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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, 16 Oct 2009 04:33:05 -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/16/t1255689326it6chrj5qqnybwo.htm/, Retrieved Tue, 30 Apr 2024 04:49:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46947, Retrieved Tue, 30 Apr 2024 04:49:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [SHW_WS3_Q3] [2009-10-16 10:33:05] [f0f26816ac6124f58333f11f6c174000] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.88
3.98
3.29
2.88
3.22
3.62
3.82
3.54
2.53
2.22
2.85
2.78
2.28
2.26
2.71
2.77
2.77
2.64
2.56
2.07
2.32
2.16
2.23
2.4
2.84
2.77
2.93
2.91
2.69
2.38
2.58
3.19
2.82
2.72
2.53
2.7
2.42
2.5
2.31
2.41
2.56
2.76
2.71
2.44
2.46
2.12
1.99
1.86
1.88
1.82
1.74
1.71
1.38
1.27
1.19
1.28
1.19
1.22
1.47
1.46
1.96
1.88
2.03
2.04
1.9
1.8
1.92
1.92
1.97
2.46
2.36
2.53
2.31
1.98
1.46
1.26
1.58
1.74
1.89
1.85
1.62
1.3
1.42
1.15
0.42
0.74
1.02
1.51
1.86
1.59
1.03
0.44
0.82
0.86
0.58
0.59
0.95
0.98
1.23
1.17
0.84
0.74
0.65
0.91
1.19
1.3
1.53
1.94
1.79
1.95
2.26
2.04
2.16
2.75
2.79
2.88
3.36
2.97
3.1
2.49
2.2
2.25
2.09
2.79
3.14
2.93
2.65
2.67
2.26
2.35
2.13
2.18
2.9
2.63
2.67
1.81
1.33
0.88
1.28
1.26
1.26
1.29
1.1
1.37
1.21
1.74
1.76
1.48
1.04
1.62
1.49
1.79
1.8
1.58
1.86
1.74
1.59
1.26
1.13
1.92
2.61
2.26
2.41
2.26
2.03
2.86
2.55
2.27
2.26
2.57
3.07
2.76
2.51
2.87
3.14
3.11
3.16
2.47
2.57
2.89
2.63
2.38
1.69
1.96
2.19
1.87
1.6
1.63
1.22
1.21
1.49
1.64
1.66
1.77
1.82
1.78
1.28
1.29
1.37
1.12
1.51
2.24
2.94
3.09
3.46
3.64
4.39
4.15
5.21
5.8
5.91
5.39
5.46
4.72
3.14
2.63
2.32
1.93
0.62
0.6
-0.37
-1.1
-1.68
-0.78

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46947&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46947&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46947&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.8629490048847030.562662398366363
0.02-0.04791041180161520.517944404878938
0.030.4131097759916570.246070564311763
0.040.6028297201064360.123200965552828
0.050.7012838689106450.112091198007341
0.060.7824772713934920.114236769978475
0.070.857225825861910.111942214395775
0.080.925513814741220.109204685613359
0.090.9878979797568670.105546547837994
0.11.044221297148640.0983017276271314
0.111.093375691808530.0870083926604755
0.121.134486600384950.0735564854881498
0.131.167761188598890.0607714141424663
0.141.194490445234290.0508295540135485
0.151.216487723911730.0443976342182521
0.161.235514417125480.0411169377566261
0.171.253091377111280.0408187090221100
0.181.27064673688110.0440149409440606
0.191.289639242227960.051087991778106
0.21.311387883185120.061212359290644
0.211.336675302968130.0722734292488222
0.221.365434381827130.0817429870771663
0.231.396783303291200.0878177712727744
0.241.429416546755730.0901475482449331
0.251.462116837561780.0896912456848176
0.261.49410958591860.0879799294246137
0.271.525133149140900.0862784681390758
0.281.555288048562190.0852097132597564
0.291.584810633374840.0847837896233398
0.31.613880360882800.0845940571564936
0.311.642502641922570.0839961589604476
0.321.670477446388360.0823646736270814
0.331.697456539087880.0793756029578426
0.341.723070732312390.0751985189296622
0.351.747072663074980.0704502142995756
0.361.769426744839240.0659097614987945
0.371.79030835706290.0621852354059787
0.381.810028685444270.0595411494018366
0.391.828939134010860.057941184946274
0.41.847367512930900.0572285027182149
0.411.865607314206930.0573311809594112
0.421.883947588896590.0583276959004992
0.431.902713312422950.0604304920166006
0.441.922286923719010.0638520817794847
0.451.943092737671000.0686938737598275
0.461.965539447214770.0747802229630742
0.471.989929413693690.0815937621292686
0.482.016356508758350.0882714688882985
0.492.044624253960020.0937635152406998
0.52.074217779236720.0970415979906178
0.512.104352920824220.0973704442181837
0.522.134104750140810.094550998551249
0.532.162592159628550.08904858499582
0.542.189173255737830.0819004317766179
0.552.213595858420530.0745756554309441
0.562.236053687915260.0685560111764123
0.572.257123618526130.0649547592256054
0.582.277598202430450.0641801509980438
0.592.298267114617390.0658166964921602
0.62.319721969683330.0688654487588679
0.612.342247154769690.0721959497640344
0.622.365818608249020.0749009476486088
0.632.390185466037210.076462751243865
0.642.414983350075890.0767679205929688
0.652.439834612266670.0759043156449067
0.662.464418091784630.0741425440135477
0.672.488514011335660.071844317841236
0.682.512032177720700.0694268466797862
0.692.535019122802720.0673297660855579
0.72.557632280550110.0658340417675268
0.712.580079922468390.0649835713634783
0.722.602546143602490.0645717283829971
0.732.625129896678980.064266885597436
0.742.647816730378090.0637187945892349
0.752.670485587904150.0626771636685909
0.762.692949973219710.0610155851934516
0.772.715038299559420.058876453852403
0.782.736703908375940.0567364169403436
0.792.758111344400880.0552551370702278
0.82.779619804273560.0549104070184917
0.812.801649004912950.0555887325122393
0.822.824557070018250.0568403064155245
0.832.848734457815960.0587471482252123
0.842.874949738517740.0626161197340683
0.852.904614108822240.0701794293999965
0.862.939431541445030.0813059910895846
0.872.980335218015240.0925652267821795
0.883.026650785902170.099439015170832
0.893.077051577035750.101790964850326
0.93.132667036386280.107718454273756
0.913.199908793687730.128915123409887
0.923.289316393924470.167455079863372
0.933.410386662832520.212116720558205
0.943.569204497077630.253239073891133
0.953.777837264206210.303369398288298
0.964.073505366186040.397986969493425
0.974.509528534396330.520733835875483
0.985.058236070051920.499478579915023
0.995.58298019592230.311741601422405

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.862949004884703 & 0.562662398366363 \tabularnewline
0.02 & -0.0479104118016152 & 0.517944404878938 \tabularnewline
0.03 & 0.413109775991657 & 0.246070564311763 \tabularnewline
0.04 & 0.602829720106436 & 0.123200965552828 \tabularnewline
0.05 & 0.701283868910645 & 0.112091198007341 \tabularnewline
0.06 & 0.782477271393492 & 0.114236769978475 \tabularnewline
0.07 & 0.85722582586191 & 0.111942214395775 \tabularnewline
0.08 & 0.92551381474122 & 0.109204685613359 \tabularnewline
0.09 & 0.987897979756867 & 0.105546547837994 \tabularnewline
0.1 & 1.04422129714864 & 0.0983017276271314 \tabularnewline
0.11 & 1.09337569180853 & 0.0870083926604755 \tabularnewline
0.12 & 1.13448660038495 & 0.0735564854881498 \tabularnewline
0.13 & 1.16776118859889 & 0.0607714141424663 \tabularnewline
0.14 & 1.19449044523429 & 0.0508295540135485 \tabularnewline
0.15 & 1.21648772391173 & 0.0443976342182521 \tabularnewline
0.16 & 1.23551441712548 & 0.0411169377566261 \tabularnewline
0.17 & 1.25309137711128 & 0.0408187090221100 \tabularnewline
0.18 & 1.2706467368811 & 0.0440149409440606 \tabularnewline
0.19 & 1.28963924222796 & 0.051087991778106 \tabularnewline
0.2 & 1.31138788318512 & 0.061212359290644 \tabularnewline
0.21 & 1.33667530296813 & 0.0722734292488222 \tabularnewline
0.22 & 1.36543438182713 & 0.0817429870771663 \tabularnewline
0.23 & 1.39678330329120 & 0.0878177712727744 \tabularnewline
0.24 & 1.42941654675573 & 0.0901475482449331 \tabularnewline
0.25 & 1.46211683756178 & 0.0896912456848176 \tabularnewline
0.26 & 1.4941095859186 & 0.0879799294246137 \tabularnewline
0.27 & 1.52513314914090 & 0.0862784681390758 \tabularnewline
0.28 & 1.55528804856219 & 0.0852097132597564 \tabularnewline
0.29 & 1.58481063337484 & 0.0847837896233398 \tabularnewline
0.3 & 1.61388036088280 & 0.0845940571564936 \tabularnewline
0.31 & 1.64250264192257 & 0.0839961589604476 \tabularnewline
0.32 & 1.67047744638836 & 0.0823646736270814 \tabularnewline
0.33 & 1.69745653908788 & 0.0793756029578426 \tabularnewline
0.34 & 1.72307073231239 & 0.0751985189296622 \tabularnewline
0.35 & 1.74707266307498 & 0.0704502142995756 \tabularnewline
0.36 & 1.76942674483924 & 0.0659097614987945 \tabularnewline
0.37 & 1.7903083570629 & 0.0621852354059787 \tabularnewline
0.38 & 1.81002868544427 & 0.0595411494018366 \tabularnewline
0.39 & 1.82893913401086 & 0.057941184946274 \tabularnewline
0.4 & 1.84736751293090 & 0.0572285027182149 \tabularnewline
0.41 & 1.86560731420693 & 0.0573311809594112 \tabularnewline
0.42 & 1.88394758889659 & 0.0583276959004992 \tabularnewline
0.43 & 1.90271331242295 & 0.0604304920166006 \tabularnewline
0.44 & 1.92228692371901 & 0.0638520817794847 \tabularnewline
0.45 & 1.94309273767100 & 0.0686938737598275 \tabularnewline
0.46 & 1.96553944721477 & 0.0747802229630742 \tabularnewline
0.47 & 1.98992941369369 & 0.0815937621292686 \tabularnewline
0.48 & 2.01635650875835 & 0.0882714688882985 \tabularnewline
0.49 & 2.04462425396002 & 0.0937635152406998 \tabularnewline
0.5 & 2.07421777923672 & 0.0970415979906178 \tabularnewline
0.51 & 2.10435292082422 & 0.0973704442181837 \tabularnewline
0.52 & 2.13410475014081 & 0.094550998551249 \tabularnewline
0.53 & 2.16259215962855 & 0.08904858499582 \tabularnewline
0.54 & 2.18917325573783 & 0.0819004317766179 \tabularnewline
0.55 & 2.21359585842053 & 0.0745756554309441 \tabularnewline
0.56 & 2.23605368791526 & 0.0685560111764123 \tabularnewline
0.57 & 2.25712361852613 & 0.0649547592256054 \tabularnewline
0.58 & 2.27759820243045 & 0.0641801509980438 \tabularnewline
0.59 & 2.29826711461739 & 0.0658166964921602 \tabularnewline
0.6 & 2.31972196968333 & 0.0688654487588679 \tabularnewline
0.61 & 2.34224715476969 & 0.0721959497640344 \tabularnewline
0.62 & 2.36581860824902 & 0.0749009476486088 \tabularnewline
0.63 & 2.39018546603721 & 0.076462751243865 \tabularnewline
0.64 & 2.41498335007589 & 0.0767679205929688 \tabularnewline
0.65 & 2.43983461226667 & 0.0759043156449067 \tabularnewline
0.66 & 2.46441809178463 & 0.0741425440135477 \tabularnewline
0.67 & 2.48851401133566 & 0.071844317841236 \tabularnewline
0.68 & 2.51203217772070 & 0.0694268466797862 \tabularnewline
0.69 & 2.53501912280272 & 0.0673297660855579 \tabularnewline
0.7 & 2.55763228055011 & 0.0658340417675268 \tabularnewline
0.71 & 2.58007992246839 & 0.0649835713634783 \tabularnewline
0.72 & 2.60254614360249 & 0.0645717283829971 \tabularnewline
0.73 & 2.62512989667898 & 0.064266885597436 \tabularnewline
0.74 & 2.64781673037809 & 0.0637187945892349 \tabularnewline
0.75 & 2.67048558790415 & 0.0626771636685909 \tabularnewline
0.76 & 2.69294997321971 & 0.0610155851934516 \tabularnewline
0.77 & 2.71503829955942 & 0.058876453852403 \tabularnewline
0.78 & 2.73670390837594 & 0.0567364169403436 \tabularnewline
0.79 & 2.75811134440088 & 0.0552551370702278 \tabularnewline
0.8 & 2.77961980427356 & 0.0549104070184917 \tabularnewline
0.81 & 2.80164900491295 & 0.0555887325122393 \tabularnewline
0.82 & 2.82455707001825 & 0.0568403064155245 \tabularnewline
0.83 & 2.84873445781596 & 0.0587471482252123 \tabularnewline
0.84 & 2.87494973851774 & 0.0626161197340683 \tabularnewline
0.85 & 2.90461410882224 & 0.0701794293999965 \tabularnewline
0.86 & 2.93943154144503 & 0.0813059910895846 \tabularnewline
0.87 & 2.98033521801524 & 0.0925652267821795 \tabularnewline
0.88 & 3.02665078590217 & 0.099439015170832 \tabularnewline
0.89 & 3.07705157703575 & 0.101790964850326 \tabularnewline
0.9 & 3.13266703638628 & 0.107718454273756 \tabularnewline
0.91 & 3.19990879368773 & 0.128915123409887 \tabularnewline
0.92 & 3.28931639392447 & 0.167455079863372 \tabularnewline
0.93 & 3.41038666283252 & 0.212116720558205 \tabularnewline
0.94 & 3.56920449707763 & 0.253239073891133 \tabularnewline
0.95 & 3.77783726420621 & 0.303369398288298 \tabularnewline
0.96 & 4.07350536618604 & 0.397986969493425 \tabularnewline
0.97 & 4.50952853439633 & 0.520733835875483 \tabularnewline
0.98 & 5.05823607005192 & 0.499478579915023 \tabularnewline
0.99 & 5.5829801959223 & 0.311741601422405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46947&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]-0.862949004884703[/C][C]0.562662398366363[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0479104118016152[/C][C]0.517944404878938[/C][/ROW]
[ROW][C]0.03[/C][C]0.413109775991657[/C][C]0.246070564311763[/C][/ROW]
[ROW][C]0.04[/C][C]0.602829720106436[/C][C]0.123200965552828[/C][/ROW]
[ROW][C]0.05[/C][C]0.701283868910645[/C][C]0.112091198007341[/C][/ROW]
[ROW][C]0.06[/C][C]0.782477271393492[/C][C]0.114236769978475[/C][/ROW]
[ROW][C]0.07[/C][C]0.85722582586191[/C][C]0.111942214395775[/C][/ROW]
[ROW][C]0.08[/C][C]0.92551381474122[/C][C]0.109204685613359[/C][/ROW]
[ROW][C]0.09[/C][C]0.987897979756867[/C][C]0.105546547837994[/C][/ROW]
[ROW][C]0.1[/C][C]1.04422129714864[/C][C]0.0983017276271314[/C][/ROW]
[ROW][C]0.11[/C][C]1.09337569180853[/C][C]0.0870083926604755[/C][/ROW]
[ROW][C]0.12[/C][C]1.13448660038495[/C][C]0.0735564854881498[/C][/ROW]
[ROW][C]0.13[/C][C]1.16776118859889[/C][C]0.0607714141424663[/C][/ROW]
[ROW][C]0.14[/C][C]1.19449044523429[/C][C]0.0508295540135485[/C][/ROW]
[ROW][C]0.15[/C][C]1.21648772391173[/C][C]0.0443976342182521[/C][/ROW]
[ROW][C]0.16[/C][C]1.23551441712548[/C][C]0.0411169377566261[/C][/ROW]
[ROW][C]0.17[/C][C]1.25309137711128[/C][C]0.0408187090221100[/C][/ROW]
[ROW][C]0.18[/C][C]1.2706467368811[/C][C]0.0440149409440606[/C][/ROW]
[ROW][C]0.19[/C][C]1.28963924222796[/C][C]0.051087991778106[/C][/ROW]
[ROW][C]0.2[/C][C]1.31138788318512[/C][C]0.061212359290644[/C][/ROW]
[ROW][C]0.21[/C][C]1.33667530296813[/C][C]0.0722734292488222[/C][/ROW]
[ROW][C]0.22[/C][C]1.36543438182713[/C][C]0.0817429870771663[/C][/ROW]
[ROW][C]0.23[/C][C]1.39678330329120[/C][C]0.0878177712727744[/C][/ROW]
[ROW][C]0.24[/C][C]1.42941654675573[/C][C]0.0901475482449331[/C][/ROW]
[ROW][C]0.25[/C][C]1.46211683756178[/C][C]0.0896912456848176[/C][/ROW]
[ROW][C]0.26[/C][C]1.4941095859186[/C][C]0.0879799294246137[/C][/ROW]
[ROW][C]0.27[/C][C]1.52513314914090[/C][C]0.0862784681390758[/C][/ROW]
[ROW][C]0.28[/C][C]1.55528804856219[/C][C]0.0852097132597564[/C][/ROW]
[ROW][C]0.29[/C][C]1.58481063337484[/C][C]0.0847837896233398[/C][/ROW]
[ROW][C]0.3[/C][C]1.61388036088280[/C][C]0.0845940571564936[/C][/ROW]
[ROW][C]0.31[/C][C]1.64250264192257[/C][C]0.0839961589604476[/C][/ROW]
[ROW][C]0.32[/C][C]1.67047744638836[/C][C]0.0823646736270814[/C][/ROW]
[ROW][C]0.33[/C][C]1.69745653908788[/C][C]0.0793756029578426[/C][/ROW]
[ROW][C]0.34[/C][C]1.72307073231239[/C][C]0.0751985189296622[/C][/ROW]
[ROW][C]0.35[/C][C]1.74707266307498[/C][C]0.0704502142995756[/C][/ROW]
[ROW][C]0.36[/C][C]1.76942674483924[/C][C]0.0659097614987945[/C][/ROW]
[ROW][C]0.37[/C][C]1.7903083570629[/C][C]0.0621852354059787[/C][/ROW]
[ROW][C]0.38[/C][C]1.81002868544427[/C][C]0.0595411494018366[/C][/ROW]
[ROW][C]0.39[/C][C]1.82893913401086[/C][C]0.057941184946274[/C][/ROW]
[ROW][C]0.4[/C][C]1.84736751293090[/C][C]0.0572285027182149[/C][/ROW]
[ROW][C]0.41[/C][C]1.86560731420693[/C][C]0.0573311809594112[/C][/ROW]
[ROW][C]0.42[/C][C]1.88394758889659[/C][C]0.0583276959004992[/C][/ROW]
[ROW][C]0.43[/C][C]1.90271331242295[/C][C]0.0604304920166006[/C][/ROW]
[ROW][C]0.44[/C][C]1.92228692371901[/C][C]0.0638520817794847[/C][/ROW]
[ROW][C]0.45[/C][C]1.94309273767100[/C][C]0.0686938737598275[/C][/ROW]
[ROW][C]0.46[/C][C]1.96553944721477[/C][C]0.0747802229630742[/C][/ROW]
[ROW][C]0.47[/C][C]1.98992941369369[/C][C]0.0815937621292686[/C][/ROW]
[ROW][C]0.48[/C][C]2.01635650875835[/C][C]0.0882714688882985[/C][/ROW]
[ROW][C]0.49[/C][C]2.04462425396002[/C][C]0.0937635152406998[/C][/ROW]
[ROW][C]0.5[/C][C]2.07421777923672[/C][C]0.0970415979906178[/C][/ROW]
[ROW][C]0.51[/C][C]2.10435292082422[/C][C]0.0973704442181837[/C][/ROW]
[ROW][C]0.52[/C][C]2.13410475014081[/C][C]0.094550998551249[/C][/ROW]
[ROW][C]0.53[/C][C]2.16259215962855[/C][C]0.08904858499582[/C][/ROW]
[ROW][C]0.54[/C][C]2.18917325573783[/C][C]0.0819004317766179[/C][/ROW]
[ROW][C]0.55[/C][C]2.21359585842053[/C][C]0.0745756554309441[/C][/ROW]
[ROW][C]0.56[/C][C]2.23605368791526[/C][C]0.0685560111764123[/C][/ROW]
[ROW][C]0.57[/C][C]2.25712361852613[/C][C]0.0649547592256054[/C][/ROW]
[ROW][C]0.58[/C][C]2.27759820243045[/C][C]0.0641801509980438[/C][/ROW]
[ROW][C]0.59[/C][C]2.29826711461739[/C][C]0.0658166964921602[/C][/ROW]
[ROW][C]0.6[/C][C]2.31972196968333[/C][C]0.0688654487588679[/C][/ROW]
[ROW][C]0.61[/C][C]2.34224715476969[/C][C]0.0721959497640344[/C][/ROW]
[ROW][C]0.62[/C][C]2.36581860824902[/C][C]0.0749009476486088[/C][/ROW]
[ROW][C]0.63[/C][C]2.39018546603721[/C][C]0.076462751243865[/C][/ROW]
[ROW][C]0.64[/C][C]2.41498335007589[/C][C]0.0767679205929688[/C][/ROW]
[ROW][C]0.65[/C][C]2.43983461226667[/C][C]0.0759043156449067[/C][/ROW]
[ROW][C]0.66[/C][C]2.46441809178463[/C][C]0.0741425440135477[/C][/ROW]
[ROW][C]0.67[/C][C]2.48851401133566[/C][C]0.071844317841236[/C][/ROW]
[ROW][C]0.68[/C][C]2.51203217772070[/C][C]0.0694268466797862[/C][/ROW]
[ROW][C]0.69[/C][C]2.53501912280272[/C][C]0.0673297660855579[/C][/ROW]
[ROW][C]0.7[/C][C]2.55763228055011[/C][C]0.0658340417675268[/C][/ROW]
[ROW][C]0.71[/C][C]2.58007992246839[/C][C]0.0649835713634783[/C][/ROW]
[ROW][C]0.72[/C][C]2.60254614360249[/C][C]0.0645717283829971[/C][/ROW]
[ROW][C]0.73[/C][C]2.62512989667898[/C][C]0.064266885597436[/C][/ROW]
[ROW][C]0.74[/C][C]2.64781673037809[/C][C]0.0637187945892349[/C][/ROW]
[ROW][C]0.75[/C][C]2.67048558790415[/C][C]0.0626771636685909[/C][/ROW]
[ROW][C]0.76[/C][C]2.69294997321971[/C][C]0.0610155851934516[/C][/ROW]
[ROW][C]0.77[/C][C]2.71503829955942[/C][C]0.058876453852403[/C][/ROW]
[ROW][C]0.78[/C][C]2.73670390837594[/C][C]0.0567364169403436[/C][/ROW]
[ROW][C]0.79[/C][C]2.75811134440088[/C][C]0.0552551370702278[/C][/ROW]
[ROW][C]0.8[/C][C]2.77961980427356[/C][C]0.0549104070184917[/C][/ROW]
[ROW][C]0.81[/C][C]2.80164900491295[/C][C]0.0555887325122393[/C][/ROW]
[ROW][C]0.82[/C][C]2.82455707001825[/C][C]0.0568403064155245[/C][/ROW]
[ROW][C]0.83[/C][C]2.84873445781596[/C][C]0.0587471482252123[/C][/ROW]
[ROW][C]0.84[/C][C]2.87494973851774[/C][C]0.0626161197340683[/C][/ROW]
[ROW][C]0.85[/C][C]2.90461410882224[/C][C]0.0701794293999965[/C][/ROW]
[ROW][C]0.86[/C][C]2.93943154144503[/C][C]0.0813059910895846[/C][/ROW]
[ROW][C]0.87[/C][C]2.98033521801524[/C][C]0.0925652267821795[/C][/ROW]
[ROW][C]0.88[/C][C]3.02665078590217[/C][C]0.099439015170832[/C][/ROW]
[ROW][C]0.89[/C][C]3.07705157703575[/C][C]0.101790964850326[/C][/ROW]
[ROW][C]0.9[/C][C]3.13266703638628[/C][C]0.107718454273756[/C][/ROW]
[ROW][C]0.91[/C][C]3.19990879368773[/C][C]0.128915123409887[/C][/ROW]
[ROW][C]0.92[/C][C]3.28931639392447[/C][C]0.167455079863372[/C][/ROW]
[ROW][C]0.93[/C][C]3.41038666283252[/C][C]0.212116720558205[/C][/ROW]
[ROW][C]0.94[/C][C]3.56920449707763[/C][C]0.253239073891133[/C][/ROW]
[ROW][C]0.95[/C][C]3.77783726420621[/C][C]0.303369398288298[/C][/ROW]
[ROW][C]0.96[/C][C]4.07350536618604[/C][C]0.397986969493425[/C][/ROW]
[ROW][C]0.97[/C][C]4.50952853439633[/C][C]0.520733835875483[/C][/ROW]
[ROW][C]0.98[/C][C]5.05823607005192[/C][C]0.499478579915023[/C][/ROW]
[ROW][C]0.99[/C][C]5.5829801959223[/C][C]0.311741601422405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46947&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46947&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
0.01-0.8629490048847030.562662398366363
0.02-0.04791041180161520.517944404878938
0.030.4131097759916570.246070564311763
0.040.6028297201064360.123200965552828
0.050.7012838689106450.112091198007341
0.060.7824772713934920.114236769978475
0.070.857225825861910.111942214395775
0.080.925513814741220.109204685613359
0.090.9878979797568670.105546547837994
0.11.044221297148640.0983017276271314
0.111.093375691808530.0870083926604755
0.121.134486600384950.0735564854881498
0.131.167761188598890.0607714141424663
0.141.194490445234290.0508295540135485
0.151.216487723911730.0443976342182521
0.161.235514417125480.0411169377566261
0.171.253091377111280.0408187090221100
0.181.27064673688110.0440149409440606
0.191.289639242227960.051087991778106
0.21.311387883185120.061212359290644
0.211.336675302968130.0722734292488222
0.221.365434381827130.0817429870771663
0.231.396783303291200.0878177712727744
0.241.429416546755730.0901475482449331
0.251.462116837561780.0896912456848176
0.261.49410958591860.0879799294246137
0.271.525133149140900.0862784681390758
0.281.555288048562190.0852097132597564
0.291.584810633374840.0847837896233398
0.31.613880360882800.0845940571564936
0.311.642502641922570.0839961589604476
0.321.670477446388360.0823646736270814
0.331.697456539087880.0793756029578426
0.341.723070732312390.0751985189296622
0.351.747072663074980.0704502142995756
0.361.769426744839240.0659097614987945
0.371.79030835706290.0621852354059787
0.381.810028685444270.0595411494018366
0.391.828939134010860.057941184946274
0.41.847367512930900.0572285027182149
0.411.865607314206930.0573311809594112
0.421.883947588896590.0583276959004992
0.431.902713312422950.0604304920166006
0.441.922286923719010.0638520817794847
0.451.943092737671000.0686938737598275
0.461.965539447214770.0747802229630742
0.471.989929413693690.0815937621292686
0.482.016356508758350.0882714688882985
0.492.044624253960020.0937635152406998
0.52.074217779236720.0970415979906178
0.512.104352920824220.0973704442181837
0.522.134104750140810.094550998551249
0.532.162592159628550.08904858499582
0.542.189173255737830.0819004317766179
0.552.213595858420530.0745756554309441
0.562.236053687915260.0685560111764123
0.572.257123618526130.0649547592256054
0.582.277598202430450.0641801509980438
0.592.298267114617390.0658166964921602
0.62.319721969683330.0688654487588679
0.612.342247154769690.0721959497640344
0.622.365818608249020.0749009476486088
0.632.390185466037210.076462751243865
0.642.414983350075890.0767679205929688
0.652.439834612266670.0759043156449067
0.662.464418091784630.0741425440135477
0.672.488514011335660.071844317841236
0.682.512032177720700.0694268466797862
0.692.535019122802720.0673297660855579
0.72.557632280550110.0658340417675268
0.712.580079922468390.0649835713634783
0.722.602546143602490.0645717283829971
0.732.625129896678980.064266885597436
0.742.647816730378090.0637187945892349
0.752.670485587904150.0626771636685909
0.762.692949973219710.0610155851934516
0.772.715038299559420.058876453852403
0.782.736703908375940.0567364169403436
0.792.758111344400880.0552551370702278
0.82.779619804273560.0549104070184917
0.812.801649004912950.0555887325122393
0.822.824557070018250.0568403064155245
0.832.848734457815960.0587471482252123
0.842.874949738517740.0626161197340683
0.852.904614108822240.0701794293999965
0.862.939431541445030.0813059910895846
0.872.980335218015240.0925652267821795
0.883.026650785902170.099439015170832
0.893.077051577035750.101790964850326
0.93.132667036386280.107718454273756
0.913.199908793687730.128915123409887
0.923.289316393924470.167455079863372
0.933.410386662832520.212116720558205
0.943.569204497077630.253239073891133
0.953.777837264206210.303369398288298
0.964.073505366186040.397986969493425
0.974.509528534396330.520733835875483
0.985.058236070051920.499478579915023
0.995.58298019592230.311741601422405


Figures (Output of Computation)

Input Parameters & R Code

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')