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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, 21 Apr 2009 10:58:55 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Apr/21/t1240333193j3tlm4ua8fw0r7v.htm/, Retrieved Sun, 12 May 2024 11:39:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39252, Retrieved Sun, 12 May 2024 11:39:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact252

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] [Silke van den Ber...] [2009-04-21 16:58:55] [900fe54243512ff0c75e5ed1f9ef5c37] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
493395.00
487190.00
519493.00
519453.00
538588.00
438224.00
542034.00
512027.00
619880.00
533737.00
573789.00
589213.00
532168.00
551102.00
593789.00
527106.00
547327.00
601305.00
610872.00
601325.00
642143.00
614216.00
657979.00
673098.00
602297.00
615381.00
703671.00
733852.00
716596.00
745798.00
742027.10
679181.20
739022.70
645410.60
729382.10
671052.70
744954.80
677639.30
778207.20
763316.20
658531.60
831700.10
664156.30
621402.10
683588.70
600023.80
643273.80
653615.90
620177.50
574128.80
599828.00
599369.40
596617.70
616114.60
510226.90
493960.10
634503.30
588556.20
603239.00
617458.20
646543.50
680125.60
731595.80
759600.30
785031.70
849573.30
762342.00
815346.60
929603.20
784057.50
944667.70
1007258.30
664292.70
873207.40
1146510.00
1417266.80
1089387.90
1373379.70
1009397.60
818175.10
1003458.10
961142.70
1121906.60
1141713.30
1042352.60
992223.60
920525.30
1076093.40
967880.40
1236416.10

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39252&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39252&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39252&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01455195.81838272534590.6934765241
0.02475161.3203251619835.6988222940
0.03489210.15126107412729.8616705092
0.04498131.67350967411509.9265805860
0.05504660.32552278711637.1773105764
0.06510223.77746041211522.1398775879
0.07515255.73706983311272.9205859980
0.08519899.64396982111238.6722407019
0.09524291.10475954311586.9982263208
0.1528588.77429495412348.3085889872
0.11532946.9261476413511.3488085538
0.12537493.99054849515026.1293196440
0.13542318.61120999816757.6886789303
0.14547456.83580848618487.5702016095
0.15552882.25626435219947.9535868527
0.16558505.40136939820891.9378662637
0.17564186.22751266821152.9688962228
0.18569757.94249668320680.084915875
0.19575055.88715067819542.3188463671
0.2579943.89929826517902.0860211726
0.21584332.3331726315972.6929789923
0.22588185.23441908613976.3232365364
0.23591517.42451414912107.4483961307
0.24594384.36013474610517.7421788972
0.25596868.3404456799300.52006741995
0.26599064.271777758494.48736470778
0.27601067.309496918086.9286769555
0.28602963.7243137088020.69080193273
0.29604825.5030345948213.65166105674
0.3606708.5296222278590.05704822936
0.31608653.6748199779087.11314739404
0.32610689.7520864889665.1164105535
0.33612837.12309208410310.8191356973
0.34615110.8150800911016.9075903819
0.35617522.35245969111779.6567992981
0.36620080.02906345812585.5102254735
0.37622787.90597874913408.4274021122
0.38625644.2426977414207.0840921971
0.39628640.23174430614934.9717101727
0.4631759.77707118215552.9837103551
0.41634980.70384812216029.9844509498
0.42638277.34978220916355.3409624155
0.43641624.11483424516542.3233423123
0.44644999.34079326816623.0771781157
0.45648388.88095172816647.3180194635
0.46651788.85496263216675.3993860202
0.47655207.27514104216771.5427631654
0.48658664.39249892616999.7514364074
0.49662191.70066173917416.9637524962
0.5665829.5682149118065.8543420779
0.51669623.50463088218965.3900023572
0.52673619.17201439620103.0941159053
0.53677856.47418793621433.2825576025
0.54682363.3647342422873.3858043157
0.55687150.32833771724313.1537396017
0.56692206.67480787725626.100885938
0.57697499.71891780426693.6161537571
0.58702977.54055772527417.9662622400
0.59708575.36991695727747.8904454062
0.6714224.86900791427685.9532672442
0.61719864.89864606627296.3367188102
0.62725451.97972918626695.8354622901
0.63730968.70853877226039.8741775468
0.64736428.86351576925504.5237019368
0.65741878.7037677525254.0305824137
0.66747394.77517393525431.6926829376
0.67753079.1647183926136.8655870949
0.68759053.40223383127427.5858543768
0.69765452.04508745329324.0392728675
0.7772416.46836372131816.2880740501
0.71780088.69732090934871.3767867582
0.72788604.49861096838429.4194345902
0.73798084.64661637342396.9722753914
0.74808623.52016163646628.6515460219
0.75820275.07288097550921.485005047
0.76833037.66420974455005.7693992242
0.77846840.8639713758563.1248837563
0.78861538.52244330161260.5267035688
0.79876912.44219362762805.0293359924
0.8892689.50381089663011.7351177587
0.81908572.31174981561851.1316710595
0.82924280.21182613659477.910906441
0.83939594.95651721256228.4638198341
0.84954403.8822242252579.9175355569
0.85968732.77528357749096.6731378624
0.86982759.7999834446357.289958454
0.87996801.2337226444849.5683844934
0.881011262.1072040244806.7143235645
0.891026555.0827838546043.5242956128
0.91043013.2185266147939.4258295528
0.911060856.0822582549688.4976681872
0.921080303.3682731250797.8047083812
0.931101933.6100398351782.7378490008
0.941127283.6352626654947.6961460284
0.951159364.1298780464176.7934540125
0.961202215.3678288581248.8467310669
0.971258306.7508514899483.5888923798
0.981323640.7766624101529.111838054
0.991383644.7648427673977.3519252036

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 455195.818382725 & 34590.6934765241 \tabularnewline
0.02 & 475161.32032516 & 19835.6988222940 \tabularnewline
0.03 & 489210.151261074 & 12729.8616705092 \tabularnewline
0.04 & 498131.673509674 & 11509.9265805860 \tabularnewline
0.05 & 504660.325522787 & 11637.1773105764 \tabularnewline
0.06 & 510223.777460412 & 11522.1398775879 \tabularnewline
0.07 & 515255.737069833 & 11272.9205859980 \tabularnewline
0.08 & 519899.643969821 & 11238.6722407019 \tabularnewline
0.09 & 524291.104759543 & 11586.9982263208 \tabularnewline
0.1 & 528588.774294954 & 12348.3085889872 \tabularnewline
0.11 & 532946.92614764 & 13511.3488085538 \tabularnewline
0.12 & 537493.990548495 & 15026.1293196440 \tabularnewline
0.13 & 542318.611209998 & 16757.6886789303 \tabularnewline
0.14 & 547456.835808486 & 18487.5702016095 \tabularnewline
0.15 & 552882.256264352 & 19947.9535868527 \tabularnewline
0.16 & 558505.401369398 & 20891.9378662637 \tabularnewline
0.17 & 564186.227512668 & 21152.9688962228 \tabularnewline
0.18 & 569757.942496683 & 20680.084915875 \tabularnewline
0.19 & 575055.887150678 & 19542.3188463671 \tabularnewline
0.2 & 579943.899298265 & 17902.0860211726 \tabularnewline
0.21 & 584332.33317263 & 15972.6929789923 \tabularnewline
0.22 & 588185.234419086 & 13976.3232365364 \tabularnewline
0.23 & 591517.424514149 & 12107.4483961307 \tabularnewline
0.24 & 594384.360134746 & 10517.7421788972 \tabularnewline
0.25 & 596868.340445679 & 9300.52006741995 \tabularnewline
0.26 & 599064.27177775 & 8494.48736470778 \tabularnewline
0.27 & 601067.30949691 & 8086.9286769555 \tabularnewline
0.28 & 602963.724313708 & 8020.69080193273 \tabularnewline
0.29 & 604825.503034594 & 8213.65166105674 \tabularnewline
0.3 & 606708.529622227 & 8590.05704822936 \tabularnewline
0.31 & 608653.674819977 & 9087.11314739404 \tabularnewline
0.32 & 610689.752086488 & 9665.1164105535 \tabularnewline
0.33 & 612837.123092084 & 10310.8191356973 \tabularnewline
0.34 & 615110.81508009 & 11016.9075903819 \tabularnewline
0.35 & 617522.352459691 & 11779.6567992981 \tabularnewline
0.36 & 620080.029063458 & 12585.5102254735 \tabularnewline
0.37 & 622787.905978749 & 13408.4274021122 \tabularnewline
0.38 & 625644.24269774 & 14207.0840921971 \tabularnewline
0.39 & 628640.231744306 & 14934.9717101727 \tabularnewline
0.4 & 631759.777071182 & 15552.9837103551 \tabularnewline
0.41 & 634980.703848122 & 16029.9844509498 \tabularnewline
0.42 & 638277.349782209 & 16355.3409624155 \tabularnewline
0.43 & 641624.114834245 & 16542.3233423123 \tabularnewline
0.44 & 644999.340793268 & 16623.0771781157 \tabularnewline
0.45 & 648388.880951728 & 16647.3180194635 \tabularnewline
0.46 & 651788.854962632 & 16675.3993860202 \tabularnewline
0.47 & 655207.275141042 & 16771.5427631654 \tabularnewline
0.48 & 658664.392498926 & 16999.7514364074 \tabularnewline
0.49 & 662191.700661739 & 17416.9637524962 \tabularnewline
0.5 & 665829.56821491 & 18065.8543420779 \tabularnewline
0.51 & 669623.504630882 & 18965.3900023572 \tabularnewline
0.52 & 673619.172014396 & 20103.0941159053 \tabularnewline
0.53 & 677856.474187936 & 21433.2825576025 \tabularnewline
0.54 & 682363.36473424 & 22873.3858043157 \tabularnewline
0.55 & 687150.328337717 & 24313.1537396017 \tabularnewline
0.56 & 692206.674807877 & 25626.100885938 \tabularnewline
0.57 & 697499.718917804 & 26693.6161537571 \tabularnewline
0.58 & 702977.540557725 & 27417.9662622400 \tabularnewline
0.59 & 708575.369916957 & 27747.8904454062 \tabularnewline
0.6 & 714224.869007914 & 27685.9532672442 \tabularnewline
0.61 & 719864.898646066 & 27296.3367188102 \tabularnewline
0.62 & 725451.979729186 & 26695.8354622901 \tabularnewline
0.63 & 730968.708538772 & 26039.8741775468 \tabularnewline
0.64 & 736428.863515769 & 25504.5237019368 \tabularnewline
0.65 & 741878.70376775 & 25254.0305824137 \tabularnewline
0.66 & 747394.775173935 & 25431.6926829376 \tabularnewline
0.67 & 753079.16471839 & 26136.8655870949 \tabularnewline
0.68 & 759053.402233831 & 27427.5858543768 \tabularnewline
0.69 & 765452.045087453 & 29324.0392728675 \tabularnewline
0.7 & 772416.468363721 & 31816.2880740501 \tabularnewline
0.71 & 780088.697320909 & 34871.3767867582 \tabularnewline
0.72 & 788604.498610968 & 38429.4194345902 \tabularnewline
0.73 & 798084.646616373 & 42396.9722753914 \tabularnewline
0.74 & 808623.520161636 & 46628.6515460219 \tabularnewline
0.75 & 820275.072880975 & 50921.485005047 \tabularnewline
0.76 & 833037.664209744 & 55005.7693992242 \tabularnewline
0.77 & 846840.86397137 & 58563.1248837563 \tabularnewline
0.78 & 861538.522443301 & 61260.5267035688 \tabularnewline
0.79 & 876912.442193627 & 62805.0293359924 \tabularnewline
0.8 & 892689.503810896 & 63011.7351177587 \tabularnewline
0.81 & 908572.311749815 & 61851.1316710595 \tabularnewline
0.82 & 924280.211826136 & 59477.910906441 \tabularnewline
0.83 & 939594.956517212 & 56228.4638198341 \tabularnewline
0.84 & 954403.88222422 & 52579.9175355569 \tabularnewline
0.85 & 968732.775283577 & 49096.6731378624 \tabularnewline
0.86 & 982759.79998344 & 46357.289958454 \tabularnewline
0.87 & 996801.23372264 & 44849.5683844934 \tabularnewline
0.88 & 1011262.10720402 & 44806.7143235645 \tabularnewline
0.89 & 1026555.08278385 & 46043.5242956128 \tabularnewline
0.9 & 1043013.21852661 & 47939.4258295528 \tabularnewline
0.91 & 1060856.08225825 & 49688.4976681872 \tabularnewline
0.92 & 1080303.36827312 & 50797.8047083812 \tabularnewline
0.93 & 1101933.61003983 & 51782.7378490008 \tabularnewline
0.94 & 1127283.63526266 & 54947.6961460284 \tabularnewline
0.95 & 1159364.12987804 & 64176.7934540125 \tabularnewline
0.96 & 1202215.36782885 & 81248.8467310669 \tabularnewline
0.97 & 1258306.75085148 & 99483.5888923798 \tabularnewline
0.98 & 1323640.7766624 & 101529.111838054 \tabularnewline
0.99 & 1383644.76484276 & 73977.3519252036 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39252&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]455195.818382725[/C][C]34590.6934765241[/C][/ROW]
[ROW][C]0.02[/C][C]475161.32032516[/C][C]19835.6988222940[/C][/ROW]
[ROW][C]0.03[/C][C]489210.151261074[/C][C]12729.8616705092[/C][/ROW]
[ROW][C]0.04[/C][C]498131.673509674[/C][C]11509.9265805860[/C][/ROW]
[ROW][C]0.05[/C][C]504660.325522787[/C][C]11637.1773105764[/C][/ROW]
[ROW][C]0.06[/C][C]510223.777460412[/C][C]11522.1398775879[/C][/ROW]
[ROW][C]0.07[/C][C]515255.737069833[/C][C]11272.9205859980[/C][/ROW]
[ROW][C]0.08[/C][C]519899.643969821[/C][C]11238.6722407019[/C][/ROW]
[ROW][C]0.09[/C][C]524291.104759543[/C][C]11586.9982263208[/C][/ROW]
[ROW][C]0.1[/C][C]528588.774294954[/C][C]12348.3085889872[/C][/ROW]
[ROW][C]0.11[/C][C]532946.92614764[/C][C]13511.3488085538[/C][/ROW]
[ROW][C]0.12[/C][C]537493.990548495[/C][C]15026.1293196440[/C][/ROW]
[ROW][C]0.13[/C][C]542318.611209998[/C][C]16757.6886789303[/C][/ROW]
[ROW][C]0.14[/C][C]547456.835808486[/C][C]18487.5702016095[/C][/ROW]
[ROW][C]0.15[/C][C]552882.256264352[/C][C]19947.9535868527[/C][/ROW]
[ROW][C]0.16[/C][C]558505.401369398[/C][C]20891.9378662637[/C][/ROW]
[ROW][C]0.17[/C][C]564186.227512668[/C][C]21152.9688962228[/C][/ROW]
[ROW][C]0.18[/C][C]569757.942496683[/C][C]20680.084915875[/C][/ROW]
[ROW][C]0.19[/C][C]575055.887150678[/C][C]19542.3188463671[/C][/ROW]
[ROW][C]0.2[/C][C]579943.899298265[/C][C]17902.0860211726[/C][/ROW]
[ROW][C]0.21[/C][C]584332.33317263[/C][C]15972.6929789923[/C][/ROW]
[ROW][C]0.22[/C][C]588185.234419086[/C][C]13976.3232365364[/C][/ROW]
[ROW][C]0.23[/C][C]591517.424514149[/C][C]12107.4483961307[/C][/ROW]
[ROW][C]0.24[/C][C]594384.360134746[/C][C]10517.7421788972[/C][/ROW]
[ROW][C]0.25[/C][C]596868.340445679[/C][C]9300.52006741995[/C][/ROW]
[ROW][C]0.26[/C][C]599064.27177775[/C][C]8494.48736470778[/C][/ROW]
[ROW][C]0.27[/C][C]601067.30949691[/C][C]8086.9286769555[/C][/ROW]
[ROW][C]0.28[/C][C]602963.724313708[/C][C]8020.69080193273[/C][/ROW]
[ROW][C]0.29[/C][C]604825.503034594[/C][C]8213.65166105674[/C][/ROW]
[ROW][C]0.3[/C][C]606708.529622227[/C][C]8590.05704822936[/C][/ROW]
[ROW][C]0.31[/C][C]608653.674819977[/C][C]9087.11314739404[/C][/ROW]
[ROW][C]0.32[/C][C]610689.752086488[/C][C]9665.1164105535[/C][/ROW]
[ROW][C]0.33[/C][C]612837.123092084[/C][C]10310.8191356973[/C][/ROW]
[ROW][C]0.34[/C][C]615110.81508009[/C][C]11016.9075903819[/C][/ROW]
[ROW][C]0.35[/C][C]617522.352459691[/C][C]11779.6567992981[/C][/ROW]
[ROW][C]0.36[/C][C]620080.029063458[/C][C]12585.5102254735[/C][/ROW]
[ROW][C]0.37[/C][C]622787.905978749[/C][C]13408.4274021122[/C][/ROW]
[ROW][C]0.38[/C][C]625644.24269774[/C][C]14207.0840921971[/C][/ROW]
[ROW][C]0.39[/C][C]628640.231744306[/C][C]14934.9717101727[/C][/ROW]
[ROW][C]0.4[/C][C]631759.777071182[/C][C]15552.9837103551[/C][/ROW]
[ROW][C]0.41[/C][C]634980.703848122[/C][C]16029.9844509498[/C][/ROW]
[ROW][C]0.42[/C][C]638277.349782209[/C][C]16355.3409624155[/C][/ROW]
[ROW][C]0.43[/C][C]641624.114834245[/C][C]16542.3233423123[/C][/ROW]
[ROW][C]0.44[/C][C]644999.340793268[/C][C]16623.0771781157[/C][/ROW]
[ROW][C]0.45[/C][C]648388.880951728[/C][C]16647.3180194635[/C][/ROW]
[ROW][C]0.46[/C][C]651788.854962632[/C][C]16675.3993860202[/C][/ROW]
[ROW][C]0.47[/C][C]655207.275141042[/C][C]16771.5427631654[/C][/ROW]
[ROW][C]0.48[/C][C]658664.392498926[/C][C]16999.7514364074[/C][/ROW]
[ROW][C]0.49[/C][C]662191.700661739[/C][C]17416.9637524962[/C][/ROW]
[ROW][C]0.5[/C][C]665829.56821491[/C][C]18065.8543420779[/C][/ROW]
[ROW][C]0.51[/C][C]669623.504630882[/C][C]18965.3900023572[/C][/ROW]
[ROW][C]0.52[/C][C]673619.172014396[/C][C]20103.0941159053[/C][/ROW]
[ROW][C]0.53[/C][C]677856.474187936[/C][C]21433.2825576025[/C][/ROW]
[ROW][C]0.54[/C][C]682363.36473424[/C][C]22873.3858043157[/C][/ROW]
[ROW][C]0.55[/C][C]687150.328337717[/C][C]24313.1537396017[/C][/ROW]
[ROW][C]0.56[/C][C]692206.674807877[/C][C]25626.100885938[/C][/ROW]
[ROW][C]0.57[/C][C]697499.718917804[/C][C]26693.6161537571[/C][/ROW]
[ROW][C]0.58[/C][C]702977.540557725[/C][C]27417.9662622400[/C][/ROW]
[ROW][C]0.59[/C][C]708575.369916957[/C][C]27747.8904454062[/C][/ROW]
[ROW][C]0.6[/C][C]714224.869007914[/C][C]27685.9532672442[/C][/ROW]
[ROW][C]0.61[/C][C]719864.898646066[/C][C]27296.3367188102[/C][/ROW]
[ROW][C]0.62[/C][C]725451.979729186[/C][C]26695.8354622901[/C][/ROW]
[ROW][C]0.63[/C][C]730968.708538772[/C][C]26039.8741775468[/C][/ROW]
[ROW][C]0.64[/C][C]736428.863515769[/C][C]25504.5237019368[/C][/ROW]
[ROW][C]0.65[/C][C]741878.70376775[/C][C]25254.0305824137[/C][/ROW]
[ROW][C]0.66[/C][C]747394.775173935[/C][C]25431.6926829376[/C][/ROW]
[ROW][C]0.67[/C][C]753079.16471839[/C][C]26136.8655870949[/C][/ROW]
[ROW][C]0.68[/C][C]759053.402233831[/C][C]27427.5858543768[/C][/ROW]
[ROW][C]0.69[/C][C]765452.045087453[/C][C]29324.0392728675[/C][/ROW]
[ROW][C]0.7[/C][C]772416.468363721[/C][C]31816.2880740501[/C][/ROW]
[ROW][C]0.71[/C][C]780088.697320909[/C][C]34871.3767867582[/C][/ROW]
[ROW][C]0.72[/C][C]788604.498610968[/C][C]38429.4194345902[/C][/ROW]
[ROW][C]0.73[/C][C]798084.646616373[/C][C]42396.9722753914[/C][/ROW]
[ROW][C]0.74[/C][C]808623.520161636[/C][C]46628.6515460219[/C][/ROW]
[ROW][C]0.75[/C][C]820275.072880975[/C][C]50921.485005047[/C][/ROW]
[ROW][C]0.76[/C][C]833037.664209744[/C][C]55005.7693992242[/C][/ROW]
[ROW][C]0.77[/C][C]846840.86397137[/C][C]58563.1248837563[/C][/ROW]
[ROW][C]0.78[/C][C]861538.522443301[/C][C]61260.5267035688[/C][/ROW]
[ROW][C]0.79[/C][C]876912.442193627[/C][C]62805.0293359924[/C][/ROW]
[ROW][C]0.8[/C][C]892689.503810896[/C][C]63011.7351177587[/C][/ROW]
[ROW][C]0.81[/C][C]908572.311749815[/C][C]61851.1316710595[/C][/ROW]
[ROW][C]0.82[/C][C]924280.211826136[/C][C]59477.910906441[/C][/ROW]
[ROW][C]0.83[/C][C]939594.956517212[/C][C]56228.4638198341[/C][/ROW]
[ROW][C]0.84[/C][C]954403.88222422[/C][C]52579.9175355569[/C][/ROW]
[ROW][C]0.85[/C][C]968732.775283577[/C][C]49096.6731378624[/C][/ROW]
[ROW][C]0.86[/C][C]982759.79998344[/C][C]46357.289958454[/C][/ROW]
[ROW][C]0.87[/C][C]996801.23372264[/C][C]44849.5683844934[/C][/ROW]
[ROW][C]0.88[/C][C]1011262.10720402[/C][C]44806.7143235645[/C][/ROW]
[ROW][C]0.89[/C][C]1026555.08278385[/C][C]46043.5242956128[/C][/ROW]
[ROW][C]0.9[/C][C]1043013.21852661[/C][C]47939.4258295528[/C][/ROW]
[ROW][C]0.91[/C][C]1060856.08225825[/C][C]49688.4976681872[/C][/ROW]
[ROW][C]0.92[/C][C]1080303.36827312[/C][C]50797.8047083812[/C][/ROW]
[ROW][C]0.93[/C][C]1101933.61003983[/C][C]51782.7378490008[/C][/ROW]
[ROW][C]0.94[/C][C]1127283.63526266[/C][C]54947.6961460284[/C][/ROW]
[ROW][C]0.95[/C][C]1159364.12987804[/C][C]64176.7934540125[/C][/ROW]
[ROW][C]0.96[/C][C]1202215.36782885[/C][C]81248.8467310669[/C][/ROW]
[ROW][C]0.97[/C][C]1258306.75085148[/C][C]99483.5888923798[/C][/ROW]
[ROW][C]0.98[/C][C]1323640.7766624[/C][C]101529.111838054[/C][/ROW]
[ROW][C]0.99[/C][C]1383644.76484276[/C][C]73977.3519252036[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39252&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39252&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
0.01455195.81838272534590.6934765241
0.02475161.3203251619835.6988222940
0.03489210.15126107412729.8616705092
0.04498131.67350967411509.9265805860
0.05504660.32552278711637.1773105764
0.06510223.77746041211522.1398775879
0.07515255.73706983311272.9205859980
0.08519899.64396982111238.6722407019
0.09524291.10475954311586.9982263208
0.1528588.77429495412348.3085889872
0.11532946.9261476413511.3488085538
0.12537493.99054849515026.1293196440
0.13542318.61120999816757.6886789303
0.14547456.83580848618487.5702016095
0.15552882.25626435219947.9535868527
0.16558505.40136939820891.9378662637
0.17564186.22751266821152.9688962228
0.18569757.94249668320680.084915875
0.19575055.88715067819542.3188463671
0.2579943.89929826517902.0860211726
0.21584332.3331726315972.6929789923
0.22588185.23441908613976.3232365364
0.23591517.42451414912107.4483961307
0.24594384.36013474610517.7421788972
0.25596868.3404456799300.52006741995
0.26599064.271777758494.48736470778
0.27601067.309496918086.9286769555
0.28602963.7243137088020.69080193273
0.29604825.5030345948213.65166105674
0.3606708.5296222278590.05704822936
0.31608653.6748199779087.11314739404
0.32610689.7520864889665.1164105535
0.33612837.12309208410310.8191356973
0.34615110.8150800911016.9075903819
0.35617522.35245969111779.6567992981
0.36620080.02906345812585.5102254735
0.37622787.90597874913408.4274021122
0.38625644.2426977414207.0840921971
0.39628640.23174430614934.9717101727
0.4631759.77707118215552.9837103551
0.41634980.70384812216029.9844509498
0.42638277.34978220916355.3409624155
0.43641624.11483424516542.3233423123
0.44644999.34079326816623.0771781157
0.45648388.88095172816647.3180194635
0.46651788.85496263216675.3993860202
0.47655207.27514104216771.5427631654
0.48658664.39249892616999.7514364074
0.49662191.70066173917416.9637524962
0.5665829.5682149118065.8543420779
0.51669623.50463088218965.3900023572
0.52673619.17201439620103.0941159053
0.53677856.47418793621433.2825576025
0.54682363.3647342422873.3858043157
0.55687150.32833771724313.1537396017
0.56692206.67480787725626.100885938
0.57697499.71891780426693.6161537571
0.58702977.54055772527417.9662622400
0.59708575.36991695727747.8904454062
0.6714224.86900791427685.9532672442
0.61719864.89864606627296.3367188102
0.62725451.97972918626695.8354622901
0.63730968.70853877226039.8741775468
0.64736428.86351576925504.5237019368
0.65741878.7037677525254.0305824137
0.66747394.77517393525431.6926829376
0.67753079.1647183926136.8655870949
0.68759053.40223383127427.5858543768
0.69765452.04508745329324.0392728675
0.7772416.46836372131816.2880740501
0.71780088.69732090934871.3767867582
0.72788604.49861096838429.4194345902
0.73798084.64661637342396.9722753914
0.74808623.52016163646628.6515460219
0.75820275.07288097550921.485005047
0.76833037.66420974455005.7693992242
0.77846840.8639713758563.1248837563
0.78861538.52244330161260.5267035688
0.79876912.44219362762805.0293359924
0.8892689.50381089663011.7351177587
0.81908572.31174981561851.1316710595
0.82924280.21182613659477.910906441
0.83939594.95651721256228.4638198341
0.84954403.8822242252579.9175355569
0.85968732.77528357749096.6731378624
0.86982759.7999834446357.289958454
0.87996801.2337226444849.5683844934
0.881011262.1072040244806.7143235645
0.891026555.0827838546043.5242956128
0.91043013.2185266147939.4258295528
0.911060856.0822582549688.4976681872
0.921080303.3682731250797.8047083812
0.931101933.6100398351782.7378490008
0.941127283.6352626654947.6961460284
0.951159364.1298780464176.7934540125
0.961202215.3678288581248.8467310669
0.971258306.7508514899483.5888923798
0.981323640.7766624101529.111838054
0.991383644.7648427673977.3519252036


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')