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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, 06 Oct 2014 15:25:36 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/06/t14126055713kmzctgw75jarz1.htm/, Retrieved Mon, 13 May 2024 00:03:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239015, Retrieved Mon, 13 May 2024 00:03:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSimon Dewilde
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-06 14:25:36] [1a08c6aa6bf9a3504070a6066c5cb670] [Current]
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Dataseries X:
1.64
1.65
1.65
1.66
1.67
1.67
1.68
1.68
1.69
1.7
1.71
1.72
1.72
1.73
1.73
1.73
1.73
1.74
1.75
1.75
1.75
1.76
1.76
1.76
1.77
1.78
1.78
1.79
1.79
1.79
1.79
1.79
1.83
1.83
1.83
1.83
1.84
1.84
1.84
1.85
1.85
1.85
1.86
1.86
1.86
1.87
1.87
1.88
1.88
1.88
1.89
1.89
1.9
1.91
1.91
1.91
1.91
1.91
1.92
1.92
1.92
1.93
1.94
1.94
1.94
1.95
1.95
1.95
1.95
1.96
1.96
1.97




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239015&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239015&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239015&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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.642838487745720.00817740658197301
0.021.647022269523480.00713872825061608
0.031.651474756552640.00795378672880961
0.041.655918623263020.00952607950798552
0.051.660402482797150.0108015686357862
0.061.664945277081470.0116470317709727
0.071.669515579210520.0123761552685642
0.081.674103287167610.0132804866768464
0.091.678740386363220.0144331335327593
0.11.683471461314560.0156999410145294
0.111.688316062290440.0168633027175691
0.121.693249168534690.0177207011207682
0.131.698203840292760.0181382751864436
0.141.703088634140650.0180807747275699
0.151.707810036655740.0176025528343719
0.161.712292216985290.0168245079063843
0.171.716489657862630.0159049027392853
0.181.720391297647730.0150018332006075
0.191.724017164413840.0142471687447462
0.21.727409913311880.0137231070944194
0.211.730624190002210.0134550598417889
0.221.733716487494110.0134166007295171
0.231.736737393975010.013554047822117
0.241.739727133991070.0137994958054969
0.251.742714352336450.0141036092714294
0.261.745717383426310.0144294756379047
0.271.74874690097750.0147604452175381
0.281.751808861330560.0150971320966579
0.291.754906951979780.0154447853530049
0.31.758044187191730.0158074815434097
0.311.761223695748630.016185819730044
0.321.764448999999660.0165805553724787
0.331.767724138547480.0169874900565311
0.341.771053861542290.0174128051039559
0.351.774443910159120.0178594224652168
0.361.777901185994480.0183458763133928
0.371.781433512350610.0188831005750332
0.381.785048733647560.0194765916326183
0.391.788753080342290.0201154591047321
0.41.792548983118440.020770955098508
0.411.79643276228440.0213930431191862
0.421.800392759690660.0219208749313104
0.431.804408466109390.022289210697281
0.441.808451021347430.0224461902449854
0.451.812485172446330.0223527530201724
0.461.816472447659810.0220018972348538
0.471.820375030391080.0214097866475922
0.481.824159669345590.0206208349705494
0.491.827800971322090.0196951840131869
0.51.831283578132060.0187062746910285
0.511.834602978175680.0177233150806239
0.521.83776497627120.0168075866037001
0.531.840784075718020.0160074175261699
0.541.843681168935650.015351640422453
0.551.846480972259250.0148504070961719
0.561.849209589943610.0145017502110691
0.571.851892483963140.0142911590850629
0.581.854552996713340.0141979938187763
0.591.857211453513270.0142009427317117
0.61.859884778156350.0142760945726402
0.611.862586491967690.0144042727685067
0.621.865326931344630.0145680421882178
0.631.868113506199440.0147520663375658
0.641.870950832235660.0149464627445312
0.651.873840609209870.015135525785603
0.661.876781192109840.0153070174755857
0.671.87976691270770.0154401202065392
0.681.882787340912330.0155112766403206
0.691.885826796736260.0154916628032314
0.71.888864489735740.0153504180300627
0.711.891875629643560.0150648278402881
0.721.894833695527560.0146242306028526
0.731.897713783553750.0140366410982623
0.741.90049663015270.0133352438471605
0.751.903172615065120.0125731348765256
0.761.905744880855360.0118265028048337
0.771.908230729957590.0111770242612488
0.781.910660694848910.0106975508094058
0.791.913075083105590.0104407797286885
0.81.915518296747990.010417675627013
0.811.918031716338890.010593081147273
0.821.920646325971590.0108936619440438
0.831.923376440560820.0112198438732079
0.841.926215797317330.0114667592324609
0.851.929136852448440.0115377268445092
0.861.932093468953740.0113684081718868
0.871.935026562042840.0109275235868215
0.881.937872064033690.0102270354958429
0.891.940570960542620.00930755142155293
0.91.943081666328530.00824072410907892
0.911.945394387244840.00713114513045784
0.921.947544166150560.00612868104075095
0.931.949615200705460.00542812002449173
0.941.951729490668360.00517625474845951
0.951.954025199717850.00528177673589457
0.961.956647364694350.00542739585672736
0.971.959752266675330.00552173732092687
0.981.963415310560680.00618297968736984
0.991.967252257509730.00798163754005811

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.64283848774572 & 0.00817740658197301 \tabularnewline
0.02 & 1.64702226952348 & 0.00713872825061608 \tabularnewline
0.03 & 1.65147475655264 & 0.00795378672880961 \tabularnewline
0.04 & 1.65591862326302 & 0.00952607950798552 \tabularnewline
0.05 & 1.66040248279715 & 0.0108015686357862 \tabularnewline
0.06 & 1.66494527708147 & 0.0116470317709727 \tabularnewline
0.07 & 1.66951557921052 & 0.0123761552685642 \tabularnewline
0.08 & 1.67410328716761 & 0.0132804866768464 \tabularnewline
0.09 & 1.67874038636322 & 0.0144331335327593 \tabularnewline
0.1 & 1.68347146131456 & 0.0156999410145294 \tabularnewline
0.11 & 1.68831606229044 & 0.0168633027175691 \tabularnewline
0.12 & 1.69324916853469 & 0.0177207011207682 \tabularnewline
0.13 & 1.69820384029276 & 0.0181382751864436 \tabularnewline
0.14 & 1.70308863414065 & 0.0180807747275699 \tabularnewline
0.15 & 1.70781003665574 & 0.0176025528343719 \tabularnewline
0.16 & 1.71229221698529 & 0.0168245079063843 \tabularnewline
0.17 & 1.71648965786263 & 0.0159049027392853 \tabularnewline
0.18 & 1.72039129764773 & 0.0150018332006075 \tabularnewline
0.19 & 1.72401716441384 & 0.0142471687447462 \tabularnewline
0.2 & 1.72740991331188 & 0.0137231070944194 \tabularnewline
0.21 & 1.73062419000221 & 0.0134550598417889 \tabularnewline
0.22 & 1.73371648749411 & 0.0134166007295171 \tabularnewline
0.23 & 1.73673739397501 & 0.013554047822117 \tabularnewline
0.24 & 1.73972713399107 & 0.0137994958054969 \tabularnewline
0.25 & 1.74271435233645 & 0.0141036092714294 \tabularnewline
0.26 & 1.74571738342631 & 0.0144294756379047 \tabularnewline
0.27 & 1.7487469009775 & 0.0147604452175381 \tabularnewline
0.28 & 1.75180886133056 & 0.0150971320966579 \tabularnewline
0.29 & 1.75490695197978 & 0.0154447853530049 \tabularnewline
0.3 & 1.75804418719173 & 0.0158074815434097 \tabularnewline
0.31 & 1.76122369574863 & 0.016185819730044 \tabularnewline
0.32 & 1.76444899999966 & 0.0165805553724787 \tabularnewline
0.33 & 1.76772413854748 & 0.0169874900565311 \tabularnewline
0.34 & 1.77105386154229 & 0.0174128051039559 \tabularnewline
0.35 & 1.77444391015912 & 0.0178594224652168 \tabularnewline
0.36 & 1.77790118599448 & 0.0183458763133928 \tabularnewline
0.37 & 1.78143351235061 & 0.0188831005750332 \tabularnewline
0.38 & 1.78504873364756 & 0.0194765916326183 \tabularnewline
0.39 & 1.78875308034229 & 0.0201154591047321 \tabularnewline
0.4 & 1.79254898311844 & 0.020770955098508 \tabularnewline
0.41 & 1.7964327622844 & 0.0213930431191862 \tabularnewline
0.42 & 1.80039275969066 & 0.0219208749313104 \tabularnewline
0.43 & 1.80440846610939 & 0.022289210697281 \tabularnewline
0.44 & 1.80845102134743 & 0.0224461902449854 \tabularnewline
0.45 & 1.81248517244633 & 0.0223527530201724 \tabularnewline
0.46 & 1.81647244765981 & 0.0220018972348538 \tabularnewline
0.47 & 1.82037503039108 & 0.0214097866475922 \tabularnewline
0.48 & 1.82415966934559 & 0.0206208349705494 \tabularnewline
0.49 & 1.82780097132209 & 0.0196951840131869 \tabularnewline
0.5 & 1.83128357813206 & 0.0187062746910285 \tabularnewline
0.51 & 1.83460297817568 & 0.0177233150806239 \tabularnewline
0.52 & 1.8377649762712 & 0.0168075866037001 \tabularnewline
0.53 & 1.84078407571802 & 0.0160074175261699 \tabularnewline
0.54 & 1.84368116893565 & 0.015351640422453 \tabularnewline
0.55 & 1.84648097225925 & 0.0148504070961719 \tabularnewline
0.56 & 1.84920958994361 & 0.0145017502110691 \tabularnewline
0.57 & 1.85189248396314 & 0.0142911590850629 \tabularnewline
0.58 & 1.85455299671334 & 0.0141979938187763 \tabularnewline
0.59 & 1.85721145351327 & 0.0142009427317117 \tabularnewline
0.6 & 1.85988477815635 & 0.0142760945726402 \tabularnewline
0.61 & 1.86258649196769 & 0.0144042727685067 \tabularnewline
0.62 & 1.86532693134463 & 0.0145680421882178 \tabularnewline
0.63 & 1.86811350619944 & 0.0147520663375658 \tabularnewline
0.64 & 1.87095083223566 & 0.0149464627445312 \tabularnewline
0.65 & 1.87384060920987 & 0.015135525785603 \tabularnewline
0.66 & 1.87678119210984 & 0.0153070174755857 \tabularnewline
0.67 & 1.8797669127077 & 0.0154401202065392 \tabularnewline
0.68 & 1.88278734091233 & 0.0155112766403206 \tabularnewline
0.69 & 1.88582679673626 & 0.0154916628032314 \tabularnewline
0.7 & 1.88886448973574 & 0.0153504180300627 \tabularnewline
0.71 & 1.89187562964356 & 0.0150648278402881 \tabularnewline
0.72 & 1.89483369552756 & 0.0146242306028526 \tabularnewline
0.73 & 1.89771378355375 & 0.0140366410982623 \tabularnewline
0.74 & 1.9004966301527 & 0.0133352438471605 \tabularnewline
0.75 & 1.90317261506512 & 0.0125731348765256 \tabularnewline
0.76 & 1.90574488085536 & 0.0118265028048337 \tabularnewline
0.77 & 1.90823072995759 & 0.0111770242612488 \tabularnewline
0.78 & 1.91066069484891 & 0.0106975508094058 \tabularnewline
0.79 & 1.91307508310559 & 0.0104407797286885 \tabularnewline
0.8 & 1.91551829674799 & 0.010417675627013 \tabularnewline
0.81 & 1.91803171633889 & 0.010593081147273 \tabularnewline
0.82 & 1.92064632597159 & 0.0108936619440438 \tabularnewline
0.83 & 1.92337644056082 & 0.0112198438732079 \tabularnewline
0.84 & 1.92621579731733 & 0.0114667592324609 \tabularnewline
0.85 & 1.92913685244844 & 0.0115377268445092 \tabularnewline
0.86 & 1.93209346895374 & 0.0113684081718868 \tabularnewline
0.87 & 1.93502656204284 & 0.0109275235868215 \tabularnewline
0.88 & 1.93787206403369 & 0.0102270354958429 \tabularnewline
0.89 & 1.94057096054262 & 0.00930755142155293 \tabularnewline
0.9 & 1.94308166632853 & 0.00824072410907892 \tabularnewline
0.91 & 1.94539438724484 & 0.00713114513045784 \tabularnewline
0.92 & 1.94754416615056 & 0.00612868104075095 \tabularnewline
0.93 & 1.94961520070546 & 0.00542812002449173 \tabularnewline
0.94 & 1.95172949066836 & 0.00517625474845951 \tabularnewline
0.95 & 1.95402519971785 & 0.00528177673589457 \tabularnewline
0.96 & 1.95664736469435 & 0.00542739585672736 \tabularnewline
0.97 & 1.95975226667533 & 0.00552173732092687 \tabularnewline
0.98 & 1.96341531056068 & 0.00618297968736984 \tabularnewline
0.99 & 1.96725225750973 & 0.00798163754005811 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239015&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]1.64283848774572[/C][C]0.00817740658197301[/C][/ROW]
[ROW][C]0.02[/C][C]1.64702226952348[/C][C]0.00713872825061608[/C][/ROW]
[ROW][C]0.03[/C][C]1.65147475655264[/C][C]0.00795378672880961[/C][/ROW]
[ROW][C]0.04[/C][C]1.65591862326302[/C][C]0.00952607950798552[/C][/ROW]
[ROW][C]0.05[/C][C]1.66040248279715[/C][C]0.0108015686357862[/C][/ROW]
[ROW][C]0.06[/C][C]1.66494527708147[/C][C]0.0116470317709727[/C][/ROW]
[ROW][C]0.07[/C][C]1.66951557921052[/C][C]0.0123761552685642[/C][/ROW]
[ROW][C]0.08[/C][C]1.67410328716761[/C][C]0.0132804866768464[/C][/ROW]
[ROW][C]0.09[/C][C]1.67874038636322[/C][C]0.0144331335327593[/C][/ROW]
[ROW][C]0.1[/C][C]1.68347146131456[/C][C]0.0156999410145294[/C][/ROW]
[ROW][C]0.11[/C][C]1.68831606229044[/C][C]0.0168633027175691[/C][/ROW]
[ROW][C]0.12[/C][C]1.69324916853469[/C][C]0.0177207011207682[/C][/ROW]
[ROW][C]0.13[/C][C]1.69820384029276[/C][C]0.0181382751864436[/C][/ROW]
[ROW][C]0.14[/C][C]1.70308863414065[/C][C]0.0180807747275699[/C][/ROW]
[ROW][C]0.15[/C][C]1.70781003665574[/C][C]0.0176025528343719[/C][/ROW]
[ROW][C]0.16[/C][C]1.71229221698529[/C][C]0.0168245079063843[/C][/ROW]
[ROW][C]0.17[/C][C]1.71648965786263[/C][C]0.0159049027392853[/C][/ROW]
[ROW][C]0.18[/C][C]1.72039129764773[/C][C]0.0150018332006075[/C][/ROW]
[ROW][C]0.19[/C][C]1.72401716441384[/C][C]0.0142471687447462[/C][/ROW]
[ROW][C]0.2[/C][C]1.72740991331188[/C][C]0.0137231070944194[/C][/ROW]
[ROW][C]0.21[/C][C]1.73062419000221[/C][C]0.0134550598417889[/C][/ROW]
[ROW][C]0.22[/C][C]1.73371648749411[/C][C]0.0134166007295171[/C][/ROW]
[ROW][C]0.23[/C][C]1.73673739397501[/C][C]0.013554047822117[/C][/ROW]
[ROW][C]0.24[/C][C]1.73972713399107[/C][C]0.0137994958054969[/C][/ROW]
[ROW][C]0.25[/C][C]1.74271435233645[/C][C]0.0141036092714294[/C][/ROW]
[ROW][C]0.26[/C][C]1.74571738342631[/C][C]0.0144294756379047[/C][/ROW]
[ROW][C]0.27[/C][C]1.7487469009775[/C][C]0.0147604452175381[/C][/ROW]
[ROW][C]0.28[/C][C]1.75180886133056[/C][C]0.0150971320966579[/C][/ROW]
[ROW][C]0.29[/C][C]1.75490695197978[/C][C]0.0154447853530049[/C][/ROW]
[ROW][C]0.3[/C][C]1.75804418719173[/C][C]0.0158074815434097[/C][/ROW]
[ROW][C]0.31[/C][C]1.76122369574863[/C][C]0.016185819730044[/C][/ROW]
[ROW][C]0.32[/C][C]1.76444899999966[/C][C]0.0165805553724787[/C][/ROW]
[ROW][C]0.33[/C][C]1.76772413854748[/C][C]0.0169874900565311[/C][/ROW]
[ROW][C]0.34[/C][C]1.77105386154229[/C][C]0.0174128051039559[/C][/ROW]
[ROW][C]0.35[/C][C]1.77444391015912[/C][C]0.0178594224652168[/C][/ROW]
[ROW][C]0.36[/C][C]1.77790118599448[/C][C]0.0183458763133928[/C][/ROW]
[ROW][C]0.37[/C][C]1.78143351235061[/C][C]0.0188831005750332[/C][/ROW]
[ROW][C]0.38[/C][C]1.78504873364756[/C][C]0.0194765916326183[/C][/ROW]
[ROW][C]0.39[/C][C]1.78875308034229[/C][C]0.0201154591047321[/C][/ROW]
[ROW][C]0.4[/C][C]1.79254898311844[/C][C]0.020770955098508[/C][/ROW]
[ROW][C]0.41[/C][C]1.7964327622844[/C][C]0.0213930431191862[/C][/ROW]
[ROW][C]0.42[/C][C]1.80039275969066[/C][C]0.0219208749313104[/C][/ROW]
[ROW][C]0.43[/C][C]1.80440846610939[/C][C]0.022289210697281[/C][/ROW]
[ROW][C]0.44[/C][C]1.80845102134743[/C][C]0.0224461902449854[/C][/ROW]
[ROW][C]0.45[/C][C]1.81248517244633[/C][C]0.0223527530201724[/C][/ROW]
[ROW][C]0.46[/C][C]1.81647244765981[/C][C]0.0220018972348538[/C][/ROW]
[ROW][C]0.47[/C][C]1.82037503039108[/C][C]0.0214097866475922[/C][/ROW]
[ROW][C]0.48[/C][C]1.82415966934559[/C][C]0.0206208349705494[/C][/ROW]
[ROW][C]0.49[/C][C]1.82780097132209[/C][C]0.0196951840131869[/C][/ROW]
[ROW][C]0.5[/C][C]1.83128357813206[/C][C]0.0187062746910285[/C][/ROW]
[ROW][C]0.51[/C][C]1.83460297817568[/C][C]0.0177233150806239[/C][/ROW]
[ROW][C]0.52[/C][C]1.8377649762712[/C][C]0.0168075866037001[/C][/ROW]
[ROW][C]0.53[/C][C]1.84078407571802[/C][C]0.0160074175261699[/C][/ROW]
[ROW][C]0.54[/C][C]1.84368116893565[/C][C]0.015351640422453[/C][/ROW]
[ROW][C]0.55[/C][C]1.84648097225925[/C][C]0.0148504070961719[/C][/ROW]
[ROW][C]0.56[/C][C]1.84920958994361[/C][C]0.0145017502110691[/C][/ROW]
[ROW][C]0.57[/C][C]1.85189248396314[/C][C]0.0142911590850629[/C][/ROW]
[ROW][C]0.58[/C][C]1.85455299671334[/C][C]0.0141979938187763[/C][/ROW]
[ROW][C]0.59[/C][C]1.85721145351327[/C][C]0.0142009427317117[/C][/ROW]
[ROW][C]0.6[/C][C]1.85988477815635[/C][C]0.0142760945726402[/C][/ROW]
[ROW][C]0.61[/C][C]1.86258649196769[/C][C]0.0144042727685067[/C][/ROW]
[ROW][C]0.62[/C][C]1.86532693134463[/C][C]0.0145680421882178[/C][/ROW]
[ROW][C]0.63[/C][C]1.86811350619944[/C][C]0.0147520663375658[/C][/ROW]
[ROW][C]0.64[/C][C]1.87095083223566[/C][C]0.0149464627445312[/C][/ROW]
[ROW][C]0.65[/C][C]1.87384060920987[/C][C]0.015135525785603[/C][/ROW]
[ROW][C]0.66[/C][C]1.87678119210984[/C][C]0.0153070174755857[/C][/ROW]
[ROW][C]0.67[/C][C]1.8797669127077[/C][C]0.0154401202065392[/C][/ROW]
[ROW][C]0.68[/C][C]1.88278734091233[/C][C]0.0155112766403206[/C][/ROW]
[ROW][C]0.69[/C][C]1.88582679673626[/C][C]0.0154916628032314[/C][/ROW]
[ROW][C]0.7[/C][C]1.88886448973574[/C][C]0.0153504180300627[/C][/ROW]
[ROW][C]0.71[/C][C]1.89187562964356[/C][C]0.0150648278402881[/C][/ROW]
[ROW][C]0.72[/C][C]1.89483369552756[/C][C]0.0146242306028526[/C][/ROW]
[ROW][C]0.73[/C][C]1.89771378355375[/C][C]0.0140366410982623[/C][/ROW]
[ROW][C]0.74[/C][C]1.9004966301527[/C][C]0.0133352438471605[/C][/ROW]
[ROW][C]0.75[/C][C]1.90317261506512[/C][C]0.0125731348765256[/C][/ROW]
[ROW][C]0.76[/C][C]1.90574488085536[/C][C]0.0118265028048337[/C][/ROW]
[ROW][C]0.77[/C][C]1.90823072995759[/C][C]0.0111770242612488[/C][/ROW]
[ROW][C]0.78[/C][C]1.91066069484891[/C][C]0.0106975508094058[/C][/ROW]
[ROW][C]0.79[/C][C]1.91307508310559[/C][C]0.0104407797286885[/C][/ROW]
[ROW][C]0.8[/C][C]1.91551829674799[/C][C]0.010417675627013[/C][/ROW]
[ROW][C]0.81[/C][C]1.91803171633889[/C][C]0.010593081147273[/C][/ROW]
[ROW][C]0.82[/C][C]1.92064632597159[/C][C]0.0108936619440438[/C][/ROW]
[ROW][C]0.83[/C][C]1.92337644056082[/C][C]0.0112198438732079[/C][/ROW]
[ROW][C]0.84[/C][C]1.92621579731733[/C][C]0.0114667592324609[/C][/ROW]
[ROW][C]0.85[/C][C]1.92913685244844[/C][C]0.0115377268445092[/C][/ROW]
[ROW][C]0.86[/C][C]1.93209346895374[/C][C]0.0113684081718868[/C][/ROW]
[ROW][C]0.87[/C][C]1.93502656204284[/C][C]0.0109275235868215[/C][/ROW]
[ROW][C]0.88[/C][C]1.93787206403369[/C][C]0.0102270354958429[/C][/ROW]
[ROW][C]0.89[/C][C]1.94057096054262[/C][C]0.00930755142155293[/C][/ROW]
[ROW][C]0.9[/C][C]1.94308166632853[/C][C]0.00824072410907892[/C][/ROW]
[ROW][C]0.91[/C][C]1.94539438724484[/C][C]0.00713114513045784[/C][/ROW]
[ROW][C]0.92[/C][C]1.94754416615056[/C][C]0.00612868104075095[/C][/ROW]
[ROW][C]0.93[/C][C]1.94961520070546[/C][C]0.00542812002449173[/C][/ROW]
[ROW][C]0.94[/C][C]1.95172949066836[/C][C]0.00517625474845951[/C][/ROW]
[ROW][C]0.95[/C][C]1.95402519971785[/C][C]0.00528177673589457[/C][/ROW]
[ROW][C]0.96[/C][C]1.95664736469435[/C][C]0.00542739585672736[/C][/ROW]
[ROW][C]0.97[/C][C]1.95975226667533[/C][C]0.00552173732092687[/C][/ROW]
[ROW][C]0.98[/C][C]1.96341531056068[/C][C]0.00618297968736984[/C][/ROW]
[ROW][C]0.99[/C][C]1.96725225750973[/C][C]0.00798163754005811[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239015&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239015&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
0.011.642838487745720.00817740658197301
0.021.647022269523480.00713872825061608
0.031.651474756552640.00795378672880961
0.041.655918623263020.00952607950798552
0.051.660402482797150.0108015686357862
0.061.664945277081470.0116470317709727
0.071.669515579210520.0123761552685642
0.081.674103287167610.0132804866768464
0.091.678740386363220.0144331335327593
0.11.683471461314560.0156999410145294
0.111.688316062290440.0168633027175691
0.121.693249168534690.0177207011207682
0.131.698203840292760.0181382751864436
0.141.703088634140650.0180807747275699
0.151.707810036655740.0176025528343719
0.161.712292216985290.0168245079063843
0.171.716489657862630.0159049027392853
0.181.720391297647730.0150018332006075
0.191.724017164413840.0142471687447462
0.21.727409913311880.0137231070944194
0.211.730624190002210.0134550598417889
0.221.733716487494110.0134166007295171
0.231.736737393975010.013554047822117
0.241.739727133991070.0137994958054969
0.251.742714352336450.0141036092714294
0.261.745717383426310.0144294756379047
0.271.74874690097750.0147604452175381
0.281.751808861330560.0150971320966579
0.291.754906951979780.0154447853530049
0.31.758044187191730.0158074815434097
0.311.761223695748630.016185819730044
0.321.764448999999660.0165805553724787
0.331.767724138547480.0169874900565311
0.341.771053861542290.0174128051039559
0.351.774443910159120.0178594224652168
0.361.777901185994480.0183458763133928
0.371.781433512350610.0188831005750332
0.381.785048733647560.0194765916326183
0.391.788753080342290.0201154591047321
0.41.792548983118440.020770955098508
0.411.79643276228440.0213930431191862
0.421.800392759690660.0219208749313104
0.431.804408466109390.022289210697281
0.441.808451021347430.0224461902449854
0.451.812485172446330.0223527530201724
0.461.816472447659810.0220018972348538
0.471.820375030391080.0214097866475922
0.481.824159669345590.0206208349705494
0.491.827800971322090.0196951840131869
0.51.831283578132060.0187062746910285
0.511.834602978175680.0177233150806239
0.521.83776497627120.0168075866037001
0.531.840784075718020.0160074175261699
0.541.843681168935650.015351640422453
0.551.846480972259250.0148504070961719
0.561.849209589943610.0145017502110691
0.571.851892483963140.0142911590850629
0.581.854552996713340.0141979938187763
0.591.857211453513270.0142009427317117
0.61.859884778156350.0142760945726402
0.611.862586491967690.0144042727685067
0.621.865326931344630.0145680421882178
0.631.868113506199440.0147520663375658
0.641.870950832235660.0149464627445312
0.651.873840609209870.015135525785603
0.661.876781192109840.0153070174755857
0.671.87976691270770.0154401202065392
0.681.882787340912330.0155112766403206
0.691.885826796736260.0154916628032314
0.71.888864489735740.0153504180300627
0.711.891875629643560.0150648278402881
0.721.894833695527560.0146242306028526
0.731.897713783553750.0140366410982623
0.741.90049663015270.0133352438471605
0.751.903172615065120.0125731348765256
0.761.905744880855360.0118265028048337
0.771.908230729957590.0111770242612488
0.781.910660694848910.0106975508094058
0.791.913075083105590.0104407797286885
0.81.915518296747990.010417675627013
0.811.918031716338890.010593081147273
0.821.920646325971590.0108936619440438
0.831.923376440560820.0112198438732079
0.841.926215797317330.0114667592324609
0.851.929136852448440.0115377268445092
0.861.932093468953740.0113684081718868
0.871.935026562042840.0109275235868215
0.881.937872064033690.0102270354958429
0.891.940570960542620.00930755142155293
0.91.943081666328530.00824072410907892
0.911.945394387244840.00713114513045784
0.921.947544166150560.00612868104075095
0.931.949615200705460.00542812002449173
0.941.951729490668360.00517625474845951
0.951.954025199717850.00528177673589457
0.961.956647364694350.00542739585672736
0.971.959752266675330.00552173732092687
0.981.963415310560680.00618297968736984
0.991.967252257509730.00798163754005811



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')