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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, 14 Dec 2016 10:39:24 +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/2016/Dec/14/t1481712316ps7q0uoik8ff0le.htm/, Retrieved Sat, 04 May 2024 02:06:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 02:06:03 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
662
670
659
663
673
699
712
700
692
699
700
702
693
696
696
694
695
715
731
715
707
712
699
703
695
694
691
694
699
720
732
712
705
707
700
687
674
676
666
669
669
688
705
684
679
689
691
685
690
685
688
696
693
721
726
704
700
707
696
687

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01659.7268691073112.67733033699074
0.02660.8470312795132.48434323161585
0.03662.1126144112512.56681458035358
0.04663.3862232368812.82265546669639
0.05664.6247856124713.06362069862714
0.06665.8214528230753.20733860018336
0.07666.9758554752093.27955518439801
0.08668.0910084783243.35119386074312
0.09669.1771345792493.4885305503431
0.1670.2516539952063.71675886897705
0.11671.3347065399794.02401303576793
0.12672.4434060990134.37225394404613
0.13673.5875349281974.71982185624957
0.14674.7676982640095.02491474572546
0.15675.9757096552065.25400811975287
0.16677.1964755867735.38362884877249
0.17678.4106381140535.40090824747404
0.18679.5974025923665.30507084041248
0.19680.7371451285615.10814266423206
0.2681.8135167220944.82988164499291
0.21682.8148602912464.49845473929213
0.22683.7348598447374.14027464244825
0.23684.5724519246883.78535270944493
0.24685.3311310629763.45403889633523
0.25686.0178508311343.16344813352623
0.26686.6417464109092.92230539020072
0.27687.2128843950572.73223163507672
0.28687.7411937670952.58878660603358
0.29688.2356669306732.48513225035049
0.3688.7038578511392.41167828042772
0.31689.1516566397362.35789704020651
0.32689.5832903687832.31499567899676
0.33690.0014873787752.27739948841027
0.34690.407742695592.23783193818807
0.35690.8026304829532.19430517003336
0.36691.1861213855992.14492541132465
0.37691.5578750702242.08886733543345
0.38691.9174894088562.02772724537659
0.39692.26469674741.96344467313749
0.4692.5995044071.89782945669176
0.41692.9222811921361.83405848909698
0.42693.2337945887181.77481833235072
0.43693.535204906851.72351869591997
0.44693.8280232038811.68083321946511
0.45694.1140397415311.649669964535
0.46694.3952293304931.63107763593365
0.47694.6736395763351.6253324271426
0.48694.9512681431331.63166561773869
0.49695.229935982141.64858215565412
0.5695.5111650901831.67456440133323
0.51695.7960714804321.70552009175534
0.52696.0852860064851.73859085921255
0.53696.3789165440831.76997256319746
0.54696.6765638252311.79505369288458
0.55696.9773992287291.81296940495872
0.56697.2803059210491.819209835046
0.57697.5840755283321.81455903312681
0.58697.8876423692091.8003069632881
0.59698.1903280867391.7790045388859
0.6698.4920633355291.75560799491974
0.61698.7935517575481.73635845018864
0.62699.0963458571351.72769917915395
0.63699.4028146130091.73596068949891
0.64699.7159977076451.76473704174212
0.65700.0393590846881.81672994180577
0.66700.3764703971661.89163346231715
0.67700.7306696561191.9848446974667
0.68701.1047490013562.09147856965261
0.69701.5007255643032.20345700123145
0.7701.9197395509862.31514363584122
0.71702.36210416352.41911793301102
0.72702.8275048890322.51317836107071
0.73703.3153150772412.59478537917241
0.74703.8249664320222.6657066338499
0.75704.3562940500992.72976455122621
0.76704.9097729364752.79325945132742
0.77705.4865817488092.86056784846103
0.78706.0884710856032.93596657080469
0.79706.71747283453.01996675173133
0.8707.3755511101563.10912101603278
0.81708.0643443771993.19785332392511
0.82708.7851599773643.27906167303
0.83709.5393391276613.34761834071212
0.84710.3290104830293.40334698761946
0.85711.1581153974513.45369918954659
0.86712.0334650632613.51227162431017
0.87712.9655384574223.59596234297793
0.88713.968792660553.71992931917573
0.89715.0614139489233.89103787044911
0.9716.2645680392554.10601584080852
0.91717.6010952996144.35305215226428
0.92719.0930432241424.61762674104554
0.93720.7565094944524.88044303265234
0.94722.5916628684685.10297281737111
0.95724.5668872713785.2008683658514
0.96726.6001278911585.02752373434983
0.97728.5473363352064.41062512203504
0.98730.2136666788083.28614608049729
0.99731.4018537972141.9119888659942

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 659.726869107311 & 2.67733033699074 \tabularnewline
0.02 & 660.847031279513 & 2.48434323161585 \tabularnewline
0.03 & 662.112614411251 & 2.56681458035358 \tabularnewline
0.04 & 663.386223236881 & 2.82265546669639 \tabularnewline
0.05 & 664.624785612471 & 3.06362069862714 \tabularnewline
0.06 & 665.821452823075 & 3.20733860018336 \tabularnewline
0.07 & 666.975855475209 & 3.27955518439801 \tabularnewline
0.08 & 668.091008478324 & 3.35119386074312 \tabularnewline
0.09 & 669.177134579249 & 3.4885305503431 \tabularnewline
0.1 & 670.251653995206 & 3.71675886897705 \tabularnewline
0.11 & 671.334706539979 & 4.02401303576793 \tabularnewline
0.12 & 672.443406099013 & 4.37225394404613 \tabularnewline
0.13 & 673.587534928197 & 4.71982185624957 \tabularnewline
0.14 & 674.767698264009 & 5.02491474572546 \tabularnewline
0.15 & 675.975709655206 & 5.25400811975287 \tabularnewline
0.16 & 677.196475586773 & 5.38362884877249 \tabularnewline
0.17 & 678.410638114053 & 5.40090824747404 \tabularnewline
0.18 & 679.597402592366 & 5.30507084041248 \tabularnewline
0.19 & 680.737145128561 & 5.10814266423206 \tabularnewline
0.2 & 681.813516722094 & 4.82988164499291 \tabularnewline
0.21 & 682.814860291246 & 4.49845473929213 \tabularnewline
0.22 & 683.734859844737 & 4.14027464244825 \tabularnewline
0.23 & 684.572451924688 & 3.78535270944493 \tabularnewline
0.24 & 685.331131062976 & 3.45403889633523 \tabularnewline
0.25 & 686.017850831134 & 3.16344813352623 \tabularnewline
0.26 & 686.641746410909 & 2.92230539020072 \tabularnewline
0.27 & 687.212884395057 & 2.73223163507672 \tabularnewline
0.28 & 687.741193767095 & 2.58878660603358 \tabularnewline
0.29 & 688.235666930673 & 2.48513225035049 \tabularnewline
0.3 & 688.703857851139 & 2.41167828042772 \tabularnewline
0.31 & 689.151656639736 & 2.35789704020651 \tabularnewline
0.32 & 689.583290368783 & 2.31499567899676 \tabularnewline
0.33 & 690.001487378775 & 2.27739948841027 \tabularnewline
0.34 & 690.40774269559 & 2.23783193818807 \tabularnewline
0.35 & 690.802630482953 & 2.19430517003336 \tabularnewline
0.36 & 691.186121385599 & 2.14492541132465 \tabularnewline
0.37 & 691.557875070224 & 2.08886733543345 \tabularnewline
0.38 & 691.917489408856 & 2.02772724537659 \tabularnewline
0.39 & 692.2646967474 & 1.96344467313749 \tabularnewline
0.4 & 692.599504407 & 1.89782945669176 \tabularnewline
0.41 & 692.922281192136 & 1.83405848909698 \tabularnewline
0.42 & 693.233794588718 & 1.77481833235072 \tabularnewline
0.43 & 693.53520490685 & 1.72351869591997 \tabularnewline
0.44 & 693.828023203881 & 1.68083321946511 \tabularnewline
0.45 & 694.114039741531 & 1.649669964535 \tabularnewline
0.46 & 694.395229330493 & 1.63107763593365 \tabularnewline
0.47 & 694.673639576335 & 1.6253324271426 \tabularnewline
0.48 & 694.951268143133 & 1.63166561773869 \tabularnewline
0.49 & 695.22993598214 & 1.64858215565412 \tabularnewline
0.5 & 695.511165090183 & 1.67456440133323 \tabularnewline
0.51 & 695.796071480432 & 1.70552009175534 \tabularnewline
0.52 & 696.085286006485 & 1.73859085921255 \tabularnewline
0.53 & 696.378916544083 & 1.76997256319746 \tabularnewline
0.54 & 696.676563825231 & 1.79505369288458 \tabularnewline
0.55 & 696.977399228729 & 1.81296940495872 \tabularnewline
0.56 & 697.280305921049 & 1.819209835046 \tabularnewline
0.57 & 697.584075528332 & 1.81455903312681 \tabularnewline
0.58 & 697.887642369209 & 1.8003069632881 \tabularnewline
0.59 & 698.190328086739 & 1.7790045388859 \tabularnewline
0.6 & 698.492063335529 & 1.75560799491974 \tabularnewline
0.61 & 698.793551757548 & 1.73635845018864 \tabularnewline
0.62 & 699.096345857135 & 1.72769917915395 \tabularnewline
0.63 & 699.402814613009 & 1.73596068949891 \tabularnewline
0.64 & 699.715997707645 & 1.76473704174212 \tabularnewline
0.65 & 700.039359084688 & 1.81672994180577 \tabularnewline
0.66 & 700.376470397166 & 1.89163346231715 \tabularnewline
0.67 & 700.730669656119 & 1.9848446974667 \tabularnewline
0.68 & 701.104749001356 & 2.09147856965261 \tabularnewline
0.69 & 701.500725564303 & 2.20345700123145 \tabularnewline
0.7 & 701.919739550986 & 2.31514363584122 \tabularnewline
0.71 & 702.3621041635 & 2.41911793301102 \tabularnewline
0.72 & 702.827504889032 & 2.51317836107071 \tabularnewline
0.73 & 703.315315077241 & 2.59478537917241 \tabularnewline
0.74 & 703.824966432022 & 2.6657066338499 \tabularnewline
0.75 & 704.356294050099 & 2.72976455122621 \tabularnewline
0.76 & 704.909772936475 & 2.79325945132742 \tabularnewline
0.77 & 705.486581748809 & 2.86056784846103 \tabularnewline
0.78 & 706.088471085603 & 2.93596657080469 \tabularnewline
0.79 & 706.7174728345 & 3.01996675173133 \tabularnewline
0.8 & 707.375551110156 & 3.10912101603278 \tabularnewline
0.81 & 708.064344377199 & 3.19785332392511 \tabularnewline
0.82 & 708.785159977364 & 3.27906167303 \tabularnewline
0.83 & 709.539339127661 & 3.34761834071212 \tabularnewline
0.84 & 710.329010483029 & 3.40334698761946 \tabularnewline
0.85 & 711.158115397451 & 3.45369918954659 \tabularnewline
0.86 & 712.033465063261 & 3.51227162431017 \tabularnewline
0.87 & 712.965538457422 & 3.59596234297793 \tabularnewline
0.88 & 713.96879266055 & 3.71992931917573 \tabularnewline
0.89 & 715.061413948923 & 3.89103787044911 \tabularnewline
0.9 & 716.264568039255 & 4.10601584080852 \tabularnewline
0.91 & 717.601095299614 & 4.35305215226428 \tabularnewline
0.92 & 719.093043224142 & 4.61762674104554 \tabularnewline
0.93 & 720.756509494452 & 4.88044303265234 \tabularnewline
0.94 & 722.591662868468 & 5.10297281737111 \tabularnewline
0.95 & 724.566887271378 & 5.2008683658514 \tabularnewline
0.96 & 726.600127891158 & 5.02752373434983 \tabularnewline
0.97 & 728.547336335206 & 4.41062512203504 \tabularnewline
0.98 & 730.213666678808 & 3.28614608049729 \tabularnewline
0.99 & 731.401853797214 & 1.9119888659942 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]659.726869107311[/C][C]2.67733033699074[/C][/ROW]
[ROW][C]0.02[/C][C]660.847031279513[/C][C]2.48434323161585[/C][/ROW]
[ROW][C]0.03[/C][C]662.112614411251[/C][C]2.56681458035358[/C][/ROW]
[ROW][C]0.04[/C][C]663.386223236881[/C][C]2.82265546669639[/C][/ROW]
[ROW][C]0.05[/C][C]664.624785612471[/C][C]3.06362069862714[/C][/ROW]
[ROW][C]0.06[/C][C]665.821452823075[/C][C]3.20733860018336[/C][/ROW]
[ROW][C]0.07[/C][C]666.975855475209[/C][C]3.27955518439801[/C][/ROW]
[ROW][C]0.08[/C][C]668.091008478324[/C][C]3.35119386074312[/C][/ROW]
[ROW][C]0.09[/C][C]669.177134579249[/C][C]3.4885305503431[/C][/ROW]
[ROW][C]0.1[/C][C]670.251653995206[/C][C]3.71675886897705[/C][/ROW]
[ROW][C]0.11[/C][C]671.334706539979[/C][C]4.02401303576793[/C][/ROW]
[ROW][C]0.12[/C][C]672.443406099013[/C][C]4.37225394404613[/C][/ROW]
[ROW][C]0.13[/C][C]673.587534928197[/C][C]4.71982185624957[/C][/ROW]
[ROW][C]0.14[/C][C]674.767698264009[/C][C]5.02491474572546[/C][/ROW]
[ROW][C]0.15[/C][C]675.975709655206[/C][C]5.25400811975287[/C][/ROW]
[ROW][C]0.16[/C][C]677.196475586773[/C][C]5.38362884877249[/C][/ROW]
[ROW][C]0.17[/C][C]678.410638114053[/C][C]5.40090824747404[/C][/ROW]
[ROW][C]0.18[/C][C]679.597402592366[/C][C]5.30507084041248[/C][/ROW]
[ROW][C]0.19[/C][C]680.737145128561[/C][C]5.10814266423206[/C][/ROW]
[ROW][C]0.2[/C][C]681.813516722094[/C][C]4.82988164499291[/C][/ROW]
[ROW][C]0.21[/C][C]682.814860291246[/C][C]4.49845473929213[/C][/ROW]
[ROW][C]0.22[/C][C]683.734859844737[/C][C]4.14027464244825[/C][/ROW]
[ROW][C]0.23[/C][C]684.572451924688[/C][C]3.78535270944493[/C][/ROW]
[ROW][C]0.24[/C][C]685.331131062976[/C][C]3.45403889633523[/C][/ROW]
[ROW][C]0.25[/C][C]686.017850831134[/C][C]3.16344813352623[/C][/ROW]
[ROW][C]0.26[/C][C]686.641746410909[/C][C]2.92230539020072[/C][/ROW]
[ROW][C]0.27[/C][C]687.212884395057[/C][C]2.73223163507672[/C][/ROW]
[ROW][C]0.28[/C][C]687.741193767095[/C][C]2.58878660603358[/C][/ROW]
[ROW][C]0.29[/C][C]688.235666930673[/C][C]2.48513225035049[/C][/ROW]
[ROW][C]0.3[/C][C]688.703857851139[/C][C]2.41167828042772[/C][/ROW]
[ROW][C]0.31[/C][C]689.151656639736[/C][C]2.35789704020651[/C][/ROW]
[ROW][C]0.32[/C][C]689.583290368783[/C][C]2.31499567899676[/C][/ROW]
[ROW][C]0.33[/C][C]690.001487378775[/C][C]2.27739948841027[/C][/ROW]
[ROW][C]0.34[/C][C]690.40774269559[/C][C]2.23783193818807[/C][/ROW]
[ROW][C]0.35[/C][C]690.802630482953[/C][C]2.19430517003336[/C][/ROW]
[ROW][C]0.36[/C][C]691.186121385599[/C][C]2.14492541132465[/C][/ROW]
[ROW][C]0.37[/C][C]691.557875070224[/C][C]2.08886733543345[/C][/ROW]
[ROW][C]0.38[/C][C]691.917489408856[/C][C]2.02772724537659[/C][/ROW]
[ROW][C]0.39[/C][C]692.2646967474[/C][C]1.96344467313749[/C][/ROW]
[ROW][C]0.4[/C][C]692.599504407[/C][C]1.89782945669176[/C][/ROW]
[ROW][C]0.41[/C][C]692.922281192136[/C][C]1.83405848909698[/C][/ROW]
[ROW][C]0.42[/C][C]693.233794588718[/C][C]1.77481833235072[/C][/ROW]
[ROW][C]0.43[/C][C]693.53520490685[/C][C]1.72351869591997[/C][/ROW]
[ROW][C]0.44[/C][C]693.828023203881[/C][C]1.68083321946511[/C][/ROW]
[ROW][C]0.45[/C][C]694.114039741531[/C][C]1.649669964535[/C][/ROW]
[ROW][C]0.46[/C][C]694.395229330493[/C][C]1.63107763593365[/C][/ROW]
[ROW][C]0.47[/C][C]694.673639576335[/C][C]1.6253324271426[/C][/ROW]
[ROW][C]0.48[/C][C]694.951268143133[/C][C]1.63166561773869[/C][/ROW]
[ROW][C]0.49[/C][C]695.22993598214[/C][C]1.64858215565412[/C][/ROW]
[ROW][C]0.5[/C][C]695.511165090183[/C][C]1.67456440133323[/C][/ROW]
[ROW][C]0.51[/C][C]695.796071480432[/C][C]1.70552009175534[/C][/ROW]
[ROW][C]0.52[/C][C]696.085286006485[/C][C]1.73859085921255[/C][/ROW]
[ROW][C]0.53[/C][C]696.378916544083[/C][C]1.76997256319746[/C][/ROW]
[ROW][C]0.54[/C][C]696.676563825231[/C][C]1.79505369288458[/C][/ROW]
[ROW][C]0.55[/C][C]696.977399228729[/C][C]1.81296940495872[/C][/ROW]
[ROW][C]0.56[/C][C]697.280305921049[/C][C]1.819209835046[/C][/ROW]
[ROW][C]0.57[/C][C]697.584075528332[/C][C]1.81455903312681[/C][/ROW]
[ROW][C]0.58[/C][C]697.887642369209[/C][C]1.8003069632881[/C][/ROW]
[ROW][C]0.59[/C][C]698.190328086739[/C][C]1.7790045388859[/C][/ROW]
[ROW][C]0.6[/C][C]698.492063335529[/C][C]1.75560799491974[/C][/ROW]
[ROW][C]0.61[/C][C]698.793551757548[/C][C]1.73635845018864[/C][/ROW]
[ROW][C]0.62[/C][C]699.096345857135[/C][C]1.72769917915395[/C][/ROW]
[ROW][C]0.63[/C][C]699.402814613009[/C][C]1.73596068949891[/C][/ROW]
[ROW][C]0.64[/C][C]699.715997707645[/C][C]1.76473704174212[/C][/ROW]
[ROW][C]0.65[/C][C]700.039359084688[/C][C]1.81672994180577[/C][/ROW]
[ROW][C]0.66[/C][C]700.376470397166[/C][C]1.89163346231715[/C][/ROW]
[ROW][C]0.67[/C][C]700.730669656119[/C][C]1.9848446974667[/C][/ROW]
[ROW][C]0.68[/C][C]701.104749001356[/C][C]2.09147856965261[/C][/ROW]
[ROW][C]0.69[/C][C]701.500725564303[/C][C]2.20345700123145[/C][/ROW]
[ROW][C]0.7[/C][C]701.919739550986[/C][C]2.31514363584122[/C][/ROW]
[ROW][C]0.71[/C][C]702.3621041635[/C][C]2.41911793301102[/C][/ROW]
[ROW][C]0.72[/C][C]702.827504889032[/C][C]2.51317836107071[/C][/ROW]
[ROW][C]0.73[/C][C]703.315315077241[/C][C]2.59478537917241[/C][/ROW]
[ROW][C]0.74[/C][C]703.824966432022[/C][C]2.6657066338499[/C][/ROW]
[ROW][C]0.75[/C][C]704.356294050099[/C][C]2.72976455122621[/C][/ROW]
[ROW][C]0.76[/C][C]704.909772936475[/C][C]2.79325945132742[/C][/ROW]
[ROW][C]0.77[/C][C]705.486581748809[/C][C]2.86056784846103[/C][/ROW]
[ROW][C]0.78[/C][C]706.088471085603[/C][C]2.93596657080469[/C][/ROW]
[ROW][C]0.79[/C][C]706.7174728345[/C][C]3.01996675173133[/C][/ROW]
[ROW][C]0.8[/C][C]707.375551110156[/C][C]3.10912101603278[/C][/ROW]
[ROW][C]0.81[/C][C]708.064344377199[/C][C]3.19785332392511[/C][/ROW]
[ROW][C]0.82[/C][C]708.785159977364[/C][C]3.27906167303[/C][/ROW]
[ROW][C]0.83[/C][C]709.539339127661[/C][C]3.34761834071212[/C][/ROW]
[ROW][C]0.84[/C][C]710.329010483029[/C][C]3.40334698761946[/C][/ROW]
[ROW][C]0.85[/C][C]711.158115397451[/C][C]3.45369918954659[/C][/ROW]
[ROW][C]0.86[/C][C]712.033465063261[/C][C]3.51227162431017[/C][/ROW]
[ROW][C]0.87[/C][C]712.965538457422[/C][C]3.59596234297793[/C][/ROW]
[ROW][C]0.88[/C][C]713.96879266055[/C][C]3.71992931917573[/C][/ROW]
[ROW][C]0.89[/C][C]715.061413948923[/C][C]3.89103787044911[/C][/ROW]
[ROW][C]0.9[/C][C]716.264568039255[/C][C]4.10601584080852[/C][/ROW]
[ROW][C]0.91[/C][C]717.601095299614[/C][C]4.35305215226428[/C][/ROW]
[ROW][C]0.92[/C][C]719.093043224142[/C][C]4.61762674104554[/C][/ROW]
[ROW][C]0.93[/C][C]720.756509494452[/C][C]4.88044303265234[/C][/ROW]
[ROW][C]0.94[/C][C]722.591662868468[/C][C]5.10297281737111[/C][/ROW]
[ROW][C]0.95[/C][C]724.566887271378[/C][C]5.2008683658514[/C][/ROW]
[ROW][C]0.96[/C][C]726.600127891158[/C][C]5.02752373434983[/C][/ROW]
[ROW][C]0.97[/C][C]728.547336335206[/C][C]4.41062512203504[/C][/ROW]
[ROW][C]0.98[/C][C]730.213666678808[/C][C]3.28614608049729[/C][/ROW]
[ROW][C]0.99[/C][C]731.401853797214[/C][C]1.9119888659942[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01659.7268691073112.67733033699074
0.02660.8470312795132.48434323161585
0.03662.1126144112512.56681458035358
0.04663.3862232368812.82265546669639
0.05664.6247856124713.06362069862714
0.06665.8214528230753.20733860018336
0.07666.9758554752093.27955518439801
0.08668.0910084783243.35119386074312
0.09669.1771345792493.4885305503431
0.1670.2516539952063.71675886897705
0.11671.3347065399794.02401303576793
0.12672.4434060990134.37225394404613
0.13673.5875349281974.71982185624957
0.14674.7676982640095.02491474572546
0.15675.9757096552065.25400811975287
0.16677.1964755867735.38362884877249
0.17678.4106381140535.40090824747404
0.18679.5974025923665.30507084041248
0.19680.7371451285615.10814266423206
0.2681.8135167220944.82988164499291
0.21682.8148602912464.49845473929213
0.22683.7348598447374.14027464244825
0.23684.5724519246883.78535270944493
0.24685.3311310629763.45403889633523
0.25686.0178508311343.16344813352623
0.26686.6417464109092.92230539020072
0.27687.2128843950572.73223163507672
0.28687.7411937670952.58878660603358
0.29688.2356669306732.48513225035049
0.3688.7038578511392.41167828042772
0.31689.1516566397362.35789704020651
0.32689.5832903687832.31499567899676
0.33690.0014873787752.27739948841027
0.34690.407742695592.23783193818807
0.35690.8026304829532.19430517003336
0.36691.1861213855992.14492541132465
0.37691.5578750702242.08886733543345
0.38691.9174894088562.02772724537659
0.39692.26469674741.96344467313749
0.4692.5995044071.89782945669176
0.41692.9222811921361.83405848909698
0.42693.2337945887181.77481833235072
0.43693.535204906851.72351869591997
0.44693.8280232038811.68083321946511
0.45694.1140397415311.649669964535
0.46694.3952293304931.63107763593365
0.47694.6736395763351.6253324271426
0.48694.9512681431331.63166561773869
0.49695.229935982141.64858215565412
0.5695.5111650901831.67456440133323
0.51695.7960714804321.70552009175534
0.52696.0852860064851.73859085921255
0.53696.3789165440831.76997256319746
0.54696.6765638252311.79505369288458
0.55696.9773992287291.81296940495872
0.56697.2803059210491.819209835046
0.57697.5840755283321.81455903312681
0.58697.8876423692091.8003069632881
0.59698.1903280867391.7790045388859
0.6698.4920633355291.75560799491974
0.61698.7935517575481.73635845018864
0.62699.0963458571351.72769917915395
0.63699.4028146130091.73596068949891
0.64699.7159977076451.76473704174212
0.65700.0393590846881.81672994180577
0.66700.3764703971661.89163346231715
0.67700.7306696561191.9848446974667
0.68701.1047490013562.09147856965261
0.69701.5007255643032.20345700123145
0.7701.9197395509862.31514363584122
0.71702.36210416352.41911793301102
0.72702.8275048890322.51317836107071
0.73703.3153150772412.59478537917241
0.74703.8249664320222.6657066338499
0.75704.3562940500992.72976455122621
0.76704.9097729364752.79325945132742
0.77705.4865817488092.86056784846103
0.78706.0884710856032.93596657080469
0.79706.71747283453.01996675173133
0.8707.3755511101563.10912101603278
0.81708.0643443771993.19785332392511
0.82708.7851599773643.27906167303
0.83709.5393391276613.34761834071212
0.84710.3290104830293.40334698761946
0.85711.1581153974513.45369918954659
0.86712.0334650632613.51227162431017
0.87712.9655384574223.59596234297793
0.88713.968792660553.71992931917573
0.89715.0614139489233.89103787044911
0.9716.2645680392554.10601584080852
0.91717.6010952996144.35305215226428
0.92719.0930432241424.61762674104554
0.93720.7565094944524.88044303265234
0.94722.5916628684685.10297281737111
0.95724.5668872713785.2008683658514
0.96726.6001278911585.02752373434983
0.97728.5473363352064.41062512203504
0.98730.2136666788083.28614608049729
0.99731.4018537972141.9119888659942


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')