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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 computationSun, 07 Dec 2008 12:05:56 -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/2008/Dec/07/t1228676786hzx4csnhu3jgfak.htm/, Retrieved Sat, 18 May 2024 11:48:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30254, Retrieved Sat, 18 May 2024 11:48:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean versus Median] [Totale Invoer naa...] [2008-12-07 18:21:05] [299afd6311e4c20059ea2f05c8dd029d]
- RM D  [Variability] [Totale Invoer naa...] [2008-12-07 18:28:38] [299afd6311e4c20059ea2f05c8dd029d]
- RMP     [Stem-and-leaf Plot] [Totale Invoer naa...] [2008-12-07 18:32:41] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD      [Quartiles] [Totale Invoer naa...] [2008-12-07 18:52:56] [299afd6311e4c20059ea2f05c8dd029d]
- RM D        [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:02:20] [299afd6311e4c20059ea2f05c8dd029d]
-                 [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:05:56] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13429.9
13470.1
14785.8
14292
14308.8
14013
13240.9
12153.4
14289.7
15669.2
14169.5
14569.8
14469.1
14264.9
15320.9
14433.5
13691.5
14194.1
13519.2
11857.9
14616
15643.4
14077.2
14887.5
14159.9
14643
17192.5
15386.1
14287.1
17526.6
14497
14398.3
16629.6
16670.7
16614.8
16869.2
15663.9
16359.9
18447.7
16889
16505
18320.9
15052.1
15699.8
18135.3
16768.7
18883
19021
18101.9
17776.1
21489.9
17065.3
18690
18953.1
16398.9
16895.7
18553
19270
19422.1
17579.4
18637.3
18076.7
20438.6
18075.2
19563
19899.2
19227.5
17789.6
19220.8
21968.9
21131.5
19484.6

Tables (Output of Computation)





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=30254&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=30254&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30254&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112022.5449839232451.831564809709
0.01512156.6840778216545.843899066647
0.0212312.4848308742611.931520539456
0.02512478.5830779520638.224090499012
0.0312644.7740356000625.970189507534
0.03512803.1371853587584.511172371918
0.0412948.4449786935526.258172016774
0.04513078.0469099687463.064093373533
0.0513191.4266481662404.233553071402
0.05513289.6077557660355.75792041949
0.0613374.5455659212320.346338649015
0.06513448.5976187258297.763657545342
0.0713514.1208937371285.693275614379
0.07513573.2076408253280.799916060044
0.0813627.5465313828279.796116110522
0.08513678.3823955950280.009519820237
0.0913726.5438454115279.560485425549
0.09513772.5104459281277.251061080178
0.113816.4967339843272.500049868094
0.10513858.5369642765265.163916776979
0.1113898.5605489861255.390584846284
0.11513936.4530622148243.580625202363
0.1213972.1012384287230.245695489209
0.12514005.4227251437215.976677947072
0.1314036.3826933726201.323090599115
0.13514065.0000220448186.787235157876
0.1414091.3458820258172.836439867854
0.14514115.5373340603159.809359897373
0.1514137.7281617146147.966049145926
0.15514158.0986869459137.475422285432
0.1614176.8458341913128.423280790202
0.16514194.1742668565120.869541681563
0.1714210.2890465925114.781347863814
0.17514225.3899742326110.114991345704
0.1814239.6675632939106.777436534749
0.18514253.3004656046104.721152516090
0.1914266.4541014938103.847353530053
0.19514279.2802290540104.033456938051
0.214291.9172028428105.241646576023
0.20514304.4907079693107.360176778294
0.2114317.1147991885110.328111667798
0.21514329.8931177657114.080483375638
0.2214342.9201958738118.552731212379
0.22514356.2827863165123.701922187823
0.2314370.0611738526129.488883495095
0.23514384.3304343807135.912228969305
0.2414399.1616118057142.938534218641
0.24514414.6227820660150.619127652048
0.2514430.7799720360158.922552145571
0.25514447.6978999964167.859705068357
0.2614465.4405056347177.490666064541
0.26514484.0712420344187.804408681061
0.2714503.6531100822198.832709186299
0.27514524.2484268418210.573058242056
0.2814545.9183329385223.030685308832
0.28514568.7220587624236.171548735688
0.2914592.715984079249.984920822972
0.29514617.9525391548264.388671258388
0.314644.4790065921279.364383837718
0.30514672.3362907440294.783432049602
0.3114701.5577251602310.558638038334
0.31514732.1679876039326.58948082244
0.3214764.1821867487342.736468955079
0.32514797.6051749940358.903183544969
0.3314832.4311285235374.90709394519
0.33514868.6434196417390.667261883222
0.3414906.2147886185406.033947623563
0.34514945.1078039619420.903223748628
0.3514985.2755824747435.162529978025
0.35515026.6627248704448.736859159008
0.3615069.2064102348461.568531791369
0.36515112.8375841359473.563293689887
0.3715157.4821713656484.725111972115
0.37515203.0622454529494.99924928512
0.3815249.4970932051504.38764114057
0.38515296.7041232015512.905083608934
0.3915344.5995816583520.549147396107
0.39515393.099056349527.291758088586
0.415442.1177680486533.197557730013
0.40515491.5706678576538.22481756866
0.4115541.3723763253542.396180963098
0.41515591.4370151711545.696646127795
0.4215641.6779934371548.083479370978
0.42515692.00781619549.538206975889
0.4315742.3379849075550.039279645582
0.43515792.5790542691549.533025520726
0.4415842.6409005075548.02277547638
0.44515892.4332423952545.43191681726
0.4515941.8664383412541.759016999355
0.45515990.8525631750537.007703477052
0.4616039.3067474033531.185356548795
0.46516087.1487414644524.329344669711
0.4716134.3046491592516.509273326147
0.47516180.7087592094507.815906865498
0.4816226.3053927438498.363101683826
0.48516271.0506781041488.285890067818
0.4916314.9141629978477.775770830618
0.49516357.8801776934467.011874400868
0.516399.9488712987456.155019492558
0.50516441.1368555838445.504124394054
0.5116481.4774064772435.200852809795
0.51516521.0201913410425.502811916956
0.5216559.8305093977416.618609801011
0.52516597.9880522588408.738800898361
0.5316635.5852104767401.99257532981
0.53516672.7249696072396.57761758788
0.5416709.5184547916392.565624096125
0.54516746.0821958576390.022878898107
0.5516782.5351950698388.978309694573
0.55516818.9958867447389.395920031614
0.5616855.5790819223391.223676517132
0.56516892.3929921759394.323208000131
0.5716929.5364245479398.561329061461
0.57516967.0962346661403.766597695997
0.5817005.1451175129409.701604928265
0.58517043.7398052966416.174236725788
0.5917082.9197296732422.959178298393
0.59517122.7061914645429.794328326807
0.617163.1020653526436.487391924101
0.60517204.0920501992442.797268355208
0.6117245.6434580799448.514655952682
0.61517287.7075173631453.478023885914
0.6217330.2211477595457.528754926281
0.62517373.10914884460.50192259717
0.6317416.2867286968462.352909339368
0.63517459.6622868307462.99340929077
0.6417503.1403555902462.426832570386
0.64517546.6245980836460.65435446762
0.6517590.0207578586457.720745570533
0.65517633.2394570909453.670356223503
0.6617676.1987456543448.661848707104
0.66517718.8263132134442.780855880751
0.6717761.0612901048436.225548834796
0.67517802.8555797803429.090414798324
0.6817844.1746853039421.626265885924
0.68517884.9980139277413.940152342058
0.6917925.3186661263406.234734077785
0.69517965.1427374778398.658221611972
0.718004.4881822831391.336116356141
0.70518043.3833056432384.419982668444
0.7118081.8649648168377.955033205174
0.71518119.9765702082372.054418534309
0.7218157.765980692366.703997781819
0.72518195.2833869299361.91839057883
0.7318232.5792700226357.719169155904
0.73518269.7025118141354.033296627487
0.7418306.6987183813350.816939330782
0.74518343.6088009717347.966920239767
0.7518380.4678404249345.445888447541
0.75518417.3042435792343.124508086539
0.7618454.1391849208340.937309174295
0.76518490.9863152241338.783079638591
0.7718527.8517122279336.625485796060
0.77518564.7340471311334.379519892324
0.7818601.6249449516331.951419737874
0.78518638.5095260934329.316200366966
0.7918675.3671298257326.401540528828
0.79518712.1722363864323.168467319551
0.818748.8956214826319.608006855123
0.80518785.5057934488315.665772148767
0.8118821.9707778572311.341333309956
0.81518858.2603259816306.629380314434
0.8218894.3486317482301.545114212562
0.82518930.217646715296.131955881749
0.8318965.8610845085290.426812803615
0.83519001.2892051871284.561014156906
0.8419036.5344655803278.627724777718
0.84519071.6581116503272.807860396944
0.8519106.7577689413267.33628026223
0.85519141.9760499769262.445632344136
0.8619177.5101327646258.499231166457
0.86519213.6221596030255.859821229502
0.8719250.6501462927255.002976109722
0.87519289.0188662692256.458697415353
0.8819329.2498750063260.817809235529
0.88519371.9694705189268.685892714422
0.8919417.9129655573280.721420397415
0.89519467.9232190512297.473121433703
0.919522.9410117458319.406447141202
0.90519583.9846635123346.752748345250
0.9119652.1164269071379.499459965723
0.91519728.3938384265417.228054681219
0.9219813.8055678127459.135999553459
0.92519909.1935492817503.877459303644
0.9320015.166355882549.59278461056
0.93520132.0126533405593.884773494345
0.9420259.6273828100633.861642301478
0.94520397.4655104073666.346199181283
0.9520544.5362031533688.115282204759
0.95520699.4408680628696.331356509719
0.9620860.4388108275689.081355072977
0.96521025.4947686838666.023271618416
0.9721192.2315249264629.085264008575
0.97521357.6995027269583.08060429723
0.9821517.9194960394535.834818475453
0.98521667.2947057992496.996504405457
0.9921798.2365920772474.300900178291

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12022.5449839232 & 451.831564809709 \tabularnewline
0.015 & 12156.6840778216 & 545.843899066647 \tabularnewline
0.02 & 12312.4848308742 & 611.931520539456 \tabularnewline
0.025 & 12478.5830779520 & 638.224090499012 \tabularnewline
0.03 & 12644.7740356000 & 625.970189507534 \tabularnewline
0.035 & 12803.1371853587 & 584.511172371918 \tabularnewline
0.04 & 12948.4449786935 & 526.258172016774 \tabularnewline
0.045 & 13078.0469099687 & 463.064093373533 \tabularnewline
0.05 & 13191.4266481662 & 404.233553071402 \tabularnewline
0.055 & 13289.6077557660 & 355.75792041949 \tabularnewline
0.06 & 13374.5455659212 & 320.346338649015 \tabularnewline
0.065 & 13448.5976187258 & 297.763657545342 \tabularnewline
0.07 & 13514.1208937371 & 285.693275614379 \tabularnewline
0.075 & 13573.2076408253 & 280.799916060044 \tabularnewline
0.08 & 13627.5465313828 & 279.796116110522 \tabularnewline
0.085 & 13678.3823955950 & 280.009519820237 \tabularnewline
0.09 & 13726.5438454115 & 279.560485425549 \tabularnewline
0.095 & 13772.5104459281 & 277.251061080178 \tabularnewline
0.1 & 13816.4967339843 & 272.500049868094 \tabularnewline
0.105 & 13858.5369642765 & 265.163916776979 \tabularnewline
0.11 & 13898.5605489861 & 255.390584846284 \tabularnewline
0.115 & 13936.4530622148 & 243.580625202363 \tabularnewline
0.12 & 13972.1012384287 & 230.245695489209 \tabularnewline
0.125 & 14005.4227251437 & 215.976677947072 \tabularnewline
0.13 & 14036.3826933726 & 201.323090599115 \tabularnewline
0.135 & 14065.0000220448 & 186.787235157876 \tabularnewline
0.14 & 14091.3458820258 & 172.836439867854 \tabularnewline
0.145 & 14115.5373340603 & 159.809359897373 \tabularnewline
0.15 & 14137.7281617146 & 147.966049145926 \tabularnewline
0.155 & 14158.0986869459 & 137.475422285432 \tabularnewline
0.16 & 14176.8458341913 & 128.423280790202 \tabularnewline
0.165 & 14194.1742668565 & 120.869541681563 \tabularnewline
0.17 & 14210.2890465925 & 114.781347863814 \tabularnewline
0.175 & 14225.3899742326 & 110.114991345704 \tabularnewline
0.18 & 14239.6675632939 & 106.777436534749 \tabularnewline
0.185 & 14253.3004656046 & 104.721152516090 \tabularnewline
0.19 & 14266.4541014938 & 103.847353530053 \tabularnewline
0.195 & 14279.2802290540 & 104.033456938051 \tabularnewline
0.2 & 14291.9172028428 & 105.241646576023 \tabularnewline
0.205 & 14304.4907079693 & 107.360176778294 \tabularnewline
0.21 & 14317.1147991885 & 110.328111667798 \tabularnewline
0.215 & 14329.8931177657 & 114.080483375638 \tabularnewline
0.22 & 14342.9201958738 & 118.552731212379 \tabularnewline
0.225 & 14356.2827863165 & 123.701922187823 \tabularnewline
0.23 & 14370.0611738526 & 129.488883495095 \tabularnewline
0.235 & 14384.3304343807 & 135.912228969305 \tabularnewline
0.24 & 14399.1616118057 & 142.938534218641 \tabularnewline
0.245 & 14414.6227820660 & 150.619127652048 \tabularnewline
0.25 & 14430.7799720360 & 158.922552145571 \tabularnewline
0.255 & 14447.6978999964 & 167.859705068357 \tabularnewline
0.26 & 14465.4405056347 & 177.490666064541 \tabularnewline
0.265 & 14484.0712420344 & 187.804408681061 \tabularnewline
0.27 & 14503.6531100822 & 198.832709186299 \tabularnewline
0.275 & 14524.2484268418 & 210.573058242056 \tabularnewline
0.28 & 14545.9183329385 & 223.030685308832 \tabularnewline
0.285 & 14568.7220587624 & 236.171548735688 \tabularnewline
0.29 & 14592.715984079 & 249.984920822972 \tabularnewline
0.295 & 14617.9525391548 & 264.388671258388 \tabularnewline
0.3 & 14644.4790065921 & 279.364383837718 \tabularnewline
0.305 & 14672.3362907440 & 294.783432049602 \tabularnewline
0.31 & 14701.5577251602 & 310.558638038334 \tabularnewline
0.315 & 14732.1679876039 & 326.58948082244 \tabularnewline
0.32 & 14764.1821867487 & 342.736468955079 \tabularnewline
0.325 & 14797.6051749940 & 358.903183544969 \tabularnewline
0.33 & 14832.4311285235 & 374.90709394519 \tabularnewline
0.335 & 14868.6434196417 & 390.667261883222 \tabularnewline
0.34 & 14906.2147886185 & 406.033947623563 \tabularnewline
0.345 & 14945.1078039619 & 420.903223748628 \tabularnewline
0.35 & 14985.2755824747 & 435.162529978025 \tabularnewline
0.355 & 15026.6627248704 & 448.736859159008 \tabularnewline
0.36 & 15069.2064102348 & 461.568531791369 \tabularnewline
0.365 & 15112.8375841359 & 473.563293689887 \tabularnewline
0.37 & 15157.4821713656 & 484.725111972115 \tabularnewline
0.375 & 15203.0622454529 & 494.99924928512 \tabularnewline
0.38 & 15249.4970932051 & 504.38764114057 \tabularnewline
0.385 & 15296.7041232015 & 512.905083608934 \tabularnewline
0.39 & 15344.5995816583 & 520.549147396107 \tabularnewline
0.395 & 15393.099056349 & 527.291758088586 \tabularnewline
0.4 & 15442.1177680486 & 533.197557730013 \tabularnewline
0.405 & 15491.5706678576 & 538.22481756866 \tabularnewline
0.41 & 15541.3723763253 & 542.396180963098 \tabularnewline
0.415 & 15591.4370151711 & 545.696646127795 \tabularnewline
0.42 & 15641.6779934371 & 548.083479370978 \tabularnewline
0.425 & 15692.00781619 & 549.538206975889 \tabularnewline
0.43 & 15742.3379849075 & 550.039279645582 \tabularnewline
0.435 & 15792.5790542691 & 549.533025520726 \tabularnewline
0.44 & 15842.6409005075 & 548.02277547638 \tabularnewline
0.445 & 15892.4332423952 & 545.43191681726 \tabularnewline
0.45 & 15941.8664383412 & 541.759016999355 \tabularnewline
0.455 & 15990.8525631750 & 537.007703477052 \tabularnewline
0.46 & 16039.3067474033 & 531.185356548795 \tabularnewline
0.465 & 16087.1487414644 & 524.329344669711 \tabularnewline
0.47 & 16134.3046491592 & 516.509273326147 \tabularnewline
0.475 & 16180.7087592094 & 507.815906865498 \tabularnewline
0.48 & 16226.3053927438 & 498.363101683826 \tabularnewline
0.485 & 16271.0506781041 & 488.285890067818 \tabularnewline
0.49 & 16314.9141629978 & 477.775770830618 \tabularnewline
0.495 & 16357.8801776934 & 467.011874400868 \tabularnewline
0.5 & 16399.9488712987 & 456.155019492558 \tabularnewline
0.505 & 16441.1368555838 & 445.504124394054 \tabularnewline
0.51 & 16481.4774064772 & 435.200852809795 \tabularnewline
0.515 & 16521.0201913410 & 425.502811916956 \tabularnewline
0.52 & 16559.8305093977 & 416.618609801011 \tabularnewline
0.525 & 16597.9880522588 & 408.738800898361 \tabularnewline
0.53 & 16635.5852104767 & 401.99257532981 \tabularnewline
0.535 & 16672.7249696072 & 396.57761758788 \tabularnewline
0.54 & 16709.5184547916 & 392.565624096125 \tabularnewline
0.545 & 16746.0821958576 & 390.022878898107 \tabularnewline
0.55 & 16782.5351950698 & 388.978309694573 \tabularnewline
0.555 & 16818.9958867447 & 389.395920031614 \tabularnewline
0.56 & 16855.5790819223 & 391.223676517132 \tabularnewline
0.565 & 16892.3929921759 & 394.323208000131 \tabularnewline
0.57 & 16929.5364245479 & 398.561329061461 \tabularnewline
0.575 & 16967.0962346661 & 403.766597695997 \tabularnewline
0.58 & 17005.1451175129 & 409.701604928265 \tabularnewline
0.585 & 17043.7398052966 & 416.174236725788 \tabularnewline
0.59 & 17082.9197296732 & 422.959178298393 \tabularnewline
0.595 & 17122.7061914645 & 429.794328326807 \tabularnewline
0.6 & 17163.1020653526 & 436.487391924101 \tabularnewline
0.605 & 17204.0920501992 & 442.797268355208 \tabularnewline
0.61 & 17245.6434580799 & 448.514655952682 \tabularnewline
0.615 & 17287.7075173631 & 453.478023885914 \tabularnewline
0.62 & 17330.2211477595 & 457.528754926281 \tabularnewline
0.625 & 17373.10914884 & 460.50192259717 \tabularnewline
0.63 & 17416.2867286968 & 462.352909339368 \tabularnewline
0.635 & 17459.6622868307 & 462.99340929077 \tabularnewline
0.64 & 17503.1403555902 & 462.426832570386 \tabularnewline
0.645 & 17546.6245980836 & 460.65435446762 \tabularnewline
0.65 & 17590.0207578586 & 457.720745570533 \tabularnewline
0.655 & 17633.2394570909 & 453.670356223503 \tabularnewline
0.66 & 17676.1987456543 & 448.661848707104 \tabularnewline
0.665 & 17718.8263132134 & 442.780855880751 \tabularnewline
0.67 & 17761.0612901048 & 436.225548834796 \tabularnewline
0.675 & 17802.8555797803 & 429.090414798324 \tabularnewline
0.68 & 17844.1746853039 & 421.626265885924 \tabularnewline
0.685 & 17884.9980139277 & 413.940152342058 \tabularnewline
0.69 & 17925.3186661263 & 406.234734077785 \tabularnewline
0.695 & 17965.1427374778 & 398.658221611972 \tabularnewline
0.7 & 18004.4881822831 & 391.336116356141 \tabularnewline
0.705 & 18043.3833056432 & 384.419982668444 \tabularnewline
0.71 & 18081.8649648168 & 377.955033205174 \tabularnewline
0.715 & 18119.9765702082 & 372.054418534309 \tabularnewline
0.72 & 18157.765980692 & 366.703997781819 \tabularnewline
0.725 & 18195.2833869299 & 361.91839057883 \tabularnewline
0.73 & 18232.5792700226 & 357.719169155904 \tabularnewline
0.735 & 18269.7025118141 & 354.033296627487 \tabularnewline
0.74 & 18306.6987183813 & 350.816939330782 \tabularnewline
0.745 & 18343.6088009717 & 347.966920239767 \tabularnewline
0.75 & 18380.4678404249 & 345.445888447541 \tabularnewline
0.755 & 18417.3042435792 & 343.124508086539 \tabularnewline
0.76 & 18454.1391849208 & 340.937309174295 \tabularnewline
0.765 & 18490.9863152241 & 338.783079638591 \tabularnewline
0.77 & 18527.8517122279 & 336.625485796060 \tabularnewline
0.775 & 18564.7340471311 & 334.379519892324 \tabularnewline
0.78 & 18601.6249449516 & 331.951419737874 \tabularnewline
0.785 & 18638.5095260934 & 329.316200366966 \tabularnewline
0.79 & 18675.3671298257 & 326.401540528828 \tabularnewline
0.795 & 18712.1722363864 & 323.168467319551 \tabularnewline
0.8 & 18748.8956214826 & 319.608006855123 \tabularnewline
0.805 & 18785.5057934488 & 315.665772148767 \tabularnewline
0.81 & 18821.9707778572 & 311.341333309956 \tabularnewline
0.815 & 18858.2603259816 & 306.629380314434 \tabularnewline
0.82 & 18894.3486317482 & 301.545114212562 \tabularnewline
0.825 & 18930.217646715 & 296.131955881749 \tabularnewline
0.83 & 18965.8610845085 & 290.426812803615 \tabularnewline
0.835 & 19001.2892051871 & 284.561014156906 \tabularnewline
0.84 & 19036.5344655803 & 278.627724777718 \tabularnewline
0.845 & 19071.6581116503 & 272.807860396944 \tabularnewline
0.85 & 19106.7577689413 & 267.33628026223 \tabularnewline
0.855 & 19141.9760499769 & 262.445632344136 \tabularnewline
0.86 & 19177.5101327646 & 258.499231166457 \tabularnewline
0.865 & 19213.6221596030 & 255.859821229502 \tabularnewline
0.87 & 19250.6501462927 & 255.002976109722 \tabularnewline
0.875 & 19289.0188662692 & 256.458697415353 \tabularnewline
0.88 & 19329.2498750063 & 260.817809235529 \tabularnewline
0.885 & 19371.9694705189 & 268.685892714422 \tabularnewline
0.89 & 19417.9129655573 & 280.721420397415 \tabularnewline
0.895 & 19467.9232190512 & 297.473121433703 \tabularnewline
0.9 & 19522.9410117458 & 319.406447141202 \tabularnewline
0.905 & 19583.9846635123 & 346.752748345250 \tabularnewline
0.91 & 19652.1164269071 & 379.499459965723 \tabularnewline
0.915 & 19728.3938384265 & 417.228054681219 \tabularnewline
0.92 & 19813.8055678127 & 459.135999553459 \tabularnewline
0.925 & 19909.1935492817 & 503.877459303644 \tabularnewline
0.93 & 20015.166355882 & 549.59278461056 \tabularnewline
0.935 & 20132.0126533405 & 593.884773494345 \tabularnewline
0.94 & 20259.6273828100 & 633.861642301478 \tabularnewline
0.945 & 20397.4655104073 & 666.346199181283 \tabularnewline
0.95 & 20544.5362031533 & 688.115282204759 \tabularnewline
0.955 & 20699.4408680628 & 696.331356509719 \tabularnewline
0.96 & 20860.4388108275 & 689.081355072977 \tabularnewline
0.965 & 21025.4947686838 & 666.023271618416 \tabularnewline
0.97 & 21192.2315249264 & 629.085264008575 \tabularnewline
0.975 & 21357.6995027269 & 583.08060429723 \tabularnewline
0.98 & 21517.9194960394 & 535.834818475453 \tabularnewline
0.985 & 21667.2947057992 & 496.996504405457 \tabularnewline
0.99 & 21798.2365920772 & 474.300900178291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30254&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]12022.5449839232[/C][C]451.831564809709[/C][/ROW]
[ROW][C]0.015[/C][C]12156.6840778216[/C][C]545.843899066647[/C][/ROW]
[ROW][C]0.02[/C][C]12312.4848308742[/C][C]611.931520539456[/C][/ROW]
[ROW][C]0.025[/C][C]12478.5830779520[/C][C]638.224090499012[/C][/ROW]
[ROW][C]0.03[/C][C]12644.7740356000[/C][C]625.970189507534[/C][/ROW]
[ROW][C]0.035[/C][C]12803.1371853587[/C][C]584.511172371918[/C][/ROW]
[ROW][C]0.04[/C][C]12948.4449786935[/C][C]526.258172016774[/C][/ROW]
[ROW][C]0.045[/C][C]13078.0469099687[/C][C]463.064093373533[/C][/ROW]
[ROW][C]0.05[/C][C]13191.4266481662[/C][C]404.233553071402[/C][/ROW]
[ROW][C]0.055[/C][C]13289.6077557660[/C][C]355.75792041949[/C][/ROW]
[ROW][C]0.06[/C][C]13374.5455659212[/C][C]320.346338649015[/C][/ROW]
[ROW][C]0.065[/C][C]13448.5976187258[/C][C]297.763657545342[/C][/ROW]
[ROW][C]0.07[/C][C]13514.1208937371[/C][C]285.693275614379[/C][/ROW]
[ROW][C]0.075[/C][C]13573.2076408253[/C][C]280.799916060044[/C][/ROW]
[ROW][C]0.08[/C][C]13627.5465313828[/C][C]279.796116110522[/C][/ROW]
[ROW][C]0.085[/C][C]13678.3823955950[/C][C]280.009519820237[/C][/ROW]
[ROW][C]0.09[/C][C]13726.5438454115[/C][C]279.560485425549[/C][/ROW]
[ROW][C]0.095[/C][C]13772.5104459281[/C][C]277.251061080178[/C][/ROW]
[ROW][C]0.1[/C][C]13816.4967339843[/C][C]272.500049868094[/C][/ROW]
[ROW][C]0.105[/C][C]13858.5369642765[/C][C]265.163916776979[/C][/ROW]
[ROW][C]0.11[/C][C]13898.5605489861[/C][C]255.390584846284[/C][/ROW]
[ROW][C]0.115[/C][C]13936.4530622148[/C][C]243.580625202363[/C][/ROW]
[ROW][C]0.12[/C][C]13972.1012384287[/C][C]230.245695489209[/C][/ROW]
[ROW][C]0.125[/C][C]14005.4227251437[/C][C]215.976677947072[/C][/ROW]
[ROW][C]0.13[/C][C]14036.3826933726[/C][C]201.323090599115[/C][/ROW]
[ROW][C]0.135[/C][C]14065.0000220448[/C][C]186.787235157876[/C][/ROW]
[ROW][C]0.14[/C][C]14091.3458820258[/C][C]172.836439867854[/C][/ROW]
[ROW][C]0.145[/C][C]14115.5373340603[/C][C]159.809359897373[/C][/ROW]
[ROW][C]0.15[/C][C]14137.7281617146[/C][C]147.966049145926[/C][/ROW]
[ROW][C]0.155[/C][C]14158.0986869459[/C][C]137.475422285432[/C][/ROW]
[ROW][C]0.16[/C][C]14176.8458341913[/C][C]128.423280790202[/C][/ROW]
[ROW][C]0.165[/C][C]14194.1742668565[/C][C]120.869541681563[/C][/ROW]
[ROW][C]0.17[/C][C]14210.2890465925[/C][C]114.781347863814[/C][/ROW]
[ROW][C]0.175[/C][C]14225.3899742326[/C][C]110.114991345704[/C][/ROW]
[ROW][C]0.18[/C][C]14239.6675632939[/C][C]106.777436534749[/C][/ROW]
[ROW][C]0.185[/C][C]14253.3004656046[/C][C]104.721152516090[/C][/ROW]
[ROW][C]0.19[/C][C]14266.4541014938[/C][C]103.847353530053[/C][/ROW]
[ROW][C]0.195[/C][C]14279.2802290540[/C][C]104.033456938051[/C][/ROW]
[ROW][C]0.2[/C][C]14291.9172028428[/C][C]105.241646576023[/C][/ROW]
[ROW][C]0.205[/C][C]14304.4907079693[/C][C]107.360176778294[/C][/ROW]
[ROW][C]0.21[/C][C]14317.1147991885[/C][C]110.328111667798[/C][/ROW]
[ROW][C]0.215[/C][C]14329.8931177657[/C][C]114.080483375638[/C][/ROW]
[ROW][C]0.22[/C][C]14342.9201958738[/C][C]118.552731212379[/C][/ROW]
[ROW][C]0.225[/C][C]14356.2827863165[/C][C]123.701922187823[/C][/ROW]
[ROW][C]0.23[/C][C]14370.0611738526[/C][C]129.488883495095[/C][/ROW]
[ROW][C]0.235[/C][C]14384.3304343807[/C][C]135.912228969305[/C][/ROW]
[ROW][C]0.24[/C][C]14399.1616118057[/C][C]142.938534218641[/C][/ROW]
[ROW][C]0.245[/C][C]14414.6227820660[/C][C]150.619127652048[/C][/ROW]
[ROW][C]0.25[/C][C]14430.7799720360[/C][C]158.922552145571[/C][/ROW]
[ROW][C]0.255[/C][C]14447.6978999964[/C][C]167.859705068357[/C][/ROW]
[ROW][C]0.26[/C][C]14465.4405056347[/C][C]177.490666064541[/C][/ROW]
[ROW][C]0.265[/C][C]14484.0712420344[/C][C]187.804408681061[/C][/ROW]
[ROW][C]0.27[/C][C]14503.6531100822[/C][C]198.832709186299[/C][/ROW]
[ROW][C]0.275[/C][C]14524.2484268418[/C][C]210.573058242056[/C][/ROW]
[ROW][C]0.28[/C][C]14545.9183329385[/C][C]223.030685308832[/C][/ROW]
[ROW][C]0.285[/C][C]14568.7220587624[/C][C]236.171548735688[/C][/ROW]
[ROW][C]0.29[/C][C]14592.715984079[/C][C]249.984920822972[/C][/ROW]
[ROW][C]0.295[/C][C]14617.9525391548[/C][C]264.388671258388[/C][/ROW]
[ROW][C]0.3[/C][C]14644.4790065921[/C][C]279.364383837718[/C][/ROW]
[ROW][C]0.305[/C][C]14672.3362907440[/C][C]294.783432049602[/C][/ROW]
[ROW][C]0.31[/C][C]14701.5577251602[/C][C]310.558638038334[/C][/ROW]
[ROW][C]0.315[/C][C]14732.1679876039[/C][C]326.58948082244[/C][/ROW]
[ROW][C]0.32[/C][C]14764.1821867487[/C][C]342.736468955079[/C][/ROW]
[ROW][C]0.325[/C][C]14797.6051749940[/C][C]358.903183544969[/C][/ROW]
[ROW][C]0.33[/C][C]14832.4311285235[/C][C]374.90709394519[/C][/ROW]
[ROW][C]0.335[/C][C]14868.6434196417[/C][C]390.667261883222[/C][/ROW]
[ROW][C]0.34[/C][C]14906.2147886185[/C][C]406.033947623563[/C][/ROW]
[ROW][C]0.345[/C][C]14945.1078039619[/C][C]420.903223748628[/C][/ROW]
[ROW][C]0.35[/C][C]14985.2755824747[/C][C]435.162529978025[/C][/ROW]
[ROW][C]0.355[/C][C]15026.6627248704[/C][C]448.736859159008[/C][/ROW]
[ROW][C]0.36[/C][C]15069.2064102348[/C][C]461.568531791369[/C][/ROW]
[ROW][C]0.365[/C][C]15112.8375841359[/C][C]473.563293689887[/C][/ROW]
[ROW][C]0.37[/C][C]15157.4821713656[/C][C]484.725111972115[/C][/ROW]
[ROW][C]0.375[/C][C]15203.0622454529[/C][C]494.99924928512[/C][/ROW]
[ROW][C]0.38[/C][C]15249.4970932051[/C][C]504.38764114057[/C][/ROW]
[ROW][C]0.385[/C][C]15296.7041232015[/C][C]512.905083608934[/C][/ROW]
[ROW][C]0.39[/C][C]15344.5995816583[/C][C]520.549147396107[/C][/ROW]
[ROW][C]0.395[/C][C]15393.099056349[/C][C]527.291758088586[/C][/ROW]
[ROW][C]0.4[/C][C]15442.1177680486[/C][C]533.197557730013[/C][/ROW]
[ROW][C]0.405[/C][C]15491.5706678576[/C][C]538.22481756866[/C][/ROW]
[ROW][C]0.41[/C][C]15541.3723763253[/C][C]542.396180963098[/C][/ROW]
[ROW][C]0.415[/C][C]15591.4370151711[/C][C]545.696646127795[/C][/ROW]
[ROW][C]0.42[/C][C]15641.6779934371[/C][C]548.083479370978[/C][/ROW]
[ROW][C]0.425[/C][C]15692.00781619[/C][C]549.538206975889[/C][/ROW]
[ROW][C]0.43[/C][C]15742.3379849075[/C][C]550.039279645582[/C][/ROW]
[ROW][C]0.435[/C][C]15792.5790542691[/C][C]549.533025520726[/C][/ROW]
[ROW][C]0.44[/C][C]15842.6409005075[/C][C]548.02277547638[/C][/ROW]
[ROW][C]0.445[/C][C]15892.4332423952[/C][C]545.43191681726[/C][/ROW]
[ROW][C]0.45[/C][C]15941.8664383412[/C][C]541.759016999355[/C][/ROW]
[ROW][C]0.455[/C][C]15990.8525631750[/C][C]537.007703477052[/C][/ROW]
[ROW][C]0.46[/C][C]16039.3067474033[/C][C]531.185356548795[/C][/ROW]
[ROW][C]0.465[/C][C]16087.1487414644[/C][C]524.329344669711[/C][/ROW]
[ROW][C]0.47[/C][C]16134.3046491592[/C][C]516.509273326147[/C][/ROW]
[ROW][C]0.475[/C][C]16180.7087592094[/C][C]507.815906865498[/C][/ROW]
[ROW][C]0.48[/C][C]16226.3053927438[/C][C]498.363101683826[/C][/ROW]
[ROW][C]0.485[/C][C]16271.0506781041[/C][C]488.285890067818[/C][/ROW]
[ROW][C]0.49[/C][C]16314.9141629978[/C][C]477.775770830618[/C][/ROW]
[ROW][C]0.495[/C][C]16357.8801776934[/C][C]467.011874400868[/C][/ROW]
[ROW][C]0.5[/C][C]16399.9488712987[/C][C]456.155019492558[/C][/ROW]
[ROW][C]0.505[/C][C]16441.1368555838[/C][C]445.504124394054[/C][/ROW]
[ROW][C]0.51[/C][C]16481.4774064772[/C][C]435.200852809795[/C][/ROW]
[ROW][C]0.515[/C][C]16521.0201913410[/C][C]425.502811916956[/C][/ROW]
[ROW][C]0.52[/C][C]16559.8305093977[/C][C]416.618609801011[/C][/ROW]
[ROW][C]0.525[/C][C]16597.9880522588[/C][C]408.738800898361[/C][/ROW]
[ROW][C]0.53[/C][C]16635.5852104767[/C][C]401.99257532981[/C][/ROW]
[ROW][C]0.535[/C][C]16672.7249696072[/C][C]396.57761758788[/C][/ROW]
[ROW][C]0.54[/C][C]16709.5184547916[/C][C]392.565624096125[/C][/ROW]
[ROW][C]0.545[/C][C]16746.0821958576[/C][C]390.022878898107[/C][/ROW]
[ROW][C]0.55[/C][C]16782.5351950698[/C][C]388.978309694573[/C][/ROW]
[ROW][C]0.555[/C][C]16818.9958867447[/C][C]389.395920031614[/C][/ROW]
[ROW][C]0.56[/C][C]16855.5790819223[/C][C]391.223676517132[/C][/ROW]
[ROW][C]0.565[/C][C]16892.3929921759[/C][C]394.323208000131[/C][/ROW]
[ROW][C]0.57[/C][C]16929.5364245479[/C][C]398.561329061461[/C][/ROW]
[ROW][C]0.575[/C][C]16967.0962346661[/C][C]403.766597695997[/C][/ROW]
[ROW][C]0.58[/C][C]17005.1451175129[/C][C]409.701604928265[/C][/ROW]
[ROW][C]0.585[/C][C]17043.7398052966[/C][C]416.174236725788[/C][/ROW]
[ROW][C]0.59[/C][C]17082.9197296732[/C][C]422.959178298393[/C][/ROW]
[ROW][C]0.595[/C][C]17122.7061914645[/C][C]429.794328326807[/C][/ROW]
[ROW][C]0.6[/C][C]17163.1020653526[/C][C]436.487391924101[/C][/ROW]
[ROW][C]0.605[/C][C]17204.0920501992[/C][C]442.797268355208[/C][/ROW]
[ROW][C]0.61[/C][C]17245.6434580799[/C][C]448.514655952682[/C][/ROW]
[ROW][C]0.615[/C][C]17287.7075173631[/C][C]453.478023885914[/C][/ROW]
[ROW][C]0.62[/C][C]17330.2211477595[/C][C]457.528754926281[/C][/ROW]
[ROW][C]0.625[/C][C]17373.10914884[/C][C]460.50192259717[/C][/ROW]
[ROW][C]0.63[/C][C]17416.2867286968[/C][C]462.352909339368[/C][/ROW]
[ROW][C]0.635[/C][C]17459.6622868307[/C][C]462.99340929077[/C][/ROW]
[ROW][C]0.64[/C][C]17503.1403555902[/C][C]462.426832570386[/C][/ROW]
[ROW][C]0.645[/C][C]17546.6245980836[/C][C]460.65435446762[/C][/ROW]
[ROW][C]0.65[/C][C]17590.0207578586[/C][C]457.720745570533[/C][/ROW]
[ROW][C]0.655[/C][C]17633.2394570909[/C][C]453.670356223503[/C][/ROW]
[ROW][C]0.66[/C][C]17676.1987456543[/C][C]448.661848707104[/C][/ROW]
[ROW][C]0.665[/C][C]17718.8263132134[/C][C]442.780855880751[/C][/ROW]
[ROW][C]0.67[/C][C]17761.0612901048[/C][C]436.225548834796[/C][/ROW]
[ROW][C]0.675[/C][C]17802.8555797803[/C][C]429.090414798324[/C][/ROW]
[ROW][C]0.68[/C][C]17844.1746853039[/C][C]421.626265885924[/C][/ROW]
[ROW][C]0.685[/C][C]17884.9980139277[/C][C]413.940152342058[/C][/ROW]
[ROW][C]0.69[/C][C]17925.3186661263[/C][C]406.234734077785[/C][/ROW]
[ROW][C]0.695[/C][C]17965.1427374778[/C][C]398.658221611972[/C][/ROW]
[ROW][C]0.7[/C][C]18004.4881822831[/C][C]391.336116356141[/C][/ROW]
[ROW][C]0.705[/C][C]18043.3833056432[/C][C]384.419982668444[/C][/ROW]
[ROW][C]0.71[/C][C]18081.8649648168[/C][C]377.955033205174[/C][/ROW]
[ROW][C]0.715[/C][C]18119.9765702082[/C][C]372.054418534309[/C][/ROW]
[ROW][C]0.72[/C][C]18157.765980692[/C][C]366.703997781819[/C][/ROW]
[ROW][C]0.725[/C][C]18195.2833869299[/C][C]361.91839057883[/C][/ROW]
[ROW][C]0.73[/C][C]18232.5792700226[/C][C]357.719169155904[/C][/ROW]
[ROW][C]0.735[/C][C]18269.7025118141[/C][C]354.033296627487[/C][/ROW]
[ROW][C]0.74[/C][C]18306.6987183813[/C][C]350.816939330782[/C][/ROW]
[ROW][C]0.745[/C][C]18343.6088009717[/C][C]347.966920239767[/C][/ROW]
[ROW][C]0.75[/C][C]18380.4678404249[/C][C]345.445888447541[/C][/ROW]
[ROW][C]0.755[/C][C]18417.3042435792[/C][C]343.124508086539[/C][/ROW]
[ROW][C]0.76[/C][C]18454.1391849208[/C][C]340.937309174295[/C][/ROW]
[ROW][C]0.765[/C][C]18490.9863152241[/C][C]338.783079638591[/C][/ROW]
[ROW][C]0.77[/C][C]18527.8517122279[/C][C]336.625485796060[/C][/ROW]
[ROW][C]0.775[/C][C]18564.7340471311[/C][C]334.379519892324[/C][/ROW]
[ROW][C]0.78[/C][C]18601.6249449516[/C][C]331.951419737874[/C][/ROW]
[ROW][C]0.785[/C][C]18638.5095260934[/C][C]329.316200366966[/C][/ROW]
[ROW][C]0.79[/C][C]18675.3671298257[/C][C]326.401540528828[/C][/ROW]
[ROW][C]0.795[/C][C]18712.1722363864[/C][C]323.168467319551[/C][/ROW]
[ROW][C]0.8[/C][C]18748.8956214826[/C][C]319.608006855123[/C][/ROW]
[ROW][C]0.805[/C][C]18785.5057934488[/C][C]315.665772148767[/C][/ROW]
[ROW][C]0.81[/C][C]18821.9707778572[/C][C]311.341333309956[/C][/ROW]
[ROW][C]0.815[/C][C]18858.2603259816[/C][C]306.629380314434[/C][/ROW]
[ROW][C]0.82[/C][C]18894.3486317482[/C][C]301.545114212562[/C][/ROW]
[ROW][C]0.825[/C][C]18930.217646715[/C][C]296.131955881749[/C][/ROW]
[ROW][C]0.83[/C][C]18965.8610845085[/C][C]290.426812803615[/C][/ROW]
[ROW][C]0.835[/C][C]19001.2892051871[/C][C]284.561014156906[/C][/ROW]
[ROW][C]0.84[/C][C]19036.5344655803[/C][C]278.627724777718[/C][/ROW]
[ROW][C]0.845[/C][C]19071.6581116503[/C][C]272.807860396944[/C][/ROW]
[ROW][C]0.85[/C][C]19106.7577689413[/C][C]267.33628026223[/C][/ROW]
[ROW][C]0.855[/C][C]19141.9760499769[/C][C]262.445632344136[/C][/ROW]
[ROW][C]0.86[/C][C]19177.5101327646[/C][C]258.499231166457[/C][/ROW]
[ROW][C]0.865[/C][C]19213.6221596030[/C][C]255.859821229502[/C][/ROW]
[ROW][C]0.87[/C][C]19250.6501462927[/C][C]255.002976109722[/C][/ROW]
[ROW][C]0.875[/C][C]19289.0188662692[/C][C]256.458697415353[/C][/ROW]
[ROW][C]0.88[/C][C]19329.2498750063[/C][C]260.817809235529[/C][/ROW]
[ROW][C]0.885[/C][C]19371.9694705189[/C][C]268.685892714422[/C][/ROW]
[ROW][C]0.89[/C][C]19417.9129655573[/C][C]280.721420397415[/C][/ROW]
[ROW][C]0.895[/C][C]19467.9232190512[/C][C]297.473121433703[/C][/ROW]
[ROW][C]0.9[/C][C]19522.9410117458[/C][C]319.406447141202[/C][/ROW]
[ROW][C]0.905[/C][C]19583.9846635123[/C][C]346.752748345250[/C][/ROW]
[ROW][C]0.91[/C][C]19652.1164269071[/C][C]379.499459965723[/C][/ROW]
[ROW][C]0.915[/C][C]19728.3938384265[/C][C]417.228054681219[/C][/ROW]
[ROW][C]0.92[/C][C]19813.8055678127[/C][C]459.135999553459[/C][/ROW]
[ROW][C]0.925[/C][C]19909.1935492817[/C][C]503.877459303644[/C][/ROW]
[ROW][C]0.93[/C][C]20015.166355882[/C][C]549.59278461056[/C][/ROW]
[ROW][C]0.935[/C][C]20132.0126533405[/C][C]593.884773494345[/C][/ROW]
[ROW][C]0.94[/C][C]20259.6273828100[/C][C]633.861642301478[/C][/ROW]
[ROW][C]0.945[/C][C]20397.4655104073[/C][C]666.346199181283[/C][/ROW]
[ROW][C]0.95[/C][C]20544.5362031533[/C][C]688.115282204759[/C][/ROW]
[ROW][C]0.955[/C][C]20699.4408680628[/C][C]696.331356509719[/C][/ROW]
[ROW][C]0.96[/C][C]20860.4388108275[/C][C]689.081355072977[/C][/ROW]
[ROW][C]0.965[/C][C]21025.4947686838[/C][C]666.023271618416[/C][/ROW]
[ROW][C]0.97[/C][C]21192.2315249264[/C][C]629.085264008575[/C][/ROW]
[ROW][C]0.975[/C][C]21357.6995027269[/C][C]583.08060429723[/C][/ROW]
[ROW][C]0.98[/C][C]21517.9194960394[/C][C]535.834818475453[/C][/ROW]
[ROW][C]0.985[/C][C]21667.2947057992[/C][C]496.996504405457[/C][/ROW]
[ROW][C]0.99[/C][C]21798.2365920772[/C][C]474.300900178291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30254&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30254&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
0.0112022.5449839232451.831564809709
0.01512156.6840778216545.843899066647
0.0212312.4848308742611.931520539456
0.02512478.5830779520638.224090499012
0.0312644.7740356000625.970189507534
0.03512803.1371853587584.511172371918
0.0412948.4449786935526.258172016774
0.04513078.0469099687463.064093373533
0.0513191.4266481662404.233553071402
0.05513289.6077557660355.75792041949
0.0613374.5455659212320.346338649015
0.06513448.5976187258297.763657545342
0.0713514.1208937371285.693275614379
0.07513573.2076408253280.799916060044
0.0813627.5465313828279.796116110522
0.08513678.3823955950280.009519820237
0.0913726.5438454115279.560485425549
0.09513772.5104459281277.251061080178
0.113816.4967339843272.500049868094
0.10513858.5369642765265.163916776979
0.1113898.5605489861255.390584846284
0.11513936.4530622148243.580625202363
0.1213972.1012384287230.245695489209
0.12514005.4227251437215.976677947072
0.1314036.3826933726201.323090599115
0.13514065.0000220448186.787235157876
0.1414091.3458820258172.836439867854
0.14514115.5373340603159.809359897373
0.1514137.7281617146147.966049145926
0.15514158.0986869459137.475422285432
0.1614176.8458341913128.423280790202
0.16514194.1742668565120.869541681563
0.1714210.2890465925114.781347863814
0.17514225.3899742326110.114991345704
0.1814239.6675632939106.777436534749
0.18514253.3004656046104.721152516090
0.1914266.4541014938103.847353530053
0.19514279.2802290540104.033456938051
0.214291.9172028428105.241646576023
0.20514304.4907079693107.360176778294
0.2114317.1147991885110.328111667798
0.21514329.8931177657114.080483375638
0.2214342.9201958738118.552731212379
0.22514356.2827863165123.701922187823
0.2314370.0611738526129.488883495095
0.23514384.3304343807135.912228969305
0.2414399.1616118057142.938534218641
0.24514414.6227820660150.619127652048
0.2514430.7799720360158.922552145571
0.25514447.6978999964167.859705068357
0.2614465.4405056347177.490666064541
0.26514484.0712420344187.804408681061
0.2714503.6531100822198.832709186299
0.27514524.2484268418210.573058242056
0.2814545.9183329385223.030685308832
0.28514568.7220587624236.171548735688
0.2914592.715984079249.984920822972
0.29514617.9525391548264.388671258388
0.314644.4790065921279.364383837718
0.30514672.3362907440294.783432049602
0.3114701.5577251602310.558638038334
0.31514732.1679876039326.58948082244
0.3214764.1821867487342.736468955079
0.32514797.6051749940358.903183544969
0.3314832.4311285235374.90709394519
0.33514868.6434196417390.667261883222
0.3414906.2147886185406.033947623563
0.34514945.1078039619420.903223748628
0.3514985.2755824747435.162529978025
0.35515026.6627248704448.736859159008
0.3615069.2064102348461.568531791369
0.36515112.8375841359473.563293689887
0.3715157.4821713656484.725111972115
0.37515203.0622454529494.99924928512
0.3815249.4970932051504.38764114057
0.38515296.7041232015512.905083608934
0.3915344.5995816583520.549147396107
0.39515393.099056349527.291758088586
0.415442.1177680486533.197557730013
0.40515491.5706678576538.22481756866
0.4115541.3723763253542.396180963098
0.41515591.4370151711545.696646127795
0.4215641.6779934371548.083479370978
0.42515692.00781619549.538206975889
0.4315742.3379849075550.039279645582
0.43515792.5790542691549.533025520726
0.4415842.6409005075548.02277547638
0.44515892.4332423952545.43191681726
0.4515941.8664383412541.759016999355
0.45515990.8525631750537.007703477052
0.4616039.3067474033531.185356548795
0.46516087.1487414644524.329344669711
0.4716134.3046491592516.509273326147
0.47516180.7087592094507.815906865498
0.4816226.3053927438498.363101683826
0.48516271.0506781041488.285890067818
0.4916314.9141629978477.775770830618
0.49516357.8801776934467.011874400868
0.516399.9488712987456.155019492558
0.50516441.1368555838445.504124394054
0.5116481.4774064772435.200852809795
0.51516521.0201913410425.502811916956
0.5216559.8305093977416.618609801011
0.52516597.9880522588408.738800898361
0.5316635.5852104767401.99257532981
0.53516672.7249696072396.57761758788
0.5416709.5184547916392.565624096125
0.54516746.0821958576390.022878898107
0.5516782.5351950698388.978309694573
0.55516818.9958867447389.395920031614
0.5616855.5790819223391.223676517132
0.56516892.3929921759394.323208000131
0.5716929.5364245479398.561329061461
0.57516967.0962346661403.766597695997
0.5817005.1451175129409.701604928265
0.58517043.7398052966416.174236725788
0.5917082.9197296732422.959178298393
0.59517122.7061914645429.794328326807
0.617163.1020653526436.487391924101
0.60517204.0920501992442.797268355208
0.6117245.6434580799448.514655952682
0.61517287.7075173631453.478023885914
0.6217330.2211477595457.528754926281
0.62517373.10914884460.50192259717
0.6317416.2867286968462.352909339368
0.63517459.6622868307462.99340929077
0.6417503.1403555902462.426832570386
0.64517546.6245980836460.65435446762
0.6517590.0207578586457.720745570533
0.65517633.2394570909453.670356223503
0.6617676.1987456543448.661848707104
0.66517718.8263132134442.780855880751
0.6717761.0612901048436.225548834796
0.67517802.8555797803429.090414798324
0.6817844.1746853039421.626265885924
0.68517884.9980139277413.940152342058
0.6917925.3186661263406.234734077785
0.69517965.1427374778398.658221611972
0.718004.4881822831391.336116356141
0.70518043.3833056432384.419982668444
0.7118081.8649648168377.955033205174
0.71518119.9765702082372.054418534309
0.7218157.765980692366.703997781819
0.72518195.2833869299361.91839057883
0.7318232.5792700226357.719169155904
0.73518269.7025118141354.033296627487
0.7418306.6987183813350.816939330782
0.74518343.6088009717347.966920239767
0.7518380.4678404249345.445888447541
0.75518417.3042435792343.124508086539
0.7618454.1391849208340.937309174295
0.76518490.9863152241338.783079638591
0.7718527.8517122279336.625485796060
0.77518564.7340471311334.379519892324
0.7818601.6249449516331.951419737874
0.78518638.5095260934329.316200366966
0.7918675.3671298257326.401540528828
0.79518712.1722363864323.168467319551
0.818748.8956214826319.608006855123
0.80518785.5057934488315.665772148767
0.8118821.9707778572311.341333309956
0.81518858.2603259816306.629380314434
0.8218894.3486317482301.545114212562
0.82518930.217646715296.131955881749
0.8318965.8610845085290.426812803615
0.83519001.2892051871284.561014156906
0.8419036.5344655803278.627724777718
0.84519071.6581116503272.807860396944
0.8519106.7577689413267.33628026223
0.85519141.9760499769262.445632344136
0.8619177.5101327646258.499231166457
0.86519213.6221596030255.859821229502
0.8719250.6501462927255.002976109722
0.87519289.0188662692256.458697415353
0.8819329.2498750063260.817809235529
0.88519371.9694705189268.685892714422
0.8919417.9129655573280.721420397415
0.89519467.9232190512297.473121433703
0.919522.9410117458319.406447141202
0.90519583.9846635123346.752748345250
0.9119652.1164269071379.499459965723
0.91519728.3938384265417.228054681219
0.9219813.8055678127459.135999553459
0.92519909.1935492817503.877459303644
0.9320015.166355882549.59278461056
0.93520132.0126533405593.884773494345
0.9420259.6273828100633.861642301478
0.94520397.4655104073666.346199181283
0.9520544.5362031533688.115282204759
0.95520699.4408680628696.331356509719
0.9620860.4388108275689.081355072977
0.96521025.4947686838666.023271618416
0.9721192.2315249264629.085264008575
0.97521357.6995027269583.08060429723
0.9821517.9194960394535.834818475453
0.98521667.2947057992496.996504405457
0.9921798.2365920772474.300900178291


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')