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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 08:59:07 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t1268064056olf4ozb8zorc3bw.htm/, Retrieved Fri, 28 Jan 2022 09:05:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74147, Retrieved Fri, 28 Jan 2022 09:05:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-03-08 15:59:07] [a1c0563c4f28de3d0d1958a3be552dbb] [Current]
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Dataseries X:
66857,20
64722,80
68489,60
71342,90
63542,50
69425,00
58927,90
61009,00
66837,00
66147,60
65982,30
65527,50
65914,60
59189,90
66211,40
66400,80
60167,70
64547,90
57706,20
58642,60
60082,10
63414,80
66044,00
57628,50
62838,80
55758,60
61004,50
66173,40
57489,00
59552,20
57061,80
55895,30
56314,70
61232,80
60014,10
57685,40
60403,10
52349,70
55693,30
65676,10
54898,80
55518,20
53779,10
52340,90
55704,40
60330,30
52837,40
55388,10
60383,40
52070,30
54077,00
62887,80
49212,80
57722,00
53936,80
46991,00
54984,20
56485,10
51277,80
53596,40
54252,50
49413,00
53213,20
58695,30
48723,50
54510,00
49454,10
46136,60
54622,50
50583,00
53224,30
53056,40




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74147&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74147&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74147&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146501.10741886321002.55611383490
0.0247103.26609045251175.55872409927
0.0347767.84784021391184.90623107811
0.0448378.15386159291071.42624495132
0.0548898.0975018781970.109524509656
0.0649342.6383958102960.626589045139
0.0749743.54439929381028.27026133297
0.0850126.95233605441116.27368816769
0.0950504.89827334391178.56906993779
0.150876.74266161911193.43285866268
0.1151234.87853003181160.08132585787
0.1251570.46171402711090.62721720399
0.1351877.11337603351002.29108520236
0.1452152.3041108641911.135599477365
0.1552397.0522529352828.533818935513
0.1652614.7981281742760.584509952003
0.1752810.1472348633708.779376582222
0.1852987.8733056453671.938620858438
0.1953152.3041264671647.681471592447
0.253307.0468761012633.276412040765
0.2153454.9439654177626.267848177182
0.2253598.1509725393624.828116310273
0.2353738.2581615506627.310468158142
0.2453876.4106562515632.52037904657
0.2554013.4080146552639.671599089207
0.2654149.7798646729647.557588561143
0.2754285.8427453489655.787527669486
0.2854421.7469947046663.639182694674
0.2954557.5229403781670.587918165062
0.354693.1333757041676.39379699561
0.3154828.5348217676681.296231385072
0.3254963.744335501685.7285207095
0.3355098.9031213365690.652702004131
0.3455234.3246339826697.45966681983
0.3555370.5145843996707.392016337588
0.3655508.1538309946721.866962888471
0.3755648.042035933741.41445992733
0.3855791.0086520176765.973726283296
0.3955937.8060664138794.77924120569
0.456089.0052552113825.91930584588
0.4156244.9153461407857.584888904811
0.4256405.5443944116887.502521298324
0.4356570.6101579167913.97824724671
0.4456739.5986617507935.778260711046
0.4556911.85756754952.486782811195
0.4657086.703535004964.552233512288
0.4757263.5198810746972.859565190664
0.4857441.8236312789978.939360683933
0.4957621.2887872474983.864935246913
0.557801.7233462349988.581242592498
0.5157983.0086856359993.270492511337
0.5258165.0188009069997.569083171613
0.5358347.54168196741000.37267018632
0.5458530.22502836781000.43900720580
0.5558712.5638592421996.591207382043
0.5658893.9395700694987.969628581524
0.5759073.7102873257974.404452874356
0.5859251.3426785212956.831007820135
0.5959426.5671349788936.81379143915
0.659599.5325198503917.237126118412
0.6159770.9341581528901.555815727383
0.6259942.0898373337893.784230574945
0.6360114.94342371897.937406883551
0.6460291.9840999343917.107268474229
0.6560476.0805435005953.280786918456
0.6660670.24232204511006.22794184327
0.6760877.3334190251073.89428504453
0.6861099.77264467711152.35160631942
0.6961339.26019489741236.30255991738
0.761596.56692579251319.75565249777
0.7161871.41263050711396.79814598100
0.7262162.44343873171461.98947673819
0.7362467.3002177061510.84028331494
0.7462782.75465499491540.21260959229
0.7563104.8823959771547.99705858708
0.7663429.24585339711533.23786092530
0.7763751.07208811971495.70818526886
0.7864065.42854657111435.89637340422
0.7964367.41402709251354.78907981035
0.864652.38702307991254.36644766332
0.8164916.24515314771137.79732893681
0.8265155.75000471009.38760060531
0.8365368.8689826388875.013830389369
0.8465555.0896724676741.447296868328
0.8565715.6610463896616.081343839921
0.8665853.7331095842506.136787558193
0.8765974.4013086839418.49138404581
0.8866084.7105890168359.5379892218
0.8966193.7274420002334.985486704261
0.966312.8176515502348.951203076446
0.9166456.204523085403.816793974508
0.9266641.6416857694502.505250382722
0.9366890.6516777108647.963374039477
0.9467227.637435438835.340599026797
0.9567677.84087758671041.30175550945
0.9668264.80995594871225.38569865734
0.9769003.90140545871360.62906626239
0.9869874.26770550411486.84720179501
0.9970748.65684236051684.95710835782

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46501.1074188632 & 1002.55611383490 \tabularnewline
0.02 & 47103.2660904525 & 1175.55872409927 \tabularnewline
0.03 & 47767.8478402139 & 1184.90623107811 \tabularnewline
0.04 & 48378.1538615929 & 1071.42624495132 \tabularnewline
0.05 & 48898.0975018781 & 970.109524509656 \tabularnewline
0.06 & 49342.6383958102 & 960.626589045139 \tabularnewline
0.07 & 49743.5443992938 & 1028.27026133297 \tabularnewline
0.08 & 50126.9523360544 & 1116.27368816769 \tabularnewline
0.09 & 50504.8982733439 & 1178.56906993779 \tabularnewline
0.1 & 50876.7426616191 & 1193.43285866268 \tabularnewline
0.11 & 51234.8785300318 & 1160.08132585787 \tabularnewline
0.12 & 51570.4617140271 & 1090.62721720399 \tabularnewline
0.13 & 51877.1133760335 & 1002.29108520236 \tabularnewline
0.14 & 52152.3041108641 & 911.135599477365 \tabularnewline
0.15 & 52397.0522529352 & 828.533818935513 \tabularnewline
0.16 & 52614.7981281742 & 760.584509952003 \tabularnewline
0.17 & 52810.1472348633 & 708.779376582222 \tabularnewline
0.18 & 52987.8733056453 & 671.938620858438 \tabularnewline
0.19 & 53152.3041264671 & 647.681471592447 \tabularnewline
0.2 & 53307.0468761012 & 633.276412040765 \tabularnewline
0.21 & 53454.9439654177 & 626.267848177182 \tabularnewline
0.22 & 53598.1509725393 & 624.828116310273 \tabularnewline
0.23 & 53738.2581615506 & 627.310468158142 \tabularnewline
0.24 & 53876.4106562515 & 632.52037904657 \tabularnewline
0.25 & 54013.4080146552 & 639.671599089207 \tabularnewline
0.26 & 54149.7798646729 & 647.557588561143 \tabularnewline
0.27 & 54285.8427453489 & 655.787527669486 \tabularnewline
0.28 & 54421.7469947046 & 663.639182694674 \tabularnewline
0.29 & 54557.5229403781 & 670.587918165062 \tabularnewline
0.3 & 54693.1333757041 & 676.39379699561 \tabularnewline
0.31 & 54828.5348217676 & 681.296231385072 \tabularnewline
0.32 & 54963.744335501 & 685.7285207095 \tabularnewline
0.33 & 55098.9031213365 & 690.652702004131 \tabularnewline
0.34 & 55234.3246339826 & 697.45966681983 \tabularnewline
0.35 & 55370.5145843996 & 707.392016337588 \tabularnewline
0.36 & 55508.1538309946 & 721.866962888471 \tabularnewline
0.37 & 55648.042035933 & 741.41445992733 \tabularnewline
0.38 & 55791.0086520176 & 765.973726283296 \tabularnewline
0.39 & 55937.8060664138 & 794.77924120569 \tabularnewline
0.4 & 56089.0052552113 & 825.91930584588 \tabularnewline
0.41 & 56244.9153461407 & 857.584888904811 \tabularnewline
0.42 & 56405.5443944116 & 887.502521298324 \tabularnewline
0.43 & 56570.6101579167 & 913.97824724671 \tabularnewline
0.44 & 56739.5986617507 & 935.778260711046 \tabularnewline
0.45 & 56911.85756754 & 952.486782811195 \tabularnewline
0.46 & 57086.703535004 & 964.552233512288 \tabularnewline
0.47 & 57263.5198810746 & 972.859565190664 \tabularnewline
0.48 & 57441.8236312789 & 978.939360683933 \tabularnewline
0.49 & 57621.2887872474 & 983.864935246913 \tabularnewline
0.5 & 57801.7233462349 & 988.581242592498 \tabularnewline
0.51 & 57983.0086856359 & 993.270492511337 \tabularnewline
0.52 & 58165.0188009069 & 997.569083171613 \tabularnewline
0.53 & 58347.5416819674 & 1000.37267018632 \tabularnewline
0.54 & 58530.2250283678 & 1000.43900720580 \tabularnewline
0.55 & 58712.5638592421 & 996.591207382043 \tabularnewline
0.56 & 58893.9395700694 & 987.969628581524 \tabularnewline
0.57 & 59073.7102873257 & 974.404452874356 \tabularnewline
0.58 & 59251.3426785212 & 956.831007820135 \tabularnewline
0.59 & 59426.5671349788 & 936.81379143915 \tabularnewline
0.6 & 59599.5325198503 & 917.237126118412 \tabularnewline
0.61 & 59770.9341581528 & 901.555815727383 \tabularnewline
0.62 & 59942.0898373337 & 893.784230574945 \tabularnewline
0.63 & 60114.94342371 & 897.937406883551 \tabularnewline
0.64 & 60291.9840999343 & 917.107268474229 \tabularnewline
0.65 & 60476.0805435005 & 953.280786918456 \tabularnewline
0.66 & 60670.2423220451 & 1006.22794184327 \tabularnewline
0.67 & 60877.333419025 & 1073.89428504453 \tabularnewline
0.68 & 61099.7726446771 & 1152.35160631942 \tabularnewline
0.69 & 61339.2601948974 & 1236.30255991738 \tabularnewline
0.7 & 61596.5669257925 & 1319.75565249777 \tabularnewline
0.71 & 61871.4126305071 & 1396.79814598100 \tabularnewline
0.72 & 62162.4434387317 & 1461.98947673819 \tabularnewline
0.73 & 62467.300217706 & 1510.84028331494 \tabularnewline
0.74 & 62782.7546549949 & 1540.21260959229 \tabularnewline
0.75 & 63104.882395977 & 1547.99705858708 \tabularnewline
0.76 & 63429.2458533971 & 1533.23786092530 \tabularnewline
0.77 & 63751.0720881197 & 1495.70818526886 \tabularnewline
0.78 & 64065.4285465711 & 1435.89637340422 \tabularnewline
0.79 & 64367.4140270925 & 1354.78907981035 \tabularnewline
0.8 & 64652.3870230799 & 1254.36644766332 \tabularnewline
0.81 & 64916.2451531477 & 1137.79732893681 \tabularnewline
0.82 & 65155.7500047 & 1009.38760060531 \tabularnewline
0.83 & 65368.8689826388 & 875.013830389369 \tabularnewline
0.84 & 65555.0896724676 & 741.447296868328 \tabularnewline
0.85 & 65715.6610463896 & 616.081343839921 \tabularnewline
0.86 & 65853.7331095842 & 506.136787558193 \tabularnewline
0.87 & 65974.4013086839 & 418.49138404581 \tabularnewline
0.88 & 66084.7105890168 & 359.5379892218 \tabularnewline
0.89 & 66193.7274420002 & 334.985486704261 \tabularnewline
0.9 & 66312.8176515502 & 348.951203076446 \tabularnewline
0.91 & 66456.204523085 & 403.816793974508 \tabularnewline
0.92 & 66641.6416857694 & 502.505250382722 \tabularnewline
0.93 & 66890.6516777108 & 647.963374039477 \tabularnewline
0.94 & 67227.637435438 & 835.340599026797 \tabularnewline
0.95 & 67677.8408775867 & 1041.30175550945 \tabularnewline
0.96 & 68264.8099559487 & 1225.38569865734 \tabularnewline
0.97 & 69003.9014054587 & 1360.62906626239 \tabularnewline
0.98 & 69874.2677055041 & 1486.84720179501 \tabularnewline
0.99 & 70748.6568423605 & 1684.95710835782 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74147&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]46501.1074188632[/C][C]1002.55611383490[/C][/ROW]
[ROW][C]0.02[/C][C]47103.2660904525[/C][C]1175.55872409927[/C][/ROW]
[ROW][C]0.03[/C][C]47767.8478402139[/C][C]1184.90623107811[/C][/ROW]
[ROW][C]0.04[/C][C]48378.1538615929[/C][C]1071.42624495132[/C][/ROW]
[ROW][C]0.05[/C][C]48898.0975018781[/C][C]970.109524509656[/C][/ROW]
[ROW][C]0.06[/C][C]49342.6383958102[/C][C]960.626589045139[/C][/ROW]
[ROW][C]0.07[/C][C]49743.5443992938[/C][C]1028.27026133297[/C][/ROW]
[ROW][C]0.08[/C][C]50126.9523360544[/C][C]1116.27368816769[/C][/ROW]
[ROW][C]0.09[/C][C]50504.8982733439[/C][C]1178.56906993779[/C][/ROW]
[ROW][C]0.1[/C][C]50876.7426616191[/C][C]1193.43285866268[/C][/ROW]
[ROW][C]0.11[/C][C]51234.8785300318[/C][C]1160.08132585787[/C][/ROW]
[ROW][C]0.12[/C][C]51570.4617140271[/C][C]1090.62721720399[/C][/ROW]
[ROW][C]0.13[/C][C]51877.1133760335[/C][C]1002.29108520236[/C][/ROW]
[ROW][C]0.14[/C][C]52152.3041108641[/C][C]911.135599477365[/C][/ROW]
[ROW][C]0.15[/C][C]52397.0522529352[/C][C]828.533818935513[/C][/ROW]
[ROW][C]0.16[/C][C]52614.7981281742[/C][C]760.584509952003[/C][/ROW]
[ROW][C]0.17[/C][C]52810.1472348633[/C][C]708.779376582222[/C][/ROW]
[ROW][C]0.18[/C][C]52987.8733056453[/C][C]671.938620858438[/C][/ROW]
[ROW][C]0.19[/C][C]53152.3041264671[/C][C]647.681471592447[/C][/ROW]
[ROW][C]0.2[/C][C]53307.0468761012[/C][C]633.276412040765[/C][/ROW]
[ROW][C]0.21[/C][C]53454.9439654177[/C][C]626.267848177182[/C][/ROW]
[ROW][C]0.22[/C][C]53598.1509725393[/C][C]624.828116310273[/C][/ROW]
[ROW][C]0.23[/C][C]53738.2581615506[/C][C]627.310468158142[/C][/ROW]
[ROW][C]0.24[/C][C]53876.4106562515[/C][C]632.52037904657[/C][/ROW]
[ROW][C]0.25[/C][C]54013.4080146552[/C][C]639.671599089207[/C][/ROW]
[ROW][C]0.26[/C][C]54149.7798646729[/C][C]647.557588561143[/C][/ROW]
[ROW][C]0.27[/C][C]54285.8427453489[/C][C]655.787527669486[/C][/ROW]
[ROW][C]0.28[/C][C]54421.7469947046[/C][C]663.639182694674[/C][/ROW]
[ROW][C]0.29[/C][C]54557.5229403781[/C][C]670.587918165062[/C][/ROW]
[ROW][C]0.3[/C][C]54693.1333757041[/C][C]676.39379699561[/C][/ROW]
[ROW][C]0.31[/C][C]54828.5348217676[/C][C]681.296231385072[/C][/ROW]
[ROW][C]0.32[/C][C]54963.744335501[/C][C]685.7285207095[/C][/ROW]
[ROW][C]0.33[/C][C]55098.9031213365[/C][C]690.652702004131[/C][/ROW]
[ROW][C]0.34[/C][C]55234.3246339826[/C][C]697.45966681983[/C][/ROW]
[ROW][C]0.35[/C][C]55370.5145843996[/C][C]707.392016337588[/C][/ROW]
[ROW][C]0.36[/C][C]55508.1538309946[/C][C]721.866962888471[/C][/ROW]
[ROW][C]0.37[/C][C]55648.042035933[/C][C]741.41445992733[/C][/ROW]
[ROW][C]0.38[/C][C]55791.0086520176[/C][C]765.973726283296[/C][/ROW]
[ROW][C]0.39[/C][C]55937.8060664138[/C][C]794.77924120569[/C][/ROW]
[ROW][C]0.4[/C][C]56089.0052552113[/C][C]825.91930584588[/C][/ROW]
[ROW][C]0.41[/C][C]56244.9153461407[/C][C]857.584888904811[/C][/ROW]
[ROW][C]0.42[/C][C]56405.5443944116[/C][C]887.502521298324[/C][/ROW]
[ROW][C]0.43[/C][C]56570.6101579167[/C][C]913.97824724671[/C][/ROW]
[ROW][C]0.44[/C][C]56739.5986617507[/C][C]935.778260711046[/C][/ROW]
[ROW][C]0.45[/C][C]56911.85756754[/C][C]952.486782811195[/C][/ROW]
[ROW][C]0.46[/C][C]57086.703535004[/C][C]964.552233512288[/C][/ROW]
[ROW][C]0.47[/C][C]57263.5198810746[/C][C]972.859565190664[/C][/ROW]
[ROW][C]0.48[/C][C]57441.8236312789[/C][C]978.939360683933[/C][/ROW]
[ROW][C]0.49[/C][C]57621.2887872474[/C][C]983.864935246913[/C][/ROW]
[ROW][C]0.5[/C][C]57801.7233462349[/C][C]988.581242592498[/C][/ROW]
[ROW][C]0.51[/C][C]57983.0086856359[/C][C]993.270492511337[/C][/ROW]
[ROW][C]0.52[/C][C]58165.0188009069[/C][C]997.569083171613[/C][/ROW]
[ROW][C]0.53[/C][C]58347.5416819674[/C][C]1000.37267018632[/C][/ROW]
[ROW][C]0.54[/C][C]58530.2250283678[/C][C]1000.43900720580[/C][/ROW]
[ROW][C]0.55[/C][C]58712.5638592421[/C][C]996.591207382043[/C][/ROW]
[ROW][C]0.56[/C][C]58893.9395700694[/C][C]987.969628581524[/C][/ROW]
[ROW][C]0.57[/C][C]59073.7102873257[/C][C]974.404452874356[/C][/ROW]
[ROW][C]0.58[/C][C]59251.3426785212[/C][C]956.831007820135[/C][/ROW]
[ROW][C]0.59[/C][C]59426.5671349788[/C][C]936.81379143915[/C][/ROW]
[ROW][C]0.6[/C][C]59599.5325198503[/C][C]917.237126118412[/C][/ROW]
[ROW][C]0.61[/C][C]59770.9341581528[/C][C]901.555815727383[/C][/ROW]
[ROW][C]0.62[/C][C]59942.0898373337[/C][C]893.784230574945[/C][/ROW]
[ROW][C]0.63[/C][C]60114.94342371[/C][C]897.937406883551[/C][/ROW]
[ROW][C]0.64[/C][C]60291.9840999343[/C][C]917.107268474229[/C][/ROW]
[ROW][C]0.65[/C][C]60476.0805435005[/C][C]953.280786918456[/C][/ROW]
[ROW][C]0.66[/C][C]60670.2423220451[/C][C]1006.22794184327[/C][/ROW]
[ROW][C]0.67[/C][C]60877.333419025[/C][C]1073.89428504453[/C][/ROW]
[ROW][C]0.68[/C][C]61099.7726446771[/C][C]1152.35160631942[/C][/ROW]
[ROW][C]0.69[/C][C]61339.2601948974[/C][C]1236.30255991738[/C][/ROW]
[ROW][C]0.7[/C][C]61596.5669257925[/C][C]1319.75565249777[/C][/ROW]
[ROW][C]0.71[/C][C]61871.4126305071[/C][C]1396.79814598100[/C][/ROW]
[ROW][C]0.72[/C][C]62162.4434387317[/C][C]1461.98947673819[/C][/ROW]
[ROW][C]0.73[/C][C]62467.300217706[/C][C]1510.84028331494[/C][/ROW]
[ROW][C]0.74[/C][C]62782.7546549949[/C][C]1540.21260959229[/C][/ROW]
[ROW][C]0.75[/C][C]63104.882395977[/C][C]1547.99705858708[/C][/ROW]
[ROW][C]0.76[/C][C]63429.2458533971[/C][C]1533.23786092530[/C][/ROW]
[ROW][C]0.77[/C][C]63751.0720881197[/C][C]1495.70818526886[/C][/ROW]
[ROW][C]0.78[/C][C]64065.4285465711[/C][C]1435.89637340422[/C][/ROW]
[ROW][C]0.79[/C][C]64367.4140270925[/C][C]1354.78907981035[/C][/ROW]
[ROW][C]0.8[/C][C]64652.3870230799[/C][C]1254.36644766332[/C][/ROW]
[ROW][C]0.81[/C][C]64916.2451531477[/C][C]1137.79732893681[/C][/ROW]
[ROW][C]0.82[/C][C]65155.7500047[/C][C]1009.38760060531[/C][/ROW]
[ROW][C]0.83[/C][C]65368.8689826388[/C][C]875.013830389369[/C][/ROW]
[ROW][C]0.84[/C][C]65555.0896724676[/C][C]741.447296868328[/C][/ROW]
[ROW][C]0.85[/C][C]65715.6610463896[/C][C]616.081343839921[/C][/ROW]
[ROW][C]0.86[/C][C]65853.7331095842[/C][C]506.136787558193[/C][/ROW]
[ROW][C]0.87[/C][C]65974.4013086839[/C][C]418.49138404581[/C][/ROW]
[ROW][C]0.88[/C][C]66084.7105890168[/C][C]359.5379892218[/C][/ROW]
[ROW][C]0.89[/C][C]66193.7274420002[/C][C]334.985486704261[/C][/ROW]
[ROW][C]0.9[/C][C]66312.8176515502[/C][C]348.951203076446[/C][/ROW]
[ROW][C]0.91[/C][C]66456.204523085[/C][C]403.816793974508[/C][/ROW]
[ROW][C]0.92[/C][C]66641.6416857694[/C][C]502.505250382722[/C][/ROW]
[ROW][C]0.93[/C][C]66890.6516777108[/C][C]647.963374039477[/C][/ROW]
[ROW][C]0.94[/C][C]67227.637435438[/C][C]835.340599026797[/C][/ROW]
[ROW][C]0.95[/C][C]67677.8408775867[/C][C]1041.30175550945[/C][/ROW]
[ROW][C]0.96[/C][C]68264.8099559487[/C][C]1225.38569865734[/C][/ROW]
[ROW][C]0.97[/C][C]69003.9014054587[/C][C]1360.62906626239[/C][/ROW]
[ROW][C]0.98[/C][C]69874.2677055041[/C][C]1486.84720179501[/C][/ROW]
[ROW][C]0.99[/C][C]70748.6568423605[/C][C]1684.95710835782[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74147&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74147&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146501.10741886321002.55611383490
0.0247103.26609045251175.55872409927
0.0347767.84784021391184.90623107811
0.0448378.15386159291071.42624495132
0.0548898.0975018781970.109524509656
0.0649342.6383958102960.626589045139
0.0749743.54439929381028.27026133297
0.0850126.95233605441116.27368816769
0.0950504.89827334391178.56906993779
0.150876.74266161911193.43285866268
0.1151234.87853003181160.08132585787
0.1251570.46171402711090.62721720399
0.1351877.11337603351002.29108520236
0.1452152.3041108641911.135599477365
0.1552397.0522529352828.533818935513
0.1652614.7981281742760.584509952003
0.1752810.1472348633708.779376582222
0.1852987.8733056453671.938620858438
0.1953152.3041264671647.681471592447
0.253307.0468761012633.276412040765
0.2153454.9439654177626.267848177182
0.2253598.1509725393624.828116310273
0.2353738.2581615506627.310468158142
0.2453876.4106562515632.52037904657
0.2554013.4080146552639.671599089207
0.2654149.7798646729647.557588561143
0.2754285.8427453489655.787527669486
0.2854421.7469947046663.639182694674
0.2954557.5229403781670.587918165062
0.354693.1333757041676.39379699561
0.3154828.5348217676681.296231385072
0.3254963.744335501685.7285207095
0.3355098.9031213365690.652702004131
0.3455234.3246339826697.45966681983
0.3555370.5145843996707.392016337588
0.3655508.1538309946721.866962888471
0.3755648.042035933741.41445992733
0.3855791.0086520176765.973726283296
0.3955937.8060664138794.77924120569
0.456089.0052552113825.91930584588
0.4156244.9153461407857.584888904811
0.4256405.5443944116887.502521298324
0.4356570.6101579167913.97824724671
0.4456739.5986617507935.778260711046
0.4556911.85756754952.486782811195
0.4657086.703535004964.552233512288
0.4757263.5198810746972.859565190664
0.4857441.8236312789978.939360683933
0.4957621.2887872474983.864935246913
0.557801.7233462349988.581242592498
0.5157983.0086856359993.270492511337
0.5258165.0188009069997.569083171613
0.5358347.54168196741000.37267018632
0.5458530.22502836781000.43900720580
0.5558712.5638592421996.591207382043
0.5658893.9395700694987.969628581524
0.5759073.7102873257974.404452874356
0.5859251.3426785212956.831007820135
0.5959426.5671349788936.81379143915
0.659599.5325198503917.237126118412
0.6159770.9341581528901.555815727383
0.6259942.0898373337893.784230574945
0.6360114.94342371897.937406883551
0.6460291.9840999343917.107268474229
0.6560476.0805435005953.280786918456
0.6660670.24232204511006.22794184327
0.6760877.3334190251073.89428504453
0.6861099.77264467711152.35160631942
0.6961339.26019489741236.30255991738
0.761596.56692579251319.75565249777
0.7161871.41263050711396.79814598100
0.7262162.44343873171461.98947673819
0.7362467.3002177061510.84028331494
0.7462782.75465499491540.21260959229
0.7563104.8823959771547.99705858708
0.7663429.24585339711533.23786092530
0.7763751.07208811971495.70818526886
0.7864065.42854657111435.89637340422
0.7964367.41402709251354.78907981035
0.864652.38702307991254.36644766332
0.8164916.24515314771137.79732893681
0.8265155.75000471009.38760060531
0.8365368.8689826388875.013830389369
0.8465555.0896724676741.447296868328
0.8565715.6610463896616.081343839921
0.8665853.7331095842506.136787558193
0.8765974.4013086839418.49138404581
0.8866084.7105890168359.5379892218
0.8966193.7274420002334.985486704261
0.966312.8176515502348.951203076446
0.9166456.204523085403.816793974508
0.9266641.6416857694502.505250382722
0.9366890.6516777108647.963374039477
0.9467227.637435438835.340599026797
0.9567677.84087758671041.30175550945
0.9668264.80995594871225.38569865734
0.9769003.90140545871360.62906626239
0.9869874.26770550411486.84720179501
0.9970748.65684236051684.95710835782



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')