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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Oct 2013 13:41:56 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t1380649354r6v4ax03tlhoaia.htm/, Retrieved Sat, 27 Apr 2024 05:49:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212587, Retrieved Sat, 27 Apr 2024 05:49:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-01 17:41:56] [23be8e4142dc0b2e5f6a7ba847207dc8] [Current]
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Dataseries X:
1.65
1.66
1.66
1.67
1.68
1.68
1.68
1.68
1.69
1.7
1.7
1.71
1.72
1.73
1.74
1.74
1.75
1.75
1.75
1.76
1.79
1.83
1.84
1.85
1.87
1.87
1.87
1.88
1.88
1.88
1.88
1.89
1.89
1.89
1.9
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.89
1.9
1.9
1.92
1.93
1.92
1.95
1.96
1.96
1.96
1.96
1.96
1.97
1.97
1.97
1.97
1.97
1.97
1.98
1.98
1.98
1.98
1.98
1.98
1.97
1.98
1.98
1.99
2
2




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212587&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212587&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212587&T=0

As an alternative you can also use a 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







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.653469625883790.00789008098392287
0.021.658413489048660.00704282420057675
0.031.663365140338370.00803283300994432
0.041.668035448690730.00885111821225934
0.051.672401009697520.00881933152064057
0.061.676428312389170.00860060004303635
0.071.680201435956190.00906004517856836
0.081.683947446731290.0104733936945537
0.091.687927795216740.012533128497189
0.11.692328419388250.0148083052915511
0.111.697217985475360.0169749356166555
0.121.70256650900390.0188628312578664
0.131.708290262716020.0204227970293822
0.141.714296747303470.0217099324133525
0.151.720518730832920.0228723129735154
0.161.72693546970510.0241328914033023
0.171.733581223388340.0257526625498756
0.181.740540417130430.0279553801324952
0.191.747929196981110.0308315629810113
0.21.755865765395260.0342823398737524
0.211.764435491759110.0380207391402751
0.221.773659259503850.0416340799618587
0.231.783473376591420.0446634844154652
0.241.793726488741550.0467042929742229
0.251.804194341566630.0474736974581407
0.261.814608574967770.0468593189300096
0.271.824692501936960.0449221504321468
0.281.834195854171290.0418755482795239
0.291.842921740618790.0380309181109179
0.31.850741838068820.0337366809955665
0.311.857599072091460.0293224089389287
0.321.863499795381970.0250605034389537
0.331.868499136947650.0211420153993755
0.341.87268363653860.0176720912493762
0.351.876154715827030.014684063173649
0.361.879015385360090.0121568466766084
0.371.881361277882740.01003504015281
0.381.883275968235950.00825202193933059
0.391.88482977316060.0067443101489647
0.41.886080865527590.00546006768899953
0.411.88707752915960.00436377316797899
0.421.887860610042620.00342936010971631
0.431.888465561769010.00264234151408623
0.441.888923828922360.00199105494245349
0.451.889263587395960.00146367959877995
0.461.889510030364680.00105078032352663
0.471.88968545280880.000738550544214394
0.481.889809370069770.000513762222499274
0.491.88989884116490.000367911281342057
0.51.889969087790970.000295527354636196
0.511.890034427380580.00030533210699813
0.521.890109482881790.000399767935034174
0.531.890210592206770.000583862607761407
0.541.890357309958810.000873291188537537
0.551.890573866152410.00129336376028923
0.561.8908904177730.0018746975249475
0.571.891343900866690.00265298051490668
0.581.891978269597330.00365954243734975
0.591.892843903234030.00492453598517318
0.61.89399598206070.00645969377270192
0.611.895491688237630.00826663204840396
0.621.897386186498790.0103229332426402
0.631.89972748914060.0125777954099713
0.641.902550511315950.0149520856505807
0.651.905870864640690.0173387997937199
0.661.909679186119080.0196025981453918
0.671.913936994152310.0215967175539403
0.681.918575119359780.0231730459977088
0.691.923495588341980.0242001041585841
0.71.928577391728210.0245849027159857
0.711.933685870336430.0242868641562276
0.721.938684637193780.0233302405738657
0.731.943448245327130.0217996640114565
0.741.947873470372360.0198328106484344
0.751.951887290321290.0175979712488524
0.761.955450422129630.0152691493488914
0.771.958556397165130.0130018425897361
0.781.961227223170080.0109181085178108
0.791.963507258570780.00909846824737769
0.81.96545676251860.00758917728959642
0.811.967145771846770.00641363494608699
0.821.96864795108010.00557781299354096
0.831.970033510922970.00506716656712463
0.841.97136069744330.00482527391854125
0.851.972666729095690.00474540013992813
0.861.973960766726240.00468385348066885
0.871.975222482789230.00450880823053238
0.881.97640917101520.0041369288884919
0.891.977472126044830.00356098966159522
0.91.978380422819430.00285576134980665
0.911.979148875188670.00216638743263786
0.921.979867043870040.00171942270748573
0.931.980724395036180.00187299651707679
0.941.982016638017820.00287622980581101
0.951.984096887621710.00462753108068294
0.961.987218600414970.00667699569295328
0.971.991257640695330.00799807658632087
0.981.995466386201010.00717229737675907
0.991.998644732042270.00370790567095788

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.65346962588379 & 0.00789008098392287 \tabularnewline
0.02 & 1.65841348904866 & 0.00704282420057675 \tabularnewline
0.03 & 1.66336514033837 & 0.00803283300994432 \tabularnewline
0.04 & 1.66803544869073 & 0.00885111821225934 \tabularnewline
0.05 & 1.67240100969752 & 0.00881933152064057 \tabularnewline
0.06 & 1.67642831238917 & 0.00860060004303635 \tabularnewline
0.07 & 1.68020143595619 & 0.00906004517856836 \tabularnewline
0.08 & 1.68394744673129 & 0.0104733936945537 \tabularnewline
0.09 & 1.68792779521674 & 0.012533128497189 \tabularnewline
0.1 & 1.69232841938825 & 0.0148083052915511 \tabularnewline
0.11 & 1.69721798547536 & 0.0169749356166555 \tabularnewline
0.12 & 1.7025665090039 & 0.0188628312578664 \tabularnewline
0.13 & 1.70829026271602 & 0.0204227970293822 \tabularnewline
0.14 & 1.71429674730347 & 0.0217099324133525 \tabularnewline
0.15 & 1.72051873083292 & 0.0228723129735154 \tabularnewline
0.16 & 1.7269354697051 & 0.0241328914033023 \tabularnewline
0.17 & 1.73358122338834 & 0.0257526625498756 \tabularnewline
0.18 & 1.74054041713043 & 0.0279553801324952 \tabularnewline
0.19 & 1.74792919698111 & 0.0308315629810113 \tabularnewline
0.2 & 1.75586576539526 & 0.0342823398737524 \tabularnewline
0.21 & 1.76443549175911 & 0.0380207391402751 \tabularnewline
0.22 & 1.77365925950385 & 0.0416340799618587 \tabularnewline
0.23 & 1.78347337659142 & 0.0446634844154652 \tabularnewline
0.24 & 1.79372648874155 & 0.0467042929742229 \tabularnewline
0.25 & 1.80419434156663 & 0.0474736974581407 \tabularnewline
0.26 & 1.81460857496777 & 0.0468593189300096 \tabularnewline
0.27 & 1.82469250193696 & 0.0449221504321468 \tabularnewline
0.28 & 1.83419585417129 & 0.0418755482795239 \tabularnewline
0.29 & 1.84292174061879 & 0.0380309181109179 \tabularnewline
0.3 & 1.85074183806882 & 0.0337366809955665 \tabularnewline
0.31 & 1.85759907209146 & 0.0293224089389287 \tabularnewline
0.32 & 1.86349979538197 & 0.0250605034389537 \tabularnewline
0.33 & 1.86849913694765 & 0.0211420153993755 \tabularnewline
0.34 & 1.8726836365386 & 0.0176720912493762 \tabularnewline
0.35 & 1.87615471582703 & 0.014684063173649 \tabularnewline
0.36 & 1.87901538536009 & 0.0121568466766084 \tabularnewline
0.37 & 1.88136127788274 & 0.01003504015281 \tabularnewline
0.38 & 1.88327596823595 & 0.00825202193933059 \tabularnewline
0.39 & 1.8848297731606 & 0.0067443101489647 \tabularnewline
0.4 & 1.88608086552759 & 0.00546006768899953 \tabularnewline
0.41 & 1.8870775291596 & 0.00436377316797899 \tabularnewline
0.42 & 1.88786061004262 & 0.00342936010971631 \tabularnewline
0.43 & 1.88846556176901 & 0.00264234151408623 \tabularnewline
0.44 & 1.88892382892236 & 0.00199105494245349 \tabularnewline
0.45 & 1.88926358739596 & 0.00146367959877995 \tabularnewline
0.46 & 1.88951003036468 & 0.00105078032352663 \tabularnewline
0.47 & 1.8896854528088 & 0.000738550544214394 \tabularnewline
0.48 & 1.88980937006977 & 0.000513762222499274 \tabularnewline
0.49 & 1.8898988411649 & 0.000367911281342057 \tabularnewline
0.5 & 1.88996908779097 & 0.000295527354636196 \tabularnewline
0.51 & 1.89003442738058 & 0.00030533210699813 \tabularnewline
0.52 & 1.89010948288179 & 0.000399767935034174 \tabularnewline
0.53 & 1.89021059220677 & 0.000583862607761407 \tabularnewline
0.54 & 1.89035730995881 & 0.000873291188537537 \tabularnewline
0.55 & 1.89057386615241 & 0.00129336376028923 \tabularnewline
0.56 & 1.890890417773 & 0.0018746975249475 \tabularnewline
0.57 & 1.89134390086669 & 0.00265298051490668 \tabularnewline
0.58 & 1.89197826959733 & 0.00365954243734975 \tabularnewline
0.59 & 1.89284390323403 & 0.00492453598517318 \tabularnewline
0.6 & 1.8939959820607 & 0.00645969377270192 \tabularnewline
0.61 & 1.89549168823763 & 0.00826663204840396 \tabularnewline
0.62 & 1.89738618649879 & 0.0103229332426402 \tabularnewline
0.63 & 1.8997274891406 & 0.0125777954099713 \tabularnewline
0.64 & 1.90255051131595 & 0.0149520856505807 \tabularnewline
0.65 & 1.90587086464069 & 0.0173387997937199 \tabularnewline
0.66 & 1.90967918611908 & 0.0196025981453918 \tabularnewline
0.67 & 1.91393699415231 & 0.0215967175539403 \tabularnewline
0.68 & 1.91857511935978 & 0.0231730459977088 \tabularnewline
0.69 & 1.92349558834198 & 0.0242001041585841 \tabularnewline
0.7 & 1.92857739172821 & 0.0245849027159857 \tabularnewline
0.71 & 1.93368587033643 & 0.0242868641562276 \tabularnewline
0.72 & 1.93868463719378 & 0.0233302405738657 \tabularnewline
0.73 & 1.94344824532713 & 0.0217996640114565 \tabularnewline
0.74 & 1.94787347037236 & 0.0198328106484344 \tabularnewline
0.75 & 1.95188729032129 & 0.0175979712488524 \tabularnewline
0.76 & 1.95545042212963 & 0.0152691493488914 \tabularnewline
0.77 & 1.95855639716513 & 0.0130018425897361 \tabularnewline
0.78 & 1.96122722317008 & 0.0109181085178108 \tabularnewline
0.79 & 1.96350725857078 & 0.00909846824737769 \tabularnewline
0.8 & 1.9654567625186 & 0.00758917728959642 \tabularnewline
0.81 & 1.96714577184677 & 0.00641363494608699 \tabularnewline
0.82 & 1.9686479510801 & 0.00557781299354096 \tabularnewline
0.83 & 1.97003351092297 & 0.00506716656712463 \tabularnewline
0.84 & 1.9713606974433 & 0.00482527391854125 \tabularnewline
0.85 & 1.97266672909569 & 0.00474540013992813 \tabularnewline
0.86 & 1.97396076672624 & 0.00468385348066885 \tabularnewline
0.87 & 1.97522248278923 & 0.00450880823053238 \tabularnewline
0.88 & 1.9764091710152 & 0.0041369288884919 \tabularnewline
0.89 & 1.97747212604483 & 0.00356098966159522 \tabularnewline
0.9 & 1.97838042281943 & 0.00285576134980665 \tabularnewline
0.91 & 1.97914887518867 & 0.00216638743263786 \tabularnewline
0.92 & 1.97986704387004 & 0.00171942270748573 \tabularnewline
0.93 & 1.98072439503618 & 0.00187299651707679 \tabularnewline
0.94 & 1.98201663801782 & 0.00287622980581101 \tabularnewline
0.95 & 1.98409688762171 & 0.00462753108068294 \tabularnewline
0.96 & 1.98721860041497 & 0.00667699569295328 \tabularnewline
0.97 & 1.99125764069533 & 0.00799807658632087 \tabularnewline
0.98 & 1.99546638620101 & 0.00717229737675907 \tabularnewline
0.99 & 1.99864473204227 & 0.00370790567095788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212587&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]1.65346962588379[/C][C]0.00789008098392287[/C][/ROW]
[ROW][C]0.02[/C][C]1.65841348904866[/C][C]0.00704282420057675[/C][/ROW]
[ROW][C]0.03[/C][C]1.66336514033837[/C][C]0.00803283300994432[/C][/ROW]
[ROW][C]0.04[/C][C]1.66803544869073[/C][C]0.00885111821225934[/C][/ROW]
[ROW][C]0.05[/C][C]1.67240100969752[/C][C]0.00881933152064057[/C][/ROW]
[ROW][C]0.06[/C][C]1.67642831238917[/C][C]0.00860060004303635[/C][/ROW]
[ROW][C]0.07[/C][C]1.68020143595619[/C][C]0.00906004517856836[/C][/ROW]
[ROW][C]0.08[/C][C]1.68394744673129[/C][C]0.0104733936945537[/C][/ROW]
[ROW][C]0.09[/C][C]1.68792779521674[/C][C]0.012533128497189[/C][/ROW]
[ROW][C]0.1[/C][C]1.69232841938825[/C][C]0.0148083052915511[/C][/ROW]
[ROW][C]0.11[/C][C]1.69721798547536[/C][C]0.0169749356166555[/C][/ROW]
[ROW][C]0.12[/C][C]1.7025665090039[/C][C]0.0188628312578664[/C][/ROW]
[ROW][C]0.13[/C][C]1.70829026271602[/C][C]0.0204227970293822[/C][/ROW]
[ROW][C]0.14[/C][C]1.71429674730347[/C][C]0.0217099324133525[/C][/ROW]
[ROW][C]0.15[/C][C]1.72051873083292[/C][C]0.0228723129735154[/C][/ROW]
[ROW][C]0.16[/C][C]1.7269354697051[/C][C]0.0241328914033023[/C][/ROW]
[ROW][C]0.17[/C][C]1.73358122338834[/C][C]0.0257526625498756[/C][/ROW]
[ROW][C]0.18[/C][C]1.74054041713043[/C][C]0.0279553801324952[/C][/ROW]
[ROW][C]0.19[/C][C]1.74792919698111[/C][C]0.0308315629810113[/C][/ROW]
[ROW][C]0.2[/C][C]1.75586576539526[/C][C]0.0342823398737524[/C][/ROW]
[ROW][C]0.21[/C][C]1.76443549175911[/C][C]0.0380207391402751[/C][/ROW]
[ROW][C]0.22[/C][C]1.77365925950385[/C][C]0.0416340799618587[/C][/ROW]
[ROW][C]0.23[/C][C]1.78347337659142[/C][C]0.0446634844154652[/C][/ROW]
[ROW][C]0.24[/C][C]1.79372648874155[/C][C]0.0467042929742229[/C][/ROW]
[ROW][C]0.25[/C][C]1.80419434156663[/C][C]0.0474736974581407[/C][/ROW]
[ROW][C]0.26[/C][C]1.81460857496777[/C][C]0.0468593189300096[/C][/ROW]
[ROW][C]0.27[/C][C]1.82469250193696[/C][C]0.0449221504321468[/C][/ROW]
[ROW][C]0.28[/C][C]1.83419585417129[/C][C]0.0418755482795239[/C][/ROW]
[ROW][C]0.29[/C][C]1.84292174061879[/C][C]0.0380309181109179[/C][/ROW]
[ROW][C]0.3[/C][C]1.85074183806882[/C][C]0.0337366809955665[/C][/ROW]
[ROW][C]0.31[/C][C]1.85759907209146[/C][C]0.0293224089389287[/C][/ROW]
[ROW][C]0.32[/C][C]1.86349979538197[/C][C]0.0250605034389537[/C][/ROW]
[ROW][C]0.33[/C][C]1.86849913694765[/C][C]0.0211420153993755[/C][/ROW]
[ROW][C]0.34[/C][C]1.8726836365386[/C][C]0.0176720912493762[/C][/ROW]
[ROW][C]0.35[/C][C]1.87615471582703[/C][C]0.014684063173649[/C][/ROW]
[ROW][C]0.36[/C][C]1.87901538536009[/C][C]0.0121568466766084[/C][/ROW]
[ROW][C]0.37[/C][C]1.88136127788274[/C][C]0.01003504015281[/C][/ROW]
[ROW][C]0.38[/C][C]1.88327596823595[/C][C]0.00825202193933059[/C][/ROW]
[ROW][C]0.39[/C][C]1.8848297731606[/C][C]0.0067443101489647[/C][/ROW]
[ROW][C]0.4[/C][C]1.88608086552759[/C][C]0.00546006768899953[/C][/ROW]
[ROW][C]0.41[/C][C]1.8870775291596[/C][C]0.00436377316797899[/C][/ROW]
[ROW][C]0.42[/C][C]1.88786061004262[/C][C]0.00342936010971631[/C][/ROW]
[ROW][C]0.43[/C][C]1.88846556176901[/C][C]0.00264234151408623[/C][/ROW]
[ROW][C]0.44[/C][C]1.88892382892236[/C][C]0.00199105494245349[/C][/ROW]
[ROW][C]0.45[/C][C]1.88926358739596[/C][C]0.00146367959877995[/C][/ROW]
[ROW][C]0.46[/C][C]1.88951003036468[/C][C]0.00105078032352663[/C][/ROW]
[ROW][C]0.47[/C][C]1.8896854528088[/C][C]0.000738550544214394[/C][/ROW]
[ROW][C]0.48[/C][C]1.88980937006977[/C][C]0.000513762222499274[/C][/ROW]
[ROW][C]0.49[/C][C]1.8898988411649[/C][C]0.000367911281342057[/C][/ROW]
[ROW][C]0.5[/C][C]1.88996908779097[/C][C]0.000295527354636196[/C][/ROW]
[ROW][C]0.51[/C][C]1.89003442738058[/C][C]0.00030533210699813[/C][/ROW]
[ROW][C]0.52[/C][C]1.89010948288179[/C][C]0.000399767935034174[/C][/ROW]
[ROW][C]0.53[/C][C]1.89021059220677[/C][C]0.000583862607761407[/C][/ROW]
[ROW][C]0.54[/C][C]1.89035730995881[/C][C]0.000873291188537537[/C][/ROW]
[ROW][C]0.55[/C][C]1.89057386615241[/C][C]0.00129336376028923[/C][/ROW]
[ROW][C]0.56[/C][C]1.890890417773[/C][C]0.0018746975249475[/C][/ROW]
[ROW][C]0.57[/C][C]1.89134390086669[/C][C]0.00265298051490668[/C][/ROW]
[ROW][C]0.58[/C][C]1.89197826959733[/C][C]0.00365954243734975[/C][/ROW]
[ROW][C]0.59[/C][C]1.89284390323403[/C][C]0.00492453598517318[/C][/ROW]
[ROW][C]0.6[/C][C]1.8939959820607[/C][C]0.00645969377270192[/C][/ROW]
[ROW][C]0.61[/C][C]1.89549168823763[/C][C]0.00826663204840396[/C][/ROW]
[ROW][C]0.62[/C][C]1.89738618649879[/C][C]0.0103229332426402[/C][/ROW]
[ROW][C]0.63[/C][C]1.8997274891406[/C][C]0.0125777954099713[/C][/ROW]
[ROW][C]0.64[/C][C]1.90255051131595[/C][C]0.0149520856505807[/C][/ROW]
[ROW][C]0.65[/C][C]1.90587086464069[/C][C]0.0173387997937199[/C][/ROW]
[ROW][C]0.66[/C][C]1.90967918611908[/C][C]0.0196025981453918[/C][/ROW]
[ROW][C]0.67[/C][C]1.91393699415231[/C][C]0.0215967175539403[/C][/ROW]
[ROW][C]0.68[/C][C]1.91857511935978[/C][C]0.0231730459977088[/C][/ROW]
[ROW][C]0.69[/C][C]1.92349558834198[/C][C]0.0242001041585841[/C][/ROW]
[ROW][C]0.7[/C][C]1.92857739172821[/C][C]0.0245849027159857[/C][/ROW]
[ROW][C]0.71[/C][C]1.93368587033643[/C][C]0.0242868641562276[/C][/ROW]
[ROW][C]0.72[/C][C]1.93868463719378[/C][C]0.0233302405738657[/C][/ROW]
[ROW][C]0.73[/C][C]1.94344824532713[/C][C]0.0217996640114565[/C][/ROW]
[ROW][C]0.74[/C][C]1.94787347037236[/C][C]0.0198328106484344[/C][/ROW]
[ROW][C]0.75[/C][C]1.95188729032129[/C][C]0.0175979712488524[/C][/ROW]
[ROW][C]0.76[/C][C]1.95545042212963[/C][C]0.0152691493488914[/C][/ROW]
[ROW][C]0.77[/C][C]1.95855639716513[/C][C]0.0130018425897361[/C][/ROW]
[ROW][C]0.78[/C][C]1.96122722317008[/C][C]0.0109181085178108[/C][/ROW]
[ROW][C]0.79[/C][C]1.96350725857078[/C][C]0.00909846824737769[/C][/ROW]
[ROW][C]0.8[/C][C]1.9654567625186[/C][C]0.00758917728959642[/C][/ROW]
[ROW][C]0.81[/C][C]1.96714577184677[/C][C]0.00641363494608699[/C][/ROW]
[ROW][C]0.82[/C][C]1.9686479510801[/C][C]0.00557781299354096[/C][/ROW]
[ROW][C]0.83[/C][C]1.97003351092297[/C][C]0.00506716656712463[/C][/ROW]
[ROW][C]0.84[/C][C]1.9713606974433[/C][C]0.00482527391854125[/C][/ROW]
[ROW][C]0.85[/C][C]1.97266672909569[/C][C]0.00474540013992813[/C][/ROW]
[ROW][C]0.86[/C][C]1.97396076672624[/C][C]0.00468385348066885[/C][/ROW]
[ROW][C]0.87[/C][C]1.97522248278923[/C][C]0.00450880823053238[/C][/ROW]
[ROW][C]0.88[/C][C]1.9764091710152[/C][C]0.0041369288884919[/C][/ROW]
[ROW][C]0.89[/C][C]1.97747212604483[/C][C]0.00356098966159522[/C][/ROW]
[ROW][C]0.9[/C][C]1.97838042281943[/C][C]0.00285576134980665[/C][/ROW]
[ROW][C]0.91[/C][C]1.97914887518867[/C][C]0.00216638743263786[/C][/ROW]
[ROW][C]0.92[/C][C]1.97986704387004[/C][C]0.00171942270748573[/C][/ROW]
[ROW][C]0.93[/C][C]1.98072439503618[/C][C]0.00187299651707679[/C][/ROW]
[ROW][C]0.94[/C][C]1.98201663801782[/C][C]0.00287622980581101[/C][/ROW]
[ROW][C]0.95[/C][C]1.98409688762171[/C][C]0.00462753108068294[/C][/ROW]
[ROW][C]0.96[/C][C]1.98721860041497[/C][C]0.00667699569295328[/C][/ROW]
[ROW][C]0.97[/C][C]1.99125764069533[/C][C]0.00799807658632087[/C][/ROW]
[ROW][C]0.98[/C][C]1.99546638620101[/C][C]0.00717229737675907[/C][/ROW]
[ROW][C]0.99[/C][C]1.99864473204227[/C][C]0.00370790567095788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212587&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212587&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.653469625883790.00789008098392287
0.021.658413489048660.00704282420057675
0.031.663365140338370.00803283300994432
0.041.668035448690730.00885111821225934
0.051.672401009697520.00881933152064057
0.061.676428312389170.00860060004303635
0.071.680201435956190.00906004517856836
0.081.683947446731290.0104733936945537
0.091.687927795216740.012533128497189
0.11.692328419388250.0148083052915511
0.111.697217985475360.0169749356166555
0.121.70256650900390.0188628312578664
0.131.708290262716020.0204227970293822
0.141.714296747303470.0217099324133525
0.151.720518730832920.0228723129735154
0.161.72693546970510.0241328914033023
0.171.733581223388340.0257526625498756
0.181.740540417130430.0279553801324952
0.191.747929196981110.0308315629810113
0.21.755865765395260.0342823398737524
0.211.764435491759110.0380207391402751
0.221.773659259503850.0416340799618587
0.231.783473376591420.0446634844154652
0.241.793726488741550.0467042929742229
0.251.804194341566630.0474736974581407
0.261.814608574967770.0468593189300096
0.271.824692501936960.0449221504321468
0.281.834195854171290.0418755482795239
0.291.842921740618790.0380309181109179
0.31.850741838068820.0337366809955665
0.311.857599072091460.0293224089389287
0.321.863499795381970.0250605034389537
0.331.868499136947650.0211420153993755
0.341.87268363653860.0176720912493762
0.351.876154715827030.014684063173649
0.361.879015385360090.0121568466766084
0.371.881361277882740.01003504015281
0.381.883275968235950.00825202193933059
0.391.88482977316060.0067443101489647
0.41.886080865527590.00546006768899953
0.411.88707752915960.00436377316797899
0.421.887860610042620.00342936010971631
0.431.888465561769010.00264234151408623
0.441.888923828922360.00199105494245349
0.451.889263587395960.00146367959877995
0.461.889510030364680.00105078032352663
0.471.88968545280880.000738550544214394
0.481.889809370069770.000513762222499274
0.491.88989884116490.000367911281342057
0.51.889969087790970.000295527354636196
0.511.890034427380580.00030533210699813
0.521.890109482881790.000399767935034174
0.531.890210592206770.000583862607761407
0.541.890357309958810.000873291188537537
0.551.890573866152410.00129336376028923
0.561.8908904177730.0018746975249475
0.571.891343900866690.00265298051490668
0.581.891978269597330.00365954243734975
0.591.892843903234030.00492453598517318
0.61.89399598206070.00645969377270192
0.611.895491688237630.00826663204840396
0.621.897386186498790.0103229332426402
0.631.89972748914060.0125777954099713
0.641.902550511315950.0149520856505807
0.651.905870864640690.0173387997937199
0.661.909679186119080.0196025981453918
0.671.913936994152310.0215967175539403
0.681.918575119359780.0231730459977088
0.691.923495588341980.0242001041585841
0.71.928577391728210.0245849027159857
0.711.933685870336430.0242868641562276
0.721.938684637193780.0233302405738657
0.731.943448245327130.0217996640114565
0.741.947873470372360.0198328106484344
0.751.951887290321290.0175979712488524
0.761.955450422129630.0152691493488914
0.771.958556397165130.0130018425897361
0.781.961227223170080.0109181085178108
0.791.963507258570780.00909846824737769
0.81.96545676251860.00758917728959642
0.811.967145771846770.00641363494608699
0.821.96864795108010.00557781299354096
0.831.970033510922970.00506716656712463
0.841.97136069744330.00482527391854125
0.851.972666729095690.00474540013992813
0.861.973960766726240.00468385348066885
0.871.975222482789230.00450880823053238
0.881.97640917101520.0041369288884919
0.891.977472126044830.00356098966159522
0.91.978380422819430.00285576134980665
0.911.979148875188670.00216638743263786
0.921.979867043870040.00171942270748573
0.931.980724395036180.00187299651707679
0.941.982016638017820.00287622980581101
0.951.984096887621710.00462753108068294
0.961.987218600414970.00667699569295328
0.971.991257640695330.00799807658632087
0.981.995466386201010.00717229737675907
0.991.998644732042270.00370790567095788



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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')