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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 computationWed, 10 Aug 2016 22:55:10 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/10/t1470866127pepzcii3xkcyz4x.htm/, Retrieved Tue, 30 Apr 2024 06:50:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296260, Retrieved Tue, 30 Apr 2024 06:50:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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] [] [2016-08-10 21:55:10] [3e69b53d94b342798d3f1a806941de01] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
615
680
680
625
710
695
640
665
700
685
645
750
630
680
660
650
720
680
665
710
755
640
655
730
640
685
695
695
730
705
615
630
795
625
700
725
610
645
700
700
730
725
635
630
775
615
690
745
590
595
700
690
755
700
645
600
800
610
690
725
630
565
695
690
785
660
605
595
790
575
665
710
630
520
725
680
750
620
630
610
840
605
675
740
635
520
725
655
755
580
645
615
840
595
655
740
660
525
690
660
740
575
625
630
840
575
655
735

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296260&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296260&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01523.2430102778888.58816062595099
0.02532.71012766727919.4402420281364
0.03546.26430296529822.6944315777123
0.04559.39515704749218.8728648167346
0.05569.5365500932713.8001528654671
0.06576.7606233886510.9820303542793
0.07582.19079502775510.160736841945
0.08586.730414781269.89159919121758
0.09590.7822375710299.49898421904627
0.1594.4553694106498.97394020703661
0.11597.7799021817518.46249506487811
0.12600.7918775663358.02611581915694
0.13603.5366572555987.64160339657953
0.14606.0564847334817.2882424613289
0.15608.3883025250686.9855884380832
0.16610.5685131110096.77274444470984
0.17612.6352304920536.67764367203087
0.18614.6244366043496.68398438123855
0.19616.5627092976496.73867296833319
0.2618.4613229512976.76994532490184
0.21620.3151781020716.7151618834883
0.22622.1073065586786.54520613957113
0.23623.817265017066.26938623617992
0.24625.4303934427875.93682572050734
0.25626.9448726172455.62017373122134
0.26628.374536198365.39637769671646
0.27629.7469646310095.32319230913629
0.28631.0979064365855.42033774965967
0.29632.4640440523775.66933244993941
0.3633.8763120674966.02356874281526
0.31635.3554471765646.42448407228393
0.32636.9104931361776.82095532751675
0.33638.5399901338857.17554291186295
0.34640.2348861569297.46992906928652
0.35641.9819942887797.69983721983605
0.36643.7670543892017.86678633661581
0.37645.5769453846867.98370475085531
0.38647.4010776824938.05902125848983
0.39649.2322690280668.10744795086367
0.4651.0673977313818.14666104753892
0.41652.9079044746288.19770799299365
0.42654.7599405358168.28718895585554
0.43656.6338074124098.43478565389243
0.44658.5424020791948.65231439618819
0.45660.4986645035728.93470005566487
0.46662.5124084467569.25848012087921
0.47664.5872393803489.58148014526592
0.48666.7183775270499.856061804728
0.49668.89204080347610.03544732986
0.5671.08664190329710.0862975723903
0.51673.2755518448599.99284423652509
0.52675.4307574645219.75949062038433
0.53677.5265406374199.40874603309932
0.54679.5423892756828.97447463400704
0.55681.4646597235898.49438119768918
0.56683.2869115770688.00303536215389
0.57685.009179015437.52737892257448
0.58686.6366294168687.08802893608089
0.59688.1780775490686.69455173176044
0.6689.6447291834396.35504881807343
0.61691.0493989970796.0747446851188
0.62692.4063305477865.85579509729227
0.63693.7316354053925.70773661707245
0.64695.0442269355365.63941570297326
0.65696.3669289885775.67236386174485
0.66697.7272234422365.82703774563532
0.67699.1569583386946.12612249314769
0.68700.6903923562466.57758246213601
0.69702.3602869057227.16463440811856
0.7704.1923611436137.84370923901179
0.71706.1991568534768.54046630151551
0.72708.3749717233459.16621833028908
0.73710.6937271072789.62955840146083
0.74713.111225251769.85978364294586
0.75715.5721880184249.82450733260902
0.76718.0209804304439.54292215035983
0.77720.413485916429.08365319295481
0.78722.7268136791698.55406026876667
0.79724.9638522226688.0721016490349
0.8727.151206072597.7355892541543
0.81729.3312912275687.59092950831979
0.82731.5514356866937.62569463876763
0.83733.8538754946767.78444843963362
0.84736.2702592606058.00187035377714
0.85738.8231821721288.22954769676515
0.86741.5361762819018.46260876237148
0.87744.4523817687028.75646790636883
0.88747.6588842148149.24689695051718
0.89751.30614855936710.1365291003505
0.9755.60265164519111.5834590052335
0.91760.76668036007713.4999131562081
0.92766.94938883123315.4540566981333
0.93774.20427665094616.8963214570064
0.94782.6026330976417.7395871266885
0.95792.44618628608218.8495201316091
0.96804.1666587804921.0574679925791
0.97817.38689489262922.1726938221926
0.98829.70584431491717.3915785622812
0.99837.5683008528176.97300358645992

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 523.243010277888 & 8.58816062595099 \tabularnewline
0.02 & 532.710127667279 & 19.4402420281364 \tabularnewline
0.03 & 546.264302965298 & 22.6944315777123 \tabularnewline
0.04 & 559.395157047492 & 18.8728648167346 \tabularnewline
0.05 & 569.53655009327 & 13.8001528654671 \tabularnewline
0.06 & 576.76062338865 & 10.9820303542793 \tabularnewline
0.07 & 582.190795027755 & 10.160736841945 \tabularnewline
0.08 & 586.73041478126 & 9.89159919121758 \tabularnewline
0.09 & 590.782237571029 & 9.49898421904627 \tabularnewline
0.1 & 594.455369410649 & 8.97394020703661 \tabularnewline
0.11 & 597.779902181751 & 8.46249506487811 \tabularnewline
0.12 & 600.791877566335 & 8.02611581915694 \tabularnewline
0.13 & 603.536657255598 & 7.64160339657953 \tabularnewline
0.14 & 606.056484733481 & 7.2882424613289 \tabularnewline
0.15 & 608.388302525068 & 6.9855884380832 \tabularnewline
0.16 & 610.568513111009 & 6.77274444470984 \tabularnewline
0.17 & 612.635230492053 & 6.67764367203087 \tabularnewline
0.18 & 614.624436604349 & 6.68398438123855 \tabularnewline
0.19 & 616.562709297649 & 6.73867296833319 \tabularnewline
0.2 & 618.461322951297 & 6.76994532490184 \tabularnewline
0.21 & 620.315178102071 & 6.7151618834883 \tabularnewline
0.22 & 622.107306558678 & 6.54520613957113 \tabularnewline
0.23 & 623.81726501706 & 6.26938623617992 \tabularnewline
0.24 & 625.430393442787 & 5.93682572050734 \tabularnewline
0.25 & 626.944872617245 & 5.62017373122134 \tabularnewline
0.26 & 628.37453619836 & 5.39637769671646 \tabularnewline
0.27 & 629.746964631009 & 5.32319230913629 \tabularnewline
0.28 & 631.097906436585 & 5.42033774965967 \tabularnewline
0.29 & 632.464044052377 & 5.66933244993941 \tabularnewline
0.3 & 633.876312067496 & 6.02356874281526 \tabularnewline
0.31 & 635.355447176564 & 6.42448407228393 \tabularnewline
0.32 & 636.910493136177 & 6.82095532751675 \tabularnewline
0.33 & 638.539990133885 & 7.17554291186295 \tabularnewline
0.34 & 640.234886156929 & 7.46992906928652 \tabularnewline
0.35 & 641.981994288779 & 7.69983721983605 \tabularnewline
0.36 & 643.767054389201 & 7.86678633661581 \tabularnewline
0.37 & 645.576945384686 & 7.98370475085531 \tabularnewline
0.38 & 647.401077682493 & 8.05902125848983 \tabularnewline
0.39 & 649.232269028066 & 8.10744795086367 \tabularnewline
0.4 & 651.067397731381 & 8.14666104753892 \tabularnewline
0.41 & 652.907904474628 & 8.19770799299365 \tabularnewline
0.42 & 654.759940535816 & 8.28718895585554 \tabularnewline
0.43 & 656.633807412409 & 8.43478565389243 \tabularnewline
0.44 & 658.542402079194 & 8.65231439618819 \tabularnewline
0.45 & 660.498664503572 & 8.93470005566487 \tabularnewline
0.46 & 662.512408446756 & 9.25848012087921 \tabularnewline
0.47 & 664.587239380348 & 9.58148014526592 \tabularnewline
0.48 & 666.718377527049 & 9.856061804728 \tabularnewline
0.49 & 668.892040803476 & 10.03544732986 \tabularnewline
0.5 & 671.086641903297 & 10.0862975723903 \tabularnewline
0.51 & 673.275551844859 & 9.99284423652509 \tabularnewline
0.52 & 675.430757464521 & 9.75949062038433 \tabularnewline
0.53 & 677.526540637419 & 9.40874603309932 \tabularnewline
0.54 & 679.542389275682 & 8.97447463400704 \tabularnewline
0.55 & 681.464659723589 & 8.49438119768918 \tabularnewline
0.56 & 683.286911577068 & 8.00303536215389 \tabularnewline
0.57 & 685.00917901543 & 7.52737892257448 \tabularnewline
0.58 & 686.636629416868 & 7.08802893608089 \tabularnewline
0.59 & 688.178077549068 & 6.69455173176044 \tabularnewline
0.6 & 689.644729183439 & 6.35504881807343 \tabularnewline
0.61 & 691.049398997079 & 6.0747446851188 \tabularnewline
0.62 & 692.406330547786 & 5.85579509729227 \tabularnewline
0.63 & 693.731635405392 & 5.70773661707245 \tabularnewline
0.64 & 695.044226935536 & 5.63941570297326 \tabularnewline
0.65 & 696.366928988577 & 5.67236386174485 \tabularnewline
0.66 & 697.727223442236 & 5.82703774563532 \tabularnewline
0.67 & 699.156958338694 & 6.12612249314769 \tabularnewline
0.68 & 700.690392356246 & 6.57758246213601 \tabularnewline
0.69 & 702.360286905722 & 7.16463440811856 \tabularnewline
0.7 & 704.192361143613 & 7.84370923901179 \tabularnewline
0.71 & 706.199156853476 & 8.54046630151551 \tabularnewline
0.72 & 708.374971723345 & 9.16621833028908 \tabularnewline
0.73 & 710.693727107278 & 9.62955840146083 \tabularnewline
0.74 & 713.11122525176 & 9.85978364294586 \tabularnewline
0.75 & 715.572188018424 & 9.82450733260902 \tabularnewline
0.76 & 718.020980430443 & 9.54292215035983 \tabularnewline
0.77 & 720.41348591642 & 9.08365319295481 \tabularnewline
0.78 & 722.726813679169 & 8.55406026876667 \tabularnewline
0.79 & 724.963852222668 & 8.0721016490349 \tabularnewline
0.8 & 727.15120607259 & 7.7355892541543 \tabularnewline
0.81 & 729.331291227568 & 7.59092950831979 \tabularnewline
0.82 & 731.551435686693 & 7.62569463876763 \tabularnewline
0.83 & 733.853875494676 & 7.78444843963362 \tabularnewline
0.84 & 736.270259260605 & 8.00187035377714 \tabularnewline
0.85 & 738.823182172128 & 8.22954769676515 \tabularnewline
0.86 & 741.536176281901 & 8.46260876237148 \tabularnewline
0.87 & 744.452381768702 & 8.75646790636883 \tabularnewline
0.88 & 747.658884214814 & 9.24689695051718 \tabularnewline
0.89 & 751.306148559367 & 10.1365291003505 \tabularnewline
0.9 & 755.602651645191 & 11.5834590052335 \tabularnewline
0.91 & 760.766680360077 & 13.4999131562081 \tabularnewline
0.92 & 766.949388831233 & 15.4540566981333 \tabularnewline
0.93 & 774.204276650946 & 16.8963214570064 \tabularnewline
0.94 & 782.60263309764 & 17.7395871266885 \tabularnewline
0.95 & 792.446186286082 & 18.8495201316091 \tabularnewline
0.96 & 804.16665878049 & 21.0574679925791 \tabularnewline
0.97 & 817.386894892629 & 22.1726938221926 \tabularnewline
0.98 & 829.705844314917 & 17.3915785622812 \tabularnewline
0.99 & 837.568300852817 & 6.97300358645992 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296260&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]523.243010277888[/C][C]8.58816062595099[/C][/ROW]
[ROW][C]0.02[/C][C]532.710127667279[/C][C]19.4402420281364[/C][/ROW]
[ROW][C]0.03[/C][C]546.264302965298[/C][C]22.6944315777123[/C][/ROW]
[ROW][C]0.04[/C][C]559.395157047492[/C][C]18.8728648167346[/C][/ROW]
[ROW][C]0.05[/C][C]569.53655009327[/C][C]13.8001528654671[/C][/ROW]
[ROW][C]0.06[/C][C]576.76062338865[/C][C]10.9820303542793[/C][/ROW]
[ROW][C]0.07[/C][C]582.190795027755[/C][C]10.160736841945[/C][/ROW]
[ROW][C]0.08[/C][C]586.73041478126[/C][C]9.89159919121758[/C][/ROW]
[ROW][C]0.09[/C][C]590.782237571029[/C][C]9.49898421904627[/C][/ROW]
[ROW][C]0.1[/C][C]594.455369410649[/C][C]8.97394020703661[/C][/ROW]
[ROW][C]0.11[/C][C]597.779902181751[/C][C]8.46249506487811[/C][/ROW]
[ROW][C]0.12[/C][C]600.791877566335[/C][C]8.02611581915694[/C][/ROW]
[ROW][C]0.13[/C][C]603.536657255598[/C][C]7.64160339657953[/C][/ROW]
[ROW][C]0.14[/C][C]606.056484733481[/C][C]7.2882424613289[/C][/ROW]
[ROW][C]0.15[/C][C]608.388302525068[/C][C]6.9855884380832[/C][/ROW]
[ROW][C]0.16[/C][C]610.568513111009[/C][C]6.77274444470984[/C][/ROW]
[ROW][C]0.17[/C][C]612.635230492053[/C][C]6.67764367203087[/C][/ROW]
[ROW][C]0.18[/C][C]614.624436604349[/C][C]6.68398438123855[/C][/ROW]
[ROW][C]0.19[/C][C]616.562709297649[/C][C]6.73867296833319[/C][/ROW]
[ROW][C]0.2[/C][C]618.461322951297[/C][C]6.76994532490184[/C][/ROW]
[ROW][C]0.21[/C][C]620.315178102071[/C][C]6.7151618834883[/C][/ROW]
[ROW][C]0.22[/C][C]622.107306558678[/C][C]6.54520613957113[/C][/ROW]
[ROW][C]0.23[/C][C]623.81726501706[/C][C]6.26938623617992[/C][/ROW]
[ROW][C]0.24[/C][C]625.430393442787[/C][C]5.93682572050734[/C][/ROW]
[ROW][C]0.25[/C][C]626.944872617245[/C][C]5.62017373122134[/C][/ROW]
[ROW][C]0.26[/C][C]628.37453619836[/C][C]5.39637769671646[/C][/ROW]
[ROW][C]0.27[/C][C]629.746964631009[/C][C]5.32319230913629[/C][/ROW]
[ROW][C]0.28[/C][C]631.097906436585[/C][C]5.42033774965967[/C][/ROW]
[ROW][C]0.29[/C][C]632.464044052377[/C][C]5.66933244993941[/C][/ROW]
[ROW][C]0.3[/C][C]633.876312067496[/C][C]6.02356874281526[/C][/ROW]
[ROW][C]0.31[/C][C]635.355447176564[/C][C]6.42448407228393[/C][/ROW]
[ROW][C]0.32[/C][C]636.910493136177[/C][C]6.82095532751675[/C][/ROW]
[ROW][C]0.33[/C][C]638.539990133885[/C][C]7.17554291186295[/C][/ROW]
[ROW][C]0.34[/C][C]640.234886156929[/C][C]7.46992906928652[/C][/ROW]
[ROW][C]0.35[/C][C]641.981994288779[/C][C]7.69983721983605[/C][/ROW]
[ROW][C]0.36[/C][C]643.767054389201[/C][C]7.86678633661581[/C][/ROW]
[ROW][C]0.37[/C][C]645.576945384686[/C][C]7.98370475085531[/C][/ROW]
[ROW][C]0.38[/C][C]647.401077682493[/C][C]8.05902125848983[/C][/ROW]
[ROW][C]0.39[/C][C]649.232269028066[/C][C]8.10744795086367[/C][/ROW]
[ROW][C]0.4[/C][C]651.067397731381[/C][C]8.14666104753892[/C][/ROW]
[ROW][C]0.41[/C][C]652.907904474628[/C][C]8.19770799299365[/C][/ROW]
[ROW][C]0.42[/C][C]654.759940535816[/C][C]8.28718895585554[/C][/ROW]
[ROW][C]0.43[/C][C]656.633807412409[/C][C]8.43478565389243[/C][/ROW]
[ROW][C]0.44[/C][C]658.542402079194[/C][C]8.65231439618819[/C][/ROW]
[ROW][C]0.45[/C][C]660.498664503572[/C][C]8.93470005566487[/C][/ROW]
[ROW][C]0.46[/C][C]662.512408446756[/C][C]9.25848012087921[/C][/ROW]
[ROW][C]0.47[/C][C]664.587239380348[/C][C]9.58148014526592[/C][/ROW]
[ROW][C]0.48[/C][C]666.718377527049[/C][C]9.856061804728[/C][/ROW]
[ROW][C]0.49[/C][C]668.892040803476[/C][C]10.03544732986[/C][/ROW]
[ROW][C]0.5[/C][C]671.086641903297[/C][C]10.0862975723903[/C][/ROW]
[ROW][C]0.51[/C][C]673.275551844859[/C][C]9.99284423652509[/C][/ROW]
[ROW][C]0.52[/C][C]675.430757464521[/C][C]9.75949062038433[/C][/ROW]
[ROW][C]0.53[/C][C]677.526540637419[/C][C]9.40874603309932[/C][/ROW]
[ROW][C]0.54[/C][C]679.542389275682[/C][C]8.97447463400704[/C][/ROW]
[ROW][C]0.55[/C][C]681.464659723589[/C][C]8.49438119768918[/C][/ROW]
[ROW][C]0.56[/C][C]683.286911577068[/C][C]8.00303536215389[/C][/ROW]
[ROW][C]0.57[/C][C]685.00917901543[/C][C]7.52737892257448[/C][/ROW]
[ROW][C]0.58[/C][C]686.636629416868[/C][C]7.08802893608089[/C][/ROW]
[ROW][C]0.59[/C][C]688.178077549068[/C][C]6.69455173176044[/C][/ROW]
[ROW][C]0.6[/C][C]689.644729183439[/C][C]6.35504881807343[/C][/ROW]
[ROW][C]0.61[/C][C]691.049398997079[/C][C]6.0747446851188[/C][/ROW]
[ROW][C]0.62[/C][C]692.406330547786[/C][C]5.85579509729227[/C][/ROW]
[ROW][C]0.63[/C][C]693.731635405392[/C][C]5.70773661707245[/C][/ROW]
[ROW][C]0.64[/C][C]695.044226935536[/C][C]5.63941570297326[/C][/ROW]
[ROW][C]0.65[/C][C]696.366928988577[/C][C]5.67236386174485[/C][/ROW]
[ROW][C]0.66[/C][C]697.727223442236[/C][C]5.82703774563532[/C][/ROW]
[ROW][C]0.67[/C][C]699.156958338694[/C][C]6.12612249314769[/C][/ROW]
[ROW][C]0.68[/C][C]700.690392356246[/C][C]6.57758246213601[/C][/ROW]
[ROW][C]0.69[/C][C]702.360286905722[/C][C]7.16463440811856[/C][/ROW]
[ROW][C]0.7[/C][C]704.192361143613[/C][C]7.84370923901179[/C][/ROW]
[ROW][C]0.71[/C][C]706.199156853476[/C][C]8.54046630151551[/C][/ROW]
[ROW][C]0.72[/C][C]708.374971723345[/C][C]9.16621833028908[/C][/ROW]
[ROW][C]0.73[/C][C]710.693727107278[/C][C]9.62955840146083[/C][/ROW]
[ROW][C]0.74[/C][C]713.11122525176[/C][C]9.85978364294586[/C][/ROW]
[ROW][C]0.75[/C][C]715.572188018424[/C][C]9.82450733260902[/C][/ROW]
[ROW][C]0.76[/C][C]718.020980430443[/C][C]9.54292215035983[/C][/ROW]
[ROW][C]0.77[/C][C]720.41348591642[/C][C]9.08365319295481[/C][/ROW]
[ROW][C]0.78[/C][C]722.726813679169[/C][C]8.55406026876667[/C][/ROW]
[ROW][C]0.79[/C][C]724.963852222668[/C][C]8.0721016490349[/C][/ROW]
[ROW][C]0.8[/C][C]727.15120607259[/C][C]7.7355892541543[/C][/ROW]
[ROW][C]0.81[/C][C]729.331291227568[/C][C]7.59092950831979[/C][/ROW]
[ROW][C]0.82[/C][C]731.551435686693[/C][C]7.62569463876763[/C][/ROW]
[ROW][C]0.83[/C][C]733.853875494676[/C][C]7.78444843963362[/C][/ROW]
[ROW][C]0.84[/C][C]736.270259260605[/C][C]8.00187035377714[/C][/ROW]
[ROW][C]0.85[/C][C]738.823182172128[/C][C]8.22954769676515[/C][/ROW]
[ROW][C]0.86[/C][C]741.536176281901[/C][C]8.46260876237148[/C][/ROW]
[ROW][C]0.87[/C][C]744.452381768702[/C][C]8.75646790636883[/C][/ROW]
[ROW][C]0.88[/C][C]747.658884214814[/C][C]9.24689695051718[/C][/ROW]
[ROW][C]0.89[/C][C]751.306148559367[/C][C]10.1365291003505[/C][/ROW]
[ROW][C]0.9[/C][C]755.602651645191[/C][C]11.5834590052335[/C][/ROW]
[ROW][C]0.91[/C][C]760.766680360077[/C][C]13.4999131562081[/C][/ROW]
[ROW][C]0.92[/C][C]766.949388831233[/C][C]15.4540566981333[/C][/ROW]
[ROW][C]0.93[/C][C]774.204276650946[/C][C]16.8963214570064[/C][/ROW]
[ROW][C]0.94[/C][C]782.60263309764[/C][C]17.7395871266885[/C][/ROW]
[ROW][C]0.95[/C][C]792.446186286082[/C][C]18.8495201316091[/C][/ROW]
[ROW][C]0.96[/C][C]804.16665878049[/C][C]21.0574679925791[/C][/ROW]
[ROW][C]0.97[/C][C]817.386894892629[/C][C]22.1726938221926[/C][/ROW]
[ROW][C]0.98[/C][C]829.705844314917[/C][C]17.3915785622812[/C][/ROW]
[ROW][C]0.99[/C][C]837.568300852817[/C][C]6.97300358645992[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296260&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296260&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
0.01523.2430102778888.58816062595099
0.02532.71012766727919.4402420281364
0.03546.26430296529822.6944315777123
0.04559.39515704749218.8728648167346
0.05569.5365500932713.8001528654671
0.06576.7606233886510.9820303542793
0.07582.19079502775510.160736841945
0.08586.730414781269.89159919121758
0.09590.7822375710299.49898421904627
0.1594.4553694106498.97394020703661
0.11597.7799021817518.46249506487811
0.12600.7918775663358.02611581915694
0.13603.5366572555987.64160339657953
0.14606.0564847334817.2882424613289
0.15608.3883025250686.9855884380832
0.16610.5685131110096.77274444470984
0.17612.6352304920536.67764367203087
0.18614.6244366043496.68398438123855
0.19616.5627092976496.73867296833319
0.2618.4613229512976.76994532490184
0.21620.3151781020716.7151618834883
0.22622.1073065586786.54520613957113
0.23623.817265017066.26938623617992
0.24625.4303934427875.93682572050734
0.25626.9448726172455.62017373122134
0.26628.374536198365.39637769671646
0.27629.7469646310095.32319230913629
0.28631.0979064365855.42033774965967
0.29632.4640440523775.66933244993941
0.3633.8763120674966.02356874281526
0.31635.3554471765646.42448407228393
0.32636.9104931361776.82095532751675
0.33638.5399901338857.17554291186295
0.34640.2348861569297.46992906928652
0.35641.9819942887797.69983721983605
0.36643.7670543892017.86678633661581
0.37645.5769453846867.98370475085531
0.38647.4010776824938.05902125848983
0.39649.2322690280668.10744795086367
0.4651.0673977313818.14666104753892
0.41652.9079044746288.19770799299365
0.42654.7599405358168.28718895585554
0.43656.6338074124098.43478565389243
0.44658.5424020791948.65231439618819
0.45660.4986645035728.93470005566487
0.46662.5124084467569.25848012087921
0.47664.5872393803489.58148014526592
0.48666.7183775270499.856061804728
0.49668.89204080347610.03544732986
0.5671.08664190329710.0862975723903
0.51673.2755518448599.99284423652509
0.52675.4307574645219.75949062038433
0.53677.5265406374199.40874603309932
0.54679.5423892756828.97447463400704
0.55681.4646597235898.49438119768918
0.56683.2869115770688.00303536215389
0.57685.009179015437.52737892257448
0.58686.6366294168687.08802893608089
0.59688.1780775490686.69455173176044
0.6689.6447291834396.35504881807343
0.61691.0493989970796.0747446851188
0.62692.4063305477865.85579509729227
0.63693.7316354053925.70773661707245
0.64695.0442269355365.63941570297326
0.65696.3669289885775.67236386174485
0.66697.7272234422365.82703774563532
0.67699.1569583386946.12612249314769
0.68700.6903923562466.57758246213601
0.69702.3602869057227.16463440811856
0.7704.1923611436137.84370923901179
0.71706.1991568534768.54046630151551
0.72708.3749717233459.16621833028908
0.73710.6937271072789.62955840146083
0.74713.111225251769.85978364294586
0.75715.5721880184249.82450733260902
0.76718.0209804304439.54292215035983
0.77720.413485916429.08365319295481
0.78722.7268136791698.55406026876667
0.79724.9638522226688.0721016490349
0.8727.151206072597.7355892541543
0.81729.3312912275687.59092950831979
0.82731.5514356866937.62569463876763
0.83733.8538754946767.78444843963362
0.84736.2702592606058.00187035377714
0.85738.8231821721288.22954769676515
0.86741.5361762819018.46260876237148
0.87744.4523817687028.75646790636883
0.88747.6588842148149.24689695051718
0.89751.30614855936710.1365291003505
0.9755.60265164519111.5834590052335
0.91760.76668036007713.4999131562081
0.92766.94938883123315.4540566981333
0.93774.20427665094616.8963214570064
0.94782.6026330976417.7395871266885
0.95792.44618628608218.8495201316091
0.96804.1666587804921.0574679925791
0.97817.38689489262922.1726938221926
0.98829.70584431491717.3915785622812
0.99837.5683008528176.97300358645992


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')