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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, 08 Mar 2009 09:16:31 -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/Mar/08/t1236525536ljp1gujjv2gh0kv.htm/, Retrieved Sat, 14 Feb 2026 03:59:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38694, Retrieved Sat, 14 Feb 2026 03:59:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact383

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [ria vanthillo pri...] [2009-03-08 15:16:31] [822aa141fddc67f18188afbe1dd38d3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,38
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,7
1,7
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75
1,76
1,79
1,83
1,84
1,85
1,87
1,87
1,87
1,88
1,88
1,88

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38694&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38694&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.380000000001290
0.021.380000000061350
0.031.380000001262350
0.041.380000015664665.14845701918326e-07
0.051.380000134953215.14845701918326e-07
0.061.380000872998934.63361131726493e-06
0.071.380004458807912.11086737786514e-05
0.081.380018621851347.92862380954222e-05
0.091.380065270014050.000248670474026551
0.11.380195907206380.000663636109772722
0.111.380511784059940.00153063627180318
0.121.381179476233430.00308701482870228
0.131.382425959132830.0055037005535069
0.141.384498831268970.00874465424708277
0.151.387591967893730.0124746163946996
0.161.391759568962040.0160745125052940
0.171.396857546415990.0188161859266147
0.181.402546287621340.0200997216051341
0.191.408362152277380.0196818608011689
0.21.413831873881860.0177389678702460
0.211.418584885079860.0147858864559856
0.221.422423993273210.0114787401959204
0.231.425338709527410.00842387989304954
0.241.427471620581860.00606752290249007
0.251.429062446465610.00470775014261898
0.261.430393059679170.0045344841016093
0.271.431745552611910.00550923327106846
0.281.433373549395800.00738699369208335
0.291.435480773847300.0098908544923818
0.31.438201693018090.0127209651349683
0.311.441584086063770.0155099169704318
0.321.445578405108240.0178641916261671
0.331.450040485842230.0194240233829211
0.341.454751494381240.0199454309920609
0.351.45945333529070.0193553103490660
0.361.463891945635400.0177618574191616
0.371.467857775448650.0154263849252917
0.381.471213700498750.0126866868892447
0.391.473905039574000.00988773403926362
0.41.475952173091430.0073080994194707
0.411.477431084552360.00513123355591701
0.421.478449407679650.00343587051979018
0.431.479125054819190.00222301387907368
0.441.479572133225480.00145803674872735
0.451.479895932943160.00112523347097232
0.461.480196305303830.00126503999204533
0.471.480577125240090.00191052521934654
0.481.481158586196860.00312081208930814
0.491.482088479449410.00502973624999548
0.51.483548230360560.00779108672746768
0.511.485749564287830.0115149581545454
0.521.488918795815920.0162135780148133
0.531.493268317285910.0217443512135315
0.541.498958772055250.0277856863688919
0.551.506059637456550.0338492919108823
0.561.514518813334940.0393539843510441
0.571.524151595288540.0437277205230293
0.581.534655317554060.0465225776640295
0.591.545648819317750.0475083069444699
0.61.556728138100390.0467373147276047
0.611.567524517512450.0445011549331965
0.621.577750195406850.0412515050067057
0.631.587221838781220.0374942223233462
0.641.595859106113540.0336665092615717
0.651.603663574321370.0300670795715836
0.661.610688275855490.0268347482281101
0.671.61700887812630.0239899711986881
0.681.622704479892580.0214842001652554
0.691.627850869341140.0192724128539300
0.71.632524080604360.0173474581156861
0.711.636808876765810.0157575517610097
0.721.640806046027390.0145839418452076
0.731.644633844226950.013905396755379
0.741.648421742719960.0137527085232132
0.751.652297925269120.0140845273314421
0.761.656374833220380.0147866750397930
0.771.660738544558470.0157077181666874
0.781.665446942264550.0167176347932124
0.791.670538038776900.0177374135442365
0.81.676044354058100.0187775628406397
0.811.682004456950950.0198907465367737
0.821.688462092595080.0211043234689486
0.831.695449102077510.0223528841793408
0.841.702960010655850.0234563430408204
0.851.710939360378410.0241971809834931
0.861.719309778555840.0244721680566141
0.871.728059294231550.0245020967291279
0.881.737371830574790.0249553940027525
0.891.747728189151500.0268316793849162
0.91.759857496787370.0307576420208702
0.911.774443764857660.0360848238541555
0.921.791638045852210.040728061545485
0.931.810638681715100.0420798862470845
0.941.829694396121220.0385242043315423
0.951.846698070194150.0305780039284532
0.961.860129478180560.0208037252556202
0.971.869680919313180.0123802695947471
0.981.875871367877860.0066569014459714
0.991.879115733616310.00235508181095713

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.38000000000129 & 0 \tabularnewline
0.02 & 1.38000000006135 & 0 \tabularnewline
0.03 & 1.38000000126235 & 0 \tabularnewline
0.04 & 1.38000001566466 & 5.14845701918326e-07 \tabularnewline
0.05 & 1.38000013495321 & 5.14845701918326e-07 \tabularnewline
0.06 & 1.38000087299893 & 4.63361131726493e-06 \tabularnewline
0.07 & 1.38000445880791 & 2.11086737786514e-05 \tabularnewline
0.08 & 1.38001862185134 & 7.92862380954222e-05 \tabularnewline
0.09 & 1.38006527001405 & 0.000248670474026551 \tabularnewline
0.1 & 1.38019590720638 & 0.000663636109772722 \tabularnewline
0.11 & 1.38051178405994 & 0.00153063627180318 \tabularnewline
0.12 & 1.38117947623343 & 0.00308701482870228 \tabularnewline
0.13 & 1.38242595913283 & 0.0055037005535069 \tabularnewline
0.14 & 1.38449883126897 & 0.00874465424708277 \tabularnewline
0.15 & 1.38759196789373 & 0.0124746163946996 \tabularnewline
0.16 & 1.39175956896204 & 0.0160745125052940 \tabularnewline
0.17 & 1.39685754641599 & 0.0188161859266147 \tabularnewline
0.18 & 1.40254628762134 & 0.0200997216051341 \tabularnewline
0.19 & 1.40836215227738 & 0.0196818608011689 \tabularnewline
0.2 & 1.41383187388186 & 0.0177389678702460 \tabularnewline
0.21 & 1.41858488507986 & 0.0147858864559856 \tabularnewline
0.22 & 1.42242399327321 & 0.0114787401959204 \tabularnewline
0.23 & 1.42533870952741 & 0.00842387989304954 \tabularnewline
0.24 & 1.42747162058186 & 0.00606752290249007 \tabularnewline
0.25 & 1.42906244646561 & 0.00470775014261898 \tabularnewline
0.26 & 1.43039305967917 & 0.0045344841016093 \tabularnewline
0.27 & 1.43174555261191 & 0.00550923327106846 \tabularnewline
0.28 & 1.43337354939580 & 0.00738699369208335 \tabularnewline
0.29 & 1.43548077384730 & 0.0098908544923818 \tabularnewline
0.3 & 1.43820169301809 & 0.0127209651349683 \tabularnewline
0.31 & 1.44158408606377 & 0.0155099169704318 \tabularnewline
0.32 & 1.44557840510824 & 0.0178641916261671 \tabularnewline
0.33 & 1.45004048584223 & 0.0194240233829211 \tabularnewline
0.34 & 1.45475149438124 & 0.0199454309920609 \tabularnewline
0.35 & 1.4594533352907 & 0.0193553103490660 \tabularnewline
0.36 & 1.46389194563540 & 0.0177618574191616 \tabularnewline
0.37 & 1.46785777544865 & 0.0154263849252917 \tabularnewline
0.38 & 1.47121370049875 & 0.0126866868892447 \tabularnewline
0.39 & 1.47390503957400 & 0.00988773403926362 \tabularnewline
0.4 & 1.47595217309143 & 0.0073080994194707 \tabularnewline
0.41 & 1.47743108455236 & 0.00513123355591701 \tabularnewline
0.42 & 1.47844940767965 & 0.00343587051979018 \tabularnewline
0.43 & 1.47912505481919 & 0.00222301387907368 \tabularnewline
0.44 & 1.47957213322548 & 0.00145803674872735 \tabularnewline
0.45 & 1.47989593294316 & 0.00112523347097232 \tabularnewline
0.46 & 1.48019630530383 & 0.00126503999204533 \tabularnewline
0.47 & 1.48057712524009 & 0.00191052521934654 \tabularnewline
0.48 & 1.48115858619686 & 0.00312081208930814 \tabularnewline
0.49 & 1.48208847944941 & 0.00502973624999548 \tabularnewline
0.5 & 1.48354823036056 & 0.00779108672746768 \tabularnewline
0.51 & 1.48574956428783 & 0.0115149581545454 \tabularnewline
0.52 & 1.48891879581592 & 0.0162135780148133 \tabularnewline
0.53 & 1.49326831728591 & 0.0217443512135315 \tabularnewline
0.54 & 1.49895877205525 & 0.0277856863688919 \tabularnewline
0.55 & 1.50605963745655 & 0.0338492919108823 \tabularnewline
0.56 & 1.51451881333494 & 0.0393539843510441 \tabularnewline
0.57 & 1.52415159528854 & 0.0437277205230293 \tabularnewline
0.58 & 1.53465531755406 & 0.0465225776640295 \tabularnewline
0.59 & 1.54564881931775 & 0.0475083069444699 \tabularnewline
0.6 & 1.55672813810039 & 0.0467373147276047 \tabularnewline
0.61 & 1.56752451751245 & 0.0445011549331965 \tabularnewline
0.62 & 1.57775019540685 & 0.0412515050067057 \tabularnewline
0.63 & 1.58722183878122 & 0.0374942223233462 \tabularnewline
0.64 & 1.59585910611354 & 0.0336665092615717 \tabularnewline
0.65 & 1.60366357432137 & 0.0300670795715836 \tabularnewline
0.66 & 1.61068827585549 & 0.0268347482281101 \tabularnewline
0.67 & 1.6170088781263 & 0.0239899711986881 \tabularnewline
0.68 & 1.62270447989258 & 0.0214842001652554 \tabularnewline
0.69 & 1.62785086934114 & 0.0192724128539300 \tabularnewline
0.7 & 1.63252408060436 & 0.0173474581156861 \tabularnewline
0.71 & 1.63680887676581 & 0.0157575517610097 \tabularnewline
0.72 & 1.64080604602739 & 0.0145839418452076 \tabularnewline
0.73 & 1.64463384422695 & 0.013905396755379 \tabularnewline
0.74 & 1.64842174271996 & 0.0137527085232132 \tabularnewline
0.75 & 1.65229792526912 & 0.0140845273314421 \tabularnewline
0.76 & 1.65637483322038 & 0.0147866750397930 \tabularnewline
0.77 & 1.66073854455847 & 0.0157077181666874 \tabularnewline
0.78 & 1.66544694226455 & 0.0167176347932124 \tabularnewline
0.79 & 1.67053803877690 & 0.0177374135442365 \tabularnewline
0.8 & 1.67604435405810 & 0.0187775628406397 \tabularnewline
0.81 & 1.68200445695095 & 0.0198907465367737 \tabularnewline
0.82 & 1.68846209259508 & 0.0211043234689486 \tabularnewline
0.83 & 1.69544910207751 & 0.0223528841793408 \tabularnewline
0.84 & 1.70296001065585 & 0.0234563430408204 \tabularnewline
0.85 & 1.71093936037841 & 0.0241971809834931 \tabularnewline
0.86 & 1.71930977855584 & 0.0244721680566141 \tabularnewline
0.87 & 1.72805929423155 & 0.0245020967291279 \tabularnewline
0.88 & 1.73737183057479 & 0.0249553940027525 \tabularnewline
0.89 & 1.74772818915150 & 0.0268316793849162 \tabularnewline
0.9 & 1.75985749678737 & 0.0307576420208702 \tabularnewline
0.91 & 1.77444376485766 & 0.0360848238541555 \tabularnewline
0.92 & 1.79163804585221 & 0.040728061545485 \tabularnewline
0.93 & 1.81063868171510 & 0.0420798862470845 \tabularnewline
0.94 & 1.82969439612122 & 0.0385242043315423 \tabularnewline
0.95 & 1.84669807019415 & 0.0305780039284532 \tabularnewline
0.96 & 1.86012947818056 & 0.0208037252556202 \tabularnewline
0.97 & 1.86968091931318 & 0.0123802695947471 \tabularnewline
0.98 & 1.87587136787786 & 0.0066569014459714 \tabularnewline
0.99 & 1.87911573361631 & 0.00235508181095713 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38694&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]1.38000000000129[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]1.38000000006135[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]1.38000000126235[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]1.38000001566466[/C][C]5.14845701918326e-07[/C][/ROW]
[ROW][C]0.05[/C][C]1.38000013495321[/C][C]5.14845701918326e-07[/C][/ROW]
[ROW][C]0.06[/C][C]1.38000087299893[/C][C]4.63361131726493e-06[/C][/ROW]
[ROW][C]0.07[/C][C]1.38000445880791[/C][C]2.11086737786514e-05[/C][/ROW]
[ROW][C]0.08[/C][C]1.38001862185134[/C][C]7.92862380954222e-05[/C][/ROW]
[ROW][C]0.09[/C][C]1.38006527001405[/C][C]0.000248670474026551[/C][/ROW]
[ROW][C]0.1[/C][C]1.38019590720638[/C][C]0.000663636109772722[/C][/ROW]
[ROW][C]0.11[/C][C]1.38051178405994[/C][C]0.00153063627180318[/C][/ROW]
[ROW][C]0.12[/C][C]1.38117947623343[/C][C]0.00308701482870228[/C][/ROW]
[ROW][C]0.13[/C][C]1.38242595913283[/C][C]0.0055037005535069[/C][/ROW]
[ROW][C]0.14[/C][C]1.38449883126897[/C][C]0.00874465424708277[/C][/ROW]
[ROW][C]0.15[/C][C]1.38759196789373[/C][C]0.0124746163946996[/C][/ROW]
[ROW][C]0.16[/C][C]1.39175956896204[/C][C]0.0160745125052940[/C][/ROW]
[ROW][C]0.17[/C][C]1.39685754641599[/C][C]0.0188161859266147[/C][/ROW]
[ROW][C]0.18[/C][C]1.40254628762134[/C][C]0.0200997216051341[/C][/ROW]
[ROW][C]0.19[/C][C]1.40836215227738[/C][C]0.0196818608011689[/C][/ROW]
[ROW][C]0.2[/C][C]1.41383187388186[/C][C]0.0177389678702460[/C][/ROW]
[ROW][C]0.21[/C][C]1.41858488507986[/C][C]0.0147858864559856[/C][/ROW]
[ROW][C]0.22[/C][C]1.42242399327321[/C][C]0.0114787401959204[/C][/ROW]
[ROW][C]0.23[/C][C]1.42533870952741[/C][C]0.00842387989304954[/C][/ROW]
[ROW][C]0.24[/C][C]1.42747162058186[/C][C]0.00606752290249007[/C][/ROW]
[ROW][C]0.25[/C][C]1.42906244646561[/C][C]0.00470775014261898[/C][/ROW]
[ROW][C]0.26[/C][C]1.43039305967917[/C][C]0.0045344841016093[/C][/ROW]
[ROW][C]0.27[/C][C]1.43174555261191[/C][C]0.00550923327106846[/C][/ROW]
[ROW][C]0.28[/C][C]1.43337354939580[/C][C]0.00738699369208335[/C][/ROW]
[ROW][C]0.29[/C][C]1.43548077384730[/C][C]0.0098908544923818[/C][/ROW]
[ROW][C]0.3[/C][C]1.43820169301809[/C][C]0.0127209651349683[/C][/ROW]
[ROW][C]0.31[/C][C]1.44158408606377[/C][C]0.0155099169704318[/C][/ROW]
[ROW][C]0.32[/C][C]1.44557840510824[/C][C]0.0178641916261671[/C][/ROW]
[ROW][C]0.33[/C][C]1.45004048584223[/C][C]0.0194240233829211[/C][/ROW]
[ROW][C]0.34[/C][C]1.45475149438124[/C][C]0.0199454309920609[/C][/ROW]
[ROW][C]0.35[/C][C]1.4594533352907[/C][C]0.0193553103490660[/C][/ROW]
[ROW][C]0.36[/C][C]1.46389194563540[/C][C]0.0177618574191616[/C][/ROW]
[ROW][C]0.37[/C][C]1.46785777544865[/C][C]0.0154263849252917[/C][/ROW]
[ROW][C]0.38[/C][C]1.47121370049875[/C][C]0.0126866868892447[/C][/ROW]
[ROW][C]0.39[/C][C]1.47390503957400[/C][C]0.00988773403926362[/C][/ROW]
[ROW][C]0.4[/C][C]1.47595217309143[/C][C]0.0073080994194707[/C][/ROW]
[ROW][C]0.41[/C][C]1.47743108455236[/C][C]0.00513123355591701[/C][/ROW]
[ROW][C]0.42[/C][C]1.47844940767965[/C][C]0.00343587051979018[/C][/ROW]
[ROW][C]0.43[/C][C]1.47912505481919[/C][C]0.00222301387907368[/C][/ROW]
[ROW][C]0.44[/C][C]1.47957213322548[/C][C]0.00145803674872735[/C][/ROW]
[ROW][C]0.45[/C][C]1.47989593294316[/C][C]0.00112523347097232[/C][/ROW]
[ROW][C]0.46[/C][C]1.48019630530383[/C][C]0.00126503999204533[/C][/ROW]
[ROW][C]0.47[/C][C]1.48057712524009[/C][C]0.00191052521934654[/C][/ROW]
[ROW][C]0.48[/C][C]1.48115858619686[/C][C]0.00312081208930814[/C][/ROW]
[ROW][C]0.49[/C][C]1.48208847944941[/C][C]0.00502973624999548[/C][/ROW]
[ROW][C]0.5[/C][C]1.48354823036056[/C][C]0.00779108672746768[/C][/ROW]
[ROW][C]0.51[/C][C]1.48574956428783[/C][C]0.0115149581545454[/C][/ROW]
[ROW][C]0.52[/C][C]1.48891879581592[/C][C]0.0162135780148133[/C][/ROW]
[ROW][C]0.53[/C][C]1.49326831728591[/C][C]0.0217443512135315[/C][/ROW]
[ROW][C]0.54[/C][C]1.49895877205525[/C][C]0.0277856863688919[/C][/ROW]
[ROW][C]0.55[/C][C]1.50605963745655[/C][C]0.0338492919108823[/C][/ROW]
[ROW][C]0.56[/C][C]1.51451881333494[/C][C]0.0393539843510441[/C][/ROW]
[ROW][C]0.57[/C][C]1.52415159528854[/C][C]0.0437277205230293[/C][/ROW]
[ROW][C]0.58[/C][C]1.53465531755406[/C][C]0.0465225776640295[/C][/ROW]
[ROW][C]0.59[/C][C]1.54564881931775[/C][C]0.0475083069444699[/C][/ROW]
[ROW][C]0.6[/C][C]1.55672813810039[/C][C]0.0467373147276047[/C][/ROW]
[ROW][C]0.61[/C][C]1.56752451751245[/C][C]0.0445011549331965[/C][/ROW]
[ROW][C]0.62[/C][C]1.57775019540685[/C][C]0.0412515050067057[/C][/ROW]
[ROW][C]0.63[/C][C]1.58722183878122[/C][C]0.0374942223233462[/C][/ROW]
[ROW][C]0.64[/C][C]1.59585910611354[/C][C]0.0336665092615717[/C][/ROW]
[ROW][C]0.65[/C][C]1.60366357432137[/C][C]0.0300670795715836[/C][/ROW]
[ROW][C]0.66[/C][C]1.61068827585549[/C][C]0.0268347482281101[/C][/ROW]
[ROW][C]0.67[/C][C]1.6170088781263[/C][C]0.0239899711986881[/C][/ROW]
[ROW][C]0.68[/C][C]1.62270447989258[/C][C]0.0214842001652554[/C][/ROW]
[ROW][C]0.69[/C][C]1.62785086934114[/C][C]0.0192724128539300[/C][/ROW]
[ROW][C]0.7[/C][C]1.63252408060436[/C][C]0.0173474581156861[/C][/ROW]
[ROW][C]0.71[/C][C]1.63680887676581[/C][C]0.0157575517610097[/C][/ROW]
[ROW][C]0.72[/C][C]1.64080604602739[/C][C]0.0145839418452076[/C][/ROW]
[ROW][C]0.73[/C][C]1.64463384422695[/C][C]0.013905396755379[/C][/ROW]
[ROW][C]0.74[/C][C]1.64842174271996[/C][C]0.0137527085232132[/C][/ROW]
[ROW][C]0.75[/C][C]1.65229792526912[/C][C]0.0140845273314421[/C][/ROW]
[ROW][C]0.76[/C][C]1.65637483322038[/C][C]0.0147866750397930[/C][/ROW]
[ROW][C]0.77[/C][C]1.66073854455847[/C][C]0.0157077181666874[/C][/ROW]
[ROW][C]0.78[/C][C]1.66544694226455[/C][C]0.0167176347932124[/C][/ROW]
[ROW][C]0.79[/C][C]1.67053803877690[/C][C]0.0177374135442365[/C][/ROW]
[ROW][C]0.8[/C][C]1.67604435405810[/C][C]0.0187775628406397[/C][/ROW]
[ROW][C]0.81[/C][C]1.68200445695095[/C][C]0.0198907465367737[/C][/ROW]
[ROW][C]0.82[/C][C]1.68846209259508[/C][C]0.0211043234689486[/C][/ROW]
[ROW][C]0.83[/C][C]1.69544910207751[/C][C]0.0223528841793408[/C][/ROW]
[ROW][C]0.84[/C][C]1.70296001065585[/C][C]0.0234563430408204[/C][/ROW]
[ROW][C]0.85[/C][C]1.71093936037841[/C][C]0.0241971809834931[/C][/ROW]
[ROW][C]0.86[/C][C]1.71930977855584[/C][C]0.0244721680566141[/C][/ROW]
[ROW][C]0.87[/C][C]1.72805929423155[/C][C]0.0245020967291279[/C][/ROW]
[ROW][C]0.88[/C][C]1.73737183057479[/C][C]0.0249553940027525[/C][/ROW]
[ROW][C]0.89[/C][C]1.74772818915150[/C][C]0.0268316793849162[/C][/ROW]
[ROW][C]0.9[/C][C]1.75985749678737[/C][C]0.0307576420208702[/C][/ROW]
[ROW][C]0.91[/C][C]1.77444376485766[/C][C]0.0360848238541555[/C][/ROW]
[ROW][C]0.92[/C][C]1.79163804585221[/C][C]0.040728061545485[/C][/ROW]
[ROW][C]0.93[/C][C]1.81063868171510[/C][C]0.0420798862470845[/C][/ROW]
[ROW][C]0.94[/C][C]1.82969439612122[/C][C]0.0385242043315423[/C][/ROW]
[ROW][C]0.95[/C][C]1.84669807019415[/C][C]0.0305780039284532[/C][/ROW]
[ROW][C]0.96[/C][C]1.86012947818056[/C][C]0.0208037252556202[/C][/ROW]
[ROW][C]0.97[/C][C]1.86968091931318[/C][C]0.0123802695947471[/C][/ROW]
[ROW][C]0.98[/C][C]1.87587136787786[/C][C]0.0066569014459714[/C][/ROW]
[ROW][C]0.99[/C][C]1.87911573361631[/C][C]0.00235508181095713[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38694&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
0.011.380000000001290
0.021.380000000061350
0.031.380000001262350
0.041.380000015664665.14845701918326e-07
0.051.380000134953215.14845701918326e-07
0.061.380000872998934.63361131726493e-06
0.071.380004458807912.11086737786514e-05
0.081.380018621851347.92862380954222e-05
0.091.380065270014050.000248670474026551
0.11.380195907206380.000663636109772722
0.111.380511784059940.00153063627180318
0.121.381179476233430.00308701482870228
0.131.382425959132830.0055037005535069
0.141.384498831268970.00874465424708277
0.151.387591967893730.0124746163946996
0.161.391759568962040.0160745125052940
0.171.396857546415990.0188161859266147
0.181.402546287621340.0200997216051341
0.191.408362152277380.0196818608011689
0.21.413831873881860.0177389678702460
0.211.418584885079860.0147858864559856
0.221.422423993273210.0114787401959204
0.231.425338709527410.00842387989304954
0.241.427471620581860.00606752290249007
0.251.429062446465610.00470775014261898
0.261.430393059679170.0045344841016093
0.271.431745552611910.00550923327106846
0.281.433373549395800.00738699369208335
0.291.435480773847300.0098908544923818
0.31.438201693018090.0127209651349683
0.311.441584086063770.0155099169704318
0.321.445578405108240.0178641916261671
0.331.450040485842230.0194240233829211
0.341.454751494381240.0199454309920609
0.351.45945333529070.0193553103490660
0.361.463891945635400.0177618574191616
0.371.467857775448650.0154263849252917
0.381.471213700498750.0126866868892447
0.391.473905039574000.00988773403926362
0.41.475952173091430.0073080994194707
0.411.477431084552360.00513123355591701
0.421.478449407679650.00343587051979018
0.431.479125054819190.00222301387907368
0.441.479572133225480.00145803674872735
0.451.479895932943160.00112523347097232
0.461.480196305303830.00126503999204533
0.471.480577125240090.00191052521934654
0.481.481158586196860.00312081208930814
0.491.482088479449410.00502973624999548
0.51.483548230360560.00779108672746768
0.511.485749564287830.0115149581545454
0.521.488918795815920.0162135780148133
0.531.493268317285910.0217443512135315
0.541.498958772055250.0277856863688919
0.551.506059637456550.0338492919108823
0.561.514518813334940.0393539843510441
0.571.524151595288540.0437277205230293
0.581.534655317554060.0465225776640295
0.591.545648819317750.0475083069444699
0.61.556728138100390.0467373147276047
0.611.567524517512450.0445011549331965
0.621.577750195406850.0412515050067057
0.631.587221838781220.0374942223233462
0.641.595859106113540.0336665092615717
0.651.603663574321370.0300670795715836
0.661.610688275855490.0268347482281101
0.671.61700887812630.0239899711986881
0.681.622704479892580.0214842001652554
0.691.627850869341140.0192724128539300
0.71.632524080604360.0173474581156861
0.711.636808876765810.0157575517610097
0.721.640806046027390.0145839418452076
0.731.644633844226950.013905396755379
0.741.648421742719960.0137527085232132
0.751.652297925269120.0140845273314421
0.761.656374833220380.0147866750397930
0.771.660738544558470.0157077181666874
0.781.665446942264550.0167176347932124
0.791.670538038776900.0177374135442365
0.81.676044354058100.0187775628406397
0.811.682004456950950.0198907465367737
0.821.688462092595080.0211043234689486
0.831.695449102077510.0223528841793408
0.841.702960010655850.0234563430408204
0.851.710939360378410.0241971809834931
0.861.719309778555840.0244721680566141
0.871.728059294231550.0245020967291279
0.881.737371830574790.0249553940027525
0.891.747728189151500.0268316793849162
0.91.759857496787370.0307576420208702
0.911.774443764857660.0360848238541555
0.921.791638045852210.040728061545485
0.931.810638681715100.0420798862470845
0.941.829694396121220.0385242043315423
0.951.846698070194150.0305780039284532
0.961.860129478180560.0208037252556202
0.971.869680919313180.0123802695947471
0.981.875871367877860.0066569014459714
0.991.879115733616310.00235508181095713


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')