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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, 23 Oct 2009 06:21:51 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/23/t12563006102q5p6cq5w7qrhb4.htm/, Retrieved Thu, 02 May 2024 08:55:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49927, Retrieved Thu, 02 May 2024 08:55:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
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] [Percentielen eige...] [2009-10-16 12:20:56] [4ef36953ac96474260c49165aa503bfa]
- R P     [Harrell-Davis Quantiles] [Harrell-Davis eig...] [2009-10-23 12:21:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6
5
2
3
-2
-4
0
1
4
-3
-3
0
6
-1
0
-1
1
-4
-1
-1
0
3
0
8
8
8
8
11
13
5
12
13
9
11
7
12
11
10
13
14
10
13
12
13
17
15
6
9
6
11
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16
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14
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12
14
16
13
13
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13
12
15
10
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11
8

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'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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49927&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49927&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49927&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-3.910233399821680.264641771590618
0.02-3.699685451909130.553363464336429
0.03-3.386948885155220.746837771460525
0.04-3.015908985141040.859526254055219
0.05-2.626379567447220.921849880166317
0.06-2.245456977551850.934029475031063
0.07-1.890250177128040.894639516564804
0.08-1.570650088696450.820377051285328
0.09-1.289838413988650.739368348275368
0.1-1.044794983523330.676157473989261
0.11-0.8281296252060540.642144712934452
0.12-0.6305873985142970.636668215975528
0.13-0.4430201873348550.655357222370518
0.14-0.2572602427927490.69684156624443
0.15-0.06613147529509980.763247113074273
0.160.136816583585310.856722447380447
0.170.3573836453650930.976079749993112
0.180.6004515826363441.11576555651536
0.190.8694957401864631.26682826602481
0.21.166108368944141.41864715480493
0.211.489735775454641.56063210583244
0.221.83772381019661.68360090820304
0.232.205655474893561.78070633933541
0.242.5878913919051.84790758731541
0.252.978198045642371.88401279192612
0.263.370358699259071.89040158191468
0.273.758689789446231.87055692110146
0.284.138416884355721.82943981968491
0.294.505891535917191.77283794374713
0.34.858652134894351.70664984604710
0.315.195349449565641.63621139201064
0.325.515571801858761.56578478809426
0.335.819614904608581.49821616333951
0.346.108244928782881.43493745903185
0.356.382498234565651.37629283112144
0.366.643547125501911.32209278023828
0.376.892640531113221.27224981428671
0.387.131106711168121.22720999629041
0.397.36038787558631.18814003665409
0.47.58206892567161.15671280034827
0.417.797866457877131.13458291423483
0.428.009558326226461.12270997908282
0.438.218854007007131.12077761642302
0.448.427225786807221.12691147425199
0.458.635734799324251.13787585809817
0.468.844890553486361.14956995460014
0.479.054577058551361.15772715919160
0.489.264064955074381.15862172390645
0.499.47211109512851.14952229118090
0.59.677129319554161.12906432982504
0.519.877402738896351.09729718952198
0.5210.07130123251201.05561558701008
0.5310.25746899259221.00638990923833
0.5410.43495495525550.952611515795174
0.5510.60327178382980.89741160031579
0.5610.76238380432720.843609152080281
0.5710.91263778338450.793333562356116
0.5811.05465982409020.747873232728946
0.5911.18924492991920.70764836583835
0.611.31726230049920.672429796515972
0.6111.43959018576810.641687592666085
0.6211.55708175939580.614911238644356
0.6311.67055168940100.591860958371591
0.6411.78076571712690.572530165859009
0.6511.88841536703060.556954832831239
0.6611.99406754224820.544833933658466
0.6712.09809224625310.53522439235566
0.6812.20058676836040.526438661474595
0.6912.30132604255040.516255032544654
0.712.39977179526750.502418429070877
0.7112.49516505569610.483262014272109
0.7212.58670841288380.458289803911042
0.7312.67382014969340.428559967996706
0.7412.75641836091450.396862765188346
0.7512.83517611398380.367626764277733
0.7612.91168393516110.346517517001195
0.7712.98846582457190.339523150207560
0.7813.06881853735610.351175132421521
0.7913.15647668987270.382611510947663
0.813.25514186856350.431106280181051
0.8113.36794539211010.491086107759958
0.8213.49693624991930.555466289316322
0.8313.64269528394700.616599083463189
0.8413.80417307317500.667182898002006
0.8513.97882970768460.701228898621197
0.8614.16311120600460.715173397589122
0.8714.35321665085570.708912104500103
0.8814.54598990884130.686429447142856
0.8914.73964905037130.6554459249732
0.914.93405184076770.625135795342189
0.9115.13043912160500.601692807262118
0.9215.33118415795310.584260882733722
0.9315.54083679214250.567390036771553
0.9415.77012427669080.553422495541136
0.9516.04356288610210.569980338559841
0.9616.40728126879130.671686575230249
0.9716.92393915663350.901406625593088
0.9817.62760488687581.25551253040806
0.9918.42077220979391.66721852039448

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -3.91023339982168 & 0.264641771590618 \tabularnewline
0.02 & -3.69968545190913 & 0.553363464336429 \tabularnewline
0.03 & -3.38694888515522 & 0.746837771460525 \tabularnewline
0.04 & -3.01590898514104 & 0.859526254055219 \tabularnewline
0.05 & -2.62637956744722 & 0.921849880166317 \tabularnewline
0.06 & -2.24545697755185 & 0.934029475031063 \tabularnewline
0.07 & -1.89025017712804 & 0.894639516564804 \tabularnewline
0.08 & -1.57065008869645 & 0.820377051285328 \tabularnewline
0.09 & -1.28983841398865 & 0.739368348275368 \tabularnewline
0.1 & -1.04479498352333 & 0.676157473989261 \tabularnewline
0.11 & -0.828129625206054 & 0.642144712934452 \tabularnewline
0.12 & -0.630587398514297 & 0.636668215975528 \tabularnewline
0.13 & -0.443020187334855 & 0.655357222370518 \tabularnewline
0.14 & -0.257260242792749 & 0.69684156624443 \tabularnewline
0.15 & -0.0661314752950998 & 0.763247113074273 \tabularnewline
0.16 & 0.13681658358531 & 0.856722447380447 \tabularnewline
0.17 & 0.357383645365093 & 0.976079749993112 \tabularnewline
0.18 & 0.600451582636344 & 1.11576555651536 \tabularnewline
0.19 & 0.869495740186463 & 1.26682826602481 \tabularnewline
0.2 & 1.16610836894414 & 1.41864715480493 \tabularnewline
0.21 & 1.48973577545464 & 1.56063210583244 \tabularnewline
0.22 & 1.8377238101966 & 1.68360090820304 \tabularnewline
0.23 & 2.20565547489356 & 1.78070633933541 \tabularnewline
0.24 & 2.587891391905 & 1.84790758731541 \tabularnewline
0.25 & 2.97819804564237 & 1.88401279192612 \tabularnewline
0.26 & 3.37035869925907 & 1.89040158191468 \tabularnewline
0.27 & 3.75868978944623 & 1.87055692110146 \tabularnewline
0.28 & 4.13841688435572 & 1.82943981968491 \tabularnewline
0.29 & 4.50589153591719 & 1.77283794374713 \tabularnewline
0.3 & 4.85865213489435 & 1.70664984604710 \tabularnewline
0.31 & 5.19534944956564 & 1.63621139201064 \tabularnewline
0.32 & 5.51557180185876 & 1.56578478809426 \tabularnewline
0.33 & 5.81961490460858 & 1.49821616333951 \tabularnewline
0.34 & 6.10824492878288 & 1.43493745903185 \tabularnewline
0.35 & 6.38249823456565 & 1.37629283112144 \tabularnewline
0.36 & 6.64354712550191 & 1.32209278023828 \tabularnewline
0.37 & 6.89264053111322 & 1.27224981428671 \tabularnewline
0.38 & 7.13110671116812 & 1.22720999629041 \tabularnewline
0.39 & 7.3603878755863 & 1.18814003665409 \tabularnewline
0.4 & 7.5820689256716 & 1.15671280034827 \tabularnewline
0.41 & 7.79786645787713 & 1.13458291423483 \tabularnewline
0.42 & 8.00955832622646 & 1.12270997908282 \tabularnewline
0.43 & 8.21885400700713 & 1.12077761642302 \tabularnewline
0.44 & 8.42722578680722 & 1.12691147425199 \tabularnewline
0.45 & 8.63573479932425 & 1.13787585809817 \tabularnewline
0.46 & 8.84489055348636 & 1.14956995460014 \tabularnewline
0.47 & 9.05457705855136 & 1.15772715919160 \tabularnewline
0.48 & 9.26406495507438 & 1.15862172390645 \tabularnewline
0.49 & 9.4721110951285 & 1.14952229118090 \tabularnewline
0.5 & 9.67712931955416 & 1.12906432982504 \tabularnewline
0.51 & 9.87740273889635 & 1.09729718952198 \tabularnewline
0.52 & 10.0713012325120 & 1.05561558701008 \tabularnewline
0.53 & 10.2574689925922 & 1.00638990923833 \tabularnewline
0.54 & 10.4349549552555 & 0.952611515795174 \tabularnewline
0.55 & 10.6032717838298 & 0.89741160031579 \tabularnewline
0.56 & 10.7623838043272 & 0.843609152080281 \tabularnewline
0.57 & 10.9126377833845 & 0.793333562356116 \tabularnewline
0.58 & 11.0546598240902 & 0.747873232728946 \tabularnewline
0.59 & 11.1892449299192 & 0.70764836583835 \tabularnewline
0.6 & 11.3172623004992 & 0.672429796515972 \tabularnewline
0.61 & 11.4395901857681 & 0.641687592666085 \tabularnewline
0.62 & 11.5570817593958 & 0.614911238644356 \tabularnewline
0.63 & 11.6705516894010 & 0.591860958371591 \tabularnewline
0.64 & 11.7807657171269 & 0.572530165859009 \tabularnewline
0.65 & 11.8884153670306 & 0.556954832831239 \tabularnewline
0.66 & 11.9940675422482 & 0.544833933658466 \tabularnewline
0.67 & 12.0980922462531 & 0.53522439235566 \tabularnewline
0.68 & 12.2005867683604 & 0.526438661474595 \tabularnewline
0.69 & 12.3013260425504 & 0.516255032544654 \tabularnewline
0.7 & 12.3997717952675 & 0.502418429070877 \tabularnewline
0.71 & 12.4951650556961 & 0.483262014272109 \tabularnewline
0.72 & 12.5867084128838 & 0.458289803911042 \tabularnewline
0.73 & 12.6738201496934 & 0.428559967996706 \tabularnewline
0.74 & 12.7564183609145 & 0.396862765188346 \tabularnewline
0.75 & 12.8351761139838 & 0.367626764277733 \tabularnewline
0.76 & 12.9116839351611 & 0.346517517001195 \tabularnewline
0.77 & 12.9884658245719 & 0.339523150207560 \tabularnewline
0.78 & 13.0688185373561 & 0.351175132421521 \tabularnewline
0.79 & 13.1564766898727 & 0.382611510947663 \tabularnewline
0.8 & 13.2551418685635 & 0.431106280181051 \tabularnewline
0.81 & 13.3679453921101 & 0.491086107759958 \tabularnewline
0.82 & 13.4969362499193 & 0.555466289316322 \tabularnewline
0.83 & 13.6426952839470 & 0.616599083463189 \tabularnewline
0.84 & 13.8041730731750 & 0.667182898002006 \tabularnewline
0.85 & 13.9788297076846 & 0.701228898621197 \tabularnewline
0.86 & 14.1631112060046 & 0.715173397589122 \tabularnewline
0.87 & 14.3532166508557 & 0.708912104500103 \tabularnewline
0.88 & 14.5459899088413 & 0.686429447142856 \tabularnewline
0.89 & 14.7396490503713 & 0.6554459249732 \tabularnewline
0.9 & 14.9340518407677 & 0.625135795342189 \tabularnewline
0.91 & 15.1304391216050 & 0.601692807262118 \tabularnewline
0.92 & 15.3311841579531 & 0.584260882733722 \tabularnewline
0.93 & 15.5408367921425 & 0.567390036771553 \tabularnewline
0.94 & 15.7701242766908 & 0.553422495541136 \tabularnewline
0.95 & 16.0435628861021 & 0.569980338559841 \tabularnewline
0.96 & 16.4072812687913 & 0.671686575230249 \tabularnewline
0.97 & 16.9239391566335 & 0.901406625593088 \tabularnewline
0.98 & 17.6276048868758 & 1.25551253040806 \tabularnewline
0.99 & 18.4207722097939 & 1.66721852039448 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49927&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]-3.91023339982168[/C][C]0.264641771590618[/C][/ROW]
[ROW][C]0.02[/C][C]-3.69968545190913[/C][C]0.553363464336429[/C][/ROW]
[ROW][C]0.03[/C][C]-3.38694888515522[/C][C]0.746837771460525[/C][/ROW]
[ROW][C]0.04[/C][C]-3.01590898514104[/C][C]0.859526254055219[/C][/ROW]
[ROW][C]0.05[/C][C]-2.62637956744722[/C][C]0.921849880166317[/C][/ROW]
[ROW][C]0.06[/C][C]-2.24545697755185[/C][C]0.934029475031063[/C][/ROW]
[ROW][C]0.07[/C][C]-1.89025017712804[/C][C]0.894639516564804[/C][/ROW]
[ROW][C]0.08[/C][C]-1.57065008869645[/C][C]0.820377051285328[/C][/ROW]
[ROW][C]0.09[/C][C]-1.28983841398865[/C][C]0.739368348275368[/C][/ROW]
[ROW][C]0.1[/C][C]-1.04479498352333[/C][C]0.676157473989261[/C][/ROW]
[ROW][C]0.11[/C][C]-0.828129625206054[/C][C]0.642144712934452[/C][/ROW]
[ROW][C]0.12[/C][C]-0.630587398514297[/C][C]0.636668215975528[/C][/ROW]
[ROW][C]0.13[/C][C]-0.443020187334855[/C][C]0.655357222370518[/C][/ROW]
[ROW][C]0.14[/C][C]-0.257260242792749[/C][C]0.69684156624443[/C][/ROW]
[ROW][C]0.15[/C][C]-0.0661314752950998[/C][C]0.763247113074273[/C][/ROW]
[ROW][C]0.16[/C][C]0.13681658358531[/C][C]0.856722447380447[/C][/ROW]
[ROW][C]0.17[/C][C]0.357383645365093[/C][C]0.976079749993112[/C][/ROW]
[ROW][C]0.18[/C][C]0.600451582636344[/C][C]1.11576555651536[/C][/ROW]
[ROW][C]0.19[/C][C]0.869495740186463[/C][C]1.26682826602481[/C][/ROW]
[ROW][C]0.2[/C][C]1.16610836894414[/C][C]1.41864715480493[/C][/ROW]
[ROW][C]0.21[/C][C]1.48973577545464[/C][C]1.56063210583244[/C][/ROW]
[ROW][C]0.22[/C][C]1.8377238101966[/C][C]1.68360090820304[/C][/ROW]
[ROW][C]0.23[/C][C]2.20565547489356[/C][C]1.78070633933541[/C][/ROW]
[ROW][C]0.24[/C][C]2.587891391905[/C][C]1.84790758731541[/C][/ROW]
[ROW][C]0.25[/C][C]2.97819804564237[/C][C]1.88401279192612[/C][/ROW]
[ROW][C]0.26[/C][C]3.37035869925907[/C][C]1.89040158191468[/C][/ROW]
[ROW][C]0.27[/C][C]3.75868978944623[/C][C]1.87055692110146[/C][/ROW]
[ROW][C]0.28[/C][C]4.13841688435572[/C][C]1.82943981968491[/C][/ROW]
[ROW][C]0.29[/C][C]4.50589153591719[/C][C]1.77283794374713[/C][/ROW]
[ROW][C]0.3[/C][C]4.85865213489435[/C][C]1.70664984604710[/C][/ROW]
[ROW][C]0.31[/C][C]5.19534944956564[/C][C]1.63621139201064[/C][/ROW]
[ROW][C]0.32[/C][C]5.51557180185876[/C][C]1.56578478809426[/C][/ROW]
[ROW][C]0.33[/C][C]5.81961490460858[/C][C]1.49821616333951[/C][/ROW]
[ROW][C]0.34[/C][C]6.10824492878288[/C][C]1.43493745903185[/C][/ROW]
[ROW][C]0.35[/C][C]6.38249823456565[/C][C]1.37629283112144[/C][/ROW]
[ROW][C]0.36[/C][C]6.64354712550191[/C][C]1.32209278023828[/C][/ROW]
[ROW][C]0.37[/C][C]6.89264053111322[/C][C]1.27224981428671[/C][/ROW]
[ROW][C]0.38[/C][C]7.13110671116812[/C][C]1.22720999629041[/C][/ROW]
[ROW][C]0.39[/C][C]7.3603878755863[/C][C]1.18814003665409[/C][/ROW]
[ROW][C]0.4[/C][C]7.5820689256716[/C][C]1.15671280034827[/C][/ROW]
[ROW][C]0.41[/C][C]7.79786645787713[/C][C]1.13458291423483[/C][/ROW]
[ROW][C]0.42[/C][C]8.00955832622646[/C][C]1.12270997908282[/C][/ROW]
[ROW][C]0.43[/C][C]8.21885400700713[/C][C]1.12077761642302[/C][/ROW]
[ROW][C]0.44[/C][C]8.42722578680722[/C][C]1.12691147425199[/C][/ROW]
[ROW][C]0.45[/C][C]8.63573479932425[/C][C]1.13787585809817[/C][/ROW]
[ROW][C]0.46[/C][C]8.84489055348636[/C][C]1.14956995460014[/C][/ROW]
[ROW][C]0.47[/C][C]9.05457705855136[/C][C]1.15772715919160[/C][/ROW]
[ROW][C]0.48[/C][C]9.26406495507438[/C][C]1.15862172390645[/C][/ROW]
[ROW][C]0.49[/C][C]9.4721110951285[/C][C]1.14952229118090[/C][/ROW]
[ROW][C]0.5[/C][C]9.67712931955416[/C][C]1.12906432982504[/C][/ROW]
[ROW][C]0.51[/C][C]9.87740273889635[/C][C]1.09729718952198[/C][/ROW]
[ROW][C]0.52[/C][C]10.0713012325120[/C][C]1.05561558701008[/C][/ROW]
[ROW][C]0.53[/C][C]10.2574689925922[/C][C]1.00638990923833[/C][/ROW]
[ROW][C]0.54[/C][C]10.4349549552555[/C][C]0.952611515795174[/C][/ROW]
[ROW][C]0.55[/C][C]10.6032717838298[/C][C]0.89741160031579[/C][/ROW]
[ROW][C]0.56[/C][C]10.7623838043272[/C][C]0.843609152080281[/C][/ROW]
[ROW][C]0.57[/C][C]10.9126377833845[/C][C]0.793333562356116[/C][/ROW]
[ROW][C]0.58[/C][C]11.0546598240902[/C][C]0.747873232728946[/C][/ROW]
[ROW][C]0.59[/C][C]11.1892449299192[/C][C]0.70764836583835[/C][/ROW]
[ROW][C]0.6[/C][C]11.3172623004992[/C][C]0.672429796515972[/C][/ROW]
[ROW][C]0.61[/C][C]11.4395901857681[/C][C]0.641687592666085[/C][/ROW]
[ROW][C]0.62[/C][C]11.5570817593958[/C][C]0.614911238644356[/C][/ROW]
[ROW][C]0.63[/C][C]11.6705516894010[/C][C]0.591860958371591[/C][/ROW]
[ROW][C]0.64[/C][C]11.7807657171269[/C][C]0.572530165859009[/C][/ROW]
[ROW][C]0.65[/C][C]11.8884153670306[/C][C]0.556954832831239[/C][/ROW]
[ROW][C]0.66[/C][C]11.9940675422482[/C][C]0.544833933658466[/C][/ROW]
[ROW][C]0.67[/C][C]12.0980922462531[/C][C]0.53522439235566[/C][/ROW]
[ROW][C]0.68[/C][C]12.2005867683604[/C][C]0.526438661474595[/C][/ROW]
[ROW][C]0.69[/C][C]12.3013260425504[/C][C]0.516255032544654[/C][/ROW]
[ROW][C]0.7[/C][C]12.3997717952675[/C][C]0.502418429070877[/C][/ROW]
[ROW][C]0.71[/C][C]12.4951650556961[/C][C]0.483262014272109[/C][/ROW]
[ROW][C]0.72[/C][C]12.5867084128838[/C][C]0.458289803911042[/C][/ROW]
[ROW][C]0.73[/C][C]12.6738201496934[/C][C]0.428559967996706[/C][/ROW]
[ROW][C]0.74[/C][C]12.7564183609145[/C][C]0.396862765188346[/C][/ROW]
[ROW][C]0.75[/C][C]12.8351761139838[/C][C]0.367626764277733[/C][/ROW]
[ROW][C]0.76[/C][C]12.9116839351611[/C][C]0.346517517001195[/C][/ROW]
[ROW][C]0.77[/C][C]12.9884658245719[/C][C]0.339523150207560[/C][/ROW]
[ROW][C]0.78[/C][C]13.0688185373561[/C][C]0.351175132421521[/C][/ROW]
[ROW][C]0.79[/C][C]13.1564766898727[/C][C]0.382611510947663[/C][/ROW]
[ROW][C]0.8[/C][C]13.2551418685635[/C][C]0.431106280181051[/C][/ROW]
[ROW][C]0.81[/C][C]13.3679453921101[/C][C]0.491086107759958[/C][/ROW]
[ROW][C]0.82[/C][C]13.4969362499193[/C][C]0.555466289316322[/C][/ROW]
[ROW][C]0.83[/C][C]13.6426952839470[/C][C]0.616599083463189[/C][/ROW]
[ROW][C]0.84[/C][C]13.8041730731750[/C][C]0.667182898002006[/C][/ROW]
[ROW][C]0.85[/C][C]13.9788297076846[/C][C]0.701228898621197[/C][/ROW]
[ROW][C]0.86[/C][C]14.1631112060046[/C][C]0.715173397589122[/C][/ROW]
[ROW][C]0.87[/C][C]14.3532166508557[/C][C]0.708912104500103[/C][/ROW]
[ROW][C]0.88[/C][C]14.5459899088413[/C][C]0.686429447142856[/C][/ROW]
[ROW][C]0.89[/C][C]14.7396490503713[/C][C]0.6554459249732[/C][/ROW]
[ROW][C]0.9[/C][C]14.9340518407677[/C][C]0.625135795342189[/C][/ROW]
[ROW][C]0.91[/C][C]15.1304391216050[/C][C]0.601692807262118[/C][/ROW]
[ROW][C]0.92[/C][C]15.3311841579531[/C][C]0.584260882733722[/C][/ROW]
[ROW][C]0.93[/C][C]15.5408367921425[/C][C]0.567390036771553[/C][/ROW]
[ROW][C]0.94[/C][C]15.7701242766908[/C][C]0.553422495541136[/C][/ROW]
[ROW][C]0.95[/C][C]16.0435628861021[/C][C]0.569980338559841[/C][/ROW]
[ROW][C]0.96[/C][C]16.4072812687913[/C][C]0.671686575230249[/C][/ROW]
[ROW][C]0.97[/C][C]16.9239391566335[/C][C]0.901406625593088[/C][/ROW]
[ROW][C]0.98[/C][C]17.6276048868758[/C][C]1.25551253040806[/C][/ROW]
[ROW][C]0.99[/C][C]18.4207722097939[/C][C]1.66721852039448[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49927&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49927&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
0.01-3.910233399821680.264641771590618
0.02-3.699685451909130.553363464336429
0.03-3.386948885155220.746837771460525
0.04-3.015908985141040.859526254055219
0.05-2.626379567447220.921849880166317
0.06-2.245456977551850.934029475031063
0.07-1.890250177128040.894639516564804
0.08-1.570650088696450.820377051285328
0.09-1.289838413988650.739368348275368
0.1-1.044794983523330.676157473989261
0.11-0.8281296252060540.642144712934452
0.12-0.6305873985142970.636668215975528
0.13-0.4430201873348550.655357222370518
0.14-0.2572602427927490.69684156624443
0.15-0.06613147529509980.763247113074273
0.160.136816583585310.856722447380447
0.170.3573836453650930.976079749993112
0.180.6004515826363441.11576555651536
0.190.8694957401864631.26682826602481
0.21.166108368944141.41864715480493
0.211.489735775454641.56063210583244
0.221.83772381019661.68360090820304
0.232.205655474893561.78070633933541
0.242.5878913919051.84790758731541
0.252.978198045642371.88401279192612
0.263.370358699259071.89040158191468
0.273.758689789446231.87055692110146
0.284.138416884355721.82943981968491
0.294.505891535917191.77283794374713
0.34.858652134894351.70664984604710
0.315.195349449565641.63621139201064
0.325.515571801858761.56578478809426
0.335.819614904608581.49821616333951
0.346.108244928782881.43493745903185
0.356.382498234565651.37629283112144
0.366.643547125501911.32209278023828
0.376.892640531113221.27224981428671
0.387.131106711168121.22720999629041
0.397.36038787558631.18814003665409
0.47.58206892567161.15671280034827
0.417.797866457877131.13458291423483
0.428.009558326226461.12270997908282
0.438.218854007007131.12077761642302
0.448.427225786807221.12691147425199
0.458.635734799324251.13787585809817
0.468.844890553486361.14956995460014
0.479.054577058551361.15772715919160
0.489.264064955074381.15862172390645
0.499.47211109512851.14952229118090
0.59.677129319554161.12906432982504
0.519.877402738896351.09729718952198
0.5210.07130123251201.05561558701008
0.5310.25746899259221.00638990923833
0.5410.43495495525550.952611515795174
0.5510.60327178382980.89741160031579
0.5610.76238380432720.843609152080281
0.5710.91263778338450.793333562356116
0.5811.05465982409020.747873232728946
0.5911.18924492991920.70764836583835
0.611.31726230049920.672429796515972
0.6111.43959018576810.641687592666085
0.6211.55708175939580.614911238644356
0.6311.67055168940100.591860958371591
0.6411.78076571712690.572530165859009
0.6511.88841536703060.556954832831239
0.6611.99406754224820.544833933658466
0.6712.09809224625310.53522439235566
0.6812.20058676836040.526438661474595
0.6912.30132604255040.516255032544654
0.712.39977179526750.502418429070877
0.7112.49516505569610.483262014272109
0.7212.58670841288380.458289803911042
0.7312.67382014969340.428559967996706
0.7412.75641836091450.396862765188346
0.7512.83517611398380.367626764277733
0.7612.91168393516110.346517517001195
0.7712.98846582457190.339523150207560
0.7813.06881853735610.351175132421521
0.7913.15647668987270.382611510947663
0.813.25514186856350.431106280181051
0.8113.36794539211010.491086107759958
0.8213.49693624991930.555466289316322
0.8313.64269528394700.616599083463189
0.8413.80417307317500.667182898002006
0.8513.97882970768460.701228898621197
0.8614.16311120600460.715173397589122
0.8714.35321665085570.708912104500103
0.8814.54598990884130.686429447142856
0.8914.73964905037130.6554459249732
0.914.93405184076770.625135795342189
0.9115.13043912160500.601692807262118
0.9215.33118415795310.584260882733722
0.9315.54083679214250.567390036771553
0.9415.77012427669080.553422495541136
0.9516.04356288610210.569980338559841
0.9616.40728126879130.671686575230249
0.9716.92393915663350.901406625593088
0.9817.62760488687581.25551253040806
0.9918.42077220979391.66721852039448


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')