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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 computationSat, 17 Oct 2009 09:33:32 -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/17/t1255793660cxuqknaze8glkpd.htm/, Retrieved Sun, 05 May 2024 21:48:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47203, Retrieved Sun, 05 May 2024 21:48:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact112

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] [Harley davidson] [2009-10-17 14:45:05] [96d7baecdd5ebd8fe17b0c7c170ff3c2]
-   PD  [Harrell-Davis Quantiles] [Bouwvergunningen ...] [2009-10-17 15:30:25] [96d7baecdd5ebd8fe17b0c7c170ff3c2]
-   PD      [Harrell-Davis Quantiles] [Bouwvergunningen ...] [2009-10-17 15:33:32] [2a9ec9c0b57e4896ade7900b00318ff3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5789
6333
6901
5813
6504
5619
5867
6084
5258
5601
5081
4678
5463
5546
6810
6407
5985
5119
5904
5034
4922
6083
4365
4464
4557
5885
5286
6017
5376
5935
6276
5510
5998
5193
4602
5326
5307
5014
6153
6441
5584
6427
6062
5589
6216
5809
4989
6706
7174
6122
8075
6292
6337
8576
6077
5931
6288
7167
6054
6468
6403
6927
7914
7728
8701
8522
6481
7502
7778
7424
6941
8574
9171
7718
9083
7164
8213
8124
7075
7026
7390
7778
6203
6905
7087
6495
7664
6516
6322
7828
6708
6717
5707
8063
6315
5893
6914
7319
6615
7341
6210
7408
6168
5878
6834
6211
5982
6973

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47203&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47203&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47203&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014425.4482932478398.3436949031352
0.024516.92248656515117.799382386676
0.034614.03500853174151.473368253916
0.044713.70838275158178.032061102314
0.054811.81630076764181.124526299556
0.064901.12482497313164.715706116062
0.074977.41483690984144.322460624709
0.085041.59487418863131.693965771545
0.095097.45508355821128.440783079081
0.15148.75055989163130.313649291520
0.115197.82481547147133.417147456821
0.125245.7004031589136.235074705171
0.135292.69269993799138.743897150132
0.145338.8769747598141.078757333176
0.155384.26021423606142.984082910835
0.165428.79363384468144.050502706368
0.175472.37711666133144.129095900620
0.185514.90377970756143.472624307895
0.195556.30873793022142.544300079767
0.25596.5737533105141.547924383578
0.215635.67874583078140.279964292190
0.225673.5345810616138.149732202018
0.235709.94530299966134.526181496850
0.245744.62832017788129.132686178338
0.255777.28658299622122.124669855069
0.265807.70023732801114.114791606212
0.275835.79913016793105.944617311655
0.285861.6904213599598.488760769239
0.295885.6369914600292.3847693936032
0.35908.0008573249187.9223541717401
0.315929.1745936805685.0440374621387
0.325949.5221190122583.4681749053498
0.335969.3417644545182.8262818548852
0.345988.8542905053182.7885194611977
0.356008.210438772283.0910010503311
0.366027.5086539703783.6178739885518
0.376046.8137789344784.2953532341163
0.386066.1705305853285.1071956057309
0.396085.6096449734886.011383711166
0.46105.1481381537186.928557341176
0.416124.7871458235887.7812986997052
0.426144.5109945004988.4546418028078
0.436164.289901227188.9133421939942
0.446184.0867825783689.1109458188292
0.456203.8669170322489.1045776946656
0.466223.6082373781588.9836010644245
0.476243.3100230174788.8770486147665
0.486262.9985436548688.9118759611052
0.496282.7293917436189.2440152740517
0.56302.5873940289689.992319922446
0.516322.6857213483691.2767838705067
0.526343.165824207893.2069237444375
0.536364.19896728495.9236979837586
0.546385.9885313082999.5552565748346
0.556408.77035575252104.268963382376
0.566432.80699291193110.201101479338
0.576458.37171199784117.388036404926
0.586485.72001125705125.686866786335
0.596515.05015843739134.724877210356
0.66546.45892797017143.918183445644
0.616579.90265025141152.492148058784
0.626615.1752752508159.632261870160
0.636651.91331602821164.62793978031
0.646689.63229092375167.030022512508
0.656727.7918018366166.722991535368
0.666765.87867962847164.020624939765
0.676803.49194474946159.608437544403
0.686840.41150071903154.463743319823
0.696876.63535005758149.646150561978
0.76912.37722170899146.149549568345
0.716948.0260143818144.644539970563
0.726984.07768527681145.416047151801
0.737021.0564266806148.304691125139
0.747059.44344152011152.884230340550
0.757099.6281842431158.538941040715
0.767141.88971130264164.71319948285
0.777186.40639346529170.954114201742
0.787233.28230509261176.993543910458
0.797282.570500767182.708573208613
0.87334.27153876165188.013784986391
0.817388.2959096756192.614581868454
0.827444.40412520928195.901602933639
0.837502.17008038958197.02276195697
0.847561.03013841436195.303961074847
0.857620.45685846638190.862238523938
0.867680.22764637223184.999661968117
0.877740.68221102454180.055484803189
0.887802.84674981448178.433845930885
0.897868.38427973254181.501968115566
0.97939.43744087198189.334617880506
0.918018.39483848987201.544944128488
0.928107.38456889437217.080582282425
0.938207.25893630152231.751168671174
0.948316.68865040387237.024077548304
0.958433.58814562196226.915762769189
0.968560.63857528557212.883014789348
0.978709.62226186823224.731950644867
0.988888.86897152565248.948184573193
0.999068.4662038327194.165095326343

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4425.44829324783 & 98.3436949031352 \tabularnewline
0.02 & 4516.92248656515 & 117.799382386676 \tabularnewline
0.03 & 4614.03500853174 & 151.473368253916 \tabularnewline
0.04 & 4713.70838275158 & 178.032061102314 \tabularnewline
0.05 & 4811.81630076764 & 181.124526299556 \tabularnewline
0.06 & 4901.12482497313 & 164.715706116062 \tabularnewline
0.07 & 4977.41483690984 & 144.322460624709 \tabularnewline
0.08 & 5041.59487418863 & 131.693965771545 \tabularnewline
0.09 & 5097.45508355821 & 128.440783079081 \tabularnewline
0.1 & 5148.75055989163 & 130.313649291520 \tabularnewline
0.11 & 5197.82481547147 & 133.417147456821 \tabularnewline
0.12 & 5245.7004031589 & 136.235074705171 \tabularnewline
0.13 & 5292.69269993799 & 138.743897150132 \tabularnewline
0.14 & 5338.8769747598 & 141.078757333176 \tabularnewline
0.15 & 5384.26021423606 & 142.984082910835 \tabularnewline
0.16 & 5428.79363384468 & 144.050502706368 \tabularnewline
0.17 & 5472.37711666133 & 144.129095900620 \tabularnewline
0.18 & 5514.90377970756 & 143.472624307895 \tabularnewline
0.19 & 5556.30873793022 & 142.544300079767 \tabularnewline
0.2 & 5596.5737533105 & 141.547924383578 \tabularnewline
0.21 & 5635.67874583078 & 140.279964292190 \tabularnewline
0.22 & 5673.5345810616 & 138.149732202018 \tabularnewline
0.23 & 5709.94530299966 & 134.526181496850 \tabularnewline
0.24 & 5744.62832017788 & 129.132686178338 \tabularnewline
0.25 & 5777.28658299622 & 122.124669855069 \tabularnewline
0.26 & 5807.70023732801 & 114.114791606212 \tabularnewline
0.27 & 5835.79913016793 & 105.944617311655 \tabularnewline
0.28 & 5861.69042135995 & 98.488760769239 \tabularnewline
0.29 & 5885.63699146002 & 92.3847693936032 \tabularnewline
0.3 & 5908.00085732491 & 87.9223541717401 \tabularnewline
0.31 & 5929.17459368056 & 85.0440374621387 \tabularnewline
0.32 & 5949.52211901225 & 83.4681749053498 \tabularnewline
0.33 & 5969.34176445451 & 82.8262818548852 \tabularnewline
0.34 & 5988.85429050531 & 82.7885194611977 \tabularnewline
0.35 & 6008.2104387722 & 83.0910010503311 \tabularnewline
0.36 & 6027.50865397037 & 83.6178739885518 \tabularnewline
0.37 & 6046.81377893447 & 84.2953532341163 \tabularnewline
0.38 & 6066.17053058532 & 85.1071956057309 \tabularnewline
0.39 & 6085.60964497348 & 86.011383711166 \tabularnewline
0.4 & 6105.14813815371 & 86.928557341176 \tabularnewline
0.41 & 6124.78714582358 & 87.7812986997052 \tabularnewline
0.42 & 6144.51099450049 & 88.4546418028078 \tabularnewline
0.43 & 6164.2899012271 & 88.9133421939942 \tabularnewline
0.44 & 6184.08678257836 & 89.1109458188292 \tabularnewline
0.45 & 6203.86691703224 & 89.1045776946656 \tabularnewline
0.46 & 6223.60823737815 & 88.9836010644245 \tabularnewline
0.47 & 6243.31002301747 & 88.8770486147665 \tabularnewline
0.48 & 6262.99854365486 & 88.9118759611052 \tabularnewline
0.49 & 6282.72939174361 & 89.2440152740517 \tabularnewline
0.5 & 6302.58739402896 & 89.992319922446 \tabularnewline
0.51 & 6322.68572134836 & 91.2767838705067 \tabularnewline
0.52 & 6343.1658242078 & 93.2069237444375 \tabularnewline
0.53 & 6364.198967284 & 95.9236979837586 \tabularnewline
0.54 & 6385.98853130829 & 99.5552565748346 \tabularnewline
0.55 & 6408.77035575252 & 104.268963382376 \tabularnewline
0.56 & 6432.80699291193 & 110.201101479338 \tabularnewline
0.57 & 6458.37171199784 & 117.388036404926 \tabularnewline
0.58 & 6485.72001125705 & 125.686866786335 \tabularnewline
0.59 & 6515.05015843739 & 134.724877210356 \tabularnewline
0.6 & 6546.45892797017 & 143.918183445644 \tabularnewline
0.61 & 6579.90265025141 & 152.492148058784 \tabularnewline
0.62 & 6615.1752752508 & 159.632261870160 \tabularnewline
0.63 & 6651.91331602821 & 164.62793978031 \tabularnewline
0.64 & 6689.63229092375 & 167.030022512508 \tabularnewline
0.65 & 6727.7918018366 & 166.722991535368 \tabularnewline
0.66 & 6765.87867962847 & 164.020624939765 \tabularnewline
0.67 & 6803.49194474946 & 159.608437544403 \tabularnewline
0.68 & 6840.41150071903 & 154.463743319823 \tabularnewline
0.69 & 6876.63535005758 & 149.646150561978 \tabularnewline
0.7 & 6912.37722170899 & 146.149549568345 \tabularnewline
0.71 & 6948.0260143818 & 144.644539970563 \tabularnewline
0.72 & 6984.07768527681 & 145.416047151801 \tabularnewline
0.73 & 7021.0564266806 & 148.304691125139 \tabularnewline
0.74 & 7059.44344152011 & 152.884230340550 \tabularnewline
0.75 & 7099.6281842431 & 158.538941040715 \tabularnewline
0.76 & 7141.88971130264 & 164.71319948285 \tabularnewline
0.77 & 7186.40639346529 & 170.954114201742 \tabularnewline
0.78 & 7233.28230509261 & 176.993543910458 \tabularnewline
0.79 & 7282.570500767 & 182.708573208613 \tabularnewline
0.8 & 7334.27153876165 & 188.013784986391 \tabularnewline
0.81 & 7388.2959096756 & 192.614581868454 \tabularnewline
0.82 & 7444.40412520928 & 195.901602933639 \tabularnewline
0.83 & 7502.17008038958 & 197.02276195697 \tabularnewline
0.84 & 7561.03013841436 & 195.303961074847 \tabularnewline
0.85 & 7620.45685846638 & 190.862238523938 \tabularnewline
0.86 & 7680.22764637223 & 184.999661968117 \tabularnewline
0.87 & 7740.68221102454 & 180.055484803189 \tabularnewline
0.88 & 7802.84674981448 & 178.433845930885 \tabularnewline
0.89 & 7868.38427973254 & 181.501968115566 \tabularnewline
0.9 & 7939.43744087198 & 189.334617880506 \tabularnewline
0.91 & 8018.39483848987 & 201.544944128488 \tabularnewline
0.92 & 8107.38456889437 & 217.080582282425 \tabularnewline
0.93 & 8207.25893630152 & 231.751168671174 \tabularnewline
0.94 & 8316.68865040387 & 237.024077548304 \tabularnewline
0.95 & 8433.58814562196 & 226.915762769189 \tabularnewline
0.96 & 8560.63857528557 & 212.883014789348 \tabularnewline
0.97 & 8709.62226186823 & 224.731950644867 \tabularnewline
0.98 & 8888.86897152565 & 248.948184573193 \tabularnewline
0.99 & 9068.4662038327 & 194.165095326343 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47203&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]4425.44829324783[/C][C]98.3436949031352[/C][/ROW]
[ROW][C]0.02[/C][C]4516.92248656515[/C][C]117.799382386676[/C][/ROW]
[ROW][C]0.03[/C][C]4614.03500853174[/C][C]151.473368253916[/C][/ROW]
[ROW][C]0.04[/C][C]4713.70838275158[/C][C]178.032061102314[/C][/ROW]
[ROW][C]0.05[/C][C]4811.81630076764[/C][C]181.124526299556[/C][/ROW]
[ROW][C]0.06[/C][C]4901.12482497313[/C][C]164.715706116062[/C][/ROW]
[ROW][C]0.07[/C][C]4977.41483690984[/C][C]144.322460624709[/C][/ROW]
[ROW][C]0.08[/C][C]5041.59487418863[/C][C]131.693965771545[/C][/ROW]
[ROW][C]0.09[/C][C]5097.45508355821[/C][C]128.440783079081[/C][/ROW]
[ROW][C]0.1[/C][C]5148.75055989163[/C][C]130.313649291520[/C][/ROW]
[ROW][C]0.11[/C][C]5197.82481547147[/C][C]133.417147456821[/C][/ROW]
[ROW][C]0.12[/C][C]5245.7004031589[/C][C]136.235074705171[/C][/ROW]
[ROW][C]0.13[/C][C]5292.69269993799[/C][C]138.743897150132[/C][/ROW]
[ROW][C]0.14[/C][C]5338.8769747598[/C][C]141.078757333176[/C][/ROW]
[ROW][C]0.15[/C][C]5384.26021423606[/C][C]142.984082910835[/C][/ROW]
[ROW][C]0.16[/C][C]5428.79363384468[/C][C]144.050502706368[/C][/ROW]
[ROW][C]0.17[/C][C]5472.37711666133[/C][C]144.129095900620[/C][/ROW]
[ROW][C]0.18[/C][C]5514.90377970756[/C][C]143.472624307895[/C][/ROW]
[ROW][C]0.19[/C][C]5556.30873793022[/C][C]142.544300079767[/C][/ROW]
[ROW][C]0.2[/C][C]5596.5737533105[/C][C]141.547924383578[/C][/ROW]
[ROW][C]0.21[/C][C]5635.67874583078[/C][C]140.279964292190[/C][/ROW]
[ROW][C]0.22[/C][C]5673.5345810616[/C][C]138.149732202018[/C][/ROW]
[ROW][C]0.23[/C][C]5709.94530299966[/C][C]134.526181496850[/C][/ROW]
[ROW][C]0.24[/C][C]5744.62832017788[/C][C]129.132686178338[/C][/ROW]
[ROW][C]0.25[/C][C]5777.28658299622[/C][C]122.124669855069[/C][/ROW]
[ROW][C]0.26[/C][C]5807.70023732801[/C][C]114.114791606212[/C][/ROW]
[ROW][C]0.27[/C][C]5835.79913016793[/C][C]105.944617311655[/C][/ROW]
[ROW][C]0.28[/C][C]5861.69042135995[/C][C]98.488760769239[/C][/ROW]
[ROW][C]0.29[/C][C]5885.63699146002[/C][C]92.3847693936032[/C][/ROW]
[ROW][C]0.3[/C][C]5908.00085732491[/C][C]87.9223541717401[/C][/ROW]
[ROW][C]0.31[/C][C]5929.17459368056[/C][C]85.0440374621387[/C][/ROW]
[ROW][C]0.32[/C][C]5949.52211901225[/C][C]83.4681749053498[/C][/ROW]
[ROW][C]0.33[/C][C]5969.34176445451[/C][C]82.8262818548852[/C][/ROW]
[ROW][C]0.34[/C][C]5988.85429050531[/C][C]82.7885194611977[/C][/ROW]
[ROW][C]0.35[/C][C]6008.2104387722[/C][C]83.0910010503311[/C][/ROW]
[ROW][C]0.36[/C][C]6027.50865397037[/C][C]83.6178739885518[/C][/ROW]
[ROW][C]0.37[/C][C]6046.81377893447[/C][C]84.2953532341163[/C][/ROW]
[ROW][C]0.38[/C][C]6066.17053058532[/C][C]85.1071956057309[/C][/ROW]
[ROW][C]0.39[/C][C]6085.60964497348[/C][C]86.011383711166[/C][/ROW]
[ROW][C]0.4[/C][C]6105.14813815371[/C][C]86.928557341176[/C][/ROW]
[ROW][C]0.41[/C][C]6124.78714582358[/C][C]87.7812986997052[/C][/ROW]
[ROW][C]0.42[/C][C]6144.51099450049[/C][C]88.4546418028078[/C][/ROW]
[ROW][C]0.43[/C][C]6164.2899012271[/C][C]88.9133421939942[/C][/ROW]
[ROW][C]0.44[/C][C]6184.08678257836[/C][C]89.1109458188292[/C][/ROW]
[ROW][C]0.45[/C][C]6203.86691703224[/C][C]89.1045776946656[/C][/ROW]
[ROW][C]0.46[/C][C]6223.60823737815[/C][C]88.9836010644245[/C][/ROW]
[ROW][C]0.47[/C][C]6243.31002301747[/C][C]88.8770486147665[/C][/ROW]
[ROW][C]0.48[/C][C]6262.99854365486[/C][C]88.9118759611052[/C][/ROW]
[ROW][C]0.49[/C][C]6282.72939174361[/C][C]89.2440152740517[/C][/ROW]
[ROW][C]0.5[/C][C]6302.58739402896[/C][C]89.992319922446[/C][/ROW]
[ROW][C]0.51[/C][C]6322.68572134836[/C][C]91.2767838705067[/C][/ROW]
[ROW][C]0.52[/C][C]6343.1658242078[/C][C]93.2069237444375[/C][/ROW]
[ROW][C]0.53[/C][C]6364.198967284[/C][C]95.9236979837586[/C][/ROW]
[ROW][C]0.54[/C][C]6385.98853130829[/C][C]99.5552565748346[/C][/ROW]
[ROW][C]0.55[/C][C]6408.77035575252[/C][C]104.268963382376[/C][/ROW]
[ROW][C]0.56[/C][C]6432.80699291193[/C][C]110.201101479338[/C][/ROW]
[ROW][C]0.57[/C][C]6458.37171199784[/C][C]117.388036404926[/C][/ROW]
[ROW][C]0.58[/C][C]6485.72001125705[/C][C]125.686866786335[/C][/ROW]
[ROW][C]0.59[/C][C]6515.05015843739[/C][C]134.724877210356[/C][/ROW]
[ROW][C]0.6[/C][C]6546.45892797017[/C][C]143.918183445644[/C][/ROW]
[ROW][C]0.61[/C][C]6579.90265025141[/C][C]152.492148058784[/C][/ROW]
[ROW][C]0.62[/C][C]6615.1752752508[/C][C]159.632261870160[/C][/ROW]
[ROW][C]0.63[/C][C]6651.91331602821[/C][C]164.62793978031[/C][/ROW]
[ROW][C]0.64[/C][C]6689.63229092375[/C][C]167.030022512508[/C][/ROW]
[ROW][C]0.65[/C][C]6727.7918018366[/C][C]166.722991535368[/C][/ROW]
[ROW][C]0.66[/C][C]6765.87867962847[/C][C]164.020624939765[/C][/ROW]
[ROW][C]0.67[/C][C]6803.49194474946[/C][C]159.608437544403[/C][/ROW]
[ROW][C]0.68[/C][C]6840.41150071903[/C][C]154.463743319823[/C][/ROW]
[ROW][C]0.69[/C][C]6876.63535005758[/C][C]149.646150561978[/C][/ROW]
[ROW][C]0.7[/C][C]6912.37722170899[/C][C]146.149549568345[/C][/ROW]
[ROW][C]0.71[/C][C]6948.0260143818[/C][C]144.644539970563[/C][/ROW]
[ROW][C]0.72[/C][C]6984.07768527681[/C][C]145.416047151801[/C][/ROW]
[ROW][C]0.73[/C][C]7021.0564266806[/C][C]148.304691125139[/C][/ROW]
[ROW][C]0.74[/C][C]7059.44344152011[/C][C]152.884230340550[/C][/ROW]
[ROW][C]0.75[/C][C]7099.6281842431[/C][C]158.538941040715[/C][/ROW]
[ROW][C]0.76[/C][C]7141.88971130264[/C][C]164.71319948285[/C][/ROW]
[ROW][C]0.77[/C][C]7186.40639346529[/C][C]170.954114201742[/C][/ROW]
[ROW][C]0.78[/C][C]7233.28230509261[/C][C]176.993543910458[/C][/ROW]
[ROW][C]0.79[/C][C]7282.570500767[/C][C]182.708573208613[/C][/ROW]
[ROW][C]0.8[/C][C]7334.27153876165[/C][C]188.013784986391[/C][/ROW]
[ROW][C]0.81[/C][C]7388.2959096756[/C][C]192.614581868454[/C][/ROW]
[ROW][C]0.82[/C][C]7444.40412520928[/C][C]195.901602933639[/C][/ROW]
[ROW][C]0.83[/C][C]7502.17008038958[/C][C]197.02276195697[/C][/ROW]
[ROW][C]0.84[/C][C]7561.03013841436[/C][C]195.303961074847[/C][/ROW]
[ROW][C]0.85[/C][C]7620.45685846638[/C][C]190.862238523938[/C][/ROW]
[ROW][C]0.86[/C][C]7680.22764637223[/C][C]184.999661968117[/C][/ROW]
[ROW][C]0.87[/C][C]7740.68221102454[/C][C]180.055484803189[/C][/ROW]
[ROW][C]0.88[/C][C]7802.84674981448[/C][C]178.433845930885[/C][/ROW]
[ROW][C]0.89[/C][C]7868.38427973254[/C][C]181.501968115566[/C][/ROW]
[ROW][C]0.9[/C][C]7939.43744087198[/C][C]189.334617880506[/C][/ROW]
[ROW][C]0.91[/C][C]8018.39483848987[/C][C]201.544944128488[/C][/ROW]
[ROW][C]0.92[/C][C]8107.38456889437[/C][C]217.080582282425[/C][/ROW]
[ROW][C]0.93[/C][C]8207.25893630152[/C][C]231.751168671174[/C][/ROW]
[ROW][C]0.94[/C][C]8316.68865040387[/C][C]237.024077548304[/C][/ROW]
[ROW][C]0.95[/C][C]8433.58814562196[/C][C]226.915762769189[/C][/ROW]
[ROW][C]0.96[/C][C]8560.63857528557[/C][C]212.883014789348[/C][/ROW]
[ROW][C]0.97[/C][C]8709.62226186823[/C][C]224.731950644867[/C][/ROW]
[ROW][C]0.98[/C][C]8888.86897152565[/C][C]248.948184573193[/C][/ROW]
[ROW][C]0.99[/C][C]9068.4662038327[/C][C]194.165095326343[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47203&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47203&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
0.014425.4482932478398.3436949031352
0.024516.92248656515117.799382386676
0.034614.03500853174151.473368253916
0.044713.70838275158178.032061102314
0.054811.81630076764181.124526299556
0.064901.12482497313164.715706116062
0.074977.41483690984144.322460624709
0.085041.59487418863131.693965771545
0.095097.45508355821128.440783079081
0.15148.75055989163130.313649291520
0.115197.82481547147133.417147456821
0.125245.7004031589136.235074705171
0.135292.69269993799138.743897150132
0.145338.8769747598141.078757333176
0.155384.26021423606142.984082910835
0.165428.79363384468144.050502706368
0.175472.37711666133144.129095900620
0.185514.90377970756143.472624307895
0.195556.30873793022142.544300079767
0.25596.5737533105141.547924383578
0.215635.67874583078140.279964292190
0.225673.5345810616138.149732202018
0.235709.94530299966134.526181496850
0.245744.62832017788129.132686178338
0.255777.28658299622122.124669855069
0.265807.70023732801114.114791606212
0.275835.79913016793105.944617311655
0.285861.6904213599598.488760769239
0.295885.6369914600292.3847693936032
0.35908.0008573249187.9223541717401
0.315929.1745936805685.0440374621387
0.325949.5221190122583.4681749053498
0.335969.3417644545182.8262818548852
0.345988.8542905053182.7885194611977
0.356008.210438772283.0910010503311
0.366027.5086539703783.6178739885518
0.376046.8137789344784.2953532341163
0.386066.1705305853285.1071956057309
0.396085.6096449734886.011383711166
0.46105.1481381537186.928557341176
0.416124.7871458235887.7812986997052
0.426144.5109945004988.4546418028078
0.436164.289901227188.9133421939942
0.446184.0867825783689.1109458188292
0.456203.8669170322489.1045776946656
0.466223.6082373781588.9836010644245
0.476243.3100230174788.8770486147665
0.486262.9985436548688.9118759611052
0.496282.7293917436189.2440152740517
0.56302.5873940289689.992319922446
0.516322.6857213483691.2767838705067
0.526343.165824207893.2069237444375
0.536364.19896728495.9236979837586
0.546385.9885313082999.5552565748346
0.556408.77035575252104.268963382376
0.566432.80699291193110.201101479338
0.576458.37171199784117.388036404926
0.586485.72001125705125.686866786335
0.596515.05015843739134.724877210356
0.66546.45892797017143.918183445644
0.616579.90265025141152.492148058784
0.626615.1752752508159.632261870160
0.636651.91331602821164.62793978031
0.646689.63229092375167.030022512508
0.656727.7918018366166.722991535368
0.666765.87867962847164.020624939765
0.676803.49194474946159.608437544403
0.686840.41150071903154.463743319823
0.696876.63535005758149.646150561978
0.76912.37722170899146.149549568345
0.716948.0260143818144.644539970563
0.726984.07768527681145.416047151801
0.737021.0564266806148.304691125139
0.747059.44344152011152.884230340550
0.757099.6281842431158.538941040715
0.767141.88971130264164.71319948285
0.777186.40639346529170.954114201742
0.787233.28230509261176.993543910458
0.797282.570500767182.708573208613
0.87334.27153876165188.013784986391
0.817388.2959096756192.614581868454
0.827444.40412520928195.901602933639
0.837502.17008038958197.02276195697
0.847561.03013841436195.303961074847
0.857620.45685846638190.862238523938
0.867680.22764637223184.999661968117
0.877740.68221102454180.055484803189
0.887802.84674981448178.433845930885
0.897868.38427973254181.501968115566
0.97939.43744087198189.334617880506
0.918018.39483848987201.544944128488
0.928107.38456889437217.080582282425
0.938207.25893630152231.751168671174
0.948316.68865040387237.024077548304
0.958433.58814562196226.915762769189
0.968560.63857528557212.883014789348
0.978709.62226186823224.731950644867
0.988888.86897152565248.948184573193
0.999068.4662038327194.165095326343


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')