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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 01:44:53 -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/t1204361153t1d0f1g6bs5kc31.htm/, Retrieved Sat, 18 May 2024 07:29:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9312, Retrieved Sat, 18 May 2024 07:29:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact267

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] [H-D Percentielen ...] [2008-03-01 08:44:53] [f4f7490cd61f26de3cba7cf1cf8e38c9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,43
1,43
1,43
1,43
1,43
1,43
1,44
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,48
1,57
1,58
1,58
1,58
1,58
1,59
1,6
1,6
1,61
1,61
1,61
1,62
1,63
1,63
1,64
1,64
1,64
1,64
1,64
1,65
1,65
1,65
1,65
1,65
1,66
1,66
1,67
1,68
1,68
1,68
1,68
1,69
1,7
1,7
1,71
1,72
1,73
1,74
1,74
1,75
1,75
1,75
1,76
1,79
1,83

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9312&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]7 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=9312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9312&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 time7 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430028617609950.000129507936602716
0.021.430204630226420.00076868608322127
0.031.430801354221550.00247876484407015
0.041.432232073778860.00563080292805797
0.051.434914671132170.00998886777445588
0.061.439068456952140.0146299366872947
0.071.444564539347130.0183142553716083
0.081.450925614837190.0200652178377890
0.091.457475588266910.0195718553536409
0.11.463553507089450.0172178104556286
0.111.468687256821030.0137992471083825
0.121.472666247163930.0101565971558889
0.131.475514826867730.00691114226745604
0.141.477408828323280.00437190455702746
0.151.478583826015240.0025824133549627
0.161.479266659349640.00143040085112313
0.171.479639648585080.000745208210524587
0.181.479831727412440.000366643656390611
0.191.479925233036920.000170448691324883
0.21.479968386365647.50858958293805e-05
0.211.479987369655133.17522876449909e-05
0.221.479995507963741.33788326450642e-05
0.231.479999306984218.29258005196975e-06
0.241.480002071704821.24558139084974e-05
0.251.480006016986282.63456266993645e-05
0.261.4800136337415.60336972812333e-05
0.271.480028860529480.00011141109059129
0.281.480058433922910.000213419321238753
0.291.48011365881950.000392326609931524
0.31.480212718591710.000693476113464526
0.311.480383495800510.00117680821685894
0.321.480666673693510.00192209066231368
0.331.481118641523090.00302122369263859
0.341.481813473594760.00457158013357658
0.351.482843068608230.00667055066064974
0.361.484314518494320.00938449343325754
0.371.486344011618420.0127416567190032
0.381.489047102343910.0167010779324673
0.391.492525951210280.0211533239163567
0.41.496855010951270.0259014967046031
0.411.502067376550320.0306839593140978
0.421.508144383573130.0351912208013735
0.431.515010839603960.0391108624353432
0.441.522537459446630.042164877166701
0.451.530550777633500.0441503393216652
0.461.538849326186880.0449666747437037
0.471.547223568856220.0446334801536455
0.481.555476319049410.0432794907937467
0.491.563440336822420.0411208540848274
0.51.570990492407260.0384229923509489
0.511.578049092319650.0354619552627648
0.521.584584356988380.0324869055144326
0.531.590603269591510.0296907144783046
0.541.596140826329800.0271949498296685
0.551.601247999017830.0250505994896611
0.561.605980512784150.0232409149974788
0.571.610389991981180.0217098717026056
0.581.614518323199880.0203767444600398
0.591.618395393854110.0191611783292204
0.61.622039804171170.0180010513376958
0.611.625461777545550.0168510877566557
0.621.628667320753680.0157001153362884
0.631.631662692559850.0145632331339442
0.641.634458387805430.0134724571653939
0.651.637072080273500.0124745931818825
0.661.639530228239520.0116204595276674
0.671.641868271226640.0109610118217706
0.681.644129496071090.0105353414714783
0.691.646362724551740.0103669153306337
0.71.648619015297930.0104617213917293
0.711.650947644686130.010794339963155
0.721.653391785065610.0113208594983385
0.731.655984526299020.0119713031568248
0.741.658746100852400.0126660232296462
0.751.661683225889740.0133247655502272
0.761.664791225205890.0138872974886734
0.771.668058989558820.0143244639308423
0.781.671475985848180.0146492243523613
0.791.675039700223930.0149157712250056
0.81.678761427424820.0152037662506816
0.811.682668437504010.0155956079904704
0.821.686801276522210.0161474278515219
0.831.691206059807840.0168628645570029
0.841.695922747364480.0176887301601050
0.851.700971289167050.0185191628290458
0.861.706338143968500.0192059763810386
0.871.711966108475910.019583228296167
0.881.717750713827480.0194893397094452
0.891.723546658924800.0188069673376494
0.91.729188079329760.0175043887082605
0.911.734527571570630.0156669365464404
0.921.739501137738730.0135377654702787
0.931.74422716022330.0115688884922183
0.941.749139867897440.0105521283630229
0.951.755131917655930.0116447005101254
0.961.763626065684770.0155786600412647
0.971.776361475883520.0217663740204878
0.981.794329288059990.0286649836426323
0.991.815060322193180.0350155641705415

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43002861760995 & 0.000129507936602716 \tabularnewline
0.02 & 1.43020463022642 & 0.00076868608322127 \tabularnewline
0.03 & 1.43080135422155 & 0.00247876484407015 \tabularnewline
0.04 & 1.43223207377886 & 0.00563080292805797 \tabularnewline
0.05 & 1.43491467113217 & 0.00998886777445588 \tabularnewline
0.06 & 1.43906845695214 & 0.0146299366872947 \tabularnewline
0.07 & 1.44456453934713 & 0.0183142553716083 \tabularnewline
0.08 & 1.45092561483719 & 0.0200652178377890 \tabularnewline
0.09 & 1.45747558826691 & 0.0195718553536409 \tabularnewline
0.1 & 1.46355350708945 & 0.0172178104556286 \tabularnewline
0.11 & 1.46868725682103 & 0.0137992471083825 \tabularnewline
0.12 & 1.47266624716393 & 0.0101565971558889 \tabularnewline
0.13 & 1.47551482686773 & 0.00691114226745604 \tabularnewline
0.14 & 1.47740882832328 & 0.00437190455702746 \tabularnewline
0.15 & 1.47858382601524 & 0.0025824133549627 \tabularnewline
0.16 & 1.47926665934964 & 0.00143040085112313 \tabularnewline
0.17 & 1.47963964858508 & 0.000745208210524587 \tabularnewline
0.18 & 1.47983172741244 & 0.000366643656390611 \tabularnewline
0.19 & 1.47992523303692 & 0.000170448691324883 \tabularnewline
0.2 & 1.47996838636564 & 7.50858958293805e-05 \tabularnewline
0.21 & 1.47998736965513 & 3.17522876449909e-05 \tabularnewline
0.22 & 1.47999550796374 & 1.33788326450642e-05 \tabularnewline
0.23 & 1.47999930698421 & 8.29258005196975e-06 \tabularnewline
0.24 & 1.48000207170482 & 1.24558139084974e-05 \tabularnewline
0.25 & 1.48000601698628 & 2.63456266993645e-05 \tabularnewline
0.26 & 1.480013633741 & 5.60336972812333e-05 \tabularnewline
0.27 & 1.48002886052948 & 0.00011141109059129 \tabularnewline
0.28 & 1.48005843392291 & 0.000213419321238753 \tabularnewline
0.29 & 1.4801136588195 & 0.000392326609931524 \tabularnewline
0.3 & 1.48021271859171 & 0.000693476113464526 \tabularnewline
0.31 & 1.48038349580051 & 0.00117680821685894 \tabularnewline
0.32 & 1.48066667369351 & 0.00192209066231368 \tabularnewline
0.33 & 1.48111864152309 & 0.00302122369263859 \tabularnewline
0.34 & 1.48181347359476 & 0.00457158013357658 \tabularnewline
0.35 & 1.48284306860823 & 0.00667055066064974 \tabularnewline
0.36 & 1.48431451849432 & 0.00938449343325754 \tabularnewline
0.37 & 1.48634401161842 & 0.0127416567190032 \tabularnewline
0.38 & 1.48904710234391 & 0.0167010779324673 \tabularnewline
0.39 & 1.49252595121028 & 0.0211533239163567 \tabularnewline
0.4 & 1.49685501095127 & 0.0259014967046031 \tabularnewline
0.41 & 1.50206737655032 & 0.0306839593140978 \tabularnewline
0.42 & 1.50814438357313 & 0.0351912208013735 \tabularnewline
0.43 & 1.51501083960396 & 0.0391108624353432 \tabularnewline
0.44 & 1.52253745944663 & 0.042164877166701 \tabularnewline
0.45 & 1.53055077763350 & 0.0441503393216652 \tabularnewline
0.46 & 1.53884932618688 & 0.0449666747437037 \tabularnewline
0.47 & 1.54722356885622 & 0.0446334801536455 \tabularnewline
0.48 & 1.55547631904941 & 0.0432794907937467 \tabularnewline
0.49 & 1.56344033682242 & 0.0411208540848274 \tabularnewline
0.5 & 1.57099049240726 & 0.0384229923509489 \tabularnewline
0.51 & 1.57804909231965 & 0.0354619552627648 \tabularnewline
0.52 & 1.58458435698838 & 0.0324869055144326 \tabularnewline
0.53 & 1.59060326959151 & 0.0296907144783046 \tabularnewline
0.54 & 1.59614082632980 & 0.0271949498296685 \tabularnewline
0.55 & 1.60124799901783 & 0.0250505994896611 \tabularnewline
0.56 & 1.60598051278415 & 0.0232409149974788 \tabularnewline
0.57 & 1.61038999198118 & 0.0217098717026056 \tabularnewline
0.58 & 1.61451832319988 & 0.0203767444600398 \tabularnewline
0.59 & 1.61839539385411 & 0.0191611783292204 \tabularnewline
0.6 & 1.62203980417117 & 0.0180010513376958 \tabularnewline
0.61 & 1.62546177754555 & 0.0168510877566557 \tabularnewline
0.62 & 1.62866732075368 & 0.0157001153362884 \tabularnewline
0.63 & 1.63166269255985 & 0.0145632331339442 \tabularnewline
0.64 & 1.63445838780543 & 0.0134724571653939 \tabularnewline
0.65 & 1.63707208027350 & 0.0124745931818825 \tabularnewline
0.66 & 1.63953022823952 & 0.0116204595276674 \tabularnewline
0.67 & 1.64186827122664 & 0.0109610118217706 \tabularnewline
0.68 & 1.64412949607109 & 0.0105353414714783 \tabularnewline
0.69 & 1.64636272455174 & 0.0103669153306337 \tabularnewline
0.7 & 1.64861901529793 & 0.0104617213917293 \tabularnewline
0.71 & 1.65094764468613 & 0.010794339963155 \tabularnewline
0.72 & 1.65339178506561 & 0.0113208594983385 \tabularnewline
0.73 & 1.65598452629902 & 0.0119713031568248 \tabularnewline
0.74 & 1.65874610085240 & 0.0126660232296462 \tabularnewline
0.75 & 1.66168322588974 & 0.0133247655502272 \tabularnewline
0.76 & 1.66479122520589 & 0.0138872974886734 \tabularnewline
0.77 & 1.66805898955882 & 0.0143244639308423 \tabularnewline
0.78 & 1.67147598584818 & 0.0146492243523613 \tabularnewline
0.79 & 1.67503970022393 & 0.0149157712250056 \tabularnewline
0.8 & 1.67876142742482 & 0.0152037662506816 \tabularnewline
0.81 & 1.68266843750401 & 0.0155956079904704 \tabularnewline
0.82 & 1.68680127652221 & 0.0161474278515219 \tabularnewline
0.83 & 1.69120605980784 & 0.0168628645570029 \tabularnewline
0.84 & 1.69592274736448 & 0.0176887301601050 \tabularnewline
0.85 & 1.70097128916705 & 0.0185191628290458 \tabularnewline
0.86 & 1.70633814396850 & 0.0192059763810386 \tabularnewline
0.87 & 1.71196610847591 & 0.019583228296167 \tabularnewline
0.88 & 1.71775071382748 & 0.0194893397094452 \tabularnewline
0.89 & 1.72354665892480 & 0.0188069673376494 \tabularnewline
0.9 & 1.72918807932976 & 0.0175043887082605 \tabularnewline
0.91 & 1.73452757157063 & 0.0156669365464404 \tabularnewline
0.92 & 1.73950113773873 & 0.0135377654702787 \tabularnewline
0.93 & 1.7442271602233 & 0.0115688884922183 \tabularnewline
0.94 & 1.74913986789744 & 0.0105521283630229 \tabularnewline
0.95 & 1.75513191765593 & 0.0116447005101254 \tabularnewline
0.96 & 1.76362606568477 & 0.0155786600412647 \tabularnewline
0.97 & 1.77636147588352 & 0.0217663740204878 \tabularnewline
0.98 & 1.79432928805999 & 0.0286649836426323 \tabularnewline
0.99 & 1.81506032219318 & 0.0350155641705415 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9312&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1.43002861760995[/C][C]0.000129507936602716[/C][/ROW]
[ROW][C]0.02[/C][C]1.43020463022642[/C][C]0.00076868608322127[/C][/ROW]
[ROW][C]0.03[/C][C]1.43080135422155[/C][C]0.00247876484407015[/C][/ROW]
[ROW][C]0.04[/C][C]1.43223207377886[/C][C]0.00563080292805797[/C][/ROW]
[ROW][C]0.05[/C][C]1.43491467113217[/C][C]0.00998886777445588[/C][/ROW]
[ROW][C]0.06[/C][C]1.43906845695214[/C][C]0.0146299366872947[/C][/ROW]
[ROW][C]0.07[/C][C]1.44456453934713[/C][C]0.0183142553716083[/C][/ROW]
[ROW][C]0.08[/C][C]1.45092561483719[/C][C]0.0200652178377890[/C][/ROW]
[ROW][C]0.09[/C][C]1.45747558826691[/C][C]0.0195718553536409[/C][/ROW]
[ROW][C]0.1[/C][C]1.46355350708945[/C][C]0.0172178104556286[/C][/ROW]
[ROW][C]0.11[/C][C]1.46868725682103[/C][C]0.0137992471083825[/C][/ROW]
[ROW][C]0.12[/C][C]1.47266624716393[/C][C]0.0101565971558889[/C][/ROW]
[ROW][C]0.13[/C][C]1.47551482686773[/C][C]0.00691114226745604[/C][/ROW]
[ROW][C]0.14[/C][C]1.47740882832328[/C][C]0.00437190455702746[/C][/ROW]
[ROW][C]0.15[/C][C]1.47858382601524[/C][C]0.0025824133549627[/C][/ROW]
[ROW][C]0.16[/C][C]1.47926665934964[/C][C]0.00143040085112313[/C][/ROW]
[ROW][C]0.17[/C][C]1.47963964858508[/C][C]0.000745208210524587[/C][/ROW]
[ROW][C]0.18[/C][C]1.47983172741244[/C][C]0.000366643656390611[/C][/ROW]
[ROW][C]0.19[/C][C]1.47992523303692[/C][C]0.000170448691324883[/C][/ROW]
[ROW][C]0.2[/C][C]1.47996838636564[/C][C]7.50858958293805e-05[/C][/ROW]
[ROW][C]0.21[/C][C]1.47998736965513[/C][C]3.17522876449909e-05[/C][/ROW]
[ROW][C]0.22[/C][C]1.47999550796374[/C][C]1.33788326450642e-05[/C][/ROW]
[ROW][C]0.23[/C][C]1.47999930698421[/C][C]8.29258005196975e-06[/C][/ROW]
[ROW][C]0.24[/C][C]1.48000207170482[/C][C]1.24558139084974e-05[/C][/ROW]
[ROW][C]0.25[/C][C]1.48000601698628[/C][C]2.63456266993645e-05[/C][/ROW]
[ROW][C]0.26[/C][C]1.480013633741[/C][C]5.60336972812333e-05[/C][/ROW]
[ROW][C]0.27[/C][C]1.48002886052948[/C][C]0.00011141109059129[/C][/ROW]
[ROW][C]0.28[/C][C]1.48005843392291[/C][C]0.000213419321238753[/C][/ROW]
[ROW][C]0.29[/C][C]1.4801136588195[/C][C]0.000392326609931524[/C][/ROW]
[ROW][C]0.3[/C][C]1.48021271859171[/C][C]0.000693476113464526[/C][/ROW]
[ROW][C]0.31[/C][C]1.48038349580051[/C][C]0.00117680821685894[/C][/ROW]
[ROW][C]0.32[/C][C]1.48066667369351[/C][C]0.00192209066231368[/C][/ROW]
[ROW][C]0.33[/C][C]1.48111864152309[/C][C]0.00302122369263859[/C][/ROW]
[ROW][C]0.34[/C][C]1.48181347359476[/C][C]0.00457158013357658[/C][/ROW]
[ROW][C]0.35[/C][C]1.48284306860823[/C][C]0.00667055066064974[/C][/ROW]
[ROW][C]0.36[/C][C]1.48431451849432[/C][C]0.00938449343325754[/C][/ROW]
[ROW][C]0.37[/C][C]1.48634401161842[/C][C]0.0127416567190032[/C][/ROW]
[ROW][C]0.38[/C][C]1.48904710234391[/C][C]0.0167010779324673[/C][/ROW]
[ROW][C]0.39[/C][C]1.49252595121028[/C][C]0.0211533239163567[/C][/ROW]
[ROW][C]0.4[/C][C]1.49685501095127[/C][C]0.0259014967046031[/C][/ROW]
[ROW][C]0.41[/C][C]1.50206737655032[/C][C]0.0306839593140978[/C][/ROW]
[ROW][C]0.42[/C][C]1.50814438357313[/C][C]0.0351912208013735[/C][/ROW]
[ROW][C]0.43[/C][C]1.51501083960396[/C][C]0.0391108624353432[/C][/ROW]
[ROW][C]0.44[/C][C]1.52253745944663[/C][C]0.042164877166701[/C][/ROW]
[ROW][C]0.45[/C][C]1.53055077763350[/C][C]0.0441503393216652[/C][/ROW]
[ROW][C]0.46[/C][C]1.53884932618688[/C][C]0.0449666747437037[/C][/ROW]
[ROW][C]0.47[/C][C]1.54722356885622[/C][C]0.0446334801536455[/C][/ROW]
[ROW][C]0.48[/C][C]1.55547631904941[/C][C]0.0432794907937467[/C][/ROW]
[ROW][C]0.49[/C][C]1.56344033682242[/C][C]0.0411208540848274[/C][/ROW]
[ROW][C]0.5[/C][C]1.57099049240726[/C][C]0.0384229923509489[/C][/ROW]
[ROW][C]0.51[/C][C]1.57804909231965[/C][C]0.0354619552627648[/C][/ROW]
[ROW][C]0.52[/C][C]1.58458435698838[/C][C]0.0324869055144326[/C][/ROW]
[ROW][C]0.53[/C][C]1.59060326959151[/C][C]0.0296907144783046[/C][/ROW]
[ROW][C]0.54[/C][C]1.59614082632980[/C][C]0.0271949498296685[/C][/ROW]
[ROW][C]0.55[/C][C]1.60124799901783[/C][C]0.0250505994896611[/C][/ROW]
[ROW][C]0.56[/C][C]1.60598051278415[/C][C]0.0232409149974788[/C][/ROW]
[ROW][C]0.57[/C][C]1.61038999198118[/C][C]0.0217098717026056[/C][/ROW]
[ROW][C]0.58[/C][C]1.61451832319988[/C][C]0.0203767444600398[/C][/ROW]
[ROW][C]0.59[/C][C]1.61839539385411[/C][C]0.0191611783292204[/C][/ROW]
[ROW][C]0.6[/C][C]1.62203980417117[/C][C]0.0180010513376958[/C][/ROW]
[ROW][C]0.61[/C][C]1.62546177754555[/C][C]0.0168510877566557[/C][/ROW]
[ROW][C]0.62[/C][C]1.62866732075368[/C][C]0.0157001153362884[/C][/ROW]
[ROW][C]0.63[/C][C]1.63166269255985[/C][C]0.0145632331339442[/C][/ROW]
[ROW][C]0.64[/C][C]1.63445838780543[/C][C]0.0134724571653939[/C][/ROW]
[ROW][C]0.65[/C][C]1.63707208027350[/C][C]0.0124745931818825[/C][/ROW]
[ROW][C]0.66[/C][C]1.63953022823952[/C][C]0.0116204595276674[/C][/ROW]
[ROW][C]0.67[/C][C]1.64186827122664[/C][C]0.0109610118217706[/C][/ROW]
[ROW][C]0.68[/C][C]1.64412949607109[/C][C]0.0105353414714783[/C][/ROW]
[ROW][C]0.69[/C][C]1.64636272455174[/C][C]0.0103669153306337[/C][/ROW]
[ROW][C]0.7[/C][C]1.64861901529793[/C][C]0.0104617213917293[/C][/ROW]
[ROW][C]0.71[/C][C]1.65094764468613[/C][C]0.010794339963155[/C][/ROW]
[ROW][C]0.72[/C][C]1.65339178506561[/C][C]0.0113208594983385[/C][/ROW]
[ROW][C]0.73[/C][C]1.65598452629902[/C][C]0.0119713031568248[/C][/ROW]
[ROW][C]0.74[/C][C]1.65874610085240[/C][C]0.0126660232296462[/C][/ROW]
[ROW][C]0.75[/C][C]1.66168322588974[/C][C]0.0133247655502272[/C][/ROW]
[ROW][C]0.76[/C][C]1.66479122520589[/C][C]0.0138872974886734[/C][/ROW]
[ROW][C]0.77[/C][C]1.66805898955882[/C][C]0.0143244639308423[/C][/ROW]
[ROW][C]0.78[/C][C]1.67147598584818[/C][C]0.0146492243523613[/C][/ROW]
[ROW][C]0.79[/C][C]1.67503970022393[/C][C]0.0149157712250056[/C][/ROW]
[ROW][C]0.8[/C][C]1.67876142742482[/C][C]0.0152037662506816[/C][/ROW]
[ROW][C]0.81[/C][C]1.68266843750401[/C][C]0.0155956079904704[/C][/ROW]
[ROW][C]0.82[/C][C]1.68680127652221[/C][C]0.0161474278515219[/C][/ROW]
[ROW][C]0.83[/C][C]1.69120605980784[/C][C]0.0168628645570029[/C][/ROW]
[ROW][C]0.84[/C][C]1.69592274736448[/C][C]0.0176887301601050[/C][/ROW]
[ROW][C]0.85[/C][C]1.70097128916705[/C][C]0.0185191628290458[/C][/ROW]
[ROW][C]0.86[/C][C]1.70633814396850[/C][C]0.0192059763810386[/C][/ROW]
[ROW][C]0.87[/C][C]1.71196610847591[/C][C]0.019583228296167[/C][/ROW]
[ROW][C]0.88[/C][C]1.71775071382748[/C][C]0.0194893397094452[/C][/ROW]
[ROW][C]0.89[/C][C]1.72354665892480[/C][C]0.0188069673376494[/C][/ROW]
[ROW][C]0.9[/C][C]1.72918807932976[/C][C]0.0175043887082605[/C][/ROW]
[ROW][C]0.91[/C][C]1.73452757157063[/C][C]0.0156669365464404[/C][/ROW]
[ROW][C]0.92[/C][C]1.73950113773873[/C][C]0.0135377654702787[/C][/ROW]
[ROW][C]0.93[/C][C]1.7442271602233[/C][C]0.0115688884922183[/C][/ROW]
[ROW][C]0.94[/C][C]1.74913986789744[/C][C]0.0105521283630229[/C][/ROW]
[ROW][C]0.95[/C][C]1.75513191765593[/C][C]0.0116447005101254[/C][/ROW]
[ROW][C]0.96[/C][C]1.76362606568477[/C][C]0.0155786600412647[/C][/ROW]
[ROW][C]0.97[/C][C]1.77636147588352[/C][C]0.0217663740204878[/C][/ROW]
[ROW][C]0.98[/C][C]1.79432928805999[/C][C]0.0286649836426323[/C][/ROW]
[ROW][C]0.99[/C][C]1.81506032219318[/C][C]0.0350155641705415[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9312&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
0.011.430028617609950.000129507936602716
0.021.430204630226420.00076868608322127
0.031.430801354221550.00247876484407015
0.041.432232073778860.00563080292805797
0.051.434914671132170.00998886777445588
0.061.439068456952140.0146299366872947
0.071.444564539347130.0183142553716083
0.081.450925614837190.0200652178377890
0.091.457475588266910.0195718553536409
0.11.463553507089450.0172178104556286
0.111.468687256821030.0137992471083825
0.121.472666247163930.0101565971558889
0.131.475514826867730.00691114226745604
0.141.477408828323280.00437190455702746
0.151.478583826015240.0025824133549627
0.161.479266659349640.00143040085112313
0.171.479639648585080.000745208210524587
0.181.479831727412440.000366643656390611
0.191.479925233036920.000170448691324883
0.21.479968386365647.50858958293805e-05
0.211.479987369655133.17522876449909e-05
0.221.479995507963741.33788326450642e-05
0.231.479999306984218.29258005196975e-06
0.241.480002071704821.24558139084974e-05
0.251.480006016986282.63456266993645e-05
0.261.4800136337415.60336972812333e-05
0.271.480028860529480.00011141109059129
0.281.480058433922910.000213419321238753
0.291.48011365881950.000392326609931524
0.31.480212718591710.000693476113464526
0.311.480383495800510.00117680821685894
0.321.480666673693510.00192209066231368
0.331.481118641523090.00302122369263859
0.341.481813473594760.00457158013357658
0.351.482843068608230.00667055066064974
0.361.484314518494320.00938449343325754
0.371.486344011618420.0127416567190032
0.381.489047102343910.0167010779324673
0.391.492525951210280.0211533239163567
0.41.496855010951270.0259014967046031
0.411.502067376550320.0306839593140978
0.421.508144383573130.0351912208013735
0.431.515010839603960.0391108624353432
0.441.522537459446630.042164877166701
0.451.530550777633500.0441503393216652
0.461.538849326186880.0449666747437037
0.471.547223568856220.0446334801536455
0.481.555476319049410.0432794907937467
0.491.563440336822420.0411208540848274
0.51.570990492407260.0384229923509489
0.511.578049092319650.0354619552627648
0.521.584584356988380.0324869055144326
0.531.590603269591510.0296907144783046
0.541.596140826329800.0271949498296685
0.551.601247999017830.0250505994896611
0.561.605980512784150.0232409149974788
0.571.610389991981180.0217098717026056
0.581.614518323199880.0203767444600398
0.591.618395393854110.0191611783292204
0.61.622039804171170.0180010513376958
0.611.625461777545550.0168510877566557
0.621.628667320753680.0157001153362884
0.631.631662692559850.0145632331339442
0.641.634458387805430.0134724571653939
0.651.637072080273500.0124745931818825
0.661.639530228239520.0116204595276674
0.671.641868271226640.0109610118217706
0.681.644129496071090.0105353414714783
0.691.646362724551740.0103669153306337
0.71.648619015297930.0104617213917293
0.711.650947644686130.010794339963155
0.721.653391785065610.0113208594983385
0.731.655984526299020.0119713031568248
0.741.658746100852400.0126660232296462
0.751.661683225889740.0133247655502272
0.761.664791225205890.0138872974886734
0.771.668058989558820.0143244639308423
0.781.671475985848180.0146492243523613
0.791.675039700223930.0149157712250056
0.81.678761427424820.0152037662506816
0.811.682668437504010.0155956079904704
0.821.686801276522210.0161474278515219
0.831.691206059807840.0168628645570029
0.841.695922747364480.0176887301601050
0.851.700971289167050.0185191628290458
0.861.706338143968500.0192059763810386
0.871.711966108475910.019583228296167
0.881.717750713827480.0194893397094452
0.891.723546658924800.0188069673376494
0.91.729188079329760.0175043887082605
0.911.734527571570630.0156669365464404
0.921.739501137738730.0135377654702787
0.931.74422716022330.0115688884922183
0.941.749139867897440.0105521283630229
0.951.755131917655930.0116447005101254
0.961.763626065684770.0155786600412647
0.971.776361475883520.0217663740204878
0.981.794329288059990.0286649836426323
0.991.815060322193180.0350155641705415


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')