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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 computationSat, 18 Oct 2008 11:20:50 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/18/t1224350486p7rw7bk1fow9aij.htm/, Retrieved Sun, 19 May 2024 15:37:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16679, Retrieved Sun, 19 May 2024 15:37:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [Harrel davis deci...] [2008-10-18 16:19:32] [ea79f99c5895b39ae8bb6e8c563d0f54]
-   PD  [Harrell-Davis Quantiles] [Harrel davis deci...] [2008-10-18 17:17:36] [ea79f99c5895b39ae8bb6e8c563d0f54]
-   PD      [Harrell-Davis Quantiles] [Harrel davis perc...] [2008-10-18 17:20:50] [1eda150a0abaa7374d7583f55f7b1e6e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.9
102.9
102.9
102.9
104.2
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
104.7
106
107
107
107
107
107
107
107
107
107
107
107
107.6
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
110.6
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
121.27
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
128.35
128.35
128.35
128.35
128.35
128.35
128.35

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16679&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16679&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.9231746324190.0811161443969237
0.02103.0218253473160.299027020429554
0.03103.2350020161390.56253797446846
0.04103.5448907847980.717520351232803
0.05103.8851685233260.697526963652568
0.06104.1862896681060.55192162462823
0.07104.4108389912190.373027561323511
0.08104.5583095402320.229236203672915
0.09104.6505497002180.152760087661902
0.1104.7157778916580.157204373906168
0.11104.7794636116940.229555596493858
0.12104.8612696769120.347300180884493
0.13104.9745002328330.493234561518965
0.14105.1258015657500.646814523261771
0.15105.3148200153900.78373784503841
0.16105.5345131852040.881116161056662
0.17105.7727276871230.924149481310083
0.18106.0150108328960.910314193154864
0.19106.2479810530900.850014050454154
0.2106.4623021984660.764065745924629
0.21106.6544649559380.678534178890534
0.22106.8270205292480.619676816859063
0.23106.9873968737580.60815360093175
0.24107.1457695367470.651193145989065
0.25107.3125919894470.740188534057544
0.26107.4963505530770.856827483237827
0.27107.7019714028460.980058775743044
0.28107.9301313211031.08995795714659
0.29108.1775383570651.17120132176138
0.3108.4380655249541.21515153748968
0.31108.7044571014651.22182129047019
0.32108.9702120820021.20002606039181
0.33109.2312142693781.16584774615843
0.34109.4867397027871.13953114679018
0.35109.7396197345791.14109429201593
0.36109.9955368186971.18378057530923
0.37110.2616311496721.27018819893759
0.38110.5447522776181.39076504811559
0.39110.8497666511271.52765346770488
0.4111.178314992561.65972436188191
0.41111.5283080981181.76674107281608
0.42111.8942798121381.83340855389698
0.43112.2685189555651.85222015894559
0.44112.6427220423811.82514614913023
0.45113.0097872694061.76329104950585
0.46113.3653364365681.68520937425731
0.47113.7086136449961.6131529784359
0.48114.0425533658841.56911248658861
0.49114.3730021056231.56815322946065
0.5114.7072731774051.61427131010045
0.51115.0523687663451.69856049470433
0.52115.4132827818221.80251105450536
0.53115.7917834636771.90388154752747
0.54116.1859677703051.98130304084140
0.55116.5907018401842.01943610172445
0.56116.9988518139792.01151928940748
0.57117.4030152979751.96067082202650
0.58117.7973331890471.87989939020650
0.59118.1789292448861.78912625516605
0.6118.5486029574521.71127710496430
0.61118.9105752277841.66651383905300
0.62119.2713167004731.66578044585166
0.63119.6377202908451.70676358838
0.64120.0150545052121.77383417586255
0.65120.4052059532121.84331868513167
0.66120.8056649251561.88956651584733
0.67121.2095354856831.89121144570343
0.68121.6066018310291.83526677304073
0.69121.9852199541421.71975980542898
0.7122.3345985583101.55370020131437
0.71122.6469407667931.35515100782178
0.72122.9189599114081.14765982519864
0.73123.1524400318980.95568053487583
0.74123.3537356123250.80098048398861
0.75123.5323364688110.69880720195162
0.76123.6988142427920.653125109705131
0.77123.8625887219750.653521307998056
0.78124.0299932206520.678552524064257
0.79124.2030717379610.704448219038434
0.8124.3794019154250.711290760733666
0.81124.5530167863550.686796771815877
0.82124.7162394508690.627952694051748
0.83124.8620328074210.541114376038807
0.84124.9863951964790.440218114176103
0.85125.0904370534930.344571943838373
0.86125.1819580259060.278475780027462
0.87125.2763765037340.275148114886277
0.88125.3965100416380.363172249595583
0.89125.5700256603140.541921333354149
0.9125.8230340567840.786978576728864
0.91126.1694546268261.04623773656071
0.92126.5991184727851.23858675416686
0.93127.0716838251401.27980662311879
0.94127.5242020048781.12966725775158
0.95127.8936400204520.82844038057936
0.96128.143778704210.484996687058812
0.97128.2787694335110.212830118841675
0.98128.3333010637090.0624105762737033
0.99128.3480029851520.00924171482615557

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.923174632419 & 0.0811161443969237 \tabularnewline
0.02 & 103.021825347316 & 0.299027020429554 \tabularnewline
0.03 & 103.235002016139 & 0.56253797446846 \tabularnewline
0.04 & 103.544890784798 & 0.717520351232803 \tabularnewline
0.05 & 103.885168523326 & 0.697526963652568 \tabularnewline
0.06 & 104.186289668106 & 0.55192162462823 \tabularnewline
0.07 & 104.410838991219 & 0.373027561323511 \tabularnewline
0.08 & 104.558309540232 & 0.229236203672915 \tabularnewline
0.09 & 104.650549700218 & 0.152760087661902 \tabularnewline
0.1 & 104.715777891658 & 0.157204373906168 \tabularnewline
0.11 & 104.779463611694 & 0.229555596493858 \tabularnewline
0.12 & 104.861269676912 & 0.347300180884493 \tabularnewline
0.13 & 104.974500232833 & 0.493234561518965 \tabularnewline
0.14 & 105.125801565750 & 0.646814523261771 \tabularnewline
0.15 & 105.314820015390 & 0.78373784503841 \tabularnewline
0.16 & 105.534513185204 & 0.881116161056662 \tabularnewline
0.17 & 105.772727687123 & 0.924149481310083 \tabularnewline
0.18 & 106.015010832896 & 0.910314193154864 \tabularnewline
0.19 & 106.247981053090 & 0.850014050454154 \tabularnewline
0.2 & 106.462302198466 & 0.764065745924629 \tabularnewline
0.21 & 106.654464955938 & 0.678534178890534 \tabularnewline
0.22 & 106.827020529248 & 0.619676816859063 \tabularnewline
0.23 & 106.987396873758 & 0.60815360093175 \tabularnewline
0.24 & 107.145769536747 & 0.651193145989065 \tabularnewline
0.25 & 107.312591989447 & 0.740188534057544 \tabularnewline
0.26 & 107.496350553077 & 0.856827483237827 \tabularnewline
0.27 & 107.701971402846 & 0.980058775743044 \tabularnewline
0.28 & 107.930131321103 & 1.08995795714659 \tabularnewline
0.29 & 108.177538357065 & 1.17120132176138 \tabularnewline
0.3 & 108.438065524954 & 1.21515153748968 \tabularnewline
0.31 & 108.704457101465 & 1.22182129047019 \tabularnewline
0.32 & 108.970212082002 & 1.20002606039181 \tabularnewline
0.33 & 109.231214269378 & 1.16584774615843 \tabularnewline
0.34 & 109.486739702787 & 1.13953114679018 \tabularnewline
0.35 & 109.739619734579 & 1.14109429201593 \tabularnewline
0.36 & 109.995536818697 & 1.18378057530923 \tabularnewline
0.37 & 110.261631149672 & 1.27018819893759 \tabularnewline
0.38 & 110.544752277618 & 1.39076504811559 \tabularnewline
0.39 & 110.849766651127 & 1.52765346770488 \tabularnewline
0.4 & 111.17831499256 & 1.65972436188191 \tabularnewline
0.41 & 111.528308098118 & 1.76674107281608 \tabularnewline
0.42 & 111.894279812138 & 1.83340855389698 \tabularnewline
0.43 & 112.268518955565 & 1.85222015894559 \tabularnewline
0.44 & 112.642722042381 & 1.82514614913023 \tabularnewline
0.45 & 113.009787269406 & 1.76329104950585 \tabularnewline
0.46 & 113.365336436568 & 1.68520937425731 \tabularnewline
0.47 & 113.708613644996 & 1.6131529784359 \tabularnewline
0.48 & 114.042553365884 & 1.56911248658861 \tabularnewline
0.49 & 114.373002105623 & 1.56815322946065 \tabularnewline
0.5 & 114.707273177405 & 1.61427131010045 \tabularnewline
0.51 & 115.052368766345 & 1.69856049470433 \tabularnewline
0.52 & 115.413282781822 & 1.80251105450536 \tabularnewline
0.53 & 115.791783463677 & 1.90388154752747 \tabularnewline
0.54 & 116.185967770305 & 1.98130304084140 \tabularnewline
0.55 & 116.590701840184 & 2.01943610172445 \tabularnewline
0.56 & 116.998851813979 & 2.01151928940748 \tabularnewline
0.57 & 117.403015297975 & 1.96067082202650 \tabularnewline
0.58 & 117.797333189047 & 1.87989939020650 \tabularnewline
0.59 & 118.178929244886 & 1.78912625516605 \tabularnewline
0.6 & 118.548602957452 & 1.71127710496430 \tabularnewline
0.61 & 118.910575227784 & 1.66651383905300 \tabularnewline
0.62 & 119.271316700473 & 1.66578044585166 \tabularnewline
0.63 & 119.637720290845 & 1.70676358838 \tabularnewline
0.64 & 120.015054505212 & 1.77383417586255 \tabularnewline
0.65 & 120.405205953212 & 1.84331868513167 \tabularnewline
0.66 & 120.805664925156 & 1.88956651584733 \tabularnewline
0.67 & 121.209535485683 & 1.89121144570343 \tabularnewline
0.68 & 121.606601831029 & 1.83526677304073 \tabularnewline
0.69 & 121.985219954142 & 1.71975980542898 \tabularnewline
0.7 & 122.334598558310 & 1.55370020131437 \tabularnewline
0.71 & 122.646940766793 & 1.35515100782178 \tabularnewline
0.72 & 122.918959911408 & 1.14765982519864 \tabularnewline
0.73 & 123.152440031898 & 0.95568053487583 \tabularnewline
0.74 & 123.353735612325 & 0.80098048398861 \tabularnewline
0.75 & 123.532336468811 & 0.69880720195162 \tabularnewline
0.76 & 123.698814242792 & 0.653125109705131 \tabularnewline
0.77 & 123.862588721975 & 0.653521307998056 \tabularnewline
0.78 & 124.029993220652 & 0.678552524064257 \tabularnewline
0.79 & 124.203071737961 & 0.704448219038434 \tabularnewline
0.8 & 124.379401915425 & 0.711290760733666 \tabularnewline
0.81 & 124.553016786355 & 0.686796771815877 \tabularnewline
0.82 & 124.716239450869 & 0.627952694051748 \tabularnewline
0.83 & 124.862032807421 & 0.541114376038807 \tabularnewline
0.84 & 124.986395196479 & 0.440218114176103 \tabularnewline
0.85 & 125.090437053493 & 0.344571943838373 \tabularnewline
0.86 & 125.181958025906 & 0.278475780027462 \tabularnewline
0.87 & 125.276376503734 & 0.275148114886277 \tabularnewline
0.88 & 125.396510041638 & 0.363172249595583 \tabularnewline
0.89 & 125.570025660314 & 0.541921333354149 \tabularnewline
0.9 & 125.823034056784 & 0.786978576728864 \tabularnewline
0.91 & 126.169454626826 & 1.04623773656071 \tabularnewline
0.92 & 126.599118472785 & 1.23858675416686 \tabularnewline
0.93 & 127.071683825140 & 1.27980662311879 \tabularnewline
0.94 & 127.524202004878 & 1.12966725775158 \tabularnewline
0.95 & 127.893640020452 & 0.82844038057936 \tabularnewline
0.96 & 128.14377870421 & 0.484996687058812 \tabularnewline
0.97 & 128.278769433511 & 0.212830118841675 \tabularnewline
0.98 & 128.333301063709 & 0.0624105762737033 \tabularnewline
0.99 & 128.348002985152 & 0.00924171482615557 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16679&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]102.923174632419[/C][C]0.0811161443969237[/C][/ROW]
[ROW][C]0.02[/C][C]103.021825347316[/C][C]0.299027020429554[/C][/ROW]
[ROW][C]0.03[/C][C]103.235002016139[/C][C]0.56253797446846[/C][/ROW]
[ROW][C]0.04[/C][C]103.544890784798[/C][C]0.717520351232803[/C][/ROW]
[ROW][C]0.05[/C][C]103.885168523326[/C][C]0.697526963652568[/C][/ROW]
[ROW][C]0.06[/C][C]104.186289668106[/C][C]0.55192162462823[/C][/ROW]
[ROW][C]0.07[/C][C]104.410838991219[/C][C]0.373027561323511[/C][/ROW]
[ROW][C]0.08[/C][C]104.558309540232[/C][C]0.229236203672915[/C][/ROW]
[ROW][C]0.09[/C][C]104.650549700218[/C][C]0.152760087661902[/C][/ROW]
[ROW][C]0.1[/C][C]104.715777891658[/C][C]0.157204373906168[/C][/ROW]
[ROW][C]0.11[/C][C]104.779463611694[/C][C]0.229555596493858[/C][/ROW]
[ROW][C]0.12[/C][C]104.861269676912[/C][C]0.347300180884493[/C][/ROW]
[ROW][C]0.13[/C][C]104.974500232833[/C][C]0.493234561518965[/C][/ROW]
[ROW][C]0.14[/C][C]105.125801565750[/C][C]0.646814523261771[/C][/ROW]
[ROW][C]0.15[/C][C]105.314820015390[/C][C]0.78373784503841[/C][/ROW]
[ROW][C]0.16[/C][C]105.534513185204[/C][C]0.881116161056662[/C][/ROW]
[ROW][C]0.17[/C][C]105.772727687123[/C][C]0.924149481310083[/C][/ROW]
[ROW][C]0.18[/C][C]106.015010832896[/C][C]0.910314193154864[/C][/ROW]
[ROW][C]0.19[/C][C]106.247981053090[/C][C]0.850014050454154[/C][/ROW]
[ROW][C]0.2[/C][C]106.462302198466[/C][C]0.764065745924629[/C][/ROW]
[ROW][C]0.21[/C][C]106.654464955938[/C][C]0.678534178890534[/C][/ROW]
[ROW][C]0.22[/C][C]106.827020529248[/C][C]0.619676816859063[/C][/ROW]
[ROW][C]0.23[/C][C]106.987396873758[/C][C]0.60815360093175[/C][/ROW]
[ROW][C]0.24[/C][C]107.145769536747[/C][C]0.651193145989065[/C][/ROW]
[ROW][C]0.25[/C][C]107.312591989447[/C][C]0.740188534057544[/C][/ROW]
[ROW][C]0.26[/C][C]107.496350553077[/C][C]0.856827483237827[/C][/ROW]
[ROW][C]0.27[/C][C]107.701971402846[/C][C]0.980058775743044[/C][/ROW]
[ROW][C]0.28[/C][C]107.930131321103[/C][C]1.08995795714659[/C][/ROW]
[ROW][C]0.29[/C][C]108.177538357065[/C][C]1.17120132176138[/C][/ROW]
[ROW][C]0.3[/C][C]108.438065524954[/C][C]1.21515153748968[/C][/ROW]
[ROW][C]0.31[/C][C]108.704457101465[/C][C]1.22182129047019[/C][/ROW]
[ROW][C]0.32[/C][C]108.970212082002[/C][C]1.20002606039181[/C][/ROW]
[ROW][C]0.33[/C][C]109.231214269378[/C][C]1.16584774615843[/C][/ROW]
[ROW][C]0.34[/C][C]109.486739702787[/C][C]1.13953114679018[/C][/ROW]
[ROW][C]0.35[/C][C]109.739619734579[/C][C]1.14109429201593[/C][/ROW]
[ROW][C]0.36[/C][C]109.995536818697[/C][C]1.18378057530923[/C][/ROW]
[ROW][C]0.37[/C][C]110.261631149672[/C][C]1.27018819893759[/C][/ROW]
[ROW][C]0.38[/C][C]110.544752277618[/C][C]1.39076504811559[/C][/ROW]
[ROW][C]0.39[/C][C]110.849766651127[/C][C]1.52765346770488[/C][/ROW]
[ROW][C]0.4[/C][C]111.17831499256[/C][C]1.65972436188191[/C][/ROW]
[ROW][C]0.41[/C][C]111.528308098118[/C][C]1.76674107281608[/C][/ROW]
[ROW][C]0.42[/C][C]111.894279812138[/C][C]1.83340855389698[/C][/ROW]
[ROW][C]0.43[/C][C]112.268518955565[/C][C]1.85222015894559[/C][/ROW]
[ROW][C]0.44[/C][C]112.642722042381[/C][C]1.82514614913023[/C][/ROW]
[ROW][C]0.45[/C][C]113.009787269406[/C][C]1.76329104950585[/C][/ROW]
[ROW][C]0.46[/C][C]113.365336436568[/C][C]1.68520937425731[/C][/ROW]
[ROW][C]0.47[/C][C]113.708613644996[/C][C]1.6131529784359[/C][/ROW]
[ROW][C]0.48[/C][C]114.042553365884[/C][C]1.56911248658861[/C][/ROW]
[ROW][C]0.49[/C][C]114.373002105623[/C][C]1.56815322946065[/C][/ROW]
[ROW][C]0.5[/C][C]114.707273177405[/C][C]1.61427131010045[/C][/ROW]
[ROW][C]0.51[/C][C]115.052368766345[/C][C]1.69856049470433[/C][/ROW]
[ROW][C]0.52[/C][C]115.413282781822[/C][C]1.80251105450536[/C][/ROW]
[ROW][C]0.53[/C][C]115.791783463677[/C][C]1.90388154752747[/C][/ROW]
[ROW][C]0.54[/C][C]116.185967770305[/C][C]1.98130304084140[/C][/ROW]
[ROW][C]0.55[/C][C]116.590701840184[/C][C]2.01943610172445[/C][/ROW]
[ROW][C]0.56[/C][C]116.998851813979[/C][C]2.01151928940748[/C][/ROW]
[ROW][C]0.57[/C][C]117.403015297975[/C][C]1.96067082202650[/C][/ROW]
[ROW][C]0.58[/C][C]117.797333189047[/C][C]1.87989939020650[/C][/ROW]
[ROW][C]0.59[/C][C]118.178929244886[/C][C]1.78912625516605[/C][/ROW]
[ROW][C]0.6[/C][C]118.548602957452[/C][C]1.71127710496430[/C][/ROW]
[ROW][C]0.61[/C][C]118.910575227784[/C][C]1.66651383905300[/C][/ROW]
[ROW][C]0.62[/C][C]119.271316700473[/C][C]1.66578044585166[/C][/ROW]
[ROW][C]0.63[/C][C]119.637720290845[/C][C]1.70676358838[/C][/ROW]
[ROW][C]0.64[/C][C]120.015054505212[/C][C]1.77383417586255[/C][/ROW]
[ROW][C]0.65[/C][C]120.405205953212[/C][C]1.84331868513167[/C][/ROW]
[ROW][C]0.66[/C][C]120.805664925156[/C][C]1.88956651584733[/C][/ROW]
[ROW][C]0.67[/C][C]121.209535485683[/C][C]1.89121144570343[/C][/ROW]
[ROW][C]0.68[/C][C]121.606601831029[/C][C]1.83526677304073[/C][/ROW]
[ROW][C]0.69[/C][C]121.985219954142[/C][C]1.71975980542898[/C][/ROW]
[ROW][C]0.7[/C][C]122.334598558310[/C][C]1.55370020131437[/C][/ROW]
[ROW][C]0.71[/C][C]122.646940766793[/C][C]1.35515100782178[/C][/ROW]
[ROW][C]0.72[/C][C]122.918959911408[/C][C]1.14765982519864[/C][/ROW]
[ROW][C]0.73[/C][C]123.152440031898[/C][C]0.95568053487583[/C][/ROW]
[ROW][C]0.74[/C][C]123.353735612325[/C][C]0.80098048398861[/C][/ROW]
[ROW][C]0.75[/C][C]123.532336468811[/C][C]0.69880720195162[/C][/ROW]
[ROW][C]0.76[/C][C]123.698814242792[/C][C]0.653125109705131[/C][/ROW]
[ROW][C]0.77[/C][C]123.862588721975[/C][C]0.653521307998056[/C][/ROW]
[ROW][C]0.78[/C][C]124.029993220652[/C][C]0.678552524064257[/C][/ROW]
[ROW][C]0.79[/C][C]124.203071737961[/C][C]0.704448219038434[/C][/ROW]
[ROW][C]0.8[/C][C]124.379401915425[/C][C]0.711290760733666[/C][/ROW]
[ROW][C]0.81[/C][C]124.553016786355[/C][C]0.686796771815877[/C][/ROW]
[ROW][C]0.82[/C][C]124.716239450869[/C][C]0.627952694051748[/C][/ROW]
[ROW][C]0.83[/C][C]124.862032807421[/C][C]0.541114376038807[/C][/ROW]
[ROW][C]0.84[/C][C]124.986395196479[/C][C]0.440218114176103[/C][/ROW]
[ROW][C]0.85[/C][C]125.090437053493[/C][C]0.344571943838373[/C][/ROW]
[ROW][C]0.86[/C][C]125.181958025906[/C][C]0.278475780027462[/C][/ROW]
[ROW][C]0.87[/C][C]125.276376503734[/C][C]0.275148114886277[/C][/ROW]
[ROW][C]0.88[/C][C]125.396510041638[/C][C]0.363172249595583[/C][/ROW]
[ROW][C]0.89[/C][C]125.570025660314[/C][C]0.541921333354149[/C][/ROW]
[ROW][C]0.9[/C][C]125.823034056784[/C][C]0.786978576728864[/C][/ROW]
[ROW][C]0.91[/C][C]126.169454626826[/C][C]1.04623773656071[/C][/ROW]
[ROW][C]0.92[/C][C]126.599118472785[/C][C]1.23858675416686[/C][/ROW]
[ROW][C]0.93[/C][C]127.071683825140[/C][C]1.27980662311879[/C][/ROW]
[ROW][C]0.94[/C][C]127.524202004878[/C][C]1.12966725775158[/C][/ROW]
[ROW][C]0.95[/C][C]127.893640020452[/C][C]0.82844038057936[/C][/ROW]
[ROW][C]0.96[/C][C]128.14377870421[/C][C]0.484996687058812[/C][/ROW]
[ROW][C]0.97[/C][C]128.278769433511[/C][C]0.212830118841675[/C][/ROW]
[ROW][C]0.98[/C][C]128.333301063709[/C][C]0.0624105762737033[/C][/ROW]
[ROW][C]0.99[/C][C]128.348002985152[/C][C]0.00924171482615557[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16679&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
0.01102.9231746324190.0811161443969237
0.02103.0218253473160.299027020429554
0.03103.2350020161390.56253797446846
0.04103.5448907847980.717520351232803
0.05103.8851685233260.697526963652568
0.06104.1862896681060.55192162462823
0.07104.4108389912190.373027561323511
0.08104.5583095402320.229236203672915
0.09104.6505497002180.152760087661902
0.1104.7157778916580.157204373906168
0.11104.7794636116940.229555596493858
0.12104.8612696769120.347300180884493
0.13104.9745002328330.493234561518965
0.14105.1258015657500.646814523261771
0.15105.3148200153900.78373784503841
0.16105.5345131852040.881116161056662
0.17105.7727276871230.924149481310083
0.18106.0150108328960.910314193154864
0.19106.2479810530900.850014050454154
0.2106.4623021984660.764065745924629
0.21106.6544649559380.678534178890534
0.22106.8270205292480.619676816859063
0.23106.9873968737580.60815360093175
0.24107.1457695367470.651193145989065
0.25107.3125919894470.740188534057544
0.26107.4963505530770.856827483237827
0.27107.7019714028460.980058775743044
0.28107.9301313211031.08995795714659
0.29108.1775383570651.17120132176138
0.3108.4380655249541.21515153748968
0.31108.7044571014651.22182129047019
0.32108.9702120820021.20002606039181
0.33109.2312142693781.16584774615843
0.34109.4867397027871.13953114679018
0.35109.7396197345791.14109429201593
0.36109.9955368186971.18378057530923
0.37110.2616311496721.27018819893759
0.38110.5447522776181.39076504811559
0.39110.8497666511271.52765346770488
0.4111.178314992561.65972436188191
0.41111.5283080981181.76674107281608
0.42111.8942798121381.83340855389698
0.43112.2685189555651.85222015894559
0.44112.6427220423811.82514614913023
0.45113.0097872694061.76329104950585
0.46113.3653364365681.68520937425731
0.47113.7086136449961.6131529784359
0.48114.0425533658841.56911248658861
0.49114.3730021056231.56815322946065
0.5114.7072731774051.61427131010045
0.51115.0523687663451.69856049470433
0.52115.4132827818221.80251105450536
0.53115.7917834636771.90388154752747
0.54116.1859677703051.98130304084140
0.55116.5907018401842.01943610172445
0.56116.9988518139792.01151928940748
0.57117.4030152979751.96067082202650
0.58117.7973331890471.87989939020650
0.59118.1789292448861.78912625516605
0.6118.5486029574521.71127710496430
0.61118.9105752277841.66651383905300
0.62119.2713167004731.66578044585166
0.63119.6377202908451.70676358838
0.64120.0150545052121.77383417586255
0.65120.4052059532121.84331868513167
0.66120.8056649251561.88956651584733
0.67121.2095354856831.89121144570343
0.68121.6066018310291.83526677304073
0.69121.9852199541421.71975980542898
0.7122.3345985583101.55370020131437
0.71122.6469407667931.35515100782178
0.72122.9189599114081.14765982519864
0.73123.1524400318980.95568053487583
0.74123.3537356123250.80098048398861
0.75123.5323364688110.69880720195162
0.76123.6988142427920.653125109705131
0.77123.8625887219750.653521307998056
0.78124.0299932206520.678552524064257
0.79124.2030717379610.704448219038434
0.8124.3794019154250.711290760733666
0.81124.5530167863550.686796771815877
0.82124.7162394508690.627952694051748
0.83124.8620328074210.541114376038807
0.84124.9863951964790.440218114176103
0.85125.0904370534930.344571943838373
0.86125.1819580259060.278475780027462
0.87125.2763765037340.275148114886277
0.88125.3965100416380.363172249595583
0.89125.5700256603140.541921333354149
0.9125.8230340567840.786978576728864
0.91126.1694546268261.04623773656071
0.92126.5991184727851.23858675416686
0.93127.0716838251401.27980662311879
0.94127.5242020048781.12966725775158
0.95127.8936400204520.82844038057936
0.96128.143778704210.484996687058812
0.97128.2787694335110.212830118841675
0.98128.3333010637090.0624105762737033
0.99128.3480029851520.00924171482615557


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')