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of Irreproducible Research!

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 Tue, 24 May 2022 12:31:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73987, Retrieved Tue, 24 May 2022 12:31:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact175
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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

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

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

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')