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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 computationTue, 02 Nov 2010 18:56:22 +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/2010/Nov/02/t1288724092dpmpmrtec6upe5f.htm/, Retrieved Sun, 28 Apr 2024 02:52:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=91970, Retrieved Sun, 28 Apr 2024 02:52:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

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] [W5-part2] [2010-11-02 14:21:02] [5ddc7dfb25e070b079c4c8fcccc4d42e]
-         [Harrell-Davis Quantiles] [ws5p2] [2010-11-02 18:56:22] [5f761c4a622da19727fd2adf71158b48] [Current]
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Dataset

Dataseries X:
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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'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91970&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91970&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.00110.00046381084430.666631065677849
0.00210.00093375051420.666594834816087
0.00310.00140984167960.666557974393468
0.00410.00189210683570.666520484727641
0.00510.00238056830160.666481730359017
0.00610.00287524821970.666443937175747
0.00710.00337616855420.666404561798287
0.00810.00388335109070.666363922722157
0.00910.00439681743430.666323610241681
0.0110.00491658900950.666281397992565
0.01110.00544268705860.666239195766942
0.01210.00597513264090.666197002946004
0.01310.00651394663210.666153548335545
0.01410.00705914972260.666108832312147
0.01510.00761076241730.666064762604358
0.01610.00816880503420.666019115290472
0.01710.00873329770390.665973479423073
0.01810.00930426036810.665926583839927
0.01910.00988171277960.665878747970629
0.0210.01046567450050.665829650944162
0.02110.01105616490210.66578152434902
0.02210.01165320316350.665731184973318
0.02310.01225680827130.665680859684391
0.02410.01286699901830.665629596738222
0.02510.01348379400300.6655777131294
0.02610.01410721162890.665524893060517
0.02710.01473727010340.665471453393722
0.02810.01537398743730.66541739459571
0.02910.01601738144410.665361765344824
0.0310.01666746973890.665307109477181
0.03110.01732426973830.665250564681047
0.03210.01798779865920.665192447222817
0.03310.01865807351820.665135309280112
0.03410.01933511113120.665075964075477
0.03510.02001892811260.665016959730385
0.03610.02070954087450.664956069344936
0.03710.02140696562630.664894885442947
0.03810.02211121837380.664832452523294
0.03910.02282231491920.664770048145998
0.0410.02354027085980.664706396213764
0.04110.02426510158800.664642133063498
0.04210.02499682229020.664577265288468
0.04310.02573544794690.66451083104968
0.04410.02648099333180.664443793920784
0.04510.02723347301110.664376148468917
0.04610.02799290134350.664307580812519
0.04710.02875929247950.664238727629954
0.04810.02953266036080.664167996808694
0.04910.03031301871990.664096982108603
0.0510.03110038107980.664024412935216
0.05110.03189476075360.66395219754749
0.05210.03269617084390.663878107698218
0.05310.03350462424240.663804381643002
0.05410.03432013362990.663728460973258
0.05510.03514271147530.663652262049748
0.05610.03597237003600.66357547248063
0.05710.03680912135700.663496490468468
0.05810.03765297727060.663418513991069
0.05910.03850394939650.663338669414502
0.0610.03936204914120.663257916039114
0.06110.04022728769780.663175932009892
0.06210.04109967604550.663092728424684
0.06310.04197922494990.663009255085117
0.06410.04286594496230.662925513110319
0.06510.04375984641960.662840555560763
0.06610.04466093944400.662753736858152
0.06710.04556923394320.662666652969869
0.06810.04648473960980.662578669322041
0.06910.04740746592110.662490111047806
0.0710.04833742213950.662400019929143
0.07110.04927461731170.662308708724373
0.07210.0502190602690.662216826951185
0.07310.05117075962710.662123416045653
0.07410.05212972378580.662030073363926
0.07510.05309596092950.661934879612443
0.07610.05406947902620.661839756927366
0.07710.05505028582830.661743110533583
0.07810.05603838887240.661645902670164
0.07910.05703379547870.661546848722311
0.0810.05803651275180.661447236286107
0.08110.05904654758000.661346105823295
0.08210.06006390663600.661245055932116
0.08310.06108859637620.661142817025227
0.08410.06212062304140.661038738819043
0.08510.06315999265650.660933784233864
0.08610.06420671103060.660828607495436
0.08710.06526078375710.660722557903944
0.08810.06632221621400.660615001235627
0.08910.06739101356360.660505938990441
0.0910.06846718075320.660395699717593
0.09110.06955072251470.660286192512513
0.09210.07064164336500.66017391358676
0.09310.07173994760610.660061407264507
0.09410.07284563932560.659948059150019
0.09510.07395872239610.659833216116713
0.09610.07507920047650.65971718741013
0.09710.07620707701110.659600323124052
0.09810.07734235523080.659482933226458
0.09910.07848503815270.659363091431767
0.110.07963512858050.659243056480634

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.001 & 10.0004638108443 & 0.666631065677849 \tabularnewline
0.002 & 10.0009337505142 & 0.666594834816087 \tabularnewline
0.003 & 10.0014098416796 & 0.666557974393468 \tabularnewline
0.004 & 10.0018921068357 & 0.666520484727641 \tabularnewline
0.005 & 10.0023805683016 & 0.666481730359017 \tabularnewline
0.006 & 10.0028752482197 & 0.666443937175747 \tabularnewline
0.007 & 10.0033761685542 & 0.666404561798287 \tabularnewline
0.008 & 10.0038833510907 & 0.666363922722157 \tabularnewline
0.009 & 10.0043968174343 & 0.666323610241681 \tabularnewline
0.01 & 10.0049165890095 & 0.666281397992565 \tabularnewline
0.011 & 10.0054426870586 & 0.666239195766942 \tabularnewline
0.012 & 10.0059751326409 & 0.666197002946004 \tabularnewline
0.013 & 10.0065139466321 & 0.666153548335545 \tabularnewline
0.014 & 10.0070591497226 & 0.666108832312147 \tabularnewline
0.015 & 10.0076107624173 & 0.666064762604358 \tabularnewline
0.016 & 10.0081688050342 & 0.666019115290472 \tabularnewline
0.017 & 10.0087332977039 & 0.665973479423073 \tabularnewline
0.018 & 10.0093042603681 & 0.665926583839927 \tabularnewline
0.019 & 10.0098817127796 & 0.665878747970629 \tabularnewline
0.02 & 10.0104656745005 & 0.665829650944162 \tabularnewline
0.021 & 10.0110561649021 & 0.66578152434902 \tabularnewline
0.022 & 10.0116532031635 & 0.665731184973318 \tabularnewline
0.023 & 10.0122568082713 & 0.665680859684391 \tabularnewline
0.024 & 10.0128669990183 & 0.665629596738222 \tabularnewline
0.025 & 10.0134837940030 & 0.6655777131294 \tabularnewline
0.026 & 10.0141072116289 & 0.665524893060517 \tabularnewline
0.027 & 10.0147372701034 & 0.665471453393722 \tabularnewline
0.028 & 10.0153739874373 & 0.66541739459571 \tabularnewline
0.029 & 10.0160173814441 & 0.665361765344824 \tabularnewline
0.03 & 10.0166674697389 & 0.665307109477181 \tabularnewline
0.031 & 10.0173242697383 & 0.665250564681047 \tabularnewline
0.032 & 10.0179877986592 & 0.665192447222817 \tabularnewline
0.033 & 10.0186580735182 & 0.665135309280112 \tabularnewline
0.034 & 10.0193351111312 & 0.665075964075477 \tabularnewline
0.035 & 10.0200189281126 & 0.665016959730385 \tabularnewline
0.036 & 10.0207095408745 & 0.664956069344936 \tabularnewline
0.037 & 10.0214069656263 & 0.664894885442947 \tabularnewline
0.038 & 10.0221112183738 & 0.664832452523294 \tabularnewline
0.039 & 10.0228223149192 & 0.664770048145998 \tabularnewline
0.04 & 10.0235402708598 & 0.664706396213764 \tabularnewline
0.041 & 10.0242651015880 & 0.664642133063498 \tabularnewline
0.042 & 10.0249968222902 & 0.664577265288468 \tabularnewline
0.043 & 10.0257354479469 & 0.66451083104968 \tabularnewline
0.044 & 10.0264809933318 & 0.664443793920784 \tabularnewline
0.045 & 10.0272334730111 & 0.664376148468917 \tabularnewline
0.046 & 10.0279929013435 & 0.664307580812519 \tabularnewline
0.047 & 10.0287592924795 & 0.664238727629954 \tabularnewline
0.048 & 10.0295326603608 & 0.664167996808694 \tabularnewline
0.049 & 10.0303130187199 & 0.664096982108603 \tabularnewline
0.05 & 10.0311003810798 & 0.664024412935216 \tabularnewline
0.051 & 10.0318947607536 & 0.66395219754749 \tabularnewline
0.052 & 10.0326961708439 & 0.663878107698218 \tabularnewline
0.053 & 10.0335046242424 & 0.663804381643002 \tabularnewline
0.054 & 10.0343201336299 & 0.663728460973258 \tabularnewline
0.055 & 10.0351427114753 & 0.663652262049748 \tabularnewline
0.056 & 10.0359723700360 & 0.66357547248063 \tabularnewline
0.057 & 10.0368091213570 & 0.663496490468468 \tabularnewline
0.058 & 10.0376529772706 & 0.663418513991069 \tabularnewline
0.059 & 10.0385039493965 & 0.663338669414502 \tabularnewline
0.06 & 10.0393620491412 & 0.663257916039114 \tabularnewline
0.061 & 10.0402272876978 & 0.663175932009892 \tabularnewline
0.062 & 10.0410996760455 & 0.663092728424684 \tabularnewline
0.063 & 10.0419792249499 & 0.663009255085117 \tabularnewline
0.064 & 10.0428659449623 & 0.662925513110319 \tabularnewline
0.065 & 10.0437598464196 & 0.662840555560763 \tabularnewline
0.066 & 10.0446609394440 & 0.662753736858152 \tabularnewline
0.067 & 10.0455692339432 & 0.662666652969869 \tabularnewline
0.068 & 10.0464847396098 & 0.662578669322041 \tabularnewline
0.069 & 10.0474074659211 & 0.662490111047806 \tabularnewline
0.07 & 10.0483374221395 & 0.662400019929143 \tabularnewline
0.071 & 10.0492746173117 & 0.662308708724373 \tabularnewline
0.072 & 10.050219060269 & 0.662216826951185 \tabularnewline
0.073 & 10.0511707596271 & 0.662123416045653 \tabularnewline
0.074 & 10.0521297237858 & 0.662030073363926 \tabularnewline
0.075 & 10.0530959609295 & 0.661934879612443 \tabularnewline
0.076 & 10.0540694790262 & 0.661839756927366 \tabularnewline
0.077 & 10.0550502858283 & 0.661743110533583 \tabularnewline
0.078 & 10.0560383888724 & 0.661645902670164 \tabularnewline
0.079 & 10.0570337954787 & 0.661546848722311 \tabularnewline
0.08 & 10.0580365127518 & 0.661447236286107 \tabularnewline
0.081 & 10.0590465475800 & 0.661346105823295 \tabularnewline
0.082 & 10.0600639066360 & 0.661245055932116 \tabularnewline
0.083 & 10.0610885963762 & 0.661142817025227 \tabularnewline
0.084 & 10.0621206230414 & 0.661038738819043 \tabularnewline
0.085 & 10.0631599926565 & 0.660933784233864 \tabularnewline
0.086 & 10.0642067110306 & 0.660828607495436 \tabularnewline
0.087 & 10.0652607837571 & 0.660722557903944 \tabularnewline
0.088 & 10.0663222162140 & 0.660615001235627 \tabularnewline
0.089 & 10.0673910135636 & 0.660505938990441 \tabularnewline
0.09 & 10.0684671807532 & 0.660395699717593 \tabularnewline
0.091 & 10.0695507225147 & 0.660286192512513 \tabularnewline
0.092 & 10.0706416433650 & 0.66017391358676 \tabularnewline
0.093 & 10.0717399476061 & 0.660061407264507 \tabularnewline
0.094 & 10.0728456393256 & 0.659948059150019 \tabularnewline
0.095 & 10.0739587223961 & 0.659833216116713 \tabularnewline
0.096 & 10.0750792004765 & 0.65971718741013 \tabularnewline
0.097 & 10.0762070770111 & 0.659600323124052 \tabularnewline
0.098 & 10.0773423552308 & 0.659482933226458 \tabularnewline
0.099 & 10.0784850381527 & 0.659363091431767 \tabularnewline
0.1 & 10.0796351285805 & 0.659243056480634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=91970&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.001[/C][C]10.0004638108443[/C][C]0.666631065677849[/C][/ROW]
[ROW][C]0.002[/C][C]10.0009337505142[/C][C]0.666594834816087[/C][/ROW]
[ROW][C]0.003[/C][C]10.0014098416796[/C][C]0.666557974393468[/C][/ROW]
[ROW][C]0.004[/C][C]10.0018921068357[/C][C]0.666520484727641[/C][/ROW]
[ROW][C]0.005[/C][C]10.0023805683016[/C][C]0.666481730359017[/C][/ROW]
[ROW][C]0.006[/C][C]10.0028752482197[/C][C]0.666443937175747[/C][/ROW]
[ROW][C]0.007[/C][C]10.0033761685542[/C][C]0.666404561798287[/C][/ROW]
[ROW][C]0.008[/C][C]10.0038833510907[/C][C]0.666363922722157[/C][/ROW]
[ROW][C]0.009[/C][C]10.0043968174343[/C][C]0.666323610241681[/C][/ROW]
[ROW][C]0.01[/C][C]10.0049165890095[/C][C]0.666281397992565[/C][/ROW]
[ROW][C]0.011[/C][C]10.0054426870586[/C][C]0.666239195766942[/C][/ROW]
[ROW][C]0.012[/C][C]10.0059751326409[/C][C]0.666197002946004[/C][/ROW]
[ROW][C]0.013[/C][C]10.0065139466321[/C][C]0.666153548335545[/C][/ROW]
[ROW][C]0.014[/C][C]10.0070591497226[/C][C]0.666108832312147[/C][/ROW]
[ROW][C]0.015[/C][C]10.0076107624173[/C][C]0.666064762604358[/C][/ROW]
[ROW][C]0.016[/C][C]10.0081688050342[/C][C]0.666019115290472[/C][/ROW]
[ROW][C]0.017[/C][C]10.0087332977039[/C][C]0.665973479423073[/C][/ROW]
[ROW][C]0.018[/C][C]10.0093042603681[/C][C]0.665926583839927[/C][/ROW]
[ROW][C]0.019[/C][C]10.0098817127796[/C][C]0.665878747970629[/C][/ROW]
[ROW][C]0.02[/C][C]10.0104656745005[/C][C]0.665829650944162[/C][/ROW]
[ROW][C]0.021[/C][C]10.0110561649021[/C][C]0.66578152434902[/C][/ROW]
[ROW][C]0.022[/C][C]10.0116532031635[/C][C]0.665731184973318[/C][/ROW]
[ROW][C]0.023[/C][C]10.0122568082713[/C][C]0.665680859684391[/C][/ROW]
[ROW][C]0.024[/C][C]10.0128669990183[/C][C]0.665629596738222[/C][/ROW]
[ROW][C]0.025[/C][C]10.0134837940030[/C][C]0.6655777131294[/C][/ROW]
[ROW][C]0.026[/C][C]10.0141072116289[/C][C]0.665524893060517[/C][/ROW]
[ROW][C]0.027[/C][C]10.0147372701034[/C][C]0.665471453393722[/C][/ROW]
[ROW][C]0.028[/C][C]10.0153739874373[/C][C]0.66541739459571[/C][/ROW]
[ROW][C]0.029[/C][C]10.0160173814441[/C][C]0.665361765344824[/C][/ROW]
[ROW][C]0.03[/C][C]10.0166674697389[/C][C]0.665307109477181[/C][/ROW]
[ROW][C]0.031[/C][C]10.0173242697383[/C][C]0.665250564681047[/C][/ROW]
[ROW][C]0.032[/C][C]10.0179877986592[/C][C]0.665192447222817[/C][/ROW]
[ROW][C]0.033[/C][C]10.0186580735182[/C][C]0.665135309280112[/C][/ROW]
[ROW][C]0.034[/C][C]10.0193351111312[/C][C]0.665075964075477[/C][/ROW]
[ROW][C]0.035[/C][C]10.0200189281126[/C][C]0.665016959730385[/C][/ROW]
[ROW][C]0.036[/C][C]10.0207095408745[/C][C]0.664956069344936[/C][/ROW]
[ROW][C]0.037[/C][C]10.0214069656263[/C][C]0.664894885442947[/C][/ROW]
[ROW][C]0.038[/C][C]10.0221112183738[/C][C]0.664832452523294[/C][/ROW]
[ROW][C]0.039[/C][C]10.0228223149192[/C][C]0.664770048145998[/C][/ROW]
[ROW][C]0.04[/C][C]10.0235402708598[/C][C]0.664706396213764[/C][/ROW]
[ROW][C]0.041[/C][C]10.0242651015880[/C][C]0.664642133063498[/C][/ROW]
[ROW][C]0.042[/C][C]10.0249968222902[/C][C]0.664577265288468[/C][/ROW]
[ROW][C]0.043[/C][C]10.0257354479469[/C][C]0.66451083104968[/C][/ROW]
[ROW][C]0.044[/C][C]10.0264809933318[/C][C]0.664443793920784[/C][/ROW]
[ROW][C]0.045[/C][C]10.0272334730111[/C][C]0.664376148468917[/C][/ROW]
[ROW][C]0.046[/C][C]10.0279929013435[/C][C]0.664307580812519[/C][/ROW]
[ROW][C]0.047[/C][C]10.0287592924795[/C][C]0.664238727629954[/C][/ROW]
[ROW][C]0.048[/C][C]10.0295326603608[/C][C]0.664167996808694[/C][/ROW]
[ROW][C]0.049[/C][C]10.0303130187199[/C][C]0.664096982108603[/C][/ROW]
[ROW][C]0.05[/C][C]10.0311003810798[/C][C]0.664024412935216[/C][/ROW]
[ROW][C]0.051[/C][C]10.0318947607536[/C][C]0.66395219754749[/C][/ROW]
[ROW][C]0.052[/C][C]10.0326961708439[/C][C]0.663878107698218[/C][/ROW]
[ROW][C]0.053[/C][C]10.0335046242424[/C][C]0.663804381643002[/C][/ROW]
[ROW][C]0.054[/C][C]10.0343201336299[/C][C]0.663728460973258[/C][/ROW]
[ROW][C]0.055[/C][C]10.0351427114753[/C][C]0.663652262049748[/C][/ROW]
[ROW][C]0.056[/C][C]10.0359723700360[/C][C]0.66357547248063[/C][/ROW]
[ROW][C]0.057[/C][C]10.0368091213570[/C][C]0.663496490468468[/C][/ROW]
[ROW][C]0.058[/C][C]10.0376529772706[/C][C]0.663418513991069[/C][/ROW]
[ROW][C]0.059[/C][C]10.0385039493965[/C][C]0.663338669414502[/C][/ROW]
[ROW][C]0.06[/C][C]10.0393620491412[/C][C]0.663257916039114[/C][/ROW]
[ROW][C]0.061[/C][C]10.0402272876978[/C][C]0.663175932009892[/C][/ROW]
[ROW][C]0.062[/C][C]10.0410996760455[/C][C]0.663092728424684[/C][/ROW]
[ROW][C]0.063[/C][C]10.0419792249499[/C][C]0.663009255085117[/C][/ROW]
[ROW][C]0.064[/C][C]10.0428659449623[/C][C]0.662925513110319[/C][/ROW]
[ROW][C]0.065[/C][C]10.0437598464196[/C][C]0.662840555560763[/C][/ROW]
[ROW][C]0.066[/C][C]10.0446609394440[/C][C]0.662753736858152[/C][/ROW]
[ROW][C]0.067[/C][C]10.0455692339432[/C][C]0.662666652969869[/C][/ROW]
[ROW][C]0.068[/C][C]10.0464847396098[/C][C]0.662578669322041[/C][/ROW]
[ROW][C]0.069[/C][C]10.0474074659211[/C][C]0.662490111047806[/C][/ROW]
[ROW][C]0.07[/C][C]10.0483374221395[/C][C]0.662400019929143[/C][/ROW]
[ROW][C]0.071[/C][C]10.0492746173117[/C][C]0.662308708724373[/C][/ROW]
[ROW][C]0.072[/C][C]10.050219060269[/C][C]0.662216826951185[/C][/ROW]
[ROW][C]0.073[/C][C]10.0511707596271[/C][C]0.662123416045653[/C][/ROW]
[ROW][C]0.074[/C][C]10.0521297237858[/C][C]0.662030073363926[/C][/ROW]
[ROW][C]0.075[/C][C]10.0530959609295[/C][C]0.661934879612443[/C][/ROW]
[ROW][C]0.076[/C][C]10.0540694790262[/C][C]0.661839756927366[/C][/ROW]
[ROW][C]0.077[/C][C]10.0550502858283[/C][C]0.661743110533583[/C][/ROW]
[ROW][C]0.078[/C][C]10.0560383888724[/C][C]0.661645902670164[/C][/ROW]
[ROW][C]0.079[/C][C]10.0570337954787[/C][C]0.661546848722311[/C][/ROW]
[ROW][C]0.08[/C][C]10.0580365127518[/C][C]0.661447236286107[/C][/ROW]
[ROW][C]0.081[/C][C]10.0590465475800[/C][C]0.661346105823295[/C][/ROW]
[ROW][C]0.082[/C][C]10.0600639066360[/C][C]0.661245055932116[/C][/ROW]
[ROW][C]0.083[/C][C]10.0610885963762[/C][C]0.661142817025227[/C][/ROW]
[ROW][C]0.084[/C][C]10.0621206230414[/C][C]0.661038738819043[/C][/ROW]
[ROW][C]0.085[/C][C]10.0631599926565[/C][C]0.660933784233864[/C][/ROW]
[ROW][C]0.086[/C][C]10.0642067110306[/C][C]0.660828607495436[/C][/ROW]
[ROW][C]0.087[/C][C]10.0652607837571[/C][C]0.660722557903944[/C][/ROW]
[ROW][C]0.088[/C][C]10.0663222162140[/C][C]0.660615001235627[/C][/ROW]
[ROW][C]0.089[/C][C]10.0673910135636[/C][C]0.660505938990441[/C][/ROW]
[ROW][C]0.09[/C][C]10.0684671807532[/C][C]0.660395699717593[/C][/ROW]
[ROW][C]0.091[/C][C]10.0695507225147[/C][C]0.660286192512513[/C][/ROW]
[ROW][C]0.092[/C][C]10.0706416433650[/C][C]0.66017391358676[/C][/ROW]
[ROW][C]0.093[/C][C]10.0717399476061[/C][C]0.660061407264507[/C][/ROW]
[ROW][C]0.094[/C][C]10.0728456393256[/C][C]0.659948059150019[/C][/ROW]
[ROW][C]0.095[/C][C]10.0739587223961[/C][C]0.659833216116713[/C][/ROW]
[ROW][C]0.096[/C][C]10.0750792004765[/C][C]0.65971718741013[/C][/ROW]
[ROW][C]0.097[/C][C]10.0762070770111[/C][C]0.659600323124052[/C][/ROW]
[ROW][C]0.098[/C][C]10.0773423552308[/C][C]0.659482933226458[/C][/ROW]
[ROW][C]0.099[/C][C]10.0784850381527[/C][C]0.659363091431767[/C][/ROW]
[ROW][C]0.1[/C][C]10.0796351285805[/C][C]0.659243056480634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=91970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=91970&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
0.00110.00046381084430.666631065677849
0.00210.00093375051420.666594834816087
0.00310.00140984167960.666557974393468
0.00410.00189210683570.666520484727641
0.00510.00238056830160.666481730359017
0.00610.00287524821970.666443937175747
0.00710.00337616855420.666404561798287
0.00810.00388335109070.666363922722157
0.00910.00439681743430.666323610241681
0.0110.00491658900950.666281397992565
0.01110.00544268705860.666239195766942
0.01210.00597513264090.666197002946004
0.01310.00651394663210.666153548335545
0.01410.00705914972260.666108832312147
0.01510.00761076241730.666064762604358
0.01610.00816880503420.666019115290472
0.01710.00873329770390.665973479423073
0.01810.00930426036810.665926583839927
0.01910.00988171277960.665878747970629
0.0210.01046567450050.665829650944162
0.02110.01105616490210.66578152434902
0.02210.01165320316350.665731184973318
0.02310.01225680827130.665680859684391
0.02410.01286699901830.665629596738222
0.02510.01348379400300.6655777131294
0.02610.01410721162890.665524893060517
0.02710.01473727010340.665471453393722
0.02810.01537398743730.66541739459571
0.02910.01601738144410.665361765344824
0.0310.01666746973890.665307109477181
0.03110.01732426973830.665250564681047
0.03210.01798779865920.665192447222817
0.03310.01865807351820.665135309280112
0.03410.01933511113120.665075964075477
0.03510.02001892811260.665016959730385
0.03610.02070954087450.664956069344936
0.03710.02140696562630.664894885442947
0.03810.02211121837380.664832452523294
0.03910.02282231491920.664770048145998
0.0410.02354027085980.664706396213764
0.04110.02426510158800.664642133063498
0.04210.02499682229020.664577265288468
0.04310.02573544794690.66451083104968
0.04410.02648099333180.664443793920784
0.04510.02723347301110.664376148468917
0.04610.02799290134350.664307580812519
0.04710.02875929247950.664238727629954
0.04810.02953266036080.664167996808694
0.04910.03031301871990.664096982108603
0.0510.03110038107980.664024412935216
0.05110.03189476075360.66395219754749
0.05210.03269617084390.663878107698218
0.05310.03350462424240.663804381643002
0.05410.03432013362990.663728460973258
0.05510.03514271147530.663652262049748
0.05610.03597237003600.66357547248063
0.05710.03680912135700.663496490468468
0.05810.03765297727060.663418513991069
0.05910.03850394939650.663338669414502
0.0610.03936204914120.663257916039114
0.06110.04022728769780.663175932009892
0.06210.04109967604550.663092728424684
0.06310.04197922494990.663009255085117
0.06410.04286594496230.662925513110319
0.06510.04375984641960.662840555560763
0.06610.04466093944400.662753736858152
0.06710.04556923394320.662666652969869
0.06810.04648473960980.662578669322041
0.06910.04740746592110.662490111047806
0.0710.04833742213950.662400019929143
0.07110.04927461731170.662308708724373
0.07210.0502190602690.662216826951185
0.07310.05117075962710.662123416045653
0.07410.05212972378580.662030073363926
0.07510.05309596092950.661934879612443
0.07610.05406947902620.661839756927366
0.07710.05505028582830.661743110533583
0.07810.05603838887240.661645902670164
0.07910.05703379547870.661546848722311
0.0810.05803651275180.661447236286107
0.08110.05904654758000.661346105823295
0.08210.06006390663600.661245055932116
0.08310.06108859637620.661142817025227
0.08410.06212062304140.661038738819043
0.08510.06315999265650.660933784233864
0.08610.06420671103060.660828607495436
0.08710.06526078375710.660722557903944
0.08810.06632221621400.660615001235627
0.08910.06739101356360.660505938990441
0.0910.06846718075320.660395699717593
0.09110.06955072251470.660286192512513
0.09210.07064164336500.66017391358676
0.09310.07173994760610.660061407264507
0.09410.07284563932560.659948059150019
0.09510.07395872239610.659833216116713
0.09610.07507920047650.65971718741013
0.09710.07620707701110.659600323124052
0.09810.07734235523080.659482933226458
0.09910.07848503815270.659363091431767
0.110.07963512858050.659243056480634


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.001 ; par2 = 0.1 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.001 ; par2 = 0.1 ; par3 = 0.001 ;
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')