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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 14 Oct 2009 07:36:57 -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/14/t1255527466yi480l5zbv3h0nh.htm/, Retrieved Sun, 05 May 2024 08:14:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46421, Retrieved Sun, 05 May 2024 08:14:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Prijs sigaretten] [2009-10-14 11:44:50] [0b5dbef2a69e66c3cd955099fa0254b9]
- RM D    [Harrell-Davis Quantiles] [Decielen prijs si...] [2009-10-14 13:36:57] [0cda2352ee2e5e35cb801720440e3e1a] [Current]
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Dataseries X:
3,27
3,27
3,27
3,27
3,27
3,28
3,32
3,34
3,34
3,35
3,35
3,35
3,35
3,35
3,4
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,42
3,43
3,47
3,51
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,52
3,58
3,6
3,61
3,61
3,61
3,63
3,68
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,69
3,78
3,79
3,79
3,8
3,8
3,8
3,8
3,81
3,95
3,99
4
4,06
4,16
4,19
4,2
4,2
4,2
4,2
4,2
4,23
4,38
4,43
4,44
4,44
4,44
4,44
4,44
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,45
4,46
4,46
4,46
4,48
4,58
4,67
4,68
4,68
4,69
4,69
4,69
4,69
4,69
4,69
4,69
4,73
4,78
4,79
4,79
4,8
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48




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=46421&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=46421&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46421&T=0

As an alternative you can also use a QR Code:  

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

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







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.270353948587170.00130159688142727
0.023.272864849816590.00739330345482717
0.033.280278834230930.0181766232934659
0.043.293389638084830.0274960730585941
0.053.309718872749550.0301556424393996
0.063.325713850737670.0273015319762273
0.073.339488797175190.0239798012228627
0.083.351360103941850.0238989454521937
0.093.36257041592130.0265314975558270
0.13.373915330905460.0289692674852996
0.113.385253327384370.0289955771234127
0.123.395848580073960.0262407543719158
0.133.405020159879230.0219767256231647
0.143.412613424798660.0182649908850219
0.153.419092985319450.0170927882406930
0.163.425324337427140.0193504247919207
0.173.432228535173080.0243180498427868
0.183.440475534030880.030503325883506
0.193.450311067384190.0363547391780855
0.23.461547107788570.0406443331972081
0.213.473696337167860.0427892258379602
0.223.486190701963260.0430183419681293
0.233.498599538565380.0422515126405724
0.243.510767854214210.041743684498916
0.253.522832475434920.042557380971642
0.263.535126198687080.0450994927707643
0.273.5480223120010.0490236099051239
0.283.561786135712130.0534974242624397
0.293.576485475401850.0575983931074232
0.33.591980754396040.0606017947223457
0.313.607984619549430.0621625945161206
0.323.624161408302960.0623585089527667
0.333.640232027377010.0616427183463153
0.343.656056218780230.0607328469108509
0.353.671676420761280.0604526120102166
0.363.68732074847790.061555070708298
0.373.703373611285270.064607707221463
0.383.720328553237810.0698988662001027
0.393.738737426492750.0775303935440663
0.43.75916351860080.0874400247734032
0.413.782137330917940.0994373515937688
0.423.808107927525910.11311805627377
0.433.837384634739890.127784357137171
0.443.870073466722040.142414168212813
0.453.906024691502310.155790441807911
0.463.944814300796020.166682749320658
0.473.985776712799510.174156384065612
0.484.028089010274880.177773247944685
0.494.070885669374730.177673534550131
0.54.11336797181290.174468336039533
0.514.154872724681860.168934922164175
0.524.194881796847170.161760097806270
0.534.232980008384990.153269445687135
0.544.268791705145260.143411894517290
0.554.301934898781120.131972434023713
0.564.332022298712760.118834207511805
0.574.358716103151080.104246215932594
0.584.381819212048460.0889424932182305
0.594.401370498113930.0740346062292224
0.64.417710991507440.0608858997445273
0.614.431498725557510.0508847964859213
0.624.443665131921480.045292885156756
0.634.455318238611940.0449018727890059
0.644.467605039450120.0495769812603228
0.654.481549772334270.0581614399839919
0.664.497890578155330.0689221515514402
0.674.516945178418060.0798429397702561
0.684.538542384651120.0889202401668835
0.694.562052520035910.0945066027010746
0.74.586530531976020.09569415294728
0.714.610953207712750.0926389350584367
0.724.634498671993170.0865760059465041
0.734.656798820241530.0796283584750082
0.744.678104212075660.0744257790745973
0.754.69933193965550.0736190657069421
0.764.722000246909240.0792963941461213
0.774.748065452536260.0925055709536393
0.784.779659160833830.113042399241381
0.794.818699567547790.139249351800556
0.84.866365780271350.16770074428968
0.814.922511022725880.193145658752773
0.824.985222114235420.209382864960979
0.835.050809767251580.211153377984984
0.845.114425586756640.196257925254578
0.855.171230815590080.166881866773582
0.865.217729711218110.129172163746645
0.875.252749610556910.091151596781331
0.885.277715132246710.0601712656213541
0.895.296196108545130.0415387709704453
0.95.312925591622420.0382047171196134
0.915.332451498943820.0472586266489434
0.925.357538522717650.0602546996800647
0.935.387755519319740.0681104725876141
0.945.41923391225270.0642577974981309
0.955.446434452658470.0486371711960293
0.965.465262692274840.0282558302788739
0.975.47524874074370.0117813343208914
0.985.479024589203220.00310174735143194
0.995.479909535498390.000371097062575673

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.27035394858717 & 0.00130159688142727 \tabularnewline
0.02 & 3.27286484981659 & 0.00739330345482717 \tabularnewline
0.03 & 3.28027883423093 & 0.0181766232934659 \tabularnewline
0.04 & 3.29338963808483 & 0.0274960730585941 \tabularnewline
0.05 & 3.30971887274955 & 0.0301556424393996 \tabularnewline
0.06 & 3.32571385073767 & 0.0273015319762273 \tabularnewline
0.07 & 3.33948879717519 & 0.0239798012228627 \tabularnewline
0.08 & 3.35136010394185 & 0.0238989454521937 \tabularnewline
0.09 & 3.3625704159213 & 0.0265314975558270 \tabularnewline
0.1 & 3.37391533090546 & 0.0289692674852996 \tabularnewline
0.11 & 3.38525332738437 & 0.0289955771234127 \tabularnewline
0.12 & 3.39584858007396 & 0.0262407543719158 \tabularnewline
0.13 & 3.40502015987923 & 0.0219767256231647 \tabularnewline
0.14 & 3.41261342479866 & 0.0182649908850219 \tabularnewline
0.15 & 3.41909298531945 & 0.0170927882406930 \tabularnewline
0.16 & 3.42532433742714 & 0.0193504247919207 \tabularnewline
0.17 & 3.43222853517308 & 0.0243180498427868 \tabularnewline
0.18 & 3.44047553403088 & 0.030503325883506 \tabularnewline
0.19 & 3.45031106738419 & 0.0363547391780855 \tabularnewline
0.2 & 3.46154710778857 & 0.0406443331972081 \tabularnewline
0.21 & 3.47369633716786 & 0.0427892258379602 \tabularnewline
0.22 & 3.48619070196326 & 0.0430183419681293 \tabularnewline
0.23 & 3.49859953856538 & 0.0422515126405724 \tabularnewline
0.24 & 3.51076785421421 & 0.041743684498916 \tabularnewline
0.25 & 3.52283247543492 & 0.042557380971642 \tabularnewline
0.26 & 3.53512619868708 & 0.0450994927707643 \tabularnewline
0.27 & 3.548022312001 & 0.0490236099051239 \tabularnewline
0.28 & 3.56178613571213 & 0.0534974242624397 \tabularnewline
0.29 & 3.57648547540185 & 0.0575983931074232 \tabularnewline
0.3 & 3.59198075439604 & 0.0606017947223457 \tabularnewline
0.31 & 3.60798461954943 & 0.0621625945161206 \tabularnewline
0.32 & 3.62416140830296 & 0.0623585089527667 \tabularnewline
0.33 & 3.64023202737701 & 0.0616427183463153 \tabularnewline
0.34 & 3.65605621878023 & 0.0607328469108509 \tabularnewline
0.35 & 3.67167642076128 & 0.0604526120102166 \tabularnewline
0.36 & 3.6873207484779 & 0.061555070708298 \tabularnewline
0.37 & 3.70337361128527 & 0.064607707221463 \tabularnewline
0.38 & 3.72032855323781 & 0.0698988662001027 \tabularnewline
0.39 & 3.73873742649275 & 0.0775303935440663 \tabularnewline
0.4 & 3.7591635186008 & 0.0874400247734032 \tabularnewline
0.41 & 3.78213733091794 & 0.0994373515937688 \tabularnewline
0.42 & 3.80810792752591 & 0.11311805627377 \tabularnewline
0.43 & 3.83738463473989 & 0.127784357137171 \tabularnewline
0.44 & 3.87007346672204 & 0.142414168212813 \tabularnewline
0.45 & 3.90602469150231 & 0.155790441807911 \tabularnewline
0.46 & 3.94481430079602 & 0.166682749320658 \tabularnewline
0.47 & 3.98577671279951 & 0.174156384065612 \tabularnewline
0.48 & 4.02808901027488 & 0.177773247944685 \tabularnewline
0.49 & 4.07088566937473 & 0.177673534550131 \tabularnewline
0.5 & 4.1133679718129 & 0.174468336039533 \tabularnewline
0.51 & 4.15487272468186 & 0.168934922164175 \tabularnewline
0.52 & 4.19488179684717 & 0.161760097806270 \tabularnewline
0.53 & 4.23298000838499 & 0.153269445687135 \tabularnewline
0.54 & 4.26879170514526 & 0.143411894517290 \tabularnewline
0.55 & 4.30193489878112 & 0.131972434023713 \tabularnewline
0.56 & 4.33202229871276 & 0.118834207511805 \tabularnewline
0.57 & 4.35871610315108 & 0.104246215932594 \tabularnewline
0.58 & 4.38181921204846 & 0.0889424932182305 \tabularnewline
0.59 & 4.40137049811393 & 0.0740346062292224 \tabularnewline
0.6 & 4.41771099150744 & 0.0608858997445273 \tabularnewline
0.61 & 4.43149872555751 & 0.0508847964859213 \tabularnewline
0.62 & 4.44366513192148 & 0.045292885156756 \tabularnewline
0.63 & 4.45531823861194 & 0.0449018727890059 \tabularnewline
0.64 & 4.46760503945012 & 0.0495769812603228 \tabularnewline
0.65 & 4.48154977233427 & 0.0581614399839919 \tabularnewline
0.66 & 4.49789057815533 & 0.0689221515514402 \tabularnewline
0.67 & 4.51694517841806 & 0.0798429397702561 \tabularnewline
0.68 & 4.53854238465112 & 0.0889202401668835 \tabularnewline
0.69 & 4.56205252003591 & 0.0945066027010746 \tabularnewline
0.7 & 4.58653053197602 & 0.09569415294728 \tabularnewline
0.71 & 4.61095320771275 & 0.0926389350584367 \tabularnewline
0.72 & 4.63449867199317 & 0.0865760059465041 \tabularnewline
0.73 & 4.65679882024153 & 0.0796283584750082 \tabularnewline
0.74 & 4.67810421207566 & 0.0744257790745973 \tabularnewline
0.75 & 4.6993319396555 & 0.0736190657069421 \tabularnewline
0.76 & 4.72200024690924 & 0.0792963941461213 \tabularnewline
0.77 & 4.74806545253626 & 0.0925055709536393 \tabularnewline
0.78 & 4.77965916083383 & 0.113042399241381 \tabularnewline
0.79 & 4.81869956754779 & 0.139249351800556 \tabularnewline
0.8 & 4.86636578027135 & 0.16770074428968 \tabularnewline
0.81 & 4.92251102272588 & 0.193145658752773 \tabularnewline
0.82 & 4.98522211423542 & 0.209382864960979 \tabularnewline
0.83 & 5.05080976725158 & 0.211153377984984 \tabularnewline
0.84 & 5.11442558675664 & 0.196257925254578 \tabularnewline
0.85 & 5.17123081559008 & 0.166881866773582 \tabularnewline
0.86 & 5.21772971121811 & 0.129172163746645 \tabularnewline
0.87 & 5.25274961055691 & 0.091151596781331 \tabularnewline
0.88 & 5.27771513224671 & 0.0601712656213541 \tabularnewline
0.89 & 5.29619610854513 & 0.0415387709704453 \tabularnewline
0.9 & 5.31292559162242 & 0.0382047171196134 \tabularnewline
0.91 & 5.33245149894382 & 0.0472586266489434 \tabularnewline
0.92 & 5.35753852271765 & 0.0602546996800647 \tabularnewline
0.93 & 5.38775551931974 & 0.0681104725876141 \tabularnewline
0.94 & 5.4192339122527 & 0.0642577974981309 \tabularnewline
0.95 & 5.44643445265847 & 0.0486371711960293 \tabularnewline
0.96 & 5.46526269227484 & 0.0282558302788739 \tabularnewline
0.97 & 5.4752487407437 & 0.0117813343208914 \tabularnewline
0.98 & 5.47902458920322 & 0.00310174735143194 \tabularnewline
0.99 & 5.47990953549839 & 0.000371097062575673 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46421&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]3.27035394858717[/C][C]0.00130159688142727[/C][/ROW]
[ROW][C]0.02[/C][C]3.27286484981659[/C][C]0.00739330345482717[/C][/ROW]
[ROW][C]0.03[/C][C]3.28027883423093[/C][C]0.0181766232934659[/C][/ROW]
[ROW][C]0.04[/C][C]3.29338963808483[/C][C]0.0274960730585941[/C][/ROW]
[ROW][C]0.05[/C][C]3.30971887274955[/C][C]0.0301556424393996[/C][/ROW]
[ROW][C]0.06[/C][C]3.32571385073767[/C][C]0.0273015319762273[/C][/ROW]
[ROW][C]0.07[/C][C]3.33948879717519[/C][C]0.0239798012228627[/C][/ROW]
[ROW][C]0.08[/C][C]3.35136010394185[/C][C]0.0238989454521937[/C][/ROW]
[ROW][C]0.09[/C][C]3.3625704159213[/C][C]0.0265314975558270[/C][/ROW]
[ROW][C]0.1[/C][C]3.37391533090546[/C][C]0.0289692674852996[/C][/ROW]
[ROW][C]0.11[/C][C]3.38525332738437[/C][C]0.0289955771234127[/C][/ROW]
[ROW][C]0.12[/C][C]3.39584858007396[/C][C]0.0262407543719158[/C][/ROW]
[ROW][C]0.13[/C][C]3.40502015987923[/C][C]0.0219767256231647[/C][/ROW]
[ROW][C]0.14[/C][C]3.41261342479866[/C][C]0.0182649908850219[/C][/ROW]
[ROW][C]0.15[/C][C]3.41909298531945[/C][C]0.0170927882406930[/C][/ROW]
[ROW][C]0.16[/C][C]3.42532433742714[/C][C]0.0193504247919207[/C][/ROW]
[ROW][C]0.17[/C][C]3.43222853517308[/C][C]0.0243180498427868[/C][/ROW]
[ROW][C]0.18[/C][C]3.44047553403088[/C][C]0.030503325883506[/C][/ROW]
[ROW][C]0.19[/C][C]3.45031106738419[/C][C]0.0363547391780855[/C][/ROW]
[ROW][C]0.2[/C][C]3.46154710778857[/C][C]0.0406443331972081[/C][/ROW]
[ROW][C]0.21[/C][C]3.47369633716786[/C][C]0.0427892258379602[/C][/ROW]
[ROW][C]0.22[/C][C]3.48619070196326[/C][C]0.0430183419681293[/C][/ROW]
[ROW][C]0.23[/C][C]3.49859953856538[/C][C]0.0422515126405724[/C][/ROW]
[ROW][C]0.24[/C][C]3.51076785421421[/C][C]0.041743684498916[/C][/ROW]
[ROW][C]0.25[/C][C]3.52283247543492[/C][C]0.042557380971642[/C][/ROW]
[ROW][C]0.26[/C][C]3.53512619868708[/C][C]0.0450994927707643[/C][/ROW]
[ROW][C]0.27[/C][C]3.548022312001[/C][C]0.0490236099051239[/C][/ROW]
[ROW][C]0.28[/C][C]3.56178613571213[/C][C]0.0534974242624397[/C][/ROW]
[ROW][C]0.29[/C][C]3.57648547540185[/C][C]0.0575983931074232[/C][/ROW]
[ROW][C]0.3[/C][C]3.59198075439604[/C][C]0.0606017947223457[/C][/ROW]
[ROW][C]0.31[/C][C]3.60798461954943[/C][C]0.0621625945161206[/C][/ROW]
[ROW][C]0.32[/C][C]3.62416140830296[/C][C]0.0623585089527667[/C][/ROW]
[ROW][C]0.33[/C][C]3.64023202737701[/C][C]0.0616427183463153[/C][/ROW]
[ROW][C]0.34[/C][C]3.65605621878023[/C][C]0.0607328469108509[/C][/ROW]
[ROW][C]0.35[/C][C]3.67167642076128[/C][C]0.0604526120102166[/C][/ROW]
[ROW][C]0.36[/C][C]3.6873207484779[/C][C]0.061555070708298[/C][/ROW]
[ROW][C]0.37[/C][C]3.70337361128527[/C][C]0.064607707221463[/C][/ROW]
[ROW][C]0.38[/C][C]3.72032855323781[/C][C]0.0698988662001027[/C][/ROW]
[ROW][C]0.39[/C][C]3.73873742649275[/C][C]0.0775303935440663[/C][/ROW]
[ROW][C]0.4[/C][C]3.7591635186008[/C][C]0.0874400247734032[/C][/ROW]
[ROW][C]0.41[/C][C]3.78213733091794[/C][C]0.0994373515937688[/C][/ROW]
[ROW][C]0.42[/C][C]3.80810792752591[/C][C]0.11311805627377[/C][/ROW]
[ROW][C]0.43[/C][C]3.83738463473989[/C][C]0.127784357137171[/C][/ROW]
[ROW][C]0.44[/C][C]3.87007346672204[/C][C]0.142414168212813[/C][/ROW]
[ROW][C]0.45[/C][C]3.90602469150231[/C][C]0.155790441807911[/C][/ROW]
[ROW][C]0.46[/C][C]3.94481430079602[/C][C]0.166682749320658[/C][/ROW]
[ROW][C]0.47[/C][C]3.98577671279951[/C][C]0.174156384065612[/C][/ROW]
[ROW][C]0.48[/C][C]4.02808901027488[/C][C]0.177773247944685[/C][/ROW]
[ROW][C]0.49[/C][C]4.07088566937473[/C][C]0.177673534550131[/C][/ROW]
[ROW][C]0.5[/C][C]4.1133679718129[/C][C]0.174468336039533[/C][/ROW]
[ROW][C]0.51[/C][C]4.15487272468186[/C][C]0.168934922164175[/C][/ROW]
[ROW][C]0.52[/C][C]4.19488179684717[/C][C]0.161760097806270[/C][/ROW]
[ROW][C]0.53[/C][C]4.23298000838499[/C][C]0.153269445687135[/C][/ROW]
[ROW][C]0.54[/C][C]4.26879170514526[/C][C]0.143411894517290[/C][/ROW]
[ROW][C]0.55[/C][C]4.30193489878112[/C][C]0.131972434023713[/C][/ROW]
[ROW][C]0.56[/C][C]4.33202229871276[/C][C]0.118834207511805[/C][/ROW]
[ROW][C]0.57[/C][C]4.35871610315108[/C][C]0.104246215932594[/C][/ROW]
[ROW][C]0.58[/C][C]4.38181921204846[/C][C]0.0889424932182305[/C][/ROW]
[ROW][C]0.59[/C][C]4.40137049811393[/C][C]0.0740346062292224[/C][/ROW]
[ROW][C]0.6[/C][C]4.41771099150744[/C][C]0.0608858997445273[/C][/ROW]
[ROW][C]0.61[/C][C]4.43149872555751[/C][C]0.0508847964859213[/C][/ROW]
[ROW][C]0.62[/C][C]4.44366513192148[/C][C]0.045292885156756[/C][/ROW]
[ROW][C]0.63[/C][C]4.45531823861194[/C][C]0.0449018727890059[/C][/ROW]
[ROW][C]0.64[/C][C]4.46760503945012[/C][C]0.0495769812603228[/C][/ROW]
[ROW][C]0.65[/C][C]4.48154977233427[/C][C]0.0581614399839919[/C][/ROW]
[ROW][C]0.66[/C][C]4.49789057815533[/C][C]0.0689221515514402[/C][/ROW]
[ROW][C]0.67[/C][C]4.51694517841806[/C][C]0.0798429397702561[/C][/ROW]
[ROW][C]0.68[/C][C]4.53854238465112[/C][C]0.0889202401668835[/C][/ROW]
[ROW][C]0.69[/C][C]4.56205252003591[/C][C]0.0945066027010746[/C][/ROW]
[ROW][C]0.7[/C][C]4.58653053197602[/C][C]0.09569415294728[/C][/ROW]
[ROW][C]0.71[/C][C]4.61095320771275[/C][C]0.0926389350584367[/C][/ROW]
[ROW][C]0.72[/C][C]4.63449867199317[/C][C]0.0865760059465041[/C][/ROW]
[ROW][C]0.73[/C][C]4.65679882024153[/C][C]0.0796283584750082[/C][/ROW]
[ROW][C]0.74[/C][C]4.67810421207566[/C][C]0.0744257790745973[/C][/ROW]
[ROW][C]0.75[/C][C]4.6993319396555[/C][C]0.0736190657069421[/C][/ROW]
[ROW][C]0.76[/C][C]4.72200024690924[/C][C]0.0792963941461213[/C][/ROW]
[ROW][C]0.77[/C][C]4.74806545253626[/C][C]0.0925055709536393[/C][/ROW]
[ROW][C]0.78[/C][C]4.77965916083383[/C][C]0.113042399241381[/C][/ROW]
[ROW][C]0.79[/C][C]4.81869956754779[/C][C]0.139249351800556[/C][/ROW]
[ROW][C]0.8[/C][C]4.86636578027135[/C][C]0.16770074428968[/C][/ROW]
[ROW][C]0.81[/C][C]4.92251102272588[/C][C]0.193145658752773[/C][/ROW]
[ROW][C]0.82[/C][C]4.98522211423542[/C][C]0.209382864960979[/C][/ROW]
[ROW][C]0.83[/C][C]5.05080976725158[/C][C]0.211153377984984[/C][/ROW]
[ROW][C]0.84[/C][C]5.11442558675664[/C][C]0.196257925254578[/C][/ROW]
[ROW][C]0.85[/C][C]5.17123081559008[/C][C]0.166881866773582[/C][/ROW]
[ROW][C]0.86[/C][C]5.21772971121811[/C][C]0.129172163746645[/C][/ROW]
[ROW][C]0.87[/C][C]5.25274961055691[/C][C]0.091151596781331[/C][/ROW]
[ROW][C]0.88[/C][C]5.27771513224671[/C][C]0.0601712656213541[/C][/ROW]
[ROW][C]0.89[/C][C]5.29619610854513[/C][C]0.0415387709704453[/C][/ROW]
[ROW][C]0.9[/C][C]5.31292559162242[/C][C]0.0382047171196134[/C][/ROW]
[ROW][C]0.91[/C][C]5.33245149894382[/C][C]0.0472586266489434[/C][/ROW]
[ROW][C]0.92[/C][C]5.35753852271765[/C][C]0.0602546996800647[/C][/ROW]
[ROW][C]0.93[/C][C]5.38775551931974[/C][C]0.0681104725876141[/C][/ROW]
[ROW][C]0.94[/C][C]5.4192339122527[/C][C]0.0642577974981309[/C][/ROW]
[ROW][C]0.95[/C][C]5.44643445265847[/C][C]0.0486371711960293[/C][/ROW]
[ROW][C]0.96[/C][C]5.46526269227484[/C][C]0.0282558302788739[/C][/ROW]
[ROW][C]0.97[/C][C]5.4752487407437[/C][C]0.0117813343208914[/C][/ROW]
[ROW][C]0.98[/C][C]5.47902458920322[/C][C]0.00310174735143194[/C][/ROW]
[ROW][C]0.99[/C][C]5.47990953549839[/C][C]0.000371097062575673[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46421&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46421&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.270353948587170.00130159688142727
0.023.272864849816590.00739330345482717
0.033.280278834230930.0181766232934659
0.043.293389638084830.0274960730585941
0.053.309718872749550.0301556424393996
0.063.325713850737670.0273015319762273
0.073.339488797175190.0239798012228627
0.083.351360103941850.0238989454521937
0.093.36257041592130.0265314975558270
0.13.373915330905460.0289692674852996
0.113.385253327384370.0289955771234127
0.123.395848580073960.0262407543719158
0.133.405020159879230.0219767256231647
0.143.412613424798660.0182649908850219
0.153.419092985319450.0170927882406930
0.163.425324337427140.0193504247919207
0.173.432228535173080.0243180498427868
0.183.440475534030880.030503325883506
0.193.450311067384190.0363547391780855
0.23.461547107788570.0406443331972081
0.213.473696337167860.0427892258379602
0.223.486190701963260.0430183419681293
0.233.498599538565380.0422515126405724
0.243.510767854214210.041743684498916
0.253.522832475434920.042557380971642
0.263.535126198687080.0450994927707643
0.273.5480223120010.0490236099051239
0.283.561786135712130.0534974242624397
0.293.576485475401850.0575983931074232
0.33.591980754396040.0606017947223457
0.313.607984619549430.0621625945161206
0.323.624161408302960.0623585089527667
0.333.640232027377010.0616427183463153
0.343.656056218780230.0607328469108509
0.353.671676420761280.0604526120102166
0.363.68732074847790.061555070708298
0.373.703373611285270.064607707221463
0.383.720328553237810.0698988662001027
0.393.738737426492750.0775303935440663
0.43.75916351860080.0874400247734032
0.413.782137330917940.0994373515937688
0.423.808107927525910.11311805627377
0.433.837384634739890.127784357137171
0.443.870073466722040.142414168212813
0.453.906024691502310.155790441807911
0.463.944814300796020.166682749320658
0.473.985776712799510.174156384065612
0.484.028089010274880.177773247944685
0.494.070885669374730.177673534550131
0.54.11336797181290.174468336039533
0.514.154872724681860.168934922164175
0.524.194881796847170.161760097806270
0.534.232980008384990.153269445687135
0.544.268791705145260.143411894517290
0.554.301934898781120.131972434023713
0.564.332022298712760.118834207511805
0.574.358716103151080.104246215932594
0.584.381819212048460.0889424932182305
0.594.401370498113930.0740346062292224
0.64.417710991507440.0608858997445273
0.614.431498725557510.0508847964859213
0.624.443665131921480.045292885156756
0.634.455318238611940.0449018727890059
0.644.467605039450120.0495769812603228
0.654.481549772334270.0581614399839919
0.664.497890578155330.0689221515514402
0.674.516945178418060.0798429397702561
0.684.538542384651120.0889202401668835
0.694.562052520035910.0945066027010746
0.74.586530531976020.09569415294728
0.714.610953207712750.0926389350584367
0.724.634498671993170.0865760059465041
0.734.656798820241530.0796283584750082
0.744.678104212075660.0744257790745973
0.754.69933193965550.0736190657069421
0.764.722000246909240.0792963941461213
0.774.748065452536260.0925055709536393
0.784.779659160833830.113042399241381
0.794.818699567547790.139249351800556
0.84.866365780271350.16770074428968
0.814.922511022725880.193145658752773
0.824.985222114235420.209382864960979
0.835.050809767251580.211153377984984
0.845.114425586756640.196257925254578
0.855.171230815590080.166881866773582
0.865.217729711218110.129172163746645
0.875.252749610556910.091151596781331
0.885.277715132246710.0601712656213541
0.895.296196108545130.0415387709704453
0.95.312925591622420.0382047171196134
0.915.332451498943820.0472586266489434
0.925.357538522717650.0602546996800647
0.935.387755519319740.0681104725876141
0.945.41923391225270.0642577974981309
0.955.446434452658470.0486371711960293
0.965.465262692274840.0282558302788739
0.975.47524874074370.0117813343208914
0.985.479024589203220.00310174735143194
0.995.479909535498390.000371097062575673



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')