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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 computationWed, 19 Aug 2009 07:08:49 -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/Aug/19/t12506874102u0kh3msfn5k3f2.htm/, Retrieved Fri, 03 May 2024 17:08:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42936, Retrieved Fri, 03 May 2024 17:08:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Thomas Van den Bo...] [2009-03-02 22:07:26] [29fb2afdd4eca1705c3ee13bfc104084]
- RMPD    [Harrell-Davis Quantiles] [Thomas Van den Bo...] [2009-08-19 13:08:49] [50e97696ebad247f45d73cd9926afb25] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.93
5.9
5.9
5.94
5.86
5.92
5.9
5.91
5.84
5.84
5.83
5.82
5.8
5.91
5.92
5.96
5.9
5.92
6.09
6.31
6.25
6.23
6.22
6.19
6.15
6.12
6.13
6.1
6.05
6.07
6.09
6.17
6.12
6.12
6.13
6.19
6.24
6.41
6.5
6.53
6.58
6.53
6.51
6.51
6.49
6.49
6.49
6.53
6.65
6.61
6.52
6.62
6.6
6.61
6.63
6.62
6.6
6.59
6.59
6.52
6.52
6.61
6.59
6.6
6.48
6.53
6.56
6.56
6.49
6.45
6.44
6.43

Tables (Output of Computation)





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=42936&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=42936&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42936&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.806110249653350.0173651382197870
0.025.815095523968520.0151700420494975
0.035.82430405778130.0149604790485100
0.045.832960623600360.0169164576024647
0.055.84138837238310.0201981261972984
0.065.849994556159290.0235347284174516
0.075.858851674303070.0257484955157634
0.085.867708181762050.0261864037946402
0.095.876166792502750.0248734493090507
0.15.883874113909590.0223851095497895
0.115.890644509315560.019563285819984
0.125.896496778029160.0172057911849289
0.135.90162271978040.0159382411620466
0.145.9063244918810.0161019732979089
0.155.910953013388360.0177920228836194
0.165.915863349214120.0209555512065985
0.175.921387349579360.0254824309767726
0.185.927815681198040.0312026631900547
0.195.935381236666910.037845958163242
0.25.944240493584850.0450120842807886
0.215.954454780446770.0521969865455396
0.225.965976827797540.0588331936282338
0.235.978648384394530.0643560868491616
0.245.992212434354990.0683144020615156
0.256.00633987304930.0704314987836814
0.266.020666819816270.0706465193311874
0.276.03483623396350.0690777728667921
0.286.048536771785740.0660785906526501
0.296.061532863895720.0620973833227277
0.36.07368228794540.0576560549729863
0.316.084940291832090.0532594698677463
0.326.095351837742210.0493600979159058
0.336.105035267158170.046322075968538
0.346.114161426177980.0443643232506625
0.356.122932118803940.0436058451538347
0.366.131560931741410.0440283590000749
0.376.140258312981430.0455447399126336
0.386.149221568359590.0480430689224665
0.396.158629368921770.0513888148536172
0.46.16863956453570.0554709829508024
0.416.179388647082820.0601898622755165
0.426.190991132517580.0654621835093022
0.436.203537431718880.0711748282523697
0.446.217089405208330.077176463830211
0.456.231673637787590.0832688416004243
0.466.247273360158590.0891597612731401
0.476.263820685908520.0945438781787769
0.486.281191233595440.0990661195607897
0.496.299203136179880.102374077212571
0.56.317621879158930.104174666597891
0.516.336171451595010.104248113609868
0.526.354551142420320.102509657560764
0.536.37245622509170.0989856759053746
0.546.38959999277850.0938566181170564
0.556.405734304471540.0873978650970683
0.566.420666033698950.0799804874142464
0.576.434267506063570.0720091918412292
0.586.446480002838820.0638868278931286
0.596.457310481652030.055975731704672
0.66.46682261649330.0485926131189924
0.616.475123935098510.0419440612250115
0.626.482351154620670.0361635938761675
0.636.488655784083150.0312948134544066
0.646.494191730445810.027320803500202
0.656.499106104542720.0241589036396894
0.666.503533775573860.0217153058291005
0.676.507595565500260.0198867335350662
0.686.511399391580920.0185807404869974
0.696.515043224400770.0177408143677155
0.76.518618482324560.0173340474065062
0.716.522212467925890.0173589784972832
0.726.525908685591590.0178002817369290
0.736.529784354229660.0186268552847163
0.746.533905099450790.0197701834819933
0.756.538317581649960.0211048720348025
0.766.543041544053720.022462540029466
0.776.548063264680010.0236694380737685
0.786.553332486434660.0245277497041443
0.796.558764459585580.0248887053909088
0.86.564247764939230.0246421430829597
0.816.569657263497780.0237606500513228
0.826.574870161522160.0223033775731628
0.836.579782187994940.0203938852512763
0.846.584320607069240.0182217640755377
0.856.588451409752560.0159849573981884
0.866.592179468274720.0138711027496372
0.876.595542343083950.0120153623459032
0.886.59860023365110.0104949467077945
0.896.601425589358170.00930818138229364
0.96.604095650341850.00842174803572
0.916.606689847160920.00778830159775675
0.926.609292918292170.00738089911680038
0.936.61200611488580.00718411210047749
0.946.614973906048790.007198461737916
0.956.618435985855060.00748859325088365
0.966.622790889507820.00830651920910772
0.976.628564423608390.0100672107486959
0.986.63601313664680.0130375981224531
0.996.64414874594390.0167964412729462

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.80611024965335 & 0.0173651382197870 \tabularnewline
0.02 & 5.81509552396852 & 0.0151700420494975 \tabularnewline
0.03 & 5.8243040577813 & 0.0149604790485100 \tabularnewline
0.04 & 5.83296062360036 & 0.0169164576024647 \tabularnewline
0.05 & 5.8413883723831 & 0.0201981261972984 \tabularnewline
0.06 & 5.84999455615929 & 0.0235347284174516 \tabularnewline
0.07 & 5.85885167430307 & 0.0257484955157634 \tabularnewline
0.08 & 5.86770818176205 & 0.0261864037946402 \tabularnewline
0.09 & 5.87616679250275 & 0.0248734493090507 \tabularnewline
0.1 & 5.88387411390959 & 0.0223851095497895 \tabularnewline
0.11 & 5.89064450931556 & 0.019563285819984 \tabularnewline
0.12 & 5.89649677802916 & 0.0172057911849289 \tabularnewline
0.13 & 5.9016227197804 & 0.0159382411620466 \tabularnewline
0.14 & 5.906324491881 & 0.0161019732979089 \tabularnewline
0.15 & 5.91095301338836 & 0.0177920228836194 \tabularnewline
0.16 & 5.91586334921412 & 0.0209555512065985 \tabularnewline
0.17 & 5.92138734957936 & 0.0254824309767726 \tabularnewline
0.18 & 5.92781568119804 & 0.0312026631900547 \tabularnewline
0.19 & 5.93538123666691 & 0.037845958163242 \tabularnewline
0.2 & 5.94424049358485 & 0.0450120842807886 \tabularnewline
0.21 & 5.95445478044677 & 0.0521969865455396 \tabularnewline
0.22 & 5.96597682779754 & 0.0588331936282338 \tabularnewline
0.23 & 5.97864838439453 & 0.0643560868491616 \tabularnewline
0.24 & 5.99221243435499 & 0.0683144020615156 \tabularnewline
0.25 & 6.0063398730493 & 0.0704314987836814 \tabularnewline
0.26 & 6.02066681981627 & 0.0706465193311874 \tabularnewline
0.27 & 6.0348362339635 & 0.0690777728667921 \tabularnewline
0.28 & 6.04853677178574 & 0.0660785906526501 \tabularnewline
0.29 & 6.06153286389572 & 0.0620973833227277 \tabularnewline
0.3 & 6.0736822879454 & 0.0576560549729863 \tabularnewline
0.31 & 6.08494029183209 & 0.0532594698677463 \tabularnewline
0.32 & 6.09535183774221 & 0.0493600979159058 \tabularnewline
0.33 & 6.10503526715817 & 0.046322075968538 \tabularnewline
0.34 & 6.11416142617798 & 0.0443643232506625 \tabularnewline
0.35 & 6.12293211880394 & 0.0436058451538347 \tabularnewline
0.36 & 6.13156093174141 & 0.0440283590000749 \tabularnewline
0.37 & 6.14025831298143 & 0.0455447399126336 \tabularnewline
0.38 & 6.14922156835959 & 0.0480430689224665 \tabularnewline
0.39 & 6.15862936892177 & 0.0513888148536172 \tabularnewline
0.4 & 6.1686395645357 & 0.0554709829508024 \tabularnewline
0.41 & 6.17938864708282 & 0.0601898622755165 \tabularnewline
0.42 & 6.19099113251758 & 0.0654621835093022 \tabularnewline
0.43 & 6.20353743171888 & 0.0711748282523697 \tabularnewline
0.44 & 6.21708940520833 & 0.077176463830211 \tabularnewline
0.45 & 6.23167363778759 & 0.0832688416004243 \tabularnewline
0.46 & 6.24727336015859 & 0.0891597612731401 \tabularnewline
0.47 & 6.26382068590852 & 0.0945438781787769 \tabularnewline
0.48 & 6.28119123359544 & 0.0990661195607897 \tabularnewline
0.49 & 6.29920313617988 & 0.102374077212571 \tabularnewline
0.5 & 6.31762187915893 & 0.104174666597891 \tabularnewline
0.51 & 6.33617145159501 & 0.104248113609868 \tabularnewline
0.52 & 6.35455114242032 & 0.102509657560764 \tabularnewline
0.53 & 6.3724562250917 & 0.0989856759053746 \tabularnewline
0.54 & 6.3895999927785 & 0.0938566181170564 \tabularnewline
0.55 & 6.40573430447154 & 0.0873978650970683 \tabularnewline
0.56 & 6.42066603369895 & 0.0799804874142464 \tabularnewline
0.57 & 6.43426750606357 & 0.0720091918412292 \tabularnewline
0.58 & 6.44648000283882 & 0.0638868278931286 \tabularnewline
0.59 & 6.45731048165203 & 0.055975731704672 \tabularnewline
0.6 & 6.4668226164933 & 0.0485926131189924 \tabularnewline
0.61 & 6.47512393509851 & 0.0419440612250115 \tabularnewline
0.62 & 6.48235115462067 & 0.0361635938761675 \tabularnewline
0.63 & 6.48865578408315 & 0.0312948134544066 \tabularnewline
0.64 & 6.49419173044581 & 0.027320803500202 \tabularnewline
0.65 & 6.49910610454272 & 0.0241589036396894 \tabularnewline
0.66 & 6.50353377557386 & 0.0217153058291005 \tabularnewline
0.67 & 6.50759556550026 & 0.0198867335350662 \tabularnewline
0.68 & 6.51139939158092 & 0.0185807404869974 \tabularnewline
0.69 & 6.51504322440077 & 0.0177408143677155 \tabularnewline
0.7 & 6.51861848232456 & 0.0173340474065062 \tabularnewline
0.71 & 6.52221246792589 & 0.0173589784972832 \tabularnewline
0.72 & 6.52590868559159 & 0.0178002817369290 \tabularnewline
0.73 & 6.52978435422966 & 0.0186268552847163 \tabularnewline
0.74 & 6.53390509945079 & 0.0197701834819933 \tabularnewline
0.75 & 6.53831758164996 & 0.0211048720348025 \tabularnewline
0.76 & 6.54304154405372 & 0.022462540029466 \tabularnewline
0.77 & 6.54806326468001 & 0.0236694380737685 \tabularnewline
0.78 & 6.55333248643466 & 0.0245277497041443 \tabularnewline
0.79 & 6.55876445958558 & 0.0248887053909088 \tabularnewline
0.8 & 6.56424776493923 & 0.0246421430829597 \tabularnewline
0.81 & 6.56965726349778 & 0.0237606500513228 \tabularnewline
0.82 & 6.57487016152216 & 0.0223033775731628 \tabularnewline
0.83 & 6.57978218799494 & 0.0203938852512763 \tabularnewline
0.84 & 6.58432060706924 & 0.0182217640755377 \tabularnewline
0.85 & 6.58845140975256 & 0.0159849573981884 \tabularnewline
0.86 & 6.59217946827472 & 0.0138711027496372 \tabularnewline
0.87 & 6.59554234308395 & 0.0120153623459032 \tabularnewline
0.88 & 6.5986002336511 & 0.0104949467077945 \tabularnewline
0.89 & 6.60142558935817 & 0.00930818138229364 \tabularnewline
0.9 & 6.60409565034185 & 0.00842174803572 \tabularnewline
0.91 & 6.60668984716092 & 0.00778830159775675 \tabularnewline
0.92 & 6.60929291829217 & 0.00738089911680038 \tabularnewline
0.93 & 6.6120061148858 & 0.00718411210047749 \tabularnewline
0.94 & 6.61497390604879 & 0.007198461737916 \tabularnewline
0.95 & 6.61843598585506 & 0.00748859325088365 \tabularnewline
0.96 & 6.62279088950782 & 0.00830651920910772 \tabularnewline
0.97 & 6.62856442360839 & 0.0100672107486959 \tabularnewline
0.98 & 6.6360131366468 & 0.0130375981224531 \tabularnewline
0.99 & 6.6441487459439 & 0.0167964412729462 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42936&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]5.80611024965335[/C][C]0.0173651382197870[/C][/ROW]
[ROW][C]0.02[/C][C]5.81509552396852[/C][C]0.0151700420494975[/C][/ROW]
[ROW][C]0.03[/C][C]5.8243040577813[/C][C]0.0149604790485100[/C][/ROW]
[ROW][C]0.04[/C][C]5.83296062360036[/C][C]0.0169164576024647[/C][/ROW]
[ROW][C]0.05[/C][C]5.8413883723831[/C][C]0.0201981261972984[/C][/ROW]
[ROW][C]0.06[/C][C]5.84999455615929[/C][C]0.0235347284174516[/C][/ROW]
[ROW][C]0.07[/C][C]5.85885167430307[/C][C]0.0257484955157634[/C][/ROW]
[ROW][C]0.08[/C][C]5.86770818176205[/C][C]0.0261864037946402[/C][/ROW]
[ROW][C]0.09[/C][C]5.87616679250275[/C][C]0.0248734493090507[/C][/ROW]
[ROW][C]0.1[/C][C]5.88387411390959[/C][C]0.0223851095497895[/C][/ROW]
[ROW][C]0.11[/C][C]5.89064450931556[/C][C]0.019563285819984[/C][/ROW]
[ROW][C]0.12[/C][C]5.89649677802916[/C][C]0.0172057911849289[/C][/ROW]
[ROW][C]0.13[/C][C]5.9016227197804[/C][C]0.0159382411620466[/C][/ROW]
[ROW][C]0.14[/C][C]5.906324491881[/C][C]0.0161019732979089[/C][/ROW]
[ROW][C]0.15[/C][C]5.91095301338836[/C][C]0.0177920228836194[/C][/ROW]
[ROW][C]0.16[/C][C]5.91586334921412[/C][C]0.0209555512065985[/C][/ROW]
[ROW][C]0.17[/C][C]5.92138734957936[/C][C]0.0254824309767726[/C][/ROW]
[ROW][C]0.18[/C][C]5.92781568119804[/C][C]0.0312026631900547[/C][/ROW]
[ROW][C]0.19[/C][C]5.93538123666691[/C][C]0.037845958163242[/C][/ROW]
[ROW][C]0.2[/C][C]5.94424049358485[/C][C]0.0450120842807886[/C][/ROW]
[ROW][C]0.21[/C][C]5.95445478044677[/C][C]0.0521969865455396[/C][/ROW]
[ROW][C]0.22[/C][C]5.96597682779754[/C][C]0.0588331936282338[/C][/ROW]
[ROW][C]0.23[/C][C]5.97864838439453[/C][C]0.0643560868491616[/C][/ROW]
[ROW][C]0.24[/C][C]5.99221243435499[/C][C]0.0683144020615156[/C][/ROW]
[ROW][C]0.25[/C][C]6.0063398730493[/C][C]0.0704314987836814[/C][/ROW]
[ROW][C]0.26[/C][C]6.02066681981627[/C][C]0.0706465193311874[/C][/ROW]
[ROW][C]0.27[/C][C]6.0348362339635[/C][C]0.0690777728667921[/C][/ROW]
[ROW][C]0.28[/C][C]6.04853677178574[/C][C]0.0660785906526501[/C][/ROW]
[ROW][C]0.29[/C][C]6.06153286389572[/C][C]0.0620973833227277[/C][/ROW]
[ROW][C]0.3[/C][C]6.0736822879454[/C][C]0.0576560549729863[/C][/ROW]
[ROW][C]0.31[/C][C]6.08494029183209[/C][C]0.0532594698677463[/C][/ROW]
[ROW][C]0.32[/C][C]6.09535183774221[/C][C]0.0493600979159058[/C][/ROW]
[ROW][C]0.33[/C][C]6.10503526715817[/C][C]0.046322075968538[/C][/ROW]
[ROW][C]0.34[/C][C]6.11416142617798[/C][C]0.0443643232506625[/C][/ROW]
[ROW][C]0.35[/C][C]6.12293211880394[/C][C]0.0436058451538347[/C][/ROW]
[ROW][C]0.36[/C][C]6.13156093174141[/C][C]0.0440283590000749[/C][/ROW]
[ROW][C]0.37[/C][C]6.14025831298143[/C][C]0.0455447399126336[/C][/ROW]
[ROW][C]0.38[/C][C]6.14922156835959[/C][C]0.0480430689224665[/C][/ROW]
[ROW][C]0.39[/C][C]6.15862936892177[/C][C]0.0513888148536172[/C][/ROW]
[ROW][C]0.4[/C][C]6.1686395645357[/C][C]0.0554709829508024[/C][/ROW]
[ROW][C]0.41[/C][C]6.17938864708282[/C][C]0.0601898622755165[/C][/ROW]
[ROW][C]0.42[/C][C]6.19099113251758[/C][C]0.0654621835093022[/C][/ROW]
[ROW][C]0.43[/C][C]6.20353743171888[/C][C]0.0711748282523697[/C][/ROW]
[ROW][C]0.44[/C][C]6.21708940520833[/C][C]0.077176463830211[/C][/ROW]
[ROW][C]0.45[/C][C]6.23167363778759[/C][C]0.0832688416004243[/C][/ROW]
[ROW][C]0.46[/C][C]6.24727336015859[/C][C]0.0891597612731401[/C][/ROW]
[ROW][C]0.47[/C][C]6.26382068590852[/C][C]0.0945438781787769[/C][/ROW]
[ROW][C]0.48[/C][C]6.28119123359544[/C][C]0.0990661195607897[/C][/ROW]
[ROW][C]0.49[/C][C]6.29920313617988[/C][C]0.102374077212571[/C][/ROW]
[ROW][C]0.5[/C][C]6.31762187915893[/C][C]0.104174666597891[/C][/ROW]
[ROW][C]0.51[/C][C]6.33617145159501[/C][C]0.104248113609868[/C][/ROW]
[ROW][C]0.52[/C][C]6.35455114242032[/C][C]0.102509657560764[/C][/ROW]
[ROW][C]0.53[/C][C]6.3724562250917[/C][C]0.0989856759053746[/C][/ROW]
[ROW][C]0.54[/C][C]6.3895999927785[/C][C]0.0938566181170564[/C][/ROW]
[ROW][C]0.55[/C][C]6.40573430447154[/C][C]0.0873978650970683[/C][/ROW]
[ROW][C]0.56[/C][C]6.42066603369895[/C][C]0.0799804874142464[/C][/ROW]
[ROW][C]0.57[/C][C]6.43426750606357[/C][C]0.0720091918412292[/C][/ROW]
[ROW][C]0.58[/C][C]6.44648000283882[/C][C]0.0638868278931286[/C][/ROW]
[ROW][C]0.59[/C][C]6.45731048165203[/C][C]0.055975731704672[/C][/ROW]
[ROW][C]0.6[/C][C]6.4668226164933[/C][C]0.0485926131189924[/C][/ROW]
[ROW][C]0.61[/C][C]6.47512393509851[/C][C]0.0419440612250115[/C][/ROW]
[ROW][C]0.62[/C][C]6.48235115462067[/C][C]0.0361635938761675[/C][/ROW]
[ROW][C]0.63[/C][C]6.48865578408315[/C][C]0.0312948134544066[/C][/ROW]
[ROW][C]0.64[/C][C]6.49419173044581[/C][C]0.027320803500202[/C][/ROW]
[ROW][C]0.65[/C][C]6.49910610454272[/C][C]0.0241589036396894[/C][/ROW]
[ROW][C]0.66[/C][C]6.50353377557386[/C][C]0.0217153058291005[/C][/ROW]
[ROW][C]0.67[/C][C]6.50759556550026[/C][C]0.0198867335350662[/C][/ROW]
[ROW][C]0.68[/C][C]6.51139939158092[/C][C]0.0185807404869974[/C][/ROW]
[ROW][C]0.69[/C][C]6.51504322440077[/C][C]0.0177408143677155[/C][/ROW]
[ROW][C]0.7[/C][C]6.51861848232456[/C][C]0.0173340474065062[/C][/ROW]
[ROW][C]0.71[/C][C]6.52221246792589[/C][C]0.0173589784972832[/C][/ROW]
[ROW][C]0.72[/C][C]6.52590868559159[/C][C]0.0178002817369290[/C][/ROW]
[ROW][C]0.73[/C][C]6.52978435422966[/C][C]0.0186268552847163[/C][/ROW]
[ROW][C]0.74[/C][C]6.53390509945079[/C][C]0.0197701834819933[/C][/ROW]
[ROW][C]0.75[/C][C]6.53831758164996[/C][C]0.0211048720348025[/C][/ROW]
[ROW][C]0.76[/C][C]6.54304154405372[/C][C]0.022462540029466[/C][/ROW]
[ROW][C]0.77[/C][C]6.54806326468001[/C][C]0.0236694380737685[/C][/ROW]
[ROW][C]0.78[/C][C]6.55333248643466[/C][C]0.0245277497041443[/C][/ROW]
[ROW][C]0.79[/C][C]6.55876445958558[/C][C]0.0248887053909088[/C][/ROW]
[ROW][C]0.8[/C][C]6.56424776493923[/C][C]0.0246421430829597[/C][/ROW]
[ROW][C]0.81[/C][C]6.56965726349778[/C][C]0.0237606500513228[/C][/ROW]
[ROW][C]0.82[/C][C]6.57487016152216[/C][C]0.0223033775731628[/C][/ROW]
[ROW][C]0.83[/C][C]6.57978218799494[/C][C]0.0203938852512763[/C][/ROW]
[ROW][C]0.84[/C][C]6.58432060706924[/C][C]0.0182217640755377[/C][/ROW]
[ROW][C]0.85[/C][C]6.58845140975256[/C][C]0.0159849573981884[/C][/ROW]
[ROW][C]0.86[/C][C]6.59217946827472[/C][C]0.0138711027496372[/C][/ROW]
[ROW][C]0.87[/C][C]6.59554234308395[/C][C]0.0120153623459032[/C][/ROW]
[ROW][C]0.88[/C][C]6.5986002336511[/C][C]0.0104949467077945[/C][/ROW]
[ROW][C]0.89[/C][C]6.60142558935817[/C][C]0.00930818138229364[/C][/ROW]
[ROW][C]0.9[/C][C]6.60409565034185[/C][C]0.00842174803572[/C][/ROW]
[ROW][C]0.91[/C][C]6.60668984716092[/C][C]0.00778830159775675[/C][/ROW]
[ROW][C]0.92[/C][C]6.60929291829217[/C][C]0.00738089911680038[/C][/ROW]
[ROW][C]0.93[/C][C]6.6120061148858[/C][C]0.00718411210047749[/C][/ROW]
[ROW][C]0.94[/C][C]6.61497390604879[/C][C]0.007198461737916[/C][/ROW]
[ROW][C]0.95[/C][C]6.61843598585506[/C][C]0.00748859325088365[/C][/ROW]
[ROW][C]0.96[/C][C]6.62279088950782[/C][C]0.00830651920910772[/C][/ROW]
[ROW][C]0.97[/C][C]6.62856442360839[/C][C]0.0100672107486959[/C][/ROW]
[ROW][C]0.98[/C][C]6.6360131366468[/C][C]0.0130375981224531[/C][/ROW]
[ROW][C]0.99[/C][C]6.6441487459439[/C][C]0.0167964412729462[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42936&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42936&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
0.015.806110249653350.0173651382197870
0.025.815095523968520.0151700420494975
0.035.82430405778130.0149604790485100
0.045.832960623600360.0169164576024647
0.055.84138837238310.0201981261972984
0.065.849994556159290.0235347284174516
0.075.858851674303070.0257484955157634
0.085.867708181762050.0261864037946402
0.095.876166792502750.0248734493090507
0.15.883874113909590.0223851095497895
0.115.890644509315560.019563285819984
0.125.896496778029160.0172057911849289
0.135.90162271978040.0159382411620466
0.145.9063244918810.0161019732979089
0.155.910953013388360.0177920228836194
0.165.915863349214120.0209555512065985
0.175.921387349579360.0254824309767726
0.185.927815681198040.0312026631900547
0.195.935381236666910.037845958163242
0.25.944240493584850.0450120842807886
0.215.954454780446770.0521969865455396
0.225.965976827797540.0588331936282338
0.235.978648384394530.0643560868491616
0.245.992212434354990.0683144020615156
0.256.00633987304930.0704314987836814
0.266.020666819816270.0706465193311874
0.276.03483623396350.0690777728667921
0.286.048536771785740.0660785906526501
0.296.061532863895720.0620973833227277
0.36.07368228794540.0576560549729863
0.316.084940291832090.0532594698677463
0.326.095351837742210.0493600979159058
0.336.105035267158170.046322075968538
0.346.114161426177980.0443643232506625
0.356.122932118803940.0436058451538347
0.366.131560931741410.0440283590000749
0.376.140258312981430.0455447399126336
0.386.149221568359590.0480430689224665
0.396.158629368921770.0513888148536172
0.46.16863956453570.0554709829508024
0.416.179388647082820.0601898622755165
0.426.190991132517580.0654621835093022
0.436.203537431718880.0711748282523697
0.446.217089405208330.077176463830211
0.456.231673637787590.0832688416004243
0.466.247273360158590.0891597612731401
0.476.263820685908520.0945438781787769
0.486.281191233595440.0990661195607897
0.496.299203136179880.102374077212571
0.56.317621879158930.104174666597891
0.516.336171451595010.104248113609868
0.526.354551142420320.102509657560764
0.536.37245622509170.0989856759053746
0.546.38959999277850.0938566181170564
0.556.405734304471540.0873978650970683
0.566.420666033698950.0799804874142464
0.576.434267506063570.0720091918412292
0.586.446480002838820.0638868278931286
0.596.457310481652030.055975731704672
0.66.46682261649330.0485926131189924
0.616.475123935098510.0419440612250115
0.626.482351154620670.0361635938761675
0.636.488655784083150.0312948134544066
0.646.494191730445810.027320803500202
0.656.499106104542720.0241589036396894
0.666.503533775573860.0217153058291005
0.676.507595565500260.0198867335350662
0.686.511399391580920.0185807404869974
0.696.515043224400770.0177408143677155
0.76.518618482324560.0173340474065062
0.716.522212467925890.0173589784972832
0.726.525908685591590.0178002817369290
0.736.529784354229660.0186268552847163
0.746.533905099450790.0197701834819933
0.756.538317581649960.0211048720348025
0.766.543041544053720.022462540029466
0.776.548063264680010.0236694380737685
0.786.553332486434660.0245277497041443
0.796.558764459585580.0248887053909088
0.86.564247764939230.0246421430829597
0.816.569657263497780.0237606500513228
0.826.574870161522160.0223033775731628
0.836.579782187994940.0203938852512763
0.846.584320607069240.0182217640755377
0.856.588451409752560.0159849573981884
0.866.592179468274720.0138711027496372
0.876.595542343083950.0120153623459032
0.886.59860023365110.0104949467077945
0.896.601425589358170.00930818138229364
0.96.604095650341850.00842174803572
0.916.606689847160920.00778830159775675
0.926.609292918292170.00738089911680038
0.936.61200611488580.00718411210047749
0.946.614973906048790.007198461737916
0.956.618435985855060.00748859325088365
0.966.622790889507820.00830651920910772
0.976.628564423608390.0100672107486959
0.986.63601313664680.0130375981224531
0.996.64414874594390.0167964412729462


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ;
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')