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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 computationFri, 19 Nov 2010 13:23:50 +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/19/t1290172933310r39lhnc7vffy.htm/, Retrieved Sun, 19 May 2024 06:59:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97968, Retrieved Sun, 19 May 2024 06:59:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [GRB] [2010-11-19 13:23:50] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time18 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 18 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97968&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]18 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97968&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97968&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 time18 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.1336520296555270.126307687410895
0.02-0.01657853995335040.00567889885664063
0.03-0.01252070980214390.000102999865895111
0.04-0.0124249971552966.56273182939754e-05
0.05-0.01232468671681990.000190441907356222
0.06-0.01210876008105420.000357616946783709
0.07-0.01178878782758660.000471885567896098
0.08-0.01138481472009360.00066817132504354
0.09-0.01080433621259370.00110732067662689
0.1-0.009945695433557360.00159372072962713
0.11-0.008875182927744060.00181738879660164
0.12-0.007759988419684890.00182428488584986
0.13-0.006648950009206750.00196170292096904
0.14-0.00544340406495290.00233539635208021
0.15-0.004088850762010080.0026280228704684
0.16-0.002712637177564770.00249165205393304
0.17-0.001545937359932650.00190982988180421
0.18-0.0007436238690670230.00117187415102943
0.19-0.0002988845955015610.000576083803402289
0.2-9.9882794341299e-050.000227879476629649
0.21-2.7707911340317e-057.29386648659097e-05
0.22-6.38317316824253e-061.90015816387798e-05
0.23-1.22329621771700e-064.05235846845247e-06
0.24-1.95500822242392e-077.113864506046e-07
0.25-2.61286380855293e-081.03331180490706e-07
0.26-2.92916014165827e-091.24789920101676e-08
0.27-2.76295375688551e-101.25861351088016e-09
0.28-2.20091535944556e-111.06457514572183e-10
0.29-1.49855903874525e-127.5833943339741e-12
0.3-9.95908943199595e-144.59933730876284e-13
0.31-1.64325199201025e-142.7986021113268e-14
0.32-9.73895007882742e-157.46239769971352e-15
0.33-6.91348898576292e-156.26026150883051e-15
0.34-4.61706886652055e-155.03477524992259e-15
0.35-2.88619540742101e-153.54703380971471e-15
0.36-1.73969375939221e-152.19018239715102e-15
0.37-1.06850287899433e-151.20236419585815e-15
0.38-7.115892321942e-166.16578270207768e-16
0.39-5.19440947275624e-163.64088266111993e-16
0.4-3.72716390614463e-163.94984066974408e-16
0.41-1.68617664381649e-166.95081725342925e-16
0.421.97874508847614e-161.27537802631439e-15
0.438.36777198622183e-162.13298229992508e-15
0.441.84302054603158e-153.18629791879186e-15
0.453.26248454150816e-154.26230319892674e-15
0.465.06367485333099e-155.14076958149674e-15
0.477.13244019875304e-155.62712050772059e-15
0.489.2940422022509e-155.61392488263826e-15
0.491.13540331062418e-145.11018712724262e-15
0.51.31445709709387e-144.23828576282567e-15
0.511.45634170614464e-143.20216403900274e-15
0.521.55947084870836e-142.23048369171695e-15
0.531.63052641521552e-141.51445264255108e-15
0.541.68188187380505e-141.17007965096712e-15
0.551.72780081439258e-141.21245733997327e-15
0.561.78054600883506e-141.52864140866662e-15
0.571.84737880847571e-141.94318092924443e-15
0.581.92934022327591e-142.29515418275027e-15
0.592.02230154346332e-142.48512883670173e-15
0.62.11963259158034e-142.49410975541595e-15
0.612.21478586934285e-142.35493172345136e-15
0.622.30253232515111e-142.10786857618028e-15
0.632.37929531794034e-141.79336386164813e-15
0.642.4439724067842e-141.48310691436078e-15
0.652.49955119098247e-141.30044690449318e-15
0.662.55398130792829e-141.38098980075858e-15
0.672.61836806033667e-141.75989361238317e-15
0.682.70231050577546e-142.31188195958041e-15
0.692.80882814226246e-142.82059695033955e-15
0.72.93283192230386e-143.10693795660321e-15
0.713.07406083836297e-143.52895208094639e-15
0.723.51439898664375e-141.9742666628061e-14
0.731.09485649860048e-133.98787437863231e-13
0.741.53824723857901e-127.42489962366875e-12
0.752.48681637013799e-111.15900431706238e-10
0.763.42967559725870e-101.50469710293243e-09
0.773.94624418890685e-091.61645309417267e-08
0.783.76894125807897e-081.42919636546251e-07
0.792.97561543559699e-071.03402360822409e-06
0.81.93444748082231e-066.084333197586e-06
0.811.03185561835293e-052.89298021912837e-05
0.824.50336830237547e-050.000110424756813369
0.830.0001605624123803100.000336172346874113
0.840.0004679428255017890.000811499942615892
0.850.001119261435325610.00154696097239737
0.860.002218172111150350.0023306490611264
0.870.003708408373358670.00281358348771246
0.880.005383968512015790.00284333184855325
0.890.007047135930851620.00261302565746932
0.90.008597526570509240.00230296780956505
0.910.009935002691653960.00181932699751205
0.920.01093358513609810.00119157968732405
0.930.01159260289344710.000713995902536072
0.940.01202808577740380.000452831537281617
0.950.01229684773533620.000235160324664333
0.960.01243297406315619.7163757887328e-05
0.970.01309941206042520.00109100440495177
0.980.02574567380550360.0170451557931289
0.990.1425311870051350.100620258211272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.133652029655527 & 0.126307687410895 \tabularnewline
0.02 & -0.0165785399533504 & 0.00567889885664063 \tabularnewline
0.03 & -0.0125207098021439 & 0.000102999865895111 \tabularnewline
0.04 & -0.012424997155296 & 6.56273182939754e-05 \tabularnewline
0.05 & -0.0123246867168199 & 0.000190441907356222 \tabularnewline
0.06 & -0.0121087600810542 & 0.000357616946783709 \tabularnewline
0.07 & -0.0117887878275866 & 0.000471885567896098 \tabularnewline
0.08 & -0.0113848147200936 & 0.00066817132504354 \tabularnewline
0.09 & -0.0108043362125937 & 0.00110732067662689 \tabularnewline
0.1 & -0.00994569543355736 & 0.00159372072962713 \tabularnewline
0.11 & -0.00887518292774406 & 0.00181738879660164 \tabularnewline
0.12 & -0.00775998841968489 & 0.00182428488584986 \tabularnewline
0.13 & -0.00664895000920675 & 0.00196170292096904 \tabularnewline
0.14 & -0.0054434040649529 & 0.00233539635208021 \tabularnewline
0.15 & -0.00408885076201008 & 0.0026280228704684 \tabularnewline
0.16 & -0.00271263717756477 & 0.00249165205393304 \tabularnewline
0.17 & -0.00154593735993265 & 0.00190982988180421 \tabularnewline
0.18 & -0.000743623869067023 & 0.00117187415102943 \tabularnewline
0.19 & -0.000298884595501561 & 0.000576083803402289 \tabularnewline
0.2 & -9.9882794341299e-05 & 0.000227879476629649 \tabularnewline
0.21 & -2.7707911340317e-05 & 7.29386648659097e-05 \tabularnewline
0.22 & -6.38317316824253e-06 & 1.90015816387798e-05 \tabularnewline
0.23 & -1.22329621771700e-06 & 4.05235846845247e-06 \tabularnewline
0.24 & -1.95500822242392e-07 & 7.113864506046e-07 \tabularnewline
0.25 & -2.61286380855293e-08 & 1.03331180490706e-07 \tabularnewline
0.26 & -2.92916014165827e-09 & 1.24789920101676e-08 \tabularnewline
0.27 & -2.76295375688551e-10 & 1.25861351088016e-09 \tabularnewline
0.28 & -2.20091535944556e-11 & 1.06457514572183e-10 \tabularnewline
0.29 & -1.49855903874525e-12 & 7.5833943339741e-12 \tabularnewline
0.3 & -9.95908943199595e-14 & 4.59933730876284e-13 \tabularnewline
0.31 & -1.64325199201025e-14 & 2.7986021113268e-14 \tabularnewline
0.32 & -9.73895007882742e-15 & 7.46239769971352e-15 \tabularnewline
0.33 & -6.91348898576292e-15 & 6.26026150883051e-15 \tabularnewline
0.34 & -4.61706886652055e-15 & 5.03477524992259e-15 \tabularnewline
0.35 & -2.88619540742101e-15 & 3.54703380971471e-15 \tabularnewline
0.36 & -1.73969375939221e-15 & 2.19018239715102e-15 \tabularnewline
0.37 & -1.06850287899433e-15 & 1.20236419585815e-15 \tabularnewline
0.38 & -7.115892321942e-16 & 6.16578270207768e-16 \tabularnewline
0.39 & -5.19440947275624e-16 & 3.64088266111993e-16 \tabularnewline
0.4 & -3.72716390614463e-16 & 3.94984066974408e-16 \tabularnewline
0.41 & -1.68617664381649e-16 & 6.95081725342925e-16 \tabularnewline
0.42 & 1.97874508847614e-16 & 1.27537802631439e-15 \tabularnewline
0.43 & 8.36777198622183e-16 & 2.13298229992508e-15 \tabularnewline
0.44 & 1.84302054603158e-15 & 3.18629791879186e-15 \tabularnewline
0.45 & 3.26248454150816e-15 & 4.26230319892674e-15 \tabularnewline
0.46 & 5.06367485333099e-15 & 5.14076958149674e-15 \tabularnewline
0.47 & 7.13244019875304e-15 & 5.62712050772059e-15 \tabularnewline
0.48 & 9.2940422022509e-15 & 5.61392488263826e-15 \tabularnewline
0.49 & 1.13540331062418e-14 & 5.11018712724262e-15 \tabularnewline
0.5 & 1.31445709709387e-14 & 4.23828576282567e-15 \tabularnewline
0.51 & 1.45634170614464e-14 & 3.20216403900274e-15 \tabularnewline
0.52 & 1.55947084870836e-14 & 2.23048369171695e-15 \tabularnewline
0.53 & 1.63052641521552e-14 & 1.51445264255108e-15 \tabularnewline
0.54 & 1.68188187380505e-14 & 1.17007965096712e-15 \tabularnewline
0.55 & 1.72780081439258e-14 & 1.21245733997327e-15 \tabularnewline
0.56 & 1.78054600883506e-14 & 1.52864140866662e-15 \tabularnewline
0.57 & 1.84737880847571e-14 & 1.94318092924443e-15 \tabularnewline
0.58 & 1.92934022327591e-14 & 2.29515418275027e-15 \tabularnewline
0.59 & 2.02230154346332e-14 & 2.48512883670173e-15 \tabularnewline
0.6 & 2.11963259158034e-14 & 2.49410975541595e-15 \tabularnewline
0.61 & 2.21478586934285e-14 & 2.35493172345136e-15 \tabularnewline
0.62 & 2.30253232515111e-14 & 2.10786857618028e-15 \tabularnewline
0.63 & 2.37929531794034e-14 & 1.79336386164813e-15 \tabularnewline
0.64 & 2.4439724067842e-14 & 1.48310691436078e-15 \tabularnewline
0.65 & 2.49955119098247e-14 & 1.30044690449318e-15 \tabularnewline
0.66 & 2.55398130792829e-14 & 1.38098980075858e-15 \tabularnewline
0.67 & 2.61836806033667e-14 & 1.75989361238317e-15 \tabularnewline
0.68 & 2.70231050577546e-14 & 2.31188195958041e-15 \tabularnewline
0.69 & 2.80882814226246e-14 & 2.82059695033955e-15 \tabularnewline
0.7 & 2.93283192230386e-14 & 3.10693795660321e-15 \tabularnewline
0.71 & 3.07406083836297e-14 & 3.52895208094639e-15 \tabularnewline
0.72 & 3.51439898664375e-14 & 1.9742666628061e-14 \tabularnewline
0.73 & 1.09485649860048e-13 & 3.98787437863231e-13 \tabularnewline
0.74 & 1.53824723857901e-12 & 7.42489962366875e-12 \tabularnewline
0.75 & 2.48681637013799e-11 & 1.15900431706238e-10 \tabularnewline
0.76 & 3.42967559725870e-10 & 1.50469710293243e-09 \tabularnewline
0.77 & 3.94624418890685e-09 & 1.61645309417267e-08 \tabularnewline
0.78 & 3.76894125807897e-08 & 1.42919636546251e-07 \tabularnewline
0.79 & 2.97561543559699e-07 & 1.03402360822409e-06 \tabularnewline
0.8 & 1.93444748082231e-06 & 6.084333197586e-06 \tabularnewline
0.81 & 1.03185561835293e-05 & 2.89298021912837e-05 \tabularnewline
0.82 & 4.50336830237547e-05 & 0.000110424756813369 \tabularnewline
0.83 & 0.000160562412380310 & 0.000336172346874113 \tabularnewline
0.84 & 0.000467942825501789 & 0.000811499942615892 \tabularnewline
0.85 & 0.00111926143532561 & 0.00154696097239737 \tabularnewline
0.86 & 0.00221817211115035 & 0.0023306490611264 \tabularnewline
0.87 & 0.00370840837335867 & 0.00281358348771246 \tabularnewline
0.88 & 0.00538396851201579 & 0.00284333184855325 \tabularnewline
0.89 & 0.00704713593085162 & 0.00261302565746932 \tabularnewline
0.9 & 0.00859752657050924 & 0.00230296780956505 \tabularnewline
0.91 & 0.00993500269165396 & 0.00181932699751205 \tabularnewline
0.92 & 0.0109335851360981 & 0.00119157968732405 \tabularnewline
0.93 & 0.0115926028934471 & 0.000713995902536072 \tabularnewline
0.94 & 0.0120280857774038 & 0.000452831537281617 \tabularnewline
0.95 & 0.0122968477353362 & 0.000235160324664333 \tabularnewline
0.96 & 0.0124329740631561 & 9.7163757887328e-05 \tabularnewline
0.97 & 0.0130994120604252 & 0.00109100440495177 \tabularnewline
0.98 & 0.0257456738055036 & 0.0170451557931289 \tabularnewline
0.99 & 0.142531187005135 & 0.100620258211272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97968&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]-0.133652029655527[/C][C]0.126307687410895[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0165785399533504[/C][C]0.00567889885664063[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0125207098021439[/C][C]0.000102999865895111[/C][/ROW]
[ROW][C]0.04[/C][C]-0.012424997155296[/C][C]6.56273182939754e-05[/C][/ROW]
[ROW][C]0.05[/C][C]-0.0123246867168199[/C][C]0.000190441907356222[/C][/ROW]
[ROW][C]0.06[/C][C]-0.0121087600810542[/C][C]0.000357616946783709[/C][/ROW]
[ROW][C]0.07[/C][C]-0.0117887878275866[/C][C]0.000471885567896098[/C][/ROW]
[ROW][C]0.08[/C][C]-0.0113848147200936[/C][C]0.00066817132504354[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0108043362125937[/C][C]0.00110732067662689[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00994569543355736[/C][C]0.00159372072962713[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00887518292774406[/C][C]0.00181738879660164[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00775998841968489[/C][C]0.00182428488584986[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00664895000920675[/C][C]0.00196170292096904[/C][/ROW]
[ROW][C]0.14[/C][C]-0.0054434040649529[/C][C]0.00233539635208021[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00408885076201008[/C][C]0.0026280228704684[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00271263717756477[/C][C]0.00249165205393304[/C][/ROW]
[ROW][C]0.17[/C][C]-0.00154593735993265[/C][C]0.00190982988180421[/C][/ROW]
[ROW][C]0.18[/C][C]-0.000743623869067023[/C][C]0.00117187415102943[/C][/ROW]
[ROW][C]0.19[/C][C]-0.000298884595501561[/C][C]0.000576083803402289[/C][/ROW]
[ROW][C]0.2[/C][C]-9.9882794341299e-05[/C][C]0.000227879476629649[/C][/ROW]
[ROW][C]0.21[/C][C]-2.7707911340317e-05[/C][C]7.29386648659097e-05[/C][/ROW]
[ROW][C]0.22[/C][C]-6.38317316824253e-06[/C][C]1.90015816387798e-05[/C][/ROW]
[ROW][C]0.23[/C][C]-1.22329621771700e-06[/C][C]4.05235846845247e-06[/C][/ROW]
[ROW][C]0.24[/C][C]-1.95500822242392e-07[/C][C]7.113864506046e-07[/C][/ROW]
[ROW][C]0.25[/C][C]-2.61286380855293e-08[/C][C]1.03331180490706e-07[/C][/ROW]
[ROW][C]0.26[/C][C]-2.92916014165827e-09[/C][C]1.24789920101676e-08[/C][/ROW]
[ROW][C]0.27[/C][C]-2.76295375688551e-10[/C][C]1.25861351088016e-09[/C][/ROW]
[ROW][C]0.28[/C][C]-2.20091535944556e-11[/C][C]1.06457514572183e-10[/C][/ROW]
[ROW][C]0.29[/C][C]-1.49855903874525e-12[/C][C]7.5833943339741e-12[/C][/ROW]
[ROW][C]0.3[/C][C]-9.95908943199595e-14[/C][C]4.59933730876284e-13[/C][/ROW]
[ROW][C]0.31[/C][C]-1.64325199201025e-14[/C][C]2.7986021113268e-14[/C][/ROW]
[ROW][C]0.32[/C][C]-9.73895007882742e-15[/C][C]7.46239769971352e-15[/C][/ROW]
[ROW][C]0.33[/C][C]-6.91348898576292e-15[/C][C]6.26026150883051e-15[/C][/ROW]
[ROW][C]0.34[/C][C]-4.61706886652055e-15[/C][C]5.03477524992259e-15[/C][/ROW]
[ROW][C]0.35[/C][C]-2.88619540742101e-15[/C][C]3.54703380971471e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-1.73969375939221e-15[/C][C]2.19018239715102e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-1.06850287899433e-15[/C][C]1.20236419585815e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-7.115892321942e-16[/C][C]6.16578270207768e-16[/C][/ROW]
[ROW][C]0.39[/C][C]-5.19440947275624e-16[/C][C]3.64088266111993e-16[/C][/ROW]
[ROW][C]0.4[/C][C]-3.72716390614463e-16[/C][C]3.94984066974408e-16[/C][/ROW]
[ROW][C]0.41[/C][C]-1.68617664381649e-16[/C][C]6.95081725342925e-16[/C][/ROW]
[ROW][C]0.42[/C][C]1.97874508847614e-16[/C][C]1.27537802631439e-15[/C][/ROW]
[ROW][C]0.43[/C][C]8.36777198622183e-16[/C][C]2.13298229992508e-15[/C][/ROW]
[ROW][C]0.44[/C][C]1.84302054603158e-15[/C][C]3.18629791879186e-15[/C][/ROW]
[ROW][C]0.45[/C][C]3.26248454150816e-15[/C][C]4.26230319892674e-15[/C][/ROW]
[ROW][C]0.46[/C][C]5.06367485333099e-15[/C][C]5.14076958149674e-15[/C][/ROW]
[ROW][C]0.47[/C][C]7.13244019875304e-15[/C][C]5.62712050772059e-15[/C][/ROW]
[ROW][C]0.48[/C][C]9.2940422022509e-15[/C][C]5.61392488263826e-15[/C][/ROW]
[ROW][C]0.49[/C][C]1.13540331062418e-14[/C][C]5.11018712724262e-15[/C][/ROW]
[ROW][C]0.5[/C][C]1.31445709709387e-14[/C][C]4.23828576282567e-15[/C][/ROW]
[ROW][C]0.51[/C][C]1.45634170614464e-14[/C][C]3.20216403900274e-15[/C][/ROW]
[ROW][C]0.52[/C][C]1.55947084870836e-14[/C][C]2.23048369171695e-15[/C][/ROW]
[ROW][C]0.53[/C][C]1.63052641521552e-14[/C][C]1.51445264255108e-15[/C][/ROW]
[ROW][C]0.54[/C][C]1.68188187380505e-14[/C][C]1.17007965096712e-15[/C][/ROW]
[ROW][C]0.55[/C][C]1.72780081439258e-14[/C][C]1.21245733997327e-15[/C][/ROW]
[ROW][C]0.56[/C][C]1.78054600883506e-14[/C][C]1.52864140866662e-15[/C][/ROW]
[ROW][C]0.57[/C][C]1.84737880847571e-14[/C][C]1.94318092924443e-15[/C][/ROW]
[ROW][C]0.58[/C][C]1.92934022327591e-14[/C][C]2.29515418275027e-15[/C][/ROW]
[ROW][C]0.59[/C][C]2.02230154346332e-14[/C][C]2.48512883670173e-15[/C][/ROW]
[ROW][C]0.6[/C][C]2.11963259158034e-14[/C][C]2.49410975541595e-15[/C][/ROW]
[ROW][C]0.61[/C][C]2.21478586934285e-14[/C][C]2.35493172345136e-15[/C][/ROW]
[ROW][C]0.62[/C][C]2.30253232515111e-14[/C][C]2.10786857618028e-15[/C][/ROW]
[ROW][C]0.63[/C][C]2.37929531794034e-14[/C][C]1.79336386164813e-15[/C][/ROW]
[ROW][C]0.64[/C][C]2.4439724067842e-14[/C][C]1.48310691436078e-15[/C][/ROW]
[ROW][C]0.65[/C][C]2.49955119098247e-14[/C][C]1.30044690449318e-15[/C][/ROW]
[ROW][C]0.66[/C][C]2.55398130792829e-14[/C][C]1.38098980075858e-15[/C][/ROW]
[ROW][C]0.67[/C][C]2.61836806033667e-14[/C][C]1.75989361238317e-15[/C][/ROW]
[ROW][C]0.68[/C][C]2.70231050577546e-14[/C][C]2.31188195958041e-15[/C][/ROW]
[ROW][C]0.69[/C][C]2.80882814226246e-14[/C][C]2.82059695033955e-15[/C][/ROW]
[ROW][C]0.7[/C][C]2.93283192230386e-14[/C][C]3.10693795660321e-15[/C][/ROW]
[ROW][C]0.71[/C][C]3.07406083836297e-14[/C][C]3.52895208094639e-15[/C][/ROW]
[ROW][C]0.72[/C][C]3.51439898664375e-14[/C][C]1.9742666628061e-14[/C][/ROW]
[ROW][C]0.73[/C][C]1.09485649860048e-13[/C][C]3.98787437863231e-13[/C][/ROW]
[ROW][C]0.74[/C][C]1.53824723857901e-12[/C][C]7.42489962366875e-12[/C][/ROW]
[ROW][C]0.75[/C][C]2.48681637013799e-11[/C][C]1.15900431706238e-10[/C][/ROW]
[ROW][C]0.76[/C][C]3.42967559725870e-10[/C][C]1.50469710293243e-09[/C][/ROW]
[ROW][C]0.77[/C][C]3.94624418890685e-09[/C][C]1.61645309417267e-08[/C][/ROW]
[ROW][C]0.78[/C][C]3.76894125807897e-08[/C][C]1.42919636546251e-07[/C][/ROW]
[ROW][C]0.79[/C][C]2.97561543559699e-07[/C][C]1.03402360822409e-06[/C][/ROW]
[ROW][C]0.8[/C][C]1.93444748082231e-06[/C][C]6.084333197586e-06[/C][/ROW]
[ROW][C]0.81[/C][C]1.03185561835293e-05[/C][C]2.89298021912837e-05[/C][/ROW]
[ROW][C]0.82[/C][C]4.50336830237547e-05[/C][C]0.000110424756813369[/C][/ROW]
[ROW][C]0.83[/C][C]0.000160562412380310[/C][C]0.000336172346874113[/C][/ROW]
[ROW][C]0.84[/C][C]0.000467942825501789[/C][C]0.000811499942615892[/C][/ROW]
[ROW][C]0.85[/C][C]0.00111926143532561[/C][C]0.00154696097239737[/C][/ROW]
[ROW][C]0.86[/C][C]0.00221817211115035[/C][C]0.0023306490611264[/C][/ROW]
[ROW][C]0.87[/C][C]0.00370840837335867[/C][C]0.00281358348771246[/C][/ROW]
[ROW][C]0.88[/C][C]0.00538396851201579[/C][C]0.00284333184855325[/C][/ROW]
[ROW][C]0.89[/C][C]0.00704713593085162[/C][C]0.00261302565746932[/C][/ROW]
[ROW][C]0.9[/C][C]0.00859752657050924[/C][C]0.00230296780956505[/C][/ROW]
[ROW][C]0.91[/C][C]0.00993500269165396[/C][C]0.00181932699751205[/C][/ROW]
[ROW][C]0.92[/C][C]0.0109335851360981[/C][C]0.00119157968732405[/C][/ROW]
[ROW][C]0.93[/C][C]0.0115926028934471[/C][C]0.000713995902536072[/C][/ROW]
[ROW][C]0.94[/C][C]0.0120280857774038[/C][C]0.000452831537281617[/C][/ROW]
[ROW][C]0.95[/C][C]0.0122968477353362[/C][C]0.000235160324664333[/C][/ROW]
[ROW][C]0.96[/C][C]0.0124329740631561[/C][C]9.7163757887328e-05[/C][/ROW]
[ROW][C]0.97[/C][C]0.0130994120604252[/C][C]0.00109100440495177[/C][/ROW]
[ROW][C]0.98[/C][C]0.0257456738055036[/C][C]0.0170451557931289[/C][/ROW]
[ROW][C]0.99[/C][C]0.142531187005135[/C][C]0.100620258211272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97968&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97968&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
0.01-0.1336520296555270.126307687410895
0.02-0.01657853995335040.00567889885664063
0.03-0.01252070980214390.000102999865895111
0.04-0.0124249971552966.56273182939754e-05
0.05-0.01232468671681990.000190441907356222
0.06-0.01210876008105420.000357616946783709
0.07-0.01178878782758660.000471885567896098
0.08-0.01138481472009360.00066817132504354
0.09-0.01080433621259370.00110732067662689
0.1-0.009945695433557360.00159372072962713
0.11-0.008875182927744060.00181738879660164
0.12-0.007759988419684890.00182428488584986
0.13-0.006648950009206750.00196170292096904
0.14-0.00544340406495290.00233539635208021
0.15-0.004088850762010080.0026280228704684
0.16-0.002712637177564770.00249165205393304
0.17-0.001545937359932650.00190982988180421
0.18-0.0007436238690670230.00117187415102943
0.19-0.0002988845955015610.000576083803402289
0.2-9.9882794341299e-050.000227879476629649
0.21-2.7707911340317e-057.29386648659097e-05
0.22-6.38317316824253e-061.90015816387798e-05
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0.990.1425311870051350.100620258211272


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')