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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. If NULL, an optimal width is estimated.

by.column

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

partial

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

fill

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

...

optional arguments passed to zoo::rollapply()

x, y

numeric. Directions in degrees

w, w.y

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

conf.level

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

axial

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

R

The number of bootstrap replicates.

Value

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

Note

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

Examples

data("plates")
plate_boundary <- subset(plates, plates$pair == "na-pa")
data("san_andreas")
PoR <- subset(nuvel1, nuvel1$plate.rot == "na")
distance <- distance_from_pb(
  x = san_andreas,
  PoR = PoR,
  pb = plate_boundary,
  tangential = TRUE
)
dat <- san_andreas[order(distance), ]
dat.PoR <- PoR_shmax(san_andreas, PoR, "right")
roll_normchisq(dat.PoR$azi.PoR, 135, dat$unc)
#>    [1] 0.037954767 0.037578328 0.038689255 0.039744071 0.037530880 0.036672653
#>    [7] 0.037817630 0.036802683 0.028409287 0.028249104 0.028279320 0.028286461
#>   [13] 0.028538940 0.028442433 0.028206275 0.031032646 0.028389225 0.029544422
#>   [19] 0.029195518 0.029360421 0.029071958 0.030902679 0.035271648 0.035213549
#>   [25] 0.035153583 0.034876619 0.031800611 0.029157968 0.029444438 0.029058368
#>   [31] 0.029040014 0.029285626 0.028948156 0.028266501 0.027639475 0.028134029
#>   [37] 0.027952322 0.027130342 0.027321547 0.032205080 0.029620402 0.029572514
#>   [43] 0.030757856 0.030262969 0.030013758 0.030034252 0.027132324 0.026163957
#>   [49] 0.023911966 0.024343491 0.026698408 0.026704378 0.021261790 0.014396091
#>   [55] 0.014582607 0.014477318 0.014697034 0.016572871 0.016661807 0.016845369
#>   [61] 0.017411933 0.018140983 0.018072735 0.018128772 0.017977408 0.017347629
#>   [67] 0.017501314 0.017685156 0.017834815 0.017737818 0.017872002 0.022135047
#>   [73] 0.022077325 0.020679616 0.020620573 0.021014980 0.020615171 0.018956621
#>   [79] 0.020566461 0.024440806 0.023534861 0.019672232 0.035175520 0.034877227
#>   [85] 0.033969773 0.032089576 0.032023429 0.030750561 0.031139047 0.031196427
#>   [91] 0.031335902 0.031250214 0.031123591 0.032284855 0.033021418 0.034781585
#>   [97] 0.035481073 0.030800489 0.005189228 0.005392558 0.005380379 0.013656765
#>  [103] 0.013577179 0.011978173 0.011557885 0.011620193 0.019405398 0.018549979
#>  [109] 0.018525132 0.018482802 0.018409761 0.018523367 0.018621871 0.025131296
#>  [115] 0.027793403 0.027622963 0.027745344 0.027757954 0.027607655 0.027575993
#>  [121] 0.027556966 0.027533423 0.026444732 0.025815046 0.024678918 0.033498049
#>  [127] 0.031617443 0.031004979 0.032478403 0.046557165 0.048600943 0.048672084
#>  [133] 0.047304468 0.046424473 0.051073514 0.051903607 0.051807523 0.042558407
#>  [139] 0.039801707 0.040881582 0.039769842 0.039012429 0.038791841 0.038687276
#>  [145] 0.032667592 0.027191870 0.026833122 0.024120924 0.024117057 0.024158868
#>  [151] 0.025979521 0.025725446 0.026902771 0.028736333 0.028956601 0.030149873
#>  [157] 0.018925481 0.019776267 0.018141830 0.015451430 0.015254340 0.014533331
#>  [163] 0.014130596 0.013855092 0.014020213 0.013656588 0.013747569 0.013724979
#>  [169] 0.014301484 0.015571163 0.012308683 0.012417325 0.012791127 0.012975679
#>  [175] 0.014187483 0.016823327 0.018674062 0.018957474 0.013249897 0.014633711
#>  [181] 0.014606251 0.013009765 0.013081515 0.017384308 0.016674098 0.017505743
#>  [187] 0.017394282 0.018349555 0.018350691 0.019615102 0.018311074 0.018582437
#>  [193] 0.019309308 0.019713257 0.019502894 0.018851672 0.018576328 0.072186334
#>  [199] 0.072135942 0.072545116 0.072681307 0.074531873 0.075201843 0.066137518
#>  [205] 0.066138823 0.066343660 0.065176322 0.065049617 0.065348705 0.081199633
#>  [211] 0.080372124 0.079934408 0.084729429 0.083909037 0.082842133 0.083139770
#>  [217] 0.083449316 0.084113351 0.088210681 0.088226716 0.090846442 0.097265912
#>  [223] 0.097182919 0.097285820 0.097234145 0.103398923 0.108886949 0.110326390
#>  [229] 0.039700318 0.040847680 0.040648340 0.040614062 0.040613036 0.039938437
#>  [235] 0.052162213 0.052117258 0.048790577 0.048765213 0.048531510 0.050323697
#>  [241] 0.048440828 0.058841739 0.053722572 0.029518900 0.013788567 0.012597751
#>  [247] 0.012600901 0.010877140 0.010508684 0.010485619 0.012761964 0.010737006
#>  [253] 0.010721698 0.011084123 0.011602409 0.011567690 0.011555238 0.011740346
#>  [259] 0.011816834 0.011788522 0.014279453 0.014472073 0.015023477 0.015661492
#>  [265] 0.015824892 0.015589585 0.015690618 0.015764692 0.015710671 0.015660481
#>  [271] 0.015657651 0.015664830 0.015652046 0.016442720 0.017593385 0.025554235
#>  [277] 0.025578109 0.025577093 0.029021670 0.029006404 0.029065740 0.043251655
#>  [283] 0.043580695 0.052569639 0.051698284 0.051704073 0.052170604 0.052148132
#>  [289] 0.052203558 0.052246176 0.055647946 0.043835836 0.044284340 0.044531997
#>  [295] 0.041982114 0.041979006 0.067264032 0.067237121 0.066963608 0.069512582
#>  [301] 0.069833979 0.069697413 0.069513336 0.069586973 0.079103474 0.087271501
#>  [307] 0.084693480 0.085039276 0.084978881 0.084449613 0.084480649 0.091876450
#>  [313] 0.066157989 0.065553729 0.026758028 0.030691969 0.026632224 0.026893647
#>  [319] 0.027051384 0.027153669 0.027588307 0.027543991 0.026806617 0.026629431
#>  [325] 0.026745506 0.026055354 0.021876554 0.021822932 0.021740008 0.022083682
#>  [331] 0.022116188 0.033740606 0.033445746 0.033717132 0.035044916 0.035032877
#>  [337] 0.035125187 0.029886623 0.029808537 0.029825506 0.040430993 0.040425385
#>  [343] 0.037392332 0.038166473 0.038060677 0.035643082 0.036158305 0.040327478
#>  [349] 0.040300250 0.058236812 0.058446358 0.058198900 0.058257603 0.052112333
#>  [355] 0.051881629 0.051754742 0.052075686 0.058404010 0.058473317 0.058514574
#>  [361] 0.058486043 0.057981180 0.053394854 0.059600516 0.059432066 0.058636140
#>  [367] 0.058819051 0.099004775 0.117577822 0.117995320 0.117171233 0.124621474
#>  [373] 0.124623022 0.137296618 0.153174780 0.152953374 0.116719298 0.101645301
#>  [379] 0.098112000 0.098246371 0.076728080 0.076890448 0.076912791 0.077805153
#>  [385] 0.086739659 0.085849792 0.081134819 0.077965245 0.077945197 0.096436893
#>  [391] 0.092585184 0.091896100 0.088545722 0.087848366 0.091003607 0.091073851
#>  [397] 0.145708286 0.145702229 0.130468932 0.130468784 0.130470614 0.128849360
#>  [403] 0.125174169 0.125257846 0.109116388 0.105750436 0.106045097 0.121322782
#>  [409] 0.130244180 0.124395071 0.124476292 0.133405730 0.133329608 0.133345244
#>  [415] 0.133996485 0.134119717 0.135539881 0.142888967 0.147322933 0.143984418
#>  [421] 0.129550521 0.134735196 0.116354432 0.120654218 0.122214991 0.119028546
#>  [427] 0.111583667 0.035577938 0.037142450 0.036846429 0.036712888 0.037127908
#>  [433] 0.066465945 0.074165882 0.074218871 0.088747264 0.115774749 0.115781069
#>  [439] 0.116581168 0.116583489 0.168165274 0.158536288 0.158682702 0.158588007
#>  [445] 0.158509911 0.157775443 0.157504699 0.160372466 0.160081738 0.162952318
#>  [451] 0.209299988 0.209142626 0.209368747 0.228579646 0.226373156 0.219162874
#>  [457] 0.219474614 0.227503927 0.248659244 0.248459820 0.250991418 0.253662584
#>  [463] 0.253588218 0.253578925 0.233230386 0.231928569 0.237942192 0.234775600
#>  [469] 0.234735530 0.245162737 0.245304811 0.221826999 0.236861987 0.236128333
#>  [475] 0.236208367 0.236091504 0.235870167 0.236572541 0.226400530 0.227157578
#>  [481] 0.227025881 0.177063091 0.177006601 0.175066954 0.175115567 0.176593586
#>  [487] 0.183721944 0.201166035 0.201343256 0.256393105 0.256688517 0.259563971
#>  [493] 0.243850705 0.243846116 0.243676238 0.256355413 0.258170286 0.257974354
#>  [499] 0.257876628 0.218134083 0.209731439 0.209867618 0.207470502 0.204569020
#>  [505] 0.204725298 0.203086694 0.203284932 0.203278799 0.207888888 0.214315329
#>  [511] 0.214327249 0.214326109 0.214307078 0.214484517 0.214551304 0.214455395
#>  [517] 0.217028723 0.217309653 0.210762814 0.210699529 0.158711356 0.161480294
#>  [523] 0.154809542 0.172342443 0.172386394 0.163151470 0.162237177 0.175379472
#>  [529] 0.175346813 0.175315617 0.217974328 0.217374395 0.216941760 0.225573669
#>  [535] 0.128923812 0.129130892 0.130535708 0.130653191 0.130922000 0.133827102
#>  [541] 0.134199458 0.135196900 0.135186514 0.135034594 0.135050575 0.135620086
#>  [547] 0.136545468 0.136739309 0.136753398 0.135087421 0.135086853 0.121009225
#>  [553] 0.117639124 0.117859071 0.107140824 0.109022996 0.111023183 0.106097905
#>  [559] 0.086704541 0.086710471 0.086755659 0.081653218 0.081563341 0.078018512
#>  [565] 0.079543102 0.117094764 0.116963434 0.111112589 0.100264201 0.100413111
#>  [571] 0.088377150 0.088794414 0.080794085 0.080850711 0.080936017 0.080919609
#>  [577] 0.080910033 0.078626654 0.078458115 0.078372307 0.072526424 0.071394363
#>  [583] 0.070630106 0.070671398 0.073879066 0.073832703 0.070903804 0.069214188
#>  [589] 0.069863161 0.069977133 0.069974730 0.066401469 0.069509645 0.069470881
#>  [595] 0.069939851 0.068113553 0.065393429 0.072199735 0.077898360 0.086852756
#>  [601] 0.086377044 0.086258153 0.085302499 0.085605999 0.085492619 0.081978051
#>  [607] 0.081467024 0.081695654 0.081994071 0.082007201 0.078561758 0.084390221
#>  [613] 0.087593570 0.089298991 0.089115912 0.086816544 0.077575993 0.077574198
#>  [619] 0.079569109 0.084078528 0.074694066 0.074746541 0.084086554 0.084084979
#>  [625] 0.083804308 0.090218563 0.079601197 0.086124588 0.071395502 0.060256365
#>  [631] 0.029244832 0.029062116 0.029441160 0.029012617 0.029029515 0.028605936
#>  [637] 0.029923055 0.036632944 0.040434259 0.039803388 0.039962913 0.040301047
#>  [643] 0.040537249 0.039090717 0.039310175 0.035541727 0.033339691 0.033805888
#>  [649] 0.033819786 0.034038353 0.034052246 0.038389087 0.038124260 0.038120732
#>  [655] 0.034195318 0.034825559 0.034690503 0.031192727 0.034863786 0.034714197
#>  [661] 0.034806428 0.034868970 0.034814888 0.042031048 0.041887018 0.041851476
#>  [667] 0.042463546 0.043678903 0.039272137 0.033224424 0.033594924 0.033334361
#>  [673] 0.033251607 0.032981887 0.033007309 0.032840507 0.036331758 0.038473423
#>  [679] 0.042319661 0.048074691 0.047878061 0.048051664 0.047790153 0.042962810
#>  [685] 0.041639797 0.045038962 0.044651286 0.044963914 0.044848786 0.044782179
#>  [691] 0.044686840 0.044634019 0.044623128 0.042698810 0.046173092 0.038798238
#>  [697] 0.038814250 0.023240395 0.022697121 0.020376669 0.019532223 0.018881328
#>  [703] 0.018875231 0.018867607 0.018874177 0.018859454 0.018859347 0.017805462
#>  [709] 0.017830214 0.017892198 0.012834345 0.012849690 0.012769846 0.012823004
#>  [715] 0.013892694 0.016681232 0.016493301 0.016473639 0.016842491 0.016858160
#>  [721] 0.021714648 0.021294857 0.021379110 0.025232513 0.025821940 0.021855667
#>  [727] 0.023920625 0.023918773 0.037265349 0.035931423 0.036174281 0.035659989
#>  [733] 0.032134320 0.028429313 0.028429017 0.028433710 0.028431484 0.028385175
#>  [739] 0.029696327 0.029675934 0.029673680 0.028198590 0.028198334 0.019455175
#>  [745] 0.018924392 0.017288638 0.015005790 0.015218235 0.015100907 0.014748414
#>  [751] 0.014132560 0.009250932 0.009188859 0.009137569 0.007739587 0.007521223
#>  [757] 0.007252167 0.007295243 0.007286852 0.006535558 0.006732747 0.007167363
#>  [763] 0.007495418 0.008292779 0.009146368 0.009880574 0.007169277 0.061427623
#>  [769] 0.060653810 0.051818750 0.050808508 0.049052161 0.049969914 0.049982021
#>  [775] 0.060343126 0.058631247 0.059426277 0.058723765 0.058637613 0.056917886
#>  [781] 0.057687318 0.060396639 0.060439708 0.060426235 0.060348122 0.059542997
#>  [787] 0.060946241 0.064293612 0.064251463 0.062731872 0.059637427 0.059618933
#>  [793] 0.058549076 0.057692234 0.056426298 0.058835783 0.058821164 0.071568938
#>  [799] 0.013977587 0.014275342 0.014716601 0.014715632 0.015506098 0.015374944
#>  [805] 0.015363860 0.014951362 0.016210936 0.015675947 0.016163067 0.014217166
#>  [811] 0.015873257 0.015864286 0.015866147 0.015872747 0.015867083 0.015937708
#>  [817] 0.015925426 0.015912351 0.015620629 0.014173891 0.014779994 0.016046576
#>  [823] 0.019064720 0.019314414 0.019699573 0.020202404 0.011658498 0.010938872
#>  [829] 0.011197283 0.011382645 0.013225868 0.013870398 0.013702155 0.014307760
#>  [835] 0.014426942 0.014406768 0.014773806 0.015218303 0.015394514 0.015080482
#>  [841] 0.018288883 0.016958297 0.016828108 0.016678065 0.019366795 0.019391487
#>  [847] 0.018750622 0.018922883 0.018931734 0.019194646 0.018930552 0.018945771
#>  [853] 0.019280639 0.017428574 0.016766207 0.017223710 0.017391728 0.016888920
#>  [859] 0.016651503 0.016947445 0.017439654 0.016356457 0.016371267 0.017291091
#>  [865] 0.016811840 0.016447212 0.016445058 0.016095951 0.018267993 0.018210157
#>  [871] 0.017542293 0.015467718 0.016657028 0.013260164 0.013248145 0.010089643
#>  [877] 0.009729875 0.009903378 0.009582899 0.009662068 0.009660242 0.010571484
#>  [883] 0.010610264 0.021269409 0.019847487 0.020180067 0.019217374 0.021613678
#>  [889] 0.023949003 0.024323211 0.022484683 0.022455419 0.022480028 0.022191755
#>  [895] 0.022402097 0.022633008 0.023205964 0.023306190 0.023808473 0.021885422
#>  [901] 0.022112266 0.023569192 0.024526919 0.024092993 0.034079527 0.032216118
#>  [907] 0.032276788 0.033863934 0.033972706 0.032447826 0.033215410 0.033166355
#>  [913] 0.037539841 0.037479125 0.025600317 0.028760938 0.029850722 0.030803418
#>  [919] 0.028733458 0.025821403 0.026957770 0.031186617 0.031236885 0.031191357
#>  [925] 0.032711840 0.038614866 0.037473895 0.035911975 0.035736433 0.035456258
#>  [931] 0.034468772 0.034846053 0.034709251 0.034772391 0.036562391 0.037396406
#>  [937] 0.042752075 0.041159810 0.040903298 0.134969855 0.141544668 0.130998356
#>  [943] 0.131161269 0.138222705 0.138206581 0.140119125 0.142653161 0.144845510
#>  [949] 0.139783897 0.141240609 0.324610840 0.325103527 0.324733090 0.324413848
#>  [955] 0.324085561 0.327680164 0.352217234 0.358096206 0.374042579 0.374601097
#>  [961] 0.388735094 0.406170418 0.406168974 0.415755490 0.415734882 0.460113681
#>  [967] 0.467932286 0.467537920 0.478847213 0.502165607 0.451189232 0.447287706
#>  [973] 0.512448900 0.454638896 0.445635067 0.445639711 0.445639319 0.445972157
#>  [979] 0.446143181 0.471725180 0.460306072 0.279225444 0.279307612 0.282109531
#>  [985] 0.289674832 0.300202504 0.299797125 0.273491322 0.273094744 0.279482656
#>  [991] 0.276965583 0.271980567 0.269954227 0.270287761 0.255587003 0.256808668
#>  [997] 0.257283394 0.257791777 0.252862747 0.255427485 0.256936247 0.253224588
#> [1003] 0.253415261 0.251403525 0.296154594 0.302623884 0.303475495 0.297236477
#> [1009] 0.245189077 0.244339713 0.245524984 0.243477085 0.233618989 0.229127371
#> [1015] 0.227177184 0.217470185 0.172439884 0.172572239 0.171396015 0.170748426
#> [1021] 0.157564820 0.158938964 0.097566679 0.093608023 0.092638975 0.081100707
#> [1027] 0.083553151 0.083356072 0.082224659 0.080267747 0.079074224 0.060125455
#> [1033] 0.059958284 0.059619668 0.060452000 0.056571228 0.047544044 0.046461063
#> [1039] 0.043529671 0.052626777 0.052564761 0.050806306 0.050283738 0.050074984
#> [1045] 0.049843837 0.049088631 0.039678119 0.065525869 0.068438020 0.071604741
#> [1051] 0.071207383 0.072631993 0.072459608 0.072276811 0.342400351 0.344221292
#> [1057] 0.392853746 0.438059993 0.437041338 0.436371956 0.436480433 0.432710143
#> [1063] 0.507043385 0.507683081 0.508730316 0.508794880 0.507819555 0.507725669
#> [1069] 0.523075384 0.524797583 0.529529977 0.530215860 0.535737710 0.537033640
#> [1075] 0.541855594 0.546968618 0.624871094 0.625608890 0.678782618 0.691971300
#> [1081] 0.700697727 0.709679555
roll_rayleigh(dat.PoR$azi.PoR, prd = 135, unc = dat$unc)
#>    [1]  0.8599294891  0.8621986936  0.8536511830  0.8464462163  0.8551365449
#>    [6]  0.8587474886  0.8480263153  0.8528035094  0.8626963130  0.8641044454
#>   [11]  0.8638376235  0.8637380916  0.8616625364  0.8629599705  0.8648962032
#>   [16]  0.8518408331  0.8634837533  0.8574754073  0.8604365703  0.8590108999
#>   [21]  0.8623357134  0.8555726252  0.8255734883  0.8260838175  0.8269198491
#>   [26]  0.8285206175  0.8396761682  0.8494656555  0.8475917295  0.8498507649
#>   [31]  0.8500127338  0.8478752591  0.8504812421  0.8567867045  0.8605761027
#>   [36]  0.8581678938  0.8597533215  0.8689934731  0.8679460953  0.8647807262
#>   [41]  0.8711695583  0.8717732060  0.8645146941  0.8676008292  0.8685115031
#>   [46]  0.8683796530  0.8792505865  0.8836951284  0.8906187735  0.8878416359
#>   [51]  0.8741644775  0.8741026131  0.8944810950  0.9283901544  0.9272151484
#>   [56]  0.9274722352  0.9260432828  0.9227974342  0.9230505945  0.9215835666
#>   [61]  0.9199747423  0.9153564987  0.9160522338  0.9157422517  0.9159431166
#>   [66]  0.9199206623  0.9183959306  0.9173667703  0.9165415803  0.9166701778
#>   [71]  0.9159179266  0.9001458848  0.9004597117  0.9072287033  0.9075346376
#>   [76]  0.9054884072  0.9075991620  0.9095010019  0.9030446453  0.8881362974
#>   [81]  0.8923375537  0.9093684273  0.8651999003  0.8630069066  0.8643128216
#>   [86]  0.8678971428  0.8682413160  0.8645307753  0.8598271531  0.8583950960
#>   [91]  0.8566634496  0.8567654588  0.8584081176  0.8448208082  0.8359914694
#>   [96]  0.8168723689  0.8059254403  0.8211242437  0.8851512097  0.8932536634
#>  [101]  0.8939042065  0.8697594162  0.8738231833  0.8884314568  0.8958077215
#>  [106]  0.8909000962  0.8497775567  0.8581622662  0.8594688763  0.8615808621
#>  [111]  0.8652602011  0.8650095750  0.8618381004  0.8363130221  0.8134292160
#>  [116]  0.8160703312  0.8117714575  0.8111664282  0.8102565754  0.8115020687
#>  [121]  0.8124785735  0.8136662599  0.8226047367  0.8293168895  0.8412614556
#>  [126]  0.8127244347  0.8255240761  0.8326465140  0.8227599259  0.8000189551
#>  [131]  0.7911685778  0.7884537564  0.7957863017  0.8009475736  0.7904333791
#>  [136]  0.7873492939  0.7913085877  0.8272245441  0.8311645616  0.8248845759
#>  [141]  0.8298557899  0.8329240765  0.8354783932  0.8382614148  0.8619814396
#>  [146]  0.8874913840  0.8902653944  0.8998378661  0.9001615599  0.8989128094
#>  [151]  0.8894519416  0.8907510493  0.8825770846  0.8703783184  0.8696926631
#>  [156]  0.8649204317  0.8993350126  0.8964930194  0.9004362526  0.9132581883
#>  [161]  0.9144298292  0.9191308057  0.9235344598  0.9256167419  0.9243393253
#>  [166]  0.9260112137  0.9253475072  0.9258717781  0.9228652399  0.9189821431
#>  [171]  0.9329909671  0.9326047499  0.9304334189  0.9285282407  0.9214415683
#>  [176]  0.9022022750  0.8963724606  0.8948036623  0.9028299360  0.8997845863
#>  [181]  0.9010574496  0.9095823005  0.9083761975  0.8985128279  0.9060813316
#>  [186]  0.9005942624  0.9018103069  0.8970158268  0.8969231858  0.8926078782
#>  [191]  0.8968376619  0.8943560068  0.8885421242  0.8842548260  0.8845997663
#>  [196]  0.8883800005  0.8909204396  0.7867419568  0.7870036039  0.7818114893
#>  [201]  0.7803927386  0.7721568825  0.7672881883  0.7765303248  0.7763862639
#>  [206]  0.7754109170  0.7907622407  0.7886131109  0.7861102224  0.7542909875
#>  [211]  0.7584320832  0.7612539644  0.7310412479  0.7342961049  0.7448998175
#>  [216]  0.7440676947  0.7458900824  0.7357549405  0.7264447637  0.7249597335
#>  [221]  0.7006403266  0.6803010607  0.6818351902  0.6795015332  0.6808116200
#>  [226]  0.6649806187  0.6551369687  0.6497680186  0.7823094819  0.7754439148
#>  [231]  0.7810694650  0.7815870850  0.7819431331  0.7885419867  0.7705557383
#>  [236]  0.7716354341  0.7848621442  0.7856275691  0.7875197009  0.7819502476
#>  [241]  0.7933637655  0.7755575922  0.7849463849  0.8551586806  0.8847246023
#>  [246]  0.8890340445  0.8887948761  0.8985495889  0.9097284255  0.9104897792
#>  [251]  0.9133509908  0.9356007938  0.9363662128  0.9318736328  0.9280093870
#>  [256]  0.9292314747  0.9294598864  0.9271719763  0.9258177414  0.9266955763
#>  [261]  0.9105036735  0.9077990378  0.9035102499  0.8915978755  0.8888413703
#>  [266]  0.8927944191  0.8900732739  0.8865658757  0.8884505214  0.8903014892
#>  [271]  0.8909105193  0.8905213079  0.8914944405  0.8843101831  0.8733283977
#>  [276]  0.8426409089  0.8421373376  0.8421451358  0.8258851728  0.8264420142
#>  [281]  0.8250579659  0.7992285501  0.7949752390  0.7583938256  0.7631252918
#>  [286]  0.7637476748  0.7574803906  0.7574487931  0.7559316464  0.7547425592
#>  [291]  0.7422960865  0.7676211290  0.7639235885  0.7619763088  0.7758492907
#>  [296]  0.7754101605  0.7353607131  0.7379457326  0.7421997030  0.7358649018
#>  [301]  0.7307963532  0.7329782938  0.7339468690  0.7334955951  0.7246586389
#>  [306]  0.7305489875  0.7533819937  0.7515969412  0.7522718563  0.7545784680
#>  [311]  0.7542247134  0.7162958261  0.7529919875  0.7605457795  0.8312313347
#>  [316]  0.8130912483  0.8304079689  0.8323609590  0.8271457201  0.8267024965
#>  [321]  0.8179638779  0.8189601720  0.8323101184  0.8362138491  0.8320849167
#>  [326]  0.8458791385  0.8620466053  0.8615588872  0.8636266690  0.8557082553
#>  [331]  0.8554051075  0.8255996306  0.8287084797  0.8218629876  0.8088125891
#>  [336]  0.8091391170  0.8071523497  0.8271016621  0.8282547979  0.8280023236
#>  [341]  0.7943764496  0.7945486734  0.8187580148  0.8149161972  0.8174863586
#>  [346]  0.8291107985  0.8217588699  0.8113882283  0.8126732769  0.7548127158
#>  [351]  0.7510389420  0.7570176634  0.7554749195  0.7721965241  0.7736637350
#>  [356]  0.7774396400  0.7696646732  0.7520678156  0.7498236789  0.7487611596
#>  [361]  0.7493841741  0.7522939323  0.7684737896  0.7256762594  0.7293449984
#>  [366]  0.7378242856  0.7336200512  0.6341594406  0.5924871907  0.5901551466
#>  [371]  0.5954969390  0.5788153298  0.5787792289  0.5416996348  0.4869083663
#>  [376]  0.4879109533  0.5248897218  0.5751060214  0.5914797195  0.5907461266
#>  [381]  0.6673750995  0.6617084191  0.6610123054  0.6440646916  0.6176265329
#>  [386]  0.6152364046  0.6272471282  0.6416976725  0.6423257188  0.5824399636
#>  [391]  0.5977543660  0.6042651916  0.6146115333  0.6159471990  0.6177119863
#>  [396]  0.6156062803  0.5115007587  0.5116926685  0.5668955331  0.5668998686
#>  [401]  0.5668323658  0.5606948119  0.5789784726  0.5760987485  0.6150426274
#>  [406]  0.6381870357  0.6314882900  0.6036047967  0.5811092292  0.5912893697
#>  [411]  0.5899249731  0.5652776262  0.5678109148  0.5672784821  0.5619287659
#>  [416]  0.5579355792  0.5465825977  0.5318092787  0.5287716239  0.5333329555
#>  [421]  0.5890604618  0.5728536344  0.6020364990  0.5882058819  0.5853574591
#>  [426]  0.6069179977  0.6281429363  0.7843762481  0.7690367892  0.7724811031
#>  [431]  0.7769632390  0.7678283111  0.7042637610  0.6627515373  0.6610195788
#>  [436]  0.6180510162  0.5443554934  0.5435572874  0.5395155870  0.5394211859
#>  [441]  0.4112637491  0.4440603708  0.4394586821  0.4428204418  0.4414258054
#>  [446]  0.4505526098  0.4505436531  0.4420237412  0.4390149574  0.4212411669
#>  [451]  0.3232692284  0.3244806255  0.3164925604  0.2625274055  0.2764441316
#>  [456]  0.2804427361  0.2722057355  0.2394046555  0.1729932444  0.1823943768
#>  [461]  0.1637128188  0.1389472646  0.1424901310  0.1562609368  0.2204850082
#>  [466]  0.2277002989  0.2058574551  0.2345783658  0.2361215278  0.1841834677
#>  [471]  0.1778421736  0.2486986405  0.1744643401  0.1793300251  0.1780354435
#>  [476]  0.1833906004  0.1924370045  0.1920680467  0.2355442330  0.2302370185
#>  [481]  0.2357852470  0.3214087998  0.3225075976  0.3397573943  0.3410771664
#>  [486]  0.3171605893  0.3128576894  0.2720214572  0.2733066002  0.1888366308
#>  [491]  0.1824455857  0.1562936428  0.2292491942  0.2312908006  0.2383750064
#>  [496]  0.1964482083  0.1905862064  0.1979044075  0.1993292905  0.2328040647
#>  [501]  0.2701670674  0.2661815983  0.2855341300  0.3114735235  0.3160832234
#>  [506]  0.3299255701  0.3267532652  0.3271420143  0.2880493705  0.2615444291
#>  [511]  0.2667119173  0.2667810289  0.2693789356  0.2671067543  0.2714474989
#>  [516]  0.2756598375  0.2763649454  0.2800437771  0.3283685240  0.3297266076
#>  [521]  0.4153962312  0.3907522910  0.4367970943  0.3496707309  0.3474369970
#>  [526]  0.3657323902  0.3678179084  0.3090120625  0.3106432557  0.3122409354
#>  [531]  0.2863468849  0.2967925129  0.3052846333  0.2677980064  0.3862918583
#>  [536]  0.3795459787  0.3648984944  0.3587549397  0.3473447469  0.3412942477
#>  [541]  0.3272939097  0.3270143647  0.3275732502  0.3302608494  0.3293894799
#>  [546]  0.3210277312  0.3120240004  0.3033411774  0.3025675699  0.3135841781
#>  [551]  0.3136136957  0.3517523775  0.3752726656  0.3658460331  0.4102185875
#>  [556]  0.4006630445  0.3829816811  0.4326306417  0.5108113394  0.5105023137
#>  [561]  0.5084920231  0.5476644356  0.5517598287  0.5788370741  0.5755234973
#>  [566]  0.5290182227  0.5305791910  0.5506137569  0.5596188414  0.5562243955
#>  [571]  0.6126158275  0.6084092611  0.6370047649  0.6344980637  0.6339036933
#>  [576]  0.6346755533  0.6351359670  0.6505890451  0.6566517841  0.6587484536
#>  [581]  0.6902296541  0.6957238366  0.7001468407  0.6980169197  0.6901124898
#>  [586]  0.6922995875  0.7149569670  0.7250500498  0.7164907245  0.7114659039
#>  [591]  0.7115821846  0.7307688207  0.7173445584  0.7187952803  0.7210603821
#>  [596]  0.7341367130  0.7451633166  0.7126487566  0.6712316001  0.6252385504
#>  [601]  0.6339358829  0.6370188968  0.6459135205  0.6469227639  0.6504424211
#>  [606]  0.6632303350  0.6672949523  0.6607782351  0.6549666889  0.6546028365
#>  [611]  0.6618868752  0.6443605953  0.6211731723  0.6147370304  0.6189599219
#>  [616]  0.6225037562  0.6486925966  0.6492171601  0.6425312397  0.6328211633
#>  [621]  0.6649729851  0.6642659257  0.6379863899  0.6380310259  0.6408465708
#>  [626]  0.6141475916  0.6362823734  0.6213534242  0.6651974629  0.7174494718
#>  [631]  0.8168730537  0.8214729671  0.8240092558  0.8351984197  0.8344551600
#>  [636]  0.8374342550  0.8261770720  0.8033260086  0.7890775871  0.8020262590
#>  [641]  0.7981888020  0.7946894034  0.7903195153  0.8121033081  0.8063131404
#>  [646]  0.8190717621  0.8339196177  0.8321595055  0.8317222022  0.8295955128
#>  [651]  0.8291583169  0.8075249202  0.8088828666  0.8089889496  0.8226548012
#>  [656]  0.8087642598  0.8130492175  0.8141312270  0.7947507209  0.7985718831
#>  [661]  0.7961604837  0.7944861672  0.7958515294  0.7824948281  0.7847050140
#>  [666]  0.7858056668  0.7816921297  0.7657357711  0.7780780788  0.8080339380
#>  [671]  0.7985243123  0.8062560545  0.8089617159  0.8141530337  0.8135578934
#>  [676]  0.8188924531  0.8013377312  0.7936515587  0.7821823213  0.7676273339
#>  [681]  0.7716581128  0.7661086643  0.7741781203  0.7861153710  0.7911208069
#>  [686]  0.7765663507  0.7877999652  0.7807162134  0.7848303961  0.7869639410
#>  [691]  0.7858521837  0.7878526254  0.7885241151  0.7996537389  0.7746365100
#>  [696]  0.7946402967  0.7940268503  0.8291164925  0.8431861520  0.8584307624
#>  [701]  0.8607511644  0.8735650917  0.8738890929  0.8742934219  0.8741873283
#>  [706]  0.8749605570  0.8749663385  0.8851009736  0.8840843013  0.8828935132
#>  [711]  0.9012349593  0.9007454103  0.9046350028  0.9019519218  0.8815763651
#>  [716]  0.8730232620  0.8760014148  0.8770198850  0.8834258840  0.8826074660
#>  [721]  0.8511413704  0.8500070265  0.8458536338  0.8333662741  0.8254222188
#>  [726]  0.8525281439  0.8400721399  0.8401731036  0.8148805162  0.8227226059
#>  [731]  0.8219011607  0.8253444522  0.8336857687  0.8471143496  0.8471281035
#>  [736]  0.8469110553  0.8470141860  0.8478634982  0.8408205923  0.8417459710
#>  [741]  0.8418499188  0.8497587477  0.8497706349  0.8709751455  0.8774154361
#>  [746]  0.8961204415  0.9049403321  0.9027055005  0.9040950338  0.9045517524
#>  [751]  0.9092747948  0.9425685815  0.9455176407  0.9480446432  0.9478662416
#>  [756]  0.9512537231  0.9545401690  0.9534406980  0.9538769216  0.9553755601
#>  [761]  0.9505328568  0.9476158225  0.9384133737  0.9296584446  0.9236327608
#>  [766]  0.9204760327  0.9317151284  0.8100784048  0.8143238591  0.8279817762
#>  [771]  0.8335361568  0.8392109263  0.8342553028  0.8333584031  0.8141256211
#>  [776]  0.8180996854  0.8102432393  0.8146234886  0.8155782990  0.8204364297
#>  [781]  0.8181936148  0.8092535017  0.8096637044  0.8102278790  0.8119370840
#>  [786]  0.8227596067  0.8161599302  0.8049610363  0.8068633100  0.8137547465
#>  [791]  0.8243522694  0.8254817375  0.8291968049  0.8394711054  0.8471335879
#>  [796]  0.8254369642  0.8255555368  0.8111169683  0.9265156223  0.9228712013
#>  [801]  0.9235312059  0.9235361206  0.9192372445  0.9201943635  0.9203231792
#>  [806]  0.9222371680  0.9197231955  0.9261181103  0.9222994946  0.9280764093
#>  [811]  0.9225754820  0.9229521908  0.9228263696  0.9226626080  0.9228788372
#>  [816]  0.9214595613  0.9218998284  0.9219804217  0.9232633567  0.9274109582
#>  [821]  0.9241730111  0.9205842557  0.9095261222  0.9081952572  0.9057230958
#>  [826]  0.9033100108  0.9383662799  0.9387177545  0.9379750530  0.9374684005
#>  [831]  0.9302219406  0.9271902616  0.9266363863  0.9229546460  0.9214585331
#>  [836]  0.9226393618  0.9205622341  0.9176350744  0.9163476008  0.9201191092
#>  [841]  0.9109789889  0.9168158797  0.9178978990  0.9197775696  0.9038296028
#>  [846]  0.9025689946  0.9067806442  0.9047487924  0.9046507896  0.9030913501
#>  [851]  0.9042058654  0.9034968862  0.9018792192  0.9137870122  0.9176890340
#>  [856]  0.9139809073  0.9130009546  0.9163860765  0.9200635962  0.9179550341
#>  [861]  0.9154571479  0.9222095403  0.9214553041  0.9181319560  0.9228503220
#>  [866]  0.9257083859  0.9257684268  0.9281905130  0.9153773691  0.9163770559
#>  [871]  0.9175063531  0.9238074311  0.9216145477  0.9270113232  0.9269164863
#>  [876]  0.9445627703  0.9479269198  0.9471956885  0.9504996508  0.9495593391
#>  [881]  0.9496509363  0.9451819566  0.9434831764  0.9063929080  0.9099773194
#>  [886]  0.9089254360  0.9152812096  0.8976222877  0.8841515002  0.8811803044
#>  [891]  0.8882078711  0.8888392823  0.8875990344  0.8907387929  0.8830306291
#>  [896]  0.8769215614  0.8693999572  0.8649104625  0.8590793183  0.8698652210
#>  [901]  0.8689795831  0.8579019322  0.8507726712  0.8526815314  0.8354967927
#>  [906]  0.8383306247  0.8359983211  0.8287194542  0.8280145665  0.8347401924
#>  [911]  0.8302225784  0.8311227010  0.8180232673  0.8203758549  0.8540867009
#>  [916]  0.8444607423  0.8375626280  0.8347641842  0.8433459164  0.8557011216
#>  [921]  0.8441666117  0.8287538654  0.8270608814  0.8285847648  0.8184092241
#>  [926]  0.8119070672  0.8242417574  0.8334336977  0.8386101539  0.8423526523
#>  [931]  0.8452570537  0.8446540778  0.8491355297  0.8468141810  0.8381941122
#>  [936]  0.8331853394  0.8152042525  0.8220844343  0.8222249780  0.6862828196
#>  [941]  0.6728961489  0.6903542747  0.6891049509  0.6920957122  0.6927284906
#>  [946]  0.6904669895  0.6797133514  0.6758553076  0.6827254358  0.6754992590
#>  [951]  0.4321419462  0.4380051246  0.4425972575  0.4452660219  0.4477543663
#>  [956]  0.4422042351  0.4199666784  0.3903349579  0.3508686336  0.3371735085
#>  [961]  0.2638502086  0.2243454592  0.2244234472  0.1734444489  0.1759441178
#>  [966]  0.1153572369  0.0869119214  0.0284843257 -0.0324908485 -0.0906236659
#>  [971] -0.0018811205 -0.0085034162 -0.1268590711 -0.0427660571 -0.0032638884
#>  [976] -0.0035056470 -0.0034851780 -0.0108455652 -0.0198073041 -0.0907672514
#>  [981] -0.0819271067  0.0768274382  0.0623091845  0.0317903905 -0.0109203437
#>  [986] -0.0595443258 -0.0577918840 -0.0159977441 -0.0132668115 -0.0322928459
#>  [991] -0.0070637164  0.0041281457  0.0084524619 -0.0007725288  0.0218333481
#>  [996]  0.0052731600 -0.0062876743 -0.0140043053 -0.0130050874 -0.0273500172
#> [1001] -0.0373480077 -0.0208829560 -0.0209980563 -0.0028129520 -0.0829365145
#> [1006] -0.1221682901 -0.1379643418 -0.1208664383 -0.0144607381 -0.0002201815
#> [1011] -0.0130428377 -0.0143430170  0.0173313786  0.0454746066  0.0642398668
#> [1016]  0.1041209147  0.2272294472  0.2265095012  0.2455917121  0.2591551276
#> [1021]  0.3021197735  0.2892523258  0.3806530034  0.3946360485  0.4132259624
#> [1026]  0.4779721610  0.4948274059  0.4976486907  0.5144757905  0.5336398309
#> [1031]  0.5401898967  0.6163172383  0.6211946379  0.6304236573  0.6167184829
#> [1036]  0.6398678419  0.6619889439  0.6831877743  0.6984489285  0.6678786462
#> [1041]  0.6688571568  0.6889749409  0.6977510724  0.7039006605  0.7061209171
#> [1046]  0.7176429892  0.7481181580  0.6771385658  0.6541597213  0.6404189419
#> [1051]  0.6446486361  0.6307496484  0.6344463959  0.6381739265  0.3895345311
#> [1056]  0.3835791701  0.3478301613  0.3578577107  0.3767559380  0.3784743197
#> [1061]  0.3763097135  0.3928285056  0.2862536161  0.2873812369  0.2815142225
#> [1066]  0.2925066305  0.2964857204  0.3111621891  0.2837217391  0.2721050881
#> [1071]  0.2535238651  0.2457580968  0.2338810275  0.2320417950  0.2128229979
#> [1076]  0.1892726741  0.1102412570  0.1071025738  0.0758660633  0.0735198641
#> [1081]  0.0342400028 -0.0092507344
roll_dispersion(dat.PoR$azi.PoR, y = 135, w = 1 / dat$unc)
#>    [1] 0.03501763 0.03445033 0.03658720 0.03838845 0.03621586 0.03531313
#>    [7] 0.03799342 0.03679912 0.03432592 0.03397389 0.03404059 0.03406548
#>   [13] 0.03458437 0.03426001 0.03377595 0.03703979 0.03412906 0.03563115
#>   [19] 0.03489086 0.03524728 0.03441607 0.03610684 0.04360663 0.04347905
#>   [25] 0.04327004 0.04286985 0.04008096 0.03763359 0.03810207 0.03753731
#>   [31] 0.03749682 0.03803119 0.03737969 0.03580332 0.03485597 0.03545803
#>   [37] 0.03506167 0.03275163 0.03301348 0.03380482 0.03220761 0.03205670
#>   [43] 0.03387133 0.03309979 0.03287212 0.03290509 0.03018735 0.02907622
#>   [49] 0.02734531 0.02803959 0.03145888 0.03147435 0.02637973 0.01790246
#>   [55] 0.01819621 0.01813194 0.01848918 0.01930064 0.01923735 0.01960411
#>   [61] 0.02000631 0.02116088 0.02098694 0.02106444 0.02101422 0.02001983
#>   [67] 0.02040102 0.02065831 0.02086460 0.02083246 0.02102052 0.02496353
#>   [73] 0.02488507 0.02319282 0.02311634 0.02362790 0.02310021 0.02262475
#>   [79] 0.02423884 0.02796593 0.02691561 0.02265789 0.03370002 0.03424827
#>   [85] 0.03392179 0.03302571 0.03293967 0.03386731 0.03504321 0.03540123
#>   [91] 0.03583414 0.03580864 0.03539797 0.03879480 0.04100213 0.04578191
#>   [97] 0.04851864 0.04471894 0.02871220 0.02668658 0.02652395 0.03256015
#>  [103] 0.03154420 0.02789214 0.02604807 0.02727498 0.03755561 0.03545943
#>  [109] 0.03513278 0.03460478 0.03368495 0.03374761 0.03454047 0.04092174
#>  [115] 0.04664270 0.04598242 0.04705714 0.04720839 0.04743586 0.04712448
#>  [121] 0.04688036 0.04658344 0.04434882 0.04267078 0.03968464 0.04681889
#>  [127] 0.04361898 0.04183837 0.04431002 0.04999526 0.05220786 0.05288656
#>  [133] 0.05105342 0.04976311 0.05239166 0.05316268 0.05217285 0.04319386
#>  [139] 0.04220886 0.04377886 0.04253605 0.04176898 0.04113040 0.04043465
#>  [145] 0.03450464 0.02812715 0.02743365 0.02504053 0.02495961 0.02527180
#>  [151] 0.02763701 0.02731224 0.02935573 0.03240542 0.03257683 0.03376989
#>  [157] 0.02516625 0.02587675 0.02489094 0.02168545 0.02139254 0.02021730
#>  [163] 0.01911639 0.01859581 0.01891517 0.01849720 0.01866312 0.01853206
#>  [169] 0.01928369 0.02025446 0.01675226 0.01684881 0.01739165 0.01786794
#>  [175] 0.01963961 0.02444943 0.02590688 0.02629908 0.02429252 0.02505385
#>  [181] 0.02473564 0.02260442 0.02290595 0.02537179 0.02347967 0.02485143
#>  [187] 0.02454742 0.02574604 0.02576920 0.02684803 0.02579058 0.02641100
#>  [193] 0.02786447 0.02893629 0.02885006 0.02790500 0.02726989 0.05331451
#>  [199] 0.05324910 0.05454713 0.05490182 0.05696078 0.05817795 0.05586742
#>  [205] 0.05590343 0.05614727 0.05230944 0.05284672 0.05347244 0.06142725
#>  [211] 0.06039198 0.05968651 0.06723969 0.06642597 0.06377505 0.06398308
#>  [217] 0.06352748 0.06606126 0.06838881 0.06876007 0.07483992 0.07992473
#>  [223] 0.07954120 0.08012462 0.07979709 0.08375485 0.08621576 0.08755800
#>  [229] 0.05442263 0.05613902 0.05473263 0.05460323 0.05451422 0.05286450
#>  [235] 0.05736107 0.05709114 0.05378446 0.05359311 0.05312007 0.05451244
#>  [241] 0.05165906 0.05611060 0.05376340 0.03621033 0.02881885 0.02774149
#>  [247] 0.02780128 0.02536260 0.02256789 0.02237756 0.02166225 0.01609980
#>  [253] 0.01590845 0.01703159 0.01799765 0.01769213 0.01763503 0.01820701
#>  [259] 0.01854556 0.01832611 0.02237408 0.02305024 0.02412244 0.02710053
#>  [265] 0.02778966 0.02680140 0.02748168 0.02835853 0.02788737 0.02742463
#>  [271] 0.02727237 0.02736967 0.02712639 0.02892245 0.03166790 0.03933977
#>  [277] 0.03946567 0.03946372 0.04352871 0.04338950 0.04373551 0.05019286
#>  [283] 0.05125619 0.06040154 0.05921868 0.05906308 0.06062990 0.06063780
#>  [289] 0.06101709 0.06131436 0.06442598 0.05809472 0.05901910 0.05950592
#>  [295] 0.05603768 0.05614746 0.06615982 0.06551357 0.06445007 0.06603377
#>  [301] 0.06730091 0.06675543 0.06651328 0.06662610 0.06883534 0.06736275
#>  [307] 0.06165450 0.06210076 0.06193204 0.06135538 0.06144382 0.07092604
#>  [313] 0.06175200 0.05986356 0.04219217 0.04672719 0.04239801 0.04190976
#>  [319] 0.04321357 0.04332438 0.04550903 0.04525996 0.04192247 0.04094654
#>  [325] 0.04197877 0.03853022 0.03448835 0.03461028 0.03409333 0.03607294
#>  [331] 0.03614872 0.04360009 0.04282288 0.04453425 0.04779685 0.04771522
#>  [337] 0.04821191 0.04322458 0.04293630 0.04299942 0.05140589 0.05136283
#>  [343] 0.04531050 0.04627095 0.04562841 0.04272230 0.04456028 0.04715294
#>  [349] 0.04683168 0.06129682 0.06224026 0.06074558 0.06113127 0.05695087
#>  [355] 0.05658407 0.05564009 0.05758383 0.06198305 0.06254408 0.06280971
#>  [361] 0.06265396 0.06192652 0.05788155 0.06858094 0.06766375 0.06554393
#>  [367] 0.06659499 0.09146014 0.10187820 0.10246121 0.10112577 0.10529617
#>  [373] 0.10530519 0.11457509 0.12827291 0.12802226 0.11877757 0.10622349
#>  [379] 0.10213007 0.10231347 0.08315623 0.08457290 0.08474692 0.08898383
#>  [385] 0.09559337 0.09619090 0.09318822 0.08957558 0.08941857 0.10439001
#>  [391] 0.10056141 0.09893370 0.09634712 0.09601320 0.09557200 0.09609843
#>  [397] 0.12212481 0.12207683 0.10827612 0.10827503 0.10829191 0.10982630
#>  [403] 0.10525538 0.10597531 0.09623934 0.09045324 0.09212793 0.09909880
#>  [409] 0.10472269 0.10217766 0.10251876 0.10868059 0.10804727 0.10818038
#>  [415] 0.10951781 0.11051611 0.11335435 0.11704768 0.11780709 0.11666676
#>  [421] 0.10273488 0.10678659 0.09949088 0.10294853 0.10366064 0.09827050
#>  [427] 0.09296427 0.05390594 0.05774080 0.05687972 0.05575919 0.05804292
#>  [433] 0.07393406 0.08431212 0.08474511 0.09548725 0.11391113 0.11411068
#>  [439] 0.11512110 0.11514470 0.14718406 0.13898491 0.14013533 0.13929489
#>  [445] 0.13964355 0.13736185 0.13736409 0.13949406 0.14024626 0.14468971
#>  [451] 0.16918269 0.16887984 0.17087686 0.18436815 0.18088897 0.17988932
#>  [457] 0.18194857 0.19014884 0.20675169 0.20440141 0.20907180 0.21526318
#>  [463] 0.21437747 0.21093477 0.19487875 0.19307493 0.19853564 0.19135541
#>  [469] 0.19096962 0.20395413 0.20553946 0.18782534 0.20638391 0.20516749
#>  [475] 0.20549114 0.20415235 0.20189075 0.20198299 0.19111394 0.19244075
#>  [481] 0.19105369 0.16964780 0.16937310 0.16506065 0.16473071 0.17070985
#>  [487] 0.17178558 0.18199464 0.18167335 0.20279084 0.20438860 0.21092659
#>  [493] 0.19268770 0.19217730 0.19040625 0.20088795 0.20235345 0.20052390
#>  [499] 0.20016768 0.19179898 0.18245823 0.18345460 0.17861647 0.17213162
#>  [505] 0.17097919 0.16751861 0.16831168 0.16821450 0.17798766 0.18461389
#>  [511] 0.18332202 0.18330474 0.18265527 0.18322331 0.18213813 0.18108504
#>  [517] 0.18090876 0.17998906 0.16790787 0.16756835 0.14615094 0.15231193
#>  [523] 0.14080073 0.16258232 0.16314075 0.15856690 0.15804552 0.17274698
#>  [529] 0.17233919 0.17193977 0.17841328 0.17580187 0.17367884 0.18305050
#>  [535] 0.15342704 0.15511351 0.15877538 0.16031127 0.16316381 0.16467644
#>  [541] 0.16817652 0.16824641 0.16810669 0.16743479 0.16765263 0.16974307
#>  [547] 0.17199400 0.17416471 0.17435811 0.17160396 0.17159658 0.16206191
#>  [553] 0.15618183 0.15853849 0.14744535 0.14983424 0.15425458 0.14184234
#>  [559] 0.12229717 0.12237442 0.12287699 0.11308389 0.11206004 0.10529073
#>  [565] 0.10611913 0.11774544 0.11735520 0.11234656 0.11009529 0.11094390
#>  [571] 0.09684604 0.09789768 0.09074881 0.09137548 0.09152408 0.09133111
#>  [577] 0.09121601 0.08735274 0.08583705 0.08531289 0.07744259 0.07606904
#>  [583] 0.07496329 0.07549577 0.07747188 0.07692510 0.07126076 0.06873749
#>  [589] 0.07087732 0.07213352 0.07210445 0.06730779 0.07066386 0.07030118
#>  [595] 0.06973490 0.06646582 0.06370917 0.07183781 0.08219210 0.09369036
#>  [601] 0.09151603 0.09074528 0.08852162 0.08826931 0.08738939 0.08419242
#>  [607] 0.08317626 0.08480544 0.08625833 0.08634929 0.08452828 0.08890985
#>  [613] 0.09470671 0.09631574 0.09526002 0.09437406 0.08782685 0.08769571
#>  [619] 0.08936719 0.09179471 0.08375675 0.08393352 0.09050340 0.09049224
#>  [625] 0.08978836 0.09646310 0.09092941 0.09466164 0.08370063 0.07063763
#>  [631] 0.04578174 0.04463176 0.04399769 0.04120040 0.04138621 0.04064144
#>  [637] 0.04345573 0.04916850 0.05273060 0.04949344 0.05045280 0.05132765
#>  [643] 0.05242012 0.04697417 0.04842171 0.04523206 0.04152010 0.04196012
#>  [649] 0.04206945 0.04260112 0.04271042 0.04811877 0.04777928 0.04775276
#>  [655] 0.04433630 0.04780894 0.04673770 0.04646719 0.05131232 0.05035703
#>  [661] 0.05095988 0.05137846 0.05103712 0.05437629 0.05382375 0.05354858
#>  [667] 0.05457697 0.05856606 0.05548048 0.04799152 0.05036892 0.04843599
#>  [673] 0.04775957 0.04646174 0.04661053 0.04527689 0.04966557 0.05158711
#>  [679] 0.05445442 0.05809317 0.05708547 0.05847283 0.05645547 0.05347116
#>  [685] 0.05221980 0.05585841 0.05305001 0.05482095 0.05379240 0.05325901
#>  [691] 0.05353695 0.05303684 0.05286897 0.05008657 0.05634087 0.05133993
#>  [697] 0.05149329 0.04272088 0.03920346 0.03539231 0.03481221 0.03160873
#>  [703] 0.03152773 0.03142664 0.03145317 0.03125986 0.03125842 0.02872476
#>  [709] 0.02897892 0.02927662 0.02469126 0.02481365 0.02384125 0.02451202
#>  [715] 0.02960591 0.03174418 0.03099965 0.03074503 0.02914353 0.02934813
#>  [721] 0.03721466 0.03749824 0.03853659 0.04165843 0.04364445 0.03686796
#>  [727] 0.03998197 0.03995672 0.04627987 0.04431935 0.04452471 0.04366389
#>  [733] 0.04157856 0.03822141 0.03821797 0.03827224 0.03824645 0.03803413
#>  [739] 0.03979485 0.03956351 0.03953752 0.03756031 0.03755734 0.03225621
#>  [745] 0.03064614 0.02596989 0.02376492 0.02432362 0.02397624 0.02386206
#>  [751] 0.02268130 0.01435785 0.01362059 0.01298884 0.01303344 0.01218657
#>  [757] 0.01136496 0.01163983 0.01153077 0.01115611 0.01236679 0.01309604
#>  [763] 0.01539666 0.01758539 0.01909181 0.01988099 0.01707122 0.04748040
#>  [769] 0.04641904 0.04300456 0.04161596 0.04019727 0.04143617 0.04166040
#>  [775] 0.04646859 0.04547508 0.04743919 0.04634413 0.04610543 0.04489089
#>  [781] 0.04545160 0.04768662 0.04758407 0.04744303 0.04701573 0.04431010
#>  [787] 0.04596002 0.04875974 0.04828417 0.04656131 0.04391193 0.04362957
#>  [793] 0.04270080 0.04013222 0.03821660 0.04364076 0.04361112 0.04722076
#>  [799] 0.01837109 0.01928220 0.01911720 0.01911597 0.02019069 0.01995141
#>  [805] 0.01991921 0.01944071 0.02006920 0.01847047 0.01942513 0.01798090
#>  [811] 0.01935613 0.01926195 0.01929341 0.01933435 0.01928029 0.01963511
#>  [817] 0.01952504 0.01950489 0.01918416 0.01814726 0.01895675 0.01985394
#>  [823] 0.02261847 0.02295119 0.02356923 0.02417250 0.01540843 0.01532056
#>  [829] 0.01550624 0.01563290 0.01744451 0.01820243 0.01834090 0.01926134
#>  [835] 0.01963537 0.01934016 0.01985944 0.02059123 0.02091310 0.01997022
#>  [841] 0.02225525 0.02079603 0.02052553 0.02005561 0.02404260 0.02435775
#>  [847] 0.02330484 0.02381280 0.02383730 0.02422716 0.02394853 0.02412578
#>  [853] 0.02453020 0.02155325 0.02057774 0.02150477 0.02174976 0.02090348
#>  [859] 0.01998410 0.02051124 0.02113571 0.01944761 0.01963617 0.02046701
#>  [865] 0.01928742 0.01857290 0.01855789 0.01795237 0.02115566 0.02090574
#>  [871] 0.02062341 0.01904814 0.01959636 0.01824717 0.01827088 0.01385931
#>  [877] 0.01301827 0.01320108 0.01237509 0.01261017 0.01258727 0.01370451
#>  [883] 0.01412921 0.02340177 0.02250567 0.02276864 0.02117970 0.02559443
#>  [889] 0.02896212 0.02970492 0.02794803 0.02779018 0.02810024 0.02731530
#>  [895] 0.02924234 0.03076961 0.03265001 0.03377238 0.03523017 0.03253369
#>  [901] 0.03275510 0.03552452 0.03730683 0.03682962 0.04112580 0.04041734
#>  [907] 0.04100042 0.04282014 0.04299636 0.04131495 0.04244436 0.04221932
#>  [913] 0.04549418 0.04490604 0.03647832 0.03888481 0.04060934 0.04130895
#>  [919] 0.03916352 0.03607472 0.03895835 0.04281153 0.04323478 0.04285381
#>  [925] 0.04539769 0.04702323 0.04393956 0.04164158 0.04034746 0.03941184
#>  [931] 0.03868574 0.03883648 0.03771612 0.03829645 0.04045147 0.04170367
#>  [937] 0.04619894 0.04447889 0.04444376 0.07842930 0.08177596 0.07741143
#>  [943] 0.07772376 0.07697607 0.07681788 0.07738325 0.08007166 0.08103617
#>  [949] 0.07931864 0.08112519 0.14196451 0.14049872 0.13935069 0.13868349
#>  [955] 0.13806141 0.13944894 0.14500833 0.15241626 0.16228284 0.16570662
#>  [961] 0.18403745 0.19391364 0.19389414 0.20663889 0.20601397 0.22116069
#>  [967] 0.22827202 0.24287892 0.25812271 0.27265592 0.25047028 0.25212585
#>  [973] 0.28171477 0.26069151 0.25081597 0.25087641 0.25087129 0.25271139
#>  [979] 0.25495183 0.27269181 0.27048178 0.23079314 0.23442270 0.24205240
#>  [985] 0.25273009 0.26488608 0.26444797 0.25399944 0.25331670 0.25807321
#>  [991] 0.25176593 0.24896796 0.24788688 0.25019313 0.24454166 0.24868171
#>  [997] 0.25157192 0.25350108 0.25325127 0.25683750 0.25933700 0.25522074
#> [1003] 0.25524951 0.25070324 0.27073413 0.28054207 0.28449109 0.28021661
#> [1009] 0.25361518 0.25005505 0.25326071 0.25358575 0.24566716 0.23863135
#> [1015] 0.23394003 0.22396977 0.19319264 0.19337262 0.18860207 0.18521122
#> [1021] 0.17447006 0.17768692 0.15483675 0.15134099 0.14669351 0.13050696
#> [1027] 0.12629315 0.12558783 0.12138105 0.11659004 0.11495253 0.09592069
#> [1033] 0.09470134 0.09239409 0.09582038 0.09003304 0.08450276 0.07920306
#> [1039] 0.07538777 0.08303034 0.08278571 0.07775626 0.07556223 0.07402483
#> [1045] 0.07346977 0.07058925 0.06297046 0.08071536 0.08646007 0.08989526
#> [1051] 0.08883784 0.09231259 0.09138840 0.09045652 0.15261637 0.15410521
#> [1057] 0.16304246 0.16053557 0.15581102 0.15538142 0.15592257 0.15179287
#> [1063] 0.17843660 0.17815469 0.17962144 0.17687334 0.17587857 0.17220945
#> [1069] 0.17906957 0.18197373 0.18661903 0.18856048 0.19152974 0.19198955
#> [1075] 0.19679425 0.20268183 0.22243969 0.22322436 0.23103348 0.23162003
#> [1081] 0.24144000 0.25231268
roll_confidence(dat.PoR$azi.PoR, w = 1 / dat$unc)
#>                                                                              
#>  34.629991  33.835627  34.544915  34.729082  32.664503  31.415622  33.137503 
#>                                                                              
#>  31.732427  28.437829  27.680863  27.142274  27.101290  27.130003  26.680367 
#>                                                                              
#>  26.081838  26.562247  25.910728  26.052905  25.509287  25.702726  25.249362 
#>                                                                              
#>  25.446147  41.251662  41.170176  41.021159  40.739225  39.741157  39.524198 
#>                                                                              
#>  39.803674  39.526513  39.513765  39.711848  39.316888  38.802188  38.845283 
#>                                                                              
#>  39.234266  39.053400  37.505452  37.624221  40.367952  39.218641  39.146562 
#>                                                                              
#>  39.453373  39.225759  38.938942  39.182795  37.337610  37.111754  36.913375 
#>                                                                              
#>  37.608064  39.258365  39.255627  37.884439  19.024170  19.068262  19.156021 
#>                                                                              
#>  19.664315  20.105745  20.349450  20.570779  20.795463  21.854877  21.856681 
#>                                                                              
#>  21.884993  21.814943  21.066612  21.228975  21.420853  21.527481  21.449827 
#>                                                                              
#>  21.566740  23.677754  23.611610  22.641952  22.438816  22.457702  22.345121 
#>                                                                              
#>  22.367305  23.214857  25.035018  24.545894  22.773313  26.740022  26.586056 
#>                                                                              
#>  26.384285  25.652909  25.646471  23.349951  23.369625  22.877708  23.877242 
#>                                                                              
#>  24.074824  24.361872  25.283474  25.690322  26.981378  27.747356  26.163356 
#>                                                                              
#>  20.919952  20.115299  19.905867  18.282230  17.295448  16.233440  15.865245 
#>                                                                              
#>  17.025087  16.935392  16.233950  16.135575  16.013844  15.803405  15.490248 
#>                                                                              
#>  15.497984  14.605320  15.106311  15.360738  15.604214  16.032661  16.507553 
#>                                                                              
#>  16.780349  16.770197  16.375607  15.628901  14.966868  14.090847  13.774585 
#>                                                                              
#>  12.957122  12.364215  12.934128  14.036115  14.345268  14.578553  14.931383 
#>                                                                              
#>  14.624488  15.370682  15.611454  14.691018  13.870549  13.634297  13.503843 
#>                                                                              
#>  13.341345  13.254260  13.224270  12.851999  12.197757  10.663508  10.579943 
#>                                                                              
#>   9.473100   9.400223   9.670591   9.913562   9.855805  10.320520  11.205894 
#>                                                                              
#>  11.245080  11.498360  10.658425  10.968470  10.720438  10.239149  10.159202 
#>                                                                              
#>   9.501662   8.547668   8.332912   8.418431   8.450970   8.510712   8.419744 
#>                                                                              
#>   8.649990   8.993193   8.414240   8.445360   8.523838   8.798489   9.071962 
#>                                                                              
#>  10.305733  10.586109  10.380246   9.958368  10.063352   9.575168   9.126195 
#>                                                                              
#>   9.295802   9.731414   9.149127   9.459109   9.383382   9.331490   9.370612 
#>                                                                              
#>   9.565934   9.336856   9.519742   9.946053  10.378639  10.156864   9.762926 
#>                                                                              
#>   9.605665  16.779621  16.715936  17.143197  17.249027  17.664008  17.912980 
#>                                                                              
#>  17.017840  17.254451  18.046380  17.568220  17.654928  17.790537  19.274165 
#>                                                                              
#>  19.160887  19.043668  19.833276  19.474456  19.061647  19.250332  19.218240 
#>                                                                              
#>  24.066342  25.077032  25.187774  25.881089  26.973619  26.804732  27.605999 
#>                                                                              
#>  27.518356  28.900090  29.834991  30.251855  24.947117  24.881477  24.505498 
#>                                                                              
#>  24.534746  24.533313  24.027394  26.492649  26.322495  24.766866  24.672322 
#>                                                                              
#>  25.070956  26.016266  26.179511  28.029235  27.226734  25.544562  22.930901 
#>                                                                              
#>  23.472917  23.523651  22.657360  14.204177  14.104493  12.495668  10.994678 
#>                                                                              
#>  10.803183  10.957515  10.225026  10.003933   9.978938  10.183774  10.300408 
#>                                                                              
#>  10.019362  10.759278  11.002407  10.875015  12.043835  12.199477  11.464668 
#>                                                                              
#>  11.745983  12.622084  12.338098  11.977929  11.730954  11.768718  11.500143 
#>                                                                              
#>  11.909507  12.514023  21.971266  22.009592  21.998379  23.369639  23.322982 
#>                                                                              
#>  23.439069  26.999851  28.257582  28.896394  28.815516  29.415605  30.012362 
#>                                                                              
#>  30.091900  30.212740  30.318186  31.582430  32.335566  33.120451  34.748596 
#>                                                                              
#>  35.321451  35.326041  40.414467  40.693964  40.238250  41.022790  41.542016 
#>                                                                              
#>  41.304613  41.207748  41.258935  43.488410  45.386482  30.985962  30.983881 
#>                                                                              
#>  30.861271  30.904365  30.847426  32.346889  29.572217  29.328916  28.637158 
#>                                                                              
#>  30.721522  26.569522  25.868612  27.204342  27.468016  29.031529  28.960617 
#>                                                                              
#>  27.405261  26.763020  27.800884  25.654845  23.724379  24.091643  23.741231 
#>                                                                              
#>  24.333042  24.315458  23.970083  23.558728  23.842634  24.780205  25.057126 
#>                                                                              
#>  24.957821  23.308009  23.204445  23.172675  23.333097  23.351266  21.509312 
#>                                                                              
#>  21.646417  21.178308  20.274154  20.873184  22.230148  22.312672  23.594206 
#>                                                                              
#>  24.222848  23.204063  23.408044  21.984396  21.959295  21.079184  22.262278 
#>                                                                              
#>  23.732671  24.323231  24.511162  24.413873  24.272591  25.211210  33.183321 
#>                                                                              
#>  32.721127  32.324118  32.751799  38.136122  42.002869  42.216990  41.713431 
#>                                                                              
#>  41.319528  41.345971  51.158994  51.933088  52.020463  48.392462  44.667308 
#>                                                                              
#>  43.802628  43.982731  39.737805  43.934222  44.202825  48.693345  51.865991 
#>                                                                              
#>  51.226200  48.629276  46.014749  45.982395  49.704176  47.917916  47.305040 
#>                                                                              
#>  46.164169  45.431514  40.956978  41.197666  43.825717  43.558483  40.484829 
#>                                                                              
#>  40.235306  40.266750  40.326852  38.669113  38.861852  32.671370  31.581273 
#>                                                                              
#>  31.957196  33.090826  34.520534  34.104330  34.104425  35.875759  31.390364 
#>                                                                              
#>  31.411865  28.697312  29.760268  29.667356  30.126848  30.131582  30.226107 
#>                                                                              
#>  26.935509  28.819646  27.768373  28.756607  29.413799  30.340870  28.623857 
#>                                                                              
#>  24.469505  24.974246  24.619536  23.712560  24.496114  31.095565  36.143791 
#>                                                                              
#>  36.383149  38.131190  42.510679  41.719640  41.544520  41.524536  47.609717 
#>                                                                              
#>  45.312375  46.051859  45.458171  44.645880  45.710164  45.268875  47.940425 
#>                                                                              
#>  47.361426  48.428286  50.679727  51.482348  54.464015  59.805369  58.883445 
#>                                                                              
#>  55.369202  60.994197  62.837478  64.929548  65.551825  66.658287  73.302677 
#>                                                                              
#>  73.445449  67.787517  57.995931  54.970178  62.956643  59.958235  59.908172 
#>                                                                              
#>  64.941107  64.425800  59.767829  65.424435  61.137894  60.932695  61.951368 
#>                                                                              
#>  57.355512  58.684619  51.906697  52.279475  52.362019  52.657552  52.480374 
#>                                                                              
#>  51.055118  49.200945  52.674997  56.189540  55.176498  55.703833  56.456137 
#>                                                                              
#>  56.371110  59.972554  54.810756  55.692768  55.897366  56.376453  57.631129 
#>                                                                              
#>  52.766574  52.552335  45.977400  46.416507  50.576404  49.660078  47.751185 
#>                                                                              
#>  48.257260  46.563350  46.630851  46.312552  49.932660  52.836501  53.466003 
#>                                                                              
#>  53.471221  53.679300  53.061190  51.130136  51.664279  49.581514  50.490310 
#>                                                                              
#>  47.026359  46.889353  43.504098  47.376245  43.444893  49.241027  48.610157 
#>                                                                              
#>  45.069915  51.903206  57.288994  58.055310  58.367768  70.898863  64.885132 
#>                                                                              
#>  59.506351  62.962422  48.018995  48.147278  49.414581  49.329765  53.973843 
#>                                                                              
#>  53.518377  56.043557  51.869270  51.918093  51.588434  51.460746  52.642573 
#>                                                                              
#>  50.917270  55.192228  54.950812  52.548899  52.551199  55.129714  51.339983 
#>                                                                              
#>  55.822024  52.602330  51.119572  55.295739  49.420437  45.035468  45.103499 
#>                                                                              
#>  45.963568  44.907386  44.894806  42.736715  41.508654  48.536854  48.646230 
#>                                                                              
#>  46.826157  45.198095  43.019432  39.143780  40.436090  41.405275  41.643698 
#>                                                                              
#>  41.780085  41.713081  41.649660  41.955315  37.401497  37.233953  36.196207 
#>                                                                              
#>  35.096825  34.234747  34.209087  28.256799  27.801997  26.853267  25.572647 
#>                                                                              
#>  25.891928  26.899755  27.129689  26.095381  27.090497  26.680504  26.686110 
#>                                                                              
#>  26.785664  26.256382  26.130370  31.797559  40.585344  39.254056  38.838742 
#>                                                                              
#>  40.455864  40.817255  40.516934  39.191297  38.845726  39.448301  40.463903 
#>                                                                              
#>  40.421069  39.148677  40.951191  45.778641  46.573173  46.010241  47.468763 
#>                                                                              
#>  45.243490  45.050975  45.604272  47.915527  45.196645  45.458246  48.192292 
#>                                                                              
#>  48.183973  47.862308  50.325472  46.503815  48.232527  48.603334  43.408399 
#>                                                                              
#>  37.275969  36.784195  35.739671  28.733199  28.774200  28.308578  29.838069 
#>                                                                              
#>  29.432335  28.864925  26.172333  26.607057  27.970463  27.871813  20.122562 
#>                                                                              
#>  20.683214  19.209774  17.912067  18.041473  18.231024  18.072874  18.022326 
#>                                                                              
#>  19.462675  18.699871  18.484810  17.424011  20.638833  20.478328  22.347420 
#>                                                                              
#>  22.455073  22.336174  22.943015  23.000253  22.720484  22.751011  22.677400 
#>                                                                              
#>  22.752484  23.199160  27.781740  28.639975  26.410543  32.833941  31.992902 
#>                                                                              
#>  31.710942  31.305060  31.447170  30.839663  32.141350  33.641949  35.074980 
#>                                                                              
#>  32.990133  32.601616  33.285098  32.264140  30.743540  29.812587  31.142535 
#>                                                                              
#>  29.597545  30.076170  29.615772  29.332073  28.794747  28.498073  28.429451 
#>                                                                              
#>  27.355276  29.284852  27.508315  27.512731  24.486747  21.214065  20.081378 
#>                                                                              
#>  20.484131  12.344219  12.339895  12.317278  12.235972  11.996495  11.996711 
#>                                                                              
#>  11.446055  11.737403  11.742803  11.273260  11.331753  10.510053  11.025543 
#>                                                                              
#>  12.591190  12.528855  12.365380  12.302160  11.154680  11.285764  13.372571 
#>                                                                              
#>  14.487826  15.472311  15.203525  15.930357  15.359974  16.287697  16.276117 
#>                                                                              
#>  17.183609  16.744640  16.700409  16.465722  16.009268  15.222703  15.221935 
#>                                                                              
#>  15.245860  15.235949  15.183499  15.542305  15.417848  15.355008  14.878638 
#>                                                                              
#>  14.884931  13.673076  12.896422  11.467181  11.166014  11.402306  11.383689 
#>                                                                              
#>  11.442972  10.930156   9.631549   8.797207   7.936920   8.355916   7.402663 
#>                                                                              
#>   6.384782   6.389851   6.153388   6.336452   7.516268   7.735689  16.745623 
#>                                                                              
#>  17.796855  18.522896  18.328977  16.882613  17.329445  17.089423  16.246775 
#>                                                                              
#>  15.937203  15.615524  15.869809  16.131771  17.231123  17.028792  17.682699 
#>                                                                              
#>  17.477971  17.566232  17.338764  17.715697  18.406164  18.411884  18.376827 
#>                                                                              
#>  18.239593  18.167567  18.599429  19.382685  19.238323  18.763957  17.870736 
#>                                                                              
#>  17.646129  17.374208  10.244827   9.263816  10.418046  10.413697  10.999638 
#>                                                                              
#>   8.610028   9.304040   9.826024   9.825025  10.622430  10.558499  10.608639 
#>                                                                              
#>  10.384743  10.611179   9.948405  10.491573  10.079384  10.792872  10.640261 
#>                                                                              
#>  10.682997  10.698134  10.622479  10.806979  10.753273  10.789195  10.470025 
#>                                                                              
#>  10.093426  10.449447  10.804983  10.041920  10.190320  10.380948  10.598886 
#>                                                                              
#>   9.529204  10.350936  10.416964  10.167680   9.828154  10.077306  10.005844 
#>                                                                              
#>   9.843564   9.989206   9.395289   9.616720   9.885189   9.985855   9.270158 
#>                                                                              
#>   9.398473   8.835085   8.722171   8.526595   9.281868   9.681922   9.319656 
#>                                                                              
#>   9.483140   9.452155   9.613562   9.616444   9.800754   9.724328   9.225958 
#>                                                                              
#>   9.226099   9.420931   9.666069   9.377112   8.450691   8.595451   8.900352 
#>                                                                              
#>   8.651857   8.929552   9.362667   9.256580   8.840726   8.846433   8.654614 
#>                                                                              
#>   9.023357   8.934096   8.863478   8.839242   9.057048   8.421526   8.447568 
#>                                                                              
#>   7.524243   6.978210   7.000935   6.604836   6.768141   6.818311   7.359079 
#>                                                                              
#>   8.058381   9.335281   9.129534   9.204274   8.871756   9.816386  10.321584 
#>                                                                              
#>  10.542592  10.144192  10.039553  10.533979  10.112474  17.032564  17.536607 
#>                                                                              
#>  18.122287  18.721622  19.184520  18.972031  18.555925  19.770764  20.316516 
#>                                                                              
#>  20.217479  21.583232  20.933515  20.947371  21.094263  20.963354  20.326633 
#>                                                                              
#>  20.124309  20.103689  19.066993  18.898735  18.940067  19.666785  19.721090 
#>                                                                              
#>  19.742547  19.679204  19.552913  19.780840  20.713902  20.704438  20.075782 
#>                                                                              
#>  20.012031  11.037343  10.443627   9.974330   9.259132   9.129499   8.626607 
#>                                                                              
#>   8.841545   8.237478   8.549487   8.145410   8.727093   9.041678   8.695029 
#>                                                                              
#>   8.639749  16.581758  17.046990  16.813349  16.833452  17.995049  18.128792 
#>                                                                              
#>  18.457157  18.585826  19.053215  18.909179  24.427054  33.038967  32.984424 
#>                                                                              
#>  32.954331  32.821835  32.816135  33.489513  40.361150  45.512341  50.839803 
#>                                                                              
#>  55.972456  64.405331  69.569286  69.583921  78.828258  78.970586  93.092328 
#>                                                                              
#>  92.608563 104.601869 120.263763 133.046896 124.862269 118.655217 127.067666 
#>                                                                              
#> 107.551765 103.665572 102.996766 103.635902 116.220456 131.602842 151.923111 
#>                                                                              
#> 155.751608 129.198816 149.536757   3.361623 128.342160  40.485226  81.407360 
#>                                                                              
#> 137.550142 120.364131 133.135781 141.591268 119.678124  97.647961  93.554395 
#>                                                                              
#>  87.023848  85.172700  82.064262  75.783600  60.395159  54.964893  49.477116 
#>                                                                              
#>  50.822855  45.216459  43.771811  42.564321  46.834108  46.869350  44.656974 
#>                                                                              
#>  45.759596  43.586818  44.824632  49.327509  54.384839  61.078795  61.764592 
#>                                                                              
#>  70.338268  65.972552  66.633302  76.358650  74.746877  74.910120  77.036369 
#>                                                                              
#>  74.826684  75.392570  71.757920  62.510252  56.403997  59.376600  57.196892 
#>                                                                              
#>  54.114778  52.467313  48.331632  47.628866  46.524830  47.804809  47.166496 
#>                                                                              
#>  48.112740  43.452694  43.797434  47.343734  47.574225  44.065064  41.053626 
#>                                                                              
#>  40.159994  40.536097  38.809092  39.190241  44.045643  45.066508  46.441180 
#>                                                                              
#>  46.008342  46.718154  46.358795  45.794267  58.729804  59.203994  64.027487 
#>                                                                              
#>  61.762348  54.005686  52.811130  51.102463  44.021265  55.234179  55.333177 
#>                                                                              
#>  55.266439  55.025137  53.846610  47.840903  51.824617  53.247670  54.657818 
#>                                                                              
#>  55.906953  59.307458  61.345033  65.455426  69.750064  90.221233  94.302705 
#>                                             
#> 123.869649 144.058895 165.806351  91.541005 
# \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
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
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#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics used as endpoints
#> Warning: extreme order statistics 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,] 0.05518830 0.13859643
#>    [2,] 0.05586176 0.18189913
#>    [3,] 0.06936713 0.18100994
#>    [4,] 0.08810121 0.18697547
#>    [5,] 0.07376697 0.15526244
#>    [6,] 0.06112433 0.20122537
#>    [7,] 0.09306805 0.14838847
#>    [8,] 0.08470086 0.17784843
#>    [9,] 0.09210266 0.16636492
#>   [10,] 0.09178790 0.16514322
#>   [11,] 0.07780905 0.14910259
#>   [12,] 0.06796299 0.17295379
#>   [13,] 0.09410887 0.14848574
#>   [14,] 0.06627178 0.16564623
#>   [15,] 0.07295252 0.15682562
#>   [16,] 0.11054249 0.18846665
#>   [17,] 0.06140942 0.15150110
#>   [18,] 0.09762698 0.16814566
#>   [19,] 0.09899448 0.17170065
#>   [20,] 0.11337786 0.19446476
#>   [21,] 0.10401016 0.15579951
#>   [22,] 0.09606200 0.15688639
#>   [23,] 0.10264457 0.29574943
#>   [24,] 0.11767293 0.24069724
#>   [25,] 0.10562599 0.18763595
#>   [26,] 0.13322275 0.23367190
#>   [27,] 0.09916656 0.19845581
#>   [28,] 0.08136425 0.19364026
#>   [29,] 0.08767470 0.19427682
#>   [30,] 0.07410237 0.23026677
#>   [31,] 0.12451368 0.21606689
#>   [32,] 0.10535591 0.17688477
#>   [33,] 0.11597727 0.20985111
#>   [34,] 0.09341404 0.16758918
#>   [35,] 0.06858417 0.17051603
#>   [36,] 0.09856873 0.17089019
#>   [37,] 0.10307618 0.19733385
#>   [38,] 0.07281197 0.15342214
#>   [39,] 0.08534359 0.17481840
#>   [40,] 0.09952842 0.16244935
#>   [41,] 0.06489811 0.16715548
#>   [42,] 0.04765031 0.15741216
#>   [43,] 0.09213038 0.19709657
#>   [44,] 0.10384661 0.19879713
#>   [45,] 0.08661701 0.23306902
#>   [46,] 0.07920966 0.18730474
#>   [47,] 0.04881523 0.17216865
#>   [48,] 0.04678446 0.15849597
#>   [49,] 0.03902503 0.24162521
#>   [50,] 0.05613547 0.13049251
#>   [51,] 0.04078517 0.21224693
#>   [52,] 0.07939921 0.18088007
#>   [53,] 0.07721397 0.17736521
#>   [54,] 0.02304894 0.10283583
#>   [55,] 0.04284660 0.11229432
#>   [56,] 0.05283886 0.11903061
#>   [57,] 0.03878103 0.09925798
#>   [58,] 0.03641603 0.13991082
#>   [59,] 0.05299460 0.07867261
#>   [60,] 0.05386216 0.12144240
#>   [61,] 0.04180198 0.09879931
#>   [62,] 0.04159378 0.13166091
#>   [63,] 0.04368652 0.14060134
#>   [64,] 0.05439391 0.10791502
#>   [65,] 0.05122795 0.13240407
#>   [66,] 0.04651994 0.07731153
#>   [67,] 0.04714457 0.11033266
#>   [68,] 0.05739763 0.10106944
#>   [69,] 0.04083912 0.08732769
#>   [70,] 0.06430146 0.14100945
#>   [71,] 0.06295563 0.12337491
#>   [72,] 0.05303492 0.13957846
#>   [73,] 0.05733812 0.13265886
#>   [74,] 0.06269210 0.10392263
#>   [75,] 0.05654852 0.14395035
#>   [76,] 0.05828730 0.10699956
#>   [77,] 0.07073448 0.09997610
#>   [78,] 0.05413346 0.10063654
#>   [79,] 0.06491117 0.10579611
#>   [80,] 0.03564421 0.16026426
#>   [81,] 0.05299396 0.11919895
#>   [82,] 0.05244789 0.13914731
#>   [83,] 0.06350181 0.22625152
#>   [84,] 0.07201091 0.15654041
#>   [85,] 0.06135817 0.16483293
#>   [86,] 0.04647546 0.17448251
#>   [87,] 0.06991418 0.15932670
#>   [88,] 0.05802964 0.15532406
#>   [89,] 0.05873787 0.16086891
#>   [90,] 0.05254043 0.14505027
#>   [91,] 0.05519435 0.16074879
#>   [92,] 0.06709729 0.20653505
#>   [93,] 0.05466180 0.19571238
#>   [94,] 0.06422982 0.21684580
#>   [95,] 0.08018447 0.17802854
#>   [96,] 0.09213000 0.17143552
#>   [97,] 0.11557543 0.18667297
#>   [98,] 0.08344143 0.22319766
#>   [99,] 0.08113322 0.18395753
#>  [100,] 0.05495223 0.17573629
#>  [101,] 0.05409497 0.19006156
#>  [102,] 0.04877677 0.22517488
#>  [103,] 0.07587176 0.12151175
#>  [104,] 0.02477657 0.10381273
#>  [105,] 0.06632281 0.12306592
#>  [106,] 0.04748154 0.11717550
#>  [107,] 0.04148628 0.15591034
#>  [108,] 0.05999969 0.16612891
#>  [109,] 0.06087950 0.19649336
#>  [110,] 0.06885125 0.14564548
#>  [111,] 0.03294832 0.15595029
#>  [112,] 0.02635279 0.11941562
#>  [113,] 0.04391765 0.15333112
#>  [114,] 0.04778393 0.14043131
#>  [115,] 0.07871090 0.16107387
#>  [116,] 0.08185477 0.15918964
#>  [117,] 0.06510402 0.19928402
#>  [118,] 0.08646530 0.13524154
#>  [119,] 0.07678585 0.23387497
#>  [120,] 0.06738334 0.21358671
#>  [121,] 0.10131883 0.17239293
#>  [122,] 0.09782974 0.22056064
#>  [123,] 0.08161917 0.12196002
#>  [124,] 0.06888763 0.21506845
#>  [125,] 0.05574075 0.24466838
#>  [126,] 0.07174377 0.17881644
#>  [127,] 0.09209072 0.21322267
#>  [128,] 0.05601457 0.15390475
#>  [129,] 0.09829779 0.22386632
#>  [130,] 0.07189781 0.20553137
#>  [131,] 0.09074335 0.24166790
#>  [132,] 0.04218303 0.19004164
#>  [133,] 0.08547619 0.22222200
#>  [134,] 0.12090155 0.24862084
#>  [135,] 0.14888237 0.26834212
#>  [136,] 0.10326072 0.26132277
#>  [137,] 0.08551314 0.26069864
#>  [138,] 0.09285905 0.20618500
#>  [139,] 0.10268224 0.21240370
#>  [140,] 0.09771672 0.20024529
#>  [141,] 0.04955498 0.20001335
#>  [142,] 0.13664063 0.22343864
#>  [143,] 0.07484030 0.23613985
#>  [144,] 0.10625520 0.20994164
#>  [145,] 0.05340330 0.20841366
#>  [146,] 0.07867177 0.16781217
#>  [147,] 0.05999366 0.19754754
#>  [148,] 0.02734250 0.13377259
#>  [149,] 0.04370246 0.16808141
#>  [150,] 0.05517280 0.13710181
#>  [151,] 0.08534024 0.18065567
#>  [152,] 0.03475010 0.14119353
#>  [153,] 0.03464624 0.20776309
#>  [154,] 0.05802653 0.20040205
#>  [155,] 0.06936540 0.18676215
#>  [156,] 0.05889184 0.17975376
#>  [157,] 0.03915882 0.10590440
#>  [158,] 0.05829491 0.14581233
#>  [159,] 0.05575397 0.21413332
#>  [160,] 0.04096984 0.11513615
#>  [161,] 0.04658739 0.12160230
#>  [162,] 0.06475855 0.10030151
#>  [163,] 0.04611509 0.08352920
#>  [164,] 0.02305430 0.11936707
#>  [165,] 0.03505183 0.12627464
#>  [166,] 0.03202902 0.12429314
#>  [167,] 0.03967998 0.10514345
#>  [168,] 0.03364057 0.11434769
#>  [169,] 0.04527991 0.12227063
#>  [170,] 0.03932494 0.10421621
#>  [171,] 0.02462366 0.08192759
#>  [172,] 0.02692894 0.12832740
#>  [173,] 0.05241523 0.08834485
#>  [174,] 0.04637407 0.15158185
#>  [175,] 0.03950286 0.13546454
#>  [176,] 0.04807360 0.11363414
#>  [177,] 0.07190734 0.13362115
#>  [178,] 0.07065431 0.18124178
#>  [179,] 0.04634036 0.12065240
#>  [180,] 0.07681371 0.15895691
#>  [181,] 0.07214874 0.14041156
#>  [182,] 0.04562540 0.13946014
#>  [183,] 0.04820410 0.15957074
#>  [184,] 0.05556754 0.14674861
#>  [185,] 0.07001628 0.13817516
#>  [186,] 0.06614511 0.12747346
#>  [187,] 0.04229931 0.14758930
#>  [188,] 0.05164410 0.17473414
#>  [189,] 0.06400352 0.14510559
#>  [190,] 0.06811376 0.13646836
#>  [191,] 0.02901916 0.13904328
#>  [192,] 0.06126685 0.16164115
#>  [193,] 0.03738912 0.13141002
#>  [194,] 0.08022072 0.23338846
#>  [195,] 0.07163634 0.19695306
#>  [196,] 0.06567755 0.12882366
#>  [197,] 0.04882874 0.14941862
#>  [198,] 0.07586187 0.27179935
#>  [199,] 0.04902128 0.24223969
#>  [200,] 0.08908622 0.31024768
#>  [201,] 0.06836856 0.25877951
#>  [202,] 0.03414912 0.26896873
#>  [203,] 0.11873773 0.32267744
#>  [204,] 0.01819463 0.30528198
#>  [205,] 0.10169520 0.34887178
#>  [206,] 0.08653992 0.28409865
#>  [207,] 0.04364220 0.27942833
#>  [208,] 0.07593135 0.25785658
#>  [209,] 0.10696863 0.31868092
#>  [210,] 0.13593135 0.39695910
#>  [211,] 0.11205926 0.29455867
#>  [212,] 0.10772784 0.28906167
#>  [213,] 0.07991414 0.32658705
#>  [214,] 0.07849754 0.31298021
#>  [215,] 0.10708287 0.21363703
#>  [216,] 0.06683704 0.25017840
#>  [217,] 0.06200091 0.22957520
#>  [218,] 0.07026611 0.26059566
#>  [219,] 0.08315965 0.31597112
#>  [220,] 0.05777313 0.29666725
#>  [221,] 0.12534317 0.33880162
#>  [222,] 0.10699231 0.28075918
#>  [223,] 0.13781307 0.31519436
#>  [224,] 0.14250978 0.33268349
#>  [225,] 0.14018745 0.31997987
#>  [226,] 0.13880052 0.36347757
#>  [227,] 0.10586736 0.35362171
#>  [228,] 0.13907118 0.41518282
#>  [229,] 0.07256992 0.22122020
#>  [230,] 0.12375884 0.28829484
#>  [231,] 0.11786406 0.29075956
#>  [232,] 0.12823492 0.26917346
#>  [233,] 0.16267019 0.28866035
#>  [234,] 0.10379203 0.31957347
#>  [235,] 0.09955022 0.32157706
#>  [236,] 0.08827317 0.25204961
#>  [237,] 0.13856948 0.28728452
#>  [238,] 0.13073195 0.32754352
#>  [239,] 0.12502927 0.28319048
#>  [240,] 0.12087422 0.26244798
#>  [241,] 0.09162261 0.24941680
#>  [242,] 0.08617733 0.27757625
#>  [243,] 0.16754467 0.25869011
#>  [244,] 0.08071738 0.19806193
#>  [245,] 0.07336930 0.17348236
#>  [246,] 0.05542205 0.24622478
#>  [247,] 0.06479829 0.18785873
#>  [248,] 0.02634191 0.14633583
#>  [249,] 0.02796231 0.25174175
#>  [250,] 0.02147592 0.09528488
#>  [251,] 0.02320177 0.15720525
#>  [252,] 0.03232134 0.05793500
#>  [253,] 0.02617344 0.11330037
#>  [254,] 0.03132722 0.07369871
#>  [255,] 0.03700670 0.14678033
#>  [256,] 0.03340464 0.11263906
#>  [257,] 0.04405446 0.11788757
#>  [258,] 0.03924881 0.12735794
#>  [259,] 0.04120008 0.09330452
#>  [260,] 0.04992729 0.11306166
#>  [261,] 0.04595256 0.14340233
#>  [262,] 0.03470690 0.15393033
#>  [263,] 0.07106761 0.11476981
#>  [264,] 0.05851028 0.12794312
#>  [265,] 0.05907739 0.27029215
#>  [266,] 0.05736266 0.17803617
#>  [267,] 0.07119122 0.18284924
#>  [268,] 0.06231083 0.17842842
#>  [269,] 0.06470943 0.13317719
#>  [270,] 0.05335040 0.18813385
#>  [271,] 0.05640497 0.19575673
#>  [272,] 0.06199097 0.16746890
#>  [273,] 0.05461037 0.13329364
#>  [274,] 0.06060079 0.19302076
#>  [275,] 0.07183064 0.20950869
#>  [276,] 0.07845800 0.19774396
#>  [277,] 0.10818398 0.22567893
#>  [278,] 0.08683338 0.19652688
#>  [279,] 0.10760152 0.35514655
#>  [280,] 0.10358045 0.20557790
#>  [281,] 0.11463887 0.21179274
#>  [282,] 0.11442069 0.26583801
#>  [283,] 0.13638779 0.27008375
#>  [284,] 0.11212836 0.31303921
#>  [285,] 0.23159741 0.36811984
#>  [286,] 0.15869450 0.32220554
#>  [287,] 0.09156605 0.32998235
#>  [288,] 0.16029642 0.32778543
#>  [289,] 0.17376709 0.31823897
#>  [290,] 0.15911549 0.27780185
#>  [291,] 0.17999065 0.37498823
#>  [292,] 0.15107946 0.25790481
#>  [293,] 0.11392193 0.26780717
#>  [294,] 0.14265603 0.30292758
#>  [295,] 0.17032434 0.29008956
#>  [296,] 0.10534416 0.32807655
#>  [297,] 0.14722091 0.32196913
#>  [298,] 0.15857531 0.35932241
#>  [299,] 0.13278321 0.33699532
#>  [300,] 0.14891802 0.38380501
#>  [301,] 0.15939122 0.32069755
#>  [302,] 0.15076627 0.36662252
#>  [303,] 0.09583930 0.33111723
#>  [304,] 0.13948498 0.35754107
#>  [305,] 0.16376397 0.33172224
#>  [306,] 0.13485461 0.29546575
#>  [307,] 0.12677424 0.28325825
#>  [308,] 0.11917575 0.23739388
#>  [309,] 0.12181389 0.29558077
#>  [310,] 0.09948545 0.23718306
#>  [311,] 0.14341529 0.26320684
#>  [312,] 0.11241310 0.27782128
#>  [313,] 0.13236469 0.29065658
#>  [314,] 0.13381979 0.30898404
#>  [315,] 0.10673166 0.25420220
#>  [316,] 0.09490804 0.21805228
#>  [317,] 0.06731636 0.21809908
#>  [318,] 0.08114385 0.25761214
#>  [319,] 0.07423865 0.23349499
#>  [320,] 0.09635683 0.22502706
#>  [321,] 0.11666603 0.17454994
#>  [322,] 0.09348446 0.21275856
#>  [323,] 0.09072490 0.24440665
#>  [324,] 0.06717769 0.23401963
#>  [325,] 0.07301876 0.23379143
#>  [326,] 0.06419983 0.20808667
#>  [327,] 0.06876700 0.17084487
#>  [328,] 0.08168501 0.19863871
#>  [329,] 0.05709690 0.26598997
#>  [330,] 0.04916510 0.16269775
#>  [331,] 0.06921903 0.19293139
#>  [332,] 0.10586605 0.23227574
#>  [333,] 0.06845976 0.20823350
#>  [334,] 0.06129402 0.16036342
#>  [335,] 0.08654649 0.19338633
#>  [336,] 0.09728213 0.28875510
#>  [337,] 0.11247260 0.25836353
#>  [338,] 0.09583222 0.21972532
#>  [339,] 0.09192198 0.16920266
#>  [340,] 0.03891619 0.18712927
#>  [341,] 0.12287373 0.30692641
#>  [342,] 0.12980120 0.29311142
#>  [343,] 0.11426852 0.25567900
#>  [344,] 0.13663184 0.26265730
#>  [345,] 0.06721056 0.20775978
#>  [346,] 0.06728519 0.19923433
#>  [347,] 0.08342204 0.25194639
#>  [348,] 0.12278055 0.27244511
#>  [349,] 0.11357169 0.23239161
#>  [350,] 0.08870855 0.22292846
#>  [351,] 0.14751393 0.35011337
#>  [352,] 0.11400014 0.31805899
#>  [353,] 0.08843549 0.38846772
#>  [354,] 0.13419312 0.34930066
#>  [355,] 0.08802386 0.30630027
#>  [356,] 0.11934169 0.33719240
#>  [357,] 0.06716873 0.31868411
#>  [358,] 0.08083074 0.35877743
#>  [359,] 0.10917651 0.48912563
#>  [360,] 0.11124289 0.32806542
#>  [361,] 0.08902947 0.33676948
#>  [362,] 0.12652439 0.35091279
#>  [363,] 0.15406560 0.29013271
#>  [364,] 0.10690491 0.36921889
#>  [365,] 0.13793306 0.43327509
#>  [366,] 0.17458976 0.35420524
#>  [367,] 0.15514486 0.46280897
#>  [368,] 0.16608826 0.50418563
#>  [369,] 0.24818250 0.54956112
#>  [370,] 0.16278653 0.39274628
#>  [371,] 0.25402137 0.62921332
#>  [372,] 0.28721822 0.58886072
#>  [373,] 0.18799376 0.71182398
#>  [374,] 0.14934413 0.53402438
#>  [375,] 0.12405742 0.69555738
#>  [376,] 0.18992249 0.61729709
#>  [377,] 0.21976571 0.64638922
#>  [378,] 0.18410919 0.49545407
#>  [379,] 0.09573843 0.45976958
#>  [380,] 0.14586322 0.57145036
#>  [381,] 0.13233819 0.57408233
#>  [382,] 0.17926305 0.40961991
#>  [383,] 0.18683767 0.54994068
#>  [384,] 0.13924164 0.50785908
#>  [385,] 0.13252291 0.46379490
#>  [386,] 0.15770602 0.52007346
#>  [387,] 0.23051996 0.58149322
#>  [388,] 0.19289152 0.45706318
#>  [389,] 0.18335916 0.61841267
#>  [390,] 0.23244690 0.59246160
#>  [391,] 0.22091902 0.49696544
#>  [392,] 0.24633682 0.64926636
#>  [393,] 0.17643222 0.53022182
#>  [394,] 0.20138844 0.58752594
#>  [395,] 0.16851315 0.60210053
#>  [396,] 0.19275495 0.60112082
#>  [397,] 0.28350959 0.63829109
#>  [398,] 0.34089524 0.66658986
#>  [399,] 0.11603885 0.59010628
#>  [400,] 0.19169749 0.60457323
#>  [401,] 0.18318627 0.53133103
#>  [402,] 0.25428316 0.52955243
#>  [403,] 0.20004090 0.46973100
#>  [404,] 0.26902815 0.56405168
#>  [405,] 0.15147127 0.49041773
#>  [406,] 0.06545145 0.52755644
#>  [407,] 0.23758443 0.50681193
#>  [408,] 0.22428249 0.45364351
#>  [409,] 0.30770913 0.45958432
#>  [410,] 0.18815128 0.52955343
#>  [411,] 0.17490373 0.44618692
#>  [412,] 0.21162865 0.55468516
#>  [413,] 0.18290031 0.50656445
#>  [414,] 0.21961535 0.57699516
#>  [415,] 0.21112792 0.52604891
#>  [416,] 0.25701485 0.66553879
#>  [417,] 0.12019276 0.56669446
#>  [418,] 0.19555932 0.47632392
#>  [419,] 0.24076738 0.57453145
#>  [420,] 0.21530050 0.61407935
#>  [421,] 0.23066911 0.48502364
#>  [422,] 0.22442095 0.56046034
#>  [423,] 0.19737497 0.50918858
#>  [424,] 0.10919669 0.65487694
#>  [425,] 0.21654794 0.55268924
#>  [426,] 0.20737059 0.53616854
#>  [427,] 0.21482982 0.36495512
#>  [428,] 0.10947625 0.32987998
#>  [429,] 0.17836338 0.26175872
#>  [430,] 0.14431395 0.31092488
#>  [431,] 0.10956375 0.27224308
#>  [432,] 0.12675033 0.25681598
#>  [433,] 0.14694391 0.34815704
#>  [434,] 0.12372157 0.32808866
#>  [435,] 0.16393541 0.42036500
#>  [436,] 0.16835685 0.41648050
#>  [437,] 0.20030615 0.35373824
#>  [438,] 0.11986370 0.41418882
#>  [439,] 0.18583073 0.37494219
#>  [440,] 0.14193515 0.37661216
#>  [441,] 0.19177051 0.51371303
#>  [442,] 0.23205490 0.45411671
#>  [443,] 0.21415927 0.48326952
#>  [444,] 0.17646976 0.55396866
#>  [445,] 0.11234297 0.46146698
#>  [446,] 0.16891197 0.47931664
#>  [447,] 0.09745270 0.49815102
#>  [448,] 0.15716176 0.26322763
#>  [449,] 0.13881988 0.28648169
#>  [450,] 0.11842493 0.23489351
#>  [451,] 0.15547285 0.26691333
#>  [452,] 0.17990709 0.39233106
#>  [453,] 0.18602560 0.24867712
#>  [454,] 0.20501961 0.29095701
#>  [455,] 0.19430075 0.35714928
#>  [456,] 0.19584677 0.40270037
#>  [457,] 0.12149779 0.30785244
#>  [458,] 0.18389114 0.31420611
#>  [459,] 0.16166412 0.35524694
#>  [460,] 0.11236295 0.28852788
#>  [461,] 0.18731219 0.27895134
#>  [462,] 0.18631473 0.36899729
#>  [463,] 0.13646182 0.27512198
#>  [464,] 0.12709539 0.30948074
#>  [465,] 0.11768758 0.29847074
#>  [466,] 0.11257004 0.24885844
#>  [467,] 0.15010421 0.29792757
#>  [468,] 0.15174888 0.33216714
#>  [469,] 0.12016066 0.37286331
#>  [470,] 0.19161549 0.32856413
#>  [471,] 0.10465622 0.39423876
#>  [472,] 0.12282094 0.25040724
#>  [473,] 0.15371889 0.27682600
#>  [474,] 0.11150849 0.26588175
#>  [475,] 0.11044345 0.36696612
#>  [476,] 0.11626922 0.31990328
#>  [477,] 0.09866616 0.27274755
#>  [478,] 0.09504226 0.29926612
#>  [479,] 0.12590997 0.23608208
#>  [480,] 0.08530639 0.28429803
#>  [481,] 0.13969445 0.32803413
#>  [482,] 0.15072676 0.26989843
#>  [483,] 0.12083438 0.31716514
#>  [484,] 0.11624290 0.47075772
#>  [485,] 0.11061837 0.27577723
#>  [486,] 0.10118759 0.58803183
#>  [487,] 0.21290247 0.48066539
#>  [488,] 0.12250433 0.65433658
#>  [489,] 0.07525761 0.64158712
#>  [490,] 0.15689993 0.49374529
#>  [491,] 0.16964402 0.46130801
#>  [492,] 0.15489069 0.41382357
#>  [493,] 0.12169838 0.46031398
#>  [494,] 0.19935272 0.56876374
#>  [495,] 0.23079232 0.45547310
#>  [496,] 0.21132104 0.52445253
#>  [497,] 0.20354996 0.53998551
#>  [498,] 0.15369128 0.53590620
#>  [499,] 0.15851703 0.62368732
#>  [500,] 0.20434739 0.45698743
#>  [501,] 0.17794683 0.46086881
#>  [502,] 0.10283841 0.62521129
#>  [503,] 0.21936762 0.45200245
#>  [504,] 0.13951569 0.45423039
#>  [505,] 0.17847389 0.49478078
#>  [506,] 0.19679136 0.57615487
#>  [507,] 0.17349936 0.68587684
#>  [508,] 0.08286287 0.39189403
#>  [509,] 0.18866543 0.56164241
#>  [510,] 0.20990409 0.61086785
#>  [511,] 0.23550756 0.75805716
#>  [512,] 0.21667795 0.75882708
#>  [513,] 0.19250972 0.62521782
#>  [514,] 0.23973981 0.60528588
#>  [515,] 0.14966215 0.51270198
#>  [516,] 0.20919739 0.47489135
#>  [517,] 0.22319735 0.43847858
#>  [518,] 0.17009024 0.32257333
#>  [519,] 0.12707289 0.33009893
#>  [520,] 0.08035622 0.40473196
#>  [521,] 0.14116348 0.38594702
#>  [522,] 0.09547340 0.34481974
#>  [523,] 0.13802545 0.40047895
#>  [524,] 0.14050366 0.48370852
#>  [525,] 0.16688370 0.33116957
#>  [526,] 0.14274821 0.43927265
#>  [527,] 0.13526480 0.31260970
#>  [528,] 0.09132518 0.58259666
#>  [529,] 0.21160710 0.51997880
#>  [530,] 0.10467781 0.77426870
#>  [531,] 0.20792146 0.45080514
#>  [532,] 0.31618959 0.75993568
#>  [533,] 0.25002166 0.74923533
#>  [534,] 0.19448566 0.69161376
#>  [535,] 0.07868957 0.58587264
#>  [536,] 0.17109736 0.54805402
#>  [537,] 0.15776427 0.57890755
#>  [538,] 0.06569004 0.68499874
#>  [539,] 0.20764058 0.61004822
#>  [540,] 0.11290156 0.29331452
#>  [541,] 0.07916198 0.50701488
#>  [542,] 0.08956130 0.87543398
#>  [543,] 0.09942599 0.46977763
#>  [544,] 0.10116310 0.70161249
#>  [545,] 0.14852479 0.46115476
#>  [546,] 0.13660674 0.43264997
#>  [547,] 0.10892521 0.53239518
#>  [548,] 0.11522633 0.50843927
#>  [549,] 0.10041167 0.44410377
#>  [550,] 0.06208030 0.57918549
#>  [551,] 0.07252703 0.43726763
#>  [552,] 0.08395890 0.40822570
#>  [553,] 0.05814732 0.35446067
#>  [554,] 0.09328128 0.34941622
#>  [555,] 0.05755737 0.56998089
#>  [556,] 0.06831613 0.43674128
#>  [557,] 0.13535856 0.60097696
#>  [558,] 0.11224206 0.39366124
#>  [559,] 0.08102656 0.23939869
#>  [560,] 0.06670854 0.20632863
#>  [561,] 0.10719644 0.32284541
#>  [562,] 0.11028293 0.35667070
#>  [563,] 0.11294032 0.34122860
#>  [564,] 0.12451153 0.26854882
#>  [565,] 0.10740257 0.27151363
#>  [566,] 0.19869432 0.35880353
#>  [567,] 0.17754307 0.39625323
#>  [568,] 0.18087786 0.39295561
#>  [569,] 0.27061906 0.43834301
#>  [570,] 0.12106442 0.59607773
#>  [571,] 0.20688846 0.43719278
#>  [572,] 0.19080728 0.42424506
#>  [573,] 0.17151358 0.41233567
#>  [574,] 0.14236384 0.43539967
#>  [575,] 0.19720785 0.47592991
#>  [576,] 0.17643610 0.36896468
#>  [577,] 0.15335897 0.41701452
#>  [578,] 0.17795764 0.38530360
#>  [579,] 0.22033079 0.37299883
#>  [580,] 0.17618483 0.40113942
#>  [581,] 0.17818336 0.39507699
#>  [582,] 0.18701923 0.31672366
#>  [583,] 0.17200624 0.41558911
#>  [584,] 0.17595393 0.39655954
#>  [585,] 0.12705263 0.37136080
#>  [586,] 0.20311758 0.38079369
#>  [587,] 0.14184810 0.29961774
#>  [588,] 0.10849044 0.25892692
#>  [589,] 0.12761264 0.36871301
#>  [590,] 0.16064671 0.25338767
#>  [591,] 0.15849446 0.31555248
#>  [592,] 0.11272002 0.30469141
#>  [593,] 0.11966162 0.33215024
#>  [594,] 0.18896273 0.31058220
#>  [595,] 0.12663126 0.29530456
#>  [596,] 0.14696288 0.27097084
#>  [597,] 0.11229933 0.28157054
#>  [598,] 0.15828900 0.32765575
#>  [599,] 0.19080866 0.46217267
#>  [600,] 0.18526569 0.45980546
#>  [601,] 0.10376143 0.35882016
#>  [602,] 0.18705574 0.49348807
#>  [603,] 0.17362542 0.37288567
#>  [604,] 0.23227247 0.51379716
#>  [605,] 0.24343027 0.39688115
#>  [606,] 0.19397571 0.48563184
#>  [607,] 0.18707636 0.47962880
#>  [608,] 0.18895594 0.51457592
#>  [609,] 0.16758631 0.46513884
#>  [610,] 0.20764951 0.49508202
#>  [611,] 0.18638793 0.36332188
#>  [612,] 0.21851429 0.50945781
#>  [613,] 0.21419039 0.44821806
#>  [614,] 0.21110030 0.56709530
#>  [615,] 0.13944359 0.51512438
#>  [616,] 0.14599318 0.29809244
#>  [617,] 0.18404320 0.35657797
#>  [618,] 0.12192432 0.42156095
#>  [619,] 0.12966595 0.40344180
#>  [620,] 0.16792245 0.42229608
#>  [621,] 0.18426306 0.34741206
#>  [622,] 0.23919474 0.45116142
#>  [623,] 0.16636567 0.36403524
#>  [624,] 0.17834644 0.48021385
#>  [625,] 0.14258440 0.50598552
#>  [626,] 0.18295211 0.41592818
#>  [627,] 0.12721372 0.44841653
#>  [628,] 0.10711504 0.40412727
#>  [629,] 0.13310322 0.38631442
#>  [630,] 0.14504066 0.40132823
#>  [631,] 0.11827453 0.22628620
#>  [632,] 0.10691076 0.20519986
#>  [633,] 0.11813452 0.21495605
#>  [634,] 0.11678540 0.22139595
#>  [635,] 0.09830172 0.23610353
#>  [636,] 0.07428851 0.21949012
#>  [637,] 0.10096784 0.18737401
#>  [638,] 0.11797734 0.21227305
#>  [639,] 0.12513889 0.21125587
#>  [640,] 0.11331297 0.24163168
#>  [641,] 0.10787942 0.20225867
#>  [642,] 0.13012836 0.22936059
#>  [643,] 0.10216552 0.20740320
#>  [644,] 0.10658134 0.16155731
#>  [645,] 0.10929491 0.21354294
#>  [646,] 0.10674085 0.18231056
#>  [647,] 0.07691014 0.18868559
#>  [648,] 0.08118151 0.19647477
#>  [649,] 0.08926552 0.16490506
#>  [650,] 0.09788082 0.17924266
#>  [651,] 0.09846733 0.16665544
#>  [652,] 0.08516483 0.16593133
#>  [653,] 0.09523412 0.21661398
#>  [654,] 0.08094925 0.16534818
#>  [655,] 0.08336164 0.15431519
#>  [656,] 0.10650863 0.17413171
#>  [657,] 0.09461714 0.18217201
#>  [658,] 0.11622707 0.17245007
#>  [659,] 0.10814799 0.19296033
#>  [660,] 0.10260175 0.20432936
#>  [661,] 0.12481294 0.27392401
#>  [662,] 0.11545325 0.19734525
#>  [663,] 0.11995443 0.24388428
#>  [664,] 0.15473005 0.28057833
#>  [665,] 0.12847944 0.26810967
#>  [666,] 0.11270623 0.25511109
#>  [667,] 0.10505982 0.22619818
#>  [668,] 0.14017033 0.27628633
#>  [669,] 0.16825525 0.26503169
#>  [670,] 0.12894812 0.26894525
#>  [671,] 0.14411321 0.25576432
#>  [672,] 0.12109652 0.24461709
#>  [673,] 0.12401103 0.25295208
#>  [674,] 0.12784375 0.23921773
#>  [675,] 0.13501854 0.27542306
#>  [676,] 0.10727047 0.18521853
#>  [677,] 0.13339105 0.24760046
#>  [678,] 0.14460228 0.23984238
#>  [679,] 0.17422885 0.26705166
#>  [680,] 0.12904022 0.34994524
#>  [681,] 0.10334355 0.29396937
#>  [682,] 0.16479819 0.30783303
#>  [683,] 0.14337749 0.26953775
#>  [684,] 0.12414942 0.23679329
#>  [685,] 0.19928132 0.27479894
#>  [686,] 0.12739777 0.26548288
#>  [687,] 0.08362439 0.24940912
#>  [688,] 0.13877646 0.28967044
#>  [689,] 0.13445269 0.26518276
#>  [690,] 0.14248547 0.23836831
#>  [691,] 0.13973297 0.24151214
#>  [692,] 0.16159133 0.24646022
#>  [693,] 0.04041957 0.22597843
#>  [694,] 0.10134468 0.23749716
#>  [695,] 0.05683709 0.35171509
#>  [696,] 0.11669684 0.29490688
#>  [697,] 0.08818711 0.26755951
#>  [698,] 0.10601502 0.27877383
#>  [699,] 0.13507802 0.23153602
#>  [700,] 0.04714186 0.24634081
#>  [701,] 0.05467989 0.19920662
#>  [702,] 0.07191719 0.23174489
#>  [703,] 0.08230995 0.18006186
#>  [704,] 0.03425491 0.24488385
#>  [705,] 0.06069935 0.20875209
#>  [706,] 0.08351902 0.29817921
#>  [707,] 0.05455189 0.20792281
#>  [708,] 0.05244044 0.20308478
#>  [709,] 0.06538231 0.14106295
#>  [710,] 0.03316603 0.16320101
#>  [711,] 0.02234089 0.16088037
#>  [712,] 0.03625553 0.18705883
#>  [713,] 0.02059257 0.17159190
#>  [714,] 0.02046135 0.15706055
#>  [715,] 0.01061360 0.22528550
#>  [716,] 0.04034739 0.20038274
#>  [717,] 0.05490542 0.14953008
#>  [718,] 0.05016930 0.17959266
#>  [719,] 0.05267558 0.15656667
#>  [720,] 0.03460469 0.16934365
#>  [721,] 0.04476230 0.33262662
#>  [722,] 0.03219550 0.18829466
#>  [723,] 0.06498525 0.19838807
#>  [724,] 0.03354964 0.29051207
#>  [725,] 0.05834332 0.27541578
#>  [726,] 0.06995455 0.21910847
#>  [727,] 0.04272974 0.28435727
#>  [728,] 0.05629884 0.23333573
#>  [729,] 0.12579222 0.23764333
#>  [730,] 0.13026246 0.27813530
#>  [731,] 0.10908446 0.23659715
#>  [732,] 0.04089446 0.23492799
#>  [733,] 0.06853443 0.22652646
#>  [734,] 0.06493439 0.22362109
#>  [735,] 0.09753878 0.32068850
#>  [736,] 0.09369878 0.18226374
#>  [737,] 0.09805209 0.20414092
#>  [738,] 0.07624793 0.22029012
#>  [739,] 0.08094759 0.20018118
#>  [740,] 0.09313849 0.22779225
#>  [741,] 0.07489703 0.20610257
#>  [742,] 0.09753250 0.25815426
#>  [743,] 0.07909386 0.26658354
#>  [744,] 0.04352782 0.18188624
#>  [745,] 0.06257895 0.16800231
#>  [746,] 0.04431979 0.19204383
#>  [747,] 0.03719105 0.16769537
#>  [748,] 0.04194307 0.10553440
#>  [749,] 0.04478153 0.19134307
#>  [750,] 0.04146224 0.15595721
#>  [751,] 0.04734662 0.15232744
#>  [752,] 0.02842118 0.07642548
#>  [753,] 0.01785418 0.10123752
#>  [754,] 0.01914444 0.08148813
#>  [755,] 0.01378036 0.07474148
#>  [756,] 0.02560777 0.08114251
#>  [757,] 0.01577269 0.08448542
#>  [758,] 0.01414056 0.07502274
#>  [759,] 0.01526650 0.05412313
#>  [760,] 0.01867988 0.05530277
#>  [761,] 0.01580653 0.06297920
#>  [762,] 0.01394966 0.06858382
#>  [763,] 0.02879958 0.07947031
#>  [764,] 0.03531131 0.07358669
#>  [765,] 0.02868101 0.08357191
#>  [766,] 0.02061672 0.08064919
#>  [767,] 0.03802450 0.08725895
#>  [768,] 0.03936448 0.19696058
#>  [769,] 0.05778328 0.21686457
#>  [770,] 0.02883626 0.27287435
#>  [771,] 0.04055558 0.25604513
#>  [772,] 0.03750821 0.26256570
#>  [773,] 0.03269602 0.27802534
#>  [774,] 0.04997654 0.23585083
#>  [775,] 0.06945806 0.25691785
#>  [776,] 0.05281870 0.20762655
#>  [777,] 0.03556846 0.30658457
#>  [778,] 0.04564117 0.22129135
#>  [779,] 0.04942603 0.29350900
#>  [780,] 0.04564005 0.23982203
#>  [781,] 0.05738445 0.18421765
#>  [782,] 0.05026303 0.29009362
#>  [783,] 0.05997979 0.35919697
#>  [784,] 0.05642090 0.32739112
#>  [785,] 0.05326207 0.26871846
#>  [786,] 0.02874883 0.32911204
#>  [787,] 0.04057415 0.27379811
#>  [788,] 0.02002339 0.32780664
#>  [789,] 0.04309264 0.30707567
#>  [790,] 0.03092187 0.32220886
#>  [791,] 0.03458622 0.32022230
#>  [792,] 0.02711246 0.27433123
#>  [793,] 0.02988155 0.23884504
#>  [794,] 0.03017798 0.24046154
#>  [795,] 0.02407304 0.31704128
#>  [796,] 0.07682301 0.38511670
#>  [797,] 0.02354864 0.26750074
#>  [798,] 0.03516873 0.19625895
#>  [799,] 0.03095712 0.10861198
#>  [800,] 0.02549731 0.09446303
#>  [801,] 0.03109450 0.16119259
#>  [802,] 0.04294280 0.16883140
#>  [803,] 0.03019160 0.10727753
#>  [804,] 0.02834550 0.13727781
#>  [805,] 0.03974545 0.12407193
#>  [806,] 0.02910164 0.13438510
#>  [807,] 0.02632415 0.13174789
#>  [808,] 0.02030990 0.11572086
#>  [809,] 0.02945131 0.14749691
#>  [810,] 0.04003596 0.16146574
#>  [811,] 0.02700466 0.17920521
#>  [812,] 0.02110924 0.13931074
#>  [813,] 0.02866322 0.13910070
#>  [814,] 0.05353041 0.14345128
#>  [815,] 0.02304554 0.08797840
#>  [816,] 0.02294763 0.14872089
#>  [817,] 0.05995781 0.14943895
#>  [818,] 0.02293366 0.17339097
#>  [819,] 0.02804788 0.14545711
#>  [820,] 0.03991421 0.18059053
#>  [821,] 0.02316422 0.11639489
#>  [822,] 0.01572438 0.14457295
#>  [823,] 0.04804541 0.10178613
#>  [824,] 0.02450174 0.14009363
#>  [825,] 0.02455926 0.15860589
#>  [826,] 0.05426725 0.12902815
#>  [827,] 0.03763828 0.07819353
#>  [828,] 0.02740949 0.07842679
#>  [829,] 0.02439132 0.06986604
#>  [830,] 0.04031461 0.09188071
#>  [831,] 0.04174061 0.09283769
#>  [832,] 0.03479660 0.10683532
#>  [833,] 0.05103562 0.09266711
#>  [834,] 0.04732513 0.07740290
#>  [835,] 0.04822709 0.10422855
#>  [836,] 0.03452395 0.11440529
#>  [837,] 0.02800824 0.09720001
#>  [838,] 0.02711838 0.11220771
#>  [839,] 0.05299681 0.11210379
#>  [840,] 0.03311160 0.10371248
#>  [841,] 0.02979092 0.10396682
#>  [842,] 0.05161694 0.11737116
#>  [843,] 0.06327827 0.10185921
#>  [844,] 0.05501347 0.10035621
#>  [845,] 0.07404365 0.10822575
#>  [846,] 0.06334691 0.11207992
#>  [847,] 0.04504378 0.13073930
#>  [848,] 0.06555439 0.10982801
#>  [849,] 0.06080461 0.11464250
#>  [850,] 0.08017402 0.13806921
#>  [851,] 0.06891776 0.11395646
#>  [852,] 0.05229845 0.12359360
#>  [853,] 0.06592642 0.12558492
#>  [854,] 0.05251337 0.10154714
#>  [855,] 0.06887477 0.10364408
#>  [856,] 0.05922654 0.11549632
#>  [857,] 0.03992860 0.11080213
#>  [858,] 0.05345705 0.12873727
#>  [859,] 0.05230778 0.10529121
#>  [860,] 0.05223640 0.09960047
#>  [861,] 0.05472469 0.08684772
#>  [862,] 0.04329704 0.10217034
#>  [863,] 0.05431226 0.11162823
#>  [864,] 0.05497406 0.09914164
#>  [865,] 0.03565136 0.09267912
#>  [866,] 0.04879631 0.11314785
#>  [867,] 0.02339139 0.11099004
#>  [868,] 0.04082694 0.09912975
#>  [869,] 0.04399226 0.12863456
#>  [870,] 0.03841661 0.10645444
#>  [871,] 0.05360367 0.13700069
#>  [872,] 0.02384854 0.14092072
#>  [873,] 0.03544990 0.13000170
#>  [874,] 0.02917248 0.13075446
#>  [875,] 0.03071231 0.11384089
#>  [876,] 0.03300868 0.07804294
#>  [877,] 0.01826453 0.08920716
#>  [878,] 0.02476893 0.07391237
#>  [879,] 0.02030216 0.08660343
#>  [880,] 0.01421460 0.06393307
#>  [881,] 0.02639285 0.07276720
#>  [882,] 0.03096707 0.08177649
#>  [883,] 0.02732253 0.06540464
#>  [884,] 0.03210321 0.18294820
#>  [885,] 0.03146839 0.12515546
#>  [886,] 0.02132379 0.19487286
#>  [887,] 0.03200060 0.14073909
#>  [888,] 0.02083679 0.15167226
#>  [889,] 0.06703095 0.17311650
#>  [890,] 0.03088562 0.12888972
#>  [891,] 0.04932316 0.16266783
#>  [892,] 0.01382801 0.16241239
#>  [893,] 0.05876777 0.12428001
#>  [894,] 0.03594927 0.12165819
#>  [895,] 0.07609032 0.19543368
#>  [896,] 0.06275662 0.19116162
#>  [897,] 0.03387540 0.17882808
#>  [898,] 0.06273588 0.17552439
#>  [899,] 0.06545276 0.16857487
#>  [900,] 0.06488510 0.14635469
#>  [901,] 0.05880509 0.13460621
#>  [902,] 0.04525074 0.13759377
#>  [903,] 0.08969649 0.17541665
#>  [904,] 0.08531231 0.19200005
#>  [905,] 0.05444733 0.17028221
#>  [906,] 0.08525059 0.13917040
#>  [907,] 0.07012076 0.15838693
#>  [908,] 0.05355543 0.14098072
#>  [909,] 0.06866041 0.14587586
#>  [910,] 0.08561990 0.18436660
#>  [911,] 0.08274721 0.13269686
#>  [912,] 0.05533325 0.15752320
#>  [913,] 0.08060444 0.15138718
#>  [914,] 0.04906904 0.13381297
#>  [915,] 0.06451050 0.10629110
#>  [916,] 0.05380942 0.13133041
#>  [917,] 0.05388373 0.15931273
#>  [918,] 0.04099092 0.09450227
#>  [919,] 0.05708992 0.11073136
#>  [920,] 0.04685078 0.11440553
#>  [921,] 0.05282345 0.12677369
#>  [922,] 0.03501322 0.15693315
#>  [923,] 0.05680705 0.14423660
#>  [924,] 0.06320213 0.10886554
#>  [925,] 0.04320736 0.13288691
#>  [926,] 0.05588441 0.09403531
#>  [927,] 0.03995798 0.08298749
#>  [928,] 0.04994583 0.09872400
#>  [929,] 0.03651636 0.10121900
#>  [930,] 0.04160765 0.10440922
#>  [931,] 0.04343707 0.11423236
#>  [932,] 0.04544992 0.08558189
#>  [933,] 0.04072977 0.09360941
#>  [934,] 0.04178235 0.07979897
#>  [935,] 0.02810010 0.10325368
#>  [936,] 0.04195813 0.07396993
#>  [937,] 0.04642584 0.11104598
#>  [938,] 0.04551331 0.11619738
#>  [939,] 0.03746684 0.07482360
#>  [940,] 0.04927149 0.33165776
#>  [941,] 0.03228314 0.45743018
#>  [942,] 0.05398637 0.33660565
#>  [943,] 0.05413145 0.44160156
#>  [944,] 0.06196896 0.49292991
#>  [945,] 0.06448470 0.38959748
#>  [946,] 0.03957038 0.47044918
#>  [947,] 0.07139250 0.39622225
#>  [948,] 0.04257090 0.51581174
#>  [949,] 0.04278760 0.41996401
#>  [950,] 0.05318299 0.39948063
#>  [951,] 0.10841319 0.57030079
#>  [952,] 0.05366826 0.61134151
#>  [953,] 0.07941603 0.47012167
#>  [954,] 0.26252531 0.55248219
#>  [955,] 0.06301497 0.52502096
#>  [956,] 0.04280023 0.63281244
#>  [957,] 0.21057548 0.69301599
#>  [958,] 0.27446630 0.64798159
#>  [959,] 0.10428999 0.69185722
#>  [960,] 0.33829508 0.61955829
#>  [961,] 0.35990596 0.63388877
#>  [962,] 0.26244111 0.71653683
#>  [963,] 0.21994845 0.67580170
#>  [964,] 0.41199275 0.69465797
#>  [965,] 0.47198236 0.71118119
#>  [966,] 0.43299646 0.67251525
#>  [967,] 0.10779860 0.72993632
#>  [968,] 0.38097394 0.69468688
#>  [969,] 0.35281182 0.73043217
#>  [970,] 0.27743655 0.73899348
#>  [971,] 0.34121251 0.77171660
#>  [972,] 0.37117663 0.81906987
#>  [973,] 0.33693550 0.59564859
#>  [974,] 0.25679029 0.69767986
#>  [975,] 0.32331772 0.80938918
#>  [976,] 0.24707957 0.72030139
#>  [977,] 0.35053692 0.71815814
#>  [978,] 0.32139878 0.72433465
#>  [979,] 0.21319353 0.65970100
#>  [980,] 0.29649559 0.74813935
#>  [981,] 0.31155957 0.84078099
#>  [982,] 0.45986362 0.93961277
#>  [983,] 0.42313845 0.84560443
#>  [984,] 0.52642291 0.92508048
#>  [985,] 0.48617882 0.95181109
#>  [986,] 0.38209398 0.98151492
#>  [987,] 0.37255214 0.96908180
#>  [988,] 0.53635270 0.96871584
#>  [989,] 0.52673936 0.91533946
#>  [990,] 0.70195874 0.88327488
#>  [991,] 0.59454166 0.95432686
#>  [992,] 0.52874240 0.90423728
#>  [993,] 0.45368227 0.99220456
#>  [994,] 0.48935514 0.83660687
#>  [995,] 0.65084986 0.92657309
#>  [996,] 0.26950071 0.91978982
#>  [997,] 0.41947179 0.92379117
#>  [998,] 0.38925657 0.93631446
#>  [999,] 0.34672587 0.87037733
#> [1000,] 0.35888158 0.82776558
#> [1001,] 0.26503251 0.80216957
#> [1002,] 0.27863484 0.78344472
#> [1003,] 0.32663527 0.68366814
#> [1004,] 0.33300513 0.70234767
#> [1005,] 0.20253834 0.62644153
#> [1006,] 0.28637803 0.89377798
#> [1007,] 0.31135083 0.73424452
#> [1008,] 0.28318085 0.67050385
#> [1009,] 0.29340574 0.72166421
#> [1010,] 0.26368759 0.94977891
#> [1011,] 0.20566040 0.72909569
#> [1012,] 0.42792873 0.63694076
#> [1013,] 0.45140983 0.76202059
#> [1014,] 0.17056031 0.85898970
#> [1015,] 0.36652064 0.62757776
#> [1016,] 0.34668827 0.77566670
#> [1017,] 0.30401354 0.79432918
#> [1018,] 0.31790546 0.80106969
#> [1019,] 0.48919717 0.83126922
#> [1020,] 0.57611566 0.82452818
#> [1021,] 0.51354186 0.78745908
#> [1022,] 0.53440250 0.75803057
#> [1023,] 0.53424604 0.79480510
#> [1024,] 0.36309043 0.72890740
#> [1025,] 0.31091541 0.64826298
#> [1026,] 0.27783206 0.63346945
#> [1027,] 0.34359067 0.61915783
#> [1028,] 0.37471442 0.60946267
#> [1029,] 0.29297228 0.62876226
#> [1030,] 0.31354073 0.52961466
#> [1031,] 0.25509239 0.63402548
#> [1032,] 0.23194081 0.43725289
#> [1033,] 0.21483851 0.41837603
#> [1034,] 0.24749008 0.47330429
#> [1035,] 0.21216406 0.52420048
#> [1036,] 0.24854596 0.43408389
#> [1037,] 0.25655543 0.51846923
#> [1038,] 0.25195716 0.56050584
#> [1039,] 0.12233169 0.38634625
#> [1040,] 0.18746694 0.48908607
#> [1041,] 0.20795737 0.48586983
#> [1042,] 0.22640496 0.43136726
#> [1043,] 0.17124376 0.39600583
#> [1044,] 0.17733815 0.45866255
#> [1045,] 0.14150917 0.43460727
#> [1046,] 0.12186242 0.42033657
#> [1047,] 0.12311786 0.52196023
#> [1048,] 0.20825829 0.50278736
#> [1049,] 0.16926710 0.44241545
#> [1050,] 0.22831784 0.42957175
#> [1051,] 0.21471205 0.38348424
#> [1052,] 0.24856910 0.44500975
#> [1053,] 0.21295952 0.43187506
#> [1054,] 0.26921971 0.49771632
#> [1055,] 0.22939870 0.89175285
#> [1056,] 0.38367294 0.91764380
#> [1057,] 0.24057010 0.76541076
#> [1058,] 0.16233703 0.75194161
#> [1059,] 0.14984828 0.60932704
#> [1060,] 0.22919943 0.75428918
#> [1061,] 0.13458335 0.75361479
#> [1062,] 0.09885144 0.58363613
#> [1063,] 0.22887541 0.90644349
#> [1064,] 0.12319182 0.71308387
#> [1065,] 0.27316649 0.93254202
#> [1066,] 0.09413085 0.84847441
#> [1067,] 0.14756358 0.67342578
#> [1068,] 0.08608674 0.80454773
#> [1069,] 0.16818322 0.82521136
#> [1070,] 0.20273860 0.84272413
#> [1071,] 0.11918055 0.87404750
#> [1072,] 0.07257289 0.80210222
#> [1073,] 0.11892767 0.83556307
#> [1074,] 0.13250664 0.67455326
#> [1075,] 0.08098200 0.81140733
#> [1076,] 0.09340559 0.81844144
#> [1077,] 0.06029774 0.62623852
#> [1078,] 0.16671587 0.90588788
#> [1079,] 0.20578486 0.84023275
#> [1080,] 0.08982589 0.93330914
#> [1081,] 0.13429203 0.77288937
#> [1082,] 0.15587547 0.74165711
# }