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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 computationTue, 21 Feb 2012 17:46:39 -0500
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/Feb/21/t1329864450j5dfqwon3sjl7mt.htm/, Retrieved Fri, 03 May 2024 22:48:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162982, Retrieved Fri, 03 May 2024 22:48:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact81

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] [] [2012-02-21 22:46:39] [f07e76401259632505cd233a7687c846] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.24
9.29
9.39
9.42
9.42
9.43
9.5
9.53
9.58
9.58
9.6
9.61
9.65
9.71
9.78
9.79
9.84
9.87
9.9
9.95
9.96
9.98
10.01
10
10.03
10.05
10.06
10.09
10.24
10.23
10.27
10.28
10.29
10.44
10.51
10.52
10.57
10.62
10.71
10.73
10.74
10.75
10.79
10.81
10.87
10.92
10.95
10.94
10.97
10.99
11.04
11.09
11.12
11.11
11.14
11.2
11.25
11.3
11.31
11.31

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=162982&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=162982&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162982&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
0.019.256404080380530.056178497405258
0.029.283566641481720.0652131432867701
0.039.315332786571410.0687966120753632
0.049.346541933633450.0653688304484037
0.059.374486195821240.0588127950992012
0.069.3986132210950.0538766385320849
0.079.419658933052010.053110518354996
0.089.438810594173660.0560585905674478
0.099.457134527277760.0607508949464942
0.19.475313059394490.0653699472917647
0.119.493628074173840.0689394456918129
0.129.512083710379330.0712359521122514
0.139.530566992554950.0726406627689804
0.149.548979058717220.0738257108117754
0.159.567307886428740.0755101153631494
0.169.585642569306070.0782097227759832
0.179.604145470385070.0820983018341349
0.189.623003728868030.0869853111523155
0.199.642379334475930.0924703173300274
0.29.662370988015580.0980228384235474
0.219.682994078705950.1031138309715
0.229.704179159379460.107344233643914
0.239.725785216788820.110418033631131
0.249.747622038925490.112208829526273
0.259.769475810296640.11272114306665
0.269.791133174359670.11204437123688
0.279.81240074907520.110343095522547
0.289.833118883289870.107858279696663
0.299.853169877170720.104814209810587
0.39.872481747254960.101431256586233
0.319.891028883242110.0979572315060913
0.329.908830753431480.0946369716187978
0.339.925949376258520.0916999059463191
0.349.942485797344890.0893814098223719
0.359.958575457021590.0878963582144533
0.369.974382190370090.0874428528289101
0.379.990090682333590.0881633600326123
0.3810.00589745496570.0901285402056011
0.3910.0220008047260.0933000633820562
0.410.03859043348210.0976099587391343
0.4110.0558377344890.102860910966751
0.4210.07388773736020.108829593953921
0.4310.09285355622990.115253325921812
0.4410.11281384073490.121906765098961
0.4510.13381326165960.128585226849296
0.4610.15586556656070.135097454228796
0.4710.17895832319240.14134634244505
0.4810.20305822623940.147219141188714
0.4910.22811583570350.152719982995295
0.510.25406884993120.157774758335718
0.5110.28084344205470.162370773185732
0.5210.30835370895910.166437600056346
0.5310.33649977854350.169851115478754
0.5410.36516548431680.17252269316116
0.5510.39421667218140.174302423135776
0.5610.42350112996510.175052075609345
0.5710.45285085502450.174665179659971
0.5810.48208696614730.173081613881567
0.5910.51102710609340.170305974100526
0.610.53949474780830.166395378118241
0.6110.56732946837920.161482181911722
0.6210.59439702542120.15573540718436
0.6310.62059797981340.14941573539956
0.6410.64587366883090.142788196122023
0.6510.67020855562510.136144262196232
0.6610.69362837047150.129751628885047
0.6710.71619400400790.123843894258418
0.6810.73799176604410.118586550393534
0.6910.75912129275190.114037257362323
0.710.77968293483880.110165490706455
0.7110.799766734480.106841074408363
0.7210.81944496515550.103892441923902
0.7310.83876960245750.101126157743719
0.7410.85777506570320.098384110365502
0.7510.87648530468970.0955933432611503
0.7610.89492310671940.0927547323486671
0.7710.9131187303020.0899535671592574
0.7810.9311149632880.0873395582225182
0.7910.94896663479680.0850243203718191
0.810.96673440728190.0830810627117679
0.8110.98447494707620.0814737130075448
0.8211.00223163483210.0800551133609077
0.8311.02003098477140.0786224446822674
0.8411.03788912705570.0769923244212101
0.8511.05582970198780.0750927316237073
0.8611.07390965143740.0730421245575059
0.8711.0922438669910.0711394244206609
0.8811.11101539902980.0698067979770271
0.8911.1304571391230.0694015887094434
0.911.15079526234390.0699567486845538
0.9111.17215471468410.0710186352342984
0.9211.19444144684850.0716227960508331
0.9311.21723210112450.0704955812539934
0.9411.2397151967240.0663860075835923
0.9511.26073264143990.0584632852113282
0.9611.2789586275330.0467454555868337
0.9711.29321569914620.0324466860472781
0.9811.3028612572080.0179728054295693
0.9911.30809640716940.00636094354855812

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.25640408038053 & 0.056178497405258 \tabularnewline
0.02 & 9.28356664148172 & 0.0652131432867701 \tabularnewline
0.03 & 9.31533278657141 & 0.0687966120753632 \tabularnewline
0.04 & 9.34654193363345 & 0.0653688304484037 \tabularnewline
0.05 & 9.37448619582124 & 0.0588127950992012 \tabularnewline
0.06 & 9.398613221095 & 0.0538766385320849 \tabularnewline
0.07 & 9.41965893305201 & 0.053110518354996 \tabularnewline
0.08 & 9.43881059417366 & 0.0560585905674478 \tabularnewline
0.09 & 9.45713452727776 & 0.0607508949464942 \tabularnewline
0.1 & 9.47531305939449 & 0.0653699472917647 \tabularnewline
0.11 & 9.49362807417384 & 0.0689394456918129 \tabularnewline
0.12 & 9.51208371037933 & 0.0712359521122514 \tabularnewline
0.13 & 9.53056699255495 & 0.0726406627689804 \tabularnewline
0.14 & 9.54897905871722 & 0.0738257108117754 \tabularnewline
0.15 & 9.56730788642874 & 0.0755101153631494 \tabularnewline
0.16 & 9.58564256930607 & 0.0782097227759832 \tabularnewline
0.17 & 9.60414547038507 & 0.0820983018341349 \tabularnewline
0.18 & 9.62300372886803 & 0.0869853111523155 \tabularnewline
0.19 & 9.64237933447593 & 0.0924703173300274 \tabularnewline
0.2 & 9.66237098801558 & 0.0980228384235474 \tabularnewline
0.21 & 9.68299407870595 & 0.1031138309715 \tabularnewline
0.22 & 9.70417915937946 & 0.107344233643914 \tabularnewline
0.23 & 9.72578521678882 & 0.110418033631131 \tabularnewline
0.24 & 9.74762203892549 & 0.112208829526273 \tabularnewline
0.25 & 9.76947581029664 & 0.11272114306665 \tabularnewline
0.26 & 9.79113317435967 & 0.11204437123688 \tabularnewline
0.27 & 9.8124007490752 & 0.110343095522547 \tabularnewline
0.28 & 9.83311888328987 & 0.107858279696663 \tabularnewline
0.29 & 9.85316987717072 & 0.104814209810587 \tabularnewline
0.3 & 9.87248174725496 & 0.101431256586233 \tabularnewline
0.31 & 9.89102888324211 & 0.0979572315060913 \tabularnewline
0.32 & 9.90883075343148 & 0.0946369716187978 \tabularnewline
0.33 & 9.92594937625852 & 0.0916999059463191 \tabularnewline
0.34 & 9.94248579734489 & 0.0893814098223719 \tabularnewline
0.35 & 9.95857545702159 & 0.0878963582144533 \tabularnewline
0.36 & 9.97438219037009 & 0.0874428528289101 \tabularnewline
0.37 & 9.99009068233359 & 0.0881633600326123 \tabularnewline
0.38 & 10.0058974549657 & 0.0901285402056011 \tabularnewline
0.39 & 10.022000804726 & 0.0933000633820562 \tabularnewline
0.4 & 10.0385904334821 & 0.0976099587391343 \tabularnewline
0.41 & 10.055837734489 & 0.102860910966751 \tabularnewline
0.42 & 10.0738877373602 & 0.108829593953921 \tabularnewline
0.43 & 10.0928535562299 & 0.115253325921812 \tabularnewline
0.44 & 10.1128138407349 & 0.121906765098961 \tabularnewline
0.45 & 10.1338132616596 & 0.128585226849296 \tabularnewline
0.46 & 10.1558655665607 & 0.135097454228796 \tabularnewline
0.47 & 10.1789583231924 & 0.14134634244505 \tabularnewline
0.48 & 10.2030582262394 & 0.147219141188714 \tabularnewline
0.49 & 10.2281158357035 & 0.152719982995295 \tabularnewline
0.5 & 10.2540688499312 & 0.157774758335718 \tabularnewline
0.51 & 10.2808434420547 & 0.162370773185732 \tabularnewline
0.52 & 10.3083537089591 & 0.166437600056346 \tabularnewline
0.53 & 10.3364997785435 & 0.169851115478754 \tabularnewline
0.54 & 10.3651654843168 & 0.17252269316116 \tabularnewline
0.55 & 10.3942166721814 & 0.174302423135776 \tabularnewline
0.56 & 10.4235011299651 & 0.175052075609345 \tabularnewline
0.57 & 10.4528508550245 & 0.174665179659971 \tabularnewline
0.58 & 10.4820869661473 & 0.173081613881567 \tabularnewline
0.59 & 10.5110271060934 & 0.170305974100526 \tabularnewline
0.6 & 10.5394947478083 & 0.166395378118241 \tabularnewline
0.61 & 10.5673294683792 & 0.161482181911722 \tabularnewline
0.62 & 10.5943970254212 & 0.15573540718436 \tabularnewline
0.63 & 10.6205979798134 & 0.14941573539956 \tabularnewline
0.64 & 10.6458736688309 & 0.142788196122023 \tabularnewline
0.65 & 10.6702085556251 & 0.136144262196232 \tabularnewline
0.66 & 10.6936283704715 & 0.129751628885047 \tabularnewline
0.67 & 10.7161940040079 & 0.123843894258418 \tabularnewline
0.68 & 10.7379917660441 & 0.118586550393534 \tabularnewline
0.69 & 10.7591212927519 & 0.114037257362323 \tabularnewline
0.7 & 10.7796829348388 & 0.110165490706455 \tabularnewline
0.71 & 10.79976673448 & 0.106841074408363 \tabularnewline
0.72 & 10.8194449651555 & 0.103892441923902 \tabularnewline
0.73 & 10.8387696024575 & 0.101126157743719 \tabularnewline
0.74 & 10.8577750657032 & 0.098384110365502 \tabularnewline
0.75 & 10.8764853046897 & 0.0955933432611503 \tabularnewline
0.76 & 10.8949231067194 & 0.0927547323486671 \tabularnewline
0.77 & 10.913118730302 & 0.0899535671592574 \tabularnewline
0.78 & 10.931114963288 & 0.0873395582225182 \tabularnewline
0.79 & 10.9489666347968 & 0.0850243203718191 \tabularnewline
0.8 & 10.9667344072819 & 0.0830810627117679 \tabularnewline
0.81 & 10.9844749470762 & 0.0814737130075448 \tabularnewline
0.82 & 11.0022316348321 & 0.0800551133609077 \tabularnewline
0.83 & 11.0200309847714 & 0.0786224446822674 \tabularnewline
0.84 & 11.0378891270557 & 0.0769923244212101 \tabularnewline
0.85 & 11.0558297019878 & 0.0750927316237073 \tabularnewline
0.86 & 11.0739096514374 & 0.0730421245575059 \tabularnewline
0.87 & 11.092243866991 & 0.0711394244206609 \tabularnewline
0.88 & 11.1110153990298 & 0.0698067979770271 \tabularnewline
0.89 & 11.130457139123 & 0.0694015887094434 \tabularnewline
0.9 & 11.1507952623439 & 0.0699567486845538 \tabularnewline
0.91 & 11.1721547146841 & 0.0710186352342984 \tabularnewline
0.92 & 11.1944414468485 & 0.0716227960508331 \tabularnewline
0.93 & 11.2172321011245 & 0.0704955812539934 \tabularnewline
0.94 & 11.239715196724 & 0.0663860075835923 \tabularnewline
0.95 & 11.2607326414399 & 0.0584632852113282 \tabularnewline
0.96 & 11.278958627533 & 0.0467454555868337 \tabularnewline
0.97 & 11.2932156991462 & 0.0324466860472781 \tabularnewline
0.98 & 11.302861257208 & 0.0179728054295693 \tabularnewline
0.99 & 11.3080964071694 & 0.00636094354855812 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162982&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]9.25640408038053[/C][C]0.056178497405258[/C][/ROW]
[ROW][C]0.02[/C][C]9.28356664148172[/C][C]0.0652131432867701[/C][/ROW]
[ROW][C]0.03[/C][C]9.31533278657141[/C][C]0.0687966120753632[/C][/ROW]
[ROW][C]0.04[/C][C]9.34654193363345[/C][C]0.0653688304484037[/C][/ROW]
[ROW][C]0.05[/C][C]9.37448619582124[/C][C]0.0588127950992012[/C][/ROW]
[ROW][C]0.06[/C][C]9.398613221095[/C][C]0.0538766385320849[/C][/ROW]
[ROW][C]0.07[/C][C]9.41965893305201[/C][C]0.053110518354996[/C][/ROW]
[ROW][C]0.08[/C][C]9.43881059417366[/C][C]0.0560585905674478[/C][/ROW]
[ROW][C]0.09[/C][C]9.45713452727776[/C][C]0.0607508949464942[/C][/ROW]
[ROW][C]0.1[/C][C]9.47531305939449[/C][C]0.0653699472917647[/C][/ROW]
[ROW][C]0.11[/C][C]9.49362807417384[/C][C]0.0689394456918129[/C][/ROW]
[ROW][C]0.12[/C][C]9.51208371037933[/C][C]0.0712359521122514[/C][/ROW]
[ROW][C]0.13[/C][C]9.53056699255495[/C][C]0.0726406627689804[/C][/ROW]
[ROW][C]0.14[/C][C]9.54897905871722[/C][C]0.0738257108117754[/C][/ROW]
[ROW][C]0.15[/C][C]9.56730788642874[/C][C]0.0755101153631494[/C][/ROW]
[ROW][C]0.16[/C][C]9.58564256930607[/C][C]0.0782097227759832[/C][/ROW]
[ROW][C]0.17[/C][C]9.60414547038507[/C][C]0.0820983018341349[/C][/ROW]
[ROW][C]0.18[/C][C]9.62300372886803[/C][C]0.0869853111523155[/C][/ROW]
[ROW][C]0.19[/C][C]9.64237933447593[/C][C]0.0924703173300274[/C][/ROW]
[ROW][C]0.2[/C][C]9.66237098801558[/C][C]0.0980228384235474[/C][/ROW]
[ROW][C]0.21[/C][C]9.68299407870595[/C][C]0.1031138309715[/C][/ROW]
[ROW][C]0.22[/C][C]9.70417915937946[/C][C]0.107344233643914[/C][/ROW]
[ROW][C]0.23[/C][C]9.72578521678882[/C][C]0.110418033631131[/C][/ROW]
[ROW][C]0.24[/C][C]9.74762203892549[/C][C]0.112208829526273[/C][/ROW]
[ROW][C]0.25[/C][C]9.76947581029664[/C][C]0.11272114306665[/C][/ROW]
[ROW][C]0.26[/C][C]9.79113317435967[/C][C]0.11204437123688[/C][/ROW]
[ROW][C]0.27[/C][C]9.8124007490752[/C][C]0.110343095522547[/C][/ROW]
[ROW][C]0.28[/C][C]9.83311888328987[/C][C]0.107858279696663[/C][/ROW]
[ROW][C]0.29[/C][C]9.85316987717072[/C][C]0.104814209810587[/C][/ROW]
[ROW][C]0.3[/C][C]9.87248174725496[/C][C]0.101431256586233[/C][/ROW]
[ROW][C]0.31[/C][C]9.89102888324211[/C][C]0.0979572315060913[/C][/ROW]
[ROW][C]0.32[/C][C]9.90883075343148[/C][C]0.0946369716187978[/C][/ROW]
[ROW][C]0.33[/C][C]9.92594937625852[/C][C]0.0916999059463191[/C][/ROW]
[ROW][C]0.34[/C][C]9.94248579734489[/C][C]0.0893814098223719[/C][/ROW]
[ROW][C]0.35[/C][C]9.95857545702159[/C][C]0.0878963582144533[/C][/ROW]
[ROW][C]0.36[/C][C]9.97438219037009[/C][C]0.0874428528289101[/C][/ROW]
[ROW][C]0.37[/C][C]9.99009068233359[/C][C]0.0881633600326123[/C][/ROW]
[ROW][C]0.38[/C][C]10.0058974549657[/C][C]0.0901285402056011[/C][/ROW]
[ROW][C]0.39[/C][C]10.022000804726[/C][C]0.0933000633820562[/C][/ROW]
[ROW][C]0.4[/C][C]10.0385904334821[/C][C]0.0976099587391343[/C][/ROW]
[ROW][C]0.41[/C][C]10.055837734489[/C][C]0.102860910966751[/C][/ROW]
[ROW][C]0.42[/C][C]10.0738877373602[/C][C]0.108829593953921[/C][/ROW]
[ROW][C]0.43[/C][C]10.0928535562299[/C][C]0.115253325921812[/C][/ROW]
[ROW][C]0.44[/C][C]10.1128138407349[/C][C]0.121906765098961[/C][/ROW]
[ROW][C]0.45[/C][C]10.1338132616596[/C][C]0.128585226849296[/C][/ROW]
[ROW][C]0.46[/C][C]10.1558655665607[/C][C]0.135097454228796[/C][/ROW]
[ROW][C]0.47[/C][C]10.1789583231924[/C][C]0.14134634244505[/C][/ROW]
[ROW][C]0.48[/C][C]10.2030582262394[/C][C]0.147219141188714[/C][/ROW]
[ROW][C]0.49[/C][C]10.2281158357035[/C][C]0.152719982995295[/C][/ROW]
[ROW][C]0.5[/C][C]10.2540688499312[/C][C]0.157774758335718[/C][/ROW]
[ROW][C]0.51[/C][C]10.2808434420547[/C][C]0.162370773185732[/C][/ROW]
[ROW][C]0.52[/C][C]10.3083537089591[/C][C]0.166437600056346[/C][/ROW]
[ROW][C]0.53[/C][C]10.3364997785435[/C][C]0.169851115478754[/C][/ROW]
[ROW][C]0.54[/C][C]10.3651654843168[/C][C]0.17252269316116[/C][/ROW]
[ROW][C]0.55[/C][C]10.3942166721814[/C][C]0.174302423135776[/C][/ROW]
[ROW][C]0.56[/C][C]10.4235011299651[/C][C]0.175052075609345[/C][/ROW]
[ROW][C]0.57[/C][C]10.4528508550245[/C][C]0.174665179659971[/C][/ROW]
[ROW][C]0.58[/C][C]10.4820869661473[/C][C]0.173081613881567[/C][/ROW]
[ROW][C]0.59[/C][C]10.5110271060934[/C][C]0.170305974100526[/C][/ROW]
[ROW][C]0.6[/C][C]10.5394947478083[/C][C]0.166395378118241[/C][/ROW]
[ROW][C]0.61[/C][C]10.5673294683792[/C][C]0.161482181911722[/C][/ROW]
[ROW][C]0.62[/C][C]10.5943970254212[/C][C]0.15573540718436[/C][/ROW]
[ROW][C]0.63[/C][C]10.6205979798134[/C][C]0.14941573539956[/C][/ROW]
[ROW][C]0.64[/C][C]10.6458736688309[/C][C]0.142788196122023[/C][/ROW]
[ROW][C]0.65[/C][C]10.6702085556251[/C][C]0.136144262196232[/C][/ROW]
[ROW][C]0.66[/C][C]10.6936283704715[/C][C]0.129751628885047[/C][/ROW]
[ROW][C]0.67[/C][C]10.7161940040079[/C][C]0.123843894258418[/C][/ROW]
[ROW][C]0.68[/C][C]10.7379917660441[/C][C]0.118586550393534[/C][/ROW]
[ROW][C]0.69[/C][C]10.7591212927519[/C][C]0.114037257362323[/C][/ROW]
[ROW][C]0.7[/C][C]10.7796829348388[/C][C]0.110165490706455[/C][/ROW]
[ROW][C]0.71[/C][C]10.79976673448[/C][C]0.106841074408363[/C][/ROW]
[ROW][C]0.72[/C][C]10.8194449651555[/C][C]0.103892441923902[/C][/ROW]
[ROW][C]0.73[/C][C]10.8387696024575[/C][C]0.101126157743719[/C][/ROW]
[ROW][C]0.74[/C][C]10.8577750657032[/C][C]0.098384110365502[/C][/ROW]
[ROW][C]0.75[/C][C]10.8764853046897[/C][C]0.0955933432611503[/C][/ROW]
[ROW][C]0.76[/C][C]10.8949231067194[/C][C]0.0927547323486671[/C][/ROW]
[ROW][C]0.77[/C][C]10.913118730302[/C][C]0.0899535671592574[/C][/ROW]
[ROW][C]0.78[/C][C]10.931114963288[/C][C]0.0873395582225182[/C][/ROW]
[ROW][C]0.79[/C][C]10.9489666347968[/C][C]0.0850243203718191[/C][/ROW]
[ROW][C]0.8[/C][C]10.9667344072819[/C][C]0.0830810627117679[/C][/ROW]
[ROW][C]0.81[/C][C]10.9844749470762[/C][C]0.0814737130075448[/C][/ROW]
[ROW][C]0.82[/C][C]11.0022316348321[/C][C]0.0800551133609077[/C][/ROW]
[ROW][C]0.83[/C][C]11.0200309847714[/C][C]0.0786224446822674[/C][/ROW]
[ROW][C]0.84[/C][C]11.0378891270557[/C][C]0.0769923244212101[/C][/ROW]
[ROW][C]0.85[/C][C]11.0558297019878[/C][C]0.0750927316237073[/C][/ROW]
[ROW][C]0.86[/C][C]11.0739096514374[/C][C]0.0730421245575059[/C][/ROW]
[ROW][C]0.87[/C][C]11.092243866991[/C][C]0.0711394244206609[/C][/ROW]
[ROW][C]0.88[/C][C]11.1110153990298[/C][C]0.0698067979770271[/C][/ROW]
[ROW][C]0.89[/C][C]11.130457139123[/C][C]0.0694015887094434[/C][/ROW]
[ROW][C]0.9[/C][C]11.1507952623439[/C][C]0.0699567486845538[/C][/ROW]
[ROW][C]0.91[/C][C]11.1721547146841[/C][C]0.0710186352342984[/C][/ROW]
[ROW][C]0.92[/C][C]11.1944414468485[/C][C]0.0716227960508331[/C][/ROW]
[ROW][C]0.93[/C][C]11.2172321011245[/C][C]0.0704955812539934[/C][/ROW]
[ROW][C]0.94[/C][C]11.239715196724[/C][C]0.0663860075835923[/C][/ROW]
[ROW][C]0.95[/C][C]11.2607326414399[/C][C]0.0584632852113282[/C][/ROW]
[ROW][C]0.96[/C][C]11.278958627533[/C][C]0.0467454555868337[/C][/ROW]
[ROW][C]0.97[/C][C]11.2932156991462[/C][C]0.0324466860472781[/C][/ROW]
[ROW][C]0.98[/C][C]11.302861257208[/C][C]0.0179728054295693[/C][/ROW]
[ROW][C]0.99[/C][C]11.3080964071694[/C][C]0.00636094354855812[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162982&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162982&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
0.019.256404080380530.056178497405258
0.029.283566641481720.0652131432867701
0.039.315332786571410.0687966120753632
0.049.346541933633450.0653688304484037
0.059.374486195821240.0588127950992012
0.069.3986132210950.0538766385320849
0.079.419658933052010.053110518354996
0.089.438810594173660.0560585905674478
0.099.457134527277760.0607508949464942
0.19.475313059394490.0653699472917647
0.119.493628074173840.0689394456918129
0.129.512083710379330.0712359521122514
0.139.530566992554950.0726406627689804
0.149.548979058717220.0738257108117754
0.159.567307886428740.0755101153631494
0.169.585642569306070.0782097227759832
0.179.604145470385070.0820983018341349
0.189.623003728868030.0869853111523155
0.199.642379334475930.0924703173300274
0.29.662370988015580.0980228384235474
0.219.682994078705950.1031138309715
0.229.704179159379460.107344233643914
0.239.725785216788820.110418033631131
0.249.747622038925490.112208829526273
0.259.769475810296640.11272114306665
0.269.791133174359670.11204437123688
0.279.81240074907520.110343095522547
0.289.833118883289870.107858279696663
0.299.853169877170720.104814209810587
0.39.872481747254960.101431256586233
0.319.891028883242110.0979572315060913
0.329.908830753431480.0946369716187978
0.339.925949376258520.0916999059463191
0.349.942485797344890.0893814098223719
0.359.958575457021590.0878963582144533
0.369.974382190370090.0874428528289101
0.379.990090682333590.0881633600326123
0.3810.00589745496570.0901285402056011
0.3910.0220008047260.0933000633820562
0.410.03859043348210.0976099587391343
0.4110.0558377344890.102860910966751
0.4210.07388773736020.108829593953921
0.4310.09285355622990.115253325921812
0.4410.11281384073490.121906765098961
0.4510.13381326165960.128585226849296
0.4610.15586556656070.135097454228796
0.4710.17895832319240.14134634244505
0.4810.20305822623940.147219141188714
0.4910.22811583570350.152719982995295
0.510.25406884993120.157774758335718
0.5110.28084344205470.162370773185732
0.5210.30835370895910.166437600056346
0.5310.33649977854350.169851115478754
0.5410.36516548431680.17252269316116
0.5510.39421667218140.174302423135776
0.5610.42350112996510.175052075609345
0.5710.45285085502450.174665179659971
0.5810.48208696614730.173081613881567
0.5910.51102710609340.170305974100526
0.610.53949474780830.166395378118241
0.6110.56732946837920.161482181911722
0.6210.59439702542120.15573540718436
0.6310.62059797981340.14941573539956
0.6410.64587366883090.142788196122023
0.6510.67020855562510.136144262196232
0.6610.69362837047150.129751628885047
0.6710.71619400400790.123843894258418
0.6810.73799176604410.118586550393534
0.6910.75912129275190.114037257362323
0.710.77968293483880.110165490706455
0.7110.799766734480.106841074408363
0.7210.81944496515550.103892441923902
0.7310.83876960245750.101126157743719
0.7410.85777506570320.098384110365502
0.7510.87648530468970.0955933432611503
0.7610.89492310671940.0927547323486671
0.7710.9131187303020.0899535671592574
0.7810.9311149632880.0873395582225182
0.7910.94896663479680.0850243203718191
0.810.96673440728190.0830810627117679
0.8110.98447494707620.0814737130075448
0.8211.00223163483210.0800551133609077
0.8311.02003098477140.0786224446822674
0.8411.03788912705570.0769923244212101
0.8511.05582970198780.0750927316237073
0.8611.07390965143740.0730421245575059
0.8711.0922438669910.0711394244206609
0.8811.11101539902980.0698067979770271
0.8911.1304571391230.0694015887094434
0.911.15079526234390.0699567486845538
0.9111.17215471468410.0710186352342984
0.9211.19444144684850.0716227960508331
0.9311.21723210112450.0704955812539934
0.9411.2397151967240.0663860075835923
0.9511.26073264143990.0584632852113282
0.9611.2789586275330.0467454555868337
0.9711.29321569914620.0324466860472781
0.9811.3028612572080.0179728054295693
0.9911.30809640716940.00636094354855812


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')