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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 18:33:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286822087s4brs0cilhc1i80.htm/, Retrieved Fri, 29 Mar 2024 02:03:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82656, Retrieved Fri, 29 Mar 2024 02:03:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42 - Sofie Baert
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-10-11 18:33:23] [1ce81d942cb901782da36327f25f651a] [Current]
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Dataseries X:
6.59
6.59
6.59
6.59
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.79
6.79
6.79
6.81
6.80
6.80
6.85
6.85
6.85
6.85
6.85
6.85
6.86
6.86
6.88
6.88
6.88
6.91
6.91
6.91
6.91
6.99
6.99
6.99
7.02
7.02
7.05
7.05
7.05
7.05
7.10
7.10
7.10
7.10
7.12
7.13
7.18
7.24
7.24
7.24
7.27
7.27
7.27
7.27
7.30
7.30
7.57
7.76
7.94
7.94
7.96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82656&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82656&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82656&T=0

As an alternative you can also use a 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'RServer@AstonUniversity' @ vre.aston.ac.uk







Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.59033436098720.00127744051823424
0.026.591574116980650.0046008106272716
0.036.594282984085380.0094326281494112
0.046.598627143407070.0140490846619926
0.056.604216271215980.0167236107037712
0.066.610270821571370.0167438583200545
0.076.615963220048860.0145571157614633
0.086.620706015771470.0112298343083822
0.096.624261772135260.00781098108229177
0.16.626689501822030.00495909025991243
0.116.628215765989890.00291051972058234
0.126.629113027876920.00161492613361942
0.136.629625424655630.000924678164224075
0.146.629943674738820.000774771018300132
0.156.630212521581050.00114335291560511
0.166.630552530468410.00199129382352872
0.176.631083709009320.00340851595111683
0.186.631944325778510.00558651383227864
0.196.63330187974430.00872471204603966
0.26.635354740005790.0129842686489937
0.216.638323776047950.0184593002752367
0.226.642434323831290.0251098835519542
0.236.647890416226470.0327455255785632
0.246.654845075581060.0410096974320412
0.256.663371995518230.0493968032354901
0.266.673444465937150.057332282223824
0.276.684926516589990.0642205810947946
0.286.69757901791220.069551382737943
0.296.71108040168230.0729624464087352
0.36.72505857800470.0742909772065845
0.316.739128386112970.0735980012900775
0.326.752928114613690.0711081340907514
0.336.766149394176520.0672009286278804
0.346.778556759074470.0623031948353771
0.356.789995726130570.0568708224662819
0.366.800390608160060.0512921358257423
0.376.809734890461460.0458896487425781
0.386.818077600245370.0408912678013492
0.396.825508776459420.0364609896225371
0.46.832146230007120.0326942196583058
0.416.838124686108380.0296536901825311
0.426.843587471504270.0273795142151014
0.436.848680342495070.0258906781337791
0.446.853546864440590.0251881045526559
0.456.858324839625650.0252358704770359
0.466.863143476306730.0259725722486145
0.476.868121156397830.0273270289791986
0.486.873363718806540.0292073036147962
0.496.878963133139820.0315333586268173
0.56.884996354108020.0342083714462671
0.516.891524099622080.0371550829969612
0.526.898589346160830.0402722545477628
0.536.906215500301350.0434523401720748
0.546.914404450969020.0465630549961152
0.556.923134958940070.0494764027365233
0.566.932362009846030.0520450942314273
0.576.942017771426570.0541380252365611
0.586.95201462343020.0556414489843804
0.596.96225039253660.0564915685217927
0.66.972615499874070.0566620189319964
0.616.983001322907370.0561847139134651
0.626.99330879776180.0551429962247498
0.637.003456224696920.0536682840998753
0.647.013385415691520.0519103768996231
0.657.023065697871290.0500406498041719
0.667.032495754156130.0482246402371021
0.677.041703694867210.0466059439716361
0.687.050745959061260.0453242622865177
0.697.059705535749040.0444964262283909
0.77.068689562327620.0442186858450659
0.717.077825719424070.0445910679859819
0.727.087256244127830.0456792333408417
0.737.097128147048780.0475023678458699
0.747.107578630321120.0500036092728279
0.757.118715885482520.0530023661305933
0.767.130597247838570.056193250091839
0.777.143208642595510.0591703892478465
0.787.156450731247230.0614618997288686
0.797.17013755646140.0626344316299851
0.87.18401253658910.0623619048938329
0.817.1977846794270.060508774834762
0.827.211185692955810.05720558024596
0.837.224047224229840.0528853208264457
0.847.236397119655740.0483228650617289
0.857.248573297362630.0447182966064453
0.867.261350538340790.0438681247047185
0.877.276064802952520.048164812855418
0.887.294698026686650.059958615241639
0.897.319855440755520.0806422588285986
0.97.354539284105150.110178800547312
0.917.401621863166440.146601994523651
0.927.462979328384980.185223697356102
0.937.538390329707060.218398930255368
0.947.624526678105060.236581041145019
0.957.714602196783430.23099369923785
0.967.79933171013780.197744479715548
0.977.86948199069030.142119009079652
0.987.919213149329130.0802252187509013
0.997.948086826920990.0343779773258331

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.5903343609872 & 0.00127744051823424 \tabularnewline
0.02 & 6.59157411698065 & 0.0046008106272716 \tabularnewline
0.03 & 6.59428298408538 & 0.0094326281494112 \tabularnewline
0.04 & 6.59862714340707 & 0.0140490846619926 \tabularnewline
0.05 & 6.60421627121598 & 0.0167236107037712 \tabularnewline
0.06 & 6.61027082157137 & 0.0167438583200545 \tabularnewline
0.07 & 6.61596322004886 & 0.0145571157614633 \tabularnewline
0.08 & 6.62070601577147 & 0.0112298343083822 \tabularnewline
0.09 & 6.62426177213526 & 0.00781098108229177 \tabularnewline
0.1 & 6.62668950182203 & 0.00495909025991243 \tabularnewline
0.11 & 6.62821576598989 & 0.00291051972058234 \tabularnewline
0.12 & 6.62911302787692 & 0.00161492613361942 \tabularnewline
0.13 & 6.62962542465563 & 0.000924678164224075 \tabularnewline
0.14 & 6.62994367473882 & 0.000774771018300132 \tabularnewline
0.15 & 6.63021252158105 & 0.00114335291560511 \tabularnewline
0.16 & 6.63055253046841 & 0.00199129382352872 \tabularnewline
0.17 & 6.63108370900932 & 0.00340851595111683 \tabularnewline
0.18 & 6.63194432577851 & 0.00558651383227864 \tabularnewline
0.19 & 6.6333018797443 & 0.00872471204603966 \tabularnewline
0.2 & 6.63535474000579 & 0.0129842686489937 \tabularnewline
0.21 & 6.63832377604795 & 0.0184593002752367 \tabularnewline
0.22 & 6.64243432383129 & 0.0251098835519542 \tabularnewline
0.23 & 6.64789041622647 & 0.0327455255785632 \tabularnewline
0.24 & 6.65484507558106 & 0.0410096974320412 \tabularnewline
0.25 & 6.66337199551823 & 0.0493968032354901 \tabularnewline
0.26 & 6.67344446593715 & 0.057332282223824 \tabularnewline
0.27 & 6.68492651658999 & 0.0642205810947946 \tabularnewline
0.28 & 6.6975790179122 & 0.069551382737943 \tabularnewline
0.29 & 6.7110804016823 & 0.0729624464087352 \tabularnewline
0.3 & 6.7250585780047 & 0.0742909772065845 \tabularnewline
0.31 & 6.73912838611297 & 0.0735980012900775 \tabularnewline
0.32 & 6.75292811461369 & 0.0711081340907514 \tabularnewline
0.33 & 6.76614939417652 & 0.0672009286278804 \tabularnewline
0.34 & 6.77855675907447 & 0.0623031948353771 \tabularnewline
0.35 & 6.78999572613057 & 0.0568708224662819 \tabularnewline
0.36 & 6.80039060816006 & 0.0512921358257423 \tabularnewline
0.37 & 6.80973489046146 & 0.0458896487425781 \tabularnewline
0.38 & 6.81807760024537 & 0.0408912678013492 \tabularnewline
0.39 & 6.82550877645942 & 0.0364609896225371 \tabularnewline
0.4 & 6.83214623000712 & 0.0326942196583058 \tabularnewline
0.41 & 6.83812468610838 & 0.0296536901825311 \tabularnewline
0.42 & 6.84358747150427 & 0.0273795142151014 \tabularnewline
0.43 & 6.84868034249507 & 0.0258906781337791 \tabularnewline
0.44 & 6.85354686444059 & 0.0251881045526559 \tabularnewline
0.45 & 6.85832483962565 & 0.0252358704770359 \tabularnewline
0.46 & 6.86314347630673 & 0.0259725722486145 \tabularnewline
0.47 & 6.86812115639783 & 0.0273270289791986 \tabularnewline
0.48 & 6.87336371880654 & 0.0292073036147962 \tabularnewline
0.49 & 6.87896313313982 & 0.0315333586268173 \tabularnewline
0.5 & 6.88499635410802 & 0.0342083714462671 \tabularnewline
0.51 & 6.89152409962208 & 0.0371550829969612 \tabularnewline
0.52 & 6.89858934616083 & 0.0402722545477628 \tabularnewline
0.53 & 6.90621550030135 & 0.0434523401720748 \tabularnewline
0.54 & 6.91440445096902 & 0.0465630549961152 \tabularnewline
0.55 & 6.92313495894007 & 0.0494764027365233 \tabularnewline
0.56 & 6.93236200984603 & 0.0520450942314273 \tabularnewline
0.57 & 6.94201777142657 & 0.0541380252365611 \tabularnewline
0.58 & 6.9520146234302 & 0.0556414489843804 \tabularnewline
0.59 & 6.9622503925366 & 0.0564915685217927 \tabularnewline
0.6 & 6.97261549987407 & 0.0566620189319964 \tabularnewline
0.61 & 6.98300132290737 & 0.0561847139134651 \tabularnewline
0.62 & 6.9933087977618 & 0.0551429962247498 \tabularnewline
0.63 & 7.00345622469692 & 0.0536682840998753 \tabularnewline
0.64 & 7.01338541569152 & 0.0519103768996231 \tabularnewline
0.65 & 7.02306569787129 & 0.0500406498041719 \tabularnewline
0.66 & 7.03249575415613 & 0.0482246402371021 \tabularnewline
0.67 & 7.04170369486721 & 0.0466059439716361 \tabularnewline
0.68 & 7.05074595906126 & 0.0453242622865177 \tabularnewline
0.69 & 7.05970553574904 & 0.0444964262283909 \tabularnewline
0.7 & 7.06868956232762 & 0.0442186858450659 \tabularnewline
0.71 & 7.07782571942407 & 0.0445910679859819 \tabularnewline
0.72 & 7.08725624412783 & 0.0456792333408417 \tabularnewline
0.73 & 7.09712814704878 & 0.0475023678458699 \tabularnewline
0.74 & 7.10757863032112 & 0.0500036092728279 \tabularnewline
0.75 & 7.11871588548252 & 0.0530023661305933 \tabularnewline
0.76 & 7.13059724783857 & 0.056193250091839 \tabularnewline
0.77 & 7.14320864259551 & 0.0591703892478465 \tabularnewline
0.78 & 7.15645073124723 & 0.0614618997288686 \tabularnewline
0.79 & 7.1701375564614 & 0.0626344316299851 \tabularnewline
0.8 & 7.1840125365891 & 0.0623619048938329 \tabularnewline
0.81 & 7.197784679427 & 0.060508774834762 \tabularnewline
0.82 & 7.21118569295581 & 0.05720558024596 \tabularnewline
0.83 & 7.22404722422984 & 0.0528853208264457 \tabularnewline
0.84 & 7.23639711965574 & 0.0483228650617289 \tabularnewline
0.85 & 7.24857329736263 & 0.0447182966064453 \tabularnewline
0.86 & 7.26135053834079 & 0.0438681247047185 \tabularnewline
0.87 & 7.27606480295252 & 0.048164812855418 \tabularnewline
0.88 & 7.29469802668665 & 0.059958615241639 \tabularnewline
0.89 & 7.31985544075552 & 0.0806422588285986 \tabularnewline
0.9 & 7.35453928410515 & 0.110178800547312 \tabularnewline
0.91 & 7.40162186316644 & 0.146601994523651 \tabularnewline
0.92 & 7.46297932838498 & 0.185223697356102 \tabularnewline
0.93 & 7.53839032970706 & 0.218398930255368 \tabularnewline
0.94 & 7.62452667810506 & 0.236581041145019 \tabularnewline
0.95 & 7.71460219678343 & 0.23099369923785 \tabularnewline
0.96 & 7.7993317101378 & 0.197744479715548 \tabularnewline
0.97 & 7.8694819906903 & 0.142119009079652 \tabularnewline
0.98 & 7.91921314932913 & 0.0802252187509013 \tabularnewline
0.99 & 7.94808682692099 & 0.0343779773258331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82656&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]6.5903343609872[/C][C]0.00127744051823424[/C][/ROW]
[ROW][C]0.02[/C][C]6.59157411698065[/C][C]0.0046008106272716[/C][/ROW]
[ROW][C]0.03[/C][C]6.59428298408538[/C][C]0.0094326281494112[/C][/ROW]
[ROW][C]0.04[/C][C]6.59862714340707[/C][C]0.0140490846619926[/C][/ROW]
[ROW][C]0.05[/C][C]6.60421627121598[/C][C]0.0167236107037712[/C][/ROW]
[ROW][C]0.06[/C][C]6.61027082157137[/C][C]0.0167438583200545[/C][/ROW]
[ROW][C]0.07[/C][C]6.61596322004886[/C][C]0.0145571157614633[/C][/ROW]
[ROW][C]0.08[/C][C]6.62070601577147[/C][C]0.0112298343083822[/C][/ROW]
[ROW][C]0.09[/C][C]6.62426177213526[/C][C]0.00781098108229177[/C][/ROW]
[ROW][C]0.1[/C][C]6.62668950182203[/C][C]0.00495909025991243[/C][/ROW]
[ROW][C]0.11[/C][C]6.62821576598989[/C][C]0.00291051972058234[/C][/ROW]
[ROW][C]0.12[/C][C]6.62911302787692[/C][C]0.00161492613361942[/C][/ROW]
[ROW][C]0.13[/C][C]6.62962542465563[/C][C]0.000924678164224075[/C][/ROW]
[ROW][C]0.14[/C][C]6.62994367473882[/C][C]0.000774771018300132[/C][/ROW]
[ROW][C]0.15[/C][C]6.63021252158105[/C][C]0.00114335291560511[/C][/ROW]
[ROW][C]0.16[/C][C]6.63055253046841[/C][C]0.00199129382352872[/C][/ROW]
[ROW][C]0.17[/C][C]6.63108370900932[/C][C]0.00340851595111683[/C][/ROW]
[ROW][C]0.18[/C][C]6.63194432577851[/C][C]0.00558651383227864[/C][/ROW]
[ROW][C]0.19[/C][C]6.6333018797443[/C][C]0.00872471204603966[/C][/ROW]
[ROW][C]0.2[/C][C]6.63535474000579[/C][C]0.0129842686489937[/C][/ROW]
[ROW][C]0.21[/C][C]6.63832377604795[/C][C]0.0184593002752367[/C][/ROW]
[ROW][C]0.22[/C][C]6.64243432383129[/C][C]0.0251098835519542[/C][/ROW]
[ROW][C]0.23[/C][C]6.64789041622647[/C][C]0.0327455255785632[/C][/ROW]
[ROW][C]0.24[/C][C]6.65484507558106[/C][C]0.0410096974320412[/C][/ROW]
[ROW][C]0.25[/C][C]6.66337199551823[/C][C]0.0493968032354901[/C][/ROW]
[ROW][C]0.26[/C][C]6.67344446593715[/C][C]0.057332282223824[/C][/ROW]
[ROW][C]0.27[/C][C]6.68492651658999[/C][C]0.0642205810947946[/C][/ROW]
[ROW][C]0.28[/C][C]6.6975790179122[/C][C]0.069551382737943[/C][/ROW]
[ROW][C]0.29[/C][C]6.7110804016823[/C][C]0.0729624464087352[/C][/ROW]
[ROW][C]0.3[/C][C]6.7250585780047[/C][C]0.0742909772065845[/C][/ROW]
[ROW][C]0.31[/C][C]6.73912838611297[/C][C]0.0735980012900775[/C][/ROW]
[ROW][C]0.32[/C][C]6.75292811461369[/C][C]0.0711081340907514[/C][/ROW]
[ROW][C]0.33[/C][C]6.76614939417652[/C][C]0.0672009286278804[/C][/ROW]
[ROW][C]0.34[/C][C]6.77855675907447[/C][C]0.0623031948353771[/C][/ROW]
[ROW][C]0.35[/C][C]6.78999572613057[/C][C]0.0568708224662819[/C][/ROW]
[ROW][C]0.36[/C][C]6.80039060816006[/C][C]0.0512921358257423[/C][/ROW]
[ROW][C]0.37[/C][C]6.80973489046146[/C][C]0.0458896487425781[/C][/ROW]
[ROW][C]0.38[/C][C]6.81807760024537[/C][C]0.0408912678013492[/C][/ROW]
[ROW][C]0.39[/C][C]6.82550877645942[/C][C]0.0364609896225371[/C][/ROW]
[ROW][C]0.4[/C][C]6.83214623000712[/C][C]0.0326942196583058[/C][/ROW]
[ROW][C]0.41[/C][C]6.83812468610838[/C][C]0.0296536901825311[/C][/ROW]
[ROW][C]0.42[/C][C]6.84358747150427[/C][C]0.0273795142151014[/C][/ROW]
[ROW][C]0.43[/C][C]6.84868034249507[/C][C]0.0258906781337791[/C][/ROW]
[ROW][C]0.44[/C][C]6.85354686444059[/C][C]0.0251881045526559[/C][/ROW]
[ROW][C]0.45[/C][C]6.85832483962565[/C][C]0.0252358704770359[/C][/ROW]
[ROW][C]0.46[/C][C]6.86314347630673[/C][C]0.0259725722486145[/C][/ROW]
[ROW][C]0.47[/C][C]6.86812115639783[/C][C]0.0273270289791986[/C][/ROW]
[ROW][C]0.48[/C][C]6.87336371880654[/C][C]0.0292073036147962[/C][/ROW]
[ROW][C]0.49[/C][C]6.87896313313982[/C][C]0.0315333586268173[/C][/ROW]
[ROW][C]0.5[/C][C]6.88499635410802[/C][C]0.0342083714462671[/C][/ROW]
[ROW][C]0.51[/C][C]6.89152409962208[/C][C]0.0371550829969612[/C][/ROW]
[ROW][C]0.52[/C][C]6.89858934616083[/C][C]0.0402722545477628[/C][/ROW]
[ROW][C]0.53[/C][C]6.90621550030135[/C][C]0.0434523401720748[/C][/ROW]
[ROW][C]0.54[/C][C]6.91440445096902[/C][C]0.0465630549961152[/C][/ROW]
[ROW][C]0.55[/C][C]6.92313495894007[/C][C]0.0494764027365233[/C][/ROW]
[ROW][C]0.56[/C][C]6.93236200984603[/C][C]0.0520450942314273[/C][/ROW]
[ROW][C]0.57[/C][C]6.94201777142657[/C][C]0.0541380252365611[/C][/ROW]
[ROW][C]0.58[/C][C]6.9520146234302[/C][C]0.0556414489843804[/C][/ROW]
[ROW][C]0.59[/C][C]6.9622503925366[/C][C]0.0564915685217927[/C][/ROW]
[ROW][C]0.6[/C][C]6.97261549987407[/C][C]0.0566620189319964[/C][/ROW]
[ROW][C]0.61[/C][C]6.98300132290737[/C][C]0.0561847139134651[/C][/ROW]
[ROW][C]0.62[/C][C]6.9933087977618[/C][C]0.0551429962247498[/C][/ROW]
[ROW][C]0.63[/C][C]7.00345622469692[/C][C]0.0536682840998753[/C][/ROW]
[ROW][C]0.64[/C][C]7.01338541569152[/C][C]0.0519103768996231[/C][/ROW]
[ROW][C]0.65[/C][C]7.02306569787129[/C][C]0.0500406498041719[/C][/ROW]
[ROW][C]0.66[/C][C]7.03249575415613[/C][C]0.0482246402371021[/C][/ROW]
[ROW][C]0.67[/C][C]7.04170369486721[/C][C]0.0466059439716361[/C][/ROW]
[ROW][C]0.68[/C][C]7.05074595906126[/C][C]0.0453242622865177[/C][/ROW]
[ROW][C]0.69[/C][C]7.05970553574904[/C][C]0.0444964262283909[/C][/ROW]
[ROW][C]0.7[/C][C]7.06868956232762[/C][C]0.0442186858450659[/C][/ROW]
[ROW][C]0.71[/C][C]7.07782571942407[/C][C]0.0445910679859819[/C][/ROW]
[ROW][C]0.72[/C][C]7.08725624412783[/C][C]0.0456792333408417[/C][/ROW]
[ROW][C]0.73[/C][C]7.09712814704878[/C][C]0.0475023678458699[/C][/ROW]
[ROW][C]0.74[/C][C]7.10757863032112[/C][C]0.0500036092728279[/C][/ROW]
[ROW][C]0.75[/C][C]7.11871588548252[/C][C]0.0530023661305933[/C][/ROW]
[ROW][C]0.76[/C][C]7.13059724783857[/C][C]0.056193250091839[/C][/ROW]
[ROW][C]0.77[/C][C]7.14320864259551[/C][C]0.0591703892478465[/C][/ROW]
[ROW][C]0.78[/C][C]7.15645073124723[/C][C]0.0614618997288686[/C][/ROW]
[ROW][C]0.79[/C][C]7.1701375564614[/C][C]0.0626344316299851[/C][/ROW]
[ROW][C]0.8[/C][C]7.1840125365891[/C][C]0.0623619048938329[/C][/ROW]
[ROW][C]0.81[/C][C]7.197784679427[/C][C]0.060508774834762[/C][/ROW]
[ROW][C]0.82[/C][C]7.21118569295581[/C][C]0.05720558024596[/C][/ROW]
[ROW][C]0.83[/C][C]7.22404722422984[/C][C]0.0528853208264457[/C][/ROW]
[ROW][C]0.84[/C][C]7.23639711965574[/C][C]0.0483228650617289[/C][/ROW]
[ROW][C]0.85[/C][C]7.24857329736263[/C][C]0.0447182966064453[/C][/ROW]
[ROW][C]0.86[/C][C]7.26135053834079[/C][C]0.0438681247047185[/C][/ROW]
[ROW][C]0.87[/C][C]7.27606480295252[/C][C]0.048164812855418[/C][/ROW]
[ROW][C]0.88[/C][C]7.29469802668665[/C][C]0.059958615241639[/C][/ROW]
[ROW][C]0.89[/C][C]7.31985544075552[/C][C]0.0806422588285986[/C][/ROW]
[ROW][C]0.9[/C][C]7.35453928410515[/C][C]0.110178800547312[/C][/ROW]
[ROW][C]0.91[/C][C]7.40162186316644[/C][C]0.146601994523651[/C][/ROW]
[ROW][C]0.92[/C][C]7.46297932838498[/C][C]0.185223697356102[/C][/ROW]
[ROW][C]0.93[/C][C]7.53839032970706[/C][C]0.218398930255368[/C][/ROW]
[ROW][C]0.94[/C][C]7.62452667810506[/C][C]0.236581041145019[/C][/ROW]
[ROW][C]0.95[/C][C]7.71460219678343[/C][C]0.23099369923785[/C][/ROW]
[ROW][C]0.96[/C][C]7.7993317101378[/C][C]0.197744479715548[/C][/ROW]
[ROW][C]0.97[/C][C]7.8694819906903[/C][C]0.142119009079652[/C][/ROW]
[ROW][C]0.98[/C][C]7.91921314932913[/C][C]0.0802252187509013[/C][/ROW]
[ROW][C]0.99[/C][C]7.94808682692099[/C][C]0.0343779773258331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82656&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82656&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.59033436098720.00127744051823424
0.026.591574116980650.0046008106272716
0.036.594282984085380.0094326281494112
0.046.598627143407070.0140490846619926
0.056.604216271215980.0167236107037712
0.066.610270821571370.0167438583200545
0.076.615963220048860.0145571157614633
0.086.620706015771470.0112298343083822
0.096.624261772135260.00781098108229177
0.16.626689501822030.00495909025991243
0.116.628215765989890.00291051972058234
0.126.629113027876920.00161492613361942
0.136.629625424655630.000924678164224075
0.146.629943674738820.000774771018300132
0.156.630212521581050.00114335291560511
0.166.630552530468410.00199129382352872
0.176.631083709009320.00340851595111683
0.186.631944325778510.00558651383227864
0.196.63330187974430.00872471204603966
0.26.635354740005790.0129842686489937
0.216.638323776047950.0184593002752367
0.226.642434323831290.0251098835519542
0.236.647890416226470.0327455255785632
0.246.654845075581060.0410096974320412
0.256.663371995518230.0493968032354901
0.266.673444465937150.057332282223824
0.276.684926516589990.0642205810947946
0.286.69757901791220.069551382737943
0.296.71108040168230.0729624464087352
0.36.72505857800470.0742909772065845
0.316.739128386112970.0735980012900775
0.326.752928114613690.0711081340907514
0.336.766149394176520.0672009286278804
0.346.778556759074470.0623031948353771
0.356.789995726130570.0568708224662819
0.366.800390608160060.0512921358257423
0.376.809734890461460.0458896487425781
0.386.818077600245370.0408912678013492
0.396.825508776459420.0364609896225371
0.46.832146230007120.0326942196583058
0.416.838124686108380.0296536901825311
0.426.843587471504270.0273795142151014
0.436.848680342495070.0258906781337791
0.446.853546864440590.0251881045526559
0.456.858324839625650.0252358704770359
0.466.863143476306730.0259725722486145
0.476.868121156397830.0273270289791986
0.486.873363718806540.0292073036147962
0.496.878963133139820.0315333586268173
0.56.884996354108020.0342083714462671
0.516.891524099622080.0371550829969612
0.526.898589346160830.0402722545477628
0.536.906215500301350.0434523401720748
0.546.914404450969020.0465630549961152
0.556.923134958940070.0494764027365233
0.566.932362009846030.0520450942314273
0.576.942017771426570.0541380252365611
0.586.95201462343020.0556414489843804
0.596.96225039253660.0564915685217927
0.66.972615499874070.0566620189319964
0.616.983001322907370.0561847139134651
0.626.99330879776180.0551429962247498
0.637.003456224696920.0536682840998753
0.647.013385415691520.0519103768996231
0.657.023065697871290.0500406498041719
0.667.032495754156130.0482246402371021
0.677.041703694867210.0466059439716361
0.687.050745959061260.0453242622865177
0.697.059705535749040.0444964262283909
0.77.068689562327620.0442186858450659
0.717.077825719424070.0445910679859819
0.727.087256244127830.0456792333408417
0.737.097128147048780.0475023678458699
0.747.107578630321120.0500036092728279
0.757.118715885482520.0530023661305933
0.767.130597247838570.056193250091839
0.777.143208642595510.0591703892478465
0.787.156450731247230.0614618997288686
0.797.17013755646140.0626344316299851
0.87.18401253658910.0623619048938329
0.817.1977846794270.060508774834762
0.827.211185692955810.05720558024596
0.837.224047224229840.0528853208264457
0.847.236397119655740.0483228650617289
0.857.248573297362630.0447182966064453
0.867.261350538340790.0438681247047185
0.877.276064802952520.048164812855418
0.887.294698026686650.059958615241639
0.897.319855440755520.0806422588285986
0.97.354539284105150.110178800547312
0.917.401621863166440.146601994523651
0.927.462979328384980.185223697356102
0.937.538390329707060.218398930255368
0.947.624526678105060.236581041145019
0.957.714602196783430.23099369923785
0.967.79933171013780.197744479715548
0.977.86948199069030.142119009079652
0.987.919213149329130.0802252187509013
0.997.948086826920990.0343779773258331



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')