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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 computationSat, 24 Oct 2009 02:43:11 -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/Oct/24/t12563738724xsdd4735yb5tte.htm/, Retrieved Fri, 03 May 2024 09:40:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50035, Retrieved Fri, 03 May 2024 09:40:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [workshop3] [2009-10-20 20:48:21] [34b80aeb109c116fd63bf2eb7493a276]
- RMP     [Harrell-Davis Quantiles] [Verbetering WS3] [2009-10-24 08:43:11] [b32ceebc68d054278e6bda97f3d57f91] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
685154
1049060
1103755
819284
250283
332417
218118
446047
600528
514056
765561
1133333
1392630
1490142
1650357
1154934
270691
143058
190146
156958
227479
330195
1052931
1743092
2131734
2495752
3419484
925309
668910
326738
207550
260914
53926
110968
536055
1707084
1318594
272846
929460
547854
18534
4349
400582
33138
524484
714846
2008902
2074450
2165337
1415397
3658764
2387425
1276302
655554
594005
660554
975243
1578819
1236878
727014

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50035&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50035&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50035&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018796.403921279215253.0483236076
0.0216750.199152425119792.0299534810
0.0327527.384695831427452.4174074422
0.0440633.122038901036350.2756384962
0.0555689.335034771844564.8200062832
0.0672215.307937470150744.6010261631
0.0789578.094199471954311.3084015455
0.08107094.78127446855408.5991156854
0.09124168.12100224154639.2560623351
0.1140374.88484834752744.3426377055
0.11155487.52939850050368.8601257249
0.12169447.14064850547968.0090173653
0.13182315.66143860745825.0903530166
0.14194229.16345439744115.9782342064
0.15205362.79165221442964.2009618949
0.16215908.94485651742470.0592908478
0.17226065.54512023642717.0133211697
0.18236030.17817748443769.1609278961
0.19245996.72233433745667.2399480617
0.2256152.37426840948425.0717994397
0.21266674.00888685752022.9584062658
0.22277723.45330141656403.0216436233
0.23289441.66006912161460.5903194866
0.24301942.09445357067042.888760394
0.25315303.96932340272948.6481897076
0.26329566.23685082978936.869650954
0.27344723.39847150684740.0779124528
0.28360724.14968092690084.6931999369
0.29377473.60276709194716.4659697974
0.3394839.35586998427.1616065583
0.31412661.084921581101075.425474055
0.32430762.749315815102603.518336461
0.33448966.055062097103039.989419318
0.34467103.617768884102496.724043184
0.35485030.362285104101149.194193100
0.36502632.06414669999217.04733404
0.37519830.48941158996935.7599235628
0.38536585.18957377594536.4621612648
0.39552892.51577839592227.2311095
0.4568782.72173144490188.8901213278
0.41584316.07689277288572.0554031304
0.42599578.72896383887506.850175938
0.43614678.71452922987108.642652524
0.44629742.13034054787483.1429829761
0.45644909.15912149388722.0340049795
0.46660329.48036814390893.5837311209
0.47676156.62974375694024.0733357098
0.48692541.08915685798083.9474979516
0.49709622.236445518102975.203343174
0.5727519.672303645108533.726189828
0.51746324.778040705114530.995105339
0.52766093.559178066120695.836752148
0.53786841.844337597126739.739851115
0.54808543.722618373132374.188312506
0.55831133.74165077137349.642935921
0.56854512.91187148141468.204150473
0.57878558.050223912144607.845817860
0.58903133.533960469146734.183477939
0.59928104.198348374147897.628150996
0.6953347.954599442148231.440721321
0.61978766.750111669147931.153387996
0.621004294.73370495147236.313003005
0.631029902.88588296146401.852759050
0.641055599.86708069145671.910628632
0.651081429.35025936145253.557122526
0.661107464.55985218145301.226011567
0.671133801.06732008145905.713675594
0.681160549.04539673147094.31311802
0.691187826.140744148844.752132609
0.71215751.90846106151105.127477300
0.711244444.41862769153805.464834937
0.721274019.27520962156883.102282369
0.731304590.95883016160294.171010629
0.741336276.15744674164016.227416227
0.751369198.55606013168053.79597559
0.761403494.31921693172431.910200392
0.771439317.08769772177198.625281154
0.781476840.65695176182423.827881650
0.791516256.73928455188173.697925674
0.81557764.771402194491.573928444
0.811601551.3558113201327.693782063
0.821647759.46055194208466.565753127
0.831696452.45547915215455.721695625
0.841747585.07482177221594.726877768
0.851801000.90735016226038.773117925
0.861856481.55105251228035.100282169
0.871913873.79274920227284.643814720
0.881973317.12294834224359.146898197
0.892035584.56121482221103.426668660
0.92102531.50103359220938.059493685
0.912177603.91260221228972.485505495
0.922266255.05019454251675.923644991
0.932375927.1961505295475.377581076
0.942515008.99934729363028.822475206
0.952690080.60022973446589.27276298
0.962901187.18079393520985.248964077
0.973136170.37342654544569.532766668
0.983367095.97305102481009.236495892
0.993553685.38370243345651.197144263

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8796.4039212792 & 15253.0483236076 \tabularnewline
0.02 & 16750.1991524251 & 19792.0299534810 \tabularnewline
0.03 & 27527.3846958314 & 27452.4174074422 \tabularnewline
0.04 & 40633.1220389010 & 36350.2756384962 \tabularnewline
0.05 & 55689.3350347718 & 44564.8200062832 \tabularnewline
0.06 & 72215.3079374701 & 50744.6010261631 \tabularnewline
0.07 & 89578.0941994719 & 54311.3084015455 \tabularnewline
0.08 & 107094.781274468 & 55408.5991156854 \tabularnewline
0.09 & 124168.121002241 & 54639.2560623351 \tabularnewline
0.1 & 140374.884848347 & 52744.3426377055 \tabularnewline
0.11 & 155487.529398500 & 50368.8601257249 \tabularnewline
0.12 & 169447.140648505 & 47968.0090173653 \tabularnewline
0.13 & 182315.661438607 & 45825.0903530166 \tabularnewline
0.14 & 194229.163454397 & 44115.9782342064 \tabularnewline
0.15 & 205362.791652214 & 42964.2009618949 \tabularnewline
0.16 & 215908.944856517 & 42470.0592908478 \tabularnewline
0.17 & 226065.545120236 & 42717.0133211697 \tabularnewline
0.18 & 236030.178177484 & 43769.1609278961 \tabularnewline
0.19 & 245996.722334337 & 45667.2399480617 \tabularnewline
0.2 & 256152.374268409 & 48425.0717994397 \tabularnewline
0.21 & 266674.008886857 & 52022.9584062658 \tabularnewline
0.22 & 277723.453301416 & 56403.0216436233 \tabularnewline
0.23 & 289441.660069121 & 61460.5903194866 \tabularnewline
0.24 & 301942.094453570 & 67042.888760394 \tabularnewline
0.25 & 315303.969323402 & 72948.6481897076 \tabularnewline
0.26 & 329566.236850829 & 78936.869650954 \tabularnewline
0.27 & 344723.398471506 & 84740.0779124528 \tabularnewline
0.28 & 360724.149680926 & 90084.6931999369 \tabularnewline
0.29 & 377473.602767091 & 94716.4659697974 \tabularnewline
0.3 & 394839.355869 & 98427.1616065583 \tabularnewline
0.31 & 412661.084921581 & 101075.425474055 \tabularnewline
0.32 & 430762.749315815 & 102603.518336461 \tabularnewline
0.33 & 448966.055062097 & 103039.989419318 \tabularnewline
0.34 & 467103.617768884 & 102496.724043184 \tabularnewline
0.35 & 485030.362285104 & 101149.194193100 \tabularnewline
0.36 & 502632.064146699 & 99217.04733404 \tabularnewline
0.37 & 519830.489411589 & 96935.7599235628 \tabularnewline
0.38 & 536585.189573775 & 94536.4621612648 \tabularnewline
0.39 & 552892.515778395 & 92227.2311095 \tabularnewline
0.4 & 568782.721731444 & 90188.8901213278 \tabularnewline
0.41 & 584316.076892772 & 88572.0554031304 \tabularnewline
0.42 & 599578.728963838 & 87506.850175938 \tabularnewline
0.43 & 614678.714529229 & 87108.642652524 \tabularnewline
0.44 & 629742.130340547 & 87483.1429829761 \tabularnewline
0.45 & 644909.159121493 & 88722.0340049795 \tabularnewline
0.46 & 660329.480368143 & 90893.5837311209 \tabularnewline
0.47 & 676156.629743756 & 94024.0733357098 \tabularnewline
0.48 & 692541.089156857 & 98083.9474979516 \tabularnewline
0.49 & 709622.236445518 & 102975.203343174 \tabularnewline
0.5 & 727519.672303645 & 108533.726189828 \tabularnewline
0.51 & 746324.778040705 & 114530.995105339 \tabularnewline
0.52 & 766093.559178066 & 120695.836752148 \tabularnewline
0.53 & 786841.844337597 & 126739.739851115 \tabularnewline
0.54 & 808543.722618373 & 132374.188312506 \tabularnewline
0.55 & 831133.74165077 & 137349.642935921 \tabularnewline
0.56 & 854512.91187148 & 141468.204150473 \tabularnewline
0.57 & 878558.050223912 & 144607.845817860 \tabularnewline
0.58 & 903133.533960469 & 146734.183477939 \tabularnewline
0.59 & 928104.198348374 & 147897.628150996 \tabularnewline
0.6 & 953347.954599442 & 148231.440721321 \tabularnewline
0.61 & 978766.750111669 & 147931.153387996 \tabularnewline
0.62 & 1004294.73370495 & 147236.313003005 \tabularnewline
0.63 & 1029902.88588296 & 146401.852759050 \tabularnewline
0.64 & 1055599.86708069 & 145671.910628632 \tabularnewline
0.65 & 1081429.35025936 & 145253.557122526 \tabularnewline
0.66 & 1107464.55985218 & 145301.226011567 \tabularnewline
0.67 & 1133801.06732008 & 145905.713675594 \tabularnewline
0.68 & 1160549.04539673 & 147094.31311802 \tabularnewline
0.69 & 1187826.140744 & 148844.752132609 \tabularnewline
0.7 & 1215751.90846106 & 151105.127477300 \tabularnewline
0.71 & 1244444.41862769 & 153805.464834937 \tabularnewline
0.72 & 1274019.27520962 & 156883.102282369 \tabularnewline
0.73 & 1304590.95883016 & 160294.171010629 \tabularnewline
0.74 & 1336276.15744674 & 164016.227416227 \tabularnewline
0.75 & 1369198.55606013 & 168053.79597559 \tabularnewline
0.76 & 1403494.31921693 & 172431.910200392 \tabularnewline
0.77 & 1439317.08769772 & 177198.625281154 \tabularnewline
0.78 & 1476840.65695176 & 182423.827881650 \tabularnewline
0.79 & 1516256.73928455 & 188173.697925674 \tabularnewline
0.8 & 1557764.771402 & 194491.573928444 \tabularnewline
0.81 & 1601551.3558113 & 201327.693782063 \tabularnewline
0.82 & 1647759.46055194 & 208466.565753127 \tabularnewline
0.83 & 1696452.45547915 & 215455.721695625 \tabularnewline
0.84 & 1747585.07482177 & 221594.726877768 \tabularnewline
0.85 & 1801000.90735016 & 226038.773117925 \tabularnewline
0.86 & 1856481.55105251 & 228035.100282169 \tabularnewline
0.87 & 1913873.79274920 & 227284.643814720 \tabularnewline
0.88 & 1973317.12294834 & 224359.146898197 \tabularnewline
0.89 & 2035584.56121482 & 221103.426668660 \tabularnewline
0.9 & 2102531.50103359 & 220938.059493685 \tabularnewline
0.91 & 2177603.91260221 & 228972.485505495 \tabularnewline
0.92 & 2266255.05019454 & 251675.923644991 \tabularnewline
0.93 & 2375927.1961505 & 295475.377581076 \tabularnewline
0.94 & 2515008.99934729 & 363028.822475206 \tabularnewline
0.95 & 2690080.60022973 & 446589.27276298 \tabularnewline
0.96 & 2901187.18079393 & 520985.248964077 \tabularnewline
0.97 & 3136170.37342654 & 544569.532766668 \tabularnewline
0.98 & 3367095.97305102 & 481009.236495892 \tabularnewline
0.99 & 3553685.38370243 & 345651.197144263 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50035&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]8796.4039212792[/C][C]15253.0483236076[/C][/ROW]
[ROW][C]0.02[/C][C]16750.1991524251[/C][C]19792.0299534810[/C][/ROW]
[ROW][C]0.03[/C][C]27527.3846958314[/C][C]27452.4174074422[/C][/ROW]
[ROW][C]0.04[/C][C]40633.1220389010[/C][C]36350.2756384962[/C][/ROW]
[ROW][C]0.05[/C][C]55689.3350347718[/C][C]44564.8200062832[/C][/ROW]
[ROW][C]0.06[/C][C]72215.3079374701[/C][C]50744.6010261631[/C][/ROW]
[ROW][C]0.07[/C][C]89578.0941994719[/C][C]54311.3084015455[/C][/ROW]
[ROW][C]0.08[/C][C]107094.781274468[/C][C]55408.5991156854[/C][/ROW]
[ROW][C]0.09[/C][C]124168.121002241[/C][C]54639.2560623351[/C][/ROW]
[ROW][C]0.1[/C][C]140374.884848347[/C][C]52744.3426377055[/C][/ROW]
[ROW][C]0.11[/C][C]155487.529398500[/C][C]50368.8601257249[/C][/ROW]
[ROW][C]0.12[/C][C]169447.140648505[/C][C]47968.0090173653[/C][/ROW]
[ROW][C]0.13[/C][C]182315.661438607[/C][C]45825.0903530166[/C][/ROW]
[ROW][C]0.14[/C][C]194229.163454397[/C][C]44115.9782342064[/C][/ROW]
[ROW][C]0.15[/C][C]205362.791652214[/C][C]42964.2009618949[/C][/ROW]
[ROW][C]0.16[/C][C]215908.944856517[/C][C]42470.0592908478[/C][/ROW]
[ROW][C]0.17[/C][C]226065.545120236[/C][C]42717.0133211697[/C][/ROW]
[ROW][C]0.18[/C][C]236030.178177484[/C][C]43769.1609278961[/C][/ROW]
[ROW][C]0.19[/C][C]245996.722334337[/C][C]45667.2399480617[/C][/ROW]
[ROW][C]0.2[/C][C]256152.374268409[/C][C]48425.0717994397[/C][/ROW]
[ROW][C]0.21[/C][C]266674.008886857[/C][C]52022.9584062658[/C][/ROW]
[ROW][C]0.22[/C][C]277723.453301416[/C][C]56403.0216436233[/C][/ROW]
[ROW][C]0.23[/C][C]289441.660069121[/C][C]61460.5903194866[/C][/ROW]
[ROW][C]0.24[/C][C]301942.094453570[/C][C]67042.888760394[/C][/ROW]
[ROW][C]0.25[/C][C]315303.969323402[/C][C]72948.6481897076[/C][/ROW]
[ROW][C]0.26[/C][C]329566.236850829[/C][C]78936.869650954[/C][/ROW]
[ROW][C]0.27[/C][C]344723.398471506[/C][C]84740.0779124528[/C][/ROW]
[ROW][C]0.28[/C][C]360724.149680926[/C][C]90084.6931999369[/C][/ROW]
[ROW][C]0.29[/C][C]377473.602767091[/C][C]94716.4659697974[/C][/ROW]
[ROW][C]0.3[/C][C]394839.355869[/C][C]98427.1616065583[/C][/ROW]
[ROW][C]0.31[/C][C]412661.084921581[/C][C]101075.425474055[/C][/ROW]
[ROW][C]0.32[/C][C]430762.749315815[/C][C]102603.518336461[/C][/ROW]
[ROW][C]0.33[/C][C]448966.055062097[/C][C]103039.989419318[/C][/ROW]
[ROW][C]0.34[/C][C]467103.617768884[/C][C]102496.724043184[/C][/ROW]
[ROW][C]0.35[/C][C]485030.362285104[/C][C]101149.194193100[/C][/ROW]
[ROW][C]0.36[/C][C]502632.064146699[/C][C]99217.04733404[/C][/ROW]
[ROW][C]0.37[/C][C]519830.489411589[/C][C]96935.7599235628[/C][/ROW]
[ROW][C]0.38[/C][C]536585.189573775[/C][C]94536.4621612648[/C][/ROW]
[ROW][C]0.39[/C][C]552892.515778395[/C][C]92227.2311095[/C][/ROW]
[ROW][C]0.4[/C][C]568782.721731444[/C][C]90188.8901213278[/C][/ROW]
[ROW][C]0.41[/C][C]584316.076892772[/C][C]88572.0554031304[/C][/ROW]
[ROW][C]0.42[/C][C]599578.728963838[/C][C]87506.850175938[/C][/ROW]
[ROW][C]0.43[/C][C]614678.714529229[/C][C]87108.642652524[/C][/ROW]
[ROW][C]0.44[/C][C]629742.130340547[/C][C]87483.1429829761[/C][/ROW]
[ROW][C]0.45[/C][C]644909.159121493[/C][C]88722.0340049795[/C][/ROW]
[ROW][C]0.46[/C][C]660329.480368143[/C][C]90893.5837311209[/C][/ROW]
[ROW][C]0.47[/C][C]676156.629743756[/C][C]94024.0733357098[/C][/ROW]
[ROW][C]0.48[/C][C]692541.089156857[/C][C]98083.9474979516[/C][/ROW]
[ROW][C]0.49[/C][C]709622.236445518[/C][C]102975.203343174[/C][/ROW]
[ROW][C]0.5[/C][C]727519.672303645[/C][C]108533.726189828[/C][/ROW]
[ROW][C]0.51[/C][C]746324.778040705[/C][C]114530.995105339[/C][/ROW]
[ROW][C]0.52[/C][C]766093.559178066[/C][C]120695.836752148[/C][/ROW]
[ROW][C]0.53[/C][C]786841.844337597[/C][C]126739.739851115[/C][/ROW]
[ROW][C]0.54[/C][C]808543.722618373[/C][C]132374.188312506[/C][/ROW]
[ROW][C]0.55[/C][C]831133.74165077[/C][C]137349.642935921[/C][/ROW]
[ROW][C]0.56[/C][C]854512.91187148[/C][C]141468.204150473[/C][/ROW]
[ROW][C]0.57[/C][C]878558.050223912[/C][C]144607.845817860[/C][/ROW]
[ROW][C]0.58[/C][C]903133.533960469[/C][C]146734.183477939[/C][/ROW]
[ROW][C]0.59[/C][C]928104.198348374[/C][C]147897.628150996[/C][/ROW]
[ROW][C]0.6[/C][C]953347.954599442[/C][C]148231.440721321[/C][/ROW]
[ROW][C]0.61[/C][C]978766.750111669[/C][C]147931.153387996[/C][/ROW]
[ROW][C]0.62[/C][C]1004294.73370495[/C][C]147236.313003005[/C][/ROW]
[ROW][C]0.63[/C][C]1029902.88588296[/C][C]146401.852759050[/C][/ROW]
[ROW][C]0.64[/C][C]1055599.86708069[/C][C]145671.910628632[/C][/ROW]
[ROW][C]0.65[/C][C]1081429.35025936[/C][C]145253.557122526[/C][/ROW]
[ROW][C]0.66[/C][C]1107464.55985218[/C][C]145301.226011567[/C][/ROW]
[ROW][C]0.67[/C][C]1133801.06732008[/C][C]145905.713675594[/C][/ROW]
[ROW][C]0.68[/C][C]1160549.04539673[/C][C]147094.31311802[/C][/ROW]
[ROW][C]0.69[/C][C]1187826.140744[/C][C]148844.752132609[/C][/ROW]
[ROW][C]0.7[/C][C]1215751.90846106[/C][C]151105.127477300[/C][/ROW]
[ROW][C]0.71[/C][C]1244444.41862769[/C][C]153805.464834937[/C][/ROW]
[ROW][C]0.72[/C][C]1274019.27520962[/C][C]156883.102282369[/C][/ROW]
[ROW][C]0.73[/C][C]1304590.95883016[/C][C]160294.171010629[/C][/ROW]
[ROW][C]0.74[/C][C]1336276.15744674[/C][C]164016.227416227[/C][/ROW]
[ROW][C]0.75[/C][C]1369198.55606013[/C][C]168053.79597559[/C][/ROW]
[ROW][C]0.76[/C][C]1403494.31921693[/C][C]172431.910200392[/C][/ROW]
[ROW][C]0.77[/C][C]1439317.08769772[/C][C]177198.625281154[/C][/ROW]
[ROW][C]0.78[/C][C]1476840.65695176[/C][C]182423.827881650[/C][/ROW]
[ROW][C]0.79[/C][C]1516256.73928455[/C][C]188173.697925674[/C][/ROW]
[ROW][C]0.8[/C][C]1557764.771402[/C][C]194491.573928444[/C][/ROW]
[ROW][C]0.81[/C][C]1601551.3558113[/C][C]201327.693782063[/C][/ROW]
[ROW][C]0.82[/C][C]1647759.46055194[/C][C]208466.565753127[/C][/ROW]
[ROW][C]0.83[/C][C]1696452.45547915[/C][C]215455.721695625[/C][/ROW]
[ROW][C]0.84[/C][C]1747585.07482177[/C][C]221594.726877768[/C][/ROW]
[ROW][C]0.85[/C][C]1801000.90735016[/C][C]226038.773117925[/C][/ROW]
[ROW][C]0.86[/C][C]1856481.55105251[/C][C]228035.100282169[/C][/ROW]
[ROW][C]0.87[/C][C]1913873.79274920[/C][C]227284.643814720[/C][/ROW]
[ROW][C]0.88[/C][C]1973317.12294834[/C][C]224359.146898197[/C][/ROW]
[ROW][C]0.89[/C][C]2035584.56121482[/C][C]221103.426668660[/C][/ROW]
[ROW][C]0.9[/C][C]2102531.50103359[/C][C]220938.059493685[/C][/ROW]
[ROW][C]0.91[/C][C]2177603.91260221[/C][C]228972.485505495[/C][/ROW]
[ROW][C]0.92[/C][C]2266255.05019454[/C][C]251675.923644991[/C][/ROW]
[ROW][C]0.93[/C][C]2375927.1961505[/C][C]295475.377581076[/C][/ROW]
[ROW][C]0.94[/C][C]2515008.99934729[/C][C]363028.822475206[/C][/ROW]
[ROW][C]0.95[/C][C]2690080.60022973[/C][C]446589.27276298[/C][/ROW]
[ROW][C]0.96[/C][C]2901187.18079393[/C][C]520985.248964077[/C][/ROW]
[ROW][C]0.97[/C][C]3136170.37342654[/C][C]544569.532766668[/C][/ROW]
[ROW][C]0.98[/C][C]3367095.97305102[/C][C]481009.236495892[/C][/ROW]
[ROW][C]0.99[/C][C]3553685.38370243[/C][C]345651.197144263[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50035&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50035&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
0.018796.403921279215253.0483236076
0.0216750.199152425119792.0299534810
0.0327527.384695831427452.4174074422
0.0440633.122038901036350.2756384962
0.0555689.335034771844564.8200062832
0.0672215.307937470150744.6010261631
0.0789578.094199471954311.3084015455
0.08107094.78127446855408.5991156854
0.09124168.12100224154639.2560623351
0.1140374.88484834752744.3426377055
0.11155487.52939850050368.8601257249
0.12169447.14064850547968.0090173653
0.13182315.66143860745825.0903530166
0.14194229.16345439744115.9782342064
0.15205362.79165221442964.2009618949
0.16215908.94485651742470.0592908478
0.17226065.54512023642717.0133211697
0.18236030.17817748443769.1609278961
0.19245996.72233433745667.2399480617
0.2256152.37426840948425.0717994397
0.21266674.00888685752022.9584062658
0.22277723.45330141656403.0216436233
0.23289441.66006912161460.5903194866
0.24301942.09445357067042.888760394
0.25315303.96932340272948.6481897076
0.26329566.23685082978936.869650954
0.27344723.39847150684740.0779124528
0.28360724.14968092690084.6931999369
0.29377473.60276709194716.4659697974
0.3394839.35586998427.1616065583
0.31412661.084921581101075.425474055
0.32430762.749315815102603.518336461
0.33448966.055062097103039.989419318
0.34467103.617768884102496.724043184
0.35485030.362285104101149.194193100
0.36502632.06414669999217.04733404
0.37519830.48941158996935.7599235628
0.38536585.18957377594536.4621612648
0.39552892.51577839592227.2311095
0.4568782.72173144490188.8901213278
0.41584316.07689277288572.0554031304
0.42599578.72896383887506.850175938
0.43614678.71452922987108.642652524
0.44629742.13034054787483.1429829761
0.45644909.15912149388722.0340049795
0.46660329.48036814390893.5837311209
0.47676156.62974375694024.0733357098
0.48692541.08915685798083.9474979516
0.49709622.236445518102975.203343174
0.5727519.672303645108533.726189828
0.51746324.778040705114530.995105339
0.52766093.559178066120695.836752148
0.53786841.844337597126739.739851115
0.54808543.722618373132374.188312506
0.55831133.74165077137349.642935921
0.56854512.91187148141468.204150473
0.57878558.050223912144607.845817860
0.58903133.533960469146734.183477939
0.59928104.198348374147897.628150996
0.6953347.954599442148231.440721321
0.61978766.750111669147931.153387996
0.621004294.73370495147236.313003005
0.631029902.88588296146401.852759050
0.641055599.86708069145671.910628632
0.651081429.35025936145253.557122526
0.661107464.55985218145301.226011567
0.671133801.06732008145905.713675594
0.681160549.04539673147094.31311802
0.691187826.140744148844.752132609
0.71215751.90846106151105.127477300
0.711244444.41862769153805.464834937
0.721274019.27520962156883.102282369
0.731304590.95883016160294.171010629
0.741336276.15744674164016.227416227
0.751369198.55606013168053.79597559
0.761403494.31921693172431.910200392
0.771439317.08769772177198.625281154
0.781476840.65695176182423.827881650
0.791516256.73928455188173.697925674
0.81557764.771402194491.573928444
0.811601551.3558113201327.693782063
0.821647759.46055194208466.565753127
0.831696452.45547915215455.721695625
0.841747585.07482177221594.726877768
0.851801000.90735016226038.773117925
0.861856481.55105251228035.100282169
0.871913873.79274920227284.643814720
0.881973317.12294834224359.146898197
0.892035584.56121482221103.426668660
0.92102531.50103359220938.059493685
0.912177603.91260221228972.485505495
0.922266255.05019454251675.923644991
0.932375927.1961505295475.377581076
0.942515008.99934729363028.822475206
0.952690080.60022973446589.27276298
0.962901187.18079393520985.248964077
0.973136170.37342654544569.532766668
0.983367095.97305102481009.236495892
0.993553685.38370243345651.197144263


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')