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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, 12 Aug 2010 10:08:00 +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/Aug/12/t12816077454q2nbn41z59nmgp.htm/, Retrieved Sat, 04 May 2024 06:19:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78663, Retrieved Sat, 04 May 2024 06:19:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVanhille Olivier
Estimated Impact153

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] [tijdreeks B - stap 6] [2010-08-12 10:08:00] [ddb1c76c3acba5bf82e5ed3b5a08f68d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31
30
29
27
25
24
25
27
28
28
29
31
31
27
25
16
20
21
25
24
28
27
23
36
37
30
27
22
22
25
33
35
35
29
25
34
31
29
21
19
18
25
23
22
20
15
17
25
26
26
23
24
24
42
40
45
47
40
39
49
55
54
48
44
48
62
57
60
56
57
54
62
65
68
69
67
72
82
72
77
79
78
76
79

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78663&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78663&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78663&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.45232369040001.02667487626170
0.0216.18087246795291.17876782410710
0.0316.97918901359971.33487801180582
0.0417.75241243475591.41296250842843
0.0518.46790017449841.40899378176229
0.0619.11294656765481.350809171807
0.0719.68512992492571.27275351109726
0.0820.19023386123051.19948389125287
0.0920.63869684443521.14027668820299
0.121.04175507390901.09398990569763
0.1121.40909563065621.05704939301178
0.1221.74820030195941.02730430681531
0.1322.06461413606211.00358294378852
0.1422.36238434701730.984294641124806
0.1522.64434145296810.966742684592352
0.1622.9122441351630.947875941399742
0.1723.16691798383060.925040250087745
0.1823.40846510901440.89663626644177
0.1923.63654040063060.862208381774944
0.223.85065386924350.822283997051076
0.2124.05046637405110.778371898537291
0.2224.23606443353580.732894528010965
0.2324.40820220161460.689450778963959
0.2424.56848252464030.652741657796151
0.2524.71943044891990.628331932658597
0.2624.86441129557620.621452763229136
0.2725.0073710318580.635475454381529
0.2825.15242321913720.670362779151996
0.2925.30335646950350.722450624498602
0.325.46316847361870.785482682136146
0.3125.63373339948070.852266801559378
0.3225.81567732396670.916154456480133
0.3326.00848217856960.97214945745743
0.3426.21078066004471.01755587275024
0.3526.42076101853841.05204521119624
0.3626.63658363153071.07736099211997
0.3726.85672308441221.09660304029026
0.3827.08018299135011.11331485893558
0.3927.30657302783701.13068248664726
0.427.53607483528791.15113822243146
0.4127.76934563088911.17638291108409
0.4228.00741194561541.20737855494974
0.4328.25159372494131.24517713471140
0.4428.50347803487351.29088446315833
0.4528.76493978933791.34612047818744
0.4629.03819044068571.41291710797792
0.4729.32582743669851.49362907083140
0.4829.63085736015181.59061300366061
0.4929.95667205978241.70585482890107
0.530.30696727079061.84069510765562
0.5130.68560505565041.99537775539619
0.5231.09643312541362.16895128608131
0.5331.54308399481832.35916659526191
0.5432.02878297600322.56276707763304
0.5532.55619422235582.77584918601843
0.5633.12732724924482.99422792175302
0.5733.74351327616723.21416483485415
0.5834.40544434655443.43242628517424
0.5935.11325323670943.64649360411711
0.635.86660366069063.85451795211202
0.6136.66476151446074.05478990931296
0.6237.50662892142514.24572438691728
0.6338.39073994975484.42535142311805
0.6439.31523359016494.59126704969791
0.6540.27782886428354.74111826906092
0.6641.27582406719364.87235635556875
0.6742.30612740229264.98309865214585
0.6843.36530610474975.07211887566777
0.6944.44962688838395.13877040637611
0.745.55506398294825.18259362005026
0.7146.6772778967595.2028348509468
0.7247.81161202604455.19804755786754
0.7348.95319530646695.16664709193933
0.7450.09724932365435.10795506345067
0.7551.23965493453345.02408446441912
0.7652.37773447167954.92166354985306
0.7753.51107901303664.81245251700123
0.7854.64214927777374.71175871881169
0.7955.77636144163424.63514634059146
0.856.92146950587634.59352955382997
0.8158.08626135886894.58896613037350
0.8259.27883489201564.61325998504986
0.8360.50492332012824.64971795409155
0.8461.76680927204874.67816547661015
0.8563.06325207062134.68081712916775
0.8664.39054492518824.64728684649048
0.8765.74436110662694.57773715781554
0.8867.12154305289324.48174225222393
0.8968.52062480221474.37241341465235
0.969.93994634733624.25563925465315
0.9171.37302804054814.11833290385035
0.9272.80249308121713.92406993800718
0.9374.19577908521423.62406978740783
0.9475.50735555561033.18403141738088
0.9576.69312578723842.6148804536538
0.9677.74325607337991.99362103011143
0.9778.72988498124791.4972931513491
0.9879.81147820849621.49692850294826
0.9981.04211438896742.19104368214056

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.4523236904000 & 1.02667487626170 \tabularnewline
0.02 & 16.1808724679529 & 1.17876782410710 \tabularnewline
0.03 & 16.9791890135997 & 1.33487801180582 \tabularnewline
0.04 & 17.7524124347559 & 1.41296250842843 \tabularnewline
0.05 & 18.4679001744984 & 1.40899378176229 \tabularnewline
0.06 & 19.1129465676548 & 1.350809171807 \tabularnewline
0.07 & 19.6851299249257 & 1.27275351109726 \tabularnewline
0.08 & 20.1902338612305 & 1.19948389125287 \tabularnewline
0.09 & 20.6386968444352 & 1.14027668820299 \tabularnewline
0.1 & 21.0417550739090 & 1.09398990569763 \tabularnewline
0.11 & 21.4090956306562 & 1.05704939301178 \tabularnewline
0.12 & 21.7482003019594 & 1.02730430681531 \tabularnewline
0.13 & 22.0646141360621 & 1.00358294378852 \tabularnewline
0.14 & 22.3623843470173 & 0.984294641124806 \tabularnewline
0.15 & 22.6443414529681 & 0.966742684592352 \tabularnewline
0.16 & 22.912244135163 & 0.947875941399742 \tabularnewline
0.17 & 23.1669179838306 & 0.925040250087745 \tabularnewline
0.18 & 23.4084651090144 & 0.89663626644177 \tabularnewline
0.19 & 23.6365404006306 & 0.862208381774944 \tabularnewline
0.2 & 23.8506538692435 & 0.822283997051076 \tabularnewline
0.21 & 24.0504663740511 & 0.778371898537291 \tabularnewline
0.22 & 24.2360644335358 & 0.732894528010965 \tabularnewline
0.23 & 24.4082022016146 & 0.689450778963959 \tabularnewline
0.24 & 24.5684825246403 & 0.652741657796151 \tabularnewline
0.25 & 24.7194304489199 & 0.628331932658597 \tabularnewline
0.26 & 24.8644112955762 & 0.621452763229136 \tabularnewline
0.27 & 25.007371031858 & 0.635475454381529 \tabularnewline
0.28 & 25.1524232191372 & 0.670362779151996 \tabularnewline
0.29 & 25.3033564695035 & 0.722450624498602 \tabularnewline
0.3 & 25.4631684736187 & 0.785482682136146 \tabularnewline
0.31 & 25.6337333994807 & 0.852266801559378 \tabularnewline
0.32 & 25.8156773239667 & 0.916154456480133 \tabularnewline
0.33 & 26.0084821785696 & 0.97214945745743 \tabularnewline
0.34 & 26.2107806600447 & 1.01755587275024 \tabularnewline
0.35 & 26.4207610185384 & 1.05204521119624 \tabularnewline
0.36 & 26.6365836315307 & 1.07736099211997 \tabularnewline
0.37 & 26.8567230844122 & 1.09660304029026 \tabularnewline
0.38 & 27.0801829913501 & 1.11331485893558 \tabularnewline
0.39 & 27.3065730278370 & 1.13068248664726 \tabularnewline
0.4 & 27.5360748352879 & 1.15113822243146 \tabularnewline
0.41 & 27.7693456308891 & 1.17638291108409 \tabularnewline
0.42 & 28.0074119456154 & 1.20737855494974 \tabularnewline
0.43 & 28.2515937249413 & 1.24517713471140 \tabularnewline
0.44 & 28.5034780348735 & 1.29088446315833 \tabularnewline
0.45 & 28.7649397893379 & 1.34612047818744 \tabularnewline
0.46 & 29.0381904406857 & 1.41291710797792 \tabularnewline
0.47 & 29.3258274366985 & 1.49362907083140 \tabularnewline
0.48 & 29.6308573601518 & 1.59061300366061 \tabularnewline
0.49 & 29.9566720597824 & 1.70585482890107 \tabularnewline
0.5 & 30.3069672707906 & 1.84069510765562 \tabularnewline
0.51 & 30.6856050556504 & 1.99537775539619 \tabularnewline
0.52 & 31.0964331254136 & 2.16895128608131 \tabularnewline
0.53 & 31.5430839948183 & 2.35916659526191 \tabularnewline
0.54 & 32.0287829760032 & 2.56276707763304 \tabularnewline
0.55 & 32.5561942223558 & 2.77584918601843 \tabularnewline
0.56 & 33.1273272492448 & 2.99422792175302 \tabularnewline
0.57 & 33.7435132761672 & 3.21416483485415 \tabularnewline
0.58 & 34.4054443465544 & 3.43242628517424 \tabularnewline
0.59 & 35.1132532367094 & 3.64649360411711 \tabularnewline
0.6 & 35.8666036606906 & 3.85451795211202 \tabularnewline
0.61 & 36.6647615144607 & 4.05478990931296 \tabularnewline
0.62 & 37.5066289214251 & 4.24572438691728 \tabularnewline
0.63 & 38.3907399497548 & 4.42535142311805 \tabularnewline
0.64 & 39.3152335901649 & 4.59126704969791 \tabularnewline
0.65 & 40.2778288642835 & 4.74111826906092 \tabularnewline
0.66 & 41.2758240671936 & 4.87235635556875 \tabularnewline
0.67 & 42.3061274022926 & 4.98309865214585 \tabularnewline
0.68 & 43.3653061047497 & 5.07211887566777 \tabularnewline
0.69 & 44.4496268883839 & 5.13877040637611 \tabularnewline
0.7 & 45.5550639829482 & 5.18259362005026 \tabularnewline
0.71 & 46.677277896759 & 5.2028348509468 \tabularnewline
0.72 & 47.8116120260445 & 5.19804755786754 \tabularnewline
0.73 & 48.9531953064669 & 5.16664709193933 \tabularnewline
0.74 & 50.0972493236543 & 5.10795506345067 \tabularnewline
0.75 & 51.2396549345334 & 5.02408446441912 \tabularnewline
0.76 & 52.3777344716795 & 4.92166354985306 \tabularnewline
0.77 & 53.5110790130366 & 4.81245251700123 \tabularnewline
0.78 & 54.6421492777737 & 4.71175871881169 \tabularnewline
0.79 & 55.7763614416342 & 4.63514634059146 \tabularnewline
0.8 & 56.9214695058763 & 4.59352955382997 \tabularnewline
0.81 & 58.0862613588689 & 4.58896613037350 \tabularnewline
0.82 & 59.2788348920156 & 4.61325998504986 \tabularnewline
0.83 & 60.5049233201282 & 4.64971795409155 \tabularnewline
0.84 & 61.7668092720487 & 4.67816547661015 \tabularnewline
0.85 & 63.0632520706213 & 4.68081712916775 \tabularnewline
0.86 & 64.3905449251882 & 4.64728684649048 \tabularnewline
0.87 & 65.7443611066269 & 4.57773715781554 \tabularnewline
0.88 & 67.1215430528932 & 4.48174225222393 \tabularnewline
0.89 & 68.5206248022147 & 4.37241341465235 \tabularnewline
0.9 & 69.9399463473362 & 4.25563925465315 \tabularnewline
0.91 & 71.3730280405481 & 4.11833290385035 \tabularnewline
0.92 & 72.8024930812171 & 3.92406993800718 \tabularnewline
0.93 & 74.1957790852142 & 3.62406978740783 \tabularnewline
0.94 & 75.5073555556103 & 3.18403141738088 \tabularnewline
0.95 & 76.6931257872384 & 2.6148804536538 \tabularnewline
0.96 & 77.7432560733799 & 1.99362103011143 \tabularnewline
0.97 & 78.7298849812479 & 1.4972931513491 \tabularnewline
0.98 & 79.8114782084962 & 1.49692850294826 \tabularnewline
0.99 & 81.0421143889674 & 2.19104368214056 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78663&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]15.4523236904000[/C][C]1.02667487626170[/C][/ROW]
[ROW][C]0.02[/C][C]16.1808724679529[/C][C]1.17876782410710[/C][/ROW]
[ROW][C]0.03[/C][C]16.9791890135997[/C][C]1.33487801180582[/C][/ROW]
[ROW][C]0.04[/C][C]17.7524124347559[/C][C]1.41296250842843[/C][/ROW]
[ROW][C]0.05[/C][C]18.4679001744984[/C][C]1.40899378176229[/C][/ROW]
[ROW][C]0.06[/C][C]19.1129465676548[/C][C]1.350809171807[/C][/ROW]
[ROW][C]0.07[/C][C]19.6851299249257[/C][C]1.27275351109726[/C][/ROW]
[ROW][C]0.08[/C][C]20.1902338612305[/C][C]1.19948389125287[/C][/ROW]
[ROW][C]0.09[/C][C]20.6386968444352[/C][C]1.14027668820299[/C][/ROW]
[ROW][C]0.1[/C][C]21.0417550739090[/C][C]1.09398990569763[/C][/ROW]
[ROW][C]0.11[/C][C]21.4090956306562[/C][C]1.05704939301178[/C][/ROW]
[ROW][C]0.12[/C][C]21.7482003019594[/C][C]1.02730430681531[/C][/ROW]
[ROW][C]0.13[/C][C]22.0646141360621[/C][C]1.00358294378852[/C][/ROW]
[ROW][C]0.14[/C][C]22.3623843470173[/C][C]0.984294641124806[/C][/ROW]
[ROW][C]0.15[/C][C]22.6443414529681[/C][C]0.966742684592352[/C][/ROW]
[ROW][C]0.16[/C][C]22.912244135163[/C][C]0.947875941399742[/C][/ROW]
[ROW][C]0.17[/C][C]23.1669179838306[/C][C]0.925040250087745[/C][/ROW]
[ROW][C]0.18[/C][C]23.4084651090144[/C][C]0.89663626644177[/C][/ROW]
[ROW][C]0.19[/C][C]23.6365404006306[/C][C]0.862208381774944[/C][/ROW]
[ROW][C]0.2[/C][C]23.8506538692435[/C][C]0.822283997051076[/C][/ROW]
[ROW][C]0.21[/C][C]24.0504663740511[/C][C]0.778371898537291[/C][/ROW]
[ROW][C]0.22[/C][C]24.2360644335358[/C][C]0.732894528010965[/C][/ROW]
[ROW][C]0.23[/C][C]24.4082022016146[/C][C]0.689450778963959[/C][/ROW]
[ROW][C]0.24[/C][C]24.5684825246403[/C][C]0.652741657796151[/C][/ROW]
[ROW][C]0.25[/C][C]24.7194304489199[/C][C]0.628331932658597[/C][/ROW]
[ROW][C]0.26[/C][C]24.8644112955762[/C][C]0.621452763229136[/C][/ROW]
[ROW][C]0.27[/C][C]25.007371031858[/C][C]0.635475454381529[/C][/ROW]
[ROW][C]0.28[/C][C]25.1524232191372[/C][C]0.670362779151996[/C][/ROW]
[ROW][C]0.29[/C][C]25.3033564695035[/C][C]0.722450624498602[/C][/ROW]
[ROW][C]0.3[/C][C]25.4631684736187[/C][C]0.785482682136146[/C][/ROW]
[ROW][C]0.31[/C][C]25.6337333994807[/C][C]0.852266801559378[/C][/ROW]
[ROW][C]0.32[/C][C]25.8156773239667[/C][C]0.916154456480133[/C][/ROW]
[ROW][C]0.33[/C][C]26.0084821785696[/C][C]0.97214945745743[/C][/ROW]
[ROW][C]0.34[/C][C]26.2107806600447[/C][C]1.01755587275024[/C][/ROW]
[ROW][C]0.35[/C][C]26.4207610185384[/C][C]1.05204521119624[/C][/ROW]
[ROW][C]0.36[/C][C]26.6365836315307[/C][C]1.07736099211997[/C][/ROW]
[ROW][C]0.37[/C][C]26.8567230844122[/C][C]1.09660304029026[/C][/ROW]
[ROW][C]0.38[/C][C]27.0801829913501[/C][C]1.11331485893558[/C][/ROW]
[ROW][C]0.39[/C][C]27.3065730278370[/C][C]1.13068248664726[/C][/ROW]
[ROW][C]0.4[/C][C]27.5360748352879[/C][C]1.15113822243146[/C][/ROW]
[ROW][C]0.41[/C][C]27.7693456308891[/C][C]1.17638291108409[/C][/ROW]
[ROW][C]0.42[/C][C]28.0074119456154[/C][C]1.20737855494974[/C][/ROW]
[ROW][C]0.43[/C][C]28.2515937249413[/C][C]1.24517713471140[/C][/ROW]
[ROW][C]0.44[/C][C]28.5034780348735[/C][C]1.29088446315833[/C][/ROW]
[ROW][C]0.45[/C][C]28.7649397893379[/C][C]1.34612047818744[/C][/ROW]
[ROW][C]0.46[/C][C]29.0381904406857[/C][C]1.41291710797792[/C][/ROW]
[ROW][C]0.47[/C][C]29.3258274366985[/C][C]1.49362907083140[/C][/ROW]
[ROW][C]0.48[/C][C]29.6308573601518[/C][C]1.59061300366061[/C][/ROW]
[ROW][C]0.49[/C][C]29.9566720597824[/C][C]1.70585482890107[/C][/ROW]
[ROW][C]0.5[/C][C]30.3069672707906[/C][C]1.84069510765562[/C][/ROW]
[ROW][C]0.51[/C][C]30.6856050556504[/C][C]1.99537775539619[/C][/ROW]
[ROW][C]0.52[/C][C]31.0964331254136[/C][C]2.16895128608131[/C][/ROW]
[ROW][C]0.53[/C][C]31.5430839948183[/C][C]2.35916659526191[/C][/ROW]
[ROW][C]0.54[/C][C]32.0287829760032[/C][C]2.56276707763304[/C][/ROW]
[ROW][C]0.55[/C][C]32.5561942223558[/C][C]2.77584918601843[/C][/ROW]
[ROW][C]0.56[/C][C]33.1273272492448[/C][C]2.99422792175302[/C][/ROW]
[ROW][C]0.57[/C][C]33.7435132761672[/C][C]3.21416483485415[/C][/ROW]
[ROW][C]0.58[/C][C]34.4054443465544[/C][C]3.43242628517424[/C][/ROW]
[ROW][C]0.59[/C][C]35.1132532367094[/C][C]3.64649360411711[/C][/ROW]
[ROW][C]0.6[/C][C]35.8666036606906[/C][C]3.85451795211202[/C][/ROW]
[ROW][C]0.61[/C][C]36.6647615144607[/C][C]4.05478990931296[/C][/ROW]
[ROW][C]0.62[/C][C]37.5066289214251[/C][C]4.24572438691728[/C][/ROW]
[ROW][C]0.63[/C][C]38.3907399497548[/C][C]4.42535142311805[/C][/ROW]
[ROW][C]0.64[/C][C]39.3152335901649[/C][C]4.59126704969791[/C][/ROW]
[ROW][C]0.65[/C][C]40.2778288642835[/C][C]4.74111826906092[/C][/ROW]
[ROW][C]0.66[/C][C]41.2758240671936[/C][C]4.87235635556875[/C][/ROW]
[ROW][C]0.67[/C][C]42.3061274022926[/C][C]4.98309865214585[/C][/ROW]
[ROW][C]0.68[/C][C]43.3653061047497[/C][C]5.07211887566777[/C][/ROW]
[ROW][C]0.69[/C][C]44.4496268883839[/C][C]5.13877040637611[/C][/ROW]
[ROW][C]0.7[/C][C]45.5550639829482[/C][C]5.18259362005026[/C][/ROW]
[ROW][C]0.71[/C][C]46.677277896759[/C][C]5.2028348509468[/C][/ROW]
[ROW][C]0.72[/C][C]47.8116120260445[/C][C]5.19804755786754[/C][/ROW]
[ROW][C]0.73[/C][C]48.9531953064669[/C][C]5.16664709193933[/C][/ROW]
[ROW][C]0.74[/C][C]50.0972493236543[/C][C]5.10795506345067[/C][/ROW]
[ROW][C]0.75[/C][C]51.2396549345334[/C][C]5.02408446441912[/C][/ROW]
[ROW][C]0.76[/C][C]52.3777344716795[/C][C]4.92166354985306[/C][/ROW]
[ROW][C]0.77[/C][C]53.5110790130366[/C][C]4.81245251700123[/C][/ROW]
[ROW][C]0.78[/C][C]54.6421492777737[/C][C]4.71175871881169[/C][/ROW]
[ROW][C]0.79[/C][C]55.7763614416342[/C][C]4.63514634059146[/C][/ROW]
[ROW][C]0.8[/C][C]56.9214695058763[/C][C]4.59352955382997[/C][/ROW]
[ROW][C]0.81[/C][C]58.0862613588689[/C][C]4.58896613037350[/C][/ROW]
[ROW][C]0.82[/C][C]59.2788348920156[/C][C]4.61325998504986[/C][/ROW]
[ROW][C]0.83[/C][C]60.5049233201282[/C][C]4.64971795409155[/C][/ROW]
[ROW][C]0.84[/C][C]61.7668092720487[/C][C]4.67816547661015[/C][/ROW]
[ROW][C]0.85[/C][C]63.0632520706213[/C][C]4.68081712916775[/C][/ROW]
[ROW][C]0.86[/C][C]64.3905449251882[/C][C]4.64728684649048[/C][/ROW]
[ROW][C]0.87[/C][C]65.7443611066269[/C][C]4.57773715781554[/C][/ROW]
[ROW][C]0.88[/C][C]67.1215430528932[/C][C]4.48174225222393[/C][/ROW]
[ROW][C]0.89[/C][C]68.5206248022147[/C][C]4.37241341465235[/C][/ROW]
[ROW][C]0.9[/C][C]69.9399463473362[/C][C]4.25563925465315[/C][/ROW]
[ROW][C]0.91[/C][C]71.3730280405481[/C][C]4.11833290385035[/C][/ROW]
[ROW][C]0.92[/C][C]72.8024930812171[/C][C]3.92406993800718[/C][/ROW]
[ROW][C]0.93[/C][C]74.1957790852142[/C][C]3.62406978740783[/C][/ROW]
[ROW][C]0.94[/C][C]75.5073555556103[/C][C]3.18403141738088[/C][/ROW]
[ROW][C]0.95[/C][C]76.6931257872384[/C][C]2.6148804536538[/C][/ROW]
[ROW][C]0.96[/C][C]77.7432560733799[/C][C]1.99362103011143[/C][/ROW]
[ROW][C]0.97[/C][C]78.7298849812479[/C][C]1.4972931513491[/C][/ROW]
[ROW][C]0.98[/C][C]79.8114782084962[/C][C]1.49692850294826[/C][/ROW]
[ROW][C]0.99[/C][C]81.0421143889674[/C][C]2.19104368214056[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78663&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78663&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
0.0115.45232369040001.02667487626170
0.0216.18087246795291.17876782410710
0.0316.97918901359971.33487801180582
0.0417.75241243475591.41296250842843
0.0518.46790017449841.40899378176229
0.0619.11294656765481.350809171807
0.0719.68512992492571.27275351109726
0.0820.19023386123051.19948389125287
0.0920.63869684443521.14027668820299
0.121.04175507390901.09398990569763
0.1121.40909563065621.05704939301178
0.1221.74820030195941.02730430681531
0.1322.06461413606211.00358294378852
0.1422.36238434701730.984294641124806
0.1522.64434145296810.966742684592352
0.1622.9122441351630.947875941399742
0.1723.16691798383060.925040250087745
0.1823.40846510901440.89663626644177
0.1923.63654040063060.862208381774944
0.223.85065386924350.822283997051076
0.2124.05046637405110.778371898537291
0.2224.23606443353580.732894528010965
0.2324.40820220161460.689450778963959
0.2424.56848252464030.652741657796151
0.2524.71943044891990.628331932658597
0.2624.86441129557620.621452763229136
0.2725.0073710318580.635475454381529
0.2825.15242321913720.670362779151996
0.2925.30335646950350.722450624498602
0.325.46316847361870.785482682136146
0.3125.63373339948070.852266801559378
0.3225.81567732396670.916154456480133
0.3326.00848217856960.97214945745743
0.3426.21078066004471.01755587275024
0.3526.42076101853841.05204521119624
0.3626.63658363153071.07736099211997
0.3726.85672308441221.09660304029026
0.3827.08018299135011.11331485893558
0.3927.30657302783701.13068248664726
0.427.53607483528791.15113822243146
0.4127.76934563088911.17638291108409
0.4228.00741194561541.20737855494974
0.4328.25159372494131.24517713471140
0.4428.50347803487351.29088446315833
0.4528.76493978933791.34612047818744
0.4629.03819044068571.41291710797792
0.4729.32582743669851.49362907083140
0.4829.63085736015181.59061300366061
0.4929.95667205978241.70585482890107
0.530.30696727079061.84069510765562
0.5130.68560505565041.99537775539619
0.5231.09643312541362.16895128608131
0.5331.54308399481832.35916659526191
0.5432.02878297600322.56276707763304
0.5532.55619422235582.77584918601843
0.5633.12732724924482.99422792175302
0.5733.74351327616723.21416483485415
0.5834.40544434655443.43242628517424
0.5935.11325323670943.64649360411711
0.635.86660366069063.85451795211202
0.6136.66476151446074.05478990931296
0.6237.50662892142514.24572438691728
0.6338.39073994975484.42535142311805
0.6439.31523359016494.59126704969791
0.6540.27782886428354.74111826906092
0.6641.27582406719364.87235635556875
0.6742.30612740229264.98309865214585
0.6843.36530610474975.07211887566777
0.6944.44962688838395.13877040637611
0.745.55506398294825.18259362005026
0.7146.6772778967595.2028348509468
0.7247.81161202604455.19804755786754
0.7348.95319530646695.16664709193933
0.7450.09724932365435.10795506345067
0.7551.23965493453345.02408446441912
0.7652.37773447167954.92166354985306
0.7753.51107901303664.81245251700123
0.7854.64214927777374.71175871881169
0.7955.77636144163424.63514634059146
0.856.92146950587634.59352955382997
0.8158.08626135886894.58896613037350
0.8259.27883489201564.61325998504986
0.8360.50492332012824.64971795409155
0.8461.76680927204874.67816547661015
0.8563.06325207062134.68081712916775
0.8664.39054492518824.64728684649048
0.8765.74436110662694.57773715781554
0.8867.12154305289324.48174225222393
0.8968.52062480221474.37241341465235
0.969.93994634733624.25563925465315
0.9171.37302804054814.11833290385035
0.9272.80249308121713.92406993800718
0.9374.19577908521423.62406978740783
0.9475.50735555561033.18403141738088
0.9576.69312578723842.6148804536538
0.9677.74325607337991.99362103011143
0.9778.72988498124791.4972931513491
0.9879.81147820849621.49692850294826
0.9981.04211438896742.19104368214056


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')