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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 computationSun, 07 Dec 2008 12:02:20 -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/2008/Dec/07/t1228676566dx47yfu01pkie3k.htm/, Retrieved Fri, 17 May 2024 01:41:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=30251, Retrieved Fri, 17 May 2024 01:41:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean versus Median] [Totale Invoer naa...] [2008-12-07 18:21:05] [299afd6311e4c20059ea2f05c8dd029d]
- RM D  [Variability] [Totale Invoer naa...] [2008-12-07 18:28:38] [299afd6311e4c20059ea2f05c8dd029d]
- RMP     [Stem-and-leaf Plot] [Totale Invoer naa...] [2008-12-07 18:32:41] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD      [Quartiles] [Totale Invoer naa...] [2008-12-07 18:52:56] [299afd6311e4c20059ea2f05c8dd029d]
- RM D          [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:02:20] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
-                 [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:05:56] [299afd6311e4c20059ea2f05c8dd029d]
- RM D            [Pearson Correlation] [Totale Uitvoer vs...] [2008-12-07 19:10:32] [299afd6311e4c20059ea2f05c8dd029d]
- RM D              [Kendall tau Rank Correlation] [Totale Uitvoer vs...] [2008-12-07 19:18:32] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD              [Univariate Explorative Data Analysis] [Totale Uitvoer (2...] [2008-12-17 14:52:16] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD              [Univariate Explorative Data Analysis] [Totale invoer naa...] [2008-12-17 14:56:01] [299afd6311e4c20059ea2f05c8dd029d]
-  MPD              [Pearson Correlation] [] [2010-12-20 11:15:41] [1908ef7bb1a3d37a854f5aaad1a1c348]
-  MPD              [Pearson Correlation] [] [2010-12-20 11:17:27] [1908ef7bb1a3d37a854f5aaad1a1c348]
-  MPD              [Pearson Correlation] [] [2010-12-20 11:18:50] [1908ef7bb1a3d37a854f5aaad1a1c348]
-  MPD              [Pearson Correlation] [Correlatie Oliepr...] [2010-12-21 12:13:11] [ae68acb0755efbaaf8db92ef09a2ce40]
- RM D            [Pearson Correlation] [Totale Uitvoer vs...] [2008-12-07 19:12:59] [299afd6311e4c20059ea2f05c8dd029d]
- RM D            [Pearson Correlation] [Totale Invoer vs ...] [2008-12-07 19:14:51] [299afd6311e4c20059ea2f05c8dd029d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13429.9
13470.1
14785.8
14292
14308.8
14013
13240.9
12153.4
14289.7
15669.2
14169.5
14569.8
14469.1
14264.9
15320.9
14433.5
13691.5
14194.1
13519.2
11857.9
14616
15643.4
14077.2
14887.5
14159.9
14643
17192.5
15386.1
14287.1
17526.6
14497
14398.3
16629.6
16670.7
16614.8
16869.2
15663.9
16359.9
18447.7
16889
16505
18320.9
15052.1
15699.8
18135.3
16768.7
18883
19021
18101.9
17776.1
21489.9
17065.3
18690
18953.1
16398.9
16895.7
18553
19270
19422.1
17579.4
18637.3
18076.7
20438.6
18075.2
19563
19899.2
19227.5
17789.6
19220.8
21968.9
21131.5
19484.6

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30251&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30251&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112022.5449839232451.831564809709
0.0212312.4848308742611.931520539456
0.0312644.7740356000625.970189507534
0.0412948.4449786935526.258172016774
0.0513191.4266481662404.233553071402
0.0613374.5455659212320.346338649015
0.0713514.1208937371285.693275614379
0.0813627.5465313828279.796116110522
0.0913726.5438454115279.560485425549
0.113816.4967339843272.500049868094
0.1113898.5605489861255.390584846284
0.1213972.1012384287230.245695489209
0.1314036.3826933726201.323090599115
0.1414091.3458820258172.836439867854
0.1514137.7281617146147.966049145926
0.1614176.8458341913128.423280790202
0.1714210.2890465925114.781347863814
0.1814239.6675632939106.777436534749
0.1914266.4541014938103.847353530053
0.214291.9172028428105.241646576023
0.2114317.1147991885110.328111667798
0.2214342.9201958738118.552731212379
0.2314370.0611738526129.488883495095
0.2414399.1616118057142.938534218641
0.2514430.7799720360158.922552145571
0.2614465.4405056347177.490666064541
0.2714503.6531100822198.832709186299
0.2814545.9183329385223.030685308832
0.2914592.715984079249.984920822972
0.314644.4790065921279.364383837718
0.3114701.5577251602310.558638038334
0.3214764.1821867487342.736468955079
0.3314832.4311285235374.90709394519
0.3414906.2147886185406.033947623563
0.3514985.2755824747435.162529978025
0.3615069.2064102348461.568531791369
0.3715157.4821713656484.725111972115
0.3815249.4970932051504.38764114057
0.3915344.5995816583520.549147396107
0.415442.1177680486533.197557730013
0.4115541.3723763253542.396180963098
0.4215641.6779934371548.083479370978
0.4315742.3379849075550.039279645582
0.4415842.6409005075548.02277547638
0.4515941.8664383412541.759016999355
0.4616039.3067474033531.185356548795
0.4716134.3046491592516.509273326147
0.4816226.3053927438498.363101683826
0.4916314.9141629978477.775770830618
0.516399.9488712987456.155019492558
0.5116481.4774064772435.200852809795
0.5216559.8305093977416.618609801011
0.5316635.5852104767401.99257532981
0.5416709.5184547916392.565624096125
0.5516782.5351950698388.978309694573
0.5616855.5790819223391.223676517132
0.5716929.5364245479398.561329061461
0.5817005.1451175129409.701604928265
0.5917082.9197296732422.959178298393
0.617163.1020653526436.487391924101
0.6117245.6434580799448.514655952682
0.6217330.2211477595457.528754926281
0.6317416.2867286968462.352909339368
0.6417503.1403555902462.426832570386
0.6517590.0207578586457.720745570533
0.6617676.1987456543448.661848707104
0.6717761.0612901048436.225548834796
0.6817844.1746853039421.626265885924
0.6917925.3186661263406.234734077785
0.718004.4881822831391.336116356141
0.7118081.8649648168377.955033205174
0.7218157.765980692366.703997781819
0.7318232.5792700226357.719169155904
0.7418306.6987183813350.816939330782
0.7518380.4678404249345.445888447541
0.7618454.1391849208340.937309174295
0.7718527.8517122279336.625485796060
0.7818601.6249449516331.951419737874
0.7918675.3671298257326.401540528828
0.818748.8956214826319.608006855123
0.8118821.9707778572311.341333309956
0.8218894.3486317482301.545114212562
0.8318965.8610845085290.426812803615
0.8419036.5344655803278.627724777718
0.8519106.7577689413267.33628026223
0.8619177.5101327646258.499231166457
0.8719250.6501462927255.002976109722
0.8819329.2498750063260.817809235529
0.8919417.9129655573280.721420397415
0.919522.9410117458319.406447141202
0.9119652.1164269071379.499459965723
0.9219813.8055678127459.135999553459
0.9320015.166355882549.59278461056
0.9420259.6273828100633.861642301478
0.9520544.5362031533688.115282204759
0.9620860.4388108275689.081355072977
0.9721192.2315249264629.085264008575
0.9821517.9194960394535.834818475453
0.9921798.2365920772474.300900178291

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12022.5449839232 & 451.831564809709 \tabularnewline
0.02 & 12312.4848308742 & 611.931520539456 \tabularnewline
0.03 & 12644.7740356000 & 625.970189507534 \tabularnewline
0.04 & 12948.4449786935 & 526.258172016774 \tabularnewline
0.05 & 13191.4266481662 & 404.233553071402 \tabularnewline
0.06 & 13374.5455659212 & 320.346338649015 \tabularnewline
0.07 & 13514.1208937371 & 285.693275614379 \tabularnewline
0.08 & 13627.5465313828 & 279.796116110522 \tabularnewline
0.09 & 13726.5438454115 & 279.560485425549 \tabularnewline
0.1 & 13816.4967339843 & 272.500049868094 \tabularnewline
0.11 & 13898.5605489861 & 255.390584846284 \tabularnewline
0.12 & 13972.1012384287 & 230.245695489209 \tabularnewline
0.13 & 14036.3826933726 & 201.323090599115 \tabularnewline
0.14 & 14091.3458820258 & 172.836439867854 \tabularnewline
0.15 & 14137.7281617146 & 147.966049145926 \tabularnewline
0.16 & 14176.8458341913 & 128.423280790202 \tabularnewline
0.17 & 14210.2890465925 & 114.781347863814 \tabularnewline
0.18 & 14239.6675632939 & 106.777436534749 \tabularnewline
0.19 & 14266.4541014938 & 103.847353530053 \tabularnewline
0.2 & 14291.9172028428 & 105.241646576023 \tabularnewline
0.21 & 14317.1147991885 & 110.328111667798 \tabularnewline
0.22 & 14342.9201958738 & 118.552731212379 \tabularnewline
0.23 & 14370.0611738526 & 129.488883495095 \tabularnewline
0.24 & 14399.1616118057 & 142.938534218641 \tabularnewline
0.25 & 14430.7799720360 & 158.922552145571 \tabularnewline
0.26 & 14465.4405056347 & 177.490666064541 \tabularnewline
0.27 & 14503.6531100822 & 198.832709186299 \tabularnewline
0.28 & 14545.9183329385 & 223.030685308832 \tabularnewline
0.29 & 14592.715984079 & 249.984920822972 \tabularnewline
0.3 & 14644.4790065921 & 279.364383837718 \tabularnewline
0.31 & 14701.5577251602 & 310.558638038334 \tabularnewline
0.32 & 14764.1821867487 & 342.736468955079 \tabularnewline
0.33 & 14832.4311285235 & 374.90709394519 \tabularnewline
0.34 & 14906.2147886185 & 406.033947623563 \tabularnewline
0.35 & 14985.2755824747 & 435.162529978025 \tabularnewline
0.36 & 15069.2064102348 & 461.568531791369 \tabularnewline
0.37 & 15157.4821713656 & 484.725111972115 \tabularnewline
0.38 & 15249.4970932051 & 504.38764114057 \tabularnewline
0.39 & 15344.5995816583 & 520.549147396107 \tabularnewline
0.4 & 15442.1177680486 & 533.197557730013 \tabularnewline
0.41 & 15541.3723763253 & 542.396180963098 \tabularnewline
0.42 & 15641.6779934371 & 548.083479370978 \tabularnewline
0.43 & 15742.3379849075 & 550.039279645582 \tabularnewline
0.44 & 15842.6409005075 & 548.02277547638 \tabularnewline
0.45 & 15941.8664383412 & 541.759016999355 \tabularnewline
0.46 & 16039.3067474033 & 531.185356548795 \tabularnewline
0.47 & 16134.3046491592 & 516.509273326147 \tabularnewline
0.48 & 16226.3053927438 & 498.363101683826 \tabularnewline
0.49 & 16314.9141629978 & 477.775770830618 \tabularnewline
0.5 & 16399.9488712987 & 456.155019492558 \tabularnewline
0.51 & 16481.4774064772 & 435.200852809795 \tabularnewline
0.52 & 16559.8305093977 & 416.618609801011 \tabularnewline
0.53 & 16635.5852104767 & 401.99257532981 \tabularnewline
0.54 & 16709.5184547916 & 392.565624096125 \tabularnewline
0.55 & 16782.5351950698 & 388.978309694573 \tabularnewline
0.56 & 16855.5790819223 & 391.223676517132 \tabularnewline
0.57 & 16929.5364245479 & 398.561329061461 \tabularnewline
0.58 & 17005.1451175129 & 409.701604928265 \tabularnewline
0.59 & 17082.9197296732 & 422.959178298393 \tabularnewline
0.6 & 17163.1020653526 & 436.487391924101 \tabularnewline
0.61 & 17245.6434580799 & 448.514655952682 \tabularnewline
0.62 & 17330.2211477595 & 457.528754926281 \tabularnewline
0.63 & 17416.2867286968 & 462.352909339368 \tabularnewline
0.64 & 17503.1403555902 & 462.426832570386 \tabularnewline
0.65 & 17590.0207578586 & 457.720745570533 \tabularnewline
0.66 & 17676.1987456543 & 448.661848707104 \tabularnewline
0.67 & 17761.0612901048 & 436.225548834796 \tabularnewline
0.68 & 17844.1746853039 & 421.626265885924 \tabularnewline
0.69 & 17925.3186661263 & 406.234734077785 \tabularnewline
0.7 & 18004.4881822831 & 391.336116356141 \tabularnewline
0.71 & 18081.8649648168 & 377.955033205174 \tabularnewline
0.72 & 18157.765980692 & 366.703997781819 \tabularnewline
0.73 & 18232.5792700226 & 357.719169155904 \tabularnewline
0.74 & 18306.6987183813 & 350.816939330782 \tabularnewline
0.75 & 18380.4678404249 & 345.445888447541 \tabularnewline
0.76 & 18454.1391849208 & 340.937309174295 \tabularnewline
0.77 & 18527.8517122279 & 336.625485796060 \tabularnewline
0.78 & 18601.6249449516 & 331.951419737874 \tabularnewline
0.79 & 18675.3671298257 & 326.401540528828 \tabularnewline
0.8 & 18748.8956214826 & 319.608006855123 \tabularnewline
0.81 & 18821.9707778572 & 311.341333309956 \tabularnewline
0.82 & 18894.3486317482 & 301.545114212562 \tabularnewline
0.83 & 18965.8610845085 & 290.426812803615 \tabularnewline
0.84 & 19036.5344655803 & 278.627724777718 \tabularnewline
0.85 & 19106.7577689413 & 267.33628026223 \tabularnewline
0.86 & 19177.5101327646 & 258.499231166457 \tabularnewline
0.87 & 19250.6501462927 & 255.002976109722 \tabularnewline
0.88 & 19329.2498750063 & 260.817809235529 \tabularnewline
0.89 & 19417.9129655573 & 280.721420397415 \tabularnewline
0.9 & 19522.9410117458 & 319.406447141202 \tabularnewline
0.91 & 19652.1164269071 & 379.499459965723 \tabularnewline
0.92 & 19813.8055678127 & 459.135999553459 \tabularnewline
0.93 & 20015.166355882 & 549.59278461056 \tabularnewline
0.94 & 20259.6273828100 & 633.861642301478 \tabularnewline
0.95 & 20544.5362031533 & 688.115282204759 \tabularnewline
0.96 & 20860.4388108275 & 689.081355072977 \tabularnewline
0.97 & 21192.2315249264 & 629.085264008575 \tabularnewline
0.98 & 21517.9194960394 & 535.834818475453 \tabularnewline
0.99 & 21798.2365920772 & 474.300900178291 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=30251&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]12022.5449839232[/C][C]451.831564809709[/C][/ROW]
[ROW][C]0.02[/C][C]12312.4848308742[/C][C]611.931520539456[/C][/ROW]
[ROW][C]0.03[/C][C]12644.7740356000[/C][C]625.970189507534[/C][/ROW]
[ROW][C]0.04[/C][C]12948.4449786935[/C][C]526.258172016774[/C][/ROW]
[ROW][C]0.05[/C][C]13191.4266481662[/C][C]404.233553071402[/C][/ROW]
[ROW][C]0.06[/C][C]13374.5455659212[/C][C]320.346338649015[/C][/ROW]
[ROW][C]0.07[/C][C]13514.1208937371[/C][C]285.693275614379[/C][/ROW]
[ROW][C]0.08[/C][C]13627.5465313828[/C][C]279.796116110522[/C][/ROW]
[ROW][C]0.09[/C][C]13726.5438454115[/C][C]279.560485425549[/C][/ROW]
[ROW][C]0.1[/C][C]13816.4967339843[/C][C]272.500049868094[/C][/ROW]
[ROW][C]0.11[/C][C]13898.5605489861[/C][C]255.390584846284[/C][/ROW]
[ROW][C]0.12[/C][C]13972.1012384287[/C][C]230.245695489209[/C][/ROW]
[ROW][C]0.13[/C][C]14036.3826933726[/C][C]201.323090599115[/C][/ROW]
[ROW][C]0.14[/C][C]14091.3458820258[/C][C]172.836439867854[/C][/ROW]
[ROW][C]0.15[/C][C]14137.7281617146[/C][C]147.966049145926[/C][/ROW]
[ROW][C]0.16[/C][C]14176.8458341913[/C][C]128.423280790202[/C][/ROW]
[ROW][C]0.17[/C][C]14210.2890465925[/C][C]114.781347863814[/C][/ROW]
[ROW][C]0.18[/C][C]14239.6675632939[/C][C]106.777436534749[/C][/ROW]
[ROW][C]0.19[/C][C]14266.4541014938[/C][C]103.847353530053[/C][/ROW]
[ROW][C]0.2[/C][C]14291.9172028428[/C][C]105.241646576023[/C][/ROW]
[ROW][C]0.21[/C][C]14317.1147991885[/C][C]110.328111667798[/C][/ROW]
[ROW][C]0.22[/C][C]14342.9201958738[/C][C]118.552731212379[/C][/ROW]
[ROW][C]0.23[/C][C]14370.0611738526[/C][C]129.488883495095[/C][/ROW]
[ROW][C]0.24[/C][C]14399.1616118057[/C][C]142.938534218641[/C][/ROW]
[ROW][C]0.25[/C][C]14430.7799720360[/C][C]158.922552145571[/C][/ROW]
[ROW][C]0.26[/C][C]14465.4405056347[/C][C]177.490666064541[/C][/ROW]
[ROW][C]0.27[/C][C]14503.6531100822[/C][C]198.832709186299[/C][/ROW]
[ROW][C]0.28[/C][C]14545.9183329385[/C][C]223.030685308832[/C][/ROW]
[ROW][C]0.29[/C][C]14592.715984079[/C][C]249.984920822972[/C][/ROW]
[ROW][C]0.3[/C][C]14644.4790065921[/C][C]279.364383837718[/C][/ROW]
[ROW][C]0.31[/C][C]14701.5577251602[/C][C]310.558638038334[/C][/ROW]
[ROW][C]0.32[/C][C]14764.1821867487[/C][C]342.736468955079[/C][/ROW]
[ROW][C]0.33[/C][C]14832.4311285235[/C][C]374.90709394519[/C][/ROW]
[ROW][C]0.34[/C][C]14906.2147886185[/C][C]406.033947623563[/C][/ROW]
[ROW][C]0.35[/C][C]14985.2755824747[/C][C]435.162529978025[/C][/ROW]
[ROW][C]0.36[/C][C]15069.2064102348[/C][C]461.568531791369[/C][/ROW]
[ROW][C]0.37[/C][C]15157.4821713656[/C][C]484.725111972115[/C][/ROW]
[ROW][C]0.38[/C][C]15249.4970932051[/C][C]504.38764114057[/C][/ROW]
[ROW][C]0.39[/C][C]15344.5995816583[/C][C]520.549147396107[/C][/ROW]
[ROW][C]0.4[/C][C]15442.1177680486[/C][C]533.197557730013[/C][/ROW]
[ROW][C]0.41[/C][C]15541.3723763253[/C][C]542.396180963098[/C][/ROW]
[ROW][C]0.42[/C][C]15641.6779934371[/C][C]548.083479370978[/C][/ROW]
[ROW][C]0.43[/C][C]15742.3379849075[/C][C]550.039279645582[/C][/ROW]
[ROW][C]0.44[/C][C]15842.6409005075[/C][C]548.02277547638[/C][/ROW]
[ROW][C]0.45[/C][C]15941.8664383412[/C][C]541.759016999355[/C][/ROW]
[ROW][C]0.46[/C][C]16039.3067474033[/C][C]531.185356548795[/C][/ROW]
[ROW][C]0.47[/C][C]16134.3046491592[/C][C]516.509273326147[/C][/ROW]
[ROW][C]0.48[/C][C]16226.3053927438[/C][C]498.363101683826[/C][/ROW]
[ROW][C]0.49[/C][C]16314.9141629978[/C][C]477.775770830618[/C][/ROW]
[ROW][C]0.5[/C][C]16399.9488712987[/C][C]456.155019492558[/C][/ROW]
[ROW][C]0.51[/C][C]16481.4774064772[/C][C]435.200852809795[/C][/ROW]
[ROW][C]0.52[/C][C]16559.8305093977[/C][C]416.618609801011[/C][/ROW]
[ROW][C]0.53[/C][C]16635.5852104767[/C][C]401.99257532981[/C][/ROW]
[ROW][C]0.54[/C][C]16709.5184547916[/C][C]392.565624096125[/C][/ROW]
[ROW][C]0.55[/C][C]16782.5351950698[/C][C]388.978309694573[/C][/ROW]
[ROW][C]0.56[/C][C]16855.5790819223[/C][C]391.223676517132[/C][/ROW]
[ROW][C]0.57[/C][C]16929.5364245479[/C][C]398.561329061461[/C][/ROW]
[ROW][C]0.58[/C][C]17005.1451175129[/C][C]409.701604928265[/C][/ROW]
[ROW][C]0.59[/C][C]17082.9197296732[/C][C]422.959178298393[/C][/ROW]
[ROW][C]0.6[/C][C]17163.1020653526[/C][C]436.487391924101[/C][/ROW]
[ROW][C]0.61[/C][C]17245.6434580799[/C][C]448.514655952682[/C][/ROW]
[ROW][C]0.62[/C][C]17330.2211477595[/C][C]457.528754926281[/C][/ROW]
[ROW][C]0.63[/C][C]17416.2867286968[/C][C]462.352909339368[/C][/ROW]
[ROW][C]0.64[/C][C]17503.1403555902[/C][C]462.426832570386[/C][/ROW]
[ROW][C]0.65[/C][C]17590.0207578586[/C][C]457.720745570533[/C][/ROW]
[ROW][C]0.66[/C][C]17676.1987456543[/C][C]448.661848707104[/C][/ROW]
[ROW][C]0.67[/C][C]17761.0612901048[/C][C]436.225548834796[/C][/ROW]
[ROW][C]0.68[/C][C]17844.1746853039[/C][C]421.626265885924[/C][/ROW]
[ROW][C]0.69[/C][C]17925.3186661263[/C][C]406.234734077785[/C][/ROW]
[ROW][C]0.7[/C][C]18004.4881822831[/C][C]391.336116356141[/C][/ROW]
[ROW][C]0.71[/C][C]18081.8649648168[/C][C]377.955033205174[/C][/ROW]
[ROW][C]0.72[/C][C]18157.765980692[/C][C]366.703997781819[/C][/ROW]
[ROW][C]0.73[/C][C]18232.5792700226[/C][C]357.719169155904[/C][/ROW]
[ROW][C]0.74[/C][C]18306.6987183813[/C][C]350.816939330782[/C][/ROW]
[ROW][C]0.75[/C][C]18380.4678404249[/C][C]345.445888447541[/C][/ROW]
[ROW][C]0.76[/C][C]18454.1391849208[/C][C]340.937309174295[/C][/ROW]
[ROW][C]0.77[/C][C]18527.8517122279[/C][C]336.625485796060[/C][/ROW]
[ROW][C]0.78[/C][C]18601.6249449516[/C][C]331.951419737874[/C][/ROW]
[ROW][C]0.79[/C][C]18675.3671298257[/C][C]326.401540528828[/C][/ROW]
[ROW][C]0.8[/C][C]18748.8956214826[/C][C]319.608006855123[/C][/ROW]
[ROW][C]0.81[/C][C]18821.9707778572[/C][C]311.341333309956[/C][/ROW]
[ROW][C]0.82[/C][C]18894.3486317482[/C][C]301.545114212562[/C][/ROW]
[ROW][C]0.83[/C][C]18965.8610845085[/C][C]290.426812803615[/C][/ROW]
[ROW][C]0.84[/C][C]19036.5344655803[/C][C]278.627724777718[/C][/ROW]
[ROW][C]0.85[/C][C]19106.7577689413[/C][C]267.33628026223[/C][/ROW]
[ROW][C]0.86[/C][C]19177.5101327646[/C][C]258.499231166457[/C][/ROW]
[ROW][C]0.87[/C][C]19250.6501462927[/C][C]255.002976109722[/C][/ROW]
[ROW][C]0.88[/C][C]19329.2498750063[/C][C]260.817809235529[/C][/ROW]
[ROW][C]0.89[/C][C]19417.9129655573[/C][C]280.721420397415[/C][/ROW]
[ROW][C]0.9[/C][C]19522.9410117458[/C][C]319.406447141202[/C][/ROW]
[ROW][C]0.91[/C][C]19652.1164269071[/C][C]379.499459965723[/C][/ROW]
[ROW][C]0.92[/C][C]19813.8055678127[/C][C]459.135999553459[/C][/ROW]
[ROW][C]0.93[/C][C]20015.166355882[/C][C]549.59278461056[/C][/ROW]
[ROW][C]0.94[/C][C]20259.6273828100[/C][C]633.861642301478[/C][/ROW]
[ROW][C]0.95[/C][C]20544.5362031533[/C][C]688.115282204759[/C][/ROW]
[ROW][C]0.96[/C][C]20860.4388108275[/C][C]689.081355072977[/C][/ROW]
[ROW][C]0.97[/C][C]21192.2315249264[/C][C]629.085264008575[/C][/ROW]
[ROW][C]0.98[/C][C]21517.9194960394[/C][C]535.834818475453[/C][/ROW]
[ROW][C]0.99[/C][C]21798.2365920772[/C][C]474.300900178291[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=30251&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=30251&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
0.0112022.5449839232451.831564809709
0.0212312.4848308742611.931520539456
0.0312644.7740356000625.970189507534
0.0412948.4449786935526.258172016774
0.0513191.4266481662404.233553071402
0.0613374.5455659212320.346338649015
0.0713514.1208937371285.693275614379
0.0813627.5465313828279.796116110522
0.0913726.5438454115279.560485425549
0.113816.4967339843272.500049868094
0.1113898.5605489861255.390584846284
0.1213972.1012384287230.245695489209
0.1314036.3826933726201.323090599115
0.1414091.3458820258172.836439867854
0.1514137.7281617146147.966049145926
0.1614176.8458341913128.423280790202
0.1714210.2890465925114.781347863814
0.1814239.6675632939106.777436534749
0.1914266.4541014938103.847353530053
0.214291.9172028428105.241646576023
0.2114317.1147991885110.328111667798
0.2214342.9201958738118.552731212379
0.2314370.0611738526129.488883495095
0.2414399.1616118057142.938534218641
0.2514430.7799720360158.922552145571
0.2614465.4405056347177.490666064541
0.2714503.6531100822198.832709186299
0.2814545.9183329385223.030685308832
0.2914592.715984079249.984920822972
0.314644.4790065921279.364383837718
0.3114701.5577251602310.558638038334
0.3214764.1821867487342.736468955079
0.3314832.4311285235374.90709394519
0.3414906.2147886185406.033947623563
0.3514985.2755824747435.162529978025
0.3615069.2064102348461.568531791369
0.3715157.4821713656484.725111972115
0.3815249.4970932051504.38764114057
0.3915344.5995816583520.549147396107
0.415442.1177680486533.197557730013
0.4115541.3723763253542.396180963098
0.4215641.6779934371548.083479370978
0.4315742.3379849075550.039279645582
0.4415842.6409005075548.02277547638
0.4515941.8664383412541.759016999355
0.4616039.3067474033531.185356548795
0.4716134.3046491592516.509273326147
0.4816226.3053927438498.363101683826
0.4916314.9141629978477.775770830618
0.516399.9488712987456.155019492558
0.5116481.4774064772435.200852809795
0.5216559.8305093977416.618609801011
0.5316635.5852104767401.99257532981
0.5416709.5184547916392.565624096125
0.5516782.5351950698388.978309694573
0.5616855.5790819223391.223676517132
0.5716929.5364245479398.561329061461
0.5817005.1451175129409.701604928265
0.5917082.9197296732422.959178298393
0.617163.1020653526436.487391924101
0.6117245.6434580799448.514655952682
0.6217330.2211477595457.528754926281
0.6317416.2867286968462.352909339368
0.6417503.1403555902462.426832570386
0.6517590.0207578586457.720745570533
0.6617676.1987456543448.661848707104
0.6717761.0612901048436.225548834796
0.6817844.1746853039421.626265885924
0.6917925.3186661263406.234734077785
0.718004.4881822831391.336116356141
0.7118081.8649648168377.955033205174
0.7218157.765980692366.703997781819
0.7318232.5792700226357.719169155904
0.7418306.6987183813350.816939330782
0.7518380.4678404249345.445888447541
0.7618454.1391849208340.937309174295
0.7718527.8517122279336.625485796060
0.7818601.6249449516331.951419737874
0.7918675.3671298257326.401540528828
0.818748.8956214826319.608006855123
0.8118821.9707778572311.341333309956
0.8218894.3486317482301.545114212562
0.8318965.8610845085290.426812803615
0.8419036.5344655803278.627724777718
0.8519106.7577689413267.33628026223
0.8619177.5101327646258.499231166457
0.8719250.6501462927255.002976109722
0.8819329.2498750063260.817809235529
0.8919417.9129655573280.721420397415
0.919522.9410117458319.406447141202
0.9119652.1164269071379.499459965723
0.9219813.8055678127459.135999553459
0.9320015.166355882549.59278461056
0.9420259.6273828100633.861642301478
0.9520544.5362031533688.115282204759
0.9620860.4388108275689.081355072977
0.9721192.2315249264629.085264008575
0.9821517.9194960394535.834818475453
0.9921798.2365920772474.300900178291


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')