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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 29 Dec 2009 02:57:52 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/29/t12620807106qhziae4fai9yv2.htm/, Retrieved Fri, 03 May 2024 08:29:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71079, Retrieved Fri, 03 May 2024 08:29:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper
Estimated Impact167

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
- RMPD  [Univariate Explorative Data Analysis] [] [2009-11-02 10:43:25] [8b1aef4e7013bd33fbc2a5833375c5f5]
- R  D    [Univariate Explorative Data Analysis] [Run_sequence_et] [2009-12-28 13:10:54] [2663058f2a5dda519058ac6b2228468f]
- RMPD      [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:18:38] [2663058f2a5dda519058ac6b2228468f]
-   PD        [Harrell-Davis Quantiles] [Harrel-Davis_et] [2009-12-28 13:49:16] [2663058f2a5dda519058ac6b2228468f]
-   PD            [Harrell-Davis Quantiles] [Harrell-Davis_et] [2009-12-29 09:57:52] [5b5bced41faf164488f2c271c918b21f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-4483,592838
-4642,372689
-4838,847424
-5040,46077
-4850,598143
-4806,134656
-5388,033015
-4987,408778
-5596,09098
-6513,501801
-7026,35819
-6932,059651
-8710,984942
-10286,65026
-10536,06841
-13401,59691
-12720,01639
-14758,70399
-19759,33364
-17082,38369
-25204,40303
-53473,56064
-533854,518
79964,4174
42900,581
67740,0525
46891,87093
82834,98699
1002202,245
369405,6774
-1405538,181
522230,6674
89126,53922
34483,04518
21948,21747
23397,25327
18443,57832
18722,3487
17617,49116
16549,70171
13952,43997
13540,98762
14506,52086
13245,89019
12092,74561
9120,933435
8315,807923
8210,018329
7453,921303
7464,41041
7534,226917
7844,435244
8341,584581
9025,764722
8684,589831
8843,29442
7605,314397
5977,279704
4023,149798
3838,307734

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71079&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71079&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71079&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1203803.61531975758698.172518558
0.02-916064.62547396615670.804306805
0.03-634601.398799869467348.873297763
0.04-410394.951289772334267.342989993
0.05-253354.467308596224951.977137295
0.06-152435.549560286142359.678275145
0.07-91436.704800816985115.7971005661
0.08-56226.256694725248609.4986200426
0.09-36586.083577723627027.8103543637
0.1-25850.471154685415101.4484325091
0.11-19975.49041551578899.95865234181
0.12-16651.66872837935846.10633592596
0.13-14628.91245115614392.75128976868
0.14-13261.55431142033690.11657077047
0.15-12228.75320223473320.67135886832
0.16-11375.66351074183095.06000148556
0.17-10629.05806603782927.83343606026
0.18-9954.828098348132779.23860477519
0.19-9337.318821747732630.85393206933
0.2-8769.398996952432475.5387184907
0.21-8247.610234650132312.74096123631
0.22-7769.697433801572146.11141025109
0.23-7333.28603412451981.95309543588
0.24-6935.147774234431828.37594388458
0.25-6570.79566517771694.80051405020
0.26-6234.282926337911591.90312034292
0.27-5918.14754897811531.41527156987
0.28-5613.483397416251525.55015082307
0.29-5310.142716630831585.06948891497
0.3-4997.085312402591716.73931806285
0.31-4662.88582952471921.30602153828
0.32-4296.393297798782193.17010190523
0.33-3887.510141520832521.07481462159
0.34-3428.027498152602888.93078620325
0.35-2912.427703709993276.65368106771
0.36-2338.550543299633661.23561906437
0.37-1708.022541202314018.34751707941
0.38-1026.369862840574324.34220186249
0.39-302.7729167459074558.40541727574
0.4450.5316313607544704.5693811641
0.411219.146523494814753.25969078411
0.421987.610659369264702.12465686715
0.432740.573784420704556.07599633789
0.443463.919056501784326.51605011202
0.454145.716673796864029.94498457568
0.464776.92173185613686.15380116434
0.475351.769823332553316.27076452874
0.485867.86678916662940.96260992339
0.496326.006956393742578.98812372936
0.56729.781412416492246.21681459254
0.517085.051339555851955.23215594717
0.527399.36111241461715.31719996578
0.537681.354284747641532.73618111551
0.547940.237051151561410.85653126314
0.558185.31322191361349.99718621920
0.568425.596759232821347.20311213628
0.578669.49579079281396.41663440769
0.588924.557253925251489.40854566724
0.599197.263524070051616.91061691723
0.69492.879493178361769.31566612091
0.619815.357504710441937.19648499100
0.6210167.31504719282111.56285788812
0.6310550.10357615822284.3207517476
0.6410963.98510117362448.85340608176
0.6511408.42680366252600.66555765701
0.6611882.51503101092737.97009686588
0.6712385.48139014542862.19018988682
0.6812917.32779232342978.30884890842
0.6913479.53505799483095.06327087435
0.714075.83963729073225.12505821916
0.7114713.06151071203385.19962357482
0.7215401.95879030943596.15876145060
0.7316158.06741848213882.82839077669
0.7417002.45753595174273.11764601104
0.7517962.30643667664796.13482897563
0.7619071.16145326685479.18268080383
0.7720368.75797192296344.44381649309
0.7821900.28309442587405.45169838348
0.7923715.05242895098664.56895973507
0.825864.72671810910111.1905653272
0.8128401.499485533311721.6128982581
0.8231377.257371778513461.1597480662
0.8334845.738315690315290.8520210932
0.8438871.385401254617183.0144076371
0.8543550.928100587619155.2585575726
0.8649056.161604136221339.7587598315
0.8755707.307511551724112.7357795991
0.8864082.767511932728291.6146845183
0.8975159.625089254135297.1533536734
0.990459.33168998647013.6113974574
0.91112152.95396111965215.550684378
0.92143082.53452687590797.2049333673
0.93186706.859334049123057.610004837
0.94247065.622137669159437.975203805
0.95328819.443649155196639.262575264
0.96436913.605089355234042.065350086
0.97574213.653452099277934.494611575
0.98734658.480282821338478.740246165
0.99892834.029092867412562.660715348

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1203803.61531975 & 758698.172518558 \tabularnewline
0.02 & -916064.62547396 & 615670.804306805 \tabularnewline
0.03 & -634601.398799869 & 467348.873297763 \tabularnewline
0.04 & -410394.951289772 & 334267.342989993 \tabularnewline
0.05 & -253354.467308596 & 224951.977137295 \tabularnewline
0.06 & -152435.549560286 & 142359.678275145 \tabularnewline
0.07 & -91436.7048008169 & 85115.7971005661 \tabularnewline
0.08 & -56226.2566947252 & 48609.4986200426 \tabularnewline
0.09 & -36586.0835777236 & 27027.8103543637 \tabularnewline
0.1 & -25850.4711546854 & 15101.4484325091 \tabularnewline
0.11 & -19975.4904155157 & 8899.95865234181 \tabularnewline
0.12 & -16651.6687283793 & 5846.10633592596 \tabularnewline
0.13 & -14628.9124511561 & 4392.75128976868 \tabularnewline
0.14 & -13261.5543114203 & 3690.11657077047 \tabularnewline
0.15 & -12228.7532022347 & 3320.67135886832 \tabularnewline
0.16 & -11375.6635107418 & 3095.06000148556 \tabularnewline
0.17 & -10629.0580660378 & 2927.83343606026 \tabularnewline
0.18 & -9954.82809834813 & 2779.23860477519 \tabularnewline
0.19 & -9337.31882174773 & 2630.85393206933 \tabularnewline
0.2 & -8769.39899695243 & 2475.5387184907 \tabularnewline
0.21 & -8247.61023465013 & 2312.74096123631 \tabularnewline
0.22 & -7769.69743380157 & 2146.11141025109 \tabularnewline
0.23 & -7333.2860341245 & 1981.95309543588 \tabularnewline
0.24 & -6935.14777423443 & 1828.37594388458 \tabularnewline
0.25 & -6570.7956651777 & 1694.80051405020 \tabularnewline
0.26 & -6234.28292633791 & 1591.90312034292 \tabularnewline
0.27 & -5918.1475489781 & 1531.41527156987 \tabularnewline
0.28 & -5613.48339741625 & 1525.55015082307 \tabularnewline
0.29 & -5310.14271663083 & 1585.06948891497 \tabularnewline
0.3 & -4997.08531240259 & 1716.73931806285 \tabularnewline
0.31 & -4662.8858295247 & 1921.30602153828 \tabularnewline
0.32 & -4296.39329779878 & 2193.17010190523 \tabularnewline
0.33 & -3887.51014152083 & 2521.07481462159 \tabularnewline
0.34 & -3428.02749815260 & 2888.93078620325 \tabularnewline
0.35 & -2912.42770370999 & 3276.65368106771 \tabularnewline
0.36 & -2338.55054329963 & 3661.23561906437 \tabularnewline
0.37 & -1708.02254120231 & 4018.34751707941 \tabularnewline
0.38 & -1026.36986284057 & 4324.34220186249 \tabularnewline
0.39 & -302.772916745907 & 4558.40541727574 \tabularnewline
0.4 & 450.531631360754 & 4704.5693811641 \tabularnewline
0.41 & 1219.14652349481 & 4753.25969078411 \tabularnewline
0.42 & 1987.61065936926 & 4702.12465686715 \tabularnewline
0.43 & 2740.57378442070 & 4556.07599633789 \tabularnewline
0.44 & 3463.91905650178 & 4326.51605011202 \tabularnewline
0.45 & 4145.71667379686 & 4029.94498457568 \tabularnewline
0.46 & 4776.9217318561 & 3686.15380116434 \tabularnewline
0.47 & 5351.76982333255 & 3316.27076452874 \tabularnewline
0.48 & 5867.8667891666 & 2940.96260992339 \tabularnewline
0.49 & 6326.00695639374 & 2578.98812372936 \tabularnewline
0.5 & 6729.78141241649 & 2246.21681459254 \tabularnewline
0.51 & 7085.05133955585 & 1955.23215594717 \tabularnewline
0.52 & 7399.3611124146 & 1715.31719996578 \tabularnewline
0.53 & 7681.35428474764 & 1532.73618111551 \tabularnewline
0.54 & 7940.23705115156 & 1410.85653126314 \tabularnewline
0.55 & 8185.3132219136 & 1349.99718621920 \tabularnewline
0.56 & 8425.59675923282 & 1347.20311213628 \tabularnewline
0.57 & 8669.4957907928 & 1396.41663440769 \tabularnewline
0.58 & 8924.55725392525 & 1489.40854566724 \tabularnewline
0.59 & 9197.26352407005 & 1616.91061691723 \tabularnewline
0.6 & 9492.87949317836 & 1769.31566612091 \tabularnewline
0.61 & 9815.35750471044 & 1937.19648499100 \tabularnewline
0.62 & 10167.3150471928 & 2111.56285788812 \tabularnewline
0.63 & 10550.1035761582 & 2284.3207517476 \tabularnewline
0.64 & 10963.9851011736 & 2448.85340608176 \tabularnewline
0.65 & 11408.4268036625 & 2600.66555765701 \tabularnewline
0.66 & 11882.5150310109 & 2737.97009686588 \tabularnewline
0.67 & 12385.4813901454 & 2862.19018988682 \tabularnewline
0.68 & 12917.3277923234 & 2978.30884890842 \tabularnewline
0.69 & 13479.5350579948 & 3095.06327087435 \tabularnewline
0.7 & 14075.8396372907 & 3225.12505821916 \tabularnewline
0.71 & 14713.0615107120 & 3385.19962357482 \tabularnewline
0.72 & 15401.9587903094 & 3596.15876145060 \tabularnewline
0.73 & 16158.0674184821 & 3882.82839077669 \tabularnewline
0.74 & 17002.4575359517 & 4273.11764601104 \tabularnewline
0.75 & 17962.3064366766 & 4796.13482897563 \tabularnewline
0.76 & 19071.1614532668 & 5479.18268080383 \tabularnewline
0.77 & 20368.7579719229 & 6344.44381649309 \tabularnewline
0.78 & 21900.2830944258 & 7405.45169838348 \tabularnewline
0.79 & 23715.0524289509 & 8664.56895973507 \tabularnewline
0.8 & 25864.726718109 & 10111.1905653272 \tabularnewline
0.81 & 28401.4994855333 & 11721.6128982581 \tabularnewline
0.82 & 31377.2573717785 & 13461.1597480662 \tabularnewline
0.83 & 34845.7383156903 & 15290.8520210932 \tabularnewline
0.84 & 38871.3854012546 & 17183.0144076371 \tabularnewline
0.85 & 43550.9281005876 & 19155.2585575726 \tabularnewline
0.86 & 49056.1616041362 & 21339.7587598315 \tabularnewline
0.87 & 55707.3075115517 & 24112.7357795991 \tabularnewline
0.88 & 64082.7675119327 & 28291.6146845183 \tabularnewline
0.89 & 75159.6250892541 & 35297.1533536734 \tabularnewline
0.9 & 90459.331689986 & 47013.6113974574 \tabularnewline
0.91 & 112152.953961119 & 65215.550684378 \tabularnewline
0.92 & 143082.534526875 & 90797.2049333673 \tabularnewline
0.93 & 186706.859334049 & 123057.610004837 \tabularnewline
0.94 & 247065.622137669 & 159437.975203805 \tabularnewline
0.95 & 328819.443649155 & 196639.262575264 \tabularnewline
0.96 & 436913.605089355 & 234042.065350086 \tabularnewline
0.97 & 574213.653452099 & 277934.494611575 \tabularnewline
0.98 & 734658.480282821 & 338478.740246165 \tabularnewline
0.99 & 892834.029092867 & 412562.660715348 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71079&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]-1203803.61531975[/C][C]758698.172518558[/C][/ROW]
[ROW][C]0.02[/C][C]-916064.62547396[/C][C]615670.804306805[/C][/ROW]
[ROW][C]0.03[/C][C]-634601.398799869[/C][C]467348.873297763[/C][/ROW]
[ROW][C]0.04[/C][C]-410394.951289772[/C][C]334267.342989993[/C][/ROW]
[ROW][C]0.05[/C][C]-253354.467308596[/C][C]224951.977137295[/C][/ROW]
[ROW][C]0.06[/C][C]-152435.549560286[/C][C]142359.678275145[/C][/ROW]
[ROW][C]0.07[/C][C]-91436.7048008169[/C][C]85115.7971005661[/C][/ROW]
[ROW][C]0.08[/C][C]-56226.2566947252[/C][C]48609.4986200426[/C][/ROW]
[ROW][C]0.09[/C][C]-36586.0835777236[/C][C]27027.8103543637[/C][/ROW]
[ROW][C]0.1[/C][C]-25850.4711546854[/C][C]15101.4484325091[/C][/ROW]
[ROW][C]0.11[/C][C]-19975.4904155157[/C][C]8899.95865234181[/C][/ROW]
[ROW][C]0.12[/C][C]-16651.6687283793[/C][C]5846.10633592596[/C][/ROW]
[ROW][C]0.13[/C][C]-14628.9124511561[/C][C]4392.75128976868[/C][/ROW]
[ROW][C]0.14[/C][C]-13261.5543114203[/C][C]3690.11657077047[/C][/ROW]
[ROW][C]0.15[/C][C]-12228.7532022347[/C][C]3320.67135886832[/C][/ROW]
[ROW][C]0.16[/C][C]-11375.6635107418[/C][C]3095.06000148556[/C][/ROW]
[ROW][C]0.17[/C][C]-10629.0580660378[/C][C]2927.83343606026[/C][/ROW]
[ROW][C]0.18[/C][C]-9954.82809834813[/C][C]2779.23860477519[/C][/ROW]
[ROW][C]0.19[/C][C]-9337.31882174773[/C][C]2630.85393206933[/C][/ROW]
[ROW][C]0.2[/C][C]-8769.39899695243[/C][C]2475.5387184907[/C][/ROW]
[ROW][C]0.21[/C][C]-8247.61023465013[/C][C]2312.74096123631[/C][/ROW]
[ROW][C]0.22[/C][C]-7769.69743380157[/C][C]2146.11141025109[/C][/ROW]
[ROW][C]0.23[/C][C]-7333.2860341245[/C][C]1981.95309543588[/C][/ROW]
[ROW][C]0.24[/C][C]-6935.14777423443[/C][C]1828.37594388458[/C][/ROW]
[ROW][C]0.25[/C][C]-6570.7956651777[/C][C]1694.80051405020[/C][/ROW]
[ROW][C]0.26[/C][C]-6234.28292633791[/C][C]1591.90312034292[/C][/ROW]
[ROW][C]0.27[/C][C]-5918.1475489781[/C][C]1531.41527156987[/C][/ROW]
[ROW][C]0.28[/C][C]-5613.48339741625[/C][C]1525.55015082307[/C][/ROW]
[ROW][C]0.29[/C][C]-5310.14271663083[/C][C]1585.06948891497[/C][/ROW]
[ROW][C]0.3[/C][C]-4997.08531240259[/C][C]1716.73931806285[/C][/ROW]
[ROW][C]0.31[/C][C]-4662.8858295247[/C][C]1921.30602153828[/C][/ROW]
[ROW][C]0.32[/C][C]-4296.39329779878[/C][C]2193.17010190523[/C][/ROW]
[ROW][C]0.33[/C][C]-3887.51014152083[/C][C]2521.07481462159[/C][/ROW]
[ROW][C]0.34[/C][C]-3428.02749815260[/C][C]2888.93078620325[/C][/ROW]
[ROW][C]0.35[/C][C]-2912.42770370999[/C][C]3276.65368106771[/C][/ROW]
[ROW][C]0.36[/C][C]-2338.55054329963[/C][C]3661.23561906437[/C][/ROW]
[ROW][C]0.37[/C][C]-1708.02254120231[/C][C]4018.34751707941[/C][/ROW]
[ROW][C]0.38[/C][C]-1026.36986284057[/C][C]4324.34220186249[/C][/ROW]
[ROW][C]0.39[/C][C]-302.772916745907[/C][C]4558.40541727574[/C][/ROW]
[ROW][C]0.4[/C][C]450.531631360754[/C][C]4704.5693811641[/C][/ROW]
[ROW][C]0.41[/C][C]1219.14652349481[/C][C]4753.25969078411[/C][/ROW]
[ROW][C]0.42[/C][C]1987.61065936926[/C][C]4702.12465686715[/C][/ROW]
[ROW][C]0.43[/C][C]2740.57378442070[/C][C]4556.07599633789[/C][/ROW]
[ROW][C]0.44[/C][C]3463.91905650178[/C][C]4326.51605011202[/C][/ROW]
[ROW][C]0.45[/C][C]4145.71667379686[/C][C]4029.94498457568[/C][/ROW]
[ROW][C]0.46[/C][C]4776.9217318561[/C][C]3686.15380116434[/C][/ROW]
[ROW][C]0.47[/C][C]5351.76982333255[/C][C]3316.27076452874[/C][/ROW]
[ROW][C]0.48[/C][C]5867.8667891666[/C][C]2940.96260992339[/C][/ROW]
[ROW][C]0.49[/C][C]6326.00695639374[/C][C]2578.98812372936[/C][/ROW]
[ROW][C]0.5[/C][C]6729.78141241649[/C][C]2246.21681459254[/C][/ROW]
[ROW][C]0.51[/C][C]7085.05133955585[/C][C]1955.23215594717[/C][/ROW]
[ROW][C]0.52[/C][C]7399.3611124146[/C][C]1715.31719996578[/C][/ROW]
[ROW][C]0.53[/C][C]7681.35428474764[/C][C]1532.73618111551[/C][/ROW]
[ROW][C]0.54[/C][C]7940.23705115156[/C][C]1410.85653126314[/C][/ROW]
[ROW][C]0.55[/C][C]8185.3132219136[/C][C]1349.99718621920[/C][/ROW]
[ROW][C]0.56[/C][C]8425.59675923282[/C][C]1347.20311213628[/C][/ROW]
[ROW][C]0.57[/C][C]8669.4957907928[/C][C]1396.41663440769[/C][/ROW]
[ROW][C]0.58[/C][C]8924.55725392525[/C][C]1489.40854566724[/C][/ROW]
[ROW][C]0.59[/C][C]9197.26352407005[/C][C]1616.91061691723[/C][/ROW]
[ROW][C]0.6[/C][C]9492.87949317836[/C][C]1769.31566612091[/C][/ROW]
[ROW][C]0.61[/C][C]9815.35750471044[/C][C]1937.19648499100[/C][/ROW]
[ROW][C]0.62[/C][C]10167.3150471928[/C][C]2111.56285788812[/C][/ROW]
[ROW][C]0.63[/C][C]10550.1035761582[/C][C]2284.3207517476[/C][/ROW]
[ROW][C]0.64[/C][C]10963.9851011736[/C][C]2448.85340608176[/C][/ROW]
[ROW][C]0.65[/C][C]11408.4268036625[/C][C]2600.66555765701[/C][/ROW]
[ROW][C]0.66[/C][C]11882.5150310109[/C][C]2737.97009686588[/C][/ROW]
[ROW][C]0.67[/C][C]12385.4813901454[/C][C]2862.19018988682[/C][/ROW]
[ROW][C]0.68[/C][C]12917.3277923234[/C][C]2978.30884890842[/C][/ROW]
[ROW][C]0.69[/C][C]13479.5350579948[/C][C]3095.06327087435[/C][/ROW]
[ROW][C]0.7[/C][C]14075.8396372907[/C][C]3225.12505821916[/C][/ROW]
[ROW][C]0.71[/C][C]14713.0615107120[/C][C]3385.19962357482[/C][/ROW]
[ROW][C]0.72[/C][C]15401.9587903094[/C][C]3596.15876145060[/C][/ROW]
[ROW][C]0.73[/C][C]16158.0674184821[/C][C]3882.82839077669[/C][/ROW]
[ROW][C]0.74[/C][C]17002.4575359517[/C][C]4273.11764601104[/C][/ROW]
[ROW][C]0.75[/C][C]17962.3064366766[/C][C]4796.13482897563[/C][/ROW]
[ROW][C]0.76[/C][C]19071.1614532668[/C][C]5479.18268080383[/C][/ROW]
[ROW][C]0.77[/C][C]20368.7579719229[/C][C]6344.44381649309[/C][/ROW]
[ROW][C]0.78[/C][C]21900.2830944258[/C][C]7405.45169838348[/C][/ROW]
[ROW][C]0.79[/C][C]23715.0524289509[/C][C]8664.56895973507[/C][/ROW]
[ROW][C]0.8[/C][C]25864.726718109[/C][C]10111.1905653272[/C][/ROW]
[ROW][C]0.81[/C][C]28401.4994855333[/C][C]11721.6128982581[/C][/ROW]
[ROW][C]0.82[/C][C]31377.2573717785[/C][C]13461.1597480662[/C][/ROW]
[ROW][C]0.83[/C][C]34845.7383156903[/C][C]15290.8520210932[/C][/ROW]
[ROW][C]0.84[/C][C]38871.3854012546[/C][C]17183.0144076371[/C][/ROW]
[ROW][C]0.85[/C][C]43550.9281005876[/C][C]19155.2585575726[/C][/ROW]
[ROW][C]0.86[/C][C]49056.1616041362[/C][C]21339.7587598315[/C][/ROW]
[ROW][C]0.87[/C][C]55707.3075115517[/C][C]24112.7357795991[/C][/ROW]
[ROW][C]0.88[/C][C]64082.7675119327[/C][C]28291.6146845183[/C][/ROW]
[ROW][C]0.89[/C][C]75159.6250892541[/C][C]35297.1533536734[/C][/ROW]
[ROW][C]0.9[/C][C]90459.331689986[/C][C]47013.6113974574[/C][/ROW]
[ROW][C]0.91[/C][C]112152.953961119[/C][C]65215.550684378[/C][/ROW]
[ROW][C]0.92[/C][C]143082.534526875[/C][C]90797.2049333673[/C][/ROW]
[ROW][C]0.93[/C][C]186706.859334049[/C][C]123057.610004837[/C][/ROW]
[ROW][C]0.94[/C][C]247065.622137669[/C][C]159437.975203805[/C][/ROW]
[ROW][C]0.95[/C][C]328819.443649155[/C][C]196639.262575264[/C][/ROW]
[ROW][C]0.96[/C][C]436913.605089355[/C][C]234042.065350086[/C][/ROW]
[ROW][C]0.97[/C][C]574213.653452099[/C][C]277934.494611575[/C][/ROW]
[ROW][C]0.98[/C][C]734658.480282821[/C][C]338478.740246165[/C][/ROW]
[ROW][C]0.99[/C][C]892834.029092867[/C][C]412562.660715348[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71079&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71079&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
0.01-1203803.61531975758698.172518558
0.02-916064.62547396615670.804306805
0.03-634601.398799869467348.873297763
0.04-410394.951289772334267.342989993
0.05-253354.467308596224951.977137295
0.06-152435.549560286142359.678275145
0.07-91436.704800816985115.7971005661
0.08-56226.256694725248609.4986200426
0.09-36586.083577723627027.8103543637
0.1-25850.471154685415101.4484325091
0.11-19975.49041551578899.95865234181
0.12-16651.66872837935846.10633592596
0.13-14628.91245115614392.75128976868
0.14-13261.55431142033690.11657077047
0.15-12228.75320223473320.67135886832
0.16-11375.66351074183095.06000148556
0.17-10629.05806603782927.83343606026
0.18-9954.828098348132779.23860477519
0.19-9337.318821747732630.85393206933
0.2-8769.398996952432475.5387184907
0.21-8247.610234650132312.74096123631
0.22-7769.697433801572146.11141025109
0.23-7333.28603412451981.95309543588
0.24-6935.147774234431828.37594388458
0.25-6570.79566517771694.80051405020
0.26-6234.282926337911591.90312034292
0.27-5918.14754897811531.41527156987
0.28-5613.483397416251525.55015082307
0.29-5310.142716630831585.06948891497
0.3-4997.085312402591716.73931806285
0.31-4662.88582952471921.30602153828
0.32-4296.393297798782193.17010190523
0.33-3887.510141520832521.07481462159
0.34-3428.027498152602888.93078620325
0.35-2912.427703709993276.65368106771
0.36-2338.550543299633661.23561906437
0.37-1708.022541202314018.34751707941
0.38-1026.369862840574324.34220186249
0.39-302.7729167459074558.40541727574
0.4450.5316313607544704.5693811641
0.411219.146523494814753.25969078411
0.421987.610659369264702.12465686715
0.432740.573784420704556.07599633789
0.443463.919056501784326.51605011202
0.454145.716673796864029.94498457568
0.464776.92173185613686.15380116434
0.475351.769823332553316.27076452874
0.485867.86678916662940.96260992339
0.496326.006956393742578.98812372936
0.56729.781412416492246.21681459254
0.517085.051339555851955.23215594717
0.527399.36111241461715.31719996578
0.537681.354284747641532.73618111551
0.547940.237051151561410.85653126314
0.558185.31322191361349.99718621920
0.568425.596759232821347.20311213628
0.578669.49579079281396.41663440769
0.588924.557253925251489.40854566724
0.599197.263524070051616.91061691723
0.69492.879493178361769.31566612091
0.619815.357504710441937.19648499100
0.6210167.31504719282111.56285788812
0.6310550.10357615822284.3207517476
0.6410963.98510117362448.85340608176
0.6511408.42680366252600.66555765701
0.6611882.51503101092737.97009686588
0.6712385.48139014542862.19018988682
0.6812917.32779232342978.30884890842
0.6913479.53505799483095.06327087435
0.714075.83963729073225.12505821916
0.7114713.06151071203385.19962357482
0.7215401.95879030943596.15876145060
0.7316158.06741848213882.82839077669
0.7417002.45753595174273.11764601104
0.7517962.30643667664796.13482897563
0.7619071.16145326685479.18268080383
0.7720368.75797192296344.44381649309
0.7821900.28309442587405.45169838348
0.7923715.05242895098664.56895973507
0.825864.72671810910111.1905653272
0.8128401.499485533311721.6128982581
0.8231377.257371778513461.1597480662
0.8334845.738315690315290.8520210932
0.8438871.385401254617183.0144076371
0.8543550.928100587619155.2585575726
0.8649056.161604136221339.7587598315
0.8755707.307511551724112.7357795991
0.8864082.767511932728291.6146845183
0.8975159.625089254135297.1533536734
0.990459.33168998647013.6113974574
0.91112152.95396111965215.550684378
0.92143082.53452687590797.2049333673
0.93186706.859334049123057.610004837
0.94247065.622137669159437.975203805
0.95328819.443649155196639.262575264
0.96436913.605089355234042.065350086
0.97574213.653452099277934.494611575
0.98734658.480282821338478.740246165
0.99892834.029092867412562.660715348


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')