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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 13:35:22 +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/t1290173652sq63ndzwkkbe7dv.htm/, Retrieved Fri, 03 May 2024 16:42:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97978, Retrieved Fri, 03 May 2024 16:42:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

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] [HAR] [2010-11-19 13:35:22] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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3.1086244689504E-15

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97978&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97978&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.03062952220555240.0179505837323756
0.02-0.01060564981732640.00400402844117514
0.03-0.00666782232383460.00162469037201751
0.04-0.005351942833360820.00074343972269176
0.05-0.004770738022629340.000458978110293456
0.06-0.004449951039871050.000282115229036101
0.07-0.004255313918080940.000233447778502105
0.08-0.004050996617326920.000420532547814785
0.09-0.003701100121032510.000771314873544954
0.1-0.00315406774212960.00109970398139605
0.11-0.002478035815663810.00122618777855023
0.12-0.001804557158171250.00112488853000440
0.13-0.001233115273080840.000913529184472759
0.14-0.0007921438658603150.000703087858640664
0.15-0.0004697725196882610.00051577747615106
0.16-0.0002496183000145120.000341897161456139
0.17-0.0001156314643031850.000194278159558779
0.18-4.58597042910493e-059.20807258153691e-05
0.19-1.54277412108298e-053.60836220138847e-05
0.2-4.38753646931068e-061.16941780665876e-05
0.21-1.05487333552211e-063.14684946059577e-06
0.22-2.14801217446809e-077.06795149828607e-07
0.23-3.71455943315901e-081.33221177084382e-07
0.24-5.47210472772029e-092.11824647109180e-08
0.25-6.88936029710346e-102.85502952550592e-09
0.26-7.4382756740328e-113.27658450409339e-10
0.27-6.92802044418503e-123.21528656121906e-11
0.28-5.7769395772572e-132.71005301272646e-12
0.29-6.1973047361815e-141.98826109551353e-13
0.3-2.46504270790938e-141.4652554960277e-14
0.31-2.12647570582397e-143.38014083623203e-15
0.32-2.00692827684684e-142.68042532137460e-15
0.33-1.90966890207472e-142.38702939652945e-15
0.34-1.82623196029709e-142.01071752410113e-15
0.35-1.75934387048418e-141.54627177432921e-15
0.36-1.71059589725252e-141.06898465535863e-15
0.37-1.67867044287775e-146.60527477528404e-16
0.38-1.6599009127718e-143.66986339080233e-16
0.39-1.64971933119830e-141.94406745650743e-16
0.4-1.64374706045444e-141.34598155590564e-16
0.41-1.63793375359594e-141.95110132480464e-16
0.42-1.62788664811384e-143.94812614034716e-16
0.43-1.60801651238028e-147.73922616639251e-16
0.44-1.57134379927275e-141.36503067086703e-15
0.45-1.51069344419930e-142.14234966542404e-15
0.46-1.42134362866385e-142.98924498478713e-15
0.47-1.30403383415552e-143.71435295282912e-15
0.48-1.16631442593379e-144.12867206697241e-15
0.49-1.02059125548143e-144.14894938420672e-15
0.5-8.7915194582224e-153.85962764268087e-15
0.51-7.48746522233667e-153.48343605508491e-15
0.52-6.28058219259888e-153.26642986969400e-15
0.53-5.09805021044081e-153.32807978558594e-15
0.54-3.86293459458468e-153.57855272829131e-15
0.55-2.55052964049468e-153.790477290603e-15
0.56-1.21192826334813e-153.74831587228504e-15
0.574.71810627430382e-173.36224816539236e-15
0.581.11642323890804e-152.69890977216606e-15
0.591.92784569888460e-151.92640601980516e-15
0.62.47536862176829e-151.21862951265306e-15
0.612.80296437604336e-156.81788145341288e-16
0.622.97643990361523e-153.36796351155993e-16
0.633.05762678004069e-151.46719109886071e-16
0.643.0912381209863e-155.65450814119498e-17
0.653.10453691270356e-152.24132959869001e-17
0.663.12289251528604e-158.68557953739988e-17
0.673.37038496929445e-151.45259724936600e-15
0.687.4396880870455e-152.3498919505361e-14
0.696.7481618184019e-143.35799014298682e-13
0.78.42382234192742e-134.17936612117454e-12
0.719.53399784899245e-124.50878198920743e-11
0.729.3970503442116e-114.20241155256823e-10
0.738.02283736135557e-103.37323107048147e-09
0.745.91714850703767e-092.32401139271349e-08
0.753.76071697055954e-081.36933869768559e-07
0.762.05480282115120e-076.87399937643103e-07
0.779.63124259215431e-072.92841679411193e-06
0.783.86638389551745e-061.0547100717184e-05
0.791.32852659761909e-053.2013357582043e-05
0.83.91181497213014e-058.17607059451122e-05
0.819.91034183432573e-050.000176032788259933
0.820.0002178336294452780.000322209550477418
0.830.0004211440732174730.000510822144409688
0.840.0007294091500831520.000721984584922038
0.850.001153608255024900.00093484502543766
0.860.001689575929294460.00111383531006376
0.870.002304707587309160.00119314207556891
0.880.002929415197570190.00111207939565024
0.890.003474886918014780.000876414860592002
0.90.003875239721647260.000571948191879824
0.910.004125777481529050.000319488076503836
0.920.004290187925616810.000216702852791925
0.930.004470909334262980.000288096419114197
0.940.004752713591874580.000432817107116033
0.950.005161469558608170.000535983842259668
0.960.005847738771148250.000917448883556597
0.970.007368942425402710.00185847482034439
0.980.01074033510352530.00301931325671265
0.990.03243513671081210.0207613055348600

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0306295222055524 & 0.0179505837323756 \tabularnewline
0.02 & -0.0106056498173264 & 0.00400402844117514 \tabularnewline
0.03 & -0.0066678223238346 & 0.00162469037201751 \tabularnewline
0.04 & -0.00535194283336082 & 0.00074343972269176 \tabularnewline
0.05 & -0.00477073802262934 & 0.000458978110293456 \tabularnewline
0.06 & -0.00444995103987105 & 0.000282115229036101 \tabularnewline
0.07 & -0.00425531391808094 & 0.000233447778502105 \tabularnewline
0.08 & -0.00405099661732692 & 0.000420532547814785 \tabularnewline
0.09 & -0.00370110012103251 & 0.000771314873544954 \tabularnewline
0.1 & -0.0031540677421296 & 0.00109970398139605 \tabularnewline
0.11 & -0.00247803581566381 & 0.00122618777855023 \tabularnewline
0.12 & -0.00180455715817125 & 0.00112488853000440 \tabularnewline
0.13 & -0.00123311527308084 & 0.000913529184472759 \tabularnewline
0.14 & -0.000792143865860315 & 0.000703087858640664 \tabularnewline
0.15 & -0.000469772519688261 & 0.00051577747615106 \tabularnewline
0.16 & -0.000249618300014512 & 0.000341897161456139 \tabularnewline
0.17 & -0.000115631464303185 & 0.000194278159558779 \tabularnewline
0.18 & -4.58597042910493e-05 & 9.20807258153691e-05 \tabularnewline
0.19 & -1.54277412108298e-05 & 3.60836220138847e-05 \tabularnewline
0.2 & -4.38753646931068e-06 & 1.16941780665876e-05 \tabularnewline
0.21 & -1.05487333552211e-06 & 3.14684946059577e-06 \tabularnewline
0.22 & -2.14801217446809e-07 & 7.06795149828607e-07 \tabularnewline
0.23 & -3.71455943315901e-08 & 1.33221177084382e-07 \tabularnewline
0.24 & -5.47210472772029e-09 & 2.11824647109180e-08 \tabularnewline
0.25 & -6.88936029710346e-10 & 2.85502952550592e-09 \tabularnewline
0.26 & -7.4382756740328e-11 & 3.27658450409339e-10 \tabularnewline
0.27 & -6.92802044418503e-12 & 3.21528656121906e-11 \tabularnewline
0.28 & -5.7769395772572e-13 & 2.71005301272646e-12 \tabularnewline
0.29 & -6.1973047361815e-14 & 1.98826109551353e-13 \tabularnewline
0.3 & -2.46504270790938e-14 & 1.4652554960277e-14 \tabularnewline
0.31 & -2.12647570582397e-14 & 3.38014083623203e-15 \tabularnewline
0.32 & -2.00692827684684e-14 & 2.68042532137460e-15 \tabularnewline
0.33 & -1.90966890207472e-14 & 2.38702939652945e-15 \tabularnewline
0.34 & -1.82623196029709e-14 & 2.01071752410113e-15 \tabularnewline
0.35 & -1.75934387048418e-14 & 1.54627177432921e-15 \tabularnewline
0.36 & -1.71059589725252e-14 & 1.06898465535863e-15 \tabularnewline
0.37 & -1.67867044287775e-14 & 6.60527477528404e-16 \tabularnewline
0.38 & -1.6599009127718e-14 & 3.66986339080233e-16 \tabularnewline
0.39 & -1.64971933119830e-14 & 1.94406745650743e-16 \tabularnewline
0.4 & -1.64374706045444e-14 & 1.34598155590564e-16 \tabularnewline
0.41 & -1.63793375359594e-14 & 1.95110132480464e-16 \tabularnewline
0.42 & -1.62788664811384e-14 & 3.94812614034716e-16 \tabularnewline
0.43 & -1.60801651238028e-14 & 7.73922616639251e-16 \tabularnewline
0.44 & -1.57134379927275e-14 & 1.36503067086703e-15 \tabularnewline
0.45 & -1.51069344419930e-14 & 2.14234966542404e-15 \tabularnewline
0.46 & -1.42134362866385e-14 & 2.98924498478713e-15 \tabularnewline
0.47 & -1.30403383415552e-14 & 3.71435295282912e-15 \tabularnewline
0.48 & -1.16631442593379e-14 & 4.12867206697241e-15 \tabularnewline
0.49 & -1.02059125548143e-14 & 4.14894938420672e-15 \tabularnewline
0.5 & -8.7915194582224e-15 & 3.85962764268087e-15 \tabularnewline
0.51 & -7.48746522233667e-15 & 3.48343605508491e-15 \tabularnewline
0.52 & -6.28058219259888e-15 & 3.26642986969400e-15 \tabularnewline
0.53 & -5.09805021044081e-15 & 3.32807978558594e-15 \tabularnewline
0.54 & -3.86293459458468e-15 & 3.57855272829131e-15 \tabularnewline
0.55 & -2.55052964049468e-15 & 3.790477290603e-15 \tabularnewline
0.56 & -1.21192826334813e-15 & 3.74831587228504e-15 \tabularnewline
0.57 & 4.71810627430382e-17 & 3.36224816539236e-15 \tabularnewline
0.58 & 1.11642323890804e-15 & 2.69890977216606e-15 \tabularnewline
0.59 & 1.92784569888460e-15 & 1.92640601980516e-15 \tabularnewline
0.6 & 2.47536862176829e-15 & 1.21862951265306e-15 \tabularnewline
0.61 & 2.80296437604336e-15 & 6.81788145341288e-16 \tabularnewline
0.62 & 2.97643990361523e-15 & 3.36796351155993e-16 \tabularnewline
0.63 & 3.05762678004069e-15 & 1.46719109886071e-16 \tabularnewline
0.64 & 3.0912381209863e-15 & 5.65450814119498e-17 \tabularnewline
0.65 & 3.10453691270356e-15 & 2.24132959869001e-17 \tabularnewline
0.66 & 3.12289251528604e-15 & 8.68557953739988e-17 \tabularnewline
0.67 & 3.37038496929445e-15 & 1.45259724936600e-15 \tabularnewline
0.68 & 7.4396880870455e-15 & 2.3498919505361e-14 \tabularnewline
0.69 & 6.7481618184019e-14 & 3.35799014298682e-13 \tabularnewline
0.7 & 8.42382234192742e-13 & 4.17936612117454e-12 \tabularnewline
0.71 & 9.53399784899245e-12 & 4.50878198920743e-11 \tabularnewline
0.72 & 9.3970503442116e-11 & 4.20241155256823e-10 \tabularnewline
0.73 & 8.02283736135557e-10 & 3.37323107048147e-09 \tabularnewline
0.74 & 5.91714850703767e-09 & 2.32401139271349e-08 \tabularnewline
0.75 & 3.76071697055954e-08 & 1.36933869768559e-07 \tabularnewline
0.76 & 2.05480282115120e-07 & 6.87399937643103e-07 \tabularnewline
0.77 & 9.63124259215431e-07 & 2.92841679411193e-06 \tabularnewline
0.78 & 3.86638389551745e-06 & 1.0547100717184e-05 \tabularnewline
0.79 & 1.32852659761909e-05 & 3.2013357582043e-05 \tabularnewline
0.8 & 3.91181497213014e-05 & 8.17607059451122e-05 \tabularnewline
0.81 & 9.91034183432573e-05 & 0.000176032788259933 \tabularnewline
0.82 & 0.000217833629445278 & 0.000322209550477418 \tabularnewline
0.83 & 0.000421144073217473 & 0.000510822144409688 \tabularnewline
0.84 & 0.000729409150083152 & 0.000721984584922038 \tabularnewline
0.85 & 0.00115360825502490 & 0.00093484502543766 \tabularnewline
0.86 & 0.00168957592929446 & 0.00111383531006376 \tabularnewline
0.87 & 0.00230470758730916 & 0.00119314207556891 \tabularnewline
0.88 & 0.00292941519757019 & 0.00111207939565024 \tabularnewline
0.89 & 0.00347488691801478 & 0.000876414860592002 \tabularnewline
0.9 & 0.00387523972164726 & 0.000571948191879824 \tabularnewline
0.91 & 0.00412577748152905 & 0.000319488076503836 \tabularnewline
0.92 & 0.00429018792561681 & 0.000216702852791925 \tabularnewline
0.93 & 0.00447090933426298 & 0.000288096419114197 \tabularnewline
0.94 & 0.00475271359187458 & 0.000432817107116033 \tabularnewline
0.95 & 0.00516146955860817 & 0.000535983842259668 \tabularnewline
0.96 & 0.00584773877114825 & 0.000917448883556597 \tabularnewline
0.97 & 0.00736894242540271 & 0.00185847482034439 \tabularnewline
0.98 & 0.0107403351035253 & 0.00301931325671265 \tabularnewline
0.99 & 0.0324351367108121 & 0.0207613055348600 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97978&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]-0.0306295222055524[/C][C]0.0179505837323756[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0106056498173264[/C][C]0.00400402844117514[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0066678223238346[/C][C]0.00162469037201751[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00535194283336082[/C][C]0.00074343972269176[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00477073802262934[/C][C]0.000458978110293456[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00444995103987105[/C][C]0.000282115229036101[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00425531391808094[/C][C]0.000233447778502105[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00405099661732692[/C][C]0.000420532547814785[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00370110012103251[/C][C]0.000771314873544954[/C][/ROW]
[ROW][C]0.1[/C][C]-0.0031540677421296[/C][C]0.00109970398139605[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00247803581566381[/C][C]0.00122618777855023[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00180455715817125[/C][C]0.00112488853000440[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00123311527308084[/C][C]0.000913529184472759[/C][/ROW]
[ROW][C]0.14[/C][C]-0.000792143865860315[/C][C]0.000703087858640664[/C][/ROW]
[ROW][C]0.15[/C][C]-0.000469772519688261[/C][C]0.00051577747615106[/C][/ROW]
[ROW][C]0.16[/C][C]-0.000249618300014512[/C][C]0.000341897161456139[/C][/ROW]
[ROW][C]0.17[/C][C]-0.000115631464303185[/C][C]0.000194278159558779[/C][/ROW]
[ROW][C]0.18[/C][C]-4.58597042910493e-05[/C][C]9.20807258153691e-05[/C][/ROW]
[ROW][C]0.19[/C][C]-1.54277412108298e-05[/C][C]3.60836220138847e-05[/C][/ROW]
[ROW][C]0.2[/C][C]-4.38753646931068e-06[/C][C]1.16941780665876e-05[/C][/ROW]
[ROW][C]0.21[/C][C]-1.05487333552211e-06[/C][C]3.14684946059577e-06[/C][/ROW]
[ROW][C]0.22[/C][C]-2.14801217446809e-07[/C][C]7.06795149828607e-07[/C][/ROW]
[ROW][C]0.23[/C][C]-3.71455943315901e-08[/C][C]1.33221177084382e-07[/C][/ROW]
[ROW][C]0.24[/C][C]-5.47210472772029e-09[/C][C]2.11824647109180e-08[/C][/ROW]
[ROW][C]0.25[/C][C]-6.88936029710346e-10[/C][C]2.85502952550592e-09[/C][/ROW]
[ROW][C]0.26[/C][C]-7.4382756740328e-11[/C][C]3.27658450409339e-10[/C][/ROW]
[ROW][C]0.27[/C][C]-6.92802044418503e-12[/C][C]3.21528656121906e-11[/C][/ROW]
[ROW][C]0.28[/C][C]-5.7769395772572e-13[/C][C]2.71005301272646e-12[/C][/ROW]
[ROW][C]0.29[/C][C]-6.1973047361815e-14[/C][C]1.98826109551353e-13[/C][/ROW]
[ROW][C]0.3[/C][C]-2.46504270790938e-14[/C][C]1.4652554960277e-14[/C][/ROW]
[ROW][C]0.31[/C][C]-2.12647570582397e-14[/C][C]3.38014083623203e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-2.00692827684684e-14[/C][C]2.68042532137460e-15[/C][/ROW]
[ROW][C]0.33[/C][C]-1.90966890207472e-14[/C][C]2.38702939652945e-15[/C][/ROW]
[ROW][C]0.34[/C][C]-1.82623196029709e-14[/C][C]2.01071752410113e-15[/C][/ROW]
[ROW][C]0.35[/C][C]-1.75934387048418e-14[/C][C]1.54627177432921e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-1.71059589725252e-14[/C][C]1.06898465535863e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-1.67867044287775e-14[/C][C]6.60527477528404e-16[/C][/ROW]
[ROW][C]0.38[/C][C]-1.6599009127718e-14[/C][C]3.66986339080233e-16[/C][/ROW]
[ROW][C]0.39[/C][C]-1.64971933119830e-14[/C][C]1.94406745650743e-16[/C][/ROW]
[ROW][C]0.4[/C][C]-1.64374706045444e-14[/C][C]1.34598155590564e-16[/C][/ROW]
[ROW][C]0.41[/C][C]-1.63793375359594e-14[/C][C]1.95110132480464e-16[/C][/ROW]
[ROW][C]0.42[/C][C]-1.62788664811384e-14[/C][C]3.94812614034716e-16[/C][/ROW]
[ROW][C]0.43[/C][C]-1.60801651238028e-14[/C][C]7.73922616639251e-16[/C][/ROW]
[ROW][C]0.44[/C][C]-1.57134379927275e-14[/C][C]1.36503067086703e-15[/C][/ROW]
[ROW][C]0.45[/C][C]-1.51069344419930e-14[/C][C]2.14234966542404e-15[/C][/ROW]
[ROW][C]0.46[/C][C]-1.42134362866385e-14[/C][C]2.98924498478713e-15[/C][/ROW]
[ROW][C]0.47[/C][C]-1.30403383415552e-14[/C][C]3.71435295282912e-15[/C][/ROW]
[ROW][C]0.48[/C][C]-1.16631442593379e-14[/C][C]4.12867206697241e-15[/C][/ROW]
[ROW][C]0.49[/C][C]-1.02059125548143e-14[/C][C]4.14894938420672e-15[/C][/ROW]
[ROW][C]0.5[/C][C]-8.7915194582224e-15[/C][C]3.85962764268087e-15[/C][/ROW]
[ROW][C]0.51[/C][C]-7.48746522233667e-15[/C][C]3.48343605508491e-15[/C][/ROW]
[ROW][C]0.52[/C][C]-6.28058219259888e-15[/C][C]3.26642986969400e-15[/C][/ROW]
[ROW][C]0.53[/C][C]-5.09805021044081e-15[/C][C]3.32807978558594e-15[/C][/ROW]
[ROW][C]0.54[/C][C]-3.86293459458468e-15[/C][C]3.57855272829131e-15[/C][/ROW]
[ROW][C]0.55[/C][C]-2.55052964049468e-15[/C][C]3.790477290603e-15[/C][/ROW]
[ROW][C]0.56[/C][C]-1.21192826334813e-15[/C][C]3.74831587228504e-15[/C][/ROW]
[ROW][C]0.57[/C][C]4.71810627430382e-17[/C][C]3.36224816539236e-15[/C][/ROW]
[ROW][C]0.58[/C][C]1.11642323890804e-15[/C][C]2.69890977216606e-15[/C][/ROW]
[ROW][C]0.59[/C][C]1.92784569888460e-15[/C][C]1.92640601980516e-15[/C][/ROW]
[ROW][C]0.6[/C][C]2.47536862176829e-15[/C][C]1.21862951265306e-15[/C][/ROW]
[ROW][C]0.61[/C][C]2.80296437604336e-15[/C][C]6.81788145341288e-16[/C][/ROW]
[ROW][C]0.62[/C][C]2.97643990361523e-15[/C][C]3.36796351155993e-16[/C][/ROW]
[ROW][C]0.63[/C][C]3.05762678004069e-15[/C][C]1.46719109886071e-16[/C][/ROW]
[ROW][C]0.64[/C][C]3.0912381209863e-15[/C][C]5.65450814119498e-17[/C][/ROW]
[ROW][C]0.65[/C][C]3.10453691270356e-15[/C][C]2.24132959869001e-17[/C][/ROW]
[ROW][C]0.66[/C][C]3.12289251528604e-15[/C][C]8.68557953739988e-17[/C][/ROW]
[ROW][C]0.67[/C][C]3.37038496929445e-15[/C][C]1.45259724936600e-15[/C][/ROW]
[ROW][C]0.68[/C][C]7.4396880870455e-15[/C][C]2.3498919505361e-14[/C][/ROW]
[ROW][C]0.69[/C][C]6.7481618184019e-14[/C][C]3.35799014298682e-13[/C][/ROW]
[ROW][C]0.7[/C][C]8.42382234192742e-13[/C][C]4.17936612117454e-12[/C][/ROW]
[ROW][C]0.71[/C][C]9.53399784899245e-12[/C][C]4.50878198920743e-11[/C][/ROW]
[ROW][C]0.72[/C][C]9.3970503442116e-11[/C][C]4.20241155256823e-10[/C][/ROW]
[ROW][C]0.73[/C][C]8.02283736135557e-10[/C][C]3.37323107048147e-09[/C][/ROW]
[ROW][C]0.74[/C][C]5.91714850703767e-09[/C][C]2.32401139271349e-08[/C][/ROW]
[ROW][C]0.75[/C][C]3.76071697055954e-08[/C][C]1.36933869768559e-07[/C][/ROW]
[ROW][C]0.76[/C][C]2.05480282115120e-07[/C][C]6.87399937643103e-07[/C][/ROW]
[ROW][C]0.77[/C][C]9.63124259215431e-07[/C][C]2.92841679411193e-06[/C][/ROW]
[ROW][C]0.78[/C][C]3.86638389551745e-06[/C][C]1.0547100717184e-05[/C][/ROW]
[ROW][C]0.79[/C][C]1.32852659761909e-05[/C][C]3.2013357582043e-05[/C][/ROW]
[ROW][C]0.8[/C][C]3.91181497213014e-05[/C][C]8.17607059451122e-05[/C][/ROW]
[ROW][C]0.81[/C][C]9.91034183432573e-05[/C][C]0.000176032788259933[/C][/ROW]
[ROW][C]0.82[/C][C]0.000217833629445278[/C][C]0.000322209550477418[/C][/ROW]
[ROW][C]0.83[/C][C]0.000421144073217473[/C][C]0.000510822144409688[/C][/ROW]
[ROW][C]0.84[/C][C]0.000729409150083152[/C][C]0.000721984584922038[/C][/ROW]
[ROW][C]0.85[/C][C]0.00115360825502490[/C][C]0.00093484502543766[/C][/ROW]
[ROW][C]0.86[/C][C]0.00168957592929446[/C][C]0.00111383531006376[/C][/ROW]
[ROW][C]0.87[/C][C]0.00230470758730916[/C][C]0.00119314207556891[/C][/ROW]
[ROW][C]0.88[/C][C]0.00292941519757019[/C][C]0.00111207939565024[/C][/ROW]
[ROW][C]0.89[/C][C]0.00347488691801478[/C][C]0.000876414860592002[/C][/ROW]
[ROW][C]0.9[/C][C]0.00387523972164726[/C][C]0.000571948191879824[/C][/ROW]
[ROW][C]0.91[/C][C]0.00412577748152905[/C][C]0.000319488076503836[/C][/ROW]
[ROW][C]0.92[/C][C]0.00429018792561681[/C][C]0.000216702852791925[/C][/ROW]
[ROW][C]0.93[/C][C]0.00447090933426298[/C][C]0.000288096419114197[/C][/ROW]
[ROW][C]0.94[/C][C]0.00475271359187458[/C][C]0.000432817107116033[/C][/ROW]
[ROW][C]0.95[/C][C]0.00516146955860817[/C][C]0.000535983842259668[/C][/ROW]
[ROW][C]0.96[/C][C]0.00584773877114825[/C][C]0.000917448883556597[/C][/ROW]
[ROW][C]0.97[/C][C]0.00736894242540271[/C][C]0.00185847482034439[/C][/ROW]
[ROW][C]0.98[/C][C]0.0107403351035253[/C][C]0.00301931325671265[/C][/ROW]
[ROW][C]0.99[/C][C]0.0324351367108121[/C][C]0.0207613055348600[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97978&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
0.01-0.03062952220555240.0179505837323756
0.02-0.01060564981732640.00400402844117514
0.03-0.00666782232383460.00162469037201751
0.04-0.005351942833360820.00074343972269176
0.05-0.004770738022629340.000458978110293456
0.06-0.004449951039871050.000282115229036101
0.07-0.004255313918080940.000233447778502105
0.08-0.004050996617326920.000420532547814785
0.09-0.003701100121032510.000771314873544954
0.1-0.00315406774212960.00109970398139605
0.11-0.002478035815663810.00122618777855023
0.12-0.001804557158171250.00112488853000440
0.13-0.001233115273080840.000913529184472759
0.14-0.0007921438658603150.000703087858640664
0.15-0.0004697725196882610.00051577747615106
0.16-0.0002496183000145120.000341897161456139
0.17-0.0001156314643031850.000194278159558779
0.18-4.58597042910493e-059.20807258153691e-05
0.19-1.54277412108298e-053.60836220138847e-05
0.2-4.38753646931068e-061.16941780665876e-05
0.21-1.05487333552211e-063.14684946059577e-06
0.22-2.14801217446809e-077.06795149828607e-07
0.23-3.71455943315901e-081.33221177084382e-07
0.24-5.47210472772029e-092.11824647109180e-08
0.25-6.88936029710346e-102.85502952550592e-09
0.26-7.4382756740328e-113.27658450409339e-10
0.27-6.92802044418503e-123.21528656121906e-11
0.28-5.7769395772572e-132.71005301272646e-12
0.29-6.1973047361815e-141.98826109551353e-13
0.3-2.46504270790938e-141.4652554960277e-14
0.31-2.12647570582397e-143.38014083623203e-15
0.32-2.00692827684684e-142.68042532137460e-15
0.33-1.90966890207472e-142.38702939652945e-15
0.34-1.82623196029709e-142.01071752410113e-15
0.35-1.75934387048418e-141.54627177432921e-15
0.36-1.71059589725252e-141.06898465535863e-15
0.37-1.67867044287775e-146.60527477528404e-16
0.38-1.6599009127718e-143.66986339080233e-16
0.39-1.64971933119830e-141.94406745650743e-16
0.4-1.64374706045444e-141.34598155590564e-16
0.41-1.63793375359594e-141.95110132480464e-16
0.42-1.62788664811384e-143.94812614034716e-16
0.43-1.60801651238028e-147.73922616639251e-16
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0.47-1.30403383415552e-143.71435295282912e-15
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0.49-1.02059125548143e-144.14894938420672e-15
0.5-8.7915194582224e-153.85962764268087e-15
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0.54-3.86293459458468e-153.57855272829131e-15
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0.56-1.21192826334813e-153.74831587228504e-15
0.574.71810627430382e-173.36224816539236e-15
0.581.11642323890804e-152.69890977216606e-15
0.591.92784569888460e-151.92640601980516e-15
0.62.47536862176829e-151.21862951265306e-15
0.612.80296437604336e-156.81788145341288e-16
0.622.97643990361523e-153.36796351155993e-16
0.633.05762678004069e-151.46719109886071e-16
0.643.0912381209863e-155.65450814119498e-17
0.653.10453691270356e-152.24132959869001e-17
0.663.12289251528604e-158.68557953739988e-17
0.673.37038496929445e-151.45259724936600e-15
0.687.4396880870455e-152.3498919505361e-14
0.696.7481618184019e-143.35799014298682e-13
0.78.42382234192742e-134.17936612117454e-12
0.719.53399784899245e-124.50878198920743e-11
0.729.3970503442116e-114.20241155256823e-10
0.738.02283736135557e-103.37323107048147e-09
0.745.91714850703767e-092.32401139271349e-08
0.753.76071697055954e-081.36933869768559e-07
0.762.05480282115120e-076.87399937643103e-07
0.779.63124259215431e-072.92841679411193e-06
0.783.86638389551745e-061.0547100717184e-05
0.791.32852659761909e-053.2013357582043e-05
0.83.91181497213014e-058.17607059451122e-05
0.819.91034183432573e-050.000176032788259933
0.820.0002178336294452780.000322209550477418
0.830.0004211440732174730.000510822144409688
0.840.0007294091500831520.000721984584922038
0.850.001153608255024900.00093484502543766
0.860.001689575929294460.00111383531006376
0.870.002304707587309160.00119314207556891
0.880.002929415197570190.00111207939565024
0.890.003474886918014780.000876414860592002
0.90.003875239721647260.000571948191879824
0.910.004125777481529050.000319488076503836
0.920.004290187925616810.000216702852791925
0.930.004470909334262980.000288096419114197
0.940.004752713591874580.000432817107116033
0.950.005161469558608170.000535983842259668
0.960.005847738771148250.000917448883556597
0.970.007368942425402710.00185847482034439
0.980.01074033510352530.00301931325671265
0.990.03243513671081210.0207613055348600


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')