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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 27 May 2012 17:44:52 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/27/t1338155104wn0sz7kr6yrczeo.htm/, Retrieved Wed, 08 May 2024 19:21:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167750, Retrieved Wed, 08 May 2024 19:21:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentietabel a...] [2012-02-10 12:45:31] [0112d3169e5bff4e2f0b3452278280c8]
- RMP     [Harrell-Davis Quantiles] [] [2012-05-27 21:44:52] [580dcee726213d1997fefc515b1ea0db] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.143
4.429
5.219
4.929
5.761
5.592
4.163
4.962
5.208
4.755
4.491
5.732
5.731
5.040
6.102
4.904
5.369
5.578
4.619
4.731
5.011
5.227
4.146
4.625
4.736
4.219
5.116
4.205
4.121
5.103
4.300
4.578
3.809
5.657
4.249
3.830
4.736
4.840
4.412
4.570
4.105
4.801
3.953
3.828
4.444
4.027
4.118
4.791
3.232
3.554
3.950
3.948
3.683
4.311
3.865
4.140
4.095
3.814
3.377
3.443
3.494
4.015
5.401
5.122
5.507
6.425
4.948
2.977
2.937
2.972
2.732
3.172

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167750&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167750&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167750&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.787854588315530.162656579980629
0.022.864573272369050.120541271796605
0.032.937378177588150.107486309407738
0.043.002102865136190.124514785237574
0.053.064123384815780.151112829399279
0.063.127775736881160.173577540393599
0.073.193746283145060.187572539003858
0.083.260547417080270.193942807939577
0.093.32633026889670.195408706036195
0.13.389786052571430.194441993933362
0.113.450257784632360.192325628846848
0.123.507497305221330.189164442861583
0.133.56139262951630.184389648276772
0.143.611812547636670.177423203133437
0.153.658586093784590.168142761420326
0.163.701568834363440.15704685006435
0.173.740731247934210.145119609974468
0.183.776218155404750.133553766228066
0.193.808355273489540.123391270100724
0.23.837605682476130.115283010808935
0.213.864496358544070.10937514388999
0.223.889540010006710.105374493064255
0.233.913172617849730.102723017027683
0.243.935717378813490.100801899875258
0.253.957376140125820.099059037269787
0.263.978242922086830.0970842780906992
0.273.998331460478720.0946334650895748
0.284.017608958843880.0916250158784735
0.294.036029947282710.0881236038153965
0.34.053566082956020.0843343760488401
0.314.070229287381360.0805453847459665
0.324.086086725228260.0771513751113251
0.334.101266985659750.074533379472942
0.344.115957632104570.0730832968113758
0.354.130395105127120.0730950039376887
0.364.144848719190830.0747188085557861
0.374.159601045344630.0779793185632351
0.384.174927200522060.0827286319400307
0.394.191075433475190.088723159588783
0.44.208250959463360.0956347639520494
0.414.226604362729740.103109929797449
0.424.246225186878180.110793833723289
0.434.267140679316740.118340257579651
0.444.289319120985190.125450823897622
0.454.312676793285770.131860233562786
0.464.337087419986150.137388768094385
0.474.362392867323440.141892048016229
0.484.388413977542350.145309637485294
0.494.414960629710580.147604091812946
0.54.441840435921390.148810980034315
0.514.468865844555950.148968737244854
0.524.495859773428670.148158758045437
0.534.522660164697510.146468124551745
0.544.549123977267860.144002283615935
0.554.575131072921390.140883009511216
0.564.600588213210390.137250321120585
0.574.625433019455480.133278993395661
0.584.649637358016450.12915858020671
0.594.673209322804090.125109134007742
0.64.696192913761740.121339919686852
0.614.718664723117820.11804074586209
0.624.740727430177190.115370594859482
0.634.7625005685390.113403672598021
0.644.784109692227510.112148766749642
0.654.805675530040910.111524548337042
0.664.827304822853940.111389336341681
0.674.849084232505820.111586924860344
0.684.871078074483020.11195548964602
0.694.893329860096810.112372242482622
0.74.915866990383680.112759650779045
0.714.938707632969110.113077368970132
0.724.961868908976120.113341690395121
0.734.985375911615870.113587765477736
0.745.00927150340380.113896213889781
0.755.033626960226250.114381342609782
0.765.058553082688890.115196678154873
0.775.084210318459920.116572057050431
0.785.110814967441690.118750396697528
0.795.138637209170690.121983964552589
0.85.167986242007940.126445010181517
0.815.199179010162360.132105778634561
0.825.232492284318060.138697160356167
0.835.268103074407760.145634056656689
0.845.306028344074870.152048947809376
0.855.346079601593940.156939760904368
0.865.387848523388930.159329326962595
0.875.430734686826390.158506372425968
0.885.474017484963940.154188175138651
0.895.516968705846860.146610041102387
0.95.559012343575470.136500822132676
0.915.599973172204750.125006595497521
0.925.640503283317520.113911163501937
0.935.682780421221920.106535110180128
0.945.731433221721050.109375289603945
0.955.794269841505360.131122287520977
0.965.881737308066180.174422584913203
0.976.003153510422590.228906859855007
0.986.157139899782860.275711012695042
0.996.316757757842380.304109019578354

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.78785458831553 & 0.162656579980629 \tabularnewline
0.02 & 2.86457327236905 & 0.120541271796605 \tabularnewline
0.03 & 2.93737817758815 & 0.107486309407738 \tabularnewline
0.04 & 3.00210286513619 & 0.124514785237574 \tabularnewline
0.05 & 3.06412338481578 & 0.151112829399279 \tabularnewline
0.06 & 3.12777573688116 & 0.173577540393599 \tabularnewline
0.07 & 3.19374628314506 & 0.187572539003858 \tabularnewline
0.08 & 3.26054741708027 & 0.193942807939577 \tabularnewline
0.09 & 3.3263302688967 & 0.195408706036195 \tabularnewline
0.1 & 3.38978605257143 & 0.194441993933362 \tabularnewline
0.11 & 3.45025778463236 & 0.192325628846848 \tabularnewline
0.12 & 3.50749730522133 & 0.189164442861583 \tabularnewline
0.13 & 3.5613926295163 & 0.184389648276772 \tabularnewline
0.14 & 3.61181254763667 & 0.177423203133437 \tabularnewline
0.15 & 3.65858609378459 & 0.168142761420326 \tabularnewline
0.16 & 3.70156883436344 & 0.15704685006435 \tabularnewline
0.17 & 3.74073124793421 & 0.145119609974468 \tabularnewline
0.18 & 3.77621815540475 & 0.133553766228066 \tabularnewline
0.19 & 3.80835527348954 & 0.123391270100724 \tabularnewline
0.2 & 3.83760568247613 & 0.115283010808935 \tabularnewline
0.21 & 3.86449635854407 & 0.10937514388999 \tabularnewline
0.22 & 3.88954001000671 & 0.105374493064255 \tabularnewline
0.23 & 3.91317261784973 & 0.102723017027683 \tabularnewline
0.24 & 3.93571737881349 & 0.100801899875258 \tabularnewline
0.25 & 3.95737614012582 & 0.099059037269787 \tabularnewline
0.26 & 3.97824292208683 & 0.0970842780906992 \tabularnewline
0.27 & 3.99833146047872 & 0.0946334650895748 \tabularnewline
0.28 & 4.01760895884388 & 0.0916250158784735 \tabularnewline
0.29 & 4.03602994728271 & 0.0881236038153965 \tabularnewline
0.3 & 4.05356608295602 & 0.0843343760488401 \tabularnewline
0.31 & 4.07022928738136 & 0.0805453847459665 \tabularnewline
0.32 & 4.08608672522826 & 0.0771513751113251 \tabularnewline
0.33 & 4.10126698565975 & 0.074533379472942 \tabularnewline
0.34 & 4.11595763210457 & 0.0730832968113758 \tabularnewline
0.35 & 4.13039510512712 & 0.0730950039376887 \tabularnewline
0.36 & 4.14484871919083 & 0.0747188085557861 \tabularnewline
0.37 & 4.15960104534463 & 0.0779793185632351 \tabularnewline
0.38 & 4.17492720052206 & 0.0827286319400307 \tabularnewline
0.39 & 4.19107543347519 & 0.088723159588783 \tabularnewline
0.4 & 4.20825095946336 & 0.0956347639520494 \tabularnewline
0.41 & 4.22660436272974 & 0.103109929797449 \tabularnewline
0.42 & 4.24622518687818 & 0.110793833723289 \tabularnewline
0.43 & 4.26714067931674 & 0.118340257579651 \tabularnewline
0.44 & 4.28931912098519 & 0.125450823897622 \tabularnewline
0.45 & 4.31267679328577 & 0.131860233562786 \tabularnewline
0.46 & 4.33708741998615 & 0.137388768094385 \tabularnewline
0.47 & 4.36239286732344 & 0.141892048016229 \tabularnewline
0.48 & 4.38841397754235 & 0.145309637485294 \tabularnewline
0.49 & 4.41496062971058 & 0.147604091812946 \tabularnewline
0.5 & 4.44184043592139 & 0.148810980034315 \tabularnewline
0.51 & 4.46886584455595 & 0.148968737244854 \tabularnewline
0.52 & 4.49585977342867 & 0.148158758045437 \tabularnewline
0.53 & 4.52266016469751 & 0.146468124551745 \tabularnewline
0.54 & 4.54912397726786 & 0.144002283615935 \tabularnewline
0.55 & 4.57513107292139 & 0.140883009511216 \tabularnewline
0.56 & 4.60058821321039 & 0.137250321120585 \tabularnewline
0.57 & 4.62543301945548 & 0.133278993395661 \tabularnewline
0.58 & 4.64963735801645 & 0.12915858020671 \tabularnewline
0.59 & 4.67320932280409 & 0.125109134007742 \tabularnewline
0.6 & 4.69619291376174 & 0.121339919686852 \tabularnewline
0.61 & 4.71866472311782 & 0.11804074586209 \tabularnewline
0.62 & 4.74072743017719 & 0.115370594859482 \tabularnewline
0.63 & 4.762500568539 & 0.113403672598021 \tabularnewline
0.64 & 4.78410969222751 & 0.112148766749642 \tabularnewline
0.65 & 4.80567553004091 & 0.111524548337042 \tabularnewline
0.66 & 4.82730482285394 & 0.111389336341681 \tabularnewline
0.67 & 4.84908423250582 & 0.111586924860344 \tabularnewline
0.68 & 4.87107807448302 & 0.11195548964602 \tabularnewline
0.69 & 4.89332986009681 & 0.112372242482622 \tabularnewline
0.7 & 4.91586699038368 & 0.112759650779045 \tabularnewline
0.71 & 4.93870763296911 & 0.113077368970132 \tabularnewline
0.72 & 4.96186890897612 & 0.113341690395121 \tabularnewline
0.73 & 4.98537591161587 & 0.113587765477736 \tabularnewline
0.74 & 5.0092715034038 & 0.113896213889781 \tabularnewline
0.75 & 5.03362696022625 & 0.114381342609782 \tabularnewline
0.76 & 5.05855308268889 & 0.115196678154873 \tabularnewline
0.77 & 5.08421031845992 & 0.116572057050431 \tabularnewline
0.78 & 5.11081496744169 & 0.118750396697528 \tabularnewline
0.79 & 5.13863720917069 & 0.121983964552589 \tabularnewline
0.8 & 5.16798624200794 & 0.126445010181517 \tabularnewline
0.81 & 5.19917901016236 & 0.132105778634561 \tabularnewline
0.82 & 5.23249228431806 & 0.138697160356167 \tabularnewline
0.83 & 5.26810307440776 & 0.145634056656689 \tabularnewline
0.84 & 5.30602834407487 & 0.152048947809376 \tabularnewline
0.85 & 5.34607960159394 & 0.156939760904368 \tabularnewline
0.86 & 5.38784852338893 & 0.159329326962595 \tabularnewline
0.87 & 5.43073468682639 & 0.158506372425968 \tabularnewline
0.88 & 5.47401748496394 & 0.154188175138651 \tabularnewline
0.89 & 5.51696870584686 & 0.146610041102387 \tabularnewline
0.9 & 5.55901234357547 & 0.136500822132676 \tabularnewline
0.91 & 5.59997317220475 & 0.125006595497521 \tabularnewline
0.92 & 5.64050328331752 & 0.113911163501937 \tabularnewline
0.93 & 5.68278042122192 & 0.106535110180128 \tabularnewline
0.94 & 5.73143322172105 & 0.109375289603945 \tabularnewline
0.95 & 5.79426984150536 & 0.131122287520977 \tabularnewline
0.96 & 5.88173730806618 & 0.174422584913203 \tabularnewline
0.97 & 6.00315351042259 & 0.228906859855007 \tabularnewline
0.98 & 6.15713989978286 & 0.275711012695042 \tabularnewline
0.99 & 6.31675775784238 & 0.304109019578354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167750&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]2.78785458831553[/C][C]0.162656579980629[/C][/ROW]
[ROW][C]0.02[/C][C]2.86457327236905[/C][C]0.120541271796605[/C][/ROW]
[ROW][C]0.03[/C][C]2.93737817758815[/C][C]0.107486309407738[/C][/ROW]
[ROW][C]0.04[/C][C]3.00210286513619[/C][C]0.124514785237574[/C][/ROW]
[ROW][C]0.05[/C][C]3.06412338481578[/C][C]0.151112829399279[/C][/ROW]
[ROW][C]0.06[/C][C]3.12777573688116[/C][C]0.173577540393599[/C][/ROW]
[ROW][C]0.07[/C][C]3.19374628314506[/C][C]0.187572539003858[/C][/ROW]
[ROW][C]0.08[/C][C]3.26054741708027[/C][C]0.193942807939577[/C][/ROW]
[ROW][C]0.09[/C][C]3.3263302688967[/C][C]0.195408706036195[/C][/ROW]
[ROW][C]0.1[/C][C]3.38978605257143[/C][C]0.194441993933362[/C][/ROW]
[ROW][C]0.11[/C][C]3.45025778463236[/C][C]0.192325628846848[/C][/ROW]
[ROW][C]0.12[/C][C]3.50749730522133[/C][C]0.189164442861583[/C][/ROW]
[ROW][C]0.13[/C][C]3.5613926295163[/C][C]0.184389648276772[/C][/ROW]
[ROW][C]0.14[/C][C]3.61181254763667[/C][C]0.177423203133437[/C][/ROW]
[ROW][C]0.15[/C][C]3.65858609378459[/C][C]0.168142761420326[/C][/ROW]
[ROW][C]0.16[/C][C]3.70156883436344[/C][C]0.15704685006435[/C][/ROW]
[ROW][C]0.17[/C][C]3.74073124793421[/C][C]0.145119609974468[/C][/ROW]
[ROW][C]0.18[/C][C]3.77621815540475[/C][C]0.133553766228066[/C][/ROW]
[ROW][C]0.19[/C][C]3.80835527348954[/C][C]0.123391270100724[/C][/ROW]
[ROW][C]0.2[/C][C]3.83760568247613[/C][C]0.115283010808935[/C][/ROW]
[ROW][C]0.21[/C][C]3.86449635854407[/C][C]0.10937514388999[/C][/ROW]
[ROW][C]0.22[/C][C]3.88954001000671[/C][C]0.105374493064255[/C][/ROW]
[ROW][C]0.23[/C][C]3.91317261784973[/C][C]0.102723017027683[/C][/ROW]
[ROW][C]0.24[/C][C]3.93571737881349[/C][C]0.100801899875258[/C][/ROW]
[ROW][C]0.25[/C][C]3.95737614012582[/C][C]0.099059037269787[/C][/ROW]
[ROW][C]0.26[/C][C]3.97824292208683[/C][C]0.0970842780906992[/C][/ROW]
[ROW][C]0.27[/C][C]3.99833146047872[/C][C]0.0946334650895748[/C][/ROW]
[ROW][C]0.28[/C][C]4.01760895884388[/C][C]0.0916250158784735[/C][/ROW]
[ROW][C]0.29[/C][C]4.03602994728271[/C][C]0.0881236038153965[/C][/ROW]
[ROW][C]0.3[/C][C]4.05356608295602[/C][C]0.0843343760488401[/C][/ROW]
[ROW][C]0.31[/C][C]4.07022928738136[/C][C]0.0805453847459665[/C][/ROW]
[ROW][C]0.32[/C][C]4.08608672522826[/C][C]0.0771513751113251[/C][/ROW]
[ROW][C]0.33[/C][C]4.10126698565975[/C][C]0.074533379472942[/C][/ROW]
[ROW][C]0.34[/C][C]4.11595763210457[/C][C]0.0730832968113758[/C][/ROW]
[ROW][C]0.35[/C][C]4.13039510512712[/C][C]0.0730950039376887[/C][/ROW]
[ROW][C]0.36[/C][C]4.14484871919083[/C][C]0.0747188085557861[/C][/ROW]
[ROW][C]0.37[/C][C]4.15960104534463[/C][C]0.0779793185632351[/C][/ROW]
[ROW][C]0.38[/C][C]4.17492720052206[/C][C]0.0827286319400307[/C][/ROW]
[ROW][C]0.39[/C][C]4.19107543347519[/C][C]0.088723159588783[/C][/ROW]
[ROW][C]0.4[/C][C]4.20825095946336[/C][C]0.0956347639520494[/C][/ROW]
[ROW][C]0.41[/C][C]4.22660436272974[/C][C]0.103109929797449[/C][/ROW]
[ROW][C]0.42[/C][C]4.24622518687818[/C][C]0.110793833723289[/C][/ROW]
[ROW][C]0.43[/C][C]4.26714067931674[/C][C]0.118340257579651[/C][/ROW]
[ROW][C]0.44[/C][C]4.28931912098519[/C][C]0.125450823897622[/C][/ROW]
[ROW][C]0.45[/C][C]4.31267679328577[/C][C]0.131860233562786[/C][/ROW]
[ROW][C]0.46[/C][C]4.33708741998615[/C][C]0.137388768094385[/C][/ROW]
[ROW][C]0.47[/C][C]4.36239286732344[/C][C]0.141892048016229[/C][/ROW]
[ROW][C]0.48[/C][C]4.38841397754235[/C][C]0.145309637485294[/C][/ROW]
[ROW][C]0.49[/C][C]4.41496062971058[/C][C]0.147604091812946[/C][/ROW]
[ROW][C]0.5[/C][C]4.44184043592139[/C][C]0.148810980034315[/C][/ROW]
[ROW][C]0.51[/C][C]4.46886584455595[/C][C]0.148968737244854[/C][/ROW]
[ROW][C]0.52[/C][C]4.49585977342867[/C][C]0.148158758045437[/C][/ROW]
[ROW][C]0.53[/C][C]4.52266016469751[/C][C]0.146468124551745[/C][/ROW]
[ROW][C]0.54[/C][C]4.54912397726786[/C][C]0.144002283615935[/C][/ROW]
[ROW][C]0.55[/C][C]4.57513107292139[/C][C]0.140883009511216[/C][/ROW]
[ROW][C]0.56[/C][C]4.60058821321039[/C][C]0.137250321120585[/C][/ROW]
[ROW][C]0.57[/C][C]4.62543301945548[/C][C]0.133278993395661[/C][/ROW]
[ROW][C]0.58[/C][C]4.64963735801645[/C][C]0.12915858020671[/C][/ROW]
[ROW][C]0.59[/C][C]4.67320932280409[/C][C]0.125109134007742[/C][/ROW]
[ROW][C]0.6[/C][C]4.69619291376174[/C][C]0.121339919686852[/C][/ROW]
[ROW][C]0.61[/C][C]4.71866472311782[/C][C]0.11804074586209[/C][/ROW]
[ROW][C]0.62[/C][C]4.74072743017719[/C][C]0.115370594859482[/C][/ROW]
[ROW][C]0.63[/C][C]4.762500568539[/C][C]0.113403672598021[/C][/ROW]
[ROW][C]0.64[/C][C]4.78410969222751[/C][C]0.112148766749642[/C][/ROW]
[ROW][C]0.65[/C][C]4.80567553004091[/C][C]0.111524548337042[/C][/ROW]
[ROW][C]0.66[/C][C]4.82730482285394[/C][C]0.111389336341681[/C][/ROW]
[ROW][C]0.67[/C][C]4.84908423250582[/C][C]0.111586924860344[/C][/ROW]
[ROW][C]0.68[/C][C]4.87107807448302[/C][C]0.11195548964602[/C][/ROW]
[ROW][C]0.69[/C][C]4.89332986009681[/C][C]0.112372242482622[/C][/ROW]
[ROW][C]0.7[/C][C]4.91586699038368[/C][C]0.112759650779045[/C][/ROW]
[ROW][C]0.71[/C][C]4.93870763296911[/C][C]0.113077368970132[/C][/ROW]
[ROW][C]0.72[/C][C]4.96186890897612[/C][C]0.113341690395121[/C][/ROW]
[ROW][C]0.73[/C][C]4.98537591161587[/C][C]0.113587765477736[/C][/ROW]
[ROW][C]0.74[/C][C]5.0092715034038[/C][C]0.113896213889781[/C][/ROW]
[ROW][C]0.75[/C][C]5.03362696022625[/C][C]0.114381342609782[/C][/ROW]
[ROW][C]0.76[/C][C]5.05855308268889[/C][C]0.115196678154873[/C][/ROW]
[ROW][C]0.77[/C][C]5.08421031845992[/C][C]0.116572057050431[/C][/ROW]
[ROW][C]0.78[/C][C]5.11081496744169[/C][C]0.118750396697528[/C][/ROW]
[ROW][C]0.79[/C][C]5.13863720917069[/C][C]0.121983964552589[/C][/ROW]
[ROW][C]0.8[/C][C]5.16798624200794[/C][C]0.126445010181517[/C][/ROW]
[ROW][C]0.81[/C][C]5.19917901016236[/C][C]0.132105778634561[/C][/ROW]
[ROW][C]0.82[/C][C]5.23249228431806[/C][C]0.138697160356167[/C][/ROW]
[ROW][C]0.83[/C][C]5.26810307440776[/C][C]0.145634056656689[/C][/ROW]
[ROW][C]0.84[/C][C]5.30602834407487[/C][C]0.152048947809376[/C][/ROW]
[ROW][C]0.85[/C][C]5.34607960159394[/C][C]0.156939760904368[/C][/ROW]
[ROW][C]0.86[/C][C]5.38784852338893[/C][C]0.159329326962595[/C][/ROW]
[ROW][C]0.87[/C][C]5.43073468682639[/C][C]0.158506372425968[/C][/ROW]
[ROW][C]0.88[/C][C]5.47401748496394[/C][C]0.154188175138651[/C][/ROW]
[ROW][C]0.89[/C][C]5.51696870584686[/C][C]0.146610041102387[/C][/ROW]
[ROW][C]0.9[/C][C]5.55901234357547[/C][C]0.136500822132676[/C][/ROW]
[ROW][C]0.91[/C][C]5.59997317220475[/C][C]0.125006595497521[/C][/ROW]
[ROW][C]0.92[/C][C]5.64050328331752[/C][C]0.113911163501937[/C][/ROW]
[ROW][C]0.93[/C][C]5.68278042122192[/C][C]0.106535110180128[/C][/ROW]
[ROW][C]0.94[/C][C]5.73143322172105[/C][C]0.109375289603945[/C][/ROW]
[ROW][C]0.95[/C][C]5.79426984150536[/C][C]0.131122287520977[/C][/ROW]
[ROW][C]0.96[/C][C]5.88173730806618[/C][C]0.174422584913203[/C][/ROW]
[ROW][C]0.97[/C][C]6.00315351042259[/C][C]0.228906859855007[/C][/ROW]
[ROW][C]0.98[/C][C]6.15713989978286[/C][C]0.275711012695042[/C][/ROW]
[ROW][C]0.99[/C][C]6.31675775784238[/C][C]0.304109019578354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167750&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167750&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
0.012.787854588315530.162656579980629
0.022.864573272369050.120541271796605
0.032.937378177588150.107486309407738
0.043.002102865136190.124514785237574
0.053.064123384815780.151112829399279
0.063.127775736881160.173577540393599
0.073.193746283145060.187572539003858
0.083.260547417080270.193942807939577
0.093.32633026889670.195408706036195
0.13.389786052571430.194441993933362
0.113.450257784632360.192325628846848
0.123.507497305221330.189164442861583
0.133.56139262951630.184389648276772
0.143.611812547636670.177423203133437
0.153.658586093784590.168142761420326
0.163.701568834363440.15704685006435
0.173.740731247934210.145119609974468
0.183.776218155404750.133553766228066
0.193.808355273489540.123391270100724
0.23.837605682476130.115283010808935
0.213.864496358544070.10937514388999
0.223.889540010006710.105374493064255
0.233.913172617849730.102723017027683
0.243.935717378813490.100801899875258
0.253.957376140125820.099059037269787
0.263.978242922086830.0970842780906992
0.273.998331460478720.0946334650895748
0.284.017608958843880.0916250158784735
0.294.036029947282710.0881236038153965
0.34.053566082956020.0843343760488401
0.314.070229287381360.0805453847459665
0.324.086086725228260.0771513751113251
0.334.101266985659750.074533379472942
0.344.115957632104570.0730832968113758
0.354.130395105127120.0730950039376887
0.364.144848719190830.0747188085557861
0.374.159601045344630.0779793185632351
0.384.174927200522060.0827286319400307
0.394.191075433475190.088723159588783
0.44.208250959463360.0956347639520494
0.414.226604362729740.103109929797449
0.424.246225186878180.110793833723289
0.434.267140679316740.118340257579651
0.444.289319120985190.125450823897622
0.454.312676793285770.131860233562786
0.464.337087419986150.137388768094385
0.474.362392867323440.141892048016229
0.484.388413977542350.145309637485294
0.494.414960629710580.147604091812946
0.54.441840435921390.148810980034315
0.514.468865844555950.148968737244854
0.524.495859773428670.148158758045437
0.534.522660164697510.146468124551745
0.544.549123977267860.144002283615935
0.554.575131072921390.140883009511216
0.564.600588213210390.137250321120585
0.574.625433019455480.133278993395661
0.584.649637358016450.12915858020671
0.594.673209322804090.125109134007742
0.64.696192913761740.121339919686852
0.614.718664723117820.11804074586209
0.624.740727430177190.115370594859482
0.634.7625005685390.113403672598021
0.644.784109692227510.112148766749642
0.654.805675530040910.111524548337042
0.664.827304822853940.111389336341681
0.674.849084232505820.111586924860344
0.684.871078074483020.11195548964602
0.694.893329860096810.112372242482622
0.74.915866990383680.112759650779045
0.714.938707632969110.113077368970132
0.724.961868908976120.113341690395121
0.734.985375911615870.113587765477736
0.745.00927150340380.113896213889781
0.755.033626960226250.114381342609782
0.765.058553082688890.115196678154873
0.775.084210318459920.116572057050431
0.785.110814967441690.118750396697528
0.795.138637209170690.121983964552589
0.85.167986242007940.126445010181517
0.815.199179010162360.132105778634561
0.825.232492284318060.138697160356167
0.835.268103074407760.145634056656689
0.845.306028344074870.152048947809376
0.855.346079601593940.156939760904368
0.865.387848523388930.159329326962595
0.875.430734686826390.158506372425968
0.885.474017484963940.154188175138651
0.895.516968705846860.146610041102387
0.95.559012343575470.136500822132676
0.915.599973172204750.125006595497521
0.925.640503283317520.113911163501937
0.935.682780421221920.106535110180128
0.945.731433221721050.109375289603945
0.955.794269841505360.131122287520977
0.965.881737308066180.174422584913203
0.976.003153510422590.228906859855007
0.986.157139899782860.275711012695042
0.996.316757757842380.304109019578354


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')