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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 computationThu, 16 Feb 2012 10:03:08 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329404631lgwcjmtv7moblxi.htm/, Retrieved Sun, 28 Apr 2024 07:37:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162680, Retrieved Sun, 28 Apr 2024 07:37:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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] [Percentielen hout...] [2012-02-16 15:03:08] [54d49d8a22bca19e9398641fe7fc5cc7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
402.55
403.04
399.25
401.26
402.76
402.27
402.27
406.11
406.39
407.88
407.77
407.77
407.77
408.06
403.74
403.44
404.3
403.29
403.29
400.66
400.84
401.31
402
402
402
403.33
403.79
403.04
402.91
406.55
406.55
404.69
404.74
404.2
404.18
404.18
404.18
404.82
406.46
407.25
407.34
404.3
404.3
404.7
406.82
406.82
406.76
406.76
406.76
407.67
406.03
401.97
401.84
402.24
402.24
401.57
401.63
402.06
402.11
402.43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162680&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162680&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01399.5488308301291.15934000536278
0.02399.9625236290680.865943468545804
0.03400.3584439414660.62191721394647
0.04400.6758385837750.471705002860074
0.05400.9135703070950.396089901060348
0.06401.0931618695250.357981625994126
0.07401.2356682535070.333916370379001
0.08401.3549109459690.3151955143947
0.09401.4584788302190.299031557201306
0.1401.5502373133640.282587683910369
0.11401.6321486905750.26543014563569
0.12401.7052726509380.245916639061211
0.13401.7702941463980.225103036145482
0.14401.8278255491620.20388211109619
0.15401.878580737020.183854600834491
0.16401.923449845710.166920176592896
0.17401.9634929227390.153962926489482
0.18401.9998788279330.146446656316827
0.19402.0338008474770.143949234186885
0.2402.0663970643330.146508250360626
0.21402.0986937079340.15314353311253
0.22402.1315777821810.16329212597474
0.23402.1657950544280.176115840659506
0.24402.201963306910.191529491738532
0.25402.2405892538990.209592441733256
0.26402.2820799538630.229599183932083
0.27402.3267442735380.250526830663969
0.28402.3747851278090.273027497824934
0.29402.426287257680.295397925972743
0.3402.4812072766810.317341536534292
0.31402.53937239750.337263956577659
0.32402.600492052640.355283558970884
0.33402.6641833491950.370316098591287
0.34402.7300078792410.382472924576566
0.35402.7975146646910.391586024918696
0.36402.8662824999370.398645222717467
0.37402.9359548845380.403488840285313
0.38403.0062620141320.407267057378631
0.39403.0770265846990.410856800773992
0.4403.148152990230.414115265012713
0.41403.2196023454590.4177963438411
0.42403.2913581755750.421666445325909
0.43403.3633892170680.425266706383868
0.44403.4356163394560.428607259703578
0.45403.507890056180.430597369854003
0.46403.579983536690.430674453317097
0.47403.6516037033490.428228154528642
0.48403.722420257460.422965545376367
0.49403.7921097544440.415168564458028
0.5403.8604095597040.404966932355738
0.51403.9271750024130.393620822571321
0.52403.9924324956450.382283962529335
0.53404.056421814460.372450337807581
0.54404.1196219465410.366045759445231
0.55404.1827566522870.364479312893406
0.56404.2467777503970.370044791649337
0.57404.3128258959280.382957693680081
0.58404.3821700949010.404791788676827
0.59404.4561284324960.43453302462881
0.6404.5359736565390.472506051248613
0.61404.6228285831550.516654475483296
0.62404.7175579252410.565101644175989
0.63404.8206650247970.615212620538093
0.64404.932203751850.664210039896387
0.65405.0517169148190.708399549067596
0.66405.1782121984710.74519217454282
0.67405.310184321050.770938575481811
0.68405.4456875865880.783909950814135
0.69405.5824566916440.782223382672305
0.7405.7180665410990.765704277798033
0.71405.8501154003920.734908601915844
0.72405.9764115145660.691764141368036
0.73406.0951425283540.63868796064884
0.74406.2050100096130.579700273022191
0.75406.3053174415290.517804278131697
0.76406.3960075978530.457082401257687
0.77406.4776521296670.400602165904121
0.78406.5514005101180.351361611041252
0.79406.618896110650.311540402889178
0.8406.6821643886340.283568106251013
0.81406.7434736568850.267913591886645
0.82406.8051653705230.265264717964645
0.83406.8694511029290.273781047720141
0.84406.9381792617810.290893800998345
0.85407.0125862461520.312483742983139
0.86407.0930622461670.33393188225818
0.87407.1789775428790.350507570258128
0.88407.2686261341460.357703967393298
0.89407.3593444316350.352008732968117
0.9407.447848324810.331775400162765
0.91407.5307977979160.297477638532231
0.92407.605543385860.25252742637267
0.93407.6709374389750.202800381379981
0.94407.7280124485290.156207147511093
0.95407.7802327049490.121634014733086
0.96407.8328817977490.1069884120542
0.97407.8909734244190.113526195085745
0.98407.9552444733580.134023359409535
0.99408.0174231811130.158820809939359

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 399.548830830129 & 1.15934000536278 \tabularnewline
0.02 & 399.962523629068 & 0.865943468545804 \tabularnewline
0.03 & 400.358443941466 & 0.62191721394647 \tabularnewline
0.04 & 400.675838583775 & 0.471705002860074 \tabularnewline
0.05 & 400.913570307095 & 0.396089901060348 \tabularnewline
0.06 & 401.093161869525 & 0.357981625994126 \tabularnewline
0.07 & 401.235668253507 & 0.333916370379001 \tabularnewline
0.08 & 401.354910945969 & 0.3151955143947 \tabularnewline
0.09 & 401.458478830219 & 0.299031557201306 \tabularnewline
0.1 & 401.550237313364 & 0.282587683910369 \tabularnewline
0.11 & 401.632148690575 & 0.26543014563569 \tabularnewline
0.12 & 401.705272650938 & 0.245916639061211 \tabularnewline
0.13 & 401.770294146398 & 0.225103036145482 \tabularnewline
0.14 & 401.827825549162 & 0.20388211109619 \tabularnewline
0.15 & 401.87858073702 & 0.183854600834491 \tabularnewline
0.16 & 401.92344984571 & 0.166920176592896 \tabularnewline
0.17 & 401.963492922739 & 0.153962926489482 \tabularnewline
0.18 & 401.999878827933 & 0.146446656316827 \tabularnewline
0.19 & 402.033800847477 & 0.143949234186885 \tabularnewline
0.2 & 402.066397064333 & 0.146508250360626 \tabularnewline
0.21 & 402.098693707934 & 0.15314353311253 \tabularnewline
0.22 & 402.131577782181 & 0.16329212597474 \tabularnewline
0.23 & 402.165795054428 & 0.176115840659506 \tabularnewline
0.24 & 402.20196330691 & 0.191529491738532 \tabularnewline
0.25 & 402.240589253899 & 0.209592441733256 \tabularnewline
0.26 & 402.282079953863 & 0.229599183932083 \tabularnewline
0.27 & 402.326744273538 & 0.250526830663969 \tabularnewline
0.28 & 402.374785127809 & 0.273027497824934 \tabularnewline
0.29 & 402.42628725768 & 0.295397925972743 \tabularnewline
0.3 & 402.481207276681 & 0.317341536534292 \tabularnewline
0.31 & 402.5393723975 & 0.337263956577659 \tabularnewline
0.32 & 402.60049205264 & 0.355283558970884 \tabularnewline
0.33 & 402.664183349195 & 0.370316098591287 \tabularnewline
0.34 & 402.730007879241 & 0.382472924576566 \tabularnewline
0.35 & 402.797514664691 & 0.391586024918696 \tabularnewline
0.36 & 402.866282499937 & 0.398645222717467 \tabularnewline
0.37 & 402.935954884538 & 0.403488840285313 \tabularnewline
0.38 & 403.006262014132 & 0.407267057378631 \tabularnewline
0.39 & 403.077026584699 & 0.410856800773992 \tabularnewline
0.4 & 403.14815299023 & 0.414115265012713 \tabularnewline
0.41 & 403.219602345459 & 0.4177963438411 \tabularnewline
0.42 & 403.291358175575 & 0.421666445325909 \tabularnewline
0.43 & 403.363389217068 & 0.425266706383868 \tabularnewline
0.44 & 403.435616339456 & 0.428607259703578 \tabularnewline
0.45 & 403.50789005618 & 0.430597369854003 \tabularnewline
0.46 & 403.57998353669 & 0.430674453317097 \tabularnewline
0.47 & 403.651603703349 & 0.428228154528642 \tabularnewline
0.48 & 403.72242025746 & 0.422965545376367 \tabularnewline
0.49 & 403.792109754444 & 0.415168564458028 \tabularnewline
0.5 & 403.860409559704 & 0.404966932355738 \tabularnewline
0.51 & 403.927175002413 & 0.393620822571321 \tabularnewline
0.52 & 403.992432495645 & 0.382283962529335 \tabularnewline
0.53 & 404.05642181446 & 0.372450337807581 \tabularnewline
0.54 & 404.119621946541 & 0.366045759445231 \tabularnewline
0.55 & 404.182756652287 & 0.364479312893406 \tabularnewline
0.56 & 404.246777750397 & 0.370044791649337 \tabularnewline
0.57 & 404.312825895928 & 0.382957693680081 \tabularnewline
0.58 & 404.382170094901 & 0.404791788676827 \tabularnewline
0.59 & 404.456128432496 & 0.43453302462881 \tabularnewline
0.6 & 404.535973656539 & 0.472506051248613 \tabularnewline
0.61 & 404.622828583155 & 0.516654475483296 \tabularnewline
0.62 & 404.717557925241 & 0.565101644175989 \tabularnewline
0.63 & 404.820665024797 & 0.615212620538093 \tabularnewline
0.64 & 404.93220375185 & 0.664210039896387 \tabularnewline
0.65 & 405.051716914819 & 0.708399549067596 \tabularnewline
0.66 & 405.178212198471 & 0.74519217454282 \tabularnewline
0.67 & 405.31018432105 & 0.770938575481811 \tabularnewline
0.68 & 405.445687586588 & 0.783909950814135 \tabularnewline
0.69 & 405.582456691644 & 0.782223382672305 \tabularnewline
0.7 & 405.718066541099 & 0.765704277798033 \tabularnewline
0.71 & 405.850115400392 & 0.734908601915844 \tabularnewline
0.72 & 405.976411514566 & 0.691764141368036 \tabularnewline
0.73 & 406.095142528354 & 0.63868796064884 \tabularnewline
0.74 & 406.205010009613 & 0.579700273022191 \tabularnewline
0.75 & 406.305317441529 & 0.517804278131697 \tabularnewline
0.76 & 406.396007597853 & 0.457082401257687 \tabularnewline
0.77 & 406.477652129667 & 0.400602165904121 \tabularnewline
0.78 & 406.551400510118 & 0.351361611041252 \tabularnewline
0.79 & 406.61889611065 & 0.311540402889178 \tabularnewline
0.8 & 406.682164388634 & 0.283568106251013 \tabularnewline
0.81 & 406.743473656885 & 0.267913591886645 \tabularnewline
0.82 & 406.805165370523 & 0.265264717964645 \tabularnewline
0.83 & 406.869451102929 & 0.273781047720141 \tabularnewline
0.84 & 406.938179261781 & 0.290893800998345 \tabularnewline
0.85 & 407.012586246152 & 0.312483742983139 \tabularnewline
0.86 & 407.093062246167 & 0.33393188225818 \tabularnewline
0.87 & 407.178977542879 & 0.350507570258128 \tabularnewline
0.88 & 407.268626134146 & 0.357703967393298 \tabularnewline
0.89 & 407.359344431635 & 0.352008732968117 \tabularnewline
0.9 & 407.44784832481 & 0.331775400162765 \tabularnewline
0.91 & 407.530797797916 & 0.297477638532231 \tabularnewline
0.92 & 407.60554338586 & 0.25252742637267 \tabularnewline
0.93 & 407.670937438975 & 0.202800381379981 \tabularnewline
0.94 & 407.728012448529 & 0.156207147511093 \tabularnewline
0.95 & 407.780232704949 & 0.121634014733086 \tabularnewline
0.96 & 407.832881797749 & 0.1069884120542 \tabularnewline
0.97 & 407.890973424419 & 0.113526195085745 \tabularnewline
0.98 & 407.955244473358 & 0.134023359409535 \tabularnewline
0.99 & 408.017423181113 & 0.158820809939359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162680&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]399.548830830129[/C][C]1.15934000536278[/C][/ROW]
[ROW][C]0.02[/C][C]399.962523629068[/C][C]0.865943468545804[/C][/ROW]
[ROW][C]0.03[/C][C]400.358443941466[/C][C]0.62191721394647[/C][/ROW]
[ROW][C]0.04[/C][C]400.675838583775[/C][C]0.471705002860074[/C][/ROW]
[ROW][C]0.05[/C][C]400.913570307095[/C][C]0.396089901060348[/C][/ROW]
[ROW][C]0.06[/C][C]401.093161869525[/C][C]0.357981625994126[/C][/ROW]
[ROW][C]0.07[/C][C]401.235668253507[/C][C]0.333916370379001[/C][/ROW]
[ROW][C]0.08[/C][C]401.354910945969[/C][C]0.3151955143947[/C][/ROW]
[ROW][C]0.09[/C][C]401.458478830219[/C][C]0.299031557201306[/C][/ROW]
[ROW][C]0.1[/C][C]401.550237313364[/C][C]0.282587683910369[/C][/ROW]
[ROW][C]0.11[/C][C]401.632148690575[/C][C]0.26543014563569[/C][/ROW]
[ROW][C]0.12[/C][C]401.705272650938[/C][C]0.245916639061211[/C][/ROW]
[ROW][C]0.13[/C][C]401.770294146398[/C][C]0.225103036145482[/C][/ROW]
[ROW][C]0.14[/C][C]401.827825549162[/C][C]0.20388211109619[/C][/ROW]
[ROW][C]0.15[/C][C]401.87858073702[/C][C]0.183854600834491[/C][/ROW]
[ROW][C]0.16[/C][C]401.92344984571[/C][C]0.166920176592896[/C][/ROW]
[ROW][C]0.17[/C][C]401.963492922739[/C][C]0.153962926489482[/C][/ROW]
[ROW][C]0.18[/C][C]401.999878827933[/C][C]0.146446656316827[/C][/ROW]
[ROW][C]0.19[/C][C]402.033800847477[/C][C]0.143949234186885[/C][/ROW]
[ROW][C]0.2[/C][C]402.066397064333[/C][C]0.146508250360626[/C][/ROW]
[ROW][C]0.21[/C][C]402.098693707934[/C][C]0.15314353311253[/C][/ROW]
[ROW][C]0.22[/C][C]402.131577782181[/C][C]0.16329212597474[/C][/ROW]
[ROW][C]0.23[/C][C]402.165795054428[/C][C]0.176115840659506[/C][/ROW]
[ROW][C]0.24[/C][C]402.20196330691[/C][C]0.191529491738532[/C][/ROW]
[ROW][C]0.25[/C][C]402.240589253899[/C][C]0.209592441733256[/C][/ROW]
[ROW][C]0.26[/C][C]402.282079953863[/C][C]0.229599183932083[/C][/ROW]
[ROW][C]0.27[/C][C]402.326744273538[/C][C]0.250526830663969[/C][/ROW]
[ROW][C]0.28[/C][C]402.374785127809[/C][C]0.273027497824934[/C][/ROW]
[ROW][C]0.29[/C][C]402.42628725768[/C][C]0.295397925972743[/C][/ROW]
[ROW][C]0.3[/C][C]402.481207276681[/C][C]0.317341536534292[/C][/ROW]
[ROW][C]0.31[/C][C]402.5393723975[/C][C]0.337263956577659[/C][/ROW]
[ROW][C]0.32[/C][C]402.60049205264[/C][C]0.355283558970884[/C][/ROW]
[ROW][C]0.33[/C][C]402.664183349195[/C][C]0.370316098591287[/C][/ROW]
[ROW][C]0.34[/C][C]402.730007879241[/C][C]0.382472924576566[/C][/ROW]
[ROW][C]0.35[/C][C]402.797514664691[/C][C]0.391586024918696[/C][/ROW]
[ROW][C]0.36[/C][C]402.866282499937[/C][C]0.398645222717467[/C][/ROW]
[ROW][C]0.37[/C][C]402.935954884538[/C][C]0.403488840285313[/C][/ROW]
[ROW][C]0.38[/C][C]403.006262014132[/C][C]0.407267057378631[/C][/ROW]
[ROW][C]0.39[/C][C]403.077026584699[/C][C]0.410856800773992[/C][/ROW]
[ROW][C]0.4[/C][C]403.14815299023[/C][C]0.414115265012713[/C][/ROW]
[ROW][C]0.41[/C][C]403.219602345459[/C][C]0.4177963438411[/C][/ROW]
[ROW][C]0.42[/C][C]403.291358175575[/C][C]0.421666445325909[/C][/ROW]
[ROW][C]0.43[/C][C]403.363389217068[/C][C]0.425266706383868[/C][/ROW]
[ROW][C]0.44[/C][C]403.435616339456[/C][C]0.428607259703578[/C][/ROW]
[ROW][C]0.45[/C][C]403.50789005618[/C][C]0.430597369854003[/C][/ROW]
[ROW][C]0.46[/C][C]403.57998353669[/C][C]0.430674453317097[/C][/ROW]
[ROW][C]0.47[/C][C]403.651603703349[/C][C]0.428228154528642[/C][/ROW]
[ROW][C]0.48[/C][C]403.72242025746[/C][C]0.422965545376367[/C][/ROW]
[ROW][C]0.49[/C][C]403.792109754444[/C][C]0.415168564458028[/C][/ROW]
[ROW][C]0.5[/C][C]403.860409559704[/C][C]0.404966932355738[/C][/ROW]
[ROW][C]0.51[/C][C]403.927175002413[/C][C]0.393620822571321[/C][/ROW]
[ROW][C]0.52[/C][C]403.992432495645[/C][C]0.382283962529335[/C][/ROW]
[ROW][C]0.53[/C][C]404.05642181446[/C][C]0.372450337807581[/C][/ROW]
[ROW][C]0.54[/C][C]404.119621946541[/C][C]0.366045759445231[/C][/ROW]
[ROW][C]0.55[/C][C]404.182756652287[/C][C]0.364479312893406[/C][/ROW]
[ROW][C]0.56[/C][C]404.246777750397[/C][C]0.370044791649337[/C][/ROW]
[ROW][C]0.57[/C][C]404.312825895928[/C][C]0.382957693680081[/C][/ROW]
[ROW][C]0.58[/C][C]404.382170094901[/C][C]0.404791788676827[/C][/ROW]
[ROW][C]0.59[/C][C]404.456128432496[/C][C]0.43453302462881[/C][/ROW]
[ROW][C]0.6[/C][C]404.535973656539[/C][C]0.472506051248613[/C][/ROW]
[ROW][C]0.61[/C][C]404.622828583155[/C][C]0.516654475483296[/C][/ROW]
[ROW][C]0.62[/C][C]404.717557925241[/C][C]0.565101644175989[/C][/ROW]
[ROW][C]0.63[/C][C]404.820665024797[/C][C]0.615212620538093[/C][/ROW]
[ROW][C]0.64[/C][C]404.93220375185[/C][C]0.664210039896387[/C][/ROW]
[ROW][C]0.65[/C][C]405.051716914819[/C][C]0.708399549067596[/C][/ROW]
[ROW][C]0.66[/C][C]405.178212198471[/C][C]0.74519217454282[/C][/ROW]
[ROW][C]0.67[/C][C]405.31018432105[/C][C]0.770938575481811[/C][/ROW]
[ROW][C]0.68[/C][C]405.445687586588[/C][C]0.783909950814135[/C][/ROW]
[ROW][C]0.69[/C][C]405.582456691644[/C][C]0.782223382672305[/C][/ROW]
[ROW][C]0.7[/C][C]405.718066541099[/C][C]0.765704277798033[/C][/ROW]
[ROW][C]0.71[/C][C]405.850115400392[/C][C]0.734908601915844[/C][/ROW]
[ROW][C]0.72[/C][C]405.976411514566[/C][C]0.691764141368036[/C][/ROW]
[ROW][C]0.73[/C][C]406.095142528354[/C][C]0.63868796064884[/C][/ROW]
[ROW][C]0.74[/C][C]406.205010009613[/C][C]0.579700273022191[/C][/ROW]
[ROW][C]0.75[/C][C]406.305317441529[/C][C]0.517804278131697[/C][/ROW]
[ROW][C]0.76[/C][C]406.396007597853[/C][C]0.457082401257687[/C][/ROW]
[ROW][C]0.77[/C][C]406.477652129667[/C][C]0.400602165904121[/C][/ROW]
[ROW][C]0.78[/C][C]406.551400510118[/C][C]0.351361611041252[/C][/ROW]
[ROW][C]0.79[/C][C]406.61889611065[/C][C]0.311540402889178[/C][/ROW]
[ROW][C]0.8[/C][C]406.682164388634[/C][C]0.283568106251013[/C][/ROW]
[ROW][C]0.81[/C][C]406.743473656885[/C][C]0.267913591886645[/C][/ROW]
[ROW][C]0.82[/C][C]406.805165370523[/C][C]0.265264717964645[/C][/ROW]
[ROW][C]0.83[/C][C]406.869451102929[/C][C]0.273781047720141[/C][/ROW]
[ROW][C]0.84[/C][C]406.938179261781[/C][C]0.290893800998345[/C][/ROW]
[ROW][C]0.85[/C][C]407.012586246152[/C][C]0.312483742983139[/C][/ROW]
[ROW][C]0.86[/C][C]407.093062246167[/C][C]0.33393188225818[/C][/ROW]
[ROW][C]0.87[/C][C]407.178977542879[/C][C]0.350507570258128[/C][/ROW]
[ROW][C]0.88[/C][C]407.268626134146[/C][C]0.357703967393298[/C][/ROW]
[ROW][C]0.89[/C][C]407.359344431635[/C][C]0.352008732968117[/C][/ROW]
[ROW][C]0.9[/C][C]407.44784832481[/C][C]0.331775400162765[/C][/ROW]
[ROW][C]0.91[/C][C]407.530797797916[/C][C]0.297477638532231[/C][/ROW]
[ROW][C]0.92[/C][C]407.60554338586[/C][C]0.25252742637267[/C][/ROW]
[ROW][C]0.93[/C][C]407.670937438975[/C][C]0.202800381379981[/C][/ROW]
[ROW][C]0.94[/C][C]407.728012448529[/C][C]0.156207147511093[/C][/ROW]
[ROW][C]0.95[/C][C]407.780232704949[/C][C]0.121634014733086[/C][/ROW]
[ROW][C]0.96[/C][C]407.832881797749[/C][C]0.1069884120542[/C][/ROW]
[ROW][C]0.97[/C][C]407.890973424419[/C][C]0.113526195085745[/C][/ROW]
[ROW][C]0.98[/C][C]407.955244473358[/C][C]0.134023359409535[/C][/ROW]
[ROW][C]0.99[/C][C]408.017423181113[/C][C]0.158820809939359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162680&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
0.01399.5488308301291.15934000536278
0.02399.9625236290680.865943468545804
0.03400.3584439414660.62191721394647
0.04400.6758385837750.471705002860074
0.05400.9135703070950.396089901060348
0.06401.0931618695250.357981625994126
0.07401.2356682535070.333916370379001
0.08401.3549109459690.3151955143947
0.09401.4584788302190.299031557201306
0.1401.5502373133640.282587683910369
0.11401.6321486905750.26543014563569
0.12401.7052726509380.245916639061211
0.13401.7702941463980.225103036145482
0.14401.8278255491620.20388211109619
0.15401.878580737020.183854600834491
0.16401.923449845710.166920176592896
0.17401.9634929227390.153962926489482
0.18401.9998788279330.146446656316827
0.19402.0338008474770.143949234186885
0.2402.0663970643330.146508250360626
0.21402.0986937079340.15314353311253
0.22402.1315777821810.16329212597474
0.23402.1657950544280.176115840659506
0.24402.201963306910.191529491738532
0.25402.2405892538990.209592441733256
0.26402.2820799538630.229599183932083
0.27402.3267442735380.250526830663969
0.28402.3747851278090.273027497824934
0.29402.426287257680.295397925972743
0.3402.4812072766810.317341536534292
0.31402.53937239750.337263956577659
0.32402.600492052640.355283558970884
0.33402.6641833491950.370316098591287
0.34402.7300078792410.382472924576566
0.35402.7975146646910.391586024918696
0.36402.8662824999370.398645222717467
0.37402.9359548845380.403488840285313
0.38403.0062620141320.407267057378631
0.39403.0770265846990.410856800773992
0.4403.148152990230.414115265012713
0.41403.2196023454590.4177963438411
0.42403.2913581755750.421666445325909
0.43403.3633892170680.425266706383868
0.44403.4356163394560.428607259703578
0.45403.507890056180.430597369854003
0.46403.579983536690.430674453317097
0.47403.6516037033490.428228154528642
0.48403.722420257460.422965545376367
0.49403.7921097544440.415168564458028
0.5403.8604095597040.404966932355738
0.51403.9271750024130.393620822571321
0.52403.9924324956450.382283962529335
0.53404.056421814460.372450337807581
0.54404.1196219465410.366045759445231
0.55404.1827566522870.364479312893406
0.56404.2467777503970.370044791649337
0.57404.3128258959280.382957693680081
0.58404.3821700949010.404791788676827
0.59404.4561284324960.43453302462881
0.6404.5359736565390.472506051248613
0.61404.6228285831550.516654475483296
0.62404.7175579252410.565101644175989
0.63404.8206650247970.615212620538093
0.64404.932203751850.664210039896387
0.65405.0517169148190.708399549067596
0.66405.1782121984710.74519217454282
0.67405.310184321050.770938575481811
0.68405.4456875865880.783909950814135
0.69405.5824566916440.782223382672305
0.7405.7180665410990.765704277798033
0.71405.8501154003920.734908601915844
0.72405.9764115145660.691764141368036
0.73406.0951425283540.63868796064884
0.74406.2050100096130.579700273022191
0.75406.3053174415290.517804278131697
0.76406.3960075978530.457082401257687
0.77406.4776521296670.400602165904121
0.78406.5514005101180.351361611041252
0.79406.618896110650.311540402889178
0.8406.6821643886340.283568106251013
0.81406.7434736568850.267913591886645
0.82406.8051653705230.265264717964645
0.83406.8694511029290.273781047720141
0.84406.9381792617810.290893800998345
0.85407.0125862461520.312483742983139
0.86407.0930622461670.33393188225818
0.87407.1789775428790.350507570258128
0.88407.2686261341460.357703967393298
0.89407.3593444316350.352008732968117
0.9407.447848324810.331775400162765
0.91407.5307977979160.297477638532231
0.92407.605543385860.25252742637267
0.93407.6709374389750.202800381379981
0.94407.7280124485290.156207147511093
0.95407.7802327049490.121634014733086
0.96407.8328817977490.1069884120542
0.97407.8909734244190.113526195085745
0.98407.9552444733580.134023359409535
0.99408.0174231811130.158820809939359


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')