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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 computationFri, 12 Aug 2016 00:42:15 +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/12/t1470959112lnx016dxuqkwfov.htm/, Retrieved Sun, 05 May 2024 10:07:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296390, Retrieved Sun, 05 May 2024 10:07:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [Harrel-Davis quan...] [2016-08-10 15:58:36] [4c392b130fccc63297597dd6ffb6df17]
- R P   [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2016-08-11 23:39:17] [4c392b130fccc63297597dd6ffb6df17]
-   P       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2016-08-11 23:42:15] [d7adcc7732e5b057da1b42af54844e1a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
77
85
85
78
89
87
80
83
88
86
81
94
79
85
83
81
90
85
83
89
94
80
82
91
80
86
87
87
91
88
77
79
99
78
88
91
76
81
88
88
91
91
79
79
97
77
86
93
74
74
88
86
94
88
81
75
100
76
86
91
79
71
87
86
98
83
76
74
99
72
83
89
79
65
91
85
94
78
79
76
105
76
84
93
79
65
91
82
94
73
81
77
105
74
82
93
83
66
86
83
93
72
78
79
105
72
82
92

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296390&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296390&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.45785133106651.17581151287201
0.0266.73443856725332.52791281570421
0.0368.49363909246732.84893118596692
0.0470.14605470436472.30983773236987
0.0571.38938116501241.6510163228063
0.0672.25229372757831.27506285640107
0.0772.8827130642941.14389550151757
0.0873.39822083363921.10413720699535
0.0973.85754065508961.08743281374456
0.174.28344250423121.07972262812405
0.1174.68390470860861.07048429476111
0.1275.06098435139781.04692113894872
0.1375.41408664619541.00611956280981
0.1475.74258441774780.957787148697661
0.1576.04794728532280.916961467526504
0.1676.33420514729060.893569527514211
0.1776.60671031167470.887754911929215
0.1876.87026801392390.892300559586831
0.1977.12774507359180.897769075247577
0.277.37963112059880.895985823958523
0.2177.62442545111050.881803947696419
0.2277.85948412994860.8532582407843
0.2378.08200781283630.811887082900974
0.2478.28997102993610.76220443353413
0.2578.48286183070630.71204376415386
0.2678.66211468225890.670637566819659
0.2778.8311368373050.647384898951306
0.2878.99489252911180.649138159959408
0.2979.15911694606110.677867716374761
0.379.32934147886390.729315635491495
0.3179.50997307088210.795109502675034
0.3279.70365364441530.865636639097805
0.3379.91103514067730.931791619099766
0.3480.13097713005480.98707251709534
0.3580.3610560068961.02794789722892
0.3680.59820808438321.05411072360696
0.3780.83933011060371.06713036435789
0.3881.08171851065741.06995178932517
0.3981.32331160164531.06562878427181
0.481.56277072929211.05731736429794
0.4181.79947069410171.04737645561974
0.4282.03346063349391.0386891599009
0.4382.26541732973321.03396081480865
0.4482.49656927594871.03570022893454
0.4582.72854688460541.04618671551882
0.4682.96312537296951.06577782837662
0.4783.20186820424661.09254920557037
0.4883.44573155726381.12240202614709
0.4983.69472909363011.1495258814621
0.583.94776161906781.16777300184137
0.5184.20268256294131.17217194376806
0.5284.45660821832791.15991933765266
0.5384.70641307516491.13145734180933
0.5484.94929844020321.08975286817917
0.5585.18330238780741.04033529956251
0.5685.40763448171420.989590347142481
0.5785.62276252498810.944048670339523
0.5885.83023786335160.908729262162009
0.5986.03230663241630.886165420822056
0.686.23140479084760.875791649383141
0.6186.42966509964020.874711907469667
0.6286.62856684570450.878461992430471
0.6386.82882972967160.882341553931969
0.6487.03059330082550.883629467273287
0.6587.23384224976950.882270442958577
0.6687.43895426818840.881140591495608
0.6787.64718565977340.885796667045166
0.6887.86089491042720.902604254549678
0.6988.08335209377240.936134546461238
0.788.31809218797020.986595911651791
0.7188.56792213903091.04845221846585
0.7288.83384386184411.11112808579168
0.7389.11425511836741.16118131981238
0.7489.4047864072491.18628224983815
0.7589.69899515397781.1784806427344
0.7689.98987987395341.13773206880689
0.7790.2718604548851.07284048542996
0.7890.54260754893381.00054497699201
0.7990.80402291882860.941185054237698
0.891.06186510971970.912381885560137
0.8191.32397372123690.920286210925575
0.8291.59762982761640.956114266373058
0.8391.88705809888651.00026885875446
0.8492.19219939589931.03196316335883
0.8592.50958505840831.03863429311895
0.8692.83554485122411.02184006544684
0.8793.17124673074081.00102861824752
0.8893.52818735427591.01409609679249
0.8993.9316081195141.10920179116194
0.994.418351730331.31673916043678
0.9195.02673806657991.6137522293811
0.9295.78166990842161.9193423047513
0.9396.68764491330292.13847560855176
0.9497.74549979057072.24953469312392
0.9598.98629533973532.37754247949836
0.96100.4641774861322.65554699806073
0.97102.1350395016322.80688868557539
0.98103.6954600824732.2053467075301
0.99104.6920317061140.883370058037571

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.4578513310665 & 1.17581151287201 \tabularnewline
0.02 & 66.7344385672533 & 2.52791281570421 \tabularnewline
0.03 & 68.4936390924673 & 2.84893118596692 \tabularnewline
0.04 & 70.1460547043647 & 2.30983773236987 \tabularnewline
0.05 & 71.3893811650124 & 1.6510163228063 \tabularnewline
0.06 & 72.2522937275783 & 1.27506285640107 \tabularnewline
0.07 & 72.882713064294 & 1.14389550151757 \tabularnewline
0.08 & 73.3982208336392 & 1.10413720699535 \tabularnewline
0.09 & 73.8575406550896 & 1.08743281374456 \tabularnewline
0.1 & 74.2834425042312 & 1.07972262812405 \tabularnewline
0.11 & 74.6839047086086 & 1.07048429476111 \tabularnewline
0.12 & 75.0609843513978 & 1.04692113894872 \tabularnewline
0.13 & 75.4140866461954 & 1.00611956280981 \tabularnewline
0.14 & 75.7425844177478 & 0.957787148697661 \tabularnewline
0.15 & 76.0479472853228 & 0.916961467526504 \tabularnewline
0.16 & 76.3342051472906 & 0.893569527514211 \tabularnewline
0.17 & 76.6067103116747 & 0.887754911929215 \tabularnewline
0.18 & 76.8702680139239 & 0.892300559586831 \tabularnewline
0.19 & 77.1277450735918 & 0.897769075247577 \tabularnewline
0.2 & 77.3796311205988 & 0.895985823958523 \tabularnewline
0.21 & 77.6244254511105 & 0.881803947696419 \tabularnewline
0.22 & 77.8594841299486 & 0.8532582407843 \tabularnewline
0.23 & 78.0820078128363 & 0.811887082900974 \tabularnewline
0.24 & 78.2899710299361 & 0.76220443353413 \tabularnewline
0.25 & 78.4828618307063 & 0.71204376415386 \tabularnewline
0.26 & 78.6621146822589 & 0.670637566819659 \tabularnewline
0.27 & 78.831136837305 & 0.647384898951306 \tabularnewline
0.28 & 78.9948925291118 & 0.649138159959408 \tabularnewline
0.29 & 79.1591169460611 & 0.677867716374761 \tabularnewline
0.3 & 79.3293414788639 & 0.729315635491495 \tabularnewline
0.31 & 79.5099730708821 & 0.795109502675034 \tabularnewline
0.32 & 79.7036536444153 & 0.865636639097805 \tabularnewline
0.33 & 79.9110351406773 & 0.931791619099766 \tabularnewline
0.34 & 80.1309771300548 & 0.98707251709534 \tabularnewline
0.35 & 80.361056006896 & 1.02794789722892 \tabularnewline
0.36 & 80.5982080843832 & 1.05411072360696 \tabularnewline
0.37 & 80.8393301106037 & 1.06713036435789 \tabularnewline
0.38 & 81.0817185106574 & 1.06995178932517 \tabularnewline
0.39 & 81.3233116016453 & 1.06562878427181 \tabularnewline
0.4 & 81.5627707292921 & 1.05731736429794 \tabularnewline
0.41 & 81.7994706941017 & 1.04737645561974 \tabularnewline
0.42 & 82.0334606334939 & 1.0386891599009 \tabularnewline
0.43 & 82.2654173297332 & 1.03396081480865 \tabularnewline
0.44 & 82.4965692759487 & 1.03570022893454 \tabularnewline
0.45 & 82.7285468846054 & 1.04618671551882 \tabularnewline
0.46 & 82.9631253729695 & 1.06577782837662 \tabularnewline
0.47 & 83.2018682042466 & 1.09254920557037 \tabularnewline
0.48 & 83.4457315572638 & 1.12240202614709 \tabularnewline
0.49 & 83.6947290936301 & 1.1495258814621 \tabularnewline
0.5 & 83.9477616190678 & 1.16777300184137 \tabularnewline
0.51 & 84.2026825629413 & 1.17217194376806 \tabularnewline
0.52 & 84.4566082183279 & 1.15991933765266 \tabularnewline
0.53 & 84.7064130751649 & 1.13145734180933 \tabularnewline
0.54 & 84.9492984402032 & 1.08975286817917 \tabularnewline
0.55 & 85.1833023878074 & 1.04033529956251 \tabularnewline
0.56 & 85.4076344817142 & 0.989590347142481 \tabularnewline
0.57 & 85.6227625249881 & 0.944048670339523 \tabularnewline
0.58 & 85.8302378633516 & 0.908729262162009 \tabularnewline
0.59 & 86.0323066324163 & 0.886165420822056 \tabularnewline
0.6 & 86.2314047908476 & 0.875791649383141 \tabularnewline
0.61 & 86.4296650996402 & 0.874711907469667 \tabularnewline
0.62 & 86.6285668457045 & 0.878461992430471 \tabularnewline
0.63 & 86.8288297296716 & 0.882341553931969 \tabularnewline
0.64 & 87.0305933008255 & 0.883629467273287 \tabularnewline
0.65 & 87.2338422497695 & 0.882270442958577 \tabularnewline
0.66 & 87.4389542681884 & 0.881140591495608 \tabularnewline
0.67 & 87.6471856597734 & 0.885796667045166 \tabularnewline
0.68 & 87.8608949104272 & 0.902604254549678 \tabularnewline
0.69 & 88.0833520937724 & 0.936134546461238 \tabularnewline
0.7 & 88.3180921879702 & 0.986595911651791 \tabularnewline
0.71 & 88.5679221390309 & 1.04845221846585 \tabularnewline
0.72 & 88.8338438618441 & 1.11112808579168 \tabularnewline
0.73 & 89.1142551183674 & 1.16118131981238 \tabularnewline
0.74 & 89.404786407249 & 1.18628224983815 \tabularnewline
0.75 & 89.6989951539778 & 1.1784806427344 \tabularnewline
0.76 & 89.9898798739534 & 1.13773206880689 \tabularnewline
0.77 & 90.271860454885 & 1.07284048542996 \tabularnewline
0.78 & 90.5426075489338 & 1.00054497699201 \tabularnewline
0.79 & 90.8040229188286 & 0.941185054237698 \tabularnewline
0.8 & 91.0618651097197 & 0.912381885560137 \tabularnewline
0.81 & 91.3239737212369 & 0.920286210925575 \tabularnewline
0.82 & 91.5976298276164 & 0.956114266373058 \tabularnewline
0.83 & 91.8870580988865 & 1.00026885875446 \tabularnewline
0.84 & 92.1921993958993 & 1.03196316335883 \tabularnewline
0.85 & 92.5095850584083 & 1.03863429311895 \tabularnewline
0.86 & 92.8355448512241 & 1.02184006544684 \tabularnewline
0.87 & 93.1712467307408 & 1.00102861824752 \tabularnewline
0.88 & 93.5281873542759 & 1.01409609679249 \tabularnewline
0.89 & 93.931608119514 & 1.10920179116194 \tabularnewline
0.9 & 94.41835173033 & 1.31673916043678 \tabularnewline
0.91 & 95.0267380665799 & 1.6137522293811 \tabularnewline
0.92 & 95.7816699084216 & 1.9193423047513 \tabularnewline
0.93 & 96.6876449133029 & 2.13847560855176 \tabularnewline
0.94 & 97.7454997905707 & 2.24953469312392 \tabularnewline
0.95 & 98.9862953397353 & 2.37754247949836 \tabularnewline
0.96 & 100.464177486132 & 2.65554699806073 \tabularnewline
0.97 & 102.135039501632 & 2.80688868557539 \tabularnewline
0.98 & 103.695460082473 & 2.2053467075301 \tabularnewline
0.99 & 104.692031706114 & 0.883370058037571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296390&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]65.4578513310665[/C][C]1.17581151287201[/C][/ROW]
[ROW][C]0.02[/C][C]66.7344385672533[/C][C]2.52791281570421[/C][/ROW]
[ROW][C]0.03[/C][C]68.4936390924673[/C][C]2.84893118596692[/C][/ROW]
[ROW][C]0.04[/C][C]70.1460547043647[/C][C]2.30983773236987[/C][/ROW]
[ROW][C]0.05[/C][C]71.3893811650124[/C][C]1.6510163228063[/C][/ROW]
[ROW][C]0.06[/C][C]72.2522937275783[/C][C]1.27506285640107[/C][/ROW]
[ROW][C]0.07[/C][C]72.882713064294[/C][C]1.14389550151757[/C][/ROW]
[ROW][C]0.08[/C][C]73.3982208336392[/C][C]1.10413720699535[/C][/ROW]
[ROW][C]0.09[/C][C]73.8575406550896[/C][C]1.08743281374456[/C][/ROW]
[ROW][C]0.1[/C][C]74.2834425042312[/C][C]1.07972262812405[/C][/ROW]
[ROW][C]0.11[/C][C]74.6839047086086[/C][C]1.07048429476111[/C][/ROW]
[ROW][C]0.12[/C][C]75.0609843513978[/C][C]1.04692113894872[/C][/ROW]
[ROW][C]0.13[/C][C]75.4140866461954[/C][C]1.00611956280981[/C][/ROW]
[ROW][C]0.14[/C][C]75.7425844177478[/C][C]0.957787148697661[/C][/ROW]
[ROW][C]0.15[/C][C]76.0479472853228[/C][C]0.916961467526504[/C][/ROW]
[ROW][C]0.16[/C][C]76.3342051472906[/C][C]0.893569527514211[/C][/ROW]
[ROW][C]0.17[/C][C]76.6067103116747[/C][C]0.887754911929215[/C][/ROW]
[ROW][C]0.18[/C][C]76.8702680139239[/C][C]0.892300559586831[/C][/ROW]
[ROW][C]0.19[/C][C]77.1277450735918[/C][C]0.897769075247577[/C][/ROW]
[ROW][C]0.2[/C][C]77.3796311205988[/C][C]0.895985823958523[/C][/ROW]
[ROW][C]0.21[/C][C]77.6244254511105[/C][C]0.881803947696419[/C][/ROW]
[ROW][C]0.22[/C][C]77.8594841299486[/C][C]0.8532582407843[/C][/ROW]
[ROW][C]0.23[/C][C]78.0820078128363[/C][C]0.811887082900974[/C][/ROW]
[ROW][C]0.24[/C][C]78.2899710299361[/C][C]0.76220443353413[/C][/ROW]
[ROW][C]0.25[/C][C]78.4828618307063[/C][C]0.71204376415386[/C][/ROW]
[ROW][C]0.26[/C][C]78.6621146822589[/C][C]0.670637566819659[/C][/ROW]
[ROW][C]0.27[/C][C]78.831136837305[/C][C]0.647384898951306[/C][/ROW]
[ROW][C]0.28[/C][C]78.9948925291118[/C][C]0.649138159959408[/C][/ROW]
[ROW][C]0.29[/C][C]79.1591169460611[/C][C]0.677867716374761[/C][/ROW]
[ROW][C]0.3[/C][C]79.3293414788639[/C][C]0.729315635491495[/C][/ROW]
[ROW][C]0.31[/C][C]79.5099730708821[/C][C]0.795109502675034[/C][/ROW]
[ROW][C]0.32[/C][C]79.7036536444153[/C][C]0.865636639097805[/C][/ROW]
[ROW][C]0.33[/C][C]79.9110351406773[/C][C]0.931791619099766[/C][/ROW]
[ROW][C]0.34[/C][C]80.1309771300548[/C][C]0.98707251709534[/C][/ROW]
[ROW][C]0.35[/C][C]80.361056006896[/C][C]1.02794789722892[/C][/ROW]
[ROW][C]0.36[/C][C]80.5982080843832[/C][C]1.05411072360696[/C][/ROW]
[ROW][C]0.37[/C][C]80.8393301106037[/C][C]1.06713036435789[/C][/ROW]
[ROW][C]0.38[/C][C]81.0817185106574[/C][C]1.06995178932517[/C][/ROW]
[ROW][C]0.39[/C][C]81.3233116016453[/C][C]1.06562878427181[/C][/ROW]
[ROW][C]0.4[/C][C]81.5627707292921[/C][C]1.05731736429794[/C][/ROW]
[ROW][C]0.41[/C][C]81.7994706941017[/C][C]1.04737645561974[/C][/ROW]
[ROW][C]0.42[/C][C]82.0334606334939[/C][C]1.0386891599009[/C][/ROW]
[ROW][C]0.43[/C][C]82.2654173297332[/C][C]1.03396081480865[/C][/ROW]
[ROW][C]0.44[/C][C]82.4965692759487[/C][C]1.03570022893454[/C][/ROW]
[ROW][C]0.45[/C][C]82.7285468846054[/C][C]1.04618671551882[/C][/ROW]
[ROW][C]0.46[/C][C]82.9631253729695[/C][C]1.06577782837662[/C][/ROW]
[ROW][C]0.47[/C][C]83.2018682042466[/C][C]1.09254920557037[/C][/ROW]
[ROW][C]0.48[/C][C]83.4457315572638[/C][C]1.12240202614709[/C][/ROW]
[ROW][C]0.49[/C][C]83.6947290936301[/C][C]1.1495258814621[/C][/ROW]
[ROW][C]0.5[/C][C]83.9477616190678[/C][C]1.16777300184137[/C][/ROW]
[ROW][C]0.51[/C][C]84.2026825629413[/C][C]1.17217194376806[/C][/ROW]
[ROW][C]0.52[/C][C]84.4566082183279[/C][C]1.15991933765266[/C][/ROW]
[ROW][C]0.53[/C][C]84.7064130751649[/C][C]1.13145734180933[/C][/ROW]
[ROW][C]0.54[/C][C]84.9492984402032[/C][C]1.08975286817917[/C][/ROW]
[ROW][C]0.55[/C][C]85.1833023878074[/C][C]1.04033529956251[/C][/ROW]
[ROW][C]0.56[/C][C]85.4076344817142[/C][C]0.989590347142481[/C][/ROW]
[ROW][C]0.57[/C][C]85.6227625249881[/C][C]0.944048670339523[/C][/ROW]
[ROW][C]0.58[/C][C]85.8302378633516[/C][C]0.908729262162009[/C][/ROW]
[ROW][C]0.59[/C][C]86.0323066324163[/C][C]0.886165420822056[/C][/ROW]
[ROW][C]0.6[/C][C]86.2314047908476[/C][C]0.875791649383141[/C][/ROW]
[ROW][C]0.61[/C][C]86.4296650996402[/C][C]0.874711907469667[/C][/ROW]
[ROW][C]0.62[/C][C]86.6285668457045[/C][C]0.878461992430471[/C][/ROW]
[ROW][C]0.63[/C][C]86.8288297296716[/C][C]0.882341553931969[/C][/ROW]
[ROW][C]0.64[/C][C]87.0305933008255[/C][C]0.883629467273287[/C][/ROW]
[ROW][C]0.65[/C][C]87.2338422497695[/C][C]0.882270442958577[/C][/ROW]
[ROW][C]0.66[/C][C]87.4389542681884[/C][C]0.881140591495608[/C][/ROW]
[ROW][C]0.67[/C][C]87.6471856597734[/C][C]0.885796667045166[/C][/ROW]
[ROW][C]0.68[/C][C]87.8608949104272[/C][C]0.902604254549678[/C][/ROW]
[ROW][C]0.69[/C][C]88.0833520937724[/C][C]0.936134546461238[/C][/ROW]
[ROW][C]0.7[/C][C]88.3180921879702[/C][C]0.986595911651791[/C][/ROW]
[ROW][C]0.71[/C][C]88.5679221390309[/C][C]1.04845221846585[/C][/ROW]
[ROW][C]0.72[/C][C]88.8338438618441[/C][C]1.11112808579168[/C][/ROW]
[ROW][C]0.73[/C][C]89.1142551183674[/C][C]1.16118131981238[/C][/ROW]
[ROW][C]0.74[/C][C]89.404786407249[/C][C]1.18628224983815[/C][/ROW]
[ROW][C]0.75[/C][C]89.6989951539778[/C][C]1.1784806427344[/C][/ROW]
[ROW][C]0.76[/C][C]89.9898798739534[/C][C]1.13773206880689[/C][/ROW]
[ROW][C]0.77[/C][C]90.271860454885[/C][C]1.07284048542996[/C][/ROW]
[ROW][C]0.78[/C][C]90.5426075489338[/C][C]1.00054497699201[/C][/ROW]
[ROW][C]0.79[/C][C]90.8040229188286[/C][C]0.941185054237698[/C][/ROW]
[ROW][C]0.8[/C][C]91.0618651097197[/C][C]0.912381885560137[/C][/ROW]
[ROW][C]0.81[/C][C]91.3239737212369[/C][C]0.920286210925575[/C][/ROW]
[ROW][C]0.82[/C][C]91.5976298276164[/C][C]0.956114266373058[/C][/ROW]
[ROW][C]0.83[/C][C]91.8870580988865[/C][C]1.00026885875446[/C][/ROW]
[ROW][C]0.84[/C][C]92.1921993958993[/C][C]1.03196316335883[/C][/ROW]
[ROW][C]0.85[/C][C]92.5095850584083[/C][C]1.03863429311895[/C][/ROW]
[ROW][C]0.86[/C][C]92.8355448512241[/C][C]1.02184006544684[/C][/ROW]
[ROW][C]0.87[/C][C]93.1712467307408[/C][C]1.00102861824752[/C][/ROW]
[ROW][C]0.88[/C][C]93.5281873542759[/C][C]1.01409609679249[/C][/ROW]
[ROW][C]0.89[/C][C]93.931608119514[/C][C]1.10920179116194[/C][/ROW]
[ROW][C]0.9[/C][C]94.41835173033[/C][C]1.31673916043678[/C][/ROW]
[ROW][C]0.91[/C][C]95.0267380665799[/C][C]1.6137522293811[/C][/ROW]
[ROW][C]0.92[/C][C]95.7816699084216[/C][C]1.9193423047513[/C][/ROW]
[ROW][C]0.93[/C][C]96.6876449133029[/C][C]2.13847560855176[/C][/ROW]
[ROW][C]0.94[/C][C]97.7454997905707[/C][C]2.24953469312392[/C][/ROW]
[ROW][C]0.95[/C][C]98.9862953397353[/C][C]2.37754247949836[/C][/ROW]
[ROW][C]0.96[/C][C]100.464177486132[/C][C]2.65554699806073[/C][/ROW]
[ROW][C]0.97[/C][C]102.135039501632[/C][C]2.80688868557539[/C][/ROW]
[ROW][C]0.98[/C][C]103.695460082473[/C][C]2.2053467075301[/C][/ROW]
[ROW][C]0.99[/C][C]104.692031706114[/C][C]0.883370058037571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296390&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
0.0165.45785133106651.17581151287201
0.0266.73443856725332.52791281570421
0.0368.49363909246732.84893118596692
0.0470.14605470436472.30983773236987
0.0571.38938116501241.6510163228063
0.0672.25229372757831.27506285640107
0.0772.8827130642941.14389550151757
0.0873.39822083363921.10413720699535
0.0973.85754065508961.08743281374456
0.174.28344250423121.07972262812405
0.1174.68390470860861.07048429476111
0.1275.06098435139781.04692113894872
0.1375.41408664619541.00611956280981
0.1475.74258441774780.957787148697661
0.1576.04794728532280.916961467526504
0.1676.33420514729060.893569527514211
0.1776.60671031167470.887754911929215
0.1876.87026801392390.892300559586831
0.1977.12774507359180.897769075247577
0.277.37963112059880.895985823958523
0.2177.62442545111050.881803947696419
0.2277.85948412994860.8532582407843
0.2378.08200781283630.811887082900974
0.2478.28997102993610.76220443353413
0.2578.48286183070630.71204376415386
0.2678.66211468225890.670637566819659
0.2778.8311368373050.647384898951306
0.2878.99489252911180.649138159959408
0.2979.15911694606110.677867716374761
0.379.32934147886390.729315635491495
0.3179.50997307088210.795109502675034
0.3279.70365364441530.865636639097805
0.3379.91103514067730.931791619099766
0.3480.13097713005480.98707251709534
0.3580.3610560068961.02794789722892
0.3680.59820808438321.05411072360696
0.3780.83933011060371.06713036435789
0.3881.08171851065741.06995178932517
0.3981.32331160164531.06562878427181
0.481.56277072929211.05731736429794
0.4181.79947069410171.04737645561974
0.4282.03346063349391.0386891599009
0.4382.26541732973321.03396081480865
0.4482.49656927594871.03570022893454
0.4582.72854688460541.04618671551882
0.4682.96312537296951.06577782837662
0.4783.20186820424661.09254920557037
0.4883.44573155726381.12240202614709
0.4983.69472909363011.1495258814621
0.583.94776161906781.16777300184137
0.5184.20268256294131.17217194376806
0.5284.45660821832791.15991933765266
0.5384.70641307516491.13145734180933
0.5484.94929844020321.08975286817917
0.5585.18330238780741.04033529956251
0.5685.40763448171420.989590347142481
0.5785.62276252498810.944048670339523
0.5885.83023786335160.908729262162009
0.5986.03230663241630.886165420822056
0.686.23140479084760.875791649383141
0.6186.42966509964020.874711907469667
0.6286.62856684570450.878461992430471
0.6386.82882972967160.882341553931969
0.6487.03059330082550.883629467273287
0.6587.23384224976950.882270442958577
0.6687.43895426818840.881140591495608
0.6787.64718565977340.885796667045166
0.6887.86089491042720.902604254549678
0.6988.08335209377240.936134546461238
0.788.31809218797020.986595911651791
0.7188.56792213903091.04845221846585
0.7288.83384386184411.11112808579168
0.7389.11425511836741.16118131981238
0.7489.4047864072491.18628224983815
0.7589.69899515397781.1784806427344
0.7689.98987987395341.13773206880689
0.7790.2718604548851.07284048542996
0.7890.54260754893381.00054497699201
0.7990.80402291882860.941185054237698
0.891.06186510971970.912381885560137
0.8191.32397372123690.920286210925575
0.8291.59762982761640.956114266373058
0.8391.88705809888651.00026885875446
0.8492.19219939589931.03196316335883
0.8592.50958505840831.03863429311895
0.8692.83554485122411.02184006544684
0.8793.17124673074081.00102861824752
0.8893.52818735427591.01409609679249
0.8993.9316081195141.10920179116194
0.994.418351730331.31673916043678
0.9195.02673806657991.6137522293811
0.9295.78166990842161.9193423047513
0.9396.68764491330292.13847560855176
0.9497.74549979057072.24953469312392
0.9598.98629533973532.37754247949836
0.96100.4641774861322.65554699806073
0.97102.1350395016322.80688868557539
0.98103.6954600824732.2053467075301
0.99104.6920317061140.883370058037571


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')