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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 computationSat, 01 Mar 2008 09:23:24 -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/Mar/01/t1204388666gzubu3mhkp7odu3.htm/, Retrieved Sat, 18 May 2024 05:33:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9421, Retrieved Sat, 18 May 2024 05:33:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPercentielen - Bioscoop - Evy Heynen
Estimated Impact201

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] [Percentielen - Bi...] [2008-03-01 16:23:24] [e5d4dd27997f361fc44e43a7aa346cdf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5,44
5,44
5,44
5,44
5,49
5,49
5,49
5,49
5,49
5,49
5,6
5,6
5,6
5,6
5,6
5,6
5,6
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,82
5,82
5,95
5,95
5,95
5,95
5,95
5,95
6,02
6,02
6,05
6,05
6,05
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,12
6,17
6,17
6,17
6,17
6,17
6,28
6,27
6,28
6,28
6,27
6,27
6,28
6,59
6,59
6,59
6,59
6,59
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,63
6,79
6,79
6,79

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9421&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9421&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9421&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.440585342742450.00213936450229349
0.025.442905766664720.00774788771416367
0.035.447941324051960.0151566046766438
0.045.4556785713030.0210240305137479
0.055.465131793542150.0235186395957047
0.065.475118637062060.0237298902531283
0.075.485021319063670.0245793228917069
0.085.494978383780670.0282281322316156
0.095.505542826709640.0342625551028292
0.15.517182717525060.0407177240307281
0.115.529958761190130.0456605809672905
0.125.543493907163650.0479228736122333
0.135.557161574520010.0473697217784208
0.145.570342370757470.0447409937946862
0.155.582619615054110.0412533532788784
0.165.593852587945710.0381030448118546
0.175.604136760568950.0360339731392149
0.185.613703326147750.0351913988619612
0.195.622818119558700.0352750454138679
0.25.631721044436460.0359345351876203
0.215.640617591316670.0370865375966666
0.225.649708671905030.0389787106845553
0.235.65923198840790.0421588369234635
0.245.669488516132450.0471929091436524
0.255.680837570726860.0543787271216221
0.265.693657715526390.0636067416447208
0.275.708283312194550.074322382727133
0.285.724934420148360.0856501611576
0.295.74365960588210.0965461159843558
0.35.764307403082540.105952727091907
0.315.786534344111850.112987696834845
0.325.809848082564110.117091533674634
0.335.833675700243260.118097807417521
0.345.857441927458120.116241226962944
0.355.88064083186020.112085653107085
0.365.90288747737570.106398258127285
0.375.923941951675450.0999862241222687
0.385.943705162904360.0935736511591388
0.395.962191993403490.0876514674397266
0.45.979491338632830.0824693108359334
0.415.995723652016890.0780175792399462
0.426.0110051184280.0741209440288905
0.436.025424364716140.0705129917580174
0.446.039033796693550.0669520431827968
0.456.051854217997990.0632761276196298
0.466.063888979616410.0594315848601605
0.476.075142767613150.0554873890787371
0.486.085640169221470.0516056650889003
0.496.095440076285280.0480375787402816
0.56.104643432324570.0450493266114854
0.516.113393461571640.0429137063986509
0.526.121869047728580.0418395077046337
0.536.130273142881150.0419317539481172
0.546.138818849311290.043203354168797
0.556.147716074608420.0455454203187645
0.566.157161424072830.0488124257475367
0.576.167333310902920.0528470455352978
0.586.178393189417140.057528203953646
0.596.190492410986970.0627909483450639
0.66.203782575280240.0686667889312799
0.616.218425631212010.0752638951007654
0.626.234598782572340.0827146510670678
0.636.252489033659440.0911311221508554
0.646.272273517596430.100473834914684
0.656.294084833426760.110478944277222
0.666.317965132291740.120566767968841
0.676.343817560687230.129908081406186
0.686.371367255106280.137481366426348
0.696.400144716776330.142245991307098
0.76.429501092132590.143346603517458
0.716.458657954237910.140279050500351
0.726.486785389247190.133019900335768
0.736.51309428834070.122032979240307
0.746.536924457109590.108205231549365
0.756.557811065892520.0926835260936001
0.766.57551780285830.0766839548156512
0.776.590033796408760.0612857519695608
0.786.601539956435430.0473236410131386
0.796.61035617442620.0353063223164781
0.86.616882496469640.025442457970827
0.816.621545300774380.0176905016692664
0.826.624755270723890.0118454421476559
0.836.626879487632290.007617120561786
0.846.628226700371510.00468409558510293
0.856.629043328571160.00274348869464342
0.866.629517975428720.00152479967698160
0.876.6297941555070.000810942029980048
0.886.629995239170690.000478621983691512
0.896.630273439924910.000634610790575955
0.96.630905199253220.00158206077093739
0.916.632458873486380.00399938283291654
0.926.636028836807020.00924037019550988
0.936.643418899001230.0190571623845601
0.946.656961243162840.0344360554674376
0.956.678534416230010.0532047738880724
0.966.707699072525390.0678353611436748
0.976.740012997164570.0674338826086687
0.986.767778822074780.0470455449574573
0.996.784498000098220.0177085893573156

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.44058534274245 & 0.00213936450229349 \tabularnewline
0.02 & 5.44290576666472 & 0.00774788771416367 \tabularnewline
0.03 & 5.44794132405196 & 0.0151566046766438 \tabularnewline
0.04 & 5.455678571303 & 0.0210240305137479 \tabularnewline
0.05 & 5.46513179354215 & 0.0235186395957047 \tabularnewline
0.06 & 5.47511863706206 & 0.0237298902531283 \tabularnewline
0.07 & 5.48502131906367 & 0.0245793228917069 \tabularnewline
0.08 & 5.49497838378067 & 0.0282281322316156 \tabularnewline
0.09 & 5.50554282670964 & 0.0342625551028292 \tabularnewline
0.1 & 5.51718271752506 & 0.0407177240307281 \tabularnewline
0.11 & 5.52995876119013 & 0.0456605809672905 \tabularnewline
0.12 & 5.54349390716365 & 0.0479228736122333 \tabularnewline
0.13 & 5.55716157452001 & 0.0473697217784208 \tabularnewline
0.14 & 5.57034237075747 & 0.0447409937946862 \tabularnewline
0.15 & 5.58261961505411 & 0.0412533532788784 \tabularnewline
0.16 & 5.59385258794571 & 0.0381030448118546 \tabularnewline
0.17 & 5.60413676056895 & 0.0360339731392149 \tabularnewline
0.18 & 5.61370332614775 & 0.0351913988619612 \tabularnewline
0.19 & 5.62281811955870 & 0.0352750454138679 \tabularnewline
0.2 & 5.63172104443646 & 0.0359345351876203 \tabularnewline
0.21 & 5.64061759131667 & 0.0370865375966666 \tabularnewline
0.22 & 5.64970867190503 & 0.0389787106845553 \tabularnewline
0.23 & 5.6592319884079 & 0.0421588369234635 \tabularnewline
0.24 & 5.66948851613245 & 0.0471929091436524 \tabularnewline
0.25 & 5.68083757072686 & 0.0543787271216221 \tabularnewline
0.26 & 5.69365771552639 & 0.0636067416447208 \tabularnewline
0.27 & 5.70828331219455 & 0.074322382727133 \tabularnewline
0.28 & 5.72493442014836 & 0.0856501611576 \tabularnewline
0.29 & 5.7436596058821 & 0.0965461159843558 \tabularnewline
0.3 & 5.76430740308254 & 0.105952727091907 \tabularnewline
0.31 & 5.78653434411185 & 0.112987696834845 \tabularnewline
0.32 & 5.80984808256411 & 0.117091533674634 \tabularnewline
0.33 & 5.83367570024326 & 0.118097807417521 \tabularnewline
0.34 & 5.85744192745812 & 0.116241226962944 \tabularnewline
0.35 & 5.8806408318602 & 0.112085653107085 \tabularnewline
0.36 & 5.9028874773757 & 0.106398258127285 \tabularnewline
0.37 & 5.92394195167545 & 0.0999862241222687 \tabularnewline
0.38 & 5.94370516290436 & 0.0935736511591388 \tabularnewline
0.39 & 5.96219199340349 & 0.0876514674397266 \tabularnewline
0.4 & 5.97949133863283 & 0.0824693108359334 \tabularnewline
0.41 & 5.99572365201689 & 0.0780175792399462 \tabularnewline
0.42 & 6.011005118428 & 0.0741209440288905 \tabularnewline
0.43 & 6.02542436471614 & 0.0705129917580174 \tabularnewline
0.44 & 6.03903379669355 & 0.0669520431827968 \tabularnewline
0.45 & 6.05185421799799 & 0.0632761276196298 \tabularnewline
0.46 & 6.06388897961641 & 0.0594315848601605 \tabularnewline
0.47 & 6.07514276761315 & 0.0554873890787371 \tabularnewline
0.48 & 6.08564016922147 & 0.0516056650889003 \tabularnewline
0.49 & 6.09544007628528 & 0.0480375787402816 \tabularnewline
0.5 & 6.10464343232457 & 0.0450493266114854 \tabularnewline
0.51 & 6.11339346157164 & 0.0429137063986509 \tabularnewline
0.52 & 6.12186904772858 & 0.0418395077046337 \tabularnewline
0.53 & 6.13027314288115 & 0.0419317539481172 \tabularnewline
0.54 & 6.13881884931129 & 0.043203354168797 \tabularnewline
0.55 & 6.14771607460842 & 0.0455454203187645 \tabularnewline
0.56 & 6.15716142407283 & 0.0488124257475367 \tabularnewline
0.57 & 6.16733331090292 & 0.0528470455352978 \tabularnewline
0.58 & 6.17839318941714 & 0.057528203953646 \tabularnewline
0.59 & 6.19049241098697 & 0.0627909483450639 \tabularnewline
0.6 & 6.20378257528024 & 0.0686667889312799 \tabularnewline
0.61 & 6.21842563121201 & 0.0752638951007654 \tabularnewline
0.62 & 6.23459878257234 & 0.0827146510670678 \tabularnewline
0.63 & 6.25248903365944 & 0.0911311221508554 \tabularnewline
0.64 & 6.27227351759643 & 0.100473834914684 \tabularnewline
0.65 & 6.29408483342676 & 0.110478944277222 \tabularnewline
0.66 & 6.31796513229174 & 0.120566767968841 \tabularnewline
0.67 & 6.34381756068723 & 0.129908081406186 \tabularnewline
0.68 & 6.37136725510628 & 0.137481366426348 \tabularnewline
0.69 & 6.40014471677633 & 0.142245991307098 \tabularnewline
0.7 & 6.42950109213259 & 0.143346603517458 \tabularnewline
0.71 & 6.45865795423791 & 0.140279050500351 \tabularnewline
0.72 & 6.48678538924719 & 0.133019900335768 \tabularnewline
0.73 & 6.5130942883407 & 0.122032979240307 \tabularnewline
0.74 & 6.53692445710959 & 0.108205231549365 \tabularnewline
0.75 & 6.55781106589252 & 0.0926835260936001 \tabularnewline
0.76 & 6.5755178028583 & 0.0766839548156512 \tabularnewline
0.77 & 6.59003379640876 & 0.0612857519695608 \tabularnewline
0.78 & 6.60153995643543 & 0.0473236410131386 \tabularnewline
0.79 & 6.6103561744262 & 0.0353063223164781 \tabularnewline
0.8 & 6.61688249646964 & 0.025442457970827 \tabularnewline
0.81 & 6.62154530077438 & 0.0176905016692664 \tabularnewline
0.82 & 6.62475527072389 & 0.0118454421476559 \tabularnewline
0.83 & 6.62687948763229 & 0.007617120561786 \tabularnewline
0.84 & 6.62822670037151 & 0.00468409558510293 \tabularnewline
0.85 & 6.62904332857116 & 0.00274348869464342 \tabularnewline
0.86 & 6.62951797542872 & 0.00152479967698160 \tabularnewline
0.87 & 6.629794155507 & 0.000810942029980048 \tabularnewline
0.88 & 6.62999523917069 & 0.000478621983691512 \tabularnewline
0.89 & 6.63027343992491 & 0.000634610790575955 \tabularnewline
0.9 & 6.63090519925322 & 0.00158206077093739 \tabularnewline
0.91 & 6.63245887348638 & 0.00399938283291654 \tabularnewline
0.92 & 6.63602883680702 & 0.00924037019550988 \tabularnewline
0.93 & 6.64341889900123 & 0.0190571623845601 \tabularnewline
0.94 & 6.65696124316284 & 0.0344360554674376 \tabularnewline
0.95 & 6.67853441623001 & 0.0532047738880724 \tabularnewline
0.96 & 6.70769907252539 & 0.0678353611436748 \tabularnewline
0.97 & 6.74001299716457 & 0.0674338826086687 \tabularnewline
0.98 & 6.76777882207478 & 0.0470455449574573 \tabularnewline
0.99 & 6.78449800009822 & 0.0177085893573156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9421&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]5.44058534274245[/C][C]0.00213936450229349[/C][/ROW]
[ROW][C]0.02[/C][C]5.44290576666472[/C][C]0.00774788771416367[/C][/ROW]
[ROW][C]0.03[/C][C]5.44794132405196[/C][C]0.0151566046766438[/C][/ROW]
[ROW][C]0.04[/C][C]5.455678571303[/C][C]0.0210240305137479[/C][/ROW]
[ROW][C]0.05[/C][C]5.46513179354215[/C][C]0.0235186395957047[/C][/ROW]
[ROW][C]0.06[/C][C]5.47511863706206[/C][C]0.0237298902531283[/C][/ROW]
[ROW][C]0.07[/C][C]5.48502131906367[/C][C]0.0245793228917069[/C][/ROW]
[ROW][C]0.08[/C][C]5.49497838378067[/C][C]0.0282281322316156[/C][/ROW]
[ROW][C]0.09[/C][C]5.50554282670964[/C][C]0.0342625551028292[/C][/ROW]
[ROW][C]0.1[/C][C]5.51718271752506[/C][C]0.0407177240307281[/C][/ROW]
[ROW][C]0.11[/C][C]5.52995876119013[/C][C]0.0456605809672905[/C][/ROW]
[ROW][C]0.12[/C][C]5.54349390716365[/C][C]0.0479228736122333[/C][/ROW]
[ROW][C]0.13[/C][C]5.55716157452001[/C][C]0.0473697217784208[/C][/ROW]
[ROW][C]0.14[/C][C]5.57034237075747[/C][C]0.0447409937946862[/C][/ROW]
[ROW][C]0.15[/C][C]5.58261961505411[/C][C]0.0412533532788784[/C][/ROW]
[ROW][C]0.16[/C][C]5.59385258794571[/C][C]0.0381030448118546[/C][/ROW]
[ROW][C]0.17[/C][C]5.60413676056895[/C][C]0.0360339731392149[/C][/ROW]
[ROW][C]0.18[/C][C]5.61370332614775[/C][C]0.0351913988619612[/C][/ROW]
[ROW][C]0.19[/C][C]5.62281811955870[/C][C]0.0352750454138679[/C][/ROW]
[ROW][C]0.2[/C][C]5.63172104443646[/C][C]0.0359345351876203[/C][/ROW]
[ROW][C]0.21[/C][C]5.64061759131667[/C][C]0.0370865375966666[/C][/ROW]
[ROW][C]0.22[/C][C]5.64970867190503[/C][C]0.0389787106845553[/C][/ROW]
[ROW][C]0.23[/C][C]5.6592319884079[/C][C]0.0421588369234635[/C][/ROW]
[ROW][C]0.24[/C][C]5.66948851613245[/C][C]0.0471929091436524[/C][/ROW]
[ROW][C]0.25[/C][C]5.68083757072686[/C][C]0.0543787271216221[/C][/ROW]
[ROW][C]0.26[/C][C]5.69365771552639[/C][C]0.0636067416447208[/C][/ROW]
[ROW][C]0.27[/C][C]5.70828331219455[/C][C]0.074322382727133[/C][/ROW]
[ROW][C]0.28[/C][C]5.72493442014836[/C][C]0.0856501611576[/C][/ROW]
[ROW][C]0.29[/C][C]5.7436596058821[/C][C]0.0965461159843558[/C][/ROW]
[ROW][C]0.3[/C][C]5.76430740308254[/C][C]0.105952727091907[/C][/ROW]
[ROW][C]0.31[/C][C]5.78653434411185[/C][C]0.112987696834845[/C][/ROW]
[ROW][C]0.32[/C][C]5.80984808256411[/C][C]0.117091533674634[/C][/ROW]
[ROW][C]0.33[/C][C]5.83367570024326[/C][C]0.118097807417521[/C][/ROW]
[ROW][C]0.34[/C][C]5.85744192745812[/C][C]0.116241226962944[/C][/ROW]
[ROW][C]0.35[/C][C]5.8806408318602[/C][C]0.112085653107085[/C][/ROW]
[ROW][C]0.36[/C][C]5.9028874773757[/C][C]0.106398258127285[/C][/ROW]
[ROW][C]0.37[/C][C]5.92394195167545[/C][C]0.0999862241222687[/C][/ROW]
[ROW][C]0.38[/C][C]5.94370516290436[/C][C]0.0935736511591388[/C][/ROW]
[ROW][C]0.39[/C][C]5.96219199340349[/C][C]0.0876514674397266[/C][/ROW]
[ROW][C]0.4[/C][C]5.97949133863283[/C][C]0.0824693108359334[/C][/ROW]
[ROW][C]0.41[/C][C]5.99572365201689[/C][C]0.0780175792399462[/C][/ROW]
[ROW][C]0.42[/C][C]6.011005118428[/C][C]0.0741209440288905[/C][/ROW]
[ROW][C]0.43[/C][C]6.02542436471614[/C][C]0.0705129917580174[/C][/ROW]
[ROW][C]0.44[/C][C]6.03903379669355[/C][C]0.0669520431827968[/C][/ROW]
[ROW][C]0.45[/C][C]6.05185421799799[/C][C]0.0632761276196298[/C][/ROW]
[ROW][C]0.46[/C][C]6.06388897961641[/C][C]0.0594315848601605[/C][/ROW]
[ROW][C]0.47[/C][C]6.07514276761315[/C][C]0.0554873890787371[/C][/ROW]
[ROW][C]0.48[/C][C]6.08564016922147[/C][C]0.0516056650889003[/C][/ROW]
[ROW][C]0.49[/C][C]6.09544007628528[/C][C]0.0480375787402816[/C][/ROW]
[ROW][C]0.5[/C][C]6.10464343232457[/C][C]0.0450493266114854[/C][/ROW]
[ROW][C]0.51[/C][C]6.11339346157164[/C][C]0.0429137063986509[/C][/ROW]
[ROW][C]0.52[/C][C]6.12186904772858[/C][C]0.0418395077046337[/C][/ROW]
[ROW][C]0.53[/C][C]6.13027314288115[/C][C]0.0419317539481172[/C][/ROW]
[ROW][C]0.54[/C][C]6.13881884931129[/C][C]0.043203354168797[/C][/ROW]
[ROW][C]0.55[/C][C]6.14771607460842[/C][C]0.0455454203187645[/C][/ROW]
[ROW][C]0.56[/C][C]6.15716142407283[/C][C]0.0488124257475367[/C][/ROW]
[ROW][C]0.57[/C][C]6.16733331090292[/C][C]0.0528470455352978[/C][/ROW]
[ROW][C]0.58[/C][C]6.17839318941714[/C][C]0.057528203953646[/C][/ROW]
[ROW][C]0.59[/C][C]6.19049241098697[/C][C]0.0627909483450639[/C][/ROW]
[ROW][C]0.6[/C][C]6.20378257528024[/C][C]0.0686667889312799[/C][/ROW]
[ROW][C]0.61[/C][C]6.21842563121201[/C][C]0.0752638951007654[/C][/ROW]
[ROW][C]0.62[/C][C]6.23459878257234[/C][C]0.0827146510670678[/C][/ROW]
[ROW][C]0.63[/C][C]6.25248903365944[/C][C]0.0911311221508554[/C][/ROW]
[ROW][C]0.64[/C][C]6.27227351759643[/C][C]0.100473834914684[/C][/ROW]
[ROW][C]0.65[/C][C]6.29408483342676[/C][C]0.110478944277222[/C][/ROW]
[ROW][C]0.66[/C][C]6.31796513229174[/C][C]0.120566767968841[/C][/ROW]
[ROW][C]0.67[/C][C]6.34381756068723[/C][C]0.129908081406186[/C][/ROW]
[ROW][C]0.68[/C][C]6.37136725510628[/C][C]0.137481366426348[/C][/ROW]
[ROW][C]0.69[/C][C]6.40014471677633[/C][C]0.142245991307098[/C][/ROW]
[ROW][C]0.7[/C][C]6.42950109213259[/C][C]0.143346603517458[/C][/ROW]
[ROW][C]0.71[/C][C]6.45865795423791[/C][C]0.140279050500351[/C][/ROW]
[ROW][C]0.72[/C][C]6.48678538924719[/C][C]0.133019900335768[/C][/ROW]
[ROW][C]0.73[/C][C]6.5130942883407[/C][C]0.122032979240307[/C][/ROW]
[ROW][C]0.74[/C][C]6.53692445710959[/C][C]0.108205231549365[/C][/ROW]
[ROW][C]0.75[/C][C]6.55781106589252[/C][C]0.0926835260936001[/C][/ROW]
[ROW][C]0.76[/C][C]6.5755178028583[/C][C]0.0766839548156512[/C][/ROW]
[ROW][C]0.77[/C][C]6.59003379640876[/C][C]0.0612857519695608[/C][/ROW]
[ROW][C]0.78[/C][C]6.60153995643543[/C][C]0.0473236410131386[/C][/ROW]
[ROW][C]0.79[/C][C]6.6103561744262[/C][C]0.0353063223164781[/C][/ROW]
[ROW][C]0.8[/C][C]6.61688249646964[/C][C]0.025442457970827[/C][/ROW]
[ROW][C]0.81[/C][C]6.62154530077438[/C][C]0.0176905016692664[/C][/ROW]
[ROW][C]0.82[/C][C]6.62475527072389[/C][C]0.0118454421476559[/C][/ROW]
[ROW][C]0.83[/C][C]6.62687948763229[/C][C]0.007617120561786[/C][/ROW]
[ROW][C]0.84[/C][C]6.62822670037151[/C][C]0.00468409558510293[/C][/ROW]
[ROW][C]0.85[/C][C]6.62904332857116[/C][C]0.00274348869464342[/C][/ROW]
[ROW][C]0.86[/C][C]6.62951797542872[/C][C]0.00152479967698160[/C][/ROW]
[ROW][C]0.87[/C][C]6.629794155507[/C][C]0.000810942029980048[/C][/ROW]
[ROW][C]0.88[/C][C]6.62999523917069[/C][C]0.000478621983691512[/C][/ROW]
[ROW][C]0.89[/C][C]6.63027343992491[/C][C]0.000634610790575955[/C][/ROW]
[ROW][C]0.9[/C][C]6.63090519925322[/C][C]0.00158206077093739[/C][/ROW]
[ROW][C]0.91[/C][C]6.63245887348638[/C][C]0.00399938283291654[/C][/ROW]
[ROW][C]0.92[/C][C]6.63602883680702[/C][C]0.00924037019550988[/C][/ROW]
[ROW][C]0.93[/C][C]6.64341889900123[/C][C]0.0190571623845601[/C][/ROW]
[ROW][C]0.94[/C][C]6.65696124316284[/C][C]0.0344360554674376[/C][/ROW]
[ROW][C]0.95[/C][C]6.67853441623001[/C][C]0.0532047738880724[/C][/ROW]
[ROW][C]0.96[/C][C]6.70769907252539[/C][C]0.0678353611436748[/C][/ROW]
[ROW][C]0.97[/C][C]6.74001299716457[/C][C]0.0674338826086687[/C][/ROW]
[ROW][C]0.98[/C][C]6.76777882207478[/C][C]0.0470455449574573[/C][/ROW]
[ROW][C]0.99[/C][C]6.78449800009822[/C][C]0.0177085893573156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9421&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9421&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
0.015.440585342742450.00213936450229349
0.025.442905766664720.00774788771416367
0.035.447941324051960.0151566046766438
0.045.4556785713030.0210240305137479
0.055.465131793542150.0235186395957047
0.065.475118637062060.0237298902531283
0.075.485021319063670.0245793228917069
0.085.494978383780670.0282281322316156
0.095.505542826709640.0342625551028292
0.15.517182717525060.0407177240307281
0.115.529958761190130.0456605809672905
0.125.543493907163650.0479228736122333
0.135.557161574520010.0473697217784208
0.145.570342370757470.0447409937946862
0.155.582619615054110.0412533532788784
0.165.593852587945710.0381030448118546
0.175.604136760568950.0360339731392149
0.185.613703326147750.0351913988619612
0.195.622818119558700.0352750454138679
0.25.631721044436460.0359345351876203
0.215.640617591316670.0370865375966666
0.225.649708671905030.0389787106845553
0.235.65923198840790.0421588369234635
0.245.669488516132450.0471929091436524
0.255.680837570726860.0543787271216221
0.265.693657715526390.0636067416447208
0.275.708283312194550.074322382727133
0.285.724934420148360.0856501611576
0.295.74365960588210.0965461159843558
0.35.764307403082540.105952727091907
0.315.786534344111850.112987696834845
0.325.809848082564110.117091533674634
0.335.833675700243260.118097807417521
0.345.857441927458120.116241226962944
0.355.88064083186020.112085653107085
0.365.90288747737570.106398258127285
0.375.923941951675450.0999862241222687
0.385.943705162904360.0935736511591388
0.395.962191993403490.0876514674397266
0.45.979491338632830.0824693108359334
0.415.995723652016890.0780175792399462
0.426.0110051184280.0741209440288905
0.436.025424364716140.0705129917580174
0.446.039033796693550.0669520431827968
0.456.051854217997990.0632761276196298
0.466.063888979616410.0594315848601605
0.476.075142767613150.0554873890787371
0.486.085640169221470.0516056650889003
0.496.095440076285280.0480375787402816
0.56.104643432324570.0450493266114854
0.516.113393461571640.0429137063986509
0.526.121869047728580.0418395077046337
0.536.130273142881150.0419317539481172
0.546.138818849311290.043203354168797
0.556.147716074608420.0455454203187645
0.566.157161424072830.0488124257475367
0.576.167333310902920.0528470455352978
0.586.178393189417140.057528203953646
0.596.190492410986970.0627909483450639
0.66.203782575280240.0686667889312799
0.616.218425631212010.0752638951007654
0.626.234598782572340.0827146510670678
0.636.252489033659440.0911311221508554
0.646.272273517596430.100473834914684
0.656.294084833426760.110478944277222
0.666.317965132291740.120566767968841
0.676.343817560687230.129908081406186
0.686.371367255106280.137481366426348
0.696.400144716776330.142245991307098
0.76.429501092132590.143346603517458
0.716.458657954237910.140279050500351
0.726.486785389247190.133019900335768
0.736.51309428834070.122032979240307
0.746.536924457109590.108205231549365
0.756.557811065892520.0926835260936001
0.766.57551780285830.0766839548156512
0.776.590033796408760.0612857519695608
0.786.601539956435430.0473236410131386
0.796.61035617442620.0353063223164781
0.86.616882496469640.025442457970827
0.816.621545300774380.0176905016692664
0.826.624755270723890.0118454421476559
0.836.626879487632290.007617120561786
0.846.628226700371510.00468409558510293
0.856.629043328571160.00274348869464342
0.866.629517975428720.00152479967698160
0.876.6297941555070.000810942029980048
0.886.629995239170690.000478621983691512
0.896.630273439924910.000634610790575955
0.96.630905199253220.00158206077093739
0.916.632458873486380.00399938283291654
0.926.636028836807020.00924037019550988
0.936.643418899001230.0190571623845601
0.946.656961243162840.0344360554674376
0.956.678534416230010.0532047738880724
0.966.707699072525390.0678353611436748
0.976.740012997164570.0674338826086687
0.986.767778822074780.0470455449574573
0.996.784498000098220.0177085893573156


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')