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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 06 Jan 2008 08:51:02 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Jan/06/t1199634686nogngzx9os89mqf.htm/, Retrieved Mon, 13 May 2024 01:04:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7821, Retrieved Mon, 13 May 2024 01:04:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInvestigating associations werkgelegenheid Q7
Estimated Impact209

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [WS2 - Robustness ...] [2007-10-20 13:06:37] [5343e105a400b9e32bf6f011133bbaf4]
- RM D    [Harrell-Davis Quantiles] [CVWS1WLQ7] [2008-01-06 15:51:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,6
8,6
8,5
8,4
8,3
8,3
8,2
8,2
8,1
8,0
8,0
7,9
7,8
7,8
7,8
7,8
7,8
7,8
7,8
7,8
7,8
7,9
7,9
7,9
8,0
8,0
8,0
8,1
8,1
8,2
8,3
8,3
8,3
8,4
8,5
8,5
8,6
8,6
8,7
8,6
8,7
8,7
8,6
8,6
8,7
8,7
8,7
8,7
8,7
8,7
8,8
8,8
8,8
8,8
8,8
8,8
8,8
8,8
8,9
8,9
8,9
8,9
9,0
8,9
8,9
8,9
8,8
8,8
8,8
8,8
8,7
8,6
8,7
8,6
8,6
8,4
8,4
8,3
8,1
8,1
8,0
8,0
7,9
7,8
7,7
7,6
7,6
7,5
7,5
7,4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7821&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7821&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0257.513133639811280.0692499700315565
0.0357.560949998472670.0837515203151969
0.0457.607646902184370.0944411033657587
0.0557.652858877633730.0960518275652291
0.0657.694032845062460.0879914426416174
0.0757.728621450691120.0726917182312356
0.0857.755365565830180.0545531157294773
0.0957.774568121337960.0379960088317252
0.1057.787729027733470.0260467544965521
0.1157.796912800299680.0202809241126394
0.1257.80416985473820.0207678371239295
0.1357.811176499342990.0256558041608987
0.1457.81909542162270.0328105254950031
0.1557.828581256118030.0407275991403566
0.1657.839858150378320.0483173936344901
0.1757.852826126192840.0547909383499017
0.1857.867174779001080.0597080673536181
0.1957.882490565254480.0629630616994228
0.2057.898346216019980.0646987690799662
0.2157.914364976101240.0652007161214227
0.2257.930258947695580.0648284801801666
0.2357.945846356063070.0639580474577206
0.2457.9610542786020.0630090303163872
0.2557.975911554739170.0624076041138305
0.2657.990533743266470.0625366395366288
0.2758.005100606119410.0636932028835821
0.2858.019827429992570.0659465004332519
0.2958.034933480907240.0692194771905721
0.3058.050612285611840.0732625243190323
0.3158.067008165679520.0777728090121746
0.3258.084201673175780.0824197553878713
0.3358.102204342396230.0868835991929543
0.3458.120961588658140.0908793381799285
0.3558.1403621225230.0941845704940494
0.3658.160252580378580.0965988756734337
0.3758.180456440766360.0980451340819869
0.3858.200796071204430.0985487364436342
0.3958.221115831294040.0982809848196225
0.4058.24130300183560.097498360597241
0.4158.261302635753310.0965674278591123
0.4258.281122801226280.0958719541570118
0.4358.300828225689220.095690859407290
0.4458.320522668933820.0962067157913038
0.4558.340322767624520.097411412436429
0.4658.360327915695350.0991008592126104
0.4758.380591546465670.100939895295563
0.4858.401098893501370.102504050770394
0.4958.421755151250580.103330317099847
0.5058.442386283062230.103026458343033
0.5158.462752849705820.101289817728645
0.5258.482575363323420.0979738551987011
0.5358.501567934816220.0931339228843588
0.5458.519475504907470.0869848280584282
0.5558.53610893360250.0799416476425869
0.5658.551371948940240.0725264718147252
0.5758.565274695884170.0653338544066022
0.5858.577930509660190.0589288310763674
0.5958.589535427893740.0537807788308306
0.6058.600333396060330.0501209946426182
0.6158.610573388717130.0479097891036785
0.6258.62046693494470.0468125217902957
0.6358.630155088638330.046313947149685
0.6458.63969235786390.0458354758395667
0.6558.649051642797280.0449196691913463
0.6658.658149499974970.04331152457559
0.6758.66688612059140.0409949892877324
0.6858.675190485970620.038212136731972
0.6958.683059270223920.0354076763634035
0.7058.690578787110090.0331424789449656
0.7158.697922641843660.0319552422820708
0.7258.705323193681470.0321822955978522
0.7358.713021421940530.0337650172243025
0.7458.7212059194190.0362351356047616
0.7558.729955934377640.0388778645123126
0.7658.73920418609880.0408970052748077
0.7758.748731730319370.0416083188036497
0.7858.758199755649120.0405777320957079
0.7958.76721366699280.0377122648921674
0.8058.77540620762270.0332910348375098
0.8158.782521862400530.0278984039263305
0.8258.788485998004880.0223279178077331
0.8358.793447820718070.0174627389627222
0.8458.797792041730020.0142521362839623
0.8558.802115245194580.0137503718923771
0.8658.807157976084580.0165070036502127
0.8758.813678543404530.0219852366372910
0.8858.82226253925250.0289798644696527
0.8958.833094670004570.03577814836477
0.9058.845771315268030.0403386523325156
0.9158.859270130960890.040869295036829
0.9258.872169102195480.0366607525459575
0.9358.883106542671430.0286289048148274
0.9458.891373339730130.0191217789680902
0.9558.897598723374350.0110610714434508
0.9658.904748035695660.0088522023523948
0.9758.919176663614240.0202043461742693

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 7.51313363981128 & 0.0692499700315565 \tabularnewline
0.035 & 7.56094999847267 & 0.0837515203151969 \tabularnewline
0.045 & 7.60764690218437 & 0.0944411033657587 \tabularnewline
0.055 & 7.65285887763373 & 0.0960518275652291 \tabularnewline
0.065 & 7.69403284506246 & 0.0879914426416174 \tabularnewline
0.075 & 7.72862145069112 & 0.0726917182312356 \tabularnewline
0.085 & 7.75536556583018 & 0.0545531157294773 \tabularnewline
0.095 & 7.77456812133796 & 0.0379960088317252 \tabularnewline
0.105 & 7.78772902773347 & 0.0260467544965521 \tabularnewline
0.115 & 7.79691280029968 & 0.0202809241126394 \tabularnewline
0.125 & 7.8041698547382 & 0.0207678371239295 \tabularnewline
0.135 & 7.81117649934299 & 0.0256558041608987 \tabularnewline
0.145 & 7.8190954216227 & 0.0328105254950031 \tabularnewline
0.155 & 7.82858125611803 & 0.0407275991403566 \tabularnewline
0.165 & 7.83985815037832 & 0.0483173936344901 \tabularnewline
0.175 & 7.85282612619284 & 0.0547909383499017 \tabularnewline
0.185 & 7.86717477900108 & 0.0597080673536181 \tabularnewline
0.195 & 7.88249056525448 & 0.0629630616994228 \tabularnewline
0.205 & 7.89834621601998 & 0.0646987690799662 \tabularnewline
0.215 & 7.91436497610124 & 0.0652007161214227 \tabularnewline
0.225 & 7.93025894769558 & 0.0648284801801666 \tabularnewline
0.235 & 7.94584635606307 & 0.0639580474577206 \tabularnewline
0.245 & 7.961054278602 & 0.0630090303163872 \tabularnewline
0.255 & 7.97591155473917 & 0.0624076041138305 \tabularnewline
0.265 & 7.99053374326647 & 0.0625366395366288 \tabularnewline
0.275 & 8.00510060611941 & 0.0636932028835821 \tabularnewline
0.285 & 8.01982742999257 & 0.0659465004332519 \tabularnewline
0.295 & 8.03493348090724 & 0.0692194771905721 \tabularnewline
0.305 & 8.05061228561184 & 0.0732625243190323 \tabularnewline
0.315 & 8.06700816567952 & 0.0777728090121746 \tabularnewline
0.325 & 8.08420167317578 & 0.0824197553878713 \tabularnewline
0.335 & 8.10220434239623 & 0.0868835991929543 \tabularnewline
0.345 & 8.12096158865814 & 0.0908793381799285 \tabularnewline
0.355 & 8.140362122523 & 0.0941845704940494 \tabularnewline
0.365 & 8.16025258037858 & 0.0965988756734337 \tabularnewline
0.375 & 8.18045644076636 & 0.0980451340819869 \tabularnewline
0.385 & 8.20079607120443 & 0.0985487364436342 \tabularnewline
0.395 & 8.22111583129404 & 0.0982809848196225 \tabularnewline
0.405 & 8.2413030018356 & 0.097498360597241 \tabularnewline
0.415 & 8.26130263575331 & 0.0965674278591123 \tabularnewline
0.425 & 8.28112280122628 & 0.0958719541570118 \tabularnewline
0.435 & 8.30082822568922 & 0.095690859407290 \tabularnewline
0.445 & 8.32052266893382 & 0.0962067157913038 \tabularnewline
0.455 & 8.34032276762452 & 0.097411412436429 \tabularnewline
0.465 & 8.36032791569535 & 0.0991008592126104 \tabularnewline
0.475 & 8.38059154646567 & 0.100939895295563 \tabularnewline
0.485 & 8.40109889350137 & 0.102504050770394 \tabularnewline
0.495 & 8.42175515125058 & 0.103330317099847 \tabularnewline
0.505 & 8.44238628306223 & 0.103026458343033 \tabularnewline
0.515 & 8.46275284970582 & 0.101289817728645 \tabularnewline
0.525 & 8.48257536332342 & 0.0979738551987011 \tabularnewline
0.535 & 8.50156793481622 & 0.0931339228843588 \tabularnewline
0.545 & 8.51947550490747 & 0.0869848280584282 \tabularnewline
0.555 & 8.5361089336025 & 0.0799416476425869 \tabularnewline
0.565 & 8.55137194894024 & 0.0725264718147252 \tabularnewline
0.575 & 8.56527469588417 & 0.0653338544066022 \tabularnewline
0.585 & 8.57793050966019 & 0.0589288310763674 \tabularnewline
0.595 & 8.58953542789374 & 0.0537807788308306 \tabularnewline
0.605 & 8.60033339606033 & 0.0501209946426182 \tabularnewline
0.615 & 8.61057338871713 & 0.0479097891036785 \tabularnewline
0.625 & 8.6204669349447 & 0.0468125217902957 \tabularnewline
0.635 & 8.63015508863833 & 0.046313947149685 \tabularnewline
0.645 & 8.6396923578639 & 0.0458354758395667 \tabularnewline
0.655 & 8.64905164279728 & 0.0449196691913463 \tabularnewline
0.665 & 8.65814949997497 & 0.04331152457559 \tabularnewline
0.675 & 8.6668861205914 & 0.0409949892877324 \tabularnewline
0.685 & 8.67519048597062 & 0.038212136731972 \tabularnewline
0.695 & 8.68305927022392 & 0.0354076763634035 \tabularnewline
0.705 & 8.69057878711009 & 0.0331424789449656 \tabularnewline
0.715 & 8.69792264184366 & 0.0319552422820708 \tabularnewline
0.725 & 8.70532319368147 & 0.0321822955978522 \tabularnewline
0.735 & 8.71302142194053 & 0.0337650172243025 \tabularnewline
0.745 & 8.721205919419 & 0.0362351356047616 \tabularnewline
0.755 & 8.72995593437764 & 0.0388778645123126 \tabularnewline
0.765 & 8.7392041860988 & 0.0408970052748077 \tabularnewline
0.775 & 8.74873173031937 & 0.0416083188036497 \tabularnewline
0.785 & 8.75819975564912 & 0.0405777320957079 \tabularnewline
0.795 & 8.7672136669928 & 0.0377122648921674 \tabularnewline
0.805 & 8.7754062076227 & 0.0332910348375098 \tabularnewline
0.815 & 8.78252186240053 & 0.0278984039263305 \tabularnewline
0.825 & 8.78848599800488 & 0.0223279178077331 \tabularnewline
0.835 & 8.79344782071807 & 0.0174627389627222 \tabularnewline
0.845 & 8.79779204173002 & 0.0142521362839623 \tabularnewline
0.855 & 8.80211524519458 & 0.0137503718923771 \tabularnewline
0.865 & 8.80715797608458 & 0.0165070036502127 \tabularnewline
0.875 & 8.81367854340453 & 0.0219852366372910 \tabularnewline
0.885 & 8.8222625392525 & 0.0289798644696527 \tabularnewline
0.895 & 8.83309467000457 & 0.03577814836477 \tabularnewline
0.905 & 8.84577131526803 & 0.0403386523325156 \tabularnewline
0.915 & 8.85927013096089 & 0.040869295036829 \tabularnewline
0.925 & 8.87216910219548 & 0.0366607525459575 \tabularnewline
0.935 & 8.88310654267143 & 0.0286289048148274 \tabularnewline
0.945 & 8.89137333973013 & 0.0191217789680902 \tabularnewline
0.955 & 8.89759872337435 & 0.0110610714434508 \tabularnewline
0.965 & 8.90474803569566 & 0.0088522023523948 \tabularnewline
0.975 & 8.91917666361424 & 0.0202043461742693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7821&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]7.51313363981128[/C][C]0.0692499700315565[/C][/ROW]
[ROW][C]0.035[/C][C]7.56094999847267[/C][C]0.0837515203151969[/C][/ROW]
[ROW][C]0.045[/C][C]7.60764690218437[/C][C]0.0944411033657587[/C][/ROW]
[ROW][C]0.055[/C][C]7.65285887763373[/C][C]0.0960518275652291[/C][/ROW]
[ROW][C]0.065[/C][C]7.69403284506246[/C][C]0.0879914426416174[/C][/ROW]
[ROW][C]0.075[/C][C]7.72862145069112[/C][C]0.0726917182312356[/C][/ROW]
[ROW][C]0.085[/C][C]7.75536556583018[/C][C]0.0545531157294773[/C][/ROW]
[ROW][C]0.095[/C][C]7.77456812133796[/C][C]0.0379960088317252[/C][/ROW]
[ROW][C]0.105[/C][C]7.78772902773347[/C][C]0.0260467544965521[/C][/ROW]
[ROW][C]0.115[/C][C]7.79691280029968[/C][C]0.0202809241126394[/C][/ROW]
[ROW][C]0.125[/C][C]7.8041698547382[/C][C]0.0207678371239295[/C][/ROW]
[ROW][C]0.135[/C][C]7.81117649934299[/C][C]0.0256558041608987[/C][/ROW]
[ROW][C]0.145[/C][C]7.8190954216227[/C][C]0.0328105254950031[/C][/ROW]
[ROW][C]0.155[/C][C]7.82858125611803[/C][C]0.0407275991403566[/C][/ROW]
[ROW][C]0.165[/C][C]7.83985815037832[/C][C]0.0483173936344901[/C][/ROW]
[ROW][C]0.175[/C][C]7.85282612619284[/C][C]0.0547909383499017[/C][/ROW]
[ROW][C]0.185[/C][C]7.86717477900108[/C][C]0.0597080673536181[/C][/ROW]
[ROW][C]0.195[/C][C]7.88249056525448[/C][C]0.0629630616994228[/C][/ROW]
[ROW][C]0.205[/C][C]7.89834621601998[/C][C]0.0646987690799662[/C][/ROW]
[ROW][C]0.215[/C][C]7.91436497610124[/C][C]0.0652007161214227[/C][/ROW]
[ROW][C]0.225[/C][C]7.93025894769558[/C][C]0.0648284801801666[/C][/ROW]
[ROW][C]0.235[/C][C]7.94584635606307[/C][C]0.0639580474577206[/C][/ROW]
[ROW][C]0.245[/C][C]7.961054278602[/C][C]0.0630090303163872[/C][/ROW]
[ROW][C]0.255[/C][C]7.97591155473917[/C][C]0.0624076041138305[/C][/ROW]
[ROW][C]0.265[/C][C]7.99053374326647[/C][C]0.0625366395366288[/C][/ROW]
[ROW][C]0.275[/C][C]8.00510060611941[/C][C]0.0636932028835821[/C][/ROW]
[ROW][C]0.285[/C][C]8.01982742999257[/C][C]0.0659465004332519[/C][/ROW]
[ROW][C]0.295[/C][C]8.03493348090724[/C][C]0.0692194771905721[/C][/ROW]
[ROW][C]0.305[/C][C]8.05061228561184[/C][C]0.0732625243190323[/C][/ROW]
[ROW][C]0.315[/C][C]8.06700816567952[/C][C]0.0777728090121746[/C][/ROW]
[ROW][C]0.325[/C][C]8.08420167317578[/C][C]0.0824197553878713[/C][/ROW]
[ROW][C]0.335[/C][C]8.10220434239623[/C][C]0.0868835991929543[/C][/ROW]
[ROW][C]0.345[/C][C]8.12096158865814[/C][C]0.0908793381799285[/C][/ROW]
[ROW][C]0.355[/C][C]8.140362122523[/C][C]0.0941845704940494[/C][/ROW]
[ROW][C]0.365[/C][C]8.16025258037858[/C][C]0.0965988756734337[/C][/ROW]
[ROW][C]0.375[/C][C]8.18045644076636[/C][C]0.0980451340819869[/C][/ROW]
[ROW][C]0.385[/C][C]8.20079607120443[/C][C]0.0985487364436342[/C][/ROW]
[ROW][C]0.395[/C][C]8.22111583129404[/C][C]0.0982809848196225[/C][/ROW]
[ROW][C]0.405[/C][C]8.2413030018356[/C][C]0.097498360597241[/C][/ROW]
[ROW][C]0.415[/C][C]8.26130263575331[/C][C]0.0965674278591123[/C][/ROW]
[ROW][C]0.425[/C][C]8.28112280122628[/C][C]0.0958719541570118[/C][/ROW]
[ROW][C]0.435[/C][C]8.30082822568922[/C][C]0.095690859407290[/C][/ROW]
[ROW][C]0.445[/C][C]8.32052266893382[/C][C]0.0962067157913038[/C][/ROW]
[ROW][C]0.455[/C][C]8.34032276762452[/C][C]0.097411412436429[/C][/ROW]
[ROW][C]0.465[/C][C]8.36032791569535[/C][C]0.0991008592126104[/C][/ROW]
[ROW][C]0.475[/C][C]8.38059154646567[/C][C]0.100939895295563[/C][/ROW]
[ROW][C]0.485[/C][C]8.40109889350137[/C][C]0.102504050770394[/C][/ROW]
[ROW][C]0.495[/C][C]8.42175515125058[/C][C]0.103330317099847[/C][/ROW]
[ROW][C]0.505[/C][C]8.44238628306223[/C][C]0.103026458343033[/C][/ROW]
[ROW][C]0.515[/C][C]8.46275284970582[/C][C]0.101289817728645[/C][/ROW]
[ROW][C]0.525[/C][C]8.48257536332342[/C][C]0.0979738551987011[/C][/ROW]
[ROW][C]0.535[/C][C]8.50156793481622[/C][C]0.0931339228843588[/C][/ROW]
[ROW][C]0.545[/C][C]8.51947550490747[/C][C]0.0869848280584282[/C][/ROW]
[ROW][C]0.555[/C][C]8.5361089336025[/C][C]0.0799416476425869[/C][/ROW]
[ROW][C]0.565[/C][C]8.55137194894024[/C][C]0.0725264718147252[/C][/ROW]
[ROW][C]0.575[/C][C]8.56527469588417[/C][C]0.0653338544066022[/C][/ROW]
[ROW][C]0.585[/C][C]8.57793050966019[/C][C]0.0589288310763674[/C][/ROW]
[ROW][C]0.595[/C][C]8.58953542789374[/C][C]0.0537807788308306[/C][/ROW]
[ROW][C]0.605[/C][C]8.60033339606033[/C][C]0.0501209946426182[/C][/ROW]
[ROW][C]0.615[/C][C]8.61057338871713[/C][C]0.0479097891036785[/C][/ROW]
[ROW][C]0.625[/C][C]8.6204669349447[/C][C]0.0468125217902957[/C][/ROW]
[ROW][C]0.635[/C][C]8.63015508863833[/C][C]0.046313947149685[/C][/ROW]
[ROW][C]0.645[/C][C]8.6396923578639[/C][C]0.0458354758395667[/C][/ROW]
[ROW][C]0.655[/C][C]8.64905164279728[/C][C]0.0449196691913463[/C][/ROW]
[ROW][C]0.665[/C][C]8.65814949997497[/C][C]0.04331152457559[/C][/ROW]
[ROW][C]0.675[/C][C]8.6668861205914[/C][C]0.0409949892877324[/C][/ROW]
[ROW][C]0.685[/C][C]8.67519048597062[/C][C]0.038212136731972[/C][/ROW]
[ROW][C]0.695[/C][C]8.68305927022392[/C][C]0.0354076763634035[/C][/ROW]
[ROW][C]0.705[/C][C]8.69057878711009[/C][C]0.0331424789449656[/C][/ROW]
[ROW][C]0.715[/C][C]8.69792264184366[/C][C]0.0319552422820708[/C][/ROW]
[ROW][C]0.725[/C][C]8.70532319368147[/C][C]0.0321822955978522[/C][/ROW]
[ROW][C]0.735[/C][C]8.71302142194053[/C][C]0.0337650172243025[/C][/ROW]
[ROW][C]0.745[/C][C]8.721205919419[/C][C]0.0362351356047616[/C][/ROW]
[ROW][C]0.755[/C][C]8.72995593437764[/C][C]0.0388778645123126[/C][/ROW]
[ROW][C]0.765[/C][C]8.7392041860988[/C][C]0.0408970052748077[/C][/ROW]
[ROW][C]0.775[/C][C]8.74873173031937[/C][C]0.0416083188036497[/C][/ROW]
[ROW][C]0.785[/C][C]8.75819975564912[/C][C]0.0405777320957079[/C][/ROW]
[ROW][C]0.795[/C][C]8.7672136669928[/C][C]0.0377122648921674[/C][/ROW]
[ROW][C]0.805[/C][C]8.7754062076227[/C][C]0.0332910348375098[/C][/ROW]
[ROW][C]0.815[/C][C]8.78252186240053[/C][C]0.0278984039263305[/C][/ROW]
[ROW][C]0.825[/C][C]8.78848599800488[/C][C]0.0223279178077331[/C][/ROW]
[ROW][C]0.835[/C][C]8.79344782071807[/C][C]0.0174627389627222[/C][/ROW]
[ROW][C]0.845[/C][C]8.79779204173002[/C][C]0.0142521362839623[/C][/ROW]
[ROW][C]0.855[/C][C]8.80211524519458[/C][C]0.0137503718923771[/C][/ROW]
[ROW][C]0.865[/C][C]8.80715797608458[/C][C]0.0165070036502127[/C][/ROW]
[ROW][C]0.875[/C][C]8.81367854340453[/C][C]0.0219852366372910[/C][/ROW]
[ROW][C]0.885[/C][C]8.8222625392525[/C][C]0.0289798644696527[/C][/ROW]
[ROW][C]0.895[/C][C]8.83309467000457[/C][C]0.03577814836477[/C][/ROW]
[ROW][C]0.905[/C][C]8.84577131526803[/C][C]0.0403386523325156[/C][/ROW]
[ROW][C]0.915[/C][C]8.85927013096089[/C][C]0.040869295036829[/C][/ROW]
[ROW][C]0.925[/C][C]8.87216910219548[/C][C]0.0366607525459575[/C][/ROW]
[ROW][C]0.935[/C][C]8.88310654267143[/C][C]0.0286289048148274[/C][/ROW]
[ROW][C]0.945[/C][C]8.89137333973013[/C][C]0.0191217789680902[/C][/ROW]
[ROW][C]0.955[/C][C]8.89759872337435[/C][C]0.0110610714434508[/C][/ROW]
[ROW][C]0.965[/C][C]8.90474803569566[/C][C]0.0088522023523948[/C][/ROW]
[ROW][C]0.975[/C][C]8.91917666361424[/C][C]0.0202043461742693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7821&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
0.0257.513133639811280.0692499700315565
0.0357.560949998472670.0837515203151969
0.0457.607646902184370.0944411033657587
0.0557.652858877633730.0960518275652291
0.0657.694032845062460.0879914426416174
0.0757.728621450691120.0726917182312356
0.0857.755365565830180.0545531157294773
0.0957.774568121337960.0379960088317252
0.1057.787729027733470.0260467544965521
0.1157.796912800299680.0202809241126394
0.1257.80416985473820.0207678371239295
0.1357.811176499342990.0256558041608987
0.1457.81909542162270.0328105254950031
0.1557.828581256118030.0407275991403566
0.1657.839858150378320.0483173936344901
0.1757.852826126192840.0547909383499017
0.1857.867174779001080.0597080673536181
0.1957.882490565254480.0629630616994228
0.2057.898346216019980.0646987690799662
0.2157.914364976101240.0652007161214227
0.2257.930258947695580.0648284801801666
0.2357.945846356063070.0639580474577206
0.2457.9610542786020.0630090303163872
0.2557.975911554739170.0624076041138305
0.2657.990533743266470.0625366395366288
0.2758.005100606119410.0636932028835821
0.2858.019827429992570.0659465004332519
0.2958.034933480907240.0692194771905721
0.3058.050612285611840.0732625243190323
0.3158.067008165679520.0777728090121746
0.3258.084201673175780.0824197553878713
0.3358.102204342396230.0868835991929543
0.3458.120961588658140.0908793381799285
0.3558.1403621225230.0941845704940494
0.3658.160252580378580.0965988756734337
0.3758.180456440766360.0980451340819869
0.3858.200796071204430.0985487364436342
0.3958.221115831294040.0982809848196225
0.4058.24130300183560.097498360597241
0.4158.261302635753310.0965674278591123
0.4258.281122801226280.0958719541570118
0.4358.300828225689220.095690859407290
0.4458.320522668933820.0962067157913038
0.4558.340322767624520.097411412436429
0.4658.360327915695350.0991008592126104
0.4758.380591546465670.100939895295563
0.4858.401098893501370.102504050770394
0.4958.421755151250580.103330317099847
0.5058.442386283062230.103026458343033
0.5158.462752849705820.101289817728645
0.5258.482575363323420.0979738551987011
0.5358.501567934816220.0931339228843588
0.5458.519475504907470.0869848280584282
0.5558.53610893360250.0799416476425869
0.5658.551371948940240.0725264718147252
0.5758.565274695884170.0653338544066022
0.5858.577930509660190.0589288310763674
0.5958.589535427893740.0537807788308306
0.6058.600333396060330.0501209946426182
0.6158.610573388717130.0479097891036785
0.6258.62046693494470.0468125217902957
0.6358.630155088638330.046313947149685
0.6458.63969235786390.0458354758395667
0.6558.649051642797280.0449196691913463
0.6658.658149499974970.04331152457559
0.6758.66688612059140.0409949892877324
0.6858.675190485970620.038212136731972
0.6958.683059270223920.0354076763634035
0.7058.690578787110090.0331424789449656
0.7158.697922641843660.0319552422820708
0.7258.705323193681470.0321822955978522
0.7358.713021421940530.0337650172243025
0.7458.7212059194190.0362351356047616
0.7558.729955934377640.0388778645123126
0.7658.73920418609880.0408970052748077
0.7758.748731730319370.0416083188036497
0.7858.758199755649120.0405777320957079
0.7958.76721366699280.0377122648921674
0.8058.77540620762270.0332910348375098
0.8158.782521862400530.0278984039263305
0.8258.788485998004880.0223279178077331
0.8358.793447820718070.0174627389627222
0.8458.797792041730020.0142521362839623
0.8558.802115245194580.0137503718923771
0.8658.807157976084580.0165070036502127
0.8758.813678543404530.0219852366372910
0.8858.82226253925250.0289798644696527
0.8958.833094670004570.03577814836477
0.9058.845771315268030.0403386523325156
0.9158.859270130960890.040869295036829
0.9258.872169102195480.0366607525459575
0.9358.883106542671430.0286289048148274
0.9458.891373339730130.0191217789680902
0.9558.897598723374350.0110610714434508
0.9658.904748035695660.0088522023523948
0.9758.919176663614240.0202043461742693


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')