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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 17 Feb 2012 07:11:01 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/17/t1329480681khlz8064wyqw2j4.htm/, Retrieved Sat, 27 Apr 2024 09:32:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162757, Retrieved Sat, 27 Apr 2024 09:32:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2012-02-17 11:52:29] [62176cae2247e1f97e645adfc0a7b796]
- R PD    [Harrell-Davis Quantiles] [Harrell-Davis per...] [2012-02-17 12:11:01] [1c41dd1c3cda3fb9bab7d6fdffb4cffd] [Current]
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Dataseries X:
2.35
2.35
2.35
2.35
2.35
2.35
2.35
2.36
2.36
2.36
2.36
2.36
2.36
2.37
2.37
2.39
2.4
2.41
2.41
2.42
2.44
2.44
2.44
2.44
2.44
2.45
2.45
2.46
2.47
2.48
2.48
2.48
2.49
2.5
2.5
2.5
2.5
2.5
2.5
2.5
2.51
2.52
2.54
2.56
2.57
2.57
2.58
2.59
2.6
2.6
2.62
2.63
2.62
2.63
2.63
2.63
2.63
2.63
2.63
2.64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162757&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162757&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162757&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'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.350001699747028.23056864356333e-06
0.022.350010389772594.58560252998528e-05
0.032.350038389073960.000148672579099234
0.042.350107524466710.00036083776430962
0.052.350249026224040.000725639569269409
0.062.350499506751860.00125464843389501
0.072.350893444781680.00192233146722329
0.082.351454490370120.00266150715816961
0.092.352188907978120.00338364429144749
0.12.353083977821620.00400534225294164
0.112.354112390661410.00447757065855641
0.122.355241455964060.00480980512990758
0.132.356444282617490.00506567640073166
0.142.357709593424560.00537015603429514
0.152.359047518561290.00586330991293259
0.162.360490128793080.00666978918187934
0.172.362086999709210.00784332081321254
0.182.36389724749010.00937970538181588
0.192.365980015169180.0112176186601349
0.22.36838534343610.0132632071562479
0.212.371146914413460.0154130100041169
0.222.374277532782320.0175398903931954
0.232.377767589292740.0195345390545519
0.242.381586251323540.0212938519639414
0.252.385684793955840.0227438656646963
0.262.39000132768250.0238259376838652
0.272.394466172087370.024517921874562
0.282.399007229123950.0248277674790041
0.292.403554877373910.0247698696118222
0.32.408046091661410.024392804110375
0.312.412427650221360.0237461192025926
0.322.416658399356940.0229012945236219
0.332.420710597963770.021927030320944
0.342.424570374569420.0208996242591564
0.352.428237322235750.0198960711219452
0.362.431723257832070.0189845041945618
0.372.435050199646750.0182336353963029
0.382.438247674747550.0176829612034489
0.392.441349543935030.0173612460933236
0.42.444390606510110.0172633457455532
0.412.447403296004220.0173598313386591
0.422.450414783743260.0175978174604615
0.432.453444763167770.0179210584328241
0.442.456504100826080.0182630590393858
0.452.459594427372250.0185559384549593
0.462.462708626900760.0187582624808074
0.472.465832088006280.0188234231431941
0.482.468944521123260.0187292827312509
0.492.47202213000480.0184623679834121
0.52.475039945887130.018027441349281
0.512.477974177474820.017438534141612
0.522.480804480298950.0167228990038206
0.532.483516087634310.0159156821486415
0.542.48610175953660.0150656103773911
0.552.488563492525210.0142273532544051
0.562.490913895179550.0134661928653251
0.572.493177087681440.0128594535630957
0.582.495388944249730.0124869600916927
0.592.497596485204980.0124387282620394
0.62.499856254964040.0127771816745859
0.612.50223160089030.0135479704544986
0.622.504788892859710.0147475700200466
0.632.507592881054620.0163370544743954
0.642.51070155646630.018240284084146
0.652.5141610245430.020353760278768
0.662.518000994739760.022557072552584
0.672.522231498569650.0247170461232558
0.682.526841357864880.0267021938844784
0.692.531798731899240.0283949049707539
0.72.5370537961690.0297014215532949
0.712.542543287050450.0305603326540268
0.722.54819634068770.0309554093570726
0.732.553940821692760.0309007705381871
0.742.559709229319490.0304519570779218
0.752.565443315631690.029689969430533
0.762.571096751174190.0287060700627322
0.772.576635496394280.0275872113360985
0.782.582035924677430.0264032587381452
0.792.587281127379910.0251942834965345
0.82.592356148501860.023970973098767
0.812.597243097714140.0227140271328539
0.822.601917146290880.0213819041216206
0.832.606344310241750.0199249205136393
0.842.610481671645180.0183016376195214
0.852.614280298554310.016487449788643
0.862.617690629923190.0144915042108795
0.872.620669559621720.0123573923239478
0.882.623187992422370.0101641466056401
0.892.625237416965530.00801136527171719
0.92.626834254947350.00600952460318741
0.912.628021626953460.00425731688865869
0.922.628869858079220.00282793445952665
0.932.629479224911510.00176320560576178
0.942.629989466990350.00110101862947972
0.952.630595990309150.00101329490649854
0.962.631555263297440.00170879139314266
0.972.633130078887420.0031852433561234
0.982.635408492347060.00539628543306597
0.992.638015022680880.00792456919706384

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.35000169974702 & 8.23056864356333e-06 \tabularnewline
0.02 & 2.35001038977259 & 4.58560252998528e-05 \tabularnewline
0.03 & 2.35003838907396 & 0.000148672579099234 \tabularnewline
0.04 & 2.35010752446671 & 0.00036083776430962 \tabularnewline
0.05 & 2.35024902622404 & 0.000725639569269409 \tabularnewline
0.06 & 2.35049950675186 & 0.00125464843389501 \tabularnewline
0.07 & 2.35089344478168 & 0.00192233146722329 \tabularnewline
0.08 & 2.35145449037012 & 0.00266150715816961 \tabularnewline
0.09 & 2.35218890797812 & 0.00338364429144749 \tabularnewline
0.1 & 2.35308397782162 & 0.00400534225294164 \tabularnewline
0.11 & 2.35411239066141 & 0.00447757065855641 \tabularnewline
0.12 & 2.35524145596406 & 0.00480980512990758 \tabularnewline
0.13 & 2.35644428261749 & 0.00506567640073166 \tabularnewline
0.14 & 2.35770959342456 & 0.00537015603429514 \tabularnewline
0.15 & 2.35904751856129 & 0.00586330991293259 \tabularnewline
0.16 & 2.36049012879308 & 0.00666978918187934 \tabularnewline
0.17 & 2.36208699970921 & 0.00784332081321254 \tabularnewline
0.18 & 2.3638972474901 & 0.00937970538181588 \tabularnewline
0.19 & 2.36598001516918 & 0.0112176186601349 \tabularnewline
0.2 & 2.3683853434361 & 0.0132632071562479 \tabularnewline
0.21 & 2.37114691441346 & 0.0154130100041169 \tabularnewline
0.22 & 2.37427753278232 & 0.0175398903931954 \tabularnewline
0.23 & 2.37776758929274 & 0.0195345390545519 \tabularnewline
0.24 & 2.38158625132354 & 0.0212938519639414 \tabularnewline
0.25 & 2.38568479395584 & 0.0227438656646963 \tabularnewline
0.26 & 2.3900013276825 & 0.0238259376838652 \tabularnewline
0.27 & 2.39446617208737 & 0.024517921874562 \tabularnewline
0.28 & 2.39900722912395 & 0.0248277674790041 \tabularnewline
0.29 & 2.40355487737391 & 0.0247698696118222 \tabularnewline
0.3 & 2.40804609166141 & 0.024392804110375 \tabularnewline
0.31 & 2.41242765022136 & 0.0237461192025926 \tabularnewline
0.32 & 2.41665839935694 & 0.0229012945236219 \tabularnewline
0.33 & 2.42071059796377 & 0.021927030320944 \tabularnewline
0.34 & 2.42457037456942 & 0.0208996242591564 \tabularnewline
0.35 & 2.42823732223575 & 0.0198960711219452 \tabularnewline
0.36 & 2.43172325783207 & 0.0189845041945618 \tabularnewline
0.37 & 2.43505019964675 & 0.0182336353963029 \tabularnewline
0.38 & 2.43824767474755 & 0.0176829612034489 \tabularnewline
0.39 & 2.44134954393503 & 0.0173612460933236 \tabularnewline
0.4 & 2.44439060651011 & 0.0172633457455532 \tabularnewline
0.41 & 2.44740329600422 & 0.0173598313386591 \tabularnewline
0.42 & 2.45041478374326 & 0.0175978174604615 \tabularnewline
0.43 & 2.45344476316777 & 0.0179210584328241 \tabularnewline
0.44 & 2.45650410082608 & 0.0182630590393858 \tabularnewline
0.45 & 2.45959442737225 & 0.0185559384549593 \tabularnewline
0.46 & 2.46270862690076 & 0.0187582624808074 \tabularnewline
0.47 & 2.46583208800628 & 0.0188234231431941 \tabularnewline
0.48 & 2.46894452112326 & 0.0187292827312509 \tabularnewline
0.49 & 2.4720221300048 & 0.0184623679834121 \tabularnewline
0.5 & 2.47503994588713 & 0.018027441349281 \tabularnewline
0.51 & 2.47797417747482 & 0.017438534141612 \tabularnewline
0.52 & 2.48080448029895 & 0.0167228990038206 \tabularnewline
0.53 & 2.48351608763431 & 0.0159156821486415 \tabularnewline
0.54 & 2.4861017595366 & 0.0150656103773911 \tabularnewline
0.55 & 2.48856349252521 & 0.0142273532544051 \tabularnewline
0.56 & 2.49091389517955 & 0.0134661928653251 \tabularnewline
0.57 & 2.49317708768144 & 0.0128594535630957 \tabularnewline
0.58 & 2.49538894424973 & 0.0124869600916927 \tabularnewline
0.59 & 2.49759648520498 & 0.0124387282620394 \tabularnewline
0.6 & 2.49985625496404 & 0.0127771816745859 \tabularnewline
0.61 & 2.5022316008903 & 0.0135479704544986 \tabularnewline
0.62 & 2.50478889285971 & 0.0147475700200466 \tabularnewline
0.63 & 2.50759288105462 & 0.0163370544743954 \tabularnewline
0.64 & 2.5107015564663 & 0.018240284084146 \tabularnewline
0.65 & 2.514161024543 & 0.020353760278768 \tabularnewline
0.66 & 2.51800099473976 & 0.022557072552584 \tabularnewline
0.67 & 2.52223149856965 & 0.0247170461232558 \tabularnewline
0.68 & 2.52684135786488 & 0.0267021938844784 \tabularnewline
0.69 & 2.53179873189924 & 0.0283949049707539 \tabularnewline
0.7 & 2.537053796169 & 0.0297014215532949 \tabularnewline
0.71 & 2.54254328705045 & 0.0305603326540268 \tabularnewline
0.72 & 2.5481963406877 & 0.0309554093570726 \tabularnewline
0.73 & 2.55394082169276 & 0.0309007705381871 \tabularnewline
0.74 & 2.55970922931949 & 0.0304519570779218 \tabularnewline
0.75 & 2.56544331563169 & 0.029689969430533 \tabularnewline
0.76 & 2.57109675117419 & 0.0287060700627322 \tabularnewline
0.77 & 2.57663549639428 & 0.0275872113360985 \tabularnewline
0.78 & 2.58203592467743 & 0.0264032587381452 \tabularnewline
0.79 & 2.58728112737991 & 0.0251942834965345 \tabularnewline
0.8 & 2.59235614850186 & 0.023970973098767 \tabularnewline
0.81 & 2.59724309771414 & 0.0227140271328539 \tabularnewline
0.82 & 2.60191714629088 & 0.0213819041216206 \tabularnewline
0.83 & 2.60634431024175 & 0.0199249205136393 \tabularnewline
0.84 & 2.61048167164518 & 0.0183016376195214 \tabularnewline
0.85 & 2.61428029855431 & 0.016487449788643 \tabularnewline
0.86 & 2.61769062992319 & 0.0144915042108795 \tabularnewline
0.87 & 2.62066955962172 & 0.0123573923239478 \tabularnewline
0.88 & 2.62318799242237 & 0.0101641466056401 \tabularnewline
0.89 & 2.62523741696553 & 0.00801136527171719 \tabularnewline
0.9 & 2.62683425494735 & 0.00600952460318741 \tabularnewline
0.91 & 2.62802162695346 & 0.00425731688865869 \tabularnewline
0.92 & 2.62886985807922 & 0.00282793445952665 \tabularnewline
0.93 & 2.62947922491151 & 0.00176320560576178 \tabularnewline
0.94 & 2.62998946699035 & 0.00110101862947972 \tabularnewline
0.95 & 2.63059599030915 & 0.00101329490649854 \tabularnewline
0.96 & 2.63155526329744 & 0.00170879139314266 \tabularnewline
0.97 & 2.63313007888742 & 0.0031852433561234 \tabularnewline
0.98 & 2.63540849234706 & 0.00539628543306597 \tabularnewline
0.99 & 2.63801502268088 & 0.00792456919706384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162757&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]2.35000169974702[/C][C]8.23056864356333e-06[/C][/ROW]
[ROW][C]0.02[/C][C]2.35001038977259[/C][C]4.58560252998528e-05[/C][/ROW]
[ROW][C]0.03[/C][C]2.35003838907396[/C][C]0.000148672579099234[/C][/ROW]
[ROW][C]0.04[/C][C]2.35010752446671[/C][C]0.00036083776430962[/C][/ROW]
[ROW][C]0.05[/C][C]2.35024902622404[/C][C]0.000725639569269409[/C][/ROW]
[ROW][C]0.06[/C][C]2.35049950675186[/C][C]0.00125464843389501[/C][/ROW]
[ROW][C]0.07[/C][C]2.35089344478168[/C][C]0.00192233146722329[/C][/ROW]
[ROW][C]0.08[/C][C]2.35145449037012[/C][C]0.00266150715816961[/C][/ROW]
[ROW][C]0.09[/C][C]2.35218890797812[/C][C]0.00338364429144749[/C][/ROW]
[ROW][C]0.1[/C][C]2.35308397782162[/C][C]0.00400534225294164[/C][/ROW]
[ROW][C]0.11[/C][C]2.35411239066141[/C][C]0.00447757065855641[/C][/ROW]
[ROW][C]0.12[/C][C]2.35524145596406[/C][C]0.00480980512990758[/C][/ROW]
[ROW][C]0.13[/C][C]2.35644428261749[/C][C]0.00506567640073166[/C][/ROW]
[ROW][C]0.14[/C][C]2.35770959342456[/C][C]0.00537015603429514[/C][/ROW]
[ROW][C]0.15[/C][C]2.35904751856129[/C][C]0.00586330991293259[/C][/ROW]
[ROW][C]0.16[/C][C]2.36049012879308[/C][C]0.00666978918187934[/C][/ROW]
[ROW][C]0.17[/C][C]2.36208699970921[/C][C]0.00784332081321254[/C][/ROW]
[ROW][C]0.18[/C][C]2.3638972474901[/C][C]0.00937970538181588[/C][/ROW]
[ROW][C]0.19[/C][C]2.36598001516918[/C][C]0.0112176186601349[/C][/ROW]
[ROW][C]0.2[/C][C]2.3683853434361[/C][C]0.0132632071562479[/C][/ROW]
[ROW][C]0.21[/C][C]2.37114691441346[/C][C]0.0154130100041169[/C][/ROW]
[ROW][C]0.22[/C][C]2.37427753278232[/C][C]0.0175398903931954[/C][/ROW]
[ROW][C]0.23[/C][C]2.37776758929274[/C][C]0.0195345390545519[/C][/ROW]
[ROW][C]0.24[/C][C]2.38158625132354[/C][C]0.0212938519639414[/C][/ROW]
[ROW][C]0.25[/C][C]2.38568479395584[/C][C]0.0227438656646963[/C][/ROW]
[ROW][C]0.26[/C][C]2.3900013276825[/C][C]0.0238259376838652[/C][/ROW]
[ROW][C]0.27[/C][C]2.39446617208737[/C][C]0.024517921874562[/C][/ROW]
[ROW][C]0.28[/C][C]2.39900722912395[/C][C]0.0248277674790041[/C][/ROW]
[ROW][C]0.29[/C][C]2.40355487737391[/C][C]0.0247698696118222[/C][/ROW]
[ROW][C]0.3[/C][C]2.40804609166141[/C][C]0.024392804110375[/C][/ROW]
[ROW][C]0.31[/C][C]2.41242765022136[/C][C]0.0237461192025926[/C][/ROW]
[ROW][C]0.32[/C][C]2.41665839935694[/C][C]0.0229012945236219[/C][/ROW]
[ROW][C]0.33[/C][C]2.42071059796377[/C][C]0.021927030320944[/C][/ROW]
[ROW][C]0.34[/C][C]2.42457037456942[/C][C]0.0208996242591564[/C][/ROW]
[ROW][C]0.35[/C][C]2.42823732223575[/C][C]0.0198960711219452[/C][/ROW]
[ROW][C]0.36[/C][C]2.43172325783207[/C][C]0.0189845041945618[/C][/ROW]
[ROW][C]0.37[/C][C]2.43505019964675[/C][C]0.0182336353963029[/C][/ROW]
[ROW][C]0.38[/C][C]2.43824767474755[/C][C]0.0176829612034489[/C][/ROW]
[ROW][C]0.39[/C][C]2.44134954393503[/C][C]0.0173612460933236[/C][/ROW]
[ROW][C]0.4[/C][C]2.44439060651011[/C][C]0.0172633457455532[/C][/ROW]
[ROW][C]0.41[/C][C]2.44740329600422[/C][C]0.0173598313386591[/C][/ROW]
[ROW][C]0.42[/C][C]2.45041478374326[/C][C]0.0175978174604615[/C][/ROW]
[ROW][C]0.43[/C][C]2.45344476316777[/C][C]0.0179210584328241[/C][/ROW]
[ROW][C]0.44[/C][C]2.45650410082608[/C][C]0.0182630590393858[/C][/ROW]
[ROW][C]0.45[/C][C]2.45959442737225[/C][C]0.0185559384549593[/C][/ROW]
[ROW][C]0.46[/C][C]2.46270862690076[/C][C]0.0187582624808074[/C][/ROW]
[ROW][C]0.47[/C][C]2.46583208800628[/C][C]0.0188234231431941[/C][/ROW]
[ROW][C]0.48[/C][C]2.46894452112326[/C][C]0.0187292827312509[/C][/ROW]
[ROW][C]0.49[/C][C]2.4720221300048[/C][C]0.0184623679834121[/C][/ROW]
[ROW][C]0.5[/C][C]2.47503994588713[/C][C]0.018027441349281[/C][/ROW]
[ROW][C]0.51[/C][C]2.47797417747482[/C][C]0.017438534141612[/C][/ROW]
[ROW][C]0.52[/C][C]2.48080448029895[/C][C]0.0167228990038206[/C][/ROW]
[ROW][C]0.53[/C][C]2.48351608763431[/C][C]0.0159156821486415[/C][/ROW]
[ROW][C]0.54[/C][C]2.4861017595366[/C][C]0.0150656103773911[/C][/ROW]
[ROW][C]0.55[/C][C]2.48856349252521[/C][C]0.0142273532544051[/C][/ROW]
[ROW][C]0.56[/C][C]2.49091389517955[/C][C]0.0134661928653251[/C][/ROW]
[ROW][C]0.57[/C][C]2.49317708768144[/C][C]0.0128594535630957[/C][/ROW]
[ROW][C]0.58[/C][C]2.49538894424973[/C][C]0.0124869600916927[/C][/ROW]
[ROW][C]0.59[/C][C]2.49759648520498[/C][C]0.0124387282620394[/C][/ROW]
[ROW][C]0.6[/C][C]2.49985625496404[/C][C]0.0127771816745859[/C][/ROW]
[ROW][C]0.61[/C][C]2.5022316008903[/C][C]0.0135479704544986[/C][/ROW]
[ROW][C]0.62[/C][C]2.50478889285971[/C][C]0.0147475700200466[/C][/ROW]
[ROW][C]0.63[/C][C]2.50759288105462[/C][C]0.0163370544743954[/C][/ROW]
[ROW][C]0.64[/C][C]2.5107015564663[/C][C]0.018240284084146[/C][/ROW]
[ROW][C]0.65[/C][C]2.514161024543[/C][C]0.020353760278768[/C][/ROW]
[ROW][C]0.66[/C][C]2.51800099473976[/C][C]0.022557072552584[/C][/ROW]
[ROW][C]0.67[/C][C]2.52223149856965[/C][C]0.0247170461232558[/C][/ROW]
[ROW][C]0.68[/C][C]2.52684135786488[/C][C]0.0267021938844784[/C][/ROW]
[ROW][C]0.69[/C][C]2.53179873189924[/C][C]0.0283949049707539[/C][/ROW]
[ROW][C]0.7[/C][C]2.537053796169[/C][C]0.0297014215532949[/C][/ROW]
[ROW][C]0.71[/C][C]2.54254328705045[/C][C]0.0305603326540268[/C][/ROW]
[ROW][C]0.72[/C][C]2.5481963406877[/C][C]0.0309554093570726[/C][/ROW]
[ROW][C]0.73[/C][C]2.55394082169276[/C][C]0.0309007705381871[/C][/ROW]
[ROW][C]0.74[/C][C]2.55970922931949[/C][C]0.0304519570779218[/C][/ROW]
[ROW][C]0.75[/C][C]2.56544331563169[/C][C]0.029689969430533[/C][/ROW]
[ROW][C]0.76[/C][C]2.57109675117419[/C][C]0.0287060700627322[/C][/ROW]
[ROW][C]0.77[/C][C]2.57663549639428[/C][C]0.0275872113360985[/C][/ROW]
[ROW][C]0.78[/C][C]2.58203592467743[/C][C]0.0264032587381452[/C][/ROW]
[ROW][C]0.79[/C][C]2.58728112737991[/C][C]0.0251942834965345[/C][/ROW]
[ROW][C]0.8[/C][C]2.59235614850186[/C][C]0.023970973098767[/C][/ROW]
[ROW][C]0.81[/C][C]2.59724309771414[/C][C]0.0227140271328539[/C][/ROW]
[ROW][C]0.82[/C][C]2.60191714629088[/C][C]0.0213819041216206[/C][/ROW]
[ROW][C]0.83[/C][C]2.60634431024175[/C][C]0.0199249205136393[/C][/ROW]
[ROW][C]0.84[/C][C]2.61048167164518[/C][C]0.0183016376195214[/C][/ROW]
[ROW][C]0.85[/C][C]2.61428029855431[/C][C]0.016487449788643[/C][/ROW]
[ROW][C]0.86[/C][C]2.61769062992319[/C][C]0.0144915042108795[/C][/ROW]
[ROW][C]0.87[/C][C]2.62066955962172[/C][C]0.0123573923239478[/C][/ROW]
[ROW][C]0.88[/C][C]2.62318799242237[/C][C]0.0101641466056401[/C][/ROW]
[ROW][C]0.89[/C][C]2.62523741696553[/C][C]0.00801136527171719[/C][/ROW]
[ROW][C]0.9[/C][C]2.62683425494735[/C][C]0.00600952460318741[/C][/ROW]
[ROW][C]0.91[/C][C]2.62802162695346[/C][C]0.00425731688865869[/C][/ROW]
[ROW][C]0.92[/C][C]2.62886985807922[/C][C]0.00282793445952665[/C][/ROW]
[ROW][C]0.93[/C][C]2.62947922491151[/C][C]0.00176320560576178[/C][/ROW]
[ROW][C]0.94[/C][C]2.62998946699035[/C][C]0.00110101862947972[/C][/ROW]
[ROW][C]0.95[/C][C]2.63059599030915[/C][C]0.00101329490649854[/C][/ROW]
[ROW][C]0.96[/C][C]2.63155526329744[/C][C]0.00170879139314266[/C][/ROW]
[ROW][C]0.97[/C][C]2.63313007888742[/C][C]0.0031852433561234[/C][/ROW]
[ROW][C]0.98[/C][C]2.63540849234706[/C][C]0.00539628543306597[/C][/ROW]
[ROW][C]0.99[/C][C]2.63801502268088[/C][C]0.00792456919706384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162757&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162757&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
0.012.350001699747028.23056864356333e-06
0.022.350010389772594.58560252998528e-05
0.032.350038389073960.000148672579099234
0.042.350107524466710.00036083776430962
0.052.350249026224040.000725639569269409
0.062.350499506751860.00125464843389501
0.072.350893444781680.00192233146722329
0.082.351454490370120.00266150715816961
0.092.352188907978120.00338364429144749
0.12.353083977821620.00400534225294164
0.112.354112390661410.00447757065855641
0.122.355241455964060.00480980512990758
0.132.356444282617490.00506567640073166
0.142.357709593424560.00537015603429514
0.152.359047518561290.00586330991293259
0.162.360490128793080.00666978918187934
0.172.362086999709210.00784332081321254
0.182.36389724749010.00937970538181588
0.192.365980015169180.0112176186601349
0.22.36838534343610.0132632071562479
0.212.371146914413460.0154130100041169
0.222.374277532782320.0175398903931954
0.232.377767589292740.0195345390545519
0.242.381586251323540.0212938519639414
0.252.385684793955840.0227438656646963
0.262.39000132768250.0238259376838652
0.272.394466172087370.024517921874562
0.282.399007229123950.0248277674790041
0.292.403554877373910.0247698696118222
0.32.408046091661410.024392804110375
0.312.412427650221360.0237461192025926
0.322.416658399356940.0229012945236219
0.332.420710597963770.021927030320944
0.342.424570374569420.0208996242591564
0.352.428237322235750.0198960711219452
0.362.431723257832070.0189845041945618
0.372.435050199646750.0182336353963029
0.382.438247674747550.0176829612034489
0.392.441349543935030.0173612460933236
0.42.444390606510110.0172633457455532
0.412.447403296004220.0173598313386591
0.422.450414783743260.0175978174604615
0.432.453444763167770.0179210584328241
0.442.456504100826080.0182630590393858
0.452.459594427372250.0185559384549593
0.462.462708626900760.0187582624808074
0.472.465832088006280.0188234231431941
0.482.468944521123260.0187292827312509
0.492.47202213000480.0184623679834121
0.52.475039945887130.018027441349281
0.512.477974177474820.017438534141612
0.522.480804480298950.0167228990038206
0.532.483516087634310.0159156821486415
0.542.48610175953660.0150656103773911
0.552.488563492525210.0142273532544051
0.562.490913895179550.0134661928653251
0.572.493177087681440.0128594535630957
0.582.495388944249730.0124869600916927
0.592.497596485204980.0124387282620394
0.62.499856254964040.0127771816745859
0.612.50223160089030.0135479704544986
0.622.504788892859710.0147475700200466
0.632.507592881054620.0163370544743954
0.642.51070155646630.018240284084146
0.652.5141610245430.020353760278768
0.662.518000994739760.022557072552584
0.672.522231498569650.0247170461232558
0.682.526841357864880.0267021938844784
0.692.531798731899240.0283949049707539
0.72.5370537961690.0297014215532949
0.712.542543287050450.0305603326540268
0.722.54819634068770.0309554093570726
0.732.553940821692760.0309007705381871
0.742.559709229319490.0304519570779218
0.752.565443315631690.029689969430533
0.762.571096751174190.0287060700627322
0.772.576635496394280.0275872113360985
0.782.582035924677430.0264032587381452
0.792.587281127379910.0251942834965345
0.82.592356148501860.023970973098767
0.812.597243097714140.0227140271328539
0.822.601917146290880.0213819041216206
0.832.606344310241750.0199249205136393
0.842.610481671645180.0183016376195214
0.852.614280298554310.016487449788643
0.862.617690629923190.0144915042108795
0.872.620669559621720.0123573923239478
0.882.623187992422370.0101641466056401
0.892.625237416965530.00801136527171719
0.92.626834254947350.00600952460318741
0.912.628021626953460.00425731688865869
0.922.628869858079220.00282793445952665
0.932.629479224911510.00176320560576178
0.942.629989466990350.00110101862947972
0.952.630595990309150.00101329490649854
0.962.631555263297440.00170879139314266
0.972.633130078887420.0031852433561234
0.982.635408492347060.00539628543306597
0.992.638015022680880.00792456919706384



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')