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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, 13 Oct 2010 15:37:44 +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/2010/Oct/13/t1286984382bluim55vqr31v2h.htm/, Retrieved Tue, 07 May 2024 02:41:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83137, Retrieved Tue, 07 May 2024 02:41:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact101

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] [Opgave 4 oefening 2 ] [2010-10-13 15:37:44] [907ff08aa543b935e12b9ef122e80b4e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
771,28
766,78
757,59
747,73
746,59
744,5
744,29
743,79
738,89
736,74
732,77
731,58
731,48
730,08
724,19
716,81
714,84
713,18
713,16
713,15
713,6
707,08
704,11
704,36
704,36
701,93
696,44
686,58
684,48
683,74
683,7
683,52
678,77
674,71
670,28
668,85
668,85
669,35
672,28
671,6
671,96
671,18
671,18
681,14
682,23
679,98
679,69
679,69
679,7
681,21
672,32
669,98
667,91
666,04
666,04
666,27
664,45
660,76
660,4
660,69
660,69
662,23
661,41
659,02
655,43
652,59
652,59
648,2
645,84
644,67
642,71
640,14
640,14
639,64
630,28
614,57
614,7
615,08
615,08
614,43
604,55
598,98
594,05
593,05
593,05
593,34
584,72
580,7
577,08
569,92
569,92
568,86
559,38
548,22
545,61
545,33

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83137&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83137&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01546.4173878204312.83973533652395
0.02549.4291113271136.77488071251866
0.03554.1308073939999.44449593480797
0.04559.5424265911910.0441038231603
0.05564.7663765943599.49806157925306
0.06569.4309118525369.01562908922526
0.07573.5947380260859.06128591294622
0.08577.4544718606349.39898516725126
0.09581.149553598879.68711706111973
0.1584.7263059610779.80297347683205
0.11588.1868395129259.8343416601103
0.12591.5409111246069.94497173811935
0.13594.8247668901510.2434453072821
0.14598.09086686694510.7263875331039
0.15601.38783748182711.3114244408060
0.16604.74655318334511.9093993189964
0.17608.17750737133712.4671944879299
0.18611.67575092464312.9706676698419
0.19615.2267602647113.4126685153981
0.2618.80898297501713.7642957591000
0.21622.39313252501213.9718739357419
0.22625.941205881813.9755171639047
0.23629.40822358869313.7385331960965
0.24632.7475552228713.2647171652684
0.25635.91822047705812.6049614956503
0.26638.89130767193811.8347390943376
0.27641.65310808833211.0353136105905
0.28644.20416149696310.267980875711
0.29646.555127482619.56323375182748
0.3648.7214151815538.92289019011746
0.31650.7185377628028.33026699996204
0.32652.559435108417.76233690614453
0.33654.2540089926577.20697307083939
0.34655.8102900297966.6595899371279
0.35657.2362547681256.13155223753545
0.36658.5413554347665.63907694046237
0.37659.7371742301755.19722039353051
0.38660.8370689834134.81812334807414
0.39661.8550620819954.50572896701456
0.4662.8044363475164.25081478035698
0.41663.6965184320924.03851194247802
0.42664.5399960189673.85598307774541
0.43665.3409073556333.68800427758807
0.44666.1032392867083.5256321820627
0.45666.8299281869553.36910157073929
0.46667.5239978357853.22154738837698
0.47668.1895795267883.09348471894192
0.48668.8326158130372.9962951937174
0.49669.4611225946122.9426415402796
0.5670.0849576144962.94301723364161
0.51670.7151130641113.00403428580599
0.52671.3626201688923.12085010883145
0.53672.0372271131463.28343240215605
0.54672.746081696643.47599642631769
0.55673.4926983957213.67186596068755
0.56674.2764920288163.85021320397974
0.57675.0930985563333.99108769181307
0.58675.9355759763824.08264599254083
0.59676.7964048247544.12569951432398
0.6677.6700255226624.13510770258253
0.61678.5555002626724.13937551394142
0.62679.4588021880624.18088943683288
0.63680.3942289011624.30495743679328
0.64681.384510884734.5579720354529
0.65682.459333705924.96979174009722
0.66683.652214347385.55073692570826
0.67684.9959636092546.27937087986084
0.68686.5173056943457.10955372472117
0.69688.2315507896637.97122970243094
0.7690.1384230598628.77982865347976
0.71692.220120423029.45184783943396
0.72694.4423565715239.91603389851183
0.73696.758545634110.1308531674435
0.74699.11658591049310.0892855685188
0.75701.4670906954689.82224875887415
0.76703.7715688384189.39611789561466
0.77706.0090184596578.89820594766038
0.78708.179587586358.42825555027975
0.79710.3042842030268.07580498891706
0.8712.4202082491177.90795414386582
0.81714.5715853339257.94120581263795
0.82716.7981180823658.13358046816587
0.83719.1236044709838.38771333268595
0.84721.5486619710168.58507181281035
0.85724.050747191918.62551641180153
0.86726.5919608484828.46540923926322
0.87729.1311778199378.1265038579282
0.88731.634146432357.67691513981709
0.89734.0761279047557.1820722740099
0.9736.4375583596256.65949855811093
0.91738.7018378899416.08386529224884
0.92740.8700180173125.453335780895
0.93743.003122128484.89143540575136
0.94745.2840603570324.72417103361436
0.95748.0565968832525.37416649645598
0.96751.7598371335656.87149619351139
0.97756.6768770004378.42744483862652
0.98762.5204573748498.57488352757892
0.99768.0613311026476.48487019351862

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 546.417387820431 & 2.83973533652395 \tabularnewline
0.02 & 549.429111327113 & 6.77488071251866 \tabularnewline
0.03 & 554.130807393999 & 9.44449593480797 \tabularnewline
0.04 & 559.54242659119 & 10.0441038231603 \tabularnewline
0.05 & 564.766376594359 & 9.49806157925306 \tabularnewline
0.06 & 569.430911852536 & 9.01562908922526 \tabularnewline
0.07 & 573.594738026085 & 9.06128591294622 \tabularnewline
0.08 & 577.454471860634 & 9.39898516725126 \tabularnewline
0.09 & 581.14955359887 & 9.68711706111973 \tabularnewline
0.1 & 584.726305961077 & 9.80297347683205 \tabularnewline
0.11 & 588.186839512925 & 9.8343416601103 \tabularnewline
0.12 & 591.540911124606 & 9.94497173811935 \tabularnewline
0.13 & 594.82476689015 & 10.2434453072821 \tabularnewline
0.14 & 598.090866866945 & 10.7263875331039 \tabularnewline
0.15 & 601.387837481827 & 11.3114244408060 \tabularnewline
0.16 & 604.746553183345 & 11.9093993189964 \tabularnewline
0.17 & 608.177507371337 & 12.4671944879299 \tabularnewline
0.18 & 611.675750924643 & 12.9706676698419 \tabularnewline
0.19 & 615.22676026471 & 13.4126685153981 \tabularnewline
0.2 & 618.808982975017 & 13.7642957591000 \tabularnewline
0.21 & 622.393132525012 & 13.9718739357419 \tabularnewline
0.22 & 625.9412058818 & 13.9755171639047 \tabularnewline
0.23 & 629.408223588693 & 13.7385331960965 \tabularnewline
0.24 & 632.74755522287 & 13.2647171652684 \tabularnewline
0.25 & 635.918220477058 & 12.6049614956503 \tabularnewline
0.26 & 638.891307671938 & 11.8347390943376 \tabularnewline
0.27 & 641.653108088332 & 11.0353136105905 \tabularnewline
0.28 & 644.204161496963 & 10.267980875711 \tabularnewline
0.29 & 646.55512748261 & 9.56323375182748 \tabularnewline
0.3 & 648.721415181553 & 8.92289019011746 \tabularnewline
0.31 & 650.718537762802 & 8.33026699996204 \tabularnewline
0.32 & 652.55943510841 & 7.76233690614453 \tabularnewline
0.33 & 654.254008992657 & 7.20697307083939 \tabularnewline
0.34 & 655.810290029796 & 6.6595899371279 \tabularnewline
0.35 & 657.236254768125 & 6.13155223753545 \tabularnewline
0.36 & 658.541355434766 & 5.63907694046237 \tabularnewline
0.37 & 659.737174230175 & 5.19722039353051 \tabularnewline
0.38 & 660.837068983413 & 4.81812334807414 \tabularnewline
0.39 & 661.855062081995 & 4.50572896701456 \tabularnewline
0.4 & 662.804436347516 & 4.25081478035698 \tabularnewline
0.41 & 663.696518432092 & 4.03851194247802 \tabularnewline
0.42 & 664.539996018967 & 3.85598307774541 \tabularnewline
0.43 & 665.340907355633 & 3.68800427758807 \tabularnewline
0.44 & 666.103239286708 & 3.5256321820627 \tabularnewline
0.45 & 666.829928186955 & 3.36910157073929 \tabularnewline
0.46 & 667.523997835785 & 3.22154738837698 \tabularnewline
0.47 & 668.189579526788 & 3.09348471894192 \tabularnewline
0.48 & 668.832615813037 & 2.9962951937174 \tabularnewline
0.49 & 669.461122594612 & 2.9426415402796 \tabularnewline
0.5 & 670.084957614496 & 2.94301723364161 \tabularnewline
0.51 & 670.715113064111 & 3.00403428580599 \tabularnewline
0.52 & 671.362620168892 & 3.12085010883145 \tabularnewline
0.53 & 672.037227113146 & 3.28343240215605 \tabularnewline
0.54 & 672.74608169664 & 3.47599642631769 \tabularnewline
0.55 & 673.492698395721 & 3.67186596068755 \tabularnewline
0.56 & 674.276492028816 & 3.85021320397974 \tabularnewline
0.57 & 675.093098556333 & 3.99108769181307 \tabularnewline
0.58 & 675.935575976382 & 4.08264599254083 \tabularnewline
0.59 & 676.796404824754 & 4.12569951432398 \tabularnewline
0.6 & 677.670025522662 & 4.13510770258253 \tabularnewline
0.61 & 678.555500262672 & 4.13937551394142 \tabularnewline
0.62 & 679.458802188062 & 4.18088943683288 \tabularnewline
0.63 & 680.394228901162 & 4.30495743679328 \tabularnewline
0.64 & 681.38451088473 & 4.5579720354529 \tabularnewline
0.65 & 682.45933370592 & 4.96979174009722 \tabularnewline
0.66 & 683.65221434738 & 5.55073692570826 \tabularnewline
0.67 & 684.995963609254 & 6.27937087986084 \tabularnewline
0.68 & 686.517305694345 & 7.10955372472117 \tabularnewline
0.69 & 688.231550789663 & 7.97122970243094 \tabularnewline
0.7 & 690.138423059862 & 8.77982865347976 \tabularnewline
0.71 & 692.22012042302 & 9.45184783943396 \tabularnewline
0.72 & 694.442356571523 & 9.91603389851183 \tabularnewline
0.73 & 696.7585456341 & 10.1308531674435 \tabularnewline
0.74 & 699.116585910493 & 10.0892855685188 \tabularnewline
0.75 & 701.467090695468 & 9.82224875887415 \tabularnewline
0.76 & 703.771568838418 & 9.39611789561466 \tabularnewline
0.77 & 706.009018459657 & 8.89820594766038 \tabularnewline
0.78 & 708.17958758635 & 8.42825555027975 \tabularnewline
0.79 & 710.304284203026 & 8.07580498891706 \tabularnewline
0.8 & 712.420208249117 & 7.90795414386582 \tabularnewline
0.81 & 714.571585333925 & 7.94120581263795 \tabularnewline
0.82 & 716.798118082365 & 8.13358046816587 \tabularnewline
0.83 & 719.123604470983 & 8.38771333268595 \tabularnewline
0.84 & 721.548661971016 & 8.58507181281035 \tabularnewline
0.85 & 724.05074719191 & 8.62551641180153 \tabularnewline
0.86 & 726.591960848482 & 8.46540923926322 \tabularnewline
0.87 & 729.131177819937 & 8.1265038579282 \tabularnewline
0.88 & 731.63414643235 & 7.67691513981709 \tabularnewline
0.89 & 734.076127904755 & 7.1820722740099 \tabularnewline
0.9 & 736.437558359625 & 6.65949855811093 \tabularnewline
0.91 & 738.701837889941 & 6.08386529224884 \tabularnewline
0.92 & 740.870018017312 & 5.453335780895 \tabularnewline
0.93 & 743.00312212848 & 4.89143540575136 \tabularnewline
0.94 & 745.284060357032 & 4.72417103361436 \tabularnewline
0.95 & 748.056596883252 & 5.37416649645598 \tabularnewline
0.96 & 751.759837133565 & 6.87149619351139 \tabularnewline
0.97 & 756.676877000437 & 8.42744483862652 \tabularnewline
0.98 & 762.520457374849 & 8.57488352757892 \tabularnewline
0.99 & 768.061331102647 & 6.48487019351862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83137&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]546.417387820431[/C][C]2.83973533652395[/C][/ROW]
[ROW][C]0.02[/C][C]549.429111327113[/C][C]6.77488071251866[/C][/ROW]
[ROW][C]0.03[/C][C]554.130807393999[/C][C]9.44449593480797[/C][/ROW]
[ROW][C]0.04[/C][C]559.54242659119[/C][C]10.0441038231603[/C][/ROW]
[ROW][C]0.05[/C][C]564.766376594359[/C][C]9.49806157925306[/C][/ROW]
[ROW][C]0.06[/C][C]569.430911852536[/C][C]9.01562908922526[/C][/ROW]
[ROW][C]0.07[/C][C]573.594738026085[/C][C]9.06128591294622[/C][/ROW]
[ROW][C]0.08[/C][C]577.454471860634[/C][C]9.39898516725126[/C][/ROW]
[ROW][C]0.09[/C][C]581.14955359887[/C][C]9.68711706111973[/C][/ROW]
[ROW][C]0.1[/C][C]584.726305961077[/C][C]9.80297347683205[/C][/ROW]
[ROW][C]0.11[/C][C]588.186839512925[/C][C]9.8343416601103[/C][/ROW]
[ROW][C]0.12[/C][C]591.540911124606[/C][C]9.94497173811935[/C][/ROW]
[ROW][C]0.13[/C][C]594.82476689015[/C][C]10.2434453072821[/C][/ROW]
[ROW][C]0.14[/C][C]598.090866866945[/C][C]10.7263875331039[/C][/ROW]
[ROW][C]0.15[/C][C]601.387837481827[/C][C]11.3114244408060[/C][/ROW]
[ROW][C]0.16[/C][C]604.746553183345[/C][C]11.9093993189964[/C][/ROW]
[ROW][C]0.17[/C][C]608.177507371337[/C][C]12.4671944879299[/C][/ROW]
[ROW][C]0.18[/C][C]611.675750924643[/C][C]12.9706676698419[/C][/ROW]
[ROW][C]0.19[/C][C]615.22676026471[/C][C]13.4126685153981[/C][/ROW]
[ROW][C]0.2[/C][C]618.808982975017[/C][C]13.7642957591000[/C][/ROW]
[ROW][C]0.21[/C][C]622.393132525012[/C][C]13.9718739357419[/C][/ROW]
[ROW][C]0.22[/C][C]625.9412058818[/C][C]13.9755171639047[/C][/ROW]
[ROW][C]0.23[/C][C]629.408223588693[/C][C]13.7385331960965[/C][/ROW]
[ROW][C]0.24[/C][C]632.74755522287[/C][C]13.2647171652684[/C][/ROW]
[ROW][C]0.25[/C][C]635.918220477058[/C][C]12.6049614956503[/C][/ROW]
[ROW][C]0.26[/C][C]638.891307671938[/C][C]11.8347390943376[/C][/ROW]
[ROW][C]0.27[/C][C]641.653108088332[/C][C]11.0353136105905[/C][/ROW]
[ROW][C]0.28[/C][C]644.204161496963[/C][C]10.267980875711[/C][/ROW]
[ROW][C]0.29[/C][C]646.55512748261[/C][C]9.56323375182748[/C][/ROW]
[ROW][C]0.3[/C][C]648.721415181553[/C][C]8.92289019011746[/C][/ROW]
[ROW][C]0.31[/C][C]650.718537762802[/C][C]8.33026699996204[/C][/ROW]
[ROW][C]0.32[/C][C]652.55943510841[/C][C]7.76233690614453[/C][/ROW]
[ROW][C]0.33[/C][C]654.254008992657[/C][C]7.20697307083939[/C][/ROW]
[ROW][C]0.34[/C][C]655.810290029796[/C][C]6.6595899371279[/C][/ROW]
[ROW][C]0.35[/C][C]657.236254768125[/C][C]6.13155223753545[/C][/ROW]
[ROW][C]0.36[/C][C]658.541355434766[/C][C]5.63907694046237[/C][/ROW]
[ROW][C]0.37[/C][C]659.737174230175[/C][C]5.19722039353051[/C][/ROW]
[ROW][C]0.38[/C][C]660.837068983413[/C][C]4.81812334807414[/C][/ROW]
[ROW][C]0.39[/C][C]661.855062081995[/C][C]4.50572896701456[/C][/ROW]
[ROW][C]0.4[/C][C]662.804436347516[/C][C]4.25081478035698[/C][/ROW]
[ROW][C]0.41[/C][C]663.696518432092[/C][C]4.03851194247802[/C][/ROW]
[ROW][C]0.42[/C][C]664.539996018967[/C][C]3.85598307774541[/C][/ROW]
[ROW][C]0.43[/C][C]665.340907355633[/C][C]3.68800427758807[/C][/ROW]
[ROW][C]0.44[/C][C]666.103239286708[/C][C]3.5256321820627[/C][/ROW]
[ROW][C]0.45[/C][C]666.829928186955[/C][C]3.36910157073929[/C][/ROW]
[ROW][C]0.46[/C][C]667.523997835785[/C][C]3.22154738837698[/C][/ROW]
[ROW][C]0.47[/C][C]668.189579526788[/C][C]3.09348471894192[/C][/ROW]
[ROW][C]0.48[/C][C]668.832615813037[/C][C]2.9962951937174[/C][/ROW]
[ROW][C]0.49[/C][C]669.461122594612[/C][C]2.9426415402796[/C][/ROW]
[ROW][C]0.5[/C][C]670.084957614496[/C][C]2.94301723364161[/C][/ROW]
[ROW][C]0.51[/C][C]670.715113064111[/C][C]3.00403428580599[/C][/ROW]
[ROW][C]0.52[/C][C]671.362620168892[/C][C]3.12085010883145[/C][/ROW]
[ROW][C]0.53[/C][C]672.037227113146[/C][C]3.28343240215605[/C][/ROW]
[ROW][C]0.54[/C][C]672.74608169664[/C][C]3.47599642631769[/C][/ROW]
[ROW][C]0.55[/C][C]673.492698395721[/C][C]3.67186596068755[/C][/ROW]
[ROW][C]0.56[/C][C]674.276492028816[/C][C]3.85021320397974[/C][/ROW]
[ROW][C]0.57[/C][C]675.093098556333[/C][C]3.99108769181307[/C][/ROW]
[ROW][C]0.58[/C][C]675.935575976382[/C][C]4.08264599254083[/C][/ROW]
[ROW][C]0.59[/C][C]676.796404824754[/C][C]4.12569951432398[/C][/ROW]
[ROW][C]0.6[/C][C]677.670025522662[/C][C]4.13510770258253[/C][/ROW]
[ROW][C]0.61[/C][C]678.555500262672[/C][C]4.13937551394142[/C][/ROW]
[ROW][C]0.62[/C][C]679.458802188062[/C][C]4.18088943683288[/C][/ROW]
[ROW][C]0.63[/C][C]680.394228901162[/C][C]4.30495743679328[/C][/ROW]
[ROW][C]0.64[/C][C]681.38451088473[/C][C]4.5579720354529[/C][/ROW]
[ROW][C]0.65[/C][C]682.45933370592[/C][C]4.96979174009722[/C][/ROW]
[ROW][C]0.66[/C][C]683.65221434738[/C][C]5.55073692570826[/C][/ROW]
[ROW][C]0.67[/C][C]684.995963609254[/C][C]6.27937087986084[/C][/ROW]
[ROW][C]0.68[/C][C]686.517305694345[/C][C]7.10955372472117[/C][/ROW]
[ROW][C]0.69[/C][C]688.231550789663[/C][C]7.97122970243094[/C][/ROW]
[ROW][C]0.7[/C][C]690.138423059862[/C][C]8.77982865347976[/C][/ROW]
[ROW][C]0.71[/C][C]692.22012042302[/C][C]9.45184783943396[/C][/ROW]
[ROW][C]0.72[/C][C]694.442356571523[/C][C]9.91603389851183[/C][/ROW]
[ROW][C]0.73[/C][C]696.7585456341[/C][C]10.1308531674435[/C][/ROW]
[ROW][C]0.74[/C][C]699.116585910493[/C][C]10.0892855685188[/C][/ROW]
[ROW][C]0.75[/C][C]701.467090695468[/C][C]9.82224875887415[/C][/ROW]
[ROW][C]0.76[/C][C]703.771568838418[/C][C]9.39611789561466[/C][/ROW]
[ROW][C]0.77[/C][C]706.009018459657[/C][C]8.89820594766038[/C][/ROW]
[ROW][C]0.78[/C][C]708.17958758635[/C][C]8.42825555027975[/C][/ROW]
[ROW][C]0.79[/C][C]710.304284203026[/C][C]8.07580498891706[/C][/ROW]
[ROW][C]0.8[/C][C]712.420208249117[/C][C]7.90795414386582[/C][/ROW]
[ROW][C]0.81[/C][C]714.571585333925[/C][C]7.94120581263795[/C][/ROW]
[ROW][C]0.82[/C][C]716.798118082365[/C][C]8.13358046816587[/C][/ROW]
[ROW][C]0.83[/C][C]719.123604470983[/C][C]8.38771333268595[/C][/ROW]
[ROW][C]0.84[/C][C]721.548661971016[/C][C]8.58507181281035[/C][/ROW]
[ROW][C]0.85[/C][C]724.05074719191[/C][C]8.62551641180153[/C][/ROW]
[ROW][C]0.86[/C][C]726.591960848482[/C][C]8.46540923926322[/C][/ROW]
[ROW][C]0.87[/C][C]729.131177819937[/C][C]8.1265038579282[/C][/ROW]
[ROW][C]0.88[/C][C]731.63414643235[/C][C]7.67691513981709[/C][/ROW]
[ROW][C]0.89[/C][C]734.076127904755[/C][C]7.1820722740099[/C][/ROW]
[ROW][C]0.9[/C][C]736.437558359625[/C][C]6.65949855811093[/C][/ROW]
[ROW][C]0.91[/C][C]738.701837889941[/C][C]6.08386529224884[/C][/ROW]
[ROW][C]0.92[/C][C]740.870018017312[/C][C]5.453335780895[/C][/ROW]
[ROW][C]0.93[/C][C]743.00312212848[/C][C]4.89143540575136[/C][/ROW]
[ROW][C]0.94[/C][C]745.284060357032[/C][C]4.72417103361436[/C][/ROW]
[ROW][C]0.95[/C][C]748.056596883252[/C][C]5.37416649645598[/C][/ROW]
[ROW][C]0.96[/C][C]751.759837133565[/C][C]6.87149619351139[/C][/ROW]
[ROW][C]0.97[/C][C]756.676877000437[/C][C]8.42744483862652[/C][/ROW]
[ROW][C]0.98[/C][C]762.520457374849[/C][C]8.57488352757892[/C][/ROW]
[ROW][C]0.99[/C][C]768.061331102647[/C][C]6.48487019351862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83137&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
0.01546.4173878204312.83973533652395
0.02549.4291113271136.77488071251866
0.03554.1308073939999.44449593480797
0.04559.5424265911910.0441038231603
0.05564.7663765943599.49806157925306
0.06569.4309118525369.01562908922526
0.07573.5947380260859.06128591294622
0.08577.4544718606349.39898516725126
0.09581.149553598879.68711706111973
0.1584.7263059610779.80297347683205
0.11588.1868395129259.8343416601103
0.12591.5409111246069.94497173811935
0.13594.8247668901510.2434453072821
0.14598.09086686694510.7263875331039
0.15601.38783748182711.3114244408060
0.16604.74655318334511.9093993189964
0.17608.17750737133712.4671944879299
0.18611.67575092464312.9706676698419
0.19615.2267602647113.4126685153981
0.2618.80898297501713.7642957591000
0.21622.39313252501213.9718739357419
0.22625.941205881813.9755171639047
0.23629.40822358869313.7385331960965
0.24632.7475552228713.2647171652684
0.25635.91822047705812.6049614956503
0.26638.89130767193811.8347390943376
0.27641.65310808833211.0353136105905
0.28644.20416149696310.267980875711
0.29646.555127482619.56323375182748
0.3648.7214151815538.92289019011746
0.31650.7185377628028.33026699996204
0.32652.559435108417.76233690614453
0.33654.2540089926577.20697307083939
0.34655.8102900297966.6595899371279
0.35657.2362547681256.13155223753545
0.36658.5413554347665.63907694046237
0.37659.7371742301755.19722039353051
0.38660.8370689834134.81812334807414
0.39661.8550620819954.50572896701456
0.4662.8044363475164.25081478035698
0.41663.6965184320924.03851194247802
0.42664.5399960189673.85598307774541
0.43665.3409073556333.68800427758807
0.44666.1032392867083.5256321820627
0.45666.8299281869553.36910157073929
0.46667.5239978357853.22154738837698
0.47668.1895795267883.09348471894192
0.48668.8326158130372.9962951937174
0.49669.4611225946122.9426415402796
0.5670.0849576144962.94301723364161
0.51670.7151130641113.00403428580599
0.52671.3626201688923.12085010883145
0.53672.0372271131463.28343240215605
0.54672.746081696643.47599642631769
0.55673.4926983957213.67186596068755
0.56674.2764920288163.85021320397974
0.57675.0930985563333.99108769181307
0.58675.9355759763824.08264599254083
0.59676.7964048247544.12569951432398
0.6677.6700255226624.13510770258253
0.61678.5555002626724.13937551394142
0.62679.4588021880624.18088943683288
0.63680.3942289011624.30495743679328
0.64681.384510884734.5579720354529
0.65682.459333705924.96979174009722
0.66683.652214347385.55073692570826
0.67684.9959636092546.27937087986084
0.68686.5173056943457.10955372472117
0.69688.2315507896637.97122970243094
0.7690.1384230598628.77982865347976
0.71692.220120423029.45184783943396
0.72694.4423565715239.91603389851183
0.73696.758545634110.1308531674435
0.74699.11658591049310.0892855685188
0.75701.4670906954689.82224875887415
0.76703.7715688384189.39611789561466
0.77706.0090184596578.89820594766038
0.78708.179587586358.42825555027975
0.79710.3042842030268.07580498891706
0.8712.4202082491177.90795414386582
0.81714.5715853339257.94120581263795
0.82716.7981180823658.13358046816587
0.83719.1236044709838.38771333268595
0.84721.5486619710168.58507181281035
0.85724.050747191918.62551641180153
0.86726.5919608484828.46540923926322
0.87729.1311778199378.1265038579282
0.88731.634146432357.67691513981709
0.89734.0761279047557.1820722740099
0.9736.4375583596256.65949855811093
0.91738.7018378899416.08386529224884
0.92740.8700180173125.453335780895
0.93743.003122128484.89143540575136
0.94745.2840603570324.72417103361436
0.95748.0565968832525.37416649645598
0.96751.7598371335656.87149619351139
0.97756.6768770004378.42744483862652
0.98762.5204573748498.57488352757892
0.99768.0613311026476.48487019351862


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')