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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 05 Jan 2015 12:39:47 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/05/t1420461678ee6c0sc40skxx9n.htm/, Retrieved Tue, 14 May 2024 01:55:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271955, Retrieved Tue, 14 May 2024 01:55:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-01-05 12:39:47] [fd8705890551d8de989fba3c4c1c4b9e] [Current]
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Dataseries X:
1,4
1,5
1,8
1,8
1,8
1,7
1,5
1,1
1,3
1,6
1,9
1,9
2
2,2
2,2
2
2,3
2,6
3,2
3,2
3,1
2,8
2,3
1,9
1,9
2
2
1,8
1,6
1,4
0,2
0,3
0,4
0,7
1
1,1
0,8
0,8
1
1,1
1
0,8
1,6
1,5
1,6
1,6
1,6
1,9
2
1,9
2
2,1
2,3
2,3
2,6
2,6
2,7
2,6
2,6
2,4
2,5
2,5
2,5
2,4
2,1
2,1
2,3
2,3
2,3
2,9
2,8
2,9
3
3
2,9
2,6
2,8
2,9
3,1
2,8
2,4
1,6
1,5
1,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271955&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271955&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.2517564147742320.119433467119811
0.020.3438639236280580.168150343345359
0.030.4543002797009020.203602617217832
0.040.565029768056770.204469527301571
0.050.6641531584728820.181724939863668
0.060.7469544009397940.156058366413814
0.070.8148507237643890.140092644432261
0.080.8721635714611210.134456478050346
0.090.9231994729149580.134650630387702
0.10.9710132982822190.137757147634703
0.111.017473438861630.143289332968905
0.121.063711483520650.151249889018516
0.131.11039943077480.160673012690222
0.141.15778219993770.169549919500945
0.151.205628273558760.175592825863087
0.161.253254503076270.177068637732211
0.171.299674157885960.173269333839414
0.181.343823890656840.164582063726277
0.191.384789171062640.152229418636423
0.21.421962204906330.137851520945393
0.211.455104923321780.123090709792821
0.221.484327108768570.109299165112573
0.231.510011529051210.0974188108751558
0.241.532721190388170.0880106376337646
0.251.553113894242130.0813608926076126
0.261.571874808992350.0775735314422181
0.271.589666114363440.0765919612888492
0.281.607087575382750.0781518648355362
0.291.624642841830130.0817531509083061
0.31.642710515600570.0866858478449939
0.311.661523203608080.0921431984390043
0.321.681159533129870.0973255287845961
0.331.701552823688330.101560925635284
0.341.722516669586640.104369381462694
0.351.743783732320290.105504658796854
0.361.765051126536220.10496017661022
0.371.786024793041150.10293506782871
0.381.806456239640280.0997742596062969
0.391.82616740447240.0959068407137935
0.41.845062289147550.091778550259654
0.411.863126621359610.0877986590661491
0.421.880418612379230.0843108503055336
0.431.897054662962760.081562601254645
0.441.913193684757370.0797175535918404
0.451.929022752299670.0788683228620738
0.461.944745392731370.0790563218361687
0.471.960572325973340.080298244476991
0.481.976713274486480.0825825762921098
0.491.993367905065420.0858632312903775
0.52.010714239538350.0900253754941469
0.512.028893949099360.0948515142694852
0.522.047995552816160.100013573466844
0.532.068038204825260.105083892919591
0.542.088959937186850.10958448168871
0.552.110614473648360.113038636915812
0.562.132779816463220.115046497726215
0.572.155179810858830.11535986320596
0.582.177517189961270.113930561282887
0.592.19951380273050.110944088248112
0.62.2209515235510.106812857835905
0.612.241706350414920.102125533764643
0.622.26176879088990.0975811784182054
0.632.281245817362870.0938647129685596
0.642.300343049008080.0915234094442948
0.652.319329664224540.0908468815474788
0.662.338491996960690.0917914644874127
0.672.358084055761480.0940077700839781
0.682.378283876117280.0969204471446731
0.692.399163649022410.099864092380098
0.72.42067930053710.102202617183075
0.712.442682132473950.103435357666087
0.722.464951705204590.103273612826957
0.732.4872455821130.101694285238932
0.742.509357983262440.0989668997732541
0.752.531176120828830.095633631625508
0.762.552720827939590.0924438030433354
0.772.574158427019790.0902073281840974
0.782.595775082165650.0895683734406753
0.792.617913691258560.0907500475748066
0.82.640885224564970.0933901200384624
0.812.664877427673030.0966170327393499
0.822.689888797652060.0993123853815809
0.832.715710881560310.10046317070475
0.842.741967731439990.0994501499939008
0.852.768203655277480.0961865158713328
0.862.793997749298620.0910995264414201
0.872.819081333691210.0849766518714951
0.882.843439335109930.0788094871824216
0.892.867379061682850.0736991273948658
0.92.89154276560570.0707520912301366
0.912.916831469065570.0707330082885338
0.922.944220494005390.0734431994346324
0.932.974503683663630.0774323065596134
0.943.008082319178670.0805375307646164
0.953.044904453722490.0810477716204079
0.963.084395761685690.0787088121191312
0.973.124818171519530.0733295499101375
0.983.161875102908920.0597618276086942
0.993.188585911551150.0310257960846512

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.251756414774232 & 0.119433467119811 \tabularnewline
0.02 & 0.343863923628058 & 0.168150343345359 \tabularnewline
0.03 & 0.454300279700902 & 0.203602617217832 \tabularnewline
0.04 & 0.56502976805677 & 0.204469527301571 \tabularnewline
0.05 & 0.664153158472882 & 0.181724939863668 \tabularnewline
0.06 & 0.746954400939794 & 0.156058366413814 \tabularnewline
0.07 & 0.814850723764389 & 0.140092644432261 \tabularnewline
0.08 & 0.872163571461121 & 0.134456478050346 \tabularnewline
0.09 & 0.923199472914958 & 0.134650630387702 \tabularnewline
0.1 & 0.971013298282219 & 0.137757147634703 \tabularnewline
0.11 & 1.01747343886163 & 0.143289332968905 \tabularnewline
0.12 & 1.06371148352065 & 0.151249889018516 \tabularnewline
0.13 & 1.1103994307748 & 0.160673012690222 \tabularnewline
0.14 & 1.1577821999377 & 0.169549919500945 \tabularnewline
0.15 & 1.20562827355876 & 0.175592825863087 \tabularnewline
0.16 & 1.25325450307627 & 0.177068637732211 \tabularnewline
0.17 & 1.29967415788596 & 0.173269333839414 \tabularnewline
0.18 & 1.34382389065684 & 0.164582063726277 \tabularnewline
0.19 & 1.38478917106264 & 0.152229418636423 \tabularnewline
0.2 & 1.42196220490633 & 0.137851520945393 \tabularnewline
0.21 & 1.45510492332178 & 0.123090709792821 \tabularnewline
0.22 & 1.48432710876857 & 0.109299165112573 \tabularnewline
0.23 & 1.51001152905121 & 0.0974188108751558 \tabularnewline
0.24 & 1.53272119038817 & 0.0880106376337646 \tabularnewline
0.25 & 1.55311389424213 & 0.0813608926076126 \tabularnewline
0.26 & 1.57187480899235 & 0.0775735314422181 \tabularnewline
0.27 & 1.58966611436344 & 0.0765919612888492 \tabularnewline
0.28 & 1.60708757538275 & 0.0781518648355362 \tabularnewline
0.29 & 1.62464284183013 & 0.0817531509083061 \tabularnewline
0.3 & 1.64271051560057 & 0.0866858478449939 \tabularnewline
0.31 & 1.66152320360808 & 0.0921431984390043 \tabularnewline
0.32 & 1.68115953312987 & 0.0973255287845961 \tabularnewline
0.33 & 1.70155282368833 & 0.101560925635284 \tabularnewline
0.34 & 1.72251666958664 & 0.104369381462694 \tabularnewline
0.35 & 1.74378373232029 & 0.105504658796854 \tabularnewline
0.36 & 1.76505112653622 & 0.10496017661022 \tabularnewline
0.37 & 1.78602479304115 & 0.10293506782871 \tabularnewline
0.38 & 1.80645623964028 & 0.0997742596062969 \tabularnewline
0.39 & 1.8261674044724 & 0.0959068407137935 \tabularnewline
0.4 & 1.84506228914755 & 0.091778550259654 \tabularnewline
0.41 & 1.86312662135961 & 0.0877986590661491 \tabularnewline
0.42 & 1.88041861237923 & 0.0843108503055336 \tabularnewline
0.43 & 1.89705466296276 & 0.081562601254645 \tabularnewline
0.44 & 1.91319368475737 & 0.0797175535918404 \tabularnewline
0.45 & 1.92902275229967 & 0.0788683228620738 \tabularnewline
0.46 & 1.94474539273137 & 0.0790563218361687 \tabularnewline
0.47 & 1.96057232597334 & 0.080298244476991 \tabularnewline
0.48 & 1.97671327448648 & 0.0825825762921098 \tabularnewline
0.49 & 1.99336790506542 & 0.0858632312903775 \tabularnewline
0.5 & 2.01071423953835 & 0.0900253754941469 \tabularnewline
0.51 & 2.02889394909936 & 0.0948515142694852 \tabularnewline
0.52 & 2.04799555281616 & 0.100013573466844 \tabularnewline
0.53 & 2.06803820482526 & 0.105083892919591 \tabularnewline
0.54 & 2.08895993718685 & 0.10958448168871 \tabularnewline
0.55 & 2.11061447364836 & 0.113038636915812 \tabularnewline
0.56 & 2.13277981646322 & 0.115046497726215 \tabularnewline
0.57 & 2.15517981085883 & 0.11535986320596 \tabularnewline
0.58 & 2.17751718996127 & 0.113930561282887 \tabularnewline
0.59 & 2.1995138027305 & 0.110944088248112 \tabularnewline
0.6 & 2.220951523551 & 0.106812857835905 \tabularnewline
0.61 & 2.24170635041492 & 0.102125533764643 \tabularnewline
0.62 & 2.2617687908899 & 0.0975811784182054 \tabularnewline
0.63 & 2.28124581736287 & 0.0938647129685596 \tabularnewline
0.64 & 2.30034304900808 & 0.0915234094442948 \tabularnewline
0.65 & 2.31932966422454 & 0.0908468815474788 \tabularnewline
0.66 & 2.33849199696069 & 0.0917914644874127 \tabularnewline
0.67 & 2.35808405576148 & 0.0940077700839781 \tabularnewline
0.68 & 2.37828387611728 & 0.0969204471446731 \tabularnewline
0.69 & 2.39916364902241 & 0.099864092380098 \tabularnewline
0.7 & 2.4206793005371 & 0.102202617183075 \tabularnewline
0.71 & 2.44268213247395 & 0.103435357666087 \tabularnewline
0.72 & 2.46495170520459 & 0.103273612826957 \tabularnewline
0.73 & 2.487245582113 & 0.101694285238932 \tabularnewline
0.74 & 2.50935798326244 & 0.0989668997732541 \tabularnewline
0.75 & 2.53117612082883 & 0.095633631625508 \tabularnewline
0.76 & 2.55272082793959 & 0.0924438030433354 \tabularnewline
0.77 & 2.57415842701979 & 0.0902073281840974 \tabularnewline
0.78 & 2.59577508216565 & 0.0895683734406753 \tabularnewline
0.79 & 2.61791369125856 & 0.0907500475748066 \tabularnewline
0.8 & 2.64088522456497 & 0.0933901200384624 \tabularnewline
0.81 & 2.66487742767303 & 0.0966170327393499 \tabularnewline
0.82 & 2.68988879765206 & 0.0993123853815809 \tabularnewline
0.83 & 2.71571088156031 & 0.10046317070475 \tabularnewline
0.84 & 2.74196773143999 & 0.0994501499939008 \tabularnewline
0.85 & 2.76820365527748 & 0.0961865158713328 \tabularnewline
0.86 & 2.79399774929862 & 0.0910995264414201 \tabularnewline
0.87 & 2.81908133369121 & 0.0849766518714951 \tabularnewline
0.88 & 2.84343933510993 & 0.0788094871824216 \tabularnewline
0.89 & 2.86737906168285 & 0.0736991273948658 \tabularnewline
0.9 & 2.8915427656057 & 0.0707520912301366 \tabularnewline
0.91 & 2.91683146906557 & 0.0707330082885338 \tabularnewline
0.92 & 2.94422049400539 & 0.0734431994346324 \tabularnewline
0.93 & 2.97450368366363 & 0.0774323065596134 \tabularnewline
0.94 & 3.00808231917867 & 0.0805375307646164 \tabularnewline
0.95 & 3.04490445372249 & 0.0810477716204079 \tabularnewline
0.96 & 3.08439576168569 & 0.0787088121191312 \tabularnewline
0.97 & 3.12481817151953 & 0.0733295499101375 \tabularnewline
0.98 & 3.16187510290892 & 0.0597618276086942 \tabularnewline
0.99 & 3.18858591155115 & 0.0310257960846512 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271955&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]0.251756414774232[/C][C]0.119433467119811[/C][/ROW]
[ROW][C]0.02[/C][C]0.343863923628058[/C][C]0.168150343345359[/C][/ROW]
[ROW][C]0.03[/C][C]0.454300279700902[/C][C]0.203602617217832[/C][/ROW]
[ROW][C]0.04[/C][C]0.56502976805677[/C][C]0.204469527301571[/C][/ROW]
[ROW][C]0.05[/C][C]0.664153158472882[/C][C]0.181724939863668[/C][/ROW]
[ROW][C]0.06[/C][C]0.746954400939794[/C][C]0.156058366413814[/C][/ROW]
[ROW][C]0.07[/C][C]0.814850723764389[/C][C]0.140092644432261[/C][/ROW]
[ROW][C]0.08[/C][C]0.872163571461121[/C][C]0.134456478050346[/C][/ROW]
[ROW][C]0.09[/C][C]0.923199472914958[/C][C]0.134650630387702[/C][/ROW]
[ROW][C]0.1[/C][C]0.971013298282219[/C][C]0.137757147634703[/C][/ROW]
[ROW][C]0.11[/C][C]1.01747343886163[/C][C]0.143289332968905[/C][/ROW]
[ROW][C]0.12[/C][C]1.06371148352065[/C][C]0.151249889018516[/C][/ROW]
[ROW][C]0.13[/C][C]1.1103994307748[/C][C]0.160673012690222[/C][/ROW]
[ROW][C]0.14[/C][C]1.1577821999377[/C][C]0.169549919500945[/C][/ROW]
[ROW][C]0.15[/C][C]1.20562827355876[/C][C]0.175592825863087[/C][/ROW]
[ROW][C]0.16[/C][C]1.25325450307627[/C][C]0.177068637732211[/C][/ROW]
[ROW][C]0.17[/C][C]1.29967415788596[/C][C]0.173269333839414[/C][/ROW]
[ROW][C]0.18[/C][C]1.34382389065684[/C][C]0.164582063726277[/C][/ROW]
[ROW][C]0.19[/C][C]1.38478917106264[/C][C]0.152229418636423[/C][/ROW]
[ROW][C]0.2[/C][C]1.42196220490633[/C][C]0.137851520945393[/C][/ROW]
[ROW][C]0.21[/C][C]1.45510492332178[/C][C]0.123090709792821[/C][/ROW]
[ROW][C]0.22[/C][C]1.48432710876857[/C][C]0.109299165112573[/C][/ROW]
[ROW][C]0.23[/C][C]1.51001152905121[/C][C]0.0974188108751558[/C][/ROW]
[ROW][C]0.24[/C][C]1.53272119038817[/C][C]0.0880106376337646[/C][/ROW]
[ROW][C]0.25[/C][C]1.55311389424213[/C][C]0.0813608926076126[/C][/ROW]
[ROW][C]0.26[/C][C]1.57187480899235[/C][C]0.0775735314422181[/C][/ROW]
[ROW][C]0.27[/C][C]1.58966611436344[/C][C]0.0765919612888492[/C][/ROW]
[ROW][C]0.28[/C][C]1.60708757538275[/C][C]0.0781518648355362[/C][/ROW]
[ROW][C]0.29[/C][C]1.62464284183013[/C][C]0.0817531509083061[/C][/ROW]
[ROW][C]0.3[/C][C]1.64271051560057[/C][C]0.0866858478449939[/C][/ROW]
[ROW][C]0.31[/C][C]1.66152320360808[/C][C]0.0921431984390043[/C][/ROW]
[ROW][C]0.32[/C][C]1.68115953312987[/C][C]0.0973255287845961[/C][/ROW]
[ROW][C]0.33[/C][C]1.70155282368833[/C][C]0.101560925635284[/C][/ROW]
[ROW][C]0.34[/C][C]1.72251666958664[/C][C]0.104369381462694[/C][/ROW]
[ROW][C]0.35[/C][C]1.74378373232029[/C][C]0.105504658796854[/C][/ROW]
[ROW][C]0.36[/C][C]1.76505112653622[/C][C]0.10496017661022[/C][/ROW]
[ROW][C]0.37[/C][C]1.78602479304115[/C][C]0.10293506782871[/C][/ROW]
[ROW][C]0.38[/C][C]1.80645623964028[/C][C]0.0997742596062969[/C][/ROW]
[ROW][C]0.39[/C][C]1.8261674044724[/C][C]0.0959068407137935[/C][/ROW]
[ROW][C]0.4[/C][C]1.84506228914755[/C][C]0.091778550259654[/C][/ROW]
[ROW][C]0.41[/C][C]1.86312662135961[/C][C]0.0877986590661491[/C][/ROW]
[ROW][C]0.42[/C][C]1.88041861237923[/C][C]0.0843108503055336[/C][/ROW]
[ROW][C]0.43[/C][C]1.89705466296276[/C][C]0.081562601254645[/C][/ROW]
[ROW][C]0.44[/C][C]1.91319368475737[/C][C]0.0797175535918404[/C][/ROW]
[ROW][C]0.45[/C][C]1.92902275229967[/C][C]0.0788683228620738[/C][/ROW]
[ROW][C]0.46[/C][C]1.94474539273137[/C][C]0.0790563218361687[/C][/ROW]
[ROW][C]0.47[/C][C]1.96057232597334[/C][C]0.080298244476991[/C][/ROW]
[ROW][C]0.48[/C][C]1.97671327448648[/C][C]0.0825825762921098[/C][/ROW]
[ROW][C]0.49[/C][C]1.99336790506542[/C][C]0.0858632312903775[/C][/ROW]
[ROW][C]0.5[/C][C]2.01071423953835[/C][C]0.0900253754941469[/C][/ROW]
[ROW][C]0.51[/C][C]2.02889394909936[/C][C]0.0948515142694852[/C][/ROW]
[ROW][C]0.52[/C][C]2.04799555281616[/C][C]0.100013573466844[/C][/ROW]
[ROW][C]0.53[/C][C]2.06803820482526[/C][C]0.105083892919591[/C][/ROW]
[ROW][C]0.54[/C][C]2.08895993718685[/C][C]0.10958448168871[/C][/ROW]
[ROW][C]0.55[/C][C]2.11061447364836[/C][C]0.113038636915812[/C][/ROW]
[ROW][C]0.56[/C][C]2.13277981646322[/C][C]0.115046497726215[/C][/ROW]
[ROW][C]0.57[/C][C]2.15517981085883[/C][C]0.11535986320596[/C][/ROW]
[ROW][C]0.58[/C][C]2.17751718996127[/C][C]0.113930561282887[/C][/ROW]
[ROW][C]0.59[/C][C]2.1995138027305[/C][C]0.110944088248112[/C][/ROW]
[ROW][C]0.6[/C][C]2.220951523551[/C][C]0.106812857835905[/C][/ROW]
[ROW][C]0.61[/C][C]2.24170635041492[/C][C]0.102125533764643[/C][/ROW]
[ROW][C]0.62[/C][C]2.2617687908899[/C][C]0.0975811784182054[/C][/ROW]
[ROW][C]0.63[/C][C]2.28124581736287[/C][C]0.0938647129685596[/C][/ROW]
[ROW][C]0.64[/C][C]2.30034304900808[/C][C]0.0915234094442948[/C][/ROW]
[ROW][C]0.65[/C][C]2.31932966422454[/C][C]0.0908468815474788[/C][/ROW]
[ROW][C]0.66[/C][C]2.33849199696069[/C][C]0.0917914644874127[/C][/ROW]
[ROW][C]0.67[/C][C]2.35808405576148[/C][C]0.0940077700839781[/C][/ROW]
[ROW][C]0.68[/C][C]2.37828387611728[/C][C]0.0969204471446731[/C][/ROW]
[ROW][C]0.69[/C][C]2.39916364902241[/C][C]0.099864092380098[/C][/ROW]
[ROW][C]0.7[/C][C]2.4206793005371[/C][C]0.102202617183075[/C][/ROW]
[ROW][C]0.71[/C][C]2.44268213247395[/C][C]0.103435357666087[/C][/ROW]
[ROW][C]0.72[/C][C]2.46495170520459[/C][C]0.103273612826957[/C][/ROW]
[ROW][C]0.73[/C][C]2.487245582113[/C][C]0.101694285238932[/C][/ROW]
[ROW][C]0.74[/C][C]2.50935798326244[/C][C]0.0989668997732541[/C][/ROW]
[ROW][C]0.75[/C][C]2.53117612082883[/C][C]0.095633631625508[/C][/ROW]
[ROW][C]0.76[/C][C]2.55272082793959[/C][C]0.0924438030433354[/C][/ROW]
[ROW][C]0.77[/C][C]2.57415842701979[/C][C]0.0902073281840974[/C][/ROW]
[ROW][C]0.78[/C][C]2.59577508216565[/C][C]0.0895683734406753[/C][/ROW]
[ROW][C]0.79[/C][C]2.61791369125856[/C][C]0.0907500475748066[/C][/ROW]
[ROW][C]0.8[/C][C]2.64088522456497[/C][C]0.0933901200384624[/C][/ROW]
[ROW][C]0.81[/C][C]2.66487742767303[/C][C]0.0966170327393499[/C][/ROW]
[ROW][C]0.82[/C][C]2.68988879765206[/C][C]0.0993123853815809[/C][/ROW]
[ROW][C]0.83[/C][C]2.71571088156031[/C][C]0.10046317070475[/C][/ROW]
[ROW][C]0.84[/C][C]2.74196773143999[/C][C]0.0994501499939008[/C][/ROW]
[ROW][C]0.85[/C][C]2.76820365527748[/C][C]0.0961865158713328[/C][/ROW]
[ROW][C]0.86[/C][C]2.79399774929862[/C][C]0.0910995264414201[/C][/ROW]
[ROW][C]0.87[/C][C]2.81908133369121[/C][C]0.0849766518714951[/C][/ROW]
[ROW][C]0.88[/C][C]2.84343933510993[/C][C]0.0788094871824216[/C][/ROW]
[ROW][C]0.89[/C][C]2.86737906168285[/C][C]0.0736991273948658[/C][/ROW]
[ROW][C]0.9[/C][C]2.8915427656057[/C][C]0.0707520912301366[/C][/ROW]
[ROW][C]0.91[/C][C]2.91683146906557[/C][C]0.0707330082885338[/C][/ROW]
[ROW][C]0.92[/C][C]2.94422049400539[/C][C]0.0734431994346324[/C][/ROW]
[ROW][C]0.93[/C][C]2.97450368366363[/C][C]0.0774323065596134[/C][/ROW]
[ROW][C]0.94[/C][C]3.00808231917867[/C][C]0.0805375307646164[/C][/ROW]
[ROW][C]0.95[/C][C]3.04490445372249[/C][C]0.0810477716204079[/C][/ROW]
[ROW][C]0.96[/C][C]3.08439576168569[/C][C]0.0787088121191312[/C][/ROW]
[ROW][C]0.97[/C][C]3.12481817151953[/C][C]0.0733295499101375[/C][/ROW]
[ROW][C]0.98[/C][C]3.16187510290892[/C][C]0.0597618276086942[/C][/ROW]
[ROW][C]0.99[/C][C]3.18858591155115[/C][C]0.0310257960846512[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271955&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.2517564147742320.119433467119811
0.020.3438639236280580.168150343345359
0.030.4543002797009020.203602617217832
0.040.565029768056770.204469527301571
0.050.6641531584728820.181724939863668
0.060.7469544009397940.156058366413814
0.070.8148507237643890.140092644432261
0.080.8721635714611210.134456478050346
0.090.9231994729149580.134650630387702
0.10.9710132982822190.137757147634703
0.111.017473438861630.143289332968905
0.121.063711483520650.151249889018516
0.131.11039943077480.160673012690222
0.141.15778219993770.169549919500945
0.151.205628273558760.175592825863087
0.161.253254503076270.177068637732211
0.171.299674157885960.173269333839414
0.181.343823890656840.164582063726277
0.191.384789171062640.152229418636423
0.21.421962204906330.137851520945393
0.211.455104923321780.123090709792821
0.221.484327108768570.109299165112573
0.231.510011529051210.0974188108751558
0.241.532721190388170.0880106376337646
0.251.553113894242130.0813608926076126
0.261.571874808992350.0775735314422181
0.271.589666114363440.0765919612888492
0.281.607087575382750.0781518648355362
0.291.624642841830130.0817531509083061
0.31.642710515600570.0866858478449939
0.311.661523203608080.0921431984390043
0.321.681159533129870.0973255287845961
0.331.701552823688330.101560925635284
0.341.722516669586640.104369381462694
0.351.743783732320290.105504658796854
0.361.765051126536220.10496017661022
0.371.786024793041150.10293506782871
0.381.806456239640280.0997742596062969
0.391.82616740447240.0959068407137935
0.41.845062289147550.091778550259654
0.411.863126621359610.0877986590661491
0.421.880418612379230.0843108503055336
0.431.897054662962760.081562601254645
0.441.913193684757370.0797175535918404
0.451.929022752299670.0788683228620738
0.461.944745392731370.0790563218361687
0.471.960572325973340.080298244476991
0.481.976713274486480.0825825762921098
0.491.993367905065420.0858632312903775
0.52.010714239538350.0900253754941469
0.512.028893949099360.0948515142694852
0.522.047995552816160.100013573466844
0.532.068038204825260.105083892919591
0.542.088959937186850.10958448168871
0.552.110614473648360.113038636915812
0.562.132779816463220.115046497726215
0.572.155179810858830.11535986320596
0.582.177517189961270.113930561282887
0.592.19951380273050.110944088248112
0.62.2209515235510.106812857835905
0.612.241706350414920.102125533764643
0.622.26176879088990.0975811784182054
0.632.281245817362870.0938647129685596
0.642.300343049008080.0915234094442948
0.652.319329664224540.0908468815474788
0.662.338491996960690.0917914644874127
0.672.358084055761480.0940077700839781
0.682.378283876117280.0969204471446731
0.692.399163649022410.099864092380098
0.72.42067930053710.102202617183075
0.712.442682132473950.103435357666087
0.722.464951705204590.103273612826957
0.732.4872455821130.101694285238932
0.742.509357983262440.0989668997732541
0.752.531176120828830.095633631625508
0.762.552720827939590.0924438030433354
0.772.574158427019790.0902073281840974
0.782.595775082165650.0895683734406753
0.792.617913691258560.0907500475748066
0.82.640885224564970.0933901200384624
0.812.664877427673030.0966170327393499
0.822.689888797652060.0993123853815809
0.832.715710881560310.10046317070475
0.842.741967731439990.0994501499939008
0.852.768203655277480.0961865158713328
0.862.793997749298620.0910995264414201
0.872.819081333691210.0849766518714951
0.882.843439335109930.0788094871824216
0.892.867379061682850.0736991273948658
0.92.89154276560570.0707520912301366
0.912.916831469065570.0707330082885338
0.922.944220494005390.0734431994346324
0.932.974503683663630.0774323065596134
0.943.008082319178670.0805375307646164
0.953.044904453722490.0810477716204079
0.963.084395761685690.0787088121191312
0.973.124818171519530.0733295499101375
0.983.161875102908920.0597618276086942
0.993.188585911551150.0310257960846512



Parameters (Session):
par1 = grey ;
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')