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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 27 Mar 2009 02:32:11 -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/Mar/27/t12381429531q2g08xwrxud2ai.htm/, Retrieved Thu, 28 Mar 2024 22:27:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39218, Retrieved Thu, 28 Mar 2024 22:27:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Kristof Nollekens...] [2009-03-27 08:32:11] [ab1aebe0c4b197473e932d3a749fbaa5] [Current]
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Dataseries X:
4000
3600
1600
2500
3800
3500
4100
2000
3300
4000
4100
4200
1100
1900
4800
4000
3250
1200
3600
3400
3600
3300
1300
2500
3800
3800
3000
1600
2100
3900
4000
3900
2300
3600
3600
4200
4400
1900
2700
3600
4100
5250
1200
3000
4000
5200
2100
3400
5200
6900
2300
4100
4300
4500
4700
2200
2900
4400
5100
2300
3500
4100
4700
5400
2500
3500
3900
4100
4500
1800
4900
4500
3700
3100
1700
4000
4200
4300
3600
2600
4600
4000
2900
1800
3000
4200
4400
4900
2300
2400
3600
3900
2800
3800
4400
4200
5400
2300
3500
3800
4400
4400
2500
3700
3500
3300
3700
2200
3200
3100
4800
4400
2500
3100
4700
4300
4600
3100
3200
4300
4000
4500
2600
3600
4700
3800
4100
1700
3200
4000
3700
3600
2500
3800
4500
3500
4100
2300
3400
4800
4900
2600
3300
3900
3800
5000
1700
2700
4000
3300
4000
2500
3600
3800
5900
3600
3300
4000
4200
4300
2900
3900
5200
4000
4700
2200
2400
3700
3700
3000
2100
3500
6300
5200
7800
2700
3400
5000
5500
4500
2600
3900
3800
4400
4300
3300
3600
5300
3700
3800
4000
5200
5100
5100
5200
3800
6700
5200
4900
5700
2700
6300
5200
4500
6400
4000
3500
4700
4700
5000
2300
5200
5100
5400
4400
2600
4700
6100
6100
3500
4900
5500
5300
6300
2800
5900
5500
5200
6400
3100
5100
5400
5400
5100
2400
5500
5300
5000
4500
2000
3800
4900
5000
4000
1900
5200
5400
3200
800
3800
4300
2700




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39218&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39218&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39218&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011152.37635795488149.457324096618
0.021414.29466311412198.047286729501
0.031621.28763853261150.927430822420
0.041757.11146748979123.144402631647
0.051862.79974122687128.619308423185
0.061961.701543242134.770664182890
0.072054.99578523197133.450923045488
0.082138.96227089201123.142054086943
0.092210.68108112505108.116765398772
0.12270.8269324299996.5281979283139
0.112323.6334311999793.8619702402764
0.122373.7505386004997.0031348901556
0.132423.2400865797999.3576659710016
0.142471.8627910295399.5129315017781
0.152519.51854216985101.314938801456
0.162567.61265860692108.283569482906
0.172618.43371645904120.645652461520
0.182673.89122888676136.234173251168
0.192734.70345095619151.801285650750
0.22800.13210744736163.729027424697
0.212868.16417573838169.269615482224
0.222936.14784534524167.818999730876
0.233001.66748457639161.051243619511
0.243063.19621945815151.703716788706
0.253120.22983266737142.125115503179
0.263173.01452609908133.628004062315
0.273222.18357602509126.787153818479
0.283268.48603462524121.709034335716
0.293312.58202840753118.006908202767
0.33354.84800276299114.610373338759
0.313395.24935930721110.215725951113
0.323433.38930093013103.994710634139
0.333468.7403674402996.0570043879787
0.343500.9317875403287.3246374282561
0.353529.9518222364979.053906669336
0.363556.2164483512272.485700116499
0.373580.5255717513668.6741940445896
0.383603.9184632182568.1726133198825
0.393627.4232910287670.5445366882129
0.43651.7470061845674.277010891399
0.413677.0365734141377.350526978097
0.423702.8588578968978.1616793841329
0.433728.4487043719776.2799910816547
0.443753.1214235153972.6600275026267
0.453776.6412358692269.1862136373926
0.463799.3493487850967.7213623291552
0.473821.9792010270769.0211100366738
0.483845.2536765881672.2595571944379
0.493869.4767646927875.4656851121942
0.53894.3350963445676.6003135231262
0.513919.014696510774.5497757894514
0.523942.5789212462169.6480375207131
0.533964.427491616863.5899277023963
0.543984.6213721597758.8151757967533
0.554003.9269343947757.4661257451533
0.564023.571727616360.4672375662827
0.574044.842013851867.16801153555
0.584068.7118050765375.9651692911698
0.594095.6428223010985.1353294465295
0.64125.5784161294593.2871993530874
0.614158.0591213645299.5085428722025
0.624192.37012851697103.286009839181
0.634227.67614985197104.444937057803
0.644263.14850601395103.202932889608
0.654298.10225857956100.191080379636
0.664332.1410601296896.4314962905059
0.674365.2792577387693.2453346529372
0.684397.9937758880192.0100660718994
0.694431.1597719517693.6905978750098
0.74465.8474847147098.448506817053
0.714503.00845396453105.438479387622
0.724543.15573364334112.939399054848
0.734586.20430992868119.098411925963
0.744631.59569943423122.929929858645
0.754678.64195676498124.715438896356
0.764726.82598484626125.368126281162
0.774775.82669318983125.346952904287
0.784825.32189761936124.26896916093
0.794874.84138651553121.632795691914
0.84923.82197518163117.483910322861
0.814971.72464369294112.160838505703
0.825017.99596633922105.609070088463
0.835061.8604922863197.1808487360904
0.845102.1756304184786.1040865655461
0.855137.7123192527672.649077256538
0.865168.1248404310459.6094581080204
0.875195.2450349794252.6199937735912
0.885223.3690473538256.6805895653301
0.895257.274930292169.1116187039413
0.95298.9909546168480.619903144189
0.915347.1655836632385.5116987316686
0.925402.2121958314191.9873595571217
0.935474.74859806874121.570661911383
0.945587.68375460112185.360656762715
0.955759.8944388515252.944238963107
0.965976.67951053144264.383280850357
0.976188.78267135168201.939555546924
0.986392.48802006827164.071503877637
0.996816.73595422891319.935977597511

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1152.37635795488 & 149.457324096618 \tabularnewline
0.02 & 1414.29466311412 & 198.047286729501 \tabularnewline
0.03 & 1621.28763853261 & 150.927430822420 \tabularnewline
0.04 & 1757.11146748979 & 123.144402631647 \tabularnewline
0.05 & 1862.79974122687 & 128.619308423185 \tabularnewline
0.06 & 1961.701543242 & 134.770664182890 \tabularnewline
0.07 & 2054.99578523197 & 133.450923045488 \tabularnewline
0.08 & 2138.96227089201 & 123.142054086943 \tabularnewline
0.09 & 2210.68108112505 & 108.116765398772 \tabularnewline
0.1 & 2270.82693242999 & 96.5281979283139 \tabularnewline
0.11 & 2323.63343119997 & 93.8619702402764 \tabularnewline
0.12 & 2373.75053860049 & 97.0031348901556 \tabularnewline
0.13 & 2423.24008657979 & 99.3576659710016 \tabularnewline
0.14 & 2471.86279102953 & 99.5129315017781 \tabularnewline
0.15 & 2519.51854216985 & 101.314938801456 \tabularnewline
0.16 & 2567.61265860692 & 108.283569482906 \tabularnewline
0.17 & 2618.43371645904 & 120.645652461520 \tabularnewline
0.18 & 2673.89122888676 & 136.234173251168 \tabularnewline
0.19 & 2734.70345095619 & 151.801285650750 \tabularnewline
0.2 & 2800.13210744736 & 163.729027424697 \tabularnewline
0.21 & 2868.16417573838 & 169.269615482224 \tabularnewline
0.22 & 2936.14784534524 & 167.818999730876 \tabularnewline
0.23 & 3001.66748457639 & 161.051243619511 \tabularnewline
0.24 & 3063.19621945815 & 151.703716788706 \tabularnewline
0.25 & 3120.22983266737 & 142.125115503179 \tabularnewline
0.26 & 3173.01452609908 & 133.628004062315 \tabularnewline
0.27 & 3222.18357602509 & 126.787153818479 \tabularnewline
0.28 & 3268.48603462524 & 121.709034335716 \tabularnewline
0.29 & 3312.58202840753 & 118.006908202767 \tabularnewline
0.3 & 3354.84800276299 & 114.610373338759 \tabularnewline
0.31 & 3395.24935930721 & 110.215725951113 \tabularnewline
0.32 & 3433.38930093013 & 103.994710634139 \tabularnewline
0.33 & 3468.74036744029 & 96.0570043879787 \tabularnewline
0.34 & 3500.93178754032 & 87.3246374282561 \tabularnewline
0.35 & 3529.95182223649 & 79.053906669336 \tabularnewline
0.36 & 3556.21644835122 & 72.485700116499 \tabularnewline
0.37 & 3580.52557175136 & 68.6741940445896 \tabularnewline
0.38 & 3603.91846321825 & 68.1726133198825 \tabularnewline
0.39 & 3627.42329102876 & 70.5445366882129 \tabularnewline
0.4 & 3651.74700618456 & 74.277010891399 \tabularnewline
0.41 & 3677.03657341413 & 77.350526978097 \tabularnewline
0.42 & 3702.85885789689 & 78.1616793841329 \tabularnewline
0.43 & 3728.44870437197 & 76.2799910816547 \tabularnewline
0.44 & 3753.12142351539 & 72.6600275026267 \tabularnewline
0.45 & 3776.64123586922 & 69.1862136373926 \tabularnewline
0.46 & 3799.34934878509 & 67.7213623291552 \tabularnewline
0.47 & 3821.97920102707 & 69.0211100366738 \tabularnewline
0.48 & 3845.25367658816 & 72.2595571944379 \tabularnewline
0.49 & 3869.47676469278 & 75.4656851121942 \tabularnewline
0.5 & 3894.33509634456 & 76.6003135231262 \tabularnewline
0.51 & 3919.0146965107 & 74.5497757894514 \tabularnewline
0.52 & 3942.57892124621 & 69.6480375207131 \tabularnewline
0.53 & 3964.4274916168 & 63.5899277023963 \tabularnewline
0.54 & 3984.62137215977 & 58.8151757967533 \tabularnewline
0.55 & 4003.92693439477 & 57.4661257451533 \tabularnewline
0.56 & 4023.5717276163 & 60.4672375662827 \tabularnewline
0.57 & 4044.8420138518 & 67.16801153555 \tabularnewline
0.58 & 4068.71180507653 & 75.9651692911698 \tabularnewline
0.59 & 4095.64282230109 & 85.1353294465295 \tabularnewline
0.6 & 4125.57841612945 & 93.2871993530874 \tabularnewline
0.61 & 4158.05912136452 & 99.5085428722025 \tabularnewline
0.62 & 4192.37012851697 & 103.286009839181 \tabularnewline
0.63 & 4227.67614985197 & 104.444937057803 \tabularnewline
0.64 & 4263.14850601395 & 103.202932889608 \tabularnewline
0.65 & 4298.10225857956 & 100.191080379636 \tabularnewline
0.66 & 4332.14106012968 & 96.4314962905059 \tabularnewline
0.67 & 4365.27925773876 & 93.2453346529372 \tabularnewline
0.68 & 4397.99377588801 & 92.0100660718994 \tabularnewline
0.69 & 4431.15977195176 & 93.6905978750098 \tabularnewline
0.7 & 4465.84748471470 & 98.448506817053 \tabularnewline
0.71 & 4503.00845396453 & 105.438479387622 \tabularnewline
0.72 & 4543.15573364334 & 112.939399054848 \tabularnewline
0.73 & 4586.20430992868 & 119.098411925963 \tabularnewline
0.74 & 4631.59569943423 & 122.929929858645 \tabularnewline
0.75 & 4678.64195676498 & 124.715438896356 \tabularnewline
0.76 & 4726.82598484626 & 125.368126281162 \tabularnewline
0.77 & 4775.82669318983 & 125.346952904287 \tabularnewline
0.78 & 4825.32189761936 & 124.26896916093 \tabularnewline
0.79 & 4874.84138651553 & 121.632795691914 \tabularnewline
0.8 & 4923.82197518163 & 117.483910322861 \tabularnewline
0.81 & 4971.72464369294 & 112.160838505703 \tabularnewline
0.82 & 5017.99596633922 & 105.609070088463 \tabularnewline
0.83 & 5061.86049228631 & 97.1808487360904 \tabularnewline
0.84 & 5102.17563041847 & 86.1040865655461 \tabularnewline
0.85 & 5137.71231925276 & 72.649077256538 \tabularnewline
0.86 & 5168.12484043104 & 59.6094581080204 \tabularnewline
0.87 & 5195.24503497942 & 52.6199937735912 \tabularnewline
0.88 & 5223.36904735382 & 56.6805895653301 \tabularnewline
0.89 & 5257.2749302921 & 69.1116187039413 \tabularnewline
0.9 & 5298.99095461684 & 80.619903144189 \tabularnewline
0.91 & 5347.16558366323 & 85.5116987316686 \tabularnewline
0.92 & 5402.21219583141 & 91.9873595571217 \tabularnewline
0.93 & 5474.74859806874 & 121.570661911383 \tabularnewline
0.94 & 5587.68375460112 & 185.360656762715 \tabularnewline
0.95 & 5759.8944388515 & 252.944238963107 \tabularnewline
0.96 & 5976.67951053144 & 264.383280850357 \tabularnewline
0.97 & 6188.78267135168 & 201.939555546924 \tabularnewline
0.98 & 6392.48802006827 & 164.071503877637 \tabularnewline
0.99 & 6816.73595422891 & 319.935977597511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39218&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]1152.37635795488[/C][C]149.457324096618[/C][/ROW]
[ROW][C]0.02[/C][C]1414.29466311412[/C][C]198.047286729501[/C][/ROW]
[ROW][C]0.03[/C][C]1621.28763853261[/C][C]150.927430822420[/C][/ROW]
[ROW][C]0.04[/C][C]1757.11146748979[/C][C]123.144402631647[/C][/ROW]
[ROW][C]0.05[/C][C]1862.79974122687[/C][C]128.619308423185[/C][/ROW]
[ROW][C]0.06[/C][C]1961.701543242[/C][C]134.770664182890[/C][/ROW]
[ROW][C]0.07[/C][C]2054.99578523197[/C][C]133.450923045488[/C][/ROW]
[ROW][C]0.08[/C][C]2138.96227089201[/C][C]123.142054086943[/C][/ROW]
[ROW][C]0.09[/C][C]2210.68108112505[/C][C]108.116765398772[/C][/ROW]
[ROW][C]0.1[/C][C]2270.82693242999[/C][C]96.5281979283139[/C][/ROW]
[ROW][C]0.11[/C][C]2323.63343119997[/C][C]93.8619702402764[/C][/ROW]
[ROW][C]0.12[/C][C]2373.75053860049[/C][C]97.0031348901556[/C][/ROW]
[ROW][C]0.13[/C][C]2423.24008657979[/C][C]99.3576659710016[/C][/ROW]
[ROW][C]0.14[/C][C]2471.86279102953[/C][C]99.5129315017781[/C][/ROW]
[ROW][C]0.15[/C][C]2519.51854216985[/C][C]101.314938801456[/C][/ROW]
[ROW][C]0.16[/C][C]2567.61265860692[/C][C]108.283569482906[/C][/ROW]
[ROW][C]0.17[/C][C]2618.43371645904[/C][C]120.645652461520[/C][/ROW]
[ROW][C]0.18[/C][C]2673.89122888676[/C][C]136.234173251168[/C][/ROW]
[ROW][C]0.19[/C][C]2734.70345095619[/C][C]151.801285650750[/C][/ROW]
[ROW][C]0.2[/C][C]2800.13210744736[/C][C]163.729027424697[/C][/ROW]
[ROW][C]0.21[/C][C]2868.16417573838[/C][C]169.269615482224[/C][/ROW]
[ROW][C]0.22[/C][C]2936.14784534524[/C][C]167.818999730876[/C][/ROW]
[ROW][C]0.23[/C][C]3001.66748457639[/C][C]161.051243619511[/C][/ROW]
[ROW][C]0.24[/C][C]3063.19621945815[/C][C]151.703716788706[/C][/ROW]
[ROW][C]0.25[/C][C]3120.22983266737[/C][C]142.125115503179[/C][/ROW]
[ROW][C]0.26[/C][C]3173.01452609908[/C][C]133.628004062315[/C][/ROW]
[ROW][C]0.27[/C][C]3222.18357602509[/C][C]126.787153818479[/C][/ROW]
[ROW][C]0.28[/C][C]3268.48603462524[/C][C]121.709034335716[/C][/ROW]
[ROW][C]0.29[/C][C]3312.58202840753[/C][C]118.006908202767[/C][/ROW]
[ROW][C]0.3[/C][C]3354.84800276299[/C][C]114.610373338759[/C][/ROW]
[ROW][C]0.31[/C][C]3395.24935930721[/C][C]110.215725951113[/C][/ROW]
[ROW][C]0.32[/C][C]3433.38930093013[/C][C]103.994710634139[/C][/ROW]
[ROW][C]0.33[/C][C]3468.74036744029[/C][C]96.0570043879787[/C][/ROW]
[ROW][C]0.34[/C][C]3500.93178754032[/C][C]87.3246374282561[/C][/ROW]
[ROW][C]0.35[/C][C]3529.95182223649[/C][C]79.053906669336[/C][/ROW]
[ROW][C]0.36[/C][C]3556.21644835122[/C][C]72.485700116499[/C][/ROW]
[ROW][C]0.37[/C][C]3580.52557175136[/C][C]68.6741940445896[/C][/ROW]
[ROW][C]0.38[/C][C]3603.91846321825[/C][C]68.1726133198825[/C][/ROW]
[ROW][C]0.39[/C][C]3627.42329102876[/C][C]70.5445366882129[/C][/ROW]
[ROW][C]0.4[/C][C]3651.74700618456[/C][C]74.277010891399[/C][/ROW]
[ROW][C]0.41[/C][C]3677.03657341413[/C][C]77.350526978097[/C][/ROW]
[ROW][C]0.42[/C][C]3702.85885789689[/C][C]78.1616793841329[/C][/ROW]
[ROW][C]0.43[/C][C]3728.44870437197[/C][C]76.2799910816547[/C][/ROW]
[ROW][C]0.44[/C][C]3753.12142351539[/C][C]72.6600275026267[/C][/ROW]
[ROW][C]0.45[/C][C]3776.64123586922[/C][C]69.1862136373926[/C][/ROW]
[ROW][C]0.46[/C][C]3799.34934878509[/C][C]67.7213623291552[/C][/ROW]
[ROW][C]0.47[/C][C]3821.97920102707[/C][C]69.0211100366738[/C][/ROW]
[ROW][C]0.48[/C][C]3845.25367658816[/C][C]72.2595571944379[/C][/ROW]
[ROW][C]0.49[/C][C]3869.47676469278[/C][C]75.4656851121942[/C][/ROW]
[ROW][C]0.5[/C][C]3894.33509634456[/C][C]76.6003135231262[/C][/ROW]
[ROW][C]0.51[/C][C]3919.0146965107[/C][C]74.5497757894514[/C][/ROW]
[ROW][C]0.52[/C][C]3942.57892124621[/C][C]69.6480375207131[/C][/ROW]
[ROW][C]0.53[/C][C]3964.4274916168[/C][C]63.5899277023963[/C][/ROW]
[ROW][C]0.54[/C][C]3984.62137215977[/C][C]58.8151757967533[/C][/ROW]
[ROW][C]0.55[/C][C]4003.92693439477[/C][C]57.4661257451533[/C][/ROW]
[ROW][C]0.56[/C][C]4023.5717276163[/C][C]60.4672375662827[/C][/ROW]
[ROW][C]0.57[/C][C]4044.8420138518[/C][C]67.16801153555[/C][/ROW]
[ROW][C]0.58[/C][C]4068.71180507653[/C][C]75.9651692911698[/C][/ROW]
[ROW][C]0.59[/C][C]4095.64282230109[/C][C]85.1353294465295[/C][/ROW]
[ROW][C]0.6[/C][C]4125.57841612945[/C][C]93.2871993530874[/C][/ROW]
[ROW][C]0.61[/C][C]4158.05912136452[/C][C]99.5085428722025[/C][/ROW]
[ROW][C]0.62[/C][C]4192.37012851697[/C][C]103.286009839181[/C][/ROW]
[ROW][C]0.63[/C][C]4227.67614985197[/C][C]104.444937057803[/C][/ROW]
[ROW][C]0.64[/C][C]4263.14850601395[/C][C]103.202932889608[/C][/ROW]
[ROW][C]0.65[/C][C]4298.10225857956[/C][C]100.191080379636[/C][/ROW]
[ROW][C]0.66[/C][C]4332.14106012968[/C][C]96.4314962905059[/C][/ROW]
[ROW][C]0.67[/C][C]4365.27925773876[/C][C]93.2453346529372[/C][/ROW]
[ROW][C]0.68[/C][C]4397.99377588801[/C][C]92.0100660718994[/C][/ROW]
[ROW][C]0.69[/C][C]4431.15977195176[/C][C]93.6905978750098[/C][/ROW]
[ROW][C]0.7[/C][C]4465.84748471470[/C][C]98.448506817053[/C][/ROW]
[ROW][C]0.71[/C][C]4503.00845396453[/C][C]105.438479387622[/C][/ROW]
[ROW][C]0.72[/C][C]4543.15573364334[/C][C]112.939399054848[/C][/ROW]
[ROW][C]0.73[/C][C]4586.20430992868[/C][C]119.098411925963[/C][/ROW]
[ROW][C]0.74[/C][C]4631.59569943423[/C][C]122.929929858645[/C][/ROW]
[ROW][C]0.75[/C][C]4678.64195676498[/C][C]124.715438896356[/C][/ROW]
[ROW][C]0.76[/C][C]4726.82598484626[/C][C]125.368126281162[/C][/ROW]
[ROW][C]0.77[/C][C]4775.82669318983[/C][C]125.346952904287[/C][/ROW]
[ROW][C]0.78[/C][C]4825.32189761936[/C][C]124.26896916093[/C][/ROW]
[ROW][C]0.79[/C][C]4874.84138651553[/C][C]121.632795691914[/C][/ROW]
[ROW][C]0.8[/C][C]4923.82197518163[/C][C]117.483910322861[/C][/ROW]
[ROW][C]0.81[/C][C]4971.72464369294[/C][C]112.160838505703[/C][/ROW]
[ROW][C]0.82[/C][C]5017.99596633922[/C][C]105.609070088463[/C][/ROW]
[ROW][C]0.83[/C][C]5061.86049228631[/C][C]97.1808487360904[/C][/ROW]
[ROW][C]0.84[/C][C]5102.17563041847[/C][C]86.1040865655461[/C][/ROW]
[ROW][C]0.85[/C][C]5137.71231925276[/C][C]72.649077256538[/C][/ROW]
[ROW][C]0.86[/C][C]5168.12484043104[/C][C]59.6094581080204[/C][/ROW]
[ROW][C]0.87[/C][C]5195.24503497942[/C][C]52.6199937735912[/C][/ROW]
[ROW][C]0.88[/C][C]5223.36904735382[/C][C]56.6805895653301[/C][/ROW]
[ROW][C]0.89[/C][C]5257.2749302921[/C][C]69.1116187039413[/C][/ROW]
[ROW][C]0.9[/C][C]5298.99095461684[/C][C]80.619903144189[/C][/ROW]
[ROW][C]0.91[/C][C]5347.16558366323[/C][C]85.5116987316686[/C][/ROW]
[ROW][C]0.92[/C][C]5402.21219583141[/C][C]91.9873595571217[/C][/ROW]
[ROW][C]0.93[/C][C]5474.74859806874[/C][C]121.570661911383[/C][/ROW]
[ROW][C]0.94[/C][C]5587.68375460112[/C][C]185.360656762715[/C][/ROW]
[ROW][C]0.95[/C][C]5759.8944388515[/C][C]252.944238963107[/C][/ROW]
[ROW][C]0.96[/C][C]5976.67951053144[/C][C]264.383280850357[/C][/ROW]
[ROW][C]0.97[/C][C]6188.78267135168[/C][C]201.939555546924[/C][/ROW]
[ROW][C]0.98[/C][C]6392.48802006827[/C][C]164.071503877637[/C][/ROW]
[ROW][C]0.99[/C][C]6816.73595422891[/C][C]319.935977597511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39218&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39218&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011152.37635795488149.457324096618
0.021414.29466311412198.047286729501
0.031621.28763853261150.927430822420
0.041757.11146748979123.144402631647
0.051862.79974122687128.619308423185
0.061961.701543242134.770664182890
0.072054.99578523197133.450923045488
0.082138.96227089201123.142054086943
0.092210.68108112505108.116765398772
0.12270.8269324299996.5281979283139
0.112323.6334311999793.8619702402764
0.122373.7505386004997.0031348901556
0.132423.2400865797999.3576659710016
0.142471.8627910295399.5129315017781
0.152519.51854216985101.314938801456
0.162567.61265860692108.283569482906
0.172618.43371645904120.645652461520
0.182673.89122888676136.234173251168
0.192734.70345095619151.801285650750
0.22800.13210744736163.729027424697
0.212868.16417573838169.269615482224
0.222936.14784534524167.818999730876
0.233001.66748457639161.051243619511
0.243063.19621945815151.703716788706
0.253120.22983266737142.125115503179
0.263173.01452609908133.628004062315
0.273222.18357602509126.787153818479
0.283268.48603462524121.709034335716
0.293312.58202840753118.006908202767
0.33354.84800276299114.610373338759
0.313395.24935930721110.215725951113
0.323433.38930093013103.994710634139
0.333468.7403674402996.0570043879787
0.343500.9317875403287.3246374282561
0.353529.9518222364979.053906669336
0.363556.2164483512272.485700116499
0.373580.5255717513668.6741940445896
0.383603.9184632182568.1726133198825
0.393627.4232910287670.5445366882129
0.43651.7470061845674.277010891399
0.413677.0365734141377.350526978097
0.423702.8588578968978.1616793841329
0.433728.4487043719776.2799910816547
0.443753.1214235153972.6600275026267
0.453776.6412358692269.1862136373926
0.463799.3493487850967.7213623291552
0.473821.9792010270769.0211100366738
0.483845.2536765881672.2595571944379
0.493869.4767646927875.4656851121942
0.53894.3350963445676.6003135231262
0.513919.014696510774.5497757894514
0.523942.5789212462169.6480375207131
0.533964.427491616863.5899277023963
0.543984.6213721597758.8151757967533
0.554003.9269343947757.4661257451533
0.564023.571727616360.4672375662827
0.574044.842013851867.16801153555
0.584068.7118050765375.9651692911698
0.594095.6428223010985.1353294465295
0.64125.5784161294593.2871993530874
0.614158.0591213645299.5085428722025
0.624192.37012851697103.286009839181
0.634227.67614985197104.444937057803
0.644263.14850601395103.202932889608
0.654298.10225857956100.191080379636
0.664332.1410601296896.4314962905059
0.674365.2792577387693.2453346529372
0.684397.9937758880192.0100660718994
0.694431.1597719517693.6905978750098
0.74465.8474847147098.448506817053
0.714503.00845396453105.438479387622
0.724543.15573364334112.939399054848
0.734586.20430992868119.098411925963
0.744631.59569943423122.929929858645
0.754678.64195676498124.715438896356
0.764726.82598484626125.368126281162
0.774775.82669318983125.346952904287
0.784825.32189761936124.26896916093
0.794874.84138651553121.632795691914
0.84923.82197518163117.483910322861
0.814971.72464369294112.160838505703
0.825017.99596633922105.609070088463
0.835061.8604922863197.1808487360904
0.845102.1756304184786.1040865655461
0.855137.7123192527672.649077256538
0.865168.1248404310459.6094581080204
0.875195.2450349794252.6199937735912
0.885223.3690473538256.6805895653301
0.895257.274930292169.1116187039413
0.95298.9909546168480.619903144189
0.915347.1655836632385.5116987316686
0.925402.2121958314191.9873595571217
0.935474.74859806874121.570661911383
0.945587.68375460112185.360656762715
0.955759.8944388515252.944238963107
0.965976.67951053144264.383280850357
0.976188.78267135168201.939555546924
0.986392.48802006827164.071503877637
0.996816.73595422891319.935977597511



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')