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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 07 Oct 2012 10:33:13 -0400
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/Oct/07/t1349620466gc40kkoh2e1m32s.htm/, Retrieved Sat, 04 May 2024 21:06:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172958, Retrieved Sat, 04 May 2024 21:06:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-07 14:33:13] [87a39969f1a025d48c9ca00d9c3d1003] [Current]
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Dataseries X:
1.38
1.96
1.36
1.24
1.35
1.23
1.09
1.08
1.33
1.35
1.38
1.5
1.47
2.09
1.52
1.29
1.52
1.27
1.35
1.29
1.41
1.39
1.45
1.53
1.45
2.11
1.53
1.38
1.54
1.35
1.29
1.33
1.47
1.47
1.54
1.59
1.5
2
1.51
1.4
1.62
1.44
1.29
1.28
1.4
1.39
1.46
1.49
1.45
2.05
1.59
1.42
1.73
1.39
1.23
1.37
1.51
1.47
1.5
1.54
1.54
2.15
1.62
1.4
1.65
1.49
1.45
1.45
1.51
1.48
1.56
1.57




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172958&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172958&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172958&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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.093678022031710.0387463850782346
0.021.120894840509780.0651890019482539
0.031.154763374982070.0701363943070779
0.041.187285384421530.0594063517138617
0.051.213940503311210.0453037046865661
0.061.234062140495270.0349776383196239
0.071.24902684686420.0291821989625297
0.081.260550065591280.025928537522801
0.091.269921890901370.0237514735604441
0.11.27794739047760.0223074718663606
0.111.285128783669090.0217410415954502
0.121.291817306617980.022100134809245
0.131.29827238271740.0231262977905142
0.141.304663936685070.0243704425294123
0.151.311065155367190.0253912101757644
0.161.317461084619990.0258918075104978
0.171.32377585862290.0257580395685411
0.181.32990899692210.0250473055491064
0.191.335768751402710.0239345078557176
0.21.341294060573020.022642232930444
0.211.346462329141310.0213717048327313
0.221.351285192008470.0202599451749561
0.231.355797227682810.0193635105616245
0.241.360043053442910.0186651477633297
0.251.364066967276650.0181122079834871
0.261.367907233358310.0176509299411887
0.271.371595099165460.0172469946310106
0.281.375157234543180.0169045064855164
0.291.378619681921090.0166510148415109
0.31.38201149939820.0165382548050876
0.311.385366809124790.0166177318657733
0.321.388724655887860.0169312629273085
0.331.392126723805140.0174898847672407
0.341.395613437152320.0182759437637753
0.351.399219251959910.0192372116989456
0.361.402968044235180.0202914000849629
0.371.406869450388810.0213432520675046
0.381.410916844927150.0222881317921185
0.391.415087374760450.0230312354477835
0.41.419344138224970.0234973147928955
0.411.42364024336610.023643258178359
0.421.427924161910530.0234621225092261
0.431.432145574901920.0229770611626995
0.441.436260832500210.0222483719911198
0.451.44023724301410.021354454570023
0.461.444055644373130.0203875038733919
0.471.447711038397680.0194378638891155
0.481.451211407497780.0185801324042874
0.491.454575110087540.0178653383506949
0.51.457827413620390.0173254998723454
0.511.460996757002740.0169627399031959
0.521.464111256987130.0167595787659216
0.531.467195829546260.0166830312216084
0.541.470270136742240.016695788775541
0.551.473347430959110.0167539904964363
0.561.476434269643080.0168202648174065
0.571.479531012139870.0168563566265668
0.581.482632970210210.0168365488166884
0.591.485732048493740.0167452137166808
0.61.488818672451420.0165786949378197
0.611.491883764078480.0163478833577364
0.621.494920505557760.0160698414724427
0.631.497925646970140.0157735912195003
0.641.500900179644330.0154867003694214
0.651.50384931271820.0152373945352387
0.661.506781842640070.0150434456836349
0.671.509709165307610.0149164996606435
0.681.512644310730990.0148572176992992
0.691.515601440650940.0148579331086566
0.71.51859620696960.0149168587348758
0.711.521647206443680.0150376328375453
0.721.524778496570520.0152412707949479
0.731.528022810018940.0155700128945518
0.741.531424816050280.0160878358012673
0.751.535043660804420.0168707925876057
0.761.538954220763940.017991819291162
0.771.543247139349460.0195067679985995
0.781.548028804196020.0214439979515299
0.791.55342381288460.0238109265044488
0.81.559583778514860.0266317313969628
0.811.566706859968150.0300015384718468
0.821.575071189625720.034163043320511
0.831.585081296483830.0395750811683328
0.841.597318878221280.0469410142063134
0.851.612578268860770.0571056045685422
0.861.631855579126840.0707863932696868
0.871.65625515450120.0881682816251796
0.881.686786911818640.108465639215985
0.891.72406119403860.129622769822149
0.91.767942788282920.148354610712481
0.911.81728420723160.160717027402236
0.921.869884534965290.163224954794897
0.931.922778135555450.154201579813605
0.941.972842828569070.134721323486392
0.952.017576471352020.108539520705367
0.962.055783915009260.0809031552327504
0.972.087817030595650.0570401405992452
0.982.114835004027340.0415691166362164
0.992.136692793714540.037256025469318

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.09367802203171 & 0.0387463850782346 \tabularnewline
0.02 & 1.12089484050978 & 0.0651890019482539 \tabularnewline
0.03 & 1.15476337498207 & 0.0701363943070779 \tabularnewline
0.04 & 1.18728538442153 & 0.0594063517138617 \tabularnewline
0.05 & 1.21394050331121 & 0.0453037046865661 \tabularnewline
0.06 & 1.23406214049527 & 0.0349776383196239 \tabularnewline
0.07 & 1.2490268468642 & 0.0291821989625297 \tabularnewline
0.08 & 1.26055006559128 & 0.025928537522801 \tabularnewline
0.09 & 1.26992189090137 & 0.0237514735604441 \tabularnewline
0.1 & 1.2779473904776 & 0.0223074718663606 \tabularnewline
0.11 & 1.28512878366909 & 0.0217410415954502 \tabularnewline
0.12 & 1.29181730661798 & 0.022100134809245 \tabularnewline
0.13 & 1.2982723827174 & 0.0231262977905142 \tabularnewline
0.14 & 1.30466393668507 & 0.0243704425294123 \tabularnewline
0.15 & 1.31106515536719 & 0.0253912101757644 \tabularnewline
0.16 & 1.31746108461999 & 0.0258918075104978 \tabularnewline
0.17 & 1.3237758586229 & 0.0257580395685411 \tabularnewline
0.18 & 1.3299089969221 & 0.0250473055491064 \tabularnewline
0.19 & 1.33576875140271 & 0.0239345078557176 \tabularnewline
0.2 & 1.34129406057302 & 0.022642232930444 \tabularnewline
0.21 & 1.34646232914131 & 0.0213717048327313 \tabularnewline
0.22 & 1.35128519200847 & 0.0202599451749561 \tabularnewline
0.23 & 1.35579722768281 & 0.0193635105616245 \tabularnewline
0.24 & 1.36004305344291 & 0.0186651477633297 \tabularnewline
0.25 & 1.36406696727665 & 0.0181122079834871 \tabularnewline
0.26 & 1.36790723335831 & 0.0176509299411887 \tabularnewline
0.27 & 1.37159509916546 & 0.0172469946310106 \tabularnewline
0.28 & 1.37515723454318 & 0.0169045064855164 \tabularnewline
0.29 & 1.37861968192109 & 0.0166510148415109 \tabularnewline
0.3 & 1.3820114993982 & 0.0165382548050876 \tabularnewline
0.31 & 1.38536680912479 & 0.0166177318657733 \tabularnewline
0.32 & 1.38872465588786 & 0.0169312629273085 \tabularnewline
0.33 & 1.39212672380514 & 0.0174898847672407 \tabularnewline
0.34 & 1.39561343715232 & 0.0182759437637753 \tabularnewline
0.35 & 1.39921925195991 & 0.0192372116989456 \tabularnewline
0.36 & 1.40296804423518 & 0.0202914000849629 \tabularnewline
0.37 & 1.40686945038881 & 0.0213432520675046 \tabularnewline
0.38 & 1.41091684492715 & 0.0222881317921185 \tabularnewline
0.39 & 1.41508737476045 & 0.0230312354477835 \tabularnewline
0.4 & 1.41934413822497 & 0.0234973147928955 \tabularnewline
0.41 & 1.4236402433661 & 0.023643258178359 \tabularnewline
0.42 & 1.42792416191053 & 0.0234621225092261 \tabularnewline
0.43 & 1.43214557490192 & 0.0229770611626995 \tabularnewline
0.44 & 1.43626083250021 & 0.0222483719911198 \tabularnewline
0.45 & 1.4402372430141 & 0.021354454570023 \tabularnewline
0.46 & 1.44405564437313 & 0.0203875038733919 \tabularnewline
0.47 & 1.44771103839768 & 0.0194378638891155 \tabularnewline
0.48 & 1.45121140749778 & 0.0185801324042874 \tabularnewline
0.49 & 1.45457511008754 & 0.0178653383506949 \tabularnewline
0.5 & 1.45782741362039 & 0.0173254998723454 \tabularnewline
0.51 & 1.46099675700274 & 0.0169627399031959 \tabularnewline
0.52 & 1.46411125698713 & 0.0167595787659216 \tabularnewline
0.53 & 1.46719582954626 & 0.0166830312216084 \tabularnewline
0.54 & 1.47027013674224 & 0.016695788775541 \tabularnewline
0.55 & 1.47334743095911 & 0.0167539904964363 \tabularnewline
0.56 & 1.47643426964308 & 0.0168202648174065 \tabularnewline
0.57 & 1.47953101213987 & 0.0168563566265668 \tabularnewline
0.58 & 1.48263297021021 & 0.0168365488166884 \tabularnewline
0.59 & 1.48573204849374 & 0.0167452137166808 \tabularnewline
0.6 & 1.48881867245142 & 0.0165786949378197 \tabularnewline
0.61 & 1.49188376407848 & 0.0163478833577364 \tabularnewline
0.62 & 1.49492050555776 & 0.0160698414724427 \tabularnewline
0.63 & 1.49792564697014 & 0.0157735912195003 \tabularnewline
0.64 & 1.50090017964433 & 0.0154867003694214 \tabularnewline
0.65 & 1.5038493127182 & 0.0152373945352387 \tabularnewline
0.66 & 1.50678184264007 & 0.0150434456836349 \tabularnewline
0.67 & 1.50970916530761 & 0.0149164996606435 \tabularnewline
0.68 & 1.51264431073099 & 0.0148572176992992 \tabularnewline
0.69 & 1.51560144065094 & 0.0148579331086566 \tabularnewline
0.7 & 1.5185962069696 & 0.0149168587348758 \tabularnewline
0.71 & 1.52164720644368 & 0.0150376328375453 \tabularnewline
0.72 & 1.52477849657052 & 0.0152412707949479 \tabularnewline
0.73 & 1.52802281001894 & 0.0155700128945518 \tabularnewline
0.74 & 1.53142481605028 & 0.0160878358012673 \tabularnewline
0.75 & 1.53504366080442 & 0.0168707925876057 \tabularnewline
0.76 & 1.53895422076394 & 0.017991819291162 \tabularnewline
0.77 & 1.54324713934946 & 0.0195067679985995 \tabularnewline
0.78 & 1.54802880419602 & 0.0214439979515299 \tabularnewline
0.79 & 1.5534238128846 & 0.0238109265044488 \tabularnewline
0.8 & 1.55958377851486 & 0.0266317313969628 \tabularnewline
0.81 & 1.56670685996815 & 0.0300015384718468 \tabularnewline
0.82 & 1.57507118962572 & 0.034163043320511 \tabularnewline
0.83 & 1.58508129648383 & 0.0395750811683328 \tabularnewline
0.84 & 1.59731887822128 & 0.0469410142063134 \tabularnewline
0.85 & 1.61257826886077 & 0.0571056045685422 \tabularnewline
0.86 & 1.63185557912684 & 0.0707863932696868 \tabularnewline
0.87 & 1.6562551545012 & 0.0881682816251796 \tabularnewline
0.88 & 1.68678691181864 & 0.108465639215985 \tabularnewline
0.89 & 1.7240611940386 & 0.129622769822149 \tabularnewline
0.9 & 1.76794278828292 & 0.148354610712481 \tabularnewline
0.91 & 1.8172842072316 & 0.160717027402236 \tabularnewline
0.92 & 1.86988453496529 & 0.163224954794897 \tabularnewline
0.93 & 1.92277813555545 & 0.154201579813605 \tabularnewline
0.94 & 1.97284282856907 & 0.134721323486392 \tabularnewline
0.95 & 2.01757647135202 & 0.108539520705367 \tabularnewline
0.96 & 2.05578391500926 & 0.0809031552327504 \tabularnewline
0.97 & 2.08781703059565 & 0.0570401405992452 \tabularnewline
0.98 & 2.11483500402734 & 0.0415691166362164 \tabularnewline
0.99 & 2.13669279371454 & 0.037256025469318 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172958&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]1.09367802203171[/C][C]0.0387463850782346[/C][/ROW]
[ROW][C]0.02[/C][C]1.12089484050978[/C][C]0.0651890019482539[/C][/ROW]
[ROW][C]0.03[/C][C]1.15476337498207[/C][C]0.0701363943070779[/C][/ROW]
[ROW][C]0.04[/C][C]1.18728538442153[/C][C]0.0594063517138617[/C][/ROW]
[ROW][C]0.05[/C][C]1.21394050331121[/C][C]0.0453037046865661[/C][/ROW]
[ROW][C]0.06[/C][C]1.23406214049527[/C][C]0.0349776383196239[/C][/ROW]
[ROW][C]0.07[/C][C]1.2490268468642[/C][C]0.0291821989625297[/C][/ROW]
[ROW][C]0.08[/C][C]1.26055006559128[/C][C]0.025928537522801[/C][/ROW]
[ROW][C]0.09[/C][C]1.26992189090137[/C][C]0.0237514735604441[/C][/ROW]
[ROW][C]0.1[/C][C]1.2779473904776[/C][C]0.0223074718663606[/C][/ROW]
[ROW][C]0.11[/C][C]1.28512878366909[/C][C]0.0217410415954502[/C][/ROW]
[ROW][C]0.12[/C][C]1.29181730661798[/C][C]0.022100134809245[/C][/ROW]
[ROW][C]0.13[/C][C]1.2982723827174[/C][C]0.0231262977905142[/C][/ROW]
[ROW][C]0.14[/C][C]1.30466393668507[/C][C]0.0243704425294123[/C][/ROW]
[ROW][C]0.15[/C][C]1.31106515536719[/C][C]0.0253912101757644[/C][/ROW]
[ROW][C]0.16[/C][C]1.31746108461999[/C][C]0.0258918075104978[/C][/ROW]
[ROW][C]0.17[/C][C]1.3237758586229[/C][C]0.0257580395685411[/C][/ROW]
[ROW][C]0.18[/C][C]1.3299089969221[/C][C]0.0250473055491064[/C][/ROW]
[ROW][C]0.19[/C][C]1.33576875140271[/C][C]0.0239345078557176[/C][/ROW]
[ROW][C]0.2[/C][C]1.34129406057302[/C][C]0.022642232930444[/C][/ROW]
[ROW][C]0.21[/C][C]1.34646232914131[/C][C]0.0213717048327313[/C][/ROW]
[ROW][C]0.22[/C][C]1.35128519200847[/C][C]0.0202599451749561[/C][/ROW]
[ROW][C]0.23[/C][C]1.35579722768281[/C][C]0.0193635105616245[/C][/ROW]
[ROW][C]0.24[/C][C]1.36004305344291[/C][C]0.0186651477633297[/C][/ROW]
[ROW][C]0.25[/C][C]1.36406696727665[/C][C]0.0181122079834871[/C][/ROW]
[ROW][C]0.26[/C][C]1.36790723335831[/C][C]0.0176509299411887[/C][/ROW]
[ROW][C]0.27[/C][C]1.37159509916546[/C][C]0.0172469946310106[/C][/ROW]
[ROW][C]0.28[/C][C]1.37515723454318[/C][C]0.0169045064855164[/C][/ROW]
[ROW][C]0.29[/C][C]1.37861968192109[/C][C]0.0166510148415109[/C][/ROW]
[ROW][C]0.3[/C][C]1.3820114993982[/C][C]0.0165382548050876[/C][/ROW]
[ROW][C]0.31[/C][C]1.38536680912479[/C][C]0.0166177318657733[/C][/ROW]
[ROW][C]0.32[/C][C]1.38872465588786[/C][C]0.0169312629273085[/C][/ROW]
[ROW][C]0.33[/C][C]1.39212672380514[/C][C]0.0174898847672407[/C][/ROW]
[ROW][C]0.34[/C][C]1.39561343715232[/C][C]0.0182759437637753[/C][/ROW]
[ROW][C]0.35[/C][C]1.39921925195991[/C][C]0.0192372116989456[/C][/ROW]
[ROW][C]0.36[/C][C]1.40296804423518[/C][C]0.0202914000849629[/C][/ROW]
[ROW][C]0.37[/C][C]1.40686945038881[/C][C]0.0213432520675046[/C][/ROW]
[ROW][C]0.38[/C][C]1.41091684492715[/C][C]0.0222881317921185[/C][/ROW]
[ROW][C]0.39[/C][C]1.41508737476045[/C][C]0.0230312354477835[/C][/ROW]
[ROW][C]0.4[/C][C]1.41934413822497[/C][C]0.0234973147928955[/C][/ROW]
[ROW][C]0.41[/C][C]1.4236402433661[/C][C]0.023643258178359[/C][/ROW]
[ROW][C]0.42[/C][C]1.42792416191053[/C][C]0.0234621225092261[/C][/ROW]
[ROW][C]0.43[/C][C]1.43214557490192[/C][C]0.0229770611626995[/C][/ROW]
[ROW][C]0.44[/C][C]1.43626083250021[/C][C]0.0222483719911198[/C][/ROW]
[ROW][C]0.45[/C][C]1.4402372430141[/C][C]0.021354454570023[/C][/ROW]
[ROW][C]0.46[/C][C]1.44405564437313[/C][C]0.0203875038733919[/C][/ROW]
[ROW][C]0.47[/C][C]1.44771103839768[/C][C]0.0194378638891155[/C][/ROW]
[ROW][C]0.48[/C][C]1.45121140749778[/C][C]0.0185801324042874[/C][/ROW]
[ROW][C]0.49[/C][C]1.45457511008754[/C][C]0.0178653383506949[/C][/ROW]
[ROW][C]0.5[/C][C]1.45782741362039[/C][C]0.0173254998723454[/C][/ROW]
[ROW][C]0.51[/C][C]1.46099675700274[/C][C]0.0169627399031959[/C][/ROW]
[ROW][C]0.52[/C][C]1.46411125698713[/C][C]0.0167595787659216[/C][/ROW]
[ROW][C]0.53[/C][C]1.46719582954626[/C][C]0.0166830312216084[/C][/ROW]
[ROW][C]0.54[/C][C]1.47027013674224[/C][C]0.016695788775541[/C][/ROW]
[ROW][C]0.55[/C][C]1.47334743095911[/C][C]0.0167539904964363[/C][/ROW]
[ROW][C]0.56[/C][C]1.47643426964308[/C][C]0.0168202648174065[/C][/ROW]
[ROW][C]0.57[/C][C]1.47953101213987[/C][C]0.0168563566265668[/C][/ROW]
[ROW][C]0.58[/C][C]1.48263297021021[/C][C]0.0168365488166884[/C][/ROW]
[ROW][C]0.59[/C][C]1.48573204849374[/C][C]0.0167452137166808[/C][/ROW]
[ROW][C]0.6[/C][C]1.48881867245142[/C][C]0.0165786949378197[/C][/ROW]
[ROW][C]0.61[/C][C]1.49188376407848[/C][C]0.0163478833577364[/C][/ROW]
[ROW][C]0.62[/C][C]1.49492050555776[/C][C]0.0160698414724427[/C][/ROW]
[ROW][C]0.63[/C][C]1.49792564697014[/C][C]0.0157735912195003[/C][/ROW]
[ROW][C]0.64[/C][C]1.50090017964433[/C][C]0.0154867003694214[/C][/ROW]
[ROW][C]0.65[/C][C]1.5038493127182[/C][C]0.0152373945352387[/C][/ROW]
[ROW][C]0.66[/C][C]1.50678184264007[/C][C]0.0150434456836349[/C][/ROW]
[ROW][C]0.67[/C][C]1.50970916530761[/C][C]0.0149164996606435[/C][/ROW]
[ROW][C]0.68[/C][C]1.51264431073099[/C][C]0.0148572176992992[/C][/ROW]
[ROW][C]0.69[/C][C]1.51560144065094[/C][C]0.0148579331086566[/C][/ROW]
[ROW][C]0.7[/C][C]1.5185962069696[/C][C]0.0149168587348758[/C][/ROW]
[ROW][C]0.71[/C][C]1.52164720644368[/C][C]0.0150376328375453[/C][/ROW]
[ROW][C]0.72[/C][C]1.52477849657052[/C][C]0.0152412707949479[/C][/ROW]
[ROW][C]0.73[/C][C]1.52802281001894[/C][C]0.0155700128945518[/C][/ROW]
[ROW][C]0.74[/C][C]1.53142481605028[/C][C]0.0160878358012673[/C][/ROW]
[ROW][C]0.75[/C][C]1.53504366080442[/C][C]0.0168707925876057[/C][/ROW]
[ROW][C]0.76[/C][C]1.53895422076394[/C][C]0.017991819291162[/C][/ROW]
[ROW][C]0.77[/C][C]1.54324713934946[/C][C]0.0195067679985995[/C][/ROW]
[ROW][C]0.78[/C][C]1.54802880419602[/C][C]0.0214439979515299[/C][/ROW]
[ROW][C]0.79[/C][C]1.5534238128846[/C][C]0.0238109265044488[/C][/ROW]
[ROW][C]0.8[/C][C]1.55958377851486[/C][C]0.0266317313969628[/C][/ROW]
[ROW][C]0.81[/C][C]1.56670685996815[/C][C]0.0300015384718468[/C][/ROW]
[ROW][C]0.82[/C][C]1.57507118962572[/C][C]0.034163043320511[/C][/ROW]
[ROW][C]0.83[/C][C]1.58508129648383[/C][C]0.0395750811683328[/C][/ROW]
[ROW][C]0.84[/C][C]1.59731887822128[/C][C]0.0469410142063134[/C][/ROW]
[ROW][C]0.85[/C][C]1.61257826886077[/C][C]0.0571056045685422[/C][/ROW]
[ROW][C]0.86[/C][C]1.63185557912684[/C][C]0.0707863932696868[/C][/ROW]
[ROW][C]0.87[/C][C]1.6562551545012[/C][C]0.0881682816251796[/C][/ROW]
[ROW][C]0.88[/C][C]1.68678691181864[/C][C]0.108465639215985[/C][/ROW]
[ROW][C]0.89[/C][C]1.7240611940386[/C][C]0.129622769822149[/C][/ROW]
[ROW][C]0.9[/C][C]1.76794278828292[/C][C]0.148354610712481[/C][/ROW]
[ROW][C]0.91[/C][C]1.8172842072316[/C][C]0.160717027402236[/C][/ROW]
[ROW][C]0.92[/C][C]1.86988453496529[/C][C]0.163224954794897[/C][/ROW]
[ROW][C]0.93[/C][C]1.92277813555545[/C][C]0.154201579813605[/C][/ROW]
[ROW][C]0.94[/C][C]1.97284282856907[/C][C]0.134721323486392[/C][/ROW]
[ROW][C]0.95[/C][C]2.01757647135202[/C][C]0.108539520705367[/C][/ROW]
[ROW][C]0.96[/C][C]2.05578391500926[/C][C]0.0809031552327504[/C][/ROW]
[ROW][C]0.97[/C][C]2.08781703059565[/C][C]0.0570401405992452[/C][/ROW]
[ROW][C]0.98[/C][C]2.11483500402734[/C][C]0.0415691166362164[/C][/ROW]
[ROW][C]0.99[/C][C]2.13669279371454[/C][C]0.037256025469318[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172958&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172958&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
0.011.093678022031710.0387463850782346
0.021.120894840509780.0651890019482539
0.031.154763374982070.0701363943070779
0.041.187285384421530.0594063517138617
0.051.213940503311210.0453037046865661
0.061.234062140495270.0349776383196239
0.071.24902684686420.0291821989625297
0.081.260550065591280.025928537522801
0.091.269921890901370.0237514735604441
0.11.27794739047760.0223074718663606
0.111.285128783669090.0217410415954502
0.121.291817306617980.022100134809245
0.131.29827238271740.0231262977905142
0.141.304663936685070.0243704425294123
0.151.311065155367190.0253912101757644
0.161.317461084619990.0258918075104978
0.171.32377585862290.0257580395685411
0.181.32990899692210.0250473055491064
0.191.335768751402710.0239345078557176
0.21.341294060573020.022642232930444
0.211.346462329141310.0213717048327313
0.221.351285192008470.0202599451749561
0.231.355797227682810.0193635105616245
0.241.360043053442910.0186651477633297
0.251.364066967276650.0181122079834871
0.261.367907233358310.0176509299411887
0.271.371595099165460.0172469946310106
0.281.375157234543180.0169045064855164
0.291.378619681921090.0166510148415109
0.31.38201149939820.0165382548050876
0.311.385366809124790.0166177318657733
0.321.388724655887860.0169312629273085
0.331.392126723805140.0174898847672407
0.341.395613437152320.0182759437637753
0.351.399219251959910.0192372116989456
0.361.402968044235180.0202914000849629
0.371.406869450388810.0213432520675046
0.381.410916844927150.0222881317921185
0.391.415087374760450.0230312354477835
0.41.419344138224970.0234973147928955
0.411.42364024336610.023643258178359
0.421.427924161910530.0234621225092261
0.431.432145574901920.0229770611626995
0.441.436260832500210.0222483719911198
0.451.44023724301410.021354454570023
0.461.444055644373130.0203875038733919
0.471.447711038397680.0194378638891155
0.481.451211407497780.0185801324042874
0.491.454575110087540.0178653383506949
0.51.457827413620390.0173254998723454
0.511.460996757002740.0169627399031959
0.521.464111256987130.0167595787659216
0.531.467195829546260.0166830312216084
0.541.470270136742240.016695788775541
0.551.473347430959110.0167539904964363
0.561.476434269643080.0168202648174065
0.571.479531012139870.0168563566265668
0.581.482632970210210.0168365488166884
0.591.485732048493740.0167452137166808
0.61.488818672451420.0165786949378197
0.611.491883764078480.0163478833577364
0.621.494920505557760.0160698414724427
0.631.497925646970140.0157735912195003
0.641.500900179644330.0154867003694214
0.651.50384931271820.0152373945352387
0.661.506781842640070.0150434456836349
0.671.509709165307610.0149164996606435
0.681.512644310730990.0148572176992992
0.691.515601440650940.0148579331086566
0.71.51859620696960.0149168587348758
0.711.521647206443680.0150376328375453
0.721.524778496570520.0152412707949479
0.731.528022810018940.0155700128945518
0.741.531424816050280.0160878358012673
0.751.535043660804420.0168707925876057
0.761.538954220763940.017991819291162
0.771.543247139349460.0195067679985995
0.781.548028804196020.0214439979515299
0.791.55342381288460.0238109265044488
0.81.559583778514860.0266317313969628
0.811.566706859968150.0300015384718468
0.821.575071189625720.034163043320511
0.831.585081296483830.0395750811683328
0.841.597318878221280.0469410142063134
0.851.612578268860770.0571056045685422
0.861.631855579126840.0707863932696868
0.871.65625515450120.0881682816251796
0.881.686786911818640.108465639215985
0.891.72406119403860.129622769822149
0.91.767942788282920.148354610712481
0.911.81728420723160.160717027402236
0.921.869884534965290.163224954794897
0.931.922778135555450.154201579813605
0.941.972842828569070.134721323486392
0.952.017576471352020.108539520705367
0.962.055783915009260.0809031552327504
0.972.087817030595650.0570401405992452
0.982.114835004027340.0415691166362164
0.992.136692793714540.037256025469318



Parameters (Session):
par1 = grey ;
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')