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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 computationThu, 21 Feb 2013 11:29:41 -0500
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/Feb/21/t1361464235iy8p48ze9zh6ve6.htm/, Retrieved Fri, 03 May 2024 00:53:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206799, Retrieved Fri, 03 May 2024 00:53:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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 werk...] [2013-02-21 16:29:41] [9bda411d6223d16f0472c7feaae49b5f] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206799&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206799&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206799&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.43613979989290.0940226944072784
0.025.489989804608310.0878046821411956
0.035.543126953974310.079905621644806
0.045.587870005449160.0717410611175664
0.055.623982056357630.0651054872754497
0.065.653608734720170.0606991039025856
0.075.679090167212410.0598020499843666
0.085.702477678939540.0637081125224973
0.095.725409699516690.0715483254048864
0.15.74894026238370.0804791285110612
0.115.773418245552110.0875628396341559
0.125.798561035679970.0910473874123309
0.135.823721513352260.0907444621209649
0.145.848223966822480.087800383635344
0.155.871624435303480.0840621356832931
0.165.893813102422840.081253077248599
0.175.914961303274860.0803012186914207
0.185.935375635961010.0810629323120524
0.195.955338767795130.0826317783843675
0.25.974998210889920.0838952072900444
0.215.994329547006010.0839673269764169
0.226.01316746010080.082416635327202
0.236.031277313383170.0792742104857866
0.246.048434474482490.0749397464618598
0.256.064484927827110.0700217481346597
0.266.079373209359630.0651506963391745
0.276.0931368210190.0608071208986565
0.286.105876154322130.057201374116474
0.296.117713791891960.0542750369775413
0.36.128756927909270.0517471269686948
0.316.139072874905280.049260511842364
0.326.148682097757970.0465081523669453
0.336.157567782794360.0433148597233242
0.346.165696967165480.0396741704151921
0.356.173046371112660.0357362213252056
0.366.179626247768810.0317835802449179
0.376.185497238645350.0281708594169749
0.386.190777615208220.0252972040238888
0.396.195640656165880.0235540339920283
0.46.200303741931320.0232619363357177
0.416.205011822001320.0245506474313056
0.426.210018259352310.0273497152510858
0.436.215565855510160.0314296849843971
0.446.221870319894150.0365131170571808
0.456.229107733169860.0422985155706689
0.466.237406769800170.0485145992696982
0.476.246845656158440.0548867021511823
0.486.257453118572450.0611863216609296
0.496.26921202127690.0672039038384453
0.56.282064127699580.072775122399069
0.516.295914536588690.0777470587529508
0.526.310634866215880.0819718691064483
0.536.32606508966620.08530201565522
0.546.342014855224990.0875730456748198
0.556.358265888989750.08863270618781
0.566.374577420486480.0883462396381121
0.576.390696343977410.086638333699896
0.586.406373028317120.0835393211551779
0.596.421382473115870.0791850718265914
0.66.435549145694150.0738679253467956
0.616.448772621487620.068009586701341
0.626.461050341275890.0621599680940976
0.636.472493539303930.0569880753624658
0.646.483332718827990.0532193798165449
0.656.493909901560570.0515765274058278
0.666.504656165998660.0526224420541848
0.676.516054636509590.0565748457867807
0.686.528591026680650.063206522221465
0.696.542695990646450.0719227576283646
0.76.558685713559040.0818744834883556
0.716.576709031964240.0920286664164203
0.726.596710393350050.101278853453404
0.736.618417522098230.10855194249005
0.746.641360230019910.112944429585927
0.756.664922220018410.113873001251558
0.766.688421407776990.111190349657244
0.776.711207379872130.105234485227243
0.786.732758893990220.0968088252387972
0.796.75276183544060.0870661372412463
0.86.771150428694680.0773267943366967
0.816.788102294798220.0688587920274234
0.826.803989900307090.0626308094844773
0.836.819303804435880.0590479256619002
0.846.834572154754020.0579020491397833
0.856.850301475739010.0585882186148621
0.866.866953784908270.0605039144151859
0.876.884957114578270.063349511043751
0.886.904728828452850.0670984704475627
0.896.926685104148790.0717716957747234
0.96.951224226615760.077107731172269
0.916.978703642830180.0824932029840563
0.927.009461632788990.0872284903413494
0.937.043929996482750.0910531920927544
0.947.082816843737730.0945615336796655
0.957.127224456150530.0988379161055265
0.967.178465755781570.10379648696009
0.977.237220702249570.106666298427191
0.987.301324833896450.104209481373996
0.997.361628202876350.099318780286497

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.4361397998929 & 0.0940226944072784 \tabularnewline
0.02 & 5.48998980460831 & 0.0878046821411956 \tabularnewline
0.03 & 5.54312695397431 & 0.079905621644806 \tabularnewline
0.04 & 5.58787000544916 & 0.0717410611175664 \tabularnewline
0.05 & 5.62398205635763 & 0.0651054872754497 \tabularnewline
0.06 & 5.65360873472017 & 0.0606991039025856 \tabularnewline
0.07 & 5.67909016721241 & 0.0598020499843666 \tabularnewline
0.08 & 5.70247767893954 & 0.0637081125224973 \tabularnewline
0.09 & 5.72540969951669 & 0.0715483254048864 \tabularnewline
0.1 & 5.7489402623837 & 0.0804791285110612 \tabularnewline
0.11 & 5.77341824555211 & 0.0875628396341559 \tabularnewline
0.12 & 5.79856103567997 & 0.0910473874123309 \tabularnewline
0.13 & 5.82372151335226 & 0.0907444621209649 \tabularnewline
0.14 & 5.84822396682248 & 0.087800383635344 \tabularnewline
0.15 & 5.87162443530348 & 0.0840621356832931 \tabularnewline
0.16 & 5.89381310242284 & 0.081253077248599 \tabularnewline
0.17 & 5.91496130327486 & 0.0803012186914207 \tabularnewline
0.18 & 5.93537563596101 & 0.0810629323120524 \tabularnewline
0.19 & 5.95533876779513 & 0.0826317783843675 \tabularnewline
0.2 & 5.97499821088992 & 0.0838952072900444 \tabularnewline
0.21 & 5.99432954700601 & 0.0839673269764169 \tabularnewline
0.22 & 6.0131674601008 & 0.082416635327202 \tabularnewline
0.23 & 6.03127731338317 & 0.0792742104857866 \tabularnewline
0.24 & 6.04843447448249 & 0.0749397464618598 \tabularnewline
0.25 & 6.06448492782711 & 0.0700217481346597 \tabularnewline
0.26 & 6.07937320935963 & 0.0651506963391745 \tabularnewline
0.27 & 6.093136821019 & 0.0608071208986565 \tabularnewline
0.28 & 6.10587615432213 & 0.057201374116474 \tabularnewline
0.29 & 6.11771379189196 & 0.0542750369775413 \tabularnewline
0.3 & 6.12875692790927 & 0.0517471269686948 \tabularnewline
0.31 & 6.13907287490528 & 0.049260511842364 \tabularnewline
0.32 & 6.14868209775797 & 0.0465081523669453 \tabularnewline
0.33 & 6.15756778279436 & 0.0433148597233242 \tabularnewline
0.34 & 6.16569696716548 & 0.0396741704151921 \tabularnewline
0.35 & 6.17304637111266 & 0.0357362213252056 \tabularnewline
0.36 & 6.17962624776881 & 0.0317835802449179 \tabularnewline
0.37 & 6.18549723864535 & 0.0281708594169749 \tabularnewline
0.38 & 6.19077761520822 & 0.0252972040238888 \tabularnewline
0.39 & 6.19564065616588 & 0.0235540339920283 \tabularnewline
0.4 & 6.20030374193132 & 0.0232619363357177 \tabularnewline
0.41 & 6.20501182200132 & 0.0245506474313056 \tabularnewline
0.42 & 6.21001825935231 & 0.0273497152510858 \tabularnewline
0.43 & 6.21556585551016 & 0.0314296849843971 \tabularnewline
0.44 & 6.22187031989415 & 0.0365131170571808 \tabularnewline
0.45 & 6.22910773316986 & 0.0422985155706689 \tabularnewline
0.46 & 6.23740676980017 & 0.0485145992696982 \tabularnewline
0.47 & 6.24684565615844 & 0.0548867021511823 \tabularnewline
0.48 & 6.25745311857245 & 0.0611863216609296 \tabularnewline
0.49 & 6.2692120212769 & 0.0672039038384453 \tabularnewline
0.5 & 6.28206412769958 & 0.072775122399069 \tabularnewline
0.51 & 6.29591453658869 & 0.0777470587529508 \tabularnewline
0.52 & 6.31063486621588 & 0.0819718691064483 \tabularnewline
0.53 & 6.3260650896662 & 0.08530201565522 \tabularnewline
0.54 & 6.34201485522499 & 0.0875730456748198 \tabularnewline
0.55 & 6.35826588898975 & 0.08863270618781 \tabularnewline
0.56 & 6.37457742048648 & 0.0883462396381121 \tabularnewline
0.57 & 6.39069634397741 & 0.086638333699896 \tabularnewline
0.58 & 6.40637302831712 & 0.0835393211551779 \tabularnewline
0.59 & 6.42138247311587 & 0.0791850718265914 \tabularnewline
0.6 & 6.43554914569415 & 0.0738679253467956 \tabularnewline
0.61 & 6.44877262148762 & 0.068009586701341 \tabularnewline
0.62 & 6.46105034127589 & 0.0621599680940976 \tabularnewline
0.63 & 6.47249353930393 & 0.0569880753624658 \tabularnewline
0.64 & 6.48333271882799 & 0.0532193798165449 \tabularnewline
0.65 & 6.49390990156057 & 0.0515765274058278 \tabularnewline
0.66 & 6.50465616599866 & 0.0526224420541848 \tabularnewline
0.67 & 6.51605463650959 & 0.0565748457867807 \tabularnewline
0.68 & 6.52859102668065 & 0.063206522221465 \tabularnewline
0.69 & 6.54269599064645 & 0.0719227576283646 \tabularnewline
0.7 & 6.55868571355904 & 0.0818744834883556 \tabularnewline
0.71 & 6.57670903196424 & 0.0920286664164203 \tabularnewline
0.72 & 6.59671039335005 & 0.101278853453404 \tabularnewline
0.73 & 6.61841752209823 & 0.10855194249005 \tabularnewline
0.74 & 6.64136023001991 & 0.112944429585927 \tabularnewline
0.75 & 6.66492222001841 & 0.113873001251558 \tabularnewline
0.76 & 6.68842140777699 & 0.111190349657244 \tabularnewline
0.77 & 6.71120737987213 & 0.105234485227243 \tabularnewline
0.78 & 6.73275889399022 & 0.0968088252387972 \tabularnewline
0.79 & 6.7527618354406 & 0.0870661372412463 \tabularnewline
0.8 & 6.77115042869468 & 0.0773267943366967 \tabularnewline
0.81 & 6.78810229479822 & 0.0688587920274234 \tabularnewline
0.82 & 6.80398990030709 & 0.0626308094844773 \tabularnewline
0.83 & 6.81930380443588 & 0.0590479256619002 \tabularnewline
0.84 & 6.83457215475402 & 0.0579020491397833 \tabularnewline
0.85 & 6.85030147573901 & 0.0585882186148621 \tabularnewline
0.86 & 6.86695378490827 & 0.0605039144151859 \tabularnewline
0.87 & 6.88495711457827 & 0.063349511043751 \tabularnewline
0.88 & 6.90472882845285 & 0.0670984704475627 \tabularnewline
0.89 & 6.92668510414879 & 0.0717716957747234 \tabularnewline
0.9 & 6.95122422661576 & 0.077107731172269 \tabularnewline
0.91 & 6.97870364283018 & 0.0824932029840563 \tabularnewline
0.92 & 7.00946163278899 & 0.0872284903413494 \tabularnewline
0.93 & 7.04392999648275 & 0.0910531920927544 \tabularnewline
0.94 & 7.08281684373773 & 0.0945615336796655 \tabularnewline
0.95 & 7.12722445615053 & 0.0988379161055265 \tabularnewline
0.96 & 7.17846575578157 & 0.10379648696009 \tabularnewline
0.97 & 7.23722070224957 & 0.106666298427191 \tabularnewline
0.98 & 7.30132483389645 & 0.104209481373996 \tabularnewline
0.99 & 7.36162820287635 & 0.099318780286497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206799&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]5.4361397998929[/C][C]0.0940226944072784[/C][/ROW]
[ROW][C]0.02[/C][C]5.48998980460831[/C][C]0.0878046821411956[/C][/ROW]
[ROW][C]0.03[/C][C]5.54312695397431[/C][C]0.079905621644806[/C][/ROW]
[ROW][C]0.04[/C][C]5.58787000544916[/C][C]0.0717410611175664[/C][/ROW]
[ROW][C]0.05[/C][C]5.62398205635763[/C][C]0.0651054872754497[/C][/ROW]
[ROW][C]0.06[/C][C]5.65360873472017[/C][C]0.0606991039025856[/C][/ROW]
[ROW][C]0.07[/C][C]5.67909016721241[/C][C]0.0598020499843666[/C][/ROW]
[ROW][C]0.08[/C][C]5.70247767893954[/C][C]0.0637081125224973[/C][/ROW]
[ROW][C]0.09[/C][C]5.72540969951669[/C][C]0.0715483254048864[/C][/ROW]
[ROW][C]0.1[/C][C]5.7489402623837[/C][C]0.0804791285110612[/C][/ROW]
[ROW][C]0.11[/C][C]5.77341824555211[/C][C]0.0875628396341559[/C][/ROW]
[ROW][C]0.12[/C][C]5.79856103567997[/C][C]0.0910473874123309[/C][/ROW]
[ROW][C]0.13[/C][C]5.82372151335226[/C][C]0.0907444621209649[/C][/ROW]
[ROW][C]0.14[/C][C]5.84822396682248[/C][C]0.087800383635344[/C][/ROW]
[ROW][C]0.15[/C][C]5.87162443530348[/C][C]0.0840621356832931[/C][/ROW]
[ROW][C]0.16[/C][C]5.89381310242284[/C][C]0.081253077248599[/C][/ROW]
[ROW][C]0.17[/C][C]5.91496130327486[/C][C]0.0803012186914207[/C][/ROW]
[ROW][C]0.18[/C][C]5.93537563596101[/C][C]0.0810629323120524[/C][/ROW]
[ROW][C]0.19[/C][C]5.95533876779513[/C][C]0.0826317783843675[/C][/ROW]
[ROW][C]0.2[/C][C]5.97499821088992[/C][C]0.0838952072900444[/C][/ROW]
[ROW][C]0.21[/C][C]5.99432954700601[/C][C]0.0839673269764169[/C][/ROW]
[ROW][C]0.22[/C][C]6.0131674601008[/C][C]0.082416635327202[/C][/ROW]
[ROW][C]0.23[/C][C]6.03127731338317[/C][C]0.0792742104857866[/C][/ROW]
[ROW][C]0.24[/C][C]6.04843447448249[/C][C]0.0749397464618598[/C][/ROW]
[ROW][C]0.25[/C][C]6.06448492782711[/C][C]0.0700217481346597[/C][/ROW]
[ROW][C]0.26[/C][C]6.07937320935963[/C][C]0.0651506963391745[/C][/ROW]
[ROW][C]0.27[/C][C]6.093136821019[/C][C]0.0608071208986565[/C][/ROW]
[ROW][C]0.28[/C][C]6.10587615432213[/C][C]0.057201374116474[/C][/ROW]
[ROW][C]0.29[/C][C]6.11771379189196[/C][C]0.0542750369775413[/C][/ROW]
[ROW][C]0.3[/C][C]6.12875692790927[/C][C]0.0517471269686948[/C][/ROW]
[ROW][C]0.31[/C][C]6.13907287490528[/C][C]0.049260511842364[/C][/ROW]
[ROW][C]0.32[/C][C]6.14868209775797[/C][C]0.0465081523669453[/C][/ROW]
[ROW][C]0.33[/C][C]6.15756778279436[/C][C]0.0433148597233242[/C][/ROW]
[ROW][C]0.34[/C][C]6.16569696716548[/C][C]0.0396741704151921[/C][/ROW]
[ROW][C]0.35[/C][C]6.17304637111266[/C][C]0.0357362213252056[/C][/ROW]
[ROW][C]0.36[/C][C]6.17962624776881[/C][C]0.0317835802449179[/C][/ROW]
[ROW][C]0.37[/C][C]6.18549723864535[/C][C]0.0281708594169749[/C][/ROW]
[ROW][C]0.38[/C][C]6.19077761520822[/C][C]0.0252972040238888[/C][/ROW]
[ROW][C]0.39[/C][C]6.19564065616588[/C][C]0.0235540339920283[/C][/ROW]
[ROW][C]0.4[/C][C]6.20030374193132[/C][C]0.0232619363357177[/C][/ROW]
[ROW][C]0.41[/C][C]6.20501182200132[/C][C]0.0245506474313056[/C][/ROW]
[ROW][C]0.42[/C][C]6.21001825935231[/C][C]0.0273497152510858[/C][/ROW]
[ROW][C]0.43[/C][C]6.21556585551016[/C][C]0.0314296849843971[/C][/ROW]
[ROW][C]0.44[/C][C]6.22187031989415[/C][C]0.0365131170571808[/C][/ROW]
[ROW][C]0.45[/C][C]6.22910773316986[/C][C]0.0422985155706689[/C][/ROW]
[ROW][C]0.46[/C][C]6.23740676980017[/C][C]0.0485145992696982[/C][/ROW]
[ROW][C]0.47[/C][C]6.24684565615844[/C][C]0.0548867021511823[/C][/ROW]
[ROW][C]0.48[/C][C]6.25745311857245[/C][C]0.0611863216609296[/C][/ROW]
[ROW][C]0.49[/C][C]6.2692120212769[/C][C]0.0672039038384453[/C][/ROW]
[ROW][C]0.5[/C][C]6.28206412769958[/C][C]0.072775122399069[/C][/ROW]
[ROW][C]0.51[/C][C]6.29591453658869[/C][C]0.0777470587529508[/C][/ROW]
[ROW][C]0.52[/C][C]6.31063486621588[/C][C]0.0819718691064483[/C][/ROW]
[ROW][C]0.53[/C][C]6.3260650896662[/C][C]0.08530201565522[/C][/ROW]
[ROW][C]0.54[/C][C]6.34201485522499[/C][C]0.0875730456748198[/C][/ROW]
[ROW][C]0.55[/C][C]6.35826588898975[/C][C]0.08863270618781[/C][/ROW]
[ROW][C]0.56[/C][C]6.37457742048648[/C][C]0.0883462396381121[/C][/ROW]
[ROW][C]0.57[/C][C]6.39069634397741[/C][C]0.086638333699896[/C][/ROW]
[ROW][C]0.58[/C][C]6.40637302831712[/C][C]0.0835393211551779[/C][/ROW]
[ROW][C]0.59[/C][C]6.42138247311587[/C][C]0.0791850718265914[/C][/ROW]
[ROW][C]0.6[/C][C]6.43554914569415[/C][C]0.0738679253467956[/C][/ROW]
[ROW][C]0.61[/C][C]6.44877262148762[/C][C]0.068009586701341[/C][/ROW]
[ROW][C]0.62[/C][C]6.46105034127589[/C][C]0.0621599680940976[/C][/ROW]
[ROW][C]0.63[/C][C]6.47249353930393[/C][C]0.0569880753624658[/C][/ROW]
[ROW][C]0.64[/C][C]6.48333271882799[/C][C]0.0532193798165449[/C][/ROW]
[ROW][C]0.65[/C][C]6.49390990156057[/C][C]0.0515765274058278[/C][/ROW]
[ROW][C]0.66[/C][C]6.50465616599866[/C][C]0.0526224420541848[/C][/ROW]
[ROW][C]0.67[/C][C]6.51605463650959[/C][C]0.0565748457867807[/C][/ROW]
[ROW][C]0.68[/C][C]6.52859102668065[/C][C]0.063206522221465[/C][/ROW]
[ROW][C]0.69[/C][C]6.54269599064645[/C][C]0.0719227576283646[/C][/ROW]
[ROW][C]0.7[/C][C]6.55868571355904[/C][C]0.0818744834883556[/C][/ROW]
[ROW][C]0.71[/C][C]6.57670903196424[/C][C]0.0920286664164203[/C][/ROW]
[ROW][C]0.72[/C][C]6.59671039335005[/C][C]0.101278853453404[/C][/ROW]
[ROW][C]0.73[/C][C]6.61841752209823[/C][C]0.10855194249005[/C][/ROW]
[ROW][C]0.74[/C][C]6.64136023001991[/C][C]0.112944429585927[/C][/ROW]
[ROW][C]0.75[/C][C]6.66492222001841[/C][C]0.113873001251558[/C][/ROW]
[ROW][C]0.76[/C][C]6.68842140777699[/C][C]0.111190349657244[/C][/ROW]
[ROW][C]0.77[/C][C]6.71120737987213[/C][C]0.105234485227243[/C][/ROW]
[ROW][C]0.78[/C][C]6.73275889399022[/C][C]0.0968088252387972[/C][/ROW]
[ROW][C]0.79[/C][C]6.7527618354406[/C][C]0.0870661372412463[/C][/ROW]
[ROW][C]0.8[/C][C]6.77115042869468[/C][C]0.0773267943366967[/C][/ROW]
[ROW][C]0.81[/C][C]6.78810229479822[/C][C]0.0688587920274234[/C][/ROW]
[ROW][C]0.82[/C][C]6.80398990030709[/C][C]0.0626308094844773[/C][/ROW]
[ROW][C]0.83[/C][C]6.81930380443588[/C][C]0.0590479256619002[/C][/ROW]
[ROW][C]0.84[/C][C]6.83457215475402[/C][C]0.0579020491397833[/C][/ROW]
[ROW][C]0.85[/C][C]6.85030147573901[/C][C]0.0585882186148621[/C][/ROW]
[ROW][C]0.86[/C][C]6.86695378490827[/C][C]0.0605039144151859[/C][/ROW]
[ROW][C]0.87[/C][C]6.88495711457827[/C][C]0.063349511043751[/C][/ROW]
[ROW][C]0.88[/C][C]6.90472882845285[/C][C]0.0670984704475627[/C][/ROW]
[ROW][C]0.89[/C][C]6.92668510414879[/C][C]0.0717716957747234[/C][/ROW]
[ROW][C]0.9[/C][C]6.95122422661576[/C][C]0.077107731172269[/C][/ROW]
[ROW][C]0.91[/C][C]6.97870364283018[/C][C]0.0824932029840563[/C][/ROW]
[ROW][C]0.92[/C][C]7.00946163278899[/C][C]0.0872284903413494[/C][/ROW]
[ROW][C]0.93[/C][C]7.04392999648275[/C][C]0.0910531920927544[/C][/ROW]
[ROW][C]0.94[/C][C]7.08281684373773[/C][C]0.0945615336796655[/C][/ROW]
[ROW][C]0.95[/C][C]7.12722445615053[/C][C]0.0988379161055265[/C][/ROW]
[ROW][C]0.96[/C][C]7.17846575578157[/C][C]0.10379648696009[/C][/ROW]
[ROW][C]0.97[/C][C]7.23722070224957[/C][C]0.106666298427191[/C][/ROW]
[ROW][C]0.98[/C][C]7.30132483389645[/C][C]0.104209481373996[/C][/ROW]
[ROW][C]0.99[/C][C]7.36162820287635[/C][C]0.099318780286497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206799&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206799&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
0.015.43613979989290.0940226944072784
0.025.489989804608310.0878046821411956
0.035.543126953974310.079905621644806
0.045.587870005449160.0717410611175664
0.055.623982056357630.0651054872754497
0.065.653608734720170.0606991039025856
0.075.679090167212410.0598020499843666
0.085.702477678939540.0637081125224973
0.095.725409699516690.0715483254048864
0.15.74894026238370.0804791285110612
0.115.773418245552110.0875628396341559
0.125.798561035679970.0910473874123309
0.135.823721513352260.0907444621209649
0.145.848223966822480.087800383635344
0.155.871624435303480.0840621356832931
0.165.893813102422840.081253077248599
0.175.914961303274860.0803012186914207
0.185.935375635961010.0810629323120524
0.195.955338767795130.0826317783843675
0.25.974998210889920.0838952072900444
0.215.994329547006010.0839673269764169
0.226.01316746010080.082416635327202
0.236.031277313383170.0792742104857866
0.246.048434474482490.0749397464618598
0.256.064484927827110.0700217481346597
0.266.079373209359630.0651506963391745
0.276.0931368210190.0608071208986565
0.286.105876154322130.057201374116474
0.296.117713791891960.0542750369775413
0.36.128756927909270.0517471269686948
0.316.139072874905280.049260511842364
0.326.148682097757970.0465081523669453
0.336.157567782794360.0433148597233242
0.346.165696967165480.0396741704151921
0.356.173046371112660.0357362213252056
0.366.179626247768810.0317835802449179
0.376.185497238645350.0281708594169749
0.386.190777615208220.0252972040238888
0.396.195640656165880.0235540339920283
0.46.200303741931320.0232619363357177
0.416.205011822001320.0245506474313056
0.426.210018259352310.0273497152510858
0.436.215565855510160.0314296849843971
0.446.221870319894150.0365131170571808
0.456.229107733169860.0422985155706689
0.466.237406769800170.0485145992696982
0.476.246845656158440.0548867021511823
0.486.257453118572450.0611863216609296
0.496.26921202127690.0672039038384453
0.56.282064127699580.072775122399069
0.516.295914536588690.0777470587529508
0.526.310634866215880.0819718691064483
0.536.32606508966620.08530201565522
0.546.342014855224990.0875730456748198
0.556.358265888989750.08863270618781
0.566.374577420486480.0883462396381121
0.576.390696343977410.086638333699896
0.586.406373028317120.0835393211551779
0.596.421382473115870.0791850718265914
0.66.435549145694150.0738679253467956
0.616.448772621487620.068009586701341
0.626.461050341275890.0621599680940976
0.636.472493539303930.0569880753624658
0.646.483332718827990.0532193798165449
0.656.493909901560570.0515765274058278
0.666.504656165998660.0526224420541848
0.676.516054636509590.0565748457867807
0.686.528591026680650.063206522221465
0.696.542695990646450.0719227576283646
0.76.558685713559040.0818744834883556
0.716.576709031964240.0920286664164203
0.726.596710393350050.101278853453404
0.736.618417522098230.10855194249005
0.746.641360230019910.112944429585927
0.756.664922220018410.113873001251558
0.766.688421407776990.111190349657244
0.776.711207379872130.105234485227243
0.786.732758893990220.0968088252387972
0.796.75276183544060.0870661372412463
0.86.771150428694680.0773267943366967
0.816.788102294798220.0688587920274234
0.826.803989900307090.0626308094844773
0.836.819303804435880.0590479256619002
0.846.834572154754020.0579020491397833
0.856.850301475739010.0585882186148621
0.866.866953784908270.0605039144151859
0.876.884957114578270.063349511043751
0.886.904728828452850.0670984704475627
0.896.926685104148790.0717716957747234
0.96.951224226615760.077107731172269
0.916.978703642830180.0824932029840563
0.927.009461632788990.0872284903413494
0.937.043929996482750.0910531920927544
0.947.082816843737730.0945615336796655
0.957.127224456150530.0988379161055265
0.967.178465755781570.10379648696009
0.977.237220702249570.106666298427191
0.987.301324833896450.104209481373996
0.997.361628202876350.099318780286497


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')