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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 computationThu, 12 Feb 2015 21:42:30 +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/2015/Feb/12/t1423777460xftizcthkm14p92.htm/, Retrieved Sat, 15 Aug 2026 14:51:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277334, Retrieved Sat, 15 Aug 2026 14:51:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact324

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] [] [2015-02-12 21:42:30] [9c6f291f5313961eaf08153dbee9a7d3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12374.6
12864.7
14905.8
12259.7
14088.9
14243.7
12732.8
11612
14176.6
14452.6
14512.7
12645.1
13820.5
13644.7
15684.1
13568.3
14531.1
15320.1
14344.2
12899.4
14462
16044.7
14731.2
12798.3
14213.1
14683.3
14652
15623.1
14880.4
15765.7
15433.1
12402.6
15639.8
14861.7
11699.4
10651.9
10086.9
10676.9
11332.1
10756.1
10450.5
11930.2
11419.9
9713.1
12608.5
12357.2
12107.9
11627.2
11105.9
11841.6
14290.8
13271.7
12909.4
14924.1
13257.4
12184.4
15035.5
14401
14165
13375.6
14210.8
15017.5
17157.8
15106.2
16696.1
16035.9
15418.9
13763.9
15595.2
15183.1
15515.9
14142.8
15012.7
16293.2
17771.4
15582.8
16049.9
16105.8
15623.6
14254.9
15266.8
16671
15665.4
13949.5
15146.9
15172.9
16981.4
16553.8
16438.5
15895.1
16989
13803.5
16678.3
17315.1
15895.4
14912.1

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277334&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277334&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019901.52864627952354.533587707106
0.0210169.7455867166333.930010068288
0.0310410.6365581161302.362843948422
0.0410605.8963565563292.243827542199
0.0510773.7447934778316.032769323407
0.0610931.671206123348.838132855384
0.0711086.262987807366.943447949584
0.0811235.818630844364.582840404555
0.0911376.2842928081349.080755724857
0.111505.3451819818331.254668941826
0.1111623.3980113092318.369163471589
0.1211732.5441906389312.114941708035
0.1311835.1726582731310.201581160664
0.1411933.0558774085309.399210059423
0.1512027.1397069058307.579388830993
0.1612117.7921636304.311738770654
0.1712205.1895281471300.476648133097
0.1812289.6148869042297.532180394468
0.1912371.5871374436296.752203396222
0.212451.8461365756298.909987490863
0.2112531.2642385164304.301605282807
0.2212610.7461419821312.882611670642
0.2312691.1460177014324.501330836055
0.2412773.2010266619338.733215910609
0.2512857.4686588553354.828268451764
0.2612944.2616841141371.5636201204
0.2713033.5887283411387.394707068156
0.2813125.1187177179400.618881118107
0.2913218.1868790948409.665535277933
0.313311.8492613668413.440160384843
0.3113404.9779020971411.362305961569
0.3213496.3771076398403.46528005037
0.3313584.8975688404390.273404746032
0.3413669.5296050385372.636972086095
0.3513749.4664519635351.588300796712
0.3613824.1384221725328.236835299775
0.3713893.2250868848303.637074840374
0.3813956.6538415128278.878446508287
0.3914014.5903321495255.024190816026
0.414067.4218012099233.086312370816
0.4114115.7311348404214.012306461979
0.4214160.2588445609198.636474900692
0.4314201.852377363187.493685869594
0.4414241.4057070811180.770254996209
0.4514279.7953165249178.227555168859
0.4614317.8200453067179.338233884277
0.4714356.1514355859183.275032351625
0.4814395.2987501847189.104248609697
0.4914435.5899449288195.918715161507
0.514477.1676899419202.784161265057
0.5114519.9986315399208.955410926744
0.5214563.8942912861213.674182790443
0.5314608.5425696121216.465374713035
0.5414653.5488975171216.979140217127
0.5514698.485158229215.169986544206
0.5614742.9427117056211.274658741229
0.5714786.5839114151205.730175149373
0.5814829.1853544432199.227198291139
0.5914870.6664697322192.585583915237
0.614911.099048782186.581980308231
0.6114950.6964139356181.898645719565
0.6214989.7841390292179.057029970281
0.6315028.7566575444178.265474580032
0.6415068.0252482014179.450705228025
0.6515107.9629585418182.299409542243
0.6615148.8516868128186.238623537281
0.6715190.8366320264190.486006308731
0.6815233.8939662767194.212084761371
0.6915277.8184970661196.541721183386
0.715322.2382342831196.712248683357
0.7115366.6608871597194.230917668895
0.7215410.552514585189.033430489255
0.7315453.4409530576181.525469153384
0.7415495.0277017212172.642312017898
0.7515535.2843733241163.779466641236
0.7615574.507062474156.520954502207
0.7715613.3071688003152.369694144956
0.7815652.5317593679152.262763317673
0.7915693.1286561169156.273197335322
0.815735.9950145537163.545991656425
0.8115781.8631803976172.720242906318
0.8215831.2727330455182.479715388787
0.8315884.6457102149192.188846155198
0.8415942.4273763062202.089881345097
0.8516005.1987871926213.11074796227
0.8616073.6458905761225.955410432609
0.8716148.3189643238240.01187048111
0.8816229.2441543312252.71070887531
0.8916315.6072844137260.25496656848
0.916405.8075060182259.518627992365
0.9116498.0490906588250.220875695095
0.9216591.2840449445236.070140083428
0.9316685.9582547119223.139399656894
0.9416784.091078027215.358111947286
0.9516889.0557698101211.439229420397
0.9617006.7523913487209.436250650627
0.9717150.0506152239215.87425228346
0.9817341.0264238408253.535125973473
0.9917581.213685492348.988075566495

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9901.52864627952 & 354.533587707106 \tabularnewline
0.02 & 10169.7455867166 & 333.930010068288 \tabularnewline
0.03 & 10410.6365581161 & 302.362843948422 \tabularnewline
0.04 & 10605.8963565563 & 292.243827542199 \tabularnewline
0.05 & 10773.7447934778 & 316.032769323407 \tabularnewline
0.06 & 10931.671206123 & 348.838132855384 \tabularnewline
0.07 & 11086.262987807 & 366.943447949584 \tabularnewline
0.08 & 11235.818630844 & 364.582840404555 \tabularnewline
0.09 & 11376.2842928081 & 349.080755724857 \tabularnewline
0.1 & 11505.3451819818 & 331.254668941826 \tabularnewline
0.11 & 11623.3980113092 & 318.369163471589 \tabularnewline
0.12 & 11732.5441906389 & 312.114941708035 \tabularnewline
0.13 & 11835.1726582731 & 310.201581160664 \tabularnewline
0.14 & 11933.0558774085 & 309.399210059423 \tabularnewline
0.15 & 12027.1397069058 & 307.579388830993 \tabularnewline
0.16 & 12117.7921636 & 304.311738770654 \tabularnewline
0.17 & 12205.1895281471 & 300.476648133097 \tabularnewline
0.18 & 12289.6148869042 & 297.532180394468 \tabularnewline
0.19 & 12371.5871374436 & 296.752203396222 \tabularnewline
0.2 & 12451.8461365756 & 298.909987490863 \tabularnewline
0.21 & 12531.2642385164 & 304.301605282807 \tabularnewline
0.22 & 12610.7461419821 & 312.882611670642 \tabularnewline
0.23 & 12691.1460177014 & 324.501330836055 \tabularnewline
0.24 & 12773.2010266619 & 338.733215910609 \tabularnewline
0.25 & 12857.4686588553 & 354.828268451764 \tabularnewline
0.26 & 12944.2616841141 & 371.5636201204 \tabularnewline
0.27 & 13033.5887283411 & 387.394707068156 \tabularnewline
0.28 & 13125.1187177179 & 400.618881118107 \tabularnewline
0.29 & 13218.1868790948 & 409.665535277933 \tabularnewline
0.3 & 13311.8492613668 & 413.440160384843 \tabularnewline
0.31 & 13404.9779020971 & 411.362305961569 \tabularnewline
0.32 & 13496.3771076398 & 403.46528005037 \tabularnewline
0.33 & 13584.8975688404 & 390.273404746032 \tabularnewline
0.34 & 13669.5296050385 & 372.636972086095 \tabularnewline
0.35 & 13749.4664519635 & 351.588300796712 \tabularnewline
0.36 & 13824.1384221725 & 328.236835299775 \tabularnewline
0.37 & 13893.2250868848 & 303.637074840374 \tabularnewline
0.38 & 13956.6538415128 & 278.878446508287 \tabularnewline
0.39 & 14014.5903321495 & 255.024190816026 \tabularnewline
0.4 & 14067.4218012099 & 233.086312370816 \tabularnewline
0.41 & 14115.7311348404 & 214.012306461979 \tabularnewline
0.42 & 14160.2588445609 & 198.636474900692 \tabularnewline
0.43 & 14201.852377363 & 187.493685869594 \tabularnewline
0.44 & 14241.4057070811 & 180.770254996209 \tabularnewline
0.45 & 14279.7953165249 & 178.227555168859 \tabularnewline
0.46 & 14317.8200453067 & 179.338233884277 \tabularnewline
0.47 & 14356.1514355859 & 183.275032351625 \tabularnewline
0.48 & 14395.2987501847 & 189.104248609697 \tabularnewline
0.49 & 14435.5899449288 & 195.918715161507 \tabularnewline
0.5 & 14477.1676899419 & 202.784161265057 \tabularnewline
0.51 & 14519.9986315399 & 208.955410926744 \tabularnewline
0.52 & 14563.8942912861 & 213.674182790443 \tabularnewline
0.53 & 14608.5425696121 & 216.465374713035 \tabularnewline
0.54 & 14653.5488975171 & 216.979140217127 \tabularnewline
0.55 & 14698.485158229 & 215.169986544206 \tabularnewline
0.56 & 14742.9427117056 & 211.274658741229 \tabularnewline
0.57 & 14786.5839114151 & 205.730175149373 \tabularnewline
0.58 & 14829.1853544432 & 199.227198291139 \tabularnewline
0.59 & 14870.6664697322 & 192.585583915237 \tabularnewline
0.6 & 14911.099048782 & 186.581980308231 \tabularnewline
0.61 & 14950.6964139356 & 181.898645719565 \tabularnewline
0.62 & 14989.7841390292 & 179.057029970281 \tabularnewline
0.63 & 15028.7566575444 & 178.265474580032 \tabularnewline
0.64 & 15068.0252482014 & 179.450705228025 \tabularnewline
0.65 & 15107.9629585418 & 182.299409542243 \tabularnewline
0.66 & 15148.8516868128 & 186.238623537281 \tabularnewline
0.67 & 15190.8366320264 & 190.486006308731 \tabularnewline
0.68 & 15233.8939662767 & 194.212084761371 \tabularnewline
0.69 & 15277.8184970661 & 196.541721183386 \tabularnewline
0.7 & 15322.2382342831 & 196.712248683357 \tabularnewline
0.71 & 15366.6608871597 & 194.230917668895 \tabularnewline
0.72 & 15410.552514585 & 189.033430489255 \tabularnewline
0.73 & 15453.4409530576 & 181.525469153384 \tabularnewline
0.74 & 15495.0277017212 & 172.642312017898 \tabularnewline
0.75 & 15535.2843733241 & 163.779466641236 \tabularnewline
0.76 & 15574.507062474 & 156.520954502207 \tabularnewline
0.77 & 15613.3071688003 & 152.369694144956 \tabularnewline
0.78 & 15652.5317593679 & 152.262763317673 \tabularnewline
0.79 & 15693.1286561169 & 156.273197335322 \tabularnewline
0.8 & 15735.9950145537 & 163.545991656425 \tabularnewline
0.81 & 15781.8631803976 & 172.720242906318 \tabularnewline
0.82 & 15831.2727330455 & 182.479715388787 \tabularnewline
0.83 & 15884.6457102149 & 192.188846155198 \tabularnewline
0.84 & 15942.4273763062 & 202.089881345097 \tabularnewline
0.85 & 16005.1987871926 & 213.11074796227 \tabularnewline
0.86 & 16073.6458905761 & 225.955410432609 \tabularnewline
0.87 & 16148.3189643238 & 240.01187048111 \tabularnewline
0.88 & 16229.2441543312 & 252.71070887531 \tabularnewline
0.89 & 16315.6072844137 & 260.25496656848 \tabularnewline
0.9 & 16405.8075060182 & 259.518627992365 \tabularnewline
0.91 & 16498.0490906588 & 250.220875695095 \tabularnewline
0.92 & 16591.2840449445 & 236.070140083428 \tabularnewline
0.93 & 16685.9582547119 & 223.139399656894 \tabularnewline
0.94 & 16784.091078027 & 215.358111947286 \tabularnewline
0.95 & 16889.0557698101 & 211.439229420397 \tabularnewline
0.96 & 17006.7523913487 & 209.436250650627 \tabularnewline
0.97 & 17150.0506152239 & 215.87425228346 \tabularnewline
0.98 & 17341.0264238408 & 253.535125973473 \tabularnewline
0.99 & 17581.213685492 & 348.988075566495 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277334&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]9901.52864627952[/C][C]354.533587707106[/C][/ROW]
[ROW][C]0.02[/C][C]10169.7455867166[/C][C]333.930010068288[/C][/ROW]
[ROW][C]0.03[/C][C]10410.6365581161[/C][C]302.362843948422[/C][/ROW]
[ROW][C]0.04[/C][C]10605.8963565563[/C][C]292.243827542199[/C][/ROW]
[ROW][C]0.05[/C][C]10773.7447934778[/C][C]316.032769323407[/C][/ROW]
[ROW][C]0.06[/C][C]10931.671206123[/C][C]348.838132855384[/C][/ROW]
[ROW][C]0.07[/C][C]11086.262987807[/C][C]366.943447949584[/C][/ROW]
[ROW][C]0.08[/C][C]11235.818630844[/C][C]364.582840404555[/C][/ROW]
[ROW][C]0.09[/C][C]11376.2842928081[/C][C]349.080755724857[/C][/ROW]
[ROW][C]0.1[/C][C]11505.3451819818[/C][C]331.254668941826[/C][/ROW]
[ROW][C]0.11[/C][C]11623.3980113092[/C][C]318.369163471589[/C][/ROW]
[ROW][C]0.12[/C][C]11732.5441906389[/C][C]312.114941708035[/C][/ROW]
[ROW][C]0.13[/C][C]11835.1726582731[/C][C]310.201581160664[/C][/ROW]
[ROW][C]0.14[/C][C]11933.0558774085[/C][C]309.399210059423[/C][/ROW]
[ROW][C]0.15[/C][C]12027.1397069058[/C][C]307.579388830993[/C][/ROW]
[ROW][C]0.16[/C][C]12117.7921636[/C][C]304.311738770654[/C][/ROW]
[ROW][C]0.17[/C][C]12205.1895281471[/C][C]300.476648133097[/C][/ROW]
[ROW][C]0.18[/C][C]12289.6148869042[/C][C]297.532180394468[/C][/ROW]
[ROW][C]0.19[/C][C]12371.5871374436[/C][C]296.752203396222[/C][/ROW]
[ROW][C]0.2[/C][C]12451.8461365756[/C][C]298.909987490863[/C][/ROW]
[ROW][C]0.21[/C][C]12531.2642385164[/C][C]304.301605282807[/C][/ROW]
[ROW][C]0.22[/C][C]12610.7461419821[/C][C]312.882611670642[/C][/ROW]
[ROW][C]0.23[/C][C]12691.1460177014[/C][C]324.501330836055[/C][/ROW]
[ROW][C]0.24[/C][C]12773.2010266619[/C][C]338.733215910609[/C][/ROW]
[ROW][C]0.25[/C][C]12857.4686588553[/C][C]354.828268451764[/C][/ROW]
[ROW][C]0.26[/C][C]12944.2616841141[/C][C]371.5636201204[/C][/ROW]
[ROW][C]0.27[/C][C]13033.5887283411[/C][C]387.394707068156[/C][/ROW]
[ROW][C]0.28[/C][C]13125.1187177179[/C][C]400.618881118107[/C][/ROW]
[ROW][C]0.29[/C][C]13218.1868790948[/C][C]409.665535277933[/C][/ROW]
[ROW][C]0.3[/C][C]13311.8492613668[/C][C]413.440160384843[/C][/ROW]
[ROW][C]0.31[/C][C]13404.9779020971[/C][C]411.362305961569[/C][/ROW]
[ROW][C]0.32[/C][C]13496.3771076398[/C][C]403.46528005037[/C][/ROW]
[ROW][C]0.33[/C][C]13584.8975688404[/C][C]390.273404746032[/C][/ROW]
[ROW][C]0.34[/C][C]13669.5296050385[/C][C]372.636972086095[/C][/ROW]
[ROW][C]0.35[/C][C]13749.4664519635[/C][C]351.588300796712[/C][/ROW]
[ROW][C]0.36[/C][C]13824.1384221725[/C][C]328.236835299775[/C][/ROW]
[ROW][C]0.37[/C][C]13893.2250868848[/C][C]303.637074840374[/C][/ROW]
[ROW][C]0.38[/C][C]13956.6538415128[/C][C]278.878446508287[/C][/ROW]
[ROW][C]0.39[/C][C]14014.5903321495[/C][C]255.024190816026[/C][/ROW]
[ROW][C]0.4[/C][C]14067.4218012099[/C][C]233.086312370816[/C][/ROW]
[ROW][C]0.41[/C][C]14115.7311348404[/C][C]214.012306461979[/C][/ROW]
[ROW][C]0.42[/C][C]14160.2588445609[/C][C]198.636474900692[/C][/ROW]
[ROW][C]0.43[/C][C]14201.852377363[/C][C]187.493685869594[/C][/ROW]
[ROW][C]0.44[/C][C]14241.4057070811[/C][C]180.770254996209[/C][/ROW]
[ROW][C]0.45[/C][C]14279.7953165249[/C][C]178.227555168859[/C][/ROW]
[ROW][C]0.46[/C][C]14317.8200453067[/C][C]179.338233884277[/C][/ROW]
[ROW][C]0.47[/C][C]14356.1514355859[/C][C]183.275032351625[/C][/ROW]
[ROW][C]0.48[/C][C]14395.2987501847[/C][C]189.104248609697[/C][/ROW]
[ROW][C]0.49[/C][C]14435.5899449288[/C][C]195.918715161507[/C][/ROW]
[ROW][C]0.5[/C][C]14477.1676899419[/C][C]202.784161265057[/C][/ROW]
[ROW][C]0.51[/C][C]14519.9986315399[/C][C]208.955410926744[/C][/ROW]
[ROW][C]0.52[/C][C]14563.8942912861[/C][C]213.674182790443[/C][/ROW]
[ROW][C]0.53[/C][C]14608.5425696121[/C][C]216.465374713035[/C][/ROW]
[ROW][C]0.54[/C][C]14653.5488975171[/C][C]216.979140217127[/C][/ROW]
[ROW][C]0.55[/C][C]14698.485158229[/C][C]215.169986544206[/C][/ROW]
[ROW][C]0.56[/C][C]14742.9427117056[/C][C]211.274658741229[/C][/ROW]
[ROW][C]0.57[/C][C]14786.5839114151[/C][C]205.730175149373[/C][/ROW]
[ROW][C]0.58[/C][C]14829.1853544432[/C][C]199.227198291139[/C][/ROW]
[ROW][C]0.59[/C][C]14870.6664697322[/C][C]192.585583915237[/C][/ROW]
[ROW][C]0.6[/C][C]14911.099048782[/C][C]186.581980308231[/C][/ROW]
[ROW][C]0.61[/C][C]14950.6964139356[/C][C]181.898645719565[/C][/ROW]
[ROW][C]0.62[/C][C]14989.7841390292[/C][C]179.057029970281[/C][/ROW]
[ROW][C]0.63[/C][C]15028.7566575444[/C][C]178.265474580032[/C][/ROW]
[ROW][C]0.64[/C][C]15068.0252482014[/C][C]179.450705228025[/C][/ROW]
[ROW][C]0.65[/C][C]15107.9629585418[/C][C]182.299409542243[/C][/ROW]
[ROW][C]0.66[/C][C]15148.8516868128[/C][C]186.238623537281[/C][/ROW]
[ROW][C]0.67[/C][C]15190.8366320264[/C][C]190.486006308731[/C][/ROW]
[ROW][C]0.68[/C][C]15233.8939662767[/C][C]194.212084761371[/C][/ROW]
[ROW][C]0.69[/C][C]15277.8184970661[/C][C]196.541721183386[/C][/ROW]
[ROW][C]0.7[/C][C]15322.2382342831[/C][C]196.712248683357[/C][/ROW]
[ROW][C]0.71[/C][C]15366.6608871597[/C][C]194.230917668895[/C][/ROW]
[ROW][C]0.72[/C][C]15410.552514585[/C][C]189.033430489255[/C][/ROW]
[ROW][C]0.73[/C][C]15453.4409530576[/C][C]181.525469153384[/C][/ROW]
[ROW][C]0.74[/C][C]15495.0277017212[/C][C]172.642312017898[/C][/ROW]
[ROW][C]0.75[/C][C]15535.2843733241[/C][C]163.779466641236[/C][/ROW]
[ROW][C]0.76[/C][C]15574.507062474[/C][C]156.520954502207[/C][/ROW]
[ROW][C]0.77[/C][C]15613.3071688003[/C][C]152.369694144956[/C][/ROW]
[ROW][C]0.78[/C][C]15652.5317593679[/C][C]152.262763317673[/C][/ROW]
[ROW][C]0.79[/C][C]15693.1286561169[/C][C]156.273197335322[/C][/ROW]
[ROW][C]0.8[/C][C]15735.9950145537[/C][C]163.545991656425[/C][/ROW]
[ROW][C]0.81[/C][C]15781.8631803976[/C][C]172.720242906318[/C][/ROW]
[ROW][C]0.82[/C][C]15831.2727330455[/C][C]182.479715388787[/C][/ROW]
[ROW][C]0.83[/C][C]15884.6457102149[/C][C]192.188846155198[/C][/ROW]
[ROW][C]0.84[/C][C]15942.4273763062[/C][C]202.089881345097[/C][/ROW]
[ROW][C]0.85[/C][C]16005.1987871926[/C][C]213.11074796227[/C][/ROW]
[ROW][C]0.86[/C][C]16073.6458905761[/C][C]225.955410432609[/C][/ROW]
[ROW][C]0.87[/C][C]16148.3189643238[/C][C]240.01187048111[/C][/ROW]
[ROW][C]0.88[/C][C]16229.2441543312[/C][C]252.71070887531[/C][/ROW]
[ROW][C]0.89[/C][C]16315.6072844137[/C][C]260.25496656848[/C][/ROW]
[ROW][C]0.9[/C][C]16405.8075060182[/C][C]259.518627992365[/C][/ROW]
[ROW][C]0.91[/C][C]16498.0490906588[/C][C]250.220875695095[/C][/ROW]
[ROW][C]0.92[/C][C]16591.2840449445[/C][C]236.070140083428[/C][/ROW]
[ROW][C]0.93[/C][C]16685.9582547119[/C][C]223.139399656894[/C][/ROW]
[ROW][C]0.94[/C][C]16784.091078027[/C][C]215.358111947286[/C][/ROW]
[ROW][C]0.95[/C][C]16889.0557698101[/C][C]211.439229420397[/C][/ROW]
[ROW][C]0.96[/C][C]17006.7523913487[/C][C]209.436250650627[/C][/ROW]
[ROW][C]0.97[/C][C]17150.0506152239[/C][C]215.87425228346[/C][/ROW]
[ROW][C]0.98[/C][C]17341.0264238408[/C][C]253.535125973473[/C][/ROW]
[ROW][C]0.99[/C][C]17581.213685492[/C][C]348.988075566495[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277334&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
0.019901.52864627952354.533587707106
0.0210169.7455867166333.930010068288
0.0310410.6365581161302.362843948422
0.0410605.8963565563292.243827542199
0.0510773.7447934778316.032769323407
0.0610931.671206123348.838132855384
0.0711086.262987807366.943447949584
0.0811235.818630844364.582840404555
0.0911376.2842928081349.080755724857
0.111505.3451819818331.254668941826
0.1111623.3980113092318.369163471589
0.1211732.5441906389312.114941708035
0.1311835.1726582731310.201581160664
0.1411933.0558774085309.399210059423
0.1512027.1397069058307.579388830993
0.1612117.7921636304.311738770654
0.1712205.1895281471300.476648133097
0.1812289.6148869042297.532180394468
0.1912371.5871374436296.752203396222
0.212451.8461365756298.909987490863
0.2112531.2642385164304.301605282807
0.2212610.7461419821312.882611670642
0.2312691.1460177014324.501330836055
0.2412773.2010266619338.733215910609
0.2512857.4686588553354.828268451764
0.2612944.2616841141371.5636201204
0.2713033.5887283411387.394707068156
0.2813125.1187177179400.618881118107
0.2913218.1868790948409.665535277933
0.313311.8492613668413.440160384843
0.3113404.9779020971411.362305961569
0.3213496.3771076398403.46528005037
0.3313584.8975688404390.273404746032
0.3413669.5296050385372.636972086095
0.3513749.4664519635351.588300796712
0.3613824.1384221725328.236835299775
0.3713893.2250868848303.637074840374
0.3813956.6538415128278.878446508287
0.3914014.5903321495255.024190816026
0.414067.4218012099233.086312370816
0.4114115.7311348404214.012306461979
0.4214160.2588445609198.636474900692
0.4314201.852377363187.493685869594
0.4414241.4057070811180.770254996209
0.4514279.7953165249178.227555168859
0.4614317.8200453067179.338233884277
0.4714356.1514355859183.275032351625
0.4814395.2987501847189.104248609697
0.4914435.5899449288195.918715161507
0.514477.1676899419202.784161265057
0.5114519.9986315399208.955410926744
0.5214563.8942912861213.674182790443
0.5314608.5425696121216.465374713035
0.5414653.5488975171216.979140217127
0.5514698.485158229215.169986544206
0.5614742.9427117056211.274658741229
0.5714786.5839114151205.730175149373
0.5814829.1853544432199.227198291139
0.5914870.6664697322192.585583915237
0.614911.099048782186.581980308231
0.6114950.6964139356181.898645719565
0.6214989.7841390292179.057029970281
0.6315028.7566575444178.265474580032
0.6415068.0252482014179.450705228025
0.6515107.9629585418182.299409542243
0.6615148.8516868128186.238623537281
0.6715190.8366320264190.486006308731
0.6815233.8939662767194.212084761371
0.6915277.8184970661196.541721183386
0.715322.2382342831196.712248683357
0.7115366.6608871597194.230917668895
0.7215410.552514585189.033430489255
0.7315453.4409530576181.525469153384
0.7415495.0277017212172.642312017898
0.7515535.2843733241163.779466641236
0.7615574.507062474156.520954502207
0.7715613.3071688003152.369694144956
0.7815652.5317593679152.262763317673
0.7915693.1286561169156.273197335322
0.815735.9950145537163.545991656425
0.8115781.8631803976172.720242906318
0.8215831.2727330455182.479715388787
0.8315884.6457102149192.188846155198
0.8415942.4273763062202.089881345097
0.8516005.1987871926213.11074796227
0.8616073.6458905761225.955410432609
0.8716148.3189643238240.01187048111
0.8816229.2441543312252.71070887531
0.8916315.6072844137260.25496656848
0.916405.8075060182259.518627992365
0.9116498.0490906588250.220875695095
0.9216591.2840449445236.070140083428
0.9316685.9582547119223.139399656894
0.9416784.091078027215.358111947286
0.9516889.0557698101211.439229420397
0.9617006.7523913487209.436250650627
0.9717150.0506152239215.87425228346
0.9817341.0264238408253.535125973473
0.9917581.213685492348.988075566495


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')