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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 computationMon, 14 May 2012 10:51:13 -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/2012/May/14/t1337007080ff8y8r2laha2k2r.htm/, Retrieved Sun, 05 May 2024 13:39:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166447, Retrieved Sun, 05 May 2024 13:39:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171

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] [] [2012-05-14 14:51:13] [f26bc165187ae19198203e315c1ca52f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,65
101,18
102,13
102,59
103,25
103,48
104,03
103,64
103,29
103,3
104,51
104,62
105,93
105,2
106
108,05
109,36
110,05
110,23
110,45
110,64
112,31
116,13
119,08
120,55
121,13
121,16
122,23
122,49
122,94
122,56
123,3
123,75
123,32
123,66
124,01
124,42
124,63
125,36
125,84
123,79
125,66
123,23
123,44
122,98
123,34
122,85
122,72
123,18
122,7
122,24
121
121,25
120,48
120,4
120,7
121,42
121,76
121,64
120,52

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

\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=166447&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=166447&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166447&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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.3137055161240.470541116797404
0.02101.5319463492820.508050967657596
0.03101.790809294170.561267705003747
0.04102.0575535191770.601079641799306
0.05102.3140285990960.611847160876935
0.06102.5511303619370.593236831914066
0.07102.7648294959630.555378013561654
0.08102.9549028137780.51415975178286
0.09103.1245529554330.486392969768715
0.1103.2797189519810.485394433502424
0.11103.4279408160320.516874120253526
0.12103.5771317833240.579085532794005
0.13103.7346156264960.666672490096469
0.14103.9065924637180.774734401260731
0.15104.0980017628440.899676820324317
0.16104.3126389718991.03957367463972
0.17104.5533609336391.19263597232627
0.18104.8222573194581.35713414497958
0.19105.1207341124441.53024075823537
0.2105.4495202482811.70809732005633
0.21105.8086511193741.88628298076449
0.22106.1974954330722.06021912895201
0.23106.6148766362682.22657178311935
0.24107.0593049333582.38400345335826
0.25107.5292927916152.53368867421317
0.26108.0236887797592.67975270108425
0.27108.5419428784472.82801442559563
0.28109.0842179405522.98469349201353
0.29109.6512876331853.15450032843312
0.3110.2442055306393.33846894152562
0.31110.8637826426843.53275479495715
0.32111.509958806173.72845742746472
0.33112.1811851870113.9121470156574
0.34112.8739426629324.06797891500338
0.35113.5825019287134.18009821802088
0.36114.2989898473084.23413275578711
0.37115.013771968764.22004438924233
0.38115.716105038694.13299021343534
0.39116.394967293913.97389459526744
0.4117.0399471195323.74987780491317
0.41117.642066338933.47235679169295
0.42118.1944320228023.15646010143943
0.43118.6926448406252.81910858818861
0.44119.1349345074022.47682022005132
0.45119.5220350185842.1448118452474
0.46119.8568466324531.83579730729284
0.47120.1439531433821.55878818472616
0.48120.3890703233211.3197596354983
0.49120.5984959190751.12091775681499
0.5120.7786168417470.96222506869961
0.51120.9355097097590.840849910853458
0.52121.0746510872370.752396829325869
0.53121.2007369627860.691207324853479
0.54121.3175991570830.651241347032586
0.55121.4281998824230.626488335233998
0.56121.534683894720.611616894530796
0.57121.6384691926820.602198287589296
0.58121.7403604663870.594752127413824
0.59121.8406731358860.586840612900489
0.6121.9393589598840.576681913062964
0.61122.0361264546610.563225432657661
0.62122.1305507910530.546256261908009
0.63122.2221687452870.525871501843636
0.64122.3105550666780.502784474735086
0.65122.3953776284160.477594312531856
0.66122.4764301297580.451539320051855
0.67122.5536429178880.425488537367056
0.68122.6270745306650.400312304402595
0.69122.6968885471650.37667688458996
0.7122.7633219359910.354887979199973
0.71122.8266519801760.33507656307024
0.72122.8871687609040.317207315953894
0.73122.9451589474530.300916840647488
0.74123.0009042966750.286034703699353
0.75123.0546950841540.272430233115455
0.76123.1068552250580.260045457772265
0.77123.1577729066060.249291888329633
0.78123.207929084880.240643044210889
0.79123.2579170009710.234755899273591
0.8123.30844925160.232318809808968
0.81123.3603543524670.233666302874256
0.82123.4145705727240.238937568893062
0.83123.4721487189220.248031842727927
0.84123.5342751071560.260724061172378
0.85123.6023198970760.27722575530866
0.86123.6779050344470.2979218151868
0.87123.7629729455330.323696893462595
0.88123.8598246932910.355404031243033
0.89123.9710848725790.39327063077095
0.9124.0995371616920.436799026702577
0.91124.2477583238870.484217270082384
0.92124.41747354470.531876757909524
0.93124.6086021459450.573288850693519
0.94124.8181106794730.598340924769021
0.95125.0390337213350.593662986174891
0.96125.2601972966960.546937217911794
0.97125.4669821868910.455296272375997
0.98125.642854728960.335249893028097
0.99125.771320578250.228022307915074

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.313705516124 & 0.470541116797404 \tabularnewline
0.02 & 101.531946349282 & 0.508050967657596 \tabularnewline
0.03 & 101.79080929417 & 0.561267705003747 \tabularnewline
0.04 & 102.057553519177 & 0.601079641799306 \tabularnewline
0.05 & 102.314028599096 & 0.611847160876935 \tabularnewline
0.06 & 102.551130361937 & 0.593236831914066 \tabularnewline
0.07 & 102.764829495963 & 0.555378013561654 \tabularnewline
0.08 & 102.954902813778 & 0.51415975178286 \tabularnewline
0.09 & 103.124552955433 & 0.486392969768715 \tabularnewline
0.1 & 103.279718951981 & 0.485394433502424 \tabularnewline
0.11 & 103.427940816032 & 0.516874120253526 \tabularnewline
0.12 & 103.577131783324 & 0.579085532794005 \tabularnewline
0.13 & 103.734615626496 & 0.666672490096469 \tabularnewline
0.14 & 103.906592463718 & 0.774734401260731 \tabularnewline
0.15 & 104.098001762844 & 0.899676820324317 \tabularnewline
0.16 & 104.312638971899 & 1.03957367463972 \tabularnewline
0.17 & 104.553360933639 & 1.19263597232627 \tabularnewline
0.18 & 104.822257319458 & 1.35713414497958 \tabularnewline
0.19 & 105.120734112444 & 1.53024075823537 \tabularnewline
0.2 & 105.449520248281 & 1.70809732005633 \tabularnewline
0.21 & 105.808651119374 & 1.88628298076449 \tabularnewline
0.22 & 106.197495433072 & 2.06021912895201 \tabularnewline
0.23 & 106.614876636268 & 2.22657178311935 \tabularnewline
0.24 & 107.059304933358 & 2.38400345335826 \tabularnewline
0.25 & 107.529292791615 & 2.53368867421317 \tabularnewline
0.26 & 108.023688779759 & 2.67975270108425 \tabularnewline
0.27 & 108.541942878447 & 2.82801442559563 \tabularnewline
0.28 & 109.084217940552 & 2.98469349201353 \tabularnewline
0.29 & 109.651287633185 & 3.15450032843312 \tabularnewline
0.3 & 110.244205530639 & 3.33846894152562 \tabularnewline
0.31 & 110.863782642684 & 3.53275479495715 \tabularnewline
0.32 & 111.50995880617 & 3.72845742746472 \tabularnewline
0.33 & 112.181185187011 & 3.9121470156574 \tabularnewline
0.34 & 112.873942662932 & 4.06797891500338 \tabularnewline
0.35 & 113.582501928713 & 4.18009821802088 \tabularnewline
0.36 & 114.298989847308 & 4.23413275578711 \tabularnewline
0.37 & 115.01377196876 & 4.22004438924233 \tabularnewline
0.38 & 115.71610503869 & 4.13299021343534 \tabularnewline
0.39 & 116.39496729391 & 3.97389459526744 \tabularnewline
0.4 & 117.039947119532 & 3.74987780491317 \tabularnewline
0.41 & 117.64206633893 & 3.47235679169295 \tabularnewline
0.42 & 118.194432022802 & 3.15646010143943 \tabularnewline
0.43 & 118.692644840625 & 2.81910858818861 \tabularnewline
0.44 & 119.134934507402 & 2.47682022005132 \tabularnewline
0.45 & 119.522035018584 & 2.1448118452474 \tabularnewline
0.46 & 119.856846632453 & 1.83579730729284 \tabularnewline
0.47 & 120.143953143382 & 1.55878818472616 \tabularnewline
0.48 & 120.389070323321 & 1.3197596354983 \tabularnewline
0.49 & 120.598495919075 & 1.12091775681499 \tabularnewline
0.5 & 120.778616841747 & 0.96222506869961 \tabularnewline
0.51 & 120.935509709759 & 0.840849910853458 \tabularnewline
0.52 & 121.074651087237 & 0.752396829325869 \tabularnewline
0.53 & 121.200736962786 & 0.691207324853479 \tabularnewline
0.54 & 121.317599157083 & 0.651241347032586 \tabularnewline
0.55 & 121.428199882423 & 0.626488335233998 \tabularnewline
0.56 & 121.53468389472 & 0.611616894530796 \tabularnewline
0.57 & 121.638469192682 & 0.602198287589296 \tabularnewline
0.58 & 121.740360466387 & 0.594752127413824 \tabularnewline
0.59 & 121.840673135886 & 0.586840612900489 \tabularnewline
0.6 & 121.939358959884 & 0.576681913062964 \tabularnewline
0.61 & 122.036126454661 & 0.563225432657661 \tabularnewline
0.62 & 122.130550791053 & 0.546256261908009 \tabularnewline
0.63 & 122.222168745287 & 0.525871501843636 \tabularnewline
0.64 & 122.310555066678 & 0.502784474735086 \tabularnewline
0.65 & 122.395377628416 & 0.477594312531856 \tabularnewline
0.66 & 122.476430129758 & 0.451539320051855 \tabularnewline
0.67 & 122.553642917888 & 0.425488537367056 \tabularnewline
0.68 & 122.627074530665 & 0.400312304402595 \tabularnewline
0.69 & 122.696888547165 & 0.37667688458996 \tabularnewline
0.7 & 122.763321935991 & 0.354887979199973 \tabularnewline
0.71 & 122.826651980176 & 0.33507656307024 \tabularnewline
0.72 & 122.887168760904 & 0.317207315953894 \tabularnewline
0.73 & 122.945158947453 & 0.300916840647488 \tabularnewline
0.74 & 123.000904296675 & 0.286034703699353 \tabularnewline
0.75 & 123.054695084154 & 0.272430233115455 \tabularnewline
0.76 & 123.106855225058 & 0.260045457772265 \tabularnewline
0.77 & 123.157772906606 & 0.249291888329633 \tabularnewline
0.78 & 123.20792908488 & 0.240643044210889 \tabularnewline
0.79 & 123.257917000971 & 0.234755899273591 \tabularnewline
0.8 & 123.3084492516 & 0.232318809808968 \tabularnewline
0.81 & 123.360354352467 & 0.233666302874256 \tabularnewline
0.82 & 123.414570572724 & 0.238937568893062 \tabularnewline
0.83 & 123.472148718922 & 0.248031842727927 \tabularnewline
0.84 & 123.534275107156 & 0.260724061172378 \tabularnewline
0.85 & 123.602319897076 & 0.27722575530866 \tabularnewline
0.86 & 123.677905034447 & 0.2979218151868 \tabularnewline
0.87 & 123.762972945533 & 0.323696893462595 \tabularnewline
0.88 & 123.859824693291 & 0.355404031243033 \tabularnewline
0.89 & 123.971084872579 & 0.39327063077095 \tabularnewline
0.9 & 124.099537161692 & 0.436799026702577 \tabularnewline
0.91 & 124.247758323887 & 0.484217270082384 \tabularnewline
0.92 & 124.4174735447 & 0.531876757909524 \tabularnewline
0.93 & 124.608602145945 & 0.573288850693519 \tabularnewline
0.94 & 124.818110679473 & 0.598340924769021 \tabularnewline
0.95 & 125.039033721335 & 0.593662986174891 \tabularnewline
0.96 & 125.260197296696 & 0.546937217911794 \tabularnewline
0.97 & 125.466982186891 & 0.455296272375997 \tabularnewline
0.98 & 125.64285472896 & 0.335249893028097 \tabularnewline
0.99 & 125.77132057825 & 0.228022307915074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166447&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]101.313705516124[/C][C]0.470541116797404[/C][/ROW]
[ROW][C]0.02[/C][C]101.531946349282[/C][C]0.508050967657596[/C][/ROW]
[ROW][C]0.03[/C][C]101.79080929417[/C][C]0.561267705003747[/C][/ROW]
[ROW][C]0.04[/C][C]102.057553519177[/C][C]0.601079641799306[/C][/ROW]
[ROW][C]0.05[/C][C]102.314028599096[/C][C]0.611847160876935[/C][/ROW]
[ROW][C]0.06[/C][C]102.551130361937[/C][C]0.593236831914066[/C][/ROW]
[ROW][C]0.07[/C][C]102.764829495963[/C][C]0.555378013561654[/C][/ROW]
[ROW][C]0.08[/C][C]102.954902813778[/C][C]0.51415975178286[/C][/ROW]
[ROW][C]0.09[/C][C]103.124552955433[/C][C]0.486392969768715[/C][/ROW]
[ROW][C]0.1[/C][C]103.279718951981[/C][C]0.485394433502424[/C][/ROW]
[ROW][C]0.11[/C][C]103.427940816032[/C][C]0.516874120253526[/C][/ROW]
[ROW][C]0.12[/C][C]103.577131783324[/C][C]0.579085532794005[/C][/ROW]
[ROW][C]0.13[/C][C]103.734615626496[/C][C]0.666672490096469[/C][/ROW]
[ROW][C]0.14[/C][C]103.906592463718[/C][C]0.774734401260731[/C][/ROW]
[ROW][C]0.15[/C][C]104.098001762844[/C][C]0.899676820324317[/C][/ROW]
[ROW][C]0.16[/C][C]104.312638971899[/C][C]1.03957367463972[/C][/ROW]
[ROW][C]0.17[/C][C]104.553360933639[/C][C]1.19263597232627[/C][/ROW]
[ROW][C]0.18[/C][C]104.822257319458[/C][C]1.35713414497958[/C][/ROW]
[ROW][C]0.19[/C][C]105.120734112444[/C][C]1.53024075823537[/C][/ROW]
[ROW][C]0.2[/C][C]105.449520248281[/C][C]1.70809732005633[/C][/ROW]
[ROW][C]0.21[/C][C]105.808651119374[/C][C]1.88628298076449[/C][/ROW]
[ROW][C]0.22[/C][C]106.197495433072[/C][C]2.06021912895201[/C][/ROW]
[ROW][C]0.23[/C][C]106.614876636268[/C][C]2.22657178311935[/C][/ROW]
[ROW][C]0.24[/C][C]107.059304933358[/C][C]2.38400345335826[/C][/ROW]
[ROW][C]0.25[/C][C]107.529292791615[/C][C]2.53368867421317[/C][/ROW]
[ROW][C]0.26[/C][C]108.023688779759[/C][C]2.67975270108425[/C][/ROW]
[ROW][C]0.27[/C][C]108.541942878447[/C][C]2.82801442559563[/C][/ROW]
[ROW][C]0.28[/C][C]109.084217940552[/C][C]2.98469349201353[/C][/ROW]
[ROW][C]0.29[/C][C]109.651287633185[/C][C]3.15450032843312[/C][/ROW]
[ROW][C]0.3[/C][C]110.244205530639[/C][C]3.33846894152562[/C][/ROW]
[ROW][C]0.31[/C][C]110.863782642684[/C][C]3.53275479495715[/C][/ROW]
[ROW][C]0.32[/C][C]111.50995880617[/C][C]3.72845742746472[/C][/ROW]
[ROW][C]0.33[/C][C]112.181185187011[/C][C]3.9121470156574[/C][/ROW]
[ROW][C]0.34[/C][C]112.873942662932[/C][C]4.06797891500338[/C][/ROW]
[ROW][C]0.35[/C][C]113.582501928713[/C][C]4.18009821802088[/C][/ROW]
[ROW][C]0.36[/C][C]114.298989847308[/C][C]4.23413275578711[/C][/ROW]
[ROW][C]0.37[/C][C]115.01377196876[/C][C]4.22004438924233[/C][/ROW]
[ROW][C]0.38[/C][C]115.71610503869[/C][C]4.13299021343534[/C][/ROW]
[ROW][C]0.39[/C][C]116.39496729391[/C][C]3.97389459526744[/C][/ROW]
[ROW][C]0.4[/C][C]117.039947119532[/C][C]3.74987780491317[/C][/ROW]
[ROW][C]0.41[/C][C]117.64206633893[/C][C]3.47235679169295[/C][/ROW]
[ROW][C]0.42[/C][C]118.194432022802[/C][C]3.15646010143943[/C][/ROW]
[ROW][C]0.43[/C][C]118.692644840625[/C][C]2.81910858818861[/C][/ROW]
[ROW][C]0.44[/C][C]119.134934507402[/C][C]2.47682022005132[/C][/ROW]
[ROW][C]0.45[/C][C]119.522035018584[/C][C]2.1448118452474[/C][/ROW]
[ROW][C]0.46[/C][C]119.856846632453[/C][C]1.83579730729284[/C][/ROW]
[ROW][C]0.47[/C][C]120.143953143382[/C][C]1.55878818472616[/C][/ROW]
[ROW][C]0.48[/C][C]120.389070323321[/C][C]1.3197596354983[/C][/ROW]
[ROW][C]0.49[/C][C]120.598495919075[/C][C]1.12091775681499[/C][/ROW]
[ROW][C]0.5[/C][C]120.778616841747[/C][C]0.96222506869961[/C][/ROW]
[ROW][C]0.51[/C][C]120.935509709759[/C][C]0.840849910853458[/C][/ROW]
[ROW][C]0.52[/C][C]121.074651087237[/C][C]0.752396829325869[/C][/ROW]
[ROW][C]0.53[/C][C]121.200736962786[/C][C]0.691207324853479[/C][/ROW]
[ROW][C]0.54[/C][C]121.317599157083[/C][C]0.651241347032586[/C][/ROW]
[ROW][C]0.55[/C][C]121.428199882423[/C][C]0.626488335233998[/C][/ROW]
[ROW][C]0.56[/C][C]121.53468389472[/C][C]0.611616894530796[/C][/ROW]
[ROW][C]0.57[/C][C]121.638469192682[/C][C]0.602198287589296[/C][/ROW]
[ROW][C]0.58[/C][C]121.740360466387[/C][C]0.594752127413824[/C][/ROW]
[ROW][C]0.59[/C][C]121.840673135886[/C][C]0.586840612900489[/C][/ROW]
[ROW][C]0.6[/C][C]121.939358959884[/C][C]0.576681913062964[/C][/ROW]
[ROW][C]0.61[/C][C]122.036126454661[/C][C]0.563225432657661[/C][/ROW]
[ROW][C]0.62[/C][C]122.130550791053[/C][C]0.546256261908009[/C][/ROW]
[ROW][C]0.63[/C][C]122.222168745287[/C][C]0.525871501843636[/C][/ROW]
[ROW][C]0.64[/C][C]122.310555066678[/C][C]0.502784474735086[/C][/ROW]
[ROW][C]0.65[/C][C]122.395377628416[/C][C]0.477594312531856[/C][/ROW]
[ROW][C]0.66[/C][C]122.476430129758[/C][C]0.451539320051855[/C][/ROW]
[ROW][C]0.67[/C][C]122.553642917888[/C][C]0.425488537367056[/C][/ROW]
[ROW][C]0.68[/C][C]122.627074530665[/C][C]0.400312304402595[/C][/ROW]
[ROW][C]0.69[/C][C]122.696888547165[/C][C]0.37667688458996[/C][/ROW]
[ROW][C]0.7[/C][C]122.763321935991[/C][C]0.354887979199973[/C][/ROW]
[ROW][C]0.71[/C][C]122.826651980176[/C][C]0.33507656307024[/C][/ROW]
[ROW][C]0.72[/C][C]122.887168760904[/C][C]0.317207315953894[/C][/ROW]
[ROW][C]0.73[/C][C]122.945158947453[/C][C]0.300916840647488[/C][/ROW]
[ROW][C]0.74[/C][C]123.000904296675[/C][C]0.286034703699353[/C][/ROW]
[ROW][C]0.75[/C][C]123.054695084154[/C][C]0.272430233115455[/C][/ROW]
[ROW][C]0.76[/C][C]123.106855225058[/C][C]0.260045457772265[/C][/ROW]
[ROW][C]0.77[/C][C]123.157772906606[/C][C]0.249291888329633[/C][/ROW]
[ROW][C]0.78[/C][C]123.20792908488[/C][C]0.240643044210889[/C][/ROW]
[ROW][C]0.79[/C][C]123.257917000971[/C][C]0.234755899273591[/C][/ROW]
[ROW][C]0.8[/C][C]123.3084492516[/C][C]0.232318809808968[/C][/ROW]
[ROW][C]0.81[/C][C]123.360354352467[/C][C]0.233666302874256[/C][/ROW]
[ROW][C]0.82[/C][C]123.414570572724[/C][C]0.238937568893062[/C][/ROW]
[ROW][C]0.83[/C][C]123.472148718922[/C][C]0.248031842727927[/C][/ROW]
[ROW][C]0.84[/C][C]123.534275107156[/C][C]0.260724061172378[/C][/ROW]
[ROW][C]0.85[/C][C]123.602319897076[/C][C]0.27722575530866[/C][/ROW]
[ROW][C]0.86[/C][C]123.677905034447[/C][C]0.2979218151868[/C][/ROW]
[ROW][C]0.87[/C][C]123.762972945533[/C][C]0.323696893462595[/C][/ROW]
[ROW][C]0.88[/C][C]123.859824693291[/C][C]0.355404031243033[/C][/ROW]
[ROW][C]0.89[/C][C]123.971084872579[/C][C]0.39327063077095[/C][/ROW]
[ROW][C]0.9[/C][C]124.099537161692[/C][C]0.436799026702577[/C][/ROW]
[ROW][C]0.91[/C][C]124.247758323887[/C][C]0.484217270082384[/C][/ROW]
[ROW][C]0.92[/C][C]124.4174735447[/C][C]0.531876757909524[/C][/ROW]
[ROW][C]0.93[/C][C]124.608602145945[/C][C]0.573288850693519[/C][/ROW]
[ROW][C]0.94[/C][C]124.818110679473[/C][C]0.598340924769021[/C][/ROW]
[ROW][C]0.95[/C][C]125.039033721335[/C][C]0.593662986174891[/C][/ROW]
[ROW][C]0.96[/C][C]125.260197296696[/C][C]0.546937217911794[/C][/ROW]
[ROW][C]0.97[/C][C]125.466982186891[/C][C]0.455296272375997[/C][/ROW]
[ROW][C]0.98[/C][C]125.64285472896[/C][C]0.335249893028097[/C][/ROW]
[ROW][C]0.99[/C][C]125.77132057825[/C][C]0.228022307915074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166447&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166447&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
0.01101.3137055161240.470541116797404
0.02101.5319463492820.508050967657596
0.03101.790809294170.561267705003747
0.04102.0575535191770.601079641799306
0.05102.3140285990960.611847160876935
0.06102.5511303619370.593236831914066
0.07102.7648294959630.555378013561654
0.08102.9549028137780.51415975178286
0.09103.1245529554330.486392969768715
0.1103.2797189519810.485394433502424
0.11103.4279408160320.516874120253526
0.12103.5771317833240.579085532794005
0.13103.7346156264960.666672490096469
0.14103.9065924637180.774734401260731
0.15104.0980017628440.899676820324317
0.16104.3126389718991.03957367463972
0.17104.5533609336391.19263597232627
0.18104.8222573194581.35713414497958
0.19105.1207341124441.53024075823537
0.2105.4495202482811.70809732005633
0.21105.8086511193741.88628298076449
0.22106.1974954330722.06021912895201
0.23106.6148766362682.22657178311935
0.24107.0593049333582.38400345335826
0.25107.5292927916152.53368867421317
0.26108.0236887797592.67975270108425
0.27108.5419428784472.82801442559563
0.28109.0842179405522.98469349201353
0.29109.6512876331853.15450032843312
0.3110.2442055306393.33846894152562
0.31110.8637826426843.53275479495715
0.32111.509958806173.72845742746472
0.33112.1811851870113.9121470156574
0.34112.8739426629324.06797891500338
0.35113.5825019287134.18009821802088
0.36114.2989898473084.23413275578711
0.37115.013771968764.22004438924233
0.38115.716105038694.13299021343534
0.39116.394967293913.97389459526744
0.4117.0399471195323.74987780491317
0.41117.642066338933.47235679169295
0.42118.1944320228023.15646010143943
0.43118.6926448406252.81910858818861
0.44119.1349345074022.47682022005132
0.45119.5220350185842.1448118452474
0.46119.8568466324531.83579730729284
0.47120.1439531433821.55878818472616
0.48120.3890703233211.3197596354983
0.49120.5984959190751.12091775681499
0.5120.7786168417470.96222506869961
0.51120.9355097097590.840849910853458
0.52121.0746510872370.752396829325869
0.53121.2007369627860.691207324853479
0.54121.3175991570830.651241347032586
0.55121.4281998824230.626488335233998
0.56121.534683894720.611616894530796
0.57121.6384691926820.602198287589296
0.58121.7403604663870.594752127413824
0.59121.8406731358860.586840612900489
0.6121.9393589598840.576681913062964
0.61122.0361264546610.563225432657661
0.62122.1305507910530.546256261908009
0.63122.2221687452870.525871501843636
0.64122.3105550666780.502784474735086
0.65122.3953776284160.477594312531856
0.66122.4764301297580.451539320051855
0.67122.5536429178880.425488537367056
0.68122.6270745306650.400312304402595
0.69122.6968885471650.37667688458996
0.7122.7633219359910.354887979199973
0.71122.8266519801760.33507656307024
0.72122.8871687609040.317207315953894
0.73122.9451589474530.300916840647488
0.74123.0009042966750.286034703699353
0.75123.0546950841540.272430233115455
0.76123.1068552250580.260045457772265
0.77123.1577729066060.249291888329633
0.78123.207929084880.240643044210889
0.79123.2579170009710.234755899273591
0.8123.30844925160.232318809808968
0.81123.3603543524670.233666302874256
0.82123.4145705727240.238937568893062
0.83123.4721487189220.248031842727927
0.84123.5342751071560.260724061172378
0.85123.6023198970760.27722575530866
0.86123.6779050344470.2979218151868
0.87123.7629729455330.323696893462595
0.88123.8598246932910.355404031243033
0.89123.9710848725790.39327063077095
0.9124.0995371616920.436799026702577
0.91124.2477583238870.484217270082384
0.92124.41747354470.531876757909524
0.93124.6086021459450.573288850693519
0.94124.8181106794730.598340924769021
0.95125.0390337213350.593662986174891
0.96125.2601972966960.546937217911794
0.97125.4669821868910.455296272375997
0.98125.642854728960.335249893028097
0.99125.771320578250.228022307915074


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')