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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 computationTue, 26 Feb 2013 17:59:45 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t13619196168sjo9bli079rigs.htm/, Retrieved Sun, 05 May 2024 00:55:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207154, Retrieved Sun, 05 May 2024 00:55:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2013-02-26 22:43:00] [2350abd9e4ab4c416741d11e9cf0d058]
-   PD  [Harrell-Davis Quantiles] [] [2013-02-26 22:57:24] [2350abd9e4ab4c416741d11e9cf0d058]
- R PD      [Harrell-Davis Quantiles] [] [2013-02-26 22:59:45] [f5344c9d857de7b42142f71fd8a100cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
530.3
527.76
521.41
1601.93
1577.49
1551.43
1551.43
1516.88
1485.95
1438.22
1385.06
1329.49
1329.49
1276.16
1242.34
1181.59
1160.21
1135.18
1135.18
1084.96
1077.35
1061.13
1029.98
1013.08
1013.08
996.04
975.02
951.89
944.4
932.47
932.47
920.44
900.18
886.9
867.74
859.03
859.03
844.99
834.82
825.62
816.92
813.21
813.21
811.03
804.16
788.62
778.76
765.91
765.91
753.85
742.22
732.11
729.94
731.22
731.22
729.11
726.94
720.52
709.36
703.21
703.21
695.88
681.63
672.1
665.49
658.93
658.93
656
650.66
645.93
638.74
634.67

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207154&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207154&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01525.91891305137913.1172464090097
0.02536.38048709341828.5489588856605
0.03552.6430819672843.2975127669917
0.04572.57757366347450.0113948652821
0.05593.03643283676947.5136590855939
0.06611.29516087030239.2482856671797
0.07625.94454868420929.6233830478477
0.08636.89573282910521.6268143325875
0.09644.86195467736316.3936039797051
0.1650.80157452125513.7894230629756
0.11655.57084107888513.1209382546675
0.12659.79699028378313.6619456171741
0.13663.8819666532714.8649930945177
0.14668.05230254847916.3487737131808
0.15672.41035513236417.8349772645794
0.16676.97390071067919.1166642891989
0.17681.70543960639320.0588643296785
0.18686.53513738333220.5981760394647
0.19691.37955346706320.7283487584089
0.2696.15649205229820.4952423306464
0.21700.79572191434819.9754013747358
0.22705.245645006919.2602481108264
0.23709.47655422740318.4455662418541
0.24713.48141951857617.6330817628385
0.25717.27504503281316.9207751014852
0.26720.89208484072416.408970599795
0.27724.38403105446216.1909869342173
0.28727.81509254965216.3402584059158
0.29731.2569365321216.8929060384578
0.3734.78251266993717.840143467312
0.31738.459487024119.1263888152874
0.32742.3440402236520.6581888666927
0.33746.47584011511622.3231483346138
0.34750.87486556580524.0022305246817
0.35755.5404815639825.5834831284746
0.36760.4528269509426.9722789087472
0.37765.57625606970328.0973245311675
0.38770.86433120655828.9196232523506
0.39776.26571809674429.431126687367
0.4781.73028905036729.6576999837815
0.41787.21477041697229.6543587626771
0.42792.68736432439629.4974898552808
0.43798.13091441997529.2832612646292
0.44803.5443605697929.10797224592
0.45808.94242516154929.0677253358621
0.46814.3536744698829.2390100929766
0.47819.81727674699829.6726248724492
0.48825.37890758222130.3890798323569
0.49831.08631341617431.3820989452511
0.5836.98503141763232.6154572597102
0.51843.11469049366534.0379546723053
0.52849.50620828567535.5850407285819
0.53856.1800792746537.1894776034279
0.54863.1458385098838.7851563254319
0.55870.40268943162840.3119059249467
0.56877.94119631209441.7237752244429
0.57885.74585189930942.9890400849659
0.58893.79823607705244.1001429550957
0.59902.08039375671945.0693552264001
0.6910.57800612482845.9278342143856
0.61919.28293962381646.7224139129171
0.62928.1948514311547.5053823893092
0.63937.32170330576648.326803486378
0.64946.67925184060749.2243857659514
0.65956.28978503944250.2251784626455
0.66966.18050412327251.3390877849108
0.67976.38197017485952.5658687886663
0.68986.92695252189953.9017241758373
0.69997.84987463124955.344015995853
0.71009.186918505756.8911063781346
0.711020.9767708400158.5472378796087
0.721033.2619779986560.3214096294352
0.731046.090868361762.2250519350196
0.741059.5199085457364.2808680473466
0.751073.6161100577366.521813983045
0.761088.4587068205468.9926753129808
0.771104.1389295317371.7427059751698
0.781120.7565834570274.8024006310575
0.791138.4125914522778.1623071965121
0.81157.1978375266881.742485116236
0.811177.1803259611185.3778935740088
0.821198.3941885727188.838015510433
0.831220.8344383014591.8709938450538
0.841244.45970724594.2678417571411
0.851269.2014061616995.9185501652646
0.861294.972971586496.8217753819945
0.871321.669551576697.0257971263172
0.881349.1494067599696.5177862311536
0.891377.1950659660295.1000828166318
0.91405.4639385704692.352183905504
0.911433.4510686745987.7266518707448
0.921460.496016701480.7651841828126
0.931485.8660403790871.3681527213597
0.941508.9318909796160.0322945069705
0.951529.4102288971847.9851680474375
0.961547.5656841164537.0897164000357
0.971564.1443431495429.2454301666485
0.981579.716020187625.1339130189587
0.991593.3613072454523.8704104691691

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 525.918913051379 & 13.1172464090097 \tabularnewline
0.02 & 536.380487093418 & 28.5489588856605 \tabularnewline
0.03 & 552.64308196728 & 43.2975127669917 \tabularnewline
0.04 & 572.577573663474 & 50.0113948652821 \tabularnewline
0.05 & 593.036432836769 & 47.5136590855939 \tabularnewline
0.06 & 611.295160870302 & 39.2482856671797 \tabularnewline
0.07 & 625.944548684209 & 29.6233830478477 \tabularnewline
0.08 & 636.895732829105 & 21.6268143325875 \tabularnewline
0.09 & 644.861954677363 & 16.3936039797051 \tabularnewline
0.1 & 650.801574521255 & 13.7894230629756 \tabularnewline
0.11 & 655.570841078885 & 13.1209382546675 \tabularnewline
0.12 & 659.796990283783 & 13.6619456171741 \tabularnewline
0.13 & 663.88196665327 & 14.8649930945177 \tabularnewline
0.14 & 668.052302548479 & 16.3487737131808 \tabularnewline
0.15 & 672.410355132364 & 17.8349772645794 \tabularnewline
0.16 & 676.973900710679 & 19.1166642891989 \tabularnewline
0.17 & 681.705439606393 & 20.0588643296785 \tabularnewline
0.18 & 686.535137383332 & 20.5981760394647 \tabularnewline
0.19 & 691.379553467063 & 20.7283487584089 \tabularnewline
0.2 & 696.156492052298 & 20.4952423306464 \tabularnewline
0.21 & 700.795721914348 & 19.9754013747358 \tabularnewline
0.22 & 705.2456450069 & 19.2602481108264 \tabularnewline
0.23 & 709.476554227403 & 18.4455662418541 \tabularnewline
0.24 & 713.481419518576 & 17.6330817628385 \tabularnewline
0.25 & 717.275045032813 & 16.9207751014852 \tabularnewline
0.26 & 720.892084840724 & 16.408970599795 \tabularnewline
0.27 & 724.384031054462 & 16.1909869342173 \tabularnewline
0.28 & 727.815092549652 & 16.3402584059158 \tabularnewline
0.29 & 731.25693653212 & 16.8929060384578 \tabularnewline
0.3 & 734.782512669937 & 17.840143467312 \tabularnewline
0.31 & 738.4594870241 & 19.1263888152874 \tabularnewline
0.32 & 742.34404022365 & 20.6581888666927 \tabularnewline
0.33 & 746.475840115116 & 22.3231483346138 \tabularnewline
0.34 & 750.874865565805 & 24.0022305246817 \tabularnewline
0.35 & 755.54048156398 & 25.5834831284746 \tabularnewline
0.36 & 760.45282695094 & 26.9722789087472 \tabularnewline
0.37 & 765.576256069703 & 28.0973245311675 \tabularnewline
0.38 & 770.864331206558 & 28.9196232523506 \tabularnewline
0.39 & 776.265718096744 & 29.431126687367 \tabularnewline
0.4 & 781.730289050367 & 29.6576999837815 \tabularnewline
0.41 & 787.214770416972 & 29.6543587626771 \tabularnewline
0.42 & 792.687364324396 & 29.4974898552808 \tabularnewline
0.43 & 798.130914419975 & 29.2832612646292 \tabularnewline
0.44 & 803.54436056979 & 29.10797224592 \tabularnewline
0.45 & 808.942425161549 & 29.0677253358621 \tabularnewline
0.46 & 814.35367446988 & 29.2390100929766 \tabularnewline
0.47 & 819.817276746998 & 29.6726248724492 \tabularnewline
0.48 & 825.378907582221 & 30.3890798323569 \tabularnewline
0.49 & 831.086313416174 & 31.3820989452511 \tabularnewline
0.5 & 836.985031417632 & 32.6154572597102 \tabularnewline
0.51 & 843.114690493665 & 34.0379546723053 \tabularnewline
0.52 & 849.506208285675 & 35.5850407285819 \tabularnewline
0.53 & 856.18007927465 & 37.1894776034279 \tabularnewline
0.54 & 863.14583850988 & 38.7851563254319 \tabularnewline
0.55 & 870.402689431628 & 40.3119059249467 \tabularnewline
0.56 & 877.941196312094 & 41.7237752244429 \tabularnewline
0.57 & 885.745851899309 & 42.9890400849659 \tabularnewline
0.58 & 893.798236077052 & 44.1001429550957 \tabularnewline
0.59 & 902.080393756719 & 45.0693552264001 \tabularnewline
0.6 & 910.578006124828 & 45.9278342143856 \tabularnewline
0.61 & 919.282939623816 & 46.7224139129171 \tabularnewline
0.62 & 928.19485143115 & 47.5053823893092 \tabularnewline
0.63 & 937.321703305766 & 48.326803486378 \tabularnewline
0.64 & 946.679251840607 & 49.2243857659514 \tabularnewline
0.65 & 956.289785039442 & 50.2251784626455 \tabularnewline
0.66 & 966.180504123272 & 51.3390877849108 \tabularnewline
0.67 & 976.381970174859 & 52.5658687886663 \tabularnewline
0.68 & 986.926952521899 & 53.9017241758373 \tabularnewline
0.69 & 997.849874631249 & 55.344015995853 \tabularnewline
0.7 & 1009.1869185057 & 56.8911063781346 \tabularnewline
0.71 & 1020.97677084001 & 58.5472378796087 \tabularnewline
0.72 & 1033.26197799865 & 60.3214096294352 \tabularnewline
0.73 & 1046.0908683617 & 62.2250519350196 \tabularnewline
0.74 & 1059.51990854573 & 64.2808680473466 \tabularnewline
0.75 & 1073.61611005773 & 66.521813983045 \tabularnewline
0.76 & 1088.45870682054 & 68.9926753129808 \tabularnewline
0.77 & 1104.13892953173 & 71.7427059751698 \tabularnewline
0.78 & 1120.75658345702 & 74.8024006310575 \tabularnewline
0.79 & 1138.41259145227 & 78.1623071965121 \tabularnewline
0.8 & 1157.19783752668 & 81.742485116236 \tabularnewline
0.81 & 1177.18032596111 & 85.3778935740088 \tabularnewline
0.82 & 1198.39418857271 & 88.838015510433 \tabularnewline
0.83 & 1220.83443830145 & 91.8709938450538 \tabularnewline
0.84 & 1244.459707245 & 94.2678417571411 \tabularnewline
0.85 & 1269.20140616169 & 95.9185501652646 \tabularnewline
0.86 & 1294.9729715864 & 96.8217753819945 \tabularnewline
0.87 & 1321.6695515766 & 97.0257971263172 \tabularnewline
0.88 & 1349.14940675996 & 96.5177862311536 \tabularnewline
0.89 & 1377.19506596602 & 95.1000828166318 \tabularnewline
0.9 & 1405.46393857046 & 92.352183905504 \tabularnewline
0.91 & 1433.45106867459 & 87.7266518707448 \tabularnewline
0.92 & 1460.4960167014 & 80.7651841828126 \tabularnewline
0.93 & 1485.86604037908 & 71.3681527213597 \tabularnewline
0.94 & 1508.93189097961 & 60.0322945069705 \tabularnewline
0.95 & 1529.41022889718 & 47.9851680474375 \tabularnewline
0.96 & 1547.56568411645 & 37.0897164000357 \tabularnewline
0.97 & 1564.14434314954 & 29.2454301666485 \tabularnewline
0.98 & 1579.7160201876 & 25.1339130189587 \tabularnewline
0.99 & 1593.36130724545 & 23.8704104691691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207154&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]525.918913051379[/C][C]13.1172464090097[/C][/ROW]
[ROW][C]0.02[/C][C]536.380487093418[/C][C]28.5489588856605[/C][/ROW]
[ROW][C]0.03[/C][C]552.64308196728[/C][C]43.2975127669917[/C][/ROW]
[ROW][C]0.04[/C][C]572.577573663474[/C][C]50.0113948652821[/C][/ROW]
[ROW][C]0.05[/C][C]593.036432836769[/C][C]47.5136590855939[/C][/ROW]
[ROW][C]0.06[/C][C]611.295160870302[/C][C]39.2482856671797[/C][/ROW]
[ROW][C]0.07[/C][C]625.944548684209[/C][C]29.6233830478477[/C][/ROW]
[ROW][C]0.08[/C][C]636.895732829105[/C][C]21.6268143325875[/C][/ROW]
[ROW][C]0.09[/C][C]644.861954677363[/C][C]16.3936039797051[/C][/ROW]
[ROW][C]0.1[/C][C]650.801574521255[/C][C]13.7894230629756[/C][/ROW]
[ROW][C]0.11[/C][C]655.570841078885[/C][C]13.1209382546675[/C][/ROW]
[ROW][C]0.12[/C][C]659.796990283783[/C][C]13.6619456171741[/C][/ROW]
[ROW][C]0.13[/C][C]663.88196665327[/C][C]14.8649930945177[/C][/ROW]
[ROW][C]0.14[/C][C]668.052302548479[/C][C]16.3487737131808[/C][/ROW]
[ROW][C]0.15[/C][C]672.410355132364[/C][C]17.8349772645794[/C][/ROW]
[ROW][C]0.16[/C][C]676.973900710679[/C][C]19.1166642891989[/C][/ROW]
[ROW][C]0.17[/C][C]681.705439606393[/C][C]20.0588643296785[/C][/ROW]
[ROW][C]0.18[/C][C]686.535137383332[/C][C]20.5981760394647[/C][/ROW]
[ROW][C]0.19[/C][C]691.379553467063[/C][C]20.7283487584089[/C][/ROW]
[ROW][C]0.2[/C][C]696.156492052298[/C][C]20.4952423306464[/C][/ROW]
[ROW][C]0.21[/C][C]700.795721914348[/C][C]19.9754013747358[/C][/ROW]
[ROW][C]0.22[/C][C]705.2456450069[/C][C]19.2602481108264[/C][/ROW]
[ROW][C]0.23[/C][C]709.476554227403[/C][C]18.4455662418541[/C][/ROW]
[ROW][C]0.24[/C][C]713.481419518576[/C][C]17.6330817628385[/C][/ROW]
[ROW][C]0.25[/C][C]717.275045032813[/C][C]16.9207751014852[/C][/ROW]
[ROW][C]0.26[/C][C]720.892084840724[/C][C]16.408970599795[/C][/ROW]
[ROW][C]0.27[/C][C]724.384031054462[/C][C]16.1909869342173[/C][/ROW]
[ROW][C]0.28[/C][C]727.815092549652[/C][C]16.3402584059158[/C][/ROW]
[ROW][C]0.29[/C][C]731.25693653212[/C][C]16.8929060384578[/C][/ROW]
[ROW][C]0.3[/C][C]734.782512669937[/C][C]17.840143467312[/C][/ROW]
[ROW][C]0.31[/C][C]738.4594870241[/C][C]19.1263888152874[/C][/ROW]
[ROW][C]0.32[/C][C]742.34404022365[/C][C]20.6581888666927[/C][/ROW]
[ROW][C]0.33[/C][C]746.475840115116[/C][C]22.3231483346138[/C][/ROW]
[ROW][C]0.34[/C][C]750.874865565805[/C][C]24.0022305246817[/C][/ROW]
[ROW][C]0.35[/C][C]755.54048156398[/C][C]25.5834831284746[/C][/ROW]
[ROW][C]0.36[/C][C]760.45282695094[/C][C]26.9722789087472[/C][/ROW]
[ROW][C]0.37[/C][C]765.576256069703[/C][C]28.0973245311675[/C][/ROW]
[ROW][C]0.38[/C][C]770.864331206558[/C][C]28.9196232523506[/C][/ROW]
[ROW][C]0.39[/C][C]776.265718096744[/C][C]29.431126687367[/C][/ROW]
[ROW][C]0.4[/C][C]781.730289050367[/C][C]29.6576999837815[/C][/ROW]
[ROW][C]0.41[/C][C]787.214770416972[/C][C]29.6543587626771[/C][/ROW]
[ROW][C]0.42[/C][C]792.687364324396[/C][C]29.4974898552808[/C][/ROW]
[ROW][C]0.43[/C][C]798.130914419975[/C][C]29.2832612646292[/C][/ROW]
[ROW][C]0.44[/C][C]803.54436056979[/C][C]29.10797224592[/C][/ROW]
[ROW][C]0.45[/C][C]808.942425161549[/C][C]29.0677253358621[/C][/ROW]
[ROW][C]0.46[/C][C]814.35367446988[/C][C]29.2390100929766[/C][/ROW]
[ROW][C]0.47[/C][C]819.817276746998[/C][C]29.6726248724492[/C][/ROW]
[ROW][C]0.48[/C][C]825.378907582221[/C][C]30.3890798323569[/C][/ROW]
[ROW][C]0.49[/C][C]831.086313416174[/C][C]31.3820989452511[/C][/ROW]
[ROW][C]0.5[/C][C]836.985031417632[/C][C]32.6154572597102[/C][/ROW]
[ROW][C]0.51[/C][C]843.114690493665[/C][C]34.0379546723053[/C][/ROW]
[ROW][C]0.52[/C][C]849.506208285675[/C][C]35.5850407285819[/C][/ROW]
[ROW][C]0.53[/C][C]856.18007927465[/C][C]37.1894776034279[/C][/ROW]
[ROW][C]0.54[/C][C]863.14583850988[/C][C]38.7851563254319[/C][/ROW]
[ROW][C]0.55[/C][C]870.402689431628[/C][C]40.3119059249467[/C][/ROW]
[ROW][C]0.56[/C][C]877.941196312094[/C][C]41.7237752244429[/C][/ROW]
[ROW][C]0.57[/C][C]885.745851899309[/C][C]42.9890400849659[/C][/ROW]
[ROW][C]0.58[/C][C]893.798236077052[/C][C]44.1001429550957[/C][/ROW]
[ROW][C]0.59[/C][C]902.080393756719[/C][C]45.0693552264001[/C][/ROW]
[ROW][C]0.6[/C][C]910.578006124828[/C][C]45.9278342143856[/C][/ROW]
[ROW][C]0.61[/C][C]919.282939623816[/C][C]46.7224139129171[/C][/ROW]
[ROW][C]0.62[/C][C]928.19485143115[/C][C]47.5053823893092[/C][/ROW]
[ROW][C]0.63[/C][C]937.321703305766[/C][C]48.326803486378[/C][/ROW]
[ROW][C]0.64[/C][C]946.679251840607[/C][C]49.2243857659514[/C][/ROW]
[ROW][C]0.65[/C][C]956.289785039442[/C][C]50.2251784626455[/C][/ROW]
[ROW][C]0.66[/C][C]966.180504123272[/C][C]51.3390877849108[/C][/ROW]
[ROW][C]0.67[/C][C]976.381970174859[/C][C]52.5658687886663[/C][/ROW]
[ROW][C]0.68[/C][C]986.926952521899[/C][C]53.9017241758373[/C][/ROW]
[ROW][C]0.69[/C][C]997.849874631249[/C][C]55.344015995853[/C][/ROW]
[ROW][C]0.7[/C][C]1009.1869185057[/C][C]56.8911063781346[/C][/ROW]
[ROW][C]0.71[/C][C]1020.97677084001[/C][C]58.5472378796087[/C][/ROW]
[ROW][C]0.72[/C][C]1033.26197799865[/C][C]60.3214096294352[/C][/ROW]
[ROW][C]0.73[/C][C]1046.0908683617[/C][C]62.2250519350196[/C][/ROW]
[ROW][C]0.74[/C][C]1059.51990854573[/C][C]64.2808680473466[/C][/ROW]
[ROW][C]0.75[/C][C]1073.61611005773[/C][C]66.521813983045[/C][/ROW]
[ROW][C]0.76[/C][C]1088.45870682054[/C][C]68.9926753129808[/C][/ROW]
[ROW][C]0.77[/C][C]1104.13892953173[/C][C]71.7427059751698[/C][/ROW]
[ROW][C]0.78[/C][C]1120.75658345702[/C][C]74.8024006310575[/C][/ROW]
[ROW][C]0.79[/C][C]1138.41259145227[/C][C]78.1623071965121[/C][/ROW]
[ROW][C]0.8[/C][C]1157.19783752668[/C][C]81.742485116236[/C][/ROW]
[ROW][C]0.81[/C][C]1177.18032596111[/C][C]85.3778935740088[/C][/ROW]
[ROW][C]0.82[/C][C]1198.39418857271[/C][C]88.838015510433[/C][/ROW]
[ROW][C]0.83[/C][C]1220.83443830145[/C][C]91.8709938450538[/C][/ROW]
[ROW][C]0.84[/C][C]1244.459707245[/C][C]94.2678417571411[/C][/ROW]
[ROW][C]0.85[/C][C]1269.20140616169[/C][C]95.9185501652646[/C][/ROW]
[ROW][C]0.86[/C][C]1294.9729715864[/C][C]96.8217753819945[/C][/ROW]
[ROW][C]0.87[/C][C]1321.6695515766[/C][C]97.0257971263172[/C][/ROW]
[ROW][C]0.88[/C][C]1349.14940675996[/C][C]96.5177862311536[/C][/ROW]
[ROW][C]0.89[/C][C]1377.19506596602[/C][C]95.1000828166318[/C][/ROW]
[ROW][C]0.9[/C][C]1405.46393857046[/C][C]92.352183905504[/C][/ROW]
[ROW][C]0.91[/C][C]1433.45106867459[/C][C]87.7266518707448[/C][/ROW]
[ROW][C]0.92[/C][C]1460.4960167014[/C][C]80.7651841828126[/C][/ROW]
[ROW][C]0.93[/C][C]1485.86604037908[/C][C]71.3681527213597[/C][/ROW]
[ROW][C]0.94[/C][C]1508.93189097961[/C][C]60.0322945069705[/C][/ROW]
[ROW][C]0.95[/C][C]1529.41022889718[/C][C]47.9851680474375[/C][/ROW]
[ROW][C]0.96[/C][C]1547.56568411645[/C][C]37.0897164000357[/C][/ROW]
[ROW][C]0.97[/C][C]1564.14434314954[/C][C]29.2454301666485[/C][/ROW]
[ROW][C]0.98[/C][C]1579.7160201876[/C][C]25.1339130189587[/C][/ROW]
[ROW][C]0.99[/C][C]1593.36130724545[/C][C]23.8704104691691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207154&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
0.01525.91891305137913.1172464090097
0.02536.38048709341828.5489588856605
0.03552.6430819672843.2975127669917
0.04572.57757366347450.0113948652821
0.05593.03643283676947.5136590855939
0.06611.29516087030239.2482856671797
0.07625.94454868420929.6233830478477
0.08636.89573282910521.6268143325875
0.09644.86195467736316.3936039797051
0.1650.80157452125513.7894230629756
0.11655.57084107888513.1209382546675
0.12659.79699028378313.6619456171741
0.13663.8819666532714.8649930945177
0.14668.05230254847916.3487737131808
0.15672.41035513236417.8349772645794
0.16676.97390071067919.1166642891989
0.17681.70543960639320.0588643296785
0.18686.53513738333220.5981760394647
0.19691.37955346706320.7283487584089
0.2696.15649205229820.4952423306464
0.21700.79572191434819.9754013747358
0.22705.245645006919.2602481108264
0.23709.47655422740318.4455662418541
0.24713.48141951857617.6330817628385
0.25717.27504503281316.9207751014852
0.26720.89208484072416.408970599795
0.27724.38403105446216.1909869342173
0.28727.81509254965216.3402584059158
0.29731.2569365321216.8929060384578
0.3734.78251266993717.840143467312
0.31738.459487024119.1263888152874
0.32742.3440402236520.6581888666927
0.33746.47584011511622.3231483346138
0.34750.87486556580524.0022305246817
0.35755.5404815639825.5834831284746
0.36760.4528269509426.9722789087472
0.37765.57625606970328.0973245311675
0.38770.86433120655828.9196232523506
0.39776.26571809674429.431126687367
0.4781.73028905036729.6576999837815
0.41787.21477041697229.6543587626771
0.42792.68736432439629.4974898552808
0.43798.13091441997529.2832612646292
0.44803.5443605697929.10797224592
0.45808.94242516154929.0677253358621
0.46814.3536744698829.2390100929766
0.47819.81727674699829.6726248724492
0.48825.37890758222130.3890798323569
0.49831.08631341617431.3820989452511
0.5836.98503141763232.6154572597102
0.51843.11469049366534.0379546723053
0.52849.50620828567535.5850407285819
0.53856.1800792746537.1894776034279
0.54863.1458385098838.7851563254319
0.55870.40268943162840.3119059249467
0.56877.94119631209441.7237752244429
0.57885.74585189930942.9890400849659
0.58893.79823607705244.1001429550957
0.59902.08039375671945.0693552264001
0.6910.57800612482845.9278342143856
0.61919.28293962381646.7224139129171
0.62928.1948514311547.5053823893092
0.63937.32170330576648.326803486378
0.64946.67925184060749.2243857659514
0.65956.28978503944250.2251784626455
0.66966.18050412327251.3390877849108
0.67976.38197017485952.5658687886663
0.68986.92695252189953.9017241758373
0.69997.84987463124955.344015995853
0.71009.186918505756.8911063781346
0.711020.9767708400158.5472378796087
0.721033.2619779986560.3214096294352
0.731046.090868361762.2250519350196
0.741059.5199085457364.2808680473466
0.751073.6161100577366.521813983045
0.761088.4587068205468.9926753129808
0.771104.1389295317371.7427059751698
0.781120.7565834570274.8024006310575
0.791138.4125914522778.1623071965121
0.81157.1978375266881.742485116236
0.811177.1803259611185.3778935740088
0.821198.3941885727188.838015510433
0.831220.8344383014591.8709938450538
0.841244.45970724594.2678417571411
0.851269.2014061616995.9185501652646
0.861294.972971586496.8217753819945
0.871321.669551576697.0257971263172
0.881349.1494067599696.5177862311536
0.891377.1950659660295.1000828166318
0.91405.4639385704692.352183905504
0.911433.4510686745987.7266518707448
0.921460.496016701480.7651841828126
0.931485.8660403790871.3681527213597
0.941508.9318909796160.0322945069705
0.951529.4102288971847.9851680474375
0.961547.5656841164537.0897164000357
0.971564.1443431495429.2454301666485
0.981579.716020187625.1339130189587
0.991593.3613072454523.8704104691691


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')