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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 computationWed, 12 Oct 2011 07:26:22 -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/2011/Oct/12/t1318418812nq7f0qo6b4i84ve.htm/, Retrieved Fri, 10 May 2024 21:13:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128316, Retrieved Fri, 10 May 2024 21:13:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Gemiddelde consum...] [2011-10-12 11:26:22] [ba82c27af75bb26243060ecfbd0283aa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.22
6.19
6.22
6.21
6.21
6.18
6.16
6.18
6.2
6.21
6.18
6.2
6.22
6.27
6.19
6.2
6.28
6.25
6.38
6.36
6.44
6.41
6.38
6.39
6.37
6.33
6.32
6.32
6.3
6.32
6.34
6.38
6.32
6.3
6.32
6.37
6.38
6.38
6.3
6.33
6.26
6.26
6.22
6.21
6.14
6.15
6.17
6.16
6.17
6.18
6.19
6.24
6.28
6.32
6.36
6.39
6.39
6.4
6.4
6.37
6.4
6.39
6.39
6.39
6.39
6.33
6.41
6.45
6.43
6.56
6.57
6.58
6.19
6.31
6.35
6.38
6.38
6.36
6.34
6.49
6.5
6.5
6.55
6.57
6.65
6.61
6.66
6.73
6.73
6.75
6.75
6.71
6.77
6.83
6.9
6.89
7.14
7.35
7.43
7.42
7.41
7.46
7.47
7.45
7.47
7.44
7.43
7.43
7.44
7.49
7.48
7.43
7.33
7.42
7.98
7.41
7.25
7.04
6.98
6.94
6.9
6.92
6.86
6.86
6.89
6.91
6.9
6.88
6.78
6.79
6.81
6.78

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128316&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128316&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.147560382855510.00911613021428199
0.026.156848820586570.00836760726448741
0.036.164193071478730.00825707338740779
0.046.170123014693830.00809045230227391
0.056.175097097144330.00749262341439443
0.066.179305765479370.00704110780943282
0.076.183014770285890.00711157433045828
0.086.186516945778290.00758938800894845
0.096.190012630210570.00823316566295888
0.16.193594329258960.00893430102078381
0.116.197293051908760.00964529070449708
0.126.201126345501270.0103987355499874
0.136.205135415870720.0113517244306718
0.146.209411291680530.012735834188365
0.156.214099458430820.0147343472380795
0.166.219373623310850.0173695987992973
0.176.225385316795270.0204445020961471
0.186.232210463135750.0235806650484806
0.196.239815613952290.0263900071853315
0.26.248055998709190.028512055072618
0.216.256702755062610.0297370009148953
0.226.265486088327640.0300159467777258
0.236.274139032168970.0294093352416162
0.246.282431635253880.028091613057411
0.256.29019276701820.0262461528271752
0.266.297321542669990.0241302587333422
0.276.30379099998380.0219976008552451
0.286.309644758593420.0201105958720788
0.296.314985770613210.0186811317713438
0.36.319956696583840.0178498960827811
0.316.324713754069330.0176228437867611
0.326.32939857605760.0178903835373776
0.336.33411403062390.0184490875774321
0.346.33890926849740.0190289195041234
0.356.343776772606820.0194180965460327
0.366.348660949866110.019455987961815
0.376.353475046482510.0190659465465778
0.386.358121709419920.0182587288226045
0.396.362512560228860.0171089798699055
0.46.366583361183560.0157324821303793
0.416.370303145128080.0143005505115319
0.426.373677471524580.0129445380255731
0.436.376747350376810.0118241896747996
0.446.379586114064730.0110563102290539
0.456.382296521671220.0107630294956982
0.466.385009670518680.011079412370537
0.476.387886024218910.0121305436194448
0.486.391117375682070.0140743889144167
0.496.394927316613580.0170191171015451
0.56.399567269519290.02108258917108
0.516.40530568924490.0262702891033989
0.526.412409692266940.032508893470039
0.536.421120780920750.0396354876733137
0.546.431628800357940.0473516146188491
0.556.444049883338750.0553027545629185
0.566.458414035886610.0631024453445017
0.576.474665763106830.0704071340178088
0.586.492677114825230.0769506938017665
0.596.512268097371530.0825996148817879
0.66.533226539248520.0872886034163004
0.616.555319981634510.0909917880241108
0.626.578296458409520.0936479434984984
0.636.601877623263640.0951377044080969
0.646.625753392142410.0953036720337081
0.656.649588679401660.0940295869075626
0.666.67304822051420.0913480863244869
0.676.695836295416350.0875034096007946
0.686.717738695908240.0829103766687646
0.696.738649785803730.0781221481534192
0.76.758571452134060.0735766645420867
0.716.777582708285240.0695694899017336
0.726.795794129045830.0661053247695279
0.736.813313326870970.0630319494560627
0.746.830250134555130.0602588978227245
0.756.846780084582050.0579729762879705
0.766.86326344478040.0569462465405147
0.776.880389345582810.0585720189625603
0.786.899287637478050.0646364105470905
0.796.921534162066070.0766481447177409
0.86.948979366812670.094940520254595
0.816.983367444697020.118144431269466
0.827.025788619219390.143039339651386
0.837.076106725462580.164931560818834
0.847.132585228448840.178621540479131
0.857.191935940436820.180031289984275
0.867.249893157659190.167693831561958
0.877.302195154302480.143559699503346
0.887.345640438419340.112447863852965
0.897.378814599859110.0804080018486494
0.97.402223125820310.0527005689558552
0.917.41784500154970.0323995667569409
0.927.428365525148410.0201845626535752
0.937.436406385047590.0149259832972941
0.947.44395464548790.0140793517878629
0.957.452108967798380.0145404618562975
0.967.461770741307070.0145776009352131
0.977.479232066094580.0193830745581253
0.987.539782780842730.0683403890815942
0.997.729234156129570.246556948166046

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.14756038285551 & 0.00911613021428199 \tabularnewline
0.02 & 6.15684882058657 & 0.00836760726448741 \tabularnewline
0.03 & 6.16419307147873 & 0.00825707338740779 \tabularnewline
0.04 & 6.17012301469383 & 0.00809045230227391 \tabularnewline
0.05 & 6.17509709714433 & 0.00749262341439443 \tabularnewline
0.06 & 6.17930576547937 & 0.00704110780943282 \tabularnewline
0.07 & 6.18301477028589 & 0.00711157433045828 \tabularnewline
0.08 & 6.18651694577829 & 0.00758938800894845 \tabularnewline
0.09 & 6.19001263021057 & 0.00823316566295888 \tabularnewline
0.1 & 6.19359432925896 & 0.00893430102078381 \tabularnewline
0.11 & 6.19729305190876 & 0.00964529070449708 \tabularnewline
0.12 & 6.20112634550127 & 0.0103987355499874 \tabularnewline
0.13 & 6.20513541587072 & 0.0113517244306718 \tabularnewline
0.14 & 6.20941129168053 & 0.012735834188365 \tabularnewline
0.15 & 6.21409945843082 & 0.0147343472380795 \tabularnewline
0.16 & 6.21937362331085 & 0.0173695987992973 \tabularnewline
0.17 & 6.22538531679527 & 0.0204445020961471 \tabularnewline
0.18 & 6.23221046313575 & 0.0235806650484806 \tabularnewline
0.19 & 6.23981561395229 & 0.0263900071853315 \tabularnewline
0.2 & 6.24805599870919 & 0.028512055072618 \tabularnewline
0.21 & 6.25670275506261 & 0.0297370009148953 \tabularnewline
0.22 & 6.26548608832764 & 0.0300159467777258 \tabularnewline
0.23 & 6.27413903216897 & 0.0294093352416162 \tabularnewline
0.24 & 6.28243163525388 & 0.028091613057411 \tabularnewline
0.25 & 6.2901927670182 & 0.0262461528271752 \tabularnewline
0.26 & 6.29732154266999 & 0.0241302587333422 \tabularnewline
0.27 & 6.3037909999838 & 0.0219976008552451 \tabularnewline
0.28 & 6.30964475859342 & 0.0201105958720788 \tabularnewline
0.29 & 6.31498577061321 & 0.0186811317713438 \tabularnewline
0.3 & 6.31995669658384 & 0.0178498960827811 \tabularnewline
0.31 & 6.32471375406933 & 0.0176228437867611 \tabularnewline
0.32 & 6.3293985760576 & 0.0178903835373776 \tabularnewline
0.33 & 6.3341140306239 & 0.0184490875774321 \tabularnewline
0.34 & 6.3389092684974 & 0.0190289195041234 \tabularnewline
0.35 & 6.34377677260682 & 0.0194180965460327 \tabularnewline
0.36 & 6.34866094986611 & 0.019455987961815 \tabularnewline
0.37 & 6.35347504648251 & 0.0190659465465778 \tabularnewline
0.38 & 6.35812170941992 & 0.0182587288226045 \tabularnewline
0.39 & 6.36251256022886 & 0.0171089798699055 \tabularnewline
0.4 & 6.36658336118356 & 0.0157324821303793 \tabularnewline
0.41 & 6.37030314512808 & 0.0143005505115319 \tabularnewline
0.42 & 6.37367747152458 & 0.0129445380255731 \tabularnewline
0.43 & 6.37674735037681 & 0.0118241896747996 \tabularnewline
0.44 & 6.37958611406473 & 0.0110563102290539 \tabularnewline
0.45 & 6.38229652167122 & 0.0107630294956982 \tabularnewline
0.46 & 6.38500967051868 & 0.011079412370537 \tabularnewline
0.47 & 6.38788602421891 & 0.0121305436194448 \tabularnewline
0.48 & 6.39111737568207 & 0.0140743889144167 \tabularnewline
0.49 & 6.39492731661358 & 0.0170191171015451 \tabularnewline
0.5 & 6.39956726951929 & 0.02108258917108 \tabularnewline
0.51 & 6.4053056892449 & 0.0262702891033989 \tabularnewline
0.52 & 6.41240969226694 & 0.032508893470039 \tabularnewline
0.53 & 6.42112078092075 & 0.0396354876733137 \tabularnewline
0.54 & 6.43162880035794 & 0.0473516146188491 \tabularnewline
0.55 & 6.44404988333875 & 0.0553027545629185 \tabularnewline
0.56 & 6.45841403588661 & 0.0631024453445017 \tabularnewline
0.57 & 6.47466576310683 & 0.0704071340178088 \tabularnewline
0.58 & 6.49267711482523 & 0.0769506938017665 \tabularnewline
0.59 & 6.51226809737153 & 0.0825996148817879 \tabularnewline
0.6 & 6.53322653924852 & 0.0872886034163004 \tabularnewline
0.61 & 6.55531998163451 & 0.0909917880241108 \tabularnewline
0.62 & 6.57829645840952 & 0.0936479434984984 \tabularnewline
0.63 & 6.60187762326364 & 0.0951377044080969 \tabularnewline
0.64 & 6.62575339214241 & 0.0953036720337081 \tabularnewline
0.65 & 6.64958867940166 & 0.0940295869075626 \tabularnewline
0.66 & 6.6730482205142 & 0.0913480863244869 \tabularnewline
0.67 & 6.69583629541635 & 0.0875034096007946 \tabularnewline
0.68 & 6.71773869590824 & 0.0829103766687646 \tabularnewline
0.69 & 6.73864978580373 & 0.0781221481534192 \tabularnewline
0.7 & 6.75857145213406 & 0.0735766645420867 \tabularnewline
0.71 & 6.77758270828524 & 0.0695694899017336 \tabularnewline
0.72 & 6.79579412904583 & 0.0661053247695279 \tabularnewline
0.73 & 6.81331332687097 & 0.0630319494560627 \tabularnewline
0.74 & 6.83025013455513 & 0.0602588978227245 \tabularnewline
0.75 & 6.84678008458205 & 0.0579729762879705 \tabularnewline
0.76 & 6.8632634447804 & 0.0569462465405147 \tabularnewline
0.77 & 6.88038934558281 & 0.0585720189625603 \tabularnewline
0.78 & 6.89928763747805 & 0.0646364105470905 \tabularnewline
0.79 & 6.92153416206607 & 0.0766481447177409 \tabularnewline
0.8 & 6.94897936681267 & 0.094940520254595 \tabularnewline
0.81 & 6.98336744469702 & 0.118144431269466 \tabularnewline
0.82 & 7.02578861921939 & 0.143039339651386 \tabularnewline
0.83 & 7.07610672546258 & 0.164931560818834 \tabularnewline
0.84 & 7.13258522844884 & 0.178621540479131 \tabularnewline
0.85 & 7.19193594043682 & 0.180031289984275 \tabularnewline
0.86 & 7.24989315765919 & 0.167693831561958 \tabularnewline
0.87 & 7.30219515430248 & 0.143559699503346 \tabularnewline
0.88 & 7.34564043841934 & 0.112447863852965 \tabularnewline
0.89 & 7.37881459985911 & 0.0804080018486494 \tabularnewline
0.9 & 7.40222312582031 & 0.0527005689558552 \tabularnewline
0.91 & 7.4178450015497 & 0.0323995667569409 \tabularnewline
0.92 & 7.42836552514841 & 0.0201845626535752 \tabularnewline
0.93 & 7.43640638504759 & 0.0149259832972941 \tabularnewline
0.94 & 7.4439546454879 & 0.0140793517878629 \tabularnewline
0.95 & 7.45210896779838 & 0.0145404618562975 \tabularnewline
0.96 & 7.46177074130707 & 0.0145776009352131 \tabularnewline
0.97 & 7.47923206609458 & 0.0193830745581253 \tabularnewline
0.98 & 7.53978278084273 & 0.0683403890815942 \tabularnewline
0.99 & 7.72923415612957 & 0.246556948166046 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128316&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]6.14756038285551[/C][C]0.00911613021428199[/C][/ROW]
[ROW][C]0.02[/C][C]6.15684882058657[/C][C]0.00836760726448741[/C][/ROW]
[ROW][C]0.03[/C][C]6.16419307147873[/C][C]0.00825707338740779[/C][/ROW]
[ROW][C]0.04[/C][C]6.17012301469383[/C][C]0.00809045230227391[/C][/ROW]
[ROW][C]0.05[/C][C]6.17509709714433[/C][C]0.00749262341439443[/C][/ROW]
[ROW][C]0.06[/C][C]6.17930576547937[/C][C]0.00704110780943282[/C][/ROW]
[ROW][C]0.07[/C][C]6.18301477028589[/C][C]0.00711157433045828[/C][/ROW]
[ROW][C]0.08[/C][C]6.18651694577829[/C][C]0.00758938800894845[/C][/ROW]
[ROW][C]0.09[/C][C]6.19001263021057[/C][C]0.00823316566295888[/C][/ROW]
[ROW][C]0.1[/C][C]6.19359432925896[/C][C]0.00893430102078381[/C][/ROW]
[ROW][C]0.11[/C][C]6.19729305190876[/C][C]0.00964529070449708[/C][/ROW]
[ROW][C]0.12[/C][C]6.20112634550127[/C][C]0.0103987355499874[/C][/ROW]
[ROW][C]0.13[/C][C]6.20513541587072[/C][C]0.0113517244306718[/C][/ROW]
[ROW][C]0.14[/C][C]6.20941129168053[/C][C]0.012735834188365[/C][/ROW]
[ROW][C]0.15[/C][C]6.21409945843082[/C][C]0.0147343472380795[/C][/ROW]
[ROW][C]0.16[/C][C]6.21937362331085[/C][C]0.0173695987992973[/C][/ROW]
[ROW][C]0.17[/C][C]6.22538531679527[/C][C]0.0204445020961471[/C][/ROW]
[ROW][C]0.18[/C][C]6.23221046313575[/C][C]0.0235806650484806[/C][/ROW]
[ROW][C]0.19[/C][C]6.23981561395229[/C][C]0.0263900071853315[/C][/ROW]
[ROW][C]0.2[/C][C]6.24805599870919[/C][C]0.028512055072618[/C][/ROW]
[ROW][C]0.21[/C][C]6.25670275506261[/C][C]0.0297370009148953[/C][/ROW]
[ROW][C]0.22[/C][C]6.26548608832764[/C][C]0.0300159467777258[/C][/ROW]
[ROW][C]0.23[/C][C]6.27413903216897[/C][C]0.0294093352416162[/C][/ROW]
[ROW][C]0.24[/C][C]6.28243163525388[/C][C]0.028091613057411[/C][/ROW]
[ROW][C]0.25[/C][C]6.2901927670182[/C][C]0.0262461528271752[/C][/ROW]
[ROW][C]0.26[/C][C]6.29732154266999[/C][C]0.0241302587333422[/C][/ROW]
[ROW][C]0.27[/C][C]6.3037909999838[/C][C]0.0219976008552451[/C][/ROW]
[ROW][C]0.28[/C][C]6.30964475859342[/C][C]0.0201105958720788[/C][/ROW]
[ROW][C]0.29[/C][C]6.31498577061321[/C][C]0.0186811317713438[/C][/ROW]
[ROW][C]0.3[/C][C]6.31995669658384[/C][C]0.0178498960827811[/C][/ROW]
[ROW][C]0.31[/C][C]6.32471375406933[/C][C]0.0176228437867611[/C][/ROW]
[ROW][C]0.32[/C][C]6.3293985760576[/C][C]0.0178903835373776[/C][/ROW]
[ROW][C]0.33[/C][C]6.3341140306239[/C][C]0.0184490875774321[/C][/ROW]
[ROW][C]0.34[/C][C]6.3389092684974[/C][C]0.0190289195041234[/C][/ROW]
[ROW][C]0.35[/C][C]6.34377677260682[/C][C]0.0194180965460327[/C][/ROW]
[ROW][C]0.36[/C][C]6.34866094986611[/C][C]0.019455987961815[/C][/ROW]
[ROW][C]0.37[/C][C]6.35347504648251[/C][C]0.0190659465465778[/C][/ROW]
[ROW][C]0.38[/C][C]6.35812170941992[/C][C]0.0182587288226045[/C][/ROW]
[ROW][C]0.39[/C][C]6.36251256022886[/C][C]0.0171089798699055[/C][/ROW]
[ROW][C]0.4[/C][C]6.36658336118356[/C][C]0.0157324821303793[/C][/ROW]
[ROW][C]0.41[/C][C]6.37030314512808[/C][C]0.0143005505115319[/C][/ROW]
[ROW][C]0.42[/C][C]6.37367747152458[/C][C]0.0129445380255731[/C][/ROW]
[ROW][C]0.43[/C][C]6.37674735037681[/C][C]0.0118241896747996[/C][/ROW]
[ROW][C]0.44[/C][C]6.37958611406473[/C][C]0.0110563102290539[/C][/ROW]
[ROW][C]0.45[/C][C]6.38229652167122[/C][C]0.0107630294956982[/C][/ROW]
[ROW][C]0.46[/C][C]6.38500967051868[/C][C]0.011079412370537[/C][/ROW]
[ROW][C]0.47[/C][C]6.38788602421891[/C][C]0.0121305436194448[/C][/ROW]
[ROW][C]0.48[/C][C]6.39111737568207[/C][C]0.0140743889144167[/C][/ROW]
[ROW][C]0.49[/C][C]6.39492731661358[/C][C]0.0170191171015451[/C][/ROW]
[ROW][C]0.5[/C][C]6.39956726951929[/C][C]0.02108258917108[/C][/ROW]
[ROW][C]0.51[/C][C]6.4053056892449[/C][C]0.0262702891033989[/C][/ROW]
[ROW][C]0.52[/C][C]6.41240969226694[/C][C]0.032508893470039[/C][/ROW]
[ROW][C]0.53[/C][C]6.42112078092075[/C][C]0.0396354876733137[/C][/ROW]
[ROW][C]0.54[/C][C]6.43162880035794[/C][C]0.0473516146188491[/C][/ROW]
[ROW][C]0.55[/C][C]6.44404988333875[/C][C]0.0553027545629185[/C][/ROW]
[ROW][C]0.56[/C][C]6.45841403588661[/C][C]0.0631024453445017[/C][/ROW]
[ROW][C]0.57[/C][C]6.47466576310683[/C][C]0.0704071340178088[/C][/ROW]
[ROW][C]0.58[/C][C]6.49267711482523[/C][C]0.0769506938017665[/C][/ROW]
[ROW][C]0.59[/C][C]6.51226809737153[/C][C]0.0825996148817879[/C][/ROW]
[ROW][C]0.6[/C][C]6.53322653924852[/C][C]0.0872886034163004[/C][/ROW]
[ROW][C]0.61[/C][C]6.55531998163451[/C][C]0.0909917880241108[/C][/ROW]
[ROW][C]0.62[/C][C]6.57829645840952[/C][C]0.0936479434984984[/C][/ROW]
[ROW][C]0.63[/C][C]6.60187762326364[/C][C]0.0951377044080969[/C][/ROW]
[ROW][C]0.64[/C][C]6.62575339214241[/C][C]0.0953036720337081[/C][/ROW]
[ROW][C]0.65[/C][C]6.64958867940166[/C][C]0.0940295869075626[/C][/ROW]
[ROW][C]0.66[/C][C]6.6730482205142[/C][C]0.0913480863244869[/C][/ROW]
[ROW][C]0.67[/C][C]6.69583629541635[/C][C]0.0875034096007946[/C][/ROW]
[ROW][C]0.68[/C][C]6.71773869590824[/C][C]0.0829103766687646[/C][/ROW]
[ROW][C]0.69[/C][C]6.73864978580373[/C][C]0.0781221481534192[/C][/ROW]
[ROW][C]0.7[/C][C]6.75857145213406[/C][C]0.0735766645420867[/C][/ROW]
[ROW][C]0.71[/C][C]6.77758270828524[/C][C]0.0695694899017336[/C][/ROW]
[ROW][C]0.72[/C][C]6.79579412904583[/C][C]0.0661053247695279[/C][/ROW]
[ROW][C]0.73[/C][C]6.81331332687097[/C][C]0.0630319494560627[/C][/ROW]
[ROW][C]0.74[/C][C]6.83025013455513[/C][C]0.0602588978227245[/C][/ROW]
[ROW][C]0.75[/C][C]6.84678008458205[/C][C]0.0579729762879705[/C][/ROW]
[ROW][C]0.76[/C][C]6.8632634447804[/C][C]0.0569462465405147[/C][/ROW]
[ROW][C]0.77[/C][C]6.88038934558281[/C][C]0.0585720189625603[/C][/ROW]
[ROW][C]0.78[/C][C]6.89928763747805[/C][C]0.0646364105470905[/C][/ROW]
[ROW][C]0.79[/C][C]6.92153416206607[/C][C]0.0766481447177409[/C][/ROW]
[ROW][C]0.8[/C][C]6.94897936681267[/C][C]0.094940520254595[/C][/ROW]
[ROW][C]0.81[/C][C]6.98336744469702[/C][C]0.118144431269466[/C][/ROW]
[ROW][C]0.82[/C][C]7.02578861921939[/C][C]0.143039339651386[/C][/ROW]
[ROW][C]0.83[/C][C]7.07610672546258[/C][C]0.164931560818834[/C][/ROW]
[ROW][C]0.84[/C][C]7.13258522844884[/C][C]0.178621540479131[/C][/ROW]
[ROW][C]0.85[/C][C]7.19193594043682[/C][C]0.180031289984275[/C][/ROW]
[ROW][C]0.86[/C][C]7.24989315765919[/C][C]0.167693831561958[/C][/ROW]
[ROW][C]0.87[/C][C]7.30219515430248[/C][C]0.143559699503346[/C][/ROW]
[ROW][C]0.88[/C][C]7.34564043841934[/C][C]0.112447863852965[/C][/ROW]
[ROW][C]0.89[/C][C]7.37881459985911[/C][C]0.0804080018486494[/C][/ROW]
[ROW][C]0.9[/C][C]7.40222312582031[/C][C]0.0527005689558552[/C][/ROW]
[ROW][C]0.91[/C][C]7.4178450015497[/C][C]0.0323995667569409[/C][/ROW]
[ROW][C]0.92[/C][C]7.42836552514841[/C][C]0.0201845626535752[/C][/ROW]
[ROW][C]0.93[/C][C]7.43640638504759[/C][C]0.0149259832972941[/C][/ROW]
[ROW][C]0.94[/C][C]7.4439546454879[/C][C]0.0140793517878629[/C][/ROW]
[ROW][C]0.95[/C][C]7.45210896779838[/C][C]0.0145404618562975[/C][/ROW]
[ROW][C]0.96[/C][C]7.46177074130707[/C][C]0.0145776009352131[/C][/ROW]
[ROW][C]0.97[/C][C]7.47923206609458[/C][C]0.0193830745581253[/C][/ROW]
[ROW][C]0.98[/C][C]7.53978278084273[/C][C]0.0683403890815942[/C][/ROW]
[ROW][C]0.99[/C][C]7.72923415612957[/C][C]0.246556948166046[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128316&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
0.016.147560382855510.00911613021428199
0.026.156848820586570.00836760726448741
0.036.164193071478730.00825707338740779
0.046.170123014693830.00809045230227391
0.056.175097097144330.00749262341439443
0.066.179305765479370.00704110780943282
0.076.183014770285890.00711157433045828
0.086.186516945778290.00758938800894845
0.096.190012630210570.00823316566295888
0.16.193594329258960.00893430102078381
0.116.197293051908760.00964529070449708
0.126.201126345501270.0103987355499874
0.136.205135415870720.0113517244306718
0.146.209411291680530.012735834188365
0.156.214099458430820.0147343472380795
0.166.219373623310850.0173695987992973
0.176.225385316795270.0204445020961471
0.186.232210463135750.0235806650484806
0.196.239815613952290.0263900071853315
0.26.248055998709190.028512055072618
0.216.256702755062610.0297370009148953
0.226.265486088327640.0300159467777258
0.236.274139032168970.0294093352416162
0.246.282431635253880.028091613057411
0.256.29019276701820.0262461528271752
0.266.297321542669990.0241302587333422
0.276.30379099998380.0219976008552451
0.286.309644758593420.0201105958720788
0.296.314985770613210.0186811317713438
0.36.319956696583840.0178498960827811
0.316.324713754069330.0176228437867611
0.326.32939857605760.0178903835373776
0.336.33411403062390.0184490875774321
0.346.33890926849740.0190289195041234
0.356.343776772606820.0194180965460327
0.366.348660949866110.019455987961815
0.376.353475046482510.0190659465465778
0.386.358121709419920.0182587288226045
0.396.362512560228860.0171089798699055
0.46.366583361183560.0157324821303793
0.416.370303145128080.0143005505115319
0.426.373677471524580.0129445380255731
0.436.376747350376810.0118241896747996
0.446.379586114064730.0110563102290539
0.456.382296521671220.0107630294956982
0.466.385009670518680.011079412370537
0.476.387886024218910.0121305436194448
0.486.391117375682070.0140743889144167
0.496.394927316613580.0170191171015451
0.56.399567269519290.02108258917108
0.516.40530568924490.0262702891033989
0.526.412409692266940.032508893470039
0.536.421120780920750.0396354876733137
0.546.431628800357940.0473516146188491
0.556.444049883338750.0553027545629185
0.566.458414035886610.0631024453445017
0.576.474665763106830.0704071340178088
0.586.492677114825230.0769506938017665
0.596.512268097371530.0825996148817879
0.66.533226539248520.0872886034163004
0.616.555319981634510.0909917880241108
0.626.578296458409520.0936479434984984
0.636.601877623263640.0951377044080969
0.646.625753392142410.0953036720337081
0.656.649588679401660.0940295869075626
0.666.67304822051420.0913480863244869
0.676.695836295416350.0875034096007946
0.686.717738695908240.0829103766687646
0.696.738649785803730.0781221481534192
0.76.758571452134060.0735766645420867
0.716.777582708285240.0695694899017336
0.726.795794129045830.0661053247695279
0.736.813313326870970.0630319494560627
0.746.830250134555130.0602588978227245
0.756.846780084582050.0579729762879705
0.766.86326344478040.0569462465405147
0.776.880389345582810.0585720189625603
0.786.899287637478050.0646364105470905
0.796.921534162066070.0766481447177409
0.86.948979366812670.094940520254595
0.816.983367444697020.118144431269466
0.827.025788619219390.143039339651386
0.837.076106725462580.164931560818834
0.847.132585228448840.178621540479131
0.857.191935940436820.180031289984275
0.867.249893157659190.167693831561958
0.877.302195154302480.143559699503346
0.887.345640438419340.112447863852965
0.897.378814599859110.0804080018486494
0.97.402223125820310.0527005689558552
0.917.41784500154970.0323995667569409
0.927.428365525148410.0201845626535752
0.937.436406385047590.0149259832972941
0.947.44395464548790.0140793517878629
0.957.452108967798380.0145404618562975
0.967.461770741307070.0145776009352131
0.977.479232066094580.0193830745581253
0.987.539782780842730.0683403890815942
0.997.729234156129570.246556948166046


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')