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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 computationTue, 21 Feb 2012 11:27:38 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/21/t13298416912tcom604gd71oda.htm/, Retrieved Fri, 03 May 2024 23:09:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162967, Retrieved Fri, 03 May 2024 23:09:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [] [2011-03-01 09:53:34] [3ce445e32ec84321dd80fa740118a851]
-    D    [Harrell-Davis Quantiles] [] [2012-02-21 16:27:38] [e9055fb3c64f4ec827f818bb591f77b7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9676
8642
9402
9610
9294
9448
10319
9548
9801
9596
8923
9746
9829
9125
9782
9441
9162
9915
10444
10209
9985
9842
9429
10132
9849
9172
10313
9819
9955
10048
10082
10541
10208
10233
9439
9963
10158
9225
10474
9757
10490
10281
10444
10640
10695
10786
9832
9747
10411
9511
10402
9701
10540
10112
10915
11183
10384
10834
9886
10216
10943
9867
10203
10837
10573
10647
11502
10656
10866
10835
9945
10331
9769
9321
9939
9336
10195
9464
10010
10213
9563
9890
9305
9391
9928
8686
9843
9627
10074
9503
10119
10000
9313
9866
9172
9241

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162967&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162967&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162967&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018697.10565360179121.306884412925
0.028805.57096650376187.403032515381
0.038928.44260727747184.021061303686
0.049032.70232479408142.019713253034
0.059107.5600159629899.5100206244714
0.069158.0222645840973.6715744555229
0.079193.606486771464.0027361458964
0.089221.8102081836662.343528038767
0.099246.6928954622762.4194124860964
0.19269.8664899319762.0949870129402
0.119291.8148194997761.4440517863409
0.129312.7210913498361.1415861521661
0.139332.7680769422361.3824790200238
0.149352.1489671890861.9478093027392
0.159371.0113995811862.4408651859739
0.169389.4449325376762.7505693561951
0.179407.5218396854763.1046200854122
0.189425.3523203765863.9372465266801
0.199443.1144284883565.6712257489202
0.29461.0430213758468.5417025655512
0.219479.3870582637772.3988050064177
0.229498.3570677933476.9124054711591
0.239518.0829721830781.634327337273
0.249538.5926969086386.1283791019805
0.259559.8116264459189.9964362820326
0.269581.5767909902892.9167080663709
0.279603.6585789281694.6914168138416
0.289625.7848956489195.1456848081576
0.299647.6654101598894.2559693422021
0.39669.0150721309292.0408163787839
0.319689.5761011957188.6381682955466
0.329709.1368937843284.3275497651474
0.339727.5458014730179.3799547883009
0.349744.7181386886574.1222467322933
0.359760.6360116621468.8435288342639
0.369775.3420376985963.8438440503103
0.379788.9290599621959.3400088995528
0.389801.5281709185555.4313572644129
0.399813.2968079104652.2663201996599
0.49824.4077953839749.915369342443
0.419835.0394757054948.3637226983822
0.429845.3668055492547.6216487971092
0.439855.5535005237947.6203599655898
0.449865.7457306811848.2305440030874
0.459876.0681540152649.3631466217272
0.469886.6229658789850.8691028379373
0.479897.4920913111652.6529863043675
0.489908.7418283085254.6786352392367
0.499920.428475462156.8993437830739
0.59932.6030649900359.337650324298
0.519945.3134681705461.9973583310594
0.529958.6028430170564.8448078516583
0.539972.5044541190767.8163844688276
0.549987.0339866401270.8095283342287
0.5510002.18126805573.6919541900833
0.5610017.903582959476.2420319869528
0.5710034.122486794878.280107464715
0.5810050.725347038279.6565694096087
0.5910067.572020826980.2489550065917
0.610084.506346716980.0106504552098
0.6110101.371581778878.9685996344551
0.6210118.028485721777.2539361691135
0.6310134.374284951175.0547910396994
0.6410150.36014720772.671398678686
0.6510166.004170838470.422441711341
0.6610181.396588079268.7238875472702
0.6710196.694354096167.8687108713554
0.6810212.103852793768.0775354190608
0.6910227.853004614369.4303844885114
0.710244.157016192171.7269831443137
0.7110261.184417419374.6118096576852
0.7210279.030945455477.6874867783092
0.7310297.707729175180.4699117237843
0.7410317.14723528682.6420806232938
0.7510337.226317538383.967725604271
0.7610357.801561102184.468252100141
0.7710378.749007059684.2865039258891
0.7810399.999058687583.7549607497563
0.7910421.558314408783.2351441497336
0.810443.513276590183.0782173024121
0.8110466.015969208583.5112313286212
0.8210489.257428691484.5710850527064
0.8310513.439756355986.1693362310874
0.8410538.757755265888.1104930873965
0.8510565.393835923390.2604732801242
0.8610593.514542194492.5269999496433
0.8710623.240900964694.8642716395592
0.8810654.564544222296.9152501211724
0.8910687.215951717297.8086454423243
0.910720.560802020496.1965465021803
0.9110753.667211137490.9045689700809
0.9210785.685498878182.0551312072118
0.9310816.590645995771.9817177329371
0.9410848.256690432465.4767922338752
0.9510885.914819074769.4877580984563
0.9610940.127387640292.0945449657508
0.9711028.3653410666138.546127386566
0.9811169.9724186262202.78973594676
0.9911356.9559685882268.593310079389

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8697.10565360179 & 121.306884412925 \tabularnewline
0.02 & 8805.57096650376 & 187.403032515381 \tabularnewline
0.03 & 8928.44260727747 & 184.021061303686 \tabularnewline
0.04 & 9032.70232479408 & 142.019713253034 \tabularnewline
0.05 & 9107.56001596298 & 99.5100206244714 \tabularnewline
0.06 & 9158.02226458409 & 73.6715744555229 \tabularnewline
0.07 & 9193.6064867714 & 64.0027361458964 \tabularnewline
0.08 & 9221.81020818366 & 62.343528038767 \tabularnewline
0.09 & 9246.69289546227 & 62.4194124860964 \tabularnewline
0.1 & 9269.86648993197 & 62.0949870129402 \tabularnewline
0.11 & 9291.81481949977 & 61.4440517863409 \tabularnewline
0.12 & 9312.72109134983 & 61.1415861521661 \tabularnewline
0.13 & 9332.76807694223 & 61.3824790200238 \tabularnewline
0.14 & 9352.14896718908 & 61.9478093027392 \tabularnewline
0.15 & 9371.01139958118 & 62.4408651859739 \tabularnewline
0.16 & 9389.44493253767 & 62.7505693561951 \tabularnewline
0.17 & 9407.52183968547 & 63.1046200854122 \tabularnewline
0.18 & 9425.35232037658 & 63.9372465266801 \tabularnewline
0.19 & 9443.11442848835 & 65.6712257489202 \tabularnewline
0.2 & 9461.04302137584 & 68.5417025655512 \tabularnewline
0.21 & 9479.38705826377 & 72.3988050064177 \tabularnewline
0.22 & 9498.35706779334 & 76.9124054711591 \tabularnewline
0.23 & 9518.08297218307 & 81.634327337273 \tabularnewline
0.24 & 9538.59269690863 & 86.1283791019805 \tabularnewline
0.25 & 9559.81162644591 & 89.9964362820326 \tabularnewline
0.26 & 9581.57679099028 & 92.9167080663709 \tabularnewline
0.27 & 9603.65857892816 & 94.6914168138416 \tabularnewline
0.28 & 9625.78489564891 & 95.1456848081576 \tabularnewline
0.29 & 9647.66541015988 & 94.2559693422021 \tabularnewline
0.3 & 9669.01507213092 & 92.0408163787839 \tabularnewline
0.31 & 9689.57610119571 & 88.6381682955466 \tabularnewline
0.32 & 9709.13689378432 & 84.3275497651474 \tabularnewline
0.33 & 9727.54580147301 & 79.3799547883009 \tabularnewline
0.34 & 9744.71813868865 & 74.1222467322933 \tabularnewline
0.35 & 9760.63601166214 & 68.8435288342639 \tabularnewline
0.36 & 9775.34203769859 & 63.8438440503103 \tabularnewline
0.37 & 9788.92905996219 & 59.3400088995528 \tabularnewline
0.38 & 9801.52817091855 & 55.4313572644129 \tabularnewline
0.39 & 9813.29680791046 & 52.2663201996599 \tabularnewline
0.4 & 9824.40779538397 & 49.915369342443 \tabularnewline
0.41 & 9835.03947570549 & 48.3637226983822 \tabularnewline
0.42 & 9845.36680554925 & 47.6216487971092 \tabularnewline
0.43 & 9855.55350052379 & 47.6203599655898 \tabularnewline
0.44 & 9865.74573068118 & 48.2305440030874 \tabularnewline
0.45 & 9876.06815401526 & 49.3631466217272 \tabularnewline
0.46 & 9886.62296587898 & 50.8691028379373 \tabularnewline
0.47 & 9897.49209131116 & 52.6529863043675 \tabularnewline
0.48 & 9908.74182830852 & 54.6786352392367 \tabularnewline
0.49 & 9920.4284754621 & 56.8993437830739 \tabularnewline
0.5 & 9932.60306499003 & 59.337650324298 \tabularnewline
0.51 & 9945.31346817054 & 61.9973583310594 \tabularnewline
0.52 & 9958.60284301705 & 64.8448078516583 \tabularnewline
0.53 & 9972.50445411907 & 67.8163844688276 \tabularnewline
0.54 & 9987.03398664012 & 70.8095283342287 \tabularnewline
0.55 & 10002.181268055 & 73.6919541900833 \tabularnewline
0.56 & 10017.9035829594 & 76.2420319869528 \tabularnewline
0.57 & 10034.1224867948 & 78.280107464715 \tabularnewline
0.58 & 10050.7253470382 & 79.6565694096087 \tabularnewline
0.59 & 10067.5720208269 & 80.2489550065917 \tabularnewline
0.6 & 10084.5063467169 & 80.0106504552098 \tabularnewline
0.61 & 10101.3715817788 & 78.9685996344551 \tabularnewline
0.62 & 10118.0284857217 & 77.2539361691135 \tabularnewline
0.63 & 10134.3742849511 & 75.0547910396994 \tabularnewline
0.64 & 10150.360147207 & 72.671398678686 \tabularnewline
0.65 & 10166.0041708384 & 70.422441711341 \tabularnewline
0.66 & 10181.3965880792 & 68.7238875472702 \tabularnewline
0.67 & 10196.6943540961 & 67.8687108713554 \tabularnewline
0.68 & 10212.1038527937 & 68.0775354190608 \tabularnewline
0.69 & 10227.8530046143 & 69.4303844885114 \tabularnewline
0.7 & 10244.1570161921 & 71.7269831443137 \tabularnewline
0.71 & 10261.1844174193 & 74.6118096576852 \tabularnewline
0.72 & 10279.0309454554 & 77.6874867783092 \tabularnewline
0.73 & 10297.7077291751 & 80.4699117237843 \tabularnewline
0.74 & 10317.147235286 & 82.6420806232938 \tabularnewline
0.75 & 10337.2263175383 & 83.967725604271 \tabularnewline
0.76 & 10357.8015611021 & 84.468252100141 \tabularnewline
0.77 & 10378.7490070596 & 84.2865039258891 \tabularnewline
0.78 & 10399.9990586875 & 83.7549607497563 \tabularnewline
0.79 & 10421.5583144087 & 83.2351441497336 \tabularnewline
0.8 & 10443.5132765901 & 83.0782173024121 \tabularnewline
0.81 & 10466.0159692085 & 83.5112313286212 \tabularnewline
0.82 & 10489.2574286914 & 84.5710850527064 \tabularnewline
0.83 & 10513.4397563559 & 86.1693362310874 \tabularnewline
0.84 & 10538.7577552658 & 88.1104930873965 \tabularnewline
0.85 & 10565.3938359233 & 90.2604732801242 \tabularnewline
0.86 & 10593.5145421944 & 92.5269999496433 \tabularnewline
0.87 & 10623.2409009646 & 94.8642716395592 \tabularnewline
0.88 & 10654.5645442222 & 96.9152501211724 \tabularnewline
0.89 & 10687.2159517172 & 97.8086454423243 \tabularnewline
0.9 & 10720.5608020204 & 96.1965465021803 \tabularnewline
0.91 & 10753.6672111374 & 90.9045689700809 \tabularnewline
0.92 & 10785.6854988781 & 82.0551312072118 \tabularnewline
0.93 & 10816.5906459957 & 71.9817177329371 \tabularnewline
0.94 & 10848.2566904324 & 65.4767922338752 \tabularnewline
0.95 & 10885.9148190747 & 69.4877580984563 \tabularnewline
0.96 & 10940.1273876402 & 92.0945449657508 \tabularnewline
0.97 & 11028.3653410666 & 138.546127386566 \tabularnewline
0.98 & 11169.9724186262 & 202.78973594676 \tabularnewline
0.99 & 11356.9559685882 & 268.593310079389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162967&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]8697.10565360179[/C][C]121.306884412925[/C][/ROW]
[ROW][C]0.02[/C][C]8805.57096650376[/C][C]187.403032515381[/C][/ROW]
[ROW][C]0.03[/C][C]8928.44260727747[/C][C]184.021061303686[/C][/ROW]
[ROW][C]0.04[/C][C]9032.70232479408[/C][C]142.019713253034[/C][/ROW]
[ROW][C]0.05[/C][C]9107.56001596298[/C][C]99.5100206244714[/C][/ROW]
[ROW][C]0.06[/C][C]9158.02226458409[/C][C]73.6715744555229[/C][/ROW]
[ROW][C]0.07[/C][C]9193.6064867714[/C][C]64.0027361458964[/C][/ROW]
[ROW][C]0.08[/C][C]9221.81020818366[/C][C]62.343528038767[/C][/ROW]
[ROW][C]0.09[/C][C]9246.69289546227[/C][C]62.4194124860964[/C][/ROW]
[ROW][C]0.1[/C][C]9269.86648993197[/C][C]62.0949870129402[/C][/ROW]
[ROW][C]0.11[/C][C]9291.81481949977[/C][C]61.4440517863409[/C][/ROW]
[ROW][C]0.12[/C][C]9312.72109134983[/C][C]61.1415861521661[/C][/ROW]
[ROW][C]0.13[/C][C]9332.76807694223[/C][C]61.3824790200238[/C][/ROW]
[ROW][C]0.14[/C][C]9352.14896718908[/C][C]61.9478093027392[/C][/ROW]
[ROW][C]0.15[/C][C]9371.01139958118[/C][C]62.4408651859739[/C][/ROW]
[ROW][C]0.16[/C][C]9389.44493253767[/C][C]62.7505693561951[/C][/ROW]
[ROW][C]0.17[/C][C]9407.52183968547[/C][C]63.1046200854122[/C][/ROW]
[ROW][C]0.18[/C][C]9425.35232037658[/C][C]63.9372465266801[/C][/ROW]
[ROW][C]0.19[/C][C]9443.11442848835[/C][C]65.6712257489202[/C][/ROW]
[ROW][C]0.2[/C][C]9461.04302137584[/C][C]68.5417025655512[/C][/ROW]
[ROW][C]0.21[/C][C]9479.38705826377[/C][C]72.3988050064177[/C][/ROW]
[ROW][C]0.22[/C][C]9498.35706779334[/C][C]76.9124054711591[/C][/ROW]
[ROW][C]0.23[/C][C]9518.08297218307[/C][C]81.634327337273[/C][/ROW]
[ROW][C]0.24[/C][C]9538.59269690863[/C][C]86.1283791019805[/C][/ROW]
[ROW][C]0.25[/C][C]9559.81162644591[/C][C]89.9964362820326[/C][/ROW]
[ROW][C]0.26[/C][C]9581.57679099028[/C][C]92.9167080663709[/C][/ROW]
[ROW][C]0.27[/C][C]9603.65857892816[/C][C]94.6914168138416[/C][/ROW]
[ROW][C]0.28[/C][C]9625.78489564891[/C][C]95.1456848081576[/C][/ROW]
[ROW][C]0.29[/C][C]9647.66541015988[/C][C]94.2559693422021[/C][/ROW]
[ROW][C]0.3[/C][C]9669.01507213092[/C][C]92.0408163787839[/C][/ROW]
[ROW][C]0.31[/C][C]9689.57610119571[/C][C]88.6381682955466[/C][/ROW]
[ROW][C]0.32[/C][C]9709.13689378432[/C][C]84.3275497651474[/C][/ROW]
[ROW][C]0.33[/C][C]9727.54580147301[/C][C]79.3799547883009[/C][/ROW]
[ROW][C]0.34[/C][C]9744.71813868865[/C][C]74.1222467322933[/C][/ROW]
[ROW][C]0.35[/C][C]9760.63601166214[/C][C]68.8435288342639[/C][/ROW]
[ROW][C]0.36[/C][C]9775.34203769859[/C][C]63.8438440503103[/C][/ROW]
[ROW][C]0.37[/C][C]9788.92905996219[/C][C]59.3400088995528[/C][/ROW]
[ROW][C]0.38[/C][C]9801.52817091855[/C][C]55.4313572644129[/C][/ROW]
[ROW][C]0.39[/C][C]9813.29680791046[/C][C]52.2663201996599[/C][/ROW]
[ROW][C]0.4[/C][C]9824.40779538397[/C][C]49.915369342443[/C][/ROW]
[ROW][C]0.41[/C][C]9835.03947570549[/C][C]48.3637226983822[/C][/ROW]
[ROW][C]0.42[/C][C]9845.36680554925[/C][C]47.6216487971092[/C][/ROW]
[ROW][C]0.43[/C][C]9855.55350052379[/C][C]47.6203599655898[/C][/ROW]
[ROW][C]0.44[/C][C]9865.74573068118[/C][C]48.2305440030874[/C][/ROW]
[ROW][C]0.45[/C][C]9876.06815401526[/C][C]49.3631466217272[/C][/ROW]
[ROW][C]0.46[/C][C]9886.62296587898[/C][C]50.8691028379373[/C][/ROW]
[ROW][C]0.47[/C][C]9897.49209131116[/C][C]52.6529863043675[/C][/ROW]
[ROW][C]0.48[/C][C]9908.74182830852[/C][C]54.6786352392367[/C][/ROW]
[ROW][C]0.49[/C][C]9920.4284754621[/C][C]56.8993437830739[/C][/ROW]
[ROW][C]0.5[/C][C]9932.60306499003[/C][C]59.337650324298[/C][/ROW]
[ROW][C]0.51[/C][C]9945.31346817054[/C][C]61.9973583310594[/C][/ROW]
[ROW][C]0.52[/C][C]9958.60284301705[/C][C]64.8448078516583[/C][/ROW]
[ROW][C]0.53[/C][C]9972.50445411907[/C][C]67.8163844688276[/C][/ROW]
[ROW][C]0.54[/C][C]9987.03398664012[/C][C]70.8095283342287[/C][/ROW]
[ROW][C]0.55[/C][C]10002.181268055[/C][C]73.6919541900833[/C][/ROW]
[ROW][C]0.56[/C][C]10017.9035829594[/C][C]76.2420319869528[/C][/ROW]
[ROW][C]0.57[/C][C]10034.1224867948[/C][C]78.280107464715[/C][/ROW]
[ROW][C]0.58[/C][C]10050.7253470382[/C][C]79.6565694096087[/C][/ROW]
[ROW][C]0.59[/C][C]10067.5720208269[/C][C]80.2489550065917[/C][/ROW]
[ROW][C]0.6[/C][C]10084.5063467169[/C][C]80.0106504552098[/C][/ROW]
[ROW][C]0.61[/C][C]10101.3715817788[/C][C]78.9685996344551[/C][/ROW]
[ROW][C]0.62[/C][C]10118.0284857217[/C][C]77.2539361691135[/C][/ROW]
[ROW][C]0.63[/C][C]10134.3742849511[/C][C]75.0547910396994[/C][/ROW]
[ROW][C]0.64[/C][C]10150.360147207[/C][C]72.671398678686[/C][/ROW]
[ROW][C]0.65[/C][C]10166.0041708384[/C][C]70.422441711341[/C][/ROW]
[ROW][C]0.66[/C][C]10181.3965880792[/C][C]68.7238875472702[/C][/ROW]
[ROW][C]0.67[/C][C]10196.6943540961[/C][C]67.8687108713554[/C][/ROW]
[ROW][C]0.68[/C][C]10212.1038527937[/C][C]68.0775354190608[/C][/ROW]
[ROW][C]0.69[/C][C]10227.8530046143[/C][C]69.4303844885114[/C][/ROW]
[ROW][C]0.7[/C][C]10244.1570161921[/C][C]71.7269831443137[/C][/ROW]
[ROW][C]0.71[/C][C]10261.1844174193[/C][C]74.6118096576852[/C][/ROW]
[ROW][C]0.72[/C][C]10279.0309454554[/C][C]77.6874867783092[/C][/ROW]
[ROW][C]0.73[/C][C]10297.7077291751[/C][C]80.4699117237843[/C][/ROW]
[ROW][C]0.74[/C][C]10317.147235286[/C][C]82.6420806232938[/C][/ROW]
[ROW][C]0.75[/C][C]10337.2263175383[/C][C]83.967725604271[/C][/ROW]
[ROW][C]0.76[/C][C]10357.8015611021[/C][C]84.468252100141[/C][/ROW]
[ROW][C]0.77[/C][C]10378.7490070596[/C][C]84.2865039258891[/C][/ROW]
[ROW][C]0.78[/C][C]10399.9990586875[/C][C]83.7549607497563[/C][/ROW]
[ROW][C]0.79[/C][C]10421.5583144087[/C][C]83.2351441497336[/C][/ROW]
[ROW][C]0.8[/C][C]10443.5132765901[/C][C]83.0782173024121[/C][/ROW]
[ROW][C]0.81[/C][C]10466.0159692085[/C][C]83.5112313286212[/C][/ROW]
[ROW][C]0.82[/C][C]10489.2574286914[/C][C]84.5710850527064[/C][/ROW]
[ROW][C]0.83[/C][C]10513.4397563559[/C][C]86.1693362310874[/C][/ROW]
[ROW][C]0.84[/C][C]10538.7577552658[/C][C]88.1104930873965[/C][/ROW]
[ROW][C]0.85[/C][C]10565.3938359233[/C][C]90.2604732801242[/C][/ROW]
[ROW][C]0.86[/C][C]10593.5145421944[/C][C]92.5269999496433[/C][/ROW]
[ROW][C]0.87[/C][C]10623.2409009646[/C][C]94.8642716395592[/C][/ROW]
[ROW][C]0.88[/C][C]10654.5645442222[/C][C]96.9152501211724[/C][/ROW]
[ROW][C]0.89[/C][C]10687.2159517172[/C][C]97.8086454423243[/C][/ROW]
[ROW][C]0.9[/C][C]10720.5608020204[/C][C]96.1965465021803[/C][/ROW]
[ROW][C]0.91[/C][C]10753.6672111374[/C][C]90.9045689700809[/C][/ROW]
[ROW][C]0.92[/C][C]10785.6854988781[/C][C]82.0551312072118[/C][/ROW]
[ROW][C]0.93[/C][C]10816.5906459957[/C][C]71.9817177329371[/C][/ROW]
[ROW][C]0.94[/C][C]10848.2566904324[/C][C]65.4767922338752[/C][/ROW]
[ROW][C]0.95[/C][C]10885.9148190747[/C][C]69.4877580984563[/C][/ROW]
[ROW][C]0.96[/C][C]10940.1273876402[/C][C]92.0945449657508[/C][/ROW]
[ROW][C]0.97[/C][C]11028.3653410666[/C][C]138.546127386566[/C][/ROW]
[ROW][C]0.98[/C][C]11169.9724186262[/C][C]202.78973594676[/C][/ROW]
[ROW][C]0.99[/C][C]11356.9559685882[/C][C]268.593310079389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162967&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162967&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
0.018697.10565360179121.306884412925
0.028805.57096650376187.403032515381
0.038928.44260727747184.021061303686
0.049032.70232479408142.019713253034
0.059107.5600159629899.5100206244714
0.069158.0222645840973.6715744555229
0.079193.606486771464.0027361458964
0.089221.8102081836662.343528038767
0.099246.6928954622762.4194124860964
0.19269.8664899319762.0949870129402
0.119291.8148194997761.4440517863409
0.129312.7210913498361.1415861521661
0.139332.7680769422361.3824790200238
0.149352.1489671890861.9478093027392
0.159371.0113995811862.4408651859739
0.169389.4449325376762.7505693561951
0.179407.5218396854763.1046200854122
0.189425.3523203765863.9372465266801
0.199443.1144284883565.6712257489202
0.29461.0430213758468.5417025655512
0.219479.3870582637772.3988050064177
0.229498.3570677933476.9124054711591
0.239518.0829721830781.634327337273
0.249538.5926969086386.1283791019805
0.259559.8116264459189.9964362820326
0.269581.5767909902892.9167080663709
0.279603.6585789281694.6914168138416
0.289625.7848956489195.1456848081576
0.299647.6654101598894.2559693422021
0.39669.0150721309292.0408163787839
0.319689.5761011957188.6381682955466
0.329709.1368937843284.3275497651474
0.339727.5458014730179.3799547883009
0.349744.7181386886574.1222467322933
0.359760.6360116621468.8435288342639
0.369775.3420376985963.8438440503103
0.379788.9290599621959.3400088995528
0.389801.5281709185555.4313572644129
0.399813.2968079104652.2663201996599
0.49824.4077953839749.915369342443
0.419835.0394757054948.3637226983822
0.429845.3668055492547.6216487971092
0.439855.5535005237947.6203599655898
0.449865.7457306811848.2305440030874
0.459876.0681540152649.3631466217272
0.469886.6229658789850.8691028379373
0.479897.4920913111652.6529863043675
0.489908.7418283085254.6786352392367
0.499920.428475462156.8993437830739
0.59932.6030649900359.337650324298
0.519945.3134681705461.9973583310594
0.529958.6028430170564.8448078516583
0.539972.5044541190767.8163844688276
0.549987.0339866401270.8095283342287
0.5510002.18126805573.6919541900833
0.5610017.903582959476.2420319869528
0.5710034.122486794878.280107464715
0.5810050.725347038279.6565694096087
0.5910067.572020826980.2489550065917
0.610084.506346716980.0106504552098
0.6110101.371581778878.9685996344551
0.6210118.028485721777.2539361691135
0.6310134.374284951175.0547910396994
0.6410150.36014720772.671398678686
0.6510166.004170838470.422441711341
0.6610181.396588079268.7238875472702
0.6710196.694354096167.8687108713554
0.6810212.103852793768.0775354190608
0.6910227.853004614369.4303844885114
0.710244.157016192171.7269831443137
0.7110261.184417419374.6118096576852
0.7210279.030945455477.6874867783092
0.7310297.707729175180.4699117237843
0.7410317.14723528682.6420806232938
0.7510337.226317538383.967725604271
0.7610357.801561102184.468252100141
0.7710378.749007059684.2865039258891
0.7810399.999058687583.7549607497563
0.7910421.558314408783.2351441497336
0.810443.513276590183.0782173024121
0.8110466.015969208583.5112313286212
0.8210489.257428691484.5710850527064
0.8310513.439756355986.1693362310874
0.8410538.757755265888.1104930873965
0.8510565.393835923390.2604732801242
0.8610593.514542194492.5269999496433
0.8710623.240900964694.8642716395592
0.8810654.564544222296.9152501211724
0.8910687.215951717297.8086454423243
0.910720.560802020496.1965465021803
0.9110753.667211137490.9045689700809
0.9210785.685498878182.0551312072118
0.9310816.590645995771.9817177329371
0.9410848.256690432465.4767922338752
0.9510885.914819074769.4877580984563
0.9610940.127387640292.0945449657508
0.9711028.3653410666138.546127386566
0.9811169.9724186262202.78973594676
0.9911356.9559685882268.593310079389


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')