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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 22 Feb 2015 18:03:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/22/t14246283467kwa9lwqixx6p8b.htm/, Retrieved Sat, 18 May 2024 06:23:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277375, Retrieved Sat, 18 May 2024 06:23:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - Evolu...] [2015-02-05 18:51:05] [25b4a943aa82de9a987df483758b2d1e]
- RMP     [Harrell-Davis Quantiles] [Harrel-Davis Perc...] [2015-02-22 18:03:05] [bc7b6c6baf6d03f57c49dbed118965bb] [Current]
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Dataseries X:
6.81
6.80
6.80
6.85
6.85
6.85
6.85
6.85
6.85
6.86
6.86
6.88
6.88
6.88
6.91
6.91
6.91
6.91
6.99
6.99
6.99
7.02
7.02
7.05
7.05
7.05
7.05
7.10
7.10
7.10
7.10
7.12
7.13
7.18
7.24
7.24
7.24
7.27
7.27
7.27
7.27
7.30
7.30
7.57
7.76
7.94
7.94
7.96
7.96
7.98
7.99
8.00
8.00
8.04
8.04
8.04
8.04
8.04
8.07
8.07
8.07
8.07
8.11
8.11
8.11
8.12
8.11
8.13
8.15
8.16
8.20
8.20
8.20
8.20
8.23
8.25
8.26
8.31
8.33
8.33
8.36
8.39
8.41
8.50
8.58
8.58
8.66
8.67
8.70
8.71
8.73
8.75
8.76
8.76
8.77
8.78




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277375&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277375&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277375&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.803049371900490.00819424876721944
0.026.811175309926150.0176874658314704
0.036.822529373458230.0206740269327343
0.046.833526911433170.0171658859762806
0.056.841906954518430.0116482526916817
0.066.847542492275670.00796713319949593
0.076.851529560889520.00767111019255527
0.086.855113460772590.00988390738579974
0.096.859166200464140.0132188106025606
0.16.864134808167210.0169914323553581
0.116.870181204037980.0209286881925799
0.126.877334686305580.025027157041073
0.136.885592678641050.0293806700499663
0.146.894961606714130.0340675304166659
0.156.905450293933930.0390002486449727
0.166.917036662324180.0438951781406876
0.176.929631294087420.0483357035560044
0.186.943057940412750.0518931394827091
0.196.957061724438620.0542461992839411
0.26.971343820062740.0553049649902303
0.216.985611443178490.0552142433672799
0.226.999627670780180.0543248137449072
0.237.013247700719520.0530897543829682
0.247.026434572728170.0519963141191011
0.257.039254571180440.0514405443882818
0.267.051857584119920.0517472486321373
0.277.064449504864840.0530768227267244
0.287.077263069644260.0554840237007914
0.297.09053194316790.0589035100499877
0.37.104471730145570.0632098427485959
0.317.119271240020040.0682502227467101
0.327.135097072649420.0739087551939278
0.337.152113262371840.0802242066243963
0.347.170514492418950.0874699935442507
0.357.190566447892120.0961636806570013
0.367.212641596025040.107055118071142
0.377.237235274807460.120921744515481
0.387.264947617701330.138331512719287
0.397.296422702353360.15931905262055
0.47.332246784180220.183214215236543
0.417.372820066301720.20860882584366
0.427.418227378982510.233502008481209
0.437.468138517789930.255494448221052
0.447.521766260967820.272235143505087
0.457.577899102076470.281750545345995
0.467.635009059513470.282827705770026
0.477.691417165698970.275194703563322
0.487.745485558510570.259576844301562
0.497.795799458818410.237560047575809
0.57.841306129108960.211242401599892
0.517.881389607452550.182953701132624
0.527.915875738338080.154857682363228
0.537.944977073757910.128720275810715
0.547.969197674921170.105754853941741
0.557.98922173648260.0865837798835067
0.568.00580757963170.0713539749914083
0.578.019701965451160.0597992474836695
0.588.03158163879520.0514561851612028
0.598.042021971042660.0457177072073725
0.68.051487955035770.0419812428753587
0.618.060340868206010.0397528775546803
0.628.068854033639350.0385912265535429
0.638.077232296432190.0381967126352943
0.648.085631260644530.0383606655788667
0.658.094173586448620.038982507688888
0.668.102960730744390.0399839278558248
0.678.112079629793960.0413143226991471
0.688.121605080798580.0429258062162771
0.698.131599803203660.0447476966111351
0.78.142114895071890.0466947005486726
0.718.153193153158090.0486917188408362
0.728.164876328612150.0507258487694256
0.738.177215273071450.0528530949744617
0.748.190280095878240.0551762595569757
0.758.20416705925320.0578250274326629
0.768.219000598333680.0609099679528403
0.778.23493200958430.0644805750512863
0.788.25213915546880.0685549525092577
0.798.270831535377670.0731545799026515
0.88.29126064056680.078388726989659
0.818.313727393280980.084452502077159
0.828.33857053340270.091500631379513
0.838.366118018584090.09945986770721
0.848.396592877624260.107807997209199
0.858.429985666244530.1155124091073
0.868.465930544967970.121107969992867
0.878.503638074764050.123102980592332
0.888.541932559899840.120412764195257
0.898.579410909753690.112758884244413
0.98.614691934468560.100847055261758
0.918.646678406666470.0862251924892792
0.928.674731630893840.0708136702513637
0.938.698680754782580.0563010389427426
0.948.718669726941390.0435719288166357
0.958.734966797496660.0325930465631616
0.968.747938903752660.0230717737478297
0.978.758268673348250.0154550934773085
0.988.767051569163050.010953668396488
0.998.774889978781620.00965165684089662

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80304937190049 & 0.00819424876721944 \tabularnewline
0.02 & 6.81117530992615 & 0.0176874658314704 \tabularnewline
0.03 & 6.82252937345823 & 0.0206740269327343 \tabularnewline
0.04 & 6.83352691143317 & 0.0171658859762806 \tabularnewline
0.05 & 6.84190695451843 & 0.0116482526916817 \tabularnewline
0.06 & 6.84754249227567 & 0.00796713319949593 \tabularnewline
0.07 & 6.85152956088952 & 0.00767111019255527 \tabularnewline
0.08 & 6.85511346077259 & 0.00988390738579974 \tabularnewline
0.09 & 6.85916620046414 & 0.0132188106025606 \tabularnewline
0.1 & 6.86413480816721 & 0.0169914323553581 \tabularnewline
0.11 & 6.87018120403798 & 0.0209286881925799 \tabularnewline
0.12 & 6.87733468630558 & 0.025027157041073 \tabularnewline
0.13 & 6.88559267864105 & 0.0293806700499663 \tabularnewline
0.14 & 6.89496160671413 & 0.0340675304166659 \tabularnewline
0.15 & 6.90545029393393 & 0.0390002486449727 \tabularnewline
0.16 & 6.91703666232418 & 0.0438951781406876 \tabularnewline
0.17 & 6.92963129408742 & 0.0483357035560044 \tabularnewline
0.18 & 6.94305794041275 & 0.0518931394827091 \tabularnewline
0.19 & 6.95706172443862 & 0.0542461992839411 \tabularnewline
0.2 & 6.97134382006274 & 0.0553049649902303 \tabularnewline
0.21 & 6.98561144317849 & 0.0552142433672799 \tabularnewline
0.22 & 6.99962767078018 & 0.0543248137449072 \tabularnewline
0.23 & 7.01324770071952 & 0.0530897543829682 \tabularnewline
0.24 & 7.02643457272817 & 0.0519963141191011 \tabularnewline
0.25 & 7.03925457118044 & 0.0514405443882818 \tabularnewline
0.26 & 7.05185758411992 & 0.0517472486321373 \tabularnewline
0.27 & 7.06444950486484 & 0.0530768227267244 \tabularnewline
0.28 & 7.07726306964426 & 0.0554840237007914 \tabularnewline
0.29 & 7.0905319431679 & 0.0589035100499877 \tabularnewline
0.3 & 7.10447173014557 & 0.0632098427485959 \tabularnewline
0.31 & 7.11927124002004 & 0.0682502227467101 \tabularnewline
0.32 & 7.13509707264942 & 0.0739087551939278 \tabularnewline
0.33 & 7.15211326237184 & 0.0802242066243963 \tabularnewline
0.34 & 7.17051449241895 & 0.0874699935442507 \tabularnewline
0.35 & 7.19056644789212 & 0.0961636806570013 \tabularnewline
0.36 & 7.21264159602504 & 0.107055118071142 \tabularnewline
0.37 & 7.23723527480746 & 0.120921744515481 \tabularnewline
0.38 & 7.26494761770133 & 0.138331512719287 \tabularnewline
0.39 & 7.29642270235336 & 0.15931905262055 \tabularnewline
0.4 & 7.33224678418022 & 0.183214215236543 \tabularnewline
0.41 & 7.37282006630172 & 0.20860882584366 \tabularnewline
0.42 & 7.41822737898251 & 0.233502008481209 \tabularnewline
0.43 & 7.46813851778993 & 0.255494448221052 \tabularnewline
0.44 & 7.52176626096782 & 0.272235143505087 \tabularnewline
0.45 & 7.57789910207647 & 0.281750545345995 \tabularnewline
0.46 & 7.63500905951347 & 0.282827705770026 \tabularnewline
0.47 & 7.69141716569897 & 0.275194703563322 \tabularnewline
0.48 & 7.74548555851057 & 0.259576844301562 \tabularnewline
0.49 & 7.79579945881841 & 0.237560047575809 \tabularnewline
0.5 & 7.84130612910896 & 0.211242401599892 \tabularnewline
0.51 & 7.88138960745255 & 0.182953701132624 \tabularnewline
0.52 & 7.91587573833808 & 0.154857682363228 \tabularnewline
0.53 & 7.94497707375791 & 0.128720275810715 \tabularnewline
0.54 & 7.96919767492117 & 0.105754853941741 \tabularnewline
0.55 & 7.9892217364826 & 0.0865837798835067 \tabularnewline
0.56 & 8.0058075796317 & 0.0713539749914083 \tabularnewline
0.57 & 8.01970196545116 & 0.0597992474836695 \tabularnewline
0.58 & 8.0315816387952 & 0.0514561851612028 \tabularnewline
0.59 & 8.04202197104266 & 0.0457177072073725 \tabularnewline
0.6 & 8.05148795503577 & 0.0419812428753587 \tabularnewline
0.61 & 8.06034086820601 & 0.0397528775546803 \tabularnewline
0.62 & 8.06885403363935 & 0.0385912265535429 \tabularnewline
0.63 & 8.07723229643219 & 0.0381967126352943 \tabularnewline
0.64 & 8.08563126064453 & 0.0383606655788667 \tabularnewline
0.65 & 8.09417358644862 & 0.038982507688888 \tabularnewline
0.66 & 8.10296073074439 & 0.0399839278558248 \tabularnewline
0.67 & 8.11207962979396 & 0.0413143226991471 \tabularnewline
0.68 & 8.12160508079858 & 0.0429258062162771 \tabularnewline
0.69 & 8.13159980320366 & 0.0447476966111351 \tabularnewline
0.7 & 8.14211489507189 & 0.0466947005486726 \tabularnewline
0.71 & 8.15319315315809 & 0.0486917188408362 \tabularnewline
0.72 & 8.16487632861215 & 0.0507258487694256 \tabularnewline
0.73 & 8.17721527307145 & 0.0528530949744617 \tabularnewline
0.74 & 8.19028009587824 & 0.0551762595569757 \tabularnewline
0.75 & 8.2041670592532 & 0.0578250274326629 \tabularnewline
0.76 & 8.21900059833368 & 0.0609099679528403 \tabularnewline
0.77 & 8.2349320095843 & 0.0644805750512863 \tabularnewline
0.78 & 8.2521391554688 & 0.0685549525092577 \tabularnewline
0.79 & 8.27083153537767 & 0.0731545799026515 \tabularnewline
0.8 & 8.2912606405668 & 0.078388726989659 \tabularnewline
0.81 & 8.31372739328098 & 0.084452502077159 \tabularnewline
0.82 & 8.3385705334027 & 0.091500631379513 \tabularnewline
0.83 & 8.36611801858409 & 0.09945986770721 \tabularnewline
0.84 & 8.39659287762426 & 0.107807997209199 \tabularnewline
0.85 & 8.42998566624453 & 0.1155124091073 \tabularnewline
0.86 & 8.46593054496797 & 0.121107969992867 \tabularnewline
0.87 & 8.50363807476405 & 0.123102980592332 \tabularnewline
0.88 & 8.54193255989984 & 0.120412764195257 \tabularnewline
0.89 & 8.57941090975369 & 0.112758884244413 \tabularnewline
0.9 & 8.61469193446856 & 0.100847055261758 \tabularnewline
0.91 & 8.64667840666647 & 0.0862251924892792 \tabularnewline
0.92 & 8.67473163089384 & 0.0708136702513637 \tabularnewline
0.93 & 8.69868075478258 & 0.0563010389427426 \tabularnewline
0.94 & 8.71866972694139 & 0.0435719288166357 \tabularnewline
0.95 & 8.73496679749666 & 0.0325930465631616 \tabularnewline
0.96 & 8.74793890375266 & 0.0230717737478297 \tabularnewline
0.97 & 8.75826867334825 & 0.0154550934773085 \tabularnewline
0.98 & 8.76705156916305 & 0.010953668396488 \tabularnewline
0.99 & 8.77488997878162 & 0.00965165684089662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277375&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]6.80304937190049[/C][C]0.00819424876721944[/C][/ROW]
[ROW][C]0.02[/C][C]6.81117530992615[/C][C]0.0176874658314704[/C][/ROW]
[ROW][C]0.03[/C][C]6.82252937345823[/C][C]0.0206740269327343[/C][/ROW]
[ROW][C]0.04[/C][C]6.83352691143317[/C][C]0.0171658859762806[/C][/ROW]
[ROW][C]0.05[/C][C]6.84190695451843[/C][C]0.0116482526916817[/C][/ROW]
[ROW][C]0.06[/C][C]6.84754249227567[/C][C]0.00796713319949593[/C][/ROW]
[ROW][C]0.07[/C][C]6.85152956088952[/C][C]0.00767111019255527[/C][/ROW]
[ROW][C]0.08[/C][C]6.85511346077259[/C][C]0.00988390738579974[/C][/ROW]
[ROW][C]0.09[/C][C]6.85916620046414[/C][C]0.0132188106025606[/C][/ROW]
[ROW][C]0.1[/C][C]6.86413480816721[/C][C]0.0169914323553581[/C][/ROW]
[ROW][C]0.11[/C][C]6.87018120403798[/C][C]0.0209286881925799[/C][/ROW]
[ROW][C]0.12[/C][C]6.87733468630558[/C][C]0.025027157041073[/C][/ROW]
[ROW][C]0.13[/C][C]6.88559267864105[/C][C]0.0293806700499663[/C][/ROW]
[ROW][C]0.14[/C][C]6.89496160671413[/C][C]0.0340675304166659[/C][/ROW]
[ROW][C]0.15[/C][C]6.90545029393393[/C][C]0.0390002486449727[/C][/ROW]
[ROW][C]0.16[/C][C]6.91703666232418[/C][C]0.0438951781406876[/C][/ROW]
[ROW][C]0.17[/C][C]6.92963129408742[/C][C]0.0483357035560044[/C][/ROW]
[ROW][C]0.18[/C][C]6.94305794041275[/C][C]0.0518931394827091[/C][/ROW]
[ROW][C]0.19[/C][C]6.95706172443862[/C][C]0.0542461992839411[/C][/ROW]
[ROW][C]0.2[/C][C]6.97134382006274[/C][C]0.0553049649902303[/C][/ROW]
[ROW][C]0.21[/C][C]6.98561144317849[/C][C]0.0552142433672799[/C][/ROW]
[ROW][C]0.22[/C][C]6.99962767078018[/C][C]0.0543248137449072[/C][/ROW]
[ROW][C]0.23[/C][C]7.01324770071952[/C][C]0.0530897543829682[/C][/ROW]
[ROW][C]0.24[/C][C]7.02643457272817[/C][C]0.0519963141191011[/C][/ROW]
[ROW][C]0.25[/C][C]7.03925457118044[/C][C]0.0514405443882818[/C][/ROW]
[ROW][C]0.26[/C][C]7.05185758411992[/C][C]0.0517472486321373[/C][/ROW]
[ROW][C]0.27[/C][C]7.06444950486484[/C][C]0.0530768227267244[/C][/ROW]
[ROW][C]0.28[/C][C]7.07726306964426[/C][C]0.0554840237007914[/C][/ROW]
[ROW][C]0.29[/C][C]7.0905319431679[/C][C]0.0589035100499877[/C][/ROW]
[ROW][C]0.3[/C][C]7.10447173014557[/C][C]0.0632098427485959[/C][/ROW]
[ROW][C]0.31[/C][C]7.11927124002004[/C][C]0.0682502227467101[/C][/ROW]
[ROW][C]0.32[/C][C]7.13509707264942[/C][C]0.0739087551939278[/C][/ROW]
[ROW][C]0.33[/C][C]7.15211326237184[/C][C]0.0802242066243963[/C][/ROW]
[ROW][C]0.34[/C][C]7.17051449241895[/C][C]0.0874699935442507[/C][/ROW]
[ROW][C]0.35[/C][C]7.19056644789212[/C][C]0.0961636806570013[/C][/ROW]
[ROW][C]0.36[/C][C]7.21264159602504[/C][C]0.107055118071142[/C][/ROW]
[ROW][C]0.37[/C][C]7.23723527480746[/C][C]0.120921744515481[/C][/ROW]
[ROW][C]0.38[/C][C]7.26494761770133[/C][C]0.138331512719287[/C][/ROW]
[ROW][C]0.39[/C][C]7.29642270235336[/C][C]0.15931905262055[/C][/ROW]
[ROW][C]0.4[/C][C]7.33224678418022[/C][C]0.183214215236543[/C][/ROW]
[ROW][C]0.41[/C][C]7.37282006630172[/C][C]0.20860882584366[/C][/ROW]
[ROW][C]0.42[/C][C]7.41822737898251[/C][C]0.233502008481209[/C][/ROW]
[ROW][C]0.43[/C][C]7.46813851778993[/C][C]0.255494448221052[/C][/ROW]
[ROW][C]0.44[/C][C]7.52176626096782[/C][C]0.272235143505087[/C][/ROW]
[ROW][C]0.45[/C][C]7.57789910207647[/C][C]0.281750545345995[/C][/ROW]
[ROW][C]0.46[/C][C]7.63500905951347[/C][C]0.282827705770026[/C][/ROW]
[ROW][C]0.47[/C][C]7.69141716569897[/C][C]0.275194703563322[/C][/ROW]
[ROW][C]0.48[/C][C]7.74548555851057[/C][C]0.259576844301562[/C][/ROW]
[ROW][C]0.49[/C][C]7.79579945881841[/C][C]0.237560047575809[/C][/ROW]
[ROW][C]0.5[/C][C]7.84130612910896[/C][C]0.211242401599892[/C][/ROW]
[ROW][C]0.51[/C][C]7.88138960745255[/C][C]0.182953701132624[/C][/ROW]
[ROW][C]0.52[/C][C]7.91587573833808[/C][C]0.154857682363228[/C][/ROW]
[ROW][C]0.53[/C][C]7.94497707375791[/C][C]0.128720275810715[/C][/ROW]
[ROW][C]0.54[/C][C]7.96919767492117[/C][C]0.105754853941741[/C][/ROW]
[ROW][C]0.55[/C][C]7.9892217364826[/C][C]0.0865837798835067[/C][/ROW]
[ROW][C]0.56[/C][C]8.0058075796317[/C][C]0.0713539749914083[/C][/ROW]
[ROW][C]0.57[/C][C]8.01970196545116[/C][C]0.0597992474836695[/C][/ROW]
[ROW][C]0.58[/C][C]8.0315816387952[/C][C]0.0514561851612028[/C][/ROW]
[ROW][C]0.59[/C][C]8.04202197104266[/C][C]0.0457177072073725[/C][/ROW]
[ROW][C]0.6[/C][C]8.05148795503577[/C][C]0.0419812428753587[/C][/ROW]
[ROW][C]0.61[/C][C]8.06034086820601[/C][C]0.0397528775546803[/C][/ROW]
[ROW][C]0.62[/C][C]8.06885403363935[/C][C]0.0385912265535429[/C][/ROW]
[ROW][C]0.63[/C][C]8.07723229643219[/C][C]0.0381967126352943[/C][/ROW]
[ROW][C]0.64[/C][C]8.08563126064453[/C][C]0.0383606655788667[/C][/ROW]
[ROW][C]0.65[/C][C]8.09417358644862[/C][C]0.038982507688888[/C][/ROW]
[ROW][C]0.66[/C][C]8.10296073074439[/C][C]0.0399839278558248[/C][/ROW]
[ROW][C]0.67[/C][C]8.11207962979396[/C][C]0.0413143226991471[/C][/ROW]
[ROW][C]0.68[/C][C]8.12160508079858[/C][C]0.0429258062162771[/C][/ROW]
[ROW][C]0.69[/C][C]8.13159980320366[/C][C]0.0447476966111351[/C][/ROW]
[ROW][C]0.7[/C][C]8.14211489507189[/C][C]0.0466947005486726[/C][/ROW]
[ROW][C]0.71[/C][C]8.15319315315809[/C][C]0.0486917188408362[/C][/ROW]
[ROW][C]0.72[/C][C]8.16487632861215[/C][C]0.0507258487694256[/C][/ROW]
[ROW][C]0.73[/C][C]8.17721527307145[/C][C]0.0528530949744617[/C][/ROW]
[ROW][C]0.74[/C][C]8.19028009587824[/C][C]0.0551762595569757[/C][/ROW]
[ROW][C]0.75[/C][C]8.2041670592532[/C][C]0.0578250274326629[/C][/ROW]
[ROW][C]0.76[/C][C]8.21900059833368[/C][C]0.0609099679528403[/C][/ROW]
[ROW][C]0.77[/C][C]8.2349320095843[/C][C]0.0644805750512863[/C][/ROW]
[ROW][C]0.78[/C][C]8.2521391554688[/C][C]0.0685549525092577[/C][/ROW]
[ROW][C]0.79[/C][C]8.27083153537767[/C][C]0.0731545799026515[/C][/ROW]
[ROW][C]0.8[/C][C]8.2912606405668[/C][C]0.078388726989659[/C][/ROW]
[ROW][C]0.81[/C][C]8.31372739328098[/C][C]0.084452502077159[/C][/ROW]
[ROW][C]0.82[/C][C]8.3385705334027[/C][C]0.091500631379513[/C][/ROW]
[ROW][C]0.83[/C][C]8.36611801858409[/C][C]0.09945986770721[/C][/ROW]
[ROW][C]0.84[/C][C]8.39659287762426[/C][C]0.107807997209199[/C][/ROW]
[ROW][C]0.85[/C][C]8.42998566624453[/C][C]0.1155124091073[/C][/ROW]
[ROW][C]0.86[/C][C]8.46593054496797[/C][C]0.121107969992867[/C][/ROW]
[ROW][C]0.87[/C][C]8.50363807476405[/C][C]0.123102980592332[/C][/ROW]
[ROW][C]0.88[/C][C]8.54193255989984[/C][C]0.120412764195257[/C][/ROW]
[ROW][C]0.89[/C][C]8.57941090975369[/C][C]0.112758884244413[/C][/ROW]
[ROW][C]0.9[/C][C]8.61469193446856[/C][C]0.100847055261758[/C][/ROW]
[ROW][C]0.91[/C][C]8.64667840666647[/C][C]0.0862251924892792[/C][/ROW]
[ROW][C]0.92[/C][C]8.67473163089384[/C][C]0.0708136702513637[/C][/ROW]
[ROW][C]0.93[/C][C]8.69868075478258[/C][C]0.0563010389427426[/C][/ROW]
[ROW][C]0.94[/C][C]8.71866972694139[/C][C]0.0435719288166357[/C][/ROW]
[ROW][C]0.95[/C][C]8.73496679749666[/C][C]0.0325930465631616[/C][/ROW]
[ROW][C]0.96[/C][C]8.74793890375266[/C][C]0.0230717737478297[/C][/ROW]
[ROW][C]0.97[/C][C]8.75826867334825[/C][C]0.0154550934773085[/C][/ROW]
[ROW][C]0.98[/C][C]8.76705156916305[/C][C]0.010953668396488[/C][/ROW]
[ROW][C]0.99[/C][C]8.77488997878162[/C][C]0.00965165684089662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277375&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277375&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
0.016.803049371900490.00819424876721944
0.026.811175309926150.0176874658314704
0.036.822529373458230.0206740269327343
0.046.833526911433170.0171658859762806
0.056.841906954518430.0116482526916817
0.066.847542492275670.00796713319949593
0.076.851529560889520.00767111019255527
0.086.855113460772590.00988390738579974
0.096.859166200464140.0132188106025606
0.16.864134808167210.0169914323553581
0.116.870181204037980.0209286881925799
0.126.877334686305580.025027157041073
0.136.885592678641050.0293806700499663
0.146.894961606714130.0340675304166659
0.156.905450293933930.0390002486449727
0.166.917036662324180.0438951781406876
0.176.929631294087420.0483357035560044
0.186.943057940412750.0518931394827091
0.196.957061724438620.0542461992839411
0.26.971343820062740.0553049649902303
0.216.985611443178490.0552142433672799
0.226.999627670780180.0543248137449072
0.237.013247700719520.0530897543829682
0.247.026434572728170.0519963141191011
0.257.039254571180440.0514405443882818
0.267.051857584119920.0517472486321373
0.277.064449504864840.0530768227267244
0.287.077263069644260.0554840237007914
0.297.09053194316790.0589035100499877
0.37.104471730145570.0632098427485959
0.317.119271240020040.0682502227467101
0.327.135097072649420.0739087551939278
0.337.152113262371840.0802242066243963
0.347.170514492418950.0874699935442507
0.357.190566447892120.0961636806570013
0.367.212641596025040.107055118071142
0.377.237235274807460.120921744515481
0.387.264947617701330.138331512719287
0.397.296422702353360.15931905262055
0.47.332246784180220.183214215236543
0.417.372820066301720.20860882584366
0.427.418227378982510.233502008481209
0.437.468138517789930.255494448221052
0.447.521766260967820.272235143505087
0.457.577899102076470.281750545345995
0.467.635009059513470.282827705770026
0.477.691417165698970.275194703563322
0.487.745485558510570.259576844301562
0.497.795799458818410.237560047575809
0.57.841306129108960.211242401599892
0.517.881389607452550.182953701132624
0.527.915875738338080.154857682363228
0.537.944977073757910.128720275810715
0.547.969197674921170.105754853941741
0.557.98922173648260.0865837798835067
0.568.00580757963170.0713539749914083
0.578.019701965451160.0597992474836695
0.588.03158163879520.0514561851612028
0.598.042021971042660.0457177072073725
0.68.051487955035770.0419812428753587
0.618.060340868206010.0397528775546803
0.628.068854033639350.0385912265535429
0.638.077232296432190.0381967126352943
0.648.085631260644530.0383606655788667
0.658.094173586448620.038982507688888
0.668.102960730744390.0399839278558248
0.678.112079629793960.0413143226991471
0.688.121605080798580.0429258062162771
0.698.131599803203660.0447476966111351
0.78.142114895071890.0466947005486726
0.718.153193153158090.0486917188408362
0.728.164876328612150.0507258487694256
0.738.177215273071450.0528530949744617
0.748.190280095878240.0551762595569757
0.758.20416705925320.0578250274326629
0.768.219000598333680.0609099679528403
0.778.23493200958430.0644805750512863
0.788.25213915546880.0685549525092577
0.798.270831535377670.0731545799026515
0.88.29126064056680.078388726989659
0.818.313727393280980.084452502077159
0.828.33857053340270.091500631379513
0.838.366118018584090.09945986770721
0.848.396592877624260.107807997209199
0.858.429985666244530.1155124091073
0.868.465930544967970.121107969992867
0.878.503638074764050.123102980592332
0.888.541932559899840.120412764195257
0.898.579410909753690.112758884244413
0.98.614691934468560.100847055261758
0.918.646678406666470.0862251924892792
0.928.674731630893840.0708136702513637
0.938.698680754782580.0563010389427426
0.948.718669726941390.0435719288166357
0.958.734966797496660.0325930465631616
0.968.747938903752660.0230717737478297
0.978.758268673348250.0154550934773085
0.988.767051569163050.010953668396488
0.998.774889978781620.00965165684089662



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')