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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 computationFri, 07 Oct 2011 13:29:22 -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/2011/Oct/07/t1318009256khaa2s3f4x0nc1k.htm/, Retrieved Thu, 16 May 2024 19:00:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127240, Retrieved Thu, 16 May 2024 19:00:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact68

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] [] [2011-10-07 17:29:22] [d22ab4133447fd2cf74cbadcaeb9b5f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.89
21.04
21.07
21.12
21.25
21.24
21.24
21.22
21.29
21.25
21.15
21.16
21.16
21.52
21.59
21.6
21.68
21.67
21.67
21.65
21.74
21.72
21.84
21.94
21.94
21.95
21.96
22.1
22.13
22.18
22.18
22.27
22.3
22.04
22.05
22.06
22.06
22.06
21.97
22.03
22.08
22.13
22.13
22.4
22.4
22.12
22.22
22.14
22.14
22.19
22.29
22.24
22.26
22.29
22.29
22.29
22.29
22.35
22.39
22.43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 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=127240&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=127240&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127240&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
0.0120.92263685357640.125282180830793
0.0220.96862703296920.096948139530921
0.0321.01385198650260.0740510700092555
0.0421.05153502431830.0604543832083989
0.0521.08113925269610.053545669309864
0.0621.10461705016550.0496989261945589
0.0721.12404639459220.0472819444803803
0.0821.14092781617640.0460897650994379
0.0921.15625713989910.0463249461907437
0.121.170739587640.0480415535217196
0.1121.18493526438110.0512034741605326
0.1221.19933373306910.0559232841907906
0.1321.21439313507890.0624522954791218
0.1421.23055942387940.0711964312169085
0.1521.24826378830570.0822806633094698
0.1621.26789478698440.095415412961678
0.1721.28974997857710.10987954542081
0.1821.313980836110.124622869461869
0.1921.3405487317360.138364866335797
0.221.36920726946830.149911800996896
0.2121.399518822250.158359040558822
0.2221.43090383903610.163085206215575
0.2321.4627133693060.164034800063017
0.2421.4943103973970.161550807439267
0.2521.52514474779540.156352549714692
0.2621.55480905293720.149457474540701
0.2721.58306830040010.141933197486315
0.2821.60986124940290.134815321023426
0.2921.6352771563110.128911028092337
0.321.65951486443850.124728402544279
0.3121.68283302874760.122392370162831
0.3221.70550016504680.121706615411691
0.3321.72775174818890.12219111583772
0.3421.74975927956790.123313054206296
0.3521.77161363946460.12438347976073
0.3621.79332258243980.124912172862328
0.3721.81482024620840.124478421366271
0.3821.83598521836470.122847638616213
0.3921.8566631122920.119993217856078
0.421.87668970756340.115925334497864
0.4121.89591138442130.110842795723062
0.4221.91420063234920.105034868887809
0.4321.93146561003020.0987484110349799
0.4421.94765385312320.0922572697473787
0.4521.96275108631490.0857909535679089
0.4621.97677659088340.0795840245096649
0.4721.98977669105220.0737171434288546
0.4822.00181771608140.0682730885126774
0.4922.01297939143420.063339209732554
0.522.0233491531590.0589139329678903
0.5122.0330174901230.054997127513447
0.5222.04207417939910.0516113690003038
0.5322.05060521342710.0487177306711032
0.5422.05869029157730.0462662585309419
0.5522.06640089460030.0442567219406156
0.5622.07379909758270.0425842089120019
0.5722.08093733842580.0411754469388029
0.5822.08785930965130.0399565548378198
0.5922.09460198650010.0388836310060866
0.622.10119858442460.0379560367510747
0.6122.107682016470.0371257043367567
0.6222.11408826047590.0364657005824467
0.6322.12045899601550.0360241462642526
0.6422.12684295044580.0358659657129269
0.6522.13329558733270.0360622809561616
0.6622.13987703522450.0366079017626501
0.6722.14664843138590.0375201785316819
0.6822.15366708644480.0387628010940831
0.6922.16098102202010.0402582788166388
0.722.16862348109940.0418540562257696
0.7122.17660797445960.0434544242706835
0.7222.18492433966020.0449221444117478
0.7322.19353619220540.0460967528043727
0.7422.20238007377190.0468613789850693
0.7522.21136656460590.0470675768241727
0.7622.22038362020510.0466335903578451
0.7722.22930239300260.0454906991793049
0.7822.23798577495980.0436160291920468
0.7922.2462998102740.0410450852346846
0.822.25412794039670.0378757628483052
0.8122.26138771184870.0342664262269845
0.8222.26804904561840.0304696750595828
0.8322.27415237423460.0268077299262304
0.8422.27982386346020.0236263689588284
0.8522.28528361287650.0214434458509402
0.8622.29084145021690.0207540258741983
0.8722.29687431444640.0219279728193041
0.8822.30378026966510.0249340682306548
0.8922.3119081528750.0292919613671603
0.922.32146974260760.0341722700921142
0.9122.33245308174520.0385098715386256
0.9222.34456897938880.0411635034970331
0.9322.35727211102690.0411510013518188
0.9422.36989285050250.0380254418356268
0.9522.38187881812910.0322274677781236
0.9622.39305683614130.0253610476710234
0.9722.40369383904720.0203077827131655
0.9822.4140682046950.020305210533293
0.9922.42354220529650.0248169082106376

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.9226368535764 & 0.125282180830793 \tabularnewline
0.02 & 20.9686270329692 & 0.096948139530921 \tabularnewline
0.03 & 21.0138519865026 & 0.0740510700092555 \tabularnewline
0.04 & 21.0515350243183 & 0.0604543832083989 \tabularnewline
0.05 & 21.0811392526961 & 0.053545669309864 \tabularnewline
0.06 & 21.1046170501655 & 0.0496989261945589 \tabularnewline
0.07 & 21.1240463945922 & 0.0472819444803803 \tabularnewline
0.08 & 21.1409278161764 & 0.0460897650994379 \tabularnewline
0.09 & 21.1562571398991 & 0.0463249461907437 \tabularnewline
0.1 & 21.17073958764 & 0.0480415535217196 \tabularnewline
0.11 & 21.1849352643811 & 0.0512034741605326 \tabularnewline
0.12 & 21.1993337330691 & 0.0559232841907906 \tabularnewline
0.13 & 21.2143931350789 & 0.0624522954791218 \tabularnewline
0.14 & 21.2305594238794 & 0.0711964312169085 \tabularnewline
0.15 & 21.2482637883057 & 0.0822806633094698 \tabularnewline
0.16 & 21.2678947869844 & 0.095415412961678 \tabularnewline
0.17 & 21.2897499785771 & 0.10987954542081 \tabularnewline
0.18 & 21.31398083611 & 0.124622869461869 \tabularnewline
0.19 & 21.340548731736 & 0.138364866335797 \tabularnewline
0.2 & 21.3692072694683 & 0.149911800996896 \tabularnewline
0.21 & 21.39951882225 & 0.158359040558822 \tabularnewline
0.22 & 21.4309038390361 & 0.163085206215575 \tabularnewline
0.23 & 21.462713369306 & 0.164034800063017 \tabularnewline
0.24 & 21.494310397397 & 0.161550807439267 \tabularnewline
0.25 & 21.5251447477954 & 0.156352549714692 \tabularnewline
0.26 & 21.5548090529372 & 0.149457474540701 \tabularnewline
0.27 & 21.5830683004001 & 0.141933197486315 \tabularnewline
0.28 & 21.6098612494029 & 0.134815321023426 \tabularnewline
0.29 & 21.635277156311 & 0.128911028092337 \tabularnewline
0.3 & 21.6595148644385 & 0.124728402544279 \tabularnewline
0.31 & 21.6828330287476 & 0.122392370162831 \tabularnewline
0.32 & 21.7055001650468 & 0.121706615411691 \tabularnewline
0.33 & 21.7277517481889 & 0.12219111583772 \tabularnewline
0.34 & 21.7497592795679 & 0.123313054206296 \tabularnewline
0.35 & 21.7716136394646 & 0.12438347976073 \tabularnewline
0.36 & 21.7933225824398 & 0.124912172862328 \tabularnewline
0.37 & 21.8148202462084 & 0.124478421366271 \tabularnewline
0.38 & 21.8359852183647 & 0.122847638616213 \tabularnewline
0.39 & 21.856663112292 & 0.119993217856078 \tabularnewline
0.4 & 21.8766897075634 & 0.115925334497864 \tabularnewline
0.41 & 21.8959113844213 & 0.110842795723062 \tabularnewline
0.42 & 21.9142006323492 & 0.105034868887809 \tabularnewline
0.43 & 21.9314656100302 & 0.0987484110349799 \tabularnewline
0.44 & 21.9476538531232 & 0.0922572697473787 \tabularnewline
0.45 & 21.9627510863149 & 0.0857909535679089 \tabularnewline
0.46 & 21.9767765908834 & 0.0795840245096649 \tabularnewline
0.47 & 21.9897766910522 & 0.0737171434288546 \tabularnewline
0.48 & 22.0018177160814 & 0.0682730885126774 \tabularnewline
0.49 & 22.0129793914342 & 0.063339209732554 \tabularnewline
0.5 & 22.023349153159 & 0.0589139329678903 \tabularnewline
0.51 & 22.033017490123 & 0.054997127513447 \tabularnewline
0.52 & 22.0420741793991 & 0.0516113690003038 \tabularnewline
0.53 & 22.0506052134271 & 0.0487177306711032 \tabularnewline
0.54 & 22.0586902915773 & 0.0462662585309419 \tabularnewline
0.55 & 22.0664008946003 & 0.0442567219406156 \tabularnewline
0.56 & 22.0737990975827 & 0.0425842089120019 \tabularnewline
0.57 & 22.0809373384258 & 0.0411754469388029 \tabularnewline
0.58 & 22.0878593096513 & 0.0399565548378198 \tabularnewline
0.59 & 22.0946019865001 & 0.0388836310060866 \tabularnewline
0.6 & 22.1011985844246 & 0.0379560367510747 \tabularnewline
0.61 & 22.10768201647 & 0.0371257043367567 \tabularnewline
0.62 & 22.1140882604759 & 0.0364657005824467 \tabularnewline
0.63 & 22.1204589960155 & 0.0360241462642526 \tabularnewline
0.64 & 22.1268429504458 & 0.0358659657129269 \tabularnewline
0.65 & 22.1332955873327 & 0.0360622809561616 \tabularnewline
0.66 & 22.1398770352245 & 0.0366079017626501 \tabularnewline
0.67 & 22.1466484313859 & 0.0375201785316819 \tabularnewline
0.68 & 22.1536670864448 & 0.0387628010940831 \tabularnewline
0.69 & 22.1609810220201 & 0.0402582788166388 \tabularnewline
0.7 & 22.1686234810994 & 0.0418540562257696 \tabularnewline
0.71 & 22.1766079744596 & 0.0434544242706835 \tabularnewline
0.72 & 22.1849243396602 & 0.0449221444117478 \tabularnewline
0.73 & 22.1935361922054 & 0.0460967528043727 \tabularnewline
0.74 & 22.2023800737719 & 0.0468613789850693 \tabularnewline
0.75 & 22.2113665646059 & 0.0470675768241727 \tabularnewline
0.76 & 22.2203836202051 & 0.0466335903578451 \tabularnewline
0.77 & 22.2293023930026 & 0.0454906991793049 \tabularnewline
0.78 & 22.2379857749598 & 0.0436160291920468 \tabularnewline
0.79 & 22.246299810274 & 0.0410450852346846 \tabularnewline
0.8 & 22.2541279403967 & 0.0378757628483052 \tabularnewline
0.81 & 22.2613877118487 & 0.0342664262269845 \tabularnewline
0.82 & 22.2680490456184 & 0.0304696750595828 \tabularnewline
0.83 & 22.2741523742346 & 0.0268077299262304 \tabularnewline
0.84 & 22.2798238634602 & 0.0236263689588284 \tabularnewline
0.85 & 22.2852836128765 & 0.0214434458509402 \tabularnewline
0.86 & 22.2908414502169 & 0.0207540258741983 \tabularnewline
0.87 & 22.2968743144464 & 0.0219279728193041 \tabularnewline
0.88 & 22.3037802696651 & 0.0249340682306548 \tabularnewline
0.89 & 22.311908152875 & 0.0292919613671603 \tabularnewline
0.9 & 22.3214697426076 & 0.0341722700921142 \tabularnewline
0.91 & 22.3324530817452 & 0.0385098715386256 \tabularnewline
0.92 & 22.3445689793888 & 0.0411635034970331 \tabularnewline
0.93 & 22.3572721110269 & 0.0411510013518188 \tabularnewline
0.94 & 22.3698928505025 & 0.0380254418356268 \tabularnewline
0.95 & 22.3818788181291 & 0.0322274677781236 \tabularnewline
0.96 & 22.3930568361413 & 0.0253610476710234 \tabularnewline
0.97 & 22.4036938390472 & 0.0203077827131655 \tabularnewline
0.98 & 22.414068204695 & 0.020305210533293 \tabularnewline
0.99 & 22.4235422052965 & 0.0248169082106376 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127240&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]20.9226368535764[/C][C]0.125282180830793[/C][/ROW]
[ROW][C]0.02[/C][C]20.9686270329692[/C][C]0.096948139530921[/C][/ROW]
[ROW][C]0.03[/C][C]21.0138519865026[/C][C]0.0740510700092555[/C][/ROW]
[ROW][C]0.04[/C][C]21.0515350243183[/C][C]0.0604543832083989[/C][/ROW]
[ROW][C]0.05[/C][C]21.0811392526961[/C][C]0.053545669309864[/C][/ROW]
[ROW][C]0.06[/C][C]21.1046170501655[/C][C]0.0496989261945589[/C][/ROW]
[ROW][C]0.07[/C][C]21.1240463945922[/C][C]0.0472819444803803[/C][/ROW]
[ROW][C]0.08[/C][C]21.1409278161764[/C][C]0.0460897650994379[/C][/ROW]
[ROW][C]0.09[/C][C]21.1562571398991[/C][C]0.0463249461907437[/C][/ROW]
[ROW][C]0.1[/C][C]21.17073958764[/C][C]0.0480415535217196[/C][/ROW]
[ROW][C]0.11[/C][C]21.1849352643811[/C][C]0.0512034741605326[/C][/ROW]
[ROW][C]0.12[/C][C]21.1993337330691[/C][C]0.0559232841907906[/C][/ROW]
[ROW][C]0.13[/C][C]21.2143931350789[/C][C]0.0624522954791218[/C][/ROW]
[ROW][C]0.14[/C][C]21.2305594238794[/C][C]0.0711964312169085[/C][/ROW]
[ROW][C]0.15[/C][C]21.2482637883057[/C][C]0.0822806633094698[/C][/ROW]
[ROW][C]0.16[/C][C]21.2678947869844[/C][C]0.095415412961678[/C][/ROW]
[ROW][C]0.17[/C][C]21.2897499785771[/C][C]0.10987954542081[/C][/ROW]
[ROW][C]0.18[/C][C]21.31398083611[/C][C]0.124622869461869[/C][/ROW]
[ROW][C]0.19[/C][C]21.340548731736[/C][C]0.138364866335797[/C][/ROW]
[ROW][C]0.2[/C][C]21.3692072694683[/C][C]0.149911800996896[/C][/ROW]
[ROW][C]0.21[/C][C]21.39951882225[/C][C]0.158359040558822[/C][/ROW]
[ROW][C]0.22[/C][C]21.4309038390361[/C][C]0.163085206215575[/C][/ROW]
[ROW][C]0.23[/C][C]21.462713369306[/C][C]0.164034800063017[/C][/ROW]
[ROW][C]0.24[/C][C]21.494310397397[/C][C]0.161550807439267[/C][/ROW]
[ROW][C]0.25[/C][C]21.5251447477954[/C][C]0.156352549714692[/C][/ROW]
[ROW][C]0.26[/C][C]21.5548090529372[/C][C]0.149457474540701[/C][/ROW]
[ROW][C]0.27[/C][C]21.5830683004001[/C][C]0.141933197486315[/C][/ROW]
[ROW][C]0.28[/C][C]21.6098612494029[/C][C]0.134815321023426[/C][/ROW]
[ROW][C]0.29[/C][C]21.635277156311[/C][C]0.128911028092337[/C][/ROW]
[ROW][C]0.3[/C][C]21.6595148644385[/C][C]0.124728402544279[/C][/ROW]
[ROW][C]0.31[/C][C]21.6828330287476[/C][C]0.122392370162831[/C][/ROW]
[ROW][C]0.32[/C][C]21.7055001650468[/C][C]0.121706615411691[/C][/ROW]
[ROW][C]0.33[/C][C]21.7277517481889[/C][C]0.12219111583772[/C][/ROW]
[ROW][C]0.34[/C][C]21.7497592795679[/C][C]0.123313054206296[/C][/ROW]
[ROW][C]0.35[/C][C]21.7716136394646[/C][C]0.12438347976073[/C][/ROW]
[ROW][C]0.36[/C][C]21.7933225824398[/C][C]0.124912172862328[/C][/ROW]
[ROW][C]0.37[/C][C]21.8148202462084[/C][C]0.124478421366271[/C][/ROW]
[ROW][C]0.38[/C][C]21.8359852183647[/C][C]0.122847638616213[/C][/ROW]
[ROW][C]0.39[/C][C]21.856663112292[/C][C]0.119993217856078[/C][/ROW]
[ROW][C]0.4[/C][C]21.8766897075634[/C][C]0.115925334497864[/C][/ROW]
[ROW][C]0.41[/C][C]21.8959113844213[/C][C]0.110842795723062[/C][/ROW]
[ROW][C]0.42[/C][C]21.9142006323492[/C][C]0.105034868887809[/C][/ROW]
[ROW][C]0.43[/C][C]21.9314656100302[/C][C]0.0987484110349799[/C][/ROW]
[ROW][C]0.44[/C][C]21.9476538531232[/C][C]0.0922572697473787[/C][/ROW]
[ROW][C]0.45[/C][C]21.9627510863149[/C][C]0.0857909535679089[/C][/ROW]
[ROW][C]0.46[/C][C]21.9767765908834[/C][C]0.0795840245096649[/C][/ROW]
[ROW][C]0.47[/C][C]21.9897766910522[/C][C]0.0737171434288546[/C][/ROW]
[ROW][C]0.48[/C][C]22.0018177160814[/C][C]0.0682730885126774[/C][/ROW]
[ROW][C]0.49[/C][C]22.0129793914342[/C][C]0.063339209732554[/C][/ROW]
[ROW][C]0.5[/C][C]22.023349153159[/C][C]0.0589139329678903[/C][/ROW]
[ROW][C]0.51[/C][C]22.033017490123[/C][C]0.054997127513447[/C][/ROW]
[ROW][C]0.52[/C][C]22.0420741793991[/C][C]0.0516113690003038[/C][/ROW]
[ROW][C]0.53[/C][C]22.0506052134271[/C][C]0.0487177306711032[/C][/ROW]
[ROW][C]0.54[/C][C]22.0586902915773[/C][C]0.0462662585309419[/C][/ROW]
[ROW][C]0.55[/C][C]22.0664008946003[/C][C]0.0442567219406156[/C][/ROW]
[ROW][C]0.56[/C][C]22.0737990975827[/C][C]0.0425842089120019[/C][/ROW]
[ROW][C]0.57[/C][C]22.0809373384258[/C][C]0.0411754469388029[/C][/ROW]
[ROW][C]0.58[/C][C]22.0878593096513[/C][C]0.0399565548378198[/C][/ROW]
[ROW][C]0.59[/C][C]22.0946019865001[/C][C]0.0388836310060866[/C][/ROW]
[ROW][C]0.6[/C][C]22.1011985844246[/C][C]0.0379560367510747[/C][/ROW]
[ROW][C]0.61[/C][C]22.10768201647[/C][C]0.0371257043367567[/C][/ROW]
[ROW][C]0.62[/C][C]22.1140882604759[/C][C]0.0364657005824467[/C][/ROW]
[ROW][C]0.63[/C][C]22.1204589960155[/C][C]0.0360241462642526[/C][/ROW]
[ROW][C]0.64[/C][C]22.1268429504458[/C][C]0.0358659657129269[/C][/ROW]
[ROW][C]0.65[/C][C]22.1332955873327[/C][C]0.0360622809561616[/C][/ROW]
[ROW][C]0.66[/C][C]22.1398770352245[/C][C]0.0366079017626501[/C][/ROW]
[ROW][C]0.67[/C][C]22.1466484313859[/C][C]0.0375201785316819[/C][/ROW]
[ROW][C]0.68[/C][C]22.1536670864448[/C][C]0.0387628010940831[/C][/ROW]
[ROW][C]0.69[/C][C]22.1609810220201[/C][C]0.0402582788166388[/C][/ROW]
[ROW][C]0.7[/C][C]22.1686234810994[/C][C]0.0418540562257696[/C][/ROW]
[ROW][C]0.71[/C][C]22.1766079744596[/C][C]0.0434544242706835[/C][/ROW]
[ROW][C]0.72[/C][C]22.1849243396602[/C][C]0.0449221444117478[/C][/ROW]
[ROW][C]0.73[/C][C]22.1935361922054[/C][C]0.0460967528043727[/C][/ROW]
[ROW][C]0.74[/C][C]22.2023800737719[/C][C]0.0468613789850693[/C][/ROW]
[ROW][C]0.75[/C][C]22.2113665646059[/C][C]0.0470675768241727[/C][/ROW]
[ROW][C]0.76[/C][C]22.2203836202051[/C][C]0.0466335903578451[/C][/ROW]
[ROW][C]0.77[/C][C]22.2293023930026[/C][C]0.0454906991793049[/C][/ROW]
[ROW][C]0.78[/C][C]22.2379857749598[/C][C]0.0436160291920468[/C][/ROW]
[ROW][C]0.79[/C][C]22.246299810274[/C][C]0.0410450852346846[/C][/ROW]
[ROW][C]0.8[/C][C]22.2541279403967[/C][C]0.0378757628483052[/C][/ROW]
[ROW][C]0.81[/C][C]22.2613877118487[/C][C]0.0342664262269845[/C][/ROW]
[ROW][C]0.82[/C][C]22.2680490456184[/C][C]0.0304696750595828[/C][/ROW]
[ROW][C]0.83[/C][C]22.2741523742346[/C][C]0.0268077299262304[/C][/ROW]
[ROW][C]0.84[/C][C]22.2798238634602[/C][C]0.0236263689588284[/C][/ROW]
[ROW][C]0.85[/C][C]22.2852836128765[/C][C]0.0214434458509402[/C][/ROW]
[ROW][C]0.86[/C][C]22.2908414502169[/C][C]0.0207540258741983[/C][/ROW]
[ROW][C]0.87[/C][C]22.2968743144464[/C][C]0.0219279728193041[/C][/ROW]
[ROW][C]0.88[/C][C]22.3037802696651[/C][C]0.0249340682306548[/C][/ROW]
[ROW][C]0.89[/C][C]22.311908152875[/C][C]0.0292919613671603[/C][/ROW]
[ROW][C]0.9[/C][C]22.3214697426076[/C][C]0.0341722700921142[/C][/ROW]
[ROW][C]0.91[/C][C]22.3324530817452[/C][C]0.0385098715386256[/C][/ROW]
[ROW][C]0.92[/C][C]22.3445689793888[/C][C]0.0411635034970331[/C][/ROW]
[ROW][C]0.93[/C][C]22.3572721110269[/C][C]0.0411510013518188[/C][/ROW]
[ROW][C]0.94[/C][C]22.3698928505025[/C][C]0.0380254418356268[/C][/ROW]
[ROW][C]0.95[/C][C]22.3818788181291[/C][C]0.0322274677781236[/C][/ROW]
[ROW][C]0.96[/C][C]22.3930568361413[/C][C]0.0253610476710234[/C][/ROW]
[ROW][C]0.97[/C][C]22.4036938390472[/C][C]0.0203077827131655[/C][/ROW]
[ROW][C]0.98[/C][C]22.414068204695[/C][C]0.020305210533293[/C][/ROW]
[ROW][C]0.99[/C][C]22.4235422052965[/C][C]0.0248169082106376[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127240&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127240&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
0.0120.92263685357640.125282180830793
0.0220.96862703296920.096948139530921
0.0321.01385198650260.0740510700092555
0.0421.05153502431830.0604543832083989
0.0521.08113925269610.053545669309864
0.0621.10461705016550.0496989261945589
0.0721.12404639459220.0472819444803803
0.0821.14092781617640.0460897650994379
0.0921.15625713989910.0463249461907437
0.121.170739587640.0480415535217196
0.1121.18493526438110.0512034741605326
0.1221.19933373306910.0559232841907906
0.1321.21439313507890.0624522954791218
0.1421.23055942387940.0711964312169085
0.1521.24826378830570.0822806633094698
0.1621.26789478698440.095415412961678
0.1721.28974997857710.10987954542081
0.1821.313980836110.124622869461869
0.1921.3405487317360.138364866335797
0.221.36920726946830.149911800996896
0.2121.399518822250.158359040558822
0.2221.43090383903610.163085206215575
0.2321.4627133693060.164034800063017
0.2421.4943103973970.161550807439267
0.2521.52514474779540.156352549714692
0.2621.55480905293720.149457474540701
0.2721.58306830040010.141933197486315
0.2821.60986124940290.134815321023426
0.2921.6352771563110.128911028092337
0.321.65951486443850.124728402544279
0.3121.68283302874760.122392370162831
0.3221.70550016504680.121706615411691
0.3321.72775174818890.12219111583772
0.3421.74975927956790.123313054206296
0.3521.77161363946460.12438347976073
0.3621.79332258243980.124912172862328
0.3721.81482024620840.124478421366271
0.3821.83598521836470.122847638616213
0.3921.8566631122920.119993217856078
0.421.87668970756340.115925334497864
0.4121.89591138442130.110842795723062
0.4221.91420063234920.105034868887809
0.4321.93146561003020.0987484110349799
0.4421.94765385312320.0922572697473787
0.4521.96275108631490.0857909535679089
0.4621.97677659088340.0795840245096649
0.4721.98977669105220.0737171434288546
0.4822.00181771608140.0682730885126774
0.4922.01297939143420.063339209732554
0.522.0233491531590.0589139329678903
0.5122.0330174901230.054997127513447
0.5222.04207417939910.0516113690003038
0.5322.05060521342710.0487177306711032
0.5422.05869029157730.0462662585309419
0.5522.06640089460030.0442567219406156
0.5622.07379909758270.0425842089120019
0.5722.08093733842580.0411754469388029
0.5822.08785930965130.0399565548378198
0.5922.09460198650010.0388836310060866
0.622.10119858442460.0379560367510747
0.6122.107682016470.0371257043367567
0.6222.11408826047590.0364657005824467
0.6322.12045899601550.0360241462642526
0.6422.12684295044580.0358659657129269
0.6522.13329558733270.0360622809561616
0.6622.13987703522450.0366079017626501
0.6722.14664843138590.0375201785316819
0.6822.15366708644480.0387628010940831
0.6922.16098102202010.0402582788166388
0.722.16862348109940.0418540562257696
0.7122.17660797445960.0434544242706835
0.7222.18492433966020.0449221444117478
0.7322.19353619220540.0460967528043727
0.7422.20238007377190.0468613789850693
0.7522.21136656460590.0470675768241727
0.7622.22038362020510.0466335903578451
0.7722.22930239300260.0454906991793049
0.7822.23798577495980.0436160291920468
0.7922.2462998102740.0410450852346846
0.822.25412794039670.0378757628483052
0.8122.26138771184870.0342664262269845
0.8222.26804904561840.0304696750595828
0.8322.27415237423460.0268077299262304
0.8422.27982386346020.0236263689588284
0.8522.28528361287650.0214434458509402
0.8622.29084145021690.0207540258741983
0.8722.29687431444640.0219279728193041
0.8822.30378026966510.0249340682306548
0.8922.3119081528750.0292919613671603
0.922.32146974260760.0341722700921142
0.9122.33245308174520.0385098715386256
0.9222.34456897938880.0411635034970331
0.9322.35727211102690.0411510013518188
0.9422.36989285050250.0380254418356268
0.9522.38187881812910.0322274677781236
0.9622.39305683614130.0253610476710234
0.9722.40369383904720.0203077827131655
0.9822.4140682046950.020305210533293
0.9922.42354220529650.0248169082106376


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')