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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 computationFri, 25 May 2012 10:40:42 -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/2012/May/25/t1337956876jfm30cjl12w1e1y.htm/, Retrieved Fri, 03 May 2024 18:13:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167501, Retrieved Fri, 03 May 2024 18:13:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG20114(1)
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kernel Density Estimation] [dichtheidsgrafiek...] [2012-02-15 13:03:15] [6c12ae1bbd1f05ed2de376c80d275927]
- RMPD    [Harrell-Davis Quantiles] [jens vanpachtenbe...] [2012-05-25 14:40:42] [4080e77d9380e2af46712fd05e0afa1e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.31
2.31
2.32
2.33
2.34
2.36
2.37
2.37
2.38
2.39
2.4
2.4
2.39
2.4
2.42
2.42
2.44
2.44
2.44
2.45
2.46
2.47
2.48
2.48
2.49
2.5
2.51
2.52
2.52
2.52
2.54
2.54
2.54
2.56
2.57
2.58
2.58
2.58
2.58
2.59
2.6
2.61
2.61
2.62
2.63
2.65
2.67
2.68
2.67
2.68
2.68
2.68
2.68
2.69
2.69
2.69
2.7
2.71
2.72
2.71
2.72
2.73
2.74
2.74
2.75
2.75
2.76
2.75
2.78
2.79
2.8
2.81
2.81
2.82
2.82
2.83
2.83
2.84
2.84
2.84
2.86
2.87
2.88
2.88

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167501&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167501&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167501&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.311565835924660.00433065218920193
0.022.315677702764250.00988805901690231
0.032.322183301962290.014519399503659
0.042.330269606587560.017832849326615
0.052.33907433983660.0197843834086704
0.062.347919338745680.020379028677625
0.072.356339507053820.01989698394859
0.082.364078746726380.0188740123415884
0.092.371071560224510.0178286471365648
0.12.377394891201210.0170897729672334
0.112.383203710196630.0167787232559434
0.122.388675670986320.0169158100311759
0.132.393976907381110.0174757920101743
0.142.399245497348770.0183877007645485
0.152.4045842908210.0195434889392807
0.162.410058271577530.0207974912511913
0.172.4156960268780.0220163893021403
0.182.421496099865240.0231055432748324
0.192.427437403001850.0240335566640842
0.22.433490876796320.024819762238568
0.212.439629012791770.0255120854943226
0.222.445831000108740.0261494145839314
0.232.452083230878950.0267583999995085
0.242.458376593819140.027336493159747
0.252.464702716529360.0278603559605291
0.262.471051044132370.0283097150691945
0.272.477407769070930.0286549480199838
0.282.483756667580350.0288914140629036
0.292.490081214489360.0290288986289602
0.32.49636706316570.0290851745605314
0.312.502604033965570.0290872157814844
0.322.508787023644940.0290684204788425
0.332.514915612285630.0290544072201403
0.342.520992521648770.0290480275687365
0.352.527021407693830.0290636404048737
0.362.533004688273670.0290717916274355
0.372.538942153580750.0290519652000289
0.382.544830945020080.028977414041504
0.392.550667133700150.0288458500068255
0.42.556448662600730.0286699662109922
0.412.562178964115880.0284933657590385
0.422.567870262249320.0283831241120339
0.432.573545513208910.0284068692603988
0.442.579238155692790.0286385125387142
0.452.584989281701370.0291238312988811
0.462.590842391999460.0298576566420308
0.472.596836438042110.0308020385813785
0.482.602998260250040.0318615083496669
0.492.609335736194880.0329093830462218
0.52.615832922648880.0338022163608248
0.512.622448223157370.0343904950377763
0.522.629116177187540.0345602659475414
0.532.63575290869270.0342116077562989
0.542.642264670397760.0333205274864254
0.552.648558370561820.0319171795396275
0.562.654552573554040.0300851441993949
0.572.660187314101060.0279609176162012
0.582.665431209391320.0257142619734781
0.592.670284784941930.023528795536453
0.62.674779572770120.0215751497358313
0.612.678973262772920.0199926768165348
0.622.68294183696740.0188741752303925
0.632.686770057455650.01824155937831
0.642.690541834473350.0180570541063297
0.652.694331867019450.0182338113015096
0.662.69819959172310.0186612633020526
0.672.702186006562530.0192186480322762
0.682.706313472029750.0198121805236976
0.692.710588218881330.0203589777320257
0.72.715005036906120.0208124823405612
0.712.71955345097350.0211614300373816
0.722.724224540983160.0214216202172871
0.732.729017375255020.0216429660872229
0.742.733943813062980.0219015310279086
0.752.739030302333320.0222760301072682
0.762.744315446808660.0228316242291767
0.772.749842736760970.0235914874269173
0.782.755648990935760.0245030434590748
0.792.761750554843630.0254490287035775
0.82.76813066865610.0262468615405116
0.812.77473202142270.0266992588855316
0.822.781457815991390.0266371044217895
0.832.788182568278670.0259676473683672
0.842.794770862168150.0246981216147078
0.852.801099448891050.0229398033535862
0.862.807076712164920.0208793466979394
0.872.812654614179330.0187251374620731
0.882.817831950731840.016669767873627
0.892.822652925622930.0148447950907545
0.92.827208902198530.0133385196448269
0.912.831649465029080.0122579070260572
0.922.836197945965760.011785287140736
0.932.841148066162060.0121351311164036
0.942.846804724491580.013271095711921
0.952.85334346591630.0146076904679374
0.962.860610790608280.0151007529826618
0.972.86795807346240.0137044355204677
0.982.874273017599590.00990810433760699
0.992.878406417338080.00441714806204811

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.31156583592466 & 0.00433065218920193 \tabularnewline
0.02 & 2.31567770276425 & 0.00988805901690231 \tabularnewline
0.03 & 2.32218330196229 & 0.014519399503659 \tabularnewline
0.04 & 2.33026960658756 & 0.017832849326615 \tabularnewline
0.05 & 2.3390743398366 & 0.0197843834086704 \tabularnewline
0.06 & 2.34791933874568 & 0.020379028677625 \tabularnewline
0.07 & 2.35633950705382 & 0.01989698394859 \tabularnewline
0.08 & 2.36407874672638 & 0.0188740123415884 \tabularnewline
0.09 & 2.37107156022451 & 0.0178286471365648 \tabularnewline
0.1 & 2.37739489120121 & 0.0170897729672334 \tabularnewline
0.11 & 2.38320371019663 & 0.0167787232559434 \tabularnewline
0.12 & 2.38867567098632 & 0.0169158100311759 \tabularnewline
0.13 & 2.39397690738111 & 0.0174757920101743 \tabularnewline
0.14 & 2.39924549734877 & 0.0183877007645485 \tabularnewline
0.15 & 2.404584290821 & 0.0195434889392807 \tabularnewline
0.16 & 2.41005827157753 & 0.0207974912511913 \tabularnewline
0.17 & 2.415696026878 & 0.0220163893021403 \tabularnewline
0.18 & 2.42149609986524 & 0.0231055432748324 \tabularnewline
0.19 & 2.42743740300185 & 0.0240335566640842 \tabularnewline
0.2 & 2.43349087679632 & 0.024819762238568 \tabularnewline
0.21 & 2.43962901279177 & 0.0255120854943226 \tabularnewline
0.22 & 2.44583100010874 & 0.0261494145839314 \tabularnewline
0.23 & 2.45208323087895 & 0.0267583999995085 \tabularnewline
0.24 & 2.45837659381914 & 0.027336493159747 \tabularnewline
0.25 & 2.46470271652936 & 0.0278603559605291 \tabularnewline
0.26 & 2.47105104413237 & 0.0283097150691945 \tabularnewline
0.27 & 2.47740776907093 & 0.0286549480199838 \tabularnewline
0.28 & 2.48375666758035 & 0.0288914140629036 \tabularnewline
0.29 & 2.49008121448936 & 0.0290288986289602 \tabularnewline
0.3 & 2.4963670631657 & 0.0290851745605314 \tabularnewline
0.31 & 2.50260403396557 & 0.0290872157814844 \tabularnewline
0.32 & 2.50878702364494 & 0.0290684204788425 \tabularnewline
0.33 & 2.51491561228563 & 0.0290544072201403 \tabularnewline
0.34 & 2.52099252164877 & 0.0290480275687365 \tabularnewline
0.35 & 2.52702140769383 & 0.0290636404048737 \tabularnewline
0.36 & 2.53300468827367 & 0.0290717916274355 \tabularnewline
0.37 & 2.53894215358075 & 0.0290519652000289 \tabularnewline
0.38 & 2.54483094502008 & 0.028977414041504 \tabularnewline
0.39 & 2.55066713370015 & 0.0288458500068255 \tabularnewline
0.4 & 2.55644866260073 & 0.0286699662109922 \tabularnewline
0.41 & 2.56217896411588 & 0.0284933657590385 \tabularnewline
0.42 & 2.56787026224932 & 0.0283831241120339 \tabularnewline
0.43 & 2.57354551320891 & 0.0284068692603988 \tabularnewline
0.44 & 2.57923815569279 & 0.0286385125387142 \tabularnewline
0.45 & 2.58498928170137 & 0.0291238312988811 \tabularnewline
0.46 & 2.59084239199946 & 0.0298576566420308 \tabularnewline
0.47 & 2.59683643804211 & 0.0308020385813785 \tabularnewline
0.48 & 2.60299826025004 & 0.0318615083496669 \tabularnewline
0.49 & 2.60933573619488 & 0.0329093830462218 \tabularnewline
0.5 & 2.61583292264888 & 0.0338022163608248 \tabularnewline
0.51 & 2.62244822315737 & 0.0343904950377763 \tabularnewline
0.52 & 2.62911617718754 & 0.0345602659475414 \tabularnewline
0.53 & 2.6357529086927 & 0.0342116077562989 \tabularnewline
0.54 & 2.64226467039776 & 0.0333205274864254 \tabularnewline
0.55 & 2.64855837056182 & 0.0319171795396275 \tabularnewline
0.56 & 2.65455257355404 & 0.0300851441993949 \tabularnewline
0.57 & 2.66018731410106 & 0.0279609176162012 \tabularnewline
0.58 & 2.66543120939132 & 0.0257142619734781 \tabularnewline
0.59 & 2.67028478494193 & 0.023528795536453 \tabularnewline
0.6 & 2.67477957277012 & 0.0215751497358313 \tabularnewline
0.61 & 2.67897326277292 & 0.0199926768165348 \tabularnewline
0.62 & 2.6829418369674 & 0.0188741752303925 \tabularnewline
0.63 & 2.68677005745565 & 0.01824155937831 \tabularnewline
0.64 & 2.69054183447335 & 0.0180570541063297 \tabularnewline
0.65 & 2.69433186701945 & 0.0182338113015096 \tabularnewline
0.66 & 2.6981995917231 & 0.0186612633020526 \tabularnewline
0.67 & 2.70218600656253 & 0.0192186480322762 \tabularnewline
0.68 & 2.70631347202975 & 0.0198121805236976 \tabularnewline
0.69 & 2.71058821888133 & 0.0203589777320257 \tabularnewline
0.7 & 2.71500503690612 & 0.0208124823405612 \tabularnewline
0.71 & 2.7195534509735 & 0.0211614300373816 \tabularnewline
0.72 & 2.72422454098316 & 0.0214216202172871 \tabularnewline
0.73 & 2.72901737525502 & 0.0216429660872229 \tabularnewline
0.74 & 2.73394381306298 & 0.0219015310279086 \tabularnewline
0.75 & 2.73903030233332 & 0.0222760301072682 \tabularnewline
0.76 & 2.74431544680866 & 0.0228316242291767 \tabularnewline
0.77 & 2.74984273676097 & 0.0235914874269173 \tabularnewline
0.78 & 2.75564899093576 & 0.0245030434590748 \tabularnewline
0.79 & 2.76175055484363 & 0.0254490287035775 \tabularnewline
0.8 & 2.7681306686561 & 0.0262468615405116 \tabularnewline
0.81 & 2.7747320214227 & 0.0266992588855316 \tabularnewline
0.82 & 2.78145781599139 & 0.0266371044217895 \tabularnewline
0.83 & 2.78818256827867 & 0.0259676473683672 \tabularnewline
0.84 & 2.79477086216815 & 0.0246981216147078 \tabularnewline
0.85 & 2.80109944889105 & 0.0229398033535862 \tabularnewline
0.86 & 2.80707671216492 & 0.0208793466979394 \tabularnewline
0.87 & 2.81265461417933 & 0.0187251374620731 \tabularnewline
0.88 & 2.81783195073184 & 0.016669767873627 \tabularnewline
0.89 & 2.82265292562293 & 0.0148447950907545 \tabularnewline
0.9 & 2.82720890219853 & 0.0133385196448269 \tabularnewline
0.91 & 2.83164946502908 & 0.0122579070260572 \tabularnewline
0.92 & 2.83619794596576 & 0.011785287140736 \tabularnewline
0.93 & 2.84114806616206 & 0.0121351311164036 \tabularnewline
0.94 & 2.84680472449158 & 0.013271095711921 \tabularnewline
0.95 & 2.8533434659163 & 0.0146076904679374 \tabularnewline
0.96 & 2.86061079060828 & 0.0151007529826618 \tabularnewline
0.97 & 2.8679580734624 & 0.0137044355204677 \tabularnewline
0.98 & 2.87427301759959 & 0.00990810433760699 \tabularnewline
0.99 & 2.87840641733808 & 0.00441714806204811 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167501&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]2.31156583592466[/C][C]0.00433065218920193[/C][/ROW]
[ROW][C]0.02[/C][C]2.31567770276425[/C][C]0.00988805901690231[/C][/ROW]
[ROW][C]0.03[/C][C]2.32218330196229[/C][C]0.014519399503659[/C][/ROW]
[ROW][C]0.04[/C][C]2.33026960658756[/C][C]0.017832849326615[/C][/ROW]
[ROW][C]0.05[/C][C]2.3390743398366[/C][C]0.0197843834086704[/C][/ROW]
[ROW][C]0.06[/C][C]2.34791933874568[/C][C]0.020379028677625[/C][/ROW]
[ROW][C]0.07[/C][C]2.35633950705382[/C][C]0.01989698394859[/C][/ROW]
[ROW][C]0.08[/C][C]2.36407874672638[/C][C]0.0188740123415884[/C][/ROW]
[ROW][C]0.09[/C][C]2.37107156022451[/C][C]0.0178286471365648[/C][/ROW]
[ROW][C]0.1[/C][C]2.37739489120121[/C][C]0.0170897729672334[/C][/ROW]
[ROW][C]0.11[/C][C]2.38320371019663[/C][C]0.0167787232559434[/C][/ROW]
[ROW][C]0.12[/C][C]2.38867567098632[/C][C]0.0169158100311759[/C][/ROW]
[ROW][C]0.13[/C][C]2.39397690738111[/C][C]0.0174757920101743[/C][/ROW]
[ROW][C]0.14[/C][C]2.39924549734877[/C][C]0.0183877007645485[/C][/ROW]
[ROW][C]0.15[/C][C]2.404584290821[/C][C]0.0195434889392807[/C][/ROW]
[ROW][C]0.16[/C][C]2.41005827157753[/C][C]0.0207974912511913[/C][/ROW]
[ROW][C]0.17[/C][C]2.415696026878[/C][C]0.0220163893021403[/C][/ROW]
[ROW][C]0.18[/C][C]2.42149609986524[/C][C]0.0231055432748324[/C][/ROW]
[ROW][C]0.19[/C][C]2.42743740300185[/C][C]0.0240335566640842[/C][/ROW]
[ROW][C]0.2[/C][C]2.43349087679632[/C][C]0.024819762238568[/C][/ROW]
[ROW][C]0.21[/C][C]2.43962901279177[/C][C]0.0255120854943226[/C][/ROW]
[ROW][C]0.22[/C][C]2.44583100010874[/C][C]0.0261494145839314[/C][/ROW]
[ROW][C]0.23[/C][C]2.45208323087895[/C][C]0.0267583999995085[/C][/ROW]
[ROW][C]0.24[/C][C]2.45837659381914[/C][C]0.027336493159747[/C][/ROW]
[ROW][C]0.25[/C][C]2.46470271652936[/C][C]0.0278603559605291[/C][/ROW]
[ROW][C]0.26[/C][C]2.47105104413237[/C][C]0.0283097150691945[/C][/ROW]
[ROW][C]0.27[/C][C]2.47740776907093[/C][C]0.0286549480199838[/C][/ROW]
[ROW][C]0.28[/C][C]2.48375666758035[/C][C]0.0288914140629036[/C][/ROW]
[ROW][C]0.29[/C][C]2.49008121448936[/C][C]0.0290288986289602[/C][/ROW]
[ROW][C]0.3[/C][C]2.4963670631657[/C][C]0.0290851745605314[/C][/ROW]
[ROW][C]0.31[/C][C]2.50260403396557[/C][C]0.0290872157814844[/C][/ROW]
[ROW][C]0.32[/C][C]2.50878702364494[/C][C]0.0290684204788425[/C][/ROW]
[ROW][C]0.33[/C][C]2.51491561228563[/C][C]0.0290544072201403[/C][/ROW]
[ROW][C]0.34[/C][C]2.52099252164877[/C][C]0.0290480275687365[/C][/ROW]
[ROW][C]0.35[/C][C]2.52702140769383[/C][C]0.0290636404048737[/C][/ROW]
[ROW][C]0.36[/C][C]2.53300468827367[/C][C]0.0290717916274355[/C][/ROW]
[ROW][C]0.37[/C][C]2.53894215358075[/C][C]0.0290519652000289[/C][/ROW]
[ROW][C]0.38[/C][C]2.54483094502008[/C][C]0.028977414041504[/C][/ROW]
[ROW][C]0.39[/C][C]2.55066713370015[/C][C]0.0288458500068255[/C][/ROW]
[ROW][C]0.4[/C][C]2.55644866260073[/C][C]0.0286699662109922[/C][/ROW]
[ROW][C]0.41[/C][C]2.56217896411588[/C][C]0.0284933657590385[/C][/ROW]
[ROW][C]0.42[/C][C]2.56787026224932[/C][C]0.0283831241120339[/C][/ROW]
[ROW][C]0.43[/C][C]2.57354551320891[/C][C]0.0284068692603988[/C][/ROW]
[ROW][C]0.44[/C][C]2.57923815569279[/C][C]0.0286385125387142[/C][/ROW]
[ROW][C]0.45[/C][C]2.58498928170137[/C][C]0.0291238312988811[/C][/ROW]
[ROW][C]0.46[/C][C]2.59084239199946[/C][C]0.0298576566420308[/C][/ROW]
[ROW][C]0.47[/C][C]2.59683643804211[/C][C]0.0308020385813785[/C][/ROW]
[ROW][C]0.48[/C][C]2.60299826025004[/C][C]0.0318615083496669[/C][/ROW]
[ROW][C]0.49[/C][C]2.60933573619488[/C][C]0.0329093830462218[/C][/ROW]
[ROW][C]0.5[/C][C]2.61583292264888[/C][C]0.0338022163608248[/C][/ROW]
[ROW][C]0.51[/C][C]2.62244822315737[/C][C]0.0343904950377763[/C][/ROW]
[ROW][C]0.52[/C][C]2.62911617718754[/C][C]0.0345602659475414[/C][/ROW]
[ROW][C]0.53[/C][C]2.6357529086927[/C][C]0.0342116077562989[/C][/ROW]
[ROW][C]0.54[/C][C]2.64226467039776[/C][C]0.0333205274864254[/C][/ROW]
[ROW][C]0.55[/C][C]2.64855837056182[/C][C]0.0319171795396275[/C][/ROW]
[ROW][C]0.56[/C][C]2.65455257355404[/C][C]0.0300851441993949[/C][/ROW]
[ROW][C]0.57[/C][C]2.66018731410106[/C][C]0.0279609176162012[/C][/ROW]
[ROW][C]0.58[/C][C]2.66543120939132[/C][C]0.0257142619734781[/C][/ROW]
[ROW][C]0.59[/C][C]2.67028478494193[/C][C]0.023528795536453[/C][/ROW]
[ROW][C]0.6[/C][C]2.67477957277012[/C][C]0.0215751497358313[/C][/ROW]
[ROW][C]0.61[/C][C]2.67897326277292[/C][C]0.0199926768165348[/C][/ROW]
[ROW][C]0.62[/C][C]2.6829418369674[/C][C]0.0188741752303925[/C][/ROW]
[ROW][C]0.63[/C][C]2.68677005745565[/C][C]0.01824155937831[/C][/ROW]
[ROW][C]0.64[/C][C]2.69054183447335[/C][C]0.0180570541063297[/C][/ROW]
[ROW][C]0.65[/C][C]2.69433186701945[/C][C]0.0182338113015096[/C][/ROW]
[ROW][C]0.66[/C][C]2.6981995917231[/C][C]0.0186612633020526[/C][/ROW]
[ROW][C]0.67[/C][C]2.70218600656253[/C][C]0.0192186480322762[/C][/ROW]
[ROW][C]0.68[/C][C]2.70631347202975[/C][C]0.0198121805236976[/C][/ROW]
[ROW][C]0.69[/C][C]2.71058821888133[/C][C]0.0203589777320257[/C][/ROW]
[ROW][C]0.7[/C][C]2.71500503690612[/C][C]0.0208124823405612[/C][/ROW]
[ROW][C]0.71[/C][C]2.7195534509735[/C][C]0.0211614300373816[/C][/ROW]
[ROW][C]0.72[/C][C]2.72422454098316[/C][C]0.0214216202172871[/C][/ROW]
[ROW][C]0.73[/C][C]2.72901737525502[/C][C]0.0216429660872229[/C][/ROW]
[ROW][C]0.74[/C][C]2.73394381306298[/C][C]0.0219015310279086[/C][/ROW]
[ROW][C]0.75[/C][C]2.73903030233332[/C][C]0.0222760301072682[/C][/ROW]
[ROW][C]0.76[/C][C]2.74431544680866[/C][C]0.0228316242291767[/C][/ROW]
[ROW][C]0.77[/C][C]2.74984273676097[/C][C]0.0235914874269173[/C][/ROW]
[ROW][C]0.78[/C][C]2.75564899093576[/C][C]0.0245030434590748[/C][/ROW]
[ROW][C]0.79[/C][C]2.76175055484363[/C][C]0.0254490287035775[/C][/ROW]
[ROW][C]0.8[/C][C]2.7681306686561[/C][C]0.0262468615405116[/C][/ROW]
[ROW][C]0.81[/C][C]2.7747320214227[/C][C]0.0266992588855316[/C][/ROW]
[ROW][C]0.82[/C][C]2.78145781599139[/C][C]0.0266371044217895[/C][/ROW]
[ROW][C]0.83[/C][C]2.78818256827867[/C][C]0.0259676473683672[/C][/ROW]
[ROW][C]0.84[/C][C]2.79477086216815[/C][C]0.0246981216147078[/C][/ROW]
[ROW][C]0.85[/C][C]2.80109944889105[/C][C]0.0229398033535862[/C][/ROW]
[ROW][C]0.86[/C][C]2.80707671216492[/C][C]0.0208793466979394[/C][/ROW]
[ROW][C]0.87[/C][C]2.81265461417933[/C][C]0.0187251374620731[/C][/ROW]
[ROW][C]0.88[/C][C]2.81783195073184[/C][C]0.016669767873627[/C][/ROW]
[ROW][C]0.89[/C][C]2.82265292562293[/C][C]0.0148447950907545[/C][/ROW]
[ROW][C]0.9[/C][C]2.82720890219853[/C][C]0.0133385196448269[/C][/ROW]
[ROW][C]0.91[/C][C]2.83164946502908[/C][C]0.0122579070260572[/C][/ROW]
[ROW][C]0.92[/C][C]2.83619794596576[/C][C]0.011785287140736[/C][/ROW]
[ROW][C]0.93[/C][C]2.84114806616206[/C][C]0.0121351311164036[/C][/ROW]
[ROW][C]0.94[/C][C]2.84680472449158[/C][C]0.013271095711921[/C][/ROW]
[ROW][C]0.95[/C][C]2.8533434659163[/C][C]0.0146076904679374[/C][/ROW]
[ROW][C]0.96[/C][C]2.86061079060828[/C][C]0.0151007529826618[/C][/ROW]
[ROW][C]0.97[/C][C]2.8679580734624[/C][C]0.0137044355204677[/C][/ROW]
[ROW][C]0.98[/C][C]2.87427301759959[/C][C]0.00990810433760699[/C][/ROW]
[ROW][C]0.99[/C][C]2.87840641733808[/C][C]0.00441714806204811[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167501&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167501&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
0.012.311565835924660.00433065218920193
0.022.315677702764250.00988805901690231
0.032.322183301962290.014519399503659
0.042.330269606587560.017832849326615
0.052.33907433983660.0197843834086704
0.062.347919338745680.020379028677625
0.072.356339507053820.01989698394859
0.082.364078746726380.0188740123415884
0.092.371071560224510.0178286471365648
0.12.377394891201210.0170897729672334
0.112.383203710196630.0167787232559434
0.122.388675670986320.0169158100311759
0.132.393976907381110.0174757920101743
0.142.399245497348770.0183877007645485
0.152.4045842908210.0195434889392807
0.162.410058271577530.0207974912511913
0.172.4156960268780.0220163893021403
0.182.421496099865240.0231055432748324
0.192.427437403001850.0240335566640842
0.22.433490876796320.024819762238568
0.212.439629012791770.0255120854943226
0.222.445831000108740.0261494145839314
0.232.452083230878950.0267583999995085
0.242.458376593819140.027336493159747
0.252.464702716529360.0278603559605291
0.262.471051044132370.0283097150691945
0.272.477407769070930.0286549480199838
0.282.483756667580350.0288914140629036
0.292.490081214489360.0290288986289602
0.32.49636706316570.0290851745605314
0.312.502604033965570.0290872157814844
0.322.508787023644940.0290684204788425
0.332.514915612285630.0290544072201403
0.342.520992521648770.0290480275687365
0.352.527021407693830.0290636404048737
0.362.533004688273670.0290717916274355
0.372.538942153580750.0290519652000289
0.382.544830945020080.028977414041504
0.392.550667133700150.0288458500068255
0.42.556448662600730.0286699662109922
0.412.562178964115880.0284933657590385
0.422.567870262249320.0283831241120339
0.432.573545513208910.0284068692603988
0.442.579238155692790.0286385125387142
0.452.584989281701370.0291238312988811
0.462.590842391999460.0298576566420308
0.472.596836438042110.0308020385813785
0.482.602998260250040.0318615083496669
0.492.609335736194880.0329093830462218
0.52.615832922648880.0338022163608248
0.512.622448223157370.0343904950377763
0.522.629116177187540.0345602659475414
0.532.63575290869270.0342116077562989
0.542.642264670397760.0333205274864254
0.552.648558370561820.0319171795396275
0.562.654552573554040.0300851441993949
0.572.660187314101060.0279609176162012
0.582.665431209391320.0257142619734781
0.592.670284784941930.023528795536453
0.62.674779572770120.0215751497358313
0.612.678973262772920.0199926768165348
0.622.68294183696740.0188741752303925
0.632.686770057455650.01824155937831
0.642.690541834473350.0180570541063297
0.652.694331867019450.0182338113015096
0.662.69819959172310.0186612633020526
0.672.702186006562530.0192186480322762
0.682.706313472029750.0198121805236976
0.692.710588218881330.0203589777320257
0.72.715005036906120.0208124823405612
0.712.71955345097350.0211614300373816
0.722.724224540983160.0214216202172871
0.732.729017375255020.0216429660872229
0.742.733943813062980.0219015310279086
0.752.739030302333320.0222760301072682
0.762.744315446808660.0228316242291767
0.772.749842736760970.0235914874269173
0.782.755648990935760.0245030434590748
0.792.761750554843630.0254490287035775
0.82.76813066865610.0262468615405116
0.812.77473202142270.0266992588855316
0.822.781457815991390.0266371044217895
0.832.788182568278670.0259676473683672
0.842.794770862168150.0246981216147078
0.852.801099448891050.0229398033535862
0.862.807076712164920.0208793466979394
0.872.812654614179330.0187251374620731
0.882.817831950731840.016669767873627
0.892.822652925622930.0148447950907545
0.92.827208902198530.0133385196448269
0.912.831649465029080.0122579070260572
0.922.836197945965760.011785287140736
0.932.841148066162060.0121351311164036
0.942.846804724491580.013271095711921
0.952.85334346591630.0146076904679374
0.962.860610790608280.0151007529826618
0.972.86795807346240.0137044355204677
0.982.874273017599590.00990810433760699
0.992.878406417338080.00441714806204811


Figures (Output of Computation)

Input Parameters & R Code

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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')