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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 computationWed, 12 Oct 2011 07:12:02 -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/12/t13184180464gbsujfrkmuhuwr.htm/, Retrieved Fri, 10 May 2024 05:09:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128305, Retrieved Fri, 10 May 2024 05:09:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact93

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] [Evolutie prijzen ...] [2011-10-12 11:12:02] [f7653f7e39425878158499028a118a95] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5,82
5,85
5,87
5,88
5,9
5,91
5,94
5,97
5,98
6
6,01
6,02
6,11
6,13
6,15
6,15
6,16
6,18
6,21
6,22
6,23
6,26
6,28
6,28
6,29
6,32
6,36
6,37
6,38
6,38
6,4
6,41
6,42
6,43
6,44
6,47
6,47
6,48
6,51
6,54
6,56
6,57
6,6
6,62
6,65
6,71
6,76
6,78
6,8
6,83
6,86
6,86
6,87
6,88
6,9
6,92
6,93
6,94
6,96
6,98
6,99
7,01
7,06
7,07
7,08
7,08
7,1
7,11
7,22
7,24
7,25
7,26

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=128305&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=128305&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128305&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
0.015.829527036153380.0269032725248631
0.025.843766262450390.024509224802459
0.035.858508030066890.0241659299552856
0.045.872251475438040.0259662522154342
0.055.885266661368710.0293976125277278
0.065.898217479919030.0337062089195262
0.075.91155925253880.0381766522010705
0.085.925466150267420.0423343205594956
0.095.939935809258920.0460733423390123
0.15.954907186063480.0495732772862284
0.115.970337598657340.053163451542378
0.125.986226409594270.0570746820503848
0.136.002593630683020.0612518141103611
0.146.019435411151350.0653197242953755
0.156.036682799171250.0687759343289302
0.166.054184077631620.0711183397914629
0.176.071718021107690.0720792147959658
0.186.089031932566010.0716443108554931
0.196.10588973613050.0700826337674458
0.26.12211400511740.0678182026901284
0.216.137610493889630.0653467029285617
0.226.152371354079650.0631053705039222
0.236.16646032068760.0613606174858938
0.246.179987440706640.060241378330951
0.256.193081732060440.0597083284884851
0.266.205868248643230.0596594772555523
0.276.218452832914140.0599456163427226
0.286.230914775787250.0604196965267667
0.296.243305582804410.0609703346863998
0.36.255651330538210.0615108490326872
0.316.267956440040.0619611763886315
0.326.280207590713110.0622522580416452
0.336.29237743705140.0623079402175729
0.346.304428418867510.0620840290342535
0.356.316317137790890.0615488218750059
0.366.327999567304630.0606955728423938
0.376.339436948227030.0595861414401073
0.386.3506018058110.0582824501412103
0.396.361483275628860.0569131497609201
0.46.3720909240110.0556086767963933
0.416.382456481310010.0545315892573482
0.426.392633286508990.0537895565772807
0.436.402693651123640.0535082970334823
0.446.412724680166150.0537588257234115
0.456.422823269581850.054564210617448
0.466.433091015897910.0559407680061291
0.476.443629651452070.0578536270572872
0.486.45453740837680.060264840437565
0.496.465906470276420.063133625524846
0.56.477821434307780.0664000572227073
0.516.49035850464180.0700110876965474
0.526.503584987371640.0739066842472427
0.536.517558572015070.0780645047204625
0.546.532325885524160.0823987018455419
0.556.547919912913380.0868482236070626
0.566.564356107094630.0913228465262133
0.576.581627348227930.0956857312842612
0.586.599698313611420.0997664244004463
0.596.618500201174650.103372953533968
0.66.637927010599280.106281098382576
0.616.657834630087720.108263760852768
0.626.678043746112320.109142362443716
0.636.698347093253820.10877073682562
0.646.718520867380380.107089074884191
0.656.73833937131630.104117893125905
0.666.757591307554860.0999921379075724
0.676.776095724187270.0949278496601024
0.686.793715555983350.0892014611733023
0.696.810367009150640.0831294148555982
0.76.826023666007280.0770468913214556
0.716.840715019099910.0712563856290564
0.726.854520023297420.0660054949069607
0.736.8675570023720.0614897755293738
0.746.879971700606320.0578124201370758
0.756.891925313115380.0549922971267733
0.766.903583921830580.0530008659851408
0.776.915109973822830.0517623654437456
0.786.926655452842110.0511794488408911
0.796.938355518855990.0511495147119073
0.86.950321009087130.0515514908346648
0.816.962628688297470.0522145938627482
0.826.975309742205010.0529294448732125
0.836.988339634009590.0534288434599908
0.847.001635490574460.0534135882246378
0.857.015069454829770.0526352337541155
0.867.028506225845770.0509775669304646
0.877.041868398096540.0485990433908537
0.887.055222669717740.0460162078938011
0.897.068863365277360.0441755074594868
0.97.083350097071150.0443051067660773
0.917.099442865216540.0473582774363618
0.927.117887439290750.0531341434257872
0.937.139056830838940.0597627267743322
0.947.162556930136070.064087787257355
0.957.18701727872090.0628056335399217
0.967.21030964713090.0541997414034518
0.977.230243010000540.0397172566061217
0.987.245370189021220.02404966896646
0.997.255246913725910.0131612713039128

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.82952703615338 & 0.0269032725248631 \tabularnewline
0.02 & 5.84376626245039 & 0.024509224802459 \tabularnewline
0.03 & 5.85850803006689 & 0.0241659299552856 \tabularnewline
0.04 & 5.87225147543804 & 0.0259662522154342 \tabularnewline
0.05 & 5.88526666136871 & 0.0293976125277278 \tabularnewline
0.06 & 5.89821747991903 & 0.0337062089195262 \tabularnewline
0.07 & 5.9115592525388 & 0.0381766522010705 \tabularnewline
0.08 & 5.92546615026742 & 0.0423343205594956 \tabularnewline
0.09 & 5.93993580925892 & 0.0460733423390123 \tabularnewline
0.1 & 5.95490718606348 & 0.0495732772862284 \tabularnewline
0.11 & 5.97033759865734 & 0.053163451542378 \tabularnewline
0.12 & 5.98622640959427 & 0.0570746820503848 \tabularnewline
0.13 & 6.00259363068302 & 0.0612518141103611 \tabularnewline
0.14 & 6.01943541115135 & 0.0653197242953755 \tabularnewline
0.15 & 6.03668279917125 & 0.0687759343289302 \tabularnewline
0.16 & 6.05418407763162 & 0.0711183397914629 \tabularnewline
0.17 & 6.07171802110769 & 0.0720792147959658 \tabularnewline
0.18 & 6.08903193256601 & 0.0716443108554931 \tabularnewline
0.19 & 6.1058897361305 & 0.0700826337674458 \tabularnewline
0.2 & 6.1221140051174 & 0.0678182026901284 \tabularnewline
0.21 & 6.13761049388963 & 0.0653467029285617 \tabularnewline
0.22 & 6.15237135407965 & 0.0631053705039222 \tabularnewline
0.23 & 6.1664603206876 & 0.0613606174858938 \tabularnewline
0.24 & 6.17998744070664 & 0.060241378330951 \tabularnewline
0.25 & 6.19308173206044 & 0.0597083284884851 \tabularnewline
0.26 & 6.20586824864323 & 0.0596594772555523 \tabularnewline
0.27 & 6.21845283291414 & 0.0599456163427226 \tabularnewline
0.28 & 6.23091477578725 & 0.0604196965267667 \tabularnewline
0.29 & 6.24330558280441 & 0.0609703346863998 \tabularnewline
0.3 & 6.25565133053821 & 0.0615108490326872 \tabularnewline
0.31 & 6.26795644004 & 0.0619611763886315 \tabularnewline
0.32 & 6.28020759071311 & 0.0622522580416452 \tabularnewline
0.33 & 6.2923774370514 & 0.0623079402175729 \tabularnewline
0.34 & 6.30442841886751 & 0.0620840290342535 \tabularnewline
0.35 & 6.31631713779089 & 0.0615488218750059 \tabularnewline
0.36 & 6.32799956730463 & 0.0606955728423938 \tabularnewline
0.37 & 6.33943694822703 & 0.0595861414401073 \tabularnewline
0.38 & 6.350601805811 & 0.0582824501412103 \tabularnewline
0.39 & 6.36148327562886 & 0.0569131497609201 \tabularnewline
0.4 & 6.372090924011 & 0.0556086767963933 \tabularnewline
0.41 & 6.38245648131001 & 0.0545315892573482 \tabularnewline
0.42 & 6.39263328650899 & 0.0537895565772807 \tabularnewline
0.43 & 6.40269365112364 & 0.0535082970334823 \tabularnewline
0.44 & 6.41272468016615 & 0.0537588257234115 \tabularnewline
0.45 & 6.42282326958185 & 0.054564210617448 \tabularnewline
0.46 & 6.43309101589791 & 0.0559407680061291 \tabularnewline
0.47 & 6.44362965145207 & 0.0578536270572872 \tabularnewline
0.48 & 6.4545374083768 & 0.060264840437565 \tabularnewline
0.49 & 6.46590647027642 & 0.063133625524846 \tabularnewline
0.5 & 6.47782143430778 & 0.0664000572227073 \tabularnewline
0.51 & 6.4903585046418 & 0.0700110876965474 \tabularnewline
0.52 & 6.50358498737164 & 0.0739066842472427 \tabularnewline
0.53 & 6.51755857201507 & 0.0780645047204625 \tabularnewline
0.54 & 6.53232588552416 & 0.0823987018455419 \tabularnewline
0.55 & 6.54791991291338 & 0.0868482236070626 \tabularnewline
0.56 & 6.56435610709463 & 0.0913228465262133 \tabularnewline
0.57 & 6.58162734822793 & 0.0956857312842612 \tabularnewline
0.58 & 6.59969831361142 & 0.0997664244004463 \tabularnewline
0.59 & 6.61850020117465 & 0.103372953533968 \tabularnewline
0.6 & 6.63792701059928 & 0.106281098382576 \tabularnewline
0.61 & 6.65783463008772 & 0.108263760852768 \tabularnewline
0.62 & 6.67804374611232 & 0.109142362443716 \tabularnewline
0.63 & 6.69834709325382 & 0.10877073682562 \tabularnewline
0.64 & 6.71852086738038 & 0.107089074884191 \tabularnewline
0.65 & 6.7383393713163 & 0.104117893125905 \tabularnewline
0.66 & 6.75759130755486 & 0.0999921379075724 \tabularnewline
0.67 & 6.77609572418727 & 0.0949278496601024 \tabularnewline
0.68 & 6.79371555598335 & 0.0892014611733023 \tabularnewline
0.69 & 6.81036700915064 & 0.0831294148555982 \tabularnewline
0.7 & 6.82602366600728 & 0.0770468913214556 \tabularnewline
0.71 & 6.84071501909991 & 0.0712563856290564 \tabularnewline
0.72 & 6.85452002329742 & 0.0660054949069607 \tabularnewline
0.73 & 6.867557002372 & 0.0614897755293738 \tabularnewline
0.74 & 6.87997170060632 & 0.0578124201370758 \tabularnewline
0.75 & 6.89192531311538 & 0.0549922971267733 \tabularnewline
0.76 & 6.90358392183058 & 0.0530008659851408 \tabularnewline
0.77 & 6.91510997382283 & 0.0517623654437456 \tabularnewline
0.78 & 6.92665545284211 & 0.0511794488408911 \tabularnewline
0.79 & 6.93835551885599 & 0.0511495147119073 \tabularnewline
0.8 & 6.95032100908713 & 0.0515514908346648 \tabularnewline
0.81 & 6.96262868829747 & 0.0522145938627482 \tabularnewline
0.82 & 6.97530974220501 & 0.0529294448732125 \tabularnewline
0.83 & 6.98833963400959 & 0.0534288434599908 \tabularnewline
0.84 & 7.00163549057446 & 0.0534135882246378 \tabularnewline
0.85 & 7.01506945482977 & 0.0526352337541155 \tabularnewline
0.86 & 7.02850622584577 & 0.0509775669304646 \tabularnewline
0.87 & 7.04186839809654 & 0.0485990433908537 \tabularnewline
0.88 & 7.05522266971774 & 0.0460162078938011 \tabularnewline
0.89 & 7.06886336527736 & 0.0441755074594868 \tabularnewline
0.9 & 7.08335009707115 & 0.0443051067660773 \tabularnewline
0.91 & 7.09944286521654 & 0.0473582774363618 \tabularnewline
0.92 & 7.11788743929075 & 0.0531341434257872 \tabularnewline
0.93 & 7.13905683083894 & 0.0597627267743322 \tabularnewline
0.94 & 7.16255693013607 & 0.064087787257355 \tabularnewline
0.95 & 7.1870172787209 & 0.0628056335399217 \tabularnewline
0.96 & 7.2103096471309 & 0.0541997414034518 \tabularnewline
0.97 & 7.23024301000054 & 0.0397172566061217 \tabularnewline
0.98 & 7.24537018902122 & 0.02404966896646 \tabularnewline
0.99 & 7.25524691372591 & 0.0131612713039128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128305&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]5.82952703615338[/C][C]0.0269032725248631[/C][/ROW]
[ROW][C]0.02[/C][C]5.84376626245039[/C][C]0.024509224802459[/C][/ROW]
[ROW][C]0.03[/C][C]5.85850803006689[/C][C]0.0241659299552856[/C][/ROW]
[ROW][C]0.04[/C][C]5.87225147543804[/C][C]0.0259662522154342[/C][/ROW]
[ROW][C]0.05[/C][C]5.88526666136871[/C][C]0.0293976125277278[/C][/ROW]
[ROW][C]0.06[/C][C]5.89821747991903[/C][C]0.0337062089195262[/C][/ROW]
[ROW][C]0.07[/C][C]5.9115592525388[/C][C]0.0381766522010705[/C][/ROW]
[ROW][C]0.08[/C][C]5.92546615026742[/C][C]0.0423343205594956[/C][/ROW]
[ROW][C]0.09[/C][C]5.93993580925892[/C][C]0.0460733423390123[/C][/ROW]
[ROW][C]0.1[/C][C]5.95490718606348[/C][C]0.0495732772862284[/C][/ROW]
[ROW][C]0.11[/C][C]5.97033759865734[/C][C]0.053163451542378[/C][/ROW]
[ROW][C]0.12[/C][C]5.98622640959427[/C][C]0.0570746820503848[/C][/ROW]
[ROW][C]0.13[/C][C]6.00259363068302[/C][C]0.0612518141103611[/C][/ROW]
[ROW][C]0.14[/C][C]6.01943541115135[/C][C]0.0653197242953755[/C][/ROW]
[ROW][C]0.15[/C][C]6.03668279917125[/C][C]0.0687759343289302[/C][/ROW]
[ROW][C]0.16[/C][C]6.05418407763162[/C][C]0.0711183397914629[/C][/ROW]
[ROW][C]0.17[/C][C]6.07171802110769[/C][C]0.0720792147959658[/C][/ROW]
[ROW][C]0.18[/C][C]6.08903193256601[/C][C]0.0716443108554931[/C][/ROW]
[ROW][C]0.19[/C][C]6.1058897361305[/C][C]0.0700826337674458[/C][/ROW]
[ROW][C]0.2[/C][C]6.1221140051174[/C][C]0.0678182026901284[/C][/ROW]
[ROW][C]0.21[/C][C]6.13761049388963[/C][C]0.0653467029285617[/C][/ROW]
[ROW][C]0.22[/C][C]6.15237135407965[/C][C]0.0631053705039222[/C][/ROW]
[ROW][C]0.23[/C][C]6.1664603206876[/C][C]0.0613606174858938[/C][/ROW]
[ROW][C]0.24[/C][C]6.17998744070664[/C][C]0.060241378330951[/C][/ROW]
[ROW][C]0.25[/C][C]6.19308173206044[/C][C]0.0597083284884851[/C][/ROW]
[ROW][C]0.26[/C][C]6.20586824864323[/C][C]0.0596594772555523[/C][/ROW]
[ROW][C]0.27[/C][C]6.21845283291414[/C][C]0.0599456163427226[/C][/ROW]
[ROW][C]0.28[/C][C]6.23091477578725[/C][C]0.0604196965267667[/C][/ROW]
[ROW][C]0.29[/C][C]6.24330558280441[/C][C]0.0609703346863998[/C][/ROW]
[ROW][C]0.3[/C][C]6.25565133053821[/C][C]0.0615108490326872[/C][/ROW]
[ROW][C]0.31[/C][C]6.26795644004[/C][C]0.0619611763886315[/C][/ROW]
[ROW][C]0.32[/C][C]6.28020759071311[/C][C]0.0622522580416452[/C][/ROW]
[ROW][C]0.33[/C][C]6.2923774370514[/C][C]0.0623079402175729[/C][/ROW]
[ROW][C]0.34[/C][C]6.30442841886751[/C][C]0.0620840290342535[/C][/ROW]
[ROW][C]0.35[/C][C]6.31631713779089[/C][C]0.0615488218750059[/C][/ROW]
[ROW][C]0.36[/C][C]6.32799956730463[/C][C]0.0606955728423938[/C][/ROW]
[ROW][C]0.37[/C][C]6.33943694822703[/C][C]0.0595861414401073[/C][/ROW]
[ROW][C]0.38[/C][C]6.350601805811[/C][C]0.0582824501412103[/C][/ROW]
[ROW][C]0.39[/C][C]6.36148327562886[/C][C]0.0569131497609201[/C][/ROW]
[ROW][C]0.4[/C][C]6.372090924011[/C][C]0.0556086767963933[/C][/ROW]
[ROW][C]0.41[/C][C]6.38245648131001[/C][C]0.0545315892573482[/C][/ROW]
[ROW][C]0.42[/C][C]6.39263328650899[/C][C]0.0537895565772807[/C][/ROW]
[ROW][C]0.43[/C][C]6.40269365112364[/C][C]0.0535082970334823[/C][/ROW]
[ROW][C]0.44[/C][C]6.41272468016615[/C][C]0.0537588257234115[/C][/ROW]
[ROW][C]0.45[/C][C]6.42282326958185[/C][C]0.054564210617448[/C][/ROW]
[ROW][C]0.46[/C][C]6.43309101589791[/C][C]0.0559407680061291[/C][/ROW]
[ROW][C]0.47[/C][C]6.44362965145207[/C][C]0.0578536270572872[/C][/ROW]
[ROW][C]0.48[/C][C]6.4545374083768[/C][C]0.060264840437565[/C][/ROW]
[ROW][C]0.49[/C][C]6.46590647027642[/C][C]0.063133625524846[/C][/ROW]
[ROW][C]0.5[/C][C]6.47782143430778[/C][C]0.0664000572227073[/C][/ROW]
[ROW][C]0.51[/C][C]6.4903585046418[/C][C]0.0700110876965474[/C][/ROW]
[ROW][C]0.52[/C][C]6.50358498737164[/C][C]0.0739066842472427[/C][/ROW]
[ROW][C]0.53[/C][C]6.51755857201507[/C][C]0.0780645047204625[/C][/ROW]
[ROW][C]0.54[/C][C]6.53232588552416[/C][C]0.0823987018455419[/C][/ROW]
[ROW][C]0.55[/C][C]6.54791991291338[/C][C]0.0868482236070626[/C][/ROW]
[ROW][C]0.56[/C][C]6.56435610709463[/C][C]0.0913228465262133[/C][/ROW]
[ROW][C]0.57[/C][C]6.58162734822793[/C][C]0.0956857312842612[/C][/ROW]
[ROW][C]0.58[/C][C]6.59969831361142[/C][C]0.0997664244004463[/C][/ROW]
[ROW][C]0.59[/C][C]6.61850020117465[/C][C]0.103372953533968[/C][/ROW]
[ROW][C]0.6[/C][C]6.63792701059928[/C][C]0.106281098382576[/C][/ROW]
[ROW][C]0.61[/C][C]6.65783463008772[/C][C]0.108263760852768[/C][/ROW]
[ROW][C]0.62[/C][C]6.67804374611232[/C][C]0.109142362443716[/C][/ROW]
[ROW][C]0.63[/C][C]6.69834709325382[/C][C]0.10877073682562[/C][/ROW]
[ROW][C]0.64[/C][C]6.71852086738038[/C][C]0.107089074884191[/C][/ROW]
[ROW][C]0.65[/C][C]6.7383393713163[/C][C]0.104117893125905[/C][/ROW]
[ROW][C]0.66[/C][C]6.75759130755486[/C][C]0.0999921379075724[/C][/ROW]
[ROW][C]0.67[/C][C]6.77609572418727[/C][C]0.0949278496601024[/C][/ROW]
[ROW][C]0.68[/C][C]6.79371555598335[/C][C]0.0892014611733023[/C][/ROW]
[ROW][C]0.69[/C][C]6.81036700915064[/C][C]0.0831294148555982[/C][/ROW]
[ROW][C]0.7[/C][C]6.82602366600728[/C][C]0.0770468913214556[/C][/ROW]
[ROW][C]0.71[/C][C]6.84071501909991[/C][C]0.0712563856290564[/C][/ROW]
[ROW][C]0.72[/C][C]6.85452002329742[/C][C]0.0660054949069607[/C][/ROW]
[ROW][C]0.73[/C][C]6.867557002372[/C][C]0.0614897755293738[/C][/ROW]
[ROW][C]0.74[/C][C]6.87997170060632[/C][C]0.0578124201370758[/C][/ROW]
[ROW][C]0.75[/C][C]6.89192531311538[/C][C]0.0549922971267733[/C][/ROW]
[ROW][C]0.76[/C][C]6.90358392183058[/C][C]0.0530008659851408[/C][/ROW]
[ROW][C]0.77[/C][C]6.91510997382283[/C][C]0.0517623654437456[/C][/ROW]
[ROW][C]0.78[/C][C]6.92665545284211[/C][C]0.0511794488408911[/C][/ROW]
[ROW][C]0.79[/C][C]6.93835551885599[/C][C]0.0511495147119073[/C][/ROW]
[ROW][C]0.8[/C][C]6.95032100908713[/C][C]0.0515514908346648[/C][/ROW]
[ROW][C]0.81[/C][C]6.96262868829747[/C][C]0.0522145938627482[/C][/ROW]
[ROW][C]0.82[/C][C]6.97530974220501[/C][C]0.0529294448732125[/C][/ROW]
[ROW][C]0.83[/C][C]6.98833963400959[/C][C]0.0534288434599908[/C][/ROW]
[ROW][C]0.84[/C][C]7.00163549057446[/C][C]0.0534135882246378[/C][/ROW]
[ROW][C]0.85[/C][C]7.01506945482977[/C][C]0.0526352337541155[/C][/ROW]
[ROW][C]0.86[/C][C]7.02850622584577[/C][C]0.0509775669304646[/C][/ROW]
[ROW][C]0.87[/C][C]7.04186839809654[/C][C]0.0485990433908537[/C][/ROW]
[ROW][C]0.88[/C][C]7.05522266971774[/C][C]0.0460162078938011[/C][/ROW]
[ROW][C]0.89[/C][C]7.06886336527736[/C][C]0.0441755074594868[/C][/ROW]
[ROW][C]0.9[/C][C]7.08335009707115[/C][C]0.0443051067660773[/C][/ROW]
[ROW][C]0.91[/C][C]7.09944286521654[/C][C]0.0473582774363618[/C][/ROW]
[ROW][C]0.92[/C][C]7.11788743929075[/C][C]0.0531341434257872[/C][/ROW]
[ROW][C]0.93[/C][C]7.13905683083894[/C][C]0.0597627267743322[/C][/ROW]
[ROW][C]0.94[/C][C]7.16255693013607[/C][C]0.064087787257355[/C][/ROW]
[ROW][C]0.95[/C][C]7.1870172787209[/C][C]0.0628056335399217[/C][/ROW]
[ROW][C]0.96[/C][C]7.2103096471309[/C][C]0.0541997414034518[/C][/ROW]
[ROW][C]0.97[/C][C]7.23024301000054[/C][C]0.0397172566061217[/C][/ROW]
[ROW][C]0.98[/C][C]7.24537018902122[/C][C]0.02404966896646[/C][/ROW]
[ROW][C]0.99[/C][C]7.25524691372591[/C][C]0.0131612713039128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128305&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128305&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.829527036153380.0269032725248631
0.025.843766262450390.024509224802459
0.035.858508030066890.0241659299552856
0.045.872251475438040.0259662522154342
0.055.885266661368710.0293976125277278
0.065.898217479919030.0337062089195262
0.075.91155925253880.0381766522010705
0.085.925466150267420.0423343205594956
0.095.939935809258920.0460733423390123
0.15.954907186063480.0495732772862284
0.115.970337598657340.053163451542378
0.125.986226409594270.0570746820503848
0.136.002593630683020.0612518141103611
0.146.019435411151350.0653197242953755
0.156.036682799171250.0687759343289302
0.166.054184077631620.0711183397914629
0.176.071718021107690.0720792147959658
0.186.089031932566010.0716443108554931
0.196.10588973613050.0700826337674458
0.26.12211400511740.0678182026901284
0.216.137610493889630.0653467029285617
0.226.152371354079650.0631053705039222
0.236.16646032068760.0613606174858938
0.246.179987440706640.060241378330951
0.256.193081732060440.0597083284884851
0.266.205868248643230.0596594772555523
0.276.218452832914140.0599456163427226
0.286.230914775787250.0604196965267667
0.296.243305582804410.0609703346863998
0.36.255651330538210.0615108490326872
0.316.267956440040.0619611763886315
0.326.280207590713110.0622522580416452
0.336.29237743705140.0623079402175729
0.346.304428418867510.0620840290342535
0.356.316317137790890.0615488218750059
0.366.327999567304630.0606955728423938
0.376.339436948227030.0595861414401073
0.386.3506018058110.0582824501412103
0.396.361483275628860.0569131497609201
0.46.3720909240110.0556086767963933
0.416.382456481310010.0545315892573482
0.426.392633286508990.0537895565772807
0.436.402693651123640.0535082970334823
0.446.412724680166150.0537588257234115
0.456.422823269581850.054564210617448
0.466.433091015897910.0559407680061291
0.476.443629651452070.0578536270572872
0.486.45453740837680.060264840437565
0.496.465906470276420.063133625524846
0.56.477821434307780.0664000572227073
0.516.49035850464180.0700110876965474
0.526.503584987371640.0739066842472427
0.536.517558572015070.0780645047204625
0.546.532325885524160.0823987018455419
0.556.547919912913380.0868482236070626
0.566.564356107094630.0913228465262133
0.576.581627348227930.0956857312842612
0.586.599698313611420.0997664244004463
0.596.618500201174650.103372953533968
0.66.637927010599280.106281098382576
0.616.657834630087720.108263760852768
0.626.678043746112320.109142362443716
0.636.698347093253820.10877073682562
0.646.718520867380380.107089074884191
0.656.73833937131630.104117893125905
0.666.757591307554860.0999921379075724
0.676.776095724187270.0949278496601024
0.686.793715555983350.0892014611733023
0.696.810367009150640.0831294148555982
0.76.826023666007280.0770468913214556
0.716.840715019099910.0712563856290564
0.726.854520023297420.0660054949069607
0.736.8675570023720.0614897755293738
0.746.879971700606320.0578124201370758
0.756.891925313115380.0549922971267733
0.766.903583921830580.0530008659851408
0.776.915109973822830.0517623654437456
0.786.926655452842110.0511794488408911
0.796.938355518855990.0511495147119073
0.86.950321009087130.0515514908346648
0.816.962628688297470.0522145938627482
0.826.975309742205010.0529294448732125
0.836.988339634009590.0534288434599908
0.847.001635490574460.0534135882246378
0.857.015069454829770.0526352337541155
0.867.028506225845770.0509775669304646
0.877.041868398096540.0485990433908537
0.887.055222669717740.0460162078938011
0.897.068863365277360.0441755074594868
0.97.083350097071150.0443051067660773
0.917.099442865216540.0473582774363618
0.927.117887439290750.0531341434257872
0.937.139056830838940.0597627267743322
0.947.162556930136070.064087787257355
0.957.18701727872090.0628056335399217
0.967.21030964713090.0541997414034518
0.977.230243010000540.0397172566061217
0.987.245370189021220.02404966896646
0.997.255246913725910.0131612713039128


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')