Apply Rolling Functions using Circular Statistical Tests for Uniformity

A generic function for applying a function to rolling margins of an array.

Usage

roll_normchisq(
  obs,
  prd,
  unc = NULL,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

roll_rayleigh(
  obs,
  prd,
  unc = NULL,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

roll_dispersion(
  x,
  y,
  w = NULL,
  w.y = NULL,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

roll_confidence(
  x,
  conf.level = 0.95,
  w = NULL,
  axial = TRUE,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

roll_dispersion_CI(
  x,
  y,
  w = NULL,
  w.y = NULL,
  R,
  conf.level = 0.95,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

roll_dispersion_sde(
  x,
  y,
  w = NULL,
  w.y = NULL,
  R,
  conf.level = 0.95,
  width = NULL,
  by.column = FALSE,
  partial = TRUE,
  fill = NA,
  ...
)

Arguments

obs

Numeric vector containing the observed azimuth of \(\sigma_{Hmax}\), same length as prd

prd

Numeric vector containing the modeled azimuths of \(\sigma_{Hmax}\), i.e. the return object from model_shmax()

unc

Uncertainty of observed \(\sigma_{Hmax}\), either a numeric vector or a number

width

integer specifying the window width (in numbers of observations) which is aligned to the original sample according to the align argument. If NULL, an optimal width is estimated.

by.column

logical. If TRUE, FUN is applied to each column separately.

partial

logical or numeric. If FALSE then FUN is only applied when all indexes of the rolling window are within the observed time range. If TRUE (default), then the subset of indexes that are in range are passed to FUN. A numeric argument to partial can be used to determine the minimal window size for partial computations. See below for more details.

fill

a three-component vector or list (recycled otherwise) providing filling values at the left/within/to the right of the data range. See the fill argument of zoo::na.fill() for details

...

optional arguments passed to zoo::rollapply()

x, y

numeric. Directions in degrees

w, w.y

(optional) Weights of x and y, respectively. A vector of positive numbers and of the same length as x.

conf.level

Level of confidence: \((1 - \alpha \%)/100\). (0.95 by default).

axial

logical. Whether the data are axial, i.e. pi-periodical (TRUE, the default) or directional, i.e. \(2 \pi\)-periodical (FALSE).

R

The number of bootstrap replicates.

Value

numeric vector with the test statistic of the rolling test. roll_dispersion_CI returns a 2-column matrix with the lower and the upper confidence limits

Note

If the rolling functions are applied to values that are a function of distance it is recommended to sort the values first.

Examples

data("plates")
plate_boundary <- subset(plates, plates$pair == "na-pa")
data("san_andreas")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
distance <- distance_from_pb(
  x = san_andreas,
  PoR = PoR,
  pb = plate_boundary,
  tangential = TRUE
)
dat <- san_andreas[order(distance), ]
dat.PoR <- PoR_shmax(san_andreas, PoR, "right")
roll_normchisq(dat.PoR$azi.PoR, 135, dat$unc)
#>    [1] 0.212113110 0.202887732 0.194371134 0.191274209 0.183838521 0.294356395
#>    [7] 0.278116904 0.271853922 0.268274264 0.259751652 0.145568168 0.143219433
#>   [13] 0.173195798 0.172032164 0.169330811 0.168220825 0.201936707 0.191790676
#>   [19] 0.194154828 0.383387888 0.412221161 0.414151397 0.426755504 0.375922991
#>   [25] 0.379064969 0.384601558 0.385701487 0.402870725 0.437368049 0.484418547
#>   [31] 0.487938766 0.486518265 0.488811625 0.496560370 0.498238580 0.502719103
#>   [37] 0.465905594 0.476443802 0.477764995 0.478696203 0.486103976 0.778415108
#>   [43] 0.767802542 0.736398444 0.737886920 0.756794188 0.783399490 0.736861359
#>   [49] 0.736221091 0.722011057 0.499739450 0.459607144 0.456043845 0.442298915
#>   [55] 0.455521057 0.449260580 0.437020681 0.429212837 0.402661909 0.397502312
#>   [61] 0.372886543 0.366481274 0.375882589 0.378057801 0.369212457 0.363223409
#>   [67] 0.411776313 0.403851231 0.443091835 0.442067853 0.435584377 0.480446676
#>   [73] 0.463477822 0.492783166 0.548370137 0.537967842 0.514381537 0.467193232
#>   [79] 0.468115705 0.487575605 0.567980091 0.567786668 0.560583892 0.580578252
#>   [85] 0.582244637 0.590588062 0.612898980 0.593532863 0.575487593 0.550644349
#>   [91] 0.474320373 0.470870392 0.181530116 0.182157803 0.182793155 0.184089048
#>   [97] 0.199625866 0.200534274 0.199748805 0.184246014 0.184250303 0.184930262
#>  [103] 0.173619537 0.467318756 0.097855789 0.096833628 0.096758082 0.096779828
#>  [109] 0.084770999 0.084810847 0.086691827 0.093666483 0.091077194 0.091583771
#>  [115] 0.209268325 0.200085718 0.200015844 0.199933756 0.202727531 0.198905326
#>  [121] 0.199066218 0.191519509 0.190637809 0.190321580 0.190072219 0.190046746
#>  [127] 0.193268174 0.195267732 0.193878288 0.194003392 0.192547075 0.190945094
#>  [133] 0.182671077 0.166426838 0.137837323 0.185736495 0.181576218 0.181623204
#>  [139] 0.178340854 0.200520407 0.200370545 0.198393709 0.201344068 0.321356697
#>  [145] 0.318573692 0.194084622 0.321208519 0.283859943 0.268960384 0.260173879
#>  [151] 0.259025582 0.283756999 0.296900191 0.284040889 0.268405031 0.309980690
#>  [157] 0.393070273 0.390376895 0.387707014 0.371863784 0.366376031 0.368381909
#>  [163] 0.371157395 0.381656893 0.422877322 0.448587662 0.461563884 0.617634088
#>  [169] 0.644239803 0.638272715 0.608692178 0.594362357 0.583175780 0.592314753
#>  [175] 0.526703600 0.531635055 0.531065782 0.454398383 0.505517272 0.505710867
#>  [181] 0.510778394 0.513477348 0.489928198 0.504676955 0.543353143 0.618990674
#>  [187] 0.546457077 0.283378614 0.269543798 0.269532004 0.289713967 0.294027378
#>  [193] 0.299124515 0.281022650 0.282981215 0.272544978 0.280862457 0.278167252
#>  [199] 0.148719260 0.120771077 0.120338214 0.114944073 0.116643818 0.118991055
#>  [205] 0.118979198 0.117338601 0.108632414 0.108648493 0.109401544 0.108295816
#>  [211] 0.120253119 0.120665325 0.120346414 0.120208384 0.107531050 0.099150435
#>  [217] 0.098307487 0.097104316 0.109224209 0.108501336 0.109212726 0.097887661
#>  [223] 0.097760700 0.131682263 0.127198048 0.126594480 0.126866293 0.124959932
#>  [229] 0.127327609 0.124089508 0.123651510 0.125650548 0.133796513 0.134712154
#>  [235] 0.133244435 0.133215022 0.135937170 0.146986676 0.146866367 0.146488510
#>  [241] 0.145592616 0.142687599 0.142742775 0.135572475 0.135740478 0.135837891
#>  [247] 0.135901486 0.167587356 0.167022533 0.166877600 0.150184619 0.147960641
#>  [253] 0.147832450 0.153073727 0.034241301 0.043987026 0.041133666 0.045016023
#>  [259] 0.029387677 0.019530528 0.019625720 0.021194013 0.021188567 0.021480243
#>  [265] 0.032114501 0.032432918 0.032574630 0.032094184 0.032637951 0.032659209
#>  [271] 0.032712332 0.033809924 0.034044024 0.033410910 0.065030987 0.064508384
#>  [277] 0.063810656 0.063595372 0.063843278 0.070109927 0.070112313 0.072555045
#>  [283] 0.072354867 0.072349014 0.072339578 0.072338879 0.072363072 0.075421055
#>  [289] 0.074638733 0.103123109 0.103196729 0.103117357 0.110156332 0.110077171
#>  [295] 0.109942561 0.174249849 0.185403627 0.172348101 0.173581906 0.178638355
#>  [301] 0.179915174 0.179804377 0.178659947 0.178550400 0.193393170 0.079726047
#>  [307] 0.083162426 0.088986878 0.089987208 0.090708950 0.044184245 0.043805942
#>  [313] 0.044275727 0.051256827 0.054280973 0.056723971 0.057006445 0.057024154
#>  [319] 0.045835845 0.061350598 0.061355662 0.060414570 0.060242759 0.060145468
#>  [325] 0.060716532 0.057544074 0.043479564 0.044057570 0.057605838 0.068953270
#>  [331] 0.023402491 0.022731157 0.025361860 0.025247665 0.025610876 0.024942575
#>  [337] 0.024889904 0.025095747 0.025221429 0.025221163 0.018898533 0.019099054
#>  [343] 0.018817332 0.019287795 0.016158609 0.059201718 0.057794911 0.057785203
#>  [349] 0.056971576 0.055134132 0.056656713 0.053398282 0.053358417 0.053423282
#>  [355] 0.305552185 0.305494751 0.289217130 0.290927689 0.290664853 0.279505534
#>  [361] 0.282409402 0.372941246 0.371514475 0.347490327 0.348380001 0.349930630
#>  [367] 0.350031997 0.309670977 0.323921363 0.323556230 0.323576086 0.368797982
#>  [373] 0.368700267 0.368681749 0.368298523 0.364727096 0.383213100 0.412889727
#>  [379] 0.413609332 0.424336514 0.424456922 0.409000526 0.478855669 0.478237911
#>  [385] 0.477968253 0.111350289 0.111446324 0.121412715 0.130932866 0.130450553
#>  [391] 0.096541271 0.083896406 0.082550827 0.082700996 0.106564433 0.108150175
#>  [397] 0.106892607 0.106838970 0.117192212 0.102159628 0.091295626 0.082293558
#>  [403] 0.082321183 0.083474853 0.079820626 0.079722173 0.078424027 0.075309335
#>  [409] 0.054574060 0.054132812 0.073536617 0.073440710 0.072751541 0.072506054
#>  [415] 0.072395455 0.067600087 0.069689642 0.069626645 0.064027803 0.060294445
#>  [421] 0.060278964 0.067165384 0.070163177 0.066617502 0.066660386 0.053088715
#>  [427] 0.052121484 0.052027658 0.052008474 0.052033966 0.045941301 0.049352526
#>  [433] 0.052041590 0.050534719 0.048920737 0.050710902 0.047118963 0.047346516
#>  [439] 0.048624917 0.052694659 0.050912226 0.022063042 0.022937341 0.023135836
#>  [445] 0.023192022 0.023455766 0.029699933 0.030654058 0.030668014 0.029886504
#>  [451] 0.029943734 0.030002912 0.028843716 0.028983308 0.037637707 0.035460452
#>  [457] 0.035509440 0.035495685 0.035509671 0.035434351 0.036705752 0.038576971
#>  [463] 0.038174449 0.038971136 0.025849892 0.025801431 0.025795727 0.025446645
#>  [469] 0.026106697 0.034719640 0.035187749 0.035398022 0.040384757 0.039993041
#>  [475] 0.040037036 0.038308519 0.038202359 0.036570987 0.036469384 0.034110094
#>  [481] 0.034831107 0.035328786 0.035340419 0.035356388 0.035254695 0.027935286
#>  [487] 0.029563912 0.029507880 0.039612408 0.039656618 0.039360993 0.038183180
#>  [493] 0.037986861 0.038351029 0.038280550 0.069963362 0.070139578 0.070080361
#>  [499] 0.069886358 0.068248819 0.053254763 0.048582827 0.048032886 0.034673985
#>  [505] 0.034627179 1.109408405 1.172323118 1.142208165 1.143143801 1.094397483
#>  [511] 1.241451641 1.259235282 1.116988287 1.116796131 1.116340003 1.116391737
#>  [517] 0.834011238 0.834087421 0.833580528 0.848209596 0.847206859 0.852490728
#>  [523] 0.845788115 0.845787559 0.845779417 0.865648203 0.867703206 0.867702810
#>  [529] 0.867976719 0.868874252 0.874713939 0.871053993 0.905402372 0.910107530
#>  [535] 0.948129438 0.947844817 0.138754551 0.121892381 0.119428372 0.119367134
#>  [541] 0.107910229 0.106041608 0.093452425 0.095900257 0.090784097 0.090708824
#>  [547] 0.090660487 0.021169811 0.020821943 0.019933922 0.012927974 0.019922453
#>  [553] 0.019888626 0.019869816 0.019882661 0.019897311 0.019557810 0.019481845
#>  [559] 0.021177381 0.021176608 0.021404218 0.021443012 0.021570845 0.021398550
#>  [565] 0.021408194 0.021407940 0.020313135 0.020311609 0.020979634 0.020848079
#>  [571] 0.020889631 0.020944770 0.022202222 0.025248450 0.023800285 0.025014757
#>  [577] 0.025053947 0.025488200 0.023906389 0.023926987 0.022716892 0.022070407
#>  [583] 0.017488215 0.017544325 0.017802266 0.012931335 0.012983706 0.013385038
#>  [589] 0.013384990 0.010226885 0.010229248 0.009887777 0.009853797 0.009846015
#>  [595] 0.009821570 0.009817272 0.009812437 0.010472673 0.009796486 0.010198618
#>  [601] 0.009969114 0.009957421 0.010498231 0.008968123 0.008972853 0.008873847
#>  [607] 0.009214391 0.009202718 0.008788489 0.009777368 0.009766671 0.010115408
#>  [613] 0.011260678 0.011041850 0.012135801 0.011872228 0.016479838 0.019034174
#>  [619] 0.019031888 0.019044423 0.019463830 0.019547341 0.019699345 0.020998084
#>  [625] 0.021387038 0.021482945 0.021541286 0.021562606 0.019815413 0.021557093
#>  [631] 0.021572065 0.022300808 0.022287260 0.024488781 0.022305905 0.022298545
#>  [637] 0.022544478 0.023450909 0.022001188 0.022010973 0.022397840 0.022399426
#>  [643] 0.022356213 0.021111448 0.019097606 0.017310379 0.017932576 0.016510641
#>  [649] 0.012296010 0.012299249 0.012556051 0.012518957 0.012401294 0.011906547
#>  [655] 0.009105927 0.007240448 0.006731782 0.006641980 0.006666364 0.007551663
#>  [661] 0.007551894 0.007576769 0.007550225 0.007441747 0.008876990 0.011914413
#>  [667] 0.011189773 0.011620052 0.011596385 0.011670125 0.011663400 0.011337954
#>  [673] 0.011393880 0.010349263 0.010346770 0.009698349 0.009933200 0.009428893
#>  [679] 0.009411084 0.009412039 0.009421085 0.008959784 0.011063046 0.011025788
#>  [685] 0.011225089 0.011240645 0.012738688 0.013098823 0.012930378 0.012927212
#>  [691] 0.013000231 0.013315794 0.013439736 0.013528541 0.013603630 0.012763409
#>  [697] 0.010592569 0.011192462 0.008530248 0.008541647 0.008554837 0.008550678
#>  [703] 0.008734768 0.008866944 0.009467062 0.009477612 0.009449255 0.009479755
#>  [709] 0.018534024 0.018195604 0.018194559 0.018185740 0.017408777 0.018031233
#>  [715] 0.036360816 0.036395658 0.022957016 0.022957389 0.036857232 0.038390234
#>  [721] 0.037589686 0.037581758 0.037453343 0.037433024 0.037411495 0.037379545
#>  [727] 0.036149022 0.036301818 0.036506641 0.040304767 0.040355036 0.040352224
#>  [733] 0.040362220 0.043531100 0.040783314 0.040447301 0.040444712 0.042557017
#>  [739] 0.042557210 0.039571849 0.040282654 0.040283690 0.037989521 0.038846742
#>  [745] 0.039135186 0.030052612 0.030030049 0.053705396 0.054142064 0.033589953
#>  [751] 0.034493361 0.035754822 0.032560244 0.032582845 0.032624566 0.032647589
#>  [757] 0.032860725 0.034664475 0.034615687 0.034648715 0.033813059 0.033816900
#>  [763] 0.034712437 0.033611243 0.033608195 0.036068642 0.035661568 0.035178472
#>  [769] 0.032923527 0.030922952 0.030215558 0.030128912 0.030128303 0.030450428
#>  [775] 0.029453366 0.030705613 0.031143731 0.031161207 0.027482938 0.026772456
#>  [781] 0.026370613 0.026390864 0.025425725 0.027287094 0.026082984 0.020684461
#>  [787] 0.507417576 0.501803719 0.410825093 0.405075223 0.389955590 0.397060798
#>  [793] 0.397065734 0.472886454 0.461622138 0.465891191 0.460326626 0.460404776
#>  [799] 0.447425047 0.456711953 0.480426722 0.480349911 0.481209823 0.481310034
#>  [805] 0.492163072 0.504214497 0.531132352 0.530865252 0.517489198 0.489496583
#>  [811] 0.489487202 0.482139817 0.476539457 0.465802610 0.481866977 0.482123655
#>  [817] 0.585919810 0.065251093 0.065117585 0.094029614 0.102048275 0.109111488
#>  [823] 0.107528344 0.107606527 0.109463339 0.119275343 0.120137757 0.123734479
#>  [829] 0.120497438 0.137692084 0.137628577 0.137833152 0.137740820 0.137738764
#>  [835] 0.137659250 0.138078989 0.137822719 0.129480731 0.114796694 0.120862162
#>  [841] 0.138216285 0.129753417 0.110575192 0.109186721 0.109234768 0.043717692
#>  [847] 0.045659864 0.046226226 0.040563497 0.038672403 0.038792153 0.023245070
#>  [853] 0.023084563 0.023377572 0.023336280 0.016770302 0.013041901 0.015523460
#>  [859] 0.015382471 0.005220235 0.049214550 0.048965054 0.057172775 0.069226857
#>  [865] 0.069226068 0.067342594 0.066592073 0.066692875 0.068998502 0.074187148
#>  [871] 0.069215567 0.069248183 0.077618638 0.085052089 0.091157646 0.092738561
#>  [877] 0.093513219 0.098656660 0.098790106 0.106810062 0.131488848 0.131489312
#>  [883] 0.142464315 0.144199322 0.144195283 0.141916968 0.141976540 0.144201294
#>  [889] 0.149092184 0.151007812 0.210979191 0.158349255 0.155944621 0.095584642
#>  [895] 0.082299859 0.082323545 0.081907007 0.082370671 0.082399551 0.081258766
#>  [901] 0.082385148 0.089445127 0.089420596 0.077565727 0.069303665 0.067497243
#>  [907] 0.066128546 0.064994307 0.055711778 0.056651231 0.052103564 0.030565450
#>  [913] 0.030555171 0.030185218 0.030213599 0.030189833 0.029892398 0.029814208
#>  [919] 0.025403173 0.016976178 0.016361099 0.013729537 0.012793600 0.013065146
#>  [925] 0.018909610 0.018508873 0.018476851 0.018996781 0.017461062 0.021288170
#>  [931] 0.021247547 0.019600641 0.017785886 0.017895812 0.017147795 0.019021346
#>  [937] 0.010891262 0.011581427 0.011339998 0.012116455 0.012933085 0.014523321
#>  [943] 0.014893466 0.014901474 0.015228014 0.015146509 0.016117989 0.013855187
#>  [949] 0.014052942 0.013401402 0.013408432 0.014055014 0.013314555 0.013326725
#>  [955] 0.013369823 0.013807406 0.013476894 0.013265202 0.013851224 0.013303718
#>  [961] 0.012059513 0.012774541 0.012801688 0.013880671 0.013768745 0.013637964
#>  [967] 0.013886154 0.014172604 0.014164970 0.014424554 0.014406380 0.015752765
#>  [973] 0.016365729 0.010555052 0.010549257 0.010542991 0.010563940 0.009974557
#>  [979] 0.010954694 0.010767869 0.011132345 0.011118580 0.011254316 0.011752517
#>  [985] 0.011732186 0.012292265 0.012288616 0.012422320 0.012357110 0.012063179
#>  [991] 0.012779527 0.009415793 0.007887472 0.011879762 0.011728212 0.011711151
#>  [997] 0.011524469 0.011273704 0.011304282 0.010399841 0.010749854 0.010755901
#> [1003] 0.008466060 0.008438620 0.017529192 0.017502895 0.023830302 0.022931711
#> [1009] 0.022607142 0.022519517 0.022120293 0.021737729 0.021703069 0.018391152
#> [1015] 0.018371714 0.018384773 0.017665107 0.017559397 0.017469085 0.020641359
#> [1021] 0.022817783 0.022931296 0.022730871 0.022704981 0.020230670 0.021319278
#> [1027] 0.021437139 0.021773355 0.022472710 0.021435757 0.025682222 0.025562455
#> [1033] 0.048562659 0.052251018 0.055610382 0.055843034 0.056492099 0.043893518
#> [1039] 0.045259663 0.046333733 0.046487106 0.047279748 0.048245088 0.048334013
#> [1045] 0.061297572 0.061321883 0.061149391 0.057745218 0.056285987 0.056742908
#> [1051] 0.063275290 0.061185026 0.061005725 0.062374995 0.063136606 0.063469420
#> [1057] 0.076699038 0.304901842 0.306821357 0.276818493 0.293266588 0.293467725
#> [1063] 0.293475225 0.274243984 0.276209107 0.287457962 0.258620569 0.266034249
#> [1069] 0.353968572 0.355182622 0.355330085 0.354984359 0.355049124 0.355624856
#> [1075] 0.349567578 0.359175973 0.357703391 0.359563937 0.392012085 0.593729661
#> [1081] 0.594118661 0.623995208 0.619953873 0.548113932 0.547544335 0.506728982
#> [1087] 0.507906368 0.489559554 0.029539883 0.029497895 0.035535537 0.035522925
#> [1093] 0.035582809 0.037183158 0.036609378 0.036356371 0.042487959 0.069844936
#> [1099] 0.052344877 0.051998146 0.051895741 0.050827092 0.050684763 0.050504436
#> [1105] 0.050386122 0.051237177 0.044887707 0.045107780 0.044999874 0.045014867
#> [1111] 0.045417006 0.045222134 0.045307093 0.045362192 0.040360691 0.040398746
#> [1117] 0.041696857 0.041333666 0.041335342 0.042481211 0.042494646 0.042498546
#> [1123] 0.042513077 0.042526917 0.041470108 0.041992754
roll_rayleigh(dat.PoR$azi.PoR, prd = 135, unc = dat$unc)
#>    [1]  3.8009764  4.0226760  4.2380555  4.4099119  4.6065235  4.3714409
#>    [7]  4.5914168  4.6583924  4.8139448  4.9883592  5.4040862  5.5514338
#>   [13]  5.3842543  5.5198352  5.6629531  5.7944885  5.7920433  5.8715048
#>   [19]  5.7365628  5.3401647  5.1651306  5.0517911  4.8413528  4.9274619
#>   [25]  4.7635791  4.5630733  4.4684131  4.1253941  3.3071079  2.6315681
#>   [31]  2.6202078  2.5256101  2.3862497  2.0452256  1.8081098  1.7420908
#>   [37]  1.7561172  1.4711534  1.3988999  1.1913153  0.9117866 -0.3555533
#>   [43] -0.8468881 -0.6150325 -0.8998120 -1.3439022 -1.6088334 -1.3654822
#>   [49] -1.7052663 -1.7074872 -1.8996364 -1.8832294 -1.7240610 -1.4962313
#>   [55] -1.6273428 -1.3793343 -1.0003154 -0.7829102 -0.4573933 -0.1679062
#>   [61]  0.3319550  0.4419941  0.3197847  0.3958559  0.7331636  0.8780610
#>   [67]  0.6185992  0.7816866  0.7061735  0.7402943  0.9284942  0.9745793
#>   [73]  1.3174197  1.4955802  1.2901774  1.5226626  1.9318737  2.2137680
#>   [79]  2.1764974  2.3151255  2.2764264  2.6163754  2.5755341  2.3904659
#>   [85]  2.3045676  2.3481864  2.1456383  2.1634972  1.9233589  1.9407670
#>   [91]  2.3895759  2.2590101  2.9871814  2.9385450  2.8621256  2.7105774
#>   [97]  2.5883807  2.6088031  2.6768977  2.8037697  2.8034223  2.7495199
#>  [103]  2.7973852  2.4043876  4.1949300  4.2185403  4.2445336  4.2303724
#>  [109]  4.6532631  4.6417300  4.6202906  4.4301379  4.6265096  4.6225954
#>  [115]  4.2111958  4.3802486  4.3900007  4.4065036  4.3206782  4.5133678
#>  [121]  4.4718770  4.5781399  4.5382138  4.5531414  4.6171305  4.6004821
#>  [127]  4.5622835  4.5739655  4.6459593  4.6054084  4.4955973  4.4581585
#>  [133]  4.6622627  4.9116454  5.1501747  4.9811575  5.1260698  5.1365586
#>  [139]  5.2180121  4.9974242  5.0097473  4.9900926  5.2688944  4.7377888
#>  [145]  4.6302708  4.9397708  4.3951228  4.5739419  4.7163280  4.7995703
#>  [151]  4.7458676  4.6339771  4.5325645  4.7490686  4.7988492  4.4655326
#>  [157]  3.6562290  3.7101564  3.7302489  3.8812893  4.0037114  4.0969292
#>  [163]  4.1337400  4.0646491  3.8082626  3.7186493  3.5836843  2.8153276
#>  [169]  2.6943621  2.7120204  2.9494237  3.0457450  3.2046682  3.1090165
#>  [175]  3.3922747  3.4902634  3.5002593  3.8898340  3.7102528  3.7035249
#>  [181]  3.6926022  3.5848176  3.6915523  3.2566035  2.6641942  2.3550632
#>  [187]  2.6387663  3.9603919  3.8997411  3.9030530  3.3096557  3.1690856
#>  [193]  3.0657300  3.1877370  3.0977797  3.3075035  3.2093643  3.3196080
#>  [199]  3.8147027  3.9639597  3.9912302  4.0876904  4.0094032  3.8856049
#>  [205]  3.8779476  3.8906229  4.1375792  4.1406827  4.0786673  4.1330898
#>  [211]  3.8358787  3.8249739  3.8638971  3.9068860  4.3151790  4.6597781
#>  [217]  4.6367291  4.7240679  4.5294751  4.5913215  4.5545997  4.9631215
#>  [223]  4.9519489  4.8064988  4.9818695  5.0521134  5.0354564  5.1132269
#>  [229]  4.9108475  5.0906146  5.0684684  4.9812177  4.8081048  4.7097979
#>  [235]  4.7909888  4.8145308  4.8359045  4.6127392  4.6337184  4.6620357
#>  [241]  4.7299463  5.1989153  5.2007142  5.3444722  5.3338479  5.3252377
#>  [247]  5.2844215  5.5015278  5.5255112  5.5455934  5.7551720  5.8491415
#>  [253]  6.0020518  6.1174180  6.5234566  6.3602492  6.3921143  6.2946823
#>  [259]  6.4448536  6.7966594  6.8114712  6.8533523  6.8478396  6.7917062
#>  [265]  6.7404954  6.7075524  6.6598850  6.7257824  6.6669084  6.6578756
#>  [271]  6.6295432  6.4770914  6.4388020  6.4832943  5.5900415  5.6350102
#>  [277]  5.6712163  5.7114254  5.6906987  5.4507144  5.4494494  5.3295135
#>  [283]  5.3454593  5.3525603  5.3547087  5.3552503  5.3456483  5.1685158
#>  [289]  5.2273976  4.8435326  4.8154384  4.8447797  4.7389620  4.7622459
#>  [295]  4.8065019  4.5463786  4.4241465  4.6735601  4.6195776  4.5683549
#>  [301]  4.4876173  4.4983557  4.6046901  4.6280836  4.3576261  5.7232844
#>  [307]  5.5892988  5.5149225  5.5042458  5.4000509  6.0223710  6.0223765
#>  [313]  5.9665208  5.5987915  5.3564325  5.1505135  5.1138704  5.1103264
#>  [319]  5.0085920  4.6437797  4.6433233  4.6966844  4.7119321  4.7157422
#>  [325]  4.6671438  4.7847877  5.1229254  5.0623514  4.7574908  4.4417549
#>  [331]  5.2992143  5.3947561  5.3778455  5.4403788  5.3798895  5.4842229
#>  [337]  5.4866558  5.4570075  5.4213632  5.4214112  5.8848058  5.8226374
#>  [343]  5.8753628  5.8043577  6.0539036  5.4366530  5.6232333  5.6250911
#>  [349]  5.6910975  5.8843457  5.7608881  5.8220522  5.8227703  5.8049625
#>  [355]  4.9867964  4.9997023  5.0602877  4.9949903  5.0040544  4.9016182
#>  [361]  4.7081617  4.3697564  4.4010450  4.6335955  4.6560831  4.5168836
#>  [367]  4.4962629  4.6785073  4.5721647  4.5907592  4.5864138  4.3203966
#>  [373]  4.3487244  4.3525835  4.4144862  4.4926596  4.8223725  4.6072003
#>  [379]  4.5141123  4.3300917  4.3092235  4.3643801  4.0725588  4.0752610
#>  [385]  4.0270745  5.0890504  5.0727695  4.9485478  4.6600107  4.7073769
#>  [391]  5.1278626  5.5212425  5.5261505  5.5172344  4.8883286  4.8219275
#>  [397]  4.9544374  4.9671266  4.8137452  4.8702730  5.0951356  5.2974942
#>  [403]  5.2904915  5.2072759  5.3086130  5.3054001  5.3092237  5.5116452
#>  [409]  5.7886769  5.8733741  5.5431171  5.5685278  5.6233304  5.6812941
#>  [415]  5.7106238  5.8619170  5.8214917  5.8388886  5.9116969  6.0579533
#>  [421]  6.0592698  5.9028421  5.8549426  5.9290847  5.9230339  6.3124099
#>  [427]  6.3474396  6.3716859  6.3712742  6.3643525  6.5751830  6.5007522
#>  [433]  6.4601874  6.4942431  6.6023313  6.5608226  6.6105368  6.6273024
#>  [439]  6.5761570  6.4768645  6.4865114  7.0665177  6.9775035  6.9641207
#>  [445]  6.9480952  6.8983426  6.7321134  6.6822771  6.6779595  6.7127365
#>  [451]  6.7156996  6.7047992  6.7996299  6.7597677  6.5224451  6.5989475
#>  [457]  6.5849203  6.5894026  6.5869443  6.5986038  6.4840011  6.3813298
#>  [463]  6.4122144  6.3683980  6.5743925  6.5894757  6.5919376  6.5681454
#>  [469]  6.5152736  6.2765037  6.2100109  6.1938699  5.9196503  5.9591129
#>  [475]  5.9525355  6.0615951  6.0890482  6.1133293  6.1052318  6.2097769
#>  [481]  6.1809807  6.1279722  6.1228966  6.1150307  6.1530538  6.3925301
#>  [487]  6.2769506  6.2963480  5.9149510  5.8893967  5.9197568  6.0435746
#>  [493]  6.0937706  6.0500252  6.0659017  5.6712061  5.6561466  5.6631532
#>  [499]  5.6959052  5.8103003  6.1041841  6.2856934  6.3124484  6.7350445
#>  [505]  6.7526662  5.3328362  5.1405278  5.0268745  5.0189827  4.7556008
#>  [511]  4.4177674  4.3226462  4.3877324  4.3986242  4.3864751  4.3668415
#>  [517]  3.8415608  3.8105495  3.7572457  3.8662737  3.8781533  3.8024873
#>  [523]  3.8666592  3.8669390  3.8710016  3.8494432  3.7952255  3.7954264
#>  [529]  3.7886763  3.7566070  3.6692659  3.7549840  3.5687315  3.4964709
#>  [535]  3.2568993  3.2375962  4.1988463  4.5693362  4.7583546  4.7700245
#>  [541]  5.2514401  5.3371316  5.5836408  5.5720161  5.7076844  5.7361211
#>  [547]  5.7548146  6.6747571  6.7497126  6.8631356  7.1661126  7.1387319
#>  [553]  7.1485276  7.1565607  7.1518178  7.1455294  7.1632663  7.1938532
#>  [559]  7.1243076  7.1246500  7.0777273  7.0619296  7.0390366  7.0502095
#>  [565]  7.0460241  7.0461354  7.1269183  7.1275790  7.1144270  7.1290320
#>  [571]  7.1121483  7.1153566  7.0263736  6.9309307  7.0871336  7.0436547
#>  [577]  7.0279752  6.9580967  7.0237809  7.0159088  7.0656248  7.0976603
#>  [583]  7.1509228  7.1410032  7.1292656  7.2159603  7.1969760  7.1645965
#>  [589]  7.1646158  7.2538084  7.2529136  7.3176402  7.3294604  7.3322882
#>  [595]  7.3179973  7.3196388  7.3206736  7.2748887  7.3174353  7.2991035
#>  [601]  7.3233897  7.3274025  7.3257412  7.4034295  7.4018951  7.4081226
#>  [607]  7.3980110  7.4022894  7.4617420  7.4152313  7.4204160  7.4001328
#>  [613]  7.3293784  7.3505013  7.3083542  7.3266798  7.2145352  7.1344373
#>  [619]  7.1350243  7.1317982  7.1037351  7.0812793  7.0446435  7.0015216
#>  [625]  6.9658445  6.9466617  6.9322029  6.9297692  6.9919821  6.9360314
#>  [631]  6.9359679  6.9003473  6.9056706  6.8582123  6.9300305  6.9322142
#>  [637]  6.9304316  6.9077198  6.9572920  6.9567223  6.9482702  6.9479116
#>  [643]  6.9515005  6.9935996  7.0317215  7.0920071  7.0703310  7.1323816
#>  [649]  7.2797165  7.2789652  7.2730728  7.2837739  7.3123880  7.3768361
#>  [655]  7.4707400  7.5723437  7.6294476  7.6501233  7.6365569  7.6158299
#>  [661]  7.6157762  7.6108354  7.6129484  7.6322914  7.5873973  7.5016922
#>  [667]  7.5143056  7.4995119  7.5017914  7.5094576  7.5094771  7.5213549
#>  [673]  7.5083260  7.5325271  7.5330840  7.5505605  7.5385226  7.5552273
#>  [679]  7.5590298  7.5588248  7.5559471  7.5811102  7.5295479  7.5335849
#>  [685]  7.5246211  7.5207986  7.4726008  7.4616877  7.4511248  7.4583928
#>  [691]  7.4391162  7.3663752  7.3477930  7.3296255  7.3097192  7.3415716
#>  [697]  7.4108679  7.3971049  7.4579196  7.4555783  7.4519224  7.4530845
#>  [703]  7.4476299  7.4561684  7.4312272  7.4280077  7.4350087  7.4258956
#>  [709]  7.0402301  7.0571351  7.0574578  7.0617424  7.0996892  7.0676126
#>  [715]  6.6694506  6.6590329  6.8520923  6.8519431  6.4305917  6.4084765
#>  [721]  6.4571987  6.4603093  6.5054280  6.5144783  6.5233250  6.5363200
#>  [727]  6.5787558  6.5313991  6.5025455  6.3873817  6.3777570  6.3789345
#>  [733]  6.3747429  6.3085812  6.3705281  6.3935731  6.3946285  6.3109566
#>  [739]  6.3108785  6.4748622  6.4334581  6.4330104  6.4986892  6.4482782
#>  [745]  6.4177039  6.7154107  6.7251182  6.3305818  6.2873680  6.7493642
#>  [751]  6.7021584  6.6349968  6.7169008  6.7089179  6.6943423  6.6861496
#>  [757]  6.6430666  6.5652724  6.5788202  6.5680785  6.5948828  6.5935242
#>  [763]  6.5726374  6.6268463  6.6166343  6.5336046  6.5536120  6.5728196
#>  [769]  6.6475080  6.7146698  6.7650154  6.7794236  6.7796937  6.7856605
#>  [775]  6.8289457  6.7951435  6.7144060  6.7071984  6.8298957  6.8626300
#>  [781]  6.8792728  6.8835163  6.9079361  6.8299008  6.8912380  7.0015796
#>  [787]  6.0163438  6.0122154  6.2204126  6.1425868  6.1444583  6.0989032
#>  [793]  6.0960645  6.0523843  5.9953897  5.9809299  6.0119639  6.0050568
#>  [799]  6.0646252  6.0470109  5.9603972  5.9635782  5.9491881  5.9455451
#>  [805]  5.8887041  5.8061717  5.7950246  5.8853181  5.9732814  6.0823911
#>  [811]  6.0870659  5.9101223  5.9091390  5.9880310  5.4746408  5.4577417
#>  [817]  5.2707270  6.1122283  6.1476002  5.8914181  5.6630705  5.6189255
#>  [823]  5.6917900  5.6717819  5.5205792  5.3648829  5.3234466  5.2409763
#>  [829]  5.1513716  4.9276129  4.9311062  4.9119471  4.9191467  4.9197661
#>  [835]  4.9279994  4.9067226  4.9284386  5.0788600  5.2524574  5.1451191
#>  [841]  4.9257758  5.0964128  5.5027153  5.5709099  5.5690717  6.3996033
#>  [847]  6.3505896  6.3516898  6.4629921  6.5251098  6.5305634  6.9956120
#>  [853]  7.0212710  7.0015348  7.0204503  7.2546561  7.4319928  7.3177294
#>  [859]  7.3364381  7.5758512  6.6373203  6.6380954  6.2967852  5.8571844
#>  [865]  5.8575150  5.9140999  5.9521732  5.9288108  5.8269399  5.7064296
#>  [871]  5.8056184  5.7949902  5.5020401  5.2531486  4.9733900  4.9279397
#>  [877]  4.8748128  4.6501529  4.6413348  4.4356018  3.8468806  3.8466965
#>  [883]  3.5913827  3.5047372  3.5063687  3.5980838  3.5747958  3.4337303
#>  [889]  3.2399646  3.1314247  2.6243872  3.4856680  3.5559170  4.4347422
#>  [895]  4.9040235  4.8947864  4.9147451  4.8681764  4.8584188  4.9539017
#>  [901]  4.9069266  4.6968216  4.7060324  5.0263494  5.3119712  5.3353762
#>  [907]  5.3805053  5.4404286  5.8042262  5.7551186  5.8891916  6.3736754
#>  [913]  6.3778774  6.4150494  6.4042961  6.4086547  6.4235896  6.4520053
#>  [919]  6.6805534  7.0121062  7.0574686  7.1278540  7.1632384  7.1481292
#>  [925]  7.0632833  7.0661868  7.0761729  7.0612988  7.1363275  7.0285576
#>  [931]  7.0212068  7.0860690  7.1559677  7.1235338  7.1343047  7.0972088
#>  [937]  7.4211243  7.3845143  7.3982952  7.3692740  7.3236806  7.2926390
#>  [943]  7.2674044  7.2651932  7.2494383  7.2707866  7.2160604  7.2709693
#>  [949]  7.2592182  7.2859369  7.2844619  7.2653239  7.2931942  7.2890829
#>  [955]  7.2866773  7.2653564  7.2729944  7.2854853  7.2623655  7.2799890
#>  [961]  7.3194184  7.3054246  7.3000906  7.2732598  7.3034536  7.2939752
#>  [967]  7.2784611  7.2587903  7.2610493  7.2443255  7.2476264  7.2151719
#>  [973]  7.1878133  7.3178577  7.3196896  7.3209476  7.3153852  7.3630394
#>  [979]  7.3177752  7.3314555  7.3069549  7.3114731  7.2753974  7.2354118
#>  [985]  7.2435347  7.2105518  7.2121355  7.1900325  7.1955910  7.1910953
#>  [991]  7.1347601  7.2880971  7.3134271  7.2086291  7.2057126  7.2128669
#>  [997]  7.2633898  7.2889103  7.2827956  7.3395318  7.3146186  7.3129342
#> [1003]  7.4103601  7.4195348  7.2942026  7.2981379  7.0992950  7.1390520
#> [1009]  7.1465313  7.1586685  7.1776139  7.1915965  7.1934443  7.2745003
#> [1015]  7.2818511  7.2803398  7.3223173  7.3164073  7.3219884  7.2252422
#> [1021]  7.1064748  7.0767284  7.0898486  7.0926262  7.1577183  7.0910262
#> [1027]  7.0669482  7.0454874  7.0102880  7.0552320  6.9642691  6.9806132
#> [1033]  6.6818786  6.4781870  6.3170674  6.2636653  6.1998460  6.4505888
#> [1039]  6.3934811  6.3066645  6.2890004  6.2440530  6.1974448  6.1863488
#> [1045]  5.9291308  5.9213092  5.9328110  6.0188874  5.9827314  5.9564372
#> [1051]  5.8401024  5.9542706  5.9990806  5.8604910  5.7305277  5.6611347
#> [1057]  5.5320711  4.9191569  4.8855626  5.0801416  4.9167770  4.9246535
#> [1063]  4.9227056  5.1813558  5.3701048  5.4521374  5.6506514  5.6227556
#> [1069]  5.2554139  5.2312640  5.2915062  5.2789997  5.2560232  5.2384856
#> [1075]  5.2931302  5.3355317  5.3671791  5.3299528  5.1449633  4.9717691
#> [1081]  4.9086966  4.9356299  4.9404692  4.9195303  5.0318322  5.2789732
#> [1087]  5.2782048  5.4957054  6.5858934  6.5936185  6.4688226  6.4751513
#> [1093]  6.4655490  6.3370631  6.3869984  6.4014466  6.1627366  5.6706909
#> [1099]  5.8965389  5.9534211  5.9726493  6.0270944  6.0524589  6.0881125
#> [1105]  6.1017792  6.0824855  6.2426542  6.2294533  6.2458358  6.2402451
#> [1111]  6.2122966  6.1457625  6.0349289  5.9256244  5.9632196  5.8411451
#> [1117]  5.6842855  5.6491103  5.5296946  5.3321634  5.2014644  5.0739980
#> [1123]  4.9369620  4.7972654  4.7563584  4.5660950
roll_dispersion(dat.PoR$azi.PoR, y = 135, w = 1 / dat$unc)
#>    [1] 0.082018989 0.077529188 0.073414353 0.071154456 0.067911172 0.081368005
#>    [7] 0.076954467 0.078289377 0.076291731 0.073634870 0.062647021 0.061136387
#>   [13] 0.070124690 0.068802534 0.067228975 0.066024807 0.066102441 0.063579538
#>   [19] 0.067863949 0.080449601 0.086006938 0.089605474 0.096286893 0.093552927
#>   [25] 0.098756213 0.105122279 0.108127742 0.119018607 0.144999220 0.166447629
#>   [31] 0.166808320 0.169811801 0.174236496 0.185064023 0.192592455 0.194688563
#>   [37] 0.194243224 0.203290832 0.205584883 0.212175700 0.221050746 0.261288829
#>   [43] 0.276888724 0.269527300 0.278569061 0.292668939 0.301080510 0.293354104
#>   [49] 0.304142261 0.304212772 0.310313516 0.309792594 0.304738993 0.297505391
#>   [55] 0.301668187 0.293793907 0.281760045 0.274857423 0.264522250 0.255331028
#>   [61] 0.239460417 0.235966672 0.239846826 0.237431561 0.226722032 0.222121535
#>   [67] 0.230359455 0.225181425 0.227578970 0.226495632 0.220520280 0.219057076
#>   [73] 0.208171881 0.202515282 0.209036827 0.201655415 0.188662948 0.179712797
#>   [79] 0.180896139 0.176494693 0.177723390 0.166929998 0.168226709 0.174102630
#>   [85] 0.176829907 0.175445006 0.181875914 0.181308895 0.188933293 0.188380585
#>   [91] 0.174130888 0.178276358 0.155156895 0.156701103 0.159127420 0.163939081
#>   [97] 0.167818832 0.167170419 0.165008414 0.160980223 0.160991254 0.162702656
#>  [103] 0.161182932 0.173660616 0.116810838 0.116061212 0.115235925 0.115685540
#>  [109] 0.102258748 0.102624924 0.103305627 0.109342981 0.103108172 0.103232450
#>  [115] 0.116294401 0.110926967 0.110617337 0.110093372 0.112818330 0.106700430
#>  [121] 0.108017764 0.104643911 0.105911569 0.105437617 0.103405960 0.103934548
#>  [127] 0.105147353 0.104776451 0.102490644 0.103778138 0.107264644 0.108453327
#>  [133] 0.101973013 0.094055102 0.086481790 0.091848091 0.087247122 0.086914101
#>  [139] 0.084327949 0.091331624 0.090940363 0.091564402 0.082712437 0.099575055
#>  [145] 0.102988754 0.093162119 0.110454710 0.104777200 0.100256435 0.097613490
#>  [151] 0.099318552 0.102871080 0.106090932 0.099216921 0.097636384 0.108219198
#>  [157] 0.133914614 0.132202416 0.131564478 0.126768940 0.122882037 0.119922367
#>  [163] 0.118753625 0.120947262 0.129087541 0.131932766 0.136217910 0.160613261
#>  [169] 0.164453919 0.163893267 0.156355705 0.153297498 0.148251683 0.151288626
#>  [175] 0.142295171 0.139184027 0.138866656 0.126497647 0.132199356 0.132412966
#>  [181] 0.132759763 0.136181927 0.132793097 0.146602735 0.165411749 0.175226667
#>  [187] 0.166219087 0.124257431 0.126183095 0.126077944 0.144918325 0.149381430
#>  [193] 0.152662974 0.148789250 0.151645396 0.144986659 0.148102581 0.144602341
#>  [199] 0.128883068 0.124144154 0.123278314 0.120215699 0.122701321 0.126631922
#>  [205] 0.126875040 0.126472600 0.118631728 0.118533194 0.120502185 0.118774269
#>  [211] 0.128210729 0.128556956 0.127321143 0.125956245 0.112992929 0.102051896
#>  [217] 0.102783705 0.100010694 0.106189021 0.104225396 0.105391314 0.092420735
#>  [223] 0.092775466 0.097393509 0.091825485 0.089595238 0.090124101 0.087654883
#>  [229] 0.094080436 0.088372826 0.089075966 0.091846180 0.097342519 0.100463768
#>  [235] 0.097885954 0.097138494 0.096459879 0.103545382 0.102879295 0.101980218
#>  [241] 0.099824056 0.084934275 0.084877158 0.080312839 0.080650161 0.080923532
#>  [247] 0.082219449 0.075326319 0.074564844 0.073927235 0.067273107 0.064289572
#>  [253] 0.059434666 0.055771784 0.042880046 0.048061887 0.047050169 0.050143636
#>  [259] 0.045375693 0.034205847 0.033735574 0.032405848 0.032580876 0.034363111
#>  [265] 0.035989057 0.037034998 0.038548441 0.036456196 0.038325446 0.038612239
#>  [271] 0.039511793 0.044352144 0.045567831 0.044155199 0.072516006 0.071088248
#>  [277] 0.069938703 0.068662061 0.069320136 0.076939646 0.076979808 0.080787778
#>  [283] 0.080281497 0.080056040 0.079987828 0.079970634 0.080275498 0.085899460
#>  [289] 0.084029961 0.096217687 0.097109676 0.096178092 0.099537805 0.098798543
#>  [295] 0.097393411 0.105652336 0.109533209 0.101614317 0.103328264 0.104954588
#>  [301] 0.107518008 0.107177063 0.103800942 0.103058199 0.111645233 0.068285537
#>  [307] 0.072539585 0.074901036 0.075240020 0.078548213 0.058789529 0.058789355
#>  [313] 0.060562775 0.072238193 0.079933099 0.086471033 0.087634452 0.087746975
#>  [319] 0.090977046 0.102559849 0.102574339 0.100880121 0.100396007 0.100275035
#>  [325] 0.101818036 0.098082839 0.087346957 0.089270183 0.098949517 0.108974141
#>  [331] 0.081749779 0.078716323 0.079253234 0.077267799 0.079188337 0.075875747
#>  [337] 0.075798506 0.076739838 0.077871546 0.077870022 0.063157228 0.065131079
#>  [343] 0.063457045 0.065711460 0.057788370 0.077386096 0.071462163 0.071403178
#>  [349] 0.069307474 0.063171836 0.067091621 0.065149657 0.065126857 0.065692256
#>  [355] 0.091669056 0.091259294 0.089335704 0.091408898 0.091121113 0.094373467
#>  [361] 0.100515716 0.111260094 0.110266682 0.102883194 0.102169214 0.106588803
#>  [367] 0.107243509 0.101457243 0.104833626 0.104243251 0.104381216 0.112827269
#>  [373] 0.111927863 0.111805337 0.109839924 0.107357915 0.096889521 0.103721244
#>  [379] 0.106676790 0.112519451 0.113182018 0.111430794 0.120696129 0.120610334
#>  [385] 0.122140258 0.088422488 0.088939409 0.092883449 0.102044514 0.100540634
#>  [391] 0.087190198 0.074700374 0.074544546 0.074827632 0.094795413 0.096903648
#>  [397] 0.092696456 0.092293573 0.097163438 0.095368679 0.088229282 0.081804392
#>  [403] 0.082026727 0.084668825 0.081451367 0.081553380 0.081431980 0.075005089
#>  [409] 0.066209326 0.063520186 0.074005856 0.073199065 0.071459080 0.069618732
#>  [415] 0.068687514 0.063883950 0.065167453 0.064615103 0.062303435 0.057659790
#>  [421] 0.057617992 0.062584575 0.064105387 0.061751374 0.061943486 0.049580785
#>  [427] 0.048468591 0.047698769 0.047711843 0.047931605 0.041237730 0.043600912
#>  [433] 0.044888846 0.043807577 0.040375772 0.041693674 0.040115246 0.039582939
#>  [439] 0.041206807 0.044359347 0.044053058 0.025637839 0.028464041 0.028888948
#>  [445] 0.029397757 0.030977403 0.036255186 0.037837490 0.037974573 0.036870404
#>  [451] 0.036776323 0.037122412 0.034111534 0.035377161 0.042912162 0.040483209
#>  [457] 0.040928573 0.040786259 0.040864309 0.040494119 0.044132758 0.047392576
#>  [463] 0.046411990 0.047803162 0.041262828 0.040783938 0.040705771 0.041461174
#>  [469] 0.043139855 0.050720808 0.052831958 0.053344435 0.062050915 0.060797977
#>  [475] 0.061006809 0.057544164 0.056672526 0.055901599 0.056158697 0.052839387
#>  [481] 0.053753667 0.055436689 0.055597839 0.055847581 0.054640347 0.047036966
#>  [487] 0.050706621 0.050090753 0.062200117 0.063011468 0.062047534 0.058116316
#>  [493] 0.056522590 0.057911507 0.057407429 0.069939026 0.070417166 0.070194705
#>  [499] 0.069154830 0.065522781 0.056191962 0.050429036 0.049579562 0.036162124
#>  [505] 0.035602634 0.080682281 0.086788080 0.090396576 0.090647139 0.099009523
#>  [511] 0.109735744 0.112755845 0.110689358 0.110343541 0.110729276 0.111352643
#>  [517] 0.128030323 0.129014931 0.130707331 0.127245686 0.126868509 0.129270906
#>  [523] 0.127233447 0.127224564 0.127095575 0.127780057 0.129501470 0.129495090
#>  [529] 0.129709406 0.130727609 0.133500691 0.130779137 0.136692663 0.138986938
#>  [535] 0.146593345 0.147206218 0.116686498 0.104923430 0.098922090 0.098551571
#>  [541] 0.083266611 0.080545904 0.072719228 0.073088313 0.068780838 0.067877972
#>  [547] 0.067284454 0.038076249 0.035696411 0.032095227 0.022475696 0.023345035
#>  [553] 0.023034022 0.022778969 0.022929559 0.023129214 0.022566069 0.021594931
#>  [559] 0.023803009 0.023792136 0.025281934 0.025783512 0.026510364 0.026155623
#>  [565] 0.026288510 0.026284976 0.023720119 0.023699141 0.024116718 0.023653008
#>  [571] 0.024189064 0.024087201 0.026912414 0.029942732 0.024983284 0.026363741
#>  [577] 0.026861566 0.029080209 0.026994734 0.027244672 0.025666189 0.024649060
#>  [583] 0.022957975 0.023272922 0.023645589 0.020893033 0.021495784 0.022523834
#>  [589] 0.022523222 0.019691352 0.019719764 0.017664692 0.017289400 0.017199617
#>  [595] 0.017653353 0.017601236 0.017568381 0.019022052 0.017671198 0.018253232
#>  [601] 0.017482144 0.017354737 0.017407486 0.014940877 0.014989597 0.014791872
#>  [607] 0.015112916 0.014977078 0.013089454 0.014566172 0.014401555 0.015045548
#>  [613] 0.017292002 0.016621349 0.017959522 0.017377683 0.020938278 0.023481390
#>  [619] 0.023462751 0.023565182 0.024456186 0.025169156 0.026332344 0.027701466
#>  [625] 0.028834215 0.029443271 0.029902339 0.029979607 0.028004346 0.029780784
#>  [631] 0.029782798 0.030913753 0.030744738 0.032251542 0.029971311 0.029901980
#>  [637] 0.029958576 0.030679677 0.029105757 0.029123845 0.029392200 0.029403586
#>  [643] 0.029289639 0.027952990 0.026742620 0.024828549 0.025516767 0.023546659
#>  [649] 0.018868769 0.018892623 0.019079707 0.018739947 0.017831449 0.015785220
#>  [655] 0.012803766 0.009577847 0.007764796 0.007108342 0.007539077 0.008197158
#>  [661] 0.008198865 0.008355735 0.008288646 0.007674505 0.009099896 0.011821034
#>  [667] 0.011420558 0.011890259 0.011817885 0.011574481 0.011573862 0.011196742
#>  [673] 0.011610411 0.010842027 0.010824345 0.010269464 0.010651670 0.010121293
#>  [679] 0.010000563 0.010007074 0.010098439 0.009299510 0.010936615 0.010808440
#>  [685] 0.011093041 0.011214407 0.012744687 0.013091179 0.013426551 0.013195791
#>  [691] 0.013807826 0.016117353 0.016707338 0.017284157 0.017916182 0.016904868
#>  [697] 0.014704709 0.015141683 0.013210817 0.013285153 0.013401227 0.013364331
#>  [703] 0.013537513 0.013266415 0.014058299 0.014160520 0.013938239 0.014227579
#>  [709] 0.026472470 0.025935738 0.025925492 0.025789455 0.024584644 0.025603075
#>  [715] 0.038244731 0.038575493 0.032445852 0.032450590 0.045828508 0.046530668
#>  [721] 0.044983737 0.044884974 0.043452456 0.043165108 0.042884224 0.042471633
#>  [727] 0.041124294 0.042627870 0.043543973 0.047200430 0.047506012 0.047468628
#>  [733] 0.047601710 0.049702347 0.047735531 0.047003852 0.046970341 0.049626926
#>  [739] 0.049629408 0.044422921 0.045737501 0.045751717 0.043666411 0.045266963
#>  [745] 0.046237696 0.036785496 0.036477282 0.049003828 0.050375867 0.035707472
#>  [751] 0.037206259 0.039338641 0.036738187 0.036991645 0.037454418 0.037714539
#>  [757] 0.039082424 0.041552392 0.041122248 0.041463300 0.040612261 0.040655397
#>  [763] 0.041318554 0.039597419 0.039921651 0.042557846 0.041922611 0.041312768
#>  [769] 0.038941411 0.036809022 0.035210546 0.034753084 0.034744511 0.034555064
#>  [775] 0.033180757 0.034253977 0.036817395 0.037046237 0.033150593 0.032111280
#>  [781] 0.031582869 0.031448138 0.030672810 0.033150433 0.031202975 0.027699625
#>  [787] 0.058980894 0.059111969 0.052501703 0.054972675 0.054913254 0.056359631
#>  [793] 0.056449760 0.057836607 0.059646187 0.060105285 0.059119957 0.059339257
#>  [799] 0.057447958 0.058007211 0.060757201 0.060656203 0.061113089 0.061228755
#>  [805] 0.063033459 0.065653865 0.066007786 0.063140963 0.060348126 0.056883888
#>  [811] 0.056735463 0.062353428 0.062384650 0.059879825 0.076179981 0.076716528
#>  [817] 0.082654250 0.055936558 0.054813497 0.062947290 0.070197330 0.071598936
#>  [823] 0.069285485 0.069920745 0.074721434 0.079664797 0.080980402 0.083598838
#>  [829] 0.086443789 0.093548133 0.093437223 0.094045524 0.093816935 0.093797270
#>  [835] 0.093535861 0.094211402 0.093521917 0.088746033 0.083234310 0.086642307
#>  [841] 0.093606464 0.088188731 0.075288614 0.073123434 0.073181796 0.046812392
#>  [847] 0.048368580 0.048333646 0.044799795 0.042827558 0.042654405 0.027889097
#>  [853] 0.027074423 0.027701049 0.027100479 0.019664437 0.014033992 0.017661860
#>  [859] 0.017067856 0.009466483 0.039264869 0.039240261 0.050076869 0.064034209
#>  [865] 0.064023713 0.062227141 0.061018311 0.061760068 0.064994472 0.068820680
#>  [871] 0.065671431 0.066008876 0.075310051 0.083212366 0.092094711 0.093537758
#>  [877] 0.095224538 0.102357497 0.102637473 0.109169502 0.127861419 0.127867264
#>  [883] 0.135973485 0.138724481 0.138672684 0.135760724 0.136500119 0.140978953
#>  [889] 0.147131021 0.150577166 0.166675625 0.139329931 0.137099523 0.109196794
#>  [895] 0.094297099 0.094590376 0.093956685 0.095435246 0.095745049 0.092713463
#>  [901] 0.094204926 0.100875765 0.100583322 0.090413246 0.081344745 0.080601636
#>  [907] 0.079168785 0.077266220 0.065715635 0.067274802 0.063017980 0.047635605
#>  [913] 0.047502191 0.046321979 0.046663394 0.046525009 0.046050826 0.045148627
#>  [919] 0.037892219 0.027365405 0.025925149 0.023690408 0.022566953 0.023046672
#>  [925] 0.025740532 0.025648345 0.025331287 0.025803538 0.023421376 0.026843072
#>  [931] 0.027076461 0.025017083 0.022797799 0.023827575 0.023485599 0.024663396
#>  [937] 0.014379069 0.015541438 0.015103891 0.016025317 0.017472908 0.018458479
#>  [943] 0.019259680 0.019329886 0.019830102 0.019152295 0.020889853 0.019146495
#>  [949] 0.019519592 0.018671272 0.018718103 0.019325736 0.018440851 0.018571385
#>  [955] 0.018647764 0.019324705 0.019082198 0.018685610 0.019419664 0.018860119
#>  [961] 0.017608235 0.018052536 0.018221891 0.019073769 0.018115115 0.018416056
#>  [967] 0.018908628 0.019533179 0.019461453 0.019992436 0.019887631 0.020918062
#>  [973] 0.021786699 0.017657785 0.017599622 0.017559682 0.017736288 0.016223265
#>  [979] 0.017660404 0.017226056 0.018003951 0.017860498 0.019005902 0.020275445
#>  [985] 0.020017543 0.021064751 0.021014468 0.021716240 0.021539758 0.021682497
#>  [991] 0.023471139 0.018602686 0.017798458 0.021125798 0.021218395 0.020991246
#>  [997] 0.019387142 0.018576866 0.018771009 0.016969633 0.017760628 0.017814106
#> [1003] 0.014720832 0.014429535 0.018408834 0.018283890 0.024597159 0.023334872
#> [1009] 0.023097403 0.022712047 0.022110532 0.021666584 0.021607914 0.019034386
#> [1015] 0.018800995 0.018848980 0.017516192 0.017703835 0.017526636 0.020598332
#> [1021] 0.024369201 0.025313648 0.024897083 0.024808892 0.022742217 0.024859692
#> [1027] 0.025624172 0.026305552 0.027423133 0.025996160 0.028884236 0.028365308
#> [1033] 0.037850142 0.044317357 0.049432911 0.051128427 0.053154691 0.045193601
#> [1039] 0.047006773 0.049763201 0.050324037 0.051751118 0.053230930 0.053583229
#> [1045] 0.061749908 0.061998245 0.061633064 0.058900135 0.060048089 0.060882929
#> [1051] 0.064576562 0.060951718 0.059529000 0.063929225 0.068055563 0.070258794
#> [1057] 0.074356568 0.093816611 0.094883232 0.088705343 0.093892173 0.093642094
#> [1063] 0.093703942 0.085491789 0.079499003 0.076894465 0.070591640 0.071477332
#> [1069] 0.083140442 0.083907202 0.081994511 0.082391592 0.083121096 0.083677915
#> [1075] 0.081942948 0.080596700 0.079591892 0.080773829 0.086647253 0.092146174
#> [1081] 0.094148727 0.093293593 0.093139946 0.093804758 0.090239169 0.082392432
#> [1087] 0.082416830 0.075511180 0.040897675 0.040652402 0.044614678 0.044413741
#> [1093] 0.044718615 0.048798044 0.047212598 0.046753868 0.054332917 0.069955383
#> [1099] 0.062784701 0.060978692 0.060368196 0.058639562 0.057834237 0.056702235
#> [1105] 0.056268316 0.056880892 0.051795530 0.052214660 0.051694516 0.051872021
#> [1111] 0.052759385 0.051646368 0.051893752 0.052038782 0.047127148 0.047494730
#> [1117] 0.049030159 0.046155289 0.046172754 0.049036532 0.049349153 0.049432620
#> [1123] 0.049779750 0.050113943 0.046072818 0.048205205
roll_confidence(dat.PoR$azi.PoR, w = 1 / dat$unc)
#>                                                                              
#>  44.835583  42.153158  39.542133  37.541267  35.686866  40.969675  38.840634 
#>                                                                              
#>  37.309105  35.654839  34.247146  32.044639  30.779092  33.810469  32.622380 
#>                                                                              
#>  31.426454  30.378649  33.222844  29.968960  30.439601  34.401185  38.024813 
#>                                                                              
#>  39.234950  43.056928  40.105073  41.612801  43.610152  44.596808  49.773832 
#>                                                                              
#>  57.920335  68.766522  69.128185  71.591541  74.721752  84.898073  94.000075 
#>                                                                              
#>  97.453034  87.090272  99.294391  92.845235  95.110159 106.780994  89.658047 
#>                                                                              
#>  66.487578  62.870683  57.517612  51.821836  51.717177  51.789427  42.505518 
#>                                                                              
#>  36.752133  30.614240  27.597184  29.328713  28.348989  32.807650  35.341070 
#>                                                                              
#>  38.099978  41.366726  40.437542  44.434296  45.596442  45.714987  45.067508 
#>                                                                              
#>  46.611415  47.676855  54.077548  61.456420  58.426871  69.465409  84.993192 
#>                                                                              
#>  95.918292 112.916671  91.807614  88.875006 106.592926  88.167279  72.254820 
#>                                                                              
#>  62.652380  62.722449  55.673425  55.942209  48.878102  46.350044  46.029063 
#>                                                                              
#>  44.900051  44.896894  44.676446  44.307479  44.057301  43.533931  39.086597 
#>                                                                              
#>  38.756912  36.821170  36.834987  36.178868  36.006613  39.438952  39.419559 
#>                                                                              
#>  37.383109  34.134514  34.134661  34.166078  34.144321  37.498279  34.377680 
#>                                                                              
#>  31.170765  31.136205  31.165813  31.267907  31.315760  34.170573  31.109805 
#>                                                                              
#>  31.143308  33.950232  37.367335  37.264889  37.213639  37.173321  40.665247 
#>                                                                              
#>  40.793433  40.904028  40.778470  40.719855  42.500532  42.331573  42.345092 
#>                                                                              
#>  46.147712  46.339160  42.406525  42.608769  42.548642  42.467158  42.785985 
#>                                                                              
#>  39.043241  35.415633  35.834773  35.672875  35.956136  36.173180  39.632430 
#>                                                                              
#>  39.615422  36.489301  36.161818  40.436133  37.483823  33.901185  38.096014 
#>                                                                              
#>  37.570342  37.344272  33.981159  33.842306  37.056043  37.387699  37.315389 
#>                                                                              
#>  36.092768  39.846381  45.845324  42.388956  38.851445  38.590160  38.450144 
#>                                                                              
#>  38.234211  39.205182  39.081729  40.547441  40.856282  41.274460  47.888194 
#>                                                                              
#>  51.875786  50.868684  46.056445  45.575488  45.860115  46.343179  41.804193 
#>                                                                              
#>  41.579476  42.434507  37.784404  39.326752  39.320856  40.342226  42.247722 
#>                                                                              
#>  39.143126  44.223910  51.617874  56.010102  48.707623  36.923590  36.742297 
#>                                                                              
#>  36.704134  41.715435  43.389663  47.009533  46.319152  46.933025  44.744021 
#>                                                                              
#>  45.528438  44.769811  38.509187  34.049102  33.956399  33.466272  33.896356 
#>                                                                              
#>  34.680409  35.055664  34.696465  33.534841  33.362021  33.575596  33.476362 
#>                                                                              
#>  35.853260  35.681998  34.947274  33.896749  29.741426  25.780422  25.550327 
#>                                                                              
#>  25.056812  25.776789  29.689580  33.085376  30.796056  30.272846  31.973267 
#>                                                                              
#>  30.905003  30.753679  30.777136  30.703361  31.294926  31.919134  31.965371 
#>                                                                              
#>  32.133181  32.524701  35.160116  34.633203  34.231966  33.176515  33.692875 
#>                                                                              
#>  33.477081  33.577829  33.651731  32.869153  33.041046  32.765296  32.784688 
#>                                                                              
#>  32.763387  32.917544  32.445445  32.384581  32.140820  28.460839  25.024103 
#>                                                                              
#>  24.447957  24.267523  18.976716  19.280721  19.257378  19.506450  19.287745 
#>                                                                              
#>  18.310515  16.798189  16.632571  16.741903  16.941597  11.790492  11.838923 
#>                                                                              
#>  11.997887  11.386623  11.388347  11.321277  12.807621  16.585718  17.037687 
#>                                                                              
#>  16.799234  21.276900  21.177171  20.987073  20.793323  20.903379  21.422498 
#>                                                                              
#>  21.421629  21.817220  22.081598  21.844751  21.852501  22.081311  22.656614 
#>                                                                              
#>  23.072326  22.980010  23.970720  25.008166  25.166955  25.580053  25.663202 
#>                                                                              
#>  25.613299  26.099043  26.425097  25.269559  25.552106  25.689656  26.217882 
#>                                                                              
#>  25.220710  22.142172  21.584945  22.537703  15.923723  16.060211  16.233655 
#>                                                                              
#>  16.296001  18.469932  17.025149  17.083497  17.157426  19.712797  22.239305 
#>                                                                              
#>  24.242064  24.273115  23.845468  26.530722  27.877659  27.886596  27.097768 
#>                                                                              
#>  26.933574  26.827930  26.805860  26.347246  25.511600  26.161358  26.987032 
#>                                                                              
#>  28.688610  26.084338  25.518546  25.475797  25.194579  25.650331  24.941800 
#>                                                                              
#>  24.849263  24.994735  25.171366  25.170834  23.260934  23.842944  23.389306 
#>                                                                              
#>  23.763606  22.213910  21.582996  19.846813  19.428237  18.735370  15.934113 
#>                                                                              
#>  16.410388  16.119604  15.512724  15.509951  22.918597  22.326465  22.928579 
#>                                                                              
#>  22.076655  21.997170  21.486678  24.180635  24.001859  23.816300  22.766684 
#>                                                                              
#>  22.915038  25.202261  24.986711  26.032619  30.399007  30.554891  30.665427 
#>                                                                              
#>  30.831183  30.592100  30.713946  30.731873  30.780549  31.848010  36.539624 
#>                                                                              
#>  37.575759  41.880972  42.368846  42.693439  45.140507  44.741848  45.258830 
#>                                                                              
#>  36.370280  36.507572  36.710557  38.734262  38.290743  36.162953  32.867200 
#>                                                                              
#>  32.774320  32.731637  34.544742  37.827784  35.348432  34.875909  35.410561 
#>                                                                              
#>  32.040963  31.634135  31.368949  31.189824  31.068079  30.804385  30.777953 
#>                                                                              
#>  30.660164  28.668596  25.087235  23.614246  21.541212  21.486404  21.324772 
#>                                                                              
#>  20.737110  20.539125  19.628692  19.492536  18.976969  18.782996  18.453825 
#>                                                                              
#>  18.458387  18.904015  19.049910  18.981945  18.954837  17.960800  10.419356 
#>                                                                              
#>  10.040946  10.060429  10.128073   9.552903   9.596288   9.544271   9.902593 
#>                                                                              
#>   9.401472   9.523420   9.096243   9.130291   9.194550   9.585518  10.186330 
#>                                                                              
#>   8.134617   9.425383   9.805413  10.063755  10.714200  11.706343  12.267882 
#>                                                                              
#>  12.371907  12.761639  13.063377  13.126367  12.369218  13.371914  13.652488 
#>                                                                              
#>  13.498888  13.802619  13.634076  13.579332  13.392402  14.344399  15.272536 
#>                                                                              
#>  15.152498  15.226505  14.873350  14.616559  14.488727  14.893170  15.156869 
#>                                                                              
#>  15.621785  16.341360  16.149439  16.855088  16.333890  16.161291  15.956532 
#>                                                                              
#>  15.598605  14.903457  14.503030  14.612556  14.328955  14.150876  13.854584 
#>                                                                              
#>  13.602574  13.368429  13.305097  13.430088  13.517080  14.168003  14.423471 
#>                                                                              
#>  14.289113  13.679671  13.259987  13.220746  13.014876  13.349885  13.480606 
#>                                                                              
#>  13.164719  13.157271  13.003802  12.848164  12.131631  12.032627  10.973406 
#>                                                                              
#>  10.863233  19.781317  20.135355  20.488546  20.507297  21.279088  25.906879 
#>                                                                              
#>  26.086484  26.859403  27.079874  27.132912  26.933588  27.338604  27.477401 
#>                                                                              
#>  27.143896  26.955921  27.820015  28.189420  28.071762  28.216771  28.381099 
#>                                                                              
#>  28.939046  28.619786  28.495361  28.673854  29.183647  29.610650  29.695044 
#>                                                                              
#>  30.282443  30.276979  31.107990  31.767063  25.733471  25.012627  24.582610 
#>                                                                              
#>  24.717913  22.975099  16.669496  16.232315  17.061539  16.724494  16.556178 
#>                                                                              
#>  16.496381  13.764845  12.540985  11.105549   9.356119   9.849492   9.723023 
#>                                                                              
#>   9.495504   9.581659   9.699124   9.696561   8.991777   8.709233   8.738998 
#>                                                                              
#>   9.562548  10.010285  10.288868  10.265646  10.369022  10.367454   9.501252 
#>                                                                              
#>   9.485571   9.471253   9.395927   9.804219   9.651630   9.980360  10.129686 
#>                                                                              
#>   8.905764   8.865548   9.222688   9.848762   9.781254   9.917407   9.930694 
#>                                                                              
#>   9.936608  10.378520  10.397514  10.497225  10.509752  10.815200  10.874823 
#>                                                                              
#>  10.874876  10.520596  10.553004   9.473160   9.150383   9.068889   9.669493 
#>                                                                              
#>   9.622765   9.615874   9.717471   9.644003   9.751345   9.714305   9.977011 
#>                                                                              
#>   9.860005   9.581842   9.608068   9.578877   9.588082   9.349674   8.522665 
#>                                                                              
#>   8.646993   8.385399   8.504020   8.750408   8.624237   8.856544   8.844378 
#>                                                                              
#>   9.222058   9.114515   9.141584   9.242071   9.477505  10.022064  10.808525 
#>                                                                              
#>  10.962923  11.239280  11.563754  11.853862  11.847045  11.705529  11.753295 
#>                                                                              
#>  11.545159  11.582000  11.462626  11.653394  11.453469  11.404863  11.303202 
#>                                                                              
#>  11.444234  11.383169  11.355275  11.048138  11.053455  11.072967  10.631255 
#>                                                                              
#>  10.924501  11.001582  11.293670  10.817498   9.910229   9.921259   9.756034 
#>                                                                              
#>   9.540785   8.989431   7.960390   7.383806   6.750185   5.536432   4.841019 
#>                                                                              
#>   6.031296   6.059497   6.079875   6.132866   6.131414   5.654883   5.824677 
#>                                                                              
#>   6.300309   6.333968   6.345013   6.326353   6.343688   6.404823   6.384910 
#>                                                                              
#>   6.765086   6.603455   6.538545   6.756448   6.804555   6.761498   6.618465 
#>                                                                              
#>   6.587594   6.664198   6.482408   6.517430   6.480667   6.490013   6.579348 
#>                                                                              
#>   6.958211   6.975292   7.089209   6.126919   6.579471   8.345787   8.403450 
#>                                                                              
#>   8.592149   8.852889   9.190510   9.425507   9.626361   9.539000   9.539680 
#>                                                                              
#>   9.621606   9.591617   9.941759   9.989703   9.963030  10.021844   9.903489 
#>                                                                              
#>  10.044363  11.024590  10.886593  10.890400  10.772539  10.757975  10.708284 
#>                                                                              
#>  12.649041  12.795914  12.047911  12.051587  12.927647  12.680196  12.548399 
#>                                                                              
#>  12.601979  11.441102  11.232171  11.029305  10.689916  10.615898  11.810481 
#>                                                                              
#>  12.087227  12.186176  12.310191  12.242215  12.372443  12.374517  12.255710 
#>                                                                              
#>  12.326603  12.306236  12.699159  12.507192  11.864540  12.057646  12.072258 
#>                                                                              
#>  12.088900  12.175647  12.579407  11.422237  11.107415  12.160684  12.451652 
#>                                                                              
#>  11.556778  11.735145  11.804449  11.495423  11.745909  12.130015  12.301663 
#>                                                                              
#>  12.934567  13.201756  12.610582  12.641384  12.808501  12.929137  13.336880 
#>                                                                              
#>  13.214489  13.351029  13.569732  13.507002  13.569324  13.289381  13.139049 
#>                                                                              
#>  12.705460  12.482612  12.445103  12.391115  12.339357  12.257726  13.967307 
#>                                                                              
#>  14.241892  13.878841  14.253191  14.446831  14.428143  14.670602  15.442544 
#>                                                                              
#>  15.182269  14.932013  22.318744  21.839761  20.960231  20.630221  20.106314 
#>                                                                              
#>  20.289883  20.305870  20.335169  20.477827  20.504166  20.636021  20.645039 
#>                                                                              
#>  20.517650  20.607081  20.862824  20.911085  20.973891  20.981154  21.110957 
#>                                                                              
#>  21.554198  21.483031  20.117633  19.617121  19.354084  18.750807  19.205249 
#>                                                                              
#>  19.171566  18.583185  22.618501  22.543561  22.913669  15.890999  15.724958 
#>                                                                              
#>  16.119973  17.763503  17.883538  17.552564  17.993949  19.044016  19.845128 
#>                                                                              
#>  20.213016  20.663480  20.943390  21.427698  21.471184  21.566729  21.555108 
#>                                                                              
#>  21.548644  21.525598  21.538529  21.408390  21.043649  20.664679  20.877873 
#>                                                                              
#>  21.280564  20.476543  18.670743  18.140074  18.118276  12.844677  12.818348 
#>                                                                              
#>  12.758504  12.633586  12.378928  12.284961  10.667867  10.143069  10.251337 
#>                                                                              
#>   9.141560   8.396194   7.595082   7.903831   7.383952   6.410279  10.903036 
#>                                                                              
#>  10.923157  15.716194  18.041339  18.035539  17.976604  17.933581  18.365864 
#>                                                                              
#>  19.167951  19.434895  19.261948  19.439874  20.360141  21.181428  22.177214 
#>                                                                              
#>  22.382782  22.458586  23.416291  23.414009  23.881453  29.486128  29.486556 
#>                                                                              
#>  30.851919  31.244083  31.304592  30.862386  31.136033  31.893273  34.510260 
#>                                                                              
#>  34.800203  37.159050  29.734375  29.693993  23.681202  20.542026  20.433681 
#>                                                                              
#>  20.217801  20.173847  20.290355  20.194814  25.330379  25.798334  25.819464 
#>                                                                              
#>  25.809202  25.228794  25.292777  25.026826  25.106466  24.010657  24.207842 
#>                                                                              
#>  23.976513  20.321584  20.296729  20.053118  20.410935  20.433544  20.435227 
#>                                                                              
#>  19.979931  19.004699  17.684604  17.511872  17.311568  17.134526  17.202960 
#>                                                                              
#>  17.286355  17.329700  17.199616  17.228669  16.920073  16.702349  16.838977 
#>                                                                              
#>  10.019367   9.156260  10.307270  10.349169  10.390344   8.283927   8.760509 
#>                                                                              
#>   8.741779   8.753067   9.117816   9.212436   9.254631   9.295241   9.307274 
#>                                                                              
#>   8.665566   8.978576   8.811595   9.045810   8.884533   8.940900   8.950896 
#>                                                                              
#>   8.877170   8.991870   8.987932   9.041227   9.025865   9.026509   9.189128 
#>                                                                              
#>   9.105395   8.569989   8.833229   8.963943   9.188003   8.142642   8.725993 
#>                                                                              
#>   8.725564   8.847817   8.778231   8.777668   8.828462   8.787301   8.837455 
#>                                                                              
#>   8.279373   8.261012   8.310214   8.529376   8.005438   8.256109   8.124744 
#>                                                                              
#>   8.110919   8.031679   8.900085   9.235819   9.020022   9.337484   9.311867 
#>                                                                              
#>   9.272605   9.256285   9.510645   9.738268   9.252652   9.020326   9.430138 
#>                                                                              
#>   9.373659   9.272116   8.668511   8.626711   8.713510   8.161368   8.392294 
#>                                                                              
#>   8.388183   8.012676   7.873417   8.031884   7.959594   8.733170   8.438745 
#>                                                                              
#>   8.470961   8.229063   8.223017   8.226719   8.277653   7.211140   6.971015 
#>                                                                              
#>   6.936395   6.590277   6.714165   6.807903   7.279682   7.825991   8.911005 
#>                                                                              
#>   8.861896   8.884678   8.485964   9.538946  10.050714  10.151351  10.185990 
#>                                                                              
#>   9.945482  10.480051  10.190272  16.875120  17.700540  18.178912  18.844613 
#>                                                                              
#>  18.998529  18.145965  18.227673  18.771851  18.790890  18.860476  18.905484 
#>                                                                              
#>  18.917504  18.992504  18.972724  18.869280  18.701083  18.646374  18.710246 
#>                                                                              
#>  18.065798  17.880538  17.813997  20.033497  22.009771  22.969823  26.770158 
#>                                                                              
#>  31.291484  31.369947  31.351110  31.670018  31.283237  31.394077  27.967940 
#>                                                                              
#>  27.454733  27.316806  26.646918  26.847548  27.504919  27.564514  27.325053 
#>                                                                              
#>  27.351975  27.326415  27.191177  27.071840  27.022785  26.983566  27.039523 
#>                                                                              
#>  27.433873  28.065810  28.210092  28.192010  28.564226  28.416715  26.598168 
#>                                                                              
#>  24.443759  26.306434  21.943462  15.206707  15.193338  15.352710  15.439404 
#>                                                                              
#>  15.449921  15.572110  15.081063  15.235228  19.696230  24.178548  23.555629 
#>                                                                              
#>  23.513293  23.475757  23.577448  23.508335  23.559440  23.681577  23.753625 
#>                                                                              
#>  23.470141  23.520726  23.540613  23.562287  23.611202  24.148180  24.912250 
#>                                                                              
#>  25.519190  25.885769  26.837714  27.865133  24.877379  25.863676  27.225069 
#>                                                                   
#>  28.491020  29.505218  30.948508  32.591042  33.507015  35.699287 
# \donttest{
roll_dispersion_CI(dat.PoR$azi.PoR, y = 135, w = 1 / dat$unc, R = 10)
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#>               [,1]       [,2]
#>    [1,] 0.10769621 0.31182092
#>    [2,] 0.14387120 0.27768474
#>    [3,] 0.13950132 0.21604789
#>    [4,] 0.16571973 0.29530935
#>    [5,] 0.13324309 0.31718206
#>    [6,] 0.17136845 0.37802644
#>    [7,] 0.10143062 0.34594101
#>    [8,] 0.17297821 0.34748885
#>    [9,] 0.09698737 0.24247690
#>   [10,] 0.15044989 0.34888166
#>   [11,] 0.12624147 0.26316985
#>   [12,] 0.13802118 0.27768415
#>   [13,] 0.18189065 0.32818810
#>   [14,] 0.14782745 0.27795420
#>   [15,] 0.13946084 0.20914206
#>   [16,] 0.08620527 0.31910128
#>   [17,] 0.12602686 0.34989513
#>   [18,] 0.10566011 0.34399369
#>   [19,] 0.11045331 0.30115084
#>   [20,] 0.12854834 0.27852029
#>   [21,] 0.22666913 0.37909653
#>   [22,] 0.19273506 0.35574756
#>   [23,] 0.16960631 0.36652305
#>   [24,] 0.19992221 0.42344184
#>   [25,] 0.25997929 0.41746651
#>   [26,] 0.23232193 0.52052593
#>   [27,] 0.32107421 0.59507880
#>   [28,] 0.25254663 0.71544389
#>   [29,] 0.35376824 0.64926860
#>   [30,] 0.31087642 0.95859219
#>   [31,] 0.28516965 0.80479703
#>   [32,] 0.41248631 0.74721368
#>   [33,] 0.47627579 0.74353793
#>   [34,] 0.44259867 0.81927539
#>   [35,] 0.55517294 0.86695219
#>   [36,] 0.41092310 0.86675189
#>   [37,] 0.45215254 0.89208607
#>   [38,] 0.62333896 0.90865959
#>   [39,] 0.52588350 0.88645330
#>   [40,] 0.46638005 0.86147162
#>   [41,] 0.47179171 0.91991107
#>   [42,] 0.52530577 0.97404229
#>   [43,] 0.53397317 0.92993620
#>   [44,] 0.66115918 0.86810568
#>   [45,] 0.27708726 0.89460493
#>   [46,] 0.48122004 0.92133698
#>   [47,] 0.53880147 0.97227050
#>   [48,] 0.52748059 0.94279655
#>   [49,] 0.50612076 0.86048506
#>   [50,] 0.42950146 0.51318235
#>   [51,] 0.21651633 0.48217510
#>   [52,] 0.23850730 0.58850250
#>   [53,] 0.24125046 0.65279290
#>   [54,] 0.25481223 0.55622234
#>   [55,] 0.30669107 0.63327005
#>   [56,] 0.28224002 0.67651914
#>   [57,] 0.42781295 0.83465439
#>   [58,] 0.44802986 0.62275197
#>   [59,] 0.42490015 0.78442155
#>   [60,] 0.46829411 0.77670710
#>   [61,] 0.56017004 0.75245857
#>   [62,] 0.62470874 0.91618407
#>   [63,] 0.50806642 0.93659475
#>   [64,] 0.39923654 0.74519923
#>   [65,] 0.49146438 0.84218755
#>   [66,] 0.39093052 0.98324514
#>   [67,] 0.58523182 0.91484464
#>   [68,] 0.55052120 0.84229489
#>   [69,] 0.62715362 0.87855421
#>   [70,] 0.69444273 0.91046681
#>   [71,] 0.68866843 0.92941006
#>   [72,] 0.59571550 0.93457885
#>   [73,] 0.63008863 0.86038552
#>   [74,] 0.51397205 0.88691763
#>   [75,] 0.54959803 0.85887500
#>   [76,] 0.51291741 0.86494234
#>   [77,] 0.46930906 0.82929703
#>   [78,] 0.40110740 0.79417940
#>   [79,] 0.59278236 0.76621441
#>   [80,] 0.36872516 0.73677989
#>   [81,] 0.25187805 0.69965380
#>   [82,] 0.27148851 0.46421717
#>   [83,] 0.20870842 0.39395624
#>   [84,] 0.18856447 0.36119987
#>   [85,] 0.18184046 0.41355097
#>   [86,] 0.13170897 0.37923650
#>   [87,] 0.16873298 0.36986558
#>   [88,] 0.16613883 0.38644998
#>   [89,] 0.10332984 0.32462276
#>   [90,] 0.17838462 0.33127040
#>   [91,] 0.13992927 0.37777134
#>   [92,] 0.08254917 0.25678201
#>   [93,] 0.10446816 0.19080262
#>   [94,] 0.10919499 0.23156600
#>   [95,] 0.09363551 0.15766113
#>   [96,] 0.06727328 0.25224853
#>   [97,] 0.06867669 0.17952927
#>   [98,] 0.07637443 0.24675753
#>   [99,] 0.06452024 0.10430835
#>  [100,] 0.06435050 0.12292531
#>  [101,] 0.06628873 0.12190218
#>  [102,] 0.06955081 0.11704602
#>  [103,] 0.06714166 0.12473268
#>  [104,] 0.06323500 0.10847936
#>  [105,] 0.06805671 0.12359765
#>  [106,] 0.04753984 0.11173891
#>  [107,] 0.04079635 0.09139809
#>  [108,] 0.04432373 0.09212097
#>  [109,] 0.03160202 0.12116664
#>  [110,] 0.04825992 0.11719903
#>  [111,] 0.08150182 0.10215037
#>  [112,] 0.02621701 0.11601266
#>  [113,] 0.03906024 0.10053922
#>  [114,] 0.05959824 0.11102190
#>  [115,] 0.05921422 0.15987127
#>  [116,] 0.08092841 0.11656024
#>  [117,] 0.07230802 0.11777349
#>  [118,] 0.05937161 0.13319191
#>  [119,] 0.07177086 0.12720938
#>  [120,] 0.08321670 0.15641433
#>  [121,] 0.05976080 0.12560828
#>  [122,] 0.06937890 0.11750080
#>  [123,] 0.07131103 0.16401485
#>  [124,] 0.05863637 0.22142495
#>  [125,] 0.06815191 0.23001264
#>  [126,] 0.10177123 0.36164316
#>  [127,] 0.08362491 0.24927619
#>  [128,] 0.06126264 0.32706908
#>  [129,] 0.06048965 0.28341074
#>  [130,] 0.09665552 0.31275004
#>  [131,] 0.07639115 0.16442517
#>  [132,] 0.07129149 0.22129058
#>  [133,] 0.10530979 0.28228287
#>  [134,] 0.10387223 0.23191643
#>  [135,] 0.08888462 0.30855726
#>  [136,] 0.07201686 0.16893806
#>  [137,] 0.08821487 0.17761735
#>  [138,] 0.06091759 0.20174454
#>  [139,] 0.12176741 0.23488469
#>  [140,] 0.13358218 0.25575472
#>  [141,] 0.09590321 0.22673618
#>  [142,] 0.12909094 0.22055032
#>  [143,] 0.07890256 0.24234210
#>  [144,] 0.11697127 0.29697494
#>  [145,] 0.12208610 0.27619625
#>  [146,] 0.17048460 0.30928749
#>  [147,] 0.17887918 0.29737424
#>  [148,] 0.10820040 0.24471995
#>  [149,] 0.12094535 0.31240402
#>  [150,] 0.13446138 0.22360211
#>  [151,] 0.07644381 0.25961701
#>  [152,] 0.12997431 0.27489212
#>  [153,] 0.10024859 0.37507842
#>  [154,] 0.15058956 0.27592934
#>  [155,] 0.11581850 0.22551384
#>  [156,] 0.14052864 0.24346429
#>  [157,] 0.13487604 0.47139061
#>  [158,] 0.16844707 0.52760152
#>  [159,] 0.22888450 0.34493595
#>  [160,] 0.07004623 0.37035072
#>  [161,] 0.13421291 0.32294982
#>  [162,] 0.19373100 0.33881324
#>  [163,] 0.18551806 0.46093283
#>  [164,] 0.17623354 0.50486525
#>  [165,] 0.25228216 0.45688299
#>  [166,] 0.16908931 0.64496700
#>  [167,] 0.16619964 0.36190409
#>  [168,] 0.22386999 0.53174669
#>  [169,] 0.19920642 0.52991043
#>  [170,] 0.13567322 0.46768617
#>  [171,] 0.09484765 0.43146890
#>  [172,] 0.22201632 0.43293817
#>  [173,] 0.22410717 0.43970372
#>  [174,] 0.16676193 0.49920435
#>  [175,] 0.13229426 0.41083558
#>  [176,] 0.21650355 0.41932893
#>  [177,] 0.25757449 0.53081195
#>  [178,] 0.14258742 0.54508409
#>  [179,] 0.13388290 0.52591966
#>  [180,] 0.23442645 0.51063201
#>  [181,] 0.21019404 0.53978922
#>  [182,] 0.21367911 0.67149835
#>  [183,] 0.20042150 0.66201487
#>  [184,] 0.44658601 0.72408496
#>  [185,] 0.42382480 0.87220099
#>  [186,] 0.32232648 0.90637058
#>  [187,] 0.44751248 0.84640681
#>  [188,] 0.26534518 0.60907600
#>  [189,] 0.25436509 0.66267036
#>  [190,] 0.23509116 0.73150148
#>  [191,] 0.38005663 0.78147886
#>  [192,] 0.21769235 0.66257331
#>  [193,] 0.27334071 0.68125660
#>  [194,] 0.44545528 0.79042389
#>  [195,] 0.24784521 0.59697685
#>  [196,] 0.34219061 0.74144877
#>  [197,] 0.36749149 0.72774976
#>  [198,] 0.34364644 0.72491782
#>  [199,] 0.26512259 0.55043861
#>  [200,] 0.30284127 0.66773439
#>  [201,] 0.39817431 0.76685596
#>  [202,] 0.30997988 0.53614739
#>  [203,] 0.27032557 0.65194475
#>  [204,] 0.24349948 0.66707991
#>  [205,] 0.28927849 0.63940432
#>  [206,] 0.19373725 0.71178359
#>  [207,] 0.42415692 0.70625070
#>  [208,] 0.22875790 0.75886811
#>  [209,] 0.27956109 0.74978294
#>  [210,] 0.29499417 0.66840396
#>  [211,] 0.24659638 0.49247319
#>  [212,] 0.33056175 0.60688666
#>  [213,] 0.26469894 0.53767928
#>  [214,] 0.36953806 0.65559343
#>  [215,] 0.21922642 0.53170695
#>  [216,] 0.21464618 0.56671149
#>  [217,] 0.21777445 0.43611849
#>  [218,] 0.17309438 0.52219997
#>  [219,] 0.20404762 0.41290329
#>  [220,] 0.22061697 0.48139495
#>  [221,] 0.16377409 0.52467552
#>  [222,] 0.18232697 0.45476325
#>  [223,] 0.12010237 0.37709782
#>  [224,] 0.17850550 0.37120220
#>  [225,] 0.12346981 0.39105402
#>  [226,] 0.19947370 0.32446119
#>  [227,] 0.19924309 0.30868953
#>  [228,] 0.19009445 0.41265371
#>  [229,] 0.19531222 0.38078567
#>  [230,] 0.20820008 0.41231807
#>  [231,] 0.18176535 0.35414411
#>  [232,] 0.20772056 0.32904900
#>  [233,] 0.20231419 0.38751884
#>  [234,] 0.18297076 0.40755408
#>  [235,] 0.17871136 0.41986370
#>  [236,] 0.22930843 0.47112778
#>  [237,] 0.17257674 0.41536563
#>  [238,] 0.13354569 0.30480255
#>  [239,] 0.12713307 0.41474823
#>  [240,] 0.13962327 0.26157529
#>  [241,] 0.13348872 0.36868935
#>  [242,] 0.12120334 0.36530850
#>  [243,] 0.12090668 0.35155954
#>  [244,] 0.14423409 0.28964375
#>  [245,] 0.17448165 0.30134580
#>  [246,] 0.16803931 0.30864550
#>  [247,] 0.19250887 0.36583955
#>  [248,] 0.18581485 0.38354639
#>  [249,] 0.15460807 0.35586234
#>  [250,] 0.20044620 0.32279462
#>  [251,] 0.11562160 0.37846806
#>  [252,] 0.11334090 0.33809201
#>  [253,] 0.09094732 0.25567053
#>  [254,] 0.05319429 0.23652161
#>  [255,] 0.11670829 0.25790774
#>  [256,] 0.12062373 0.24181063
#>  [257,] 0.06479573 0.21214496
#>  [258,] 0.09334258 0.22164665
#>  [259,] 0.09222443 0.19070200
#>  [260,] 0.05851171 0.24990480
#>  [261,] 0.07264307 0.19029334
#>  [262,] 0.05853913 0.13236711
#>  [263,] 0.07294210 0.15657162
#>  [264,] 0.08475215 0.17255359
#>  [265,] 0.07037974 0.08863416
#>  [266,] 0.05736672 0.17985923
#>  [267,] 0.04240671 0.11736536
#>  [268,] 0.04558817 0.09363636
#>  [269,] 0.04133424 0.11508976
#>  [270,] 0.04852718 0.11010157
#>  [271,] 0.05806655 0.10951745
#>  [272,] 0.05269619 0.16865922
#>  [273,] 0.06217559 0.11042574
#>  [274,] 0.05600663 0.15452708
#>  [275,] 0.06325809 0.39422376
#>  [276,] 0.03822718 0.21172837
#>  [277,] 0.07074041 0.60692373
#>  [278,] 0.11687963 0.48514807
#>  [279,] 0.05433328 0.28253573
#>  [280,] 0.09538924 0.52838718
#>  [281,] 0.05320536 0.35243341
#>  [282,] 0.07686467 0.28389985
#>  [283,] 0.04019769 0.43062090
#>  [284,] 0.09045510 0.29841558
#>  [285,] 0.05849053 0.52787689
#>  [286,] 0.06726626 0.29263110
#>  [287,] 0.07321777 0.41712539
#>  [288,] 0.07692500 0.62753651
#>  [289,] 0.09186937 0.41397513
#>  [290,] 0.14284357 0.56953866
#>  [291,] 0.09133474 0.34041608
#>  [292,] 0.07917487 0.52023385
#>  [293,] 0.14779645 0.40964798
#>  [294,] 0.11806798 0.60524144
#>  [295,] 0.12748177 0.63119469
#>  [296,] 0.14099696 0.47601319
#>  [297,] 0.13468632 0.77483997
#>  [298,] 0.19820716 0.81330841
#>  [299,] 0.15536363 0.49672699
#>  [300,] 0.15121504 0.48617110
#>  [301,] 0.21846048 0.59701537
#>  [302,] 0.15675454 0.63234458
#>  [303,] 0.12538827 0.67188200
#>  [304,] 0.13306416 0.48658930
#>  [305,] 0.13849070 0.69770705
#>  [306,] 0.11809047 0.23213081
#>  [307,] 0.11616894 0.20453636
#>  [308,] 0.08971909 0.26290473
#>  [309,] 0.12280588 0.25057888
#>  [310,] 0.14275279 0.29913985
#>  [311,] 0.15030055 0.28642772
#>  [312,] 0.13817352 0.28104229
#>  [313,] 0.15451528 0.32880430
#>  [314,] 0.10438223 0.47909187
#>  [315,] 0.18822558 0.41844782
#>  [316,] 0.22160467 0.43482100
#>  [317,] 0.16288414 0.48283555
#>  [318,] 0.14285359 0.38618880
#>  [319,] 0.17631718 0.58882720
#>  [320,] 0.26863022 0.55912155
#>  [321,] 0.28783260 0.60896375
#>  [322,] 0.23501404 0.53031045
#>  [323,] 0.18889675 0.58258502
#>  [324,] 0.20320414 0.54862598
#>  [325,] 0.19601531 0.48318234
#>  [326,] 0.22419493 0.50834863
#>  [327,] 0.06944136 0.50493348
#>  [328,] 0.19207017 0.47764869
#>  [329,] 0.24527799 0.61890102
#>  [330,] 0.23617517 0.56741639
#>  [331,] 0.13735308 0.66153663
#>  [332,] 0.20025587 0.51302931
#>  [333,] 0.14097441 0.50941200
#>  [334,] 0.12287173 0.64099511
#>  [335,] 0.20094791 0.58071105
#>  [336,] 0.16557193 0.51036792
#>  [337,] 0.16419334 0.55867281
#>  [338,] 0.29877925 0.56198862
#>  [339,] 0.13690918 0.47599426
#>  [340,] 0.14028621 0.42772583
#>  [341,] 0.12116722 0.32042264
#>  [342,] 0.16669325 0.35365330
#>  [343,] 0.15778550 0.44712569
#>  [344,] 0.15654845 0.42396901
#>  [345,] 0.11346905 0.39484954
#>  [346,] 0.15221867 0.40275853
#>  [347,] 0.06535192 0.36250508
#>  [348,] 0.16436913 0.35488141
#>  [349,] 0.15682181 0.41288603
#>  [350,] 0.10518780 0.32754696
#>  [351,] 0.10173211 0.30660924
#>  [352,] 0.11064822 0.30745969
#>  [353,] 0.11940911 0.33400598
#>  [354,] 0.16955941 0.34873962
#>  [355,] 0.19759904 0.58376259
#>  [356,] 0.15501532 0.38793136
#>  [357,] 0.11208510 0.61128932
#>  [358,] 0.17245251 0.50004255
#>  [359,] 0.12959606 0.33727817
#>  [360,] 0.09921731 0.56902707
#>  [361,] 0.13979724 0.54142547
#>  [362,] 0.23482309 0.60685283
#>  [363,] 0.18115073 0.65827433
#>  [364,] 0.13291125 0.60016465
#>  [365,] 0.13963665 0.59908340
#>  [366,] 0.16712573 0.65545366
#>  [367,] 0.09172408 0.61906147
#>  [368,] 0.19681082 0.51806858
#>  [369,] 0.14507051 0.65603963
#>  [370,] 0.31113996 0.56805850
#>  [371,] 0.22740376 0.51198683
#>  [372,] 0.30242791 0.76428303
#>  [373,] 0.29427096 0.56657110
#>  [374,] 0.28166856 0.66086170
#>  [375,] 0.22707964 0.53523147
#>  [376,] 0.20485112 0.57646903
#>  [377,] 0.16162619 0.42845580
#>  [378,] 0.24728074 0.58615822
#>  [379,] 0.25429621 0.53140743
#>  [380,] 0.23682028 0.50209081
#>  [381,] 0.33900587 0.55699021
#>  [382,] 0.26970166 0.58395807
#>  [383,] 0.22856543 0.63236131
#>  [384,] 0.24376825 0.55509085
#>  [385,] 0.30309736 0.65309042
#>  [386,] 0.21828359 0.51135538
#>  [387,] 0.31983312 0.49728255
#>  [388,] 0.25573926 0.45295501
#>  [389,] 0.20961347 0.47773012
#>  [390,] 0.26706177 0.54980377
#>  [391,] 0.12131609 0.38635014
#>  [392,] 0.12761758 0.30243462
#>  [393,] 0.13621808 0.35971631
#>  [394,] 0.13479893 0.33395328
#>  [395,] 0.13077110 0.33512050
#>  [396,] 0.11269336 0.34792815
#>  [397,] 0.16092870 0.34339299
#>  [398,] 0.08925423 0.24892368
#>  [399,] 0.11827335 0.37248197
#>  [400,] 0.15048424 0.29653432
#>  [401,] 0.12800948 0.30587421
#>  [402,] 0.11610227 0.27435991
#>  [403,] 0.13082576 0.32994035
#>  [404,] 0.08389929 0.29424174
#>  [405,] 0.10570942 0.23053166
#>  [406,] 0.11522015 0.25451362
#>  [407,] 0.13577196 0.21757494
#>  [408,] 0.12222018 0.23700003
#>  [409,] 0.08789546 0.22699749
#>  [410,] 0.06893566 0.18243872
#>  [411,] 0.10366747 0.29589680
#>  [412,] 0.10646942 0.41770150
#>  [413,] 0.11941829 0.38319269
#>  [414,] 0.09055480 0.38912117
#>  [415,] 0.09656121 0.30655173
#>  [416,] 0.09651358 0.30332227
#>  [417,] 0.05243151 0.28263915
#>  [418,] 0.08782524 0.30890291
#>  [419,] 0.10579679 0.31700060
#>  [420,] 0.04184404 0.25503601
#>  [421,] 0.04147626 0.30549884
#>  [422,] 0.06368135 0.31490774
#>  [423,] 0.05801864 0.46482943
#>  [424,] 0.07970452 0.42019892
#>  [425,] 0.09196680 0.24125794
#>  [426,] 0.04912025 0.29719574
#>  [427,] 0.04800309 0.36471682
#>  [428,] 0.05428953 0.28282042
#>  [429,] 0.04816206 0.24976407
#>  [430,] 0.03628430 0.28375020
#>  [431,] 0.05089060 0.27452319
#>  [432,] 0.05069044 0.22913665
#>  [433,] 0.07539367 0.39872190
#>  [434,] 0.04762066 0.23250723
#>  [435,] 0.04587197 0.31526799
#>  [436,] 0.02893313 0.24595860
#>  [437,] 0.03499522 0.26239736
#>  [438,] 0.03179400 0.33986330
#>  [439,] 0.02408983 0.31627787
#>  [440,] 0.02639172 0.24679072
#>  [441,] 0.05929595 0.18870747
#>  [442,] 0.04137296 0.11260551
#>  [443,] 0.05970792 0.14783377
#>  [444,] 0.07495462 0.13753256
#>  [445,] 0.04396816 0.15319078
#>  [446,] 0.07467771 0.12097564
#>  [447,] 0.09388180 0.16098007
#>  [448,] 0.11234155 0.18542499
#>  [449,] 0.11633640 0.21630634
#>  [450,] 0.06704007 0.18809692
#>  [451,] 0.08377365 0.18559074
#>  [452,] 0.06902291 0.16922840
#>  [453,] 0.06029721 0.14585312
#>  [454,] 0.07234882 0.13992073
#>  [455,] 0.12087726 0.20490376
#>  [456,] 0.07608310 0.21326205
#>  [457,] 0.10993900 0.22251092
#>  [458,] 0.11005660 0.21712151
#>  [459,] 0.08722293 0.17787535
#>  [460,] 0.11371772 0.19482537
#>  [461,] 0.06526920 0.19443034
#>  [462,] 0.12892568 0.21523803
#>  [463,] 0.12441600 0.20233715
#>  [464,] 0.08047760 0.26502709
#>  [465,] 0.07746376 0.19701482
#>  [466,] 0.07110628 0.22899614
#>  [467,] 0.06538569 0.20296953
#>  [468,] 0.12794801 0.21165259
#>  [469,] 0.11465783 0.18732113
#>  [470,] 0.12823946 0.30033236
#>  [471,] 0.12754502 0.25262025
#>  [472,] 0.11901803 0.25693488
#>  [473,] 0.09528028 0.30340871
#>  [474,] 0.15576432 0.31034913
#>  [475,] 0.10828906 0.32661728
#>  [476,] 0.17447959 0.27182425
#>  [477,] 0.17834342 0.26955944
#>  [478,] 0.16602938 0.26691614
#>  [479,] 0.04057388 0.20650244
#>  [480,] 0.14794050 0.26390709
#>  [481,] 0.09102905 0.25386438
#>  [482,] 0.11802769 0.23978415
#>  [483,] 0.11600677 0.20519083
#>  [484,] 0.10846964 0.21034848
#>  [485,] 0.13888923 0.23791328
#>  [486,] 0.07891972 0.24128040
#>  [487,] 0.08891864 0.22153672
#>  [488,] 0.11350162 0.24189184
#>  [489,] 0.13121476 0.22716697
#>  [490,] 0.14606972 0.25688395
#>  [491,] 0.12622717 0.24627925
#>  [492,] 0.10014293 0.23247761
#>  [493,] 0.11105196 0.22450242
#>  [494,] 0.15089349 0.24648408
#>  [495,] 0.09770264 0.25138194
#>  [496,] 0.11955465 0.23023816
#>  [497,] 0.12940696 0.21552360
#>  [498,] 0.08351634 0.23390538
#>  [499,] 0.12660059 0.22415487
#>  [500,] 0.15157292 0.23727007
#>  [501,] 0.09497095 0.20619500
#>  [502,] 0.05848578 0.21469351
#>  [503,] 0.05218166 0.20137882
#>  [504,] 0.04720293 0.17300061
#>  [505,] 0.04517240 0.13836503
#>  [506,] 0.13346210 0.29257375
#>  [507,] 0.09402384 0.36219794
#>  [508,] 0.07712363 0.29524128
#>  [509,] 0.12399957 0.29220191
#>  [510,] 0.13534948 0.31204447
#>  [511,] 0.06685418 0.23160641
#>  [512,] 0.16628092 0.25643227
#>  [513,] 0.16088019 0.34645803
#>  [514,] 0.19159679 0.41920376
#>  [515,] 0.18331622 0.38318256
#>  [516,] 0.08255197 0.38717003
#>  [517,] 0.17021684 0.35429782
#>  [518,] 0.17127821 0.37387066
#>  [519,] 0.16170910 0.40400560
#>  [520,] 0.12529983 0.46224076
#>  [521,] 0.10420365 0.32908265
#>  [522,] 0.11736437 0.44397020
#>  [523,] 0.10210807 0.46655662
#>  [524,] 0.11669115 0.30230756
#>  [525,] 0.13656509 0.37421485
#>  [526,] 0.22958974 0.39690700
#>  [527,] 0.11384785 0.38582065
#>  [528,] 0.13934529 0.47920254
#>  [529,] 0.17167257 0.35392301
#>  [530,] 0.13964162 0.40524304
#>  [531,] 0.15800332 0.33054045
#>  [532,] 0.13835035 0.34392619
#>  [533,] 0.15762596 0.38547575
#>  [534,] 0.10903535 0.47628777
#>  [535,] 0.15539021 0.40207996
#>  [536,] 0.15073808 0.46952163
#>  [537,] 0.21358371 0.40509908
#>  [538,] 0.15352757 0.36770074
#>  [539,] 0.17461883 0.40341193
#>  [540,] 0.16645723 0.36484994
#>  [541,] 0.17935742 0.30856692
#>  [542,] 0.11894637 0.32106473
#>  [543,] 0.09466684 0.32654903
#>  [544,] 0.15260827 0.27576671
#>  [545,] 0.12998109 0.30805588
#>  [546,] 0.14617060 0.26833658
#>  [547,] 0.17696101 0.30693170
#>  [548,] 0.11720765 0.29498079
#>  [549,] 0.05249026 0.25523649
#>  [550,] 0.06826852 0.22728064
#>  [551,] 0.05825928 0.10606105
#>  [552,] 0.04455985 0.12564773
#>  [553,] 0.07063088 0.09934341
#>  [554,] 0.06251553 0.10804369
#>  [555,] 0.05435300 0.10618503
#>  [556,] 0.07292115 0.13680049
#>  [557,] 0.04032323 0.12504218
#>  [558,] 0.06460216 0.11076552
#>  [559,] 0.02262832 0.12526998
#>  [560,] 0.04223413 0.12588589
#>  [561,] 0.05137078 0.10954571
#>  [562,] 0.06242024 0.12235276
#>  [563,] 0.06380185 0.12656453
#>  [564,] 0.06244141 0.12975696
#>  [565,] 0.05793546 0.11417854
#>  [566,] 0.02827529 0.14959102
#>  [567,] 0.04421894 0.15019668
#>  [568,] 0.04857733 0.10300588
#>  [569,] 0.04103412 0.11953238
#>  [570,] 0.04035896 0.18171151
#>  [571,] 0.04538214 0.12138130
#>  [572,] 0.06005127 0.13555347
#>  [573,] 0.04464901 0.11783958
#>  [574,] 0.07533775 0.13801589
#>  [575,] 0.06054333 0.15422102
#>  [576,] 0.06074879 0.12411840
#>  [577,] 0.04951509 0.13158532
#>  [578,] 0.06829429 0.14751099
#>  [579,] 0.05458123 0.11216535
#>  [580,] 0.05113875 0.15104782
#>  [581,] 0.04426049 0.15991218
#>  [582,] 0.04798371 0.12324991
#>  [583,] 0.05102270 0.10677881
#>  [584,] 0.01800254 0.13968209
#>  [585,] 0.03751390 0.09929493
#>  [586,] 0.01383303 0.10411927
#>  [587,] 0.02786924 0.08001539
#>  [588,] 0.03430347 0.09558590
#>  [589,] 0.04158291 0.10567677
#>  [590,] 0.04178563 0.11427711
#>  [591,] 0.03072759 0.10269681
#>  [592,] 0.03051730 0.08152743
#>  [593,] 0.02836294 0.07029495
#>  [594,] 0.02205894 0.07017135
#>  [595,] 0.02576243 0.09477509
#>  [596,] 0.03483017 0.08442285
#>  [597,] 0.02669746 0.07214884
#>  [598,] 0.03608479 0.13304313
#>  [599,] 0.02730292 0.08427193
#>  [600,] 0.03787297 0.09652277
#>  [601,] 0.01898569 0.08091532
#>  [602,] 0.03175092 0.09175187
#>  [603,] 0.03879352 0.08759439
#>  [604,] 0.03919016 0.08788542
#>  [605,] 0.03403850 0.08600023
#>  [606,] 0.02000687 0.09830146
#>  [607,] 0.04088158 0.08135078
#>  [608,] 0.02022857 0.08290758
#>  [609,] 0.02651996 0.06937489
#>  [610,] 0.03817434 0.06585503
#>  [611,] 0.01591057 0.05998741
#>  [612,] 0.02275261 0.06593338
#>  [613,] 0.04945545 0.07743116
#>  [614,] 0.03900012 0.08050619
#>  [615,] 0.03947439 0.09641106
#>  [616,] 0.03424144 0.08784706
#>  [617,] 0.06537674 0.09798130
#>  [618,] 0.04308341 0.11511989
#>  [619,] 0.07903294 0.11014207
#>  [620,] 0.05996032 0.10062318
#>  [621,] 0.05705963 0.13003044
#>  [622,] 0.06623295 0.15657908
#>  [623,] 0.07251049 0.12494254
#>  [624,] 0.06909967 0.12128882
#>  [625,] 0.05916653 0.14089919
#>  [626,] 0.08284533 0.14189756
#>  [627,] 0.04355647 0.14328063
#>  [628,] 0.09388829 0.14754191
#>  [629,] 0.08213801 0.13736936
#>  [630,] 0.07217175 0.15797508
#>  [631,] 0.09767888 0.14208641
#>  [632,] 0.08665839 0.13434287
#>  [633,] 0.06628568 0.12510431
#>  [634,] 0.07175066 0.17701503
#>  [635,] 0.09455802 0.18501290
#>  [636,] 0.06651458 0.14149915
#>  [637,] 0.09246944 0.15999558
#>  [638,] 0.08652999 0.15132702
#>  [639,] 0.06634671 0.13752829
#>  [640,] 0.06418991 0.16416254
#>  [641,] 0.06862788 0.17222497
#>  [642,] 0.05910716 0.12197387
#>  [643,] 0.09049213 0.13244127
#>  [644,] 0.05850533 0.12747595
#>  [645,] 0.06647948 0.17703217
#>  [646,] 0.06335968 0.11053284
#>  [647,] 0.06138207 0.15529881
#>  [648,] 0.04096214 0.10793814
#>  [649,] 0.04869249 0.12560597
#>  [650,] 0.03544866 0.07539356
#>  [651,] 0.04780923 0.09575254
#>  [652,] 0.05680922 0.12555787
#>  [653,] 0.02555840 0.13338805
#>  [654,] 0.02436708 0.07736937
#>  [655,] 0.02883693 0.06821712
#>  [656,] 0.03155273 0.05372984
#>  [657,] 0.02025140 0.03579308
#>  [658,] 0.01360958 0.03653863
#>  [659,] 0.01351640 0.03605463
#>  [660,] 0.02130818 0.03881012
#>  [661,] 0.01445043 0.03758476
#>  [662,] 0.01958645 0.03481905
#>  [663,] 0.01793912 0.04857721
#>  [664,] 0.01835493 0.03710355
#>  [665,] 0.01816002 0.04100871
#>  [666,] 0.03141358 0.05524559
#>  [667,] 0.01610998 0.06495195
#>  [668,] 0.03041707 0.05380022
#>  [669,] 0.02100001 0.05740151
#>  [670,] 0.02273508 0.05381451
#>  [671,] 0.02745409 0.04460078
#>  [672,] 0.02980039 0.05242626
#>  [673,] 0.03057400 0.05814684
#>  [674,] 0.02315026 0.05806927
#>  [675,] 0.02670145 0.05105337
#>  [676,] 0.01244783 0.04597520
#>  [677,] 0.02198228 0.04918890
#>  [678,] 0.02132887 0.04651021
#>  [679,] 0.02430131 0.03686761
#>  [680,] 0.01866900 0.04917805
#>  [681,] 0.01503523 0.03694092
#>  [682,] 0.01354809 0.03538723
#>  [683,] 0.01484569 0.04301107
#>  [684,] 0.02588608 0.05862321
#>  [685,] 0.03065698 0.05952346
#>  [686,] 0.02280341 0.06802450
#>  [687,] 0.01877734 0.06819406
#>  [688,] 0.03275340 0.08126158
#>  [689,] 0.02246264 0.05897563
#>  [690,] 0.01985377 0.06835056
#>  [691,] 0.03710383 0.06786168
#>  [692,] 0.04924594 0.08055954
#>  [693,] 0.04735576 0.08672141
#>  [694,] 0.04741192 0.07553340
#>  [695,] 0.02831233 0.09204429
#>  [696,] 0.04099217 0.09192206
#>  [697,] 0.03418536 0.06054332
#>  [698,] 0.05146517 0.08847045
#>  [699,] 0.04835550 0.08467419
#>  [700,] 0.02515743 0.08664180
#>  [701,] 0.01805278 0.07803419
#>  [702,] 0.02944638 0.08173470
#>  [703,] 0.02773790 0.07510748
#>  [704,] 0.04192520 0.06647684
#>  [705,] 0.04679466 0.08173793
#>  [706,] 0.03058387 0.06298460
#>  [707,] 0.02476913 0.07760023
#>  [708,] 0.03709259 0.07603272
#>  [709,] 0.03159376 0.17862796
#>  [710,] 0.04096617 0.19330806
#>  [711,] 0.03939860 0.16815367
#>  [712,] 0.03821348 0.09253459
#>  [713,] 0.04060185 0.16016047
#>  [714,] 0.02694179 0.13320818
#>  [715,] 0.09982282 0.17609114
#>  [716,] 0.04527608 0.20905361
#>  [717,] 0.04508310 0.16001425
#>  [718,] 0.03980246 0.18143482
#>  [719,] 0.06953179 0.19387144
#>  [720,] 0.10610036 0.30710784
#>  [721,] 0.09181406 0.43796856
#>  [722,] 0.05727228 0.22737230
#>  [723,] 0.05972572 0.42082590
#>  [724,] 0.03197803 0.30065638
#>  [725,] 0.06235330 0.30932804
#>  [726,] 0.03478556 0.27105093
#>  [727,] 0.01903281 0.29402457
#>  [728,] 0.09868163 0.34427794
#>  [729,] 0.03067400 0.26220114
#>  [730,] 0.11607855 0.28484085
#>  [731,] 0.08571438 0.28095004
#>  [732,] 0.03315498 0.25027596
#>  [733,] 0.10941935 0.32880812
#>  [734,] 0.10125478 0.24422739
#>  [735,] 0.10070434 0.27365928
#>  [736,] 0.06593624 0.28009077
#>  [737,] 0.04121670 0.25384753
#>  [738,] 0.03609943 0.37857737
#>  [739,] 0.04463872 0.36658057
#>  [740,] 0.06891314 0.27792697
#>  [741,] 0.05710696 0.31283817
#>  [742,] 0.08698931 0.26746387
#>  [743,] 0.04515627 0.26247991
#>  [744,] 0.01709555 0.21381341
#>  [745,] 0.03457911 0.23904991
#>  [746,] 0.04414691 0.18030585
#>  [747,] 0.05183499 0.21661194
#>  [748,] 0.07079221 0.33556507
#>  [749,] 0.10646204 0.26288011
#>  [750,] 0.03872196 0.18364971
#>  [751,] 0.05984603 0.17244756
#>  [752,] 0.08129230 0.17744319
#>  [753,] 0.08440480 0.18765439
#>  [754,] 0.08224127 0.16174708
#>  [755,] 0.06268578 0.18113319
#>  [756,] 0.09703605 0.21001577
#>  [757,] 0.09402515 0.16861869
#>  [758,] 0.12579977 0.17663247
#>  [759,] 0.09905365 0.17829423
#>  [760,] 0.08908993 0.18643100
#>  [761,] 0.11947785 0.19053197
#>  [762,] 0.10193159 0.20430479
#>  [763,] 0.11181143 0.21150012
#>  [764,] 0.08338856 0.16488174
#>  [765,] 0.10422279 0.16781174
#>  [766,] 0.11688082 0.19042223
#>  [767,] 0.10463212 0.19027280
#>  [768,] 0.11308665 0.19015523
#>  [769,] 0.07922230 0.17962571
#>  [770,] 0.08215839 0.18160123
#>  [771,] 0.08080478 0.18097281
#>  [772,] 0.05144987 0.14754009
#>  [773,] 0.08832835 0.17573155
#>  [774,] 0.07406313 0.17617740
#>  [775,] 0.06346065 0.14433336
#>  [776,] 0.05144109 0.17624023
#>  [777,] 0.06489516 0.16773486
#>  [778,] 0.06831649 0.18133705
#>  [779,] 0.05876383 0.13267775
#>  [780,] 0.04931906 0.13314640
#>  [781,] 0.04124242 0.10737611
#>  [782,] 0.04394022 0.13908079
#>  [783,] 0.05084012 0.11811696
#>  [784,] 0.05866350 0.18595407
#>  [785,] 0.05872394 0.11127320
#>  [786,] 0.03863329 0.11365960
#>  [787,] 0.03732667 0.22031866
#>  [788,] 0.04842496 0.20679933
#>  [789,] 0.04891944 0.24061145
#>  [790,] 0.04542288 0.26145157
#>  [791,] 0.04609928 0.20799062
#>  [792,] 0.05061539 0.22484236
#>  [793,] 0.04683911 0.22885029
#>  [794,] 0.04681590 0.23388022
#>  [795,] 0.08974636 0.24773632
#>  [796,] 0.03953551 0.20608016
#>  [797,] 0.07566553 0.22408882
#>  [798,] 0.06294957 0.27814799
#>  [799,] 0.05008168 0.25342446
#>  [800,] 0.07162830 0.22311644
#>  [801,] 0.08762422 0.30633730
#>  [802,] 0.05907582 0.31186724
#>  [803,] 0.06553558 0.25212012
#>  [804,] 0.06928716 0.26816845
#>  [805,] 0.07354843 0.25145422
#>  [806,] 0.13316791 0.33115404
#>  [807,] 0.06036369 0.30066492
#>  [808,] 0.04830734 0.25435013
#>  [809,] 0.05320516 0.26232676
#>  [810,] 0.03738084 0.26963468
#>  [811,] 0.03384543 0.26466139
#>  [812,] 0.06830690 0.25735916
#>  [813,] 0.16931626 0.25305563
#>  [814,] 0.07550565 0.29286219
#>  [815,] 0.05336961 0.46117885
#>  [816,] 0.07049188 0.30161131
#>  [817,] 0.14633284 0.33278583
#>  [818,] 0.06391262 0.37923066
#>  [819,] 0.05411275 0.27812708
#>  [820,] 0.03611593 0.31317124
#>  [821,] 0.07974063 0.52219629
#>  [822,] 0.06798129 0.43416578
#>  [823,] 0.09276476 0.35296382
#>  [824,] 0.05985278 0.35985610
#>  [825,] 0.11309674 0.41597005
#>  [826,] 0.15211896 0.43634149
#>  [827,] 0.19786494 0.44323644
#>  [828,] 0.24345381 0.53475443
#>  [829,] 0.12396727 0.39402554
#>  [830,] 0.23883981 0.50037877
#>  [831,] 0.14503422 0.45227313
#>  [832,] 0.25479487 0.45305147
#>  [833,] 0.18953352 0.50560265
#>  [834,] 0.20602848 0.51195643
#>  [835,] 0.14520986 0.38792644
#>  [836,] 0.25325994 0.44228596
#>  [837,] 0.08936816 0.42858869
#>  [838,] 0.14363962 0.53774674
#>  [839,] 0.13363206 0.51409564
#>  [840,] 0.13481791 0.53916689
#>  [841,] 0.10678524 0.42506729
#>  [842,] 0.14374563 0.48165473
#>  [843,] 0.09623417 0.48672757
#>  [844,] 0.12426608 0.45329543
#>  [845,] 0.14917563 0.44856667
#>  [846,] 0.06127952 0.24255495
#>  [847,] 0.11734235 0.22041675
#>  [848,] 0.03509745 0.21504988
#>  [849,] 0.10455573 0.20636740
#>  [850,] 0.05129703 0.24058028
#>  [851,] 0.05694823 0.23824723
#>  [852,] 0.05847977 0.15696038
#>  [853,] 0.05795998 0.13660060
#>  [854,] 0.04703416 0.17576696
#>  [855,] 0.06328038 0.13586060
#>  [856,] 0.04651852 0.11251381
#>  [857,] 0.02104612 0.10850187
#>  [858,] 0.04458328 0.12957058
#>  [859,] 0.05379687 0.12354089
#>  [860,] 0.01881169 0.05253459
#>  [861,] 0.01745675 0.26684589
#>  [862,] 0.02235159 0.26860770
#>  [863,] 0.02436662 0.33113937
#>  [864,] 0.09523876 0.50571734
#>  [865,] 0.08896628 0.65934987
#>  [866,] 0.08674390 0.37070105
#>  [867,] 0.08239937 0.49067999
#>  [868,] 0.11031477 0.42867646
#>  [869,] 0.04118706 0.33369172
#>  [870,] 0.04654779 0.59376070
#>  [871,] 0.09944480 0.45285662
#>  [872,] 0.10313091 0.47273928
#>  [873,] 0.16667218 0.48617767
#>  [874,] 0.20593941 0.48717826
#>  [875,] 0.10611136 0.37330105
#>  [876,] 0.12502924 0.60590931
#>  [877,] 0.13162100 0.46912565
#>  [878,] 0.13380357 0.53118099
#>  [879,] 0.19384088 0.64076110
#>  [880,] 0.13159014 0.63889640
#>  [881,] 0.31717992 0.58108308
#>  [882,] 0.31170847 0.59285889
#>  [883,] 0.29943161 0.59047911
#>  [884,] 0.22383721 0.68447189
#>  [885,] 0.19353851 0.63723133
#>  [886,] 0.27623021 0.73642586
#>  [887,] 0.19171420 0.84167170
#>  [888,] 0.35971969 0.60461907
#>  [889,] 0.34023500 0.71240927
#>  [890,] 0.36943369 0.63812957
#>  [891,] 0.29005206 0.83966237
#>  [892,] 0.31637632 0.80443594
#>  [893,] 0.21454280 0.63629896
#>  [894,] 0.23984889 0.71822480
#>  [895,] 0.16953419 0.33461299
#>  [896,] 0.08803705 0.45439316
#>  [897,] 0.12081369 0.37153312
#>  [898,] 0.14561008 0.33196327
#>  [899,] 0.11872194 0.35653223
#>  [900,] 0.14404418 0.39775697
#>  [901,] 0.12555786 0.35216212
#>  [902,] 0.15842673 0.35573193
#>  [903,] 0.20973570 0.47756402
#>  [904,] 0.19698816 0.46115130
#>  [905,] 0.21472245 0.42263483
#>  [906,] 0.11392443 0.47423523
#>  [907,] 0.13951413 0.41030017
#>  [908,] 0.17061172 0.43519762
#>  [909,] 0.10298779 0.41156139
#>  [910,] 0.13387375 0.36404646
#>  [911,] 0.09576558 0.43177978
#>  [912,] 0.11688764 0.21530526
#>  [913,] 0.09390672 0.36453889
#>  [914,] 0.06705924 0.24262534
#>  [915,] 0.06846842 0.24738448
#>  [916,] 0.04572022 0.30242590
#>  [917,] 0.04819049 0.26412443
#>  [918,] 0.08219741 0.23730225
#>  [919,] 0.04010023 0.25020901
#>  [920,] 0.03799114 0.19642094
#>  [921,] 0.05751206 0.15175892
#>  [922,] 0.04358315 0.16980921
#>  [923,] 0.03012618 0.14266371
#>  [924,] 0.02847537 0.10494518
#>  [925,] 0.01987320 0.15091056
#>  [926,] 0.04552587 0.15137568
#>  [927,] 0.04175124 0.13440083
#>  [928,] 0.03445195 0.14848310
#>  [929,] 0.03361368 0.13353682
#>  [930,] 0.03419847 0.13933459
#>  [931,] 0.04490489 0.20385463
#>  [932,] 0.05297547 0.20391001
#>  [933,] 0.02321180 0.14968530
#>  [934,] 0.03638526 0.20082018
#>  [935,] 0.02623058 0.11573846
#>  [936,] 0.04449551 0.21567125
#>  [937,] 0.03471273 0.08844818
#>  [938,] 0.02729075 0.09257694
#>  [939,] 0.02425985 0.11301351
#>  [940,] 0.02758775 0.09820606
#>  [941,] 0.04689868 0.10156744
#>  [942,] 0.03069906 0.11140284
#>  [943,] 0.05444046 0.13068051
#>  [944,] 0.03521404 0.13844802
#>  [945,] 0.02846090 0.14251681
#>  [946,] 0.04298971 0.13464344
#>  [947,] 0.03269636 0.09646684
#>  [948,] 0.03991044 0.11426463
#>  [949,] 0.04691071 0.11689182
#>  [950,] 0.03942319 0.12011487
#>  [951,] 0.02740986 0.12903183
#>  [952,] 0.03803467 0.16143258
#>  [953,] 0.03480807 0.08162376
#>  [954,] 0.03534284 0.08780927
#>  [955,] 0.02566982 0.11514753
#>  [956,] 0.05792757 0.10396145
#>  [957,] 0.03988110 0.09818084
#>  [958,] 0.03446607 0.11925690
#>  [959,] 0.02856083 0.09835200
#>  [960,] 0.04110387 0.11897812
#>  [961,] 0.05264322 0.08544334
#>  [962,] 0.03854716 0.11503204
#>  [963,] 0.03529889 0.08977649
#>  [964,] 0.05772181 0.11644973
#>  [965,] 0.06643068 0.09696316
#>  [966,] 0.05471591 0.10034386
#>  [967,] 0.02727883 0.09525388
#>  [968,] 0.04152046 0.10133982
#>  [969,] 0.05837466 0.10818755
#>  [970,] 0.04840851 0.12119064
#>  [971,] 0.04369669 0.09437644
#>  [972,] 0.05474590 0.09285168
#>  [973,] 0.06024765 0.10847894
#>  [974,] 0.04309852 0.11720733
#>  [975,] 0.03260231 0.10105521
#>  [976,] 0.02693191 0.09542457
#>  [977,] 0.04561084 0.10852086
#>  [978,] 0.03673722 0.10509076
#>  [979,] 0.02717481 0.08556620
#>  [980,] 0.02331698 0.11287124
#>  [981,] 0.03698209 0.09789876
#>  [982,] 0.05506591 0.10546808
#>  [983,] 0.03484880 0.12059154
#>  [984,] 0.02870847 0.11945558
#>  [985,] 0.03885771 0.13370448
#>  [986,] 0.04472919 0.10121248
#>  [987,] 0.06992197 0.13558570
#>  [988,] 0.03983585 0.12922174
#>  [989,] 0.03273041 0.13307123
#>  [990,] 0.04124460 0.14012190
#>  [991,] 0.06466810 0.11982180
#>  [992,] 0.04099687 0.13491425
#>  [993,] 0.04011179 0.13046808
#>  [994,] 0.06429561 0.11646446
#>  [995,] 0.05341566 0.10901153
#>  [996,] 0.02826429 0.09183147
#>  [997,] 0.04459154 0.07504440
#>  [998,] 0.03578589 0.11387926
#>  [999,] 0.05018210 0.11137901
#> [1000,] 0.03951795 0.07889170
#> [1001,] 0.04634470 0.08501634
#> [1002,] 0.04060089 0.11334131
#> [1003,] 0.03039179 0.08962630
#> [1004,] 0.02464568 0.10874306
#> [1005,] 0.03022504 0.08100680
#> [1006,] 0.02152253 0.07218475
#> [1007,] 0.03626719 0.10684017
#> [1008,] 0.03900654 0.12423916
#> [1009,] 0.02874898 0.09389662
#> [1010,] 0.05072840 0.09452572
#> [1011,] 0.04966529 0.12220566
#> [1012,] 0.06507468 0.09578359
#> [1013,] 0.05039176 0.09311066
#> [1014,] 0.03607274 0.10287960
#> [1015,] 0.02580420 0.08305882
#> [1016,] 0.02914008 0.07860512
#> [1017,] 0.03017519 0.05551473
#> [1018,] 0.02949844 0.07793523
#> [1019,] 0.02579641 0.08151646
#> [1020,] 0.04566885 0.09256921
#> [1021,] 0.03302607 0.12896564
#> [1022,] 0.04780461 0.11395390
#> [1023,] 0.05132850 0.12552878
#> [1024,] 0.04394605 0.10947219
#> [1025,] 0.03473945 0.14970993
#> [1026,] 0.05710878 0.12894816
#> [1027,] 0.04676378 0.11999665
#> [1028,] 0.04327525 0.14938938
#> [1029,] 0.07865044 0.14511671
#> [1030,] 0.03708428 0.16072165
#> [1031,] 0.03507605 0.14199527
#> [1032,] 0.05017572 0.21608236
#> [1033,] 0.07801683 0.18759009
#> [1034,] 0.10957858 0.21199518
#> [1035,] 0.09482272 0.20243007
#> [1036,] 0.12291817 0.27537848
#> [1037,] 0.13106125 0.25647953
#> [1038,] 0.09141002 0.22130176
#> [1039,] 0.10995237 0.21984420
#> [1040,] 0.09623339 0.20037443
#> [1041,] 0.11278159 0.21415998
#> [1042,] 0.10836988 0.26323685
#> [1043,] 0.11700459 0.28419182
#> [1044,] 0.12793554 0.27248267
#> [1045,] 0.10332312 0.27284059
#> [1046,] 0.07357800 0.23231812
#> [1047,] 0.10638673 0.25684372
#> [1048,] 0.09885041 0.28349996
#> [1049,] 0.07733635 0.21376303
#> [1050,] 0.11439378 0.22603459
#> [1051,] 0.08849079 0.16416932
#> [1052,] 0.07089075 0.15730492
#> [1053,] 0.07823740 0.14305985
#> [1054,] 0.11160643 0.17977611
#> [1055,] 0.11570420 0.23889151
#> [1056,] 0.07523326 0.30679353
#> [1057,] 0.09616550 0.20514339
#> [1058,] 0.11488568 0.28661824
#> [1059,] 0.13310954 0.33882956
#> [1060,] 0.18118669 0.34116161
#> [1061,] 0.15364858 0.38210719
#> [1062,] 0.16061039 0.30608535
#> [1063,] 0.15202212 0.36278142
#> [1064,] 0.11361387 0.34318937
#> [1065,] 0.17702783 0.34748923
#> [1066,] 0.11894701 0.29024280
#> [1067,] 0.09942214 0.30435939
#> [1068,] 0.13031870 0.31913629
#> [1069,] 0.14868250 0.37258203
#> [1070,] 0.12799608 0.35021801
#> [1071,] 0.12088455 0.33523585
#> [1072,] 0.09650759 0.33352775
#> [1073,] 0.11265662 0.34846909
#> [1074,] 0.13806546 0.31660026
#> [1075,] 0.09721343 0.31385566
#> [1076,] 0.09637745 0.37720187
#> [1077,] 0.07350899 0.33207744
#> [1078,] 0.06677312 0.32287524
#> [1079,] 0.11045992 0.32625766
#> [1080,] 0.17542246 0.36596153
#> [1081,] 0.12284001 0.41551293
#> [1082,] 0.07965443 0.36695232
#> [1083,] 0.12486646 0.39671217
#> [1084,] 0.18044894 0.31074958
#> [1085,] 0.12544468 0.36923428
#> [1086,] 0.09437873 0.24765052
#> [1087,] 0.11572433 0.33658098
#> [1088,] 0.05318241 0.33068466
#> [1089,] 0.06074210 0.15623191
#> [1090,] 0.05413214 0.12264129
#> [1091,] 0.06343706 0.12625956
#> [1092,] 0.03949548 0.12474837
#> [1093,] 0.03914156 0.09823419
#> [1094,] 0.05299738 0.16650359
#> [1095,] 0.04881865 0.12231917
#> [1096,] 0.05077309 0.16689768
#> [1097,] 0.06740517 0.20195987
#> [1098,] 0.07133973 0.19277504
#> [1099,] 0.06386790 0.26514702
#> [1100,] 0.06087834 0.44020850
#> [1101,] 0.05351714 0.18614243
#> [1102,] 0.08968863 0.22270135
#> [1103,] 0.06956727 0.23821916
#> [1104,] 0.05194981 0.26691878
#> [1105,] 0.06779921 0.22990918
#> [1106,] 0.08074341 0.19120813
#> [1107,] 0.10550805 0.28240496
#> [1108,] 0.10846646 0.27498522
#> [1109,] 0.07956221 0.18538135
#> [1110,] 0.08088023 0.24820903
#> [1111,] 0.06650194 0.35873308
#> [1112,] 0.07535288 0.18994267
#> [1113,] 0.09892720 0.21342036
#> [1114,] 0.06055181 0.19660381
#> [1115,] 0.07742856 0.19067457
#> [1116,] 0.10746261 0.33394473
#> [1117,] 0.07471886 0.23001815
#> [1118,] 0.05599061 0.24424006
#> [1119,] 0.09192472 0.24634386
#> [1120,] 0.06852243 0.34084992
#> [1121,] 0.06023128 0.32043224
#> [1122,] 0.06841041 0.44625200
#> [1123,] 0.05251401 0.27654922
#> [1124,] 0.10255623 0.31753199
#> [1125,] 0.02997604 0.49877990
#> [1126,] 0.08940683 0.36406454
# }