persistence.prob: Estimates carcass persistence probability based on carcass...

Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/persistence.prob.r

Description

This function either uses a Cox proportional hazard model or an exponential model (if persistence probability can assumed to be constant over time) to estimate daily persistence probabilities of carcasses.

Usage

1
persistence.prob(turbineID, perstime, status, pers.const = FALSE, R = 10000)

Arguments

turbineID

factor, character or numeric vector with name of the turbines or sites for which the carcass persistence probability should be estimated separatedly

perstime

numeric vector with the persistence times for each object (e.g. in days)

status

indicator variable of observed removal (1= removal has been observed, 0 = object was still there at the end of the observation period)

pers.const

logical value indicating whether a constant persistenc probability over time can be assumed. default is FALSE. If FALSE, a Cox proportional hazard model is used and for each turbine/site the estimated proportion of remaining objects is given for each day. If TRUE, an exponential model is fitted and the estimated daily persistence probability is give for each turbine/site.

R

number of Monte Carlo simulations used to obtain the 95 percent confidence intervals of the estimated persistence probabilities from the exponential model

Details

Note that there is increasing evidence in the literature that carcass persistence probability increases with the age of a carcass. Thus you are saver to use non-constant persistence probabilities unless you have tested, how seriously an assumption of constant persistence probability influences your results.

Value

If you do not assume constant persistence probability, the function returns a list:

persistence.prob

matrix with estimated proportion of remaining carcasses after each time indicated on the rows for each turbine/site indicated on the column

estpers.lwr

the lower limits of the 95 percent confidence intervals

estpers.upr

the upper limits of the 95 percent confidence intervals

If you assume constant persistence probability, the function returns a data frame with the following variables:
turbineID: name of the turbine/site
persistence.prob: estimated daily persistence probability
lower: lower limit of the 95 percent confidence interval of the estimated persistence probability
upper: upper limit of the 95 percent confidence interval of the estimated persistence probability
mean.persistence.time: estimated mean persistence time

Note

Whether the models used in this function fits to your data is not in the responsibility of the author!

Author(s)

Fraenzi Korner-Nievergelt

References

Cox, D. R. 1972. Regression models and life-tables (with discussion). Journal of the Royal Statistical Society B 34:187-220.
Klein, J. P. and M. L. Moeschberber. 2003. Survival Analysis, Techiques for Censored and Truncated Data. Springer, New York.

See Also

coxph survreg

Examples

1
2
3
4
data(persistence)
persistence.prob(persistence$turbineID, persistence$perstime, persistence$status)
persistence.prob(persistence$turbineID, persistence$perstime, persistence$status, 
    pers.const=TRUE)

Example output

Loading required package: lme4
Loading required package: Matrix
Loading required package: survival
$time
 [1]  1  2  3  4  5  6  7  8  9 10 11 12 13 14

$persistence.prob
            1           2          3         4          5            6
1  0.76865162 0.636794571 0.79649114 0.8182050 0.72845871 0.4678857029
2  0.58393492 0.397429586 0.62799493 0.6634975 0.52320915 0.2116279535
3  0.47539667 0.279302923 0.52568297 0.5672004 0.40844881 0.1168880432
4  0.36678317 0.179002832 0.42005777 0.4654112 0.29888060 0.0552836879
5  0.28594559 0.116788059 0.33869095 0.3849324 0.22146307 0.0269447250
6  0.22125794 0.075222509 0.27131901 0.3165537 0.16262273 0.0128512151
7  0.19122149 0.058568869 0.23915847 0.2832240 0.13642242 0.0084341054
8  0.16330202 0.044678214 0.20864555 0.2511079 0.11281045 0.0053477648
9  0.13298724 0.031414377 0.17469742 0.2147110 0.08809763 0.0029562092
10 0.12482560 0.028180502 0.16538630 0.2045875 0.08162880 0.0024622595
11 0.10244159 0.020078658 0.13940475 0.1759668 0.06434239 0.0013918077
12 0.08000630 0.013140158 0.11257485 0.1457366 0.04777851 0.0006818516
13 0.07153021 0.010843779 0.10218401 0.1338079 0.04175137 0.0004935122
14 0.06058840 0.008156657 0.08851811 0.1178966 0.03418644 0.0003056114
           7          8          9        10         11         12         13
1  0.9116127 0.70197238 0.80444436 0.8661515 0.79046956 0.79006426 0.80342284
2  0.8276160 0.48505208 0.64088286 0.7454274 0.61832613 0.61767811 0.63922002
3  0.7698721 0.36785738 0.54065331 0.6662416 0.51452861 0.51378339 0.53871528
4  0.7027486 0.25952740 0.43627239 0.5782456 0.40808035 0.40728334 0.43416435
5  0.6438303 0.18568071 0.35508746 0.5047331 0.32667934 0.32588312 0.35294708
6  0.5882971 0.13151280 0.28722224 0.4387648 0.25976805 0.25900541 0.28513755
7  0.5588714 0.10808205 0.25457530 0.4051613 0.22801519 0.22728113 0.25254957
8  0.5286937 0.08741151 0.22342308 0.3717009 0.19802050 0.19732229 0.22147636
9  0.4918564 0.06631780 0.18852678 0.3322685 0.16482206 0.16417518 0.18669888
10 0.4810212 0.06090283 0.17890595 0.3209721 0.15575251 0.15512207 0.17711715
11 0.4487229 0.04668852 0.15193010 0.2881341 0.13053821 0.12995976 0.15026754
12 0.4113597 0.03348377 0.12384014 0.2517484 0.10466589 0.10415190 0.12233884
13 0.3954728 0.02880226 0.11288586 0.2368133 0.09469870 0.09421309 0.11145707
14 0.3730427 0.02303885 0.09840369 0.2162870 0.08164201 0.08119707 0.09708033
          14         15         16         17        18         19         20
1  0.9443142 0.77913553 0.74925086 0.79962470 0.8197197 0.79323991 0.74389176
2  0.8894543 0.60033503 0.55419789 0.63305679 0.6660113 0.62276494 0.54612352
3  0.8505032 0.49395070 0.44226191 0.53154885 0.5701729 0.51964120 0.43338019
4  0.8037964 0.38622176 0.33272717 0.42639227 0.4687040 0.41355906 0.32374613
5  0.7613785 0.30498456 0.25319607 0.34507814 0.3883349 0.33216298 0.24469405
6  0.7200217 0.23912676 0.19109553 0.27749571 0.3199279 0.26503080 0.18339107
7  0.6975059 0.20822284 0.16282917 0.24513615 0.2865366 0.23308637 0.15564360
8  0.6739404 0.17927198 0.13693906 0.21436487 0.2543269 0.20284984 0.13033359
9  0.6444680 0.14754433 0.10931532 0.18003703 0.2177775 0.16930339 0.10346108
10 0.6356406 0.13894165 0.10197702 0.17060249 0.2076019 0.16012204 0.09634915
11 0.6088663 0.11519248 0.08209867 0.14422621 0.1788077 0.13455348 0.07715075
12 0.5769590 0.09111697 0.06259705 0.11689879 0.1483469 0.10824052 0.05842909
13 0.5630595 0.08193484 0.05535973 0.10628632 0.1363119 0.09807886 0.05151603
14 0.5430676 0.06999723 0.04614119 0.09230017 0.1202431 0.08474298 0.04274352
           21         22           23         24         25         26
1  0.71683603 0.77954870 2.787891e-01 0.66875745 0.76174343 0.75118759
2  0.50628338 0.60098610 7.342091e-02 0.43928566 0.57325518 0.55713079
3  0.39029837 0.49469133 2.705664e-02 0.32076381 0.46342061 0.44550037
4  0.28110655 0.38700306 7.681254e-03 0.21574306 0.35437535 0.33601759
5  0.20514694 0.30575486 2.293697e-03 0.14743513 0.27392237 0.25632536
6  0.14829833 0.23985464 6.604220e-04 0.09960531 0.21009763 0.19394472
7  0.12330127 0.20891805 3.252602e-04 0.07968841 0.18066954 0.16549365
8  0.10098134 0.17992774 1.511748e-04 0.06260118 0.15345741 0.13939557
9  0.07787616 0.14814532 5.578903e-05 0.04573141 0.12409272 0.11150072
10 0.07187905 0.13952540 4.102230e-05 0.04151019 0.11622411 0.10408037
11 0.05597700 0.11572252 1.571710e-05 0.03068427 0.09473795 0.08395465
12 0.04094330 0.09158183 4.734053e-06 0.02102632 0.07336491 0.06416759
13 0.03553432 0.08237144 2.748760e-06 0.01771723 0.06534088 0.05681107
14 0.02880208 0.07039376 1.227802e-06 0.01374508 0.05503146 0.04742805
           27          28          29         30
1  0.67089693 0.644252178 0.648599863 0.65239015
2  0.44216383 0.407004042 0.412639563 0.41758488
3  0.32367242 0.288646277 0.294185310 0.29906985
4  0.21838592 0.187126404 0.191985995 0.19629796
5  0.14969295 0.123440666 0.127454926 0.13103802
6  0.10144602 0.080414890 0.083576086 0.08641505
7  0.08130493 0.063017231 0.065739216 0.06819225
8  0.06399357 0.048408481 0.050703600 0.05277974
9  0.04686526 0.034347920 0.036165746 0.03781820
10 0.04257209 0.030898535 0.032586520 0.03412326
11 0.03154481 0.022208629 0.023540504 0.02475876
12 0.02168096 0.014693933 0.015673867 0.01657550
13 0.01829370 0.012186255 0.013036216 0.01382035
14 0.01422094 0.009234051 0.009920112 0.01055555

$lower
            1            2          3          4           5            6
1  0.65025978 0.4788236861 0.67079288 0.69495474 0.633882605 3.405334e-01
2  0.41690659 0.2231658832 0.44362760 0.47648489 0.396424411 1.113055e-01
3  0.29905840 0.1260078431 0.32573225 0.35930378 0.278887988 4.798140e-02
4  0.19670379 0.0612761359 0.22059022 0.25159421 0.178915273 1.656278e-02
5  0.13141632 0.0306680699 0.15167978 0.17876972 0.116842510 5.956358e-03
6  0.08654498 0.0150192211 0.10307778 0.12571830 0.075308971 2.064174e-03
7  0.06818521 0.0099979123 0.08263333 0.10289017 0.058658269 1.126556e-03
8  0.05264843 0.0064385469 0.06502057 0.08284990 0.044779727 5.847407e-04
9  0.03759254 0.0036234199 0.04758618 0.06251630 0.031507442 2.487427e-04
10 0.03387974 0.0030317804 0.04321507 0.05731935 0.028264635 1.910208e-04
11 0.02448482 0.0017374412 0.03198688 0.04369601 0.020145677 8.371205e-05
12 0.01629795 0.0008647572 0.02194239 0.03104747 0.013176505 2.973251e-05
13 0.01354684 0.0006298691 0.01849144 0.02657078 0.010840878 1.856400e-05
14 0.01029199 0.0003932649 0.01434106 0.02108529 0.008112461 9.208586e-06
           7           8          9         10         11         12         13
1  0.8500451 0.547447009 0.69522898 0.78629731 0.70365203 0.70089984 0.72624976
2  0.7183471 0.293059118 0.47719194 0.61320160 0.49003342 0.48601230 0.52243550
3  0.6333884 0.183435603 0.36020866 0.50927527 0.37386846 0.36960116 0.40838092
4  0.5403884 0.101583614 0.25278234 0.40310350 0.26564132 0.26163974 0.29940030
5  0.4640317 0.057542437 0.17988154 0.32225469 0.19115157 0.18766442 0.22223239
6  0.3965908 0.032015925 0.12656493 0.25592746 0.13601569 0.13300885 0.16346916
7  0.3626364 0.022938007 0.10360938 0.22438158 0.11205607 0.10927255 0.13731543
8  0.3291858 0.015976244 0.08344925 0.19451690 0.09083980 0.08830619 0.11372283
9  0.2902622 0.009960052 0.06298343 0.16141756 0.06912801 0.06691434 0.08896065
10 0.2792180 0.008608275 0.05775059 0.15233370 0.06354227 0.06142382 0.08246794
11 0.2473240 0.005458991 0.04406430 0.12712702 0.04885260 0.04701661 0.06501987
12 0.2124178 0.003085225 0.03142893 0.10134321 0.03516051 0.03364013 0.04818538
13 0.1982634 0.002380972 0.02697205 0.09142921 0.03029010 0.02889695 0.04206044
14 0.1789886 0.001620199 0.02143074 0.07845948 0.02427962 0.02305735 0.03437367
          14         15         16         17         18         19         20
1  0.9040917 0.71044980 0.67378020 0.72294343 0.74613874 0.71622458 0.65512340
2  0.8143819 0.50093193 0.44974067 0.51798758 0.55214259 0.50838625 0.42403245
3  0.7531742 0.38592474 0.33242469 0.40369855 0.44089109 0.39347237 0.30608553
4  0.6825181 0.27772340 0.22707041 0.29475956 0.33198780 0.28469829 0.20277145
5  0.6209822 0.20238771 0.15742148 0.21781390 0.25283107 0.20850691 0.13638784
6  0.5633670 0.14601296 0.10795756 0.15946209 0.19088800 0.15127985 0.09064128
7  0.5330297 0.12122566 0.08706867 0.13352612 0.16265255 0.12602594 0.07185890
8  0.5020757 0.09905537 0.06887764 0.11016237 0.13679032 0.10342551 0.05591132
9  0.4645236 0.07599266 0.05069513 0.08575638 0.10915179 0.07992839 0.04032546
10 0.4535299 0.07001499 0.04612070 0.07938503 0.10178378 0.07379144 0.03645273
11 0.4209078 0.05413096 0.03428623 0.06240212 0.08175425 0.05746981 0.02660673
12 0.3834352 0.03910281 0.02359267 0.04608092 0.06213970 0.04202600 0.01792801
13 0.3675905 0.03371868 0.01989344 0.04010332 0.05486668 0.03646157 0.01497915
14 0.3453402 0.02703962 0.01541185 0.03261977 0.04558164 0.02950698 0.01147294
            21         22           23          24         25         26
1  0.621039031 0.69976597 1.762159e-01 0.569012601 0.68009846 0.65840369
2  0.380492357 0.48496791 2.856066e-02 0.317969617 0.45799612 0.42803806
3  0.263756587 0.36868673 7.241013e-03 0.205529456 0.34090817 0.31013619
4  0.166121552 0.26097660 1.271794e-03 0.118502506 0.23481781 0.20662385
5  0.106578467 0.18741936 2.378553e-04 0.069856882 0.16410506 0.13995020
6  0.067422480 0.13318316 4.213093e-05 0.040558285 0.11329906 0.09363470
7  0.051941542 0.10960852 1.571204e-05 0.029783462 0.09169823 0.07447795
8  0.039161780 0.08878074 5.399011e-06 0.021337307 0.07292769 0.05815868
9  0.027105962 0.06738205 1.341131e-06 0.013838928 0.05410943 0.04217711
10 0.024199654 0.06185545 8.721602e-07 0.012111833 0.04935113 0.03819525
11 0.016972878 0.04735505 2.273089e-07 0.007997231 0.03700670 0.02800921
12 0.010835506 0.03389412 4.203466e-08 0.004768453 0.02575460 0.01901302
13 0.008819302 0.02910843 1.949230e-08 0.003776252 0.02183104 0.01594549
14 0.006491207 0.02317014 6.206678e-09 0.002675913 0.01707411 0.01225027
            27          28          29          30
1  0.563957284 0.531741129 0.549242722 0.554984049
2  0.312857996 0.277203816 0.296653333 0.303463179
3  0.200921807 0.170095993 0.186923649 0.193072255
4  0.114552732 0.091760805 0.104293603 0.108897511
5  0.066733324 0.050697821 0.059523085 0.062693855
6  0.038246393 0.027472515 0.033346517 0.035433708
7  0.027867498 0.019390847 0.023975947 0.025583591
8  0.019788915 0.013305145 0.016784545 0.017956379
9  0.012678055 0.008153196 0.010529725 0.011322613
10 0.011051721 0.007010700 0.009110426 0.009820066
11 0.007202469 0.004378450 0.005796832 0.006295338
12 0.004206786 0.002431811 0.003289631 0.003605877
13 0.003291634 0.001863486 0.002543050 0.002796028
14 0.002286543 0.001256316 0.001734519 0.001909288

$upper
           1         2         3         4         5          6         7
1  0.9085989 0.8468823 0.9457437 0.9633138 0.8371457 0.64286500 0.9776394
2  0.8178810 0.7077707 0.8889835 0.9239097 0.6905423 0.40237356 0.9535060
3  0.7557119 0.6190894 0.8483734 0.8953881 0.5981987 0.28475228 0.9357655
4  0.6839212 0.5229118 0.7998928 0.8609404 0.4992844 0.18452741 0.9138901
5  0.6221821 0.4447443 0.7562746 0.8288484 0.4197607 0.12188962 0.8932956
6  0.5656605 0.3767456 0.7141598 0.7970695 0.3511687 0.08000960 0.8726716
7  0.5362697 0.3431029 0.6921755 0.7796257 0.3172797 0.06314303 0.8612958
8  0.5065212 0.3100300 0.6695261 0.7610772 0.2841955 0.04890815 0.8491162
9  0.4704552 0.2723568 0.6413456 0.7374205 0.2463289 0.03513338 0.8334629
10 0.4599041 0.2619387 0.6329420 0.7302254 0.2357455 0.03173854 0.8286766
11 0.4286036 0.2320381 0.6075518 0.7086302 0.2055003 0.02314038 0.8141230
12 0.3927492 0.1996673 0.5775622 0.6840860 0.1732467 0.01563681 0.7966224
13 0.3776949 0.1866857 0.5646707 0.6738437 0.1607966 0.01311971 0.7888434
14 0.3566806 0.1691762 0.5463652 0.6592088 0.1440638 0.01014252 0.7774847
           8         9        10        11        12        13        14
1  0.9001149 0.9308167 0.9541154 0.8879987 0.8905717 0.8887965 0.9863263
2  0.8028261 0.8607246 0.9061654 0.7802064 0.7850136 0.7821104 0.9714472
3  0.7376924 0.8114908 0.8715872 0.7081092 0.7142114 0.7106457 0.9604094
4  0.6630446 0.7529545 0.8294841 0.6268963 0.6340005 0.6295875 0.9466250
5  0.5991635 0.7009452 0.7905410 0.5582972 0.5659027 0.5605467 0.9335166
6  0.5402192 0.6518126 0.7522230 0.4961151 0.5043559 0.4973624 0.9202371
7  0.5092739 0.6255089 0.7315917 0.4639724 0.4727327 0.4644874 0.9127342
8  0.4782583 0.5981824 0.7102806 0.4316623 0.4409214 0.4313274 0.9046359
9  0.4415691 0.5643126 0.6839551 0.3929855 0.4028058 0.3918190 0.8941182
10 0.4308825 0.5542340 0.6762987 0.3817749 0.3917512 0.3803961 0.8908762
11 0.3993078 0.5238425 0.6530575 0.3488090 0.3592250 0.3472836 0.8807586
12 0.3633975 0.4879702 0.6253727 0.3115696 0.3224607 0.3106085 0.8681564
13 0.3484166 0.4724601 0.6133766 0.2960652 0.3071641 0.2953530 0.8624708
14 0.3276070 0.4518410 0.5962319 0.2745273 0.2859377 0.2741805 0.8540054
          15        16        17        18        19        20        21
1  0.8544617 0.8331751 0.8844394 0.9005569 0.8785367 0.8446881 0.8274100
2  0.7194633 0.6829165 0.7736882 0.8033631 0.7628770 0.7033681 0.6736610
3  0.6322147 0.5883907 0.6998890 0.7373638 0.6862667 0.6136141 0.5775508
4  0.5371072 0.4875464 0.6168091 0.6617215 0.6007451 0.5168950 0.4756812
5  0.4595910 0.4072395 0.5467003 0.5964613 0.5291539 0.4390067 0.3948759
6  0.3916201 0.3382579 0.4828976 0.5361985 0.4643138 0.3710482 0.3261879
7  0.3576532 0.3045107 0.4500373 0.5047769 0.4310958 0.3371180 0.2926984
8  0.3244493 0.2722554 0.4171325 0.4728564 0.3978521 0.3038176 0.2603873
9  0.2864662 0.2357197 0.3779699 0.4345055 0.3586165 0.2654451 0.2237403
10 0.2757236 0.2254804 0.3666335 0.4234323 0.3474531 0.2546629 0.2134988
11 0.2451334 0.1965860 0.3333412 0.3910768 0.3150287 0.2237118 0.1846137
12 0.2123198 0.1660851 0.2965506 0.3541506 0.2787800 0.1904260 0.1547093
13 0.1990979 0.1540558 0.2816919 0.3386559 0.2638247 0.1771730 0.1431732
14 0.1812012 0.1381411 0.2611705 0.3171977 0.2433788 0.1592449 0.1277974
          22           23         24        25        26         27         28
1  0.8684277 0.4410689315 0.78598703 0.8531898 0.8570468 0.79811486 0.78056943
2  0.7447592 0.1887432252 0.60688783 0.7175203 0.7251568 0.62491244 0.59758301
3  0.6637600 0.1010993888 0.50060669 0.6299604 0.6399465 0.52141596 0.48982149
4  0.5738881 0.0463924595 0.39277708 0.5348056 0.5464414 0.41633586 0.38160401
5  0.4988067 0.0221186888 0.31116645 0.4572282 0.4694719 0.33578397 0.30055726
6  0.4319634 0.0103524236 0.24461629 0.3895974 0.4017160 0.26907882 0.23538269
7  0.3982058 0.0067333194 0.21321372 0.3559663 0.3677350 0.23721150 0.20479618
8  0.3646511 0.0042329661 0.18366459 0.3229113 0.3341054 0.20694295 0.17612592
9  0.3257104 0.0023207396 0.15112169 0.2845900 0.2947668 0.17324050 0.14470148
10 0.3147231 0.0019294953 0.14226545 0.2737130 0.2836144 0.16399101 0.13618034
11 0.2827935 0.0010867472 0.11773129 0.2425312 0.2516452 0.13815751 0.11264791
12 0.2474539 0.0005331615 0.09271477 0.2089883 0.2165610 0.11173953 0.08878638
13 0.2330959 0.0003876237 0.08312477 0.1955669 0.2024082 0.10166968 0.07969195
14 0.2138650 0.0002428832 0.07060292 0.1773716 0.1836221 0.08844581 0.06787124
           29         30
1  0.76593055 0.76689214
2  0.57397437 0.57462370
3  0.46299651 0.46326064
4  0.35341211 0.35384544
5  0.27291526 0.27388591
6  0.20946602 0.21074735
7  0.18024917 0.18176428
8  0.15316800 0.15513712
9  0.12421608 0.12631501
10 0.11655671 0.11857322
11 0.09559623 0.09737307
12 0.07468014 0.07619429
13 0.06682641 0.06831195
14 0.05673538 0.05835663

   turbineID persistence.prob     lower     upper mean.persistence.time
1          1        0.8007374 0.6645407 0.8871063              4.500000
2          2        0.7083425 0.3661472 0.8851257              2.900000
3          3        0.8232919 0.5475254 0.9383934              5.142857
4          4        0.8539397 0.5980382 0.9526759              6.333333
5          5        0.7852460 0.5333080 0.9143481              4.136364
6          6        0.5857374 0.2464994 0.8185143              1.869565
7          7        0.9267356 0.7856526 0.9757793             13.142857
8          8        0.7514773 0.4237929 0.9097906              3.500000
9          9        0.8438240 0.6035552 0.9443708              5.888889
10        10        0.8854834 0.6977178 0.9599138              8.222222
11        11        0.8278785 0.5975274 0.9319993              5.294118
12        12        0.8227343 0.5909346 0.9305192              5.125000
13        13        0.8440939 0.6347713 0.9399164              5.900000
14        14        0.9561201 0.8683518 0.9858996             22.285714
15        15        0.8177329 0.5996573 0.9249645              4.969697
16        16        0.7951960 0.5604675 0.9153150              4.363636
17        17        0.8369708 0.6234750 0.9354922              5.619048
18        18        0.8524303 0.6535945 0.9414956              6.263158
19        19        0.8312091 0.6151757 0.9319226              5.409091
20        20        0.7963450 0.5519637 0.9157038              4.391304
21        21        0.7744861 0.5075800 0.9070314              3.913043
22        22        0.8201436 0.5948337 0.9273321              5.043478
23        23        0.4694950 0.1504562 0.7486028              1.322581
24        24        0.7526082 0.4822808 0.8973338              3.518519
25        25        0.8061244 0.5691351 0.9217446              4.640000
26        26        0.8046151 0.5659082 0.9224736              4.600000
27        27        0.7398041 0.4598126 0.8922544              3.318182
28        28        0.7269914 0.4256132 0.8845368              3.136364
29        29        0.7219187 0.4339599 0.8829771              3.068966
30        30        0.7191608 0.4383112 0.8801376              3.033333

carcass documentation built on May 2, 2019, 2:42 a.m.