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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, 05 Jan 2011 08:21:25 +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/2011/Jan/05/t12942157028izjh68cwe0iyks.htm/, Retrieved Wed, 15 May 2024 18:59:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117269, Retrieved Wed, 15 May 2024 18:59:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact217

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] [] [2010-10-13 17:53:15] [aa10f9161a5c33241da7144d3bd8e782]
-   PD  [Harrell-Davis Quantiles] [] [2010-12-05 10:25:32] [aa10f9161a5c33241da7144d3bd8e782]
-   PD      [Harrell-Davis Quantiles] [] [2011-01-05 08:21:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.2
13.8
16.2
14.7
13.9
16.0
14.4
12.3
15.9
15.9
15.5
15.1
14.5
15.1
17.4
16.2
15.6
17.2
14.9
13.8
17.5
16.2
17.5
16.6
16.2
16.6
19.6
15.9
18.0
18.3
16.3
14.9
18.2
18.4
18.5
16.0
17.4
17.2
19.6
17.2
18.3
19.3
18.1
16.2
18.4
20.5
19.0
16.5
18.7
19.0
19.2
20.5
19.3
20.6
20.1
16.1
20.4
19.7
15.6
14.4
13.9
14.3
15.3
14.4
13.8
15.7
14.7
12.5
16.2
16.1
16
15.8
15.2

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' @ www.yougetit.org

\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' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117269&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' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117269&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117269&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' @ www.yougetit.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.4228231770810.332364478711937
0.0212.65176548125560.496883888037116
0.0312.93167551595230.559419653635975
0.0413.20527269361710.513778744805653
0.0513.43709392279180.415896538515109
0.0613.61705913668120.320826905971471
0.0713.75263627185080.260065405050792
0.0813.85827694057170.239197680594522
0.0913.94759579246460.244287497108119
0.114.02981879406410.257711293686619
0.1114.10952918732270.268666401773401
0.1214.18804611300480.273418880140826
0.1314.26510829853830.272904012786661
0.1414.34014850018790.270278941218986
0.1514.41295351087160.268800230660118
0.1614.48380717372960.270440279459364
0.1714.55333198195750.275498437594518
0.1814.62223794948150.283051755093325
0.1914.69111748015560.291794896450366
0.214.76034240899250.300549914724949
0.2114.83005626033050.308602651291609
0.2214.90022323018040.315585832257722
0.2314.97069202390390.32134369937013
0.2415.04124604428910.325857947117623
0.2515.11162941155490.328973410438057
0.2615.18155254944660.330438610835401
0.2715.25068817019420.32994540339392
0.2815.3186688932120.327164923868823
0.2915.38509390225960.321873788363482
0.315.44954679632440.313979949766625
0.3115.51162226974930.30362988431891
0.3215.57095658549770.291113791054061
0.3315.62725615734440.276918107255346
0.3415.68031948552960.261593285743795
0.3515.73004949951370.245743957249999
0.3615.7764554032260.229965203635453
0.3715.81964495488170.214777384377125
0.3815.85980953683340.200609680178986
0.3915.89720532530290.187817869027606
0.415.93213434721060.176575740977819
0.4115.96492918059280.167027841556627
0.4215.99594445608550.159232681554231
0.4316.02555711167190.153309706935061
0.4416.05417559937870.149404904973958
0.4516.08225614832360.147871376838562
0.4616.11032211257170.149216721207192
0.4716.13898082786680.15407241988518
0.4816.16893171329570.163155612159269
0.4916.20095990119380.17704838506393
0.516.2359115549090.196040417559748
0.5116.27465005486150.220019537684771
0.5216.31799594192350.248458625859228
0.5316.36665723989880.280336112061606
0.5416.42115977728580.314321248035801
0.5516.48178867853450.348767104918482
0.5616.54855177283850.381960022770863
0.5716.62117307095780.412229191593883
0.5816.6991198987070.438241274422594
0.5916.7816614082080.459000110197993
0.616.86795007060990.474173834836522
0.6116.9571126886920.48394918075051
0.6217.04833475205940.48903987201573
0.6317.14092256559170.490549133608234
0.6417.23433184387520.489563442497869
0.6517.3281588406240.48710551878534
0.6617.42209912637520.483742434161826
0.6717.51588770715340.479499291158888
0.6817.60923994296930.473992506879324
0.6917.70181374595640.466508098087407
0.717.79320892450270.45641942744485
0.7117.88300986819990.443441718493753
0.7217.97086513388840.427875485926544
0.7318.05658512211960.41072335778963
0.7418.14023051386660.393606303054651
0.7518.22216244267550.378454290814714
0.7618.30303193567260.36711900333084
0.7718.38370022300560.360790460247648
0.7818.46510005665770.359660599601404
0.7918.54806639451920.362643586361676
0.818.63317727760070.367752308910803
0.8118.72064805179320.372611363475945
0.8218.81031257375880.374976374876658
0.8318.90170586228430.373419081511676
0.8418.99423957891520.367505685441886
0.8519.08744181609570.358091853292807
0.8619.1812201997270.347012460635907
0.8719.27609968215210.336886461082286
0.8819.37337395186940.330692688523714
0.8919.47508314340850.331247435562382
0.919.58369827117540.340126123925726
0.9119.7013947824510.356101825920247
0.9219.82890307234310.37345799468975
0.9319.9641889201070.381899335250183
0.9420.10160390174640.369280742447642
0.9520.23243508731510.32706186024776
0.9620.3475303137710.256870805291884
0.9720.44132250823720.174506430548855
0.9820.51410748044630.108602377343354
0.9920.56822746939020.0883124616139397

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.422823177081 & 0.332364478711937 \tabularnewline
0.02 & 12.6517654812556 & 0.496883888037116 \tabularnewline
0.03 & 12.9316755159523 & 0.559419653635975 \tabularnewline
0.04 & 13.2052726936171 & 0.513778744805653 \tabularnewline
0.05 & 13.4370939227918 & 0.415896538515109 \tabularnewline
0.06 & 13.6170591366812 & 0.320826905971471 \tabularnewline
0.07 & 13.7526362718508 & 0.260065405050792 \tabularnewline
0.08 & 13.8582769405717 & 0.239197680594522 \tabularnewline
0.09 & 13.9475957924646 & 0.244287497108119 \tabularnewline
0.1 & 14.0298187940641 & 0.257711293686619 \tabularnewline
0.11 & 14.1095291873227 & 0.268666401773401 \tabularnewline
0.12 & 14.1880461130048 & 0.273418880140826 \tabularnewline
0.13 & 14.2651082985383 & 0.272904012786661 \tabularnewline
0.14 & 14.3401485001879 & 0.270278941218986 \tabularnewline
0.15 & 14.4129535108716 & 0.268800230660118 \tabularnewline
0.16 & 14.4838071737296 & 0.270440279459364 \tabularnewline
0.17 & 14.5533319819575 & 0.275498437594518 \tabularnewline
0.18 & 14.6222379494815 & 0.283051755093325 \tabularnewline
0.19 & 14.6911174801556 & 0.291794896450366 \tabularnewline
0.2 & 14.7603424089925 & 0.300549914724949 \tabularnewline
0.21 & 14.8300562603305 & 0.308602651291609 \tabularnewline
0.22 & 14.9002232301804 & 0.315585832257722 \tabularnewline
0.23 & 14.9706920239039 & 0.32134369937013 \tabularnewline
0.24 & 15.0412460442891 & 0.325857947117623 \tabularnewline
0.25 & 15.1116294115549 & 0.328973410438057 \tabularnewline
0.26 & 15.1815525494466 & 0.330438610835401 \tabularnewline
0.27 & 15.2506881701942 & 0.32994540339392 \tabularnewline
0.28 & 15.318668893212 & 0.327164923868823 \tabularnewline
0.29 & 15.3850939022596 & 0.321873788363482 \tabularnewline
0.3 & 15.4495467963244 & 0.313979949766625 \tabularnewline
0.31 & 15.5116222697493 & 0.30362988431891 \tabularnewline
0.32 & 15.5709565854977 & 0.291113791054061 \tabularnewline
0.33 & 15.6272561573444 & 0.276918107255346 \tabularnewline
0.34 & 15.6803194855296 & 0.261593285743795 \tabularnewline
0.35 & 15.7300494995137 & 0.245743957249999 \tabularnewline
0.36 & 15.776455403226 & 0.229965203635453 \tabularnewline
0.37 & 15.8196449548817 & 0.214777384377125 \tabularnewline
0.38 & 15.8598095368334 & 0.200609680178986 \tabularnewline
0.39 & 15.8972053253029 & 0.187817869027606 \tabularnewline
0.4 & 15.9321343472106 & 0.176575740977819 \tabularnewline
0.41 & 15.9649291805928 & 0.167027841556627 \tabularnewline
0.42 & 15.9959444560855 & 0.159232681554231 \tabularnewline
0.43 & 16.0255571116719 & 0.153309706935061 \tabularnewline
0.44 & 16.0541755993787 & 0.149404904973958 \tabularnewline
0.45 & 16.0822561483236 & 0.147871376838562 \tabularnewline
0.46 & 16.1103221125717 & 0.149216721207192 \tabularnewline
0.47 & 16.1389808278668 & 0.15407241988518 \tabularnewline
0.48 & 16.1689317132957 & 0.163155612159269 \tabularnewline
0.49 & 16.2009599011938 & 0.17704838506393 \tabularnewline
0.5 & 16.235911554909 & 0.196040417559748 \tabularnewline
0.51 & 16.2746500548615 & 0.220019537684771 \tabularnewline
0.52 & 16.3179959419235 & 0.248458625859228 \tabularnewline
0.53 & 16.3666572398988 & 0.280336112061606 \tabularnewline
0.54 & 16.4211597772858 & 0.314321248035801 \tabularnewline
0.55 & 16.4817886785345 & 0.348767104918482 \tabularnewline
0.56 & 16.5485517728385 & 0.381960022770863 \tabularnewline
0.57 & 16.6211730709578 & 0.412229191593883 \tabularnewline
0.58 & 16.699119898707 & 0.438241274422594 \tabularnewline
0.59 & 16.781661408208 & 0.459000110197993 \tabularnewline
0.6 & 16.8679500706099 & 0.474173834836522 \tabularnewline
0.61 & 16.957112688692 & 0.48394918075051 \tabularnewline
0.62 & 17.0483347520594 & 0.48903987201573 \tabularnewline
0.63 & 17.1409225655917 & 0.490549133608234 \tabularnewline
0.64 & 17.2343318438752 & 0.489563442497869 \tabularnewline
0.65 & 17.328158840624 & 0.48710551878534 \tabularnewline
0.66 & 17.4220991263752 & 0.483742434161826 \tabularnewline
0.67 & 17.5158877071534 & 0.479499291158888 \tabularnewline
0.68 & 17.6092399429693 & 0.473992506879324 \tabularnewline
0.69 & 17.7018137459564 & 0.466508098087407 \tabularnewline
0.7 & 17.7932089245027 & 0.45641942744485 \tabularnewline
0.71 & 17.8830098681999 & 0.443441718493753 \tabularnewline
0.72 & 17.9708651338884 & 0.427875485926544 \tabularnewline
0.73 & 18.0565851221196 & 0.41072335778963 \tabularnewline
0.74 & 18.1402305138666 & 0.393606303054651 \tabularnewline
0.75 & 18.2221624426755 & 0.378454290814714 \tabularnewline
0.76 & 18.3030319356726 & 0.36711900333084 \tabularnewline
0.77 & 18.3837002230056 & 0.360790460247648 \tabularnewline
0.78 & 18.4651000566577 & 0.359660599601404 \tabularnewline
0.79 & 18.5480663945192 & 0.362643586361676 \tabularnewline
0.8 & 18.6331772776007 & 0.367752308910803 \tabularnewline
0.81 & 18.7206480517932 & 0.372611363475945 \tabularnewline
0.82 & 18.8103125737588 & 0.374976374876658 \tabularnewline
0.83 & 18.9017058622843 & 0.373419081511676 \tabularnewline
0.84 & 18.9942395789152 & 0.367505685441886 \tabularnewline
0.85 & 19.0874418160957 & 0.358091853292807 \tabularnewline
0.86 & 19.181220199727 & 0.347012460635907 \tabularnewline
0.87 & 19.2760996821521 & 0.336886461082286 \tabularnewline
0.88 & 19.3733739518694 & 0.330692688523714 \tabularnewline
0.89 & 19.4750831434085 & 0.331247435562382 \tabularnewline
0.9 & 19.5836982711754 & 0.340126123925726 \tabularnewline
0.91 & 19.701394782451 & 0.356101825920247 \tabularnewline
0.92 & 19.8289030723431 & 0.37345799468975 \tabularnewline
0.93 & 19.964188920107 & 0.381899335250183 \tabularnewline
0.94 & 20.1016039017464 & 0.369280742447642 \tabularnewline
0.95 & 20.2324350873151 & 0.32706186024776 \tabularnewline
0.96 & 20.347530313771 & 0.256870805291884 \tabularnewline
0.97 & 20.4413225082372 & 0.174506430548855 \tabularnewline
0.98 & 20.5141074804463 & 0.108602377343354 \tabularnewline
0.99 & 20.5682274693902 & 0.0883124616139397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117269&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]12.422823177081[/C][C]0.332364478711937[/C][/ROW]
[ROW][C]0.02[/C][C]12.6517654812556[/C][C]0.496883888037116[/C][/ROW]
[ROW][C]0.03[/C][C]12.9316755159523[/C][C]0.559419653635975[/C][/ROW]
[ROW][C]0.04[/C][C]13.2052726936171[/C][C]0.513778744805653[/C][/ROW]
[ROW][C]0.05[/C][C]13.4370939227918[/C][C]0.415896538515109[/C][/ROW]
[ROW][C]0.06[/C][C]13.6170591366812[/C][C]0.320826905971471[/C][/ROW]
[ROW][C]0.07[/C][C]13.7526362718508[/C][C]0.260065405050792[/C][/ROW]
[ROW][C]0.08[/C][C]13.8582769405717[/C][C]0.239197680594522[/C][/ROW]
[ROW][C]0.09[/C][C]13.9475957924646[/C][C]0.244287497108119[/C][/ROW]
[ROW][C]0.1[/C][C]14.0298187940641[/C][C]0.257711293686619[/C][/ROW]
[ROW][C]0.11[/C][C]14.1095291873227[/C][C]0.268666401773401[/C][/ROW]
[ROW][C]0.12[/C][C]14.1880461130048[/C][C]0.273418880140826[/C][/ROW]
[ROW][C]0.13[/C][C]14.2651082985383[/C][C]0.272904012786661[/C][/ROW]
[ROW][C]0.14[/C][C]14.3401485001879[/C][C]0.270278941218986[/C][/ROW]
[ROW][C]0.15[/C][C]14.4129535108716[/C][C]0.268800230660118[/C][/ROW]
[ROW][C]0.16[/C][C]14.4838071737296[/C][C]0.270440279459364[/C][/ROW]
[ROW][C]0.17[/C][C]14.5533319819575[/C][C]0.275498437594518[/C][/ROW]
[ROW][C]0.18[/C][C]14.6222379494815[/C][C]0.283051755093325[/C][/ROW]
[ROW][C]0.19[/C][C]14.6911174801556[/C][C]0.291794896450366[/C][/ROW]
[ROW][C]0.2[/C][C]14.7603424089925[/C][C]0.300549914724949[/C][/ROW]
[ROW][C]0.21[/C][C]14.8300562603305[/C][C]0.308602651291609[/C][/ROW]
[ROW][C]0.22[/C][C]14.9002232301804[/C][C]0.315585832257722[/C][/ROW]
[ROW][C]0.23[/C][C]14.9706920239039[/C][C]0.32134369937013[/C][/ROW]
[ROW][C]0.24[/C][C]15.0412460442891[/C][C]0.325857947117623[/C][/ROW]
[ROW][C]0.25[/C][C]15.1116294115549[/C][C]0.328973410438057[/C][/ROW]
[ROW][C]0.26[/C][C]15.1815525494466[/C][C]0.330438610835401[/C][/ROW]
[ROW][C]0.27[/C][C]15.2506881701942[/C][C]0.32994540339392[/C][/ROW]
[ROW][C]0.28[/C][C]15.318668893212[/C][C]0.327164923868823[/C][/ROW]
[ROW][C]0.29[/C][C]15.3850939022596[/C][C]0.321873788363482[/C][/ROW]
[ROW][C]0.3[/C][C]15.4495467963244[/C][C]0.313979949766625[/C][/ROW]
[ROW][C]0.31[/C][C]15.5116222697493[/C][C]0.30362988431891[/C][/ROW]
[ROW][C]0.32[/C][C]15.5709565854977[/C][C]0.291113791054061[/C][/ROW]
[ROW][C]0.33[/C][C]15.6272561573444[/C][C]0.276918107255346[/C][/ROW]
[ROW][C]0.34[/C][C]15.6803194855296[/C][C]0.261593285743795[/C][/ROW]
[ROW][C]0.35[/C][C]15.7300494995137[/C][C]0.245743957249999[/C][/ROW]
[ROW][C]0.36[/C][C]15.776455403226[/C][C]0.229965203635453[/C][/ROW]
[ROW][C]0.37[/C][C]15.8196449548817[/C][C]0.214777384377125[/C][/ROW]
[ROW][C]0.38[/C][C]15.8598095368334[/C][C]0.200609680178986[/C][/ROW]
[ROW][C]0.39[/C][C]15.8972053253029[/C][C]0.187817869027606[/C][/ROW]
[ROW][C]0.4[/C][C]15.9321343472106[/C][C]0.176575740977819[/C][/ROW]
[ROW][C]0.41[/C][C]15.9649291805928[/C][C]0.167027841556627[/C][/ROW]
[ROW][C]0.42[/C][C]15.9959444560855[/C][C]0.159232681554231[/C][/ROW]
[ROW][C]0.43[/C][C]16.0255571116719[/C][C]0.153309706935061[/C][/ROW]
[ROW][C]0.44[/C][C]16.0541755993787[/C][C]0.149404904973958[/C][/ROW]
[ROW][C]0.45[/C][C]16.0822561483236[/C][C]0.147871376838562[/C][/ROW]
[ROW][C]0.46[/C][C]16.1103221125717[/C][C]0.149216721207192[/C][/ROW]
[ROW][C]0.47[/C][C]16.1389808278668[/C][C]0.15407241988518[/C][/ROW]
[ROW][C]0.48[/C][C]16.1689317132957[/C][C]0.163155612159269[/C][/ROW]
[ROW][C]0.49[/C][C]16.2009599011938[/C][C]0.17704838506393[/C][/ROW]
[ROW][C]0.5[/C][C]16.235911554909[/C][C]0.196040417559748[/C][/ROW]
[ROW][C]0.51[/C][C]16.2746500548615[/C][C]0.220019537684771[/C][/ROW]
[ROW][C]0.52[/C][C]16.3179959419235[/C][C]0.248458625859228[/C][/ROW]
[ROW][C]0.53[/C][C]16.3666572398988[/C][C]0.280336112061606[/C][/ROW]
[ROW][C]0.54[/C][C]16.4211597772858[/C][C]0.314321248035801[/C][/ROW]
[ROW][C]0.55[/C][C]16.4817886785345[/C][C]0.348767104918482[/C][/ROW]
[ROW][C]0.56[/C][C]16.5485517728385[/C][C]0.381960022770863[/C][/ROW]
[ROW][C]0.57[/C][C]16.6211730709578[/C][C]0.412229191593883[/C][/ROW]
[ROW][C]0.58[/C][C]16.699119898707[/C][C]0.438241274422594[/C][/ROW]
[ROW][C]0.59[/C][C]16.781661408208[/C][C]0.459000110197993[/C][/ROW]
[ROW][C]0.6[/C][C]16.8679500706099[/C][C]0.474173834836522[/C][/ROW]
[ROW][C]0.61[/C][C]16.957112688692[/C][C]0.48394918075051[/C][/ROW]
[ROW][C]0.62[/C][C]17.0483347520594[/C][C]0.48903987201573[/C][/ROW]
[ROW][C]0.63[/C][C]17.1409225655917[/C][C]0.490549133608234[/C][/ROW]
[ROW][C]0.64[/C][C]17.2343318438752[/C][C]0.489563442497869[/C][/ROW]
[ROW][C]0.65[/C][C]17.328158840624[/C][C]0.48710551878534[/C][/ROW]
[ROW][C]0.66[/C][C]17.4220991263752[/C][C]0.483742434161826[/C][/ROW]
[ROW][C]0.67[/C][C]17.5158877071534[/C][C]0.479499291158888[/C][/ROW]
[ROW][C]0.68[/C][C]17.6092399429693[/C][C]0.473992506879324[/C][/ROW]
[ROW][C]0.69[/C][C]17.7018137459564[/C][C]0.466508098087407[/C][/ROW]
[ROW][C]0.7[/C][C]17.7932089245027[/C][C]0.45641942744485[/C][/ROW]
[ROW][C]0.71[/C][C]17.8830098681999[/C][C]0.443441718493753[/C][/ROW]
[ROW][C]0.72[/C][C]17.9708651338884[/C][C]0.427875485926544[/C][/ROW]
[ROW][C]0.73[/C][C]18.0565851221196[/C][C]0.41072335778963[/C][/ROW]
[ROW][C]0.74[/C][C]18.1402305138666[/C][C]0.393606303054651[/C][/ROW]
[ROW][C]0.75[/C][C]18.2221624426755[/C][C]0.378454290814714[/C][/ROW]
[ROW][C]0.76[/C][C]18.3030319356726[/C][C]0.36711900333084[/C][/ROW]
[ROW][C]0.77[/C][C]18.3837002230056[/C][C]0.360790460247648[/C][/ROW]
[ROW][C]0.78[/C][C]18.4651000566577[/C][C]0.359660599601404[/C][/ROW]
[ROW][C]0.79[/C][C]18.5480663945192[/C][C]0.362643586361676[/C][/ROW]
[ROW][C]0.8[/C][C]18.6331772776007[/C][C]0.367752308910803[/C][/ROW]
[ROW][C]0.81[/C][C]18.7206480517932[/C][C]0.372611363475945[/C][/ROW]
[ROW][C]0.82[/C][C]18.8103125737588[/C][C]0.374976374876658[/C][/ROW]
[ROW][C]0.83[/C][C]18.9017058622843[/C][C]0.373419081511676[/C][/ROW]
[ROW][C]0.84[/C][C]18.9942395789152[/C][C]0.367505685441886[/C][/ROW]
[ROW][C]0.85[/C][C]19.0874418160957[/C][C]0.358091853292807[/C][/ROW]
[ROW][C]0.86[/C][C]19.181220199727[/C][C]0.347012460635907[/C][/ROW]
[ROW][C]0.87[/C][C]19.2760996821521[/C][C]0.336886461082286[/C][/ROW]
[ROW][C]0.88[/C][C]19.3733739518694[/C][C]0.330692688523714[/C][/ROW]
[ROW][C]0.89[/C][C]19.4750831434085[/C][C]0.331247435562382[/C][/ROW]
[ROW][C]0.9[/C][C]19.5836982711754[/C][C]0.340126123925726[/C][/ROW]
[ROW][C]0.91[/C][C]19.701394782451[/C][C]0.356101825920247[/C][/ROW]
[ROW][C]0.92[/C][C]19.8289030723431[/C][C]0.37345799468975[/C][/ROW]
[ROW][C]0.93[/C][C]19.964188920107[/C][C]0.381899335250183[/C][/ROW]
[ROW][C]0.94[/C][C]20.1016039017464[/C][C]0.369280742447642[/C][/ROW]
[ROW][C]0.95[/C][C]20.2324350873151[/C][C]0.32706186024776[/C][/ROW]
[ROW][C]0.96[/C][C]20.347530313771[/C][C]0.256870805291884[/C][/ROW]
[ROW][C]0.97[/C][C]20.4413225082372[/C][C]0.174506430548855[/C][/ROW]
[ROW][C]0.98[/C][C]20.5141074804463[/C][C]0.108602377343354[/C][/ROW]
[ROW][C]0.99[/C][C]20.5682274693902[/C][C]0.0883124616139397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117269&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117269&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
0.0112.4228231770810.332364478711937
0.0212.65176548125560.496883888037116
0.0312.93167551595230.559419653635975
0.0413.20527269361710.513778744805653
0.0513.43709392279180.415896538515109
0.0613.61705913668120.320826905971471
0.0713.75263627185080.260065405050792
0.0813.85827694057170.239197680594522
0.0913.94759579246460.244287497108119
0.114.02981879406410.257711293686619
0.1114.10952918732270.268666401773401
0.1214.18804611300480.273418880140826
0.1314.26510829853830.272904012786661
0.1414.34014850018790.270278941218986
0.1514.41295351087160.268800230660118
0.1614.48380717372960.270440279459364
0.1714.55333198195750.275498437594518
0.1814.62223794948150.283051755093325
0.1914.69111748015560.291794896450366
0.214.76034240899250.300549914724949
0.2114.83005626033050.308602651291609
0.2214.90022323018040.315585832257722
0.2314.97069202390390.32134369937013
0.2415.04124604428910.325857947117623
0.2515.11162941155490.328973410438057
0.2615.18155254944660.330438610835401
0.2715.25068817019420.32994540339392
0.2815.3186688932120.327164923868823
0.2915.38509390225960.321873788363482
0.315.44954679632440.313979949766625
0.3115.51162226974930.30362988431891
0.3215.57095658549770.291113791054061
0.3315.62725615734440.276918107255346
0.3415.68031948552960.261593285743795
0.3515.73004949951370.245743957249999
0.3615.7764554032260.229965203635453
0.3715.81964495488170.214777384377125
0.3815.85980953683340.200609680178986
0.3915.89720532530290.187817869027606
0.415.93213434721060.176575740977819
0.4115.96492918059280.167027841556627
0.4215.99594445608550.159232681554231
0.4316.02555711167190.153309706935061
0.4416.05417559937870.149404904973958
0.4516.08225614832360.147871376838562
0.4616.11032211257170.149216721207192
0.4716.13898082786680.15407241988518
0.4816.16893171329570.163155612159269
0.4916.20095990119380.17704838506393
0.516.2359115549090.196040417559748
0.5116.27465005486150.220019537684771
0.5216.31799594192350.248458625859228
0.5316.36665723989880.280336112061606
0.5416.42115977728580.314321248035801
0.5516.48178867853450.348767104918482
0.5616.54855177283850.381960022770863
0.5716.62117307095780.412229191593883
0.5816.6991198987070.438241274422594
0.5916.7816614082080.459000110197993
0.616.86795007060990.474173834836522
0.6116.9571126886920.48394918075051
0.6217.04833475205940.48903987201573
0.6317.14092256559170.490549133608234
0.6417.23433184387520.489563442497869
0.6517.3281588406240.48710551878534
0.6617.42209912637520.483742434161826
0.6717.51588770715340.479499291158888
0.6817.60923994296930.473992506879324
0.6917.70181374595640.466508098087407
0.717.79320892450270.45641942744485
0.7117.88300986819990.443441718493753
0.7217.97086513388840.427875485926544
0.7318.05658512211960.41072335778963
0.7418.14023051386660.393606303054651
0.7518.22216244267550.378454290814714
0.7618.30303193567260.36711900333084
0.7718.38370022300560.360790460247648
0.7818.46510005665770.359660599601404
0.7918.54806639451920.362643586361676
0.818.63317727760070.367752308910803
0.8118.72064805179320.372611363475945
0.8218.81031257375880.374976374876658
0.8318.90170586228430.373419081511676
0.8418.99423957891520.367505685441886
0.8519.08744181609570.358091853292807
0.8619.1812201997270.347012460635907
0.8719.27609968215210.336886461082286
0.8819.37337395186940.330692688523714
0.8919.47508314340850.331247435562382
0.919.58369827117540.340126123925726
0.9119.7013947824510.356101825920247
0.9219.82890307234310.37345799468975
0.9319.9641889201070.381899335250183
0.9420.10160390174640.369280742447642
0.9520.23243508731510.32706186024776
0.9620.3475303137710.256870805291884
0.9720.44132250823720.174506430548855
0.9820.51410748044630.108602377343354
0.9920.56822746939020.0883124616139397


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')