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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Jun 2009 09:37:52 -0600
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/Jun/02/t1243957102lzz7gqqohs9uhxi.htm/, Retrieved Thu, 02 May 2024 01:34:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41283, Retrieved Thu, 02 May 2024 01:34:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

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] [Opgave 4-Percenti...] [2009-03-11 16:09:19] [e255d5a164a6c4031b5d890e3ed09f74]
-    D    [Harrell-Davis Quantiles] [] [2009-06-02 15:37:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D      [Harrell-Davis Quantiles] [Yelle Eyckmans] [2009-06-06 10:16:08] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3851,3
3851,8
3854,1
3858,4
3861,6
3856,3
3855,8
3860,4
3855,1
3839,5
3833
3833,6
3826,8
3818,2
3811,4
3806,8
3810,3
3818,2
3858,9
3867,8
3872,3
3873,3
3876,7
3882,6
3883,5
3882,2
3888,1
3893,7
3901,9
3914,3
3930,3
3948,3
3971,5
3990,1
3993
3998
4015,8
4041,2
4060,7
4076,7
4103
4125,3
4139,7
4146,7
4158
4155,1
4144,8
4148,2
4142,5
4142,1
4145,4
4146,3
4143,5
4149,2
4158,9
4166,1
4179,1
4194,4
4211,7
4226,3
4235,8
4243,6
4258,7
4278,2
4298
4315,1
4334,3
4356
4374
4395,5
4417,8
4432,8
4446,3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41283&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41283&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41283&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013807.984066294063.25793385027869
0.023809.929717089613.68427676721760
0.033812.284131192264.82563393891887
0.043814.926913843066.17403406243864
0.053817.839706864487.45554731969679
0.063820.99391085818.58941871955325
0.073824.332893035759.53782718762015
0.083827.7854789592110.2579621745695
0.093831.2756701924910.7224519014131
0.13834.7265195986710.9058050429306
0.113838.0629030340410.7937179804244
0.123841.2156348351710.3801903449971
0.133844.127326295449.70983092348312
0.143846.759030123048.85143878023112
0.153849.095699931817.91938859717653
0.163851.148399288537.04352856998215
0.173852.952229956816.3293313481309
0.183854.56047477195.86481115995916
0.193856.036594736285.68822177296788
0.23857.446037507795.79935409381758
0.213858.849420128556.15609014391413
0.223860.297945388676.69503385110475
0.233861.831265974137.36781901698576
0.243863.477594459618.11161910981594
0.253865.255658798898.89900416017592
0.263867.178026035039.7189870879551
0.273869.2552723475110.5809489337285
0.283871.5004273739911.5222937530243
0.293873.9330769697412.5962715866141
0.33876.5825080330913.8781396478862
0.313879.4893562160215.4395368740336
0.323882.705386857617.3506991325627
0.333886.29129043419.6424566255284
0.343890.3126729299822.3351956115231
0.353894.8347206409225.3937439750556
0.363899.9162639772728.7532774663582
0.373905.604105347432.3280161192375
0.383911.9284746846335.9964583508898
0.393918.9003173736439.6464663552551
0.43926.5108171445143.1619208081664
0.413934.7331565419646.450919856753
0.423943.5260926707149.4549971017647
0.433952.8385638020952.1319671178576
0.443962.614327063254.4801728462944
0.453972.7956180013256.52307831641
0.463983.3250361547158.2736244309692
0.473994.1452628411859.7458355889749
0.484005.1967274613860.9154732313423
0.494016.4138460487461.748040225508
0.54027.7208455858362.1569356429225
0.514039.0283680845862.0550674198664
0.524050.2319736202461.3349925817801
0.534061.2133422813859.9124160788428
0.544071.8444763685657.7388956092009
0.554081.9946299437254.8117441817163
0.564091.5391617845351.1885379593837
0.574100.3691274459146.9638497226998
0.584108.4002700323942.325639993632
0.594115.5801626683137.4426857548375
0.64121.8925720014832.5382328102879
0.614127.358580826527.8148411335468
0.624132.0345311370723.4520284649113
0.634136.0073229158219.616468937123
0.644139.3879408602216.4203125221600
0.654142.3042257565613.9484217804116
0.664144.893845545112.2617038673023
0.674147.2981809015411.3737597319576
0.684149.657482986311.2650075206550
0.694152.1072702460411.8743349478580
0.74154.7755976319713.1222422191251
0.714157.7806385990914.8994071308003
0.724161.2280276536617.1201377010998
0.734165.2076389118219.6748177338519
0.744169.7898886805222.4574895429373
0.754175.0221483268725.3273935521457
0.764180.9262820593828.1459095170931
0.774187.4985015671230.7720291984367
0.784194.7125051796933.0959545116017
0.794202.5261936862635.0439054787418
0.84210.8912388549636.6074061030661
0.814219.7637091605137.8312107973094
0.824229.1132299210138.8036306004267
0.834238.9281482954339.6397208945841
0.844249.2150622320740.42547721974
0.854259.9926899017441.1990055526222
0.864271.2818836540341.9318620699212
0.874283.094925799742.5352940419618
0.884295.4274862301242.9027511639605
0.894308.2555500733242.931739661401
0.94321.537448652342.5528946528482
0.914335.2183454109641.7333416774231
0.924349.2318447083540.4673735685676
0.934363.4921470158738.7437340232094
0.944377.8730950983836.4887437768822
0.954392.180326559133.5236397144085
0.964406.1334570218429.6005296434153
0.974419.355243226824.6218345478884
0.984431.2760752941319.1202519210119
0.994440.8265280645514.8190110612263

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3807.98406629406 & 3.25793385027869 \tabularnewline
0.02 & 3809.92971708961 & 3.68427676721760 \tabularnewline
0.03 & 3812.28413119226 & 4.82563393891887 \tabularnewline
0.04 & 3814.92691384306 & 6.17403406243864 \tabularnewline
0.05 & 3817.83970686448 & 7.45554731969679 \tabularnewline
0.06 & 3820.9939108581 & 8.58941871955325 \tabularnewline
0.07 & 3824.33289303575 & 9.53782718762015 \tabularnewline
0.08 & 3827.78547895921 & 10.2579621745695 \tabularnewline
0.09 & 3831.27567019249 & 10.7224519014131 \tabularnewline
0.1 & 3834.72651959867 & 10.9058050429306 \tabularnewline
0.11 & 3838.06290303404 & 10.7937179804244 \tabularnewline
0.12 & 3841.21563483517 & 10.3801903449971 \tabularnewline
0.13 & 3844.12732629544 & 9.70983092348312 \tabularnewline
0.14 & 3846.75903012304 & 8.85143878023112 \tabularnewline
0.15 & 3849.09569993181 & 7.91938859717653 \tabularnewline
0.16 & 3851.14839928853 & 7.04352856998215 \tabularnewline
0.17 & 3852.95222995681 & 6.3293313481309 \tabularnewline
0.18 & 3854.5604747719 & 5.86481115995916 \tabularnewline
0.19 & 3856.03659473628 & 5.68822177296788 \tabularnewline
0.2 & 3857.44603750779 & 5.79935409381758 \tabularnewline
0.21 & 3858.84942012855 & 6.15609014391413 \tabularnewline
0.22 & 3860.29794538867 & 6.69503385110475 \tabularnewline
0.23 & 3861.83126597413 & 7.36781901698576 \tabularnewline
0.24 & 3863.47759445961 & 8.11161910981594 \tabularnewline
0.25 & 3865.25565879889 & 8.89900416017592 \tabularnewline
0.26 & 3867.17802603503 & 9.7189870879551 \tabularnewline
0.27 & 3869.25527234751 & 10.5809489337285 \tabularnewline
0.28 & 3871.50042737399 & 11.5222937530243 \tabularnewline
0.29 & 3873.93307696974 & 12.5962715866141 \tabularnewline
0.3 & 3876.58250803309 & 13.8781396478862 \tabularnewline
0.31 & 3879.48935621602 & 15.4395368740336 \tabularnewline
0.32 & 3882.7053868576 & 17.3506991325627 \tabularnewline
0.33 & 3886.291290434 & 19.6424566255284 \tabularnewline
0.34 & 3890.31267292998 & 22.3351956115231 \tabularnewline
0.35 & 3894.83472064092 & 25.3937439750556 \tabularnewline
0.36 & 3899.91626397727 & 28.7532774663582 \tabularnewline
0.37 & 3905.6041053474 & 32.3280161192375 \tabularnewline
0.38 & 3911.92847468463 & 35.9964583508898 \tabularnewline
0.39 & 3918.90031737364 & 39.6464663552551 \tabularnewline
0.4 & 3926.51081714451 & 43.1619208081664 \tabularnewline
0.41 & 3934.73315654196 & 46.450919856753 \tabularnewline
0.42 & 3943.52609267071 & 49.4549971017647 \tabularnewline
0.43 & 3952.83856380209 & 52.1319671178576 \tabularnewline
0.44 & 3962.6143270632 & 54.4801728462944 \tabularnewline
0.45 & 3972.79561800132 & 56.52307831641 \tabularnewline
0.46 & 3983.32503615471 & 58.2736244309692 \tabularnewline
0.47 & 3994.14526284118 & 59.7458355889749 \tabularnewline
0.48 & 4005.19672746138 & 60.9154732313423 \tabularnewline
0.49 & 4016.41384604874 & 61.748040225508 \tabularnewline
0.5 & 4027.72084558583 & 62.1569356429225 \tabularnewline
0.51 & 4039.02836808458 & 62.0550674198664 \tabularnewline
0.52 & 4050.23197362024 & 61.3349925817801 \tabularnewline
0.53 & 4061.21334228138 & 59.9124160788428 \tabularnewline
0.54 & 4071.84447636856 & 57.7388956092009 \tabularnewline
0.55 & 4081.99462994372 & 54.8117441817163 \tabularnewline
0.56 & 4091.53916178453 & 51.1885379593837 \tabularnewline
0.57 & 4100.36912744591 & 46.9638497226998 \tabularnewline
0.58 & 4108.40027003239 & 42.325639993632 \tabularnewline
0.59 & 4115.58016266831 & 37.4426857548375 \tabularnewline
0.6 & 4121.89257200148 & 32.5382328102879 \tabularnewline
0.61 & 4127.3585808265 & 27.8148411335468 \tabularnewline
0.62 & 4132.03453113707 & 23.4520284649113 \tabularnewline
0.63 & 4136.00732291582 & 19.616468937123 \tabularnewline
0.64 & 4139.38794086022 & 16.4203125221600 \tabularnewline
0.65 & 4142.30422575656 & 13.9484217804116 \tabularnewline
0.66 & 4144.8938455451 & 12.2617038673023 \tabularnewline
0.67 & 4147.29818090154 & 11.3737597319576 \tabularnewline
0.68 & 4149.6574829863 & 11.2650075206550 \tabularnewline
0.69 & 4152.10727024604 & 11.8743349478580 \tabularnewline
0.7 & 4154.77559763197 & 13.1222422191251 \tabularnewline
0.71 & 4157.78063859909 & 14.8994071308003 \tabularnewline
0.72 & 4161.22802765366 & 17.1201377010998 \tabularnewline
0.73 & 4165.20763891182 & 19.6748177338519 \tabularnewline
0.74 & 4169.78988868052 & 22.4574895429373 \tabularnewline
0.75 & 4175.02214832687 & 25.3273935521457 \tabularnewline
0.76 & 4180.92628205938 & 28.1459095170931 \tabularnewline
0.77 & 4187.49850156712 & 30.7720291984367 \tabularnewline
0.78 & 4194.71250517969 & 33.0959545116017 \tabularnewline
0.79 & 4202.52619368626 & 35.0439054787418 \tabularnewline
0.8 & 4210.89123885496 & 36.6074061030661 \tabularnewline
0.81 & 4219.76370916051 & 37.8312107973094 \tabularnewline
0.82 & 4229.11322992101 & 38.8036306004267 \tabularnewline
0.83 & 4238.92814829543 & 39.6397208945841 \tabularnewline
0.84 & 4249.21506223207 & 40.42547721974 \tabularnewline
0.85 & 4259.99268990174 & 41.1990055526222 \tabularnewline
0.86 & 4271.28188365403 & 41.9318620699212 \tabularnewline
0.87 & 4283.0949257997 & 42.5352940419618 \tabularnewline
0.88 & 4295.42748623012 & 42.9027511639605 \tabularnewline
0.89 & 4308.25555007332 & 42.931739661401 \tabularnewline
0.9 & 4321.5374486523 & 42.5528946528482 \tabularnewline
0.91 & 4335.21834541096 & 41.7333416774231 \tabularnewline
0.92 & 4349.23184470835 & 40.4673735685676 \tabularnewline
0.93 & 4363.49214701587 & 38.7437340232094 \tabularnewline
0.94 & 4377.87309509838 & 36.4887437768822 \tabularnewline
0.95 & 4392.1803265591 & 33.5236397144085 \tabularnewline
0.96 & 4406.13345702184 & 29.6005296434153 \tabularnewline
0.97 & 4419.3552432268 & 24.6218345478884 \tabularnewline
0.98 & 4431.27607529413 & 19.1202519210119 \tabularnewline
0.99 & 4440.82652806455 & 14.8190110612263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41283&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]3807.98406629406[/C][C]3.25793385027869[/C][/ROW]
[ROW][C]0.02[/C][C]3809.92971708961[/C][C]3.68427676721760[/C][/ROW]
[ROW][C]0.03[/C][C]3812.28413119226[/C][C]4.82563393891887[/C][/ROW]
[ROW][C]0.04[/C][C]3814.92691384306[/C][C]6.17403406243864[/C][/ROW]
[ROW][C]0.05[/C][C]3817.83970686448[/C][C]7.45554731969679[/C][/ROW]
[ROW][C]0.06[/C][C]3820.9939108581[/C][C]8.58941871955325[/C][/ROW]
[ROW][C]0.07[/C][C]3824.33289303575[/C][C]9.53782718762015[/C][/ROW]
[ROW][C]0.08[/C][C]3827.78547895921[/C][C]10.2579621745695[/C][/ROW]
[ROW][C]0.09[/C][C]3831.27567019249[/C][C]10.7224519014131[/C][/ROW]
[ROW][C]0.1[/C][C]3834.72651959867[/C][C]10.9058050429306[/C][/ROW]
[ROW][C]0.11[/C][C]3838.06290303404[/C][C]10.7937179804244[/C][/ROW]
[ROW][C]0.12[/C][C]3841.21563483517[/C][C]10.3801903449971[/C][/ROW]
[ROW][C]0.13[/C][C]3844.12732629544[/C][C]9.70983092348312[/C][/ROW]
[ROW][C]0.14[/C][C]3846.75903012304[/C][C]8.85143878023112[/C][/ROW]
[ROW][C]0.15[/C][C]3849.09569993181[/C][C]7.91938859717653[/C][/ROW]
[ROW][C]0.16[/C][C]3851.14839928853[/C][C]7.04352856998215[/C][/ROW]
[ROW][C]0.17[/C][C]3852.95222995681[/C][C]6.3293313481309[/C][/ROW]
[ROW][C]0.18[/C][C]3854.5604747719[/C][C]5.86481115995916[/C][/ROW]
[ROW][C]0.19[/C][C]3856.03659473628[/C][C]5.68822177296788[/C][/ROW]
[ROW][C]0.2[/C][C]3857.44603750779[/C][C]5.79935409381758[/C][/ROW]
[ROW][C]0.21[/C][C]3858.84942012855[/C][C]6.15609014391413[/C][/ROW]
[ROW][C]0.22[/C][C]3860.29794538867[/C][C]6.69503385110475[/C][/ROW]
[ROW][C]0.23[/C][C]3861.83126597413[/C][C]7.36781901698576[/C][/ROW]
[ROW][C]0.24[/C][C]3863.47759445961[/C][C]8.11161910981594[/C][/ROW]
[ROW][C]0.25[/C][C]3865.25565879889[/C][C]8.89900416017592[/C][/ROW]
[ROW][C]0.26[/C][C]3867.17802603503[/C][C]9.7189870879551[/C][/ROW]
[ROW][C]0.27[/C][C]3869.25527234751[/C][C]10.5809489337285[/C][/ROW]
[ROW][C]0.28[/C][C]3871.50042737399[/C][C]11.5222937530243[/C][/ROW]
[ROW][C]0.29[/C][C]3873.93307696974[/C][C]12.5962715866141[/C][/ROW]
[ROW][C]0.3[/C][C]3876.58250803309[/C][C]13.8781396478862[/C][/ROW]
[ROW][C]0.31[/C][C]3879.48935621602[/C][C]15.4395368740336[/C][/ROW]
[ROW][C]0.32[/C][C]3882.7053868576[/C][C]17.3506991325627[/C][/ROW]
[ROW][C]0.33[/C][C]3886.291290434[/C][C]19.6424566255284[/C][/ROW]
[ROW][C]0.34[/C][C]3890.31267292998[/C][C]22.3351956115231[/C][/ROW]
[ROW][C]0.35[/C][C]3894.83472064092[/C][C]25.3937439750556[/C][/ROW]
[ROW][C]0.36[/C][C]3899.91626397727[/C][C]28.7532774663582[/C][/ROW]
[ROW][C]0.37[/C][C]3905.6041053474[/C][C]32.3280161192375[/C][/ROW]
[ROW][C]0.38[/C][C]3911.92847468463[/C][C]35.9964583508898[/C][/ROW]
[ROW][C]0.39[/C][C]3918.90031737364[/C][C]39.6464663552551[/C][/ROW]
[ROW][C]0.4[/C][C]3926.51081714451[/C][C]43.1619208081664[/C][/ROW]
[ROW][C]0.41[/C][C]3934.73315654196[/C][C]46.450919856753[/C][/ROW]
[ROW][C]0.42[/C][C]3943.52609267071[/C][C]49.4549971017647[/C][/ROW]
[ROW][C]0.43[/C][C]3952.83856380209[/C][C]52.1319671178576[/C][/ROW]
[ROW][C]0.44[/C][C]3962.6143270632[/C][C]54.4801728462944[/C][/ROW]
[ROW][C]0.45[/C][C]3972.79561800132[/C][C]56.52307831641[/C][/ROW]
[ROW][C]0.46[/C][C]3983.32503615471[/C][C]58.2736244309692[/C][/ROW]
[ROW][C]0.47[/C][C]3994.14526284118[/C][C]59.7458355889749[/C][/ROW]
[ROW][C]0.48[/C][C]4005.19672746138[/C][C]60.9154732313423[/C][/ROW]
[ROW][C]0.49[/C][C]4016.41384604874[/C][C]61.748040225508[/C][/ROW]
[ROW][C]0.5[/C][C]4027.72084558583[/C][C]62.1569356429225[/C][/ROW]
[ROW][C]0.51[/C][C]4039.02836808458[/C][C]62.0550674198664[/C][/ROW]
[ROW][C]0.52[/C][C]4050.23197362024[/C][C]61.3349925817801[/C][/ROW]
[ROW][C]0.53[/C][C]4061.21334228138[/C][C]59.9124160788428[/C][/ROW]
[ROW][C]0.54[/C][C]4071.84447636856[/C][C]57.7388956092009[/C][/ROW]
[ROW][C]0.55[/C][C]4081.99462994372[/C][C]54.8117441817163[/C][/ROW]
[ROW][C]0.56[/C][C]4091.53916178453[/C][C]51.1885379593837[/C][/ROW]
[ROW][C]0.57[/C][C]4100.36912744591[/C][C]46.9638497226998[/C][/ROW]
[ROW][C]0.58[/C][C]4108.40027003239[/C][C]42.325639993632[/C][/ROW]
[ROW][C]0.59[/C][C]4115.58016266831[/C][C]37.4426857548375[/C][/ROW]
[ROW][C]0.6[/C][C]4121.89257200148[/C][C]32.5382328102879[/C][/ROW]
[ROW][C]0.61[/C][C]4127.3585808265[/C][C]27.8148411335468[/C][/ROW]
[ROW][C]0.62[/C][C]4132.03453113707[/C][C]23.4520284649113[/C][/ROW]
[ROW][C]0.63[/C][C]4136.00732291582[/C][C]19.616468937123[/C][/ROW]
[ROW][C]0.64[/C][C]4139.38794086022[/C][C]16.4203125221600[/C][/ROW]
[ROW][C]0.65[/C][C]4142.30422575656[/C][C]13.9484217804116[/C][/ROW]
[ROW][C]0.66[/C][C]4144.8938455451[/C][C]12.2617038673023[/C][/ROW]
[ROW][C]0.67[/C][C]4147.29818090154[/C][C]11.3737597319576[/C][/ROW]
[ROW][C]0.68[/C][C]4149.6574829863[/C][C]11.2650075206550[/C][/ROW]
[ROW][C]0.69[/C][C]4152.10727024604[/C][C]11.8743349478580[/C][/ROW]
[ROW][C]0.7[/C][C]4154.77559763197[/C][C]13.1222422191251[/C][/ROW]
[ROW][C]0.71[/C][C]4157.78063859909[/C][C]14.8994071308003[/C][/ROW]
[ROW][C]0.72[/C][C]4161.22802765366[/C][C]17.1201377010998[/C][/ROW]
[ROW][C]0.73[/C][C]4165.20763891182[/C][C]19.6748177338519[/C][/ROW]
[ROW][C]0.74[/C][C]4169.78988868052[/C][C]22.4574895429373[/C][/ROW]
[ROW][C]0.75[/C][C]4175.02214832687[/C][C]25.3273935521457[/C][/ROW]
[ROW][C]0.76[/C][C]4180.92628205938[/C][C]28.1459095170931[/C][/ROW]
[ROW][C]0.77[/C][C]4187.49850156712[/C][C]30.7720291984367[/C][/ROW]
[ROW][C]0.78[/C][C]4194.71250517969[/C][C]33.0959545116017[/C][/ROW]
[ROW][C]0.79[/C][C]4202.52619368626[/C][C]35.0439054787418[/C][/ROW]
[ROW][C]0.8[/C][C]4210.89123885496[/C][C]36.6074061030661[/C][/ROW]
[ROW][C]0.81[/C][C]4219.76370916051[/C][C]37.8312107973094[/C][/ROW]
[ROW][C]0.82[/C][C]4229.11322992101[/C][C]38.8036306004267[/C][/ROW]
[ROW][C]0.83[/C][C]4238.92814829543[/C][C]39.6397208945841[/C][/ROW]
[ROW][C]0.84[/C][C]4249.21506223207[/C][C]40.42547721974[/C][/ROW]
[ROW][C]0.85[/C][C]4259.99268990174[/C][C]41.1990055526222[/C][/ROW]
[ROW][C]0.86[/C][C]4271.28188365403[/C][C]41.9318620699212[/C][/ROW]
[ROW][C]0.87[/C][C]4283.0949257997[/C][C]42.5352940419618[/C][/ROW]
[ROW][C]0.88[/C][C]4295.42748623012[/C][C]42.9027511639605[/C][/ROW]
[ROW][C]0.89[/C][C]4308.25555007332[/C][C]42.931739661401[/C][/ROW]
[ROW][C]0.9[/C][C]4321.5374486523[/C][C]42.5528946528482[/C][/ROW]
[ROW][C]0.91[/C][C]4335.21834541096[/C][C]41.7333416774231[/C][/ROW]
[ROW][C]0.92[/C][C]4349.23184470835[/C][C]40.4673735685676[/C][/ROW]
[ROW][C]0.93[/C][C]4363.49214701587[/C][C]38.7437340232094[/C][/ROW]
[ROW][C]0.94[/C][C]4377.87309509838[/C][C]36.4887437768822[/C][/ROW]
[ROW][C]0.95[/C][C]4392.1803265591[/C][C]33.5236397144085[/C][/ROW]
[ROW][C]0.96[/C][C]4406.13345702184[/C][C]29.6005296434153[/C][/ROW]
[ROW][C]0.97[/C][C]4419.3552432268[/C][C]24.6218345478884[/C][/ROW]
[ROW][C]0.98[/C][C]4431.27607529413[/C][C]19.1202519210119[/C][/ROW]
[ROW][C]0.99[/C][C]4440.82652806455[/C][C]14.8190110612263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41283&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41283&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
0.013807.984066294063.25793385027869
0.023809.929717089613.68427676721760
0.033812.284131192264.82563393891887
0.043814.926913843066.17403406243864
0.053817.839706864487.45554731969679
0.063820.99391085818.58941871955325
0.073824.332893035759.53782718762015
0.083827.7854789592110.2579621745695
0.093831.2756701924910.7224519014131
0.13834.7265195986710.9058050429306
0.113838.0629030340410.7937179804244
0.123841.2156348351710.3801903449971
0.133844.127326295449.70983092348312
0.143846.759030123048.85143878023112
0.153849.095699931817.91938859717653
0.163851.148399288537.04352856998215
0.173852.952229956816.3293313481309
0.183854.56047477195.86481115995916
0.193856.036594736285.68822177296788
0.23857.446037507795.79935409381758
0.213858.849420128556.15609014391413
0.223860.297945388676.69503385110475
0.233861.831265974137.36781901698576
0.243863.477594459618.11161910981594
0.253865.255658798898.89900416017592
0.263867.178026035039.7189870879551
0.273869.2552723475110.5809489337285
0.283871.5004273739911.5222937530243
0.293873.9330769697412.5962715866141
0.33876.5825080330913.8781396478862
0.313879.4893562160215.4395368740336
0.323882.705386857617.3506991325627
0.333886.29129043419.6424566255284
0.343890.3126729299822.3351956115231
0.353894.8347206409225.3937439750556
0.363899.9162639772728.7532774663582
0.373905.604105347432.3280161192375
0.383911.9284746846335.9964583508898
0.393918.9003173736439.6464663552551
0.43926.5108171445143.1619208081664
0.413934.7331565419646.450919856753
0.423943.5260926707149.4549971017647
0.433952.8385638020952.1319671178576
0.443962.614327063254.4801728462944
0.453972.7956180013256.52307831641
0.463983.3250361547158.2736244309692
0.473994.1452628411859.7458355889749
0.484005.1967274613860.9154732313423
0.494016.4138460487461.748040225508
0.54027.7208455858362.1569356429225
0.514039.0283680845862.0550674198664
0.524050.2319736202461.3349925817801
0.534061.2133422813859.9124160788428
0.544071.8444763685657.7388956092009
0.554081.9946299437254.8117441817163
0.564091.5391617845351.1885379593837
0.574100.3691274459146.9638497226998
0.584108.4002700323942.325639993632
0.594115.5801626683137.4426857548375
0.64121.8925720014832.5382328102879
0.614127.358580826527.8148411335468
0.624132.0345311370723.4520284649113
0.634136.0073229158219.616468937123
0.644139.3879408602216.4203125221600
0.654142.3042257565613.9484217804116
0.664144.893845545112.2617038673023
0.674147.2981809015411.3737597319576
0.684149.657482986311.2650075206550
0.694152.1072702460411.8743349478580
0.74154.7755976319713.1222422191251
0.714157.7806385990914.8994071308003
0.724161.2280276536617.1201377010998
0.734165.2076389118219.6748177338519
0.744169.7898886805222.4574895429373
0.754175.0221483268725.3273935521457
0.764180.9262820593828.1459095170931
0.774187.4985015671230.7720291984367
0.784194.7125051796933.0959545116017
0.794202.5261936862635.0439054787418
0.84210.8912388549636.6074061030661
0.814219.7637091605137.8312107973094
0.824229.1132299210138.8036306004267
0.834238.9281482954339.6397208945841
0.844249.2150622320740.42547721974
0.854259.9926899017441.1990055526222
0.864271.2818836540341.9318620699212
0.874283.094925799742.5352940419618
0.884295.4274862301242.9027511639605
0.894308.2555500733242.931739661401
0.94321.537448652342.5528946528482
0.914335.2183454109641.7333416774231
0.924349.2318447083540.4673735685676
0.934363.4921470158738.7437340232094
0.944377.8730950983836.4887437768822
0.954392.180326559133.5236397144085
0.964406.1334570218429.6005296434153
0.974419.355243226824.6218345478884
0.984431.2760752941319.1202519210119
0.994440.8265280645514.8190110612263


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')