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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 23 Oct 2009 03:24:27 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/23/t1256290053zepjabvytlfzft5.htm/, Retrieved Thu, 02 May 2024 10:56:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49861, Retrieved Thu, 02 May 2024 10:56:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsshwws3vbtrng1
Estimated Impact135

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [workshop 2] [2009-10-12 17:39:18] [1b6701091a97b7b3d9950959168c4b49]
- RMP   [Percentiles] [] [2009-10-19 18:05:01] [1b6701091a97b7b3d9950959168c4b49]
- RMPD      [Harrell-Davis Quantiles] [] [2009-10-23 09:24:27] [4407d6264e55b051ec65750e6dca2820] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1027387
1032760
1026564
1031480
1039048
1029781
1036585
1039113
1038981
1048472
1050976
1058369
1063014
1069895
1068642
1068381
1071410
1075303
1074652
1076742
1058112
1070165
1082079
1089077
1089392
1089298
1091254
1095112
1094153
1098756
1101085
1103418
1099897
1098269
1095835
1105013
1099386
1108399
1106298
1110539
1111430
1111951
1115406
1116142
1120071
1114196
1120541
1123962
1123389
1120435
1116495
1110012
1106820
1104494
1103760
1091570
1048367
1061626
1047607
1023650
1001154
993397
977486
971751
961207
957734
966893
974422

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49861&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49861&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49861&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01959101.5002090074011.23991942011
0.015960195.6059042464535.32616988873
0.02961490.2473967265133.87444143821
0.025962932.8616528485753.01457621048
0.03964484.261519266378.94930988837
0.035966120.7729330087036.25105289217
0.04967832.7647263347766.46384521522
0.045969621.500512598609.07821765888
0.05971495.461775179588.70609162378
0.055973466.7294076410702.5598633749
0.06975547.71365562511926.0754703074
0.065977748.39938241613217.9512378286
0.07980074.22388147814524.9997254947
0.075982524.6654556215789.1459427009
0.08985092.57036891516954.4724042136
0.085987764.18605673517969.8677921909
0.09990519.8111583118793.0792214935
0.095993334.92865852719393.6637405415
0.1996181.66303296819752.9066550277
0.105999030.39663398319865.6905471735
0.111001851.3919341519737.6919141121
0.1151004616.2901083019386.7820192069
0.121007299.3877572918837.5134245232
0.1251009878.6277242418121.6956514264
0.131012336.2731492417275.0336675560
0.1351014659.2633923216336.1784534680
0.141016839.2744677615341.9976325494
0.1451018872.5243054014327.6565068297
0.151020759.3743491213324.9196671695
0.1551022503.7841423612361.6858334510
0.161024112.6754565711460.265499438
0.1651025595.2582558710637.3323358461
0.171026962.363531809905.18756267118
0.1751028225.818956919270.34864628059
0.181029397.893465188735.51785754848
0.1851030490.827185938296.58759183594
0.191031516.454342357949.96861826014
0.1951032485.919268657687.99742152953
0.21033409.479874417500.43642580261
0.2051034296.388774137378.38045213857
0.211035154.83982797312.57466996103
0.2151035991.966810397292.82210571681
0.221036813.881074907312.7896134046
0.2251037625.736103577362.48872716311
0.231038431.808436447437.90897735628
0.2351039235.586377417533.0490803092
0.241040039.859857797641.971408994
0.2451040846.806724677761.72035359622
0.251041658.072393877888.67702233214
0.2551042474.841199178019.90863025484
0.261043297.898857688151.78118784197
0.2651044127.686264318282.38826646503
0.271044964.345359258409.82552246836
0.2751045807.758124968531.54557231232
0.281046657.579912058645.80781273449
0.2851047513.268314078750.95406709757
0.291048374.108749338846.45842479102
0.2951049239.237796018930.64938212876
0.31050107.665188189001.91537535642
0.3051050978.295230359058.00636472023
0.311051849.948234289100.35436691364
0.3151052721.382429139127.76546589806
0.321053591.316643889139.3921671949
0.3251054458.453910309136.11993509272
0.331055321.505984699115.25663495785
0.3351056179.218638319080.19953952737
0.341057030.397423169029.46766987492
0.3451057873.933483928965.2359193146
0.351058708.828865778888.71839956971
0.3551059534.220665588801.76012541755
0.361060349.403297828705.67400257773
0.3651061153.848101788601.09290798593
0.371061947.219507618492.50394550842
0.3751062729.387008828382.13885955499
0.381063500.432259038272.2887389472
0.3851064260.650720978165.61536581146
0.391065010.547441988065.42319489813
0.3951065750.826709787974.28283230611
0.41066482.375546767892.07491118974
0.4051067206.241223857825.20605571459
0.411067923.603205977773.17046749619
0.4151068635.740171307736.79072511426
0.421069343.992963847717.95827374478
0.4251070049.724534537716.32645927037
0.431070754.278088457732.84887165295
0.4351071458.934777107763.70115549902
0.441072164.872346297811.26004081137
0.4451072873.126167047869.53326433832
0.451073584.554035387936.99092203339
0.4551074299.806025508011.8768981863
0.461075019.300523058090.28960349426
0.4651075743.207354218166.47312670239
0.471076471.438671258239.9168054236
0.4751077203.647965598305.72885185782
0.481077939.237267998361.84392087086
0.4851078677.372276678403.81391154137
0.491079417.004842268430.17293897784
0.4951080156.901949408437.21748569622
0.51080895.680082318425.7176369508
0.5051081631.843658758392.03475009407
0.511082363.826073878337.48466733891
0.5151083090.031819198262.27836879714
0.521083808.8781378165.6133807227
0.5251084518.834735518048.56036239515
0.531085218.460221447912.61839434986
0.5351085906.434096817761.04292975758
0.541086581.583403547595.52135819728
0.5451087242.903370077418.47233061896
0.551087889.571703177230.7355156525
0.5551088520.956458597038.37626446923
0.561089136.617701676840.62324153776
0.5651089736.303418026641.35150106347
0.571090319.940343406443.5749868272
0.5751090887.620541626246.38140921606
0.581091439.584663866056.21725318085
0.5851091976.202870915871.3158337515
0.591092497.954392445692.42174927397
0.5951093005.406640405522.13153387501
0.61093499.194695195359.71939195056
0.6051093980.001852975205.81524941953
0.611094448.541772555061.18912390324
0.6151094905.54260294925.73232581849
0.621095351.733317554798.34445060674
0.6251095787.832341704679.99653519068
0.631096214.538438184568.42575391744
0.6351096632.523725874464.70230257446
0.641097042.428640064367.41218031217
0.6451097444.858609854276.73930826256
0.651097840.382218244191.05080820105
0.6551098229.530622114110.94966659219
0.661098612.798035244037.57821255541
0.6651098990.643109783966.94662135438
0.671099363.491083633901.39612879602
0.6751099731.736586643839.80444667472
0.681100095.747012143781.59715072666
0.6851100455.866360413727.03082588002
0.691100812.419445563673.95351947172
0.6951101165.716331383624.66548508797
0.71101516.056827333576.92132355065
0.7051101863.734840693531.7119358583
0.711102209.042352213489.56802398603
0.7151102552.272766873448.70415822356
0.721102893.723396783410.73997848819
0.7251103233.696862583375.47214687518
0.731103572.501257403342.15173444395
0.7351103910.449000083312.05467685065
0.741104247.854408413284.27107074017
0.7451104585.030139973260.15709252686
0.751104922.282765873238.48148075245
0.7551105259.907848553219.47096097293
0.761105598.184973923203.06608157898
0.7651105937.373228493188.14189749653
0.771106277.707603033175.58308594173
0.7751106619.396740773164.12529434731
0.781106962.622331933153.09157068932
0.7851107307.540295373142.60282773729
0.791107654.283699173132.89680396799
0.7951108002.967177413121.9770585976
0.81108353.692427643109.57097426922
0.8051108706.554250433097.30288803526
0.811109061.646543943083.89528001338
0.8151109419.067707663069.84958046884
0.821109778.925043223055.1577348972
0.8251110141.337948793039.68157386231
0.831110506.439951813024.86588734745
0.8351110874.379855923009.60419420959
0.841111245.322424402994.30784301612
0.8451111619.449013102978.94144823389
0.851111996.958345212963.41238432811
0.8551112378.067166502947.75223957607
0.861112763.009868202931.90400653268
0.8651113152.035423782914.85303134469
0.871113545.399347742897.83852052175
0.8751113943.348113332879.88046535418
0.881114346.093869042862.30898960083
0.8851114753.778652782843.82338951522
0.891115166.429785442825.16581778450
0.8951115583.911664192805.55747623775
0.91116005.883344932783.41518364800
0.9051116431.775226172756.80545773082
0.911116860.800473512723.36382225735
0.9151117292.015851012679.06943845801
0.921117724.440597422622.44225657315
0.9251118157.229630982550.53040859083
0.931118589.878633022463.38299299836
0.9351119022.415431292364.35769816189
0.941119455.509251022259.02861516158
0.9451119890.414296572155.74903816578
0.951120328.666173402064.09036457110
0.9551120771.478038281990.98601351579
0.961121218.843648461936.15844824591
0.9651121668.444754351887.97068275875
0.971122114.568210581823.98549915655
0.9751122547.340741151716.70421258946
0.981122952.656049011544.23779074898
0.9851123313.167445511302.75905368382
0.991123610.618126471017.50004169173

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 959101.500209007 & 4011.23991942011 \tabularnewline
0.015 & 960195.605904246 & 4535.32616988873 \tabularnewline
0.02 & 961490.247396726 & 5133.87444143821 \tabularnewline
0.025 & 962932.861652848 & 5753.01457621048 \tabularnewline
0.03 & 964484.26151926 & 6378.94930988837 \tabularnewline
0.035 & 966120.772933008 & 7036.25105289217 \tabularnewline
0.04 & 967832.764726334 & 7766.46384521522 \tabularnewline
0.045 & 969621.50051259 & 8609.07821765888 \tabularnewline
0.05 & 971495.46177517 & 9588.70609162378 \tabularnewline
0.055 & 973466.72940764 & 10702.5598633749 \tabularnewline
0.06 & 975547.713655625 & 11926.0754703074 \tabularnewline
0.065 & 977748.399382416 & 13217.9512378286 \tabularnewline
0.07 & 980074.223881478 & 14524.9997254947 \tabularnewline
0.075 & 982524.66545562 & 15789.1459427009 \tabularnewline
0.08 & 985092.570368915 & 16954.4724042136 \tabularnewline
0.085 & 987764.186056735 & 17969.8677921909 \tabularnewline
0.09 & 990519.81115831 & 18793.0792214935 \tabularnewline
0.095 & 993334.928658527 & 19393.6637405415 \tabularnewline
0.1 & 996181.663032968 & 19752.9066550277 \tabularnewline
0.105 & 999030.396633983 & 19865.6905471735 \tabularnewline
0.11 & 1001851.39193415 & 19737.6919141121 \tabularnewline
0.115 & 1004616.29010830 & 19386.7820192069 \tabularnewline
0.12 & 1007299.38775729 & 18837.5134245232 \tabularnewline
0.125 & 1009878.62772424 & 18121.6956514264 \tabularnewline
0.13 & 1012336.27314924 & 17275.0336675560 \tabularnewline
0.135 & 1014659.26339232 & 16336.1784534680 \tabularnewline
0.14 & 1016839.27446776 & 15341.9976325494 \tabularnewline
0.145 & 1018872.52430540 & 14327.6565068297 \tabularnewline
0.15 & 1020759.37434912 & 13324.9196671695 \tabularnewline
0.155 & 1022503.78414236 & 12361.6858334510 \tabularnewline
0.16 & 1024112.67545657 & 11460.265499438 \tabularnewline
0.165 & 1025595.25825587 & 10637.3323358461 \tabularnewline
0.17 & 1026962.36353180 & 9905.18756267118 \tabularnewline
0.175 & 1028225.81895691 & 9270.34864628059 \tabularnewline
0.18 & 1029397.89346518 & 8735.51785754848 \tabularnewline
0.185 & 1030490.82718593 & 8296.58759183594 \tabularnewline
0.19 & 1031516.45434235 & 7949.96861826014 \tabularnewline
0.195 & 1032485.91926865 & 7687.99742152953 \tabularnewline
0.2 & 1033409.47987441 & 7500.43642580261 \tabularnewline
0.205 & 1034296.38877413 & 7378.38045213857 \tabularnewline
0.21 & 1035154.8398279 & 7312.57466996103 \tabularnewline
0.215 & 1035991.96681039 & 7292.82210571681 \tabularnewline
0.22 & 1036813.88107490 & 7312.7896134046 \tabularnewline
0.225 & 1037625.73610357 & 7362.48872716311 \tabularnewline
0.23 & 1038431.80843644 & 7437.90897735628 \tabularnewline
0.235 & 1039235.58637741 & 7533.0490803092 \tabularnewline
0.24 & 1040039.85985779 & 7641.971408994 \tabularnewline
0.245 & 1040846.80672467 & 7761.72035359622 \tabularnewline
0.25 & 1041658.07239387 & 7888.67702233214 \tabularnewline
0.255 & 1042474.84119917 & 8019.90863025484 \tabularnewline
0.26 & 1043297.89885768 & 8151.78118784197 \tabularnewline
0.265 & 1044127.68626431 & 8282.38826646503 \tabularnewline
0.27 & 1044964.34535925 & 8409.82552246836 \tabularnewline
0.275 & 1045807.75812496 & 8531.54557231232 \tabularnewline
0.28 & 1046657.57991205 & 8645.80781273449 \tabularnewline
0.285 & 1047513.26831407 & 8750.95406709757 \tabularnewline
0.29 & 1048374.10874933 & 8846.45842479102 \tabularnewline
0.295 & 1049239.23779601 & 8930.64938212876 \tabularnewline
0.3 & 1050107.66518818 & 9001.91537535642 \tabularnewline
0.305 & 1050978.29523035 & 9058.00636472023 \tabularnewline
0.31 & 1051849.94823428 & 9100.35436691364 \tabularnewline
0.315 & 1052721.38242913 & 9127.76546589806 \tabularnewline
0.32 & 1053591.31664388 & 9139.3921671949 \tabularnewline
0.325 & 1054458.45391030 & 9136.11993509272 \tabularnewline
0.33 & 1055321.50598469 & 9115.25663495785 \tabularnewline
0.335 & 1056179.21863831 & 9080.19953952737 \tabularnewline
0.34 & 1057030.39742316 & 9029.46766987492 \tabularnewline
0.345 & 1057873.93348392 & 8965.2359193146 \tabularnewline
0.35 & 1058708.82886577 & 8888.71839956971 \tabularnewline
0.355 & 1059534.22066558 & 8801.76012541755 \tabularnewline
0.36 & 1060349.40329782 & 8705.67400257773 \tabularnewline
0.365 & 1061153.84810178 & 8601.09290798593 \tabularnewline
0.37 & 1061947.21950761 & 8492.50394550842 \tabularnewline
0.375 & 1062729.38700882 & 8382.13885955499 \tabularnewline
0.38 & 1063500.43225903 & 8272.2887389472 \tabularnewline
0.385 & 1064260.65072097 & 8165.61536581146 \tabularnewline
0.39 & 1065010.54744198 & 8065.42319489813 \tabularnewline
0.395 & 1065750.82670978 & 7974.28283230611 \tabularnewline
0.4 & 1066482.37554676 & 7892.07491118974 \tabularnewline
0.405 & 1067206.24122385 & 7825.20605571459 \tabularnewline
0.41 & 1067923.60320597 & 7773.17046749619 \tabularnewline
0.415 & 1068635.74017130 & 7736.79072511426 \tabularnewline
0.42 & 1069343.99296384 & 7717.95827374478 \tabularnewline
0.425 & 1070049.72453453 & 7716.32645927037 \tabularnewline
0.43 & 1070754.27808845 & 7732.84887165295 \tabularnewline
0.435 & 1071458.93477710 & 7763.70115549902 \tabularnewline
0.44 & 1072164.87234629 & 7811.26004081137 \tabularnewline
0.445 & 1072873.12616704 & 7869.53326433832 \tabularnewline
0.45 & 1073584.55403538 & 7936.99092203339 \tabularnewline
0.455 & 1074299.80602550 & 8011.8768981863 \tabularnewline
0.46 & 1075019.30052305 & 8090.28960349426 \tabularnewline
0.465 & 1075743.20735421 & 8166.47312670239 \tabularnewline
0.47 & 1076471.43867125 & 8239.9168054236 \tabularnewline
0.475 & 1077203.64796559 & 8305.72885185782 \tabularnewline
0.48 & 1077939.23726799 & 8361.84392087086 \tabularnewline
0.485 & 1078677.37227667 & 8403.81391154137 \tabularnewline
0.49 & 1079417.00484226 & 8430.17293897784 \tabularnewline
0.495 & 1080156.90194940 & 8437.21748569622 \tabularnewline
0.5 & 1080895.68008231 & 8425.7176369508 \tabularnewline
0.505 & 1081631.84365875 & 8392.03475009407 \tabularnewline
0.51 & 1082363.82607387 & 8337.48466733891 \tabularnewline
0.515 & 1083090.03181919 & 8262.27836879714 \tabularnewline
0.52 & 1083808.878137 & 8165.6133807227 \tabularnewline
0.525 & 1084518.83473551 & 8048.56036239515 \tabularnewline
0.53 & 1085218.46022144 & 7912.61839434986 \tabularnewline
0.535 & 1085906.43409681 & 7761.04292975758 \tabularnewline
0.54 & 1086581.58340354 & 7595.52135819728 \tabularnewline
0.545 & 1087242.90337007 & 7418.47233061896 \tabularnewline
0.55 & 1087889.57170317 & 7230.7355156525 \tabularnewline
0.555 & 1088520.95645859 & 7038.37626446923 \tabularnewline
0.56 & 1089136.61770167 & 6840.62324153776 \tabularnewline
0.565 & 1089736.30341802 & 6641.35150106347 \tabularnewline
0.57 & 1090319.94034340 & 6443.5749868272 \tabularnewline
0.575 & 1090887.62054162 & 6246.38140921606 \tabularnewline
0.58 & 1091439.58466386 & 6056.21725318085 \tabularnewline
0.585 & 1091976.20287091 & 5871.3158337515 \tabularnewline
0.59 & 1092497.95439244 & 5692.42174927397 \tabularnewline
0.595 & 1093005.40664040 & 5522.13153387501 \tabularnewline
0.6 & 1093499.19469519 & 5359.71939195056 \tabularnewline
0.605 & 1093980.00185297 & 5205.81524941953 \tabularnewline
0.61 & 1094448.54177255 & 5061.18912390324 \tabularnewline
0.615 & 1094905.5426029 & 4925.73232581849 \tabularnewline
0.62 & 1095351.73331755 & 4798.34445060674 \tabularnewline
0.625 & 1095787.83234170 & 4679.99653519068 \tabularnewline
0.63 & 1096214.53843818 & 4568.42575391744 \tabularnewline
0.635 & 1096632.52372587 & 4464.70230257446 \tabularnewline
0.64 & 1097042.42864006 & 4367.41218031217 \tabularnewline
0.645 & 1097444.85860985 & 4276.73930826256 \tabularnewline
0.65 & 1097840.38221824 & 4191.05080820105 \tabularnewline
0.655 & 1098229.53062211 & 4110.94966659219 \tabularnewline
0.66 & 1098612.79803524 & 4037.57821255541 \tabularnewline
0.665 & 1098990.64310978 & 3966.94662135438 \tabularnewline
0.67 & 1099363.49108363 & 3901.39612879602 \tabularnewline
0.675 & 1099731.73658664 & 3839.80444667472 \tabularnewline
0.68 & 1100095.74701214 & 3781.59715072666 \tabularnewline
0.685 & 1100455.86636041 & 3727.03082588002 \tabularnewline
0.69 & 1100812.41944556 & 3673.95351947172 \tabularnewline
0.695 & 1101165.71633138 & 3624.66548508797 \tabularnewline
0.7 & 1101516.05682733 & 3576.92132355065 \tabularnewline
0.705 & 1101863.73484069 & 3531.7119358583 \tabularnewline
0.71 & 1102209.04235221 & 3489.56802398603 \tabularnewline
0.715 & 1102552.27276687 & 3448.70415822356 \tabularnewline
0.72 & 1102893.72339678 & 3410.73997848819 \tabularnewline
0.725 & 1103233.69686258 & 3375.47214687518 \tabularnewline
0.73 & 1103572.50125740 & 3342.15173444395 \tabularnewline
0.735 & 1103910.44900008 & 3312.05467685065 \tabularnewline
0.74 & 1104247.85440841 & 3284.27107074017 \tabularnewline
0.745 & 1104585.03013997 & 3260.15709252686 \tabularnewline
0.75 & 1104922.28276587 & 3238.48148075245 \tabularnewline
0.755 & 1105259.90784855 & 3219.47096097293 \tabularnewline
0.76 & 1105598.18497392 & 3203.06608157898 \tabularnewline
0.765 & 1105937.37322849 & 3188.14189749653 \tabularnewline
0.77 & 1106277.70760303 & 3175.58308594173 \tabularnewline
0.775 & 1106619.39674077 & 3164.12529434731 \tabularnewline
0.78 & 1106962.62233193 & 3153.09157068932 \tabularnewline
0.785 & 1107307.54029537 & 3142.60282773729 \tabularnewline
0.79 & 1107654.28369917 & 3132.89680396799 \tabularnewline
0.795 & 1108002.96717741 & 3121.9770585976 \tabularnewline
0.8 & 1108353.69242764 & 3109.57097426922 \tabularnewline
0.805 & 1108706.55425043 & 3097.30288803526 \tabularnewline
0.81 & 1109061.64654394 & 3083.89528001338 \tabularnewline
0.815 & 1109419.06770766 & 3069.84958046884 \tabularnewline
0.82 & 1109778.92504322 & 3055.1577348972 \tabularnewline
0.825 & 1110141.33794879 & 3039.68157386231 \tabularnewline
0.83 & 1110506.43995181 & 3024.86588734745 \tabularnewline
0.835 & 1110874.37985592 & 3009.60419420959 \tabularnewline
0.84 & 1111245.32242440 & 2994.30784301612 \tabularnewline
0.845 & 1111619.44901310 & 2978.94144823389 \tabularnewline
0.85 & 1111996.95834521 & 2963.41238432811 \tabularnewline
0.855 & 1112378.06716650 & 2947.75223957607 \tabularnewline
0.86 & 1112763.00986820 & 2931.90400653268 \tabularnewline
0.865 & 1113152.03542378 & 2914.85303134469 \tabularnewline
0.87 & 1113545.39934774 & 2897.83852052175 \tabularnewline
0.875 & 1113943.34811333 & 2879.88046535418 \tabularnewline
0.88 & 1114346.09386904 & 2862.30898960083 \tabularnewline
0.885 & 1114753.77865278 & 2843.82338951522 \tabularnewline
0.89 & 1115166.42978544 & 2825.16581778450 \tabularnewline
0.895 & 1115583.91166419 & 2805.55747623775 \tabularnewline
0.9 & 1116005.88334493 & 2783.41518364800 \tabularnewline
0.905 & 1116431.77522617 & 2756.80545773082 \tabularnewline
0.91 & 1116860.80047351 & 2723.36382225735 \tabularnewline
0.915 & 1117292.01585101 & 2679.06943845801 \tabularnewline
0.92 & 1117724.44059742 & 2622.44225657315 \tabularnewline
0.925 & 1118157.22963098 & 2550.53040859083 \tabularnewline
0.93 & 1118589.87863302 & 2463.38299299836 \tabularnewline
0.935 & 1119022.41543129 & 2364.35769816189 \tabularnewline
0.94 & 1119455.50925102 & 2259.02861516158 \tabularnewline
0.945 & 1119890.41429657 & 2155.74903816578 \tabularnewline
0.95 & 1120328.66617340 & 2064.09036457110 \tabularnewline
0.955 & 1120771.47803828 & 1990.98601351579 \tabularnewline
0.96 & 1121218.84364846 & 1936.15844824591 \tabularnewline
0.965 & 1121668.44475435 & 1887.97068275875 \tabularnewline
0.97 & 1122114.56821058 & 1823.98549915655 \tabularnewline
0.975 & 1122547.34074115 & 1716.70421258946 \tabularnewline
0.98 & 1122952.65604901 & 1544.23779074898 \tabularnewline
0.985 & 1123313.16744551 & 1302.75905368382 \tabularnewline
0.99 & 1123610.61812647 & 1017.50004169173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49861&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]959101.500209007[/C][C]4011.23991942011[/C][/ROW]
[ROW][C]0.015[/C][C]960195.605904246[/C][C]4535.32616988873[/C][/ROW]
[ROW][C]0.02[/C][C]961490.247396726[/C][C]5133.87444143821[/C][/ROW]
[ROW][C]0.025[/C][C]962932.861652848[/C][C]5753.01457621048[/C][/ROW]
[ROW][C]0.03[/C][C]964484.26151926[/C][C]6378.94930988837[/C][/ROW]
[ROW][C]0.035[/C][C]966120.772933008[/C][C]7036.25105289217[/C][/ROW]
[ROW][C]0.04[/C][C]967832.764726334[/C][C]7766.46384521522[/C][/ROW]
[ROW][C]0.045[/C][C]969621.50051259[/C][C]8609.07821765888[/C][/ROW]
[ROW][C]0.05[/C][C]971495.46177517[/C][C]9588.70609162378[/C][/ROW]
[ROW][C]0.055[/C][C]973466.72940764[/C][C]10702.5598633749[/C][/ROW]
[ROW][C]0.06[/C][C]975547.713655625[/C][C]11926.0754703074[/C][/ROW]
[ROW][C]0.065[/C][C]977748.399382416[/C][C]13217.9512378286[/C][/ROW]
[ROW][C]0.07[/C][C]980074.223881478[/C][C]14524.9997254947[/C][/ROW]
[ROW][C]0.075[/C][C]982524.66545562[/C][C]15789.1459427009[/C][/ROW]
[ROW][C]0.08[/C][C]985092.570368915[/C][C]16954.4724042136[/C][/ROW]
[ROW][C]0.085[/C][C]987764.186056735[/C][C]17969.8677921909[/C][/ROW]
[ROW][C]0.09[/C][C]990519.81115831[/C][C]18793.0792214935[/C][/ROW]
[ROW][C]0.095[/C][C]993334.928658527[/C][C]19393.6637405415[/C][/ROW]
[ROW][C]0.1[/C][C]996181.663032968[/C][C]19752.9066550277[/C][/ROW]
[ROW][C]0.105[/C][C]999030.396633983[/C][C]19865.6905471735[/C][/ROW]
[ROW][C]0.11[/C][C]1001851.39193415[/C][C]19737.6919141121[/C][/ROW]
[ROW][C]0.115[/C][C]1004616.29010830[/C][C]19386.7820192069[/C][/ROW]
[ROW][C]0.12[/C][C]1007299.38775729[/C][C]18837.5134245232[/C][/ROW]
[ROW][C]0.125[/C][C]1009878.62772424[/C][C]18121.6956514264[/C][/ROW]
[ROW][C]0.13[/C][C]1012336.27314924[/C][C]17275.0336675560[/C][/ROW]
[ROW][C]0.135[/C][C]1014659.26339232[/C][C]16336.1784534680[/C][/ROW]
[ROW][C]0.14[/C][C]1016839.27446776[/C][C]15341.9976325494[/C][/ROW]
[ROW][C]0.145[/C][C]1018872.52430540[/C][C]14327.6565068297[/C][/ROW]
[ROW][C]0.15[/C][C]1020759.37434912[/C][C]13324.9196671695[/C][/ROW]
[ROW][C]0.155[/C][C]1022503.78414236[/C][C]12361.6858334510[/C][/ROW]
[ROW][C]0.16[/C][C]1024112.67545657[/C][C]11460.265499438[/C][/ROW]
[ROW][C]0.165[/C][C]1025595.25825587[/C][C]10637.3323358461[/C][/ROW]
[ROW][C]0.17[/C][C]1026962.36353180[/C][C]9905.18756267118[/C][/ROW]
[ROW][C]0.175[/C][C]1028225.81895691[/C][C]9270.34864628059[/C][/ROW]
[ROW][C]0.18[/C][C]1029397.89346518[/C][C]8735.51785754848[/C][/ROW]
[ROW][C]0.185[/C][C]1030490.82718593[/C][C]8296.58759183594[/C][/ROW]
[ROW][C]0.19[/C][C]1031516.45434235[/C][C]7949.96861826014[/C][/ROW]
[ROW][C]0.195[/C][C]1032485.91926865[/C][C]7687.99742152953[/C][/ROW]
[ROW][C]0.2[/C][C]1033409.47987441[/C][C]7500.43642580261[/C][/ROW]
[ROW][C]0.205[/C][C]1034296.38877413[/C][C]7378.38045213857[/C][/ROW]
[ROW][C]0.21[/C][C]1035154.8398279[/C][C]7312.57466996103[/C][/ROW]
[ROW][C]0.215[/C][C]1035991.96681039[/C][C]7292.82210571681[/C][/ROW]
[ROW][C]0.22[/C][C]1036813.88107490[/C][C]7312.7896134046[/C][/ROW]
[ROW][C]0.225[/C][C]1037625.73610357[/C][C]7362.48872716311[/C][/ROW]
[ROW][C]0.23[/C][C]1038431.80843644[/C][C]7437.90897735628[/C][/ROW]
[ROW][C]0.235[/C][C]1039235.58637741[/C][C]7533.0490803092[/C][/ROW]
[ROW][C]0.24[/C][C]1040039.85985779[/C][C]7641.971408994[/C][/ROW]
[ROW][C]0.245[/C][C]1040846.80672467[/C][C]7761.72035359622[/C][/ROW]
[ROW][C]0.25[/C][C]1041658.07239387[/C][C]7888.67702233214[/C][/ROW]
[ROW][C]0.255[/C][C]1042474.84119917[/C][C]8019.90863025484[/C][/ROW]
[ROW][C]0.26[/C][C]1043297.89885768[/C][C]8151.78118784197[/C][/ROW]
[ROW][C]0.265[/C][C]1044127.68626431[/C][C]8282.38826646503[/C][/ROW]
[ROW][C]0.27[/C][C]1044964.34535925[/C][C]8409.82552246836[/C][/ROW]
[ROW][C]0.275[/C][C]1045807.75812496[/C][C]8531.54557231232[/C][/ROW]
[ROW][C]0.28[/C][C]1046657.57991205[/C][C]8645.80781273449[/C][/ROW]
[ROW][C]0.285[/C][C]1047513.26831407[/C][C]8750.95406709757[/C][/ROW]
[ROW][C]0.29[/C][C]1048374.10874933[/C][C]8846.45842479102[/C][/ROW]
[ROW][C]0.295[/C][C]1049239.23779601[/C][C]8930.64938212876[/C][/ROW]
[ROW][C]0.3[/C][C]1050107.66518818[/C][C]9001.91537535642[/C][/ROW]
[ROW][C]0.305[/C][C]1050978.29523035[/C][C]9058.00636472023[/C][/ROW]
[ROW][C]0.31[/C][C]1051849.94823428[/C][C]9100.35436691364[/C][/ROW]
[ROW][C]0.315[/C][C]1052721.38242913[/C][C]9127.76546589806[/C][/ROW]
[ROW][C]0.32[/C][C]1053591.31664388[/C][C]9139.3921671949[/C][/ROW]
[ROW][C]0.325[/C][C]1054458.45391030[/C][C]9136.11993509272[/C][/ROW]
[ROW][C]0.33[/C][C]1055321.50598469[/C][C]9115.25663495785[/C][/ROW]
[ROW][C]0.335[/C][C]1056179.21863831[/C][C]9080.19953952737[/C][/ROW]
[ROW][C]0.34[/C][C]1057030.39742316[/C][C]9029.46766987492[/C][/ROW]
[ROW][C]0.345[/C][C]1057873.93348392[/C][C]8965.2359193146[/C][/ROW]
[ROW][C]0.35[/C][C]1058708.82886577[/C][C]8888.71839956971[/C][/ROW]
[ROW][C]0.355[/C][C]1059534.22066558[/C][C]8801.76012541755[/C][/ROW]
[ROW][C]0.36[/C][C]1060349.40329782[/C][C]8705.67400257773[/C][/ROW]
[ROW][C]0.365[/C][C]1061153.84810178[/C][C]8601.09290798593[/C][/ROW]
[ROW][C]0.37[/C][C]1061947.21950761[/C][C]8492.50394550842[/C][/ROW]
[ROW][C]0.375[/C][C]1062729.38700882[/C][C]8382.13885955499[/C][/ROW]
[ROW][C]0.38[/C][C]1063500.43225903[/C][C]8272.2887389472[/C][/ROW]
[ROW][C]0.385[/C][C]1064260.65072097[/C][C]8165.61536581146[/C][/ROW]
[ROW][C]0.39[/C][C]1065010.54744198[/C][C]8065.42319489813[/C][/ROW]
[ROW][C]0.395[/C][C]1065750.82670978[/C][C]7974.28283230611[/C][/ROW]
[ROW][C]0.4[/C][C]1066482.37554676[/C][C]7892.07491118974[/C][/ROW]
[ROW][C]0.405[/C][C]1067206.24122385[/C][C]7825.20605571459[/C][/ROW]
[ROW][C]0.41[/C][C]1067923.60320597[/C][C]7773.17046749619[/C][/ROW]
[ROW][C]0.415[/C][C]1068635.74017130[/C][C]7736.79072511426[/C][/ROW]
[ROW][C]0.42[/C][C]1069343.99296384[/C][C]7717.95827374478[/C][/ROW]
[ROW][C]0.425[/C][C]1070049.72453453[/C][C]7716.32645927037[/C][/ROW]
[ROW][C]0.43[/C][C]1070754.27808845[/C][C]7732.84887165295[/C][/ROW]
[ROW][C]0.435[/C][C]1071458.93477710[/C][C]7763.70115549902[/C][/ROW]
[ROW][C]0.44[/C][C]1072164.87234629[/C][C]7811.26004081137[/C][/ROW]
[ROW][C]0.445[/C][C]1072873.12616704[/C][C]7869.53326433832[/C][/ROW]
[ROW][C]0.45[/C][C]1073584.55403538[/C][C]7936.99092203339[/C][/ROW]
[ROW][C]0.455[/C][C]1074299.80602550[/C][C]8011.8768981863[/C][/ROW]
[ROW][C]0.46[/C][C]1075019.30052305[/C][C]8090.28960349426[/C][/ROW]
[ROW][C]0.465[/C][C]1075743.20735421[/C][C]8166.47312670239[/C][/ROW]
[ROW][C]0.47[/C][C]1076471.43867125[/C][C]8239.9168054236[/C][/ROW]
[ROW][C]0.475[/C][C]1077203.64796559[/C][C]8305.72885185782[/C][/ROW]
[ROW][C]0.48[/C][C]1077939.23726799[/C][C]8361.84392087086[/C][/ROW]
[ROW][C]0.485[/C][C]1078677.37227667[/C][C]8403.81391154137[/C][/ROW]
[ROW][C]0.49[/C][C]1079417.00484226[/C][C]8430.17293897784[/C][/ROW]
[ROW][C]0.495[/C][C]1080156.90194940[/C][C]8437.21748569622[/C][/ROW]
[ROW][C]0.5[/C][C]1080895.68008231[/C][C]8425.7176369508[/C][/ROW]
[ROW][C]0.505[/C][C]1081631.84365875[/C][C]8392.03475009407[/C][/ROW]
[ROW][C]0.51[/C][C]1082363.82607387[/C][C]8337.48466733891[/C][/ROW]
[ROW][C]0.515[/C][C]1083090.03181919[/C][C]8262.27836879714[/C][/ROW]
[ROW][C]0.52[/C][C]1083808.878137[/C][C]8165.6133807227[/C][/ROW]
[ROW][C]0.525[/C][C]1084518.83473551[/C][C]8048.56036239515[/C][/ROW]
[ROW][C]0.53[/C][C]1085218.46022144[/C][C]7912.61839434986[/C][/ROW]
[ROW][C]0.535[/C][C]1085906.43409681[/C][C]7761.04292975758[/C][/ROW]
[ROW][C]0.54[/C][C]1086581.58340354[/C][C]7595.52135819728[/C][/ROW]
[ROW][C]0.545[/C][C]1087242.90337007[/C][C]7418.47233061896[/C][/ROW]
[ROW][C]0.55[/C][C]1087889.57170317[/C][C]7230.7355156525[/C][/ROW]
[ROW][C]0.555[/C][C]1088520.95645859[/C][C]7038.37626446923[/C][/ROW]
[ROW][C]0.56[/C][C]1089136.61770167[/C][C]6840.62324153776[/C][/ROW]
[ROW][C]0.565[/C][C]1089736.30341802[/C][C]6641.35150106347[/C][/ROW]
[ROW][C]0.57[/C][C]1090319.94034340[/C][C]6443.5749868272[/C][/ROW]
[ROW][C]0.575[/C][C]1090887.62054162[/C][C]6246.38140921606[/C][/ROW]
[ROW][C]0.58[/C][C]1091439.58466386[/C][C]6056.21725318085[/C][/ROW]
[ROW][C]0.585[/C][C]1091976.20287091[/C][C]5871.3158337515[/C][/ROW]
[ROW][C]0.59[/C][C]1092497.95439244[/C][C]5692.42174927397[/C][/ROW]
[ROW][C]0.595[/C][C]1093005.40664040[/C][C]5522.13153387501[/C][/ROW]
[ROW][C]0.6[/C][C]1093499.19469519[/C][C]5359.71939195056[/C][/ROW]
[ROW][C]0.605[/C][C]1093980.00185297[/C][C]5205.81524941953[/C][/ROW]
[ROW][C]0.61[/C][C]1094448.54177255[/C][C]5061.18912390324[/C][/ROW]
[ROW][C]0.615[/C][C]1094905.5426029[/C][C]4925.73232581849[/C][/ROW]
[ROW][C]0.62[/C][C]1095351.73331755[/C][C]4798.34445060674[/C][/ROW]
[ROW][C]0.625[/C][C]1095787.83234170[/C][C]4679.99653519068[/C][/ROW]
[ROW][C]0.63[/C][C]1096214.53843818[/C][C]4568.42575391744[/C][/ROW]
[ROW][C]0.635[/C][C]1096632.52372587[/C][C]4464.70230257446[/C][/ROW]
[ROW][C]0.64[/C][C]1097042.42864006[/C][C]4367.41218031217[/C][/ROW]
[ROW][C]0.645[/C][C]1097444.85860985[/C][C]4276.73930826256[/C][/ROW]
[ROW][C]0.65[/C][C]1097840.38221824[/C][C]4191.05080820105[/C][/ROW]
[ROW][C]0.655[/C][C]1098229.53062211[/C][C]4110.94966659219[/C][/ROW]
[ROW][C]0.66[/C][C]1098612.79803524[/C][C]4037.57821255541[/C][/ROW]
[ROW][C]0.665[/C][C]1098990.64310978[/C][C]3966.94662135438[/C][/ROW]
[ROW][C]0.67[/C][C]1099363.49108363[/C][C]3901.39612879602[/C][/ROW]
[ROW][C]0.675[/C][C]1099731.73658664[/C][C]3839.80444667472[/C][/ROW]
[ROW][C]0.68[/C][C]1100095.74701214[/C][C]3781.59715072666[/C][/ROW]
[ROW][C]0.685[/C][C]1100455.86636041[/C][C]3727.03082588002[/C][/ROW]
[ROW][C]0.69[/C][C]1100812.41944556[/C][C]3673.95351947172[/C][/ROW]
[ROW][C]0.695[/C][C]1101165.71633138[/C][C]3624.66548508797[/C][/ROW]
[ROW][C]0.7[/C][C]1101516.05682733[/C][C]3576.92132355065[/C][/ROW]
[ROW][C]0.705[/C][C]1101863.73484069[/C][C]3531.7119358583[/C][/ROW]
[ROW][C]0.71[/C][C]1102209.04235221[/C][C]3489.56802398603[/C][/ROW]
[ROW][C]0.715[/C][C]1102552.27276687[/C][C]3448.70415822356[/C][/ROW]
[ROW][C]0.72[/C][C]1102893.72339678[/C][C]3410.73997848819[/C][/ROW]
[ROW][C]0.725[/C][C]1103233.69686258[/C][C]3375.47214687518[/C][/ROW]
[ROW][C]0.73[/C][C]1103572.50125740[/C][C]3342.15173444395[/C][/ROW]
[ROW][C]0.735[/C][C]1103910.44900008[/C][C]3312.05467685065[/C][/ROW]
[ROW][C]0.74[/C][C]1104247.85440841[/C][C]3284.27107074017[/C][/ROW]
[ROW][C]0.745[/C][C]1104585.03013997[/C][C]3260.15709252686[/C][/ROW]
[ROW][C]0.75[/C][C]1104922.28276587[/C][C]3238.48148075245[/C][/ROW]
[ROW][C]0.755[/C][C]1105259.90784855[/C][C]3219.47096097293[/C][/ROW]
[ROW][C]0.76[/C][C]1105598.18497392[/C][C]3203.06608157898[/C][/ROW]
[ROW][C]0.765[/C][C]1105937.37322849[/C][C]3188.14189749653[/C][/ROW]
[ROW][C]0.77[/C][C]1106277.70760303[/C][C]3175.58308594173[/C][/ROW]
[ROW][C]0.775[/C][C]1106619.39674077[/C][C]3164.12529434731[/C][/ROW]
[ROW][C]0.78[/C][C]1106962.62233193[/C][C]3153.09157068932[/C][/ROW]
[ROW][C]0.785[/C][C]1107307.54029537[/C][C]3142.60282773729[/C][/ROW]
[ROW][C]0.79[/C][C]1107654.28369917[/C][C]3132.89680396799[/C][/ROW]
[ROW][C]0.795[/C][C]1108002.96717741[/C][C]3121.9770585976[/C][/ROW]
[ROW][C]0.8[/C][C]1108353.69242764[/C][C]3109.57097426922[/C][/ROW]
[ROW][C]0.805[/C][C]1108706.55425043[/C][C]3097.30288803526[/C][/ROW]
[ROW][C]0.81[/C][C]1109061.64654394[/C][C]3083.89528001338[/C][/ROW]
[ROW][C]0.815[/C][C]1109419.06770766[/C][C]3069.84958046884[/C][/ROW]
[ROW][C]0.82[/C][C]1109778.92504322[/C][C]3055.1577348972[/C][/ROW]
[ROW][C]0.825[/C][C]1110141.33794879[/C][C]3039.68157386231[/C][/ROW]
[ROW][C]0.83[/C][C]1110506.43995181[/C][C]3024.86588734745[/C][/ROW]
[ROW][C]0.835[/C][C]1110874.37985592[/C][C]3009.60419420959[/C][/ROW]
[ROW][C]0.84[/C][C]1111245.32242440[/C][C]2994.30784301612[/C][/ROW]
[ROW][C]0.845[/C][C]1111619.44901310[/C][C]2978.94144823389[/C][/ROW]
[ROW][C]0.85[/C][C]1111996.95834521[/C][C]2963.41238432811[/C][/ROW]
[ROW][C]0.855[/C][C]1112378.06716650[/C][C]2947.75223957607[/C][/ROW]
[ROW][C]0.86[/C][C]1112763.00986820[/C][C]2931.90400653268[/C][/ROW]
[ROW][C]0.865[/C][C]1113152.03542378[/C][C]2914.85303134469[/C][/ROW]
[ROW][C]0.87[/C][C]1113545.39934774[/C][C]2897.83852052175[/C][/ROW]
[ROW][C]0.875[/C][C]1113943.34811333[/C][C]2879.88046535418[/C][/ROW]
[ROW][C]0.88[/C][C]1114346.09386904[/C][C]2862.30898960083[/C][/ROW]
[ROW][C]0.885[/C][C]1114753.77865278[/C][C]2843.82338951522[/C][/ROW]
[ROW][C]0.89[/C][C]1115166.42978544[/C][C]2825.16581778450[/C][/ROW]
[ROW][C]0.895[/C][C]1115583.91166419[/C][C]2805.55747623775[/C][/ROW]
[ROW][C]0.9[/C][C]1116005.88334493[/C][C]2783.41518364800[/C][/ROW]
[ROW][C]0.905[/C][C]1116431.77522617[/C][C]2756.80545773082[/C][/ROW]
[ROW][C]0.91[/C][C]1116860.80047351[/C][C]2723.36382225735[/C][/ROW]
[ROW][C]0.915[/C][C]1117292.01585101[/C][C]2679.06943845801[/C][/ROW]
[ROW][C]0.92[/C][C]1117724.44059742[/C][C]2622.44225657315[/C][/ROW]
[ROW][C]0.925[/C][C]1118157.22963098[/C][C]2550.53040859083[/C][/ROW]
[ROW][C]0.93[/C][C]1118589.87863302[/C][C]2463.38299299836[/C][/ROW]
[ROW][C]0.935[/C][C]1119022.41543129[/C][C]2364.35769816189[/C][/ROW]
[ROW][C]0.94[/C][C]1119455.50925102[/C][C]2259.02861516158[/C][/ROW]
[ROW][C]0.945[/C][C]1119890.41429657[/C][C]2155.74903816578[/C][/ROW]
[ROW][C]0.95[/C][C]1120328.66617340[/C][C]2064.09036457110[/C][/ROW]
[ROW][C]0.955[/C][C]1120771.47803828[/C][C]1990.98601351579[/C][/ROW]
[ROW][C]0.96[/C][C]1121218.84364846[/C][C]1936.15844824591[/C][/ROW]
[ROW][C]0.965[/C][C]1121668.44475435[/C][C]1887.97068275875[/C][/ROW]
[ROW][C]0.97[/C][C]1122114.56821058[/C][C]1823.98549915655[/C][/ROW]
[ROW][C]0.975[/C][C]1122547.34074115[/C][C]1716.70421258946[/C][/ROW]
[ROW][C]0.98[/C][C]1122952.65604901[/C][C]1544.23779074898[/C][/ROW]
[ROW][C]0.985[/C][C]1123313.16744551[/C][C]1302.75905368382[/C][/ROW]
[ROW][C]0.99[/C][C]1123610.61812647[/C][C]1017.50004169173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49861&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49861&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01959101.5002090074011.23991942011
0.015960195.6059042464535.32616988873
0.02961490.2473967265133.87444143821
0.025962932.8616528485753.01457621048
0.03964484.261519266378.94930988837
0.035966120.7729330087036.25105289217
0.04967832.7647263347766.46384521522
0.045969621.500512598609.07821765888
0.05971495.461775179588.70609162378
0.055973466.7294076410702.5598633749
0.06975547.71365562511926.0754703074
0.065977748.39938241613217.9512378286
0.07980074.22388147814524.9997254947
0.075982524.6654556215789.1459427009
0.08985092.57036891516954.4724042136
0.085987764.18605673517969.8677921909
0.09990519.8111583118793.0792214935
0.095993334.92865852719393.6637405415
0.1996181.66303296819752.9066550277
0.105999030.39663398319865.6905471735
0.111001851.3919341519737.6919141121
0.1151004616.2901083019386.7820192069
0.121007299.3877572918837.5134245232
0.1251009878.6277242418121.6956514264
0.131012336.2731492417275.0336675560
0.1351014659.2633923216336.1784534680
0.141016839.2744677615341.9976325494
0.1451018872.5243054014327.6565068297
0.151020759.3743491213324.9196671695
0.1551022503.7841423612361.6858334510
0.161024112.6754565711460.265499438
0.1651025595.2582558710637.3323358461
0.171026962.363531809905.18756267118
0.1751028225.818956919270.34864628059
0.181029397.893465188735.51785754848
0.1851030490.827185938296.58759183594
0.191031516.454342357949.96861826014
0.1951032485.919268657687.99742152953
0.21033409.479874417500.43642580261
0.2051034296.388774137378.38045213857
0.211035154.83982797312.57466996103
0.2151035991.966810397292.82210571681
0.221036813.881074907312.7896134046
0.2251037625.736103577362.48872716311
0.231038431.808436447437.90897735628
0.2351039235.586377417533.0490803092
0.241040039.859857797641.971408994
0.2451040846.806724677761.72035359622
0.251041658.072393877888.67702233214
0.2551042474.841199178019.90863025484
0.261043297.898857688151.78118784197
0.2651044127.686264318282.38826646503
0.271044964.345359258409.82552246836
0.2751045807.758124968531.54557231232
0.281046657.579912058645.80781273449
0.2851047513.268314078750.95406709757
0.291048374.108749338846.45842479102
0.2951049239.237796018930.64938212876
0.31050107.665188189001.91537535642
0.3051050978.295230359058.00636472023
0.311051849.948234289100.35436691364
0.3151052721.382429139127.76546589806
0.321053591.316643889139.3921671949
0.3251054458.453910309136.11993509272
0.331055321.505984699115.25663495785
0.3351056179.218638319080.19953952737
0.341057030.397423169029.46766987492
0.3451057873.933483928965.2359193146
0.351058708.828865778888.71839956971
0.3551059534.220665588801.76012541755
0.361060349.403297828705.67400257773
0.3651061153.848101788601.09290798593
0.371061947.219507618492.50394550842
0.3751062729.387008828382.13885955499
0.381063500.432259038272.2887389472
0.3851064260.650720978165.61536581146
0.391065010.547441988065.42319489813
0.3951065750.826709787974.28283230611
0.41066482.375546767892.07491118974
0.4051067206.241223857825.20605571459
0.411067923.603205977773.17046749619
0.4151068635.740171307736.79072511426
0.421069343.992963847717.95827374478
0.4251070049.724534537716.32645927037
0.431070754.278088457732.84887165295
0.4351071458.934777107763.70115549902
0.441072164.872346297811.26004081137
0.4451072873.126167047869.53326433832
0.451073584.554035387936.99092203339
0.4551074299.806025508011.8768981863
0.461075019.300523058090.28960349426
0.4651075743.207354218166.47312670239
0.471076471.438671258239.9168054236
0.4751077203.647965598305.72885185782
0.481077939.237267998361.84392087086
0.4851078677.372276678403.81391154137
0.491079417.004842268430.17293897784
0.4951080156.901949408437.21748569622
0.51080895.680082318425.7176369508
0.5051081631.843658758392.03475009407
0.511082363.826073878337.48466733891
0.5151083090.031819198262.27836879714
0.521083808.8781378165.6133807227
0.5251084518.834735518048.56036239515
0.531085218.460221447912.61839434986
0.5351085906.434096817761.04292975758
0.541086581.583403547595.52135819728
0.5451087242.903370077418.47233061896
0.551087889.571703177230.7355156525
0.5551088520.956458597038.37626446923
0.561089136.617701676840.62324153776
0.5651089736.303418026641.35150106347
0.571090319.940343406443.5749868272
0.5751090887.620541626246.38140921606
0.581091439.584663866056.21725318085
0.5851091976.202870915871.3158337515
0.591092497.954392445692.42174927397
0.5951093005.406640405522.13153387501
0.61093499.194695195359.71939195056
0.6051093980.001852975205.81524941953
0.611094448.541772555061.18912390324
0.6151094905.54260294925.73232581849
0.621095351.733317554798.34445060674
0.6251095787.832341704679.99653519068
0.631096214.538438184568.42575391744
0.6351096632.523725874464.70230257446
0.641097042.428640064367.41218031217
0.6451097444.858609854276.73930826256
0.651097840.382218244191.05080820105
0.6551098229.530622114110.94966659219
0.661098612.798035244037.57821255541
0.6651098990.643109783966.94662135438
0.671099363.491083633901.39612879602
0.6751099731.736586643839.80444667472
0.681100095.747012143781.59715072666
0.6851100455.866360413727.03082588002
0.691100812.419445563673.95351947172
0.6951101165.716331383624.66548508797
0.71101516.056827333576.92132355065
0.7051101863.734840693531.7119358583
0.711102209.042352213489.56802398603
0.7151102552.272766873448.70415822356
0.721102893.723396783410.73997848819
0.7251103233.696862583375.47214687518
0.731103572.501257403342.15173444395
0.7351103910.449000083312.05467685065
0.741104247.854408413284.27107074017
0.7451104585.030139973260.15709252686
0.751104922.282765873238.48148075245
0.7551105259.907848553219.47096097293
0.761105598.184973923203.06608157898
0.7651105937.373228493188.14189749653
0.771106277.707603033175.58308594173
0.7751106619.396740773164.12529434731
0.781106962.622331933153.09157068932
0.7851107307.540295373142.60282773729
0.791107654.283699173132.89680396799
0.7951108002.967177413121.9770585976
0.81108353.692427643109.57097426922
0.8051108706.554250433097.30288803526
0.811109061.646543943083.89528001338
0.8151109419.067707663069.84958046884
0.821109778.925043223055.1577348972
0.8251110141.337948793039.68157386231
0.831110506.439951813024.86588734745
0.8351110874.379855923009.60419420959
0.841111245.322424402994.30784301612
0.8451111619.449013102978.94144823389
0.851111996.958345212963.41238432811
0.8551112378.067166502947.75223957607
0.861112763.009868202931.90400653268
0.8651113152.035423782914.85303134469
0.871113545.399347742897.83852052175
0.8751113943.348113332879.88046535418
0.881114346.093869042862.30898960083
0.8851114753.778652782843.82338951522
0.891115166.429785442825.16581778450
0.8951115583.911664192805.55747623775
0.91116005.883344932783.41518364800
0.9051116431.775226172756.80545773082
0.911116860.800473512723.36382225735
0.9151117292.015851012679.06943845801
0.921117724.440597422622.44225657315
0.9251118157.229630982550.53040859083
0.931118589.878633022463.38299299836
0.9351119022.415431292364.35769816189
0.941119455.509251022259.02861516158
0.9451119890.414296572155.74903816578
0.951120328.666173402064.09036457110
0.9551120771.478038281990.98601351579
0.961121218.843648461936.15844824591
0.9651121668.444754351887.97068275875
0.971122114.568210581823.98549915655
0.9751122547.340741151716.70421258946
0.981122952.656049011544.23779074898
0.9851123313.167445511302.75905368382
0.991123610.618126471017.50004169173


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')