FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 15 Aug 2016 16:23:08 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/15/t1471274646ie10g1ndbpul37d.htm/, Retrieved Sat, 27 Apr 2024 18:26:49 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 27 Apr 2024 18:26:49 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21571,00
21493,00
21422,00
21272,00
22747,00
22676,00
21571,00
20831,00
20909,00
20909,00
20980,00
21130,00
21051,00
21643,00
21864,00
21643,00
22455,00
21935,00
20759,00
20467,00
20467,00
20610,00
20026,00
20467,00
20097,00
20467,00
21051,00
21272,00
21792,00
21571,00
20246,00
19726,00
19506,00
19726,00
19363,00
19506,00
19064,00
19805,00
20168,00
20246,00
21643,00
21643,00
19805,00
19363,00
19363,00
19584,00
18622,00
18180,00
17668,00
17817,00
18480,00
17960,00
19363,00
19584,00
18180,00
17668,00
17375,00
17668,00
16855,00
16563,00
15388,00
15680,00
15751,00
15830,00
17226,00
17076,00
15388,00
14647,00
14355,00
14725,00
13322,00
12367,00
10601,00
10750,00
10750,00
10601,00
11854,00
11926,00
10451,00
10159,00
9568,00
10380,00
8905,00
8022,00
6333,00
6697,00
6255,00
6404,00
7509,00
7730,00
6996,00
6917,00
6917,00
7879,00
6184,00
5079,00
3163,00
4709,00
4488,00
4566,00
6333,00
6112,00
5300,00
5671,00
5671,00
6996,00
5450,00
4566,00
3163,00
5008,00
4859,00
4930,00
6476,00
6333,00
5813,00
5892,00
6255,00
7067,00
5813,00
4787,00

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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013411.71586460382521.650441480119
0.023894.94710503658624.170367014766
0.034316.59553187857391.976029319442
0.044572.01125335899233.061174585971
0.054724.64132374629203.00515534909
0.064843.46855079268225.113179404308
0.074960.25330228882263.367226797505
0.085084.70190500418304.521564528742
0.095217.48541690016337.783246837771
0.15355.08732823697355.871405507404
0.115492.30992873167357.921521592097
0.125624.40651617547348.357420794677
0.135748.37890256574333.170926171676
0.145863.15581807187316.841302220118
0.155969.10116254006301.851070948172
0.166067.50191750398290.183160139556
0.176160.35867921863284.731740401465
0.186250.39498274441289.314182767909
0.196341.04624367962307.401871917459
0.26436.29921244814340.904908102342
0.216540.43911208873390.409441594496
0.226657.84359978043456.192312631191
0.236792.89417265799539.012836081657
0.246949.93658989662639.723952237309
0.257133.13172407915757.996214643133
0.267346.06943088969890.76612445299
0.277591.158370907391031.53727061249
0.287868.974730550031170.94096250232
0.298177.855205124741298.57975701473
0.38513.990609194491405.83401200286
0.318872.115573728711488.397033842
0.329246.659188426551547.98277585605
0.339633.018490510231592.12142621107
0.3410028.53167044481631.87310933725
0.3510432.80435556671678.07202275037
0.3610847.25696952971737.24556891455
0.3711274.03227985051808.77178779913
0.3811714.62439619731885.06586601597
0.3912168.67925640361953.86878318521
0.412633.3431440532002.09341703858
0.4113103.33575471372019.51094495214
0.4213571.67949879122000.94375469616
0.4314030.81882111921947.24994009074
0.4414473.77745473641864.18329338433
0.4514895.04404528071760.56368783685
0.4615291.01445150241645.865068758
0.4715659.98853978861528.26223707004
0.4816001.85438594631413.56222513916
0.4916317.65071209721305.26711843573
0.516609.1728015631205.39651911911
0.5116878.70514617371115.22145278962
0.5217128.87033972451036.15326648535
0.5317362.5199409814969.404114203055
0.5417582.5817393242915.59541371554
0.5517791.8163508117873.919509505448
0.5617992.501095643841.707926415201
0.5718186.1187853826814.590157499582
0.5818373.1563832736787.425827314853
0.5918553.1013606968755.566667361159
0.618724.6681915948715.935581302413
0.6118886.2149441247667.760720875487
0.6219036.2476668745612.871584934982
0.6319173.8810541352554.921046187081
0.6419299.1374539136498.579428377705
0.6519413.0162076546448.49002881161
0.6619517.3325477561408.068330410697
0.6719614.3866788055378.865489810265
0.6819706.5611539302360.298411774738
0.6919795.9508511683350.170044479953
0.719884.1081804263345.300332163473
0.7119971.9467158839342.626346514703
0.7220059.8010669975339.772049958412
0.7320147.6000905237335.459218097192
0.7420235.0835596512329.445577033722
0.7520321.9867876725322.201264603882
0.7620408.1377942537314.513201689991
0.7720493.4540742971306.788694129866
0.7820577.8761424814298.878409970512
0.7920661.3086621656290.376747036267
0.820743.6343510653280.971781406705
0.8120824.8152768639270.991145550352
0.8220905.0223270275261.46283235317
0.8320984.680196346253.675778934009
0.8421064.3250488629248.082252336372
0.8521144.2588268888243.586149041212
0.8621224.1163031405237.512903567998
0.8721302.5691508968226.463549319805
0.8821377.4018660919207.986028616221
0.8921446.0774981776182.012076111391
0.921506.7172397747151.507902608635
0.9121559.2574633192122.16471681934
0.9221606.5090511001101.593854750868
0.9321654.965157619298.3082076568115
0.9421715.5450604839118.553309309904
0.9521804.6631670924165.731265470932
0.9621943.8563122191242.362957287958
0.9722149.5767457104326.963634292231
0.9822404.7133533068339.94675368616
0.9922634.8412443724209.744231676437

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3411.71586460382 & 521.650441480119 \tabularnewline
0.02 & 3894.94710503658 & 624.170367014766 \tabularnewline
0.03 & 4316.59553187857 & 391.976029319442 \tabularnewline
0.04 & 4572.01125335899 & 233.061174585971 \tabularnewline
0.05 & 4724.64132374629 & 203.00515534909 \tabularnewline
0.06 & 4843.46855079268 & 225.113179404308 \tabularnewline
0.07 & 4960.25330228882 & 263.367226797505 \tabularnewline
0.08 & 5084.70190500418 & 304.521564528742 \tabularnewline
0.09 & 5217.48541690016 & 337.783246837771 \tabularnewline
0.1 & 5355.08732823697 & 355.871405507404 \tabularnewline
0.11 & 5492.30992873167 & 357.921521592097 \tabularnewline
0.12 & 5624.40651617547 & 348.357420794677 \tabularnewline
0.13 & 5748.37890256574 & 333.170926171676 \tabularnewline
0.14 & 5863.15581807187 & 316.841302220118 \tabularnewline
0.15 & 5969.10116254006 & 301.851070948172 \tabularnewline
0.16 & 6067.50191750398 & 290.183160139556 \tabularnewline
0.17 & 6160.35867921863 & 284.731740401465 \tabularnewline
0.18 & 6250.39498274441 & 289.314182767909 \tabularnewline
0.19 & 6341.04624367962 & 307.401871917459 \tabularnewline
0.2 & 6436.29921244814 & 340.904908102342 \tabularnewline
0.21 & 6540.43911208873 & 390.409441594496 \tabularnewline
0.22 & 6657.84359978043 & 456.192312631191 \tabularnewline
0.23 & 6792.89417265799 & 539.012836081657 \tabularnewline
0.24 & 6949.93658989662 & 639.723952237309 \tabularnewline
0.25 & 7133.13172407915 & 757.996214643133 \tabularnewline
0.26 & 7346.06943088969 & 890.76612445299 \tabularnewline
0.27 & 7591.15837090739 & 1031.53727061249 \tabularnewline
0.28 & 7868.97473055003 & 1170.94096250232 \tabularnewline
0.29 & 8177.85520512474 & 1298.57975701473 \tabularnewline
0.3 & 8513.99060919449 & 1405.83401200286 \tabularnewline
0.31 & 8872.11557372871 & 1488.397033842 \tabularnewline
0.32 & 9246.65918842655 & 1547.98277585605 \tabularnewline
0.33 & 9633.01849051023 & 1592.12142621107 \tabularnewline
0.34 & 10028.5316704448 & 1631.87310933725 \tabularnewline
0.35 & 10432.8043555667 & 1678.07202275037 \tabularnewline
0.36 & 10847.2569695297 & 1737.24556891455 \tabularnewline
0.37 & 11274.0322798505 & 1808.77178779913 \tabularnewline
0.38 & 11714.6243961973 & 1885.06586601597 \tabularnewline
0.39 & 12168.6792564036 & 1953.86878318521 \tabularnewline
0.4 & 12633.343144053 & 2002.09341703858 \tabularnewline
0.41 & 13103.3357547137 & 2019.51094495214 \tabularnewline
0.42 & 13571.6794987912 & 2000.94375469616 \tabularnewline
0.43 & 14030.8188211192 & 1947.24994009074 \tabularnewline
0.44 & 14473.7774547364 & 1864.18329338433 \tabularnewline
0.45 & 14895.0440452807 & 1760.56368783685 \tabularnewline
0.46 & 15291.0144515024 & 1645.865068758 \tabularnewline
0.47 & 15659.9885397886 & 1528.26223707004 \tabularnewline
0.48 & 16001.8543859463 & 1413.56222513916 \tabularnewline
0.49 & 16317.6507120972 & 1305.26711843573 \tabularnewline
0.5 & 16609.172801563 & 1205.39651911911 \tabularnewline
0.51 & 16878.7051461737 & 1115.22145278962 \tabularnewline
0.52 & 17128.8703397245 & 1036.15326648535 \tabularnewline
0.53 & 17362.5199409814 & 969.404114203055 \tabularnewline
0.54 & 17582.5817393242 & 915.59541371554 \tabularnewline
0.55 & 17791.8163508117 & 873.919509505448 \tabularnewline
0.56 & 17992.501095643 & 841.707926415201 \tabularnewline
0.57 & 18186.1187853826 & 814.590157499582 \tabularnewline
0.58 & 18373.1563832736 & 787.425827314853 \tabularnewline
0.59 & 18553.1013606968 & 755.566667361159 \tabularnewline
0.6 & 18724.6681915948 & 715.935581302413 \tabularnewline
0.61 & 18886.2149441247 & 667.760720875487 \tabularnewline
0.62 & 19036.2476668745 & 612.871584934982 \tabularnewline
0.63 & 19173.8810541352 & 554.921046187081 \tabularnewline
0.64 & 19299.1374539136 & 498.579428377705 \tabularnewline
0.65 & 19413.0162076546 & 448.49002881161 \tabularnewline
0.66 & 19517.3325477561 & 408.068330410697 \tabularnewline
0.67 & 19614.3866788055 & 378.865489810265 \tabularnewline
0.68 & 19706.5611539302 & 360.298411774738 \tabularnewline
0.69 & 19795.9508511683 & 350.170044479953 \tabularnewline
0.7 & 19884.1081804263 & 345.300332163473 \tabularnewline
0.71 & 19971.9467158839 & 342.626346514703 \tabularnewline
0.72 & 20059.8010669975 & 339.772049958412 \tabularnewline
0.73 & 20147.6000905237 & 335.459218097192 \tabularnewline
0.74 & 20235.0835596512 & 329.445577033722 \tabularnewline
0.75 & 20321.9867876725 & 322.201264603882 \tabularnewline
0.76 & 20408.1377942537 & 314.513201689991 \tabularnewline
0.77 & 20493.4540742971 & 306.788694129866 \tabularnewline
0.78 & 20577.8761424814 & 298.878409970512 \tabularnewline
0.79 & 20661.3086621656 & 290.376747036267 \tabularnewline
0.8 & 20743.6343510653 & 280.971781406705 \tabularnewline
0.81 & 20824.8152768639 & 270.991145550352 \tabularnewline
0.82 & 20905.0223270275 & 261.46283235317 \tabularnewline
0.83 & 20984.680196346 & 253.675778934009 \tabularnewline
0.84 & 21064.3250488629 & 248.082252336372 \tabularnewline
0.85 & 21144.2588268888 & 243.586149041212 \tabularnewline
0.86 & 21224.1163031405 & 237.512903567998 \tabularnewline
0.87 & 21302.5691508968 & 226.463549319805 \tabularnewline
0.88 & 21377.4018660919 & 207.986028616221 \tabularnewline
0.89 & 21446.0774981776 & 182.012076111391 \tabularnewline
0.9 & 21506.7172397747 & 151.507902608635 \tabularnewline
0.91 & 21559.2574633192 & 122.16471681934 \tabularnewline
0.92 & 21606.5090511001 & 101.593854750868 \tabularnewline
0.93 & 21654.9651576192 & 98.3082076568115 \tabularnewline
0.94 & 21715.5450604839 & 118.553309309904 \tabularnewline
0.95 & 21804.6631670924 & 165.731265470932 \tabularnewline
0.96 & 21943.8563122191 & 242.362957287958 \tabularnewline
0.97 & 22149.5767457104 & 326.963634292231 \tabularnewline
0.98 & 22404.7133533068 & 339.94675368616 \tabularnewline
0.99 & 22634.8412443724 & 209.744231676437 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]3411.71586460382[/C][C]521.650441480119[/C][/ROW]
[ROW][C]0.02[/C][C]3894.94710503658[/C][C]624.170367014766[/C][/ROW]
[ROW][C]0.03[/C][C]4316.59553187857[/C][C]391.976029319442[/C][/ROW]
[ROW][C]0.04[/C][C]4572.01125335899[/C][C]233.061174585971[/C][/ROW]
[ROW][C]0.05[/C][C]4724.64132374629[/C][C]203.00515534909[/C][/ROW]
[ROW][C]0.06[/C][C]4843.46855079268[/C][C]225.113179404308[/C][/ROW]
[ROW][C]0.07[/C][C]4960.25330228882[/C][C]263.367226797505[/C][/ROW]
[ROW][C]0.08[/C][C]5084.70190500418[/C][C]304.521564528742[/C][/ROW]
[ROW][C]0.09[/C][C]5217.48541690016[/C][C]337.783246837771[/C][/ROW]
[ROW][C]0.1[/C][C]5355.08732823697[/C][C]355.871405507404[/C][/ROW]
[ROW][C]0.11[/C][C]5492.30992873167[/C][C]357.921521592097[/C][/ROW]
[ROW][C]0.12[/C][C]5624.40651617547[/C][C]348.357420794677[/C][/ROW]
[ROW][C]0.13[/C][C]5748.37890256574[/C][C]333.170926171676[/C][/ROW]
[ROW][C]0.14[/C][C]5863.15581807187[/C][C]316.841302220118[/C][/ROW]
[ROW][C]0.15[/C][C]5969.10116254006[/C][C]301.851070948172[/C][/ROW]
[ROW][C]0.16[/C][C]6067.50191750398[/C][C]290.183160139556[/C][/ROW]
[ROW][C]0.17[/C][C]6160.35867921863[/C][C]284.731740401465[/C][/ROW]
[ROW][C]0.18[/C][C]6250.39498274441[/C][C]289.314182767909[/C][/ROW]
[ROW][C]0.19[/C][C]6341.04624367962[/C][C]307.401871917459[/C][/ROW]
[ROW][C]0.2[/C][C]6436.29921244814[/C][C]340.904908102342[/C][/ROW]
[ROW][C]0.21[/C][C]6540.43911208873[/C][C]390.409441594496[/C][/ROW]
[ROW][C]0.22[/C][C]6657.84359978043[/C][C]456.192312631191[/C][/ROW]
[ROW][C]0.23[/C][C]6792.89417265799[/C][C]539.012836081657[/C][/ROW]
[ROW][C]0.24[/C][C]6949.93658989662[/C][C]639.723952237309[/C][/ROW]
[ROW][C]0.25[/C][C]7133.13172407915[/C][C]757.996214643133[/C][/ROW]
[ROW][C]0.26[/C][C]7346.06943088969[/C][C]890.76612445299[/C][/ROW]
[ROW][C]0.27[/C][C]7591.15837090739[/C][C]1031.53727061249[/C][/ROW]
[ROW][C]0.28[/C][C]7868.97473055003[/C][C]1170.94096250232[/C][/ROW]
[ROW][C]0.29[/C][C]8177.85520512474[/C][C]1298.57975701473[/C][/ROW]
[ROW][C]0.3[/C][C]8513.99060919449[/C][C]1405.83401200286[/C][/ROW]
[ROW][C]0.31[/C][C]8872.11557372871[/C][C]1488.397033842[/C][/ROW]
[ROW][C]0.32[/C][C]9246.65918842655[/C][C]1547.98277585605[/C][/ROW]
[ROW][C]0.33[/C][C]9633.01849051023[/C][C]1592.12142621107[/C][/ROW]
[ROW][C]0.34[/C][C]10028.5316704448[/C][C]1631.87310933725[/C][/ROW]
[ROW][C]0.35[/C][C]10432.8043555667[/C][C]1678.07202275037[/C][/ROW]
[ROW][C]0.36[/C][C]10847.2569695297[/C][C]1737.24556891455[/C][/ROW]
[ROW][C]0.37[/C][C]11274.0322798505[/C][C]1808.77178779913[/C][/ROW]
[ROW][C]0.38[/C][C]11714.6243961973[/C][C]1885.06586601597[/C][/ROW]
[ROW][C]0.39[/C][C]12168.6792564036[/C][C]1953.86878318521[/C][/ROW]
[ROW][C]0.4[/C][C]12633.343144053[/C][C]2002.09341703858[/C][/ROW]
[ROW][C]0.41[/C][C]13103.3357547137[/C][C]2019.51094495214[/C][/ROW]
[ROW][C]0.42[/C][C]13571.6794987912[/C][C]2000.94375469616[/C][/ROW]
[ROW][C]0.43[/C][C]14030.8188211192[/C][C]1947.24994009074[/C][/ROW]
[ROW][C]0.44[/C][C]14473.7774547364[/C][C]1864.18329338433[/C][/ROW]
[ROW][C]0.45[/C][C]14895.0440452807[/C][C]1760.56368783685[/C][/ROW]
[ROW][C]0.46[/C][C]15291.0144515024[/C][C]1645.865068758[/C][/ROW]
[ROW][C]0.47[/C][C]15659.9885397886[/C][C]1528.26223707004[/C][/ROW]
[ROW][C]0.48[/C][C]16001.8543859463[/C][C]1413.56222513916[/C][/ROW]
[ROW][C]0.49[/C][C]16317.6507120972[/C][C]1305.26711843573[/C][/ROW]
[ROW][C]0.5[/C][C]16609.172801563[/C][C]1205.39651911911[/C][/ROW]
[ROW][C]0.51[/C][C]16878.7051461737[/C][C]1115.22145278962[/C][/ROW]
[ROW][C]0.52[/C][C]17128.8703397245[/C][C]1036.15326648535[/C][/ROW]
[ROW][C]0.53[/C][C]17362.5199409814[/C][C]969.404114203055[/C][/ROW]
[ROW][C]0.54[/C][C]17582.5817393242[/C][C]915.59541371554[/C][/ROW]
[ROW][C]0.55[/C][C]17791.8163508117[/C][C]873.919509505448[/C][/ROW]
[ROW][C]0.56[/C][C]17992.501095643[/C][C]841.707926415201[/C][/ROW]
[ROW][C]0.57[/C][C]18186.1187853826[/C][C]814.590157499582[/C][/ROW]
[ROW][C]0.58[/C][C]18373.1563832736[/C][C]787.425827314853[/C][/ROW]
[ROW][C]0.59[/C][C]18553.1013606968[/C][C]755.566667361159[/C][/ROW]
[ROW][C]0.6[/C][C]18724.6681915948[/C][C]715.935581302413[/C][/ROW]
[ROW][C]0.61[/C][C]18886.2149441247[/C][C]667.760720875487[/C][/ROW]
[ROW][C]0.62[/C][C]19036.2476668745[/C][C]612.871584934982[/C][/ROW]
[ROW][C]0.63[/C][C]19173.8810541352[/C][C]554.921046187081[/C][/ROW]
[ROW][C]0.64[/C][C]19299.1374539136[/C][C]498.579428377705[/C][/ROW]
[ROW][C]0.65[/C][C]19413.0162076546[/C][C]448.49002881161[/C][/ROW]
[ROW][C]0.66[/C][C]19517.3325477561[/C][C]408.068330410697[/C][/ROW]
[ROW][C]0.67[/C][C]19614.3866788055[/C][C]378.865489810265[/C][/ROW]
[ROW][C]0.68[/C][C]19706.5611539302[/C][C]360.298411774738[/C][/ROW]
[ROW][C]0.69[/C][C]19795.9508511683[/C][C]350.170044479953[/C][/ROW]
[ROW][C]0.7[/C][C]19884.1081804263[/C][C]345.300332163473[/C][/ROW]
[ROW][C]0.71[/C][C]19971.9467158839[/C][C]342.626346514703[/C][/ROW]
[ROW][C]0.72[/C][C]20059.8010669975[/C][C]339.772049958412[/C][/ROW]
[ROW][C]0.73[/C][C]20147.6000905237[/C][C]335.459218097192[/C][/ROW]
[ROW][C]0.74[/C][C]20235.0835596512[/C][C]329.445577033722[/C][/ROW]
[ROW][C]0.75[/C][C]20321.9867876725[/C][C]322.201264603882[/C][/ROW]
[ROW][C]0.76[/C][C]20408.1377942537[/C][C]314.513201689991[/C][/ROW]
[ROW][C]0.77[/C][C]20493.4540742971[/C][C]306.788694129866[/C][/ROW]
[ROW][C]0.78[/C][C]20577.8761424814[/C][C]298.878409970512[/C][/ROW]
[ROW][C]0.79[/C][C]20661.3086621656[/C][C]290.376747036267[/C][/ROW]
[ROW][C]0.8[/C][C]20743.6343510653[/C][C]280.971781406705[/C][/ROW]
[ROW][C]0.81[/C][C]20824.8152768639[/C][C]270.991145550352[/C][/ROW]
[ROW][C]0.82[/C][C]20905.0223270275[/C][C]261.46283235317[/C][/ROW]
[ROW][C]0.83[/C][C]20984.680196346[/C][C]253.675778934009[/C][/ROW]
[ROW][C]0.84[/C][C]21064.3250488629[/C][C]248.082252336372[/C][/ROW]
[ROW][C]0.85[/C][C]21144.2588268888[/C][C]243.586149041212[/C][/ROW]
[ROW][C]0.86[/C][C]21224.1163031405[/C][C]237.512903567998[/C][/ROW]
[ROW][C]0.87[/C][C]21302.5691508968[/C][C]226.463549319805[/C][/ROW]
[ROW][C]0.88[/C][C]21377.4018660919[/C][C]207.986028616221[/C][/ROW]
[ROW][C]0.89[/C][C]21446.0774981776[/C][C]182.012076111391[/C][/ROW]
[ROW][C]0.9[/C][C]21506.7172397747[/C][C]151.507902608635[/C][/ROW]
[ROW][C]0.91[/C][C]21559.2574633192[/C][C]122.16471681934[/C][/ROW]
[ROW][C]0.92[/C][C]21606.5090511001[/C][C]101.593854750868[/C][/ROW]
[ROW][C]0.93[/C][C]21654.9651576192[/C][C]98.3082076568115[/C][/ROW]
[ROW][C]0.94[/C][C]21715.5450604839[/C][C]118.553309309904[/C][/ROW]
[ROW][C]0.95[/C][C]21804.6631670924[/C][C]165.731265470932[/C][/ROW]
[ROW][C]0.96[/C][C]21943.8563122191[/C][C]242.362957287958[/C][/ROW]
[ROW][C]0.97[/C][C]22149.5767457104[/C][C]326.963634292231[/C][/ROW]
[ROW][C]0.98[/C][C]22404.7133533068[/C][C]339.94675368616[/C][/ROW]
[ROW][C]0.99[/C][C]22634.8412443724[/C][C]209.744231676437[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.013411.71586460382521.650441480119
0.023894.94710503658624.170367014766
0.034316.59553187857391.976029319442
0.044572.01125335899233.061174585971
0.054724.64132374629203.00515534909
0.064843.46855079268225.113179404308
0.074960.25330228882263.367226797505
0.085084.70190500418304.521564528742
0.095217.48541690016337.783246837771
0.15355.08732823697355.871405507404
0.115492.30992873167357.921521592097
0.125624.40651617547348.357420794677
0.135748.37890256574333.170926171676
0.145863.15581807187316.841302220118
0.155969.10116254006301.851070948172
0.166067.50191750398290.183160139556
0.176160.35867921863284.731740401465
0.186250.39498274441289.314182767909
0.196341.04624367962307.401871917459
0.26436.29921244814340.904908102342
0.216540.43911208873390.409441594496
0.226657.84359978043456.192312631191
0.236792.89417265799539.012836081657
0.246949.93658989662639.723952237309
0.257133.13172407915757.996214643133
0.267346.06943088969890.76612445299
0.277591.158370907391031.53727061249
0.287868.974730550031170.94096250232
0.298177.855205124741298.57975701473
0.38513.990609194491405.83401200286
0.318872.115573728711488.397033842
0.329246.659188426551547.98277585605
0.339633.018490510231592.12142621107
0.3410028.53167044481631.87310933725
0.3510432.80435556671678.07202275037
0.3610847.25696952971737.24556891455
0.3711274.03227985051808.77178779913
0.3811714.62439619731885.06586601597
0.3912168.67925640361953.86878318521
0.412633.3431440532002.09341703858
0.4113103.33575471372019.51094495214
0.4213571.67949879122000.94375469616
0.4314030.81882111921947.24994009074
0.4414473.77745473641864.18329338433
0.4514895.04404528071760.56368783685
0.4615291.01445150241645.865068758
0.4715659.98853978861528.26223707004
0.4816001.85438594631413.56222513916
0.4916317.65071209721305.26711843573
0.516609.1728015631205.39651911911
0.5116878.70514617371115.22145278962
0.5217128.87033972451036.15326648535
0.5317362.5199409814969.404114203055
0.5417582.5817393242915.59541371554
0.5517791.8163508117873.919509505448
0.5617992.501095643841.707926415201
0.5718186.1187853826814.590157499582
0.5818373.1563832736787.425827314853
0.5918553.1013606968755.566667361159
0.618724.6681915948715.935581302413
0.6118886.2149441247667.760720875487
0.6219036.2476668745612.871584934982
0.6319173.8810541352554.921046187081
0.6419299.1374539136498.579428377705
0.6519413.0162076546448.49002881161
0.6619517.3325477561408.068330410697
0.6719614.3866788055378.865489810265
0.6819706.5611539302360.298411774738
0.6919795.9508511683350.170044479953
0.719884.1081804263345.300332163473
0.7119971.9467158839342.626346514703
0.7220059.8010669975339.772049958412
0.7320147.6000905237335.459218097192
0.7420235.0835596512329.445577033722
0.7520321.9867876725322.201264603882
0.7620408.1377942537314.513201689991
0.7720493.4540742971306.788694129866
0.7820577.8761424814298.878409970512
0.7920661.3086621656290.376747036267
0.820743.6343510653280.971781406705
0.8120824.8152768639270.991145550352
0.8220905.0223270275261.46283235317
0.8320984.680196346253.675778934009
0.8421064.3250488629248.082252336372
0.8521144.2588268888243.586149041212
0.8621224.1163031405237.512903567998
0.8721302.5691508968226.463549319805
0.8821377.4018660919207.986028616221
0.8921446.0774981776182.012076111391
0.921506.7172397747151.507902608635
0.9121559.2574633192122.16471681934
0.9221606.5090511001101.593854750868
0.9321654.965157619298.3082076568115
0.9421715.5450604839118.553309309904
0.9521804.6631670924165.731265470932
0.9621943.8563122191242.362957287958
0.9722149.5767457104326.963634292231
0.9822404.7133533068339.94675368616
0.9922634.8412443724209.744231676437


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')