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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 06 Mar 2010 03:28:55 -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/t1267872464okcfjsctkgferua.htm/, Retrieved Thu, 18 Aug 2022 13:27:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74027, Retrieved Thu, 18 Aug 2022 13:27:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [aantal personenwa...] [2010-03-06 09:14:49] [fed931a55849f2f0418c12d98c9280b5]
-   PD    [Harrell-Davis Quantiles] [Wijnprijzen perce...] [2010-03-06 10:28:55] [590f55dfda8c59789c432bae20af0152] [Current]
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Dataseries X:
2.42
2.42
2.42
2.42
2.42
2.43
2.43
2.43
2.44
2.44
2.44
2.43
2.42
2.41
2.38
2.38
2.37
2.37
2.37
2.36
2.32
2.25
2.25
2.24
2.24
2.23
2.22
2.22
2.21
2.21
2.20
2.21
2.20
2.21
2.21
2.21
2.20
2.20
2.19
2.19
2.19
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.18
2.17
2.18
2.17
2.17
2.18
2.18
2.18
2.17




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=74027&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=74027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74027&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
0.012.170000002205480
0.022.170000024607070
0.032.170000156066387.72741889106814e-07
0.042.170000718257573.86370944553407e-06
0.052.170002639895881.15911283366022e-05
0.062.170008157411803.40006431206998e-05
0.072.170021884859608.2683382134429e-05
0.082.170052114664240.000178503376383674
0.092.170111953532010.000344642882541639
0.12.170219679834140.000605829641059742
0.112.170397688600450.000975973005941905
0.122.170669679275450.00145430023529902
0.132.171056311393150.00201531084679057
0.142.171570209559950.00261186758518103
0.152.172211653060230.00317828738989632
0.162.172966297282010.00364425074902773
0.172.173805784975820.00395180202089224
0.182.174691278806390.00406153136914541
0.192.175579095505900.0039695750843417
0.22.176427061359610.00369578879869296
0.212.177200117825250.00328469012556016
0.222.177874066210320.00279248159387759
0.232.178436970011890.00227354316206880
0.242.178888387144630.00177755709822907
0.252.179237077707640.00134001962891494
0.262.179498028327660.000978943472089163
0.272.179689566907830.000705008900484864
0.282.179831102994830.000521115024963711
0.292.179941732341490.000431198163931366
0.32.180039681686140.000442594996652446
0.312.180142391644910.000552819247699663
0.322.180266952077780.000756134908106102
0.332.180430599540550.00104765795781899
0.342.180651035030030.00143335394978496
0.352.18094639850610.00191884513511554
0.362.181334827205380.00250247391266009
0.372.181833615544390.00317657564780219
0.382.182458075974650.0039264684584682
0.392.183220263433770.0047295786919947
0.42.184127762378580.00556069388175619
0.412.185182738507660.00638089913647135
0.422.186381425935330.00716001206702086
0.432.187714160335980.00786391335011847
0.442.189165991539850.0084665338460335
0.452.190717831259430.00894781615031389
0.462.192348028784630.00929685404119464
0.472.194034230620940.0095190849505438
0.482.195755372494550.0096227160251038
0.492.197493669179870.00963363034640523
0.52.199236498812630.00958180407002493
0.512.200978111928370.00950343055919893
0.522.202721122619170.00945583004112255
0.532.204477756793150.00948910959875448
0.542.206270842631770.0096723336357709
0.552.208134534749960.0100687205799564
0.562.210114766708620.0107448301284367
0.572.212269419665660.0117668270817608
0.582.214668164455890.0131920656386568
0.592.217391865905360.0150691789392324
0.62.220531327864750.0174407208012836
0.612.224185024428910.0203335733860003
0.622.228455356600260.0237587877659471
0.632.233442969609290.0276894406367501
0.642.239238844910070.0320606023804312
0.652.245914293782110.0367394645639813
0.662.253509608911210.0415311390297699
0.672.262022862042020.0461853399306488
0.682.271400960723680.0503976876751228
0.692.281535335044050.0538568980700503
0.72.292264287757270.0562850499827215
0.712.303383013515400.0574725875574482
0.722.31466069618050.0573278970477113
0.732.325862286330270.0558858934248452
0.742.336771073270960.0533228739192259
0.752.347207542144020.0499106045568467
0.762.357040607214210.0459788169581349
0.772.366189137098650.0418424817263065
0.782.37461430433310.037748935604554
0.792.382305919087370.0338387253569545
0.82.389267649956110.0301398280054827
0.812.395506203844960.0266084148856518
0.822.401027936573580.0231765561183769
0.832.405843433984980.0198214788640920
0.842.409977328202870.0165864277859388
0.852.413478235112730.0135814487393861
0.862.41642328357000.0109541933247030
0.872.418913722833290.0088367206921973
0.882.421062104769750.00729749529654317
0.892.422976087086160.00628449643627685
0.92.424746698851630.0056397214335339
0.912.42644746041150.00519181661888733
0.922.42814374731150.00486201841529067
0.932.429901228655380.0047048193016860
0.942.431775228324860.00478690331481311
0.952.433770286597180.0049627358076353
0.962.435786982535780.00482543440955374
0.972.437607525192530.00398190546905098
0.982.438973416336590.0024620401512133
0.992.43974146205730.000881093036962766

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.17000000220548 & 0 \tabularnewline
0.02 & 2.17000002460707 & 0 \tabularnewline
0.03 & 2.17000015606638 & 7.72741889106814e-07 \tabularnewline
0.04 & 2.17000071825757 & 3.86370944553407e-06 \tabularnewline
0.05 & 2.17000263989588 & 1.15911283366022e-05 \tabularnewline
0.06 & 2.17000815741180 & 3.40006431206998e-05 \tabularnewline
0.07 & 2.17002188485960 & 8.2683382134429e-05 \tabularnewline
0.08 & 2.17005211466424 & 0.000178503376383674 \tabularnewline
0.09 & 2.17011195353201 & 0.000344642882541639 \tabularnewline
0.1 & 2.17021967983414 & 0.000605829641059742 \tabularnewline
0.11 & 2.17039768860045 & 0.000975973005941905 \tabularnewline
0.12 & 2.17066967927545 & 0.00145430023529902 \tabularnewline
0.13 & 2.17105631139315 & 0.00201531084679057 \tabularnewline
0.14 & 2.17157020955995 & 0.00261186758518103 \tabularnewline
0.15 & 2.17221165306023 & 0.00317828738989632 \tabularnewline
0.16 & 2.17296629728201 & 0.00364425074902773 \tabularnewline
0.17 & 2.17380578497582 & 0.00395180202089224 \tabularnewline
0.18 & 2.17469127880639 & 0.00406153136914541 \tabularnewline
0.19 & 2.17557909550590 & 0.0039695750843417 \tabularnewline
0.2 & 2.17642706135961 & 0.00369578879869296 \tabularnewline
0.21 & 2.17720011782525 & 0.00328469012556016 \tabularnewline
0.22 & 2.17787406621032 & 0.00279248159387759 \tabularnewline
0.23 & 2.17843697001189 & 0.00227354316206880 \tabularnewline
0.24 & 2.17888838714463 & 0.00177755709822907 \tabularnewline
0.25 & 2.17923707770764 & 0.00134001962891494 \tabularnewline
0.26 & 2.17949802832766 & 0.000978943472089163 \tabularnewline
0.27 & 2.17968956690783 & 0.000705008900484864 \tabularnewline
0.28 & 2.17983110299483 & 0.000521115024963711 \tabularnewline
0.29 & 2.17994173234149 & 0.000431198163931366 \tabularnewline
0.3 & 2.18003968168614 & 0.000442594996652446 \tabularnewline
0.31 & 2.18014239164491 & 0.000552819247699663 \tabularnewline
0.32 & 2.18026695207778 & 0.000756134908106102 \tabularnewline
0.33 & 2.18043059954055 & 0.00104765795781899 \tabularnewline
0.34 & 2.18065103503003 & 0.00143335394978496 \tabularnewline
0.35 & 2.1809463985061 & 0.00191884513511554 \tabularnewline
0.36 & 2.18133482720538 & 0.00250247391266009 \tabularnewline
0.37 & 2.18183361554439 & 0.00317657564780219 \tabularnewline
0.38 & 2.18245807597465 & 0.0039264684584682 \tabularnewline
0.39 & 2.18322026343377 & 0.0047295786919947 \tabularnewline
0.4 & 2.18412776237858 & 0.00556069388175619 \tabularnewline
0.41 & 2.18518273850766 & 0.00638089913647135 \tabularnewline
0.42 & 2.18638142593533 & 0.00716001206702086 \tabularnewline
0.43 & 2.18771416033598 & 0.00786391335011847 \tabularnewline
0.44 & 2.18916599153985 & 0.0084665338460335 \tabularnewline
0.45 & 2.19071783125943 & 0.00894781615031389 \tabularnewline
0.46 & 2.19234802878463 & 0.00929685404119464 \tabularnewline
0.47 & 2.19403423062094 & 0.0095190849505438 \tabularnewline
0.48 & 2.19575537249455 & 0.0096227160251038 \tabularnewline
0.49 & 2.19749366917987 & 0.00963363034640523 \tabularnewline
0.5 & 2.19923649881263 & 0.00958180407002493 \tabularnewline
0.51 & 2.20097811192837 & 0.00950343055919893 \tabularnewline
0.52 & 2.20272112261917 & 0.00945583004112255 \tabularnewline
0.53 & 2.20447775679315 & 0.00948910959875448 \tabularnewline
0.54 & 2.20627084263177 & 0.0096723336357709 \tabularnewline
0.55 & 2.20813453474996 & 0.0100687205799564 \tabularnewline
0.56 & 2.21011476670862 & 0.0107448301284367 \tabularnewline
0.57 & 2.21226941966566 & 0.0117668270817608 \tabularnewline
0.58 & 2.21466816445589 & 0.0131920656386568 \tabularnewline
0.59 & 2.21739186590536 & 0.0150691789392324 \tabularnewline
0.6 & 2.22053132786475 & 0.0174407208012836 \tabularnewline
0.61 & 2.22418502442891 & 0.0203335733860003 \tabularnewline
0.62 & 2.22845535660026 & 0.0237587877659471 \tabularnewline
0.63 & 2.23344296960929 & 0.0276894406367501 \tabularnewline
0.64 & 2.23923884491007 & 0.0320606023804312 \tabularnewline
0.65 & 2.24591429378211 & 0.0367394645639813 \tabularnewline
0.66 & 2.25350960891121 & 0.0415311390297699 \tabularnewline
0.67 & 2.26202286204202 & 0.0461853399306488 \tabularnewline
0.68 & 2.27140096072368 & 0.0503976876751228 \tabularnewline
0.69 & 2.28153533504405 & 0.0538568980700503 \tabularnewline
0.7 & 2.29226428775727 & 0.0562850499827215 \tabularnewline
0.71 & 2.30338301351540 & 0.0574725875574482 \tabularnewline
0.72 & 2.3146606961805 & 0.0573278970477113 \tabularnewline
0.73 & 2.32586228633027 & 0.0558858934248452 \tabularnewline
0.74 & 2.33677107327096 & 0.0533228739192259 \tabularnewline
0.75 & 2.34720754214402 & 0.0499106045568467 \tabularnewline
0.76 & 2.35704060721421 & 0.0459788169581349 \tabularnewline
0.77 & 2.36618913709865 & 0.0418424817263065 \tabularnewline
0.78 & 2.3746143043331 & 0.037748935604554 \tabularnewline
0.79 & 2.38230591908737 & 0.0338387253569545 \tabularnewline
0.8 & 2.38926764995611 & 0.0301398280054827 \tabularnewline
0.81 & 2.39550620384496 & 0.0266084148856518 \tabularnewline
0.82 & 2.40102793657358 & 0.0231765561183769 \tabularnewline
0.83 & 2.40584343398498 & 0.0198214788640920 \tabularnewline
0.84 & 2.40997732820287 & 0.0165864277859388 \tabularnewline
0.85 & 2.41347823511273 & 0.0135814487393861 \tabularnewline
0.86 & 2.4164232835700 & 0.0109541933247030 \tabularnewline
0.87 & 2.41891372283329 & 0.0088367206921973 \tabularnewline
0.88 & 2.42106210476975 & 0.00729749529654317 \tabularnewline
0.89 & 2.42297608708616 & 0.00628449643627685 \tabularnewline
0.9 & 2.42474669885163 & 0.0056397214335339 \tabularnewline
0.91 & 2.4264474604115 & 0.00519181661888733 \tabularnewline
0.92 & 2.4281437473115 & 0.00486201841529067 \tabularnewline
0.93 & 2.42990122865538 & 0.0047048193016860 \tabularnewline
0.94 & 2.43177522832486 & 0.00478690331481311 \tabularnewline
0.95 & 2.43377028659718 & 0.0049627358076353 \tabularnewline
0.96 & 2.43578698253578 & 0.00482543440955374 \tabularnewline
0.97 & 2.43760752519253 & 0.00398190546905098 \tabularnewline
0.98 & 2.43897341633659 & 0.0024620401512133 \tabularnewline
0.99 & 2.4397414620573 & 0.000881093036962766 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74027&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]2.17000000220548[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]2.17000002460707[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]2.17000015606638[/C][C]7.72741889106814e-07[/C][/ROW]
[ROW][C]0.04[/C][C]2.17000071825757[/C][C]3.86370944553407e-06[/C][/ROW]
[ROW][C]0.05[/C][C]2.17000263989588[/C][C]1.15911283366022e-05[/C][/ROW]
[ROW][C]0.06[/C][C]2.17000815741180[/C][C]3.40006431206998e-05[/C][/ROW]
[ROW][C]0.07[/C][C]2.17002188485960[/C][C]8.2683382134429e-05[/C][/ROW]
[ROW][C]0.08[/C][C]2.17005211466424[/C][C]0.000178503376383674[/C][/ROW]
[ROW][C]0.09[/C][C]2.17011195353201[/C][C]0.000344642882541639[/C][/ROW]
[ROW][C]0.1[/C][C]2.17021967983414[/C][C]0.000605829641059742[/C][/ROW]
[ROW][C]0.11[/C][C]2.17039768860045[/C][C]0.000975973005941905[/C][/ROW]
[ROW][C]0.12[/C][C]2.17066967927545[/C][C]0.00145430023529902[/C][/ROW]
[ROW][C]0.13[/C][C]2.17105631139315[/C][C]0.00201531084679057[/C][/ROW]
[ROW][C]0.14[/C][C]2.17157020955995[/C][C]0.00261186758518103[/C][/ROW]
[ROW][C]0.15[/C][C]2.17221165306023[/C][C]0.00317828738989632[/C][/ROW]
[ROW][C]0.16[/C][C]2.17296629728201[/C][C]0.00364425074902773[/C][/ROW]
[ROW][C]0.17[/C][C]2.17380578497582[/C][C]0.00395180202089224[/C][/ROW]
[ROW][C]0.18[/C][C]2.17469127880639[/C][C]0.00406153136914541[/C][/ROW]
[ROW][C]0.19[/C][C]2.17557909550590[/C][C]0.0039695750843417[/C][/ROW]
[ROW][C]0.2[/C][C]2.17642706135961[/C][C]0.00369578879869296[/C][/ROW]
[ROW][C]0.21[/C][C]2.17720011782525[/C][C]0.00328469012556016[/C][/ROW]
[ROW][C]0.22[/C][C]2.17787406621032[/C][C]0.00279248159387759[/C][/ROW]
[ROW][C]0.23[/C][C]2.17843697001189[/C][C]0.00227354316206880[/C][/ROW]
[ROW][C]0.24[/C][C]2.17888838714463[/C][C]0.00177755709822907[/C][/ROW]
[ROW][C]0.25[/C][C]2.17923707770764[/C][C]0.00134001962891494[/C][/ROW]
[ROW][C]0.26[/C][C]2.17949802832766[/C][C]0.000978943472089163[/C][/ROW]
[ROW][C]0.27[/C][C]2.17968956690783[/C][C]0.000705008900484864[/C][/ROW]
[ROW][C]0.28[/C][C]2.17983110299483[/C][C]0.000521115024963711[/C][/ROW]
[ROW][C]0.29[/C][C]2.17994173234149[/C][C]0.000431198163931366[/C][/ROW]
[ROW][C]0.3[/C][C]2.18003968168614[/C][C]0.000442594996652446[/C][/ROW]
[ROW][C]0.31[/C][C]2.18014239164491[/C][C]0.000552819247699663[/C][/ROW]
[ROW][C]0.32[/C][C]2.18026695207778[/C][C]0.000756134908106102[/C][/ROW]
[ROW][C]0.33[/C][C]2.18043059954055[/C][C]0.00104765795781899[/C][/ROW]
[ROW][C]0.34[/C][C]2.18065103503003[/C][C]0.00143335394978496[/C][/ROW]
[ROW][C]0.35[/C][C]2.1809463985061[/C][C]0.00191884513511554[/C][/ROW]
[ROW][C]0.36[/C][C]2.18133482720538[/C][C]0.00250247391266009[/C][/ROW]
[ROW][C]0.37[/C][C]2.18183361554439[/C][C]0.00317657564780219[/C][/ROW]
[ROW][C]0.38[/C][C]2.18245807597465[/C][C]0.0039264684584682[/C][/ROW]
[ROW][C]0.39[/C][C]2.18322026343377[/C][C]0.0047295786919947[/C][/ROW]
[ROW][C]0.4[/C][C]2.18412776237858[/C][C]0.00556069388175619[/C][/ROW]
[ROW][C]0.41[/C][C]2.18518273850766[/C][C]0.00638089913647135[/C][/ROW]
[ROW][C]0.42[/C][C]2.18638142593533[/C][C]0.00716001206702086[/C][/ROW]
[ROW][C]0.43[/C][C]2.18771416033598[/C][C]0.00786391335011847[/C][/ROW]
[ROW][C]0.44[/C][C]2.18916599153985[/C][C]0.0084665338460335[/C][/ROW]
[ROW][C]0.45[/C][C]2.19071783125943[/C][C]0.00894781615031389[/C][/ROW]
[ROW][C]0.46[/C][C]2.19234802878463[/C][C]0.00929685404119464[/C][/ROW]
[ROW][C]0.47[/C][C]2.19403423062094[/C][C]0.0095190849505438[/C][/ROW]
[ROW][C]0.48[/C][C]2.19575537249455[/C][C]0.0096227160251038[/C][/ROW]
[ROW][C]0.49[/C][C]2.19749366917987[/C][C]0.00963363034640523[/C][/ROW]
[ROW][C]0.5[/C][C]2.19923649881263[/C][C]0.00958180407002493[/C][/ROW]
[ROW][C]0.51[/C][C]2.20097811192837[/C][C]0.00950343055919893[/C][/ROW]
[ROW][C]0.52[/C][C]2.20272112261917[/C][C]0.00945583004112255[/C][/ROW]
[ROW][C]0.53[/C][C]2.20447775679315[/C][C]0.00948910959875448[/C][/ROW]
[ROW][C]0.54[/C][C]2.20627084263177[/C][C]0.0096723336357709[/C][/ROW]
[ROW][C]0.55[/C][C]2.20813453474996[/C][C]0.0100687205799564[/C][/ROW]
[ROW][C]0.56[/C][C]2.21011476670862[/C][C]0.0107448301284367[/C][/ROW]
[ROW][C]0.57[/C][C]2.21226941966566[/C][C]0.0117668270817608[/C][/ROW]
[ROW][C]0.58[/C][C]2.21466816445589[/C][C]0.0131920656386568[/C][/ROW]
[ROW][C]0.59[/C][C]2.21739186590536[/C][C]0.0150691789392324[/C][/ROW]
[ROW][C]0.6[/C][C]2.22053132786475[/C][C]0.0174407208012836[/C][/ROW]
[ROW][C]0.61[/C][C]2.22418502442891[/C][C]0.0203335733860003[/C][/ROW]
[ROW][C]0.62[/C][C]2.22845535660026[/C][C]0.0237587877659471[/C][/ROW]
[ROW][C]0.63[/C][C]2.23344296960929[/C][C]0.0276894406367501[/C][/ROW]
[ROW][C]0.64[/C][C]2.23923884491007[/C][C]0.0320606023804312[/C][/ROW]
[ROW][C]0.65[/C][C]2.24591429378211[/C][C]0.0367394645639813[/C][/ROW]
[ROW][C]0.66[/C][C]2.25350960891121[/C][C]0.0415311390297699[/C][/ROW]
[ROW][C]0.67[/C][C]2.26202286204202[/C][C]0.0461853399306488[/C][/ROW]
[ROW][C]0.68[/C][C]2.27140096072368[/C][C]0.0503976876751228[/C][/ROW]
[ROW][C]0.69[/C][C]2.28153533504405[/C][C]0.0538568980700503[/C][/ROW]
[ROW][C]0.7[/C][C]2.29226428775727[/C][C]0.0562850499827215[/C][/ROW]
[ROW][C]0.71[/C][C]2.30338301351540[/C][C]0.0574725875574482[/C][/ROW]
[ROW][C]0.72[/C][C]2.3146606961805[/C][C]0.0573278970477113[/C][/ROW]
[ROW][C]0.73[/C][C]2.32586228633027[/C][C]0.0558858934248452[/C][/ROW]
[ROW][C]0.74[/C][C]2.33677107327096[/C][C]0.0533228739192259[/C][/ROW]
[ROW][C]0.75[/C][C]2.34720754214402[/C][C]0.0499106045568467[/C][/ROW]
[ROW][C]0.76[/C][C]2.35704060721421[/C][C]0.0459788169581349[/C][/ROW]
[ROW][C]0.77[/C][C]2.36618913709865[/C][C]0.0418424817263065[/C][/ROW]
[ROW][C]0.78[/C][C]2.3746143043331[/C][C]0.037748935604554[/C][/ROW]
[ROW][C]0.79[/C][C]2.38230591908737[/C][C]0.0338387253569545[/C][/ROW]
[ROW][C]0.8[/C][C]2.38926764995611[/C][C]0.0301398280054827[/C][/ROW]
[ROW][C]0.81[/C][C]2.39550620384496[/C][C]0.0266084148856518[/C][/ROW]
[ROW][C]0.82[/C][C]2.40102793657358[/C][C]0.0231765561183769[/C][/ROW]
[ROW][C]0.83[/C][C]2.40584343398498[/C][C]0.0198214788640920[/C][/ROW]
[ROW][C]0.84[/C][C]2.40997732820287[/C][C]0.0165864277859388[/C][/ROW]
[ROW][C]0.85[/C][C]2.41347823511273[/C][C]0.0135814487393861[/C][/ROW]
[ROW][C]0.86[/C][C]2.4164232835700[/C][C]0.0109541933247030[/C][/ROW]
[ROW][C]0.87[/C][C]2.41891372283329[/C][C]0.0088367206921973[/C][/ROW]
[ROW][C]0.88[/C][C]2.42106210476975[/C][C]0.00729749529654317[/C][/ROW]
[ROW][C]0.89[/C][C]2.42297608708616[/C][C]0.00628449643627685[/C][/ROW]
[ROW][C]0.9[/C][C]2.42474669885163[/C][C]0.0056397214335339[/C][/ROW]
[ROW][C]0.91[/C][C]2.4264474604115[/C][C]0.00519181661888733[/C][/ROW]
[ROW][C]0.92[/C][C]2.4281437473115[/C][C]0.00486201841529067[/C][/ROW]
[ROW][C]0.93[/C][C]2.42990122865538[/C][C]0.0047048193016860[/C][/ROW]
[ROW][C]0.94[/C][C]2.43177522832486[/C][C]0.00478690331481311[/C][/ROW]
[ROW][C]0.95[/C][C]2.43377028659718[/C][C]0.0049627358076353[/C][/ROW]
[ROW][C]0.96[/C][C]2.43578698253578[/C][C]0.00482543440955374[/C][/ROW]
[ROW][C]0.97[/C][C]2.43760752519253[/C][C]0.00398190546905098[/C][/ROW]
[ROW][C]0.98[/C][C]2.43897341633659[/C][C]0.0024620401512133[/C][/ROW]
[ROW][C]0.99[/C][C]2.4397414620573[/C][C]0.000881093036962766[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74027&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
0.012.170000002205480
0.022.170000024607070
0.032.170000156066387.72741889106814e-07
0.042.170000718257573.86370944553407e-06
0.052.170002639895881.15911283366022e-05
0.062.170008157411803.40006431206998e-05
0.072.170021884859608.2683382134429e-05
0.082.170052114664240.000178503376383674
0.092.170111953532010.000344642882541639
0.12.170219679834140.000605829641059742
0.112.170397688600450.000975973005941905
0.122.170669679275450.00145430023529902
0.132.171056311393150.00201531084679057
0.142.171570209559950.00261186758518103
0.152.172211653060230.00317828738989632
0.162.172966297282010.00364425074902773
0.172.173805784975820.00395180202089224
0.182.174691278806390.00406153136914541
0.192.175579095505900.0039695750843417
0.22.176427061359610.00369578879869296
0.212.177200117825250.00328469012556016
0.222.177874066210320.00279248159387759
0.232.178436970011890.00227354316206880
0.242.178888387144630.00177755709822907
0.252.179237077707640.00134001962891494
0.262.179498028327660.000978943472089163
0.272.179689566907830.000705008900484864
0.282.179831102994830.000521115024963711
0.292.179941732341490.000431198163931366
0.32.180039681686140.000442594996652446
0.312.180142391644910.000552819247699663
0.322.180266952077780.000756134908106102
0.332.180430599540550.00104765795781899
0.342.180651035030030.00143335394978496
0.352.18094639850610.00191884513511554
0.362.181334827205380.00250247391266009
0.372.181833615544390.00317657564780219
0.382.182458075974650.0039264684584682
0.392.183220263433770.0047295786919947
0.42.184127762378580.00556069388175619
0.412.185182738507660.00638089913647135
0.422.186381425935330.00716001206702086
0.432.187714160335980.00786391335011847
0.442.189165991539850.0084665338460335
0.452.190717831259430.00894781615031389
0.462.192348028784630.00929685404119464
0.472.194034230620940.0095190849505438
0.482.195755372494550.0096227160251038
0.492.197493669179870.00963363034640523
0.52.199236498812630.00958180407002493
0.512.200978111928370.00950343055919893
0.522.202721122619170.00945583004112255
0.532.204477756793150.00948910959875448
0.542.206270842631770.0096723336357709
0.552.208134534749960.0100687205799564
0.562.210114766708620.0107448301284367
0.572.212269419665660.0117668270817608
0.582.214668164455890.0131920656386568
0.592.217391865905360.0150691789392324
0.62.220531327864750.0174407208012836
0.612.224185024428910.0203335733860003
0.622.228455356600260.0237587877659471
0.632.233442969609290.0276894406367501
0.642.239238844910070.0320606023804312
0.652.245914293782110.0367394645639813
0.662.253509608911210.0415311390297699
0.672.262022862042020.0461853399306488
0.682.271400960723680.0503976876751228
0.692.281535335044050.0538568980700503
0.72.292264287757270.0562850499827215
0.712.303383013515400.0574725875574482
0.722.31466069618050.0573278970477113
0.732.325862286330270.0558858934248452
0.742.336771073270960.0533228739192259
0.752.347207542144020.0499106045568467
0.762.357040607214210.0459788169581349
0.772.366189137098650.0418424817263065
0.782.37461430433310.037748935604554
0.792.382305919087370.0338387253569545
0.82.389267649956110.0301398280054827
0.812.395506203844960.0266084148856518
0.822.401027936573580.0231765561183769
0.832.405843433984980.0198214788640920
0.842.409977328202870.0165864277859388
0.852.413478235112730.0135814487393861
0.862.41642328357000.0109541933247030
0.872.418913722833290.0088367206921973
0.882.421062104769750.00729749529654317
0.892.422976087086160.00628449643627685
0.92.424746698851630.0056397214335339
0.912.42644746041150.00519181661888733
0.922.42814374731150.00486201841529067
0.932.429901228655380.0047048193016860
0.942.431775228324860.00478690331481311
0.952.433770286597180.0049627358076353
0.962.435786982535780.00482543440955374
0.972.437607525192530.00398190546905098
0.982.438973416336590.0024620401512133
0.992.43974146205730.000881093036962766



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')