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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 computationSun, 05 Mar 2017 18:15:11 +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/2017/Mar/05/t148873790954ofr6he7nkzoay.htm/, Retrieved Wed, 15 May 2024 19:58:42 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 19:58:42 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.96
98.36
98.36
98.51
98.77
98.78
98.89
98.87
99.05
99.09
99.1
99.12
99.37
99.46
99.6
99.87
99.88
100.01
100.02
100.19
100.2
100.35
100.47
100.57
101.41
101.67
101.82
101.86
101.98
102.06
102.17
102.2
102.35
102.47
102.55
102.62
102.81
102.88
102.94
102.95
102.94
103.05
103.09
103.1
103.14
103.19
103.36
103.43
103.62
103.79
103.9
103.92
103.94
103.98
104.04
104.09
104.16
104.22
104.28
104.32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.04366550446270.325804029462393
0.0298.16079535488650.245634177106984
0.0398.27709626184370.193523670842977
0.0498.37834434170330.181557804365306
0.0598.46530011385880.190734650076683
0.0698.54289995708810.200009380816378
0.0798.61451292616450.201584058540333
0.0898.68124052865060.196058965749433
0.0998.7431488475770.187602527203247
0.198.80037500143630.180264207756782
0.1198.8535542079820.176688692716305
0.1298.90375945246410.177804111469434
0.1398.95226951637770.183692964406299
0.1499.00036007466980.193970317455732
0.1599.04917688495330.2082146416307
0.1699.09967498164780.225994340295019
0.1799.15258948096670.246369231191433
0.1899.20841546057530.268277547063517
0.1999.26739288798530.290244093691822
0.299.3295047799640.311046704304263
0.2199.39449923690450.329399530934953
0.2299.4619409995760.344482592142603
0.2399.53129004778740.356054246819069
0.2499.60199736985650.364392145665125
0.2599.67360365343830.370467212116047
0.2699.74582587709990.375638254055929
0.2799.81861902615080.381468332012255
0.2899.89220428824070.38988326254567
0.2999.96705997185410.402523095112814
0.3100.0438761893260.420517880901753
0.31100.1234785605380.444545952302549
0.32100.2067295899180.474421466484265
0.33100.2944188314570.509045452728921
0.34100.3871543694240.546892850658849
0.35100.4852683504410.58559497466254
0.36100.5887481460550.622589062747668
0.37100.6972021345060.655470731540978
0.38100.8098651904780.681897694442995
0.39100.9256441457450.69987973671879
0.4101.0431983644660.708381971940483
0.41101.1610459518720.706584592749627
0.42101.2776827660170.694962670679419
0.43101.3916999251090.674646790723857
0.44101.5018861594970.647130866212129
0.45101.6073040058720.614538849878373
0.46101.7073329658190.578907802877344
0.47101.8016775825320.542543896976625
0.48101.8903430817960.507337788475574
0.49101.9735850350110.474851036162006
0.5102.0518419372430.44598582414257
0.51102.1256604704550.421046233912931
0.52102.1956226610110.400234477163683
0.53102.2622824853520.382835649233031
0.54102.3261171837060.368250001801498
0.55102.3874960623530.35543814670738
0.56102.4466672665870.343620564641019
0.57102.5037611250630.331979630174826
0.58102.5588073068940.319947208323763
0.59102.6117622000830.307099129632657
0.6102.6625425589210.293349232449749
0.61102.7110615018490.278643755998141
0.62102.7572632915420.263376821428531
0.63102.8011539183560.247984359000128
0.64102.8428252526220.233074866517909
0.65102.8824713308730.219340665358268
0.66102.9203960828750.207343209461453
0.67102.9570123816750.197990958151562
0.68102.992832634080.191762399190126
0.69103.0284512177230.189145350484717
0.7103.0645189944910.190312608719239
0.71103.1017100529050.195459928351831
0.72103.1406809674630.204127698491
0.73103.1820234130040.215952828545463
0.74103.226212056660.229910543847334
0.75103.2735512390270.244942392428533
0.76103.3241258279110.25967896934438
0.77103.3777633627040.272817167156684
0.78103.4340156316570.282806927557881
0.79103.4921675117660.288273492040822
0.8103.5512787306910.288260369434985
0.81103.6102599685460.282222102770077
0.82103.6679787026460.270177348216751
0.83103.7233833525990.252754911141046
0.84103.775628157920.231252984339363
0.85103.8241776924080.2073989011847
0.86103.8688706526860.183290154842736
0.87103.9099283285330.160826598980264
0.88103.9479032986110.141713811190218
0.89103.983576141950.126871011366946
0.9104.0178189710740.11635901556867
0.91104.0514510370970.10945396894744
0.92104.0851115111830.104759992330403
0.93104.1191679655440.100781435738118
0.94104.1536676549750.0960889425269694
0.95104.188321912280.089612350593142
0.96104.2224850181190.0806244194246084
0.97104.2550455528730.0689569245642191
0.98104.2841492724830.0557489197754894
0.99104.3069174724090.0445899491805695

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.0436655044627 & 0.325804029462393 \tabularnewline
0.02 & 98.1607953548865 & 0.245634177106984 \tabularnewline
0.03 & 98.2770962618437 & 0.193523670842977 \tabularnewline
0.04 & 98.3783443417033 & 0.181557804365306 \tabularnewline
0.05 & 98.4653001138588 & 0.190734650076683 \tabularnewline
0.06 & 98.5428999570881 & 0.200009380816378 \tabularnewline
0.07 & 98.6145129261645 & 0.201584058540333 \tabularnewline
0.08 & 98.6812405286506 & 0.196058965749433 \tabularnewline
0.09 & 98.743148847577 & 0.187602527203247 \tabularnewline
0.1 & 98.8003750014363 & 0.180264207756782 \tabularnewline
0.11 & 98.853554207982 & 0.176688692716305 \tabularnewline
0.12 & 98.9037594524641 & 0.177804111469434 \tabularnewline
0.13 & 98.9522695163777 & 0.183692964406299 \tabularnewline
0.14 & 99.0003600746698 & 0.193970317455732 \tabularnewline
0.15 & 99.0491768849533 & 0.2082146416307 \tabularnewline
0.16 & 99.0996749816478 & 0.225994340295019 \tabularnewline
0.17 & 99.1525894809667 & 0.246369231191433 \tabularnewline
0.18 & 99.2084154605753 & 0.268277547063517 \tabularnewline
0.19 & 99.2673928879853 & 0.290244093691822 \tabularnewline
0.2 & 99.329504779964 & 0.311046704304263 \tabularnewline
0.21 & 99.3944992369045 & 0.329399530934953 \tabularnewline
0.22 & 99.461940999576 & 0.344482592142603 \tabularnewline
0.23 & 99.5312900477874 & 0.356054246819069 \tabularnewline
0.24 & 99.6019973698565 & 0.364392145665125 \tabularnewline
0.25 & 99.6736036534383 & 0.370467212116047 \tabularnewline
0.26 & 99.7458258770999 & 0.375638254055929 \tabularnewline
0.27 & 99.8186190261508 & 0.381468332012255 \tabularnewline
0.28 & 99.8922042882407 & 0.38988326254567 \tabularnewline
0.29 & 99.9670599718541 & 0.402523095112814 \tabularnewline
0.3 & 100.043876189326 & 0.420517880901753 \tabularnewline
0.31 & 100.123478560538 & 0.444545952302549 \tabularnewline
0.32 & 100.206729589918 & 0.474421466484265 \tabularnewline
0.33 & 100.294418831457 & 0.509045452728921 \tabularnewline
0.34 & 100.387154369424 & 0.546892850658849 \tabularnewline
0.35 & 100.485268350441 & 0.58559497466254 \tabularnewline
0.36 & 100.588748146055 & 0.622589062747668 \tabularnewline
0.37 & 100.697202134506 & 0.655470731540978 \tabularnewline
0.38 & 100.809865190478 & 0.681897694442995 \tabularnewline
0.39 & 100.925644145745 & 0.69987973671879 \tabularnewline
0.4 & 101.043198364466 & 0.708381971940483 \tabularnewline
0.41 & 101.161045951872 & 0.706584592749627 \tabularnewline
0.42 & 101.277682766017 & 0.694962670679419 \tabularnewline
0.43 & 101.391699925109 & 0.674646790723857 \tabularnewline
0.44 & 101.501886159497 & 0.647130866212129 \tabularnewline
0.45 & 101.607304005872 & 0.614538849878373 \tabularnewline
0.46 & 101.707332965819 & 0.578907802877344 \tabularnewline
0.47 & 101.801677582532 & 0.542543896976625 \tabularnewline
0.48 & 101.890343081796 & 0.507337788475574 \tabularnewline
0.49 & 101.973585035011 & 0.474851036162006 \tabularnewline
0.5 & 102.051841937243 & 0.44598582414257 \tabularnewline
0.51 & 102.125660470455 & 0.421046233912931 \tabularnewline
0.52 & 102.195622661011 & 0.400234477163683 \tabularnewline
0.53 & 102.262282485352 & 0.382835649233031 \tabularnewline
0.54 & 102.326117183706 & 0.368250001801498 \tabularnewline
0.55 & 102.387496062353 & 0.35543814670738 \tabularnewline
0.56 & 102.446667266587 & 0.343620564641019 \tabularnewline
0.57 & 102.503761125063 & 0.331979630174826 \tabularnewline
0.58 & 102.558807306894 & 0.319947208323763 \tabularnewline
0.59 & 102.611762200083 & 0.307099129632657 \tabularnewline
0.6 & 102.662542558921 & 0.293349232449749 \tabularnewline
0.61 & 102.711061501849 & 0.278643755998141 \tabularnewline
0.62 & 102.757263291542 & 0.263376821428531 \tabularnewline
0.63 & 102.801153918356 & 0.247984359000128 \tabularnewline
0.64 & 102.842825252622 & 0.233074866517909 \tabularnewline
0.65 & 102.882471330873 & 0.219340665358268 \tabularnewline
0.66 & 102.920396082875 & 0.207343209461453 \tabularnewline
0.67 & 102.957012381675 & 0.197990958151562 \tabularnewline
0.68 & 102.99283263408 & 0.191762399190126 \tabularnewline
0.69 & 103.028451217723 & 0.189145350484717 \tabularnewline
0.7 & 103.064518994491 & 0.190312608719239 \tabularnewline
0.71 & 103.101710052905 & 0.195459928351831 \tabularnewline
0.72 & 103.140680967463 & 0.204127698491 \tabularnewline
0.73 & 103.182023413004 & 0.215952828545463 \tabularnewline
0.74 & 103.22621205666 & 0.229910543847334 \tabularnewline
0.75 & 103.273551239027 & 0.244942392428533 \tabularnewline
0.76 & 103.324125827911 & 0.25967896934438 \tabularnewline
0.77 & 103.377763362704 & 0.272817167156684 \tabularnewline
0.78 & 103.434015631657 & 0.282806927557881 \tabularnewline
0.79 & 103.492167511766 & 0.288273492040822 \tabularnewline
0.8 & 103.551278730691 & 0.288260369434985 \tabularnewline
0.81 & 103.610259968546 & 0.282222102770077 \tabularnewline
0.82 & 103.667978702646 & 0.270177348216751 \tabularnewline
0.83 & 103.723383352599 & 0.252754911141046 \tabularnewline
0.84 & 103.77562815792 & 0.231252984339363 \tabularnewline
0.85 & 103.824177692408 & 0.2073989011847 \tabularnewline
0.86 & 103.868870652686 & 0.183290154842736 \tabularnewline
0.87 & 103.909928328533 & 0.160826598980264 \tabularnewline
0.88 & 103.947903298611 & 0.141713811190218 \tabularnewline
0.89 & 103.98357614195 & 0.126871011366946 \tabularnewline
0.9 & 104.017818971074 & 0.11635901556867 \tabularnewline
0.91 & 104.051451037097 & 0.10945396894744 \tabularnewline
0.92 & 104.085111511183 & 0.104759992330403 \tabularnewline
0.93 & 104.119167965544 & 0.100781435738118 \tabularnewline
0.94 & 104.153667654975 & 0.0960889425269694 \tabularnewline
0.95 & 104.18832191228 & 0.089612350593142 \tabularnewline
0.96 & 104.222485018119 & 0.0806244194246084 \tabularnewline
0.97 & 104.255045552873 & 0.0689569245642191 \tabularnewline
0.98 & 104.284149272483 & 0.0557489197754894 \tabularnewline
0.99 & 104.306917472409 & 0.0445899491805695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]98.0436655044627[/C][C]0.325804029462393[/C][/ROW]
[ROW][C]0.02[/C][C]98.1607953548865[/C][C]0.245634177106984[/C][/ROW]
[ROW][C]0.03[/C][C]98.2770962618437[/C][C]0.193523670842977[/C][/ROW]
[ROW][C]0.04[/C][C]98.3783443417033[/C][C]0.181557804365306[/C][/ROW]
[ROW][C]0.05[/C][C]98.4653001138588[/C][C]0.190734650076683[/C][/ROW]
[ROW][C]0.06[/C][C]98.5428999570881[/C][C]0.200009380816378[/C][/ROW]
[ROW][C]0.07[/C][C]98.6145129261645[/C][C]0.201584058540333[/C][/ROW]
[ROW][C]0.08[/C][C]98.6812405286506[/C][C]0.196058965749433[/C][/ROW]
[ROW][C]0.09[/C][C]98.743148847577[/C][C]0.187602527203247[/C][/ROW]
[ROW][C]0.1[/C][C]98.8003750014363[/C][C]0.180264207756782[/C][/ROW]
[ROW][C]0.11[/C][C]98.853554207982[/C][C]0.176688692716305[/C][/ROW]
[ROW][C]0.12[/C][C]98.9037594524641[/C][C]0.177804111469434[/C][/ROW]
[ROW][C]0.13[/C][C]98.9522695163777[/C][C]0.183692964406299[/C][/ROW]
[ROW][C]0.14[/C][C]99.0003600746698[/C][C]0.193970317455732[/C][/ROW]
[ROW][C]0.15[/C][C]99.0491768849533[/C][C]0.2082146416307[/C][/ROW]
[ROW][C]0.16[/C][C]99.0996749816478[/C][C]0.225994340295019[/C][/ROW]
[ROW][C]0.17[/C][C]99.1525894809667[/C][C]0.246369231191433[/C][/ROW]
[ROW][C]0.18[/C][C]99.2084154605753[/C][C]0.268277547063517[/C][/ROW]
[ROW][C]0.19[/C][C]99.2673928879853[/C][C]0.290244093691822[/C][/ROW]
[ROW][C]0.2[/C][C]99.329504779964[/C][C]0.311046704304263[/C][/ROW]
[ROW][C]0.21[/C][C]99.3944992369045[/C][C]0.329399530934953[/C][/ROW]
[ROW][C]0.22[/C][C]99.461940999576[/C][C]0.344482592142603[/C][/ROW]
[ROW][C]0.23[/C][C]99.5312900477874[/C][C]0.356054246819069[/C][/ROW]
[ROW][C]0.24[/C][C]99.6019973698565[/C][C]0.364392145665125[/C][/ROW]
[ROW][C]0.25[/C][C]99.6736036534383[/C][C]0.370467212116047[/C][/ROW]
[ROW][C]0.26[/C][C]99.7458258770999[/C][C]0.375638254055929[/C][/ROW]
[ROW][C]0.27[/C][C]99.8186190261508[/C][C]0.381468332012255[/C][/ROW]
[ROW][C]0.28[/C][C]99.8922042882407[/C][C]0.38988326254567[/C][/ROW]
[ROW][C]0.29[/C][C]99.9670599718541[/C][C]0.402523095112814[/C][/ROW]
[ROW][C]0.3[/C][C]100.043876189326[/C][C]0.420517880901753[/C][/ROW]
[ROW][C]0.31[/C][C]100.123478560538[/C][C]0.444545952302549[/C][/ROW]
[ROW][C]0.32[/C][C]100.206729589918[/C][C]0.474421466484265[/C][/ROW]
[ROW][C]0.33[/C][C]100.294418831457[/C][C]0.509045452728921[/C][/ROW]
[ROW][C]0.34[/C][C]100.387154369424[/C][C]0.546892850658849[/C][/ROW]
[ROW][C]0.35[/C][C]100.485268350441[/C][C]0.58559497466254[/C][/ROW]
[ROW][C]0.36[/C][C]100.588748146055[/C][C]0.622589062747668[/C][/ROW]
[ROW][C]0.37[/C][C]100.697202134506[/C][C]0.655470731540978[/C][/ROW]
[ROW][C]0.38[/C][C]100.809865190478[/C][C]0.681897694442995[/C][/ROW]
[ROW][C]0.39[/C][C]100.925644145745[/C][C]0.69987973671879[/C][/ROW]
[ROW][C]0.4[/C][C]101.043198364466[/C][C]0.708381971940483[/C][/ROW]
[ROW][C]0.41[/C][C]101.161045951872[/C][C]0.706584592749627[/C][/ROW]
[ROW][C]0.42[/C][C]101.277682766017[/C][C]0.694962670679419[/C][/ROW]
[ROW][C]0.43[/C][C]101.391699925109[/C][C]0.674646790723857[/C][/ROW]
[ROW][C]0.44[/C][C]101.501886159497[/C][C]0.647130866212129[/C][/ROW]
[ROW][C]0.45[/C][C]101.607304005872[/C][C]0.614538849878373[/C][/ROW]
[ROW][C]0.46[/C][C]101.707332965819[/C][C]0.578907802877344[/C][/ROW]
[ROW][C]0.47[/C][C]101.801677582532[/C][C]0.542543896976625[/C][/ROW]
[ROW][C]0.48[/C][C]101.890343081796[/C][C]0.507337788475574[/C][/ROW]
[ROW][C]0.49[/C][C]101.973585035011[/C][C]0.474851036162006[/C][/ROW]
[ROW][C]0.5[/C][C]102.051841937243[/C][C]0.44598582414257[/C][/ROW]
[ROW][C]0.51[/C][C]102.125660470455[/C][C]0.421046233912931[/C][/ROW]
[ROW][C]0.52[/C][C]102.195622661011[/C][C]0.400234477163683[/C][/ROW]
[ROW][C]0.53[/C][C]102.262282485352[/C][C]0.382835649233031[/C][/ROW]
[ROW][C]0.54[/C][C]102.326117183706[/C][C]0.368250001801498[/C][/ROW]
[ROW][C]0.55[/C][C]102.387496062353[/C][C]0.35543814670738[/C][/ROW]
[ROW][C]0.56[/C][C]102.446667266587[/C][C]0.343620564641019[/C][/ROW]
[ROW][C]0.57[/C][C]102.503761125063[/C][C]0.331979630174826[/C][/ROW]
[ROW][C]0.58[/C][C]102.558807306894[/C][C]0.319947208323763[/C][/ROW]
[ROW][C]0.59[/C][C]102.611762200083[/C][C]0.307099129632657[/C][/ROW]
[ROW][C]0.6[/C][C]102.662542558921[/C][C]0.293349232449749[/C][/ROW]
[ROW][C]0.61[/C][C]102.711061501849[/C][C]0.278643755998141[/C][/ROW]
[ROW][C]0.62[/C][C]102.757263291542[/C][C]0.263376821428531[/C][/ROW]
[ROW][C]0.63[/C][C]102.801153918356[/C][C]0.247984359000128[/C][/ROW]
[ROW][C]0.64[/C][C]102.842825252622[/C][C]0.233074866517909[/C][/ROW]
[ROW][C]0.65[/C][C]102.882471330873[/C][C]0.219340665358268[/C][/ROW]
[ROW][C]0.66[/C][C]102.920396082875[/C][C]0.207343209461453[/C][/ROW]
[ROW][C]0.67[/C][C]102.957012381675[/C][C]0.197990958151562[/C][/ROW]
[ROW][C]0.68[/C][C]102.99283263408[/C][C]0.191762399190126[/C][/ROW]
[ROW][C]0.69[/C][C]103.028451217723[/C][C]0.189145350484717[/C][/ROW]
[ROW][C]0.7[/C][C]103.064518994491[/C][C]0.190312608719239[/C][/ROW]
[ROW][C]0.71[/C][C]103.101710052905[/C][C]0.195459928351831[/C][/ROW]
[ROW][C]0.72[/C][C]103.140680967463[/C][C]0.204127698491[/C][/ROW]
[ROW][C]0.73[/C][C]103.182023413004[/C][C]0.215952828545463[/C][/ROW]
[ROW][C]0.74[/C][C]103.22621205666[/C][C]0.229910543847334[/C][/ROW]
[ROW][C]0.75[/C][C]103.273551239027[/C][C]0.244942392428533[/C][/ROW]
[ROW][C]0.76[/C][C]103.324125827911[/C][C]0.25967896934438[/C][/ROW]
[ROW][C]0.77[/C][C]103.377763362704[/C][C]0.272817167156684[/C][/ROW]
[ROW][C]0.78[/C][C]103.434015631657[/C][C]0.282806927557881[/C][/ROW]
[ROW][C]0.79[/C][C]103.492167511766[/C][C]0.288273492040822[/C][/ROW]
[ROW][C]0.8[/C][C]103.551278730691[/C][C]0.288260369434985[/C][/ROW]
[ROW][C]0.81[/C][C]103.610259968546[/C][C]0.282222102770077[/C][/ROW]
[ROW][C]0.82[/C][C]103.667978702646[/C][C]0.270177348216751[/C][/ROW]
[ROW][C]0.83[/C][C]103.723383352599[/C][C]0.252754911141046[/C][/ROW]
[ROW][C]0.84[/C][C]103.77562815792[/C][C]0.231252984339363[/C][/ROW]
[ROW][C]0.85[/C][C]103.824177692408[/C][C]0.2073989011847[/C][/ROW]
[ROW][C]0.86[/C][C]103.868870652686[/C][C]0.183290154842736[/C][/ROW]
[ROW][C]0.87[/C][C]103.909928328533[/C][C]0.160826598980264[/C][/ROW]
[ROW][C]0.88[/C][C]103.947903298611[/C][C]0.141713811190218[/C][/ROW]
[ROW][C]0.89[/C][C]103.98357614195[/C][C]0.126871011366946[/C][/ROW]
[ROW][C]0.9[/C][C]104.017818971074[/C][C]0.11635901556867[/C][/ROW]
[ROW][C]0.91[/C][C]104.051451037097[/C][C]0.10945396894744[/C][/ROW]
[ROW][C]0.92[/C][C]104.085111511183[/C][C]0.104759992330403[/C][/ROW]
[ROW][C]0.93[/C][C]104.119167965544[/C][C]0.100781435738118[/C][/ROW]
[ROW][C]0.94[/C][C]104.153667654975[/C][C]0.0960889425269694[/C][/ROW]
[ROW][C]0.95[/C][C]104.18832191228[/C][C]0.089612350593142[/C][/ROW]
[ROW][C]0.96[/C][C]104.222485018119[/C][C]0.0806244194246084[/C][/ROW]
[ROW][C]0.97[/C][C]104.255045552873[/C][C]0.0689569245642191[/C][/ROW]
[ROW][C]0.98[/C][C]104.284149272483[/C][C]0.0557489197754894[/C][/ROW]
[ROW][C]0.99[/C][C]104.306917472409[/C][C]0.0445899491805695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0198.04366550446270.325804029462393
0.0298.16079535488650.245634177106984
0.0398.27709626184370.193523670842977
0.0498.37834434170330.181557804365306
0.0598.46530011385880.190734650076683
0.0698.54289995708810.200009380816378
0.0798.61451292616450.201584058540333
0.0898.68124052865060.196058965749433
0.0998.7431488475770.187602527203247
0.198.80037500143630.180264207756782
0.1198.8535542079820.176688692716305
0.1298.90375945246410.177804111469434
0.1398.95226951637770.183692964406299
0.1499.00036007466980.193970317455732
0.1599.04917688495330.2082146416307
0.1699.09967498164780.225994340295019
0.1799.15258948096670.246369231191433
0.1899.20841546057530.268277547063517
0.1999.26739288798530.290244093691822
0.299.3295047799640.311046704304263
0.2199.39449923690450.329399530934953
0.2299.4619409995760.344482592142603
0.2399.53129004778740.356054246819069
0.2499.60199736985650.364392145665125
0.2599.67360365343830.370467212116047
0.2699.74582587709990.375638254055929
0.2799.81861902615080.381468332012255
0.2899.89220428824070.38988326254567
0.2999.96705997185410.402523095112814
0.3100.0438761893260.420517880901753
0.31100.1234785605380.444545952302549
0.32100.2067295899180.474421466484265
0.33100.2944188314570.509045452728921
0.34100.3871543694240.546892850658849
0.35100.4852683504410.58559497466254
0.36100.5887481460550.622589062747668
0.37100.6972021345060.655470731540978
0.38100.8098651904780.681897694442995
0.39100.9256441457450.69987973671879
0.4101.0431983644660.708381971940483
0.41101.1610459518720.706584592749627
0.42101.2776827660170.694962670679419
0.43101.3916999251090.674646790723857
0.44101.5018861594970.647130866212129
0.45101.6073040058720.614538849878373
0.46101.7073329658190.578907802877344
0.47101.8016775825320.542543896976625
0.48101.8903430817960.507337788475574
0.49101.9735850350110.474851036162006
0.5102.0518419372430.44598582414257
0.51102.1256604704550.421046233912931
0.52102.1956226610110.400234477163683
0.53102.2622824853520.382835649233031
0.54102.3261171837060.368250001801498
0.55102.3874960623530.35543814670738
0.56102.4466672665870.343620564641019
0.57102.5037611250630.331979630174826
0.58102.5588073068940.319947208323763
0.59102.6117622000830.307099129632657
0.6102.6625425589210.293349232449749
0.61102.7110615018490.278643755998141
0.62102.7572632915420.263376821428531
0.63102.8011539183560.247984359000128
0.64102.8428252526220.233074866517909
0.65102.8824713308730.219340665358268
0.66102.9203960828750.207343209461453
0.67102.9570123816750.197990958151562
0.68102.992832634080.191762399190126
0.69103.0284512177230.189145350484717
0.7103.0645189944910.190312608719239
0.71103.1017100529050.195459928351831
0.72103.1406809674630.204127698491
0.73103.1820234130040.215952828545463
0.74103.226212056660.229910543847334
0.75103.2735512390270.244942392428533
0.76103.3241258279110.25967896934438
0.77103.3777633627040.272817167156684
0.78103.4340156316570.282806927557881
0.79103.4921675117660.288273492040822
0.8103.5512787306910.288260369434985
0.81103.6102599685460.282222102770077
0.82103.6679787026460.270177348216751
0.83103.7233833525990.252754911141046
0.84103.775628157920.231252984339363
0.85103.8241776924080.2073989011847
0.86103.8688706526860.183290154842736
0.87103.9099283285330.160826598980264
0.88103.9479032986110.141713811190218
0.89103.983576141950.126871011366946
0.9104.0178189710740.11635901556867
0.91104.0514510370970.10945396894744
0.92104.0851115111830.104759992330403
0.93104.1191679655440.100781435738118
0.94104.1536676549750.0960889425269694
0.95104.188321912280.089612350593142
0.96104.2224850181190.0806244194246084
0.97104.2550455528730.0689569245642191
0.98104.2841492724830.0557489197754894
0.99104.3069174724090.0445899491805695


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')