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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 08:15:17 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t1380802598y23g36na1q9c8ra.htm/, Retrieved Thu, 02 May 2024 01:45:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212862, Retrieved Thu, 02 May 2024 01:45:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-03 12:15:17] [51fe0640a383c3aded7defd919b1cd8b] [Current]
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Dataseries X:
1,38
1,96
1,36
1,24
1,35
1,23
1,09
1,08
1,33
1,35
1,38
1,5
1,47
2,09
1,52
1,29
1,52
1,27
1,35
1,29
1,41
1,39
1,45
1,53
1,45
2,11
1,53
1,38
1,54
1,35
1,29
1,33
1,47
1,47
1,54
1,59
1,5
2
1,51
1,4
1,62
1,44
1,29
1,28
1,4
1,39
1,46
1,49
1,45
2,05
1,59
1,42
1,73
1,39
1,23
1,37
1,51
1,47
1,5
1,54
1,54
2,15
1,62
1,4
1,65
1,49
1,45
1,45
1,51
1,48
1,56
1,57
1,57
2,28
1,7
1,56
1,8
1,56
1,51
1,46
1,51
1,55
1,57
1,64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212862&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]3 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=212862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212862&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.097418525257220.0443437754797416
0.021.131842782532620.0693623675355281
0.031.171445748397790.0660643598881274
0.041.205631304428910.0500172202740005
0.051.230947996473480.0365894099409965
0.061.248895068770170.029397074307056
0.071.262135146132680.0257338463443594
0.081.27264651036050.0234535202699654
0.091.281577273371670.0222229261029542
0.11.289609669096070.0222193799357555
0.111.297204318913580.0232336401665247
0.121.304659199174160.0246371333377859
0.131.312103216037790.0257601278045703
0.141.319512417939390.0261716610125356
0.151.326765713500580.0257674636541186
0.161.333716535678790.0247058393702201
0.171.340251174012220.0232940648652728
0.181.346317491553120.0218507851451397
0.191.351924132107130.0205933829264492
0.21.357121183024850.0196063380274235
0.211.361976077081050.0188667956595089
0.221.366555135148390.0183014633697876
0.231.370915155923910.0178573888589649
0.241.375104054473070.0175182378178189
0.251.379166475470360.0173227635588599
0.261.383149769481660.017334058582202
0.271.38710695713410.0176140655542139
0.281.391095264021460.0181922555411001
0.291.39517063788570.0190509805346363
0.31.399379899345310.0201137269476096
0.311.403752714494910.0212620623519667
0.321.408295499509640.0223532723717708
0.331.412988833504620.0232467861295973
0.341.41778913560120.0238218644860656
0.351.422634427545560.0240026302129325
0.361.427453136784950.0237655199422535
0.371.432174276775970.0231461991081876
0.381.4367371092750.0222258691617171
0.391.441098595227530.0211242596821639
0.41.445237508707030.0199664816268865
0.411.449154854357090.0188793903833447
0.421.452870980271410.017957980400672
0.431.456420329185770.0172638627780311
0.441.459845019671020.0168185783654593
0.451.463188399767640.0166024690021069
0.461.466489457620930.0165751876000124
0.471.469778633664380.0166745089024189
0.481.473075267638660.0168309744332286
0.491.476386691347240.0169805439297677
0.51.479708847134510.0170616103844973
0.511.483028236161460.0170304973360206
0.521.486324934526460.0168618004501076
0.531.489576332148220.0165483125297138
0.541.492761152716220.0161088494135005
0.551.495863233074470.0155822976443703
0.561.498874518265390.0150212780070344
0.571.501796797536110.0144862786089052
0.581.504641878044910.0140379250855957
0.591.507430149043010.0137225305587855
0.61.510187785013520.0135667052542912
0.611.512943108274850.0135699481995656
0.621.515722812275690.0137090902459075
0.631.518548782007650.0139416318313989
0.641.521436115001580.0142189690336763
0.651.524392667756140.0144950564162879
0.661.527420098183420.0147401138341035
0.671.530516048132180.0149378326684832
0.681.533676917069060.0150936747452075
0.691.536900686561620.0152221591440851
0.71.540189461020540.0153513700855026
0.711.543551705557850.0155102255325175
0.721.547004440422470.0157329458339059
0.731.550575747392890.0160624533944232
0.741.554307786604490.0165560299417057
0.751.558260177315930.0172855297104613
0.761.56251327115610.0183423295348294
0.771.567170829275640.0198179274788118
0.781.572362143057090.0217922792474746
0.791.578244739620990.0243319992058477
0.81.585010179289920.0275003583203474
0.811.592896401733790.0313898043937664
0.821.602209650474890.0361756574554638
0.831.613356179216710.0421581221500419
0.841.626877977305090.0497699073316231
0.851.643477738620270.0595154765861756
0.861.66400807881750.0717943353628555
0.871.689393365551970.0866264333034662
0.881.720457720086980.103315136716528
0.891.757659139357730.120176649180862
0.91.80078036013110.13453616054513
0.911.848688320980260.143193178606213
0.921.899311551914990.143400513482701
0.931.949961086284630.134056092047019
0.941.998036127284850.116554442802093
0.952.042077159730090.0948263522437369
0.962.083091918810180.0748062313790365
0.972.125688010996490.0645065534014605
0.982.176602338067620.073320347694584
0.992.235376722072580.101357003459625

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.09741852525722 & 0.0443437754797416 \tabularnewline
0.02 & 1.13184278253262 & 0.0693623675355281 \tabularnewline
0.03 & 1.17144574839779 & 0.0660643598881274 \tabularnewline
0.04 & 1.20563130442891 & 0.0500172202740005 \tabularnewline
0.05 & 1.23094799647348 & 0.0365894099409965 \tabularnewline
0.06 & 1.24889506877017 & 0.029397074307056 \tabularnewline
0.07 & 1.26213514613268 & 0.0257338463443594 \tabularnewline
0.08 & 1.2726465103605 & 0.0234535202699654 \tabularnewline
0.09 & 1.28157727337167 & 0.0222229261029542 \tabularnewline
0.1 & 1.28960966909607 & 0.0222193799357555 \tabularnewline
0.11 & 1.29720431891358 & 0.0232336401665247 \tabularnewline
0.12 & 1.30465919917416 & 0.0246371333377859 \tabularnewline
0.13 & 1.31210321603779 & 0.0257601278045703 \tabularnewline
0.14 & 1.31951241793939 & 0.0261716610125356 \tabularnewline
0.15 & 1.32676571350058 & 0.0257674636541186 \tabularnewline
0.16 & 1.33371653567879 & 0.0247058393702201 \tabularnewline
0.17 & 1.34025117401222 & 0.0232940648652728 \tabularnewline
0.18 & 1.34631749155312 & 0.0218507851451397 \tabularnewline
0.19 & 1.35192413210713 & 0.0205933829264492 \tabularnewline
0.2 & 1.35712118302485 & 0.0196063380274235 \tabularnewline
0.21 & 1.36197607708105 & 0.0188667956595089 \tabularnewline
0.22 & 1.36655513514839 & 0.0183014633697876 \tabularnewline
0.23 & 1.37091515592391 & 0.0178573888589649 \tabularnewline
0.24 & 1.37510405447307 & 0.0175182378178189 \tabularnewline
0.25 & 1.37916647547036 & 0.0173227635588599 \tabularnewline
0.26 & 1.38314976948166 & 0.017334058582202 \tabularnewline
0.27 & 1.3871069571341 & 0.0176140655542139 \tabularnewline
0.28 & 1.39109526402146 & 0.0181922555411001 \tabularnewline
0.29 & 1.3951706378857 & 0.0190509805346363 \tabularnewline
0.3 & 1.39937989934531 & 0.0201137269476096 \tabularnewline
0.31 & 1.40375271449491 & 0.0212620623519667 \tabularnewline
0.32 & 1.40829549950964 & 0.0223532723717708 \tabularnewline
0.33 & 1.41298883350462 & 0.0232467861295973 \tabularnewline
0.34 & 1.4177891356012 & 0.0238218644860656 \tabularnewline
0.35 & 1.42263442754556 & 0.0240026302129325 \tabularnewline
0.36 & 1.42745313678495 & 0.0237655199422535 \tabularnewline
0.37 & 1.43217427677597 & 0.0231461991081876 \tabularnewline
0.38 & 1.436737109275 & 0.0222258691617171 \tabularnewline
0.39 & 1.44109859522753 & 0.0211242596821639 \tabularnewline
0.4 & 1.44523750870703 & 0.0199664816268865 \tabularnewline
0.41 & 1.44915485435709 & 0.0188793903833447 \tabularnewline
0.42 & 1.45287098027141 & 0.017957980400672 \tabularnewline
0.43 & 1.45642032918577 & 0.0172638627780311 \tabularnewline
0.44 & 1.45984501967102 & 0.0168185783654593 \tabularnewline
0.45 & 1.46318839976764 & 0.0166024690021069 \tabularnewline
0.46 & 1.46648945762093 & 0.0165751876000124 \tabularnewline
0.47 & 1.46977863366438 & 0.0166745089024189 \tabularnewline
0.48 & 1.47307526763866 & 0.0168309744332286 \tabularnewline
0.49 & 1.47638669134724 & 0.0169805439297677 \tabularnewline
0.5 & 1.47970884713451 & 0.0170616103844973 \tabularnewline
0.51 & 1.48302823616146 & 0.0170304973360206 \tabularnewline
0.52 & 1.48632493452646 & 0.0168618004501076 \tabularnewline
0.53 & 1.48957633214822 & 0.0165483125297138 \tabularnewline
0.54 & 1.49276115271622 & 0.0161088494135005 \tabularnewline
0.55 & 1.49586323307447 & 0.0155822976443703 \tabularnewline
0.56 & 1.49887451826539 & 0.0150212780070344 \tabularnewline
0.57 & 1.50179679753611 & 0.0144862786089052 \tabularnewline
0.58 & 1.50464187804491 & 0.0140379250855957 \tabularnewline
0.59 & 1.50743014904301 & 0.0137225305587855 \tabularnewline
0.6 & 1.51018778501352 & 0.0135667052542912 \tabularnewline
0.61 & 1.51294310827485 & 0.0135699481995656 \tabularnewline
0.62 & 1.51572281227569 & 0.0137090902459075 \tabularnewline
0.63 & 1.51854878200765 & 0.0139416318313989 \tabularnewline
0.64 & 1.52143611500158 & 0.0142189690336763 \tabularnewline
0.65 & 1.52439266775614 & 0.0144950564162879 \tabularnewline
0.66 & 1.52742009818342 & 0.0147401138341035 \tabularnewline
0.67 & 1.53051604813218 & 0.0149378326684832 \tabularnewline
0.68 & 1.53367691706906 & 0.0150936747452075 \tabularnewline
0.69 & 1.53690068656162 & 0.0152221591440851 \tabularnewline
0.7 & 1.54018946102054 & 0.0153513700855026 \tabularnewline
0.71 & 1.54355170555785 & 0.0155102255325175 \tabularnewline
0.72 & 1.54700444042247 & 0.0157329458339059 \tabularnewline
0.73 & 1.55057574739289 & 0.0160624533944232 \tabularnewline
0.74 & 1.55430778660449 & 0.0165560299417057 \tabularnewline
0.75 & 1.55826017731593 & 0.0172855297104613 \tabularnewline
0.76 & 1.5625132711561 & 0.0183423295348294 \tabularnewline
0.77 & 1.56717082927564 & 0.0198179274788118 \tabularnewline
0.78 & 1.57236214305709 & 0.0217922792474746 \tabularnewline
0.79 & 1.57824473962099 & 0.0243319992058477 \tabularnewline
0.8 & 1.58501017928992 & 0.0275003583203474 \tabularnewline
0.81 & 1.59289640173379 & 0.0313898043937664 \tabularnewline
0.82 & 1.60220965047489 & 0.0361756574554638 \tabularnewline
0.83 & 1.61335617921671 & 0.0421581221500419 \tabularnewline
0.84 & 1.62687797730509 & 0.0497699073316231 \tabularnewline
0.85 & 1.64347773862027 & 0.0595154765861756 \tabularnewline
0.86 & 1.6640080788175 & 0.0717943353628555 \tabularnewline
0.87 & 1.68939336555197 & 0.0866264333034662 \tabularnewline
0.88 & 1.72045772008698 & 0.103315136716528 \tabularnewline
0.89 & 1.75765913935773 & 0.120176649180862 \tabularnewline
0.9 & 1.8007803601311 & 0.13453616054513 \tabularnewline
0.91 & 1.84868832098026 & 0.143193178606213 \tabularnewline
0.92 & 1.89931155191499 & 0.143400513482701 \tabularnewline
0.93 & 1.94996108628463 & 0.134056092047019 \tabularnewline
0.94 & 1.99803612728485 & 0.116554442802093 \tabularnewline
0.95 & 2.04207715973009 & 0.0948263522437369 \tabularnewline
0.96 & 2.08309191881018 & 0.0748062313790365 \tabularnewline
0.97 & 2.12568801099649 & 0.0645065534014605 \tabularnewline
0.98 & 2.17660233806762 & 0.073320347694584 \tabularnewline
0.99 & 2.23537672207258 & 0.101357003459625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212862&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]1.09741852525722[/C][C]0.0443437754797416[/C][/ROW]
[ROW][C]0.02[/C][C]1.13184278253262[/C][C]0.0693623675355281[/C][/ROW]
[ROW][C]0.03[/C][C]1.17144574839779[/C][C]0.0660643598881274[/C][/ROW]
[ROW][C]0.04[/C][C]1.20563130442891[/C][C]0.0500172202740005[/C][/ROW]
[ROW][C]0.05[/C][C]1.23094799647348[/C][C]0.0365894099409965[/C][/ROW]
[ROW][C]0.06[/C][C]1.24889506877017[/C][C]0.029397074307056[/C][/ROW]
[ROW][C]0.07[/C][C]1.26213514613268[/C][C]0.0257338463443594[/C][/ROW]
[ROW][C]0.08[/C][C]1.2726465103605[/C][C]0.0234535202699654[/C][/ROW]
[ROW][C]0.09[/C][C]1.28157727337167[/C][C]0.0222229261029542[/C][/ROW]
[ROW][C]0.1[/C][C]1.28960966909607[/C][C]0.0222193799357555[/C][/ROW]
[ROW][C]0.11[/C][C]1.29720431891358[/C][C]0.0232336401665247[/C][/ROW]
[ROW][C]0.12[/C][C]1.30465919917416[/C][C]0.0246371333377859[/C][/ROW]
[ROW][C]0.13[/C][C]1.31210321603779[/C][C]0.0257601278045703[/C][/ROW]
[ROW][C]0.14[/C][C]1.31951241793939[/C][C]0.0261716610125356[/C][/ROW]
[ROW][C]0.15[/C][C]1.32676571350058[/C][C]0.0257674636541186[/C][/ROW]
[ROW][C]0.16[/C][C]1.33371653567879[/C][C]0.0247058393702201[/C][/ROW]
[ROW][C]0.17[/C][C]1.34025117401222[/C][C]0.0232940648652728[/C][/ROW]
[ROW][C]0.18[/C][C]1.34631749155312[/C][C]0.0218507851451397[/C][/ROW]
[ROW][C]0.19[/C][C]1.35192413210713[/C][C]0.0205933829264492[/C][/ROW]
[ROW][C]0.2[/C][C]1.35712118302485[/C][C]0.0196063380274235[/C][/ROW]
[ROW][C]0.21[/C][C]1.36197607708105[/C][C]0.0188667956595089[/C][/ROW]
[ROW][C]0.22[/C][C]1.36655513514839[/C][C]0.0183014633697876[/C][/ROW]
[ROW][C]0.23[/C][C]1.37091515592391[/C][C]0.0178573888589649[/C][/ROW]
[ROW][C]0.24[/C][C]1.37510405447307[/C][C]0.0175182378178189[/C][/ROW]
[ROW][C]0.25[/C][C]1.37916647547036[/C][C]0.0173227635588599[/C][/ROW]
[ROW][C]0.26[/C][C]1.38314976948166[/C][C]0.017334058582202[/C][/ROW]
[ROW][C]0.27[/C][C]1.3871069571341[/C][C]0.0176140655542139[/C][/ROW]
[ROW][C]0.28[/C][C]1.39109526402146[/C][C]0.0181922555411001[/C][/ROW]
[ROW][C]0.29[/C][C]1.3951706378857[/C][C]0.0190509805346363[/C][/ROW]
[ROW][C]0.3[/C][C]1.39937989934531[/C][C]0.0201137269476096[/C][/ROW]
[ROW][C]0.31[/C][C]1.40375271449491[/C][C]0.0212620623519667[/C][/ROW]
[ROW][C]0.32[/C][C]1.40829549950964[/C][C]0.0223532723717708[/C][/ROW]
[ROW][C]0.33[/C][C]1.41298883350462[/C][C]0.0232467861295973[/C][/ROW]
[ROW][C]0.34[/C][C]1.4177891356012[/C][C]0.0238218644860656[/C][/ROW]
[ROW][C]0.35[/C][C]1.42263442754556[/C][C]0.0240026302129325[/C][/ROW]
[ROW][C]0.36[/C][C]1.42745313678495[/C][C]0.0237655199422535[/C][/ROW]
[ROW][C]0.37[/C][C]1.43217427677597[/C][C]0.0231461991081876[/C][/ROW]
[ROW][C]0.38[/C][C]1.436737109275[/C][C]0.0222258691617171[/C][/ROW]
[ROW][C]0.39[/C][C]1.44109859522753[/C][C]0.0211242596821639[/C][/ROW]
[ROW][C]0.4[/C][C]1.44523750870703[/C][C]0.0199664816268865[/C][/ROW]
[ROW][C]0.41[/C][C]1.44915485435709[/C][C]0.0188793903833447[/C][/ROW]
[ROW][C]0.42[/C][C]1.45287098027141[/C][C]0.017957980400672[/C][/ROW]
[ROW][C]0.43[/C][C]1.45642032918577[/C][C]0.0172638627780311[/C][/ROW]
[ROW][C]0.44[/C][C]1.45984501967102[/C][C]0.0168185783654593[/C][/ROW]
[ROW][C]0.45[/C][C]1.46318839976764[/C][C]0.0166024690021069[/C][/ROW]
[ROW][C]0.46[/C][C]1.46648945762093[/C][C]0.0165751876000124[/C][/ROW]
[ROW][C]0.47[/C][C]1.46977863366438[/C][C]0.0166745089024189[/C][/ROW]
[ROW][C]0.48[/C][C]1.47307526763866[/C][C]0.0168309744332286[/C][/ROW]
[ROW][C]0.49[/C][C]1.47638669134724[/C][C]0.0169805439297677[/C][/ROW]
[ROW][C]0.5[/C][C]1.47970884713451[/C][C]0.0170616103844973[/C][/ROW]
[ROW][C]0.51[/C][C]1.48302823616146[/C][C]0.0170304973360206[/C][/ROW]
[ROW][C]0.52[/C][C]1.48632493452646[/C][C]0.0168618004501076[/C][/ROW]
[ROW][C]0.53[/C][C]1.48957633214822[/C][C]0.0165483125297138[/C][/ROW]
[ROW][C]0.54[/C][C]1.49276115271622[/C][C]0.0161088494135005[/C][/ROW]
[ROW][C]0.55[/C][C]1.49586323307447[/C][C]0.0155822976443703[/C][/ROW]
[ROW][C]0.56[/C][C]1.49887451826539[/C][C]0.0150212780070344[/C][/ROW]
[ROW][C]0.57[/C][C]1.50179679753611[/C][C]0.0144862786089052[/C][/ROW]
[ROW][C]0.58[/C][C]1.50464187804491[/C][C]0.0140379250855957[/C][/ROW]
[ROW][C]0.59[/C][C]1.50743014904301[/C][C]0.0137225305587855[/C][/ROW]
[ROW][C]0.6[/C][C]1.51018778501352[/C][C]0.0135667052542912[/C][/ROW]
[ROW][C]0.61[/C][C]1.51294310827485[/C][C]0.0135699481995656[/C][/ROW]
[ROW][C]0.62[/C][C]1.51572281227569[/C][C]0.0137090902459075[/C][/ROW]
[ROW][C]0.63[/C][C]1.51854878200765[/C][C]0.0139416318313989[/C][/ROW]
[ROW][C]0.64[/C][C]1.52143611500158[/C][C]0.0142189690336763[/C][/ROW]
[ROW][C]0.65[/C][C]1.52439266775614[/C][C]0.0144950564162879[/C][/ROW]
[ROW][C]0.66[/C][C]1.52742009818342[/C][C]0.0147401138341035[/C][/ROW]
[ROW][C]0.67[/C][C]1.53051604813218[/C][C]0.0149378326684832[/C][/ROW]
[ROW][C]0.68[/C][C]1.53367691706906[/C][C]0.0150936747452075[/C][/ROW]
[ROW][C]0.69[/C][C]1.53690068656162[/C][C]0.0152221591440851[/C][/ROW]
[ROW][C]0.7[/C][C]1.54018946102054[/C][C]0.0153513700855026[/C][/ROW]
[ROW][C]0.71[/C][C]1.54355170555785[/C][C]0.0155102255325175[/C][/ROW]
[ROW][C]0.72[/C][C]1.54700444042247[/C][C]0.0157329458339059[/C][/ROW]
[ROW][C]0.73[/C][C]1.55057574739289[/C][C]0.0160624533944232[/C][/ROW]
[ROW][C]0.74[/C][C]1.55430778660449[/C][C]0.0165560299417057[/C][/ROW]
[ROW][C]0.75[/C][C]1.55826017731593[/C][C]0.0172855297104613[/C][/ROW]
[ROW][C]0.76[/C][C]1.5625132711561[/C][C]0.0183423295348294[/C][/ROW]
[ROW][C]0.77[/C][C]1.56717082927564[/C][C]0.0198179274788118[/C][/ROW]
[ROW][C]0.78[/C][C]1.57236214305709[/C][C]0.0217922792474746[/C][/ROW]
[ROW][C]0.79[/C][C]1.57824473962099[/C][C]0.0243319992058477[/C][/ROW]
[ROW][C]0.8[/C][C]1.58501017928992[/C][C]0.0275003583203474[/C][/ROW]
[ROW][C]0.81[/C][C]1.59289640173379[/C][C]0.0313898043937664[/C][/ROW]
[ROW][C]0.82[/C][C]1.60220965047489[/C][C]0.0361756574554638[/C][/ROW]
[ROW][C]0.83[/C][C]1.61335617921671[/C][C]0.0421581221500419[/C][/ROW]
[ROW][C]0.84[/C][C]1.62687797730509[/C][C]0.0497699073316231[/C][/ROW]
[ROW][C]0.85[/C][C]1.64347773862027[/C][C]0.0595154765861756[/C][/ROW]
[ROW][C]0.86[/C][C]1.6640080788175[/C][C]0.0717943353628555[/C][/ROW]
[ROW][C]0.87[/C][C]1.68939336555197[/C][C]0.0866264333034662[/C][/ROW]
[ROW][C]0.88[/C][C]1.72045772008698[/C][C]0.103315136716528[/C][/ROW]
[ROW][C]0.89[/C][C]1.75765913935773[/C][C]0.120176649180862[/C][/ROW]
[ROW][C]0.9[/C][C]1.8007803601311[/C][C]0.13453616054513[/C][/ROW]
[ROW][C]0.91[/C][C]1.84868832098026[/C][C]0.143193178606213[/C][/ROW]
[ROW][C]0.92[/C][C]1.89931155191499[/C][C]0.143400513482701[/C][/ROW]
[ROW][C]0.93[/C][C]1.94996108628463[/C][C]0.134056092047019[/C][/ROW]
[ROW][C]0.94[/C][C]1.99803612728485[/C][C]0.116554442802093[/C][/ROW]
[ROW][C]0.95[/C][C]2.04207715973009[/C][C]0.0948263522437369[/C][/ROW]
[ROW][C]0.96[/C][C]2.08309191881018[/C][C]0.0748062313790365[/C][/ROW]
[ROW][C]0.97[/C][C]2.12568801099649[/C][C]0.0645065534014605[/C][/ROW]
[ROW][C]0.98[/C][C]2.17660233806762[/C][C]0.073320347694584[/C][/ROW]
[ROW][C]0.99[/C][C]2.23537672207258[/C][C]0.101357003459625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212862&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
0.011.097418525257220.0443437754797416
0.021.131842782532620.0693623675355281
0.031.171445748397790.0660643598881274
0.041.205631304428910.0500172202740005
0.051.230947996473480.0365894099409965
0.061.248895068770170.029397074307056
0.071.262135146132680.0257338463443594
0.081.27264651036050.0234535202699654
0.091.281577273371670.0222229261029542
0.11.289609669096070.0222193799357555
0.111.297204318913580.0232336401665247
0.121.304659199174160.0246371333377859
0.131.312103216037790.0257601278045703
0.141.319512417939390.0261716610125356
0.151.326765713500580.0257674636541186
0.161.333716535678790.0247058393702201
0.171.340251174012220.0232940648652728
0.181.346317491553120.0218507851451397
0.191.351924132107130.0205933829264492
0.21.357121183024850.0196063380274235
0.211.361976077081050.0188667956595089
0.221.366555135148390.0183014633697876
0.231.370915155923910.0178573888589649
0.241.375104054473070.0175182378178189
0.251.379166475470360.0173227635588599
0.261.383149769481660.017334058582202
0.271.38710695713410.0176140655542139
0.281.391095264021460.0181922555411001
0.291.39517063788570.0190509805346363
0.31.399379899345310.0201137269476096
0.311.403752714494910.0212620623519667
0.321.408295499509640.0223532723717708
0.331.412988833504620.0232467861295973
0.341.41778913560120.0238218644860656
0.351.422634427545560.0240026302129325
0.361.427453136784950.0237655199422535
0.371.432174276775970.0231461991081876
0.381.4367371092750.0222258691617171
0.391.441098595227530.0211242596821639
0.41.445237508707030.0199664816268865
0.411.449154854357090.0188793903833447
0.421.452870980271410.017957980400672
0.431.456420329185770.0172638627780311
0.441.459845019671020.0168185783654593
0.451.463188399767640.0166024690021069
0.461.466489457620930.0165751876000124
0.471.469778633664380.0166745089024189
0.481.473075267638660.0168309744332286
0.491.476386691347240.0169805439297677
0.51.479708847134510.0170616103844973
0.511.483028236161460.0170304973360206
0.521.486324934526460.0168618004501076
0.531.489576332148220.0165483125297138
0.541.492761152716220.0161088494135005
0.551.495863233074470.0155822976443703
0.561.498874518265390.0150212780070344
0.571.501796797536110.0144862786089052
0.581.504641878044910.0140379250855957
0.591.507430149043010.0137225305587855
0.61.510187785013520.0135667052542912
0.611.512943108274850.0135699481995656
0.621.515722812275690.0137090902459075
0.631.518548782007650.0139416318313989
0.641.521436115001580.0142189690336763
0.651.524392667756140.0144950564162879
0.661.527420098183420.0147401138341035
0.671.530516048132180.0149378326684832
0.681.533676917069060.0150936747452075
0.691.536900686561620.0152221591440851
0.71.540189461020540.0153513700855026
0.711.543551705557850.0155102255325175
0.721.547004440422470.0157329458339059
0.731.550575747392890.0160624533944232
0.741.554307786604490.0165560299417057
0.751.558260177315930.0172855297104613
0.761.56251327115610.0183423295348294
0.771.567170829275640.0198179274788118
0.781.572362143057090.0217922792474746
0.791.578244739620990.0243319992058477
0.81.585010179289920.0275003583203474
0.811.592896401733790.0313898043937664
0.821.602209650474890.0361756574554638
0.831.613356179216710.0421581221500419
0.841.626877977305090.0497699073316231
0.851.643477738620270.0595154765861756
0.861.66400807881750.0717943353628555
0.871.689393365551970.0866264333034662
0.881.720457720086980.103315136716528
0.891.757659139357730.120176649180862
0.91.80078036013110.13453616054513
0.911.848688320980260.143193178606213
0.921.899311551914990.143400513482701
0.931.949961086284630.134056092047019
0.941.998036127284850.116554442802093
0.952.042077159730090.0948263522437369
0.962.083091918810180.0748062313790365
0.972.125688010996490.0645065534014605
0.982.176602338067620.073320347694584
0.992.235376722072580.101357003459625



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')