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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 computationSun, 02 Mar 2008 10:50:33 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204480281m1am8qti0iub3jy.htm/, Retrieved Tue, 07 May 2024 02:45:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9636, Retrieved Tue, 07 May 2024 02:45:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

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] [Percentielen Jean...] [2008-03-02 17:50:33] [c804036083fecabefcdec45121c2ee7a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
44.13
44.13
44.14
44.14
44.14
44.14
44.15
44.17
44.19
44.26
44.27
44.29
44.29
44.29
44.29
44.32
44.33
44.34
44.34
44.34
44.37
44.47
44.51
44.51
44.51
44.52
44.7
44.84
44.9
44.91
44.94
44.94
44.95
45.28
45.34
45.34
45.34
45.36
45.44
45.62
45.75
45.77
45.77
45.77
46.09
46.25
46.28
46.29
46.29
46.29
46.3
46.34
46.34
46.35
46.42
46.52
46.59
46.66
46.67
46.72
46.72
46.72
46.76
46.89
47.02
47.02
47.04
47.18
47.22
47.8
47.88
47.91

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9636&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9636&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0144.13080484993250.00237996849013959
0.0244.13258294058710.00457795693902279
0.0344.13507067567640.00563735353164766
0.0444.13798739001490.00674632830610554
0.0544.14141137485210.00975986863380994
0.0644.14578842927770.0152013390460207
0.0744.15170002146540.0225322367951570
0.0844.15960519148690.0310603030797817
0.0944.16967510435060.0394945223014129
0.144.18174352862140.0467154929645378
0.1144.19535251965090.051842126348075
0.1244.20986029007060.054343175424961
0.1344.22457587066020.0542930415731213
0.1444.23888686584630.0520834750068146
0.1544.25235377333050.0486069777961351
0.1644.26475683028120.0448345912355017
0.1744.27609564872970.0415883781399494
0.1844.28655335021260.0396089001162624
0.1944.29644238623080.0393848659924836
0.244.30614839269340.0411202860164657
0.2144.31608327375990.0447367353898232
0.2244.3266522127120.0502546530870078
0.2344.33823399182240.0574354693780983
0.2444.35117113075970.0661116093754898
0.2544.36576584818450.0762329885509817
0.2644.38227878581160.0874764699336665
0.2744.40092870688150.0997214766550736
0.2844.42189225722950.112852669207849
0.2944.44530320221010.126600219633961
0.344.47125062715310.140780221231817
0.3144.49977584189230.155268296565625
0.3244.53086838881360.169716806449367
0.3344.56446247984650.183719201574891
0.3444.6004359429830.196954390840091
0.3544.63861385280110.209125999410184
0.3644.67877819576830.21986910573589
0.3744.7206833330760.2290925156375
0.3844.76407520836900.236959637519337
0.3944.80871090865660.243443665899557
0.444.85437488830350.248892952838590
0.4144.90088908036070.253603729770445
0.4244.94811594118120.257745013355122
0.4344.99595553952080.261567890473200
0.4445.04433935671040.265041990983807
0.4545.09322396652940.268236126718615
0.4645.14258708267360.271159424857732
0.4745.1924269114210.273977681254113
0.4845.24276393517330.276708471476515
0.4945.29364283045020.27959083171554
0.545.34513164358180.282887567866226
0.5145.39731572457210.28674318949908
0.5245.45028504764230.291093651761525
0.5345.50411503403260.295913712262343
0.5445.55884244515540.300882773025836
0.5545.61443907538110.305594029885017
0.5645.67078675943090.309453591260095
0.5745.72765764096090.311808865626084
0.5845.78470373796610.312003783125373
0.5945.84145950369480.309274970754713
0.645.89736014539140.303184571993285
0.6145.95177676689090.293347854147262
0.6246.00406694852410.279758057856554
0.6346.05363645202250.262741764206737
0.6446.10000490655760.243021319329979
0.6546.14286631581450.221670576158429
0.6646.18213467462890.199983510784472
0.6746.21796624597630.179357906312432
0.6846.25075303726310.161245261761030
0.6946.28108622025560.146875601871028
0.746.30969288813230.137034080191775
0.7146.33735382220860.131913790506082
0.7246.36481319087370.131197637372354
0.7346.39269291258170.133674634726721
0.7446.42142459434310.137994885576019
0.7546.45121044566970.142686899765495
0.7646.48202134657620.146385288260002
0.7746.51363533617870.148158933995874
0.7846.54571334660710.147511531269593
0.7946.57790152992480.144512181103778
0.846.60994206257820.139799179997248
0.8146.64176862565430.134527568293963
0.8246.67356129056690.130119713499273
0.8346.70574098870820.127949130964593
0.8446.7388980955770.128813006827689
0.8546.77367268135950.132604240822939
0.8646.81063164086620.138275931013633
0.8746.8502116253260.144254043158111
0.8846.89280407367590.149389120640114
0.8946.93903536099590.153649672516094
0.946.99022633033970.159103042002382
0.9147.04888813516650.170151745771635
0.9247.11892753995330.192374413145229
0.9347.20505569248340.228803313183026
0.9447.31090877207810.27462497363765
0.9547.43591347922660.313977267190512
0.9647.57214325833220.322351260385350
0.9747.70374964874140.279106154568450
0.9847.81136207948530.187212620559911
0.9947.88065976482730.0848498939222094

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.1308048499325 & 0.00237996849013959 \tabularnewline
0.02 & 44.1325829405871 & 0.00457795693902279 \tabularnewline
0.03 & 44.1350706756764 & 0.00563735353164766 \tabularnewline
0.04 & 44.1379873900149 & 0.00674632830610554 \tabularnewline
0.05 & 44.1414113748521 & 0.00975986863380994 \tabularnewline
0.06 & 44.1457884292777 & 0.0152013390460207 \tabularnewline
0.07 & 44.1517000214654 & 0.0225322367951570 \tabularnewline
0.08 & 44.1596051914869 & 0.0310603030797817 \tabularnewline
0.09 & 44.1696751043506 & 0.0394945223014129 \tabularnewline
0.1 & 44.1817435286214 & 0.0467154929645378 \tabularnewline
0.11 & 44.1953525196509 & 0.051842126348075 \tabularnewline
0.12 & 44.2098602900706 & 0.054343175424961 \tabularnewline
0.13 & 44.2245758706602 & 0.0542930415731213 \tabularnewline
0.14 & 44.2388868658463 & 0.0520834750068146 \tabularnewline
0.15 & 44.2523537733305 & 0.0486069777961351 \tabularnewline
0.16 & 44.2647568302812 & 0.0448345912355017 \tabularnewline
0.17 & 44.2760956487297 & 0.0415883781399494 \tabularnewline
0.18 & 44.2865533502126 & 0.0396089001162624 \tabularnewline
0.19 & 44.2964423862308 & 0.0393848659924836 \tabularnewline
0.2 & 44.3061483926934 & 0.0411202860164657 \tabularnewline
0.21 & 44.3160832737599 & 0.0447367353898232 \tabularnewline
0.22 & 44.326652212712 & 0.0502546530870078 \tabularnewline
0.23 & 44.3382339918224 & 0.0574354693780983 \tabularnewline
0.24 & 44.3511711307597 & 0.0661116093754898 \tabularnewline
0.25 & 44.3657658481845 & 0.0762329885509817 \tabularnewline
0.26 & 44.3822787858116 & 0.0874764699336665 \tabularnewline
0.27 & 44.4009287068815 & 0.0997214766550736 \tabularnewline
0.28 & 44.4218922572295 & 0.112852669207849 \tabularnewline
0.29 & 44.4453032022101 & 0.126600219633961 \tabularnewline
0.3 & 44.4712506271531 & 0.140780221231817 \tabularnewline
0.31 & 44.4997758418923 & 0.155268296565625 \tabularnewline
0.32 & 44.5308683888136 & 0.169716806449367 \tabularnewline
0.33 & 44.5644624798465 & 0.183719201574891 \tabularnewline
0.34 & 44.600435942983 & 0.196954390840091 \tabularnewline
0.35 & 44.6386138528011 & 0.209125999410184 \tabularnewline
0.36 & 44.6787781957683 & 0.21986910573589 \tabularnewline
0.37 & 44.720683333076 & 0.2290925156375 \tabularnewline
0.38 & 44.7640752083690 & 0.236959637519337 \tabularnewline
0.39 & 44.8087109086566 & 0.243443665899557 \tabularnewline
0.4 & 44.8543748883035 & 0.248892952838590 \tabularnewline
0.41 & 44.9008890803607 & 0.253603729770445 \tabularnewline
0.42 & 44.9481159411812 & 0.257745013355122 \tabularnewline
0.43 & 44.9959555395208 & 0.261567890473200 \tabularnewline
0.44 & 45.0443393567104 & 0.265041990983807 \tabularnewline
0.45 & 45.0932239665294 & 0.268236126718615 \tabularnewline
0.46 & 45.1425870826736 & 0.271159424857732 \tabularnewline
0.47 & 45.192426911421 & 0.273977681254113 \tabularnewline
0.48 & 45.2427639351733 & 0.276708471476515 \tabularnewline
0.49 & 45.2936428304502 & 0.27959083171554 \tabularnewline
0.5 & 45.3451316435818 & 0.282887567866226 \tabularnewline
0.51 & 45.3973157245721 & 0.28674318949908 \tabularnewline
0.52 & 45.4502850476423 & 0.291093651761525 \tabularnewline
0.53 & 45.5041150340326 & 0.295913712262343 \tabularnewline
0.54 & 45.5588424451554 & 0.300882773025836 \tabularnewline
0.55 & 45.6144390753811 & 0.305594029885017 \tabularnewline
0.56 & 45.6707867594309 & 0.309453591260095 \tabularnewline
0.57 & 45.7276576409609 & 0.311808865626084 \tabularnewline
0.58 & 45.7847037379661 & 0.312003783125373 \tabularnewline
0.59 & 45.8414595036948 & 0.309274970754713 \tabularnewline
0.6 & 45.8973601453914 & 0.303184571993285 \tabularnewline
0.61 & 45.9517767668909 & 0.293347854147262 \tabularnewline
0.62 & 46.0040669485241 & 0.279758057856554 \tabularnewline
0.63 & 46.0536364520225 & 0.262741764206737 \tabularnewline
0.64 & 46.1000049065576 & 0.243021319329979 \tabularnewline
0.65 & 46.1428663158145 & 0.221670576158429 \tabularnewline
0.66 & 46.1821346746289 & 0.199983510784472 \tabularnewline
0.67 & 46.2179662459763 & 0.179357906312432 \tabularnewline
0.68 & 46.2507530372631 & 0.161245261761030 \tabularnewline
0.69 & 46.2810862202556 & 0.146875601871028 \tabularnewline
0.7 & 46.3096928881323 & 0.137034080191775 \tabularnewline
0.71 & 46.3373538222086 & 0.131913790506082 \tabularnewline
0.72 & 46.3648131908737 & 0.131197637372354 \tabularnewline
0.73 & 46.3926929125817 & 0.133674634726721 \tabularnewline
0.74 & 46.4214245943431 & 0.137994885576019 \tabularnewline
0.75 & 46.4512104456697 & 0.142686899765495 \tabularnewline
0.76 & 46.4820213465762 & 0.146385288260002 \tabularnewline
0.77 & 46.5136353361787 & 0.148158933995874 \tabularnewline
0.78 & 46.5457133466071 & 0.147511531269593 \tabularnewline
0.79 & 46.5779015299248 & 0.144512181103778 \tabularnewline
0.8 & 46.6099420625782 & 0.139799179997248 \tabularnewline
0.81 & 46.6417686256543 & 0.134527568293963 \tabularnewline
0.82 & 46.6735612905669 & 0.130119713499273 \tabularnewline
0.83 & 46.7057409887082 & 0.127949130964593 \tabularnewline
0.84 & 46.738898095577 & 0.128813006827689 \tabularnewline
0.85 & 46.7736726813595 & 0.132604240822939 \tabularnewline
0.86 & 46.8106316408662 & 0.138275931013633 \tabularnewline
0.87 & 46.850211625326 & 0.144254043158111 \tabularnewline
0.88 & 46.8928040736759 & 0.149389120640114 \tabularnewline
0.89 & 46.9390353609959 & 0.153649672516094 \tabularnewline
0.9 & 46.9902263303397 & 0.159103042002382 \tabularnewline
0.91 & 47.0488881351665 & 0.170151745771635 \tabularnewline
0.92 & 47.1189275399533 & 0.192374413145229 \tabularnewline
0.93 & 47.2050556924834 & 0.228803313183026 \tabularnewline
0.94 & 47.3109087720781 & 0.27462497363765 \tabularnewline
0.95 & 47.4359134792266 & 0.313977267190512 \tabularnewline
0.96 & 47.5721432583322 & 0.322351260385350 \tabularnewline
0.97 & 47.7037496487414 & 0.279106154568450 \tabularnewline
0.98 & 47.8113620794853 & 0.187212620559911 \tabularnewline
0.99 & 47.8806597648273 & 0.0848498939222094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9636&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]44.1308048499325[/C][C]0.00237996849013959[/C][/ROW]
[ROW][C]0.02[/C][C]44.1325829405871[/C][C]0.00457795693902279[/C][/ROW]
[ROW][C]0.03[/C][C]44.1350706756764[/C][C]0.00563735353164766[/C][/ROW]
[ROW][C]0.04[/C][C]44.1379873900149[/C][C]0.00674632830610554[/C][/ROW]
[ROW][C]0.05[/C][C]44.1414113748521[/C][C]0.00975986863380994[/C][/ROW]
[ROW][C]0.06[/C][C]44.1457884292777[/C][C]0.0152013390460207[/C][/ROW]
[ROW][C]0.07[/C][C]44.1517000214654[/C][C]0.0225322367951570[/C][/ROW]
[ROW][C]0.08[/C][C]44.1596051914869[/C][C]0.0310603030797817[/C][/ROW]
[ROW][C]0.09[/C][C]44.1696751043506[/C][C]0.0394945223014129[/C][/ROW]
[ROW][C]0.1[/C][C]44.1817435286214[/C][C]0.0467154929645378[/C][/ROW]
[ROW][C]0.11[/C][C]44.1953525196509[/C][C]0.051842126348075[/C][/ROW]
[ROW][C]0.12[/C][C]44.2098602900706[/C][C]0.054343175424961[/C][/ROW]
[ROW][C]0.13[/C][C]44.2245758706602[/C][C]0.0542930415731213[/C][/ROW]
[ROW][C]0.14[/C][C]44.2388868658463[/C][C]0.0520834750068146[/C][/ROW]
[ROW][C]0.15[/C][C]44.2523537733305[/C][C]0.0486069777961351[/C][/ROW]
[ROW][C]0.16[/C][C]44.2647568302812[/C][C]0.0448345912355017[/C][/ROW]
[ROW][C]0.17[/C][C]44.2760956487297[/C][C]0.0415883781399494[/C][/ROW]
[ROW][C]0.18[/C][C]44.2865533502126[/C][C]0.0396089001162624[/C][/ROW]
[ROW][C]0.19[/C][C]44.2964423862308[/C][C]0.0393848659924836[/C][/ROW]
[ROW][C]0.2[/C][C]44.3061483926934[/C][C]0.0411202860164657[/C][/ROW]
[ROW][C]0.21[/C][C]44.3160832737599[/C][C]0.0447367353898232[/C][/ROW]
[ROW][C]0.22[/C][C]44.326652212712[/C][C]0.0502546530870078[/C][/ROW]
[ROW][C]0.23[/C][C]44.3382339918224[/C][C]0.0574354693780983[/C][/ROW]
[ROW][C]0.24[/C][C]44.3511711307597[/C][C]0.0661116093754898[/C][/ROW]
[ROW][C]0.25[/C][C]44.3657658481845[/C][C]0.0762329885509817[/C][/ROW]
[ROW][C]0.26[/C][C]44.3822787858116[/C][C]0.0874764699336665[/C][/ROW]
[ROW][C]0.27[/C][C]44.4009287068815[/C][C]0.0997214766550736[/C][/ROW]
[ROW][C]0.28[/C][C]44.4218922572295[/C][C]0.112852669207849[/C][/ROW]
[ROW][C]0.29[/C][C]44.4453032022101[/C][C]0.126600219633961[/C][/ROW]
[ROW][C]0.3[/C][C]44.4712506271531[/C][C]0.140780221231817[/C][/ROW]
[ROW][C]0.31[/C][C]44.4997758418923[/C][C]0.155268296565625[/C][/ROW]
[ROW][C]0.32[/C][C]44.5308683888136[/C][C]0.169716806449367[/C][/ROW]
[ROW][C]0.33[/C][C]44.5644624798465[/C][C]0.183719201574891[/C][/ROW]
[ROW][C]0.34[/C][C]44.600435942983[/C][C]0.196954390840091[/C][/ROW]
[ROW][C]0.35[/C][C]44.6386138528011[/C][C]0.209125999410184[/C][/ROW]
[ROW][C]0.36[/C][C]44.6787781957683[/C][C]0.21986910573589[/C][/ROW]
[ROW][C]0.37[/C][C]44.720683333076[/C][C]0.2290925156375[/C][/ROW]
[ROW][C]0.38[/C][C]44.7640752083690[/C][C]0.236959637519337[/C][/ROW]
[ROW][C]0.39[/C][C]44.8087109086566[/C][C]0.243443665899557[/C][/ROW]
[ROW][C]0.4[/C][C]44.8543748883035[/C][C]0.248892952838590[/C][/ROW]
[ROW][C]0.41[/C][C]44.9008890803607[/C][C]0.253603729770445[/C][/ROW]
[ROW][C]0.42[/C][C]44.9481159411812[/C][C]0.257745013355122[/C][/ROW]
[ROW][C]0.43[/C][C]44.9959555395208[/C][C]0.261567890473200[/C][/ROW]
[ROW][C]0.44[/C][C]45.0443393567104[/C][C]0.265041990983807[/C][/ROW]
[ROW][C]0.45[/C][C]45.0932239665294[/C][C]0.268236126718615[/C][/ROW]
[ROW][C]0.46[/C][C]45.1425870826736[/C][C]0.271159424857732[/C][/ROW]
[ROW][C]0.47[/C][C]45.192426911421[/C][C]0.273977681254113[/C][/ROW]
[ROW][C]0.48[/C][C]45.2427639351733[/C][C]0.276708471476515[/C][/ROW]
[ROW][C]0.49[/C][C]45.2936428304502[/C][C]0.27959083171554[/C][/ROW]
[ROW][C]0.5[/C][C]45.3451316435818[/C][C]0.282887567866226[/C][/ROW]
[ROW][C]0.51[/C][C]45.3973157245721[/C][C]0.28674318949908[/C][/ROW]
[ROW][C]0.52[/C][C]45.4502850476423[/C][C]0.291093651761525[/C][/ROW]
[ROW][C]0.53[/C][C]45.5041150340326[/C][C]0.295913712262343[/C][/ROW]
[ROW][C]0.54[/C][C]45.5588424451554[/C][C]0.300882773025836[/C][/ROW]
[ROW][C]0.55[/C][C]45.6144390753811[/C][C]0.305594029885017[/C][/ROW]
[ROW][C]0.56[/C][C]45.6707867594309[/C][C]0.309453591260095[/C][/ROW]
[ROW][C]0.57[/C][C]45.7276576409609[/C][C]0.311808865626084[/C][/ROW]
[ROW][C]0.58[/C][C]45.7847037379661[/C][C]0.312003783125373[/C][/ROW]
[ROW][C]0.59[/C][C]45.8414595036948[/C][C]0.309274970754713[/C][/ROW]
[ROW][C]0.6[/C][C]45.8973601453914[/C][C]0.303184571993285[/C][/ROW]
[ROW][C]0.61[/C][C]45.9517767668909[/C][C]0.293347854147262[/C][/ROW]
[ROW][C]0.62[/C][C]46.0040669485241[/C][C]0.279758057856554[/C][/ROW]
[ROW][C]0.63[/C][C]46.0536364520225[/C][C]0.262741764206737[/C][/ROW]
[ROW][C]0.64[/C][C]46.1000049065576[/C][C]0.243021319329979[/C][/ROW]
[ROW][C]0.65[/C][C]46.1428663158145[/C][C]0.221670576158429[/C][/ROW]
[ROW][C]0.66[/C][C]46.1821346746289[/C][C]0.199983510784472[/C][/ROW]
[ROW][C]0.67[/C][C]46.2179662459763[/C][C]0.179357906312432[/C][/ROW]
[ROW][C]0.68[/C][C]46.2507530372631[/C][C]0.161245261761030[/C][/ROW]
[ROW][C]0.69[/C][C]46.2810862202556[/C][C]0.146875601871028[/C][/ROW]
[ROW][C]0.7[/C][C]46.3096928881323[/C][C]0.137034080191775[/C][/ROW]
[ROW][C]0.71[/C][C]46.3373538222086[/C][C]0.131913790506082[/C][/ROW]
[ROW][C]0.72[/C][C]46.3648131908737[/C][C]0.131197637372354[/C][/ROW]
[ROW][C]0.73[/C][C]46.3926929125817[/C][C]0.133674634726721[/C][/ROW]
[ROW][C]0.74[/C][C]46.4214245943431[/C][C]0.137994885576019[/C][/ROW]
[ROW][C]0.75[/C][C]46.4512104456697[/C][C]0.142686899765495[/C][/ROW]
[ROW][C]0.76[/C][C]46.4820213465762[/C][C]0.146385288260002[/C][/ROW]
[ROW][C]0.77[/C][C]46.5136353361787[/C][C]0.148158933995874[/C][/ROW]
[ROW][C]0.78[/C][C]46.5457133466071[/C][C]0.147511531269593[/C][/ROW]
[ROW][C]0.79[/C][C]46.5779015299248[/C][C]0.144512181103778[/C][/ROW]
[ROW][C]0.8[/C][C]46.6099420625782[/C][C]0.139799179997248[/C][/ROW]
[ROW][C]0.81[/C][C]46.6417686256543[/C][C]0.134527568293963[/C][/ROW]
[ROW][C]0.82[/C][C]46.6735612905669[/C][C]0.130119713499273[/C][/ROW]
[ROW][C]0.83[/C][C]46.7057409887082[/C][C]0.127949130964593[/C][/ROW]
[ROW][C]0.84[/C][C]46.738898095577[/C][C]0.128813006827689[/C][/ROW]
[ROW][C]0.85[/C][C]46.7736726813595[/C][C]0.132604240822939[/C][/ROW]
[ROW][C]0.86[/C][C]46.8106316408662[/C][C]0.138275931013633[/C][/ROW]
[ROW][C]0.87[/C][C]46.850211625326[/C][C]0.144254043158111[/C][/ROW]
[ROW][C]0.88[/C][C]46.8928040736759[/C][C]0.149389120640114[/C][/ROW]
[ROW][C]0.89[/C][C]46.9390353609959[/C][C]0.153649672516094[/C][/ROW]
[ROW][C]0.9[/C][C]46.9902263303397[/C][C]0.159103042002382[/C][/ROW]
[ROW][C]0.91[/C][C]47.0488881351665[/C][C]0.170151745771635[/C][/ROW]
[ROW][C]0.92[/C][C]47.1189275399533[/C][C]0.192374413145229[/C][/ROW]
[ROW][C]0.93[/C][C]47.2050556924834[/C][C]0.228803313183026[/C][/ROW]
[ROW][C]0.94[/C][C]47.3109087720781[/C][C]0.27462497363765[/C][/ROW]
[ROW][C]0.95[/C][C]47.4359134792266[/C][C]0.313977267190512[/C][/ROW]
[ROW][C]0.96[/C][C]47.5721432583322[/C][C]0.322351260385350[/C][/ROW]
[ROW][C]0.97[/C][C]47.7037496487414[/C][C]0.279106154568450[/C][/ROW]
[ROW][C]0.98[/C][C]47.8113620794853[/C][C]0.187212620559911[/C][/ROW]
[ROW][C]0.99[/C][C]47.8806597648273[/C][C]0.0848498939222094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9636&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
0.0144.13080484993250.00237996849013959
0.0244.13258294058710.00457795693902279
0.0344.13507067567640.00563735353164766
0.0444.13798739001490.00674632830610554
0.0544.14141137485210.00975986863380994
0.0644.14578842927770.0152013390460207
0.0744.15170002146540.0225322367951570
0.0844.15960519148690.0310603030797817
0.0944.16967510435060.0394945223014129
0.144.18174352862140.0467154929645378
0.1144.19535251965090.051842126348075
0.1244.20986029007060.054343175424961
0.1344.22457587066020.0542930415731213
0.1444.23888686584630.0520834750068146
0.1544.25235377333050.0486069777961351
0.1644.26475683028120.0448345912355017
0.1744.27609564872970.0415883781399494
0.1844.28655335021260.0396089001162624
0.1944.29644238623080.0393848659924836
0.244.30614839269340.0411202860164657
0.2144.31608327375990.0447367353898232
0.2244.3266522127120.0502546530870078
0.2344.33823399182240.0574354693780983
0.2444.35117113075970.0661116093754898
0.2544.36576584818450.0762329885509817
0.2644.38227878581160.0874764699336665
0.2744.40092870688150.0997214766550736
0.2844.42189225722950.112852669207849
0.2944.44530320221010.126600219633961
0.344.47125062715310.140780221231817
0.3144.49977584189230.155268296565625
0.3244.53086838881360.169716806449367
0.3344.56446247984650.183719201574891
0.3444.6004359429830.196954390840091
0.3544.63861385280110.209125999410184
0.3644.67877819576830.21986910573589
0.3744.7206833330760.2290925156375
0.3844.76407520836900.236959637519337
0.3944.80871090865660.243443665899557
0.444.85437488830350.248892952838590
0.4144.90088908036070.253603729770445
0.4244.94811594118120.257745013355122
0.4344.99595553952080.261567890473200
0.4445.04433935671040.265041990983807
0.4545.09322396652940.268236126718615
0.4645.14258708267360.271159424857732
0.4745.1924269114210.273977681254113
0.4845.24276393517330.276708471476515
0.4945.29364283045020.27959083171554
0.545.34513164358180.282887567866226
0.5145.39731572457210.28674318949908
0.5245.45028504764230.291093651761525
0.5345.50411503403260.295913712262343
0.5445.55884244515540.300882773025836
0.5545.61443907538110.305594029885017
0.5645.67078675943090.309453591260095
0.5745.72765764096090.311808865626084
0.5845.78470373796610.312003783125373
0.5945.84145950369480.309274970754713
0.645.89736014539140.303184571993285
0.6145.95177676689090.293347854147262
0.6246.00406694852410.279758057856554
0.6346.05363645202250.262741764206737
0.6446.10000490655760.243021319329979
0.6546.14286631581450.221670576158429
0.6646.18213467462890.199983510784472
0.6746.21796624597630.179357906312432
0.6846.25075303726310.161245261761030
0.6946.28108622025560.146875601871028
0.746.30969288813230.137034080191775
0.7146.33735382220860.131913790506082
0.7246.36481319087370.131197637372354
0.7346.39269291258170.133674634726721
0.7446.42142459434310.137994885576019
0.7546.45121044566970.142686899765495
0.7646.48202134657620.146385288260002
0.7746.51363533617870.148158933995874
0.7846.54571334660710.147511531269593
0.7946.57790152992480.144512181103778
0.846.60994206257820.139799179997248
0.8146.64176862565430.134527568293963
0.8246.67356129056690.130119713499273
0.8346.70574098870820.127949130964593
0.8446.7388980955770.128813006827689
0.8546.77367268135950.132604240822939
0.8646.81063164086620.138275931013633
0.8746.8502116253260.144254043158111
0.8846.89280407367590.149389120640114
0.8946.93903536099590.153649672516094
0.946.99022633033970.159103042002382
0.9147.04888813516650.170151745771635
0.9247.11892753995330.192374413145229
0.9347.20505569248340.228803313183026
0.9447.31090877207810.27462497363765
0.9547.43591347922660.313977267190512
0.9647.57214325833220.322351260385350
0.9747.70374964874140.279106154568450
0.9847.81136207948530.187212620559911
0.9947.88065976482730.0848498939222094


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')