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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Nov 2010 22:31:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/02/t12887370068ewbkwznx9nqyw2.htm/, Retrieved Sat, 27 Apr 2024 14:55:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=92137, Retrieved Sat, 27 Apr 2024 14:55:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
F RMPD  [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2010-11-02 22:14:24] [f4dc4aa51d65be851b8508203d9f6001]
-   P       [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2010-11-02 22:31:17] [7a87ed98a7b21a29d6a45388a9b7b229] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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4.3076653355456E-14
0.0038240964384433
-0.0038240964383607
4.3076653355456E-14
4.3076653355456E-14
4.3076653355456E-14
0.0038240964384433
0.0094967475372392
0.0062814276885823
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14
-1.7763568394003E-14
-1.7763568394003E-14
0.0062814276885823
-2.1316282072803E-14
-2.1316282072803E-14
-0.0062814276886214
-1.7763568394003E-14

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=92137&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=92137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92137&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
0.015-0.007478883356126930.000379086602409551
0.025-0.007088301406003019.17802735457149e-05
0.035-0.006893932157757270.000163243534483273
0.045-0.006628598861782750.000263444217460828
0.055-0.006257632047177880.000343085500322439
0.065-0.005895099949786170.000302097615279150
0.075-0.005587184760234140.000309703409667912
0.085-0.005208207353780790.000574697021097277
0.095-0.004410625713751410.00137422669947455
0.105-0.002949702667281210.00204245647315875
0.115-0.001372305577269250.00163887830397965
0.125-0.0004136074969251330.000723180130169635
0.135-7.85808487446091e-050.000181689823110295
0.145-9.37687055995286e-062.68479961771328e-05
0.155-7.08063123221334e-072.40127939502131e-06
0.165-3.4253087497303e-081.33317893448119e-07
0.175-1.0765983031491e-094.69848648713458e-09
0.185-2.23459769539764e-111.07226407479674e-10
0.195-3.53736040914409e-131.61464485813976e-12
0.205-4.64374555450634e-141.80207060093203e-14
0.215-4.19936230760551e-142.63254357661306e-15
0.225-4.03998507968025e-142.4800716683579e-15
0.235-3.89660686357614e-142.17460594312595e-15
0.245-3.7718286987741e-141.98784524075983e-15
0.255-3.64440428057358e-142.422859510513e-15
0.265-3.47191488095147e-143.65963972117855e-15
0.275-3.22244355348536e-145.09801170856333e-15
0.285-2.91163079287141e-145.74891858416766e-15
0.295-2.59913533303850e-145.18804227807583e-15
0.305-2.34192080943465e-143.91678677868576e-15
0.315-2.15673215341297e-142.74320077003455e-15
0.325-2.02278984924813e-142.15424251907356e-15
0.335-1.90467806263776e-142.22516542192838e-15
0.345-1.77332369476553e-142.67192542842225e-15
0.355-1.62054505859232e-143.01998904706984e-15
0.365-1.45962458060941e-142.98242370010381e-15
0.375-1.30964257428271e-142.64085607351286e-15
0.385-1.18146474560928e-142.19611902752392e-15
0.395-1.07845066078523e-141.71778548139862e-15
0.405-1.00143727713845e-141.23408206121517e-15
0.415-9.47721473392596e-158.45033830470972e-16
0.425-9.09735888617757e-156.34042724344994e-16
0.435-8.78273238272982e-155.93933240500549e-16
0.445-8.4534028048193e-156.96417437819908e-16
0.455-8.03773630703889e-159.37268277274291e-16
0.465-7.46941755091463e-151.29608138099176e-15
0.475-6.68437383221021e-151.79214176111970e-15
0.485-5.57053645730894e-152.60873045914097e-15
0.495-3.90728709466591e-153.96949489813139e-15
0.505-1.44502101466882e-155.70530693648847e-15
0.5151.83353616313188e-157.06559618625651e-15
0.5255.51764777203553e-157.22147692988461e-15
0.5358.93074908296391e-156.04750093502104e-15
0.5451.15646747681456e-144.27907190294042e-15
0.5551.33732005837295e-142.86998337330242e-15
0.5651.46872177484022e-142.31120960633476e-15
0.5751.59179050011276e-142.48057684605056e-15
0.5851.73342224555193e-142.9721221045673e-15
0.5951.90162625361390e-143.45433623329093e-15
0.6052.09081282714664e-143.73636012145826e-15
0.6152.28783639486944e-143.72278649925673e-15
0.6252.47626084742478e-143.38932379828373e-15
0.6352.63987573630141e-142.77805569931027e-15
0.6452.76637461033815e-142.00041389014982e-15
0.6552.85141307404432e-141.23696535328932e-15
0.6652.90127808789518e-146.85081955158184e-16
0.6752.93180859713064e-144.9297616498866e-16
0.6852.9640572431056e-147.16563251303393e-16
0.6953.01736429569643e-141.21815202330417e-15
0.7053.09914428849909e-141.68174962920669e-15
0.7153.19891711982601e-141.83195860641853e-15
0.7253.37740181675224e-146.32867923340106e-15
0.7358.77769614642797e-143.06235784678165e-13
0.7452.56850394423231e-121.32644329111886e-11
0.7558.7201524725443e-114.19206238474976e-10
0.7652.18993813994304e-099.57596132340696e-09
0.7753.99824929113786e-081.56920275001675e-07
0.7855.27773118164488e-071.82896533262989e-06
0.7955.01201988712335e-061.50153821822852e-05
0.8053.41054789781041e-058.58898509965263e-05
0.8150.0001660032636716640.000338287718669557
0.8250.0005795253217749240.00090617112716503
0.8350.001466809298792990.00163096189514728
0.8450.002757631023369350.00195240573192404
0.8550.004025757067872150.00155427048039125
0.8650.004886179063517640.000866449114354236
0.8750.005347098917502320.000435817180035823
0.8850.005627290877224050.000305242730355651
0.8950.005873848725291280.000295655399602977
0.9050.006148530009440610.000333685803748794
0.9150.006459307662171980.000338623833583082
0.9250.006743193649573080.00025787040761628
0.9350.006964493744790960.000190822009608014
0.9450.007227128218655960.000313285379393903
0.9550.007994261256979870.000935435698499383
0.9650.009885940315378690.00171725581001386
0.9750.01329186539028120.00250480474828125
0.9850.02053270316867720.00440131286829836
0.9950.02976433102146640.00283231275524945

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.015 & -0.00747888335612693 & 0.000379086602409551 \tabularnewline
0.025 & -0.00708830140600301 & 9.17802735457149e-05 \tabularnewline
0.035 & -0.00689393215775727 & 0.000163243534483273 \tabularnewline
0.045 & -0.00662859886178275 & 0.000263444217460828 \tabularnewline
0.055 & -0.00625763204717788 & 0.000343085500322439 \tabularnewline
0.065 & -0.00589509994978617 & 0.000302097615279150 \tabularnewline
0.075 & -0.00558718476023414 & 0.000309703409667912 \tabularnewline
0.085 & -0.00520820735378079 & 0.000574697021097277 \tabularnewline
0.095 & -0.00441062571375141 & 0.00137422669947455 \tabularnewline
0.105 & -0.00294970266728121 & 0.00204245647315875 \tabularnewline
0.115 & -0.00137230557726925 & 0.00163887830397965 \tabularnewline
0.125 & -0.000413607496925133 & 0.000723180130169635 \tabularnewline
0.135 & -7.85808487446091e-05 & 0.000181689823110295 \tabularnewline
0.145 & -9.37687055995286e-06 & 2.68479961771328e-05 \tabularnewline
0.155 & -7.08063123221334e-07 & 2.40127939502131e-06 \tabularnewline
0.165 & -3.4253087497303e-08 & 1.33317893448119e-07 \tabularnewline
0.175 & -1.0765983031491e-09 & 4.69848648713458e-09 \tabularnewline
0.185 & -2.23459769539764e-11 & 1.07226407479674e-10 \tabularnewline
0.195 & -3.53736040914409e-13 & 1.61464485813976e-12 \tabularnewline
0.205 & -4.64374555450634e-14 & 1.80207060093203e-14 \tabularnewline
0.215 & -4.19936230760551e-14 & 2.63254357661306e-15 \tabularnewline
0.225 & -4.03998507968025e-14 & 2.4800716683579e-15 \tabularnewline
0.235 & -3.89660686357614e-14 & 2.17460594312595e-15 \tabularnewline
0.245 & -3.7718286987741e-14 & 1.98784524075983e-15 \tabularnewline
0.255 & -3.64440428057358e-14 & 2.422859510513e-15 \tabularnewline
0.265 & -3.47191488095147e-14 & 3.65963972117855e-15 \tabularnewline
0.275 & -3.22244355348536e-14 & 5.09801170856333e-15 \tabularnewline
0.285 & -2.91163079287141e-14 & 5.74891858416766e-15 \tabularnewline
0.295 & -2.59913533303850e-14 & 5.18804227807583e-15 \tabularnewline
0.305 & -2.34192080943465e-14 & 3.91678677868576e-15 \tabularnewline
0.315 & -2.15673215341297e-14 & 2.74320077003455e-15 \tabularnewline
0.325 & -2.02278984924813e-14 & 2.15424251907356e-15 \tabularnewline
0.335 & -1.90467806263776e-14 & 2.22516542192838e-15 \tabularnewline
0.345 & -1.77332369476553e-14 & 2.67192542842225e-15 \tabularnewline
0.355 & -1.62054505859232e-14 & 3.01998904706984e-15 \tabularnewline
0.365 & -1.45962458060941e-14 & 2.98242370010381e-15 \tabularnewline
0.375 & -1.30964257428271e-14 & 2.64085607351286e-15 \tabularnewline
0.385 & -1.18146474560928e-14 & 2.19611902752392e-15 \tabularnewline
0.395 & -1.07845066078523e-14 & 1.71778548139862e-15 \tabularnewline
0.405 & -1.00143727713845e-14 & 1.23408206121517e-15 \tabularnewline
0.415 & -9.47721473392596e-15 & 8.45033830470972e-16 \tabularnewline
0.425 & -9.09735888617757e-15 & 6.34042724344994e-16 \tabularnewline
0.435 & -8.78273238272982e-15 & 5.93933240500549e-16 \tabularnewline
0.445 & -8.4534028048193e-15 & 6.96417437819908e-16 \tabularnewline
0.455 & -8.03773630703889e-15 & 9.37268277274291e-16 \tabularnewline
0.465 & -7.46941755091463e-15 & 1.29608138099176e-15 \tabularnewline
0.475 & -6.68437383221021e-15 & 1.79214176111970e-15 \tabularnewline
0.485 & -5.57053645730894e-15 & 2.60873045914097e-15 \tabularnewline
0.495 & -3.90728709466591e-15 & 3.96949489813139e-15 \tabularnewline
0.505 & -1.44502101466882e-15 & 5.70530693648847e-15 \tabularnewline
0.515 & 1.83353616313188e-15 & 7.06559618625651e-15 \tabularnewline
0.525 & 5.51764777203553e-15 & 7.22147692988461e-15 \tabularnewline
0.535 & 8.93074908296391e-15 & 6.04750093502104e-15 \tabularnewline
0.545 & 1.15646747681456e-14 & 4.27907190294042e-15 \tabularnewline
0.555 & 1.33732005837295e-14 & 2.86998337330242e-15 \tabularnewline
0.565 & 1.46872177484022e-14 & 2.31120960633476e-15 \tabularnewline
0.575 & 1.59179050011276e-14 & 2.48057684605056e-15 \tabularnewline
0.585 & 1.73342224555193e-14 & 2.9721221045673e-15 \tabularnewline
0.595 & 1.90162625361390e-14 & 3.45433623329093e-15 \tabularnewline
0.605 & 2.09081282714664e-14 & 3.73636012145826e-15 \tabularnewline
0.615 & 2.28783639486944e-14 & 3.72278649925673e-15 \tabularnewline
0.625 & 2.47626084742478e-14 & 3.38932379828373e-15 \tabularnewline
0.635 & 2.63987573630141e-14 & 2.77805569931027e-15 \tabularnewline
0.645 & 2.76637461033815e-14 & 2.00041389014982e-15 \tabularnewline
0.655 & 2.85141307404432e-14 & 1.23696535328932e-15 \tabularnewline
0.665 & 2.90127808789518e-14 & 6.85081955158184e-16 \tabularnewline
0.675 & 2.93180859713064e-14 & 4.9297616498866e-16 \tabularnewline
0.685 & 2.9640572431056e-14 & 7.16563251303393e-16 \tabularnewline
0.695 & 3.01736429569643e-14 & 1.21815202330417e-15 \tabularnewline
0.705 & 3.09914428849909e-14 & 1.68174962920669e-15 \tabularnewline
0.715 & 3.19891711982601e-14 & 1.83195860641853e-15 \tabularnewline
0.725 & 3.37740181675224e-14 & 6.32867923340106e-15 \tabularnewline
0.735 & 8.77769614642797e-14 & 3.06235784678165e-13 \tabularnewline
0.745 & 2.56850394423231e-12 & 1.32644329111886e-11 \tabularnewline
0.755 & 8.7201524725443e-11 & 4.19206238474976e-10 \tabularnewline
0.765 & 2.18993813994304e-09 & 9.57596132340696e-09 \tabularnewline
0.775 & 3.99824929113786e-08 & 1.56920275001675e-07 \tabularnewline
0.785 & 5.27773118164488e-07 & 1.82896533262989e-06 \tabularnewline
0.795 & 5.01201988712335e-06 & 1.50153821822852e-05 \tabularnewline
0.805 & 3.41054789781041e-05 & 8.58898509965263e-05 \tabularnewline
0.815 & 0.000166003263671664 & 0.000338287718669557 \tabularnewline
0.825 & 0.000579525321774924 & 0.00090617112716503 \tabularnewline
0.835 & 0.00146680929879299 & 0.00163096189514728 \tabularnewline
0.845 & 0.00275763102336935 & 0.00195240573192404 \tabularnewline
0.855 & 0.00402575706787215 & 0.00155427048039125 \tabularnewline
0.865 & 0.00488617906351764 & 0.000866449114354236 \tabularnewline
0.875 & 0.00534709891750232 & 0.000435817180035823 \tabularnewline
0.885 & 0.00562729087722405 & 0.000305242730355651 \tabularnewline
0.895 & 0.00587384872529128 & 0.000295655399602977 \tabularnewline
0.905 & 0.00614853000944061 & 0.000333685803748794 \tabularnewline
0.915 & 0.00645930766217198 & 0.000338623833583082 \tabularnewline
0.925 & 0.00674319364957308 & 0.00025787040761628 \tabularnewline
0.935 & 0.00696449374479096 & 0.000190822009608014 \tabularnewline
0.945 & 0.00722712821865596 & 0.000313285379393903 \tabularnewline
0.955 & 0.00799426125697987 & 0.000935435698499383 \tabularnewline
0.965 & 0.00988594031537869 & 0.00171725581001386 \tabularnewline
0.975 & 0.0132918653902812 & 0.00250480474828125 \tabularnewline
0.985 & 0.0205327031686772 & 0.00440131286829836 \tabularnewline
0.995 & 0.0297643310214664 & 0.00283231275524945 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92137&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.015[/C][C]-0.00747888335612693[/C][C]0.000379086602409551[/C][/ROW]
[ROW][C]0.025[/C][C]-0.00708830140600301[/C][C]9.17802735457149e-05[/C][/ROW]
[ROW][C]0.035[/C][C]-0.00689393215775727[/C][C]0.000163243534483273[/C][/ROW]
[ROW][C]0.045[/C][C]-0.00662859886178275[/C][C]0.000263444217460828[/C][/ROW]
[ROW][C]0.055[/C][C]-0.00625763204717788[/C][C]0.000343085500322439[/C][/ROW]
[ROW][C]0.065[/C][C]-0.00589509994978617[/C][C]0.000302097615279150[/C][/ROW]
[ROW][C]0.075[/C][C]-0.00558718476023414[/C][C]0.000309703409667912[/C][/ROW]
[ROW][C]0.085[/C][C]-0.00520820735378079[/C][C]0.000574697021097277[/C][/ROW]
[ROW][C]0.095[/C][C]-0.00441062571375141[/C][C]0.00137422669947455[/C][/ROW]
[ROW][C]0.105[/C][C]-0.00294970266728121[/C][C]0.00204245647315875[/C][/ROW]
[ROW][C]0.115[/C][C]-0.00137230557726925[/C][C]0.00163887830397965[/C][/ROW]
[ROW][C]0.125[/C][C]-0.000413607496925133[/C][C]0.000723180130169635[/C][/ROW]
[ROW][C]0.135[/C][C]-7.85808487446091e-05[/C][C]0.000181689823110295[/C][/ROW]
[ROW][C]0.145[/C][C]-9.37687055995286e-06[/C][C]2.68479961771328e-05[/C][/ROW]
[ROW][C]0.155[/C][C]-7.08063123221334e-07[/C][C]2.40127939502131e-06[/C][/ROW]
[ROW][C]0.165[/C][C]-3.4253087497303e-08[/C][C]1.33317893448119e-07[/C][/ROW]
[ROW][C]0.175[/C][C]-1.0765983031491e-09[/C][C]4.69848648713458e-09[/C][/ROW]
[ROW][C]0.185[/C][C]-2.23459769539764e-11[/C][C]1.07226407479674e-10[/C][/ROW]
[ROW][C]0.195[/C][C]-3.53736040914409e-13[/C][C]1.61464485813976e-12[/C][/ROW]
[ROW][C]0.205[/C][C]-4.64374555450634e-14[/C][C]1.80207060093203e-14[/C][/ROW]
[ROW][C]0.215[/C][C]-4.19936230760551e-14[/C][C]2.63254357661306e-15[/C][/ROW]
[ROW][C]0.225[/C][C]-4.03998507968025e-14[/C][C]2.4800716683579e-15[/C][/ROW]
[ROW][C]0.235[/C][C]-3.89660686357614e-14[/C][C]2.17460594312595e-15[/C][/ROW]
[ROW][C]0.245[/C][C]-3.7718286987741e-14[/C][C]1.98784524075983e-15[/C][/ROW]
[ROW][C]0.255[/C][C]-3.64440428057358e-14[/C][C]2.422859510513e-15[/C][/ROW]
[ROW][C]0.265[/C][C]-3.47191488095147e-14[/C][C]3.65963972117855e-15[/C][/ROW]
[ROW][C]0.275[/C][C]-3.22244355348536e-14[/C][C]5.09801170856333e-15[/C][/ROW]
[ROW][C]0.285[/C][C]-2.91163079287141e-14[/C][C]5.74891858416766e-15[/C][/ROW]
[ROW][C]0.295[/C][C]-2.59913533303850e-14[/C][C]5.18804227807583e-15[/C][/ROW]
[ROW][C]0.305[/C][C]-2.34192080943465e-14[/C][C]3.91678677868576e-15[/C][/ROW]
[ROW][C]0.315[/C][C]-2.15673215341297e-14[/C][C]2.74320077003455e-15[/C][/ROW]
[ROW][C]0.325[/C][C]-2.02278984924813e-14[/C][C]2.15424251907356e-15[/C][/ROW]
[ROW][C]0.335[/C][C]-1.90467806263776e-14[/C][C]2.22516542192838e-15[/C][/ROW]
[ROW][C]0.345[/C][C]-1.77332369476553e-14[/C][C]2.67192542842225e-15[/C][/ROW]
[ROW][C]0.355[/C][C]-1.62054505859232e-14[/C][C]3.01998904706984e-15[/C][/ROW]
[ROW][C]0.365[/C][C]-1.45962458060941e-14[/C][C]2.98242370010381e-15[/C][/ROW]
[ROW][C]0.375[/C][C]-1.30964257428271e-14[/C][C]2.64085607351286e-15[/C][/ROW]
[ROW][C]0.385[/C][C]-1.18146474560928e-14[/C][C]2.19611902752392e-15[/C][/ROW]
[ROW][C]0.395[/C][C]-1.07845066078523e-14[/C][C]1.71778548139862e-15[/C][/ROW]
[ROW][C]0.405[/C][C]-1.00143727713845e-14[/C][C]1.23408206121517e-15[/C][/ROW]
[ROW][C]0.415[/C][C]-9.47721473392596e-15[/C][C]8.45033830470972e-16[/C][/ROW]
[ROW][C]0.425[/C][C]-9.09735888617757e-15[/C][C]6.34042724344994e-16[/C][/ROW]
[ROW][C]0.435[/C][C]-8.78273238272982e-15[/C][C]5.93933240500549e-16[/C][/ROW]
[ROW][C]0.445[/C][C]-8.4534028048193e-15[/C][C]6.96417437819908e-16[/C][/ROW]
[ROW][C]0.455[/C][C]-8.03773630703889e-15[/C][C]9.37268277274291e-16[/C][/ROW]
[ROW][C]0.465[/C][C]-7.46941755091463e-15[/C][C]1.29608138099176e-15[/C][/ROW]
[ROW][C]0.475[/C][C]-6.68437383221021e-15[/C][C]1.79214176111970e-15[/C][/ROW]
[ROW][C]0.485[/C][C]-5.57053645730894e-15[/C][C]2.60873045914097e-15[/C][/ROW]
[ROW][C]0.495[/C][C]-3.90728709466591e-15[/C][C]3.96949489813139e-15[/C][/ROW]
[ROW][C]0.505[/C][C]-1.44502101466882e-15[/C][C]5.70530693648847e-15[/C][/ROW]
[ROW][C]0.515[/C][C]1.83353616313188e-15[/C][C]7.06559618625651e-15[/C][/ROW]
[ROW][C]0.525[/C][C]5.51764777203553e-15[/C][C]7.22147692988461e-15[/C][/ROW]
[ROW][C]0.535[/C][C]8.93074908296391e-15[/C][C]6.04750093502104e-15[/C][/ROW]
[ROW][C]0.545[/C][C]1.15646747681456e-14[/C][C]4.27907190294042e-15[/C][/ROW]
[ROW][C]0.555[/C][C]1.33732005837295e-14[/C][C]2.86998337330242e-15[/C][/ROW]
[ROW][C]0.565[/C][C]1.46872177484022e-14[/C][C]2.31120960633476e-15[/C][/ROW]
[ROW][C]0.575[/C][C]1.59179050011276e-14[/C][C]2.48057684605056e-15[/C][/ROW]
[ROW][C]0.585[/C][C]1.73342224555193e-14[/C][C]2.9721221045673e-15[/C][/ROW]
[ROW][C]0.595[/C][C]1.90162625361390e-14[/C][C]3.45433623329093e-15[/C][/ROW]
[ROW][C]0.605[/C][C]2.09081282714664e-14[/C][C]3.73636012145826e-15[/C][/ROW]
[ROW][C]0.615[/C][C]2.28783639486944e-14[/C][C]3.72278649925673e-15[/C][/ROW]
[ROW][C]0.625[/C][C]2.47626084742478e-14[/C][C]3.38932379828373e-15[/C][/ROW]
[ROW][C]0.635[/C][C]2.63987573630141e-14[/C][C]2.77805569931027e-15[/C][/ROW]
[ROW][C]0.645[/C][C]2.76637461033815e-14[/C][C]2.00041389014982e-15[/C][/ROW]
[ROW][C]0.655[/C][C]2.85141307404432e-14[/C][C]1.23696535328932e-15[/C][/ROW]
[ROW][C]0.665[/C][C]2.90127808789518e-14[/C][C]6.85081955158184e-16[/C][/ROW]
[ROW][C]0.675[/C][C]2.93180859713064e-14[/C][C]4.9297616498866e-16[/C][/ROW]
[ROW][C]0.685[/C][C]2.9640572431056e-14[/C][C]7.16563251303393e-16[/C][/ROW]
[ROW][C]0.695[/C][C]3.01736429569643e-14[/C][C]1.21815202330417e-15[/C][/ROW]
[ROW][C]0.705[/C][C]3.09914428849909e-14[/C][C]1.68174962920669e-15[/C][/ROW]
[ROW][C]0.715[/C][C]3.19891711982601e-14[/C][C]1.83195860641853e-15[/C][/ROW]
[ROW][C]0.725[/C][C]3.37740181675224e-14[/C][C]6.32867923340106e-15[/C][/ROW]
[ROW][C]0.735[/C][C]8.77769614642797e-14[/C][C]3.06235784678165e-13[/C][/ROW]
[ROW][C]0.745[/C][C]2.56850394423231e-12[/C][C]1.32644329111886e-11[/C][/ROW]
[ROW][C]0.755[/C][C]8.7201524725443e-11[/C][C]4.19206238474976e-10[/C][/ROW]
[ROW][C]0.765[/C][C]2.18993813994304e-09[/C][C]9.57596132340696e-09[/C][/ROW]
[ROW][C]0.775[/C][C]3.99824929113786e-08[/C][C]1.56920275001675e-07[/C][/ROW]
[ROW][C]0.785[/C][C]5.27773118164488e-07[/C][C]1.82896533262989e-06[/C][/ROW]
[ROW][C]0.795[/C][C]5.01201988712335e-06[/C][C]1.50153821822852e-05[/C][/ROW]
[ROW][C]0.805[/C][C]3.41054789781041e-05[/C][C]8.58898509965263e-05[/C][/ROW]
[ROW][C]0.815[/C][C]0.000166003263671664[/C][C]0.000338287718669557[/C][/ROW]
[ROW][C]0.825[/C][C]0.000579525321774924[/C][C]0.00090617112716503[/C][/ROW]
[ROW][C]0.835[/C][C]0.00146680929879299[/C][C]0.00163096189514728[/C][/ROW]
[ROW][C]0.845[/C][C]0.00275763102336935[/C][C]0.00195240573192404[/C][/ROW]
[ROW][C]0.855[/C][C]0.00402575706787215[/C][C]0.00155427048039125[/C][/ROW]
[ROW][C]0.865[/C][C]0.00488617906351764[/C][C]0.000866449114354236[/C][/ROW]
[ROW][C]0.875[/C][C]0.00534709891750232[/C][C]0.000435817180035823[/C][/ROW]
[ROW][C]0.885[/C][C]0.00562729087722405[/C][C]0.000305242730355651[/C][/ROW]
[ROW][C]0.895[/C][C]0.00587384872529128[/C][C]0.000295655399602977[/C][/ROW]
[ROW][C]0.905[/C][C]0.00614853000944061[/C][C]0.000333685803748794[/C][/ROW]
[ROW][C]0.915[/C][C]0.00645930766217198[/C][C]0.000338623833583082[/C][/ROW]
[ROW][C]0.925[/C][C]0.00674319364957308[/C][C]0.00025787040761628[/C][/ROW]
[ROW][C]0.935[/C][C]0.00696449374479096[/C][C]0.000190822009608014[/C][/ROW]
[ROW][C]0.945[/C][C]0.00722712821865596[/C][C]0.000313285379393903[/C][/ROW]
[ROW][C]0.955[/C][C]0.00799426125697987[/C][C]0.000935435698499383[/C][/ROW]
[ROW][C]0.965[/C][C]0.00988594031537869[/C][C]0.00171725581001386[/C][/ROW]
[ROW][C]0.975[/C][C]0.0132918653902812[/C][C]0.00250480474828125[/C][/ROW]
[ROW][C]0.985[/C][C]0.0205327031686772[/C][C]0.00440131286829836[/C][/ROW]
[ROW][C]0.995[/C][C]0.0297643310214664[/C][C]0.00283231275524945[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92137&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
0.015-0.007478883356126930.000379086602409551
0.025-0.007088301406003019.17802735457149e-05
0.035-0.006893932157757270.000163243534483273
0.045-0.006628598861782750.000263444217460828
0.055-0.006257632047177880.000343085500322439
0.065-0.005895099949786170.000302097615279150
0.075-0.005587184760234140.000309703409667912
0.085-0.005208207353780790.000574697021097277
0.095-0.004410625713751410.00137422669947455
0.105-0.002949702667281210.00204245647315875
0.115-0.001372305577269250.00163887830397965
0.125-0.0004136074969251330.000723180130169635
0.135-7.85808487446091e-050.000181689823110295
0.145-9.37687055995286e-062.68479961771328e-05
0.155-7.08063123221334e-072.40127939502131e-06
0.165-3.4253087497303e-081.33317893448119e-07
0.175-1.0765983031491e-094.69848648713458e-09
0.185-2.23459769539764e-111.07226407479674e-10
0.195-3.53736040914409e-131.61464485813976e-12
0.205-4.64374555450634e-141.80207060093203e-14
0.215-4.19936230760551e-142.63254357661306e-15
0.225-4.03998507968025e-142.4800716683579e-15
0.235-3.89660686357614e-142.17460594312595e-15
0.245-3.7718286987741e-141.98784524075983e-15
0.255-3.64440428057358e-142.422859510513e-15
0.265-3.47191488095147e-143.65963972117855e-15
0.275-3.22244355348536e-145.09801170856333e-15
0.285-2.91163079287141e-145.74891858416766e-15
0.295-2.59913533303850e-145.18804227807583e-15
0.305-2.34192080943465e-143.91678677868576e-15
0.315-2.15673215341297e-142.74320077003455e-15
0.325-2.02278984924813e-142.15424251907356e-15
0.335-1.90467806263776e-142.22516542192838e-15
0.345-1.77332369476553e-142.67192542842225e-15
0.355-1.62054505859232e-143.01998904706984e-15
0.365-1.45962458060941e-142.98242370010381e-15
0.375-1.30964257428271e-142.64085607351286e-15
0.385-1.18146474560928e-142.19611902752392e-15
0.395-1.07845066078523e-141.71778548139862e-15
0.405-1.00143727713845e-141.23408206121517e-15
0.415-9.47721473392596e-158.45033830470972e-16
0.425-9.09735888617757e-156.34042724344994e-16
0.435-8.78273238272982e-155.93933240500549e-16
0.445-8.4534028048193e-156.96417437819908e-16
0.455-8.03773630703889e-159.37268277274291e-16
0.465-7.46941755091463e-151.29608138099176e-15
0.475-6.68437383221021e-151.79214176111970e-15
0.485-5.57053645730894e-152.60873045914097e-15
0.495-3.90728709466591e-153.96949489813139e-15
0.505-1.44502101466882e-155.70530693648847e-15
0.5151.83353616313188e-157.06559618625651e-15
0.5255.51764777203553e-157.22147692988461e-15
0.5358.93074908296391e-156.04750093502104e-15
0.5451.15646747681456e-144.27907190294042e-15
0.5551.33732005837295e-142.86998337330242e-15
0.5651.46872177484022e-142.31120960633476e-15
0.5751.59179050011276e-142.48057684605056e-15
0.5851.73342224555193e-142.9721221045673e-15
0.5951.90162625361390e-143.45433623329093e-15
0.6052.09081282714664e-143.73636012145826e-15
0.6152.28783639486944e-143.72278649925673e-15
0.6252.47626084742478e-143.38932379828373e-15
0.6352.63987573630141e-142.77805569931027e-15
0.6452.76637461033815e-142.00041389014982e-15
0.6552.85141307404432e-141.23696535328932e-15
0.6652.90127808789518e-146.85081955158184e-16
0.6752.93180859713064e-144.9297616498866e-16
0.6852.9640572431056e-147.16563251303393e-16
0.6953.01736429569643e-141.21815202330417e-15
0.7053.09914428849909e-141.68174962920669e-15
0.7153.19891711982601e-141.83195860641853e-15
0.7253.37740181675224e-146.32867923340106e-15
0.7358.77769614642797e-143.06235784678165e-13
0.7452.56850394423231e-121.32644329111886e-11
0.7558.7201524725443e-114.19206238474976e-10
0.7652.18993813994304e-099.57596132340696e-09
0.7753.99824929113786e-081.56920275001675e-07
0.7855.27773118164488e-071.82896533262989e-06
0.7955.01201988712335e-061.50153821822852e-05
0.8053.41054789781041e-058.58898509965263e-05
0.8150.0001660032636716640.000338287718669557
0.8250.0005795253217749240.00090617112716503
0.8350.001466809298792990.00163096189514728
0.8450.002757631023369350.00195240573192404
0.8550.004025757067872150.00155427048039125
0.8650.004886179063517640.000866449114354236
0.8750.005347098917502320.000435817180035823
0.8850.005627290877224050.000305242730355651
0.8950.005873848725291280.000295655399602977
0.9050.006148530009440610.000333685803748794
0.9150.006459307662171980.000338623833583082
0.9250.006743193649573080.00025787040761628
0.9350.006964493744790960.000190822009608014
0.9450.007227128218655960.000313285379393903
0.9550.007994261256979870.000935435698499383
0.9650.009885940315378690.00171725581001386
0.9750.01329186539028120.00250480474828125
0.9850.02053270316867720.00440131286829836
0.9950.02976433102146640.00283231275524945


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.015 ; par2 = 0.995 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.015 ; par2 = 0.995 ; 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')