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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 09:53:29 -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/t1225036435c2d118swtsspo0j.htm/, Retrieved Sun, 19 May 2024 14:13:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18955, Retrieved Sun, 19 May 2024 14:13:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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] [af90f76a5211a482a7c35f2c76d2fd61]
- 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] [e0f4dc76ea1a8276fe566258b977cec4] [Current]
- 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 
8.7800
8.8300
8.8300
8.8500
8.7400
8.7100
8.6800
8.5900
8.6400
8.6100
8.5900
8.5800
8.5700
8.5600
8.5500
8.5700
8.5300
8.5900
8.5500
8.5400
8.5600
8.5300
8.5500
8.5600
8.4800
8.5000
8.5400
8.4900
8.5100
8.5000
8.5900
8.5600
8.4500
8.4800
8.4800
8.4900
8.5200
8.4900
8.5700
8.5900
8.5700
8.5300
8.5700
8.5300
8.5400
8.4800
8.4800
8.5300
8.5700
8.4900
8.5400
8.5400
8.5600
8.6100
8.6700
8.6900
8.6900
8.7200
8.6600
8.6000
8.1100
8.1400
8.1800
8.1900
8.2200
8.2800
8.2800
8.3400
8.4100
8.3800
8.3800
8.3800
8.3900
8.4200
8.4400
8.4400
8.4400
8.4300
8.4000
8.4200

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18955&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18955&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.123100408845410.0316649415128287
0.028.144301368455050.0359204635207693
0.038.16793563970640.0409806763263063
0.048.191803788287940.0473930585613824
0.058.21582484260610.0544888269231249
0.068.240146839426470.0602135615072905
0.078.264435523377310.0630647109095302
0.088.28795578588610.062634262341904
0.098.309888538562480.0592857040019283
0.18.32959151820590.0538243489916389
0.118.346727031667270.0472893985628679
0.128.36127535156520.0407053057382432
0.138.373473044034030.0349448721648696
0.148.38371343145930.0304709217188656
0.158.392442617316650.0273819513284412
0.168.400077374597850.0254387921149632
0.178.406958228215670.0243180764419279
0.188.413336473789330.0237097751943977
0.198.419383934619210.0234288821973217
0.28.425211770831640.0233531913283349
0.218.430888056083270.0234120093941697
0.228.436449528240230.0235019275775185
0.238.441907789219670.0235564985539506
0.248.447252791468170.0234478998826333
0.258.452456707110920.0231034015587224
0.268.457480044072990.0224713055348741
0.278.4622801431960.0215547139510127
0.288.46682075161060.0204223737228075
0.298.471080657463780.0191792432409891
0.38.475059469889950.0179630238076399
0.318.478779342969670.0169008678835803
0.328.482282437870670.0161016295704512
0.338.485624853719650.0156337668598148
0.348.4888683963630.0155243709838902
0.358.492071802029590.0157032556352577
0.368.495282925497880.0160907728403489
0.378.498533048728440.0165737072641593
0.388.501833989567550.0170242372246966
0.398.505178191268670.0173536722630348
0.48.508541519574780.0174793580481609
0.418.511888128734160.0173518391544826
0.428.515176513499320.0169703207450275
0.438.518365765639270.0163563153641563
0.448.5214211114050.0155598671058742
0.458.524318007251470.0146496446409823
0.468.52704437304310.0137081206712355
0.478.529600881371940.0128001802658272
0.488.531999529701550.0119875058188877
0.498.53426094413890.0113214610301996
0.58.536410973012550.0108144600064931
0.518.538477129257850.0104566101520627
0.528.540485359917360.0102499529063630
0.538.542457494750890.0101370531047941
0.548.544409585608460.010092805695917
0.558.54635121419720.0100768637518259
0.568.548285727864510.0100475943281457
0.578.550211265494980.00998471881464655
0.588.552122363228910.00986803857287908
0.598.55401188872820.00969554925353007
0.68.555873047674170.00948001781882533
0.618.557701234493130.00924584143086006
0.628.559495548536540.00900659385470056
0.638.561259848410950.00878344066706668
0.648.56300325575360.00861502718851791
0.658.564740045337080.00852936885291158
0.668.5664888911850.00855109762446492
0.678.568271512077080.0086783519817086
0.688.570110901573810.00893645049116725
0.698.572029532296470.00929532990480494
0.78.574048136018480.0097358554123085
0.718.576185777730060.0102372474358857
0.728.578461845763440.0107738785767137
0.738.580900191493910.0113654526027109
0.748.583534982239970.0120666936820255
0.758.586417010562320.0129555307638630
0.768.589618468601580.0141511619747278
0.778.593233832412620.0157828339525838
0.788.597374759785420.0178979060376951
0.798.602157921162110.0204779949014277
0.88.60768641272240.0234244348713871
0.818.614027580800570.0264972382894523
0.828.621192226398270.0294105849592008
0.838.62912157870650.0318315629543047
0.848.6376883961590.0334716592483598
0.858.64671655674060.0341381302944595
0.868.656019593735850.0338446804673864
0.878.665453712529460.0328025394311162
0.888.674976453625950.0314449341176148
0.898.684699673471880.0303532119476213
0.98.694924412852750.0301775905764507
0.918.70614207224260.0314624466011129
0.928.718976643369750.0344488791882983
0.938.734029538512920.0388323677012798
0.948.751596912366610.0434647807477523
0.958.771310679268390.0461788704227056
0.968.791932963321010.0443111725053554
0.978.811651356053490.0365165930558311
0.988.82883922773620.0254905803674788
0.998.842259389311090.0189389914085275

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.12310040884541 & 0.0316649415128287 \tabularnewline
0.02 & 8.14430136845505 & 0.0359204635207693 \tabularnewline
0.03 & 8.1679356397064 & 0.0409806763263063 \tabularnewline
0.04 & 8.19180378828794 & 0.0473930585613824 \tabularnewline
0.05 & 8.2158248426061 & 0.0544888269231249 \tabularnewline
0.06 & 8.24014683942647 & 0.0602135615072905 \tabularnewline
0.07 & 8.26443552337731 & 0.0630647109095302 \tabularnewline
0.08 & 8.2879557858861 & 0.062634262341904 \tabularnewline
0.09 & 8.30988853856248 & 0.0592857040019283 \tabularnewline
0.1 & 8.3295915182059 & 0.0538243489916389 \tabularnewline
0.11 & 8.34672703166727 & 0.0472893985628679 \tabularnewline
0.12 & 8.3612753515652 & 0.0407053057382432 \tabularnewline
0.13 & 8.37347304403403 & 0.0349448721648696 \tabularnewline
0.14 & 8.3837134314593 & 0.0304709217188656 \tabularnewline
0.15 & 8.39244261731665 & 0.0273819513284412 \tabularnewline
0.16 & 8.40007737459785 & 0.0254387921149632 \tabularnewline
0.17 & 8.40695822821567 & 0.0243180764419279 \tabularnewline
0.18 & 8.41333647378933 & 0.0237097751943977 \tabularnewline
0.19 & 8.41938393461921 & 0.0234288821973217 \tabularnewline
0.2 & 8.42521177083164 & 0.0233531913283349 \tabularnewline
0.21 & 8.43088805608327 & 0.0234120093941697 \tabularnewline
0.22 & 8.43644952824023 & 0.0235019275775185 \tabularnewline
0.23 & 8.44190778921967 & 0.0235564985539506 \tabularnewline
0.24 & 8.44725279146817 & 0.0234478998826333 \tabularnewline
0.25 & 8.45245670711092 & 0.0231034015587224 \tabularnewline
0.26 & 8.45748004407299 & 0.0224713055348741 \tabularnewline
0.27 & 8.462280143196 & 0.0215547139510127 \tabularnewline
0.28 & 8.4668207516106 & 0.0204223737228075 \tabularnewline
0.29 & 8.47108065746378 & 0.0191792432409891 \tabularnewline
0.3 & 8.47505946988995 & 0.0179630238076399 \tabularnewline
0.31 & 8.47877934296967 & 0.0169008678835803 \tabularnewline
0.32 & 8.48228243787067 & 0.0161016295704512 \tabularnewline
0.33 & 8.48562485371965 & 0.0156337668598148 \tabularnewline
0.34 & 8.488868396363 & 0.0155243709838902 \tabularnewline
0.35 & 8.49207180202959 & 0.0157032556352577 \tabularnewline
0.36 & 8.49528292549788 & 0.0160907728403489 \tabularnewline
0.37 & 8.49853304872844 & 0.0165737072641593 \tabularnewline
0.38 & 8.50183398956755 & 0.0170242372246966 \tabularnewline
0.39 & 8.50517819126867 & 0.0173536722630348 \tabularnewline
0.4 & 8.50854151957478 & 0.0174793580481609 \tabularnewline
0.41 & 8.51188812873416 & 0.0173518391544826 \tabularnewline
0.42 & 8.51517651349932 & 0.0169703207450275 \tabularnewline
0.43 & 8.51836576563927 & 0.0163563153641563 \tabularnewline
0.44 & 8.521421111405 & 0.0155598671058742 \tabularnewline
0.45 & 8.52431800725147 & 0.0146496446409823 \tabularnewline
0.46 & 8.5270443730431 & 0.0137081206712355 \tabularnewline
0.47 & 8.52960088137194 & 0.0128001802658272 \tabularnewline
0.48 & 8.53199952970155 & 0.0119875058188877 \tabularnewline
0.49 & 8.5342609441389 & 0.0113214610301996 \tabularnewline
0.5 & 8.53641097301255 & 0.0108144600064931 \tabularnewline
0.51 & 8.53847712925785 & 0.0104566101520627 \tabularnewline
0.52 & 8.54048535991736 & 0.0102499529063630 \tabularnewline
0.53 & 8.54245749475089 & 0.0101370531047941 \tabularnewline
0.54 & 8.54440958560846 & 0.010092805695917 \tabularnewline
0.55 & 8.5463512141972 & 0.0100768637518259 \tabularnewline
0.56 & 8.54828572786451 & 0.0100475943281457 \tabularnewline
0.57 & 8.55021126549498 & 0.00998471881464655 \tabularnewline
0.58 & 8.55212236322891 & 0.00986803857287908 \tabularnewline
0.59 & 8.5540118887282 & 0.00969554925353007 \tabularnewline
0.6 & 8.55587304767417 & 0.00948001781882533 \tabularnewline
0.61 & 8.55770123449313 & 0.00924584143086006 \tabularnewline
0.62 & 8.55949554853654 & 0.00900659385470056 \tabularnewline
0.63 & 8.56125984841095 & 0.00878344066706668 \tabularnewline
0.64 & 8.5630032557536 & 0.00861502718851791 \tabularnewline
0.65 & 8.56474004533708 & 0.00852936885291158 \tabularnewline
0.66 & 8.566488891185 & 0.00855109762446492 \tabularnewline
0.67 & 8.56827151207708 & 0.0086783519817086 \tabularnewline
0.68 & 8.57011090157381 & 0.00893645049116725 \tabularnewline
0.69 & 8.57202953229647 & 0.00929532990480494 \tabularnewline
0.7 & 8.57404813601848 & 0.0097358554123085 \tabularnewline
0.71 & 8.57618577773006 & 0.0102372474358857 \tabularnewline
0.72 & 8.57846184576344 & 0.0107738785767137 \tabularnewline
0.73 & 8.58090019149391 & 0.0113654526027109 \tabularnewline
0.74 & 8.58353498223997 & 0.0120666936820255 \tabularnewline
0.75 & 8.58641701056232 & 0.0129555307638630 \tabularnewline
0.76 & 8.58961846860158 & 0.0141511619747278 \tabularnewline
0.77 & 8.59323383241262 & 0.0157828339525838 \tabularnewline
0.78 & 8.59737475978542 & 0.0178979060376951 \tabularnewline
0.79 & 8.60215792116211 & 0.0204779949014277 \tabularnewline
0.8 & 8.6076864127224 & 0.0234244348713871 \tabularnewline
0.81 & 8.61402758080057 & 0.0264972382894523 \tabularnewline
0.82 & 8.62119222639827 & 0.0294105849592008 \tabularnewline
0.83 & 8.6291215787065 & 0.0318315629543047 \tabularnewline
0.84 & 8.637688396159 & 0.0334716592483598 \tabularnewline
0.85 & 8.6467165567406 & 0.0341381302944595 \tabularnewline
0.86 & 8.65601959373585 & 0.0338446804673864 \tabularnewline
0.87 & 8.66545371252946 & 0.0328025394311162 \tabularnewline
0.88 & 8.67497645362595 & 0.0314449341176148 \tabularnewline
0.89 & 8.68469967347188 & 0.0303532119476213 \tabularnewline
0.9 & 8.69492441285275 & 0.0301775905764507 \tabularnewline
0.91 & 8.7061420722426 & 0.0314624466011129 \tabularnewline
0.92 & 8.71897664336975 & 0.0344488791882983 \tabularnewline
0.93 & 8.73402953851292 & 0.0388323677012798 \tabularnewline
0.94 & 8.75159691236661 & 0.0434647807477523 \tabularnewline
0.95 & 8.77131067926839 & 0.0461788704227056 \tabularnewline
0.96 & 8.79193296332101 & 0.0443111725053554 \tabularnewline
0.97 & 8.81165135605349 & 0.0365165930558311 \tabularnewline
0.98 & 8.8288392277362 & 0.0254905803674788 \tabularnewline
0.99 & 8.84225938931109 & 0.0189389914085275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18955&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]8.12310040884541[/C][C]0.0316649415128287[/C][/ROW]
[ROW][C]0.02[/C][C]8.14430136845505[/C][C]0.0359204635207693[/C][/ROW]
[ROW][C]0.03[/C][C]8.1679356397064[/C][C]0.0409806763263063[/C][/ROW]
[ROW][C]0.04[/C][C]8.19180378828794[/C][C]0.0473930585613824[/C][/ROW]
[ROW][C]0.05[/C][C]8.2158248426061[/C][C]0.0544888269231249[/C][/ROW]
[ROW][C]0.06[/C][C]8.24014683942647[/C][C]0.0602135615072905[/C][/ROW]
[ROW][C]0.07[/C][C]8.26443552337731[/C][C]0.0630647109095302[/C][/ROW]
[ROW][C]0.08[/C][C]8.2879557858861[/C][C]0.062634262341904[/C][/ROW]
[ROW][C]0.09[/C][C]8.30988853856248[/C][C]0.0592857040019283[/C][/ROW]
[ROW][C]0.1[/C][C]8.3295915182059[/C][C]0.0538243489916389[/C][/ROW]
[ROW][C]0.11[/C][C]8.34672703166727[/C][C]0.0472893985628679[/C][/ROW]
[ROW][C]0.12[/C][C]8.3612753515652[/C][C]0.0407053057382432[/C][/ROW]
[ROW][C]0.13[/C][C]8.37347304403403[/C][C]0.0349448721648696[/C][/ROW]
[ROW][C]0.14[/C][C]8.3837134314593[/C][C]0.0304709217188656[/C][/ROW]
[ROW][C]0.15[/C][C]8.39244261731665[/C][C]0.0273819513284412[/C][/ROW]
[ROW][C]0.16[/C][C]8.40007737459785[/C][C]0.0254387921149632[/C][/ROW]
[ROW][C]0.17[/C][C]8.40695822821567[/C][C]0.0243180764419279[/C][/ROW]
[ROW][C]0.18[/C][C]8.41333647378933[/C][C]0.0237097751943977[/C][/ROW]
[ROW][C]0.19[/C][C]8.41938393461921[/C][C]0.0234288821973217[/C][/ROW]
[ROW][C]0.2[/C][C]8.42521177083164[/C][C]0.0233531913283349[/C][/ROW]
[ROW][C]0.21[/C][C]8.43088805608327[/C][C]0.0234120093941697[/C][/ROW]
[ROW][C]0.22[/C][C]8.43644952824023[/C][C]0.0235019275775185[/C][/ROW]
[ROW][C]0.23[/C][C]8.44190778921967[/C][C]0.0235564985539506[/C][/ROW]
[ROW][C]0.24[/C][C]8.44725279146817[/C][C]0.0234478998826333[/C][/ROW]
[ROW][C]0.25[/C][C]8.45245670711092[/C][C]0.0231034015587224[/C][/ROW]
[ROW][C]0.26[/C][C]8.45748004407299[/C][C]0.0224713055348741[/C][/ROW]
[ROW][C]0.27[/C][C]8.462280143196[/C][C]0.0215547139510127[/C][/ROW]
[ROW][C]0.28[/C][C]8.4668207516106[/C][C]0.0204223737228075[/C][/ROW]
[ROW][C]0.29[/C][C]8.47108065746378[/C][C]0.0191792432409891[/C][/ROW]
[ROW][C]0.3[/C][C]8.47505946988995[/C][C]0.0179630238076399[/C][/ROW]
[ROW][C]0.31[/C][C]8.47877934296967[/C][C]0.0169008678835803[/C][/ROW]
[ROW][C]0.32[/C][C]8.48228243787067[/C][C]0.0161016295704512[/C][/ROW]
[ROW][C]0.33[/C][C]8.48562485371965[/C][C]0.0156337668598148[/C][/ROW]
[ROW][C]0.34[/C][C]8.488868396363[/C][C]0.0155243709838902[/C][/ROW]
[ROW][C]0.35[/C][C]8.49207180202959[/C][C]0.0157032556352577[/C][/ROW]
[ROW][C]0.36[/C][C]8.49528292549788[/C][C]0.0160907728403489[/C][/ROW]
[ROW][C]0.37[/C][C]8.49853304872844[/C][C]0.0165737072641593[/C][/ROW]
[ROW][C]0.38[/C][C]8.50183398956755[/C][C]0.0170242372246966[/C][/ROW]
[ROW][C]0.39[/C][C]8.50517819126867[/C][C]0.0173536722630348[/C][/ROW]
[ROW][C]0.4[/C][C]8.50854151957478[/C][C]0.0174793580481609[/C][/ROW]
[ROW][C]0.41[/C][C]8.51188812873416[/C][C]0.0173518391544826[/C][/ROW]
[ROW][C]0.42[/C][C]8.51517651349932[/C][C]0.0169703207450275[/C][/ROW]
[ROW][C]0.43[/C][C]8.51836576563927[/C][C]0.0163563153641563[/C][/ROW]
[ROW][C]0.44[/C][C]8.521421111405[/C][C]0.0155598671058742[/C][/ROW]
[ROW][C]0.45[/C][C]8.52431800725147[/C][C]0.0146496446409823[/C][/ROW]
[ROW][C]0.46[/C][C]8.5270443730431[/C][C]0.0137081206712355[/C][/ROW]
[ROW][C]0.47[/C][C]8.52960088137194[/C][C]0.0128001802658272[/C][/ROW]
[ROW][C]0.48[/C][C]8.53199952970155[/C][C]0.0119875058188877[/C][/ROW]
[ROW][C]0.49[/C][C]8.5342609441389[/C][C]0.0113214610301996[/C][/ROW]
[ROW][C]0.5[/C][C]8.53641097301255[/C][C]0.0108144600064931[/C][/ROW]
[ROW][C]0.51[/C][C]8.53847712925785[/C][C]0.0104566101520627[/C][/ROW]
[ROW][C]0.52[/C][C]8.54048535991736[/C][C]0.0102499529063630[/C][/ROW]
[ROW][C]0.53[/C][C]8.54245749475089[/C][C]0.0101370531047941[/C][/ROW]
[ROW][C]0.54[/C][C]8.54440958560846[/C][C]0.010092805695917[/C][/ROW]
[ROW][C]0.55[/C][C]8.5463512141972[/C][C]0.0100768637518259[/C][/ROW]
[ROW][C]0.56[/C][C]8.54828572786451[/C][C]0.0100475943281457[/C][/ROW]
[ROW][C]0.57[/C][C]8.55021126549498[/C][C]0.00998471881464655[/C][/ROW]
[ROW][C]0.58[/C][C]8.55212236322891[/C][C]0.00986803857287908[/C][/ROW]
[ROW][C]0.59[/C][C]8.5540118887282[/C][C]0.00969554925353007[/C][/ROW]
[ROW][C]0.6[/C][C]8.55587304767417[/C][C]0.00948001781882533[/C][/ROW]
[ROW][C]0.61[/C][C]8.55770123449313[/C][C]0.00924584143086006[/C][/ROW]
[ROW][C]0.62[/C][C]8.55949554853654[/C][C]0.00900659385470056[/C][/ROW]
[ROW][C]0.63[/C][C]8.56125984841095[/C][C]0.00878344066706668[/C][/ROW]
[ROW][C]0.64[/C][C]8.5630032557536[/C][C]0.00861502718851791[/C][/ROW]
[ROW][C]0.65[/C][C]8.56474004533708[/C][C]0.00852936885291158[/C][/ROW]
[ROW][C]0.66[/C][C]8.566488891185[/C][C]0.00855109762446492[/C][/ROW]
[ROW][C]0.67[/C][C]8.56827151207708[/C][C]0.0086783519817086[/C][/ROW]
[ROW][C]0.68[/C][C]8.57011090157381[/C][C]0.00893645049116725[/C][/ROW]
[ROW][C]0.69[/C][C]8.57202953229647[/C][C]0.00929532990480494[/C][/ROW]
[ROW][C]0.7[/C][C]8.57404813601848[/C][C]0.0097358554123085[/C][/ROW]
[ROW][C]0.71[/C][C]8.57618577773006[/C][C]0.0102372474358857[/C][/ROW]
[ROW][C]0.72[/C][C]8.57846184576344[/C][C]0.0107738785767137[/C][/ROW]
[ROW][C]0.73[/C][C]8.58090019149391[/C][C]0.0113654526027109[/C][/ROW]
[ROW][C]0.74[/C][C]8.58353498223997[/C][C]0.0120666936820255[/C][/ROW]
[ROW][C]0.75[/C][C]8.58641701056232[/C][C]0.0129555307638630[/C][/ROW]
[ROW][C]0.76[/C][C]8.58961846860158[/C][C]0.0141511619747278[/C][/ROW]
[ROW][C]0.77[/C][C]8.59323383241262[/C][C]0.0157828339525838[/C][/ROW]
[ROW][C]0.78[/C][C]8.59737475978542[/C][C]0.0178979060376951[/C][/ROW]
[ROW][C]0.79[/C][C]8.60215792116211[/C][C]0.0204779949014277[/C][/ROW]
[ROW][C]0.8[/C][C]8.6076864127224[/C][C]0.0234244348713871[/C][/ROW]
[ROW][C]0.81[/C][C]8.61402758080057[/C][C]0.0264972382894523[/C][/ROW]
[ROW][C]0.82[/C][C]8.62119222639827[/C][C]0.0294105849592008[/C][/ROW]
[ROW][C]0.83[/C][C]8.6291215787065[/C][C]0.0318315629543047[/C][/ROW]
[ROW][C]0.84[/C][C]8.637688396159[/C][C]0.0334716592483598[/C][/ROW]
[ROW][C]0.85[/C][C]8.6467165567406[/C][C]0.0341381302944595[/C][/ROW]
[ROW][C]0.86[/C][C]8.65601959373585[/C][C]0.0338446804673864[/C][/ROW]
[ROW][C]0.87[/C][C]8.66545371252946[/C][C]0.0328025394311162[/C][/ROW]
[ROW][C]0.88[/C][C]8.67497645362595[/C][C]0.0314449341176148[/C][/ROW]
[ROW][C]0.89[/C][C]8.68469967347188[/C][C]0.0303532119476213[/C][/ROW]
[ROW][C]0.9[/C][C]8.69492441285275[/C][C]0.0301775905764507[/C][/ROW]
[ROW][C]0.91[/C][C]8.7061420722426[/C][C]0.0314624466011129[/C][/ROW]
[ROW][C]0.92[/C][C]8.71897664336975[/C][C]0.0344488791882983[/C][/ROW]
[ROW][C]0.93[/C][C]8.73402953851292[/C][C]0.0388323677012798[/C][/ROW]
[ROW][C]0.94[/C][C]8.75159691236661[/C][C]0.0434647807477523[/C][/ROW]
[ROW][C]0.95[/C][C]8.77131067926839[/C][C]0.0461788704227056[/C][/ROW]
[ROW][C]0.96[/C][C]8.79193296332101[/C][C]0.0443111725053554[/C][/ROW]
[ROW][C]0.97[/C][C]8.81165135605349[/C][C]0.0365165930558311[/C][/ROW]
[ROW][C]0.98[/C][C]8.8288392277362[/C][C]0.0254905803674788[/C][/ROW]
[ROW][C]0.99[/C][C]8.84225938931109[/C][C]0.0189389914085275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18955&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
0.018.123100408845410.0316649415128287
0.028.144301368455050.0359204635207693
0.038.16793563970640.0409806763263063
0.048.191803788287940.0473930585613824
0.058.21582484260610.0544888269231249
0.068.240146839426470.0602135615072905
0.078.264435523377310.0630647109095302
0.088.28795578588610.062634262341904
0.098.309888538562480.0592857040019283
0.18.32959151820590.0538243489916389
0.118.346727031667270.0472893985628679
0.128.36127535156520.0407053057382432
0.138.373473044034030.0349448721648696
0.148.38371343145930.0304709217188656
0.158.392442617316650.0273819513284412
0.168.400077374597850.0254387921149632
0.178.406958228215670.0243180764419279
0.188.413336473789330.0237097751943977
0.198.419383934619210.0234288821973217
0.28.425211770831640.0233531913283349
0.218.430888056083270.0234120093941697
0.228.436449528240230.0235019275775185
0.238.441907789219670.0235564985539506
0.248.447252791468170.0234478998826333
0.258.452456707110920.0231034015587224
0.268.457480044072990.0224713055348741
0.278.4622801431960.0215547139510127
0.288.46682075161060.0204223737228075
0.298.471080657463780.0191792432409891
0.38.475059469889950.0179630238076399
0.318.478779342969670.0169008678835803
0.328.482282437870670.0161016295704512
0.338.485624853719650.0156337668598148
0.348.4888683963630.0155243709838902
0.358.492071802029590.0157032556352577
0.368.495282925497880.0160907728403489
0.378.498533048728440.0165737072641593
0.388.501833989567550.0170242372246966
0.398.505178191268670.0173536722630348
0.48.508541519574780.0174793580481609
0.418.511888128734160.0173518391544826
0.428.515176513499320.0169703207450275
0.438.518365765639270.0163563153641563
0.448.5214211114050.0155598671058742
0.458.524318007251470.0146496446409823
0.468.52704437304310.0137081206712355
0.478.529600881371940.0128001802658272
0.488.531999529701550.0119875058188877
0.498.53426094413890.0113214610301996
0.58.536410973012550.0108144600064931
0.518.538477129257850.0104566101520627
0.528.540485359917360.0102499529063630
0.538.542457494750890.0101370531047941
0.548.544409585608460.010092805695917
0.558.54635121419720.0100768637518259
0.568.548285727864510.0100475943281457
0.578.550211265494980.00998471881464655
0.588.552122363228910.00986803857287908
0.598.55401188872820.00969554925353007
0.68.555873047674170.00948001781882533
0.618.557701234493130.00924584143086006
0.628.559495548536540.00900659385470056
0.638.561259848410950.00878344066706668
0.648.56300325575360.00861502718851791
0.658.564740045337080.00852936885291158
0.668.5664888911850.00855109762446492
0.678.568271512077080.0086783519817086
0.688.570110901573810.00893645049116725
0.698.572029532296470.00929532990480494
0.78.574048136018480.0097358554123085
0.718.576185777730060.0102372474358857
0.728.578461845763440.0107738785767137
0.738.580900191493910.0113654526027109
0.748.583534982239970.0120666936820255
0.758.586417010562320.0129555307638630
0.768.589618468601580.0141511619747278
0.778.593233832412620.0157828339525838
0.788.597374759785420.0178979060376951
0.798.602157921162110.0204779949014277
0.88.60768641272240.0234244348713871
0.818.614027580800570.0264972382894523
0.828.621192226398270.0294105849592008
0.838.62912157870650.0318315629543047
0.848.6376883961590.0334716592483598
0.858.64671655674060.0341381302944595
0.868.656019593735850.0338446804673864
0.878.665453712529460.0328025394311162
0.888.674976453625950.0314449341176148
0.898.684699673471880.0303532119476213
0.98.694924412852750.0301775905764507
0.918.70614207224260.0314624466011129
0.928.718976643369750.0344488791882983
0.938.734029538512920.0388323677012798
0.948.751596912366610.0434647807477523
0.958.771310679268390.0461788704227056
0.968.791932963321010.0443111725053554
0.978.811651356053490.0365165930558311
0.988.82883922773620.0254905803674788
0.998.842259389311090.0189389914085275


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')