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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 computationThu, 26 Feb 2015 20:50:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/26/t1424983892ke7uskctzvss45y.htm/, Retrieved Sat, 18 May 2024 07:44:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277721, Retrieved Sat, 18 May 2024 07:44:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact52

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] [] [2015-02-26 20:50:57] [36d9fcfacb97c24df6a506fb08c7a09a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
599
599
599
599
599
599
599
599
599
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
617,06
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
628,18
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
641,08
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
668,21
665,27
665,27
665,27
665,27
665,27
665,27
665,27
665,27
665,27
665,27
665,27
665,27
674,3
674,3
674,3
674,3
674,3
674,3
674,3
674,3
674,3
674,3
674,3
674,3
685,34
685,34
685,34
685,34
685,34
685,34
685,34
685,34
685,34
685,34
685,34
685,34
694,3
694,3
694,3

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=277721&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=277721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277721&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
0.05599.741748895431.90220859167041
0.06600.6517737416723.43851723428064
0.07602.1059644356515.15873263049152
0.08604.0862990053396.60250578871416
0.09606.4313555285947.35631602790854
0.1608.8843870679567.24986892621244
0.11611.1816376322156.40882899538572
0.12613.1336855485125.15846069754235
0.13614.665290214653.86843389995106
0.14615.8083080035372.83269573285091
0.15616.664842634052.23848402543923
0.16617.363424941112.14893159257989
0.17618.0238253523392.4629693647452
0.18618.7358160944282.99495358961659
0.19619.550472663413.58347550344133
0.2620.4805727346594.10126776927745
0.21621.5071973665634.45479924237207
0.22622.5904515292134.59360868921885
0.23623.682324827364.51768517913709
0.24624.7393685700874.27495892167198
0.25625.7327516460873.94908829356615
0.26626.6537919580273.64301964229936
0.27627.5141768706053.45544516543783
0.28628.3413941106563.45522731441395
0.29629.1709618818013.65577493151828
0.3630.0376061306564.01462256363804
0.31630.9675318368614.45578336282195
0.32631.9734752431494.89594717347081
0.33633.0534701438625.26473073087624
0.34634.1933850155125.51582887723084
0.35635.3724499630765.6366298579119
0.36636.5703427945995.65270128121151
0.37637.7740682080285.62424947512358
0.38638.9829182673375.63345829360863
0.39640.210242358185.76846749180483
0.4641.481488807166.09277063774606
0.41642.8288457399966.6225810401148
0.42644.2836100527277.31877845879576
0.43645.867967152868.09784499656178
0.44647.5880395775968.8504840252165
0.45649.4298112150939.46249683338833
0.46651.3589045771889.83473381861987
0.47653.3243237498289.89823504691827
0.48655.265383348469.62811378218827
0.49657.1203471504969.04472547193695
0.5658.8349746175088.20684476203002
0.51660.3692931286467.20260799132379
0.52661.7014267441066.1301372756573
0.53662.828059480835.08270779389574
0.54663.7618798275764.13520078583318
0.55664.5269466680553.33532107619706
0.56665.1532109329132.70443451272806
0.57665.6713968164692.23688928118161
0.58666.1091543897811.90730249282819
0.59666.4889578026011.67968394563612
0.6666.8277654117531.52025955753128
0.61667.1380806986921.40445712448918
0.62667.4298146400831.32279395226561
0.63667.7122687468061.2788608330718
0.64667.9956204059171.28572637065701
0.65668.291468867821.35569044087106
0.66668.6122546853131.49213143372877
0.67668.9696571721541.68652709193033
0.68669.3723570614671.91563816974506
0.69669.8237708131112.14576427110259
0.7670.3204620180852.34140897559733
0.71670.8518694924662.46830750806445
0.72671.4017497725612.50437779959566
0.73671.9513514622482.44323935718293
0.74672.4839031177372.29880757412503
0.75672.9896062167222.10862882167817
0.76673.4700619021321.92867565298173
0.77673.9409646460861.83204818541808
0.78674.4319814364031.89295770270948
0.79674.9830342990462.1551839356764
0.8675.6367974014692.60371430227082
0.81676.4281857232033.17175646646234
0.82677.3728794073963.7548483289619
0.83678.4581163943844.23032808438416
0.84679.639406564474.48025046586253
0.85680.8457795060794.42511770422541
0.86681.9935238537234.05048770121868
0.87683.0049427973153.41619416541719
0.88683.8261424460322.63887255291003
0.89684.4380344048871.85553377743483
0.9684.8582412342451.18298454890469
0.91685.1373422975840.695782019193337
0.92685.3578985749660.454634360385929
0.93685.6437440654280.599651082242458
0.94686.1727001716361.20447378656432
0.95687.1555937308732.23738908235264

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 599.74174889543 & 1.90220859167041 \tabularnewline
0.06 & 600.651773741672 & 3.43851723428064 \tabularnewline
0.07 & 602.105964435651 & 5.15873263049152 \tabularnewline
0.08 & 604.086299005339 & 6.60250578871416 \tabularnewline
0.09 & 606.431355528594 & 7.35631602790854 \tabularnewline
0.1 & 608.884387067956 & 7.24986892621244 \tabularnewline
0.11 & 611.181637632215 & 6.40882899538572 \tabularnewline
0.12 & 613.133685548512 & 5.15846069754235 \tabularnewline
0.13 & 614.66529021465 & 3.86843389995106 \tabularnewline
0.14 & 615.808308003537 & 2.83269573285091 \tabularnewline
0.15 & 616.66484263405 & 2.23848402543923 \tabularnewline
0.16 & 617.36342494111 & 2.14893159257989 \tabularnewline
0.17 & 618.023825352339 & 2.4629693647452 \tabularnewline
0.18 & 618.735816094428 & 2.99495358961659 \tabularnewline
0.19 & 619.55047266341 & 3.58347550344133 \tabularnewline
0.2 & 620.480572734659 & 4.10126776927745 \tabularnewline
0.21 & 621.507197366563 & 4.45479924237207 \tabularnewline
0.22 & 622.590451529213 & 4.59360868921885 \tabularnewline
0.23 & 623.68232482736 & 4.51768517913709 \tabularnewline
0.24 & 624.739368570087 & 4.27495892167198 \tabularnewline
0.25 & 625.732751646087 & 3.94908829356615 \tabularnewline
0.26 & 626.653791958027 & 3.64301964229936 \tabularnewline
0.27 & 627.514176870605 & 3.45544516543783 \tabularnewline
0.28 & 628.341394110656 & 3.45522731441395 \tabularnewline
0.29 & 629.170961881801 & 3.65577493151828 \tabularnewline
0.3 & 630.037606130656 & 4.01462256363804 \tabularnewline
0.31 & 630.967531836861 & 4.45578336282195 \tabularnewline
0.32 & 631.973475243149 & 4.89594717347081 \tabularnewline
0.33 & 633.053470143862 & 5.26473073087624 \tabularnewline
0.34 & 634.193385015512 & 5.51582887723084 \tabularnewline
0.35 & 635.372449963076 & 5.6366298579119 \tabularnewline
0.36 & 636.570342794599 & 5.65270128121151 \tabularnewline
0.37 & 637.774068208028 & 5.62424947512358 \tabularnewline
0.38 & 638.982918267337 & 5.63345829360863 \tabularnewline
0.39 & 640.21024235818 & 5.76846749180483 \tabularnewline
0.4 & 641.48148880716 & 6.09277063774606 \tabularnewline
0.41 & 642.828845739996 & 6.6225810401148 \tabularnewline
0.42 & 644.283610052727 & 7.31877845879576 \tabularnewline
0.43 & 645.86796715286 & 8.09784499656178 \tabularnewline
0.44 & 647.588039577596 & 8.8504840252165 \tabularnewline
0.45 & 649.429811215093 & 9.46249683338833 \tabularnewline
0.46 & 651.358904577188 & 9.83473381861987 \tabularnewline
0.47 & 653.324323749828 & 9.89823504691827 \tabularnewline
0.48 & 655.26538334846 & 9.62811378218827 \tabularnewline
0.49 & 657.120347150496 & 9.04472547193695 \tabularnewline
0.5 & 658.834974617508 & 8.20684476203002 \tabularnewline
0.51 & 660.369293128646 & 7.20260799132379 \tabularnewline
0.52 & 661.701426744106 & 6.1301372756573 \tabularnewline
0.53 & 662.82805948083 & 5.08270779389574 \tabularnewline
0.54 & 663.761879827576 & 4.13520078583318 \tabularnewline
0.55 & 664.526946668055 & 3.33532107619706 \tabularnewline
0.56 & 665.153210932913 & 2.70443451272806 \tabularnewline
0.57 & 665.671396816469 & 2.23688928118161 \tabularnewline
0.58 & 666.109154389781 & 1.90730249282819 \tabularnewline
0.59 & 666.488957802601 & 1.67968394563612 \tabularnewline
0.6 & 666.827765411753 & 1.52025955753128 \tabularnewline
0.61 & 667.138080698692 & 1.40445712448918 \tabularnewline
0.62 & 667.429814640083 & 1.32279395226561 \tabularnewline
0.63 & 667.712268746806 & 1.2788608330718 \tabularnewline
0.64 & 667.995620405917 & 1.28572637065701 \tabularnewline
0.65 & 668.29146886782 & 1.35569044087106 \tabularnewline
0.66 & 668.612254685313 & 1.49213143372877 \tabularnewline
0.67 & 668.969657172154 & 1.68652709193033 \tabularnewline
0.68 & 669.372357061467 & 1.91563816974506 \tabularnewline
0.69 & 669.823770813111 & 2.14576427110259 \tabularnewline
0.7 & 670.320462018085 & 2.34140897559733 \tabularnewline
0.71 & 670.851869492466 & 2.46830750806445 \tabularnewline
0.72 & 671.401749772561 & 2.50437779959566 \tabularnewline
0.73 & 671.951351462248 & 2.44323935718293 \tabularnewline
0.74 & 672.483903117737 & 2.29880757412503 \tabularnewline
0.75 & 672.989606216722 & 2.10862882167817 \tabularnewline
0.76 & 673.470061902132 & 1.92867565298173 \tabularnewline
0.77 & 673.940964646086 & 1.83204818541808 \tabularnewline
0.78 & 674.431981436403 & 1.89295770270948 \tabularnewline
0.79 & 674.983034299046 & 2.1551839356764 \tabularnewline
0.8 & 675.636797401469 & 2.60371430227082 \tabularnewline
0.81 & 676.428185723203 & 3.17175646646234 \tabularnewline
0.82 & 677.372879407396 & 3.7548483289619 \tabularnewline
0.83 & 678.458116394384 & 4.23032808438416 \tabularnewline
0.84 & 679.63940656447 & 4.48025046586253 \tabularnewline
0.85 & 680.845779506079 & 4.42511770422541 \tabularnewline
0.86 & 681.993523853723 & 4.05048770121868 \tabularnewline
0.87 & 683.004942797315 & 3.41619416541719 \tabularnewline
0.88 & 683.826142446032 & 2.63887255291003 \tabularnewline
0.89 & 684.438034404887 & 1.85553377743483 \tabularnewline
0.9 & 684.858241234245 & 1.18298454890469 \tabularnewline
0.91 & 685.137342297584 & 0.695782019193337 \tabularnewline
0.92 & 685.357898574966 & 0.454634360385929 \tabularnewline
0.93 & 685.643744065428 & 0.599651082242458 \tabularnewline
0.94 & 686.172700171636 & 1.20447378656432 \tabularnewline
0.95 & 687.155593730873 & 2.23738908235264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277721&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]599.74174889543[/C][C]1.90220859167041[/C][/ROW]
[ROW][C]0.06[/C][C]600.651773741672[/C][C]3.43851723428064[/C][/ROW]
[ROW][C]0.07[/C][C]602.105964435651[/C][C]5.15873263049152[/C][/ROW]
[ROW][C]0.08[/C][C]604.086299005339[/C][C]6.60250578871416[/C][/ROW]
[ROW][C]0.09[/C][C]606.431355528594[/C][C]7.35631602790854[/C][/ROW]
[ROW][C]0.1[/C][C]608.884387067956[/C][C]7.24986892621244[/C][/ROW]
[ROW][C]0.11[/C][C]611.181637632215[/C][C]6.40882899538572[/C][/ROW]
[ROW][C]0.12[/C][C]613.133685548512[/C][C]5.15846069754235[/C][/ROW]
[ROW][C]0.13[/C][C]614.66529021465[/C][C]3.86843389995106[/C][/ROW]
[ROW][C]0.14[/C][C]615.808308003537[/C][C]2.83269573285091[/C][/ROW]
[ROW][C]0.15[/C][C]616.66484263405[/C][C]2.23848402543923[/C][/ROW]
[ROW][C]0.16[/C][C]617.36342494111[/C][C]2.14893159257989[/C][/ROW]
[ROW][C]0.17[/C][C]618.023825352339[/C][C]2.4629693647452[/C][/ROW]
[ROW][C]0.18[/C][C]618.735816094428[/C][C]2.99495358961659[/C][/ROW]
[ROW][C]0.19[/C][C]619.55047266341[/C][C]3.58347550344133[/C][/ROW]
[ROW][C]0.2[/C][C]620.480572734659[/C][C]4.10126776927745[/C][/ROW]
[ROW][C]0.21[/C][C]621.507197366563[/C][C]4.45479924237207[/C][/ROW]
[ROW][C]0.22[/C][C]622.590451529213[/C][C]4.59360868921885[/C][/ROW]
[ROW][C]0.23[/C][C]623.68232482736[/C][C]4.51768517913709[/C][/ROW]
[ROW][C]0.24[/C][C]624.739368570087[/C][C]4.27495892167198[/C][/ROW]
[ROW][C]0.25[/C][C]625.732751646087[/C][C]3.94908829356615[/C][/ROW]
[ROW][C]0.26[/C][C]626.653791958027[/C][C]3.64301964229936[/C][/ROW]
[ROW][C]0.27[/C][C]627.514176870605[/C][C]3.45544516543783[/C][/ROW]
[ROW][C]0.28[/C][C]628.341394110656[/C][C]3.45522731441395[/C][/ROW]
[ROW][C]0.29[/C][C]629.170961881801[/C][C]3.65577493151828[/C][/ROW]
[ROW][C]0.3[/C][C]630.037606130656[/C][C]4.01462256363804[/C][/ROW]
[ROW][C]0.31[/C][C]630.967531836861[/C][C]4.45578336282195[/C][/ROW]
[ROW][C]0.32[/C][C]631.973475243149[/C][C]4.89594717347081[/C][/ROW]
[ROW][C]0.33[/C][C]633.053470143862[/C][C]5.26473073087624[/C][/ROW]
[ROW][C]0.34[/C][C]634.193385015512[/C][C]5.51582887723084[/C][/ROW]
[ROW][C]0.35[/C][C]635.372449963076[/C][C]5.6366298579119[/C][/ROW]
[ROW][C]0.36[/C][C]636.570342794599[/C][C]5.65270128121151[/C][/ROW]
[ROW][C]0.37[/C][C]637.774068208028[/C][C]5.62424947512358[/C][/ROW]
[ROW][C]0.38[/C][C]638.982918267337[/C][C]5.63345829360863[/C][/ROW]
[ROW][C]0.39[/C][C]640.21024235818[/C][C]5.76846749180483[/C][/ROW]
[ROW][C]0.4[/C][C]641.48148880716[/C][C]6.09277063774606[/C][/ROW]
[ROW][C]0.41[/C][C]642.828845739996[/C][C]6.6225810401148[/C][/ROW]
[ROW][C]0.42[/C][C]644.283610052727[/C][C]7.31877845879576[/C][/ROW]
[ROW][C]0.43[/C][C]645.86796715286[/C][C]8.09784499656178[/C][/ROW]
[ROW][C]0.44[/C][C]647.588039577596[/C][C]8.8504840252165[/C][/ROW]
[ROW][C]0.45[/C][C]649.429811215093[/C][C]9.46249683338833[/C][/ROW]
[ROW][C]0.46[/C][C]651.358904577188[/C][C]9.83473381861987[/C][/ROW]
[ROW][C]0.47[/C][C]653.324323749828[/C][C]9.89823504691827[/C][/ROW]
[ROW][C]0.48[/C][C]655.26538334846[/C][C]9.62811378218827[/C][/ROW]
[ROW][C]0.49[/C][C]657.120347150496[/C][C]9.04472547193695[/C][/ROW]
[ROW][C]0.5[/C][C]658.834974617508[/C][C]8.20684476203002[/C][/ROW]
[ROW][C]0.51[/C][C]660.369293128646[/C][C]7.20260799132379[/C][/ROW]
[ROW][C]0.52[/C][C]661.701426744106[/C][C]6.1301372756573[/C][/ROW]
[ROW][C]0.53[/C][C]662.82805948083[/C][C]5.08270779389574[/C][/ROW]
[ROW][C]0.54[/C][C]663.761879827576[/C][C]4.13520078583318[/C][/ROW]
[ROW][C]0.55[/C][C]664.526946668055[/C][C]3.33532107619706[/C][/ROW]
[ROW][C]0.56[/C][C]665.153210932913[/C][C]2.70443451272806[/C][/ROW]
[ROW][C]0.57[/C][C]665.671396816469[/C][C]2.23688928118161[/C][/ROW]
[ROW][C]0.58[/C][C]666.109154389781[/C][C]1.90730249282819[/C][/ROW]
[ROW][C]0.59[/C][C]666.488957802601[/C][C]1.67968394563612[/C][/ROW]
[ROW][C]0.6[/C][C]666.827765411753[/C][C]1.52025955753128[/C][/ROW]
[ROW][C]0.61[/C][C]667.138080698692[/C][C]1.40445712448918[/C][/ROW]
[ROW][C]0.62[/C][C]667.429814640083[/C][C]1.32279395226561[/C][/ROW]
[ROW][C]0.63[/C][C]667.712268746806[/C][C]1.2788608330718[/C][/ROW]
[ROW][C]0.64[/C][C]667.995620405917[/C][C]1.28572637065701[/C][/ROW]
[ROW][C]0.65[/C][C]668.29146886782[/C][C]1.35569044087106[/C][/ROW]
[ROW][C]0.66[/C][C]668.612254685313[/C][C]1.49213143372877[/C][/ROW]
[ROW][C]0.67[/C][C]668.969657172154[/C][C]1.68652709193033[/C][/ROW]
[ROW][C]0.68[/C][C]669.372357061467[/C][C]1.91563816974506[/C][/ROW]
[ROW][C]0.69[/C][C]669.823770813111[/C][C]2.14576427110259[/C][/ROW]
[ROW][C]0.7[/C][C]670.320462018085[/C][C]2.34140897559733[/C][/ROW]
[ROW][C]0.71[/C][C]670.851869492466[/C][C]2.46830750806445[/C][/ROW]
[ROW][C]0.72[/C][C]671.401749772561[/C][C]2.50437779959566[/C][/ROW]
[ROW][C]0.73[/C][C]671.951351462248[/C][C]2.44323935718293[/C][/ROW]
[ROW][C]0.74[/C][C]672.483903117737[/C][C]2.29880757412503[/C][/ROW]
[ROW][C]0.75[/C][C]672.989606216722[/C][C]2.10862882167817[/C][/ROW]
[ROW][C]0.76[/C][C]673.470061902132[/C][C]1.92867565298173[/C][/ROW]
[ROW][C]0.77[/C][C]673.940964646086[/C][C]1.83204818541808[/C][/ROW]
[ROW][C]0.78[/C][C]674.431981436403[/C][C]1.89295770270948[/C][/ROW]
[ROW][C]0.79[/C][C]674.983034299046[/C][C]2.1551839356764[/C][/ROW]
[ROW][C]0.8[/C][C]675.636797401469[/C][C]2.60371430227082[/C][/ROW]
[ROW][C]0.81[/C][C]676.428185723203[/C][C]3.17175646646234[/C][/ROW]
[ROW][C]0.82[/C][C]677.372879407396[/C][C]3.7548483289619[/C][/ROW]
[ROW][C]0.83[/C][C]678.458116394384[/C][C]4.23032808438416[/C][/ROW]
[ROW][C]0.84[/C][C]679.63940656447[/C][C]4.48025046586253[/C][/ROW]
[ROW][C]0.85[/C][C]680.845779506079[/C][C]4.42511770422541[/C][/ROW]
[ROW][C]0.86[/C][C]681.993523853723[/C][C]4.05048770121868[/C][/ROW]
[ROW][C]0.87[/C][C]683.004942797315[/C][C]3.41619416541719[/C][/ROW]
[ROW][C]0.88[/C][C]683.826142446032[/C][C]2.63887255291003[/C][/ROW]
[ROW][C]0.89[/C][C]684.438034404887[/C][C]1.85553377743483[/C][/ROW]
[ROW][C]0.9[/C][C]684.858241234245[/C][C]1.18298454890469[/C][/ROW]
[ROW][C]0.91[/C][C]685.137342297584[/C][C]0.695782019193337[/C][/ROW]
[ROW][C]0.92[/C][C]685.357898574966[/C][C]0.454634360385929[/C][/ROW]
[ROW][C]0.93[/C][C]685.643744065428[/C][C]0.599651082242458[/C][/ROW]
[ROW][C]0.94[/C][C]686.172700171636[/C][C]1.20447378656432[/C][/ROW]
[ROW][C]0.95[/C][C]687.155593730873[/C][C]2.23738908235264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277721&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
0.05599.741748895431.90220859167041
0.06600.6517737416723.43851723428064
0.07602.1059644356515.15873263049152
0.08604.0862990053396.60250578871416
0.09606.4313555285947.35631602790854
0.1608.8843870679567.24986892621244
0.11611.1816376322156.40882899538572
0.12613.1336855485125.15846069754235
0.13614.665290214653.86843389995106
0.14615.8083080035372.83269573285091
0.15616.664842634052.23848402543923
0.16617.363424941112.14893159257989
0.17618.0238253523392.4629693647452
0.18618.7358160944282.99495358961659
0.19619.550472663413.58347550344133
0.2620.4805727346594.10126776927745
0.21621.5071973665634.45479924237207
0.22622.5904515292134.59360868921885
0.23623.682324827364.51768517913709
0.24624.7393685700874.27495892167198
0.25625.7327516460873.94908829356615
0.26626.6537919580273.64301964229936
0.27627.5141768706053.45544516543783
0.28628.3413941106563.45522731441395
0.29629.1709618818013.65577493151828
0.3630.0376061306564.01462256363804
0.31630.9675318368614.45578336282195
0.32631.9734752431494.89594717347081
0.33633.0534701438625.26473073087624
0.34634.1933850155125.51582887723084
0.35635.3724499630765.6366298579119
0.36636.5703427945995.65270128121151
0.37637.7740682080285.62424947512358
0.38638.9829182673375.63345829360863
0.39640.210242358185.76846749180483
0.4641.481488807166.09277063774606
0.41642.8288457399966.6225810401148
0.42644.2836100527277.31877845879576
0.43645.867967152868.09784499656178
0.44647.5880395775968.8504840252165
0.45649.4298112150939.46249683338833
0.46651.3589045771889.83473381861987
0.47653.3243237498289.89823504691827
0.48655.265383348469.62811378218827
0.49657.1203471504969.04472547193695
0.5658.8349746175088.20684476203002
0.51660.3692931286467.20260799132379
0.52661.7014267441066.1301372756573
0.53662.828059480835.08270779389574
0.54663.7618798275764.13520078583318
0.55664.5269466680553.33532107619706
0.56665.1532109329132.70443451272806
0.57665.6713968164692.23688928118161
0.58666.1091543897811.90730249282819
0.59666.4889578026011.67968394563612
0.6666.8277654117531.52025955753128
0.61667.1380806986921.40445712448918
0.62667.4298146400831.32279395226561
0.63667.7122687468061.2788608330718
0.64667.9956204059171.28572637065701
0.65668.291468867821.35569044087106
0.66668.6122546853131.49213143372877
0.67668.9696571721541.68652709193033
0.68669.3723570614671.91563816974506
0.69669.8237708131112.14576427110259
0.7670.3204620180852.34140897559733
0.71670.8518694924662.46830750806445
0.72671.4017497725612.50437779959566
0.73671.9513514622482.44323935718293
0.74672.4839031177372.29880757412503
0.75672.9896062167222.10862882167817
0.76673.4700619021321.92867565298173
0.77673.9409646460861.83204818541808
0.78674.4319814364031.89295770270948
0.79674.9830342990462.1551839356764
0.8675.6367974014692.60371430227082
0.81676.4281857232033.17175646646234
0.82677.3728794073963.7548483289619
0.83678.4581163943844.23032808438416
0.84679.639406564474.48025046586253
0.85680.8457795060794.42511770422541
0.86681.9935238537234.05048770121868
0.87683.0049427973153.41619416541719
0.88683.8261424460322.63887255291003
0.89684.4380344048871.85553377743483
0.9684.8582412342451.18298454890469
0.91685.1373422975840.695782019193337
0.92685.3578985749660.454634360385929
0.93685.6437440654280.599651082242458
0.94686.1727001716361.20447378656432
0.95687.1555937308732.23738908235264


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.95'
par1 <- '0.05'
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')