FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 11:52:21 -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/27/t12251299922jemjgblpf7nuef.htm/, Retrieved Sun, 19 May 2024 22:08:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19334, Retrieved Sun, 19 May 2024 22:08:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD    [Harrell-Davis Quantiles] [Q9 Consumptiegoed...] [2008-10-27 17:52:21] [2ba2a74112fb2c960057a572bf2825d3] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.6
103
111.6
106.3
97.9
108.8
103.9
101.2
122.9
123.9
111.7
120.9
99.6
103.3
119.4
106.5
101.9
124.6
106.5
107.8
127.4
120.1
118.5
127.7
107.7
104.5
118.8
110.3
109.6
119.1
96.5
106.7
126.3
116.2
118.8
115.2
110
111.4
129.6
108.1
117.8
122.9
100.6
111.8
127
128.6
124.8
118.5
114.7
112.6
128.7
111
115.8
126
111.1
113.2
120.1
130.6
124
119.4
116.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19334&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19334&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.91040751098381.413577124856
0.0297.5698923560511.49445501516001
0.0398.32634393708431.55423207278044
0.0499.07149479668891.55109384353091
0.0599.75687681951321.50790768702702
0.06100.3732303742381.46548113563265
0.07100.9295163196291.44738889397348
0.08101.4401898373251.45610156867480
0.09101.9189864355771.48360486887915
0.1102.3765058259811.52100697412506
0.11102.8197920830381.56149759483998
0.12103.2527917988771.59971345844648
0.13103.6770430420651.63057675716058
0.14104.0923247082051.64880222981384
0.15104.4972376830141.65037588719833
0.16104.8897690693741.63373459944039
0.17105.2678567906311.60043121566211
0.18105.6299054272211.55539178313408
0.19105.9751672346851.50519941494363
0.2106.3039159884571.45700011181293
0.21106.6173921770921.41645659895809
0.22106.9175575167011.38704400223754
0.23107.2067392977931.36927679044512
0.24107.4872583573401.36131898124631
0.25107.7611202140151.36000935051424
0.26108.0298178766251.36163767931639
0.27108.2942601284851.36282340875842
0.28108.5548109421551.36105936380117
0.29108.8114091484071.35496192937650
0.3109.0637327058841.34378270841334
0.31109.3113758311821.32813194145307
0.32109.5540156279351.30926976908276
0.33109.7915538920871.28921638122194
0.34110.0242269404821.27031950359442
0.35110.2526805666931.25548010517197
0.36110.4780087881491.24757470177368
0.37110.7017549515051.24977082150474
0.38110.9258733739301.26480456481766
0.39111.1526502467601.29499026127355
0.4111.3845847547661.34159876760088
0.41111.6242353192391.40454071716419
0.42111.8740409099251.48251390200378
0.43112.1361323290101.57235930272245
0.44112.4121519062941.67010977633099
0.45112.7031010212891.77111809743770
0.46113.0092326991581.86971453448949
0.47113.3300013766561.96081537960749
0.48113.6640747079912.03957530566256
0.49114.0094044131142.1022650311393
0.5114.3633462583132.14572034032505
0.51114.7228146429162.16820631367376
0.52115.0844556877992.16895463229158
0.53115.4448241440062.14826721237327
0.54115.8005530889972.10737475502788
0.55116.1485099880742.04803094096664
0.56116.4859368867251.97286273748242
0.57116.8105751538631.88498735757987
0.58117.1207757604731.78781799621143
0.59117.4155946564091.68567911718665
0.6117.6948700656561.58291860584398
0.61117.9592754364881.48457577562120
0.62118.2103393488811.39584277203648
0.63118.4504226519151.32204178323727
0.64118.6826438796421.26810559095891
0.65118.9107466512371.23803957043196
0.66119.1389071755381.23449666675269
0.67119.3714859494181.25815185090844
0.68119.6127350110041.30708032393895
0.69119.8664802637851.37720606138498
0.7120.1358066230671.46241278102001
0.71120.4227806657401.55525464389161
0.72120.7282491062311.64754525010277
0.73121.0517495082771.73103654930025
0.74121.3915602815161.79851209913415
0.75121.7448995682171.84440029383097
0.76122.108258537391.86535730727208
0.77122.4778277765051.86108455635199
0.78122.8499519308181.83405759719862
0.79123.2215344218051.78899058583577
0.8123.5903169069911.73234601649855
0.81123.9549798776571.67066627719580
0.82124.3150492503061.60928672884190
0.83124.6706412137041.55130447633746
0.84125.0221215036871.49705837746874
0.85125.3697813425611.44461739638106
0.86125.7136286843361.39059711105295
0.87126.0533564759641.33227076991890
0.88126.3884893268711.26822423198237
0.89126.7186523953011.19934609174469
0.9127.0438884002091.12807890480427
0.91127.3649995022141.0574560133829
0.92127.6839989849130.989855178983426
0.93128.0048359269960.927385397790715
0.94128.3344204899810.87399778494334
0.95128.6833537216740.838041331164226
0.96129.0643837844730.828786143172519
0.97129.4847382007520.847187047126726
0.98129.9286144822730.885754698278527
0.99130.3350422359180.937401742657

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.9104075109838 & 1.413577124856 \tabularnewline
0.02 & 97.569892356051 & 1.49445501516001 \tabularnewline
0.03 & 98.3263439370843 & 1.55423207278044 \tabularnewline
0.04 & 99.0714947966889 & 1.55109384353091 \tabularnewline
0.05 & 99.7568768195132 & 1.50790768702702 \tabularnewline
0.06 & 100.373230374238 & 1.46548113563265 \tabularnewline
0.07 & 100.929516319629 & 1.44738889397348 \tabularnewline
0.08 & 101.440189837325 & 1.45610156867480 \tabularnewline
0.09 & 101.918986435577 & 1.48360486887915 \tabularnewline
0.1 & 102.376505825981 & 1.52100697412506 \tabularnewline
0.11 & 102.819792083038 & 1.56149759483998 \tabularnewline
0.12 & 103.252791798877 & 1.59971345844648 \tabularnewline
0.13 & 103.677043042065 & 1.63057675716058 \tabularnewline
0.14 & 104.092324708205 & 1.64880222981384 \tabularnewline
0.15 & 104.497237683014 & 1.65037588719833 \tabularnewline
0.16 & 104.889769069374 & 1.63373459944039 \tabularnewline
0.17 & 105.267856790631 & 1.60043121566211 \tabularnewline
0.18 & 105.629905427221 & 1.55539178313408 \tabularnewline
0.19 & 105.975167234685 & 1.50519941494363 \tabularnewline
0.2 & 106.303915988457 & 1.45700011181293 \tabularnewline
0.21 & 106.617392177092 & 1.41645659895809 \tabularnewline
0.22 & 106.917557516701 & 1.38704400223754 \tabularnewline
0.23 & 107.206739297793 & 1.36927679044512 \tabularnewline
0.24 & 107.487258357340 & 1.36131898124631 \tabularnewline
0.25 & 107.761120214015 & 1.36000935051424 \tabularnewline
0.26 & 108.029817876625 & 1.36163767931639 \tabularnewline
0.27 & 108.294260128485 & 1.36282340875842 \tabularnewline
0.28 & 108.554810942155 & 1.36105936380117 \tabularnewline
0.29 & 108.811409148407 & 1.35496192937650 \tabularnewline
0.3 & 109.063732705884 & 1.34378270841334 \tabularnewline
0.31 & 109.311375831182 & 1.32813194145307 \tabularnewline
0.32 & 109.554015627935 & 1.30926976908276 \tabularnewline
0.33 & 109.791553892087 & 1.28921638122194 \tabularnewline
0.34 & 110.024226940482 & 1.27031950359442 \tabularnewline
0.35 & 110.252680566693 & 1.25548010517197 \tabularnewline
0.36 & 110.478008788149 & 1.24757470177368 \tabularnewline
0.37 & 110.701754951505 & 1.24977082150474 \tabularnewline
0.38 & 110.925873373930 & 1.26480456481766 \tabularnewline
0.39 & 111.152650246760 & 1.29499026127355 \tabularnewline
0.4 & 111.384584754766 & 1.34159876760088 \tabularnewline
0.41 & 111.624235319239 & 1.40454071716419 \tabularnewline
0.42 & 111.874040909925 & 1.48251390200378 \tabularnewline
0.43 & 112.136132329010 & 1.57235930272245 \tabularnewline
0.44 & 112.412151906294 & 1.67010977633099 \tabularnewline
0.45 & 112.703101021289 & 1.77111809743770 \tabularnewline
0.46 & 113.009232699158 & 1.86971453448949 \tabularnewline
0.47 & 113.330001376656 & 1.96081537960749 \tabularnewline
0.48 & 113.664074707991 & 2.03957530566256 \tabularnewline
0.49 & 114.009404413114 & 2.1022650311393 \tabularnewline
0.5 & 114.363346258313 & 2.14572034032505 \tabularnewline
0.51 & 114.722814642916 & 2.16820631367376 \tabularnewline
0.52 & 115.084455687799 & 2.16895463229158 \tabularnewline
0.53 & 115.444824144006 & 2.14826721237327 \tabularnewline
0.54 & 115.800553088997 & 2.10737475502788 \tabularnewline
0.55 & 116.148509988074 & 2.04803094096664 \tabularnewline
0.56 & 116.485936886725 & 1.97286273748242 \tabularnewline
0.57 & 116.810575153863 & 1.88498735757987 \tabularnewline
0.58 & 117.120775760473 & 1.78781799621143 \tabularnewline
0.59 & 117.415594656409 & 1.68567911718665 \tabularnewline
0.6 & 117.694870065656 & 1.58291860584398 \tabularnewline
0.61 & 117.959275436488 & 1.48457577562120 \tabularnewline
0.62 & 118.210339348881 & 1.39584277203648 \tabularnewline
0.63 & 118.450422651915 & 1.32204178323727 \tabularnewline
0.64 & 118.682643879642 & 1.26810559095891 \tabularnewline
0.65 & 118.910746651237 & 1.23803957043196 \tabularnewline
0.66 & 119.138907175538 & 1.23449666675269 \tabularnewline
0.67 & 119.371485949418 & 1.25815185090844 \tabularnewline
0.68 & 119.612735011004 & 1.30708032393895 \tabularnewline
0.69 & 119.866480263785 & 1.37720606138498 \tabularnewline
0.7 & 120.135806623067 & 1.46241278102001 \tabularnewline
0.71 & 120.422780665740 & 1.55525464389161 \tabularnewline
0.72 & 120.728249106231 & 1.64754525010277 \tabularnewline
0.73 & 121.051749508277 & 1.73103654930025 \tabularnewline
0.74 & 121.391560281516 & 1.79851209913415 \tabularnewline
0.75 & 121.744899568217 & 1.84440029383097 \tabularnewline
0.76 & 122.10825853739 & 1.86535730727208 \tabularnewline
0.77 & 122.477827776505 & 1.86108455635199 \tabularnewline
0.78 & 122.849951930818 & 1.83405759719862 \tabularnewline
0.79 & 123.221534421805 & 1.78899058583577 \tabularnewline
0.8 & 123.590316906991 & 1.73234601649855 \tabularnewline
0.81 & 123.954979877657 & 1.67066627719580 \tabularnewline
0.82 & 124.315049250306 & 1.60928672884190 \tabularnewline
0.83 & 124.670641213704 & 1.55130447633746 \tabularnewline
0.84 & 125.022121503687 & 1.49705837746874 \tabularnewline
0.85 & 125.369781342561 & 1.44461739638106 \tabularnewline
0.86 & 125.713628684336 & 1.39059711105295 \tabularnewline
0.87 & 126.053356475964 & 1.33227076991890 \tabularnewline
0.88 & 126.388489326871 & 1.26822423198237 \tabularnewline
0.89 & 126.718652395301 & 1.19934609174469 \tabularnewline
0.9 & 127.043888400209 & 1.12807890480427 \tabularnewline
0.91 & 127.364999502214 & 1.0574560133829 \tabularnewline
0.92 & 127.683998984913 & 0.989855178983426 \tabularnewline
0.93 & 128.004835926996 & 0.927385397790715 \tabularnewline
0.94 & 128.334420489981 & 0.87399778494334 \tabularnewline
0.95 & 128.683353721674 & 0.838041331164226 \tabularnewline
0.96 & 129.064383784473 & 0.828786143172519 \tabularnewline
0.97 & 129.484738200752 & 0.847187047126726 \tabularnewline
0.98 & 129.928614482273 & 0.885754698278527 \tabularnewline
0.99 & 130.335042235918 & 0.937401742657 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19334&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]96.9104075109838[/C][C]1.413577124856[/C][/ROW]
[ROW][C]0.02[/C][C]97.569892356051[/C][C]1.49445501516001[/C][/ROW]
[ROW][C]0.03[/C][C]98.3263439370843[/C][C]1.55423207278044[/C][/ROW]
[ROW][C]0.04[/C][C]99.0714947966889[/C][C]1.55109384353091[/C][/ROW]
[ROW][C]0.05[/C][C]99.7568768195132[/C][C]1.50790768702702[/C][/ROW]
[ROW][C]0.06[/C][C]100.373230374238[/C][C]1.46548113563265[/C][/ROW]
[ROW][C]0.07[/C][C]100.929516319629[/C][C]1.44738889397348[/C][/ROW]
[ROW][C]0.08[/C][C]101.440189837325[/C][C]1.45610156867480[/C][/ROW]
[ROW][C]0.09[/C][C]101.918986435577[/C][C]1.48360486887915[/C][/ROW]
[ROW][C]0.1[/C][C]102.376505825981[/C][C]1.52100697412506[/C][/ROW]
[ROW][C]0.11[/C][C]102.819792083038[/C][C]1.56149759483998[/C][/ROW]
[ROW][C]0.12[/C][C]103.252791798877[/C][C]1.59971345844648[/C][/ROW]
[ROW][C]0.13[/C][C]103.677043042065[/C][C]1.63057675716058[/C][/ROW]
[ROW][C]0.14[/C][C]104.092324708205[/C][C]1.64880222981384[/C][/ROW]
[ROW][C]0.15[/C][C]104.497237683014[/C][C]1.65037588719833[/C][/ROW]
[ROW][C]0.16[/C][C]104.889769069374[/C][C]1.63373459944039[/C][/ROW]
[ROW][C]0.17[/C][C]105.267856790631[/C][C]1.60043121566211[/C][/ROW]
[ROW][C]0.18[/C][C]105.629905427221[/C][C]1.55539178313408[/C][/ROW]
[ROW][C]0.19[/C][C]105.975167234685[/C][C]1.50519941494363[/C][/ROW]
[ROW][C]0.2[/C][C]106.303915988457[/C][C]1.45700011181293[/C][/ROW]
[ROW][C]0.21[/C][C]106.617392177092[/C][C]1.41645659895809[/C][/ROW]
[ROW][C]0.22[/C][C]106.917557516701[/C][C]1.38704400223754[/C][/ROW]
[ROW][C]0.23[/C][C]107.206739297793[/C][C]1.36927679044512[/C][/ROW]
[ROW][C]0.24[/C][C]107.487258357340[/C][C]1.36131898124631[/C][/ROW]
[ROW][C]0.25[/C][C]107.761120214015[/C][C]1.36000935051424[/C][/ROW]
[ROW][C]0.26[/C][C]108.029817876625[/C][C]1.36163767931639[/C][/ROW]
[ROW][C]0.27[/C][C]108.294260128485[/C][C]1.36282340875842[/C][/ROW]
[ROW][C]0.28[/C][C]108.554810942155[/C][C]1.36105936380117[/C][/ROW]
[ROW][C]0.29[/C][C]108.811409148407[/C][C]1.35496192937650[/C][/ROW]
[ROW][C]0.3[/C][C]109.063732705884[/C][C]1.34378270841334[/C][/ROW]
[ROW][C]0.31[/C][C]109.311375831182[/C][C]1.32813194145307[/C][/ROW]
[ROW][C]0.32[/C][C]109.554015627935[/C][C]1.30926976908276[/C][/ROW]
[ROW][C]0.33[/C][C]109.791553892087[/C][C]1.28921638122194[/C][/ROW]
[ROW][C]0.34[/C][C]110.024226940482[/C][C]1.27031950359442[/C][/ROW]
[ROW][C]0.35[/C][C]110.252680566693[/C][C]1.25548010517197[/C][/ROW]
[ROW][C]0.36[/C][C]110.478008788149[/C][C]1.24757470177368[/C][/ROW]
[ROW][C]0.37[/C][C]110.701754951505[/C][C]1.24977082150474[/C][/ROW]
[ROW][C]0.38[/C][C]110.925873373930[/C][C]1.26480456481766[/C][/ROW]
[ROW][C]0.39[/C][C]111.152650246760[/C][C]1.29499026127355[/C][/ROW]
[ROW][C]0.4[/C][C]111.384584754766[/C][C]1.34159876760088[/C][/ROW]
[ROW][C]0.41[/C][C]111.624235319239[/C][C]1.40454071716419[/C][/ROW]
[ROW][C]0.42[/C][C]111.874040909925[/C][C]1.48251390200378[/C][/ROW]
[ROW][C]0.43[/C][C]112.136132329010[/C][C]1.57235930272245[/C][/ROW]
[ROW][C]0.44[/C][C]112.412151906294[/C][C]1.67010977633099[/C][/ROW]
[ROW][C]0.45[/C][C]112.703101021289[/C][C]1.77111809743770[/C][/ROW]
[ROW][C]0.46[/C][C]113.009232699158[/C][C]1.86971453448949[/C][/ROW]
[ROW][C]0.47[/C][C]113.330001376656[/C][C]1.96081537960749[/C][/ROW]
[ROW][C]0.48[/C][C]113.664074707991[/C][C]2.03957530566256[/C][/ROW]
[ROW][C]0.49[/C][C]114.009404413114[/C][C]2.1022650311393[/C][/ROW]
[ROW][C]0.5[/C][C]114.363346258313[/C][C]2.14572034032505[/C][/ROW]
[ROW][C]0.51[/C][C]114.722814642916[/C][C]2.16820631367376[/C][/ROW]
[ROW][C]0.52[/C][C]115.084455687799[/C][C]2.16895463229158[/C][/ROW]
[ROW][C]0.53[/C][C]115.444824144006[/C][C]2.14826721237327[/C][/ROW]
[ROW][C]0.54[/C][C]115.800553088997[/C][C]2.10737475502788[/C][/ROW]
[ROW][C]0.55[/C][C]116.148509988074[/C][C]2.04803094096664[/C][/ROW]
[ROW][C]0.56[/C][C]116.485936886725[/C][C]1.97286273748242[/C][/ROW]
[ROW][C]0.57[/C][C]116.810575153863[/C][C]1.88498735757987[/C][/ROW]
[ROW][C]0.58[/C][C]117.120775760473[/C][C]1.78781799621143[/C][/ROW]
[ROW][C]0.59[/C][C]117.415594656409[/C][C]1.68567911718665[/C][/ROW]
[ROW][C]0.6[/C][C]117.694870065656[/C][C]1.58291860584398[/C][/ROW]
[ROW][C]0.61[/C][C]117.959275436488[/C][C]1.48457577562120[/C][/ROW]
[ROW][C]0.62[/C][C]118.210339348881[/C][C]1.39584277203648[/C][/ROW]
[ROW][C]0.63[/C][C]118.450422651915[/C][C]1.32204178323727[/C][/ROW]
[ROW][C]0.64[/C][C]118.682643879642[/C][C]1.26810559095891[/C][/ROW]
[ROW][C]0.65[/C][C]118.910746651237[/C][C]1.23803957043196[/C][/ROW]
[ROW][C]0.66[/C][C]119.138907175538[/C][C]1.23449666675269[/C][/ROW]
[ROW][C]0.67[/C][C]119.371485949418[/C][C]1.25815185090844[/C][/ROW]
[ROW][C]0.68[/C][C]119.612735011004[/C][C]1.30708032393895[/C][/ROW]
[ROW][C]0.69[/C][C]119.866480263785[/C][C]1.37720606138498[/C][/ROW]
[ROW][C]0.7[/C][C]120.135806623067[/C][C]1.46241278102001[/C][/ROW]
[ROW][C]0.71[/C][C]120.422780665740[/C][C]1.55525464389161[/C][/ROW]
[ROW][C]0.72[/C][C]120.728249106231[/C][C]1.64754525010277[/C][/ROW]
[ROW][C]0.73[/C][C]121.051749508277[/C][C]1.73103654930025[/C][/ROW]
[ROW][C]0.74[/C][C]121.391560281516[/C][C]1.79851209913415[/C][/ROW]
[ROW][C]0.75[/C][C]121.744899568217[/C][C]1.84440029383097[/C][/ROW]
[ROW][C]0.76[/C][C]122.10825853739[/C][C]1.86535730727208[/C][/ROW]
[ROW][C]0.77[/C][C]122.477827776505[/C][C]1.86108455635199[/C][/ROW]
[ROW][C]0.78[/C][C]122.849951930818[/C][C]1.83405759719862[/C][/ROW]
[ROW][C]0.79[/C][C]123.221534421805[/C][C]1.78899058583577[/C][/ROW]
[ROW][C]0.8[/C][C]123.590316906991[/C][C]1.73234601649855[/C][/ROW]
[ROW][C]0.81[/C][C]123.954979877657[/C][C]1.67066627719580[/C][/ROW]
[ROW][C]0.82[/C][C]124.315049250306[/C][C]1.60928672884190[/C][/ROW]
[ROW][C]0.83[/C][C]124.670641213704[/C][C]1.55130447633746[/C][/ROW]
[ROW][C]0.84[/C][C]125.022121503687[/C][C]1.49705837746874[/C][/ROW]
[ROW][C]0.85[/C][C]125.369781342561[/C][C]1.44461739638106[/C][/ROW]
[ROW][C]0.86[/C][C]125.713628684336[/C][C]1.39059711105295[/C][/ROW]
[ROW][C]0.87[/C][C]126.053356475964[/C][C]1.33227076991890[/C][/ROW]
[ROW][C]0.88[/C][C]126.388489326871[/C][C]1.26822423198237[/C][/ROW]
[ROW][C]0.89[/C][C]126.718652395301[/C][C]1.19934609174469[/C][/ROW]
[ROW][C]0.9[/C][C]127.043888400209[/C][C]1.12807890480427[/C][/ROW]
[ROW][C]0.91[/C][C]127.364999502214[/C][C]1.0574560133829[/C][/ROW]
[ROW][C]0.92[/C][C]127.683998984913[/C][C]0.989855178983426[/C][/ROW]
[ROW][C]0.93[/C][C]128.004835926996[/C][C]0.927385397790715[/C][/ROW]
[ROW][C]0.94[/C][C]128.334420489981[/C][C]0.87399778494334[/C][/ROW]
[ROW][C]0.95[/C][C]128.683353721674[/C][C]0.838041331164226[/C][/ROW]
[ROW][C]0.96[/C][C]129.064383784473[/C][C]0.828786143172519[/C][/ROW]
[ROW][C]0.97[/C][C]129.484738200752[/C][C]0.847187047126726[/C][/ROW]
[ROW][C]0.98[/C][C]129.928614482273[/C][C]0.885754698278527[/C][/ROW]
[ROW][C]0.99[/C][C]130.335042235918[/C][C]0.937401742657[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19334&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
0.0196.91040751098381.413577124856
0.0297.5698923560511.49445501516001
0.0398.32634393708431.55423207278044
0.0499.07149479668891.55109384353091
0.0599.75687681951321.50790768702702
0.06100.3732303742381.46548113563265
0.07100.9295163196291.44738889397348
0.08101.4401898373251.45610156867480
0.09101.9189864355771.48360486887915
0.1102.3765058259811.52100697412506
0.11102.8197920830381.56149759483998
0.12103.2527917988771.59971345844648
0.13103.6770430420651.63057675716058
0.14104.0923247082051.64880222981384
0.15104.4972376830141.65037588719833
0.16104.8897690693741.63373459944039
0.17105.2678567906311.60043121566211
0.18105.6299054272211.55539178313408
0.19105.9751672346851.50519941494363
0.2106.3039159884571.45700011181293
0.21106.6173921770921.41645659895809
0.22106.9175575167011.38704400223754
0.23107.2067392977931.36927679044512
0.24107.4872583573401.36131898124631
0.25107.7611202140151.36000935051424
0.26108.0298178766251.36163767931639
0.27108.2942601284851.36282340875842
0.28108.5548109421551.36105936380117
0.29108.8114091484071.35496192937650
0.3109.0637327058841.34378270841334
0.31109.3113758311821.32813194145307
0.32109.5540156279351.30926976908276
0.33109.7915538920871.28921638122194
0.34110.0242269404821.27031950359442
0.35110.2526805666931.25548010517197
0.36110.4780087881491.24757470177368
0.37110.7017549515051.24977082150474
0.38110.9258733739301.26480456481766
0.39111.1526502467601.29499026127355
0.4111.3845847547661.34159876760088
0.41111.6242353192391.40454071716419
0.42111.8740409099251.48251390200378
0.43112.1361323290101.57235930272245
0.44112.4121519062941.67010977633099
0.45112.7031010212891.77111809743770
0.46113.0092326991581.86971453448949
0.47113.3300013766561.96081537960749
0.48113.6640747079912.03957530566256
0.49114.0094044131142.1022650311393
0.5114.3633462583132.14572034032505
0.51114.7228146429162.16820631367376
0.52115.0844556877992.16895463229158
0.53115.4448241440062.14826721237327
0.54115.8005530889972.10737475502788
0.55116.1485099880742.04803094096664
0.56116.4859368867251.97286273748242
0.57116.8105751538631.88498735757987
0.58117.1207757604731.78781799621143
0.59117.4155946564091.68567911718665
0.6117.6948700656561.58291860584398
0.61117.9592754364881.48457577562120
0.62118.2103393488811.39584277203648
0.63118.4504226519151.32204178323727
0.64118.6826438796421.26810559095891
0.65118.9107466512371.23803957043196
0.66119.1389071755381.23449666675269
0.67119.3714859494181.25815185090844
0.68119.6127350110041.30708032393895
0.69119.8664802637851.37720606138498
0.7120.1358066230671.46241278102001
0.71120.4227806657401.55525464389161
0.72120.7282491062311.64754525010277
0.73121.0517495082771.73103654930025
0.74121.3915602815161.79851209913415
0.75121.7448995682171.84440029383097
0.76122.108258537391.86535730727208
0.77122.4778277765051.86108455635199
0.78122.8499519308181.83405759719862
0.79123.2215344218051.78899058583577
0.8123.5903169069911.73234601649855
0.81123.9549798776571.67066627719580
0.82124.3150492503061.60928672884190
0.83124.6706412137041.55130447633746
0.84125.0221215036871.49705837746874
0.85125.3697813425611.44461739638106
0.86125.7136286843361.39059711105295
0.87126.0533564759641.33227076991890
0.88126.3884893268711.26822423198237
0.89126.7186523953011.19934609174469
0.9127.0438884002091.12807890480427
0.91127.3649995022141.0574560133829
0.92127.6839989849130.989855178983426
0.93128.0048359269960.927385397790715
0.94128.3344204899810.87399778494334
0.95128.6833537216740.838041331164226
0.96129.0643837844730.828786143172519
0.97129.4847382007520.847187047126726
0.98129.9286144822730.885754698278527
0.99130.3350422359180.937401742657


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')