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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, 15 Feb 2014 06:42:10 -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/2014/Feb/15/t1392464573322123oelnl71rv.htm/, Retrieved Sat, 18 May 2024 07:26:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233693, Retrieved Sat, 18 May 2024 07:26:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [] [2014-02-15 11:42:10] [96d7fff632246663047c645f81fe87bb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,005
1,026
1,043
1,068
1,07
1,091
1,102
1,091
1,121
1,134
1,225
1,191
1,184
1,207
1,271
1,299
1,411
1,437
1,462
1,36
1,33
1,234
1,142
1,017
1,016
1,013
1
1,018
1,024
1,075
1,055
1,091
1,062
1,083
1,099
1,097
1,138
1,138
1,181
1,223
1,23
1,232
1,209
1,209
1,218
1,225
1,242
1,294
1,33
1,357
1,407
1,42
1,386
1,377
1,393
1,371
1,393
1,405
1,438
1,424
1,47
1,481
1,506
1,503
1,478
1,433
1,459
1,51
1,526
1,543
1,529
1,499

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233693&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]3 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=233693&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233693&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.001969364815690.00543726125702839
0.021.005153469725190.00604140367021746
0.031.008637855321540.00612188310538624
0.041.011900983216180.00591995696820326
0.051.014871184145430.00617556825487088
0.061.017741586713030.00735515639382268
0.071.020786699594420.00937017780495945
0.081.02423759063260.0118572569367333
0.091.028218174243680.0144055119969966
0.11.032731599461030.0166481467638115
0.111.037680778678320.0183187236775644
0.121.042906783996050.0192939914700869
0.131.048231172585550.0195903850113043
0.141.053491844757830.0193386787625486
0.151.058566388667440.0187280129502434
0.161.06338150346670.0179561944077816
0.171.067910972925990.0171850091033824
0.181.072166803280320.0165334490791503
0.191.076188257155180.0160761741878858
0.21.080032123064680.0158653694077572
0.211.083765602733540.015945366346171
0.221.087461559782110.0163537996284917
0.231.091195040828630.0171164368417502
0.241.095039976690660.0182339678989142
0.251.099065494064070.0196802604319195
0.261.10333190941030.0213925544500528
0.271.107886915748970.0232927000572079
0.281.112762573014330.025290985379545
0.291.117973519707470.0272970354137991
0.31.12351649575520.0292259640319857
0.311.129370979191620.0309965492579759
0.321.135500608428940.0325371937467825
0.331.141855108926010.0337809029873027
0.341.148372605600780.0346699722714319
0.351.15498237657620.0351547542762512
0.361.161608195960710.0352045604365994
0.371.168172377707910.0348130056055177
0.381.174600483927250.0340006897662125
0.391.180826460091970.0328180580681589
0.41.186797782457910.0313549203088439
0.411.192480108986870.0297185561498683
0.421.197860936610350.0280412941432521
0.431.202951868268530.0264661034119136
0.441.207789241181150.0251464210778784
0.451.212433017982740.0242205508087483
0.461.216963964876350.0238202120998315
0.471.221479230623160.0240380758992547
0.481.226086513142640.024930686838364
0.491.230897081493440.0264902890463651
0.51.236018027445590.028652210550199
0.511.24154425070530.0313059755574365
0.521.247550810272490.03429839736283
0.531.254086360402150.0374470201441786
0.541.261168390115590.0405594669578403
0.551.26878087124250.0434372805069423
0.561.276874689303540.045904918812574
0.571.285370912817560.0478063896444421
0.581.294166603855290.0490379967831863
0.591.303142551711710.0495387894987484
0.61.312172083023110.049301356873975
0.611.321130005600070.0483674669795978
0.621.32990079037390.0468165293281266
0.631.338385267009640.0447659917943016
0.641.346505362255960.042344668537011
0.651.35420669388890.0396930532051699
0.661.361459097545320.0369451757153364
0.671.368255371837170.0342227865847926
0.681.37460865975720.0316313200057373
0.691.380548940158020.0292490916662825
0.71.386119093935450.0271315897472474
0.711.391370953763180.0253146431342587
0.721.396361661342210.0238133589960954
0.731.401150553991150.0226228886019931
0.741.405796688458990.0217266061599657
0.751.410356987593720.0211011741909176
0.761.414884874877230.0207164504304717
0.771.419429167061260.0205395158755751
0.781.424032965070660.0205349142476371
0.791.428732357598570.0206640526045211
0.81.43355494193130.0208783376020345
0.811.438518422941140.0211230125119411
0.821.443629749819060.0213385509008684
0.831.448885227122850.0214663754726881
0.841.454271684954520.0214627027896667
0.851.459768194806580.0213034702109167
0.861.465347332531420.0209831553440804
0.871.470975178300440.0205005599441129
0.881.476610528792870.019845732141818
0.891.482205909397830.0189874129497275
0.91.487714480041210.0178982313960012
0.911.493105460675090.0166009149307859
0.921.49838462825450.0152222276694861
0.931.503608067489640.0139907897054814
0.941.508875540089720.0131113741068633
0.951.514305336289320.0125314395705462
0.961.520016975125220.0118948267588963
0.971.52612493988950.0110223700768055
0.981.532607591167220.0106629716390725
0.991.538819369252610.0119238310188285

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.00196936481569 & 0.00543726125702839 \tabularnewline
0.02 & 1.00515346972519 & 0.00604140367021746 \tabularnewline
0.03 & 1.00863785532154 & 0.00612188310538624 \tabularnewline
0.04 & 1.01190098321618 & 0.00591995696820326 \tabularnewline
0.05 & 1.01487118414543 & 0.00617556825487088 \tabularnewline
0.06 & 1.01774158671303 & 0.00735515639382268 \tabularnewline
0.07 & 1.02078669959442 & 0.00937017780495945 \tabularnewline
0.08 & 1.0242375906326 & 0.0118572569367333 \tabularnewline
0.09 & 1.02821817424368 & 0.0144055119969966 \tabularnewline
0.1 & 1.03273159946103 & 0.0166481467638115 \tabularnewline
0.11 & 1.03768077867832 & 0.0183187236775644 \tabularnewline
0.12 & 1.04290678399605 & 0.0192939914700869 \tabularnewline
0.13 & 1.04823117258555 & 0.0195903850113043 \tabularnewline
0.14 & 1.05349184475783 & 0.0193386787625486 \tabularnewline
0.15 & 1.05856638866744 & 0.0187280129502434 \tabularnewline
0.16 & 1.0633815034667 & 0.0179561944077816 \tabularnewline
0.17 & 1.06791097292599 & 0.0171850091033824 \tabularnewline
0.18 & 1.07216680328032 & 0.0165334490791503 \tabularnewline
0.19 & 1.07618825715518 & 0.0160761741878858 \tabularnewline
0.2 & 1.08003212306468 & 0.0158653694077572 \tabularnewline
0.21 & 1.08376560273354 & 0.015945366346171 \tabularnewline
0.22 & 1.08746155978211 & 0.0163537996284917 \tabularnewline
0.23 & 1.09119504082863 & 0.0171164368417502 \tabularnewline
0.24 & 1.09503997669066 & 0.0182339678989142 \tabularnewline
0.25 & 1.09906549406407 & 0.0196802604319195 \tabularnewline
0.26 & 1.1033319094103 & 0.0213925544500528 \tabularnewline
0.27 & 1.10788691574897 & 0.0232927000572079 \tabularnewline
0.28 & 1.11276257301433 & 0.025290985379545 \tabularnewline
0.29 & 1.11797351970747 & 0.0272970354137991 \tabularnewline
0.3 & 1.1235164957552 & 0.0292259640319857 \tabularnewline
0.31 & 1.12937097919162 & 0.0309965492579759 \tabularnewline
0.32 & 1.13550060842894 & 0.0325371937467825 \tabularnewline
0.33 & 1.14185510892601 & 0.0337809029873027 \tabularnewline
0.34 & 1.14837260560078 & 0.0346699722714319 \tabularnewline
0.35 & 1.1549823765762 & 0.0351547542762512 \tabularnewline
0.36 & 1.16160819596071 & 0.0352045604365994 \tabularnewline
0.37 & 1.16817237770791 & 0.0348130056055177 \tabularnewline
0.38 & 1.17460048392725 & 0.0340006897662125 \tabularnewline
0.39 & 1.18082646009197 & 0.0328180580681589 \tabularnewline
0.4 & 1.18679778245791 & 0.0313549203088439 \tabularnewline
0.41 & 1.19248010898687 & 0.0297185561498683 \tabularnewline
0.42 & 1.19786093661035 & 0.0280412941432521 \tabularnewline
0.43 & 1.20295186826853 & 0.0264661034119136 \tabularnewline
0.44 & 1.20778924118115 & 0.0251464210778784 \tabularnewline
0.45 & 1.21243301798274 & 0.0242205508087483 \tabularnewline
0.46 & 1.21696396487635 & 0.0238202120998315 \tabularnewline
0.47 & 1.22147923062316 & 0.0240380758992547 \tabularnewline
0.48 & 1.22608651314264 & 0.024930686838364 \tabularnewline
0.49 & 1.23089708149344 & 0.0264902890463651 \tabularnewline
0.5 & 1.23601802744559 & 0.028652210550199 \tabularnewline
0.51 & 1.2415442507053 & 0.0313059755574365 \tabularnewline
0.52 & 1.24755081027249 & 0.03429839736283 \tabularnewline
0.53 & 1.25408636040215 & 0.0374470201441786 \tabularnewline
0.54 & 1.26116839011559 & 0.0405594669578403 \tabularnewline
0.55 & 1.2687808712425 & 0.0434372805069423 \tabularnewline
0.56 & 1.27687468930354 & 0.045904918812574 \tabularnewline
0.57 & 1.28537091281756 & 0.0478063896444421 \tabularnewline
0.58 & 1.29416660385529 & 0.0490379967831863 \tabularnewline
0.59 & 1.30314255171171 & 0.0495387894987484 \tabularnewline
0.6 & 1.31217208302311 & 0.049301356873975 \tabularnewline
0.61 & 1.32113000560007 & 0.0483674669795978 \tabularnewline
0.62 & 1.3299007903739 & 0.0468165293281266 \tabularnewline
0.63 & 1.33838526700964 & 0.0447659917943016 \tabularnewline
0.64 & 1.34650536225596 & 0.042344668537011 \tabularnewline
0.65 & 1.3542066938889 & 0.0396930532051699 \tabularnewline
0.66 & 1.36145909754532 & 0.0369451757153364 \tabularnewline
0.67 & 1.36825537183717 & 0.0342227865847926 \tabularnewline
0.68 & 1.3746086597572 & 0.0316313200057373 \tabularnewline
0.69 & 1.38054894015802 & 0.0292490916662825 \tabularnewline
0.7 & 1.38611909393545 & 0.0271315897472474 \tabularnewline
0.71 & 1.39137095376318 & 0.0253146431342587 \tabularnewline
0.72 & 1.39636166134221 & 0.0238133589960954 \tabularnewline
0.73 & 1.40115055399115 & 0.0226228886019931 \tabularnewline
0.74 & 1.40579668845899 & 0.0217266061599657 \tabularnewline
0.75 & 1.41035698759372 & 0.0211011741909176 \tabularnewline
0.76 & 1.41488487487723 & 0.0207164504304717 \tabularnewline
0.77 & 1.41942916706126 & 0.0205395158755751 \tabularnewline
0.78 & 1.42403296507066 & 0.0205349142476371 \tabularnewline
0.79 & 1.42873235759857 & 0.0206640526045211 \tabularnewline
0.8 & 1.4335549419313 & 0.0208783376020345 \tabularnewline
0.81 & 1.43851842294114 & 0.0211230125119411 \tabularnewline
0.82 & 1.44362974981906 & 0.0213385509008684 \tabularnewline
0.83 & 1.44888522712285 & 0.0214663754726881 \tabularnewline
0.84 & 1.45427168495452 & 0.0214627027896667 \tabularnewline
0.85 & 1.45976819480658 & 0.0213034702109167 \tabularnewline
0.86 & 1.46534733253142 & 0.0209831553440804 \tabularnewline
0.87 & 1.47097517830044 & 0.0205005599441129 \tabularnewline
0.88 & 1.47661052879287 & 0.019845732141818 \tabularnewline
0.89 & 1.48220590939783 & 0.0189874129497275 \tabularnewline
0.9 & 1.48771448004121 & 0.0178982313960012 \tabularnewline
0.91 & 1.49310546067509 & 0.0166009149307859 \tabularnewline
0.92 & 1.4983846282545 & 0.0152222276694861 \tabularnewline
0.93 & 1.50360806748964 & 0.0139907897054814 \tabularnewline
0.94 & 1.50887554008972 & 0.0131113741068633 \tabularnewline
0.95 & 1.51430533628932 & 0.0125314395705462 \tabularnewline
0.96 & 1.52001697512522 & 0.0118948267588963 \tabularnewline
0.97 & 1.5261249398895 & 0.0110223700768055 \tabularnewline
0.98 & 1.53260759116722 & 0.0106629716390725 \tabularnewline
0.99 & 1.53881936925261 & 0.0119238310188285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233693&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]1.00196936481569[/C][C]0.00543726125702839[/C][/ROW]
[ROW][C]0.02[/C][C]1.00515346972519[/C][C]0.00604140367021746[/C][/ROW]
[ROW][C]0.03[/C][C]1.00863785532154[/C][C]0.00612188310538624[/C][/ROW]
[ROW][C]0.04[/C][C]1.01190098321618[/C][C]0.00591995696820326[/C][/ROW]
[ROW][C]0.05[/C][C]1.01487118414543[/C][C]0.00617556825487088[/C][/ROW]
[ROW][C]0.06[/C][C]1.01774158671303[/C][C]0.00735515639382268[/C][/ROW]
[ROW][C]0.07[/C][C]1.02078669959442[/C][C]0.00937017780495945[/C][/ROW]
[ROW][C]0.08[/C][C]1.0242375906326[/C][C]0.0118572569367333[/C][/ROW]
[ROW][C]0.09[/C][C]1.02821817424368[/C][C]0.0144055119969966[/C][/ROW]
[ROW][C]0.1[/C][C]1.03273159946103[/C][C]0.0166481467638115[/C][/ROW]
[ROW][C]0.11[/C][C]1.03768077867832[/C][C]0.0183187236775644[/C][/ROW]
[ROW][C]0.12[/C][C]1.04290678399605[/C][C]0.0192939914700869[/C][/ROW]
[ROW][C]0.13[/C][C]1.04823117258555[/C][C]0.0195903850113043[/C][/ROW]
[ROW][C]0.14[/C][C]1.05349184475783[/C][C]0.0193386787625486[/C][/ROW]
[ROW][C]0.15[/C][C]1.05856638866744[/C][C]0.0187280129502434[/C][/ROW]
[ROW][C]0.16[/C][C]1.0633815034667[/C][C]0.0179561944077816[/C][/ROW]
[ROW][C]0.17[/C][C]1.06791097292599[/C][C]0.0171850091033824[/C][/ROW]
[ROW][C]0.18[/C][C]1.07216680328032[/C][C]0.0165334490791503[/C][/ROW]
[ROW][C]0.19[/C][C]1.07618825715518[/C][C]0.0160761741878858[/C][/ROW]
[ROW][C]0.2[/C][C]1.08003212306468[/C][C]0.0158653694077572[/C][/ROW]
[ROW][C]0.21[/C][C]1.08376560273354[/C][C]0.015945366346171[/C][/ROW]
[ROW][C]0.22[/C][C]1.08746155978211[/C][C]0.0163537996284917[/C][/ROW]
[ROW][C]0.23[/C][C]1.09119504082863[/C][C]0.0171164368417502[/C][/ROW]
[ROW][C]0.24[/C][C]1.09503997669066[/C][C]0.0182339678989142[/C][/ROW]
[ROW][C]0.25[/C][C]1.09906549406407[/C][C]0.0196802604319195[/C][/ROW]
[ROW][C]0.26[/C][C]1.1033319094103[/C][C]0.0213925544500528[/C][/ROW]
[ROW][C]0.27[/C][C]1.10788691574897[/C][C]0.0232927000572079[/C][/ROW]
[ROW][C]0.28[/C][C]1.11276257301433[/C][C]0.025290985379545[/C][/ROW]
[ROW][C]0.29[/C][C]1.11797351970747[/C][C]0.0272970354137991[/C][/ROW]
[ROW][C]0.3[/C][C]1.1235164957552[/C][C]0.0292259640319857[/C][/ROW]
[ROW][C]0.31[/C][C]1.12937097919162[/C][C]0.0309965492579759[/C][/ROW]
[ROW][C]0.32[/C][C]1.13550060842894[/C][C]0.0325371937467825[/C][/ROW]
[ROW][C]0.33[/C][C]1.14185510892601[/C][C]0.0337809029873027[/C][/ROW]
[ROW][C]0.34[/C][C]1.14837260560078[/C][C]0.0346699722714319[/C][/ROW]
[ROW][C]0.35[/C][C]1.1549823765762[/C][C]0.0351547542762512[/C][/ROW]
[ROW][C]0.36[/C][C]1.16160819596071[/C][C]0.0352045604365994[/C][/ROW]
[ROW][C]0.37[/C][C]1.16817237770791[/C][C]0.0348130056055177[/C][/ROW]
[ROW][C]0.38[/C][C]1.17460048392725[/C][C]0.0340006897662125[/C][/ROW]
[ROW][C]0.39[/C][C]1.18082646009197[/C][C]0.0328180580681589[/C][/ROW]
[ROW][C]0.4[/C][C]1.18679778245791[/C][C]0.0313549203088439[/C][/ROW]
[ROW][C]0.41[/C][C]1.19248010898687[/C][C]0.0297185561498683[/C][/ROW]
[ROW][C]0.42[/C][C]1.19786093661035[/C][C]0.0280412941432521[/C][/ROW]
[ROW][C]0.43[/C][C]1.20295186826853[/C][C]0.0264661034119136[/C][/ROW]
[ROW][C]0.44[/C][C]1.20778924118115[/C][C]0.0251464210778784[/C][/ROW]
[ROW][C]0.45[/C][C]1.21243301798274[/C][C]0.0242205508087483[/C][/ROW]
[ROW][C]0.46[/C][C]1.21696396487635[/C][C]0.0238202120998315[/C][/ROW]
[ROW][C]0.47[/C][C]1.22147923062316[/C][C]0.0240380758992547[/C][/ROW]
[ROW][C]0.48[/C][C]1.22608651314264[/C][C]0.024930686838364[/C][/ROW]
[ROW][C]0.49[/C][C]1.23089708149344[/C][C]0.0264902890463651[/C][/ROW]
[ROW][C]0.5[/C][C]1.23601802744559[/C][C]0.028652210550199[/C][/ROW]
[ROW][C]0.51[/C][C]1.2415442507053[/C][C]0.0313059755574365[/C][/ROW]
[ROW][C]0.52[/C][C]1.24755081027249[/C][C]0.03429839736283[/C][/ROW]
[ROW][C]0.53[/C][C]1.25408636040215[/C][C]0.0374470201441786[/C][/ROW]
[ROW][C]0.54[/C][C]1.26116839011559[/C][C]0.0405594669578403[/C][/ROW]
[ROW][C]0.55[/C][C]1.2687808712425[/C][C]0.0434372805069423[/C][/ROW]
[ROW][C]0.56[/C][C]1.27687468930354[/C][C]0.045904918812574[/C][/ROW]
[ROW][C]0.57[/C][C]1.28537091281756[/C][C]0.0478063896444421[/C][/ROW]
[ROW][C]0.58[/C][C]1.29416660385529[/C][C]0.0490379967831863[/C][/ROW]
[ROW][C]0.59[/C][C]1.30314255171171[/C][C]0.0495387894987484[/C][/ROW]
[ROW][C]0.6[/C][C]1.31217208302311[/C][C]0.049301356873975[/C][/ROW]
[ROW][C]0.61[/C][C]1.32113000560007[/C][C]0.0483674669795978[/C][/ROW]
[ROW][C]0.62[/C][C]1.3299007903739[/C][C]0.0468165293281266[/C][/ROW]
[ROW][C]0.63[/C][C]1.33838526700964[/C][C]0.0447659917943016[/C][/ROW]
[ROW][C]0.64[/C][C]1.34650536225596[/C][C]0.042344668537011[/C][/ROW]
[ROW][C]0.65[/C][C]1.3542066938889[/C][C]0.0396930532051699[/C][/ROW]
[ROW][C]0.66[/C][C]1.36145909754532[/C][C]0.0369451757153364[/C][/ROW]
[ROW][C]0.67[/C][C]1.36825537183717[/C][C]0.0342227865847926[/C][/ROW]
[ROW][C]0.68[/C][C]1.3746086597572[/C][C]0.0316313200057373[/C][/ROW]
[ROW][C]0.69[/C][C]1.38054894015802[/C][C]0.0292490916662825[/C][/ROW]
[ROW][C]0.7[/C][C]1.38611909393545[/C][C]0.0271315897472474[/C][/ROW]
[ROW][C]0.71[/C][C]1.39137095376318[/C][C]0.0253146431342587[/C][/ROW]
[ROW][C]0.72[/C][C]1.39636166134221[/C][C]0.0238133589960954[/C][/ROW]
[ROW][C]0.73[/C][C]1.40115055399115[/C][C]0.0226228886019931[/C][/ROW]
[ROW][C]0.74[/C][C]1.40579668845899[/C][C]0.0217266061599657[/C][/ROW]
[ROW][C]0.75[/C][C]1.41035698759372[/C][C]0.0211011741909176[/C][/ROW]
[ROW][C]0.76[/C][C]1.41488487487723[/C][C]0.0207164504304717[/C][/ROW]
[ROW][C]0.77[/C][C]1.41942916706126[/C][C]0.0205395158755751[/C][/ROW]
[ROW][C]0.78[/C][C]1.42403296507066[/C][C]0.0205349142476371[/C][/ROW]
[ROW][C]0.79[/C][C]1.42873235759857[/C][C]0.0206640526045211[/C][/ROW]
[ROW][C]0.8[/C][C]1.4335549419313[/C][C]0.0208783376020345[/C][/ROW]
[ROW][C]0.81[/C][C]1.43851842294114[/C][C]0.0211230125119411[/C][/ROW]
[ROW][C]0.82[/C][C]1.44362974981906[/C][C]0.0213385509008684[/C][/ROW]
[ROW][C]0.83[/C][C]1.44888522712285[/C][C]0.0214663754726881[/C][/ROW]
[ROW][C]0.84[/C][C]1.45427168495452[/C][C]0.0214627027896667[/C][/ROW]
[ROW][C]0.85[/C][C]1.45976819480658[/C][C]0.0213034702109167[/C][/ROW]
[ROW][C]0.86[/C][C]1.46534733253142[/C][C]0.0209831553440804[/C][/ROW]
[ROW][C]0.87[/C][C]1.47097517830044[/C][C]0.0205005599441129[/C][/ROW]
[ROW][C]0.88[/C][C]1.47661052879287[/C][C]0.019845732141818[/C][/ROW]
[ROW][C]0.89[/C][C]1.48220590939783[/C][C]0.0189874129497275[/C][/ROW]
[ROW][C]0.9[/C][C]1.48771448004121[/C][C]0.0178982313960012[/C][/ROW]
[ROW][C]0.91[/C][C]1.49310546067509[/C][C]0.0166009149307859[/C][/ROW]
[ROW][C]0.92[/C][C]1.4983846282545[/C][C]0.0152222276694861[/C][/ROW]
[ROW][C]0.93[/C][C]1.50360806748964[/C][C]0.0139907897054814[/C][/ROW]
[ROW][C]0.94[/C][C]1.50887554008972[/C][C]0.0131113741068633[/C][/ROW]
[ROW][C]0.95[/C][C]1.51430533628932[/C][C]0.0125314395705462[/C][/ROW]
[ROW][C]0.96[/C][C]1.52001697512522[/C][C]0.0118948267588963[/C][/ROW]
[ROW][C]0.97[/C][C]1.5261249398895[/C][C]0.0110223700768055[/C][/ROW]
[ROW][C]0.98[/C][C]1.53260759116722[/C][C]0.0106629716390725[/C][/ROW]
[ROW][C]0.99[/C][C]1.53881936925261[/C][C]0.0119238310188285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233693&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233693&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
0.011.001969364815690.00543726125702839
0.021.005153469725190.00604140367021746
0.031.008637855321540.00612188310538624
0.041.011900983216180.00591995696820326
0.051.014871184145430.00617556825487088
0.061.017741586713030.00735515639382268
0.071.020786699594420.00937017780495945
0.081.02423759063260.0118572569367333
0.091.028218174243680.0144055119969966
0.11.032731599461030.0166481467638115
0.111.037680778678320.0183187236775644
0.121.042906783996050.0192939914700869
0.131.048231172585550.0195903850113043
0.141.053491844757830.0193386787625486
0.151.058566388667440.0187280129502434
0.161.06338150346670.0179561944077816
0.171.067910972925990.0171850091033824
0.181.072166803280320.0165334490791503
0.191.076188257155180.0160761741878858
0.21.080032123064680.0158653694077572
0.211.083765602733540.015945366346171
0.221.087461559782110.0163537996284917
0.231.091195040828630.0171164368417502
0.241.095039976690660.0182339678989142
0.251.099065494064070.0196802604319195
0.261.10333190941030.0213925544500528
0.271.107886915748970.0232927000572079
0.281.112762573014330.025290985379545
0.291.117973519707470.0272970354137991
0.31.12351649575520.0292259640319857
0.311.129370979191620.0309965492579759
0.321.135500608428940.0325371937467825
0.331.141855108926010.0337809029873027
0.341.148372605600780.0346699722714319
0.351.15498237657620.0351547542762512
0.361.161608195960710.0352045604365994
0.371.168172377707910.0348130056055177
0.381.174600483927250.0340006897662125
0.391.180826460091970.0328180580681589
0.41.186797782457910.0313549203088439
0.411.192480108986870.0297185561498683
0.421.197860936610350.0280412941432521
0.431.202951868268530.0264661034119136
0.441.207789241181150.0251464210778784
0.451.212433017982740.0242205508087483
0.461.216963964876350.0238202120998315
0.471.221479230623160.0240380758992547
0.481.226086513142640.024930686838364
0.491.230897081493440.0264902890463651
0.51.236018027445590.028652210550199
0.511.24154425070530.0313059755574365
0.521.247550810272490.03429839736283
0.531.254086360402150.0374470201441786
0.541.261168390115590.0405594669578403
0.551.26878087124250.0434372805069423
0.561.276874689303540.045904918812574
0.571.285370912817560.0478063896444421
0.581.294166603855290.0490379967831863
0.591.303142551711710.0495387894987484
0.61.312172083023110.049301356873975
0.611.321130005600070.0483674669795978
0.621.32990079037390.0468165293281266
0.631.338385267009640.0447659917943016
0.641.346505362255960.042344668537011
0.651.35420669388890.0396930532051699
0.661.361459097545320.0369451757153364
0.671.368255371837170.0342227865847926
0.681.37460865975720.0316313200057373
0.691.380548940158020.0292490916662825
0.71.386119093935450.0271315897472474
0.711.391370953763180.0253146431342587
0.721.396361661342210.0238133589960954
0.731.401150553991150.0226228886019931
0.741.405796688458990.0217266061599657
0.751.410356987593720.0211011741909176
0.761.414884874877230.0207164504304717
0.771.419429167061260.0205395158755751
0.781.424032965070660.0205349142476371
0.791.428732357598570.0206640526045211
0.81.43355494193130.0208783376020345
0.811.438518422941140.0211230125119411
0.821.443629749819060.0213385509008684
0.831.448885227122850.0214663754726881
0.841.454271684954520.0214627027896667
0.851.459768194806580.0213034702109167
0.861.465347332531420.0209831553440804
0.871.470975178300440.0205005599441129
0.881.476610528792870.019845732141818
0.891.482205909397830.0189874129497275
0.91.487714480041210.0178982313960012
0.911.493105460675090.0166009149307859
0.921.49838462825450.0152222276694861
0.931.503608067489640.0139907897054814
0.941.508875540089720.0131113741068633
0.951.514305336289320.0125314395705462
0.961.520016975125220.0118948267588963
0.971.52612493988950.0110223700768055
0.981.532607591167220.0106629716390725
0.991.538819369252610.0119238310188285


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')