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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 computationThu, 03 Mar 2011 08:45:44 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/03/t1299141883y9zvjc78sgk72i8.htm/, Retrieved Tue, 14 May 2024 04:57:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119640, Retrieved Tue, 14 May 2024 04:57:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact143

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] [] [2011-03-03 08:45:44] [697c881a84403defd656157daf408edb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12544
12264
13783
11214
11453
10883
10381
10348
10024
10805
10796
11907
12261
11377
12689
11474
10992
10764
12164
10409
10398
10349
10865
11630
12221
10884
12019
11021
10799
10423
10484
10450
9906
11049
11281
12485
12849
11380
12079
11366
11328
10444
10854
10434
10137
10992
10906
12367
14371
11695
11546
10922
10670
10254
10573
10239
10253
11176
10719
11817
12503
11510
12012
10941
11252
10662
11114
10415
10626
11411
10936
12513

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'Gwilym Jenkins' @ www.wessa.org

\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 & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119640&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]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119640&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'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019947.07407757142114.585638250539
0.0210010.7374970506114.919578472738
0.0310077.5291748855111.78896960982
0.0410136.8545619913102.035971980958
0.0510185.897531390989.3101872085368
0.0610225.569636099678.3913241914181
0.0710257.976220084371.2914154481342
0.0810285.190862797267.0343768092606
0.0910308.739197843163.6470023546469
0.110329.527685848159.8456178103233
0.1110348.027181567155.4415143085405
0.1210364.523811103751.0018576882694
0.1310379.311029702947.3311642196964
0.1410392.782147206145.2739610277666
0.1510405.440166336945.4723080320695
0.1610417.859921343748.2729680737638
0.1710430.631480046853.6413375349761
0.1810444.301649551861.2436194652906
0.1910459.321880356870.4907537156302
0.210476.007359932880.6346383183135
0.2110494.511217334190.8696225033697
0.2210514.8169113768100.413495322658
0.2310536.7498332908108.57603364265
0.2410560.0061410325114.854184304826
0.2510584.1938502597118.999191157893
0.2610608.8792738314120.902016255428
0.2710633.6316134978120.739857441798
0.2810658.0598260197118.806193631703
0.2910681.8382614242115.449704600543
0.310704.7202235527111.066742734572
0.3110726.5408277362106.084828473866
0.3210747.2119060996100.798470236041
0.3310766.712157006795.5096364769844
0.3410785.075436680990.4613140072892
0.3510802.37935859185.857516342465
0.3610818.735502019381.7913932028838
0.3710834.281748429678.4608108128188
0.3810849.17666769175.9307889091875
0.3910863.595486365174.3162653525386
0.410877.726962005373.6994040846263
0.4110891.770422641874.1878912800382
0.4210905.93227585375.791562341585
0.4310920.421423159678.5537982224521
0.4410935.443216467682.428062933922
0.4510951.191850658287.354750370832
0.4610967.841385298793.1680196509226
0.4710985.535907397399.6843200353126
0.4811004.3796539386106.62311726519
0.4911024.4281633462113.693820783141
0.511045.6816670966120.539267032278
0.5111068.0819177492126.814823281303
0.5211091.5134472674132.190847343731
0.5311115.8098617127136.418015729467
0.5411140.7652464641139.263106134101
0.5511166.1501562298140.672304247446
0.5611191.7310916849140.657215618995
0.5711217.2919118221139.358731639302
0.5811242.6553649251137.040803905426
0.5911267.7028681502134.097611470917
0.611292.3908089731130.972867185917
0.6111316.7619287347128.169673768034
0.6211340.95070857126.219943643108
0.6311365.1820441282125.654201986635
0.6411389.7628258855126.898007569188
0.6511415.0663361979130.285657761852
0.6611441.5096794735135.965272292951
0.6711469.5248616569143.932670577676
0.6811499.5247195408153.918979734521
0.6911531.8657167944165.479766556836
0.711566.8106222644177.979244063232
0.7111604.4950816764190.645905718444
0.7211644.9027714973202.589090897987
0.7311687.8538105782212.941094021356
0.7411733.0101038141220.91517868853
0.7511779.8992362058225.894143674385
0.7611827.9556968374227.5590886753
0.7711876.5751785696225.880923461747
0.7811925.1751906358221.144694507448
0.7911973.2537933105213.935788541601
0.812020.4380568782205.020724837302
0.8112066.5145874645195.264762098504
0.8212111.4358354854185.528731186683
0.8312155.2981763991176.506362217312
0.8412198.2922092336168.641412864453
0.8512240.6342908126161.985268330988
0.8612282.5021509771156.152104544728
0.8712324.0149113693150.477305560627
0.8812365.3138958955144.332236144717
0.8912406.809222946137.811006109671
0.912449.6562322854132.499096257716
0.9112496.5172851383132.384518108637
0.9212552.6353084838144.531206709032
0.9312627.1244868532178.663352797059
0.9412734.017941896244.944007524046
0.9512891.8674857573349.067901528689
0.9613119.6998212601481.27088807108
0.9713426.4664713384602.985169576963
0.9813792.1082823905656.029426009939
0.9914145.7605075951623.94623161133

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9947.07407757142 & 114.585638250539 \tabularnewline
0.02 & 10010.7374970506 & 114.919578472738 \tabularnewline
0.03 & 10077.5291748855 & 111.78896960982 \tabularnewline
0.04 & 10136.8545619913 & 102.035971980958 \tabularnewline
0.05 & 10185.8975313909 & 89.3101872085368 \tabularnewline
0.06 & 10225.5696360996 & 78.3913241914181 \tabularnewline
0.07 & 10257.9762200843 & 71.2914154481342 \tabularnewline
0.08 & 10285.1908627972 & 67.0343768092606 \tabularnewline
0.09 & 10308.7391978431 & 63.6470023546469 \tabularnewline
0.1 & 10329.5276858481 & 59.8456178103233 \tabularnewline
0.11 & 10348.0271815671 & 55.4415143085405 \tabularnewline
0.12 & 10364.5238111037 & 51.0018576882694 \tabularnewline
0.13 & 10379.3110297029 & 47.3311642196964 \tabularnewline
0.14 & 10392.7821472061 & 45.2739610277666 \tabularnewline
0.15 & 10405.4401663369 & 45.4723080320695 \tabularnewline
0.16 & 10417.8599213437 & 48.2729680737638 \tabularnewline
0.17 & 10430.6314800468 & 53.6413375349761 \tabularnewline
0.18 & 10444.3016495518 & 61.2436194652906 \tabularnewline
0.19 & 10459.3218803568 & 70.4907537156302 \tabularnewline
0.2 & 10476.0073599328 & 80.6346383183135 \tabularnewline
0.21 & 10494.5112173341 & 90.8696225033697 \tabularnewline
0.22 & 10514.8169113768 & 100.413495322658 \tabularnewline
0.23 & 10536.7498332908 & 108.57603364265 \tabularnewline
0.24 & 10560.0061410325 & 114.854184304826 \tabularnewline
0.25 & 10584.1938502597 & 118.999191157893 \tabularnewline
0.26 & 10608.8792738314 & 120.902016255428 \tabularnewline
0.27 & 10633.6316134978 & 120.739857441798 \tabularnewline
0.28 & 10658.0598260197 & 118.806193631703 \tabularnewline
0.29 & 10681.8382614242 & 115.449704600543 \tabularnewline
0.3 & 10704.7202235527 & 111.066742734572 \tabularnewline
0.31 & 10726.5408277362 & 106.084828473866 \tabularnewline
0.32 & 10747.2119060996 & 100.798470236041 \tabularnewline
0.33 & 10766.7121570067 & 95.5096364769844 \tabularnewline
0.34 & 10785.0754366809 & 90.4613140072892 \tabularnewline
0.35 & 10802.379358591 & 85.857516342465 \tabularnewline
0.36 & 10818.7355020193 & 81.7913932028838 \tabularnewline
0.37 & 10834.2817484296 & 78.4608108128188 \tabularnewline
0.38 & 10849.176667691 & 75.9307889091875 \tabularnewline
0.39 & 10863.5954863651 & 74.3162653525386 \tabularnewline
0.4 & 10877.7269620053 & 73.6994040846263 \tabularnewline
0.41 & 10891.7704226418 & 74.1878912800382 \tabularnewline
0.42 & 10905.932275853 & 75.791562341585 \tabularnewline
0.43 & 10920.4214231596 & 78.5537982224521 \tabularnewline
0.44 & 10935.4432164676 & 82.428062933922 \tabularnewline
0.45 & 10951.1918506582 & 87.354750370832 \tabularnewline
0.46 & 10967.8413852987 & 93.1680196509226 \tabularnewline
0.47 & 10985.5359073973 & 99.6843200353126 \tabularnewline
0.48 & 11004.3796539386 & 106.62311726519 \tabularnewline
0.49 & 11024.4281633462 & 113.693820783141 \tabularnewline
0.5 & 11045.6816670966 & 120.539267032278 \tabularnewline
0.51 & 11068.0819177492 & 126.814823281303 \tabularnewline
0.52 & 11091.5134472674 & 132.190847343731 \tabularnewline
0.53 & 11115.8098617127 & 136.418015729467 \tabularnewline
0.54 & 11140.7652464641 & 139.263106134101 \tabularnewline
0.55 & 11166.1501562298 & 140.672304247446 \tabularnewline
0.56 & 11191.7310916849 & 140.657215618995 \tabularnewline
0.57 & 11217.2919118221 & 139.358731639302 \tabularnewline
0.58 & 11242.6553649251 & 137.040803905426 \tabularnewline
0.59 & 11267.7028681502 & 134.097611470917 \tabularnewline
0.6 & 11292.3908089731 & 130.972867185917 \tabularnewline
0.61 & 11316.7619287347 & 128.169673768034 \tabularnewline
0.62 & 11340.95070857 & 126.219943643108 \tabularnewline
0.63 & 11365.1820441282 & 125.654201986635 \tabularnewline
0.64 & 11389.7628258855 & 126.898007569188 \tabularnewline
0.65 & 11415.0663361979 & 130.285657761852 \tabularnewline
0.66 & 11441.5096794735 & 135.965272292951 \tabularnewline
0.67 & 11469.5248616569 & 143.932670577676 \tabularnewline
0.68 & 11499.5247195408 & 153.918979734521 \tabularnewline
0.69 & 11531.8657167944 & 165.479766556836 \tabularnewline
0.7 & 11566.8106222644 & 177.979244063232 \tabularnewline
0.71 & 11604.4950816764 & 190.645905718444 \tabularnewline
0.72 & 11644.9027714973 & 202.589090897987 \tabularnewline
0.73 & 11687.8538105782 & 212.941094021356 \tabularnewline
0.74 & 11733.0101038141 & 220.91517868853 \tabularnewline
0.75 & 11779.8992362058 & 225.894143674385 \tabularnewline
0.76 & 11827.9556968374 & 227.5590886753 \tabularnewline
0.77 & 11876.5751785696 & 225.880923461747 \tabularnewline
0.78 & 11925.1751906358 & 221.144694507448 \tabularnewline
0.79 & 11973.2537933105 & 213.935788541601 \tabularnewline
0.8 & 12020.4380568782 & 205.020724837302 \tabularnewline
0.81 & 12066.5145874645 & 195.264762098504 \tabularnewline
0.82 & 12111.4358354854 & 185.528731186683 \tabularnewline
0.83 & 12155.2981763991 & 176.506362217312 \tabularnewline
0.84 & 12198.2922092336 & 168.641412864453 \tabularnewline
0.85 & 12240.6342908126 & 161.985268330988 \tabularnewline
0.86 & 12282.5021509771 & 156.152104544728 \tabularnewline
0.87 & 12324.0149113693 & 150.477305560627 \tabularnewline
0.88 & 12365.3138958955 & 144.332236144717 \tabularnewline
0.89 & 12406.809222946 & 137.811006109671 \tabularnewline
0.9 & 12449.6562322854 & 132.499096257716 \tabularnewline
0.91 & 12496.5172851383 & 132.384518108637 \tabularnewline
0.92 & 12552.6353084838 & 144.531206709032 \tabularnewline
0.93 & 12627.1244868532 & 178.663352797059 \tabularnewline
0.94 & 12734.017941896 & 244.944007524046 \tabularnewline
0.95 & 12891.8674857573 & 349.067901528689 \tabularnewline
0.96 & 13119.6998212601 & 481.27088807108 \tabularnewline
0.97 & 13426.4664713384 & 602.985169576963 \tabularnewline
0.98 & 13792.1082823905 & 656.029426009939 \tabularnewline
0.99 & 14145.7605075951 & 623.94623161133 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119640&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]9947.07407757142[/C][C]114.585638250539[/C][/ROW]
[ROW][C]0.02[/C][C]10010.7374970506[/C][C]114.919578472738[/C][/ROW]
[ROW][C]0.03[/C][C]10077.5291748855[/C][C]111.78896960982[/C][/ROW]
[ROW][C]0.04[/C][C]10136.8545619913[/C][C]102.035971980958[/C][/ROW]
[ROW][C]0.05[/C][C]10185.8975313909[/C][C]89.3101872085368[/C][/ROW]
[ROW][C]0.06[/C][C]10225.5696360996[/C][C]78.3913241914181[/C][/ROW]
[ROW][C]0.07[/C][C]10257.9762200843[/C][C]71.2914154481342[/C][/ROW]
[ROW][C]0.08[/C][C]10285.1908627972[/C][C]67.0343768092606[/C][/ROW]
[ROW][C]0.09[/C][C]10308.7391978431[/C][C]63.6470023546469[/C][/ROW]
[ROW][C]0.1[/C][C]10329.5276858481[/C][C]59.8456178103233[/C][/ROW]
[ROW][C]0.11[/C][C]10348.0271815671[/C][C]55.4415143085405[/C][/ROW]
[ROW][C]0.12[/C][C]10364.5238111037[/C][C]51.0018576882694[/C][/ROW]
[ROW][C]0.13[/C][C]10379.3110297029[/C][C]47.3311642196964[/C][/ROW]
[ROW][C]0.14[/C][C]10392.7821472061[/C][C]45.2739610277666[/C][/ROW]
[ROW][C]0.15[/C][C]10405.4401663369[/C][C]45.4723080320695[/C][/ROW]
[ROW][C]0.16[/C][C]10417.8599213437[/C][C]48.2729680737638[/C][/ROW]
[ROW][C]0.17[/C][C]10430.6314800468[/C][C]53.6413375349761[/C][/ROW]
[ROW][C]0.18[/C][C]10444.3016495518[/C][C]61.2436194652906[/C][/ROW]
[ROW][C]0.19[/C][C]10459.3218803568[/C][C]70.4907537156302[/C][/ROW]
[ROW][C]0.2[/C][C]10476.0073599328[/C][C]80.6346383183135[/C][/ROW]
[ROW][C]0.21[/C][C]10494.5112173341[/C][C]90.8696225033697[/C][/ROW]
[ROW][C]0.22[/C][C]10514.8169113768[/C][C]100.413495322658[/C][/ROW]
[ROW][C]0.23[/C][C]10536.7498332908[/C][C]108.57603364265[/C][/ROW]
[ROW][C]0.24[/C][C]10560.0061410325[/C][C]114.854184304826[/C][/ROW]
[ROW][C]0.25[/C][C]10584.1938502597[/C][C]118.999191157893[/C][/ROW]
[ROW][C]0.26[/C][C]10608.8792738314[/C][C]120.902016255428[/C][/ROW]
[ROW][C]0.27[/C][C]10633.6316134978[/C][C]120.739857441798[/C][/ROW]
[ROW][C]0.28[/C][C]10658.0598260197[/C][C]118.806193631703[/C][/ROW]
[ROW][C]0.29[/C][C]10681.8382614242[/C][C]115.449704600543[/C][/ROW]
[ROW][C]0.3[/C][C]10704.7202235527[/C][C]111.066742734572[/C][/ROW]
[ROW][C]0.31[/C][C]10726.5408277362[/C][C]106.084828473866[/C][/ROW]
[ROW][C]0.32[/C][C]10747.2119060996[/C][C]100.798470236041[/C][/ROW]
[ROW][C]0.33[/C][C]10766.7121570067[/C][C]95.5096364769844[/C][/ROW]
[ROW][C]0.34[/C][C]10785.0754366809[/C][C]90.4613140072892[/C][/ROW]
[ROW][C]0.35[/C][C]10802.379358591[/C][C]85.857516342465[/C][/ROW]
[ROW][C]0.36[/C][C]10818.7355020193[/C][C]81.7913932028838[/C][/ROW]
[ROW][C]0.37[/C][C]10834.2817484296[/C][C]78.4608108128188[/C][/ROW]
[ROW][C]0.38[/C][C]10849.176667691[/C][C]75.9307889091875[/C][/ROW]
[ROW][C]0.39[/C][C]10863.5954863651[/C][C]74.3162653525386[/C][/ROW]
[ROW][C]0.4[/C][C]10877.7269620053[/C][C]73.6994040846263[/C][/ROW]
[ROW][C]0.41[/C][C]10891.7704226418[/C][C]74.1878912800382[/C][/ROW]
[ROW][C]0.42[/C][C]10905.932275853[/C][C]75.791562341585[/C][/ROW]
[ROW][C]0.43[/C][C]10920.4214231596[/C][C]78.5537982224521[/C][/ROW]
[ROW][C]0.44[/C][C]10935.4432164676[/C][C]82.428062933922[/C][/ROW]
[ROW][C]0.45[/C][C]10951.1918506582[/C][C]87.354750370832[/C][/ROW]
[ROW][C]0.46[/C][C]10967.8413852987[/C][C]93.1680196509226[/C][/ROW]
[ROW][C]0.47[/C][C]10985.5359073973[/C][C]99.6843200353126[/C][/ROW]
[ROW][C]0.48[/C][C]11004.3796539386[/C][C]106.62311726519[/C][/ROW]
[ROW][C]0.49[/C][C]11024.4281633462[/C][C]113.693820783141[/C][/ROW]
[ROW][C]0.5[/C][C]11045.6816670966[/C][C]120.539267032278[/C][/ROW]
[ROW][C]0.51[/C][C]11068.0819177492[/C][C]126.814823281303[/C][/ROW]
[ROW][C]0.52[/C][C]11091.5134472674[/C][C]132.190847343731[/C][/ROW]
[ROW][C]0.53[/C][C]11115.8098617127[/C][C]136.418015729467[/C][/ROW]
[ROW][C]0.54[/C][C]11140.7652464641[/C][C]139.263106134101[/C][/ROW]
[ROW][C]0.55[/C][C]11166.1501562298[/C][C]140.672304247446[/C][/ROW]
[ROW][C]0.56[/C][C]11191.7310916849[/C][C]140.657215618995[/C][/ROW]
[ROW][C]0.57[/C][C]11217.2919118221[/C][C]139.358731639302[/C][/ROW]
[ROW][C]0.58[/C][C]11242.6553649251[/C][C]137.040803905426[/C][/ROW]
[ROW][C]0.59[/C][C]11267.7028681502[/C][C]134.097611470917[/C][/ROW]
[ROW][C]0.6[/C][C]11292.3908089731[/C][C]130.972867185917[/C][/ROW]
[ROW][C]0.61[/C][C]11316.7619287347[/C][C]128.169673768034[/C][/ROW]
[ROW][C]0.62[/C][C]11340.95070857[/C][C]126.219943643108[/C][/ROW]
[ROW][C]0.63[/C][C]11365.1820441282[/C][C]125.654201986635[/C][/ROW]
[ROW][C]0.64[/C][C]11389.7628258855[/C][C]126.898007569188[/C][/ROW]
[ROW][C]0.65[/C][C]11415.0663361979[/C][C]130.285657761852[/C][/ROW]
[ROW][C]0.66[/C][C]11441.5096794735[/C][C]135.965272292951[/C][/ROW]
[ROW][C]0.67[/C][C]11469.5248616569[/C][C]143.932670577676[/C][/ROW]
[ROW][C]0.68[/C][C]11499.5247195408[/C][C]153.918979734521[/C][/ROW]
[ROW][C]0.69[/C][C]11531.8657167944[/C][C]165.479766556836[/C][/ROW]
[ROW][C]0.7[/C][C]11566.8106222644[/C][C]177.979244063232[/C][/ROW]
[ROW][C]0.71[/C][C]11604.4950816764[/C][C]190.645905718444[/C][/ROW]
[ROW][C]0.72[/C][C]11644.9027714973[/C][C]202.589090897987[/C][/ROW]
[ROW][C]0.73[/C][C]11687.8538105782[/C][C]212.941094021356[/C][/ROW]
[ROW][C]0.74[/C][C]11733.0101038141[/C][C]220.91517868853[/C][/ROW]
[ROW][C]0.75[/C][C]11779.8992362058[/C][C]225.894143674385[/C][/ROW]
[ROW][C]0.76[/C][C]11827.9556968374[/C][C]227.5590886753[/C][/ROW]
[ROW][C]0.77[/C][C]11876.5751785696[/C][C]225.880923461747[/C][/ROW]
[ROW][C]0.78[/C][C]11925.1751906358[/C][C]221.144694507448[/C][/ROW]
[ROW][C]0.79[/C][C]11973.2537933105[/C][C]213.935788541601[/C][/ROW]
[ROW][C]0.8[/C][C]12020.4380568782[/C][C]205.020724837302[/C][/ROW]
[ROW][C]0.81[/C][C]12066.5145874645[/C][C]195.264762098504[/C][/ROW]
[ROW][C]0.82[/C][C]12111.4358354854[/C][C]185.528731186683[/C][/ROW]
[ROW][C]0.83[/C][C]12155.2981763991[/C][C]176.506362217312[/C][/ROW]
[ROW][C]0.84[/C][C]12198.2922092336[/C][C]168.641412864453[/C][/ROW]
[ROW][C]0.85[/C][C]12240.6342908126[/C][C]161.985268330988[/C][/ROW]
[ROW][C]0.86[/C][C]12282.5021509771[/C][C]156.152104544728[/C][/ROW]
[ROW][C]0.87[/C][C]12324.0149113693[/C][C]150.477305560627[/C][/ROW]
[ROW][C]0.88[/C][C]12365.3138958955[/C][C]144.332236144717[/C][/ROW]
[ROW][C]0.89[/C][C]12406.809222946[/C][C]137.811006109671[/C][/ROW]
[ROW][C]0.9[/C][C]12449.6562322854[/C][C]132.499096257716[/C][/ROW]
[ROW][C]0.91[/C][C]12496.5172851383[/C][C]132.384518108637[/C][/ROW]
[ROW][C]0.92[/C][C]12552.6353084838[/C][C]144.531206709032[/C][/ROW]
[ROW][C]0.93[/C][C]12627.1244868532[/C][C]178.663352797059[/C][/ROW]
[ROW][C]0.94[/C][C]12734.017941896[/C][C]244.944007524046[/C][/ROW]
[ROW][C]0.95[/C][C]12891.8674857573[/C][C]349.067901528689[/C][/ROW]
[ROW][C]0.96[/C][C]13119.6998212601[/C][C]481.27088807108[/C][/ROW]
[ROW][C]0.97[/C][C]13426.4664713384[/C][C]602.985169576963[/C][/ROW]
[ROW][C]0.98[/C][C]13792.1082823905[/C][C]656.029426009939[/C][/ROW]
[ROW][C]0.99[/C][C]14145.7605075951[/C][C]623.94623161133[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119640&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
0.019947.07407757142114.585638250539
0.0210010.7374970506114.919578472738
0.0310077.5291748855111.78896960982
0.0410136.8545619913102.035971980958
0.0510185.897531390989.3101872085368
0.0610225.569636099678.3913241914181
0.0710257.976220084371.2914154481342
0.0810285.190862797267.0343768092606
0.0910308.739197843163.6470023546469
0.110329.527685848159.8456178103233
0.1110348.027181567155.4415143085405
0.1210364.523811103751.0018576882694
0.1310379.311029702947.3311642196964
0.1410392.782147206145.2739610277666
0.1510405.440166336945.4723080320695
0.1610417.859921343748.2729680737638
0.1710430.631480046853.6413375349761
0.1810444.301649551861.2436194652906
0.1910459.321880356870.4907537156302
0.210476.007359932880.6346383183135
0.2110494.511217334190.8696225033697
0.2210514.8169113768100.413495322658
0.2310536.7498332908108.57603364265
0.2410560.0061410325114.854184304826
0.2510584.1938502597118.999191157893
0.2610608.8792738314120.902016255428
0.2710633.6316134978120.739857441798
0.2810658.0598260197118.806193631703
0.2910681.8382614242115.449704600543
0.310704.7202235527111.066742734572
0.3110726.5408277362106.084828473866
0.3210747.2119060996100.798470236041
0.3310766.712157006795.5096364769844
0.3410785.075436680990.4613140072892
0.3510802.37935859185.857516342465
0.3610818.735502019381.7913932028838
0.3710834.281748429678.4608108128188
0.3810849.17666769175.9307889091875
0.3910863.595486365174.3162653525386
0.410877.726962005373.6994040846263
0.4110891.770422641874.1878912800382
0.4210905.93227585375.791562341585
0.4310920.421423159678.5537982224521
0.4410935.443216467682.428062933922
0.4510951.191850658287.354750370832
0.4610967.841385298793.1680196509226
0.4710985.535907397399.6843200353126
0.4811004.3796539386106.62311726519
0.4911024.4281633462113.693820783141
0.511045.6816670966120.539267032278
0.5111068.0819177492126.814823281303
0.5211091.5134472674132.190847343731
0.5311115.8098617127136.418015729467
0.5411140.7652464641139.263106134101
0.5511166.1501562298140.672304247446
0.5611191.7310916849140.657215618995
0.5711217.2919118221139.358731639302
0.5811242.6553649251137.040803905426
0.5911267.7028681502134.097611470917
0.611292.3908089731130.972867185917
0.6111316.7619287347128.169673768034
0.6211340.95070857126.219943643108
0.6311365.1820441282125.654201986635
0.6411389.7628258855126.898007569188
0.6511415.0663361979130.285657761852
0.6611441.5096794735135.965272292951
0.6711469.5248616569143.932670577676
0.6811499.5247195408153.918979734521
0.6911531.8657167944165.479766556836
0.711566.8106222644177.979244063232
0.7111604.4950816764190.645905718444
0.7211644.9027714973202.589090897987
0.7311687.8538105782212.941094021356
0.7411733.0101038141220.91517868853
0.7511779.8992362058225.894143674385
0.7611827.9556968374227.5590886753
0.7711876.5751785696225.880923461747
0.7811925.1751906358221.144694507448
0.7911973.2537933105213.935788541601
0.812020.4380568782205.020724837302
0.8112066.5145874645195.264762098504
0.8212111.4358354854185.528731186683
0.8312155.2981763991176.506362217312
0.8412198.2922092336168.641412864453
0.8512240.6342908126161.985268330988
0.8612282.5021509771156.152104544728
0.8712324.0149113693150.477305560627
0.8812365.3138958955144.332236144717
0.8912406.809222946137.811006109671
0.912449.6562322854132.499096257716
0.9112496.5172851383132.384518108637
0.9212552.6353084838144.531206709032
0.9312627.1244868532178.663352797059
0.9412734.017941896244.944007524046
0.9512891.8674857573349.067901528689
0.9613119.6998212601481.27088807108
0.9713426.4664713384602.985169576963
0.9813792.1082823905656.029426009939
0.9914145.7605075951623.94623161133


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')