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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 06 Mar 2009 00:22:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/06/t12363241925pgq06vhy3bg6gh.htm/, Retrieved Thu, 02 May 2024 15:07:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38616, Retrieved Thu, 02 May 2024 15:07:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact264
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel - Davis pe...] [2009-03-06 07:22:19] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4.2
4.19
4.19
4.19
4.19
4.18
4.2
4.19
4.17
4.21
4.22
4.23
4.21
4.23
4.23
4.22
4.25
4.28
4.3
4.32
4.33
4.32
4.34
4.33
4.31
4.31
4.3
4.3
4.29
4.33
4.32
4.32
4.35
4.37
4.39
4.4
4.41
4.44
4.47
4.47
4.47
4.48
4.47
4.48
4.46
4.44
4.43
4.41
4.41
4.38
4.35
4.37
4.4
4.39
4.36
4.34
4.33
4.33
4.34
4.34
4.35
4.37
4.39
4.4
4.38
4.37
4.36
4.33
4.33
4.33
4.32
4.33
4.34




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=38616&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=38616&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38616&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
0.014.173339464878770.0092326099737324
0.024.178171453748080.00805902088812492
0.034.182687233404830.0063727906743162
0.044.186117039230960.00464982371466392
0.054.188538700374710.00362649327077861
0.064.190369193940280.00377408745680947
0.074.19204043339970.00486069962813614
0.084.193865604365350.0063783241486126
0.094.196014996326410.00800460519576874
0.14.198543215621260.00955282245013453
0.114.201433520865000.0109406428402490
0.124.204640403786410.0121948644289225
0.134.208121636293730.0134050446560984
0.144.211857161667860.0146979236436972
0.154.215855494701040.0162019336074041
0.164.22014981799050.0180084140944781
0.174.224786609052990.0201228321522023
0.184.229809986679110.0224782260551468
0.194.235245235299940.0249160024650624
0.24.241085014573510.0272202939349583
0.214.247281295296280.0291564543378343
0.224.25374491318630.0305207085694015
0.234.260352937975660.0311699563937315
0.244.266962249034280.0310369781017136
0.254.273426330957330.0301581789652392
0.264.279611762512720.0286440501337028
0.274.285411281412310.0266650085522125
0.284.290751454865910.0244024186680197
0.294.295594449484620.0220402877990196
0.34.299934717381170.0197260659976575
0.314.303792268469050.0175650313424751
0.324.307204462708690.0156176717552444
0.334.310218012743620.0139070867853476
0.344.312882344051060.0124240847769502
0.354.315244848223830.0111506301154684
0.364.317348061340430.0100523278192240
0.374.319228486057550.00909680696645792
0.384.320916648043660.00826108087815577
0.394.322437976387630.00752371438725478
0.44.323814153415510.00686792769651366
0.414.325064640618560.00628633601412697
0.424.326208134098570.00579043773316814
0.434.327263741356590.00537749128078771
0.444.328251719127540.00506746791712092
0.454.329193682738310.00488879028474238
0.464.330112290468360.00483734923130731
0.474.331030505730110.00492239811729561
0.484.331970620840110.00513374446007349
0.494.332953265274520.00545329120915795
0.54.333996605808540.00585057035346128
0.514.335115878959250.00631693269409882
0.524.336323296286760.00682856251727348
0.534.337628258845640.00737110075370339
0.544.339037738137670.00793762021439867
0.554.340556649401510.00851724103917925
0.564.342188067093650.0091040831804311
0.574.343933203921320.0096948353883142
0.584.345791172044480.010270802357833
0.594.347758638829380.0108214547466690
0.64.349829551136140.0113235142915676
0.614.351995111283090.0117596903856077
0.624.35424413838530.0121184479199254
0.634.356563850938290.0123882580597045
0.644.358940985223550.0125725006822554
0.654.361363053362240.0126785948061226
0.664.363819479141330.0127187890417258
0.674.366302354179330.0127158219792693
0.684.368806638607850.0126914489385109
0.694.371329773732320.0126614810845794
0.74.373870843283150.0126283188552408
0.714.376429568084830.0125957073553844
0.724.379005502730160.0125508237029757
0.734.381597796051940.0124874302669976
0.744.384205779307280.0123989000393683
0.754.386830480117570.0122910587264917
0.764.389476961500740.0121810878659059
0.774.392157185952470.0121010455776181
0.784.394892924330650.0121003305718726
0.794.397718079551840.0122364526109863
0.84.400679694140940.0125668073266932
0.814.403836898542970.0131445630471765
0.824.407257189895190.0139909478885842
0.834.411009743707620.0150941025387259
0.844.415155916187920.0163827426556545
0.854.419737568620150.0177428177223001
0.864.424764206701030.0190207803384944
0.874.430200211348200.0200390253733862
0.884.435953975532880.0206043845386502
0.894.441872049723010.0205325893030634
0.94.447743538275740.0196665066249914
0.914.45332188046290.0179309677243026
0.924.45837001196010.0153952384551659
0.934.462726869652560.0123417936538141
0.944.466375663364150.00927718450918615
0.954.469470869807530.00685633884118015
0.964.472269126924390.00564585936555398
0.974.474944866737340.00533201006932833
0.984.477383917087970.00454965419681733
0.994.479180214450360.0024101472459916

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.17333946487877 & 0.0092326099737324 \tabularnewline
0.02 & 4.17817145374808 & 0.00805902088812492 \tabularnewline
0.03 & 4.18268723340483 & 0.0063727906743162 \tabularnewline
0.04 & 4.18611703923096 & 0.00464982371466392 \tabularnewline
0.05 & 4.18853870037471 & 0.00362649327077861 \tabularnewline
0.06 & 4.19036919394028 & 0.00377408745680947 \tabularnewline
0.07 & 4.1920404333997 & 0.00486069962813614 \tabularnewline
0.08 & 4.19386560436535 & 0.0063783241486126 \tabularnewline
0.09 & 4.19601499632641 & 0.00800460519576874 \tabularnewline
0.1 & 4.19854321562126 & 0.00955282245013453 \tabularnewline
0.11 & 4.20143352086500 & 0.0109406428402490 \tabularnewline
0.12 & 4.20464040378641 & 0.0121948644289225 \tabularnewline
0.13 & 4.20812163629373 & 0.0134050446560984 \tabularnewline
0.14 & 4.21185716166786 & 0.0146979236436972 \tabularnewline
0.15 & 4.21585549470104 & 0.0162019336074041 \tabularnewline
0.16 & 4.2201498179905 & 0.0180084140944781 \tabularnewline
0.17 & 4.22478660905299 & 0.0201228321522023 \tabularnewline
0.18 & 4.22980998667911 & 0.0224782260551468 \tabularnewline
0.19 & 4.23524523529994 & 0.0249160024650624 \tabularnewline
0.2 & 4.24108501457351 & 0.0272202939349583 \tabularnewline
0.21 & 4.24728129529628 & 0.0291564543378343 \tabularnewline
0.22 & 4.2537449131863 & 0.0305207085694015 \tabularnewline
0.23 & 4.26035293797566 & 0.0311699563937315 \tabularnewline
0.24 & 4.26696224903428 & 0.0310369781017136 \tabularnewline
0.25 & 4.27342633095733 & 0.0301581789652392 \tabularnewline
0.26 & 4.27961176251272 & 0.0286440501337028 \tabularnewline
0.27 & 4.28541128141231 & 0.0266650085522125 \tabularnewline
0.28 & 4.29075145486591 & 0.0244024186680197 \tabularnewline
0.29 & 4.29559444948462 & 0.0220402877990196 \tabularnewline
0.3 & 4.29993471738117 & 0.0197260659976575 \tabularnewline
0.31 & 4.30379226846905 & 0.0175650313424751 \tabularnewline
0.32 & 4.30720446270869 & 0.0156176717552444 \tabularnewline
0.33 & 4.31021801274362 & 0.0139070867853476 \tabularnewline
0.34 & 4.31288234405106 & 0.0124240847769502 \tabularnewline
0.35 & 4.31524484822383 & 0.0111506301154684 \tabularnewline
0.36 & 4.31734806134043 & 0.0100523278192240 \tabularnewline
0.37 & 4.31922848605755 & 0.00909680696645792 \tabularnewline
0.38 & 4.32091664804366 & 0.00826108087815577 \tabularnewline
0.39 & 4.32243797638763 & 0.00752371438725478 \tabularnewline
0.4 & 4.32381415341551 & 0.00686792769651366 \tabularnewline
0.41 & 4.32506464061856 & 0.00628633601412697 \tabularnewline
0.42 & 4.32620813409857 & 0.00579043773316814 \tabularnewline
0.43 & 4.32726374135659 & 0.00537749128078771 \tabularnewline
0.44 & 4.32825171912754 & 0.00506746791712092 \tabularnewline
0.45 & 4.32919368273831 & 0.00488879028474238 \tabularnewline
0.46 & 4.33011229046836 & 0.00483734923130731 \tabularnewline
0.47 & 4.33103050573011 & 0.00492239811729561 \tabularnewline
0.48 & 4.33197062084011 & 0.00513374446007349 \tabularnewline
0.49 & 4.33295326527452 & 0.00545329120915795 \tabularnewline
0.5 & 4.33399660580854 & 0.00585057035346128 \tabularnewline
0.51 & 4.33511587895925 & 0.00631693269409882 \tabularnewline
0.52 & 4.33632329628676 & 0.00682856251727348 \tabularnewline
0.53 & 4.33762825884564 & 0.00737110075370339 \tabularnewline
0.54 & 4.33903773813767 & 0.00793762021439867 \tabularnewline
0.55 & 4.34055664940151 & 0.00851724103917925 \tabularnewline
0.56 & 4.34218806709365 & 0.0091040831804311 \tabularnewline
0.57 & 4.34393320392132 & 0.0096948353883142 \tabularnewline
0.58 & 4.34579117204448 & 0.010270802357833 \tabularnewline
0.59 & 4.34775863882938 & 0.0108214547466690 \tabularnewline
0.6 & 4.34982955113614 & 0.0113235142915676 \tabularnewline
0.61 & 4.35199511128309 & 0.0117596903856077 \tabularnewline
0.62 & 4.3542441383853 & 0.0121184479199254 \tabularnewline
0.63 & 4.35656385093829 & 0.0123882580597045 \tabularnewline
0.64 & 4.35894098522355 & 0.0125725006822554 \tabularnewline
0.65 & 4.36136305336224 & 0.0126785948061226 \tabularnewline
0.66 & 4.36381947914133 & 0.0127187890417258 \tabularnewline
0.67 & 4.36630235417933 & 0.0127158219792693 \tabularnewline
0.68 & 4.36880663860785 & 0.0126914489385109 \tabularnewline
0.69 & 4.37132977373232 & 0.0126614810845794 \tabularnewline
0.7 & 4.37387084328315 & 0.0126283188552408 \tabularnewline
0.71 & 4.37642956808483 & 0.0125957073553844 \tabularnewline
0.72 & 4.37900550273016 & 0.0125508237029757 \tabularnewline
0.73 & 4.38159779605194 & 0.0124874302669976 \tabularnewline
0.74 & 4.38420577930728 & 0.0123989000393683 \tabularnewline
0.75 & 4.38683048011757 & 0.0122910587264917 \tabularnewline
0.76 & 4.38947696150074 & 0.0121810878659059 \tabularnewline
0.77 & 4.39215718595247 & 0.0121010455776181 \tabularnewline
0.78 & 4.39489292433065 & 0.0121003305718726 \tabularnewline
0.79 & 4.39771807955184 & 0.0122364526109863 \tabularnewline
0.8 & 4.40067969414094 & 0.0125668073266932 \tabularnewline
0.81 & 4.40383689854297 & 0.0131445630471765 \tabularnewline
0.82 & 4.40725718989519 & 0.0139909478885842 \tabularnewline
0.83 & 4.41100974370762 & 0.0150941025387259 \tabularnewline
0.84 & 4.41515591618792 & 0.0163827426556545 \tabularnewline
0.85 & 4.41973756862015 & 0.0177428177223001 \tabularnewline
0.86 & 4.42476420670103 & 0.0190207803384944 \tabularnewline
0.87 & 4.43020021134820 & 0.0200390253733862 \tabularnewline
0.88 & 4.43595397553288 & 0.0206043845386502 \tabularnewline
0.89 & 4.44187204972301 & 0.0205325893030634 \tabularnewline
0.9 & 4.44774353827574 & 0.0196665066249914 \tabularnewline
0.91 & 4.4533218804629 & 0.0179309677243026 \tabularnewline
0.92 & 4.4583700119601 & 0.0153952384551659 \tabularnewline
0.93 & 4.46272686965256 & 0.0123417936538141 \tabularnewline
0.94 & 4.46637566336415 & 0.00927718450918615 \tabularnewline
0.95 & 4.46947086980753 & 0.00685633884118015 \tabularnewline
0.96 & 4.47226912692439 & 0.00564585936555398 \tabularnewline
0.97 & 4.47494486673734 & 0.00533201006932833 \tabularnewline
0.98 & 4.47738391708797 & 0.00454965419681733 \tabularnewline
0.99 & 4.47918021445036 & 0.0024101472459916 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38616&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]4.17333946487877[/C][C]0.0092326099737324[/C][/ROW]
[ROW][C]0.02[/C][C]4.17817145374808[/C][C]0.00805902088812492[/C][/ROW]
[ROW][C]0.03[/C][C]4.18268723340483[/C][C]0.0063727906743162[/C][/ROW]
[ROW][C]0.04[/C][C]4.18611703923096[/C][C]0.00464982371466392[/C][/ROW]
[ROW][C]0.05[/C][C]4.18853870037471[/C][C]0.00362649327077861[/C][/ROW]
[ROW][C]0.06[/C][C]4.19036919394028[/C][C]0.00377408745680947[/C][/ROW]
[ROW][C]0.07[/C][C]4.1920404333997[/C][C]0.00486069962813614[/C][/ROW]
[ROW][C]0.08[/C][C]4.19386560436535[/C][C]0.0063783241486126[/C][/ROW]
[ROW][C]0.09[/C][C]4.19601499632641[/C][C]0.00800460519576874[/C][/ROW]
[ROW][C]0.1[/C][C]4.19854321562126[/C][C]0.00955282245013453[/C][/ROW]
[ROW][C]0.11[/C][C]4.20143352086500[/C][C]0.0109406428402490[/C][/ROW]
[ROW][C]0.12[/C][C]4.20464040378641[/C][C]0.0121948644289225[/C][/ROW]
[ROW][C]0.13[/C][C]4.20812163629373[/C][C]0.0134050446560984[/C][/ROW]
[ROW][C]0.14[/C][C]4.21185716166786[/C][C]0.0146979236436972[/C][/ROW]
[ROW][C]0.15[/C][C]4.21585549470104[/C][C]0.0162019336074041[/C][/ROW]
[ROW][C]0.16[/C][C]4.2201498179905[/C][C]0.0180084140944781[/C][/ROW]
[ROW][C]0.17[/C][C]4.22478660905299[/C][C]0.0201228321522023[/C][/ROW]
[ROW][C]0.18[/C][C]4.22980998667911[/C][C]0.0224782260551468[/C][/ROW]
[ROW][C]0.19[/C][C]4.23524523529994[/C][C]0.0249160024650624[/C][/ROW]
[ROW][C]0.2[/C][C]4.24108501457351[/C][C]0.0272202939349583[/C][/ROW]
[ROW][C]0.21[/C][C]4.24728129529628[/C][C]0.0291564543378343[/C][/ROW]
[ROW][C]0.22[/C][C]4.2537449131863[/C][C]0.0305207085694015[/C][/ROW]
[ROW][C]0.23[/C][C]4.26035293797566[/C][C]0.0311699563937315[/C][/ROW]
[ROW][C]0.24[/C][C]4.26696224903428[/C][C]0.0310369781017136[/C][/ROW]
[ROW][C]0.25[/C][C]4.27342633095733[/C][C]0.0301581789652392[/C][/ROW]
[ROW][C]0.26[/C][C]4.27961176251272[/C][C]0.0286440501337028[/C][/ROW]
[ROW][C]0.27[/C][C]4.28541128141231[/C][C]0.0266650085522125[/C][/ROW]
[ROW][C]0.28[/C][C]4.29075145486591[/C][C]0.0244024186680197[/C][/ROW]
[ROW][C]0.29[/C][C]4.29559444948462[/C][C]0.0220402877990196[/C][/ROW]
[ROW][C]0.3[/C][C]4.29993471738117[/C][C]0.0197260659976575[/C][/ROW]
[ROW][C]0.31[/C][C]4.30379226846905[/C][C]0.0175650313424751[/C][/ROW]
[ROW][C]0.32[/C][C]4.30720446270869[/C][C]0.0156176717552444[/C][/ROW]
[ROW][C]0.33[/C][C]4.31021801274362[/C][C]0.0139070867853476[/C][/ROW]
[ROW][C]0.34[/C][C]4.31288234405106[/C][C]0.0124240847769502[/C][/ROW]
[ROW][C]0.35[/C][C]4.31524484822383[/C][C]0.0111506301154684[/C][/ROW]
[ROW][C]0.36[/C][C]4.31734806134043[/C][C]0.0100523278192240[/C][/ROW]
[ROW][C]0.37[/C][C]4.31922848605755[/C][C]0.00909680696645792[/C][/ROW]
[ROW][C]0.38[/C][C]4.32091664804366[/C][C]0.00826108087815577[/C][/ROW]
[ROW][C]0.39[/C][C]4.32243797638763[/C][C]0.00752371438725478[/C][/ROW]
[ROW][C]0.4[/C][C]4.32381415341551[/C][C]0.00686792769651366[/C][/ROW]
[ROW][C]0.41[/C][C]4.32506464061856[/C][C]0.00628633601412697[/C][/ROW]
[ROW][C]0.42[/C][C]4.32620813409857[/C][C]0.00579043773316814[/C][/ROW]
[ROW][C]0.43[/C][C]4.32726374135659[/C][C]0.00537749128078771[/C][/ROW]
[ROW][C]0.44[/C][C]4.32825171912754[/C][C]0.00506746791712092[/C][/ROW]
[ROW][C]0.45[/C][C]4.32919368273831[/C][C]0.00488879028474238[/C][/ROW]
[ROW][C]0.46[/C][C]4.33011229046836[/C][C]0.00483734923130731[/C][/ROW]
[ROW][C]0.47[/C][C]4.33103050573011[/C][C]0.00492239811729561[/C][/ROW]
[ROW][C]0.48[/C][C]4.33197062084011[/C][C]0.00513374446007349[/C][/ROW]
[ROW][C]0.49[/C][C]4.33295326527452[/C][C]0.00545329120915795[/C][/ROW]
[ROW][C]0.5[/C][C]4.33399660580854[/C][C]0.00585057035346128[/C][/ROW]
[ROW][C]0.51[/C][C]4.33511587895925[/C][C]0.00631693269409882[/C][/ROW]
[ROW][C]0.52[/C][C]4.33632329628676[/C][C]0.00682856251727348[/C][/ROW]
[ROW][C]0.53[/C][C]4.33762825884564[/C][C]0.00737110075370339[/C][/ROW]
[ROW][C]0.54[/C][C]4.33903773813767[/C][C]0.00793762021439867[/C][/ROW]
[ROW][C]0.55[/C][C]4.34055664940151[/C][C]0.00851724103917925[/C][/ROW]
[ROW][C]0.56[/C][C]4.34218806709365[/C][C]0.0091040831804311[/C][/ROW]
[ROW][C]0.57[/C][C]4.34393320392132[/C][C]0.0096948353883142[/C][/ROW]
[ROW][C]0.58[/C][C]4.34579117204448[/C][C]0.010270802357833[/C][/ROW]
[ROW][C]0.59[/C][C]4.34775863882938[/C][C]0.0108214547466690[/C][/ROW]
[ROW][C]0.6[/C][C]4.34982955113614[/C][C]0.0113235142915676[/C][/ROW]
[ROW][C]0.61[/C][C]4.35199511128309[/C][C]0.0117596903856077[/C][/ROW]
[ROW][C]0.62[/C][C]4.3542441383853[/C][C]0.0121184479199254[/C][/ROW]
[ROW][C]0.63[/C][C]4.35656385093829[/C][C]0.0123882580597045[/C][/ROW]
[ROW][C]0.64[/C][C]4.35894098522355[/C][C]0.0125725006822554[/C][/ROW]
[ROW][C]0.65[/C][C]4.36136305336224[/C][C]0.0126785948061226[/C][/ROW]
[ROW][C]0.66[/C][C]4.36381947914133[/C][C]0.0127187890417258[/C][/ROW]
[ROW][C]0.67[/C][C]4.36630235417933[/C][C]0.0127158219792693[/C][/ROW]
[ROW][C]0.68[/C][C]4.36880663860785[/C][C]0.0126914489385109[/C][/ROW]
[ROW][C]0.69[/C][C]4.37132977373232[/C][C]0.0126614810845794[/C][/ROW]
[ROW][C]0.7[/C][C]4.37387084328315[/C][C]0.0126283188552408[/C][/ROW]
[ROW][C]0.71[/C][C]4.37642956808483[/C][C]0.0125957073553844[/C][/ROW]
[ROW][C]0.72[/C][C]4.37900550273016[/C][C]0.0125508237029757[/C][/ROW]
[ROW][C]0.73[/C][C]4.38159779605194[/C][C]0.0124874302669976[/C][/ROW]
[ROW][C]0.74[/C][C]4.38420577930728[/C][C]0.0123989000393683[/C][/ROW]
[ROW][C]0.75[/C][C]4.38683048011757[/C][C]0.0122910587264917[/C][/ROW]
[ROW][C]0.76[/C][C]4.38947696150074[/C][C]0.0121810878659059[/C][/ROW]
[ROW][C]0.77[/C][C]4.39215718595247[/C][C]0.0121010455776181[/C][/ROW]
[ROW][C]0.78[/C][C]4.39489292433065[/C][C]0.0121003305718726[/C][/ROW]
[ROW][C]0.79[/C][C]4.39771807955184[/C][C]0.0122364526109863[/C][/ROW]
[ROW][C]0.8[/C][C]4.40067969414094[/C][C]0.0125668073266932[/C][/ROW]
[ROW][C]0.81[/C][C]4.40383689854297[/C][C]0.0131445630471765[/C][/ROW]
[ROW][C]0.82[/C][C]4.40725718989519[/C][C]0.0139909478885842[/C][/ROW]
[ROW][C]0.83[/C][C]4.41100974370762[/C][C]0.0150941025387259[/C][/ROW]
[ROW][C]0.84[/C][C]4.41515591618792[/C][C]0.0163827426556545[/C][/ROW]
[ROW][C]0.85[/C][C]4.41973756862015[/C][C]0.0177428177223001[/C][/ROW]
[ROW][C]0.86[/C][C]4.42476420670103[/C][C]0.0190207803384944[/C][/ROW]
[ROW][C]0.87[/C][C]4.43020021134820[/C][C]0.0200390253733862[/C][/ROW]
[ROW][C]0.88[/C][C]4.43595397553288[/C][C]0.0206043845386502[/C][/ROW]
[ROW][C]0.89[/C][C]4.44187204972301[/C][C]0.0205325893030634[/C][/ROW]
[ROW][C]0.9[/C][C]4.44774353827574[/C][C]0.0196665066249914[/C][/ROW]
[ROW][C]0.91[/C][C]4.4533218804629[/C][C]0.0179309677243026[/C][/ROW]
[ROW][C]0.92[/C][C]4.4583700119601[/C][C]0.0153952384551659[/C][/ROW]
[ROW][C]0.93[/C][C]4.46272686965256[/C][C]0.0123417936538141[/C][/ROW]
[ROW][C]0.94[/C][C]4.46637566336415[/C][C]0.00927718450918615[/C][/ROW]
[ROW][C]0.95[/C][C]4.46947086980753[/C][C]0.00685633884118015[/C][/ROW]
[ROW][C]0.96[/C][C]4.47226912692439[/C][C]0.00564585936555398[/C][/ROW]
[ROW][C]0.97[/C][C]4.47494486673734[/C][C]0.00533201006932833[/C][/ROW]
[ROW][C]0.98[/C][C]4.47738391708797[/C][C]0.00454965419681733[/C][/ROW]
[ROW][C]0.99[/C][C]4.47918021445036[/C][C]0.0024101472459916[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38616&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38616&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
0.014.173339464878770.0092326099737324
0.024.178171453748080.00805902088812492
0.034.182687233404830.0063727906743162
0.044.186117039230960.00464982371466392
0.054.188538700374710.00362649327077861
0.064.190369193940280.00377408745680947
0.074.19204043339970.00486069962813614
0.084.193865604365350.0063783241486126
0.094.196014996326410.00800460519576874
0.14.198543215621260.00955282245013453
0.114.201433520865000.0109406428402490
0.124.204640403786410.0121948644289225
0.134.208121636293730.0134050446560984
0.144.211857161667860.0146979236436972
0.154.215855494701040.0162019336074041
0.164.22014981799050.0180084140944781
0.174.224786609052990.0201228321522023
0.184.229809986679110.0224782260551468
0.194.235245235299940.0249160024650624
0.24.241085014573510.0272202939349583
0.214.247281295296280.0291564543378343
0.224.25374491318630.0305207085694015
0.234.260352937975660.0311699563937315
0.244.266962249034280.0310369781017136
0.254.273426330957330.0301581789652392
0.264.279611762512720.0286440501337028
0.274.285411281412310.0266650085522125
0.284.290751454865910.0244024186680197
0.294.295594449484620.0220402877990196
0.34.299934717381170.0197260659976575
0.314.303792268469050.0175650313424751
0.324.307204462708690.0156176717552444
0.334.310218012743620.0139070867853476
0.344.312882344051060.0124240847769502
0.354.315244848223830.0111506301154684
0.364.317348061340430.0100523278192240
0.374.319228486057550.00909680696645792
0.384.320916648043660.00826108087815577
0.394.322437976387630.00752371438725478
0.44.323814153415510.00686792769651366
0.414.325064640618560.00628633601412697
0.424.326208134098570.00579043773316814
0.434.327263741356590.00537749128078771
0.444.328251719127540.00506746791712092
0.454.329193682738310.00488879028474238
0.464.330112290468360.00483734923130731
0.474.331030505730110.00492239811729561
0.484.331970620840110.00513374446007349
0.494.332953265274520.00545329120915795
0.54.333996605808540.00585057035346128
0.514.335115878959250.00631693269409882
0.524.336323296286760.00682856251727348
0.534.337628258845640.00737110075370339
0.544.339037738137670.00793762021439867
0.554.340556649401510.00851724103917925
0.564.342188067093650.0091040831804311
0.574.343933203921320.0096948353883142
0.584.345791172044480.010270802357833
0.594.347758638829380.0108214547466690
0.64.349829551136140.0113235142915676
0.614.351995111283090.0117596903856077
0.624.35424413838530.0121184479199254
0.634.356563850938290.0123882580597045
0.644.358940985223550.0125725006822554
0.654.361363053362240.0126785948061226
0.664.363819479141330.0127187890417258
0.674.366302354179330.0127158219792693
0.684.368806638607850.0126914489385109
0.694.371329773732320.0126614810845794
0.74.373870843283150.0126283188552408
0.714.376429568084830.0125957073553844
0.724.379005502730160.0125508237029757
0.734.381597796051940.0124874302669976
0.744.384205779307280.0123989000393683
0.754.386830480117570.0122910587264917
0.764.389476961500740.0121810878659059
0.774.392157185952470.0121010455776181
0.784.394892924330650.0121003305718726
0.794.397718079551840.0122364526109863
0.84.400679694140940.0125668073266932
0.814.403836898542970.0131445630471765
0.824.407257189895190.0139909478885842
0.834.411009743707620.0150941025387259
0.844.415155916187920.0163827426556545
0.854.419737568620150.0177428177223001
0.864.424764206701030.0190207803384944
0.874.430200211348200.0200390253733862
0.884.435953975532880.0206043845386502
0.894.441872049723010.0205325893030634
0.94.447743538275740.0196665066249914
0.914.45332188046290.0179309677243026
0.924.45837001196010.0153952384551659
0.934.462726869652560.0123417936538141
0.944.466375663364150.00927718450918615
0.954.469470869807530.00685633884118015
0.964.472269126924390.00564585936555398
0.974.474944866737340.00533201006932833
0.984.477383917087970.00454965419681733
0.994.479180214450360.0024101472459916



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')