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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, 12 Oct 2011 15:17:25 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318447104oypfnl0vhgzl2nf.htm/, Retrieved Fri, 03 May 2024 07:57:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128530, Retrieved Fri, 03 May 2024 07:57:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact111

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] [Gemiddelde prijs ...] [2011-10-12 19:17:25] [9b00bb73e1719a6b710100764835da33] [Current]
- R PD    [Harrell-Davis Quantiles] [Evolutie gemiddel...] [2011-11-24 10:08:00] [d77983d148924dc1ee6862ddcf1c37db]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10,93
10,92
10,89
10,94
10,98
10,99
11,02
11,04
11,05
11,05
11,02
10,91
11,01
11,02
11,03
11,04
11,06
11,08
11,06
11,06
11,09
11,07
11,06
11,08
11,08
11,08
11,11
11,09
11,08
11,05
11,07
11,06
11,06
11,07
11,02
11,01
11,04
11,02
11,03
11,17
11,19
11,15
11,13
11,06
11,01
11,03
10,99
10,94
11
11,06
11,06
11,05
11,04
11,15
11,2
11,16
11,3
11,23
11,25
11,25
11,12
11,14
11,17
11,25
11,27
11,34
11,39
11,44
11,46
11,49
11,51
11,48
11,49
11,52
11,56
11,58
11,58
11,58
11,6
11,62
11,62
11,64
11,67
11,66
11,72
11,82
11,9
12,04
12,08
12,15
12,19
12,22
12,23
12,25
12,26
12,27
12,34
12,38
12,42
12,43
12,48
12,5
12,5
12,49
12,46
12,45
12,45
12,38
12,42
12,37
12,35
12,35
12,36
12,32
12,32
12,34
12,35
12,34
12,31
12,24

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128530&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128530&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128530&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.90205887978980.0160490643683592
0.0210.91748915610720.0157723711352748
0.0310.93156465235860.01956871532858
0.0410.94553469509810.0241694876408984
0.0510.95981149296120.0264551230045599
0.0610.97345625398370.0252589540086454
0.0710.98535554988820.0217499499214437
0.0810.99499033500060.0177452748961742
0.0911.00248535152460.0143615973176681
0.111.00829067174190.0118536403162582
0.1111.01289968367570.0101790981818804
0.1211.01673037319180.00923181993507503
0.1311.02010716629340.00890562898335383
0.1411.02326730353430.00905847826516555
0.1511.02636509547420.00945318402026741
0.1611.02947804295790.00988524857393472
0.1711.03262152669510.0102081128169996
0.1811.03577064260570.0103594261669363
0.1911.03888211808250.0103304294528226
0.211.04190998924990.010134518985461
0.2111.04481341212520.00980783994183139
0.2211.04755937021190.00936209135790061
0.2311.05012446813410.00881968443433257
0.2411.05249845751210.00822600443149868
0.2511.05468934639250.0076837044152047
0.2611.05672781785210.00729119244689308
0.2711.05866830869540.00713608225186532
0.2811.06058543704830.00735906958606811
0.2911.06256662839880.00795397235571781
0.311.06470357065820.00892171521473626
0.3111.06708559672990.010228973139197
0.3211.06979700748630.0118598073216228
0.3311.07291825992610.0138087371145114
0.3411.07652891944460.0161119097183406
0.3511.08070936017020.0187879188501279
0.3611.08553889784850.0218115161079144
0.3711.0910900540380.0251541136530269
0.3811.09742100797950.0287034726112151
0.3911.10456982813090.0323557173553469
0.411.11255400343680.0359914183328701
0.4111.12137709248770.0396255166006674
0.4211.13104171253590.0432288197924522
0.4311.1415657052230.0469790620816882
0.4411.15299705753030.0510190502818898
0.4511.16542332938980.0555672473420072
0.4611.17897258426790.0607717952004056
0.4711.19380444240560.066769543349382
0.4811.21009134095270.0735542548303914
0.4911.22799133011670.0809950062462896
0.511.24761509643550.088802524638517
0.5111.26899167812780.0965484201559491
0.5211.292039286150.103621642047451
0.5311.31654885735990.109466057591253
0.5411.34218726967220.113508022203539
0.5511.36852389650790.115392249459268
0.5611.39507891902790.114966933027213
0.5711.42138632960750.11249169276372
0.5811.44706108850870.108434588856391
0.5911.47185991870920.103567296058976
0.611.4957285079060.098754846157067
0.6111.51883242661260.0949956395929189
0.6211.54157207683340.093343714203729
0.6311.56458144931050.0947789485572467
0.6411.58870648775830.100188057353655
0.6511.61495398582260.110135358325822
0.6611.64440025762140.124663622171091
0.6711.67805403281510.143096075249926
0.6811.71668130189410.163916879717378
0.6911.7606183281540.184970920434347
0.711.80961596355150.203564149957972
0.7111.86276512719150.217012818858854
0.7211.91854308283540.223066329412375
0.7311.97499207590860.220552815244604
0.7412.03000299628320.209537574578642
0.7512.08164057461840.19144693298784
0.7612.12842817687530.168622694961218
0.7712.16951912714020.143903124284543
0.7812.20471663738750.11983618015331
0.7912.23435349397630.0983081864454951
0.812.25908663697570.0801937960013995
0.8112.2796832706070.0654859964278291
0.8212.29686636823590.0536434823368496
0.8312.31125389904050.04401786818353
0.8412.32338386316870.0361782315720093
0.8512.33378476851510.0301026894149864
0.8612.3430402543710.0259914273141345
0.8712.35180717788180.0240922518073214
0.8812.36076928296510.0243206455962221
0.8912.37053306682610.0261537940120162
0.912.38149458656090.0286204771908309
0.9112.39372722860170.0306304430255403
0.9212.40695733447120.031228906023087
0.9312.42068791772090.0300230229144115
0.9412.43446770785510.0274816042160079
0.9512.44816177912120.0247100337733284
0.9612.46192633958780.0225317786643458
0.9712.47565326120260.0200670390504907
0.9812.48812197219810.0152305528244114
0.9912.49682262090410.00723820179945473

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.9020588797898 & 0.0160490643683592 \tabularnewline
0.02 & 10.9174891561072 & 0.0157723711352748 \tabularnewline
0.03 & 10.9315646523586 & 0.01956871532858 \tabularnewline
0.04 & 10.9455346950981 & 0.0241694876408984 \tabularnewline
0.05 & 10.9598114929612 & 0.0264551230045599 \tabularnewline
0.06 & 10.9734562539837 & 0.0252589540086454 \tabularnewline
0.07 & 10.9853555498882 & 0.0217499499214437 \tabularnewline
0.08 & 10.9949903350006 & 0.0177452748961742 \tabularnewline
0.09 & 11.0024853515246 & 0.0143615973176681 \tabularnewline
0.1 & 11.0082906717419 & 0.0118536403162582 \tabularnewline
0.11 & 11.0128996836757 & 0.0101790981818804 \tabularnewline
0.12 & 11.0167303731918 & 0.00923181993507503 \tabularnewline
0.13 & 11.0201071662934 & 0.00890562898335383 \tabularnewline
0.14 & 11.0232673035343 & 0.00905847826516555 \tabularnewline
0.15 & 11.0263650954742 & 0.00945318402026741 \tabularnewline
0.16 & 11.0294780429579 & 0.00988524857393472 \tabularnewline
0.17 & 11.0326215266951 & 0.0102081128169996 \tabularnewline
0.18 & 11.0357706426057 & 0.0103594261669363 \tabularnewline
0.19 & 11.0388821180825 & 0.0103304294528226 \tabularnewline
0.2 & 11.0419099892499 & 0.010134518985461 \tabularnewline
0.21 & 11.0448134121252 & 0.00980783994183139 \tabularnewline
0.22 & 11.0475593702119 & 0.00936209135790061 \tabularnewline
0.23 & 11.0501244681341 & 0.00881968443433257 \tabularnewline
0.24 & 11.0524984575121 & 0.00822600443149868 \tabularnewline
0.25 & 11.0546893463925 & 0.0076837044152047 \tabularnewline
0.26 & 11.0567278178521 & 0.00729119244689308 \tabularnewline
0.27 & 11.0586683086954 & 0.00713608225186532 \tabularnewline
0.28 & 11.0605854370483 & 0.00735906958606811 \tabularnewline
0.29 & 11.0625666283988 & 0.00795397235571781 \tabularnewline
0.3 & 11.0647035706582 & 0.00892171521473626 \tabularnewline
0.31 & 11.0670855967299 & 0.010228973139197 \tabularnewline
0.32 & 11.0697970074863 & 0.0118598073216228 \tabularnewline
0.33 & 11.0729182599261 & 0.0138087371145114 \tabularnewline
0.34 & 11.0765289194446 & 0.0161119097183406 \tabularnewline
0.35 & 11.0807093601702 & 0.0187879188501279 \tabularnewline
0.36 & 11.0855388978485 & 0.0218115161079144 \tabularnewline
0.37 & 11.091090054038 & 0.0251541136530269 \tabularnewline
0.38 & 11.0974210079795 & 0.0287034726112151 \tabularnewline
0.39 & 11.1045698281309 & 0.0323557173553469 \tabularnewline
0.4 & 11.1125540034368 & 0.0359914183328701 \tabularnewline
0.41 & 11.1213770924877 & 0.0396255166006674 \tabularnewline
0.42 & 11.1310417125359 & 0.0432288197924522 \tabularnewline
0.43 & 11.141565705223 & 0.0469790620816882 \tabularnewline
0.44 & 11.1529970575303 & 0.0510190502818898 \tabularnewline
0.45 & 11.1654233293898 & 0.0555672473420072 \tabularnewline
0.46 & 11.1789725842679 & 0.0607717952004056 \tabularnewline
0.47 & 11.1938044424056 & 0.066769543349382 \tabularnewline
0.48 & 11.2100913409527 & 0.0735542548303914 \tabularnewline
0.49 & 11.2279913301167 & 0.0809950062462896 \tabularnewline
0.5 & 11.2476150964355 & 0.088802524638517 \tabularnewline
0.51 & 11.2689916781278 & 0.0965484201559491 \tabularnewline
0.52 & 11.29203928615 & 0.103621642047451 \tabularnewline
0.53 & 11.3165488573599 & 0.109466057591253 \tabularnewline
0.54 & 11.3421872696722 & 0.113508022203539 \tabularnewline
0.55 & 11.3685238965079 & 0.115392249459268 \tabularnewline
0.56 & 11.3950789190279 & 0.114966933027213 \tabularnewline
0.57 & 11.4213863296075 & 0.11249169276372 \tabularnewline
0.58 & 11.4470610885087 & 0.108434588856391 \tabularnewline
0.59 & 11.4718599187092 & 0.103567296058976 \tabularnewline
0.6 & 11.495728507906 & 0.098754846157067 \tabularnewline
0.61 & 11.5188324266126 & 0.0949956395929189 \tabularnewline
0.62 & 11.5415720768334 & 0.093343714203729 \tabularnewline
0.63 & 11.5645814493105 & 0.0947789485572467 \tabularnewline
0.64 & 11.5887064877583 & 0.100188057353655 \tabularnewline
0.65 & 11.6149539858226 & 0.110135358325822 \tabularnewline
0.66 & 11.6444002576214 & 0.124663622171091 \tabularnewline
0.67 & 11.6780540328151 & 0.143096075249926 \tabularnewline
0.68 & 11.7166813018941 & 0.163916879717378 \tabularnewline
0.69 & 11.760618328154 & 0.184970920434347 \tabularnewline
0.7 & 11.8096159635515 & 0.203564149957972 \tabularnewline
0.71 & 11.8627651271915 & 0.217012818858854 \tabularnewline
0.72 & 11.9185430828354 & 0.223066329412375 \tabularnewline
0.73 & 11.9749920759086 & 0.220552815244604 \tabularnewline
0.74 & 12.0300029962832 & 0.209537574578642 \tabularnewline
0.75 & 12.0816405746184 & 0.19144693298784 \tabularnewline
0.76 & 12.1284281768753 & 0.168622694961218 \tabularnewline
0.77 & 12.1695191271402 & 0.143903124284543 \tabularnewline
0.78 & 12.2047166373875 & 0.11983618015331 \tabularnewline
0.79 & 12.2343534939763 & 0.0983081864454951 \tabularnewline
0.8 & 12.2590866369757 & 0.0801937960013995 \tabularnewline
0.81 & 12.279683270607 & 0.0654859964278291 \tabularnewline
0.82 & 12.2968663682359 & 0.0536434823368496 \tabularnewline
0.83 & 12.3112538990405 & 0.04401786818353 \tabularnewline
0.84 & 12.3233838631687 & 0.0361782315720093 \tabularnewline
0.85 & 12.3337847685151 & 0.0301026894149864 \tabularnewline
0.86 & 12.343040254371 & 0.0259914273141345 \tabularnewline
0.87 & 12.3518071778818 & 0.0240922518073214 \tabularnewline
0.88 & 12.3607692829651 & 0.0243206455962221 \tabularnewline
0.89 & 12.3705330668261 & 0.0261537940120162 \tabularnewline
0.9 & 12.3814945865609 & 0.0286204771908309 \tabularnewline
0.91 & 12.3937272286017 & 0.0306304430255403 \tabularnewline
0.92 & 12.4069573344712 & 0.031228906023087 \tabularnewline
0.93 & 12.4206879177209 & 0.0300230229144115 \tabularnewline
0.94 & 12.4344677078551 & 0.0274816042160079 \tabularnewline
0.95 & 12.4481617791212 & 0.0247100337733284 \tabularnewline
0.96 & 12.4619263395878 & 0.0225317786643458 \tabularnewline
0.97 & 12.4756532612026 & 0.0200670390504907 \tabularnewline
0.98 & 12.4881219721981 & 0.0152305528244114 \tabularnewline
0.99 & 12.4968226209041 & 0.00723820179945473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128530&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]10.9020588797898[/C][C]0.0160490643683592[/C][/ROW]
[ROW][C]0.02[/C][C]10.9174891561072[/C][C]0.0157723711352748[/C][/ROW]
[ROW][C]0.03[/C][C]10.9315646523586[/C][C]0.01956871532858[/C][/ROW]
[ROW][C]0.04[/C][C]10.9455346950981[/C][C]0.0241694876408984[/C][/ROW]
[ROW][C]0.05[/C][C]10.9598114929612[/C][C]0.0264551230045599[/C][/ROW]
[ROW][C]0.06[/C][C]10.9734562539837[/C][C]0.0252589540086454[/C][/ROW]
[ROW][C]0.07[/C][C]10.9853555498882[/C][C]0.0217499499214437[/C][/ROW]
[ROW][C]0.08[/C][C]10.9949903350006[/C][C]0.0177452748961742[/C][/ROW]
[ROW][C]0.09[/C][C]11.0024853515246[/C][C]0.0143615973176681[/C][/ROW]
[ROW][C]0.1[/C][C]11.0082906717419[/C][C]0.0118536403162582[/C][/ROW]
[ROW][C]0.11[/C][C]11.0128996836757[/C][C]0.0101790981818804[/C][/ROW]
[ROW][C]0.12[/C][C]11.0167303731918[/C][C]0.00923181993507503[/C][/ROW]
[ROW][C]0.13[/C][C]11.0201071662934[/C][C]0.00890562898335383[/C][/ROW]
[ROW][C]0.14[/C][C]11.0232673035343[/C][C]0.00905847826516555[/C][/ROW]
[ROW][C]0.15[/C][C]11.0263650954742[/C][C]0.00945318402026741[/C][/ROW]
[ROW][C]0.16[/C][C]11.0294780429579[/C][C]0.00988524857393472[/C][/ROW]
[ROW][C]0.17[/C][C]11.0326215266951[/C][C]0.0102081128169996[/C][/ROW]
[ROW][C]0.18[/C][C]11.0357706426057[/C][C]0.0103594261669363[/C][/ROW]
[ROW][C]0.19[/C][C]11.0388821180825[/C][C]0.0103304294528226[/C][/ROW]
[ROW][C]0.2[/C][C]11.0419099892499[/C][C]0.010134518985461[/C][/ROW]
[ROW][C]0.21[/C][C]11.0448134121252[/C][C]0.00980783994183139[/C][/ROW]
[ROW][C]0.22[/C][C]11.0475593702119[/C][C]0.00936209135790061[/C][/ROW]
[ROW][C]0.23[/C][C]11.0501244681341[/C][C]0.00881968443433257[/C][/ROW]
[ROW][C]0.24[/C][C]11.0524984575121[/C][C]0.00822600443149868[/C][/ROW]
[ROW][C]0.25[/C][C]11.0546893463925[/C][C]0.0076837044152047[/C][/ROW]
[ROW][C]0.26[/C][C]11.0567278178521[/C][C]0.00729119244689308[/C][/ROW]
[ROW][C]0.27[/C][C]11.0586683086954[/C][C]0.00713608225186532[/C][/ROW]
[ROW][C]0.28[/C][C]11.0605854370483[/C][C]0.00735906958606811[/C][/ROW]
[ROW][C]0.29[/C][C]11.0625666283988[/C][C]0.00795397235571781[/C][/ROW]
[ROW][C]0.3[/C][C]11.0647035706582[/C][C]0.00892171521473626[/C][/ROW]
[ROW][C]0.31[/C][C]11.0670855967299[/C][C]0.010228973139197[/C][/ROW]
[ROW][C]0.32[/C][C]11.0697970074863[/C][C]0.0118598073216228[/C][/ROW]
[ROW][C]0.33[/C][C]11.0729182599261[/C][C]0.0138087371145114[/C][/ROW]
[ROW][C]0.34[/C][C]11.0765289194446[/C][C]0.0161119097183406[/C][/ROW]
[ROW][C]0.35[/C][C]11.0807093601702[/C][C]0.0187879188501279[/C][/ROW]
[ROW][C]0.36[/C][C]11.0855388978485[/C][C]0.0218115161079144[/C][/ROW]
[ROW][C]0.37[/C][C]11.091090054038[/C][C]0.0251541136530269[/C][/ROW]
[ROW][C]0.38[/C][C]11.0974210079795[/C][C]0.0287034726112151[/C][/ROW]
[ROW][C]0.39[/C][C]11.1045698281309[/C][C]0.0323557173553469[/C][/ROW]
[ROW][C]0.4[/C][C]11.1125540034368[/C][C]0.0359914183328701[/C][/ROW]
[ROW][C]0.41[/C][C]11.1213770924877[/C][C]0.0396255166006674[/C][/ROW]
[ROW][C]0.42[/C][C]11.1310417125359[/C][C]0.0432288197924522[/C][/ROW]
[ROW][C]0.43[/C][C]11.141565705223[/C][C]0.0469790620816882[/C][/ROW]
[ROW][C]0.44[/C][C]11.1529970575303[/C][C]0.0510190502818898[/C][/ROW]
[ROW][C]0.45[/C][C]11.1654233293898[/C][C]0.0555672473420072[/C][/ROW]
[ROW][C]0.46[/C][C]11.1789725842679[/C][C]0.0607717952004056[/C][/ROW]
[ROW][C]0.47[/C][C]11.1938044424056[/C][C]0.066769543349382[/C][/ROW]
[ROW][C]0.48[/C][C]11.2100913409527[/C][C]0.0735542548303914[/C][/ROW]
[ROW][C]0.49[/C][C]11.2279913301167[/C][C]0.0809950062462896[/C][/ROW]
[ROW][C]0.5[/C][C]11.2476150964355[/C][C]0.088802524638517[/C][/ROW]
[ROW][C]0.51[/C][C]11.2689916781278[/C][C]0.0965484201559491[/C][/ROW]
[ROW][C]0.52[/C][C]11.29203928615[/C][C]0.103621642047451[/C][/ROW]
[ROW][C]0.53[/C][C]11.3165488573599[/C][C]0.109466057591253[/C][/ROW]
[ROW][C]0.54[/C][C]11.3421872696722[/C][C]0.113508022203539[/C][/ROW]
[ROW][C]0.55[/C][C]11.3685238965079[/C][C]0.115392249459268[/C][/ROW]
[ROW][C]0.56[/C][C]11.3950789190279[/C][C]0.114966933027213[/C][/ROW]
[ROW][C]0.57[/C][C]11.4213863296075[/C][C]0.11249169276372[/C][/ROW]
[ROW][C]0.58[/C][C]11.4470610885087[/C][C]0.108434588856391[/C][/ROW]
[ROW][C]0.59[/C][C]11.4718599187092[/C][C]0.103567296058976[/C][/ROW]
[ROW][C]0.6[/C][C]11.495728507906[/C][C]0.098754846157067[/C][/ROW]
[ROW][C]0.61[/C][C]11.5188324266126[/C][C]0.0949956395929189[/C][/ROW]
[ROW][C]0.62[/C][C]11.5415720768334[/C][C]0.093343714203729[/C][/ROW]
[ROW][C]0.63[/C][C]11.5645814493105[/C][C]0.0947789485572467[/C][/ROW]
[ROW][C]0.64[/C][C]11.5887064877583[/C][C]0.100188057353655[/C][/ROW]
[ROW][C]0.65[/C][C]11.6149539858226[/C][C]0.110135358325822[/C][/ROW]
[ROW][C]0.66[/C][C]11.6444002576214[/C][C]0.124663622171091[/C][/ROW]
[ROW][C]0.67[/C][C]11.6780540328151[/C][C]0.143096075249926[/C][/ROW]
[ROW][C]0.68[/C][C]11.7166813018941[/C][C]0.163916879717378[/C][/ROW]
[ROW][C]0.69[/C][C]11.760618328154[/C][C]0.184970920434347[/C][/ROW]
[ROW][C]0.7[/C][C]11.8096159635515[/C][C]0.203564149957972[/C][/ROW]
[ROW][C]0.71[/C][C]11.8627651271915[/C][C]0.217012818858854[/C][/ROW]
[ROW][C]0.72[/C][C]11.9185430828354[/C][C]0.223066329412375[/C][/ROW]
[ROW][C]0.73[/C][C]11.9749920759086[/C][C]0.220552815244604[/C][/ROW]
[ROW][C]0.74[/C][C]12.0300029962832[/C][C]0.209537574578642[/C][/ROW]
[ROW][C]0.75[/C][C]12.0816405746184[/C][C]0.19144693298784[/C][/ROW]
[ROW][C]0.76[/C][C]12.1284281768753[/C][C]0.168622694961218[/C][/ROW]
[ROW][C]0.77[/C][C]12.1695191271402[/C][C]0.143903124284543[/C][/ROW]
[ROW][C]0.78[/C][C]12.2047166373875[/C][C]0.11983618015331[/C][/ROW]
[ROW][C]0.79[/C][C]12.2343534939763[/C][C]0.0983081864454951[/C][/ROW]
[ROW][C]0.8[/C][C]12.2590866369757[/C][C]0.0801937960013995[/C][/ROW]
[ROW][C]0.81[/C][C]12.279683270607[/C][C]0.0654859964278291[/C][/ROW]
[ROW][C]0.82[/C][C]12.2968663682359[/C][C]0.0536434823368496[/C][/ROW]
[ROW][C]0.83[/C][C]12.3112538990405[/C][C]0.04401786818353[/C][/ROW]
[ROW][C]0.84[/C][C]12.3233838631687[/C][C]0.0361782315720093[/C][/ROW]
[ROW][C]0.85[/C][C]12.3337847685151[/C][C]0.0301026894149864[/C][/ROW]
[ROW][C]0.86[/C][C]12.343040254371[/C][C]0.0259914273141345[/C][/ROW]
[ROW][C]0.87[/C][C]12.3518071778818[/C][C]0.0240922518073214[/C][/ROW]
[ROW][C]0.88[/C][C]12.3607692829651[/C][C]0.0243206455962221[/C][/ROW]
[ROW][C]0.89[/C][C]12.3705330668261[/C][C]0.0261537940120162[/C][/ROW]
[ROW][C]0.9[/C][C]12.3814945865609[/C][C]0.0286204771908309[/C][/ROW]
[ROW][C]0.91[/C][C]12.3937272286017[/C][C]0.0306304430255403[/C][/ROW]
[ROW][C]0.92[/C][C]12.4069573344712[/C][C]0.031228906023087[/C][/ROW]
[ROW][C]0.93[/C][C]12.4206879177209[/C][C]0.0300230229144115[/C][/ROW]
[ROW][C]0.94[/C][C]12.4344677078551[/C][C]0.0274816042160079[/C][/ROW]
[ROW][C]0.95[/C][C]12.4481617791212[/C][C]0.0247100337733284[/C][/ROW]
[ROW][C]0.96[/C][C]12.4619263395878[/C][C]0.0225317786643458[/C][/ROW]
[ROW][C]0.97[/C][C]12.4756532612026[/C][C]0.0200670390504907[/C][/ROW]
[ROW][C]0.98[/C][C]12.4881219721981[/C][C]0.0152305528244114[/C][/ROW]
[ROW][C]0.99[/C][C]12.4968226209041[/C][C]0.00723820179945473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128530&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128530&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
0.0110.90205887978980.0160490643683592
0.0210.91748915610720.0157723711352748
0.0310.93156465235860.01956871532858
0.0410.94553469509810.0241694876408984
0.0510.95981149296120.0264551230045599
0.0610.97345625398370.0252589540086454
0.0710.98535554988820.0217499499214437
0.0810.99499033500060.0177452748961742
0.0911.00248535152460.0143615973176681
0.111.00829067174190.0118536403162582
0.1111.01289968367570.0101790981818804
0.1211.01673037319180.00923181993507503
0.1311.02010716629340.00890562898335383
0.1411.02326730353430.00905847826516555
0.1511.02636509547420.00945318402026741
0.1611.02947804295790.00988524857393472
0.1711.03262152669510.0102081128169996
0.1811.03577064260570.0103594261669363
0.1911.03888211808250.0103304294528226
0.211.04190998924990.010134518985461
0.2111.04481341212520.00980783994183139
0.2211.04755937021190.00936209135790061
0.2311.05012446813410.00881968443433257
0.2411.05249845751210.00822600443149868
0.2511.05468934639250.0076837044152047
0.2611.05672781785210.00729119244689308
0.2711.05866830869540.00713608225186532
0.2811.06058543704830.00735906958606811
0.2911.06256662839880.00795397235571781
0.311.06470357065820.00892171521473626
0.3111.06708559672990.010228973139197
0.3211.06979700748630.0118598073216228
0.3311.07291825992610.0138087371145114
0.3411.07652891944460.0161119097183406
0.3511.08070936017020.0187879188501279
0.3611.08553889784850.0218115161079144
0.3711.0910900540380.0251541136530269
0.3811.09742100797950.0287034726112151
0.3911.10456982813090.0323557173553469
0.411.11255400343680.0359914183328701
0.4111.12137709248770.0396255166006674
0.4211.13104171253590.0432288197924522
0.4311.1415657052230.0469790620816882
0.4411.15299705753030.0510190502818898
0.4511.16542332938980.0555672473420072
0.4611.17897258426790.0607717952004056
0.4711.19380444240560.066769543349382
0.4811.21009134095270.0735542548303914
0.4911.22799133011670.0809950062462896
0.511.24761509643550.088802524638517
0.5111.26899167812780.0965484201559491
0.5211.292039286150.103621642047451
0.5311.31654885735990.109466057591253
0.5411.34218726967220.113508022203539
0.5511.36852389650790.115392249459268
0.5611.39507891902790.114966933027213
0.5711.42138632960750.11249169276372
0.5811.44706108850870.108434588856391
0.5911.47185991870920.103567296058976
0.611.4957285079060.098754846157067
0.6111.51883242661260.0949956395929189
0.6211.54157207683340.093343714203729
0.6311.56458144931050.0947789485572467
0.6411.58870648775830.100188057353655
0.6511.61495398582260.110135358325822
0.6611.64440025762140.124663622171091
0.6711.67805403281510.143096075249926
0.6811.71668130189410.163916879717378
0.6911.7606183281540.184970920434347
0.711.80961596355150.203564149957972
0.7111.86276512719150.217012818858854
0.7211.91854308283540.223066329412375
0.7311.97499207590860.220552815244604
0.7412.03000299628320.209537574578642
0.7512.08164057461840.19144693298784
0.7612.12842817687530.168622694961218
0.7712.16951912714020.143903124284543
0.7812.20471663738750.11983618015331
0.7912.23435349397630.0983081864454951
0.812.25908663697570.0801937960013995
0.8112.2796832706070.0654859964278291
0.8212.29686636823590.0536434823368496
0.8312.31125389904050.04401786818353
0.8412.32338386316870.0361782315720093
0.8512.33378476851510.0301026894149864
0.8612.3430402543710.0259914273141345
0.8712.35180717788180.0240922518073214
0.8812.36076928296510.0243206455962221
0.8912.37053306682610.0261537940120162
0.912.38149458656090.0286204771908309
0.9112.39372722860170.0306304430255403
0.9212.40695733447120.031228906023087
0.9312.42068791772090.0300230229144115
0.9412.43446770785510.0274816042160079
0.9512.44816177912120.0247100337733284
0.9612.46192633958780.0225317786643458
0.9712.47565326120260.0200670390504907
0.9812.48812197219810.0152305528244114
0.9912.49682262090410.00723820179945473


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')