Apply Rolling Functions using Circular Statistical Tests for Uniformity
Source:R/roll_statistics.R
rolling_test.Rd
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. IfNULL
, an optimal width is estimated.- by.column
logical. If
TRUE
, FUN is applied to each column separately.- partial
logical or numeric. If
FALSE
thenFUN
is only applied when all indexes of the rolling window are within the observed time range. IfTRUE
(default), then the subset of indexes that are in range are passed toFUN
. 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
andy
, respectively. A vector of positive numbers and of the same length asx
.- 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
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics 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,] 0.15762027 0.32347729
#> [2,] 0.14860671 0.27692185
#> [3,] 0.11550157 0.27620394
#> [4,] 0.17342662 0.28259445
#> [5,] 0.14166003 0.30039702
#> [6,] 0.16467734 0.37784068
#> [7,] 0.12787407 0.33383814
#> [8,] 0.18062452 0.30375385
#> [9,] 0.09496981 0.22974966
#> [10,] 0.16688119 0.28984764
#> [11,] 0.15239479 0.25066530
#> [12,] 0.12223870 0.33718040
#> [13,] 0.17831721 0.32620344
#> [14,] 0.14101088 0.28301648
#> [15,] 0.13808306 0.21640255
#> [16,] 0.07429065 0.29107939
#> [17,] 0.13378912 0.33957215
#> [18,] 0.11906295 0.37273413
#> [19,] 0.13017794 0.31221510
#> [20,] 0.11538988 0.35240705
#> [21,] 0.22491271 0.38190196
#> [22,] 0.21060354 0.35731746
#> [23,] 0.16138072 0.38450462
#> [24,] 0.16232434 0.43188334
#> [25,] 0.19774819 0.48697402
#> [26,] 0.23257255 0.51989094
#> [27,] 0.34926569 0.63650158
#> [28,] 0.22962939 0.72972444
#> [29,] 0.33610712 0.64194812
#> [30,] 0.35778343 0.85611355
#> [31,] 0.38448331 0.84142426
#> [32,] 0.40279245 0.76354938
#> [33,] 0.53266298 0.79954003
#> [34,] 0.41109354 0.84583152
#> [35,] 0.48438144 0.87319077
#> [36,] 0.38646552 0.96192975
#> [37,] 0.43920691 0.90199073
#> [38,] 0.57548501 0.89546716
#> [39,] 0.54233715 0.87617197
#> [40,] 0.37972755 0.93908071
#> [41,] 0.43992137 0.94458862
#> [42,] 0.51245989 0.97403537
#> [43,] 0.52258898 0.94901748
#> [44,] 0.55345037 0.91156812
#> [45,] 0.31079154 0.91519452
#> [46,] 0.53577745 0.94335373
#> [47,] 0.52918022 0.97132686
#> [48,] 0.59626487 0.89606673
#> [49,] 0.49476378 0.88290216
#> [50,] 0.38134326 0.59219598
#> [51,] 0.23434853 0.49546143
#> [52,] 0.20525640 0.50938811
#> [53,] 0.21972322 0.55968658
#> [54,] 0.24757058 0.64784690
#> [55,] 0.31571122 0.65832924
#> [56,] 0.26520205 0.69162887
#> [57,] 0.41728614 0.86292570
#> [58,] 0.47133672 0.60292203
#> [59,] 0.43765663 0.84386905
#> [60,] 0.45713124 0.87333961
#> [61,] 0.50624964 0.78111871
#> [62,] 0.59724291 0.93557233
#> [63,] 0.43516130 0.84619345
#> [64,] 0.47559282 0.75304265
#> [65,] 0.44407859 0.75574815
#> [66,] 0.45912408 0.87540700
#> [67,] 0.56134628 0.88559455
#> [68,] 0.57528057 0.86483342
#> [69,] 0.59831314 0.97352935
#> [70,] 0.70648031 0.91259257
#> [71,] 0.66354240 0.97811637
#> [72,] 0.57560414 0.89775569
#> [73,] 0.58927791 0.88736455
#> [74,] 0.54321463 0.90611466
#> [75,] 0.51262379 0.86356504
#> [76,] 0.56449842 0.88654118
#> [77,] 0.58802146 0.87281829
#> [78,] 0.40731431 0.77121655
#> [79,] 0.51686371 0.77060969
#> [80,] 0.33656873 0.68928656
#> [81,] 0.24048297 0.62319801
#> [82,] 0.30444723 0.43247787
#> [83,] 0.22448819 0.42051126
#> [84,] 0.20810431 0.36250827
#> [85,] 0.17061122 0.39721125
#> [86,] 0.13276159 0.37024976
#> [87,] 0.18393007 0.36874638
#> [88,] 0.16470414 0.35374703
#> [89,] 0.10584217 0.36798224
#> [90,] 0.15162277 0.39491407
#> [91,] 0.15147516 0.48953950
#> [92,] 0.13585866 0.23385094
#> [93,] 0.08879944 0.22129922
#> [94,] 0.10621524 0.24911173
#> [95,] 0.09395582 0.14967918
#> [96,] 0.05500933 0.19631813
#> [97,] 0.06595832 0.18926715
#> [98,] 0.10341056 0.29797020
#> [99,] 0.06736819 0.10235492
#> [100,] 0.06149675 0.13442852
#> [101,] 0.06390282 0.10497015
#> [102,] 0.06402898 0.11481879
#> [103,] 0.05345551 0.12625853
#> [104,] 0.06738500 0.10733098
#> [105,] 0.05727617 0.12940428
#> [106,] 0.05636880 0.09587652
#> [107,] 0.03871668 0.09472244
#> [108,] 0.03493845 0.11161284
#> [109,] 0.03596520 0.12287244
#> [110,] 0.05214574 0.11543973
#> [111,] 0.07620067 0.12294358
#> [112,] 0.02690374 0.12910062
#> [113,] 0.03932127 0.10164964
#> [114,] 0.06469569 0.11817214
#> [115,] 0.07779976 0.15170876
#> [116,] 0.07874190 0.12407238
#> [117,] 0.06971715 0.12933719
#> [118,] 0.06954117 0.10858085
#> [119,] 0.07314233 0.12572190
#> [120,] 0.08411589 0.14940533
#> [121,] 0.06132892 0.13894911
#> [122,] 0.06240284 0.13211571
#> [123,] 0.07054203 0.11727229
#> [124,] 0.05798985 0.29739628
#> [125,] 0.08552112 0.21396836
#> [126,] 0.10159922 0.31453798
#> [127,] 0.09572842 0.24034939
#> [128,] 0.05626178 0.27437305
#> [129,] 0.06390376 0.32226550
#> [130,] 0.08803260 0.26699592
#> [131,] 0.07579441 0.20554830
#> [132,] 0.06600489 0.16800258
#> [133,] 0.10546575 0.30909444
#> [134,] 0.08577795 0.23025805
#> [135,] 0.08838218 0.23154734
#> [136,] 0.06550039 0.17465300
#> [137,] 0.09804549 0.18652607
#> [138,] 0.06849665 0.18089181
#> [139,] 0.11769525 0.24465092
#> [140,] 0.13644633 0.24372151
#> [141,] 0.09320184 0.22709871
#> [142,] 0.13600666 0.19835242
#> [143,] 0.10212058 0.20646089
#> [144,] 0.09112670 0.28699772
#> [145,] 0.15864151 0.27058166
#> [146,] 0.15851086 0.29067669
#> [147,] 0.17639271 0.31950271
#> [148,] 0.11311579 0.24637309
#> [149,] 0.11118457 0.34883025
#> [150,] 0.14353298 0.24572344
#> [151,] 0.08225764 0.21996715
#> [152,] 0.13658913 0.29018424
#> [153,] 0.10549260 0.39126877
#> [154,] 0.15328720 0.29526790
#> [155,] 0.09452721 0.24409437
#> [156,] 0.15083623 0.24751840
#> [157,] 0.14001478 0.45946199
#> [158,] 0.19738822 0.45032600
#> [159,] 0.19154961 0.35712935
#> [160,] 0.07042636 0.38610745
#> [161,] 0.21067167 0.31649367
#> [162,] 0.16235311 0.36743202
#> [163,] 0.16231394 0.44900998
#> [164,] 0.17223717 0.51130951
#> [165,] 0.20756411 0.45319695
#> [166,] 0.18396169 0.62670967
#> [167,] 0.15425833 0.45427972
#> [168,] 0.17824188 0.56170408
#> [169,] 0.21436347 0.50724522
#> [170,] 0.14103404 0.46342516
#> [171,] 0.10159475 0.46361462
#> [172,] 0.22608308 0.43785681
#> [173,] 0.25021027 0.45530095
#> [174,] 0.17009057 0.51214664
#> [175,] 0.14818673 0.48063305
#> [176,] 0.22807885 0.40499277
#> [177,] 0.25588194 0.51579917
#> [178,] 0.16229722 0.46269176
#> [179,] 0.11892885 0.54082032
#> [180,] 0.23851096 0.47350942
#> [181,] 0.20977299 0.55963784
#> [182,] 0.19636707 0.65390008
#> [183,] 0.20858421 0.73281006
#> [184,] 0.31623421 0.70742227
#> [185,] 0.29426562 0.81779756
#> [186,] 0.33368268 0.86165425
#> [187,] 0.36024984 0.79738907
#> [188,] 0.27386853 0.61074172
#> [189,] 0.23362499 0.58969948
#> [190,] 0.23705088 0.77243606
#> [191,] 0.39726925 0.78758064
#> [192,] 0.22611862 0.61892855
#> [193,] 0.24423548 0.71578799
#> [194,] 0.46004102 0.72876283
#> [195,] 0.22833734 0.57219703
#> [196,] 0.39570847 0.71973310
#> [197,] 0.34688098 0.74117453
#> [198,] 0.39030893 0.70143266
#> [199,] 0.20508777 0.53369268
#> [200,] 0.27903458 0.60872873
#> [201,] 0.38581301 0.81899218
#> [202,] 0.30258918 0.61730981
#> [203,] 0.27025909 0.66482533
#> [204,] 0.19626590 0.66705813
#> [205,] 0.32960214 0.56958990
#> [206,] 0.19416385 0.73203673
#> [207,] 0.48021843 0.65096364
#> [208,] 0.29814147 0.70867712
#> [209,] 0.26307876 0.61272510
#> [210,] 0.32940706 0.63975310
#> [211,] 0.32684111 0.51023699
#> [212,] 0.27367672 0.66828755
#> [213,] 0.23517313 0.50341454
#> [214,] 0.30363299 0.65742278
#> [215,] 0.21121099 0.51107251
#> [216,] 0.19934006 0.57542199
#> [217,] 0.21304051 0.42534174
#> [218,] 0.17197127 0.51479005
#> [219,] 0.16134806 0.48346900
#> [220,] 0.24839306 0.46705611
#> [221,] 0.16780557 0.49338330
#> [222,] 0.17911870 0.42623483
#> [223,] 0.13235695 0.37642647
#> [224,] 0.18525004 0.35865923
#> [225,] 0.12138843 0.40329908
#> [226,] 0.20557309 0.36661875
#> [227,] 0.16869728 0.31009661
#> [228,] 0.20135007 0.36729276
#> [229,] 0.19423635 0.39557247
#> [230,] 0.24512728 0.38135523
#> [231,] 0.16923750 0.35532240
#> [232,] 0.20385946 0.29378481
#> [233,] 0.21881450 0.41186885
#> [234,] 0.17885095 0.37145101
#> [235,] 0.16632398 0.40449623
#> [236,] 0.21366684 0.44558493
#> [237,] 0.17883387 0.40702748
#> [238,] 0.11999151 0.34440296
#> [239,] 0.11594939 0.40690917
#> [240,] 0.14107843 0.27365900
#> [241,] 0.14094118 0.33670618
#> [242,] 0.14735665 0.34024032
#> [243,] 0.11058800 0.30818776
#> [244,] 0.12185920 0.32320500
#> [245,] 0.17311111 0.32013008
#> [246,] 0.16373545 0.33452944
#> [247,] 0.16054720 0.35980647
#> [248,] 0.19208766 0.43951001
#> [249,] 0.16257050 0.40666880
#> [250,] 0.15779210 0.36872883
#> [251,] 0.12623870 0.32597033
#> [252,] 0.11145873 0.31428323
#> [253,] 0.08612136 0.27151489
#> [254,] 0.05908366 0.23407208
#> [255,] 0.10518114 0.23852490
#> [256,] 0.10330389 0.21676849
#> [257,] 0.06737563 0.23401196
#> [258,] 0.11413085 0.21431200
#> [259,] 0.07987769 0.21113424
#> [260,] 0.05808861 0.25635435
#> [261,] 0.07187657 0.19994838
#> [262,] 0.06132804 0.16516489
#> [263,] 0.07312833 0.15639321
#> [264,] 0.07023141 0.18420046
#> [265,] 0.06201218 0.10418105
#> [266,] 0.06355718 0.16250156
#> [267,] 0.03560499 0.11733326
#> [268,] 0.04094767 0.09226170
#> [269,] 0.04625551 0.11564341
#> [270,] 0.04979392 0.11311135
#> [271,] 0.06545785 0.15912848
#> [272,] 0.05277202 0.20203182
#> [273,] 0.06777676 0.10742063
#> [274,] 0.05531748 0.19971268
#> [275,] 0.06258730 0.43981733
#> [276,] 0.04044482 0.29861511
#> [277,] 0.06891010 0.49799308
#> [278,] 0.14811978 0.44594513
#> [279,] 0.06983199 0.30674375
#> [280,] 0.09600952 0.52068177
#> [281,] 0.06722952 0.36455588
#> [282,] 0.07365200 0.32408337
#> [283,] 0.03964816 0.41366052
#> [284,] 0.09263705 0.34677116
#> [285,] 0.06953901 0.64524800
#> [286,] 0.06903946 0.33481654
#> [287,] 0.07083742 0.43906939
#> [288,] 0.06969335 0.62134950
#> [289,] 0.08766352 0.42520672
#> [290,] 0.13857047 0.46979639
#> [291,] 0.12350283 0.39934300
#> [292,] 0.08288402 0.43743767
#> [293,] 0.15771013 0.42572245
#> [294,] 0.13327739 0.68852794
#> [295,] 0.11784423 0.63715193
#> [296,] 0.21423815 0.65115001
#> [297,] 0.16909355 0.77467517
#> [298,] 0.16792002 0.79339548
#> [299,] 0.19119917 0.45218560
#> [300,] 0.14583465 0.61458492
#> [301,] 0.16584727 0.58157273
#> [302,] 0.17835217 0.65340973
#> [303,] 0.14375051 0.66626343
#> [304,] 0.13653415 0.35259116
#> [305,] 0.13479454 0.70223961
#> [306,] 0.13994523 0.23016769
#> [307,] 0.11579336 0.19456679
#> [308,] 0.12387699 0.29046703
#> [309,] 0.10961240 0.23049436
#> [310,] 0.18002075 0.29550957
#> [311,] 0.13991871 0.28239641
#> [312,] 0.14860758 0.24131898
#> [313,] 0.12811640 0.33686920
#> [314,] 0.10607941 0.46268797
#> [315,] 0.17688278 0.41249021
#> [316,] 0.21343462 0.45375381
#> [317,] 0.15038695 0.49624846
#> [318,] 0.16976361 0.34505993
#> [319,] 0.19427485 0.61291037
#> [320,] 0.25665604 0.54570260
#> [321,] 0.24952861 0.60644989
#> [322,] 0.20910273 0.67655374
#> [323,] 0.18561586 0.48898843
#> [324,] 0.24544037 0.55319493
#> [325,] 0.19839104 0.48684284
#> [326,] 0.13763156 0.51051127
#> [327,] 0.09333553 0.49672862
#> [328,] 0.16770465 0.49977364
#> [329,] 0.21718529 0.64750028
#> [330,] 0.18762407 0.56095610
#> [331,] 0.14976401 0.64890291
#> [332,] 0.21488473 0.48190491
#> [333,] 0.15869073 0.53236647
#> [334,] 0.14919237 0.50973931
#> [335,] 0.18947413 0.60313390
#> [336,] 0.15307233 0.51814368
#> [337,] 0.19252507 0.56882722
#> [338,] 0.21552220 0.56654570
#> [339,] 0.13846108 0.43956371
#> [340,] 0.16774189 0.44993793
#> [341,] 0.09964976 0.34920561
#> [342,] 0.13913573 0.38452466
#> [343,] 0.11356715 0.41855219
#> [344,] 0.15814304 0.43320299
#> [345,] 0.09815519 0.38381290
#> [346,] 0.17010895 0.43382920
#> [347,] 0.07530809 0.36553141
#> [348,] 0.15819717 0.33529176
#> [349,] 0.11032007 0.33918873
#> [350,] 0.10218247 0.32396215
#> [351,] 0.09640804 0.31495928
#> [352,] 0.13270012 0.32961979
#> [353,] 0.11416215 0.32751550
#> [354,] 0.15081304 0.31897892
#> [355,] 0.17990084 0.60491916
#> [356,] 0.17294782 0.51104239
#> [357,] 0.14147798 0.64727772
#> [358,] 0.16013435 0.51512665
#> [359,] 0.13115085 0.34764513
#> [360,] 0.09032571 0.47406701
#> [361,] 0.15022161 0.54859880
#> [362,] 0.18770120 0.60115332
#> [363,] 0.20477890 0.71134384
#> [364,] 0.09298733 0.61250968
#> [365,] 0.15123202 0.35359697
#> [366,] 0.16856947 0.65391100
#> [367,] 0.07050917 0.64571135
#> [368,] 0.16532314 0.48970275
#> [369,] 0.13645163 0.61932650
#> [370,] 0.28708891 0.52539343
#> [371,] 0.21937923 0.53588300
#> [372,] 0.30645226 0.73311178
#> [373,] 0.28826783 0.59718870
#> [374,] 0.32304251 0.65159812
#> [375,] 0.23643950 0.56732064
#> [376,] 0.19678597 0.61700617
#> [377,] 0.16138433 0.48552724
#> [378,] 0.27769076 0.53865875
#> [379,] 0.27775830 0.50427423
#> [380,] 0.25669548 0.50797667
#> [381,] 0.30033373 0.64399978
#> [382,] 0.27840213 0.59843965
#> [383,] 0.30243764 0.59926385
#> [384,] 0.24371740 0.59135320
#> [385,] 0.33794570 0.65406169
#> [386,] 0.20771306 0.47914430
#> [387,] 0.32007590 0.51949191
#> [388,] 0.29664091 0.53385414
#> [389,] 0.23887121 0.47422845
#> [390,] 0.27629827 0.62920171
#> [391,] 0.11932007 0.40563201
#> [392,] 0.15917473 0.31951154
#> [393,] 0.11715438 0.39077022
#> [394,] 0.13821475 0.39202302
#> [395,] 0.12328195 0.30955793
#> [396,] 0.11949690 0.37330053
#> [397,] 0.14967377 0.34367037
#> [398,] 0.10378221 0.30653605
#> [399,] 0.12812412 0.33962030
#> [400,] 0.14780792 0.29737138
#> [401,] 0.13557247 0.33755613
#> [402,] 0.12472367 0.28297983
#> [403,] 0.13313388 0.28590771
#> [404,] 0.10113041 0.29307694
#> [405,] 0.10637872 0.24662252
#> [406,] 0.11259178 0.26288040
#> [407,] 0.12625660 0.24680139
#> [408,] 0.11543390 0.20885825
#> [409,] 0.07923945 0.19686339
#> [410,] 0.07039037 0.20599563
#> [411,] 0.09768370 0.29688528
#> [412,] 0.09990356 0.37392567
#> [413,] 0.11793454 0.31344414
#> [414,] 0.09672460 0.41329187
#> [415,] 0.10658476 0.41111216
#> [416,] 0.08816075 0.28898302
#> [417,] 0.05143396 0.35086773
#> [418,] 0.08282173 0.24237339
#> [419,] 0.10952770 0.35217814
#> [420,] 0.04346517 0.27001753
#> [421,] 0.04372903 0.22598629
#> [422,] 0.05534127 0.33017105
#> [423,] 0.09827492 0.43530013
#> [424,] 0.08252261 0.41166907
#> [425,] 0.09765856 0.24679717
#> [426,] 0.02958601 0.38339718
#> [427,] 0.04284197 0.34311611
#> [428,] 0.06186670 0.31280171
#> [429,] 0.04616702 0.21455567
#> [430,] 0.03438676 0.26854465
#> [431,] 0.04944483 0.27340896
#> [432,] 0.04483517 0.23494282
#> [433,] 0.04474521 0.38302326
#> [434,] 0.04540468 0.24226377
#> [435,] 0.05332395 0.30548155
#> [436,] 0.03039668 0.24247864
#> [437,] 0.03604862 0.25082395
#> [438,] 0.03193219 0.34794973
#> [439,] 0.02572393 0.32887050
#> [440,] 0.03648825 0.22450153
#> [441,] 0.05779123 0.22823537
#> [442,] 0.04169380 0.11062890
#> [443,] 0.05440690 0.14822170
#> [444,] 0.07398804 0.12882254
#> [445,] 0.04789288 0.15198182
#> [446,] 0.08436682 0.13291851
#> [447,] 0.09978652 0.15973712
#> [448,] 0.11187435 0.17502054
#> [449,] 0.12118066 0.23487234
#> [450,] 0.06594925 0.21448096
#> [451,] 0.07818440 0.19289173
#> [452,] 0.08771793 0.16485982
#> [453,] 0.05636358 0.14694765
#> [454,] 0.06366530 0.14079895
#> [455,] 0.13339085 0.20402845
#> [456,] 0.07211004 0.18632370
#> [457,] 0.10698598 0.23338885
#> [458,] 0.10184910 0.21378224
#> [459,] 0.06157481 0.18306943
#> [460,] 0.11218972 0.19351660
#> [461,] 0.07413227 0.24410631
#> [462,] 0.13272857 0.21455014
#> [463,] 0.12454030 0.21182134
#> [464,] 0.07404857 0.26334601
#> [465,] 0.07350733 0.21291565
#> [466,] 0.07125527 0.22743255
#> [467,] 0.06885658 0.22311462
#> [468,] 0.11930864 0.21345298
#> [469,] 0.13018820 0.18464099
#> [470,] 0.12687564 0.28542632
#> [471,] 0.12079293 0.28841884
#> [472,] 0.12076573 0.25403777
#> [473,] 0.10155135 0.28837818
#> [474,] 0.15041069 0.27805856
#> [475,] 0.10699052 0.33092325
#> [476,] 0.17863017 0.30761125
#> [477,] 0.18252573 0.28522224
#> [478,] 0.16767183 0.25456724
#> [479,] 0.07047611 0.24132020
#> [480,] 0.14641495 0.29256809
#> [481,] 0.09208844 0.22170162
#> [482,] 0.13085248 0.24971250
#> [483,] 0.13041691 0.20172429
#> [484,] 0.09689060 0.19608147
#> [485,] 0.13008048 0.23746506
#> [486,] 0.08157038 0.23127344
#> [487,] 0.08704448 0.23106260
#> [488,] 0.11371640 0.21936736
#> [489,] 0.17266214 0.25219085
#> [490,] 0.14262096 0.24756370
#> [491,] 0.09134641 0.25016550
#> [492,] 0.09151703 0.22883941
#> [493,] 0.08430073 0.22754051
#> [494,] 0.15418370 0.25190668
#> [495,] 0.09906866 0.24447534
#> [496,] 0.12323893 0.23180241
#> [497,] 0.12459909 0.21345101
#> [498,] 0.09626861 0.22215542
#> [499,] 0.13925924 0.21706878
#> [500,] 0.15015310 0.23598289
#> [501,] 0.10870453 0.21786435
#> [502,] 0.05645734 0.21792289
#> [503,] 0.06057104 0.18509662
#> [504,] 0.04704944 0.17085587
#> [505,] 0.04748829 0.14556597
#> [506,] 0.13606914 0.28999616
#> [507,] 0.14531022 0.36160678
#> [508,] 0.08203465 0.29103069
#> [509,] 0.07790491 0.29704920
#> [510,] 0.13482885 0.30993024
#> [511,] 0.06859759 0.21969425
#> [512,] 0.16808491 0.23173609
#> [513,] 0.16872738 0.40244960
#> [514,] 0.19275061 0.41936781
#> [515,] 0.17511167 0.39436280
#> [516,] 0.08943847 0.40498329
#> [517,] 0.16329339 0.34349222
#> [518,] 0.18089557 0.39830507
#> [519,] 0.17263124 0.40271252
#> [520,] 0.13612548 0.44087403
#> [521,] 0.10141237 0.34805883
#> [522,] 0.10732970 0.43997469
#> [523,] 0.12484006 0.45472989
#> [524,] 0.12858041 0.40696347
#> [525,] 0.14169308 0.37719797
#> [526,] 0.19714039 0.37083935
#> [527,] 0.12664520 0.39944846
#> [528,] 0.14143580 0.42676198
#> [529,] 0.16373697 0.35534519
#> [530,] 0.12267923 0.42240108
#> [531,] 0.16792250 0.35548616
#> [532,] 0.15352243 0.34123493
#> [533,] 0.15200609 0.39244855
#> [534,] 0.11740172 0.46191031
#> [535,] 0.18325166 0.43737584
#> [536,] 0.16522235 0.46485273
#> [537,] 0.19356679 0.36772054
#> [538,] 0.15825438 0.42434308
#> [539,] 0.20418688 0.39809811
#> [540,] 0.21759110 0.35412814
#> [541,] 0.17404542 0.32630647
#> [542,] 0.13247733 0.34726348
#> [543,] 0.08449249 0.30320774
#> [544,] 0.13382133 0.31912644
#> [545,] 0.13691096 0.30154962
#> [546,] 0.10358991 0.25856588
#> [547,] 0.17988832 0.32832779
#> [548,] 0.10157094 0.30666804
#> [549,] 0.04693832 0.24336659
#> [550,] 0.06969128 0.21346554
#> [551,] 0.04992281 0.11899140
#> [552,] 0.04939396 0.11269743
#> [553,] 0.06311687 0.10706699
#> [554,] 0.05714847 0.10817254
#> [555,] 0.06841690 0.11503123
#> [556,] 0.05347603 0.11379752
#> [557,] 0.03959384 0.12675176
#> [558,] 0.06273414 0.11186230
#> [559,] 0.02779342 0.11253934
#> [560,] 0.02919033 0.12001246
#> [561,] 0.03742648 0.11577883
#> [562,] 0.05972555 0.10250151
#> [563,] 0.05703768 0.12703956
#> [564,] 0.06776438 0.12981420
#> [565,] 0.05553357 0.11316557
#> [566,] 0.03281291 0.13780184
#> [567,] 0.03533245 0.14471878
#> [568,] 0.04311080 0.10647320
#> [569,] 0.03275546 0.12108236
#> [570,] 0.03759607 0.17193851
#> [571,] 0.04863498 0.12833060
#> [572,] 0.04527363 0.12587221
#> [573,] 0.06659790 0.12291504
#> [574,] 0.06286592 0.14010222
#> [575,] 0.06348674 0.13896376
#> [576,] 0.05994437 0.12393675
#> [577,] 0.05468788 0.13190419
#> [578,] 0.06468854 0.13997794
#> [579,] 0.06348691 0.10532919
#> [580,] 0.05808595 0.13705371
#> [581,] 0.04254775 0.16368808
#> [582,] 0.04641075 0.11341880
#> [583,] 0.05375080 0.10677881
#> [584,] 0.01814658 0.10869775
#> [585,] 0.04171757 0.10525464
#> [586,] 0.01485376 0.08504320
#> [587,] 0.02481794 0.08273531
#> [588,] 0.03513564 0.10420086
#> [589,] 0.03307884 0.11315066
#> [590,] 0.04627536 0.11567909
#> [591,] 0.03862307 0.11714483
#> [592,] 0.03220349 0.08349867
#> [593,] 0.02463833 0.07720764
#> [594,] 0.01963293 0.07366822
#> [595,] 0.02505752 0.09203229
#> [596,] 0.03541346 0.07359954
#> [597,] 0.03056502 0.07096588
#> [598,] 0.02637287 0.12683043
#> [599,] 0.02725743 0.07705967
#> [600,] 0.02992705 0.10391116
#> [601,] 0.02058609 0.07351858
#> [602,] 0.03355335 0.09354460
#> [603,] 0.03763360 0.08570754
#> [604,] 0.03979094 0.08911159
#> [605,] 0.03323701 0.08145444
#> [606,] 0.01986448 0.09527998
#> [607,] 0.02948638 0.07655004
#> [608,] 0.02369919 0.08822985
#> [609,] 0.02506924 0.06822230
#> [610,] 0.03891389 0.06136930
#> [611,] 0.01760475 0.05964592
#> [612,] 0.02733521 0.07581740
#> [613,] 0.04727741 0.07139823
#> [614,] 0.04082050 0.07838499
#> [615,] 0.03229207 0.10309583
#> [616,] 0.04195094 0.09571573
#> [617,] 0.05378183 0.09211218
#> [618,] 0.04563144 0.12381202
#> [619,] 0.06620943 0.10907220
#> [620,] 0.06978560 0.10612877
#> [621,] 0.04278883 0.12601015
#> [622,] 0.05899659 0.15654439
#> [623,] 0.07763479 0.14072729
#> [624,] 0.07821149 0.11453555
#> [625,] 0.06264060 0.13924458
#> [626,] 0.08044162 0.13611990
#> [627,] 0.04522889 0.15103413
#> [628,] 0.08177232 0.14051744
#> [629,] 0.08703785 0.13870538
#> [630,] 0.05263479 0.15371641
#> [631,] 0.10183016 0.14252936
#> [632,] 0.07436053 0.14282651
#> [633,] 0.07662264 0.13257490
#> [634,] 0.08240621 0.18187136
#> [635,] 0.09403384 0.18651687
#> [636,] 0.08147136 0.12950841
#> [637,] 0.09966113 0.15492860
#> [638,] 0.08588851 0.15260343
#> [639,] 0.06400087 0.13811475
#> [640,] 0.06261241 0.16351036
#> [641,] 0.06667628 0.15775124
#> [642,] 0.04844386 0.13133813
#> [643,] 0.08040721 0.13839987
#> [644,] 0.07809578 0.13013343
#> [645,] 0.06464732 0.16991716
#> [646,] 0.06599185 0.11136546
#> [647,] 0.05190859 0.13304223
#> [648,] 0.03745983 0.16313621
#> [649,] 0.03537472 0.13465415
#> [650,] 0.04573315 0.09084534
#> [651,] 0.03901919 0.10137351
#> [652,] 0.05244339 0.10437013
#> [653,] 0.02137775 0.13634035
#> [654,] 0.02647708 0.07545422
#> [655,] 0.02875619 0.06376978
#> [656,] 0.02927047 0.05289084
#> [657,] 0.02033288 0.03513973
#> [658,] 0.01577768 0.03210303
#> [659,] 0.01635091 0.03676059
#> [660,] 0.02073119 0.04202156
#> [661,] 0.01416400 0.03965877
#> [662,] 0.01869707 0.03510970
#> [663,] 0.01633210 0.04822535
#> [664,] 0.01819456 0.03619247
#> [665,] 0.01909172 0.04369054
#> [666,] 0.03183686 0.05855464
#> [667,] 0.01686771 0.06840610
#> [668,] 0.03268293 0.04628387
#> [669,] 0.02178132 0.05540663
#> [670,] 0.02252441 0.05512808
#> [671,] 0.02450941 0.04033151
#> [672,] 0.03167746 0.05249474
#> [673,] 0.02585749 0.05795219
#> [674,] 0.02698366 0.06281854
#> [675,] 0.02178953 0.05558925
#> [676,] 0.01291108 0.03621692
#> [677,] 0.02515000 0.04848608
#> [678,] 0.02205305 0.04670267
#> [679,] 0.02130219 0.03836270
#> [680,] 0.01790393 0.04608309
#> [681,] 0.01514100 0.03347076
#> [682,] 0.01426293 0.03509257
#> [683,] 0.01381508 0.03810312
#> [684,] 0.02704473 0.05280565
#> [685,] 0.02967239 0.06136172
#> [686,] 0.01942643 0.05639500
#> [687,] 0.01991416 0.06528736
#> [688,] 0.03478052 0.07830821
#> [689,] 0.02375855 0.06316676
#> [690,] 0.01723592 0.07172250
#> [691,] 0.03499727 0.07100221
#> [692,] 0.04880048 0.08106377
#> [693,] 0.03115914 0.07936100
#> [694,] 0.03980385 0.08261320
#> [695,] 0.03367525 0.09048912
#> [696,] 0.04304800 0.09054150
#> [697,] 0.03175247 0.07454900
#> [698,] 0.04725642 0.09249403
#> [699,] 0.04796354 0.08190156
#> [700,] 0.02632342 0.09147885
#> [701,] 0.02784960 0.06578132
#> [702,] 0.02993044 0.07413595
#> [703,] 0.02771187 0.07141451
#> [704,] 0.03573658 0.07088139
#> [705,] 0.04716231 0.07743803
#> [706,] 0.03151536 0.09332451
#> [707,] 0.02907211 0.08115750
#> [708,] 0.03864190 0.07554199
#> [709,] 0.02771643 0.14938479
#> [710,] 0.04542241 0.18005079
#> [711,] 0.03996808 0.15501951
#> [712,] 0.03693867 0.09561998
#> [713,] 0.03765640 0.15979274
#> [714,] 0.02708553 0.13660742
#> [715,] 0.09662819 0.25406750
#> [716,] 0.04869660 0.23727767
#> [717,] 0.04911453 0.14327154
#> [718,] 0.03772825 0.18601698
#> [719,] 0.02677332 0.19611778
#> [720,] 0.06506461 0.30817513
#> [721,] 0.09494241 0.43661346
#> [722,] 0.05013868 0.18769818
#> [723,] 0.06103910 0.37426782
#> [724,] 0.06808868 0.34300327
#> [725,] 0.06223264 0.26221293
#> [726,] 0.03568058 0.24698261
#> [727,] 0.02055163 0.27910236
#> [728,] 0.06630631 0.35083339
#> [729,] 0.02257689 0.24877352
#> [730,] 0.07217948 0.28611835
#> [731,] 0.09045819 0.30700679
#> [732,] 0.03556405 0.23830461
#> [733,] 0.09003806 0.29996227
#> [734,] 0.06627343 0.24801306
#> [735,] 0.09036491 0.25533083
#> [736,] 0.06604964 0.31354689
#> [737,] 0.03644800 0.23658016
#> [738,] 0.03073465 0.36993284
#> [739,] 0.08322937 0.32406288
#> [740,] 0.04809362 0.31211314
#> [741,] 0.07127850 0.29573070
#> [742,] 0.10296677 0.26966889
#> [743,] 0.04809867 0.26999208
#> [744,] 0.05416547 0.22194441
#> [745,] 0.03217771 0.25609806
#> [746,] 0.05016346 0.18891183
#> [747,] 0.04879190 0.17496903
#> [748,] 0.07468955 0.34333799
#> [749,] 0.10507318 0.26600734
#> [750,] 0.03696465 0.17084377
#> [751,] 0.06022700 0.16982963
#> [752,] 0.08018228 0.18925018
#> [753,] 0.06116890 0.19774738
#> [754,] 0.07277836 0.16792000
#> [755,] 0.09642427 0.18330319
#> [756,] 0.07823739 0.20423440
#> [757,] 0.09064249 0.16738057
#> [758,] 0.12788963 0.17567287
#> [759,] 0.10129958 0.18443274
#> [760,] 0.09452123 0.16869431
#> [761,] 0.12144050 0.20787366
#> [762,] 0.09747820 0.20669159
#> [763,] 0.11900709 0.20950672
#> [764,] 0.11043716 0.17368668
#> [765,] 0.10041931 0.17264797
#> [766,] 0.13012296 0.19600715
#> [767,] 0.10371254 0.18764756
#> [768,] 0.11087321 0.19060481
#> [769,] 0.09687543 0.17503190
#> [770,] 0.08481874 0.17546604
#> [771,] 0.08157042 0.17930383
#> [772,] 0.05441366 0.14810945
#> [773,] 0.07192625 0.16958817
#> [774,] 0.07406313 0.17499187
#> [775,] 0.06458099 0.15519209
#> [776,] 0.04511047 0.17135951
#> [777,] 0.06499147 0.16732158
#> [778,] 0.06390457 0.18507334
#> [779,] 0.07339646 0.15344452
#> [780,] 0.04291011 0.12507337
#> [781,] 0.04099400 0.12397134
#> [782,] 0.04759241 0.15546445
#> [783,] 0.04672797 0.12192888
#> [784,] 0.06444381 0.23497802
#> [785,] 0.06754046 0.11253033
#> [786,] 0.03831215 0.12000646
#> [787,] 0.04247373 0.22268266
#> [788,] 0.05384288 0.23253105
#> [789,] 0.04230064 0.24315557
#> [790,] 0.04225615 0.25901084
#> [791,] 0.04381032 0.20833184
#> [792,] 0.04961135 0.22792145
#> [793,] 0.04684098 0.20872047
#> [794,] 0.03855445 0.23242137
#> [795,] 0.12231304 0.25637096
#> [796,] 0.04449066 0.20760824
#> [797,] 0.09198298 0.22373448
#> [798,] 0.06200277 0.29316552
#> [799,] 0.05384569 0.24071165
#> [800,] 0.04813511 0.22589532
#> [801,] 0.09187344 0.30999672
#> [802,] 0.06163112 0.31595313
#> [803,] 0.05464007 0.27993913
#> [804,] 0.06535776 0.24581476
#> [805,] 0.06229406 0.24890397
#> [806,] 0.08774816 0.31279518
#> [807,] 0.04046381 0.32032487
#> [808,] 0.04799252 0.26190960
#> [809,] 0.04763774 0.26295882
#> [810,] 0.03352199 0.26272918
#> [811,] 0.03445971 0.27188572
#> [812,] 0.06759306 0.22412135
#> [813,] 0.09990744 0.22883370
#> [814,] 0.05557671 0.26333140
#> [815,] 0.05928824 0.47221135
#> [816,] 0.05814901 0.29913295
#> [817,] 0.14709631 0.33272451
#> [818,] 0.05105691 0.39387486
#> [819,] 0.07560382 0.28342433
#> [820,] 0.03717172 0.29963577
#> [821,] 0.07726055 0.58635057
#> [822,] 0.07084672 0.40551159
#> [823,] 0.12474325 0.35998939
#> [824,] 0.05382784 0.31278785
#> [825,] 0.12010780 0.37822877
#> [826,] 0.16873305 0.41099239
#> [827,] 0.13477582 0.40681389
#> [828,] 0.23985560 0.51300339
#> [829,] 0.12157549 0.37687347
#> [830,] 0.20937530 0.49175155
#> [831,] 0.12420473 0.49887301
#> [832,] 0.22233840 0.48649095
#> [833,] 0.19097124 0.50048095
#> [834,] 0.18220600 0.53734732
#> [835,] 0.21138888 0.36795798
#> [836,] 0.23291126 0.43229849
#> [837,] 0.09559328 0.38857782
#> [838,] 0.13869049 0.44754463
#> [839,] 0.11442529 0.57220160
#> [840,] 0.14748738 0.51012242
#> [841,] 0.11713176 0.46295557
#> [842,] 0.14127849 0.48804778
#> [843,] 0.09546477 0.43700483
#> [844,] 0.12783449 0.41863863
#> [845,] 0.15496114 0.45945577
#> [846,] 0.05875027 0.30045380
#> [847,] 0.09747675 0.18731684
#> [848,] 0.06610121 0.24434751
#> [849,] 0.09162687 0.24050953
#> [850,] 0.04684182 0.22998288
#> [851,] 0.07764868 0.25979583
#> [852,] 0.04121602 0.13329575
#> [853,] 0.05902315 0.13708304
#> [854,] 0.04709444 0.16373414
#> [855,] 0.05895128 0.13719478
#> [856,] 0.02006274 0.11881977
#> [857,] 0.02508697 0.10672683
#> [858,] 0.04809114 0.12520959
#> [859,] 0.05889499 0.13128179
#> [860,] 0.01568977 0.05238019
#> [861,] 0.01846727 0.25517058
#> [862,] 0.02209344 0.44853394
#> [863,] 0.02326322 0.33872800
#> [864,] 0.08199105 0.51020265
#> [865,] 0.08804219 0.63579183
#> [866,] 0.09327823 0.40727222
#> [867,] 0.03132381 0.47325894
#> [868,] 0.12080480 0.44068255
#> [869,] 0.04522277 0.40770638
#> [870,] 0.03557252 0.61560856
#> [871,] 0.10632604 0.45038051
#> [872,] 0.08573558 0.44748682
#> [873,] 0.17060845 0.47305423
#> [874,] 0.19947805 0.48755859
#> [875,] 0.10664038 0.35242259
#> [876,] 0.17241328 0.58997784
#> [877,] 0.15732015 0.52323414
#> [878,] 0.15048820 0.62314370
#> [879,] 0.16063251 0.59377312
#> [880,] 0.13599806 0.60420908
#> [881,] 0.28345278 0.58414113
#> [882,] 0.28538756 0.74454352
#> [883,] 0.34116356 0.77124357
#> [884,] 0.24165167 0.72428883
#> [885,] 0.21266979 0.64445852
#> [886,] 0.29009871 0.79090343
#> [887,] 0.13908459 0.71852185
#> [888,] 0.37552915 0.65048549
#> [889,] 0.34722573 0.70316549
#> [890,] 0.33947095 0.54144884
#> [891,] 0.29005206 0.92319027
#> [892,] 0.29666843 0.89556172
#> [893,] 0.20325894 0.66083813
#> [894,] 0.29684342 0.71129070
#> [895,] 0.13878984 0.28324980
#> [896,] 0.07473493 0.48732309
#> [897,] 0.10422980 0.36693661
#> [898,] 0.14271900 0.32435215
#> [899,] 0.12694687 0.36340773
#> [900,] 0.13143373 0.35689438
#> [901,] 0.09838145 0.39814829
#> [902,] 0.15265787 0.43754820
#> [903,] 0.20480616 0.50408281
#> [904,] 0.18989108 0.51573467
#> [905,] 0.14476708 0.49134459
#> [906,] 0.11482130 0.46695107
#> [907,] 0.13818036 0.39039163
#> [908,] 0.11670700 0.42745322
#> [909,] 0.08474159 0.40571783
#> [910,] 0.12165116 0.38788269
#> [911,] 0.08838861 0.43084524
#> [912,] 0.09256070 0.21948785
#> [913,] 0.09742736 0.33257794
#> [914,] 0.06942198 0.24766448
#> [915,] 0.07417818 0.24855221
#> [916,] 0.04044115 0.29461899
#> [917,] 0.05145736 0.27779763
#> [918,] 0.07017703 0.20794453
#> [919,] 0.04117003 0.25624163
#> [920,] 0.03918355 0.19829710
#> [921,] 0.06985353 0.14040689
#> [922,] 0.04595905 0.19963420
#> [923,] 0.03406804 0.13975517
#> [924,] 0.02753135 0.12856890
#> [925,] 0.02273969 0.15662598
#> [926,] 0.04205724 0.17501389
#> [927,] 0.05225408 0.12756450
#> [928,] 0.03123133 0.15474802
#> [929,] 0.03025999 0.14940046
#> [930,] 0.02603046 0.13209084
#> [931,] 0.04283867 0.15795747
#> [932,] 0.05094323 0.22171938
#> [933,] 0.02317708 0.15574630
#> [934,] 0.03382009 0.21432912
#> [935,] 0.02591536 0.13289402
#> [936,] 0.03031522 0.24025893
#> [937,] 0.02981060 0.07905930
#> [938,] 0.02642910 0.08676689
#> [939,] 0.02234220 0.10881481
#> [940,] 0.02962091 0.10042894
#> [941,] 0.04068612 0.12140140
#> [942,] 0.03142824 0.10073062
#> [943,] 0.04900124 0.09785285
#> [944,] 0.03463893 0.12442853
#> [945,] 0.02940431 0.15106696
#> [946,] 0.04257569 0.12896447
#> [947,] 0.03311764 0.10617171
#> [948,] 0.03665703 0.09357529
#> [949,] 0.05350198 0.11613831
#> [950,] 0.03806783 0.11721539
#> [951,] 0.03321124 0.11723086
#> [952,] 0.03896898 0.15215027
#> [953,] 0.03792781 0.09164595
#> [954,] 0.03426434 0.08419445
#> [955,] 0.02597730 0.11151333
#> [956,] 0.05538993 0.13145019
#> [957,] 0.03897125 0.10855908
#> [958,] 0.03522285 0.11463355
#> [959,] 0.03406116 0.10509180
#> [960,] 0.04372555 0.12682782
#> [961,] 0.04806644 0.09371137
#> [962,] 0.03367666 0.11147633
#> [963,] 0.03066130 0.08750338
#> [964,] 0.05443776 0.10709446
#> [965,] 0.05527391 0.10391756
#> [966,] 0.05216951 0.10023371
#> [967,] 0.03336899 0.10303199
#> [968,] 0.04199822 0.09321632
#> [969,] 0.05128663 0.10402457
#> [970,] 0.04756159 0.11586843
#> [971,] 0.05563776 0.09061192
#> [972,] 0.05839539 0.10047921
#> [973,] 0.05626340 0.11799064
#> [974,] 0.04138643 0.11950068
#> [975,] 0.04955622 0.11228757
#> [976,] 0.02674806 0.08058658
#> [977,] 0.04426309 0.11572725
#> [978,] 0.04130546 0.10046850
#> [979,] 0.02314775 0.09713523
#> [980,] 0.03569461 0.10886370
#> [981,] 0.04668873 0.10112010
#> [982,] 0.05664700 0.10702266
#> [983,] 0.02958504 0.12887417
#> [984,] 0.03488829 0.08921374
#> [985,] 0.03679869 0.12772517
#> [986,] 0.05557033 0.11315772
#> [987,] 0.06283972 0.13354820
#> [988,] 0.03884968 0.13218126
#> [989,] 0.03774741 0.13035046
#> [990,] 0.04292578 0.13171176
#> [991,] 0.05916346 0.12272167
#> [992,] 0.03874277 0.13855828
#> [993,] 0.03969278 0.12120974
#> [994,] 0.07210755 0.13576464
#> [995,] 0.05199880 0.13207818
#> [996,] 0.03238713 0.09523874
#> [997,] 0.04615516 0.08587236
#> [998,] 0.03844093 0.10093425
#> [999,] 0.04711005 0.12554786
#> [1000,] 0.03737835 0.08968628
#> [1001,] 0.03569932 0.09316163
#> [1002,] 0.04516918 0.11152217
#> [1003,] 0.03426017 0.09917880
#> [1004,] 0.02473183 0.09850135
#> [1005,] 0.02757873 0.08420470
#> [1006,] 0.02325603 0.07094403
#> [1007,] 0.05498353 0.11251308
#> [1008,] 0.05912637 0.11209247
#> [1009,] 0.03246879 0.08398711
#> [1010,] 0.05487072 0.08484615
#> [1011,] 0.04863151 0.10913649
#> [1012,] 0.04928126 0.09629355
#> [1013,] 0.05201679 0.09653650
#> [1014,] 0.03297712 0.10064758
#> [1015,] 0.02527359 0.08967957
#> [1016,] 0.03041128 0.07524968
#> [1017,] 0.02918821 0.06139989
#> [1018,] 0.03223659 0.07663451
#> [1019,] 0.02368406 0.08625568
#> [1020,] 0.04618889 0.07772106
#> [1021,] 0.03725434 0.12230189
#> [1022,] 0.04474458 0.12472348
#> [1023,] 0.03160701 0.11879217
#> [1024,] 0.04582840 0.10316540
#> [1025,] 0.05950309 0.14832633
#> [1026,] 0.06668188 0.13350738
#> [1027,] 0.04450701 0.11433301
#> [1028,] 0.04415089 0.12707203
#> [1029,] 0.06000847 0.13907447
#> [1030,] 0.03873994 0.18102040
#> [1031,] 0.03258497 0.15390864
#> [1032,] 0.05033830 0.21851725
#> [1033,] 0.07914104 0.15962219
#> [1034,] 0.10725583 0.20455058
#> [1035,] 0.09268492 0.21496654
#> [1036,] 0.11817543 0.26743872
#> [1037,] 0.13466418 0.23833919
#> [1038,] 0.08870695 0.19262254
#> [1039,] 0.11913687 0.22217988
#> [1040,] 0.09447399 0.23576914
#> [1041,] 0.10673703 0.22570070
#> [1042,] 0.08324916 0.28076311
#> [1043,] 0.13977813 0.29928537
#> [1044,] 0.08456259 0.25346289
#> [1045,] 0.16135044 0.28755645
#> [1046,] 0.06011372 0.23586135
#> [1047,] 0.10274668 0.25872176
#> [1048,] 0.09350201 0.26867460
#> [1049,] 0.07717670 0.20966757
#> [1050,] 0.11873925 0.22237860
#> [1051,] 0.08519677 0.17462946
#> [1052,] 0.06384576 0.16096383
#> [1053,] 0.09044955 0.16444459
#> [1054,] 0.11109344 0.20615081
#> [1055,] 0.11274596 0.21283293
#> [1056,] 0.10177364 0.32122664
#> [1057,] 0.10727579 0.21825531
#> [1058,] 0.11527755 0.30188764
#> [1059,] 0.13969638 0.28583988
#> [1060,] 0.18612049 0.31516748
#> [1061,] 0.14097141 0.41725998
#> [1062,] 0.14557668 0.24856657
#> [1063,] 0.16128740 0.38804807
#> [1064,] 0.09496172 0.37326491
#> [1065,] 0.17469284 0.38322341
#> [1066,] 0.12036842 0.29248822
#> [1067,] 0.08721260 0.29893882
#> [1068,] 0.13616931 0.33975090
#> [1069,] 0.16962204 0.30020972
#> [1070,] 0.13459117 0.31734339
#> [1071,] 0.07410355 0.33972859
#> [1072,] 0.09185240 0.33662718
#> [1073,] 0.05136408 0.37789122
#> [1074,] 0.13245687 0.30738322
#> [1075,] 0.11625778 0.31739354
#> [1076,] 0.11354442 0.32412505
#> [1077,] 0.06239738 0.31414290
#> [1078,] 0.07257304 0.32883828
#> [1079,] 0.10874529 0.32031620
#> [1080,] 0.16186665 0.35205627
#> [1081,] 0.11423399 0.36910202
#> [1082,] 0.06355264 0.36502335
#> [1083,] 0.11819198 0.38429311
#> [1084,] 0.18220514 0.30690411
#> [1085,] 0.11326265 0.35386659
#> [1086,] 0.10564526 0.23859675
#> [1087,] 0.08011634 0.35941867
#> [1088,] 0.08819054 0.32193204
#> [1089,] 0.06006799 0.15443292
#> [1090,] 0.06452907 0.12584941
#> [1091,] 0.06487016 0.13361757
#> [1092,] 0.03658159 0.15555860
#> [1093,] 0.03958624 0.09919834
#> [1094,] 0.05967647 0.15286024
#> [1095,] 0.05278479 0.14333046
#> [1096,] 0.05352964 0.15924775
#> [1097,] 0.06903276 0.19180921
#> [1098,] 0.05599048 0.24009410
#> [1099,] 0.04909353 0.29153638
#> [1100,] 0.06161089 0.38449541
#> [1101,] 0.07583775 0.21999634
#> [1102,] 0.08674576 0.27119182
#> [1103,] 0.07377602 0.24720236
#> [1104,] 0.05306588 0.25612267
#> [1105,] 0.05685930 0.21367608
#> [1106,] 0.07962767 0.17065509
#> [1107,] 0.10358262 0.27002735
#> [1108,] 0.10307754 0.27766283
#> [1109,] 0.07794789 0.19139997
#> [1110,] 0.08137779 0.24930647
#> [1111,] 0.07285260 0.35107050
#> [1112,] 0.08117014 0.17713848
#> [1113,] 0.07218040 0.20547527
#> [1114,] 0.05790726 0.19998180
#> [1115,] 0.08426440 0.22097017
#> [1116,] 0.13085406 0.32575253
#> [1117,] 0.08798610 0.26876326
#> [1118,] 0.05393624 0.23887174
#> [1119,] 0.09185669 0.23687984
#> [1120,] 0.10532623 0.35166500
#> [1121,] 0.06542145 0.28284743
#> [1122,] 0.07050049 0.37259766
#> [1123,] 0.04982844 0.19791363
#> [1124,] 0.07805021 0.31367903
#> [1125,] 0.03768507 0.68920602
#> [1126,] 0.06046518 0.28785412
# }