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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 computationSat, 06 Mar 2010 06:05:39 -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/06/t1267880815uqkq32rrqm2r6ta.htm/, Retrieved Sun, 25 Sep 2022 11:14:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74039, Retrieved Sun, 25 Sep 2022 11:14:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact189
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Verkoopcijfers] [2010-03-06 13:05:39] [202f3200e40254c22df549da03ba92fb] [Current]
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Dataseries X:
68897
38683
44720
39525
45315
50380
40600
36279
42438
38064
31879
11379
70249
39253
47060
41697
38708
49267
39018
32228
40870
39383
34571
12066
70938
34077
45409
40809
37013
44953
37848
32745
43412
34931
33008
8620
68906
39556
50669
36432
40891
48428
36222
33425
39401
37967
34801
12657
69116
41519
51321
38529
41547
52073
38401
40898
40439
41888
37898
8771
68184
50530
47221
41756
45633
48138
39486
39341
41117
41629
29722
7054
56676
34870
35117
30169
30936
35699
33228
27733
33666
35429
27438
8170
62557




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=74039&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=74039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74039&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
0.017487.80877603104965.66746476664
0.028174.533867512171110.86220594228
0.039036.222836553921835.62302348736
0.0410181.03479118323037.88031172713
0.0511739.21541448964522.29043328796
0.0613753.93984513576005.40904154084
0.0716155.19614789357145.86035678527
0.0818779.34793176977674.63034334741
0.0921416.79616946787511.50660943994
0.123870.73454877246780.42696895052
0.1126003.86514353035727.509937036
0.1227756.97322197224608.07030769754
0.1329139.39430135183605.89570367743
0.1430203.66891491232807.95920957608
0.1531018.77845416722222.28747984058
0.1631650.98472660151813.25750587220
0.1732154.40829699091533.70210817308
0.1832569.0587470731343.16484412127
0.1932922.79384663901213.01391072329
0.233234.44110668721124.02963569648
0.2133516.62712511981063.23178092005
0.2233777.87969806451021.50860081156
0.2334024.0771356242993.079449707049
0.2434259.4452450209974.779579564526
0.2534487.2499876801965.604939472338
0.2634710.2521617031965.959825218343
0.2734930.9461840021976.30940166545
0.2835151.6049080146996.439561692302
0.2935374.17579593721024.67980688014
0.335600.09687254951057.85603845598
0.3135830.10892115741091.95874747845
0.3236064.12997207241122.29351399539
0.3336301.23413869861144.61190929234
0.3436539.74744733751155.47751879935
0.3536777.44604557451152.79558785610
0.3637011.82213521841135.80365508053
0.3737240.37258917291105.37457466272
0.3837460.86485576451063.67131154774
0.3937671.54328464861013.71035299518
0.437871.2539796861959.030494270807
0.4138059.4841175695902.99923740904
0.4238236.3281455348848.734835928353
0.4338402.4044616516798.667027711651
0.4438558.7495946269754.488689809041
0.4538706.7123412253717.494904904826
0.4638847.8600523426688.532540237515
0.4738983.8973211266668.151545008448
0.4839116.5881934293656.815488687834
0.4939247.6700759272654.429451803849
0.539378.7518657379660.289877647619
0.5139511.1988733647672.706575767151
0.5239646.0190820279689.400684663204
0.5339783.7745321247707.468996181214
0.5439924.5442874498724.010018880689
0.5540067.9599033255736.214315703761
0.5640213.3218040931742.699206147107
0.5740359.7891070805743.025397158952
0.5840506.6207877531738.310685589906
0.5940653.4364011615731.084018967582
0.640800.4613287973725.280590247114
0.6140948.723593035725.585210621315
0.6241100.173968726737.218889289406
0.6341257.706014345765.394954104466
0.6441425.0574417776814.219399098496
0.6541606.5813895838886.241170243615
0.6641806.889654866981.371974998861
0.6742030.39252011461096.69699698096
0.6842280.78981195591226.50110690949
0.6942560.59744496851362.84559251371
0.742870.81030872411496.68799357382
0.7143210.79317921281619.15012013138
0.7243578.45006097081723.43453027766
0.7343970.65466205491805.67822336354
0.7444383.84940887181865.69408561576
0.7544814.66463129481906.88306569631
0.7645260.39892633071934.43499695084
0.7745719.24999592871953.94849399724
0.7846190.28835821761969.48816921349
0.7946673.30349817251982.89255195060
0.847168.79194783331994.49067838336
0.8147678.46201851032005.53730481494
0.8248206.6533552442022.32717080342
0.8348762.94456720772061.34887990281
0.8449365.86140318292155.29020180485
0.8550046.92550243722354.96268001969
0.8650853.32461084962721.12327424333
0.8751846.50269125573299.24944862478
0.8853093.58095134674087.2303513109
0.8954649.64851221935009.71448194382
0.956532.41484985025907.55045106995
0.9158696.34980809416555.43153399935
0.9261019.16157517656720.18010862685
0.9363314.9872213576255.7935925713
0.9465381.16668403245197.76239729375
0.9567067.62223656853795.42943255672
0.9668336.48116542472434.3857045993
0.9769269.95735617391465.54554747166
0.9870001.3241128324993.147118301058
0.9970589.5729850101783.317600259282

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7487.80877603104 & 965.66746476664 \tabularnewline
0.02 & 8174.53386751217 & 1110.86220594228 \tabularnewline
0.03 & 9036.22283655392 & 1835.62302348736 \tabularnewline
0.04 & 10181.0347911832 & 3037.88031172713 \tabularnewline
0.05 & 11739.2154144896 & 4522.29043328796 \tabularnewline
0.06 & 13753.9398451357 & 6005.40904154084 \tabularnewline
0.07 & 16155.1961478935 & 7145.86035678527 \tabularnewline
0.08 & 18779.3479317697 & 7674.63034334741 \tabularnewline
0.09 & 21416.7961694678 & 7511.50660943994 \tabularnewline
0.1 & 23870.7345487724 & 6780.42696895052 \tabularnewline
0.11 & 26003.8651435303 & 5727.509937036 \tabularnewline
0.12 & 27756.9732219722 & 4608.07030769754 \tabularnewline
0.13 & 29139.3943013518 & 3605.89570367743 \tabularnewline
0.14 & 30203.6689149123 & 2807.95920957608 \tabularnewline
0.15 & 31018.7784541672 & 2222.28747984058 \tabularnewline
0.16 & 31650.9847266015 & 1813.25750587220 \tabularnewline
0.17 & 32154.4082969909 & 1533.70210817308 \tabularnewline
0.18 & 32569.058747073 & 1343.16484412127 \tabularnewline
0.19 & 32922.7938466390 & 1213.01391072329 \tabularnewline
0.2 & 33234.4411066872 & 1124.02963569648 \tabularnewline
0.21 & 33516.6271251198 & 1063.23178092005 \tabularnewline
0.22 & 33777.8796980645 & 1021.50860081156 \tabularnewline
0.23 & 34024.0771356242 & 993.079449707049 \tabularnewline
0.24 & 34259.4452450209 & 974.779579564526 \tabularnewline
0.25 & 34487.2499876801 & 965.604939472338 \tabularnewline
0.26 & 34710.2521617031 & 965.959825218343 \tabularnewline
0.27 & 34930.9461840021 & 976.30940166545 \tabularnewline
0.28 & 35151.6049080146 & 996.439561692302 \tabularnewline
0.29 & 35374.1757959372 & 1024.67980688014 \tabularnewline
0.3 & 35600.0968725495 & 1057.85603845598 \tabularnewline
0.31 & 35830.1089211574 & 1091.95874747845 \tabularnewline
0.32 & 36064.1299720724 & 1122.29351399539 \tabularnewline
0.33 & 36301.2341386986 & 1144.61190929234 \tabularnewline
0.34 & 36539.7474473375 & 1155.47751879935 \tabularnewline
0.35 & 36777.4460455745 & 1152.79558785610 \tabularnewline
0.36 & 37011.8221352184 & 1135.80365508053 \tabularnewline
0.37 & 37240.3725891729 & 1105.37457466272 \tabularnewline
0.38 & 37460.8648557645 & 1063.67131154774 \tabularnewline
0.39 & 37671.5432846486 & 1013.71035299518 \tabularnewline
0.4 & 37871.2539796861 & 959.030494270807 \tabularnewline
0.41 & 38059.4841175695 & 902.99923740904 \tabularnewline
0.42 & 38236.3281455348 & 848.734835928353 \tabularnewline
0.43 & 38402.4044616516 & 798.667027711651 \tabularnewline
0.44 & 38558.7495946269 & 754.488689809041 \tabularnewline
0.45 & 38706.7123412253 & 717.494904904826 \tabularnewline
0.46 & 38847.8600523426 & 688.532540237515 \tabularnewline
0.47 & 38983.8973211266 & 668.151545008448 \tabularnewline
0.48 & 39116.5881934293 & 656.815488687834 \tabularnewline
0.49 & 39247.6700759272 & 654.429451803849 \tabularnewline
0.5 & 39378.7518657379 & 660.289877647619 \tabularnewline
0.51 & 39511.1988733647 & 672.706575767151 \tabularnewline
0.52 & 39646.0190820279 & 689.400684663204 \tabularnewline
0.53 & 39783.7745321247 & 707.468996181214 \tabularnewline
0.54 & 39924.5442874498 & 724.010018880689 \tabularnewline
0.55 & 40067.9599033255 & 736.214315703761 \tabularnewline
0.56 & 40213.3218040931 & 742.699206147107 \tabularnewline
0.57 & 40359.7891070805 & 743.025397158952 \tabularnewline
0.58 & 40506.6207877531 & 738.310685589906 \tabularnewline
0.59 & 40653.4364011615 & 731.084018967582 \tabularnewline
0.6 & 40800.4613287973 & 725.280590247114 \tabularnewline
0.61 & 40948.723593035 & 725.585210621315 \tabularnewline
0.62 & 41100.173968726 & 737.218889289406 \tabularnewline
0.63 & 41257.706014345 & 765.394954104466 \tabularnewline
0.64 & 41425.0574417776 & 814.219399098496 \tabularnewline
0.65 & 41606.5813895838 & 886.241170243615 \tabularnewline
0.66 & 41806.889654866 & 981.371974998861 \tabularnewline
0.67 & 42030.3925201146 & 1096.69699698096 \tabularnewline
0.68 & 42280.7898119559 & 1226.50110690949 \tabularnewline
0.69 & 42560.5974449685 & 1362.84559251371 \tabularnewline
0.7 & 42870.8103087241 & 1496.68799357382 \tabularnewline
0.71 & 43210.7931792128 & 1619.15012013138 \tabularnewline
0.72 & 43578.4500609708 & 1723.43453027766 \tabularnewline
0.73 & 43970.6546620549 & 1805.67822336354 \tabularnewline
0.74 & 44383.8494088718 & 1865.69408561576 \tabularnewline
0.75 & 44814.6646312948 & 1906.88306569631 \tabularnewline
0.76 & 45260.3989263307 & 1934.43499695084 \tabularnewline
0.77 & 45719.2499959287 & 1953.94849399724 \tabularnewline
0.78 & 46190.2883582176 & 1969.48816921349 \tabularnewline
0.79 & 46673.3034981725 & 1982.89255195060 \tabularnewline
0.8 & 47168.7919478333 & 1994.49067838336 \tabularnewline
0.81 & 47678.4620185103 & 2005.53730481494 \tabularnewline
0.82 & 48206.653355244 & 2022.32717080342 \tabularnewline
0.83 & 48762.9445672077 & 2061.34887990281 \tabularnewline
0.84 & 49365.8614031829 & 2155.29020180485 \tabularnewline
0.85 & 50046.9255024372 & 2354.96268001969 \tabularnewline
0.86 & 50853.3246108496 & 2721.12327424333 \tabularnewline
0.87 & 51846.5026912557 & 3299.24944862478 \tabularnewline
0.88 & 53093.5809513467 & 4087.2303513109 \tabularnewline
0.89 & 54649.6485122193 & 5009.71448194382 \tabularnewline
0.9 & 56532.4148498502 & 5907.55045106995 \tabularnewline
0.91 & 58696.3498080941 & 6555.43153399935 \tabularnewline
0.92 & 61019.1615751765 & 6720.18010862685 \tabularnewline
0.93 & 63314.987221357 & 6255.7935925713 \tabularnewline
0.94 & 65381.1666840324 & 5197.76239729375 \tabularnewline
0.95 & 67067.6222365685 & 3795.42943255672 \tabularnewline
0.96 & 68336.4811654247 & 2434.3857045993 \tabularnewline
0.97 & 69269.9573561739 & 1465.54554747166 \tabularnewline
0.98 & 70001.3241128324 & 993.147118301058 \tabularnewline
0.99 & 70589.5729850101 & 783.317600259282 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74039&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]7487.80877603104[/C][C]965.66746476664[/C][/ROW]
[ROW][C]0.02[/C][C]8174.53386751217[/C][C]1110.86220594228[/C][/ROW]
[ROW][C]0.03[/C][C]9036.22283655392[/C][C]1835.62302348736[/C][/ROW]
[ROW][C]0.04[/C][C]10181.0347911832[/C][C]3037.88031172713[/C][/ROW]
[ROW][C]0.05[/C][C]11739.2154144896[/C][C]4522.29043328796[/C][/ROW]
[ROW][C]0.06[/C][C]13753.9398451357[/C][C]6005.40904154084[/C][/ROW]
[ROW][C]0.07[/C][C]16155.1961478935[/C][C]7145.86035678527[/C][/ROW]
[ROW][C]0.08[/C][C]18779.3479317697[/C][C]7674.63034334741[/C][/ROW]
[ROW][C]0.09[/C][C]21416.7961694678[/C][C]7511.50660943994[/C][/ROW]
[ROW][C]0.1[/C][C]23870.7345487724[/C][C]6780.42696895052[/C][/ROW]
[ROW][C]0.11[/C][C]26003.8651435303[/C][C]5727.509937036[/C][/ROW]
[ROW][C]0.12[/C][C]27756.9732219722[/C][C]4608.07030769754[/C][/ROW]
[ROW][C]0.13[/C][C]29139.3943013518[/C][C]3605.89570367743[/C][/ROW]
[ROW][C]0.14[/C][C]30203.6689149123[/C][C]2807.95920957608[/C][/ROW]
[ROW][C]0.15[/C][C]31018.7784541672[/C][C]2222.28747984058[/C][/ROW]
[ROW][C]0.16[/C][C]31650.9847266015[/C][C]1813.25750587220[/C][/ROW]
[ROW][C]0.17[/C][C]32154.4082969909[/C][C]1533.70210817308[/C][/ROW]
[ROW][C]0.18[/C][C]32569.058747073[/C][C]1343.16484412127[/C][/ROW]
[ROW][C]0.19[/C][C]32922.7938466390[/C][C]1213.01391072329[/C][/ROW]
[ROW][C]0.2[/C][C]33234.4411066872[/C][C]1124.02963569648[/C][/ROW]
[ROW][C]0.21[/C][C]33516.6271251198[/C][C]1063.23178092005[/C][/ROW]
[ROW][C]0.22[/C][C]33777.8796980645[/C][C]1021.50860081156[/C][/ROW]
[ROW][C]0.23[/C][C]34024.0771356242[/C][C]993.079449707049[/C][/ROW]
[ROW][C]0.24[/C][C]34259.4452450209[/C][C]974.779579564526[/C][/ROW]
[ROW][C]0.25[/C][C]34487.2499876801[/C][C]965.604939472338[/C][/ROW]
[ROW][C]0.26[/C][C]34710.2521617031[/C][C]965.959825218343[/C][/ROW]
[ROW][C]0.27[/C][C]34930.9461840021[/C][C]976.30940166545[/C][/ROW]
[ROW][C]0.28[/C][C]35151.6049080146[/C][C]996.439561692302[/C][/ROW]
[ROW][C]0.29[/C][C]35374.1757959372[/C][C]1024.67980688014[/C][/ROW]
[ROW][C]0.3[/C][C]35600.0968725495[/C][C]1057.85603845598[/C][/ROW]
[ROW][C]0.31[/C][C]35830.1089211574[/C][C]1091.95874747845[/C][/ROW]
[ROW][C]0.32[/C][C]36064.1299720724[/C][C]1122.29351399539[/C][/ROW]
[ROW][C]0.33[/C][C]36301.2341386986[/C][C]1144.61190929234[/C][/ROW]
[ROW][C]0.34[/C][C]36539.7474473375[/C][C]1155.47751879935[/C][/ROW]
[ROW][C]0.35[/C][C]36777.4460455745[/C][C]1152.79558785610[/C][/ROW]
[ROW][C]0.36[/C][C]37011.8221352184[/C][C]1135.80365508053[/C][/ROW]
[ROW][C]0.37[/C][C]37240.3725891729[/C][C]1105.37457466272[/C][/ROW]
[ROW][C]0.38[/C][C]37460.8648557645[/C][C]1063.67131154774[/C][/ROW]
[ROW][C]0.39[/C][C]37671.5432846486[/C][C]1013.71035299518[/C][/ROW]
[ROW][C]0.4[/C][C]37871.2539796861[/C][C]959.030494270807[/C][/ROW]
[ROW][C]0.41[/C][C]38059.4841175695[/C][C]902.99923740904[/C][/ROW]
[ROW][C]0.42[/C][C]38236.3281455348[/C][C]848.734835928353[/C][/ROW]
[ROW][C]0.43[/C][C]38402.4044616516[/C][C]798.667027711651[/C][/ROW]
[ROW][C]0.44[/C][C]38558.7495946269[/C][C]754.488689809041[/C][/ROW]
[ROW][C]0.45[/C][C]38706.7123412253[/C][C]717.494904904826[/C][/ROW]
[ROW][C]0.46[/C][C]38847.8600523426[/C][C]688.532540237515[/C][/ROW]
[ROW][C]0.47[/C][C]38983.8973211266[/C][C]668.151545008448[/C][/ROW]
[ROW][C]0.48[/C][C]39116.5881934293[/C][C]656.815488687834[/C][/ROW]
[ROW][C]0.49[/C][C]39247.6700759272[/C][C]654.429451803849[/C][/ROW]
[ROW][C]0.5[/C][C]39378.7518657379[/C][C]660.289877647619[/C][/ROW]
[ROW][C]0.51[/C][C]39511.1988733647[/C][C]672.706575767151[/C][/ROW]
[ROW][C]0.52[/C][C]39646.0190820279[/C][C]689.400684663204[/C][/ROW]
[ROW][C]0.53[/C][C]39783.7745321247[/C][C]707.468996181214[/C][/ROW]
[ROW][C]0.54[/C][C]39924.5442874498[/C][C]724.010018880689[/C][/ROW]
[ROW][C]0.55[/C][C]40067.9599033255[/C][C]736.214315703761[/C][/ROW]
[ROW][C]0.56[/C][C]40213.3218040931[/C][C]742.699206147107[/C][/ROW]
[ROW][C]0.57[/C][C]40359.7891070805[/C][C]743.025397158952[/C][/ROW]
[ROW][C]0.58[/C][C]40506.6207877531[/C][C]738.310685589906[/C][/ROW]
[ROW][C]0.59[/C][C]40653.4364011615[/C][C]731.084018967582[/C][/ROW]
[ROW][C]0.6[/C][C]40800.4613287973[/C][C]725.280590247114[/C][/ROW]
[ROW][C]0.61[/C][C]40948.723593035[/C][C]725.585210621315[/C][/ROW]
[ROW][C]0.62[/C][C]41100.173968726[/C][C]737.218889289406[/C][/ROW]
[ROW][C]0.63[/C][C]41257.706014345[/C][C]765.394954104466[/C][/ROW]
[ROW][C]0.64[/C][C]41425.0574417776[/C][C]814.219399098496[/C][/ROW]
[ROW][C]0.65[/C][C]41606.5813895838[/C][C]886.241170243615[/C][/ROW]
[ROW][C]0.66[/C][C]41806.889654866[/C][C]981.371974998861[/C][/ROW]
[ROW][C]0.67[/C][C]42030.3925201146[/C][C]1096.69699698096[/C][/ROW]
[ROW][C]0.68[/C][C]42280.7898119559[/C][C]1226.50110690949[/C][/ROW]
[ROW][C]0.69[/C][C]42560.5974449685[/C][C]1362.84559251371[/C][/ROW]
[ROW][C]0.7[/C][C]42870.8103087241[/C][C]1496.68799357382[/C][/ROW]
[ROW][C]0.71[/C][C]43210.7931792128[/C][C]1619.15012013138[/C][/ROW]
[ROW][C]0.72[/C][C]43578.4500609708[/C][C]1723.43453027766[/C][/ROW]
[ROW][C]0.73[/C][C]43970.6546620549[/C][C]1805.67822336354[/C][/ROW]
[ROW][C]0.74[/C][C]44383.8494088718[/C][C]1865.69408561576[/C][/ROW]
[ROW][C]0.75[/C][C]44814.6646312948[/C][C]1906.88306569631[/C][/ROW]
[ROW][C]0.76[/C][C]45260.3989263307[/C][C]1934.43499695084[/C][/ROW]
[ROW][C]0.77[/C][C]45719.2499959287[/C][C]1953.94849399724[/C][/ROW]
[ROW][C]0.78[/C][C]46190.2883582176[/C][C]1969.48816921349[/C][/ROW]
[ROW][C]0.79[/C][C]46673.3034981725[/C][C]1982.89255195060[/C][/ROW]
[ROW][C]0.8[/C][C]47168.7919478333[/C][C]1994.49067838336[/C][/ROW]
[ROW][C]0.81[/C][C]47678.4620185103[/C][C]2005.53730481494[/C][/ROW]
[ROW][C]0.82[/C][C]48206.653355244[/C][C]2022.32717080342[/C][/ROW]
[ROW][C]0.83[/C][C]48762.9445672077[/C][C]2061.34887990281[/C][/ROW]
[ROW][C]0.84[/C][C]49365.8614031829[/C][C]2155.29020180485[/C][/ROW]
[ROW][C]0.85[/C][C]50046.9255024372[/C][C]2354.96268001969[/C][/ROW]
[ROW][C]0.86[/C][C]50853.3246108496[/C][C]2721.12327424333[/C][/ROW]
[ROW][C]0.87[/C][C]51846.5026912557[/C][C]3299.24944862478[/C][/ROW]
[ROW][C]0.88[/C][C]53093.5809513467[/C][C]4087.2303513109[/C][/ROW]
[ROW][C]0.89[/C][C]54649.6485122193[/C][C]5009.71448194382[/C][/ROW]
[ROW][C]0.9[/C][C]56532.4148498502[/C][C]5907.55045106995[/C][/ROW]
[ROW][C]0.91[/C][C]58696.3498080941[/C][C]6555.43153399935[/C][/ROW]
[ROW][C]0.92[/C][C]61019.1615751765[/C][C]6720.18010862685[/C][/ROW]
[ROW][C]0.93[/C][C]63314.987221357[/C][C]6255.7935925713[/C][/ROW]
[ROW][C]0.94[/C][C]65381.1666840324[/C][C]5197.76239729375[/C][/ROW]
[ROW][C]0.95[/C][C]67067.6222365685[/C][C]3795.42943255672[/C][/ROW]
[ROW][C]0.96[/C][C]68336.4811654247[/C][C]2434.3857045993[/C][/ROW]
[ROW][C]0.97[/C][C]69269.9573561739[/C][C]1465.54554747166[/C][/ROW]
[ROW][C]0.98[/C][C]70001.3241128324[/C][C]993.147118301058[/C][/ROW]
[ROW][C]0.99[/C][C]70589.5729850101[/C][C]783.317600259282[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74039&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
0.017487.80877603104965.66746476664
0.028174.533867512171110.86220594228
0.039036.222836553921835.62302348736
0.0410181.03479118323037.88031172713
0.0511739.21541448964522.29043328796
0.0613753.93984513576005.40904154084
0.0716155.19614789357145.86035678527
0.0818779.34793176977674.63034334741
0.0921416.79616946787511.50660943994
0.123870.73454877246780.42696895052
0.1126003.86514353035727.509937036
0.1227756.97322197224608.07030769754
0.1329139.39430135183605.89570367743
0.1430203.66891491232807.95920957608
0.1531018.77845416722222.28747984058
0.1631650.98472660151813.25750587220
0.1732154.40829699091533.70210817308
0.1832569.0587470731343.16484412127
0.1932922.79384663901213.01391072329
0.233234.44110668721124.02963569648
0.2133516.62712511981063.23178092005
0.2233777.87969806451021.50860081156
0.2334024.0771356242993.079449707049
0.2434259.4452450209974.779579564526
0.2534487.2499876801965.604939472338
0.2634710.2521617031965.959825218343
0.2734930.9461840021976.30940166545
0.2835151.6049080146996.439561692302
0.2935374.17579593721024.67980688014
0.335600.09687254951057.85603845598
0.3135830.10892115741091.95874747845
0.3236064.12997207241122.29351399539
0.3336301.23413869861144.61190929234
0.3436539.74744733751155.47751879935
0.3536777.44604557451152.79558785610
0.3637011.82213521841135.80365508053
0.3737240.37258917291105.37457466272
0.3837460.86485576451063.67131154774
0.3937671.54328464861013.71035299518
0.437871.2539796861959.030494270807
0.4138059.4841175695902.99923740904
0.4238236.3281455348848.734835928353
0.4338402.4044616516798.667027711651
0.4438558.7495946269754.488689809041
0.4538706.7123412253717.494904904826
0.4638847.8600523426688.532540237515
0.4738983.8973211266668.151545008448
0.4839116.5881934293656.815488687834
0.4939247.6700759272654.429451803849
0.539378.7518657379660.289877647619
0.5139511.1988733647672.706575767151
0.5239646.0190820279689.400684663204
0.5339783.7745321247707.468996181214
0.5439924.5442874498724.010018880689
0.5540067.9599033255736.214315703761
0.5640213.3218040931742.699206147107
0.5740359.7891070805743.025397158952
0.5840506.6207877531738.310685589906
0.5940653.4364011615731.084018967582
0.640800.4613287973725.280590247114
0.6140948.723593035725.585210621315
0.6241100.173968726737.218889289406
0.6341257.706014345765.394954104466
0.6441425.0574417776814.219399098496
0.6541606.5813895838886.241170243615
0.6641806.889654866981.371974998861
0.6742030.39252011461096.69699698096
0.6842280.78981195591226.50110690949
0.6942560.59744496851362.84559251371
0.742870.81030872411496.68799357382
0.7143210.79317921281619.15012013138
0.7243578.45006097081723.43453027766
0.7343970.65466205491805.67822336354
0.7444383.84940887181865.69408561576
0.7544814.66463129481906.88306569631
0.7645260.39892633071934.43499695084
0.7745719.24999592871953.94849399724
0.7846190.28835821761969.48816921349
0.7946673.30349817251982.89255195060
0.847168.79194783331994.49067838336
0.8147678.46201851032005.53730481494
0.8248206.6533552442022.32717080342
0.8348762.94456720772061.34887990281
0.8449365.86140318292155.29020180485
0.8550046.92550243722354.96268001969
0.8650853.32461084962721.12327424333
0.8751846.50269125573299.24944862478
0.8853093.58095134674087.2303513109
0.8954649.64851221935009.71448194382
0.956532.41484985025907.55045106995
0.9158696.34980809416555.43153399935
0.9261019.16157517656720.18010862685
0.9363314.9872213576255.7935925713
0.9465381.16668403245197.76239729375
0.9567067.62223656853795.42943255672
0.9668336.48116542472434.3857045993
0.9769269.95735617391465.54554747166
0.9870001.3241128324993.147118301058
0.9970589.5729850101783.317600259282



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')