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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 10:55:30 -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/t1380812189whe0id0b0edd3l6.htm/, Retrieved Thu, 02 May 2024 03:33:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212919, Retrieved Thu, 02 May 2024 03:33:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-10-03 11:31:45] [1a124a6b19599cbda26f629ce1a824f0]
- RMP   [Histogram] [] [2013-10-03 11:48:14] [1a124a6b19599cbda26f629ce1a824f0]
- RMP       [Harrell-Davis Quantiles] [] [2013-10-03 14:55:30] [6864a9b8bb386dbf93fa34bd3826a254] [Current]
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Dataseries X:
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26
7.27
7.3
7.32
7.34
7.35
7.36
7.39
7.41
7.43
7.46
7.47
7.5
7.51
7.52
7.58
7.59
7.63
7.64
7.64
7.66
7.67
7.68
7.69
7.7




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=212919&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=212919&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212919&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
0.016.118279304786690.0187230957999041
0.026.130514920665630.0178169643667861
0.036.142698723959030.0183483417716823
0.046.154145539199740.0216713729558548
0.056.165723538017910.0270018803656152
0.066.178169707602360.0324125790108359
0.076.191618046976590.0367052519192653
0.086.205789744462110.0396969992025478
0.096.220309043533880.0417791493628875
0.16.234900681501340.0434591662111402
0.116.249437832815770.0450819413038677
0.126.263900522246880.0467830514860226
0.136.278308633074070.0485032294926981
0.146.292666502417460.0500401809101849
0.156.306932821224930.0511340795688655
0.166.321017544258490.0515664347812874
0.176.334801371028920.0512651098792529
0.186.348168707872850.050358665211472
0.196.361042158590970.0491268625673729
0.26.373407434397720.0479432529535491
0.216.385322265129380.0471629647458822
0.226.396909222509490.0470776224109924
0.236.40833743196190.0478283440581657
0.246.419800199175810.049472932699448
0.256.431494658997590.0519622367762994
0.266.443606955786490.0552271137257976
0.276.45630369767560.0591606339872029
0.286.469728478452720.0636817707053824
0.296.484001393307770.0687004307761007
0.36.499219451686110.07412247010881
0.316.515456227183110.0798573141865363
0.326.532759698679180.0857908876028296
0.336.551147916398950.0917647109769565
0.346.570602855865030.0976001923722771
0.356.591063568273170.103049945743327
0.366.612420375791630.107838434917605
0.376.634512198469860.111675097352295
0.386.657128949057050.11428939499075
0.396.680020218831140.11548236839245
0.46.70291030486690.115145141856087
0.416.725518269208940.113290321319281
0.426.747580532612140.110043673328086
0.436.76887281676590.105690269112215
0.446.789228245276360.100555706306752
0.456.808549085150670.0950485178378462
0.466.826810765660750.0895734261927232
0.476.844058149714880.0844946003138541
0.486.860395242941770.0801038690014141
0.496.875970373448090.0765995430178699
0.56.890959253805260.0740882260258126
0.516.905548268876410.0725583800123248
0.526.919919932147990.0719620913886509
0.536.934241864532920.072160248136055
0.546.948659995337070.0730034218595031
0.556.963296035412210.0743457384823126
0.566.978248652724260.0760523597255715
0.576.993597207967230.0780320665802915
0.587.009406436915370.0802300241571403
0.597.025730212005350.0826181927998173
0.67.042612631742970.085170442004679
0.617.06008529399960.0878284110927558
0.627.078160702344410.0905272047444104
0.637.09682313163270.0930791809298643
0.647.116019549624360.095270396834949
0.657.135653882925680.0968444655210347
0.667.155587655674350.0975429779940705
0.677.17564873034480.0972041547302399
0.687.195647832759710.095776617549797
0.697.215400356265980.093336210969968
0.77.234749326835840.0900936273424838
0.717.253584911356420.086363500649507
0.727.271856613613850.0824927129722366
0.737.289576034906520.0787984274968153
0.747.306810195185050.0755627792075826
0.757.323667305463710.0729316157756064
0.767.340278155614440.0709670520364784
0.777.356776837688530.0696054441800051
0.787.373284469247860.0687300789530463
0.797.389899013354340.0681647642439513
0.87.406693146058210.0677432213460574
0.817.423720199712420.0673491664830534
0.827.441025445089430.0669470664416736
0.837.458656823087260.0665709782546814
0.847.476666942677490.0662954463940301
0.857.495098600489810.0661337610055692
0.867.513950958861710.0659351128252336
0.877.533133034739870.0653432775400709
0.887.552422599448870.063820529966732
0.897.571455995405480.0608457182414499
0.97.589770322362640.0561190626252948
0.917.606899697133720.0497946641997221
0.927.622496815131830.0425068602514702
0.937.63642680031390.0351938351298933
0.947.648784384352080.0287085631941564
0.957.659826726716240.0234313169761866
0.967.669868931240980.0191891773045982
0.977.679194191660670.015595625773429
0.987.687902282213050.012495801011117
0.997.695430741946350.0103789121781993

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.11827930478669 & 0.0187230957999041 \tabularnewline
0.02 & 6.13051492066563 & 0.0178169643667861 \tabularnewline
0.03 & 6.14269872395903 & 0.0183483417716823 \tabularnewline
0.04 & 6.15414553919974 & 0.0216713729558548 \tabularnewline
0.05 & 6.16572353801791 & 0.0270018803656152 \tabularnewline
0.06 & 6.17816970760236 & 0.0324125790108359 \tabularnewline
0.07 & 6.19161804697659 & 0.0367052519192653 \tabularnewline
0.08 & 6.20578974446211 & 0.0396969992025478 \tabularnewline
0.09 & 6.22030904353388 & 0.0417791493628875 \tabularnewline
0.1 & 6.23490068150134 & 0.0434591662111402 \tabularnewline
0.11 & 6.24943783281577 & 0.0450819413038677 \tabularnewline
0.12 & 6.26390052224688 & 0.0467830514860226 \tabularnewline
0.13 & 6.27830863307407 & 0.0485032294926981 \tabularnewline
0.14 & 6.29266650241746 & 0.0500401809101849 \tabularnewline
0.15 & 6.30693282122493 & 0.0511340795688655 \tabularnewline
0.16 & 6.32101754425849 & 0.0515664347812874 \tabularnewline
0.17 & 6.33480137102892 & 0.0512651098792529 \tabularnewline
0.18 & 6.34816870787285 & 0.050358665211472 \tabularnewline
0.19 & 6.36104215859097 & 0.0491268625673729 \tabularnewline
0.2 & 6.37340743439772 & 0.0479432529535491 \tabularnewline
0.21 & 6.38532226512938 & 0.0471629647458822 \tabularnewline
0.22 & 6.39690922250949 & 0.0470776224109924 \tabularnewline
0.23 & 6.4083374319619 & 0.0478283440581657 \tabularnewline
0.24 & 6.41980019917581 & 0.049472932699448 \tabularnewline
0.25 & 6.43149465899759 & 0.0519622367762994 \tabularnewline
0.26 & 6.44360695578649 & 0.0552271137257976 \tabularnewline
0.27 & 6.4563036976756 & 0.0591606339872029 \tabularnewline
0.28 & 6.46972847845272 & 0.0636817707053824 \tabularnewline
0.29 & 6.48400139330777 & 0.0687004307761007 \tabularnewline
0.3 & 6.49921945168611 & 0.07412247010881 \tabularnewline
0.31 & 6.51545622718311 & 0.0798573141865363 \tabularnewline
0.32 & 6.53275969867918 & 0.0857908876028296 \tabularnewline
0.33 & 6.55114791639895 & 0.0917647109769565 \tabularnewline
0.34 & 6.57060285586503 & 0.0976001923722771 \tabularnewline
0.35 & 6.59106356827317 & 0.103049945743327 \tabularnewline
0.36 & 6.61242037579163 & 0.107838434917605 \tabularnewline
0.37 & 6.63451219846986 & 0.111675097352295 \tabularnewline
0.38 & 6.65712894905705 & 0.11428939499075 \tabularnewline
0.39 & 6.68002021883114 & 0.11548236839245 \tabularnewline
0.4 & 6.7029103048669 & 0.115145141856087 \tabularnewline
0.41 & 6.72551826920894 & 0.113290321319281 \tabularnewline
0.42 & 6.74758053261214 & 0.110043673328086 \tabularnewline
0.43 & 6.7688728167659 & 0.105690269112215 \tabularnewline
0.44 & 6.78922824527636 & 0.100555706306752 \tabularnewline
0.45 & 6.80854908515067 & 0.0950485178378462 \tabularnewline
0.46 & 6.82681076566075 & 0.0895734261927232 \tabularnewline
0.47 & 6.84405814971488 & 0.0844946003138541 \tabularnewline
0.48 & 6.86039524294177 & 0.0801038690014141 \tabularnewline
0.49 & 6.87597037344809 & 0.0765995430178699 \tabularnewline
0.5 & 6.89095925380526 & 0.0740882260258126 \tabularnewline
0.51 & 6.90554826887641 & 0.0725583800123248 \tabularnewline
0.52 & 6.91991993214799 & 0.0719620913886509 \tabularnewline
0.53 & 6.93424186453292 & 0.072160248136055 \tabularnewline
0.54 & 6.94865999533707 & 0.0730034218595031 \tabularnewline
0.55 & 6.96329603541221 & 0.0743457384823126 \tabularnewline
0.56 & 6.97824865272426 & 0.0760523597255715 \tabularnewline
0.57 & 6.99359720796723 & 0.0780320665802915 \tabularnewline
0.58 & 7.00940643691537 & 0.0802300241571403 \tabularnewline
0.59 & 7.02573021200535 & 0.0826181927998173 \tabularnewline
0.6 & 7.04261263174297 & 0.085170442004679 \tabularnewline
0.61 & 7.0600852939996 & 0.0878284110927558 \tabularnewline
0.62 & 7.07816070234441 & 0.0905272047444104 \tabularnewline
0.63 & 7.0968231316327 & 0.0930791809298643 \tabularnewline
0.64 & 7.11601954962436 & 0.095270396834949 \tabularnewline
0.65 & 7.13565388292568 & 0.0968444655210347 \tabularnewline
0.66 & 7.15558765567435 & 0.0975429779940705 \tabularnewline
0.67 & 7.1756487303448 & 0.0972041547302399 \tabularnewline
0.68 & 7.19564783275971 & 0.095776617549797 \tabularnewline
0.69 & 7.21540035626598 & 0.093336210969968 \tabularnewline
0.7 & 7.23474932683584 & 0.0900936273424838 \tabularnewline
0.71 & 7.25358491135642 & 0.086363500649507 \tabularnewline
0.72 & 7.27185661361385 & 0.0824927129722366 \tabularnewline
0.73 & 7.28957603490652 & 0.0787984274968153 \tabularnewline
0.74 & 7.30681019518505 & 0.0755627792075826 \tabularnewline
0.75 & 7.32366730546371 & 0.0729316157756064 \tabularnewline
0.76 & 7.34027815561444 & 0.0709670520364784 \tabularnewline
0.77 & 7.35677683768853 & 0.0696054441800051 \tabularnewline
0.78 & 7.37328446924786 & 0.0687300789530463 \tabularnewline
0.79 & 7.38989901335434 & 0.0681647642439513 \tabularnewline
0.8 & 7.40669314605821 & 0.0677432213460574 \tabularnewline
0.81 & 7.42372019971242 & 0.0673491664830534 \tabularnewline
0.82 & 7.44102544508943 & 0.0669470664416736 \tabularnewline
0.83 & 7.45865682308726 & 0.0665709782546814 \tabularnewline
0.84 & 7.47666694267749 & 0.0662954463940301 \tabularnewline
0.85 & 7.49509860048981 & 0.0661337610055692 \tabularnewline
0.86 & 7.51395095886171 & 0.0659351128252336 \tabularnewline
0.87 & 7.53313303473987 & 0.0653432775400709 \tabularnewline
0.88 & 7.55242259944887 & 0.063820529966732 \tabularnewline
0.89 & 7.57145599540548 & 0.0608457182414499 \tabularnewline
0.9 & 7.58977032236264 & 0.0561190626252948 \tabularnewline
0.91 & 7.60689969713372 & 0.0497946641997221 \tabularnewline
0.92 & 7.62249681513183 & 0.0425068602514702 \tabularnewline
0.93 & 7.6364268003139 & 0.0351938351298933 \tabularnewline
0.94 & 7.64878438435208 & 0.0287085631941564 \tabularnewline
0.95 & 7.65982672671624 & 0.0234313169761866 \tabularnewline
0.96 & 7.66986893124098 & 0.0191891773045982 \tabularnewline
0.97 & 7.67919419166067 & 0.015595625773429 \tabularnewline
0.98 & 7.68790228221305 & 0.012495801011117 \tabularnewline
0.99 & 7.69543074194635 & 0.0103789121781993 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212919&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]6.11827930478669[/C][C]0.0187230957999041[/C][/ROW]
[ROW][C]0.02[/C][C]6.13051492066563[/C][C]0.0178169643667861[/C][/ROW]
[ROW][C]0.03[/C][C]6.14269872395903[/C][C]0.0183483417716823[/C][/ROW]
[ROW][C]0.04[/C][C]6.15414553919974[/C][C]0.0216713729558548[/C][/ROW]
[ROW][C]0.05[/C][C]6.16572353801791[/C][C]0.0270018803656152[/C][/ROW]
[ROW][C]0.06[/C][C]6.17816970760236[/C][C]0.0324125790108359[/C][/ROW]
[ROW][C]0.07[/C][C]6.19161804697659[/C][C]0.0367052519192653[/C][/ROW]
[ROW][C]0.08[/C][C]6.20578974446211[/C][C]0.0396969992025478[/C][/ROW]
[ROW][C]0.09[/C][C]6.22030904353388[/C][C]0.0417791493628875[/C][/ROW]
[ROW][C]0.1[/C][C]6.23490068150134[/C][C]0.0434591662111402[/C][/ROW]
[ROW][C]0.11[/C][C]6.24943783281577[/C][C]0.0450819413038677[/C][/ROW]
[ROW][C]0.12[/C][C]6.26390052224688[/C][C]0.0467830514860226[/C][/ROW]
[ROW][C]0.13[/C][C]6.27830863307407[/C][C]0.0485032294926981[/C][/ROW]
[ROW][C]0.14[/C][C]6.29266650241746[/C][C]0.0500401809101849[/C][/ROW]
[ROW][C]0.15[/C][C]6.30693282122493[/C][C]0.0511340795688655[/C][/ROW]
[ROW][C]0.16[/C][C]6.32101754425849[/C][C]0.0515664347812874[/C][/ROW]
[ROW][C]0.17[/C][C]6.33480137102892[/C][C]0.0512651098792529[/C][/ROW]
[ROW][C]0.18[/C][C]6.34816870787285[/C][C]0.050358665211472[/C][/ROW]
[ROW][C]0.19[/C][C]6.36104215859097[/C][C]0.0491268625673729[/C][/ROW]
[ROW][C]0.2[/C][C]6.37340743439772[/C][C]0.0479432529535491[/C][/ROW]
[ROW][C]0.21[/C][C]6.38532226512938[/C][C]0.0471629647458822[/C][/ROW]
[ROW][C]0.22[/C][C]6.39690922250949[/C][C]0.0470776224109924[/C][/ROW]
[ROW][C]0.23[/C][C]6.4083374319619[/C][C]0.0478283440581657[/C][/ROW]
[ROW][C]0.24[/C][C]6.41980019917581[/C][C]0.049472932699448[/C][/ROW]
[ROW][C]0.25[/C][C]6.43149465899759[/C][C]0.0519622367762994[/C][/ROW]
[ROW][C]0.26[/C][C]6.44360695578649[/C][C]0.0552271137257976[/C][/ROW]
[ROW][C]0.27[/C][C]6.4563036976756[/C][C]0.0591606339872029[/C][/ROW]
[ROW][C]0.28[/C][C]6.46972847845272[/C][C]0.0636817707053824[/C][/ROW]
[ROW][C]0.29[/C][C]6.48400139330777[/C][C]0.0687004307761007[/C][/ROW]
[ROW][C]0.3[/C][C]6.49921945168611[/C][C]0.07412247010881[/C][/ROW]
[ROW][C]0.31[/C][C]6.51545622718311[/C][C]0.0798573141865363[/C][/ROW]
[ROW][C]0.32[/C][C]6.53275969867918[/C][C]0.0857908876028296[/C][/ROW]
[ROW][C]0.33[/C][C]6.55114791639895[/C][C]0.0917647109769565[/C][/ROW]
[ROW][C]0.34[/C][C]6.57060285586503[/C][C]0.0976001923722771[/C][/ROW]
[ROW][C]0.35[/C][C]6.59106356827317[/C][C]0.103049945743327[/C][/ROW]
[ROW][C]0.36[/C][C]6.61242037579163[/C][C]0.107838434917605[/C][/ROW]
[ROW][C]0.37[/C][C]6.63451219846986[/C][C]0.111675097352295[/C][/ROW]
[ROW][C]0.38[/C][C]6.65712894905705[/C][C]0.11428939499075[/C][/ROW]
[ROW][C]0.39[/C][C]6.68002021883114[/C][C]0.11548236839245[/C][/ROW]
[ROW][C]0.4[/C][C]6.7029103048669[/C][C]0.115145141856087[/C][/ROW]
[ROW][C]0.41[/C][C]6.72551826920894[/C][C]0.113290321319281[/C][/ROW]
[ROW][C]0.42[/C][C]6.74758053261214[/C][C]0.110043673328086[/C][/ROW]
[ROW][C]0.43[/C][C]6.7688728167659[/C][C]0.105690269112215[/C][/ROW]
[ROW][C]0.44[/C][C]6.78922824527636[/C][C]0.100555706306752[/C][/ROW]
[ROW][C]0.45[/C][C]6.80854908515067[/C][C]0.0950485178378462[/C][/ROW]
[ROW][C]0.46[/C][C]6.82681076566075[/C][C]0.0895734261927232[/C][/ROW]
[ROW][C]0.47[/C][C]6.84405814971488[/C][C]0.0844946003138541[/C][/ROW]
[ROW][C]0.48[/C][C]6.86039524294177[/C][C]0.0801038690014141[/C][/ROW]
[ROW][C]0.49[/C][C]6.87597037344809[/C][C]0.0765995430178699[/C][/ROW]
[ROW][C]0.5[/C][C]6.89095925380526[/C][C]0.0740882260258126[/C][/ROW]
[ROW][C]0.51[/C][C]6.90554826887641[/C][C]0.0725583800123248[/C][/ROW]
[ROW][C]0.52[/C][C]6.91991993214799[/C][C]0.0719620913886509[/C][/ROW]
[ROW][C]0.53[/C][C]6.93424186453292[/C][C]0.072160248136055[/C][/ROW]
[ROW][C]0.54[/C][C]6.94865999533707[/C][C]0.0730034218595031[/C][/ROW]
[ROW][C]0.55[/C][C]6.96329603541221[/C][C]0.0743457384823126[/C][/ROW]
[ROW][C]0.56[/C][C]6.97824865272426[/C][C]0.0760523597255715[/C][/ROW]
[ROW][C]0.57[/C][C]6.99359720796723[/C][C]0.0780320665802915[/C][/ROW]
[ROW][C]0.58[/C][C]7.00940643691537[/C][C]0.0802300241571403[/C][/ROW]
[ROW][C]0.59[/C][C]7.02573021200535[/C][C]0.0826181927998173[/C][/ROW]
[ROW][C]0.6[/C][C]7.04261263174297[/C][C]0.085170442004679[/C][/ROW]
[ROW][C]0.61[/C][C]7.0600852939996[/C][C]0.0878284110927558[/C][/ROW]
[ROW][C]0.62[/C][C]7.07816070234441[/C][C]0.0905272047444104[/C][/ROW]
[ROW][C]0.63[/C][C]7.0968231316327[/C][C]0.0930791809298643[/C][/ROW]
[ROW][C]0.64[/C][C]7.11601954962436[/C][C]0.095270396834949[/C][/ROW]
[ROW][C]0.65[/C][C]7.13565388292568[/C][C]0.0968444655210347[/C][/ROW]
[ROW][C]0.66[/C][C]7.15558765567435[/C][C]0.0975429779940705[/C][/ROW]
[ROW][C]0.67[/C][C]7.1756487303448[/C][C]0.0972041547302399[/C][/ROW]
[ROW][C]0.68[/C][C]7.19564783275971[/C][C]0.095776617549797[/C][/ROW]
[ROW][C]0.69[/C][C]7.21540035626598[/C][C]0.093336210969968[/C][/ROW]
[ROW][C]0.7[/C][C]7.23474932683584[/C][C]0.0900936273424838[/C][/ROW]
[ROW][C]0.71[/C][C]7.25358491135642[/C][C]0.086363500649507[/C][/ROW]
[ROW][C]0.72[/C][C]7.27185661361385[/C][C]0.0824927129722366[/C][/ROW]
[ROW][C]0.73[/C][C]7.28957603490652[/C][C]0.0787984274968153[/C][/ROW]
[ROW][C]0.74[/C][C]7.30681019518505[/C][C]0.0755627792075826[/C][/ROW]
[ROW][C]0.75[/C][C]7.32366730546371[/C][C]0.0729316157756064[/C][/ROW]
[ROW][C]0.76[/C][C]7.34027815561444[/C][C]0.0709670520364784[/C][/ROW]
[ROW][C]0.77[/C][C]7.35677683768853[/C][C]0.0696054441800051[/C][/ROW]
[ROW][C]0.78[/C][C]7.37328446924786[/C][C]0.0687300789530463[/C][/ROW]
[ROW][C]0.79[/C][C]7.38989901335434[/C][C]0.0681647642439513[/C][/ROW]
[ROW][C]0.8[/C][C]7.40669314605821[/C][C]0.0677432213460574[/C][/ROW]
[ROW][C]0.81[/C][C]7.42372019971242[/C][C]0.0673491664830534[/C][/ROW]
[ROW][C]0.82[/C][C]7.44102544508943[/C][C]0.0669470664416736[/C][/ROW]
[ROW][C]0.83[/C][C]7.45865682308726[/C][C]0.0665709782546814[/C][/ROW]
[ROW][C]0.84[/C][C]7.47666694267749[/C][C]0.0662954463940301[/C][/ROW]
[ROW][C]0.85[/C][C]7.49509860048981[/C][C]0.0661337610055692[/C][/ROW]
[ROW][C]0.86[/C][C]7.51395095886171[/C][C]0.0659351128252336[/C][/ROW]
[ROW][C]0.87[/C][C]7.53313303473987[/C][C]0.0653432775400709[/C][/ROW]
[ROW][C]0.88[/C][C]7.55242259944887[/C][C]0.063820529966732[/C][/ROW]
[ROW][C]0.89[/C][C]7.57145599540548[/C][C]0.0608457182414499[/C][/ROW]
[ROW][C]0.9[/C][C]7.58977032236264[/C][C]0.0561190626252948[/C][/ROW]
[ROW][C]0.91[/C][C]7.60689969713372[/C][C]0.0497946641997221[/C][/ROW]
[ROW][C]0.92[/C][C]7.62249681513183[/C][C]0.0425068602514702[/C][/ROW]
[ROW][C]0.93[/C][C]7.6364268003139[/C][C]0.0351938351298933[/C][/ROW]
[ROW][C]0.94[/C][C]7.64878438435208[/C][C]0.0287085631941564[/C][/ROW]
[ROW][C]0.95[/C][C]7.65982672671624[/C][C]0.0234313169761866[/C][/ROW]
[ROW][C]0.96[/C][C]7.66986893124098[/C][C]0.0191891773045982[/C][/ROW]
[ROW][C]0.97[/C][C]7.67919419166067[/C][C]0.015595625773429[/C][/ROW]
[ROW][C]0.98[/C][C]7.68790228221305[/C][C]0.012495801011117[/C][/ROW]
[ROW][C]0.99[/C][C]7.69543074194635[/C][C]0.0103789121781993[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212919&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212919&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
0.016.118279304786690.0187230957999041
0.026.130514920665630.0178169643667861
0.036.142698723959030.0183483417716823
0.046.154145539199740.0216713729558548
0.056.165723538017910.0270018803656152
0.066.178169707602360.0324125790108359
0.076.191618046976590.0367052519192653
0.086.205789744462110.0396969992025478
0.096.220309043533880.0417791493628875
0.16.234900681501340.0434591662111402
0.116.249437832815770.0450819413038677
0.126.263900522246880.0467830514860226
0.136.278308633074070.0485032294926981
0.146.292666502417460.0500401809101849
0.156.306932821224930.0511340795688655
0.166.321017544258490.0515664347812874
0.176.334801371028920.0512651098792529
0.186.348168707872850.050358665211472
0.196.361042158590970.0491268625673729
0.26.373407434397720.0479432529535491
0.216.385322265129380.0471629647458822
0.226.396909222509490.0470776224109924
0.236.40833743196190.0478283440581657
0.246.419800199175810.049472932699448
0.256.431494658997590.0519622367762994
0.266.443606955786490.0552271137257976
0.276.45630369767560.0591606339872029
0.286.469728478452720.0636817707053824
0.296.484001393307770.0687004307761007
0.36.499219451686110.07412247010881
0.316.515456227183110.0798573141865363
0.326.532759698679180.0857908876028296
0.336.551147916398950.0917647109769565
0.346.570602855865030.0976001923722771
0.356.591063568273170.103049945743327
0.366.612420375791630.107838434917605
0.376.634512198469860.111675097352295
0.386.657128949057050.11428939499075
0.396.680020218831140.11548236839245
0.46.70291030486690.115145141856087
0.416.725518269208940.113290321319281
0.426.747580532612140.110043673328086
0.436.76887281676590.105690269112215
0.446.789228245276360.100555706306752
0.456.808549085150670.0950485178378462
0.466.826810765660750.0895734261927232
0.476.844058149714880.0844946003138541
0.486.860395242941770.0801038690014141
0.496.875970373448090.0765995430178699
0.56.890959253805260.0740882260258126
0.516.905548268876410.0725583800123248
0.526.919919932147990.0719620913886509
0.536.934241864532920.072160248136055
0.546.948659995337070.0730034218595031
0.556.963296035412210.0743457384823126
0.566.978248652724260.0760523597255715
0.576.993597207967230.0780320665802915
0.587.009406436915370.0802300241571403
0.597.025730212005350.0826181927998173
0.67.042612631742970.085170442004679
0.617.06008529399960.0878284110927558
0.627.078160702344410.0905272047444104
0.637.09682313163270.0930791809298643
0.647.116019549624360.095270396834949
0.657.135653882925680.0968444655210347
0.667.155587655674350.0975429779940705
0.677.17564873034480.0972041547302399
0.687.195647832759710.095776617549797
0.697.215400356265980.093336210969968
0.77.234749326835840.0900936273424838
0.717.253584911356420.086363500649507
0.727.271856613613850.0824927129722366
0.737.289576034906520.0787984274968153
0.747.306810195185050.0755627792075826
0.757.323667305463710.0729316157756064
0.767.340278155614440.0709670520364784
0.777.356776837688530.0696054441800051
0.787.373284469247860.0687300789530463
0.797.389899013354340.0681647642439513
0.87.406693146058210.0677432213460574
0.817.423720199712420.0673491664830534
0.827.441025445089430.0669470664416736
0.837.458656823087260.0665709782546814
0.847.476666942677490.0662954463940301
0.857.495098600489810.0661337610055692
0.867.513950958861710.0659351128252336
0.877.533133034739870.0653432775400709
0.887.552422599448870.063820529966732
0.897.571455995405480.0608457182414499
0.97.589770322362640.0561190626252948
0.917.606899697133720.0497946641997221
0.927.622496815131830.0425068602514702
0.937.63642680031390.0351938351298933
0.947.648784384352080.0287085631941564
0.957.659826726716240.0234313169761866
0.967.669868931240980.0191891773045982
0.977.679194191660670.015595625773429
0.987.687902282213050.012495801011117
0.997.695430741946350.0103789121781993



Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')