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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 09:40:03 -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/2008/Oct/26/t1225035652tpt598gcyn5kddy.htm/, Retrieved Tue, 28 May 2024 20:12:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18944, Retrieved Tue, 28 May 2024 20:12:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid mannen] [2008-10-13 15:28:04] [7d3039e6253bb5fb3b26df1537d500b4]
-   PD  [Univariate Data Series] [] [2008-10-20 14:53:04] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD    [Central Tendency] [] [2008-10-26 15:32:39] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP       [Stem-and-leaf Plot] [] [2008-10-26 15:35:41] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD        [Percentiles] [] [2008-10-26 15:38:00] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP             [Harrell-Davis Quantiles] [] [2008-10-26 15:40:03] [e0f4dc76ea1a8276fe566258b977cec4] [Current]
- RMPD              [Central Tendency] [] [2008-10-26 15:42:50] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                [Stem-and-leaf Plot] [] [2008-10-26 15:44:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                    [Percentiles] [] [2008-10-26 15:45:16] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                      [Harrell-Davis Quantiles] [] [2008-10-26 15:46:52] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                      [Central Tendency] [] [2008-10-26 15:49:47] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                        [Stem-and-leaf Plot] [] [2008-10-26 15:51:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                            [Percentiles] [] [2008-10-26 15:52:22] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                              [Harrell-Davis Quantiles] [] [2008-10-26 15:53:29] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                              [Central Tendency] [] [2008-10-26 15:55:24] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                                [Stem-and-leaf Plot] [] [2008-10-26 15:56:53] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                    [Percentiles] [] [2008-10-26 15:58:01] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                      [Harrell-Davis Quantiles] [] [2008-10-26 15:59:16] [af90f76a5211a482a7c35f2c76d2fd61]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.7500
6.7700
6.8200
6.8800
6.8100
6.8700
6.9100
6.9800
7.0400
6.9900
7.0800
7.1300
7.1000
7.0200
7.0300
7.1200
7.1100
7.0900
7.0200
7.0300
7.0600
7.0500
7.1100
7.0600
7.0500
7.1100
7.0900
7.1300
7.0300
7.0600
7.1100
7.0800
7.1300
7.0000
7.0200
6.9600
6.9800
7.0200
7.0200
7.0600
7.0200
6.9400
6.9700
6.9700
6.9400
6.9300
7.0000
6.9700
6.9700
6.9800
6.9200
7.0000
6.9400
6.9700
6.9300
6.9200
6.8400
6.8600
6.8600
6.8400
6.6200
6.6900
6.6200
6.6800
6.6700
6.6900
6.6900
6.6200
6.6500
6.6600
6.6300
6.6200
6.6500
6.6800
6.6600
6.6700
6.7100
6.6800
6.6300
6.6900

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18944&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]4 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=18944&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18944&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.620129433375260.000479341290892456
0.026.62067496416740.00191700985701374
0.036.621996191081190.00435538475771757
0.046.624351641168370.00734347170039441
0.056.627782854351890.0102591071146241
0.066.63211656662210.0126079131901516
0.076.637050333612770.0141433978956537
0.086.642255852877710.0148486264344401
0.096.64745606905330.0149052693191615
0.16.652462960972780.0145700609417339
0.116.657181897445390.0140921886242999
0.126.661596140241320.0136644573874663
0.136.665745810315430.0134168942804664
0.146.669711686577910.0134803189248847
0.156.673607742087410.0140128694615764
0.166.677580243209230.0152138342789203
0.176.681807798410380.0173123021261879
0.186.68649651928120.0204504411614385
0.196.691866658810190.0246600836071438
0.26.698130447964230.0298400068612244
0.216.705464191722640.0357086430679665
0.226.713980109993210.0418901994954523
0.236.72370430494710.0479317221711846
0.246.734566350965050.0533489414128809
0.256.746403545169190.0577363693820336
0.266.758979498177380.0608018427192106
0.276.772013446045410.0624300912229415
0.286.785214360591530.0626670063721675
0.296.79831322468990.0616997657591561
0.36.811087804471840.0598217083333921
0.316.823376477453950.0573697569149366
0.326.835080438895490.0546299700141443
0.336.846156132071070.0518573629446563
0.346.856601437777920.0491868901948095
0.356.866439737650550.0467002428824933
0.366.875705492445930.0443685329037881
0.376.884433764044670.0421437882027337
0.386.892654598264280.0399815757716923
0.396.90039180517940.0378452389756974
0.46.907664739482540.0357173919516995
0.416.91449133731010.0336298457692306
0.426.920890871679620.0316034612475199
0.436.926885472119120.0296810547074974
0.446.932500171882860.0278847536881794
0.456.937761862112810.0262227308637339
0.466.942697880798020.0246977771669530
0.476.947334985853260.0232897421065288
0.486.951699203733320.0219862824873383
0.496.955816633113370.0207839220896025
0.56.959714872454140.0197037163879959
0.516.963424465376530.0187604147224780
0.526.966979695428510.0179953879459173
0.536.970418215920870.0174399924294321
0.546.97377931104140.0171115277850980
0.556.97710095417890.0169910447834725
0.566.980416156970510.0170513807745420
0.576.983749310828760.0172210245185879
0.586.987113273870930.0174275291947474
0.596.990507852565720.0175899020019094
0.66.993920100968140.0176405280188903
0.616.99732655828740.017522926364096
0.627.000697218168760.0172067042761434
0.637.004000718050050.0166994267673114
0.647.007209997615740.0160379403751600
0.657.010307540478730.0152806963666960
0.667.013289313878630.0145105277448249
0.677.016166673923240.0138182625655317
0.687.018965802272160.0132956220407844
0.697.021724649365340.0130015287932934
0.77.024487817446760.0129647979055955
0.717.027300243138210.0131671703809971
0.727.030200847559940.0135485806519860
0.737.033217432656360.0140327751557110
0.747.036363956446810.0145250075293013
0.757.039640893974650.0149517080945543
0.767.043038717509270.0152618571901661
0.777.04654372006320.0154452717214343
0.787.050144658000780.0155343380808188
0.797.053838255921250.0155823077871753
0.87.05763172806950.0156575461159906
0.817.061541203548620.0158155343359780
0.827.065586123011570.0160559263656327
0.837.069780881255770.0163349936090107
0.847.074125735169190.0165719269187767
0.857.078599036856440.0166650456527435
0.867.083152446602360.0165181902555945
0.877.087710617275740.0160491757210050
0.887.092177464953570.0152054280357988
0.897.096452067733770.0139808728614038
0.97.100456424204220.0124484691138670
0.917.104171881600560.0108033056339380
0.927.107669853199450.00937870264527035
0.937.111109804842670.0085599950880283
0.947.114675671451240.00849574772294904
0.957.118447501607510.0087414752923704
0.967.122264055838550.0084157209458002
0.977.125693903906240.00681512031458957
0.987.128219443784850.00408207553842479
0.997.129580571179070.00138121623404080

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.62012943337526 & 0.000479341290892456 \tabularnewline
0.02 & 6.6206749641674 & 0.00191700985701374 \tabularnewline
0.03 & 6.62199619108119 & 0.00435538475771757 \tabularnewline
0.04 & 6.62435164116837 & 0.00734347170039441 \tabularnewline
0.05 & 6.62778285435189 & 0.0102591071146241 \tabularnewline
0.06 & 6.6321165666221 & 0.0126079131901516 \tabularnewline
0.07 & 6.63705033361277 & 0.0141433978956537 \tabularnewline
0.08 & 6.64225585287771 & 0.0148486264344401 \tabularnewline
0.09 & 6.6474560690533 & 0.0149052693191615 \tabularnewline
0.1 & 6.65246296097278 & 0.0145700609417339 \tabularnewline
0.11 & 6.65718189744539 & 0.0140921886242999 \tabularnewline
0.12 & 6.66159614024132 & 0.0136644573874663 \tabularnewline
0.13 & 6.66574581031543 & 0.0134168942804664 \tabularnewline
0.14 & 6.66971168657791 & 0.0134803189248847 \tabularnewline
0.15 & 6.67360774208741 & 0.0140128694615764 \tabularnewline
0.16 & 6.67758024320923 & 0.0152138342789203 \tabularnewline
0.17 & 6.68180779841038 & 0.0173123021261879 \tabularnewline
0.18 & 6.6864965192812 & 0.0204504411614385 \tabularnewline
0.19 & 6.69186665881019 & 0.0246600836071438 \tabularnewline
0.2 & 6.69813044796423 & 0.0298400068612244 \tabularnewline
0.21 & 6.70546419172264 & 0.0357086430679665 \tabularnewline
0.22 & 6.71398010999321 & 0.0418901994954523 \tabularnewline
0.23 & 6.7237043049471 & 0.0479317221711846 \tabularnewline
0.24 & 6.73456635096505 & 0.0533489414128809 \tabularnewline
0.25 & 6.74640354516919 & 0.0577363693820336 \tabularnewline
0.26 & 6.75897949817738 & 0.0608018427192106 \tabularnewline
0.27 & 6.77201344604541 & 0.0624300912229415 \tabularnewline
0.28 & 6.78521436059153 & 0.0626670063721675 \tabularnewline
0.29 & 6.7983132246899 & 0.0616997657591561 \tabularnewline
0.3 & 6.81108780447184 & 0.0598217083333921 \tabularnewline
0.31 & 6.82337647745395 & 0.0573697569149366 \tabularnewline
0.32 & 6.83508043889549 & 0.0546299700141443 \tabularnewline
0.33 & 6.84615613207107 & 0.0518573629446563 \tabularnewline
0.34 & 6.85660143777792 & 0.0491868901948095 \tabularnewline
0.35 & 6.86643973765055 & 0.0467002428824933 \tabularnewline
0.36 & 6.87570549244593 & 0.0443685329037881 \tabularnewline
0.37 & 6.88443376404467 & 0.0421437882027337 \tabularnewline
0.38 & 6.89265459826428 & 0.0399815757716923 \tabularnewline
0.39 & 6.9003918051794 & 0.0378452389756974 \tabularnewline
0.4 & 6.90766473948254 & 0.0357173919516995 \tabularnewline
0.41 & 6.9144913373101 & 0.0336298457692306 \tabularnewline
0.42 & 6.92089087167962 & 0.0316034612475199 \tabularnewline
0.43 & 6.92688547211912 & 0.0296810547074974 \tabularnewline
0.44 & 6.93250017188286 & 0.0278847536881794 \tabularnewline
0.45 & 6.93776186211281 & 0.0262227308637339 \tabularnewline
0.46 & 6.94269788079802 & 0.0246977771669530 \tabularnewline
0.47 & 6.94733498585326 & 0.0232897421065288 \tabularnewline
0.48 & 6.95169920373332 & 0.0219862824873383 \tabularnewline
0.49 & 6.95581663311337 & 0.0207839220896025 \tabularnewline
0.5 & 6.95971487245414 & 0.0197037163879959 \tabularnewline
0.51 & 6.96342446537653 & 0.0187604147224780 \tabularnewline
0.52 & 6.96697969542851 & 0.0179953879459173 \tabularnewline
0.53 & 6.97041821592087 & 0.0174399924294321 \tabularnewline
0.54 & 6.9737793110414 & 0.0171115277850980 \tabularnewline
0.55 & 6.9771009541789 & 0.0169910447834725 \tabularnewline
0.56 & 6.98041615697051 & 0.0170513807745420 \tabularnewline
0.57 & 6.98374931082876 & 0.0172210245185879 \tabularnewline
0.58 & 6.98711327387093 & 0.0174275291947474 \tabularnewline
0.59 & 6.99050785256572 & 0.0175899020019094 \tabularnewline
0.6 & 6.99392010096814 & 0.0176405280188903 \tabularnewline
0.61 & 6.9973265582874 & 0.017522926364096 \tabularnewline
0.62 & 7.00069721816876 & 0.0172067042761434 \tabularnewline
0.63 & 7.00400071805005 & 0.0166994267673114 \tabularnewline
0.64 & 7.00720999761574 & 0.0160379403751600 \tabularnewline
0.65 & 7.01030754047873 & 0.0152806963666960 \tabularnewline
0.66 & 7.01328931387863 & 0.0145105277448249 \tabularnewline
0.67 & 7.01616667392324 & 0.0138182625655317 \tabularnewline
0.68 & 7.01896580227216 & 0.0132956220407844 \tabularnewline
0.69 & 7.02172464936534 & 0.0130015287932934 \tabularnewline
0.7 & 7.02448781744676 & 0.0129647979055955 \tabularnewline
0.71 & 7.02730024313821 & 0.0131671703809971 \tabularnewline
0.72 & 7.03020084755994 & 0.0135485806519860 \tabularnewline
0.73 & 7.03321743265636 & 0.0140327751557110 \tabularnewline
0.74 & 7.03636395644681 & 0.0145250075293013 \tabularnewline
0.75 & 7.03964089397465 & 0.0149517080945543 \tabularnewline
0.76 & 7.04303871750927 & 0.0152618571901661 \tabularnewline
0.77 & 7.0465437200632 & 0.0154452717214343 \tabularnewline
0.78 & 7.05014465800078 & 0.0155343380808188 \tabularnewline
0.79 & 7.05383825592125 & 0.0155823077871753 \tabularnewline
0.8 & 7.0576317280695 & 0.0156575461159906 \tabularnewline
0.81 & 7.06154120354862 & 0.0158155343359780 \tabularnewline
0.82 & 7.06558612301157 & 0.0160559263656327 \tabularnewline
0.83 & 7.06978088125577 & 0.0163349936090107 \tabularnewline
0.84 & 7.07412573516919 & 0.0165719269187767 \tabularnewline
0.85 & 7.07859903685644 & 0.0166650456527435 \tabularnewline
0.86 & 7.08315244660236 & 0.0165181902555945 \tabularnewline
0.87 & 7.08771061727574 & 0.0160491757210050 \tabularnewline
0.88 & 7.09217746495357 & 0.0152054280357988 \tabularnewline
0.89 & 7.09645206773377 & 0.0139808728614038 \tabularnewline
0.9 & 7.10045642420422 & 0.0124484691138670 \tabularnewline
0.91 & 7.10417188160056 & 0.0108033056339380 \tabularnewline
0.92 & 7.10766985319945 & 0.00937870264527035 \tabularnewline
0.93 & 7.11110980484267 & 0.0085599950880283 \tabularnewline
0.94 & 7.11467567145124 & 0.00849574772294904 \tabularnewline
0.95 & 7.11844750160751 & 0.0087414752923704 \tabularnewline
0.96 & 7.12226405583855 & 0.0084157209458002 \tabularnewline
0.97 & 7.12569390390624 & 0.00681512031458957 \tabularnewline
0.98 & 7.12821944378485 & 0.00408207553842479 \tabularnewline
0.99 & 7.12958057117907 & 0.00138121623404080 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18944&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]6.62012943337526[/C][C]0.000479341290892456[/C][/ROW]
[ROW][C]0.02[/C][C]6.6206749641674[/C][C]0.00191700985701374[/C][/ROW]
[ROW][C]0.03[/C][C]6.62199619108119[/C][C]0.00435538475771757[/C][/ROW]
[ROW][C]0.04[/C][C]6.62435164116837[/C][C]0.00734347170039441[/C][/ROW]
[ROW][C]0.05[/C][C]6.62778285435189[/C][C]0.0102591071146241[/C][/ROW]
[ROW][C]0.06[/C][C]6.6321165666221[/C][C]0.0126079131901516[/C][/ROW]
[ROW][C]0.07[/C][C]6.63705033361277[/C][C]0.0141433978956537[/C][/ROW]
[ROW][C]0.08[/C][C]6.64225585287771[/C][C]0.0148486264344401[/C][/ROW]
[ROW][C]0.09[/C][C]6.6474560690533[/C][C]0.0149052693191615[/C][/ROW]
[ROW][C]0.1[/C][C]6.65246296097278[/C][C]0.0145700609417339[/C][/ROW]
[ROW][C]0.11[/C][C]6.65718189744539[/C][C]0.0140921886242999[/C][/ROW]
[ROW][C]0.12[/C][C]6.66159614024132[/C][C]0.0136644573874663[/C][/ROW]
[ROW][C]0.13[/C][C]6.66574581031543[/C][C]0.0134168942804664[/C][/ROW]
[ROW][C]0.14[/C][C]6.66971168657791[/C][C]0.0134803189248847[/C][/ROW]
[ROW][C]0.15[/C][C]6.67360774208741[/C][C]0.0140128694615764[/C][/ROW]
[ROW][C]0.16[/C][C]6.67758024320923[/C][C]0.0152138342789203[/C][/ROW]
[ROW][C]0.17[/C][C]6.68180779841038[/C][C]0.0173123021261879[/C][/ROW]
[ROW][C]0.18[/C][C]6.6864965192812[/C][C]0.0204504411614385[/C][/ROW]
[ROW][C]0.19[/C][C]6.69186665881019[/C][C]0.0246600836071438[/C][/ROW]
[ROW][C]0.2[/C][C]6.69813044796423[/C][C]0.0298400068612244[/C][/ROW]
[ROW][C]0.21[/C][C]6.70546419172264[/C][C]0.0357086430679665[/C][/ROW]
[ROW][C]0.22[/C][C]6.71398010999321[/C][C]0.0418901994954523[/C][/ROW]
[ROW][C]0.23[/C][C]6.7237043049471[/C][C]0.0479317221711846[/C][/ROW]
[ROW][C]0.24[/C][C]6.73456635096505[/C][C]0.0533489414128809[/C][/ROW]
[ROW][C]0.25[/C][C]6.74640354516919[/C][C]0.0577363693820336[/C][/ROW]
[ROW][C]0.26[/C][C]6.75897949817738[/C][C]0.0608018427192106[/C][/ROW]
[ROW][C]0.27[/C][C]6.77201344604541[/C][C]0.0624300912229415[/C][/ROW]
[ROW][C]0.28[/C][C]6.78521436059153[/C][C]0.0626670063721675[/C][/ROW]
[ROW][C]0.29[/C][C]6.7983132246899[/C][C]0.0616997657591561[/C][/ROW]
[ROW][C]0.3[/C][C]6.81108780447184[/C][C]0.0598217083333921[/C][/ROW]
[ROW][C]0.31[/C][C]6.82337647745395[/C][C]0.0573697569149366[/C][/ROW]
[ROW][C]0.32[/C][C]6.83508043889549[/C][C]0.0546299700141443[/C][/ROW]
[ROW][C]0.33[/C][C]6.84615613207107[/C][C]0.0518573629446563[/C][/ROW]
[ROW][C]0.34[/C][C]6.85660143777792[/C][C]0.0491868901948095[/C][/ROW]
[ROW][C]0.35[/C][C]6.86643973765055[/C][C]0.0467002428824933[/C][/ROW]
[ROW][C]0.36[/C][C]6.87570549244593[/C][C]0.0443685329037881[/C][/ROW]
[ROW][C]0.37[/C][C]6.88443376404467[/C][C]0.0421437882027337[/C][/ROW]
[ROW][C]0.38[/C][C]6.89265459826428[/C][C]0.0399815757716923[/C][/ROW]
[ROW][C]0.39[/C][C]6.9003918051794[/C][C]0.0378452389756974[/C][/ROW]
[ROW][C]0.4[/C][C]6.90766473948254[/C][C]0.0357173919516995[/C][/ROW]
[ROW][C]0.41[/C][C]6.9144913373101[/C][C]0.0336298457692306[/C][/ROW]
[ROW][C]0.42[/C][C]6.92089087167962[/C][C]0.0316034612475199[/C][/ROW]
[ROW][C]0.43[/C][C]6.92688547211912[/C][C]0.0296810547074974[/C][/ROW]
[ROW][C]0.44[/C][C]6.93250017188286[/C][C]0.0278847536881794[/C][/ROW]
[ROW][C]0.45[/C][C]6.93776186211281[/C][C]0.0262227308637339[/C][/ROW]
[ROW][C]0.46[/C][C]6.94269788079802[/C][C]0.0246977771669530[/C][/ROW]
[ROW][C]0.47[/C][C]6.94733498585326[/C][C]0.0232897421065288[/C][/ROW]
[ROW][C]0.48[/C][C]6.95169920373332[/C][C]0.0219862824873383[/C][/ROW]
[ROW][C]0.49[/C][C]6.95581663311337[/C][C]0.0207839220896025[/C][/ROW]
[ROW][C]0.5[/C][C]6.95971487245414[/C][C]0.0197037163879959[/C][/ROW]
[ROW][C]0.51[/C][C]6.96342446537653[/C][C]0.0187604147224780[/C][/ROW]
[ROW][C]0.52[/C][C]6.96697969542851[/C][C]0.0179953879459173[/C][/ROW]
[ROW][C]0.53[/C][C]6.97041821592087[/C][C]0.0174399924294321[/C][/ROW]
[ROW][C]0.54[/C][C]6.9737793110414[/C][C]0.0171115277850980[/C][/ROW]
[ROW][C]0.55[/C][C]6.9771009541789[/C][C]0.0169910447834725[/C][/ROW]
[ROW][C]0.56[/C][C]6.98041615697051[/C][C]0.0170513807745420[/C][/ROW]
[ROW][C]0.57[/C][C]6.98374931082876[/C][C]0.0172210245185879[/C][/ROW]
[ROW][C]0.58[/C][C]6.98711327387093[/C][C]0.0174275291947474[/C][/ROW]
[ROW][C]0.59[/C][C]6.99050785256572[/C][C]0.0175899020019094[/C][/ROW]
[ROW][C]0.6[/C][C]6.99392010096814[/C][C]0.0176405280188903[/C][/ROW]
[ROW][C]0.61[/C][C]6.9973265582874[/C][C]0.017522926364096[/C][/ROW]
[ROW][C]0.62[/C][C]7.00069721816876[/C][C]0.0172067042761434[/C][/ROW]
[ROW][C]0.63[/C][C]7.00400071805005[/C][C]0.0166994267673114[/C][/ROW]
[ROW][C]0.64[/C][C]7.00720999761574[/C][C]0.0160379403751600[/C][/ROW]
[ROW][C]0.65[/C][C]7.01030754047873[/C][C]0.0152806963666960[/C][/ROW]
[ROW][C]0.66[/C][C]7.01328931387863[/C][C]0.0145105277448249[/C][/ROW]
[ROW][C]0.67[/C][C]7.01616667392324[/C][C]0.0138182625655317[/C][/ROW]
[ROW][C]0.68[/C][C]7.01896580227216[/C][C]0.0132956220407844[/C][/ROW]
[ROW][C]0.69[/C][C]7.02172464936534[/C][C]0.0130015287932934[/C][/ROW]
[ROW][C]0.7[/C][C]7.02448781744676[/C][C]0.0129647979055955[/C][/ROW]
[ROW][C]0.71[/C][C]7.02730024313821[/C][C]0.0131671703809971[/C][/ROW]
[ROW][C]0.72[/C][C]7.03020084755994[/C][C]0.0135485806519860[/C][/ROW]
[ROW][C]0.73[/C][C]7.03321743265636[/C][C]0.0140327751557110[/C][/ROW]
[ROW][C]0.74[/C][C]7.03636395644681[/C][C]0.0145250075293013[/C][/ROW]
[ROW][C]0.75[/C][C]7.03964089397465[/C][C]0.0149517080945543[/C][/ROW]
[ROW][C]0.76[/C][C]7.04303871750927[/C][C]0.0152618571901661[/C][/ROW]
[ROW][C]0.77[/C][C]7.0465437200632[/C][C]0.0154452717214343[/C][/ROW]
[ROW][C]0.78[/C][C]7.05014465800078[/C][C]0.0155343380808188[/C][/ROW]
[ROW][C]0.79[/C][C]7.05383825592125[/C][C]0.0155823077871753[/C][/ROW]
[ROW][C]0.8[/C][C]7.0576317280695[/C][C]0.0156575461159906[/C][/ROW]
[ROW][C]0.81[/C][C]7.06154120354862[/C][C]0.0158155343359780[/C][/ROW]
[ROW][C]0.82[/C][C]7.06558612301157[/C][C]0.0160559263656327[/C][/ROW]
[ROW][C]0.83[/C][C]7.06978088125577[/C][C]0.0163349936090107[/C][/ROW]
[ROW][C]0.84[/C][C]7.07412573516919[/C][C]0.0165719269187767[/C][/ROW]
[ROW][C]0.85[/C][C]7.07859903685644[/C][C]0.0166650456527435[/C][/ROW]
[ROW][C]0.86[/C][C]7.08315244660236[/C][C]0.0165181902555945[/C][/ROW]
[ROW][C]0.87[/C][C]7.08771061727574[/C][C]0.0160491757210050[/C][/ROW]
[ROW][C]0.88[/C][C]7.09217746495357[/C][C]0.0152054280357988[/C][/ROW]
[ROW][C]0.89[/C][C]7.09645206773377[/C][C]0.0139808728614038[/C][/ROW]
[ROW][C]0.9[/C][C]7.10045642420422[/C][C]0.0124484691138670[/C][/ROW]
[ROW][C]0.91[/C][C]7.10417188160056[/C][C]0.0108033056339380[/C][/ROW]
[ROW][C]0.92[/C][C]7.10766985319945[/C][C]0.00937870264527035[/C][/ROW]
[ROW][C]0.93[/C][C]7.11110980484267[/C][C]0.0085599950880283[/C][/ROW]
[ROW][C]0.94[/C][C]7.11467567145124[/C][C]0.00849574772294904[/C][/ROW]
[ROW][C]0.95[/C][C]7.11844750160751[/C][C]0.0087414752923704[/C][/ROW]
[ROW][C]0.96[/C][C]7.12226405583855[/C][C]0.0084157209458002[/C][/ROW]
[ROW][C]0.97[/C][C]7.12569390390624[/C][C]0.00681512031458957[/C][/ROW]
[ROW][C]0.98[/C][C]7.12821944378485[/C][C]0.00408207553842479[/C][/ROW]
[ROW][C]0.99[/C][C]7.12958057117907[/C][C]0.00138121623404080[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18944&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18944&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
0.016.620129433375260.000479341290892456
0.026.62067496416740.00191700985701374
0.036.621996191081190.00435538475771757
0.046.624351641168370.00734347170039441
0.056.627782854351890.0102591071146241
0.066.63211656662210.0126079131901516
0.076.637050333612770.0141433978956537
0.086.642255852877710.0148486264344401
0.096.64745606905330.0149052693191615
0.16.652462960972780.0145700609417339
0.116.657181897445390.0140921886242999
0.126.661596140241320.0136644573874663
0.136.665745810315430.0134168942804664
0.146.669711686577910.0134803189248847
0.156.673607742087410.0140128694615764
0.166.677580243209230.0152138342789203
0.176.681807798410380.0173123021261879
0.186.68649651928120.0204504411614385
0.196.691866658810190.0246600836071438
0.26.698130447964230.0298400068612244
0.216.705464191722640.0357086430679665
0.226.713980109993210.0418901994954523
0.236.72370430494710.0479317221711846
0.246.734566350965050.0533489414128809
0.256.746403545169190.0577363693820336
0.266.758979498177380.0608018427192106
0.276.772013446045410.0624300912229415
0.286.785214360591530.0626670063721675
0.296.79831322468990.0616997657591561
0.36.811087804471840.0598217083333921
0.316.823376477453950.0573697569149366
0.326.835080438895490.0546299700141443
0.336.846156132071070.0518573629446563
0.346.856601437777920.0491868901948095
0.356.866439737650550.0467002428824933
0.366.875705492445930.0443685329037881
0.376.884433764044670.0421437882027337
0.386.892654598264280.0399815757716923
0.396.90039180517940.0378452389756974
0.46.907664739482540.0357173919516995
0.416.91449133731010.0336298457692306
0.426.920890871679620.0316034612475199
0.436.926885472119120.0296810547074974
0.446.932500171882860.0278847536881794
0.456.937761862112810.0262227308637339
0.466.942697880798020.0246977771669530
0.476.947334985853260.0232897421065288
0.486.951699203733320.0219862824873383
0.496.955816633113370.0207839220896025
0.56.959714872454140.0197037163879959
0.516.963424465376530.0187604147224780
0.526.966979695428510.0179953879459173
0.536.970418215920870.0174399924294321
0.546.97377931104140.0171115277850980
0.556.97710095417890.0169910447834725
0.566.980416156970510.0170513807745420
0.576.983749310828760.0172210245185879
0.586.987113273870930.0174275291947474
0.596.990507852565720.0175899020019094
0.66.993920100968140.0176405280188903
0.616.99732655828740.017522926364096
0.627.000697218168760.0172067042761434
0.637.004000718050050.0166994267673114
0.647.007209997615740.0160379403751600
0.657.010307540478730.0152806963666960
0.667.013289313878630.0145105277448249
0.677.016166673923240.0138182625655317
0.687.018965802272160.0132956220407844
0.697.021724649365340.0130015287932934
0.77.024487817446760.0129647979055955
0.717.027300243138210.0131671703809971
0.727.030200847559940.0135485806519860
0.737.033217432656360.0140327751557110
0.747.036363956446810.0145250075293013
0.757.039640893974650.0149517080945543
0.767.043038717509270.0152618571901661
0.777.04654372006320.0154452717214343
0.787.050144658000780.0155343380808188
0.797.053838255921250.0155823077871753
0.87.05763172806950.0156575461159906
0.817.061541203548620.0158155343359780
0.827.065586123011570.0160559263656327
0.837.069780881255770.0163349936090107
0.847.074125735169190.0165719269187767
0.857.078599036856440.0166650456527435
0.867.083152446602360.0165181902555945
0.877.087710617275740.0160491757210050
0.887.092177464953570.0152054280357988
0.897.096452067733770.0139808728614038
0.97.100456424204220.0124484691138670
0.917.104171881600560.0108033056339380
0.927.107669853199450.00937870264527035
0.937.111109804842670.0085599950880283
0.947.114675671451240.00849574772294904
0.957.118447501607510.0087414752923704
0.967.122264055838550.0084157209458002
0.977.125693903906240.00681512031458957
0.987.128219443784850.00408207553842479
0.997.129580571179070.00138121623404080


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')