> 580 30 31 2.076143 2.117286 2.094506 0.0088742272 0.05576225 -0.089823676
#> 581 30 31 2.117286 2.163326 2.140066 0.0055520111 0.05474687 -0.090878538
#> 582 30 31 2.163326 2.205605 2.186586 0.0037858511 0.05404797 -0.089267389
#> 583 30 31 2.205605 2.246900 2.224624 0.0034939666 0.05372246 -0.087081689
#> 584 30 31 2.246900 2.293677 2.269176 0.0042096349 0.05358636 -0.084383560
#> 585 30 31 2.293677 2.343877 2.318177 0.0058656861 0.05368760 -0.079821166
#> 586 30 31 2.343877 2.403865 2.369576 0.0080191755 0.05400142 -0.076478801
#> 587 30 31 2.403865 2.496138 2.438154 0.0107335598 0.05459705 -0.076138804
#> 588 30 31 2.496138 2.627070 2.554122 0.0134921744 0.05564560 -0.078367773
#> 589 30 31 2.627070 3.622562 2.700018 0.0140359571 0.05725123 -0.083699943
#> 590 31 32 1.062245 1.699981 1.648694 0.0213306875 0.03408341 -0.029317074
#> 591 31 32 1.699981 1.775368 1.751268 0.0309584026 0.04913547 -0.045598375
#> 592 31 32 1.775368 1.835269 1.799468 0.0331642787 0.05427679 -0.053240041
#> 593 31 32 1.835269 1.892682 1.871069 0.0321662716 0.05873462 -0.067948270
#> 594 31 32 1.892682 1.933662 1.914296 0.0290844643 0.05964433 -0.069606464
#> 595 31 32 1.933662 1.972404 1.953028 0.0250983113 0.05954730 -0.070187666
#> 596 31 32 1.972404 2.008396 1.991781 0.0204267412 0.05885274 -0.075034535
#> 597 31 32 2.008396 2.041395 2.025010 0.0162809435 0.05799322 -0.081618741
#> 598 31 32 2.041395 2.076143 2.057780 0.0124043032 0.05707251 -0.086669958
#> 599 31 32 2.076143 2.117286 2.094506 0.0086385457 0.05610097 -0.090483275
#> 600 31 32 2.117286 2.163326 2.140066 0.0051837135 0.05512770 -0.090900257
#> 601 31 32 2.163326 2.205605 2.186586 0.0032334446 0.05446376 -0.089294012
#> 602 31 32 2.205605 2.246900 2.224624 0.0027609992 0.05416107 -0.087112052
#> 603 31 32 2.246900 2.293677 2.269176 0.0032429802 0.05404975 -0.084417749
#> 604 31 32 2.293677 2.343877 2.318177 0.0046326436 0.05418946 -0.081363252
#> 605 31 32 2.343877 2.403865 2.369576 0.0065179821 0.05457627 -0.078402632
#> 606 31 32 2.403865 2.496138 2.438154 0.0089229962 0.05533558 -0.082975272
#> 607 31 32 2.496138 2.627070 2.554122 0.0113237153 0.05672575 -0.082367473
#> 608 31 32 2.627070 3.622562 2.700018 0.0116280790 0.05854559 -0.089860181
#> 609 32 33 1.062245 1.699981 1.648694 0.0211115373 0.03383858 -0.029317074
#> 610 32 33 1.699981 1.775368 1.751268 0.0307745595 0.04872692 -0.039089951
#> 611 32 33 1.775368 1.835269 1.799468 0.0330379362 0.05371030 -0.046004246
#> 612 32 33 1.835269 1.892682 1.871069 0.0321489151 0.05777546 -0.055229639
#> 613 32 33 1.892682 1.933662 1.914296 0.0291287889 0.05835990 -0.060432423
#> 614 32 33 1.933662 1.972404 1.953028 0.0251846028 0.05794045 -0.070011358
#> 615 32 33 1.972404 2.008396 1.991781 0.0205362758 0.05692867 -0.075034535
#> 616 32 33 2.008396 2.041395 2.025010 0.0163925738 0.05583102 -0.081618741
#> 617 32 33 2.041395 2.076143 2.057780 0.0125007535 0.05472908 -0.086669958
#> 618 32 33 2.076143 2.117286 2.094506 0.0086977482 0.05363448 -0.090483275
#> 619 32 33 2.117286 2.163326 2.140066 0.0051690942 0.05263003 -0.092669170
#> 620 32 33 2.163326 2.205605 2.186586 0.0031162854 0.05204833 -0.092291602
#> 621 32 33 2.205605 2.246900 2.224624 0.0025434482 0.05186818 -0.090330550
#> 622 32 33 2.246900 2.293677 2.269176 0.0028930062 0.05193088 -0.086724340
#> 623 32 33 2.293677 2.343877 2.318177 0.0041226534 0.05227109 -0.083522709
#> 624 32 33 2.343877 2.403865 2.369576 0.0058276394 0.05285750 -0.084109929
#> 625 32 33 2.403865 2.496138 2.438154 0.0079779876 0.05384872 -0.083367425
#> 626 32 33 2.496138 2.627070 2.554122 0.0099470678 0.05556825 -0.086835999
#> 627 32 33 2.627070 3.622562 2.700018 0.0098422186 0.05780845 -0.091398657
#> 628 33 34 1.062245 1.699981 1.648694 0.0204292143 0.03378446 -0.029317074
#> 629 33 34 1.699981 1.775368 1.751268 0.0297270609 0.04893275 -0.040573283
#> 630 33 34 1.775368 1.835269 1.799468 0.0318057050 0.05408193 -0.050857702
#> 631 33 34 1.835269 1.892682 1.871069 0.0305924434 0.05832625 -0.067948270
#> 632 33 34 1.892682 1.933662 1.914296 0.0273258965 0.05892331 -0.069606464
#> 633 33 34 1.933662 1.972404 1.953028 0.0231177344 0.05843842 -0.074695190
#> 634 33 34 1.972404 2.008396 1.991781 0.0181614568 0.05730147 -0.085698863
#> 635 33 34 2.008396 2.041395 2.025010 0.0137205465 0.05607379 -0.088249335
#> 636 33 34 2.041395 2.076143 2.057780 0.0095102321 0.05485171 -0.089987978
#> 637 33 34 2.076143 2.117286 2.094506 0.0053282268 0.05366294 -0.091070208
#> 638 33 34 2.117286 2.163326 2.140066 0.0013122290 0.05262851 -0.095681453
#> 639 33 34 2.163326 2.205605 2.186586 -0.0012390134 0.05210665 -0.100991709
#> 640 33 34 2.205605 2.246900 2.224624 -0.0022085275 0.05201251 -0.102856061
#> 641 33 34 2.246900 2.293677 2.269176 -0.0023026460 0.05218051 -0.104283556
#> 642 33 34 2.293677 2.343877 2.318177 -0.0015292383 0.05261681 -0.102065739
#> 643 33 34 2.343877 2.403865 2.369576 -0.0002638228 0.05328361 -0.104048873
#> 644 33 34 2.403865 2.496138 2.438154 0.0013663246 0.05438429 -0.101582774
#> 645 33 34 2.496138 2.627070 2.554122 0.0026419831 0.05634377 -0.094410354
#> 646 33 34 2.627070 3.622562 2.700018 0.0019805962 0.05882475 -0.097810561
#> 647 34 35 1.062245 1.699981 1.648694 0.0193676466 0.03293317 -0.029766517
#> 648 34 35 1.699981 1.775368 1.751268 0.0278764514 0.04831890 -0.046028646
#> 649 34 35 1.775368 1.835269 1.799468 0.0295478254 0.05379062 -0.060329559
#> 650 34 35 1.835269 1.892682 1.871069 0.0277329042 0.05870662 -0.075163560
#> 651 34 35 1.892682 1.933662 1.914296 0.0241206238 0.05977829 -0.077476325
#> 652 34 35 1.933662 1.972404 1.953028 0.0196196174 0.05973621 -0.082091291
#> 653 34 35 1.972404 2.008396 1.991781 0.0143876757 0.05903616 -0.092404314
#> 654 34 35 2.008396 2.041395 2.025010 0.0097234801 0.05815740 -0.103037320
#> 655 34 35 2.041395 2.076143 2.057780 0.0053030976 0.05723521 -0.105992584
#> 656 34 35 2.076143 2.117286 2.094506 0.0008948414 0.05630700 -0.103630057
#> 657 34 35 2.117286 2.163326 2.140066 -0.0033931492 0.05546052 -0.102694107
#> 658 34 35 2.163326 2.205605 2.186586 -0.0062170026 0.05497825 -0.104829477
#> 659 34 35 2.205605 2.246900 2.224624 -0.0074070995 0.05482859 -0.105262681
#> 660 34 35 2.246900 2.293677 2.269176 -0.0077555973 0.05487530 -0.107288207
#> 661 34 35 2.293677 2.343877 2.318177 -0.0072521819 0.05515841 -0.107963084
#> 662 34 35 2.343877 2.403865 2.369576 -0.0062518896 0.05567939 -0.108739843
#> 663 34 35 2.403865 2.496138 2.438154 -0.0049393813 0.05662591 -0.113934248
#> 664 34 35 2.496138 2.627070 2.554122 -0.0041328315 0.05843026 -0.118972563
#> 665 34 35 2.627070 3.622562 2.700018 -0.0053747184 0.06124743 -0.117773128
#> 666 35 36 1.062245 1.699981 1.648694 0.0163232169 0.03153170 -0.035064936
#> 667 35 36 1.699981 1.775368 1.751268 0.0225224307 0.04690411 -0.055552768
#> 668 35 36 1.775368 1.835269 1.799468 0.0230201835 0.05283044 -0.069099706
#> 669 35 36 1.835269 1.892682 1.871069 0.0195343555 0.05909259 -0.088030534
#> 670 35 36 1.892682 1.933662 1.914296 0.0150204532 0.06131013 -0.107391001
#> 671 35 36 1.933662 1.972404 1.953028 0.0098078386 0.06242105 -0.112729422
#> 672 35 36 1.972404 2.008396 1.991781 0.0039655805 0.06290148 -0.124257123
#> 673 35 36 2.008396 2.041395 2.025010 -0.0011391181 0.06298357 -0.132569547
#> 674 35 36 2.041395 2.076143 2.057780 -0.0059215852 0.06290666 -0.139054439
#> 675 35 36 2.076143 2.117286 2.094506 -0.0106569469 0.06276000 -0.144139550
#> 676 35 36 2.117286 2.163326 2.140066 -0.0152499773 0.06261213 -0.147301647
#> 677 35 36 2.163326 2.205605 2.186586 -0.0182910682 0.06256016 -0.147414913
#> 678 35 36 2.205605 2.246900 2.224624 -0.0196029458 0.06260023 -0.148904607
#> 679 35 36 2.246900 2.293677 2.269176 -0.0200440472 0.06275021 -0.148768383
#> 680 35 36 2.293677 2.343877 2.318177 -0.0195929628 0.06307181 -0.147578769
#> 681 35 36 2.343877 2.403865 2.369576 -0.0186028821 0.06361514 -0.148850321
#> 682 35 36 2.403865 2.496138 2.438154 -0.0172488941 0.06463379 -0.148232320
#> 683 35 36 2.496138 2.627070 2.554122 -0.0162966468 0.06669532 -0.146866763
#> 684 35 36 2.627070 3.622562 2.700018 -0.0174027417 0.06976542 -0.149776102
#> 685 36 37 1.062245 1.699981 1.648694 0.0151693670 0.03181823 -0.037732727
#> 686 36 37 1.699981 1.775368 1.751268 0.0202821850 0.04783977 -0.060595830
#> 687 36 37 1.775368 1.835269 1.799468 0.0202125271 0.05430597 -0.071380358
#> 688 36 37 1.835269 1.892682 1.871069 0.0159306396 0.06168441 -0.096329819
#> 689 36 37 1.892682 1.933662 1.914296 0.0110003691 0.06472127 -0.109819015
#> 690 36 37 1.933662 1.972404 1.953028 0.0054654554 0.06660695 -0.126775847
#> 691 36 37 1.972404 2.008396 1.991781 -0.0006539162 0.06784486 -0.141253293
#> 692 36 37 2.008396 2.041395 2.025010 -0.0059667592 0.06851893 -0.152496757
#> 693 36 37 2.041395 2.076143 2.057780 -0.0109358890 0.06894248 -0.161395177
#> 694 36 37 2.076143 2.117286 2.094506 -0.0158687787 0.06923742 -0.175712270
#> 695 36 37 2.117286 2.163326 2.140066 -0.0207055491 0.06946176 -0.191938621
#> 696 36 37 2.163326 2.205605 2.186586 -0.0240102224 0.06962998 -0.202923902
#> 697 36 37 2.205605 2.246900 2.224624 -0.0255569756 0.06977820 -0.207954902
#> 698 36 37 2.246900 2.293677 2.269176 -0.0263004922 0.07002826 -0.207182072
#> 699 36 37 2.293677 2.343877 2.318177 -0.0262186537 0.07048958 -0.206537452
#> 700 36 37 2.343877 2.403865 2.369576 -0.0256567592 0.07129727 -0.206485583
#> 701 36 37 2.403865 2.496138 2.438154 -0.0249292195 0.07307899 -0.207846751
#> 702 36 37 2.496138 2.627070 2.554122 -0.0250685553 0.07828926 -0.215781521
#> 703 36 37 2.627070 3.622562 2.700018 -0.0271567578 0.08698047 -0.222697277
#> CIMax Effect
#> 1 0.15688396
#> 2 0.22084800
#> 3 0.24413223
#> 4 0.27407602
#> 5 0.28038315
#> 6 0.27898613
#> 7 0.27253750
#> 8 0.26822150
#> 9 0.27387024
#> 10 0.27380000
#> 11 0.27075299
#> 12 0.26964510
#> 13 0.26930381
#> 14 0.26396463
#> 15 0.26212612
#> 16 0.25965806
#> 17 0.25559568
#> 18 0.25611077
#> 19 0.24827138
#> 20 0.15762500
#> 21 0.22296662
#> 22 0.24413223
#> 23 0.27212454
#> 24 0.28372093
#> 25 0.28193846
#> 26 0.28235490
#> 27 0.29494690
#> 28 0.30013852
#> 29 0.29682182
#> 30 0.29224779
#> 31 0.28764915
#> 32 0.28445258
#> 33 0.28151354
#> 34 0.27926344
#> 35 0.27781356
#> 36 0.27665376
#> 37 0.27592172
#> 38 0.26097489
#> 39 0.15762500
#> 40 0.22470337
#> 41 0.24938440
#> 42 0.26930222
#> 43 0.27369160
#> 44 0.27898613
#> 45 0.27253750
#> 46 0.26822150
#> 47 0.26624603
#> 48 0.26401987
#> 49 0.26181960
#> 50 0.26059127
#> 51 0.26039996
#> 52 0.26092389
#> 53 0.26029620
#> 54 0.25953704
#> 55 0.25899288
#> 56 0.25766180
#> 57 0.25510712
#> 58 0.15762500
#> 59 0.22470337
#> 60 0.24938440
#> 61 0.26930222
#> 62 0.27369160
#> 63 0.27905902
#> 64 0.29293444
#> 65 0.30232333
#> 66 0.30021559
#> 67 0.29682186
#> 68 0.29226233
#> 69 0.28789489
#> 70 0.28724369
#> 71 0.28831291
#> 72 0.29153679
#> 73 0.29697357
#> 74 0.30589061
#> 75 0.28358886
#> 76 0.27721802
#> 77 0.15762500
#> 78 0.22470337
#> 79 0.24938440
#> 80 0.26930222
#> 81 0.27369160
#> 82 0.27898613
#> 83 0.29293444
#> 84 0.29437780
#> 85 0.29252107
#> 86 0.28893885
#> 87 0.28655697
#> 88 0.28650240
#> 89 0.28640235
#> 90 0.28760928
#> 91 0.29105631
#> 92 0.29678747
#> 93 0.30589061
#> 94 0.32091501
#> 95 0.32917201
#> 96 0.15762500
#> 97 0.22470337
#> 98 0.24938440
#> 99 0.26954136
#> 100 0.27369160
#> 101 0.27898613
#> 102 0.28076254
#> 103 0.27902705
#> 104 0.27678651
#> 105 0.27405005
#> 106 0.27079800
#> 107 0.26792096
#> 108 0.26332571
#> 109 0.26097363
#> 110 0.26062664
#> 111 0.26286875
#> 112 0.26575741
#> 113 0.27046986
#> 114 0.26841774
#> 115 0.15687891
#> 116 0.22311842
#> 117 0.24454072
#> 118 0.26800949
#> 119 0.27369160
#> 120 0.28172844
#> 121 0.28546415
#> 122 0.29007683
#> 123 0.29111130
#> 124 0.28767271
#> 125 0.27995538
#> 126 0.27198756
#> 127 0.26592105
#> 128 0.26256288
#> 129 0.26213002
#> 130 0.26325817
#> 131 0.26625130
#> 132 0.27166324
#> 133 0.26923562
#> 134 0.15965628
#> 135 0.23402844
#> 136 0.25906053
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#> 138 0.29985088
#> 139 0.31129304
#> 140 0.31773878
#> 141 0.31556694
#> 142 0.31390003
#> 143 0.31890843
#> 144 0.32128910
#> 145 0.32254045
#> 146 0.32330674
#> 147 0.32339897
#> 148 0.32279456
#> 149 0.32165870
#> 150 0.32119545
#> 151 0.31698303
#> 152 0.31519359
#> 153 0.15965628
#> 154 0.23402844
#> 155 0.25906053
#> 156 0.29073930
#> 157 0.29985088
#> 158 0.31129304
#> 159 0.31773878
#> 160 0.31556694
#> 161 0.31365261
#> 162 0.31863841
#> 163 0.32128160
#> 164 0.32253252
#> 165 0.32329857
#> 166 0.32339063
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#> 168 0.32165018
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#> 170 0.31698303
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#> 172 0.15104761
#> 173 0.21605921
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#> 179 0.25165931
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#> 183 0.24195310
#> 184 0.24209292
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#> 187 0.24640211
#> 188 0.25833328
#> 189 0.25628588
#> 190 0.26253917
#> 191 0.12395440
#> 192 0.09855350
#> 193 0.04008190
#> 194 -0.07311439 -
#> 195 -0.15576789 -
#> 196 -0.26075806 -
#> 197 -0.35288485 -
#> 198 -0.41799571 -
#> 199 -0.48085763 -
#> 200 -0.54066743 -
#> 201 -0.59938851 -
#> 202 -0.64471292 -
#> 203 -0.67137359 -
#> 204 -0.69259012 -
#> 205 -0.70650042 -
#> 206 -0.71410040 -
#> 207 -0.71821840 -
#> 208 -0.71958361 -
#> 209 -0.71955617 -
#> 210 0.12395440
#> 211 0.09855350
#> 212 0.04008190
#> 213 -0.10617499 -
#> 214 -0.21528842 -
#> 215 -0.32667978 -
#> 216 -0.45149007 -
#> 217 -0.55395883 -
#> 218 -0.64503384 -
#> 219 -0.73402532 -
#> 220 -0.82551174 -
#> 221 -0.89271866 -
#> 222 -0.92732543 -
#> 223 -0.95786142 -
#> 224 -0.98200402 -
#> 225 -0.98839968 -
#> 226 -0.98995004 -
#> 227 -0.98729384 -
#> 228 -0.98520756 -
#> 229 0.12395440
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#> 231 0.04007290
#> 232 -0.10617499 -
#> 233 -0.21528842 -
#> 234 -0.32667978 -
#> 235 -0.45149007 -
#> 236 -0.55395883 -
#> 237 -0.64503384 -
#> 238 -0.73364815 -
#> 239 -0.82395024 -
#> 240 -0.88954189 -
#> 241 -0.92679096 -
#> 242 -0.95645397 -
#> 243 -0.97687658 -
#> 244 -0.98701958 -
#> 245 -0.98995004 -
#> 246 -0.98729384 -
#> 247 -0.98520756 -
#> 248 0.12395440
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#> 250 0.04007290
#> 251 -0.10644808 -
#> 252 -0.21554086 -
#> 253 -0.33108627 -
#> 254 -0.45149007 -
#> 255 -0.55395883 -
#> 256 -0.64874287 -
#> 257 -0.73364815 -
#> 258 -0.83142035 -
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#> 260 -0.94082414 -
#> 261 -0.96692110 -
#> 262 -0.98236537 -
#> 263 -0.98902551 -
#> 264 -0.99258048 -
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#> 271 -0.21606625 -
#> 272 -0.33110990 -
#> 273 -0.45134400 -
#> 274 -0.54186910 -
#> 275 -0.63227656 -
#> 276 -0.72964133 -
#> 277 -0.81904261 -
#> 278 -0.88460782 -
#> 279 -0.92441843 -
#> 280 -0.95157060 -
#> 281 -0.96558955 -
#> 282 -0.97239075 -
#> 283 -0.97508972 -
#> 284 -0.97362169 -
#> 285 -0.98056678 -
#> 286 0.14071203
#> 287 0.19535605
#> 288 0.21093793
#> 289 0.22013650
#> 290 0.21560625
#> 291 0.21583230
#> 292 0.21590840
#> 293 0.21186008
#> 294 0.20649548
#> 295 0.20092716
#> 296 0.19535451
#> 297 0.19479911
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#> 299 0.19495295
#> 300 0.19333114
#> 301 0.19131889
#> 302 0.19794659
#> 303 0.20104272
#> 304 0.20179028
#> 305 0.13840975
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#> 307 0.20988671
#> 308 0.21825412
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#> 310 0.21583230
#> 311 0.21590840
#> 312 0.21186008
#> 313 0.20649548
#> 314 0.20092716
#> 315 0.19535451
#> 316 0.19159098
#> 317 0.18996186
#> 318 0.18942768
#> 319 0.18997657
#> 320 0.19131889
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#> 323 0.20179028
#> 324 0.14024300
#> 325 0.19535605
#> 326 0.21093793
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#> 330 0.21262181
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#> 333 0.19092129
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#> 335 0.18348631
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#> 337 0.18035739
#> 338 0.18535479
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#> 341 0.19825908
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#> 343 0.13884051
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#> 345 0.21139817
#> 346 0.22427402
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#> 349 0.21712698
#> 350 0.21166541
#> 351 0.20474603
#> 352 0.19674477
#> 353 0.18842791
#> 354 0.18366286
#> 355 0.18338404
#> 356 0.18736768
#> 357 0.18989797
#> 358 0.19157128
#> 359 0.19357725
#> 360 0.20163630
#> 361 0.20876725
#> 362 0.13884051
#> 363 0.19541204
#> 364 0.21139817
#> 365 0.22427402
#> 366 0.22519321
#> 367 0.22150144
#> 368 0.21712698
#> 369 0.21166541
#> 370 0.20474603
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#> 372 0.18842791
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#> 376 0.18989797
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#> 382 0.19541933
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#> 384 0.22605696
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#> 386 0.22150144
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#> 389 0.20474603
#> 390 0.19674477
#> 391 0.18842791
#> 392 0.18366286
#> 393 0.18338404
#> 394 0.18736768
#> 395 0.18989797
#> 396 0.19157128
#> 397 0.19357725
#> 398 0.20875701
#> 399 0.21212531
#> 400 0.13888035
#> 401 0.19541933
#> 402 0.21269660
#> 403 0.22605696
#> 404 0.22521818
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#> 407 0.20854833
#> 408 0.20020801
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#> 411 0.18156297
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#> 413 0.18024118
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#> 415 0.18130636
#> 416 0.18895689
#> 417 0.20875701
#> 418 0.21212531
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#> 420 0.19541933
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#> 422 0.22605696
#> 423 0.22521818
#> 424 0.22150144
#> 425 0.21525210
#> 426 0.20854833
#> 427 0.20020801
#> 428 0.19092129
#> 429 0.18496046
#> 430 0.18156297
#> 431 0.18040377
#> 432 0.18024118
#> 433 0.18074399
#> 434 0.18130636
#> 435 0.18895689
#> 436 0.20875701
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#> 439 0.19979339
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#> 441 0.22608722
#> 442 0.22521818
#> 443 0.22150144
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#> 464 0.20852271
#> 465 0.20163048
#> 466 0.19853429
#> 467 0.19354537
#> 468 0.19088405
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#> 470 0.19030047
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#> 473 0.19179885
#> 474 0.20969006
#> 475 0.21521877
#> 476 0.14025570
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#> 491 0.17135720
#> 492 0.17865093
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#> 494 0.18592726
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#> 496 0.15254023
#> 497 0.16817121
#> 498 0.18056001
#> 499 0.18148256
#> 500 0.17708619
#> 501 0.16483284
#> 502 0.16129192
#> 503 0.15660383
#> 504 0.15360334
#> 505 0.15106379
#> 506 0.14758501
#> 507 0.14417596
#> 508 0.14274481
#> 509 0.15247763
#> 510 0.15654976
#> 511 0.16449703
#> 512 0.16951786
#> 513 0.17136909
#> 514 0.09503767
#> 515 0.15254023
#> 516 0.16708546
#> 517 0.17635636
#> 518 0.17488545
#> 519 0.16981673
#> 520 0.16382293
#> 521 0.15497888
#> 522 0.15473509
#> 523 0.14796121
#> 524 0.13849370
#> 525 0.13243385
#> 526 0.13302594
#> 527 0.13931395
#> 528 0.13418004
#> 529 0.14043688
#> 530 0.14939400
#> 531 0.15537630
#> 532 0.15731358
#> 533 0.09503424
#> 534 0.14315068
#> 535 0.15394512
#> 536 0.16451548
#> 537 0.16710921
#> 538 0.16404164
#> 539 0.15665788
#> 540 0.14769773
#> 541 0.13741795
#> 542 0.12863086
#> 543 0.12211992
#> 544 0.12184023
#> 545 0.12313417
#> 546 0.12589354
#> 547 0.13053849
#> 548 0.13419599
#> 549 0.13962042
#> 550 0.14674011
#> 551 0.15348567
#> 552 0.09503424
#> 553 0.14315068
#> 554 0.14845670
#> 555 0.16748922
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#> 564 0.11207969
#> 565 0.11517344
#> 566 0.12174520
#> 567 0.12666278
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#> 569 0.13040986
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#> 571 0.09503424
#> 572 0.14315068
#> 573 0.14845670
#> 574 0.16748922
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#> 578 0.15134260
#> 579 0.13890718
#> 580 0.12614441
#> 581 0.12143813
#> 582 0.12090485
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#> 584 0.12792286
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#> 588 0.13568017
#> 589 0.14095657
#> 590 0.09503424
#> 591 0.14315068
#> 592 0.14845670
#> 593 0.16748922
#> 594 0.17159282
#> 595 0.16964549
#> 596 0.16217186
#> 597 0.15134260
#> 598 0.13890718
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#> 603 0.12851327
#> 604 0.13141457
#> 605 0.13383914
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#> 610 0.14315068
#> 611 0.14845670
#> 612 0.16748922
#> 613 0.17159282
#> 614 0.16964549
#> 615 0.16217186
#> 616 0.15134260
#> 617 0.13890718
#> 618 0.12614441
#> 619 0.11768536
#> 620 0.11799005
#> 621 0.12175408
#> 622 0.12792286
#> 623 0.13053265
#> 624 0.13323727
#> 625 0.13464373
#> 626 0.13261534
#> 627 0.12966988
#> 628 0.09502131
#> 629 0.14307642
#> 630 0.14830756
#> 631 0.16161702
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#> 633 0.13727759
#> 634 0.12939839
#> 635 0.12605604
#> 636 0.12379735
#> 637 0.12037904
#> 638 0.11333191
#> 639 0.11023418
#> 640 0.10788849
#> 641 0.10751393
#> 642 0.10614833
#> 643 0.10771712
#> 644 0.11267645
#> 645 0.12224082
#> 646 0.11478784
#> 647 0.09273074
#> 648 0.12609340
#> 649 0.14695658
#> 650 0.14637494
#> 651 0.14013724
#> 652 0.13160970
#> 653 0.12251997
#> 654 0.11797836
#> 655 0.11526267
#> 656 0.11237422
#> 657 0.10927004
#> 658 0.10673236
#> 659 0.10523320
#> 660 0.10459606
#> 661 0.10588301
#> 662 0.10555437
#> 663 0.10571646
#> 664 0.10397493
#> 665 0.11075586
#> 666 0.09223323
#> 667 0.12517348
#> 668 0.13503910
#> 669 0.13991521
#> 670 0.13478389
#> 671 0.12939079
#> 672 0.12038190
#> 673 0.11704380
#> 674 0.11132914
#> 675 0.10627361
#> 676 0.10651111
#> 677 0.10673236
#> 678 0.10523320
#> 679 0.10385550
#> 680 0.10366766
#> 681 0.10199032
#> 682 0.09850734
#> 683 0.09950853
#> 684 0.10822640
#> 685 0.09223589
#> 686 0.12517184
#> 687 0.13499801
#> 688 0.13997287
#> 689 0.13481762
#> 690 0.13089268
#> 691 0.12148866
#> 692 0.11921295
#> 693 0.11697250
#> 694 0.11474551
#> 695 0.11265294
#> 696 0.10910979
#> 697 0.10954965
#> 698 0.10926206
#> 699 0.10768724
#> 700 0.10203420
#> 701 0.10022791
#> 702 0.10391853
#> 703 0.10992143
#>
#> $matfit
#> [,1] [,2] [,3] [,4] [,5]
#> 1.64869392029419 0.04584512 0.04605607 0.04631693 0.04673034 0.04876195
#> 1.75126810787332 0.07472683 0.07507519 0.07568363 0.07769915 0.08105683
#> 1.79946777896389 0.08685651 0.08727179 0.08813160 0.09158776 0.09557242
#> 1.87106930768594 0.09966494 0.10017099 0.10151303 0.10808423 0.11292095
#> 1.91429554166968 0.10345458 0.10400699 0.10569078 0.11465925 0.11994370
#> 1.95302761682418 0.10423279 0.10482187 0.10683038 0.11818281 0.12382140
#> 1.99178060312141 0.10282312 0.10344753 0.10578637 0.11963891 0.12558946
#> 2.02501049762032 0.10025452 0.10091230 0.10353148 0.11952980 0.12571847
#> 2.05778004489866 0.09690391 0.09760192 0.10049189 0.11853347 0.12493614
#> 2.09450607114123 0.09268194 0.09343905 0.09662754 0.11679970 0.12342626
#> 2.14006616349627 0.08748611 0.08834424 0.09190822 0.11440411 0.12130171
#> 2.18658617913116 0.08289609 0.08389286 0.08787274 0.11232391 0.11951397
#> 2.22462355152433 0.07993438 0.08106892 0.08543637 0.11117333 0.11863222
#> 2.26917603086292 0.07738258 0.07869830 0.08359473 0.11051445 0.11834147
#> 2.31817718775388 0.07548872 0.07701384 0.08259292 0.11047683 0.11879788
#> 2.36957596181032 0.07411576 0.07585380 0.08223939 0.11084165 0.11980929
#> 2.43815433799455 0.07255942 0.07454685 0.08204845 0.11127908 0.12137226
#> 2.55412171880947 0.06931823 0.07161552 0.08065158 0.11043423 0.12332936
#> 2.70001802940495 0.06422580 0.06677778 0.07662030 0.10667614 0.12455898
#> [,6] [,7] [,8] [,9] [,10]
#> 1.64869392029419 0.04878726 0.04941679 0.05396575 0.05353463 0.049277800
#> 1.75126810787332 0.08053874 0.08161536 0.08822056 0.08721563 0.072340052
#> 1.79946777896389 0.09460925 0.09590733 0.10320401 0.10177693 0.077765559
#> 1.87106930768594 0.11112993 0.11274836 0.12061692 0.11836923 0.075170855
#> 1.91429554166968 0.11761134 0.11941596 0.12737343 0.12453976 0.067023157
#> 1.95302761682418 0.12101439 0.12298354 0.13088459 0.12749501 0.056138340
#> 1.99178060312141 0.12234094 0.12447607 0.13222325 0.12827573 0.042879378
#> 2.02501049762032 0.12213028 0.12441185 0.13197484 0.12756898 0.030569204
#> 2.05778004489866 0.12105428 0.12348634 0.13084207 0.12601942 0.018425028
#> 2.09450607114123 0.11926641 0.12187636 0.12899227 0.12376006 0.005694484
#> 2.14006616349627 0.11686992 0.11971536 0.12655351 0.12091492 -0.007704473
#> 2.18658617913116 0.11487930 0.11798037 0.12458518 0.11865599 -0.017881826
#> 2.22462355152433 0.11387869 0.11719618 0.12365935 0.11758234 -0.023488826
#> 2.26917603086292 0.11349020 0.11706262 0.12341889 0.11725893 -0.027322076
#> 2.31817718775388 0.11387306 0.11771714 0.12402332 0.11786239 -0.028940965
#> 2.36957596181032 0.11482074 0.11892725 0.12524289 0.11915241 -0.028808931
#> 2.43815433799455 0.11626927 0.12067201 0.12706955 0.12113335 -0.027395630
#> 2.55412171880947 0.11778489 0.12252303 0.12914240 0.12347112 -0.025094402
#> 2.70001802940495 0.11790886 0.12282249 0.12968137 0.12417557 -0.023990461
#> [,11] [,12] [,13] [,14] [,15]
#> 1.64869392029419 0.01906293 0.01859221 0.01861258 0.01764051 0.01760062
#> 1.75126810787332 -0.03493095 -0.03685806 -0.03694153 -0.03857883 -0.03843920
#> 1.79946777896389 -0.09647831 -0.09977119 -0.09992871 -0.10189590 -0.10154099
#> 1.87106930768594 -0.24056054 -0.24691874 -0.24719433 -0.24962795 -0.24875421
#> 1.91429554166968 -0.35468092 -0.36345768 -0.36379728 -0.36648232 -0.36519023
#> 1.95302761682418 -0.46818063 -0.47938505 -0.47977118 -0.48265483 -0.48094264
#> 1.99178060312141 -0.58566023 -0.59941128 -0.59983070 -0.60288497 -0.60073438
#> 2.02501049762032 -0.68418245 -0.70010023 -0.70053646 -0.70371433 -0.70119313
#> 2.05778004489866 -0.77510298 -0.79304766 -0.79348971 -0.79676998 -0.79390374
#> 2.09450607114123 -0.86576328 -0.88575564 -0.88619209 -0.88956661 -0.88635217
#> 2.14006616349627 -0.95782735 -0.97992127 -0.98033504 -0.98380190 -0.98022703
#> 2.18658617913116 -1.02719395 -1.05086803 -1.05124443 -1.05478572 -1.05093116
#> 2.22462355152433 -1.06683802 -1.09138641 -1.09172495 -1.09531868 -1.09129879
#> 2.26917603086292 -1.09721013 -1.12236214 -1.12265188 -1.12630446 -1.12215423
#> 2.31817718775388 -1.11586135 -1.14126030 -1.14149504 -1.14521668 -1.14098781
#> 2.36957596181032 -1.12485352 -1.15018380 -1.15036249 -1.15416738 -1.14991232
#> 2.43815433799455 -1.12831445 -1.15326433 -1.15337082 -1.15730424 -1.15307884
#> 2.55412171880947 -1.12769478 -1.15184579 -1.15181428 -1.15596218 -1.15188090
#> 2.70001802940495 -1.12676338 -1.15028906 -1.15001649 -1.15429802 -1.15040620
#> [,16] [,17] [,18] [,19] [,20]
#> 1.64869392029419 0.03678616 0.03595631 0.03503934 0.03399224 0.03282196
#> 1.75126810787332 0.05703811 0.05591414 0.05420274 0.05215800 0.05025025
#> 1.79946777896389 0.06411102 0.06295561 0.06086260 0.05835522 0.05610445
#> 1.87106930768594 0.06919895 0.06816885 0.06559465 0.06259010 0.05988249
#> 1.91429554166968 0.06887189 0.06801195 0.06522448 0.06209152 0.05915331
#> 1.95302761682418 0.06672454 0.06606237 0.06314003 0.06001820 0.05690832
#> 1.99178060312141 0.06334366 0.06290464 0.05989932 0.05690209 0.05365628
#> 2.02501049762032 0.05993502 0.05969323 0.05665471 0.05384080 0.05050803
#> 2.05778004489866 0.05652504 0.05647149 0.05343050 0.05084909 0.04745754
#> 2.09450607114123 0.05306576 0.05320483 0.05019154 0.04790850 0.04448237
#> 2.14006616349627 0.04981060 0.05014979 0.04720669 0.04531187 0.04188667
#> 2.18658617913116 0.04799721 0.04849058 0.04564865 0.04413130 0.04075274
#> 2.22462355152433 0.04765583 0.04823951 0.04549382 0.04425096 0.04094019
#> 2.26917603086292 0.04835055 0.04900616 0.04637914 0.04540900 0.04220472
#> 2.31817718775388 0.05005472 0.05075856 0.04825855 0.04752926 0.04446498
#> 2.36957596181032 0.05234045 0.05307292 0.05069161 0.05016126 0.04725387
#> 2.43815433799455 0.05534077 0.05609333 0.05383607 0.05351598 0.05080301
#> 2.55412171880947 0.05880497 0.05957327 0.05743529 0.05740165 0.05488979
#> 2.70001802940495 0.06048764 0.06126362 0.05917174 0.05940107 0.05687206
#> [,21] [,22] [,23] [,24] [,25]
#> 1.64869392029419 0.03308895 0.03300523 0.03273089 0.03113769 0.02963956
#> 1.75126810787332 0.05063945 0.05049218 0.05009913 0.04768640 0.04547583
#> 1.79946777896389 0.05653990 0.05637061 0.05594697 0.05321402 0.05073710
#> 1.87106930768594 0.06037225 0.06019533 0.05977385 0.05669242 0.05393010
#> 1.91429554166968 0.05966997 0.05950660 0.05911722 0.05590215 0.05302603
#> 1.95302761682418 0.05744696 0.05730665 0.05696493 0.05367394 0.05072522
#> 1.99178060312141 0.05421555 0.05410581 0.05382700 0.05049419 0.04749370
#> 2.02501049762032 0.05108391 0.05100322 0.05078730 0.04743950 0.04440670
#> 2.05778004489866 0.04804848 0.04799583 0.04784668 0.04449726 0.04144035
#> 2.09450607114123 0.04508805 0.04506248 0.04498937 0.04164743 0.03856984
#> 2.14006616349627 0.04250660 0.04250343 0.04251938 0.03919143 0.03609397
#> 2.18658617913116 0.04138208 0.04138535 0.04147861 0.03816192 0.03504708
#> 2.22462355152433 0.04157369 0.04156946 0.04171189 0.03839854 0.03526898
#> 2.26917603086292 0.04284016 0.04281450 0.04299697 0.03968002 0.03652946
#> 2.31817718775388 0.04510082 0.04504018 0.04524634 0.04191848 0.03873622
#> 2.36957596181032 0.04789024 0.04778583 0.04799894 0.04465699 0.04142804
#> 2.43815433799455 0.05144160 0.05127573 0.05148131 0.04812578 0.04481101
#> 2.55412171880947 0.05552678 0.05526359 0.05544671 0.05209578 0.04859754
#> 2.70001802940495 0.05746916 0.05711420 0.05728334 0.05396353 0.05027377
#> [,26] [,27] [,28] [,29] [,30]
#> 1.64869392029419 0.02828410 0.02555615 0.02469171 0.022757018 0.022533369
#> 1.75126810787332 0.04308312 0.03874390 0.03687215 0.033357686 0.032904620
#> 1.79946777896389 0.04782706 0.04278315 0.04033292 0.036010933 0.035423570
#> 1.87106930768594 0.05029981 0.04436629 0.04104346 0.035573593 0.034768372
#> 1.91429554166968 0.04901582 0.04264661 0.03883889 0.032748084 0.031806241
#> 1.95302761682418 0.04641938 0.03971864 0.03552551 0.028939596 0.027874694
#> 1.99178060312141 0.04293696 0.03595047 0.03142663 0.024407656 0.023220447
#> 2.02501049762032 0.03967010 0.03246712 0.02770492 0.020364292 0.019073734
#> 2.05778004489866 0.03655645 0.02915932 0.02420099 0.016586467 0.015196085
#> 2.09450607114123 0.03355302 0.02595493 0.02081803 0.012944550 0.011445567
#> 2.14006616349627 0.03095270 0.02312271 0.01781464 0.009684297 0.008056591
#> 2.18658617913116 0.02981534 0.02176383 0.01632448 0.007996869 0.006245488
#> 2.22462355152433 0.02998349 0.02176162 0.01623757 0.007790746 0.005943974
#> 2.26917603086292 0.03119673 0.02278882 0.01718195 0.008635895 0.006682753
#> 2.31817718775388 0.03336338 0.02476966 0.01908327 0.010468547 0.008402434
#> 2.36957596181032 0.03601943 0.02725266 0.02148923 0.012836202 0.010652236
#> 2.43815433799455 0.03935628 0.03038855 0.02452835 0.015858161 0.013511357
#> 2.55412171880947 0.04305152 0.03378606 0.02778677 0.019123058 0.016470095
#> 2.70001802940495 0.04457910 0.03496952 0.02886816 0.020215331 0.017126605
#> [,31] [,32] [,33] [,34]
#> 1.64869392029419 0.021426214 0.021330688 0.021111537 0.0204292143
#> 1.75126810787332 0.031086511 0.030958403 0.030774560 0.0297270609
#> 1.79946777896389 0.033295334 0.033164279 0.033037936 0.0318057050
#> 1.87106930768594 0.032284894 0.032166272 0.032148915 0.0305924434
#> 1.91429554166968 0.029191109 0.029084464 0.029128789 0.0273258965
#> 1.95302761682418 0.025198419 0.025098311 0.025184603 0.0231177344
#> 1.99178060312141 0.020531990 0.020426741 0.020536276 0.0181614568
#> 2.02501049762032 0.016406246 0.016280943 0.016392574 0.0137205465
#> 2.05778004489866 0.012568700 0.012404303 0.012500754 0.0095102321
#> 2.09450607114123 0.008874227 0.008638546 0.008697748 0.0053282268
#> 2.14006616349627 0.005552011 0.005183714 0.005169094 0.0013122290
#> 2.18658617913116 0.003785851 0.003233445 0.003116285 -0.0012390134
#> 2.22462355152433 0.003493967 0.002760999 0.002543448 -0.0022085275
#> 2.26917603086292 0.004209635 0.003242980 0.002893006 -0.0023026460
#> 2.31817718775388 0.005865686 0.004632644 0.004122653 -0.0015292383
#> 2.36957596181032 0.008019175 0.006517982 0.005827639 -0.0002638228
#> 2.43815433799455 0.010733560 0.008922996 0.007977988 0.0013663246
#> 2.55412171880947 0.013492174 0.011323715 0.009947068 0.0026419831
#> 2.70001802940495 0.014035957 0.011628079 0.009842219 0.0019805962
#> [,35] [,36] [,37]
#> 1.64869392029419 0.0193676466 0.016323217 0.0151693670
#> 1.75126810787332 0.0278764514 0.022522431 0.0202821850
#> 1.79946777896389 0.0295478254 0.023020183 0.0202125271
#> 1.87106930768594 0.0277329042 0.019534355 0.0159306396
#> 1.91429554166968 0.0241206238 0.015020453 0.0110003691
#> 1.95302761682418 0.0196196174 0.009807839 0.0054654554
#> 1.99178060312141 0.0143876757 0.003965581 -0.0006539162
#> 2.02501049762032 0.0097234801 -0.001139118 -0.0059667592
#> 2.05778004489866 0.0053030976 -0.005921585 -0.0109358890
#> 2.09450607114123 0.0008948414 -0.010656947 -0.0158687787
#> 2.14006616349627 -0.0033931492 -0.015249977 -0.0207055491
#> 2.18658617913116 -0.0062170026 -0.018291068 -0.0240102224
#> 2.22462355152433 -0.0074070995 -0.019602946 -0.0255569756
#> 2.26917603086292 -0.0077555973 -0.020044047 -0.0263004922
#> 2.31817718775388 -0.0072521819 -0.019592963 -0.0262186537
#> 2.36957596181032 -0.0062518896 -0.018602882 -0.0256567592
#> 2.43815433799455 -0.0049393813 -0.017248894 -0.0249292195
#> 2.55412171880947 -0.0041328315 -0.016296647 -0.0250685553
#> 2.70001802940495 -0.0053747184 -0.017402742 -0.0271567578
#>
#> $cilower
#> [,1] [,2] [,3] [,4]
#> 1.64869392029419 -0.005933553 -0.005933553 -0.005933553 -0.006229762
#> 1.75126810787332 -0.012520062 -0.012520062 -0.012669820 -0.009631761
#> 1.79946777896389 -0.018637023 -0.018637023 -0.021943176 -0.009179163
#> 1.87106930768594 -0.041726104 -0.030611322 -0.048722923 -0.011863637
#> 1.91429554166968 -0.048507356 -0.042898205 -0.055101143 -0.011993345
#> 1.95302761682418 -0.062378326 -0.045084582 -0.072059381 -0.011628524
#> 1.99178060312141 -0.077397870 -0.051684985 -0.091534377 -0.017302634
#> 2.02501049762032 -0.090077359 -0.064309334 -0.104478813 -0.014631452
#> 2.05778004489866 -0.101811986 -0.069687192 -0.124536661 -0.012741988
#> 2.09450607114123 -0.123342866 -0.092108142 -0.143155881 -0.013600172
#> 2.14006616349627 -0.137509646 -0.116650967 -0.175663188 -0.022661575
#> 2.18658617913116 -0.141899796 -0.135770282 -0.184960259 -0.028898665
#> 2.22462355152433 -0.146291469 -0.141499094 -0.188916371 -0.031089901
#> 2.26917603086292 -0.147800541 -0.140802388 -0.190307141 -0.033060706
#> 2.31817718775388 -0.145677314 -0.139321898 -0.189033679 -0.033925657
#> 2.36957596181032 -0.142875298 -0.137403029 -0.185931354 -0.034281836
#> 2.43815433799455 -0.140169249 -0.134985655 -0.180815406 -0.032553069
#> 2.55412171880947 -0.141970299 -0.126381938 -0.172943435 -0.043078014
#> 2.70001802940495 -0.142938199 -0.134882440 -0.167015453 -0.061007141
#> [,5] [,6] [,7] [,8]
#> 1.64869392029419 -0.005684666 -0.006238762 -0.006236958 -0.000832610
#> 1.75126810787332 -0.008759303 -0.008759303 -0.009631761 -0.003872626
#> 1.79946777896389 -0.007608806 -0.007608806 -0.006376831 -0.006336346
#> 1.87106930768594 -0.007139335 -0.010949103 -0.010949103 -0.010797869
#> 1.91429554166968 -0.008077554 -0.011835860 -0.011804019 -0.011804019
#> 1.95302761682418 -0.011399794 -0.011531769 -0.011087906 -0.011087906
#> 1.99178060312141 -0.011975758 -0.012029454 -0.010687648 -0.010687648
#> 2.02501049762032 -0.013193457 -0.013371479 -0.011172077 -0.011172077
#> 2.05778004489866 -0.012451502 -0.014337762 -0.012451502 -0.014159844
#> 2.09450607114123 -0.013337476 -0.014897354 -0.013337476 -0.014736076
#> 2.14006616349627 -0.014471946 -0.014753960 -0.013386342 -0.014652940
#> 2.18658617913116 -0.013482504 -0.014544441 -0.013405142 -0.014417387
#> 2.22462355152433 -0.014261518 -0.019936414 -0.014482586 -0.019757948
#> 2.26917603086292 -0.016051053 -0.024450784 -0.021213747 -0.023699651
#> 2.31817718775388 -0.016373350 -0.027566405 -0.026811542 -0.020876373
#> 2.36957596181032 -0.015498493 -0.029990473 -0.029209595 -0.020278791
#> 2.43815433799455 -0.013363280 -0.030130813 -0.029213114 -0.018192886
#> 2.55412171880947 -0.008677194 -0.026934687 -0.019279965 -0.020313462
#> 2.70001802940495 -0.001173507 -0.018583771 -0.004642118 -0.011044416
#> [,9] [,10] [,11] [,12] [,13]
#> 1.64869392029419 -0.001724467 -0.00674017 -0.04007828 -0.04007828 -0.03974877
#> 1.75126810787332 -0.009642251 -0.03548523 -0.13167836 -0.13167836 -0.13167836
#> 1.79946777896389 -0.010883027 -0.06685784 -0.21259027 -0.21258813 -0.21258813
#> 1.87106930768594 -0.011821433 -0.16003111 -0.37321304 -0.37302589 -0.37302589
#> 1.91429554166968 -0.013101582 -0.22811839 -0.49643350 -0.49643350 -0.49643350
#> 1.95302761682418 -0.016165946 -0.29623122 -0.61995269 -0.61995269 -0.62135275
#> 1.99178060312141 -0.023161335 -0.36735822 -0.74046609 -0.74046609 -0.74046609
#> 2.02501049762032 -0.026841894 -0.42762605 -0.83694493 -0.83694493 -0.83694493
#> 2.05778004489866 -0.030261722 -0.48385225 -0.93014039 -0.93014039 -0.93014039
#> 2.09450607114123 -0.033689135 -0.54109119 -1.03121790 -1.02972741 -1.02971083
#> 2.14006616349627 -0.037120982 -0.60060598 -1.12332832 -1.12676736 -1.12676736
#> 2.18658617913116 -0.039522748 -0.64642444 -1.19055361 -1.19687231 -1.19687231
#> 2.22462355152433 -0.040775434 -0.67327119 -1.22958831 -1.23127378 -1.23127378
#> 2.26917603086292 -0.041618754 -0.69463708 -1.26292952 -1.26292952 -1.26292952
#> 2.31817718775388 -0.041986251 -0.70862465 -1.27720428 -1.27720428 -1.27720428
#> 2.36957596181032 -0.041931884 -0.71622385 -1.28338445 -1.28338445 -1.28338445
#> 2.43815433799455 -0.041066323 -0.72025782 -1.28634382 -1.28607254 -1.28032904
#> 2.55412171880947 -0.038973912 -0.72140576 -1.29007526 -1.28978293 -1.28991025
#> 2.70001802940495 -0.041241785 -0.72110004 -1.29144011 -1.29114195 -1.29148923
#> [,14] [,15] [,16] [,17] [,18]
#> 1.64869392029419 -0.04031252 -0.04054963 -0.007134841 -0.007079988 -0.007622146
#> 1.75126810787332 -0.13191908 -0.13179556 -0.016964566 -0.016824333 -0.017452839
#> 1.79946777896389 -0.21422586 -0.21364927 -0.023046110 -0.021394561 -0.023557029
#> 1.87106930768594 -0.38065546 -0.38234269 -0.032394703 -0.031940094 -0.032394703
#> 1.91429554166968 -0.50417360 -0.50825635 -0.036703571 -0.034516828 -0.037078311
#> 1.95302761682418 -0.62223938 -0.63146065 -0.038058226 -0.036799545 -0.039106879
#> 1.99178060312141 -0.74786774 -0.75526735 -0.041398445 -0.039253729 -0.041032474
#> 2.02501049762032 -0.85639132 -0.85697702 -0.045583380 -0.040967751 -0.041574403
#> 2.05778004489866 -0.94707850 -0.95067685 -0.047210177 -0.041325941 -0.044236693
#> 2.09450607114123 -1.03476630 -1.04300676 -0.055689812 -0.040750034 -0.046819007
#> 2.14006616349627 -1.13458308 -1.13475971 -0.058212940 -0.041028992 -0.042498584
#> 2.18658617913116 -1.20323119 -1.20343330 -0.056615527 -0.040674864 -0.042145577
#> 2.22462355152433 -1.23937208 -1.24119014 -0.052604542 -0.039994315 -0.042366838
#> 2.26917603086292 -1.26693240 -1.27042971 -0.045676847 -0.041730872 -0.044126650
#> 2.31817718775388 -1.28099054 -1.28864623 -0.049013648 -0.038850802 -0.040451844
#> 2.36957596181032 -1.29139952 -1.29558769 -0.049984112 -0.038712244 -0.043988391
#> 2.43815433799455 -1.29636732 -1.29652517 -0.053449138 -0.037825414 -0.042463858
#> 2.55412171880947 -1.29653394 -1.29591907 -0.054223241 -0.035879523 -0.036144113
#> 2.70001802940495 -1.30448005 -1.29992298 -0.037206826 -0.033597200 -0.035595597
#> [,19] [,20] [,21] [,22] [,23]
#> 1.64869392029419 -0.007622146 -0.01374889 -0.01374889 -0.01590895 -0.01809431
#> 1.75126810787332 -0.017452839 -0.01899102 -0.01899102 -0.02066922 -0.02066922
#> 1.79946777896389 -0.023557029 -0.02340423 -0.02340423 -0.02481660 -0.02481660
#> 1.87106930768594 -0.032394703 -0.03217398 -0.03144263 -0.03263354 -0.03263354
#> 1.91429554166968 -0.039300549 -0.03930055 -0.03707831 -0.03931838 -0.03931838
#> 1.95302761682418 -0.040013003 -0.04001300 -0.03727409 -0.04008847 -0.04008847
#> 1.99178060312141 -0.041500273 -0.04150027 -0.04103247 -0.04155159 -0.04155159
#> 2.02501049762032 -0.046914027 -0.04691403 -0.04224198 -0.04691214 -0.04159898
#> 2.05778004489866 -0.048370507 -0.04837051 -0.04488823 -0.04677253 -0.04413822
#> 2.09450607114123 -0.047272384 -0.04727238 -0.04696465 -0.04697622 -0.04516714
#> 2.14006616349627 -0.047289617 -0.04874453 -0.04874453 -0.04874453 -0.04300077
#> 2.18658617913116 -0.046462027 -0.04892515 -0.04892515 -0.04892515 -0.04196373
#> 2.22462355152433 -0.045963525 -0.04768849 -0.04768849 -0.04768849 -0.04134078
#> 2.26917603086292 -0.044764188 -0.04494066 -0.04476419 -0.04476419 -0.03896130
#> 2.31817718775388 -0.043586880 -0.04581762 -0.04181740 -0.04181740 -0.04040790
#> 2.36957596181032 -0.045207205 -0.04584539 -0.04222026 -0.04222026 -0.03526765
#> 2.43815433799455 -0.044727105 -0.04582343 -0.04033431 -0.04033431 -0.03796546
#> 2.55412171880947 -0.036728269 -0.03813709 -0.03681022 -0.03681022 -0.03380802
#> 2.70001802940495 -0.032558351 -0.03579907 -0.03579907 -0.03441074 -0.03364285
#> [,24] [,25] [,26] [,27] [,28]
#> 1.64869392029419 -0.01847807 -0.01847807 -0.01847807 -0.01855557 -0.01855557
#> 1.75126810787332 -0.02466990 -0.02466990 -0.02698760 -0.03190036 -0.03229392
#> 1.79946777896389 -0.02593846 -0.02593846 -0.03160116 -0.03352923 -0.03927439
#> 1.87106930768594 -0.03400224 -0.03403340 -0.03991952 -0.04335713 -0.04651997
#> 1.91429554166968 -0.03931837 -0.03980567 -0.04548810 -0.04864476 -0.05194591
#> 1.95302761682418 -0.04008847 -0.04695092 -0.04919046 -0.05057684 -0.05403796
#> 1.99178060312141 -0.04455012 -0.04889472 -0.05379783 -0.05421197 -0.05601430
#> 2.02501049762032 -0.04810439 -0.04910977 -0.05315830 -0.05847067 -0.05931447
#> 2.05778004489866 -0.05099235 -0.05318394 -0.05492383 -0.05869420 -0.06345992
#> 2.09450607114123 -0.04795221 -0.05338467 -0.05942408 -0.06033722 -0.06772115
#> 2.14006616349627 -0.04904962 -0.04957530 -0.06086236 -0.06134123 -0.07136205
#> 2.18658617913116 -0.04942385 -0.04942385 -0.06042967 -0.06268152 -0.07348884
#> 2.22462355152433 -0.05077782 -0.05077782 -0.05966040 -0.06043806 -0.07416423
#> 2.26917603086292 -0.04817401 -0.04817401 -0.05482348 -0.05995635 -0.07496390
#> 2.31817718775388 -0.05000118 -0.05000118 -0.05200796 -0.05883693 -0.07572374
#> 2.36957596181032 -0.04950628 -0.04950628 -0.05055052 -0.05703500 -0.07018619
#> 2.43815433799455 -0.04468106 -0.04468106 -0.04893573 -0.05645320 -0.06622627
#> 2.55412171880947 -0.04128564 -0.04323249 -0.04699662 -0.05498221 -0.06019418
#> 2.70001802940495 -0.03364285 -0.03483125 -0.03812256 -0.06051352 -0.06409434
#> [,29] [,30] [,31] [,32] [,33]
#> 1.64869392029419 -0.02102016 -0.02440074 -0.02931707 -0.02931707 -0.02931707
#> 1.75126810787332 -0.03327522 -0.03755856 -0.04559834 -0.04559837 -0.03908995
#> 1.79946777896389 -0.03972074 -0.04337797 -0.05324004 -0.05324004 -0.04600425
#> 1.87106930768594 -0.04652321 -0.04854919 -0.06646143 -0.06794827 -0.05522964
#> 1.91429554166968 -0.05227995 -0.05506107 -0.06674666 -0.06960646 -0.06043242
#> 1.95302761682418 -0.05979176 -0.06049600 -0.06966219 -0.07018767 -0.07001136
#> 1.99178060312141 -0.06101007 -0.06177556 -0.07472925 -0.07503454 -0.07503454
#> 2.02501049762032 -0.06505745 -0.06521726 -0.08121391 -0.08161874 -0.08161874
#> 2.05778004489866 -0.07287088 -0.07287088 -0.08615174 -0.08666996 -0.08666996
#> 2.09450607114123 -0.07460382 -0.07460382 -0.08982368 -0.09048328 -0.09048328
#> 2.14006616349627 -0.07659012 -0.07659012 -0.09087854 -0.09090026 -0.09266917
#> 2.18658617913116 -0.07898042 -0.07898042 -0.08926739 -0.08929401 -0.09229160
#> 2.22462355152433 -0.07954658 -0.07954658 -0.08708169 -0.08711205 -0.09033055
#> 2.26917603086292 -0.07906866 -0.07906866 -0.08438356 -0.08441775 -0.08672434
#> 2.31817718775388 -0.07777291 -0.07777291 -0.07982117 -0.08136325 -0.08352271
#> 2.36957596181032 -0.07544672 -0.07544672 -0.07647880 -0.07840263 -0.08410993
#> 2.43815433799455 -0.07082191 -0.07019270 -0.07613880 -0.08297527 -0.08336742
#> 2.55412171880947 -0.07602266 -0.07046226 -0.07836777 -0.08236747 -0.08683600
#> 2.70001802940495 -0.07787967 -0.07787967 -0.08369994 -0.08986018 -0.09139866
#> [,34] [,35] [,36] [,37]
#> 1.64869392029419 -0.02931707 -0.02976652 -0.03506494 -0.03773273
#> 1.75126810787332 -0.04057328 -0.04602865 -0.05555277 -0.06059583
#> 1.79946777896389 -0.05085770 -0.06032956 -0.06909971 -0.07138036
#> 1.87106930768594 -0.06794827 -0.07516356 -0.08803053 -0.09632982
#> 1.91429554166968 -0.06960646 -0.07747632 -0.10739100 -0.10981902
#> 1.95302761682418 -0.07469519 -0.08209129 -0.11272942 -0.12677585
#> 1.99178060312141 -0.08569886 -0.09240431 -0.12425712 -0.14125329
#> 2.02501049762032 -0.08824934 -0.10303732 -0.13256955 -0.15249676
#> 2.05778004489866 -0.08998798 -0.10599258 -0.13905444 -0.16139518
#> 2.09450607114123 -0.09107021 -0.10363006 -0.14413955 -0.17571227
#> 2.14006616349627 -0.09568145 -0.10269411 -0.14730165 -0.19193862
#> 2.18658617913116 -0.10099171 -0.10482948 -0.14741491 -0.20292390
#> 2.22462355152433 -0.10285606 -0.10526268 -0.14890461 -0.20795490
#> 2.26917603086292 -0.10428356 -0.10728821 -0.14876838 -0.20718207
#> 2.31817718775388 -0.10206574 -0.10796308 -0.14757877 -0.20653745
#> 2.36957596181032 -0.10404887 -0.10873984 -0.14885032 -0.20648558
#> 2.43815433799455 -0.10158277 -0.11393425 -0.14823232 -0.20784675
#> 2.55412171880947 -0.09441035 -0.11897256 -0.14686676 -0.21578152
#> 2.70001802940495 -0.09781056 -0.11777313 -0.14977610 -0.22269728
#>
#> $ciupper
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> 1.64869392029419 0.1568840 0.1576250 0.1576250 0.1576250 0.1576250 0.1576250
#> 1.75126810787332 0.2208480 0.2229666 0.2247034 0.2247034 0.2247034 0.2247034
#> 1.79946777896389 0.2441322 0.2441322 0.2493844 0.2493844 0.2493844 0.2493844
#> 1.87106930768594 0.2740760 0.2721245 0.2693022 0.2693022 0.2693022 0.2695414
#> 1.91429554166968 0.2803832 0.2837209 0.2736916 0.2736916 0.2736916 0.2736916
#> 1.95302761682418 0.2789861 0.2819385 0.2789861 0.2790590 0.2789861 0.2789861
#> 1.99178060312141 0.2725375 0.2823549 0.2725375 0.2929344 0.2929344 0.2807625
#> 2.02501049762032 0.2682215 0.2949469 0.2682215 0.3023233 0.2943778 0.2790271
#> 2.05778004489866 0.2738702 0.3001385 0.2662460 0.3002156 0.2925211 0.2767865
#> 2.09450607114123 0.2738000 0.2968218 0.2640199 0.2968219 0.2889388 0.2740501
#> 2.14006616349627 0.2707530 0.2922478 0.2618196 0.2922623 0.2865570 0.2707980
#> 2.18658617913116 0.2696451 0.2876491 0.2605913 0.2878949 0.2865024 0.2679210
#> 2.22462355152433 0.2693038 0.2844526 0.2604000 0.2872437 0.2864024 0.2633257
#> 2.26917603086292 0.2639646 0.2815135 0.2609239 0.2883129 0.2876093 0.2609736
#> 2.31817718775388 0.2621261 0.2792634 0.2602962 0.2915368 0.2910563 0.2606266
#> 2.36957596181032 0.2596581 0.2778136 0.2595370 0.2969736 0.2967875 0.2628687
#> 2.43815433799455 0.2555957 0.2766538 0.2589929 0.3058906 0.3058906 0.2657574
#> 2.55412171880947 0.2561108 0.2759217 0.2576618 0.2835889 0.3209150 0.2704699
#> 2.70001802940495 0.2482714 0.2609749 0.2551071 0.2772180 0.3291720 0.2684177
#> [,7] [,8] [,9] [,10] [,11] [,12]
#> 1.64869392029419 0.1568789 0.1596563 0.1596563 0.1510476 0.12395440 0.1239544
#> 1.75126810787332 0.2231184 0.2340284 0.2340284 0.2160592 0.09855350 0.0985535
#> 1.79946777896389 0.2445407 0.2590605 0.2590605 0.2325350 0.04008190 0.0400819
#> 1.87106930768594 0.2680095 0.2907393 0.2907393 0.2534756 -0.07311439 -0.1061750
#> 1.91429554166968 0.2736916 0.2998509 0.2998509 0.2595904 -0.15576789 -0.2152884
#> 1.95302761682418 0.2817284 0.3112930 0.3112930 0.2619321 -0.26075806 -0.3266798
#> 1.99178060312141 0.2854641 0.3177388 0.3177388 0.2606770 -0.35288485 -0.4514901
#> 2.02501049762032 0.2900768 0.3155669 0.3155669 0.2516593 -0.41799571 -0.5539588
#> 2.05778004489866 0.2911113 0.3139000 0.3136526 0.2479304 -0.48085763 -0.6450338
#> 2.09450607114123 0.2876727 0.3189084 0.3186384 0.2448795 -0.54066743 -0.7340253
#> 2.14006616349627 0.2799554 0.3212891 0.3212816 0.2425699 -0.59938851 -0.8255117
#> 2.18658617913116 0.2719876 0.3225404 0.3225325 0.2419531 -0.64471292 -0.8927187
#> 2.22462355152433 0.2659211 0.3233067 0.3232986 0.2420929 -0.67137359 -0.9273254
#> 2.26917603086292 0.2625629 0.3233990 0.3233906 0.2429330 -0.69259012 -0.9578614
#> 2.31817718775388 0.2621300 0.3227946 0.3227861 0.2444845 -0.70650042 -0.9820040
#> 2.36957596181032 0.2632582 0.3216587 0.3216502 0.2464021 -0.71410040 -0.9883997
#> 2.43815433799455 0.2662513 0.3211955 0.3211869 0.2583333 -0.71821840 -0.9899500
#> 2.55412171880947 0.2716632 0.3169830 0.3169830 0.2562859 -0.71958361 -0.9872938
#> 2.70001802940495 0.2692356 0.3151936 0.3151936 0.2625392 -0.71955617 -0.9852076
#> [,13] [,14] [,15] [,16] [,17]
#> 1.64869392029419 0.1239544 0.1239544 0.12362169 0.1407120 0.1384098
#> 1.75126810787332 0.0985535 0.0985535 0.09771904 0.1953561 0.1918641
#> 1.79946777896389 0.0400729 0.0400729 0.04026435 0.2109379 0.2098867
#> 1.87106930768594 -0.1061750 -0.1064481 -0.10619286 0.2201365 0.2182541
#> 1.91429554166968 -0.2152884 -0.2155409 -0.21606625 0.2156063 0.2134737
#> 1.95302761682418 -0.3266798 -0.3310863 -0.33110990 0.2158323 0.2158323
#> 1.99178060312141 -0.4514901 -0.4514901 -0.45134400 0.2159084 0.2159084
#> 2.02501049762032 -0.5539588 -0.5539588 -0.54186910 0.2118601 0.2118601
#> 2.05778004489866 -0.6450338 -0.6487429 -0.63227656 0.2064955 0.2064955
#> 2.09450607114123 -0.7336481 -0.7336481 -0.72964133 0.2009272 0.2009272
#> 2.14006616349627 -0.8239502 -0.8314204 -0.81904261 0.1953545 0.1953545
#> 2.18658617913116 -0.8895419 -0.9053533 -0.88460782 0.1947991 0.1915910
#> 2.22462355152433 -0.9267910 -0.9408241 -0.92441843 0.1952105 0.1899619
#> 2.26917603086292 -0.9564540 -0.9669211 -0.95157060 0.1949529 0.1894277
#> 2.31817718775388 -0.9768766 -0.9823654 -0.96558955 0.1933311 0.1899766
#> 2.36957596181032 -0.9870196 -0.9890255 -0.97239075 0.1913189 0.1913189
#> 2.43815433799455 -0.9899500 -0.9925805 -0.97508972 0.1979466 0.1979466
#> 2.55412171880947 -0.9872938 -0.9958272 -0.97362169 0.2010427 0.2010427
#> 2.70001802940495 -0.9852076 -0.9864724 -0.98056678 0.2017903 0.2017903
#> [,18] [,19] [,20] [,21] [,22] [,23]
#> 1.64869392029419 0.1402430 0.1388405 0.1388405 0.1388803 0.1388803 0.1388803
#> 1.75126810787332 0.1953561 0.1954119 0.1954120 0.1954193 0.1954193 0.1954193
#> 1.79946777896389 0.2109379 0.2113982 0.2113982 0.2126966 0.2126966 0.2126966
#> 1.87106930768594 0.2201365 0.2242740 0.2242740 0.2260570 0.2260570 0.2260570
#> 1.91429554166968 0.2136695 0.2251932 0.2251932 0.2252182 0.2252182 0.2252182
#> 1.95302761682418 0.2158764 0.2215014 0.2215014 0.2215014 0.2215014 0.2215014
#> 1.99178060312141 0.2126218 0.2171270 0.2171270 0.2171270 0.2152521 0.2152521
#> 2.02501049762032 0.2048153 0.2116654 0.2116654 0.2116654 0.2085483 0.2085483
#> 2.05778004489866 0.1976531 0.2047460 0.2047460 0.2047460 0.2002080 0.2002080
#> 2.09450607114123 0.1909213 0.1967448 0.1967448 0.1967448 0.1909213 0.1909213
#> 2.14006616349627 0.1850806 0.1884279 0.1884279 0.1884279 0.1849605 0.1849605
#> 2.18658617913116 0.1834863 0.1836629 0.1836629 0.1836629 0.1815630 0.1815630
#> 2.22462355152433 0.1820000 0.1833840 0.1833840 0.1833840 0.1804038 0.1804038
#> 2.26917603086292 0.1803574 0.1873677 0.1873677 0.1873677 0.1802412 0.1802412
#> 2.31817718775388 0.1853548 0.1898980 0.1898980 0.1898980 0.1807440 0.1807440
#> 2.36957596181032 0.1910960 0.1915713 0.1915713 0.1915713 0.1813064 0.1813064
#> 2.43815433799455 0.1933031 0.1935772 0.1935772 0.1935772 0.1889569 0.1889569
#> 2.55412171880947 0.1982591 0.2016363 0.2016363 0.2087570 0.2087570 0.2087570
#> 2.70001802940495 0.1982249 0.2087673 0.2087056 0.2121253 0.2121253 0.2121253
#> [,24] [,25] [,26] [,27] [,28] [,29]
#> 1.64869392029419 0.1402557 0.1402557 0.1402557 0.1022113 0.09503767 0.09503424
#> 1.75126810787332 0.1997934 0.1997934 0.1954193 0.1525402 0.15254023 0.14315068
#> 1.79946777896389 0.2172610 0.2172610 0.2134592 0.1681712 0.16708546 0.15394512
#> 1.87106930768594 0.2260872 0.2260872 0.2201818 0.1805600 0.17635636 0.16451548
#> 1.91429554166968 0.2252182 0.2251281 0.2102215 0.1814826 0.17488545 0.16710921
#> 1.95302761682418 0.2215014 0.2197130 0.1977539 0.1770862 0.16981673 0.16404164
#> 1.99178060312141 0.2152521 0.2152697 0.1841953 0.1648328 0.16382293 0.15665788
#> 2.02501049762032 0.2085483 0.2085227 0.1732631 0.1612919 0.15497888 0.14769773
#> 2.05778004489866 0.2016815 0.2016305 0.1697765 0.1566038 0.15473509 0.13741795
#> 2.09450607114123 0.2008654 0.1985343 0.1700297 0.1536033 0.14796121 0.12863086
#> 2.14006616349627 0.1953913 0.1935454 0.1726192 0.1510638 0.13849370 0.12211992
#> 2.18658617913116 0.1916417 0.1908841 0.1745895 0.1475850 0.13243385 0.12184023
#> 2.22462355152433 0.1899597 0.1901453 0.1740534 0.1441760 0.13302594 0.12313417
#> 2.26917603086292 0.1893408 0.1903005 0.1719374 0.1427448 0.13931395 0.12589354
#> 2.31817718775388 0.1898903 0.1909895 0.1711114 0.1524776 0.13418004 0.13053849
#> 2.36957596181032 0.1912365 0.1916302 0.1713572 0.1565498 0.14043688 0.13419599
#> 2.43815433799455 0.1932473 0.1917989 0.1786509 0.1644970 0.14939400 0.13962042
#> 2.55412171880947 0.2096849 0.2096901 0.1826143 0.1695179 0.15537630 0.14674011
#> 2.70001802940495 0.2152188 0.2152188 0.1859273 0.1713691 0.15731358 0.15348567
#> [,30] [,31] [,32] [,33] [,34]
#> 1.64869392029419 0.09503424 0.09503424 0.09503424 0.09503424 0.09502131
#> 1.75126810787332 0.14315068 0.14315068 0.14315068 0.14315068 0.14307642
#> 1.79946777896389 0.14845670 0.14845670 0.14845670 0.14845670 0.14830756
#> 1.87106930768594 0.16748922 0.16748922 0.16748922 0.16748922 0.16161702
#> 1.91429554166968 0.17159282 0.17159282 0.17159282 0.17159282 0.15201888
#> 1.95302761682418 0.16964549 0.16964549 0.16964549 0.16964549 0.13727759
#> 1.99178060312141 0.16217186 0.16217186 0.16217186 0.16217186 0.12939839
#> 2.02501049762032 0.15134260 0.15134260 0.15134260 0.15134260 0.12605604
#> 2.05778004489866 0.13890718 0.13890718 0.13890718 0.13890718 0.12379735
#> 2.09450607114123 0.12888813 0.12614441 0.12614441 0.12614441 0.12037904
#> 2.14006616349627 0.12215141 0.12143813 0.12143813 0.11768536 0.11333191
#> 2.18658617913116 0.11794939 0.12090485 0.12090485 0.11799005 0.11023418
#> 2.22462355152433 0.11207969 0.12417527 0.12417527 0.12175408 0.10788849
#> 2.26917603086292 0.11517344 0.12792286 0.12851327 0.12792286 0.10751393
#> 2.31817718775388 0.12174520 0.13139567 0.13141457 0.13053265 0.10614833
#> 2.36957596181032 0.12666278 0.13379359 0.13383914 0.13323727 0.10771712
#> 2.43815433799455 0.12871199 0.13737353 0.13753541 0.13464373 0.11267645
#> 2.55412171880947 0.13040986 0.13568017 0.14322414 0.13261534 0.12224082
#> 2.70001802940495 0.13015778 0.14095657 0.14808666 0.12966988 0.11478784
#> [,35] [,36] [,37]
#> 1.64869392029419 0.09273074 0.09223323 0.09223589
#> 1.75126810787332 0.12609340 0.12517348 0.12517184
#> 1.79946777896389 0.14695658 0.13503910 0.13499801
#> 1.87106930768594 0.14637494 0.13991521 0.13997287
#> 1.91429554166968 0.14013724 0.13478389 0.13481762
#> 1.95302761682418 0.13160970 0.12939079 0.13089268
#> 1.99178060312141 0.12251997 0.12038190 0.12148866
#> 2.02501049762032 0.11797836 0.11704380 0.11921295
#> 2.05778004489866 0.11526267 0.11132914 0.11697250
#> 2.09450607114123 0.11237422 0.10627361 0.11474551
#> 2.14006616349627 0.10927004 0.10651111 0.11265294
#> 2.18658617913116 0.10673236 0.10673236 0.10910979
#> 2.22462355152433 0.10523320 0.10523320 0.10954965
#> 2.26917603086292 0.10459606 0.10385550 0.10926206
#> 2.31817718775388 0.10588301 0.10366766 0.10768724
#> 2.36957596181032 0.10555437 0.10199032 0.10203420
#> 2.43815433799455 0.10571646 0.09850734 0.10022791
#> 2.55412171880947 0.10397493 0.09950853 0.10391853
#> 2.70001802940495 0.11075586 0.10822640 0.10992143
#>
#> $cenval
#> [1] 0
#>
#> $cumulative.effect
#> vals mean lower upper
#> 1 1.648694 1.1733800 -0.3730666 4.01853159
#> 2 1.751268 1.5005687 -0.9203527 5.23506568
#> 3 1.799468 1.4047270 -1.3683045 5.28058512
#> 4 1.871069 0.8401746 -2.3414251 4.86419126
#> 5 1.914296 0.2606130 -2.9892408 4.33075749
#> 6 1.953028 -0.3735883 -3.6646459 3.51018091
#> 7 1.991781 -1.0689006 -4.2272693 2.54832649
#> 8 2.025010 -1.6730744 -4.7525323 1.80324714
#> 9 2.057780 -2.2423284 -5.2204717 1.29182949
#> 10 2.094506 -2.8162316 -5.7212670 0.69810849
#> 11 2.140066 -3.3976392 -6.2741134 -0.06105589
#> 12 2.186586 -3.8233049 -6.6131671 -0.54735049
#> 13 2.224624 -4.0506508 -6.7160696 -0.76596057
#> 14 2.269176 -4.2016031 -6.7654482 -0.93670071
#> 15 2.318177 -4.2626927 -6.8398184 -1.05461767
#> 16 2.369576 -4.2561659 -6.8408317 -1.09390944
#> 17 2.438154 -4.2035274 -6.6775083 -0.91646714
#> 18 2.554122 -4.1288622 -6.5578117 -0.68039937
#> 19 2.700018 -4.1157049 -6.6138469 -0.58778210
#>
#> $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
#> -1.71013154 -1.56249305 0.61465081 0.26028501 -0.06693421 -0.98354159
#> b1 b2 b3 b4 b5
#> -0.62307846 1.04260566 -0.61100387 0.69545057 1.41334838
#>
#> $gamma.ci
#> (Intercept) c1 c2 c3 c4 c5
#> 2.5% -10.797417 -1.643743 0.5214339 0.1661036 -0.15444845 -1.0939746
#> 97.5% 8.206714 -1.483173 0.7183263 0.3509987 0.02573016 -0.8543498
#> b1 b2 b3 b4 b5
#> 2.5% -0.8151343 0.8144137 -0.8029927 0.4666357 1.237239
#> 97.5% -0.3798168 1.2752442 -0.4011728 0.9326706 1.621735
#>
#> $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
#>
#> $formula
#> y ~ .
#> <environment: 0x5616df0fe830>
#>
#> attr(,"class")
#> [1] "summary.tdlnm"
# plot results
plot(tdlnm.sum)
# Heterogeneous TDLM (HDLM), similar to first example but with heterogeneous exposure response
D <- sim.hdlmm(sim = "B", n = 1000)
hdlm.fit <- dlmtree(y ~ .,
data = D$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: 6 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] 0.1401648
#>
#> $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 0.340
#> mod_scale 1.000
#> c1 0.245
#> c2 0.285
#> c3 0.245
#> c4 0.435
#> c5 0.230
#> b1 0.225
#> b2 0.245
#> b3 0.195
#> b4 0.225
#> b5 0.230
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1
#> 0.0002445455 1.7123386334 0.8660421590 -0.8090910331 0.3671440787
#> c2 c3 c4 c5 b1
#> -0.1082780010 -1.2327381821 1.0013552679 0.0309333757 0.4398116693
#> b2 b3 b4 b5
#> -0.1458602043 -0.1478051628 -0.5673799571 -0.4581484674
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2 c3
#> 2.5% -0.1960421 1.653901 0.7651300 -1.0294804 0.3023482 -0.17262039 -1.294049
#> 97.5% 0.1826738 1.766124 0.9914298 -0.6004137 0.4321175 -0.04491784 -1.167636
#> c4 c5 b1 b2 b3 b4
#> 2.5% 0.9340744 -0.03774836 0.3195707 -0.25379517 -0.28233350 -0.6964797
#> 97.5% 1.0647618 0.09023491 0.5479024 -0.02413627 -0.02725549 -0.4420452
#> b5
#> 2.5% -0.5820324
#> 97.5% -0.3302555
#>
#> $formula
#> y ~ .
#> <environment: 0x5616df0fe830>
#>
#> attr(,"class")
#> [1] "summary.hdlm"
# shiny app for HDLM
if (interactive()) {
shiny(hdlm.fit)
}
# The next two examples are for a mixture (or multivariate) exposure
# Treed distributed lag mixture model (TDLMM)
# Model for mixutre (or multivariate) lagged exposures
# with a homogenious exposure-time-response function
D <- sim.tdlmm(sim = "B", error = 25, n = 1000)
tdlmm.fit <- dlmtree(y ~ .,
data = D$dat, exposure.data = D$exposures,
control.mix = list(interactions = "noself"),
dlm.type = "linear", family = "gaussian",
mixture = TRUE)
#> Preparing data...
#>
#> Running TDLMM:
#> Burn-in % complete
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> MCMC iterations (est time: 4 seconds)
#> [0--------25--------50--------75--------100]
#> ''''''''''''''''''''''''''''''''''''''''''
#> Compiling results...
# summarize results
tdlmm.sum <- summary(tdlmm.fit)
#> Specified co-exposure values:
#> - e1 : 4.279363
#> - e2 : 4.57396
#> - e3 : 4.623083
#> - e4 : 4.238167
#> - e5 : 6.131547
#>
#> Reconstructing main effects...
#> Reconstructing interaction effects...
#> 0%...25%...50%...75%...Calculating marginal effects...
#> Calculating fixed effects...
# plot the marginal exposure-response for one exposure
plot(tdlmm.sum, exposure1 = "e1")
# plot exposure-response surface
plot(tdlmm.sum, exposure1 = "e1", exposure2 = "e2")
# heterogeneous version of TDLMM
D <- sim.hdlmm(sim = "D", n = 1000)
hdlmm.fit <- dlmtree(y ~ .,
data = D$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: 22 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] 0.1305443
#>
#> $n
#> [1] 1000
#>
#> $pip
#> PIP
#> mod_num 1.000
#> mod_bin 1.000
#> mod_scale 0.480
#> c1 0.495
#> c2 0.900
#> c3 0.510
#> c4 0.545
#> c5 0.500
#> b1 0.435
#> b2 0.525
#> b3 0.325
#> b4 0.470
#> b5 0.805
#>
#> $gamma.mean
#> (Intercept) mod_num mod_bin mod_scale c1
#> 0.0000408459 -0.1097132136 -0.4808581261 -0.4344021785 -1.7410130009
#> c2 c3 c4 c5 b1
#> -1.7480143149 -2.0467080262 0.2599015138 -0.7293877431 1.0846350237
#> b2 b3 b4 b5
#> -1.3850195467 2.0173293957 -0.3314154356 0.1519517615
#>
#> $gamma.ci
#> (Intercept) mod_num mod_bin mod_scale c1 c2
#> 2.5% -0.2356712 -0.2086844 -0.6430927 -0.6360352 -1.803458 -1.817836
#> 97.5% 0.2447792 -0.0147612 -0.3332860 -0.2192785 -1.685850 -1.684061
#> c3 c4 c5 b1 b2 b3 b4
#> 2.5% -2.116960 0.1938536 -0.7883051 0.9629671 -1.525780 1.883216 -0.4704337
#> 97.5% -1.981073 0.3319740 -0.6706479 1.2142027 -1.240009 2.159633 -0.2128302
#> b5
#> 2.5% -0.01059205
#> 97.5% 0.30134552
#>
#> $formula
#> y ~ .
#> <environment: 0x5616df0fe830>
#>
#> attr(,"class")
#> [1] "summary.hdlmm"
# summarize results
if (interactive()) {
shiny(hdlmm.fit)
}
# }