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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Mar 2009 18:14:12 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/16/t1237162585tc8bhthut28mtel.htm/, Retrieved Fri, 19 Apr 2024 16:20:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39106, Retrieved Fri, 19 Apr 2024 16:20:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Seda Hovhannesian...] [2009-03-16 00:14:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
5.44
5.44
5.44
5.44
5.44
5.49
5.49
5.49
5.49
5.49
5.49
5.60
5.60
5.60
5.60
5.60
5.60
5.60
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.67
5.82
5.82
5.95
5.95
5.95
5.95
5.95
5.95
6.02
6.02
6.05
6.05
6.05
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.12
6.17
6.17
6.17
6.17
6.17
6.28
6.27
6.28
6.28
6.27
6.27
6.28
6.59
6.59
6.59
6.59
6.59
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.63
6.79
6.79
6.79
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




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=39106&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=39106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39106&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
0.015.440475991735490.00173402056738735
0.025.443192906455460.00802631130431542
0.035.45007420685610.0169726688659525
0.045.461049647661490.0233377531638642
0.055.474262068946220.0259816121390456
0.065.488275712339410.0291283558626934
0.075.503180347775060.0357170639856335
0.085.519676482828760.0434167724311040
0.095.537764779465490.0483875174729723
0.15.556460384602190.0488552498053479
0.115.574461825904310.0458358684787894
0.125.590924020105470.0418644090330677
0.135.60574182780870.0391331712818474
0.145.619352969071490.0384225887082373
0.155.632403245890820.0395168301845808
0.165.645558047516040.0423934491260828
0.175.65950446524620.0477313684014548
0.185.675012110078980.0563744160164794
0.195.692905571198980.0684288986791208
0.25.713901033761560.0828132195973354
0.215.738373829399050.0975305883457123
0.225.766178148103480.110236947520987
0.235.796616176871440.118967267853244
0.245.82857919761080.122662148579696
0.255.860804509614290.121411192773380
0.265.892148496465320.116276111780196
0.275.921782478678580.108842883958133
0.285.949262707942260.100671439014520
0.295.974481995411210.0928409300701255
0.35.997551535382130.0858436959849888
0.316.018673778645340.0796500678974996
0.326.03805298673110.0740003708107189
0.336.055862277634670.0687006788844645
0.346.072259343243850.0637693157606695
0.356.087427356669330.0594740254394151
0.366.101615316244650.0562816096243459
0.376.115159834690520.0547001817308497
0.386.128482288112610.0551592810823901
0.396.142065774277210.0578759579211873
0.46.156422014795930.0628784520106923
0.416.17205821078020.0700127382223196
0.426.189449190503650.07907240120536
0.436.209013735812070.0897912480695954
0.446.231089023207270.101797168327007
0.456.255896333939210.114566548736687
0.466.283495561564350.127292503969131
0.476.313734237812620.138927555780409
0.486.346205347034740.148201183269038
0.496.380232760141660.153875728568831
0.56.414900425716790.154921627296661
0.516.449131150543950.150806044020016
0.526.481806074254160.141615822603147
0.536.511902413513470.128107148102444
0.546.538620273704980.111525352868775
0.556.561472156272360.0934378246063202
0.566.580320030841550.0754296327284814
0.576.595359876971430.0588887571909655
0.586.607066613318040.0448771572039761
0.596.616118881847430.0341041997450738
0.66.623321858600980.0270506505353228
0.616.629538966653770.0240761566853252
0.626.635634021781590.0252138324280118
0.636.642418273087450.0299368104091134
0.646.650595071993830.0373563665751976
0.656.660699206221610.0464549142785891
0.666.673036266712410.0561409524428436
0.676.687635696323010.0651791694073171
0.686.704234828158350.0723850131973415
0.696.722307327235220.076801721813136
0.76.741138449343030.0778814306057074
0.716.759935486678870.0755976941974014
0.726.777950595759010.07042098415635
0.736.794589659675940.0632174329658085
0.746.809486036677970.0550233263954865
0.756.822529104023710.0468870752876534
0.766.833849537084230.0396876916353131
0.776.843772245747380.0340931406166424
0.786.8527522862840.0304771994144084
0.796.861309269562180.0289476364089683
0.86.869972400957680.0293448555023893
0.816.879241362228570.0313742830787701
0.826.889558632433540.0346861204529329
0.836.901280414957870.0388968214090959
0.846.914632850987590.0434868399631352
0.856.92965261611620.0477399301123271
0.866.946132661397960.0507831353132051
0.876.963610871321940.0518520509038533
0.886.981436464915640.0505379320264086
0.896.998922103004330.0470490657029474
0.97.015547034607930.0421897228041718
0.917.031126631427640.0371813561967077
0.927.045822619558190.0331784749350734
0.937.059903316686110.0303913172650915
0.947.07337549308130.0275928829382411
0.957.085922668237080.0233725402766307
0.967.097561025535970.0185318258796117
0.977.109845964639260.0164307442794452
0.987.127065171145970.0198952298665458
0.997.154178669157530.0327178256931279

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.44047599173549 & 0.00173402056738735 \tabularnewline
0.02 & 5.44319290645546 & 0.00802631130431542 \tabularnewline
0.03 & 5.4500742068561 & 0.0169726688659525 \tabularnewline
0.04 & 5.46104964766149 & 0.0233377531638642 \tabularnewline
0.05 & 5.47426206894622 & 0.0259816121390456 \tabularnewline
0.06 & 5.48827571233941 & 0.0291283558626934 \tabularnewline
0.07 & 5.50318034777506 & 0.0357170639856335 \tabularnewline
0.08 & 5.51967648282876 & 0.0434167724311040 \tabularnewline
0.09 & 5.53776477946549 & 0.0483875174729723 \tabularnewline
0.1 & 5.55646038460219 & 0.0488552498053479 \tabularnewline
0.11 & 5.57446182590431 & 0.0458358684787894 \tabularnewline
0.12 & 5.59092402010547 & 0.0418644090330677 \tabularnewline
0.13 & 5.6057418278087 & 0.0391331712818474 \tabularnewline
0.14 & 5.61935296907149 & 0.0384225887082373 \tabularnewline
0.15 & 5.63240324589082 & 0.0395168301845808 \tabularnewline
0.16 & 5.64555804751604 & 0.0423934491260828 \tabularnewline
0.17 & 5.6595044652462 & 0.0477313684014548 \tabularnewline
0.18 & 5.67501211007898 & 0.0563744160164794 \tabularnewline
0.19 & 5.69290557119898 & 0.0684288986791208 \tabularnewline
0.2 & 5.71390103376156 & 0.0828132195973354 \tabularnewline
0.21 & 5.73837382939905 & 0.0975305883457123 \tabularnewline
0.22 & 5.76617814810348 & 0.110236947520987 \tabularnewline
0.23 & 5.79661617687144 & 0.118967267853244 \tabularnewline
0.24 & 5.8285791976108 & 0.122662148579696 \tabularnewline
0.25 & 5.86080450961429 & 0.121411192773380 \tabularnewline
0.26 & 5.89214849646532 & 0.116276111780196 \tabularnewline
0.27 & 5.92178247867858 & 0.108842883958133 \tabularnewline
0.28 & 5.94926270794226 & 0.100671439014520 \tabularnewline
0.29 & 5.97448199541121 & 0.0928409300701255 \tabularnewline
0.3 & 5.99755153538213 & 0.0858436959849888 \tabularnewline
0.31 & 6.01867377864534 & 0.0796500678974996 \tabularnewline
0.32 & 6.0380529867311 & 0.0740003708107189 \tabularnewline
0.33 & 6.05586227763467 & 0.0687006788844645 \tabularnewline
0.34 & 6.07225934324385 & 0.0637693157606695 \tabularnewline
0.35 & 6.08742735666933 & 0.0594740254394151 \tabularnewline
0.36 & 6.10161531624465 & 0.0562816096243459 \tabularnewline
0.37 & 6.11515983469052 & 0.0547001817308497 \tabularnewline
0.38 & 6.12848228811261 & 0.0551592810823901 \tabularnewline
0.39 & 6.14206577427721 & 0.0578759579211873 \tabularnewline
0.4 & 6.15642201479593 & 0.0628784520106923 \tabularnewline
0.41 & 6.1720582107802 & 0.0700127382223196 \tabularnewline
0.42 & 6.18944919050365 & 0.07907240120536 \tabularnewline
0.43 & 6.20901373581207 & 0.0897912480695954 \tabularnewline
0.44 & 6.23108902320727 & 0.101797168327007 \tabularnewline
0.45 & 6.25589633393921 & 0.114566548736687 \tabularnewline
0.46 & 6.28349556156435 & 0.127292503969131 \tabularnewline
0.47 & 6.31373423781262 & 0.138927555780409 \tabularnewline
0.48 & 6.34620534703474 & 0.148201183269038 \tabularnewline
0.49 & 6.38023276014166 & 0.153875728568831 \tabularnewline
0.5 & 6.41490042571679 & 0.154921627296661 \tabularnewline
0.51 & 6.44913115054395 & 0.150806044020016 \tabularnewline
0.52 & 6.48180607425416 & 0.141615822603147 \tabularnewline
0.53 & 6.51190241351347 & 0.128107148102444 \tabularnewline
0.54 & 6.53862027370498 & 0.111525352868775 \tabularnewline
0.55 & 6.56147215627236 & 0.0934378246063202 \tabularnewline
0.56 & 6.58032003084155 & 0.0754296327284814 \tabularnewline
0.57 & 6.59535987697143 & 0.0588887571909655 \tabularnewline
0.58 & 6.60706661331804 & 0.0448771572039761 \tabularnewline
0.59 & 6.61611888184743 & 0.0341041997450738 \tabularnewline
0.6 & 6.62332185860098 & 0.0270506505353228 \tabularnewline
0.61 & 6.62953896665377 & 0.0240761566853252 \tabularnewline
0.62 & 6.63563402178159 & 0.0252138324280118 \tabularnewline
0.63 & 6.64241827308745 & 0.0299368104091134 \tabularnewline
0.64 & 6.65059507199383 & 0.0373563665751976 \tabularnewline
0.65 & 6.66069920622161 & 0.0464549142785891 \tabularnewline
0.66 & 6.67303626671241 & 0.0561409524428436 \tabularnewline
0.67 & 6.68763569632301 & 0.0651791694073171 \tabularnewline
0.68 & 6.70423482815835 & 0.0723850131973415 \tabularnewline
0.69 & 6.72230732723522 & 0.076801721813136 \tabularnewline
0.7 & 6.74113844934303 & 0.0778814306057074 \tabularnewline
0.71 & 6.75993548667887 & 0.0755976941974014 \tabularnewline
0.72 & 6.77795059575901 & 0.07042098415635 \tabularnewline
0.73 & 6.79458965967594 & 0.0632174329658085 \tabularnewline
0.74 & 6.80948603667797 & 0.0550233263954865 \tabularnewline
0.75 & 6.82252910402371 & 0.0468870752876534 \tabularnewline
0.76 & 6.83384953708423 & 0.0396876916353131 \tabularnewline
0.77 & 6.84377224574738 & 0.0340931406166424 \tabularnewline
0.78 & 6.852752286284 & 0.0304771994144084 \tabularnewline
0.79 & 6.86130926956218 & 0.0289476364089683 \tabularnewline
0.8 & 6.86997240095768 & 0.0293448555023893 \tabularnewline
0.81 & 6.87924136222857 & 0.0313742830787701 \tabularnewline
0.82 & 6.88955863243354 & 0.0346861204529329 \tabularnewline
0.83 & 6.90128041495787 & 0.0388968214090959 \tabularnewline
0.84 & 6.91463285098759 & 0.0434868399631352 \tabularnewline
0.85 & 6.9296526161162 & 0.0477399301123271 \tabularnewline
0.86 & 6.94613266139796 & 0.0507831353132051 \tabularnewline
0.87 & 6.96361087132194 & 0.0518520509038533 \tabularnewline
0.88 & 6.98143646491564 & 0.0505379320264086 \tabularnewline
0.89 & 6.99892210300433 & 0.0470490657029474 \tabularnewline
0.9 & 7.01554703460793 & 0.0421897228041718 \tabularnewline
0.91 & 7.03112663142764 & 0.0371813561967077 \tabularnewline
0.92 & 7.04582261955819 & 0.0331784749350734 \tabularnewline
0.93 & 7.05990331668611 & 0.0303913172650915 \tabularnewline
0.94 & 7.0733754930813 & 0.0275928829382411 \tabularnewline
0.95 & 7.08592266823708 & 0.0233725402766307 \tabularnewline
0.96 & 7.09756102553597 & 0.0185318258796117 \tabularnewline
0.97 & 7.10984596463926 & 0.0164307442794452 \tabularnewline
0.98 & 7.12706517114597 & 0.0198952298665458 \tabularnewline
0.99 & 7.15417866915753 & 0.0327178256931279 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39106&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]5.44047599173549[/C][C]0.00173402056738735[/C][/ROW]
[ROW][C]0.02[/C][C]5.44319290645546[/C][C]0.00802631130431542[/C][/ROW]
[ROW][C]0.03[/C][C]5.4500742068561[/C][C]0.0169726688659525[/C][/ROW]
[ROW][C]0.04[/C][C]5.46104964766149[/C][C]0.0233377531638642[/C][/ROW]
[ROW][C]0.05[/C][C]5.47426206894622[/C][C]0.0259816121390456[/C][/ROW]
[ROW][C]0.06[/C][C]5.48827571233941[/C][C]0.0291283558626934[/C][/ROW]
[ROW][C]0.07[/C][C]5.50318034777506[/C][C]0.0357170639856335[/C][/ROW]
[ROW][C]0.08[/C][C]5.51967648282876[/C][C]0.0434167724311040[/C][/ROW]
[ROW][C]0.09[/C][C]5.53776477946549[/C][C]0.0483875174729723[/C][/ROW]
[ROW][C]0.1[/C][C]5.55646038460219[/C][C]0.0488552498053479[/C][/ROW]
[ROW][C]0.11[/C][C]5.57446182590431[/C][C]0.0458358684787894[/C][/ROW]
[ROW][C]0.12[/C][C]5.59092402010547[/C][C]0.0418644090330677[/C][/ROW]
[ROW][C]0.13[/C][C]5.6057418278087[/C][C]0.0391331712818474[/C][/ROW]
[ROW][C]0.14[/C][C]5.61935296907149[/C][C]0.0384225887082373[/C][/ROW]
[ROW][C]0.15[/C][C]5.63240324589082[/C][C]0.0395168301845808[/C][/ROW]
[ROW][C]0.16[/C][C]5.64555804751604[/C][C]0.0423934491260828[/C][/ROW]
[ROW][C]0.17[/C][C]5.6595044652462[/C][C]0.0477313684014548[/C][/ROW]
[ROW][C]0.18[/C][C]5.67501211007898[/C][C]0.0563744160164794[/C][/ROW]
[ROW][C]0.19[/C][C]5.69290557119898[/C][C]0.0684288986791208[/C][/ROW]
[ROW][C]0.2[/C][C]5.71390103376156[/C][C]0.0828132195973354[/C][/ROW]
[ROW][C]0.21[/C][C]5.73837382939905[/C][C]0.0975305883457123[/C][/ROW]
[ROW][C]0.22[/C][C]5.76617814810348[/C][C]0.110236947520987[/C][/ROW]
[ROW][C]0.23[/C][C]5.79661617687144[/C][C]0.118967267853244[/C][/ROW]
[ROW][C]0.24[/C][C]5.8285791976108[/C][C]0.122662148579696[/C][/ROW]
[ROW][C]0.25[/C][C]5.86080450961429[/C][C]0.121411192773380[/C][/ROW]
[ROW][C]0.26[/C][C]5.89214849646532[/C][C]0.116276111780196[/C][/ROW]
[ROW][C]0.27[/C][C]5.92178247867858[/C][C]0.108842883958133[/C][/ROW]
[ROW][C]0.28[/C][C]5.94926270794226[/C][C]0.100671439014520[/C][/ROW]
[ROW][C]0.29[/C][C]5.97448199541121[/C][C]0.0928409300701255[/C][/ROW]
[ROW][C]0.3[/C][C]5.99755153538213[/C][C]0.0858436959849888[/C][/ROW]
[ROW][C]0.31[/C][C]6.01867377864534[/C][C]0.0796500678974996[/C][/ROW]
[ROW][C]0.32[/C][C]6.0380529867311[/C][C]0.0740003708107189[/C][/ROW]
[ROW][C]0.33[/C][C]6.05586227763467[/C][C]0.0687006788844645[/C][/ROW]
[ROW][C]0.34[/C][C]6.07225934324385[/C][C]0.0637693157606695[/C][/ROW]
[ROW][C]0.35[/C][C]6.08742735666933[/C][C]0.0594740254394151[/C][/ROW]
[ROW][C]0.36[/C][C]6.10161531624465[/C][C]0.0562816096243459[/C][/ROW]
[ROW][C]0.37[/C][C]6.11515983469052[/C][C]0.0547001817308497[/C][/ROW]
[ROW][C]0.38[/C][C]6.12848228811261[/C][C]0.0551592810823901[/C][/ROW]
[ROW][C]0.39[/C][C]6.14206577427721[/C][C]0.0578759579211873[/C][/ROW]
[ROW][C]0.4[/C][C]6.15642201479593[/C][C]0.0628784520106923[/C][/ROW]
[ROW][C]0.41[/C][C]6.1720582107802[/C][C]0.0700127382223196[/C][/ROW]
[ROW][C]0.42[/C][C]6.18944919050365[/C][C]0.07907240120536[/C][/ROW]
[ROW][C]0.43[/C][C]6.20901373581207[/C][C]0.0897912480695954[/C][/ROW]
[ROW][C]0.44[/C][C]6.23108902320727[/C][C]0.101797168327007[/C][/ROW]
[ROW][C]0.45[/C][C]6.25589633393921[/C][C]0.114566548736687[/C][/ROW]
[ROW][C]0.46[/C][C]6.28349556156435[/C][C]0.127292503969131[/C][/ROW]
[ROW][C]0.47[/C][C]6.31373423781262[/C][C]0.138927555780409[/C][/ROW]
[ROW][C]0.48[/C][C]6.34620534703474[/C][C]0.148201183269038[/C][/ROW]
[ROW][C]0.49[/C][C]6.38023276014166[/C][C]0.153875728568831[/C][/ROW]
[ROW][C]0.5[/C][C]6.41490042571679[/C][C]0.154921627296661[/C][/ROW]
[ROW][C]0.51[/C][C]6.44913115054395[/C][C]0.150806044020016[/C][/ROW]
[ROW][C]0.52[/C][C]6.48180607425416[/C][C]0.141615822603147[/C][/ROW]
[ROW][C]0.53[/C][C]6.51190241351347[/C][C]0.128107148102444[/C][/ROW]
[ROW][C]0.54[/C][C]6.53862027370498[/C][C]0.111525352868775[/C][/ROW]
[ROW][C]0.55[/C][C]6.56147215627236[/C][C]0.0934378246063202[/C][/ROW]
[ROW][C]0.56[/C][C]6.58032003084155[/C][C]0.0754296327284814[/C][/ROW]
[ROW][C]0.57[/C][C]6.59535987697143[/C][C]0.0588887571909655[/C][/ROW]
[ROW][C]0.58[/C][C]6.60706661331804[/C][C]0.0448771572039761[/C][/ROW]
[ROW][C]0.59[/C][C]6.61611888184743[/C][C]0.0341041997450738[/C][/ROW]
[ROW][C]0.6[/C][C]6.62332185860098[/C][C]0.0270506505353228[/C][/ROW]
[ROW][C]0.61[/C][C]6.62953896665377[/C][C]0.0240761566853252[/C][/ROW]
[ROW][C]0.62[/C][C]6.63563402178159[/C][C]0.0252138324280118[/C][/ROW]
[ROW][C]0.63[/C][C]6.64241827308745[/C][C]0.0299368104091134[/C][/ROW]
[ROW][C]0.64[/C][C]6.65059507199383[/C][C]0.0373563665751976[/C][/ROW]
[ROW][C]0.65[/C][C]6.66069920622161[/C][C]0.0464549142785891[/C][/ROW]
[ROW][C]0.66[/C][C]6.67303626671241[/C][C]0.0561409524428436[/C][/ROW]
[ROW][C]0.67[/C][C]6.68763569632301[/C][C]0.0651791694073171[/C][/ROW]
[ROW][C]0.68[/C][C]6.70423482815835[/C][C]0.0723850131973415[/C][/ROW]
[ROW][C]0.69[/C][C]6.72230732723522[/C][C]0.076801721813136[/C][/ROW]
[ROW][C]0.7[/C][C]6.74113844934303[/C][C]0.0778814306057074[/C][/ROW]
[ROW][C]0.71[/C][C]6.75993548667887[/C][C]0.0755976941974014[/C][/ROW]
[ROW][C]0.72[/C][C]6.77795059575901[/C][C]0.07042098415635[/C][/ROW]
[ROW][C]0.73[/C][C]6.79458965967594[/C][C]0.0632174329658085[/C][/ROW]
[ROW][C]0.74[/C][C]6.80948603667797[/C][C]0.0550233263954865[/C][/ROW]
[ROW][C]0.75[/C][C]6.82252910402371[/C][C]0.0468870752876534[/C][/ROW]
[ROW][C]0.76[/C][C]6.83384953708423[/C][C]0.0396876916353131[/C][/ROW]
[ROW][C]0.77[/C][C]6.84377224574738[/C][C]0.0340931406166424[/C][/ROW]
[ROW][C]0.78[/C][C]6.852752286284[/C][C]0.0304771994144084[/C][/ROW]
[ROW][C]0.79[/C][C]6.86130926956218[/C][C]0.0289476364089683[/C][/ROW]
[ROW][C]0.8[/C][C]6.86997240095768[/C][C]0.0293448555023893[/C][/ROW]
[ROW][C]0.81[/C][C]6.87924136222857[/C][C]0.0313742830787701[/C][/ROW]
[ROW][C]0.82[/C][C]6.88955863243354[/C][C]0.0346861204529329[/C][/ROW]
[ROW][C]0.83[/C][C]6.90128041495787[/C][C]0.0388968214090959[/C][/ROW]
[ROW][C]0.84[/C][C]6.91463285098759[/C][C]0.0434868399631352[/C][/ROW]
[ROW][C]0.85[/C][C]6.9296526161162[/C][C]0.0477399301123271[/C][/ROW]
[ROW][C]0.86[/C][C]6.94613266139796[/C][C]0.0507831353132051[/C][/ROW]
[ROW][C]0.87[/C][C]6.96361087132194[/C][C]0.0518520509038533[/C][/ROW]
[ROW][C]0.88[/C][C]6.98143646491564[/C][C]0.0505379320264086[/C][/ROW]
[ROW][C]0.89[/C][C]6.99892210300433[/C][C]0.0470490657029474[/C][/ROW]
[ROW][C]0.9[/C][C]7.01554703460793[/C][C]0.0421897228041718[/C][/ROW]
[ROW][C]0.91[/C][C]7.03112663142764[/C][C]0.0371813561967077[/C][/ROW]
[ROW][C]0.92[/C][C]7.04582261955819[/C][C]0.0331784749350734[/C][/ROW]
[ROW][C]0.93[/C][C]7.05990331668611[/C][C]0.0303913172650915[/C][/ROW]
[ROW][C]0.94[/C][C]7.0733754930813[/C][C]0.0275928829382411[/C][/ROW]
[ROW][C]0.95[/C][C]7.08592266823708[/C][C]0.0233725402766307[/C][/ROW]
[ROW][C]0.96[/C][C]7.09756102553597[/C][C]0.0185318258796117[/C][/ROW]
[ROW][C]0.97[/C][C]7.10984596463926[/C][C]0.0164307442794452[/C][/ROW]
[ROW][C]0.98[/C][C]7.12706517114597[/C][C]0.0198952298665458[/C][/ROW]
[ROW][C]0.99[/C][C]7.15417866915753[/C][C]0.0327178256931279[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39106&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
0.015.440475991735490.00173402056738735
0.025.443192906455460.00802631130431542
0.035.45007420685610.0169726688659525
0.045.461049647661490.0233377531638642
0.055.474262068946220.0259816121390456
0.065.488275712339410.0291283558626934
0.075.503180347775060.0357170639856335
0.085.519676482828760.0434167724311040
0.095.537764779465490.0483875174729723
0.15.556460384602190.0488552498053479
0.115.574461825904310.0458358684787894
0.125.590924020105470.0418644090330677
0.135.60574182780870.0391331712818474
0.145.619352969071490.0384225887082373
0.155.632403245890820.0395168301845808
0.165.645558047516040.0423934491260828
0.175.65950446524620.0477313684014548
0.185.675012110078980.0563744160164794
0.195.692905571198980.0684288986791208
0.25.713901033761560.0828132195973354
0.215.738373829399050.0975305883457123
0.225.766178148103480.110236947520987
0.235.796616176871440.118967267853244
0.245.82857919761080.122662148579696
0.255.860804509614290.121411192773380
0.265.892148496465320.116276111780196
0.275.921782478678580.108842883958133
0.285.949262707942260.100671439014520
0.295.974481995411210.0928409300701255
0.35.997551535382130.0858436959849888
0.316.018673778645340.0796500678974996
0.326.03805298673110.0740003708107189
0.336.055862277634670.0687006788844645
0.346.072259343243850.0637693157606695
0.356.087427356669330.0594740254394151
0.366.101615316244650.0562816096243459
0.376.115159834690520.0547001817308497
0.386.128482288112610.0551592810823901
0.396.142065774277210.0578759579211873
0.46.156422014795930.0628784520106923
0.416.17205821078020.0700127382223196
0.426.189449190503650.07907240120536
0.436.209013735812070.0897912480695954
0.446.231089023207270.101797168327007
0.456.255896333939210.114566548736687
0.466.283495561564350.127292503969131
0.476.313734237812620.138927555780409
0.486.346205347034740.148201183269038
0.496.380232760141660.153875728568831
0.56.414900425716790.154921627296661
0.516.449131150543950.150806044020016
0.526.481806074254160.141615822603147
0.536.511902413513470.128107148102444
0.546.538620273704980.111525352868775
0.556.561472156272360.0934378246063202
0.566.580320030841550.0754296327284814
0.576.595359876971430.0588887571909655
0.586.607066613318040.0448771572039761
0.596.616118881847430.0341041997450738
0.66.623321858600980.0270506505353228
0.616.629538966653770.0240761566853252
0.626.635634021781590.0252138324280118
0.636.642418273087450.0299368104091134
0.646.650595071993830.0373563665751976
0.656.660699206221610.0464549142785891
0.666.673036266712410.0561409524428436
0.676.687635696323010.0651791694073171
0.686.704234828158350.0723850131973415
0.696.722307327235220.076801721813136
0.76.741138449343030.0778814306057074
0.716.759935486678870.0755976941974014
0.726.777950595759010.07042098415635
0.736.794589659675940.0632174329658085
0.746.809486036677970.0550233263954865
0.756.822529104023710.0468870752876534
0.766.833849537084230.0396876916353131
0.776.843772245747380.0340931406166424
0.786.8527522862840.0304771994144084
0.796.861309269562180.0289476364089683
0.86.869972400957680.0293448555023893
0.816.879241362228570.0313742830787701
0.826.889558632433540.0346861204529329
0.836.901280414957870.0388968214090959
0.846.914632850987590.0434868399631352
0.856.92965261611620.0477399301123271
0.866.946132661397960.0507831353132051
0.876.963610871321940.0518520509038533
0.886.981436464915640.0505379320264086
0.896.998922103004330.0470490657029474
0.97.015547034607930.0421897228041718
0.917.031126631427640.0371813561967077
0.927.045822619558190.0331784749350734
0.937.059903316686110.0303913172650915
0.947.07337549308130.0275928829382411
0.957.085922668237080.0233725402766307
0.967.097561025535970.0185318258796117
0.977.109845964639260.0164307442794452
0.987.127065171145970.0198952298665458
0.997.154178669157530.0327178256931279



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')