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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 computationMon, 09 Feb 2015 10:20:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/09/t1423477270aa6b2yqmp6g3kdj.htm/, Retrieved Sat, 18 May 2024 08:17:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276855, Retrieved Sat, 18 May 2024 08:17:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-01-26 10:28:14] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMPD    [Harrell-Davis Quantiles] [Harrel-Davis Wekz...] [2015-02-09 10:20:23] [70d22f55a70f3427b60459805adf1606] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.8
8
8.1
8.2
8.1
7.7
6.9
6.6
6.7
7
7.1
7
6.9
6.8
6.8
7
7
6.8
6.7
6.6
6.4
6.4
6.4
6.5
6.6
6.5
6.3
6.2
6.1
6.5
7.1
7.2
6.9
6.2
6
6.2
6.9
7.4
7.8
7.8
7.7
7.7
7.6
7.6
7.7
8
8.2
8.4
8.2
8.1
8.1
8.2
8.3
8.4
8.5
8.3
8.1
7.9
7.7
7.6
7.4
7.3
7
6.8
6.8
6.9
7.3
7.5
7.5
7.2
7
6.9
7
7.1
7.1
7.2
7.3
7.3
7.2
7.5
8
8.7
9
9
8.8
8.5
8.5
8.5
8.5
8.6
8.7
8.8
8.8
8.7
8.7
8.8

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=276855&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=276855&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276855&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
0.016.048641748719130.0909423886751834
0.026.115247684935460.0788179064725683
0.036.17293487233690.0713210148269925
0.046.220446797488540.0781063562873861
0.056.264328429675710.0911468335396719
0.066.308036119707690.0994223091817898
0.076.351241670641890.100595020493357
0.086.392474499299990.098119485643769
0.096.430997185695210.0960261990669141
0.16.467106339152440.0961851401425473
0.116.501613626997040.09846621951473
0.126.535299782868660.101945046977861
0.136.568639636466730.105585753815969
0.146.601754428989570.108439331649164
0.156.634473352744690.109742210133581
0.166.666433708287460.109001776431458
0.176.697193964596220.10614184236282
0.186.726344613776020.101516365977341
0.196.753596918929740.0957981403772406
0.26.778830754706720.0897776928733233
0.216.802094949438410.08413125245986
0.226.823569593214610.0792871617580969
0.236.843510199139010.0753883378334693
0.246.862194072189080.0724000129033138
0.256.879882003187750.0701980371976176
0.266.896799109265040.0686475221241206
0.276.913132012181860.0676269586857243
0.286.929037011681710.0670665366749345
0.296.944654081943170.0669483397668556
0.36.96012228637480.0673357458968014
0.316.975592537369590.0683612138473407
0.326.991233923070610.0702018052372394
0.337.007231028514470.0729612113573039
0.347.023772161438040.0766445543664714
0.357.041031475254510.0811121598154818
0.367.059150339358790.0861158808875596
0.377.078223811211340.0913655316997458
0.387.098296439434950.0966050012215506
0.397.119368550229910.101644669717667
0.47.141410859561880.106406797160338
0.417.164382868069250.110924269748021
0.427.188249683091890.115286127503099
0.437.212992689909750.119633447960531
0.447.23861140585620.124054897129621
0.457.265116241154290.128599000035674
0.467.292514140827070.133195382335856
0.477.320790738375860.137672870972737
0.487.349893455883260.141772011900077
0.497.379719862989310.145200084706842
0.57.410114648158190.147655420521973
0.517.440876983306980.148929412318948
0.527.471778184414650.148915496443218
0.537.502587704453080.147667206946087
0.547.533103900776640.145383152178962
0.557.563184868540350.142439765584292
0.567.592774034625260.139325336955042
0.577.621915270665270.136580419888206
0.587.650753151492450.134752222969842
0.597.67951579535350.134252303192946
0.67.708480488478410.135285080008358
0.617.737925758621640.137739301171915
0.627.768077102245230.141214022982364
0.637.799056279562120.145034119206139
0.647.830845008880040.148380397455694
0.657.863272345447870.150463993421921
0.667.896030961637420.150653591444841
0.677.928721666351930.14860476651058
0.687.960919191941850.144347392079217
0.697.992247216298610.138281611068962
0.78.022448216041570.131114647240826
0.718.051434734977640.123768101059918
0.728.079312604795440.117211886913206
0.738.106372222231560.112289125956158
0.748.133049424822420.109584197224575
0.758.159861504450160.109333678545241
0.768.187326270174760.111325690283648
0.778.215873860880150.114956277309082
0.788.245763714720950.119304174286006
0.798.27702324183720.123250692387478
0.88.309428452246850.125671478744987
0.818.342545522835610.125713743375751
0.828.375840586727830.123086229052813
0.838.408840480767550.118220885418143
0.848.441295307730890.112289707930116
0.858.473270491277630.106889807539663
0.868.505103814725410.103348578195708
0.878.537216213778130.101865654443877
0.888.56985062842160.101227975442562
0.898.60287999369040.0994185263916886
0.98.635806749180060.0949423595930662
0.918.6679524542960.0876929540047504
0.928.698702033481920.0788032506502143
0.938.727714053288130.0694439489693142
0.948.755325765503440.060285618301339
0.958.783597583283060.0538166281937058
0.968.817553912543940.0588689048399184
0.978.863634870768380.0807915047887988
0.988.921513796618670.0959996211770066
0.998.974605035576030.0633493723303896

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.04864174871913 & 0.0909423886751834 \tabularnewline
0.02 & 6.11524768493546 & 0.0788179064725683 \tabularnewline
0.03 & 6.1729348723369 & 0.0713210148269925 \tabularnewline
0.04 & 6.22044679748854 & 0.0781063562873861 \tabularnewline
0.05 & 6.26432842967571 & 0.0911468335396719 \tabularnewline
0.06 & 6.30803611970769 & 0.0994223091817898 \tabularnewline
0.07 & 6.35124167064189 & 0.100595020493357 \tabularnewline
0.08 & 6.39247449929999 & 0.098119485643769 \tabularnewline
0.09 & 6.43099718569521 & 0.0960261990669141 \tabularnewline
0.1 & 6.46710633915244 & 0.0961851401425473 \tabularnewline
0.11 & 6.50161362699704 & 0.09846621951473 \tabularnewline
0.12 & 6.53529978286866 & 0.101945046977861 \tabularnewline
0.13 & 6.56863963646673 & 0.105585753815969 \tabularnewline
0.14 & 6.60175442898957 & 0.108439331649164 \tabularnewline
0.15 & 6.63447335274469 & 0.109742210133581 \tabularnewline
0.16 & 6.66643370828746 & 0.109001776431458 \tabularnewline
0.17 & 6.69719396459622 & 0.10614184236282 \tabularnewline
0.18 & 6.72634461377602 & 0.101516365977341 \tabularnewline
0.19 & 6.75359691892974 & 0.0957981403772406 \tabularnewline
0.2 & 6.77883075470672 & 0.0897776928733233 \tabularnewline
0.21 & 6.80209494943841 & 0.08413125245986 \tabularnewline
0.22 & 6.82356959321461 & 0.0792871617580969 \tabularnewline
0.23 & 6.84351019913901 & 0.0753883378334693 \tabularnewline
0.24 & 6.86219407218908 & 0.0724000129033138 \tabularnewline
0.25 & 6.87988200318775 & 0.0701980371976176 \tabularnewline
0.26 & 6.89679910926504 & 0.0686475221241206 \tabularnewline
0.27 & 6.91313201218186 & 0.0676269586857243 \tabularnewline
0.28 & 6.92903701168171 & 0.0670665366749345 \tabularnewline
0.29 & 6.94465408194317 & 0.0669483397668556 \tabularnewline
0.3 & 6.9601222863748 & 0.0673357458968014 \tabularnewline
0.31 & 6.97559253736959 & 0.0683612138473407 \tabularnewline
0.32 & 6.99123392307061 & 0.0702018052372394 \tabularnewline
0.33 & 7.00723102851447 & 0.0729612113573039 \tabularnewline
0.34 & 7.02377216143804 & 0.0766445543664714 \tabularnewline
0.35 & 7.04103147525451 & 0.0811121598154818 \tabularnewline
0.36 & 7.05915033935879 & 0.0861158808875596 \tabularnewline
0.37 & 7.07822381121134 & 0.0913655316997458 \tabularnewline
0.38 & 7.09829643943495 & 0.0966050012215506 \tabularnewline
0.39 & 7.11936855022991 & 0.101644669717667 \tabularnewline
0.4 & 7.14141085956188 & 0.106406797160338 \tabularnewline
0.41 & 7.16438286806925 & 0.110924269748021 \tabularnewline
0.42 & 7.18824968309189 & 0.115286127503099 \tabularnewline
0.43 & 7.21299268990975 & 0.119633447960531 \tabularnewline
0.44 & 7.2386114058562 & 0.124054897129621 \tabularnewline
0.45 & 7.26511624115429 & 0.128599000035674 \tabularnewline
0.46 & 7.29251414082707 & 0.133195382335856 \tabularnewline
0.47 & 7.32079073837586 & 0.137672870972737 \tabularnewline
0.48 & 7.34989345588326 & 0.141772011900077 \tabularnewline
0.49 & 7.37971986298931 & 0.145200084706842 \tabularnewline
0.5 & 7.41011464815819 & 0.147655420521973 \tabularnewline
0.51 & 7.44087698330698 & 0.148929412318948 \tabularnewline
0.52 & 7.47177818441465 & 0.148915496443218 \tabularnewline
0.53 & 7.50258770445308 & 0.147667206946087 \tabularnewline
0.54 & 7.53310390077664 & 0.145383152178962 \tabularnewline
0.55 & 7.56318486854035 & 0.142439765584292 \tabularnewline
0.56 & 7.59277403462526 & 0.139325336955042 \tabularnewline
0.57 & 7.62191527066527 & 0.136580419888206 \tabularnewline
0.58 & 7.65075315149245 & 0.134752222969842 \tabularnewline
0.59 & 7.6795157953535 & 0.134252303192946 \tabularnewline
0.6 & 7.70848048847841 & 0.135285080008358 \tabularnewline
0.61 & 7.73792575862164 & 0.137739301171915 \tabularnewline
0.62 & 7.76807710224523 & 0.141214022982364 \tabularnewline
0.63 & 7.79905627956212 & 0.145034119206139 \tabularnewline
0.64 & 7.83084500888004 & 0.148380397455694 \tabularnewline
0.65 & 7.86327234544787 & 0.150463993421921 \tabularnewline
0.66 & 7.89603096163742 & 0.150653591444841 \tabularnewline
0.67 & 7.92872166635193 & 0.14860476651058 \tabularnewline
0.68 & 7.96091919194185 & 0.144347392079217 \tabularnewline
0.69 & 7.99224721629861 & 0.138281611068962 \tabularnewline
0.7 & 8.02244821604157 & 0.131114647240826 \tabularnewline
0.71 & 8.05143473497764 & 0.123768101059918 \tabularnewline
0.72 & 8.07931260479544 & 0.117211886913206 \tabularnewline
0.73 & 8.10637222223156 & 0.112289125956158 \tabularnewline
0.74 & 8.13304942482242 & 0.109584197224575 \tabularnewline
0.75 & 8.15986150445016 & 0.109333678545241 \tabularnewline
0.76 & 8.18732627017476 & 0.111325690283648 \tabularnewline
0.77 & 8.21587386088015 & 0.114956277309082 \tabularnewline
0.78 & 8.24576371472095 & 0.119304174286006 \tabularnewline
0.79 & 8.2770232418372 & 0.123250692387478 \tabularnewline
0.8 & 8.30942845224685 & 0.125671478744987 \tabularnewline
0.81 & 8.34254552283561 & 0.125713743375751 \tabularnewline
0.82 & 8.37584058672783 & 0.123086229052813 \tabularnewline
0.83 & 8.40884048076755 & 0.118220885418143 \tabularnewline
0.84 & 8.44129530773089 & 0.112289707930116 \tabularnewline
0.85 & 8.47327049127763 & 0.106889807539663 \tabularnewline
0.86 & 8.50510381472541 & 0.103348578195708 \tabularnewline
0.87 & 8.53721621377813 & 0.101865654443877 \tabularnewline
0.88 & 8.5698506284216 & 0.101227975442562 \tabularnewline
0.89 & 8.6028799936904 & 0.0994185263916886 \tabularnewline
0.9 & 8.63580674918006 & 0.0949423595930662 \tabularnewline
0.91 & 8.667952454296 & 0.0876929540047504 \tabularnewline
0.92 & 8.69870203348192 & 0.0788032506502143 \tabularnewline
0.93 & 8.72771405328813 & 0.0694439489693142 \tabularnewline
0.94 & 8.75532576550344 & 0.060285618301339 \tabularnewline
0.95 & 8.78359758328306 & 0.0538166281937058 \tabularnewline
0.96 & 8.81755391254394 & 0.0588689048399184 \tabularnewline
0.97 & 8.86363487076838 & 0.0807915047887988 \tabularnewline
0.98 & 8.92151379661867 & 0.0959996211770066 \tabularnewline
0.99 & 8.97460503557603 & 0.0633493723303896 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276855&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]6.04864174871913[/C][C]0.0909423886751834[/C][/ROW]
[ROW][C]0.02[/C][C]6.11524768493546[/C][C]0.0788179064725683[/C][/ROW]
[ROW][C]0.03[/C][C]6.1729348723369[/C][C]0.0713210148269925[/C][/ROW]
[ROW][C]0.04[/C][C]6.22044679748854[/C][C]0.0781063562873861[/C][/ROW]
[ROW][C]0.05[/C][C]6.26432842967571[/C][C]0.0911468335396719[/C][/ROW]
[ROW][C]0.06[/C][C]6.30803611970769[/C][C]0.0994223091817898[/C][/ROW]
[ROW][C]0.07[/C][C]6.35124167064189[/C][C]0.100595020493357[/C][/ROW]
[ROW][C]0.08[/C][C]6.39247449929999[/C][C]0.098119485643769[/C][/ROW]
[ROW][C]0.09[/C][C]6.43099718569521[/C][C]0.0960261990669141[/C][/ROW]
[ROW][C]0.1[/C][C]6.46710633915244[/C][C]0.0961851401425473[/C][/ROW]
[ROW][C]0.11[/C][C]6.50161362699704[/C][C]0.09846621951473[/C][/ROW]
[ROW][C]0.12[/C][C]6.53529978286866[/C][C]0.101945046977861[/C][/ROW]
[ROW][C]0.13[/C][C]6.56863963646673[/C][C]0.105585753815969[/C][/ROW]
[ROW][C]0.14[/C][C]6.60175442898957[/C][C]0.108439331649164[/C][/ROW]
[ROW][C]0.15[/C][C]6.63447335274469[/C][C]0.109742210133581[/C][/ROW]
[ROW][C]0.16[/C][C]6.66643370828746[/C][C]0.109001776431458[/C][/ROW]
[ROW][C]0.17[/C][C]6.69719396459622[/C][C]0.10614184236282[/C][/ROW]
[ROW][C]0.18[/C][C]6.72634461377602[/C][C]0.101516365977341[/C][/ROW]
[ROW][C]0.19[/C][C]6.75359691892974[/C][C]0.0957981403772406[/C][/ROW]
[ROW][C]0.2[/C][C]6.77883075470672[/C][C]0.0897776928733233[/C][/ROW]
[ROW][C]0.21[/C][C]6.80209494943841[/C][C]0.08413125245986[/C][/ROW]
[ROW][C]0.22[/C][C]6.82356959321461[/C][C]0.0792871617580969[/C][/ROW]
[ROW][C]0.23[/C][C]6.84351019913901[/C][C]0.0753883378334693[/C][/ROW]
[ROW][C]0.24[/C][C]6.86219407218908[/C][C]0.0724000129033138[/C][/ROW]
[ROW][C]0.25[/C][C]6.87988200318775[/C][C]0.0701980371976176[/C][/ROW]
[ROW][C]0.26[/C][C]6.89679910926504[/C][C]0.0686475221241206[/C][/ROW]
[ROW][C]0.27[/C][C]6.91313201218186[/C][C]0.0676269586857243[/C][/ROW]
[ROW][C]0.28[/C][C]6.92903701168171[/C][C]0.0670665366749345[/C][/ROW]
[ROW][C]0.29[/C][C]6.94465408194317[/C][C]0.0669483397668556[/C][/ROW]
[ROW][C]0.3[/C][C]6.9601222863748[/C][C]0.0673357458968014[/C][/ROW]
[ROW][C]0.31[/C][C]6.97559253736959[/C][C]0.0683612138473407[/C][/ROW]
[ROW][C]0.32[/C][C]6.99123392307061[/C][C]0.0702018052372394[/C][/ROW]
[ROW][C]0.33[/C][C]7.00723102851447[/C][C]0.0729612113573039[/C][/ROW]
[ROW][C]0.34[/C][C]7.02377216143804[/C][C]0.0766445543664714[/C][/ROW]
[ROW][C]0.35[/C][C]7.04103147525451[/C][C]0.0811121598154818[/C][/ROW]
[ROW][C]0.36[/C][C]7.05915033935879[/C][C]0.0861158808875596[/C][/ROW]
[ROW][C]0.37[/C][C]7.07822381121134[/C][C]0.0913655316997458[/C][/ROW]
[ROW][C]0.38[/C][C]7.09829643943495[/C][C]0.0966050012215506[/C][/ROW]
[ROW][C]0.39[/C][C]7.11936855022991[/C][C]0.101644669717667[/C][/ROW]
[ROW][C]0.4[/C][C]7.14141085956188[/C][C]0.106406797160338[/C][/ROW]
[ROW][C]0.41[/C][C]7.16438286806925[/C][C]0.110924269748021[/C][/ROW]
[ROW][C]0.42[/C][C]7.18824968309189[/C][C]0.115286127503099[/C][/ROW]
[ROW][C]0.43[/C][C]7.21299268990975[/C][C]0.119633447960531[/C][/ROW]
[ROW][C]0.44[/C][C]7.2386114058562[/C][C]0.124054897129621[/C][/ROW]
[ROW][C]0.45[/C][C]7.26511624115429[/C][C]0.128599000035674[/C][/ROW]
[ROW][C]0.46[/C][C]7.29251414082707[/C][C]0.133195382335856[/C][/ROW]
[ROW][C]0.47[/C][C]7.32079073837586[/C][C]0.137672870972737[/C][/ROW]
[ROW][C]0.48[/C][C]7.34989345588326[/C][C]0.141772011900077[/C][/ROW]
[ROW][C]0.49[/C][C]7.37971986298931[/C][C]0.145200084706842[/C][/ROW]
[ROW][C]0.5[/C][C]7.41011464815819[/C][C]0.147655420521973[/C][/ROW]
[ROW][C]0.51[/C][C]7.44087698330698[/C][C]0.148929412318948[/C][/ROW]
[ROW][C]0.52[/C][C]7.47177818441465[/C][C]0.148915496443218[/C][/ROW]
[ROW][C]0.53[/C][C]7.50258770445308[/C][C]0.147667206946087[/C][/ROW]
[ROW][C]0.54[/C][C]7.53310390077664[/C][C]0.145383152178962[/C][/ROW]
[ROW][C]0.55[/C][C]7.56318486854035[/C][C]0.142439765584292[/C][/ROW]
[ROW][C]0.56[/C][C]7.59277403462526[/C][C]0.139325336955042[/C][/ROW]
[ROW][C]0.57[/C][C]7.62191527066527[/C][C]0.136580419888206[/C][/ROW]
[ROW][C]0.58[/C][C]7.65075315149245[/C][C]0.134752222969842[/C][/ROW]
[ROW][C]0.59[/C][C]7.6795157953535[/C][C]0.134252303192946[/C][/ROW]
[ROW][C]0.6[/C][C]7.70848048847841[/C][C]0.135285080008358[/C][/ROW]
[ROW][C]0.61[/C][C]7.73792575862164[/C][C]0.137739301171915[/C][/ROW]
[ROW][C]0.62[/C][C]7.76807710224523[/C][C]0.141214022982364[/C][/ROW]
[ROW][C]0.63[/C][C]7.79905627956212[/C][C]0.145034119206139[/C][/ROW]
[ROW][C]0.64[/C][C]7.83084500888004[/C][C]0.148380397455694[/C][/ROW]
[ROW][C]0.65[/C][C]7.86327234544787[/C][C]0.150463993421921[/C][/ROW]
[ROW][C]0.66[/C][C]7.89603096163742[/C][C]0.150653591444841[/C][/ROW]
[ROW][C]0.67[/C][C]7.92872166635193[/C][C]0.14860476651058[/C][/ROW]
[ROW][C]0.68[/C][C]7.96091919194185[/C][C]0.144347392079217[/C][/ROW]
[ROW][C]0.69[/C][C]7.99224721629861[/C][C]0.138281611068962[/C][/ROW]
[ROW][C]0.7[/C][C]8.02244821604157[/C][C]0.131114647240826[/C][/ROW]
[ROW][C]0.71[/C][C]8.05143473497764[/C][C]0.123768101059918[/C][/ROW]
[ROW][C]0.72[/C][C]8.07931260479544[/C][C]0.117211886913206[/C][/ROW]
[ROW][C]0.73[/C][C]8.10637222223156[/C][C]0.112289125956158[/C][/ROW]
[ROW][C]0.74[/C][C]8.13304942482242[/C][C]0.109584197224575[/C][/ROW]
[ROW][C]0.75[/C][C]8.15986150445016[/C][C]0.109333678545241[/C][/ROW]
[ROW][C]0.76[/C][C]8.18732627017476[/C][C]0.111325690283648[/C][/ROW]
[ROW][C]0.77[/C][C]8.21587386088015[/C][C]0.114956277309082[/C][/ROW]
[ROW][C]0.78[/C][C]8.24576371472095[/C][C]0.119304174286006[/C][/ROW]
[ROW][C]0.79[/C][C]8.2770232418372[/C][C]0.123250692387478[/C][/ROW]
[ROW][C]0.8[/C][C]8.30942845224685[/C][C]0.125671478744987[/C][/ROW]
[ROW][C]0.81[/C][C]8.34254552283561[/C][C]0.125713743375751[/C][/ROW]
[ROW][C]0.82[/C][C]8.37584058672783[/C][C]0.123086229052813[/C][/ROW]
[ROW][C]0.83[/C][C]8.40884048076755[/C][C]0.118220885418143[/C][/ROW]
[ROW][C]0.84[/C][C]8.44129530773089[/C][C]0.112289707930116[/C][/ROW]
[ROW][C]0.85[/C][C]8.47327049127763[/C][C]0.106889807539663[/C][/ROW]
[ROW][C]0.86[/C][C]8.50510381472541[/C][C]0.103348578195708[/C][/ROW]
[ROW][C]0.87[/C][C]8.53721621377813[/C][C]0.101865654443877[/C][/ROW]
[ROW][C]0.88[/C][C]8.5698506284216[/C][C]0.101227975442562[/C][/ROW]
[ROW][C]0.89[/C][C]8.6028799936904[/C][C]0.0994185263916886[/C][/ROW]
[ROW][C]0.9[/C][C]8.63580674918006[/C][C]0.0949423595930662[/C][/ROW]
[ROW][C]0.91[/C][C]8.667952454296[/C][C]0.0876929540047504[/C][/ROW]
[ROW][C]0.92[/C][C]8.69870203348192[/C][C]0.0788032506502143[/C][/ROW]
[ROW][C]0.93[/C][C]8.72771405328813[/C][C]0.0694439489693142[/C][/ROW]
[ROW][C]0.94[/C][C]8.75532576550344[/C][C]0.060285618301339[/C][/ROW]
[ROW][C]0.95[/C][C]8.78359758328306[/C][C]0.0538166281937058[/C][/ROW]
[ROW][C]0.96[/C][C]8.81755391254394[/C][C]0.0588689048399184[/C][/ROW]
[ROW][C]0.97[/C][C]8.86363487076838[/C][C]0.0807915047887988[/C][/ROW]
[ROW][C]0.98[/C][C]8.92151379661867[/C][C]0.0959996211770066[/C][/ROW]
[ROW][C]0.99[/C][C]8.97460503557603[/C][C]0.0633493723303896[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276855&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276855&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
0.016.048641748719130.0909423886751834
0.026.115247684935460.0788179064725683
0.036.17293487233690.0713210148269925
0.046.220446797488540.0781063562873861
0.056.264328429675710.0911468335396719
0.066.308036119707690.0994223091817898
0.076.351241670641890.100595020493357
0.086.392474499299990.098119485643769
0.096.430997185695210.0960261990669141
0.16.467106339152440.0961851401425473
0.116.501613626997040.09846621951473
0.126.535299782868660.101945046977861
0.136.568639636466730.105585753815969
0.146.601754428989570.108439331649164
0.156.634473352744690.109742210133581
0.166.666433708287460.109001776431458
0.176.697193964596220.10614184236282
0.186.726344613776020.101516365977341
0.196.753596918929740.0957981403772406
0.26.778830754706720.0897776928733233
0.216.802094949438410.08413125245986
0.226.823569593214610.0792871617580969
0.236.843510199139010.0753883378334693
0.246.862194072189080.0724000129033138
0.256.879882003187750.0701980371976176
0.266.896799109265040.0686475221241206
0.276.913132012181860.0676269586857243
0.286.929037011681710.0670665366749345
0.296.944654081943170.0669483397668556
0.36.96012228637480.0673357458968014
0.316.975592537369590.0683612138473407
0.326.991233923070610.0702018052372394
0.337.007231028514470.0729612113573039
0.347.023772161438040.0766445543664714
0.357.041031475254510.0811121598154818
0.367.059150339358790.0861158808875596
0.377.078223811211340.0913655316997458
0.387.098296439434950.0966050012215506
0.397.119368550229910.101644669717667
0.47.141410859561880.106406797160338
0.417.164382868069250.110924269748021
0.427.188249683091890.115286127503099
0.437.212992689909750.119633447960531
0.447.23861140585620.124054897129621
0.457.265116241154290.128599000035674
0.467.292514140827070.133195382335856
0.477.320790738375860.137672870972737
0.487.349893455883260.141772011900077
0.497.379719862989310.145200084706842
0.57.410114648158190.147655420521973
0.517.440876983306980.148929412318948
0.527.471778184414650.148915496443218
0.537.502587704453080.147667206946087
0.547.533103900776640.145383152178962
0.557.563184868540350.142439765584292
0.567.592774034625260.139325336955042
0.577.621915270665270.136580419888206
0.587.650753151492450.134752222969842
0.597.67951579535350.134252303192946
0.67.708480488478410.135285080008358
0.617.737925758621640.137739301171915
0.627.768077102245230.141214022982364
0.637.799056279562120.145034119206139
0.647.830845008880040.148380397455694
0.657.863272345447870.150463993421921
0.667.896030961637420.150653591444841
0.677.928721666351930.14860476651058
0.687.960919191941850.144347392079217
0.697.992247216298610.138281611068962
0.78.022448216041570.131114647240826
0.718.051434734977640.123768101059918
0.728.079312604795440.117211886913206
0.738.106372222231560.112289125956158
0.748.133049424822420.109584197224575
0.758.159861504450160.109333678545241
0.768.187326270174760.111325690283648
0.778.215873860880150.114956277309082
0.788.245763714720950.119304174286006
0.798.27702324183720.123250692387478
0.88.309428452246850.125671478744987
0.818.342545522835610.125713743375751
0.828.375840586727830.123086229052813
0.838.408840480767550.118220885418143
0.848.441295307730890.112289707930116
0.858.473270491277630.106889807539663
0.868.505103814725410.103348578195708
0.878.537216213778130.101865654443877
0.888.56985062842160.101227975442562
0.898.60287999369040.0994185263916886
0.98.635806749180060.0949423595930662
0.918.6679524542960.0876929540047504
0.928.698702033481920.0788032506502143
0.938.727714053288130.0694439489693142
0.948.755325765503440.060285618301339
0.958.783597583283060.0538166281937058
0.968.817553912543940.0588689048399184
0.978.863634870768380.0807915047887988
0.988.921513796618670.0959996211770066
0.998.974605035576030.0633493723303896


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')