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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Dec 2014 18:13:52 +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/2014/Dec/08/t1418062490p4vaaj7v67uucbn.htm/, Retrieved Sun, 19 May 2024 08:48:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264138, Retrieved Sun, 19 May 2024 08:48:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-06 15:29:08] [4c4ebb0b36a379d1d949ba77427e658a]
- RM D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:37:26] [4c4ebb0b36a379d1d949ba77427e658a]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:14] [4c4ebb0b36a379d1d949ba77427e658a]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-08 17:38:46] [4c4ebb0b36a379d1d949ba77427e658a]
- RMPD          [Harrell-Davis Quantiles] [] [2014-12-08 18:13:52] [d9810f96fa2f1581f787e7f797109997] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21
26
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22
18
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12
20
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21
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15
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264138&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264138&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.436317834278060.879645681210027
0.024.719879667522872.03686422579264
0.036.608374901599742.72929229701354
0.048.57809132958612.63604674626602
0.0510.2337639830492.18010479455507
0.0611.48836351877361.7573701712337
0.0712.42898528705731.46304722239352
0.0813.15936104547671.2585449499377
0.0913.74762623612441.09811976769896
0.114.23187899614530.960589782494274
0.1114.63470652664720.840672795801702
0.1214.97131181329230.734660350335986
0.1315.2519224334380.634879784881567
0.1415.48288448414050.534756194204756
0.1515.66916179315860.43715676295733
0.1615.81783176297820.3568069535018
0.1715.94042581154610.315224226757632
0.1816.05253514865880.329165059003965
0.1916.17087366482820.396020495732997
0.216.30932556929940.496214875963683
0.2116.4757201795790.604932815311175
0.2216.67048160424760.698834535555921
0.2316.88745089647890.76084135905
0.2417.1164105025730.783751391878208
0.2517.3463198447490.770951584068445
0.2617.56811930470290.733504318245403
0.2717.77623392494830.68499164758251
0.2817.96850586419730.63598157411213
0.2918.14494432231930.590547082010312
0.318.30610324389540.54636056167166
0.3118.45190502814790.498132266866653
0.3218.58136632717990.442057476161393
0.3318.69317677220620.378497816280096
0.3418.78670087032870.312279914956164
0.3518.86287235741720.251095667566525
0.3618.92460619277820.203595751793452
0.3718.97661896456810.177652754937816
0.3819.02476856448950.178094124384672
0.3919.07512591262450.203683197786682
0.419.13299696085070.247644415284591
0.4119.20208459856680.300960883079146
0.4219.28395636409990.354311062459973
0.4319.37795465126110.399333439162411
0.4419.48161507721890.430263183546273
0.4519.59152953898990.445614054341259
0.4619.70443632029860.448479020296433
0.4719.8182125146390.445754356003578
0.4819.93245167159810.445950361684052
0.4920.04844856633590.4560345122624
0.520.16863100801030.47897643233804
0.5120.29567828426590.512894484357441
0.5220.43165694688650.552585311038804
0.5320.57745322353930.591933797464146
0.5420.73262627558060.625802120675549
0.5520.89563349456660.650935396711475
0.5621.06426834434590.666159487911071
0.5721.23613322170950.671797733366207
0.5821.40901696878090.669255598706619
0.5921.58110629689230.660420858682489
0.621.75100019376660.646995791147842
0.6121.91752552511690.629921545018844
0.6222.07939994421050.608480834532788
0.6322.2348616175880.580293943956556
0.6422.38144554560660.54209005087416
0.6522.51607347515320.491459582427144
0.6622.63551168499610.428495092506885
0.6722.73708138039180.356501981968875
0.6822.81937550616440.281381147363128
0.6922.88272723036930.210209589559597
0.722.92929944819790.149529679531514
0.7122.96284667669950.10434954270949
0.7222.98832783243980.0787238228007451
0.7323.01154085260320.0769138877451229
0.7423.03881150558790.100288475964937
0.7523.07659096224410.145649224145564
0.7623.1307402628820.208010316195688
0.7723.20541920084970.279244920448394
0.7823.3018490037420.347618357893508
0.7923.41759805057640.400112439730469
0.823.54712460921650.4276861270635
0.8123.68383585542430.43019206743944
0.8223.82296007547710.418211017623152
0.8323.96362563122440.40887073077661
0.8424.10849246278320.414772101895453
0.8524.26054504020130.43236365783645
0.8624.41874513388230.44219621075639
0.8724.57572304809110.422977606343349
0.8824.72011527699850.367388531605674
0.8924.84347207252390.290229320777226
0.924.94855623005140.226791166758037
0.9125.05431312134160.224989878670907
0.9225.19343190204260.309714534642094
0.9325.40116959484130.451657587124209
0.9425.69916658915720.595055683893604
0.9526.08377293482540.683078389458287
0.9626.53176974187590.688126351466342
0.9727.02842084513640.64967994812047
0.9827.59517610998390.612110044671942
0.9928.31215431880880.626467901921837

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.43631783427806 & 0.879645681210027 \tabularnewline
0.02 & 4.71987966752287 & 2.03686422579264 \tabularnewline
0.03 & 6.60837490159974 & 2.72929229701354 \tabularnewline
0.04 & 8.5780913295861 & 2.63604674626602 \tabularnewline
0.05 & 10.233763983049 & 2.18010479455507 \tabularnewline
0.06 & 11.4883635187736 & 1.7573701712337 \tabularnewline
0.07 & 12.4289852870573 & 1.46304722239352 \tabularnewline
0.08 & 13.1593610454767 & 1.2585449499377 \tabularnewline
0.09 & 13.7476262361244 & 1.09811976769896 \tabularnewline
0.1 & 14.2318789961453 & 0.960589782494274 \tabularnewline
0.11 & 14.6347065266472 & 0.840672795801702 \tabularnewline
0.12 & 14.9713118132923 & 0.734660350335986 \tabularnewline
0.13 & 15.251922433438 & 0.634879784881567 \tabularnewline
0.14 & 15.4828844841405 & 0.534756194204756 \tabularnewline
0.15 & 15.6691617931586 & 0.43715676295733 \tabularnewline
0.16 & 15.8178317629782 & 0.3568069535018 \tabularnewline
0.17 & 15.9404258115461 & 0.315224226757632 \tabularnewline
0.18 & 16.0525351486588 & 0.329165059003965 \tabularnewline
0.19 & 16.1708736648282 & 0.396020495732997 \tabularnewline
0.2 & 16.3093255692994 & 0.496214875963683 \tabularnewline
0.21 & 16.475720179579 & 0.604932815311175 \tabularnewline
0.22 & 16.6704816042476 & 0.698834535555921 \tabularnewline
0.23 & 16.8874508964789 & 0.76084135905 \tabularnewline
0.24 & 17.116410502573 & 0.783751391878208 \tabularnewline
0.25 & 17.346319844749 & 0.770951584068445 \tabularnewline
0.26 & 17.5681193047029 & 0.733504318245403 \tabularnewline
0.27 & 17.7762339249483 & 0.68499164758251 \tabularnewline
0.28 & 17.9685058641973 & 0.63598157411213 \tabularnewline
0.29 & 18.1449443223193 & 0.590547082010312 \tabularnewline
0.3 & 18.3061032438954 & 0.54636056167166 \tabularnewline
0.31 & 18.4519050281479 & 0.498132266866653 \tabularnewline
0.32 & 18.5813663271799 & 0.442057476161393 \tabularnewline
0.33 & 18.6931767722062 & 0.378497816280096 \tabularnewline
0.34 & 18.7867008703287 & 0.312279914956164 \tabularnewline
0.35 & 18.8628723574172 & 0.251095667566525 \tabularnewline
0.36 & 18.9246061927782 & 0.203595751793452 \tabularnewline
0.37 & 18.9766189645681 & 0.177652754937816 \tabularnewline
0.38 & 19.0247685644895 & 0.178094124384672 \tabularnewline
0.39 & 19.0751259126245 & 0.203683197786682 \tabularnewline
0.4 & 19.1329969608507 & 0.247644415284591 \tabularnewline
0.41 & 19.2020845985668 & 0.300960883079146 \tabularnewline
0.42 & 19.2839563640999 & 0.354311062459973 \tabularnewline
0.43 & 19.3779546512611 & 0.399333439162411 \tabularnewline
0.44 & 19.4816150772189 & 0.430263183546273 \tabularnewline
0.45 & 19.5915295389899 & 0.445614054341259 \tabularnewline
0.46 & 19.7044363202986 & 0.448479020296433 \tabularnewline
0.47 & 19.818212514639 & 0.445754356003578 \tabularnewline
0.48 & 19.9324516715981 & 0.445950361684052 \tabularnewline
0.49 & 20.0484485663359 & 0.4560345122624 \tabularnewline
0.5 & 20.1686310080103 & 0.47897643233804 \tabularnewline
0.51 & 20.2956782842659 & 0.512894484357441 \tabularnewline
0.52 & 20.4316569468865 & 0.552585311038804 \tabularnewline
0.53 & 20.5774532235393 & 0.591933797464146 \tabularnewline
0.54 & 20.7326262755806 & 0.625802120675549 \tabularnewline
0.55 & 20.8956334945666 & 0.650935396711475 \tabularnewline
0.56 & 21.0642683443459 & 0.666159487911071 \tabularnewline
0.57 & 21.2361332217095 & 0.671797733366207 \tabularnewline
0.58 & 21.4090169687809 & 0.669255598706619 \tabularnewline
0.59 & 21.5811062968923 & 0.660420858682489 \tabularnewline
0.6 & 21.7510001937666 & 0.646995791147842 \tabularnewline
0.61 & 21.9175255251169 & 0.629921545018844 \tabularnewline
0.62 & 22.0793999442105 & 0.608480834532788 \tabularnewline
0.63 & 22.234861617588 & 0.580293943956556 \tabularnewline
0.64 & 22.3814455456066 & 0.54209005087416 \tabularnewline
0.65 & 22.5160734751532 & 0.491459582427144 \tabularnewline
0.66 & 22.6355116849961 & 0.428495092506885 \tabularnewline
0.67 & 22.7370813803918 & 0.356501981968875 \tabularnewline
0.68 & 22.8193755061644 & 0.281381147363128 \tabularnewline
0.69 & 22.8827272303693 & 0.210209589559597 \tabularnewline
0.7 & 22.9292994481979 & 0.149529679531514 \tabularnewline
0.71 & 22.9628466766995 & 0.10434954270949 \tabularnewline
0.72 & 22.9883278324398 & 0.0787238228007451 \tabularnewline
0.73 & 23.0115408526032 & 0.0769138877451229 \tabularnewline
0.74 & 23.0388115055879 & 0.100288475964937 \tabularnewline
0.75 & 23.0765909622441 & 0.145649224145564 \tabularnewline
0.76 & 23.130740262882 & 0.208010316195688 \tabularnewline
0.77 & 23.2054192008497 & 0.279244920448394 \tabularnewline
0.78 & 23.301849003742 & 0.347618357893508 \tabularnewline
0.79 & 23.4175980505764 & 0.400112439730469 \tabularnewline
0.8 & 23.5471246092165 & 0.4276861270635 \tabularnewline
0.81 & 23.6838358554243 & 0.43019206743944 \tabularnewline
0.82 & 23.8229600754771 & 0.418211017623152 \tabularnewline
0.83 & 23.9636256312244 & 0.40887073077661 \tabularnewline
0.84 & 24.1084924627832 & 0.414772101895453 \tabularnewline
0.85 & 24.2605450402013 & 0.43236365783645 \tabularnewline
0.86 & 24.4187451338823 & 0.44219621075639 \tabularnewline
0.87 & 24.5757230480911 & 0.422977606343349 \tabularnewline
0.88 & 24.7201152769985 & 0.367388531605674 \tabularnewline
0.89 & 24.8434720725239 & 0.290229320777226 \tabularnewline
0.9 & 24.9485562300514 & 0.226791166758037 \tabularnewline
0.91 & 25.0543131213416 & 0.224989878670907 \tabularnewline
0.92 & 25.1934319020426 & 0.309714534642094 \tabularnewline
0.93 & 25.4011695948413 & 0.451657587124209 \tabularnewline
0.94 & 25.6991665891572 & 0.595055683893604 \tabularnewline
0.95 & 26.0837729348254 & 0.683078389458287 \tabularnewline
0.96 & 26.5317697418759 & 0.688126351466342 \tabularnewline
0.97 & 27.0284208451364 & 0.64967994812047 \tabularnewline
0.98 & 27.5951761099839 & 0.612110044671942 \tabularnewline
0.99 & 28.3121543188088 & 0.626467901921837 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264138&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]3.43631783427806[/C][C]0.879645681210027[/C][/ROW]
[ROW][C]0.02[/C][C]4.71987966752287[/C][C]2.03686422579264[/C][/ROW]
[ROW][C]0.03[/C][C]6.60837490159974[/C][C]2.72929229701354[/C][/ROW]
[ROW][C]0.04[/C][C]8.5780913295861[/C][C]2.63604674626602[/C][/ROW]
[ROW][C]0.05[/C][C]10.233763983049[/C][C]2.18010479455507[/C][/ROW]
[ROW][C]0.06[/C][C]11.4883635187736[/C][C]1.7573701712337[/C][/ROW]
[ROW][C]0.07[/C][C]12.4289852870573[/C][C]1.46304722239352[/C][/ROW]
[ROW][C]0.08[/C][C]13.1593610454767[/C][C]1.2585449499377[/C][/ROW]
[ROW][C]0.09[/C][C]13.7476262361244[/C][C]1.09811976769896[/C][/ROW]
[ROW][C]0.1[/C][C]14.2318789961453[/C][C]0.960589782494274[/C][/ROW]
[ROW][C]0.11[/C][C]14.6347065266472[/C][C]0.840672795801702[/C][/ROW]
[ROW][C]0.12[/C][C]14.9713118132923[/C][C]0.734660350335986[/C][/ROW]
[ROW][C]0.13[/C][C]15.251922433438[/C][C]0.634879784881567[/C][/ROW]
[ROW][C]0.14[/C][C]15.4828844841405[/C][C]0.534756194204756[/C][/ROW]
[ROW][C]0.15[/C][C]15.6691617931586[/C][C]0.43715676295733[/C][/ROW]
[ROW][C]0.16[/C][C]15.8178317629782[/C][C]0.3568069535018[/C][/ROW]
[ROW][C]0.17[/C][C]15.9404258115461[/C][C]0.315224226757632[/C][/ROW]
[ROW][C]0.18[/C][C]16.0525351486588[/C][C]0.329165059003965[/C][/ROW]
[ROW][C]0.19[/C][C]16.1708736648282[/C][C]0.396020495732997[/C][/ROW]
[ROW][C]0.2[/C][C]16.3093255692994[/C][C]0.496214875963683[/C][/ROW]
[ROW][C]0.21[/C][C]16.475720179579[/C][C]0.604932815311175[/C][/ROW]
[ROW][C]0.22[/C][C]16.6704816042476[/C][C]0.698834535555921[/C][/ROW]
[ROW][C]0.23[/C][C]16.8874508964789[/C][C]0.76084135905[/C][/ROW]
[ROW][C]0.24[/C][C]17.116410502573[/C][C]0.783751391878208[/C][/ROW]
[ROW][C]0.25[/C][C]17.346319844749[/C][C]0.770951584068445[/C][/ROW]
[ROW][C]0.26[/C][C]17.5681193047029[/C][C]0.733504318245403[/C][/ROW]
[ROW][C]0.27[/C][C]17.7762339249483[/C][C]0.68499164758251[/C][/ROW]
[ROW][C]0.28[/C][C]17.9685058641973[/C][C]0.63598157411213[/C][/ROW]
[ROW][C]0.29[/C][C]18.1449443223193[/C][C]0.590547082010312[/C][/ROW]
[ROW][C]0.3[/C][C]18.3061032438954[/C][C]0.54636056167166[/C][/ROW]
[ROW][C]0.31[/C][C]18.4519050281479[/C][C]0.498132266866653[/C][/ROW]
[ROW][C]0.32[/C][C]18.5813663271799[/C][C]0.442057476161393[/C][/ROW]
[ROW][C]0.33[/C][C]18.6931767722062[/C][C]0.378497816280096[/C][/ROW]
[ROW][C]0.34[/C][C]18.7867008703287[/C][C]0.312279914956164[/C][/ROW]
[ROW][C]0.35[/C][C]18.8628723574172[/C][C]0.251095667566525[/C][/ROW]
[ROW][C]0.36[/C][C]18.9246061927782[/C][C]0.203595751793452[/C][/ROW]
[ROW][C]0.37[/C][C]18.9766189645681[/C][C]0.177652754937816[/C][/ROW]
[ROW][C]0.38[/C][C]19.0247685644895[/C][C]0.178094124384672[/C][/ROW]
[ROW][C]0.39[/C][C]19.0751259126245[/C][C]0.203683197786682[/C][/ROW]
[ROW][C]0.4[/C][C]19.1329969608507[/C][C]0.247644415284591[/C][/ROW]
[ROW][C]0.41[/C][C]19.2020845985668[/C][C]0.300960883079146[/C][/ROW]
[ROW][C]0.42[/C][C]19.2839563640999[/C][C]0.354311062459973[/C][/ROW]
[ROW][C]0.43[/C][C]19.3779546512611[/C][C]0.399333439162411[/C][/ROW]
[ROW][C]0.44[/C][C]19.4816150772189[/C][C]0.430263183546273[/C][/ROW]
[ROW][C]0.45[/C][C]19.5915295389899[/C][C]0.445614054341259[/C][/ROW]
[ROW][C]0.46[/C][C]19.7044363202986[/C][C]0.448479020296433[/C][/ROW]
[ROW][C]0.47[/C][C]19.818212514639[/C][C]0.445754356003578[/C][/ROW]
[ROW][C]0.48[/C][C]19.9324516715981[/C][C]0.445950361684052[/C][/ROW]
[ROW][C]0.49[/C][C]20.0484485663359[/C][C]0.4560345122624[/C][/ROW]
[ROW][C]0.5[/C][C]20.1686310080103[/C][C]0.47897643233804[/C][/ROW]
[ROW][C]0.51[/C][C]20.2956782842659[/C][C]0.512894484357441[/C][/ROW]
[ROW][C]0.52[/C][C]20.4316569468865[/C][C]0.552585311038804[/C][/ROW]
[ROW][C]0.53[/C][C]20.5774532235393[/C][C]0.591933797464146[/C][/ROW]
[ROW][C]0.54[/C][C]20.7326262755806[/C][C]0.625802120675549[/C][/ROW]
[ROW][C]0.55[/C][C]20.8956334945666[/C][C]0.650935396711475[/C][/ROW]
[ROW][C]0.56[/C][C]21.0642683443459[/C][C]0.666159487911071[/C][/ROW]
[ROW][C]0.57[/C][C]21.2361332217095[/C][C]0.671797733366207[/C][/ROW]
[ROW][C]0.58[/C][C]21.4090169687809[/C][C]0.669255598706619[/C][/ROW]
[ROW][C]0.59[/C][C]21.5811062968923[/C][C]0.660420858682489[/C][/ROW]
[ROW][C]0.6[/C][C]21.7510001937666[/C][C]0.646995791147842[/C][/ROW]
[ROW][C]0.61[/C][C]21.9175255251169[/C][C]0.629921545018844[/C][/ROW]
[ROW][C]0.62[/C][C]22.0793999442105[/C][C]0.608480834532788[/C][/ROW]
[ROW][C]0.63[/C][C]22.234861617588[/C][C]0.580293943956556[/C][/ROW]
[ROW][C]0.64[/C][C]22.3814455456066[/C][C]0.54209005087416[/C][/ROW]
[ROW][C]0.65[/C][C]22.5160734751532[/C][C]0.491459582427144[/C][/ROW]
[ROW][C]0.66[/C][C]22.6355116849961[/C][C]0.428495092506885[/C][/ROW]
[ROW][C]0.67[/C][C]22.7370813803918[/C][C]0.356501981968875[/C][/ROW]
[ROW][C]0.68[/C][C]22.8193755061644[/C][C]0.281381147363128[/C][/ROW]
[ROW][C]0.69[/C][C]22.8827272303693[/C][C]0.210209589559597[/C][/ROW]
[ROW][C]0.7[/C][C]22.9292994481979[/C][C]0.149529679531514[/C][/ROW]
[ROW][C]0.71[/C][C]22.9628466766995[/C][C]0.10434954270949[/C][/ROW]
[ROW][C]0.72[/C][C]22.9883278324398[/C][C]0.0787238228007451[/C][/ROW]
[ROW][C]0.73[/C][C]23.0115408526032[/C][C]0.0769138877451229[/C][/ROW]
[ROW][C]0.74[/C][C]23.0388115055879[/C][C]0.100288475964937[/C][/ROW]
[ROW][C]0.75[/C][C]23.0765909622441[/C][C]0.145649224145564[/C][/ROW]
[ROW][C]0.76[/C][C]23.130740262882[/C][C]0.208010316195688[/C][/ROW]
[ROW][C]0.77[/C][C]23.2054192008497[/C][C]0.279244920448394[/C][/ROW]
[ROW][C]0.78[/C][C]23.301849003742[/C][C]0.347618357893508[/C][/ROW]
[ROW][C]0.79[/C][C]23.4175980505764[/C][C]0.400112439730469[/C][/ROW]
[ROW][C]0.8[/C][C]23.5471246092165[/C][C]0.4276861270635[/C][/ROW]
[ROW][C]0.81[/C][C]23.6838358554243[/C][C]0.43019206743944[/C][/ROW]
[ROW][C]0.82[/C][C]23.8229600754771[/C][C]0.418211017623152[/C][/ROW]
[ROW][C]0.83[/C][C]23.9636256312244[/C][C]0.40887073077661[/C][/ROW]
[ROW][C]0.84[/C][C]24.1084924627832[/C][C]0.414772101895453[/C][/ROW]
[ROW][C]0.85[/C][C]24.2605450402013[/C][C]0.43236365783645[/C][/ROW]
[ROW][C]0.86[/C][C]24.4187451338823[/C][C]0.44219621075639[/C][/ROW]
[ROW][C]0.87[/C][C]24.5757230480911[/C][C]0.422977606343349[/C][/ROW]
[ROW][C]0.88[/C][C]24.7201152769985[/C][C]0.367388531605674[/C][/ROW]
[ROW][C]0.89[/C][C]24.8434720725239[/C][C]0.290229320777226[/C][/ROW]
[ROW][C]0.9[/C][C]24.9485562300514[/C][C]0.226791166758037[/C][/ROW]
[ROW][C]0.91[/C][C]25.0543131213416[/C][C]0.224989878670907[/C][/ROW]
[ROW][C]0.92[/C][C]25.1934319020426[/C][C]0.309714534642094[/C][/ROW]
[ROW][C]0.93[/C][C]25.4011695948413[/C][C]0.451657587124209[/C][/ROW]
[ROW][C]0.94[/C][C]25.6991665891572[/C][C]0.595055683893604[/C][/ROW]
[ROW][C]0.95[/C][C]26.0837729348254[/C][C]0.683078389458287[/C][/ROW]
[ROW][C]0.96[/C][C]26.5317697418759[/C][C]0.688126351466342[/C][/ROW]
[ROW][C]0.97[/C][C]27.0284208451364[/C][C]0.64967994812047[/C][/ROW]
[ROW][C]0.98[/C][C]27.5951761099839[/C][C]0.612110044671942[/C][/ROW]
[ROW][C]0.99[/C][C]28.3121543188088[/C][C]0.626467901921837[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264138&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
0.013.436317834278060.879645681210027
0.024.719879667522872.03686422579264
0.036.608374901599742.72929229701354
0.048.57809132958612.63604674626602
0.0510.2337639830492.18010479455507
0.0611.48836351877361.7573701712337
0.0712.42898528705731.46304722239352
0.0813.15936104547671.2585449499377
0.0913.74762623612441.09811976769896
0.114.23187899614530.960589782494274
0.1114.63470652664720.840672795801702
0.1214.97131181329230.734660350335986
0.1315.2519224334380.634879784881567
0.1415.48288448414050.534756194204756
0.1515.66916179315860.43715676295733
0.1615.81783176297820.3568069535018
0.1715.94042581154610.315224226757632
0.1816.05253514865880.329165059003965
0.1916.17087366482820.396020495732997
0.216.30932556929940.496214875963683
0.2116.4757201795790.604932815311175
0.2216.67048160424760.698834535555921
0.2316.88745089647890.76084135905
0.2417.1164105025730.783751391878208
0.2517.3463198447490.770951584068445
0.2617.56811930470290.733504318245403
0.2717.77623392494830.68499164758251
0.2817.96850586419730.63598157411213
0.2918.14494432231930.590547082010312
0.318.30610324389540.54636056167166
0.3118.45190502814790.498132266866653
0.3218.58136632717990.442057476161393
0.3318.69317677220620.378497816280096
0.3418.78670087032870.312279914956164
0.3518.86287235741720.251095667566525
0.3618.92460619277820.203595751793452
0.3718.97661896456810.177652754937816
0.3819.02476856448950.178094124384672
0.3919.07512591262450.203683197786682
0.419.13299696085070.247644415284591
0.4119.20208459856680.300960883079146
0.4219.28395636409990.354311062459973
0.4319.37795465126110.399333439162411
0.4419.48161507721890.430263183546273
0.4519.59152953898990.445614054341259
0.4619.70443632029860.448479020296433
0.4719.8182125146390.445754356003578
0.4819.93245167159810.445950361684052
0.4920.04844856633590.4560345122624
0.520.16863100801030.47897643233804
0.5120.29567828426590.512894484357441
0.5220.43165694688650.552585311038804
0.5320.57745322353930.591933797464146
0.5420.73262627558060.625802120675549
0.5520.89563349456660.650935396711475
0.5621.06426834434590.666159487911071
0.5721.23613322170950.671797733366207
0.5821.40901696878090.669255598706619
0.5921.58110629689230.660420858682489
0.621.75100019376660.646995791147842
0.6121.91752552511690.629921545018844
0.6222.07939994421050.608480834532788
0.6322.2348616175880.580293943956556
0.6422.38144554560660.54209005087416
0.6522.51607347515320.491459582427144
0.6622.63551168499610.428495092506885
0.6722.73708138039180.356501981968875
0.6822.81937550616440.281381147363128
0.6922.88272723036930.210209589559597
0.722.92929944819790.149529679531514
0.7122.96284667669950.10434954270949
0.7222.98832783243980.0787238228007451
0.7323.01154085260320.0769138877451229
0.7423.03881150558790.100288475964937
0.7523.07659096224410.145649224145564
0.7623.1307402628820.208010316195688
0.7723.20541920084970.279244920448394
0.7823.3018490037420.347618357893508
0.7923.41759805057640.400112439730469
0.823.54712460921650.4276861270635
0.8123.68383585542430.43019206743944
0.8223.82296007547710.418211017623152
0.8323.96362563122440.40887073077661
0.8424.10849246278320.414772101895453
0.8524.26054504020130.43236365783645
0.8624.41874513388230.44219621075639
0.8724.57572304809110.422977606343349
0.8824.72011527699850.367388531605674
0.8924.84347207252390.290229320777226
0.924.94855623005140.226791166758037
0.9125.05431312134160.224989878670907
0.9225.19343190204260.309714534642094
0.9325.40116959484130.451657587124209
0.9425.69916658915720.595055683893604
0.9526.08377293482540.683078389458287
0.9626.53176974187590.688126351466342
0.9727.02842084513640.64967994812047
0.9827.59517610998390.612110044671942
0.9928.31215431880880.626467901921837


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')