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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Mar 2010 01:50:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/05/t1267779098i05x5ml1pxnr0n1.htm/, Retrieved Sat, 22 Jan 2022 16:54:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73987, Retrieved Sat, 22 Jan 2022 16:54:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - goudk...] [2010-02-07 19:30:00] [eff9c8e59483abf95ad26d00265fce8e]
- RMP   [Notched Boxplots] [Boxplot - Goudpri...] [2010-02-26 18:10:47] [eff9c8e59483abf95ad26d00265fce8e]
- RMP       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2010-03-05 08:50:21] [615289131d9f16e370470ddcc9ade44c] [Current]
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Dataseries X:
25204
24977
24320
22680
22052
21467
21383
21777
21928
21814
22937
23595
20830
19650
19195
19644
18483
18079
19178
18391
18441
18584
20108
20148
19394
17745
17696
17032
16438
15683
15594
15713
15937
16171
15928
16348
15579
15305
15648
14954
15137
15839
16050
15168
17064
16005
14886
14931
14544
13812
13031
12574
11964
11451
11346
11353
10702
10646
10556
10463
10407
10625
10872
10805
10653
10574
10431
10383
10296
10872
10635
10297
10570




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73987&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73987&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110304.188112780623.7525127069658
0.0210322.720452289247.0667452307804
0.0310348.963733631859.0961088641322
0.0410378.481678712263.0698697565181
0.0510408.200725723665.8388797391016
0.0610437.022519867869.953536479618
0.0710464.905521982374.0817519665005
0.0810491.950391645676.5419465679016
0.0910518.092684311277.0019469584451
0.110543.248200855676.626854524173
0.1110567.574828314577.4396049841398
0.1210591.645854268581.8231379733335
0.1310616.492016362191.964950080638
0.1410643.5540990216109.624678296037
0.1510674.6011332584136.068086502651
0.1610711.6498092549172.304642081005
0.1710756.8976652952219.202273965844
0.1810812.6673577601277.557481475678
0.1910881.3517901317347.948694425024
0.210965.3467838162430.692289878845
0.2111066.9575301926525.486454783092
0.2211188.2677634098631.251192431813
0.2311330.9676547717745.796364125496
0.2411496.1479431497865.701399943012
0.2511684.0817982352986.177881220105
0.2611894.02857210061101.36298754090
0.2712124.10052553641204.81687889705
0.2812371.23138396491290.03730016170
0.2912631.27307901911351.41077191189
0.312899.22613700981384.83926533706
0.3113169.58440379301388.28276775028
0.3213436.75209632431362.12792393964
0.3313695.47620858161309.09045860956
0.3413941.23380892191233.82094201144
0.3514170.52251434601142.33831998927
0.3614381.02108595411041.21846292740
0.3714571.6110110707936.858603569587
0.3814742.2735361865834.887894041927
0.3914893.8948961097739.66991684808
0.415028.0222543532654.135239269054
0.4115146.6133145474579.812350820398
0.4215251.8151126724517.096714432229
0.4315345.7951120741465.508690784108
0.4415430.6338769105424.210196372506
0.4515508.2763375603392.336173748918
0.4615580.5299408966369.164146214483
0.4715649.0934587316354.316471711204
0.4815715.5994656624347.832857133547
0.4915781.6553998815349.867516481422
0.515848.8714583305360.772337902717
0.5115918.8673843828380.698799669039
0.5215993.2539598559409.598203790566
0.5316073.5885935194446.963361262862
0.5416161.307891264491.7778702519
0.5516257.6435494172542.536175480761
0.5616363.5311670424597.207185693178
0.5716479.5241897450653.275075150276
0.5816605.7265555743708.023875080564
0.5916741.7570952485758.58602405019
0.616886.7559557337802.358364733039
0.6117039.4383015023837.119174291975
0.6217198.1938574882861.38552810859
0.6317361.2235464609874.533994473002
0.6417526.6979390293876.90422790862
0.6517692.9179469624869.67924605512
0.6617858.4573451403854.884884475426
0.6718022.2698621193834.990801297954
0.6818183.7503652515812.687856434541
0.6918342.7486771444790.45733892405
0.718499.543518492770.498097770154
0.7118654.7903235638754.440502315033
0.7218809.4579624483743.443219772863
0.7318964.7647528214738.233802736512
0.7419122.1145655508739.387952181511
0.7519283.0225285290747.207431487099
0.7619449.0116637377761.65102613136
0.7719621.4618957408782.006777608446
0.7819801.4047455312806.47849407713
0.7919989.2805579032831.917317374743
0.820184.7053104039853.916611524142
0.8120386.3212314639867.471261187661
0.8220591.8173131950867.853055639183
0.8320798.1912475195851.802639802588
0.8421002.2781759302818.780333236178
0.8521201.4988863724771.752214023545
0.8621394.6978532751717.41860438034
0.8721582.8773374587665.62792239502
0.8821769.6183734694627.69846393251
0.8921961.0331734333613.504946338027
0.922165.2081028572627.822655163088
0.9122391.2217448047668.337776255755
0.9222647.8743183419726.961705522015
0.9322942.1705918811792.366049728832
0.9423277.3822101129850.600649692012
0.9523650.3800637979883.575422488495
0.9624048.2326248511867.576583399377
0.9724445.0242628144776.132452565548
0.9824801.049413815596.07193839365
0.9925067.637134484368.660421917259

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10304.1881127806 & 23.7525127069658 \tabularnewline
0.02 & 10322.7204522892 & 47.0667452307804 \tabularnewline
0.03 & 10348.9637336318 & 59.0961088641322 \tabularnewline
0.04 & 10378.4816787122 & 63.0698697565181 \tabularnewline
0.05 & 10408.2007257236 & 65.8388797391016 \tabularnewline
0.06 & 10437.0225198678 & 69.953536479618 \tabularnewline
0.07 & 10464.9055219823 & 74.0817519665005 \tabularnewline
0.08 & 10491.9503916456 & 76.5419465679016 \tabularnewline
0.09 & 10518.0926843112 & 77.0019469584451 \tabularnewline
0.1 & 10543.2482008556 & 76.626854524173 \tabularnewline
0.11 & 10567.5748283145 & 77.4396049841398 \tabularnewline
0.12 & 10591.6458542685 & 81.8231379733335 \tabularnewline
0.13 & 10616.4920163621 & 91.964950080638 \tabularnewline
0.14 & 10643.5540990216 & 109.624678296037 \tabularnewline
0.15 & 10674.6011332584 & 136.068086502651 \tabularnewline
0.16 & 10711.6498092549 & 172.304642081005 \tabularnewline
0.17 & 10756.8976652952 & 219.202273965844 \tabularnewline
0.18 & 10812.6673577601 & 277.557481475678 \tabularnewline
0.19 & 10881.3517901317 & 347.948694425024 \tabularnewline
0.2 & 10965.3467838162 & 430.692289878845 \tabularnewline
0.21 & 11066.9575301926 & 525.486454783092 \tabularnewline
0.22 & 11188.2677634098 & 631.251192431813 \tabularnewline
0.23 & 11330.9676547717 & 745.796364125496 \tabularnewline
0.24 & 11496.1479431497 & 865.701399943012 \tabularnewline
0.25 & 11684.0817982352 & 986.177881220105 \tabularnewline
0.26 & 11894.0285721006 & 1101.36298754090 \tabularnewline
0.27 & 12124.1005255364 & 1204.81687889705 \tabularnewline
0.28 & 12371.2313839649 & 1290.03730016170 \tabularnewline
0.29 & 12631.2730790191 & 1351.41077191189 \tabularnewline
0.3 & 12899.2261370098 & 1384.83926533706 \tabularnewline
0.31 & 13169.5844037930 & 1388.28276775028 \tabularnewline
0.32 & 13436.7520963243 & 1362.12792393964 \tabularnewline
0.33 & 13695.4762085816 & 1309.09045860956 \tabularnewline
0.34 & 13941.2338089219 & 1233.82094201144 \tabularnewline
0.35 & 14170.5225143460 & 1142.33831998927 \tabularnewline
0.36 & 14381.0210859541 & 1041.21846292740 \tabularnewline
0.37 & 14571.6110110707 & 936.858603569587 \tabularnewline
0.38 & 14742.2735361865 & 834.887894041927 \tabularnewline
0.39 & 14893.8948961097 & 739.66991684808 \tabularnewline
0.4 & 15028.0222543532 & 654.135239269054 \tabularnewline
0.41 & 15146.6133145474 & 579.812350820398 \tabularnewline
0.42 & 15251.8151126724 & 517.096714432229 \tabularnewline
0.43 & 15345.7951120741 & 465.508690784108 \tabularnewline
0.44 & 15430.6338769105 & 424.210196372506 \tabularnewline
0.45 & 15508.2763375603 & 392.336173748918 \tabularnewline
0.46 & 15580.5299408966 & 369.164146214483 \tabularnewline
0.47 & 15649.0934587316 & 354.316471711204 \tabularnewline
0.48 & 15715.5994656624 & 347.832857133547 \tabularnewline
0.49 & 15781.6553998815 & 349.867516481422 \tabularnewline
0.5 & 15848.8714583305 & 360.772337902717 \tabularnewline
0.51 & 15918.8673843828 & 380.698799669039 \tabularnewline
0.52 & 15993.2539598559 & 409.598203790566 \tabularnewline
0.53 & 16073.5885935194 & 446.963361262862 \tabularnewline
0.54 & 16161.307891264 & 491.7778702519 \tabularnewline
0.55 & 16257.6435494172 & 542.536175480761 \tabularnewline
0.56 & 16363.5311670424 & 597.207185693178 \tabularnewline
0.57 & 16479.5241897450 & 653.275075150276 \tabularnewline
0.58 & 16605.7265555743 & 708.023875080564 \tabularnewline
0.59 & 16741.7570952485 & 758.58602405019 \tabularnewline
0.6 & 16886.7559557337 & 802.358364733039 \tabularnewline
0.61 & 17039.4383015023 & 837.119174291975 \tabularnewline
0.62 & 17198.1938574882 & 861.38552810859 \tabularnewline
0.63 & 17361.2235464609 & 874.533994473002 \tabularnewline
0.64 & 17526.6979390293 & 876.90422790862 \tabularnewline
0.65 & 17692.9179469624 & 869.67924605512 \tabularnewline
0.66 & 17858.4573451403 & 854.884884475426 \tabularnewline
0.67 & 18022.2698621193 & 834.990801297954 \tabularnewline
0.68 & 18183.7503652515 & 812.687856434541 \tabularnewline
0.69 & 18342.7486771444 & 790.45733892405 \tabularnewline
0.7 & 18499.543518492 & 770.498097770154 \tabularnewline
0.71 & 18654.7903235638 & 754.440502315033 \tabularnewline
0.72 & 18809.4579624483 & 743.443219772863 \tabularnewline
0.73 & 18964.7647528214 & 738.233802736512 \tabularnewline
0.74 & 19122.1145655508 & 739.387952181511 \tabularnewline
0.75 & 19283.0225285290 & 747.207431487099 \tabularnewline
0.76 & 19449.0116637377 & 761.65102613136 \tabularnewline
0.77 & 19621.4618957408 & 782.006777608446 \tabularnewline
0.78 & 19801.4047455312 & 806.47849407713 \tabularnewline
0.79 & 19989.2805579032 & 831.917317374743 \tabularnewline
0.8 & 20184.7053104039 & 853.916611524142 \tabularnewline
0.81 & 20386.3212314639 & 867.471261187661 \tabularnewline
0.82 & 20591.8173131950 & 867.853055639183 \tabularnewline
0.83 & 20798.1912475195 & 851.802639802588 \tabularnewline
0.84 & 21002.2781759302 & 818.780333236178 \tabularnewline
0.85 & 21201.4988863724 & 771.752214023545 \tabularnewline
0.86 & 21394.6978532751 & 717.41860438034 \tabularnewline
0.87 & 21582.8773374587 & 665.62792239502 \tabularnewline
0.88 & 21769.6183734694 & 627.69846393251 \tabularnewline
0.89 & 21961.0331734333 & 613.504946338027 \tabularnewline
0.9 & 22165.2081028572 & 627.822655163088 \tabularnewline
0.91 & 22391.2217448047 & 668.337776255755 \tabularnewline
0.92 & 22647.8743183419 & 726.961705522015 \tabularnewline
0.93 & 22942.1705918811 & 792.366049728832 \tabularnewline
0.94 & 23277.3822101129 & 850.600649692012 \tabularnewline
0.95 & 23650.3800637979 & 883.575422488495 \tabularnewline
0.96 & 24048.2326248511 & 867.576583399377 \tabularnewline
0.97 & 24445.0242628144 & 776.132452565548 \tabularnewline
0.98 & 24801.049413815 & 596.07193839365 \tabularnewline
0.99 & 25067.637134484 & 368.660421917259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73987&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]10304.1881127806[/C][C]23.7525127069658[/C][/ROW]
[ROW][C]0.02[/C][C]10322.7204522892[/C][C]47.0667452307804[/C][/ROW]
[ROW][C]0.03[/C][C]10348.9637336318[/C][C]59.0961088641322[/C][/ROW]
[ROW][C]0.04[/C][C]10378.4816787122[/C][C]63.0698697565181[/C][/ROW]
[ROW][C]0.05[/C][C]10408.2007257236[/C][C]65.8388797391016[/C][/ROW]
[ROW][C]0.06[/C][C]10437.0225198678[/C][C]69.953536479618[/C][/ROW]
[ROW][C]0.07[/C][C]10464.9055219823[/C][C]74.0817519665005[/C][/ROW]
[ROW][C]0.08[/C][C]10491.9503916456[/C][C]76.5419465679016[/C][/ROW]
[ROW][C]0.09[/C][C]10518.0926843112[/C][C]77.0019469584451[/C][/ROW]
[ROW][C]0.1[/C][C]10543.2482008556[/C][C]76.626854524173[/C][/ROW]
[ROW][C]0.11[/C][C]10567.5748283145[/C][C]77.4396049841398[/C][/ROW]
[ROW][C]0.12[/C][C]10591.6458542685[/C][C]81.8231379733335[/C][/ROW]
[ROW][C]0.13[/C][C]10616.4920163621[/C][C]91.964950080638[/C][/ROW]
[ROW][C]0.14[/C][C]10643.5540990216[/C][C]109.624678296037[/C][/ROW]
[ROW][C]0.15[/C][C]10674.6011332584[/C][C]136.068086502651[/C][/ROW]
[ROW][C]0.16[/C][C]10711.6498092549[/C][C]172.304642081005[/C][/ROW]
[ROW][C]0.17[/C][C]10756.8976652952[/C][C]219.202273965844[/C][/ROW]
[ROW][C]0.18[/C][C]10812.6673577601[/C][C]277.557481475678[/C][/ROW]
[ROW][C]0.19[/C][C]10881.3517901317[/C][C]347.948694425024[/C][/ROW]
[ROW][C]0.2[/C][C]10965.3467838162[/C][C]430.692289878845[/C][/ROW]
[ROW][C]0.21[/C][C]11066.9575301926[/C][C]525.486454783092[/C][/ROW]
[ROW][C]0.22[/C][C]11188.2677634098[/C][C]631.251192431813[/C][/ROW]
[ROW][C]0.23[/C][C]11330.9676547717[/C][C]745.796364125496[/C][/ROW]
[ROW][C]0.24[/C][C]11496.1479431497[/C][C]865.701399943012[/C][/ROW]
[ROW][C]0.25[/C][C]11684.0817982352[/C][C]986.177881220105[/C][/ROW]
[ROW][C]0.26[/C][C]11894.0285721006[/C][C]1101.36298754090[/C][/ROW]
[ROW][C]0.27[/C][C]12124.1005255364[/C][C]1204.81687889705[/C][/ROW]
[ROW][C]0.28[/C][C]12371.2313839649[/C][C]1290.03730016170[/C][/ROW]
[ROW][C]0.29[/C][C]12631.2730790191[/C][C]1351.41077191189[/C][/ROW]
[ROW][C]0.3[/C][C]12899.2261370098[/C][C]1384.83926533706[/C][/ROW]
[ROW][C]0.31[/C][C]13169.5844037930[/C][C]1388.28276775028[/C][/ROW]
[ROW][C]0.32[/C][C]13436.7520963243[/C][C]1362.12792393964[/C][/ROW]
[ROW][C]0.33[/C][C]13695.4762085816[/C][C]1309.09045860956[/C][/ROW]
[ROW][C]0.34[/C][C]13941.2338089219[/C][C]1233.82094201144[/C][/ROW]
[ROW][C]0.35[/C][C]14170.5225143460[/C][C]1142.33831998927[/C][/ROW]
[ROW][C]0.36[/C][C]14381.0210859541[/C][C]1041.21846292740[/C][/ROW]
[ROW][C]0.37[/C][C]14571.6110110707[/C][C]936.858603569587[/C][/ROW]
[ROW][C]0.38[/C][C]14742.2735361865[/C][C]834.887894041927[/C][/ROW]
[ROW][C]0.39[/C][C]14893.8948961097[/C][C]739.66991684808[/C][/ROW]
[ROW][C]0.4[/C][C]15028.0222543532[/C][C]654.135239269054[/C][/ROW]
[ROW][C]0.41[/C][C]15146.6133145474[/C][C]579.812350820398[/C][/ROW]
[ROW][C]0.42[/C][C]15251.8151126724[/C][C]517.096714432229[/C][/ROW]
[ROW][C]0.43[/C][C]15345.7951120741[/C][C]465.508690784108[/C][/ROW]
[ROW][C]0.44[/C][C]15430.6338769105[/C][C]424.210196372506[/C][/ROW]
[ROW][C]0.45[/C][C]15508.2763375603[/C][C]392.336173748918[/C][/ROW]
[ROW][C]0.46[/C][C]15580.5299408966[/C][C]369.164146214483[/C][/ROW]
[ROW][C]0.47[/C][C]15649.0934587316[/C][C]354.316471711204[/C][/ROW]
[ROW][C]0.48[/C][C]15715.5994656624[/C][C]347.832857133547[/C][/ROW]
[ROW][C]0.49[/C][C]15781.6553998815[/C][C]349.867516481422[/C][/ROW]
[ROW][C]0.5[/C][C]15848.8714583305[/C][C]360.772337902717[/C][/ROW]
[ROW][C]0.51[/C][C]15918.8673843828[/C][C]380.698799669039[/C][/ROW]
[ROW][C]0.52[/C][C]15993.2539598559[/C][C]409.598203790566[/C][/ROW]
[ROW][C]0.53[/C][C]16073.5885935194[/C][C]446.963361262862[/C][/ROW]
[ROW][C]0.54[/C][C]16161.307891264[/C][C]491.7778702519[/C][/ROW]
[ROW][C]0.55[/C][C]16257.6435494172[/C][C]542.536175480761[/C][/ROW]
[ROW][C]0.56[/C][C]16363.5311670424[/C][C]597.207185693178[/C][/ROW]
[ROW][C]0.57[/C][C]16479.5241897450[/C][C]653.275075150276[/C][/ROW]
[ROW][C]0.58[/C][C]16605.7265555743[/C][C]708.023875080564[/C][/ROW]
[ROW][C]0.59[/C][C]16741.7570952485[/C][C]758.58602405019[/C][/ROW]
[ROW][C]0.6[/C][C]16886.7559557337[/C][C]802.358364733039[/C][/ROW]
[ROW][C]0.61[/C][C]17039.4383015023[/C][C]837.119174291975[/C][/ROW]
[ROW][C]0.62[/C][C]17198.1938574882[/C][C]861.38552810859[/C][/ROW]
[ROW][C]0.63[/C][C]17361.2235464609[/C][C]874.533994473002[/C][/ROW]
[ROW][C]0.64[/C][C]17526.6979390293[/C][C]876.90422790862[/C][/ROW]
[ROW][C]0.65[/C][C]17692.9179469624[/C][C]869.67924605512[/C][/ROW]
[ROW][C]0.66[/C][C]17858.4573451403[/C][C]854.884884475426[/C][/ROW]
[ROW][C]0.67[/C][C]18022.2698621193[/C][C]834.990801297954[/C][/ROW]
[ROW][C]0.68[/C][C]18183.7503652515[/C][C]812.687856434541[/C][/ROW]
[ROW][C]0.69[/C][C]18342.7486771444[/C][C]790.45733892405[/C][/ROW]
[ROW][C]0.7[/C][C]18499.543518492[/C][C]770.498097770154[/C][/ROW]
[ROW][C]0.71[/C][C]18654.7903235638[/C][C]754.440502315033[/C][/ROW]
[ROW][C]0.72[/C][C]18809.4579624483[/C][C]743.443219772863[/C][/ROW]
[ROW][C]0.73[/C][C]18964.7647528214[/C][C]738.233802736512[/C][/ROW]
[ROW][C]0.74[/C][C]19122.1145655508[/C][C]739.387952181511[/C][/ROW]
[ROW][C]0.75[/C][C]19283.0225285290[/C][C]747.207431487099[/C][/ROW]
[ROW][C]0.76[/C][C]19449.0116637377[/C][C]761.65102613136[/C][/ROW]
[ROW][C]0.77[/C][C]19621.4618957408[/C][C]782.006777608446[/C][/ROW]
[ROW][C]0.78[/C][C]19801.4047455312[/C][C]806.47849407713[/C][/ROW]
[ROW][C]0.79[/C][C]19989.2805579032[/C][C]831.917317374743[/C][/ROW]
[ROW][C]0.8[/C][C]20184.7053104039[/C][C]853.916611524142[/C][/ROW]
[ROW][C]0.81[/C][C]20386.3212314639[/C][C]867.471261187661[/C][/ROW]
[ROW][C]0.82[/C][C]20591.8173131950[/C][C]867.853055639183[/C][/ROW]
[ROW][C]0.83[/C][C]20798.1912475195[/C][C]851.802639802588[/C][/ROW]
[ROW][C]0.84[/C][C]21002.2781759302[/C][C]818.780333236178[/C][/ROW]
[ROW][C]0.85[/C][C]21201.4988863724[/C][C]771.752214023545[/C][/ROW]
[ROW][C]0.86[/C][C]21394.6978532751[/C][C]717.41860438034[/C][/ROW]
[ROW][C]0.87[/C][C]21582.8773374587[/C][C]665.62792239502[/C][/ROW]
[ROW][C]0.88[/C][C]21769.6183734694[/C][C]627.69846393251[/C][/ROW]
[ROW][C]0.89[/C][C]21961.0331734333[/C][C]613.504946338027[/C][/ROW]
[ROW][C]0.9[/C][C]22165.2081028572[/C][C]627.822655163088[/C][/ROW]
[ROW][C]0.91[/C][C]22391.2217448047[/C][C]668.337776255755[/C][/ROW]
[ROW][C]0.92[/C][C]22647.8743183419[/C][C]726.961705522015[/C][/ROW]
[ROW][C]0.93[/C][C]22942.1705918811[/C][C]792.366049728832[/C][/ROW]
[ROW][C]0.94[/C][C]23277.3822101129[/C][C]850.600649692012[/C][/ROW]
[ROW][C]0.95[/C][C]23650.3800637979[/C][C]883.575422488495[/C][/ROW]
[ROW][C]0.96[/C][C]24048.2326248511[/C][C]867.576583399377[/C][/ROW]
[ROW][C]0.97[/C][C]24445.0242628144[/C][C]776.132452565548[/C][/ROW]
[ROW][C]0.98[/C][C]24801.049413815[/C][C]596.07193839365[/C][/ROW]
[ROW][C]0.99[/C][C]25067.637134484[/C][C]368.660421917259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73987&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110304.188112780623.7525127069658
0.0210322.720452289247.0667452307804
0.0310348.963733631859.0961088641322
0.0410378.481678712263.0698697565181
0.0510408.200725723665.8388797391016
0.0610437.022519867869.953536479618
0.0710464.905521982374.0817519665005
0.0810491.950391645676.5419465679016
0.0910518.092684311277.0019469584451
0.110543.248200855676.626854524173
0.1110567.574828314577.4396049841398
0.1210591.645854268581.8231379733335
0.1310616.492016362191.964950080638
0.1410643.5540990216109.624678296037
0.1510674.6011332584136.068086502651
0.1610711.6498092549172.304642081005
0.1710756.8976652952219.202273965844
0.1810812.6673577601277.557481475678
0.1910881.3517901317347.948694425024
0.210965.3467838162430.692289878845
0.2111066.9575301926525.486454783092
0.2211188.2677634098631.251192431813
0.2311330.9676547717745.796364125496
0.2411496.1479431497865.701399943012
0.2511684.0817982352986.177881220105
0.2611894.02857210061101.36298754090
0.2712124.10052553641204.81687889705
0.2812371.23138396491290.03730016170
0.2912631.27307901911351.41077191189
0.312899.22613700981384.83926533706
0.3113169.58440379301388.28276775028
0.3213436.75209632431362.12792393964
0.3313695.47620858161309.09045860956
0.3413941.23380892191233.82094201144
0.3514170.52251434601142.33831998927
0.3614381.02108595411041.21846292740
0.3714571.6110110707936.858603569587
0.3814742.2735361865834.887894041927
0.3914893.8948961097739.66991684808
0.415028.0222543532654.135239269054
0.4115146.6133145474579.812350820398
0.4215251.8151126724517.096714432229
0.4315345.7951120741465.508690784108
0.4415430.6338769105424.210196372506
0.4515508.2763375603392.336173748918
0.4615580.5299408966369.164146214483
0.4715649.0934587316354.316471711204
0.4815715.5994656624347.832857133547
0.4915781.6553998815349.867516481422
0.515848.8714583305360.772337902717
0.5115918.8673843828380.698799669039
0.5215993.2539598559409.598203790566
0.5316073.5885935194446.963361262862
0.5416161.307891264491.7778702519
0.5516257.6435494172542.536175480761
0.5616363.5311670424597.207185693178
0.5716479.5241897450653.275075150276
0.5816605.7265555743708.023875080564
0.5916741.7570952485758.58602405019
0.616886.7559557337802.358364733039
0.6117039.4383015023837.119174291975
0.6217198.1938574882861.38552810859
0.6317361.2235464609874.533994473002
0.6417526.6979390293876.90422790862
0.6517692.9179469624869.67924605512
0.6617858.4573451403854.884884475426
0.6718022.2698621193834.990801297954
0.6818183.7503652515812.687856434541
0.6918342.7486771444790.45733892405
0.718499.543518492770.498097770154
0.7118654.7903235638754.440502315033
0.7218809.4579624483743.443219772863
0.7318964.7647528214738.233802736512
0.7419122.1145655508739.387952181511
0.7519283.0225285290747.207431487099
0.7619449.0116637377761.65102613136
0.7719621.4618957408782.006777608446
0.7819801.4047455312806.47849407713
0.7919989.2805579032831.917317374743
0.820184.7053104039853.916611524142
0.8120386.3212314639867.471261187661
0.8220591.8173131950867.853055639183
0.8320798.1912475195851.802639802588
0.8421002.2781759302818.780333236178
0.8521201.4988863724771.752214023545
0.8621394.6978532751717.41860438034
0.8721582.8773374587665.62792239502
0.8821769.6183734694627.69846393251
0.8921961.0331734333613.504946338027
0.922165.2081028572627.822655163088
0.9122391.2217448047668.337776255755
0.9222647.8743183419726.961705522015
0.9322942.1705918811792.366049728832
0.9423277.3822101129850.600649692012
0.9523650.3800637979883.575422488495
0.9624048.2326248511867.576583399377
0.9724445.0242628144776.132452565548
0.9824801.049413815596.07193839365
0.9925067.637134484368.660421917259



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')