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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 04 Aug 2009 17:04:18 -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/Aug/05/t1249427144pnnrrzc2msyei2g.htm/, Retrieved Sun, 28 Apr 2024 19:03:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42489, Retrieved Sun, 28 Apr 2024 19:03:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [datareeks-diesel-...] [2009-08-04 23:04:18] [dd4d1946c4ef9dfd99dff91c071853fb] [Current]
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Dataseries X:
0,9
0,92
0,92
0,95
1,06
1,17
1,23
1,26
1,37
1,37
1,31
1,21
1,2
1,11
1,11
1,11
1,17
1,08
1,05
1,03
1,04
1,02
1,01
1,01
0,98
0,96
0,94
0,99
0,99
0,98
1,02
1,06
1,06
1,06
1,06
1,06
1,04
1,02
1,01
1
1,04
1,09
1,08
1,06
1,06
1,03
0,97
0,98
0,93
0,88
0,86
0,9
0,91
0,93
0,89
0,88
0,83
0,81
0,83
0,8
0,76
0,73
0,74
0,74
0,75
0,74
0,74
0,73
0,71
0,71
0,7
0,75
0,81
0,78
0,75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42489&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42489&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'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7032007863110430.008589279840071
0.020.7081485310467430.00865342009553585
0.030.7136193455958150.0102253570825983
0.040.7190724756435150.0113114239307788
0.050.724227697075820.0111103033531720
0.060.7288546224437160.0100298094851924
0.070.7328392507307140.0088093956901475
0.080.7362403590092460.00804278120697872
0.090.7392550539195070.0080861311761666
0.10.742146543888160.00906833161779863
0.110.7451832851384390.0109334820614638
0.120.7486020522391220.0135371943560012
0.130.7525888184089850.0166990056316372
0.140.7572696486566190.0202079483105023
0.150.7627076595722160.0238308804569852
0.160.7689052714837260.0273363980149411
0.170.775811969709620.0305291302165353
0.180.783337005894660.0332781207617833
0.190.7913649583250430.035525012690405
0.20.799770994269080.0372757927070538
0.210.8084327981606280.03856648019899
0.220.8172374590635650.0394391970607397
0.230.8260834969828230.0399179568747048
0.240.8348797733597120.0400062061898098
0.250.843543659992330.0396996211437647
0.260.8520004309438640.0390040244821445
0.270.8601847531290930.037952570057566
0.280.8680439467072140.0366114315468978
0.290.8755418491009950.0350768585679546
0.30.8826618730073230.0334693706293850
0.310.8894081480824780.0319046440896552
0.320.8958042459372750.0304918496810204
0.330.9018896345293320.0293090020125932
0.340.9077144871083470.0284024609087922
0.350.9133336983078480.0277818505185125
0.360.9188009587995540.0274235094184893
0.370.92416359183570.0272766869287691
0.380.9294586472796460.0272733262681552
0.390.934710539664870.0273369362971695
0.40.939930327679310.0273901613785393
0.410.9451165602028630.0273657834322658
0.420.9502574519772680.0272142793946703
0.430.9553340057919220.0269078940390247
0.440.9603235894349140.0264395654082683
0.450.9652034339479150.0258238396299235
0.460.969953566948590.025091316576114
0.470.9745588320045220.0242806784934593
0.480.979009846799460.0234319255463128
0.490.9833029723205170.0225786774474990
0.50.9874395483138270.0217456147563115
0.510.9914247524948480.0209500560470604
0.520.9952664420777120.0201966445031941
0.530.9989742453853030.0194906700343179
0.541.002559023227720.0188334534998743
0.551.006032661985170.0182295808532176
0.561.009408037942230.0176879342305186
0.571.012698934772410.0172152665328139
0.581.015919710478930.0168178850964085
0.591.019084583531780.0164996279113108
0.61.022206515122980.0162503341551744
0.611.02529577830590.0160556600193681
0.621.028358404675000.0158870610183439
0.631.031394774028100.0157124670599894
0.641.03439865772410.0154924903836657
0.651.037357038491850.0151888599144240
0.661.040251000002740.0147691025689356
0.671.043057895228590.0142146128381910
0.681.045754850825230.013523223433903
0.691.048323444163960.0127188637484860
0.71.050755120969940.0118522837167876
0.711.053056653210610.0110053279694658
0.721.055254740708120.0102883607989966
0.731.057398816118490.00983209987866674
0.741.059561286666560.00977191566928076
0.751.061834860973690.0102138051153984
0.761.064327223562760.0111998960011823
0.771.067154011013630.012706727635532
0.781.070431612176390.0146619214880746
0.791.074271512455610.0169765443397745
0.81.078777503571700.0195669365292669
0.811.084045997544400.0223733441585333
0.821.090168105628290.0253642038782649
0.831.097230633003100.0285267287868125
0.841.105312587324010.0318325571966769
0.851.114475122001020.0351885576971226
0.861.124746437659840.0384092825097138
0.871.136108344300560.0412226598330512
0.881.148495865797890.0433423792043524
0.891.161822428458150.0445916883882173
0.91.176037997994780.0450389026897687
0.911.191214659551730.0450907538952815
0.921.207634007195620.0454726466014121
0.931.225824418978090.0469999632901609
0.941.246465565883250.0500959003728048
0.951.270054750201620.0541314084696211
0.961.296268860839560.0568309991479112
0.971.323179323528680.0540969234953488
0.981.346970467641620.0415309745422134
0.991.363220683999530.0196493512275536

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.703200786311043 & 0.008589279840071 \tabularnewline
0.02 & 0.708148531046743 & 0.00865342009553585 \tabularnewline
0.03 & 0.713619345595815 & 0.0102253570825983 \tabularnewline
0.04 & 0.719072475643515 & 0.0113114239307788 \tabularnewline
0.05 & 0.72422769707582 & 0.0111103033531720 \tabularnewline
0.06 & 0.728854622443716 & 0.0100298094851924 \tabularnewline
0.07 & 0.732839250730714 & 0.0088093956901475 \tabularnewline
0.08 & 0.736240359009246 & 0.00804278120697872 \tabularnewline
0.09 & 0.739255053919507 & 0.0080861311761666 \tabularnewline
0.1 & 0.74214654388816 & 0.00906833161779863 \tabularnewline
0.11 & 0.745183285138439 & 0.0109334820614638 \tabularnewline
0.12 & 0.748602052239122 & 0.0135371943560012 \tabularnewline
0.13 & 0.752588818408985 & 0.0166990056316372 \tabularnewline
0.14 & 0.757269648656619 & 0.0202079483105023 \tabularnewline
0.15 & 0.762707659572216 & 0.0238308804569852 \tabularnewline
0.16 & 0.768905271483726 & 0.0273363980149411 \tabularnewline
0.17 & 0.77581196970962 & 0.0305291302165353 \tabularnewline
0.18 & 0.78333700589466 & 0.0332781207617833 \tabularnewline
0.19 & 0.791364958325043 & 0.035525012690405 \tabularnewline
0.2 & 0.79977099426908 & 0.0372757927070538 \tabularnewline
0.21 & 0.808432798160628 & 0.03856648019899 \tabularnewline
0.22 & 0.817237459063565 & 0.0394391970607397 \tabularnewline
0.23 & 0.826083496982823 & 0.0399179568747048 \tabularnewline
0.24 & 0.834879773359712 & 0.0400062061898098 \tabularnewline
0.25 & 0.84354365999233 & 0.0396996211437647 \tabularnewline
0.26 & 0.852000430943864 & 0.0390040244821445 \tabularnewline
0.27 & 0.860184753129093 & 0.037952570057566 \tabularnewline
0.28 & 0.868043946707214 & 0.0366114315468978 \tabularnewline
0.29 & 0.875541849100995 & 0.0350768585679546 \tabularnewline
0.3 & 0.882661873007323 & 0.0334693706293850 \tabularnewline
0.31 & 0.889408148082478 & 0.0319046440896552 \tabularnewline
0.32 & 0.895804245937275 & 0.0304918496810204 \tabularnewline
0.33 & 0.901889634529332 & 0.0293090020125932 \tabularnewline
0.34 & 0.907714487108347 & 0.0284024609087922 \tabularnewline
0.35 & 0.913333698307848 & 0.0277818505185125 \tabularnewline
0.36 & 0.918800958799554 & 0.0274235094184893 \tabularnewline
0.37 & 0.9241635918357 & 0.0272766869287691 \tabularnewline
0.38 & 0.929458647279646 & 0.0272733262681552 \tabularnewline
0.39 & 0.93471053966487 & 0.0273369362971695 \tabularnewline
0.4 & 0.93993032767931 & 0.0273901613785393 \tabularnewline
0.41 & 0.945116560202863 & 0.0273657834322658 \tabularnewline
0.42 & 0.950257451977268 & 0.0272142793946703 \tabularnewline
0.43 & 0.955334005791922 & 0.0269078940390247 \tabularnewline
0.44 & 0.960323589434914 & 0.0264395654082683 \tabularnewline
0.45 & 0.965203433947915 & 0.0258238396299235 \tabularnewline
0.46 & 0.96995356694859 & 0.025091316576114 \tabularnewline
0.47 & 0.974558832004522 & 0.0242806784934593 \tabularnewline
0.48 & 0.97900984679946 & 0.0234319255463128 \tabularnewline
0.49 & 0.983302972320517 & 0.0225786774474990 \tabularnewline
0.5 & 0.987439548313827 & 0.0217456147563115 \tabularnewline
0.51 & 0.991424752494848 & 0.0209500560470604 \tabularnewline
0.52 & 0.995266442077712 & 0.0201966445031941 \tabularnewline
0.53 & 0.998974245385303 & 0.0194906700343179 \tabularnewline
0.54 & 1.00255902322772 & 0.0188334534998743 \tabularnewline
0.55 & 1.00603266198517 & 0.0182295808532176 \tabularnewline
0.56 & 1.00940803794223 & 0.0176879342305186 \tabularnewline
0.57 & 1.01269893477241 & 0.0172152665328139 \tabularnewline
0.58 & 1.01591971047893 & 0.0168178850964085 \tabularnewline
0.59 & 1.01908458353178 & 0.0164996279113108 \tabularnewline
0.6 & 1.02220651512298 & 0.0162503341551744 \tabularnewline
0.61 & 1.0252957783059 & 0.0160556600193681 \tabularnewline
0.62 & 1.02835840467500 & 0.0158870610183439 \tabularnewline
0.63 & 1.03139477402810 & 0.0157124670599894 \tabularnewline
0.64 & 1.0343986577241 & 0.0154924903836657 \tabularnewline
0.65 & 1.03735703849185 & 0.0151888599144240 \tabularnewline
0.66 & 1.04025100000274 & 0.0147691025689356 \tabularnewline
0.67 & 1.04305789522859 & 0.0142146128381910 \tabularnewline
0.68 & 1.04575485082523 & 0.013523223433903 \tabularnewline
0.69 & 1.04832344416396 & 0.0127188637484860 \tabularnewline
0.7 & 1.05075512096994 & 0.0118522837167876 \tabularnewline
0.71 & 1.05305665321061 & 0.0110053279694658 \tabularnewline
0.72 & 1.05525474070812 & 0.0102883607989966 \tabularnewline
0.73 & 1.05739881611849 & 0.00983209987866674 \tabularnewline
0.74 & 1.05956128666656 & 0.00977191566928076 \tabularnewline
0.75 & 1.06183486097369 & 0.0102138051153984 \tabularnewline
0.76 & 1.06432722356276 & 0.0111998960011823 \tabularnewline
0.77 & 1.06715401101363 & 0.012706727635532 \tabularnewline
0.78 & 1.07043161217639 & 0.0146619214880746 \tabularnewline
0.79 & 1.07427151245561 & 0.0169765443397745 \tabularnewline
0.8 & 1.07877750357170 & 0.0195669365292669 \tabularnewline
0.81 & 1.08404599754440 & 0.0223733441585333 \tabularnewline
0.82 & 1.09016810562829 & 0.0253642038782649 \tabularnewline
0.83 & 1.09723063300310 & 0.0285267287868125 \tabularnewline
0.84 & 1.10531258732401 & 0.0318325571966769 \tabularnewline
0.85 & 1.11447512200102 & 0.0351885576971226 \tabularnewline
0.86 & 1.12474643765984 & 0.0384092825097138 \tabularnewline
0.87 & 1.13610834430056 & 0.0412226598330512 \tabularnewline
0.88 & 1.14849586579789 & 0.0433423792043524 \tabularnewline
0.89 & 1.16182242845815 & 0.0445916883882173 \tabularnewline
0.9 & 1.17603799799478 & 0.0450389026897687 \tabularnewline
0.91 & 1.19121465955173 & 0.0450907538952815 \tabularnewline
0.92 & 1.20763400719562 & 0.0454726466014121 \tabularnewline
0.93 & 1.22582441897809 & 0.0469999632901609 \tabularnewline
0.94 & 1.24646556588325 & 0.0500959003728048 \tabularnewline
0.95 & 1.27005475020162 & 0.0541314084696211 \tabularnewline
0.96 & 1.29626886083956 & 0.0568309991479112 \tabularnewline
0.97 & 1.32317932352868 & 0.0540969234953488 \tabularnewline
0.98 & 1.34697046764162 & 0.0415309745422134 \tabularnewline
0.99 & 1.36322068399953 & 0.0196493512275536 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42489&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]0.703200786311043[/C][C]0.008589279840071[/C][/ROW]
[ROW][C]0.02[/C][C]0.708148531046743[/C][C]0.00865342009553585[/C][/ROW]
[ROW][C]0.03[/C][C]0.713619345595815[/C][C]0.0102253570825983[/C][/ROW]
[ROW][C]0.04[/C][C]0.719072475643515[/C][C]0.0113114239307788[/C][/ROW]
[ROW][C]0.05[/C][C]0.72422769707582[/C][C]0.0111103033531720[/C][/ROW]
[ROW][C]0.06[/C][C]0.728854622443716[/C][C]0.0100298094851924[/C][/ROW]
[ROW][C]0.07[/C][C]0.732839250730714[/C][C]0.0088093956901475[/C][/ROW]
[ROW][C]0.08[/C][C]0.736240359009246[/C][C]0.00804278120697872[/C][/ROW]
[ROW][C]0.09[/C][C]0.739255053919507[/C][C]0.0080861311761666[/C][/ROW]
[ROW][C]0.1[/C][C]0.74214654388816[/C][C]0.00906833161779863[/C][/ROW]
[ROW][C]0.11[/C][C]0.745183285138439[/C][C]0.0109334820614638[/C][/ROW]
[ROW][C]0.12[/C][C]0.748602052239122[/C][C]0.0135371943560012[/C][/ROW]
[ROW][C]0.13[/C][C]0.752588818408985[/C][C]0.0166990056316372[/C][/ROW]
[ROW][C]0.14[/C][C]0.757269648656619[/C][C]0.0202079483105023[/C][/ROW]
[ROW][C]0.15[/C][C]0.762707659572216[/C][C]0.0238308804569852[/C][/ROW]
[ROW][C]0.16[/C][C]0.768905271483726[/C][C]0.0273363980149411[/C][/ROW]
[ROW][C]0.17[/C][C]0.77581196970962[/C][C]0.0305291302165353[/C][/ROW]
[ROW][C]0.18[/C][C]0.78333700589466[/C][C]0.0332781207617833[/C][/ROW]
[ROW][C]0.19[/C][C]0.791364958325043[/C][C]0.035525012690405[/C][/ROW]
[ROW][C]0.2[/C][C]0.79977099426908[/C][C]0.0372757927070538[/C][/ROW]
[ROW][C]0.21[/C][C]0.808432798160628[/C][C]0.03856648019899[/C][/ROW]
[ROW][C]0.22[/C][C]0.817237459063565[/C][C]0.0394391970607397[/C][/ROW]
[ROW][C]0.23[/C][C]0.826083496982823[/C][C]0.0399179568747048[/C][/ROW]
[ROW][C]0.24[/C][C]0.834879773359712[/C][C]0.0400062061898098[/C][/ROW]
[ROW][C]0.25[/C][C]0.84354365999233[/C][C]0.0396996211437647[/C][/ROW]
[ROW][C]0.26[/C][C]0.852000430943864[/C][C]0.0390040244821445[/C][/ROW]
[ROW][C]0.27[/C][C]0.860184753129093[/C][C]0.037952570057566[/C][/ROW]
[ROW][C]0.28[/C][C]0.868043946707214[/C][C]0.0366114315468978[/C][/ROW]
[ROW][C]0.29[/C][C]0.875541849100995[/C][C]0.0350768585679546[/C][/ROW]
[ROW][C]0.3[/C][C]0.882661873007323[/C][C]0.0334693706293850[/C][/ROW]
[ROW][C]0.31[/C][C]0.889408148082478[/C][C]0.0319046440896552[/C][/ROW]
[ROW][C]0.32[/C][C]0.895804245937275[/C][C]0.0304918496810204[/C][/ROW]
[ROW][C]0.33[/C][C]0.901889634529332[/C][C]0.0293090020125932[/C][/ROW]
[ROW][C]0.34[/C][C]0.907714487108347[/C][C]0.0284024609087922[/C][/ROW]
[ROW][C]0.35[/C][C]0.913333698307848[/C][C]0.0277818505185125[/C][/ROW]
[ROW][C]0.36[/C][C]0.918800958799554[/C][C]0.0274235094184893[/C][/ROW]
[ROW][C]0.37[/C][C]0.9241635918357[/C][C]0.0272766869287691[/C][/ROW]
[ROW][C]0.38[/C][C]0.929458647279646[/C][C]0.0272733262681552[/C][/ROW]
[ROW][C]0.39[/C][C]0.93471053966487[/C][C]0.0273369362971695[/C][/ROW]
[ROW][C]0.4[/C][C]0.93993032767931[/C][C]0.0273901613785393[/C][/ROW]
[ROW][C]0.41[/C][C]0.945116560202863[/C][C]0.0273657834322658[/C][/ROW]
[ROW][C]0.42[/C][C]0.950257451977268[/C][C]0.0272142793946703[/C][/ROW]
[ROW][C]0.43[/C][C]0.955334005791922[/C][C]0.0269078940390247[/C][/ROW]
[ROW][C]0.44[/C][C]0.960323589434914[/C][C]0.0264395654082683[/C][/ROW]
[ROW][C]0.45[/C][C]0.965203433947915[/C][C]0.0258238396299235[/C][/ROW]
[ROW][C]0.46[/C][C]0.96995356694859[/C][C]0.025091316576114[/C][/ROW]
[ROW][C]0.47[/C][C]0.974558832004522[/C][C]0.0242806784934593[/C][/ROW]
[ROW][C]0.48[/C][C]0.97900984679946[/C][C]0.0234319255463128[/C][/ROW]
[ROW][C]0.49[/C][C]0.983302972320517[/C][C]0.0225786774474990[/C][/ROW]
[ROW][C]0.5[/C][C]0.987439548313827[/C][C]0.0217456147563115[/C][/ROW]
[ROW][C]0.51[/C][C]0.991424752494848[/C][C]0.0209500560470604[/C][/ROW]
[ROW][C]0.52[/C][C]0.995266442077712[/C][C]0.0201966445031941[/C][/ROW]
[ROW][C]0.53[/C][C]0.998974245385303[/C][C]0.0194906700343179[/C][/ROW]
[ROW][C]0.54[/C][C]1.00255902322772[/C][C]0.0188334534998743[/C][/ROW]
[ROW][C]0.55[/C][C]1.00603266198517[/C][C]0.0182295808532176[/C][/ROW]
[ROW][C]0.56[/C][C]1.00940803794223[/C][C]0.0176879342305186[/C][/ROW]
[ROW][C]0.57[/C][C]1.01269893477241[/C][C]0.0172152665328139[/C][/ROW]
[ROW][C]0.58[/C][C]1.01591971047893[/C][C]0.0168178850964085[/C][/ROW]
[ROW][C]0.59[/C][C]1.01908458353178[/C][C]0.0164996279113108[/C][/ROW]
[ROW][C]0.6[/C][C]1.02220651512298[/C][C]0.0162503341551744[/C][/ROW]
[ROW][C]0.61[/C][C]1.0252957783059[/C][C]0.0160556600193681[/C][/ROW]
[ROW][C]0.62[/C][C]1.02835840467500[/C][C]0.0158870610183439[/C][/ROW]
[ROW][C]0.63[/C][C]1.03139477402810[/C][C]0.0157124670599894[/C][/ROW]
[ROW][C]0.64[/C][C]1.0343986577241[/C][C]0.0154924903836657[/C][/ROW]
[ROW][C]0.65[/C][C]1.03735703849185[/C][C]0.0151888599144240[/C][/ROW]
[ROW][C]0.66[/C][C]1.04025100000274[/C][C]0.0147691025689356[/C][/ROW]
[ROW][C]0.67[/C][C]1.04305789522859[/C][C]0.0142146128381910[/C][/ROW]
[ROW][C]0.68[/C][C]1.04575485082523[/C][C]0.013523223433903[/C][/ROW]
[ROW][C]0.69[/C][C]1.04832344416396[/C][C]0.0127188637484860[/C][/ROW]
[ROW][C]0.7[/C][C]1.05075512096994[/C][C]0.0118522837167876[/C][/ROW]
[ROW][C]0.71[/C][C]1.05305665321061[/C][C]0.0110053279694658[/C][/ROW]
[ROW][C]0.72[/C][C]1.05525474070812[/C][C]0.0102883607989966[/C][/ROW]
[ROW][C]0.73[/C][C]1.05739881611849[/C][C]0.00983209987866674[/C][/ROW]
[ROW][C]0.74[/C][C]1.05956128666656[/C][C]0.00977191566928076[/C][/ROW]
[ROW][C]0.75[/C][C]1.06183486097369[/C][C]0.0102138051153984[/C][/ROW]
[ROW][C]0.76[/C][C]1.06432722356276[/C][C]0.0111998960011823[/C][/ROW]
[ROW][C]0.77[/C][C]1.06715401101363[/C][C]0.012706727635532[/C][/ROW]
[ROW][C]0.78[/C][C]1.07043161217639[/C][C]0.0146619214880746[/C][/ROW]
[ROW][C]0.79[/C][C]1.07427151245561[/C][C]0.0169765443397745[/C][/ROW]
[ROW][C]0.8[/C][C]1.07877750357170[/C][C]0.0195669365292669[/C][/ROW]
[ROW][C]0.81[/C][C]1.08404599754440[/C][C]0.0223733441585333[/C][/ROW]
[ROW][C]0.82[/C][C]1.09016810562829[/C][C]0.0253642038782649[/C][/ROW]
[ROW][C]0.83[/C][C]1.09723063300310[/C][C]0.0285267287868125[/C][/ROW]
[ROW][C]0.84[/C][C]1.10531258732401[/C][C]0.0318325571966769[/C][/ROW]
[ROW][C]0.85[/C][C]1.11447512200102[/C][C]0.0351885576971226[/C][/ROW]
[ROW][C]0.86[/C][C]1.12474643765984[/C][C]0.0384092825097138[/C][/ROW]
[ROW][C]0.87[/C][C]1.13610834430056[/C][C]0.0412226598330512[/C][/ROW]
[ROW][C]0.88[/C][C]1.14849586579789[/C][C]0.0433423792043524[/C][/ROW]
[ROW][C]0.89[/C][C]1.16182242845815[/C][C]0.0445916883882173[/C][/ROW]
[ROW][C]0.9[/C][C]1.17603799799478[/C][C]0.0450389026897687[/C][/ROW]
[ROW][C]0.91[/C][C]1.19121465955173[/C][C]0.0450907538952815[/C][/ROW]
[ROW][C]0.92[/C][C]1.20763400719562[/C][C]0.0454726466014121[/C][/ROW]
[ROW][C]0.93[/C][C]1.22582441897809[/C][C]0.0469999632901609[/C][/ROW]
[ROW][C]0.94[/C][C]1.24646556588325[/C][C]0.0500959003728048[/C][/ROW]
[ROW][C]0.95[/C][C]1.27005475020162[/C][C]0.0541314084696211[/C][/ROW]
[ROW][C]0.96[/C][C]1.29626886083956[/C][C]0.0568309991479112[/C][/ROW]
[ROW][C]0.97[/C][C]1.32317932352868[/C][C]0.0540969234953488[/C][/ROW]
[ROW][C]0.98[/C][C]1.34697046764162[/C][C]0.0415309745422134[/C][/ROW]
[ROW][C]0.99[/C][C]1.36322068399953[/C][C]0.0196493512275536[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42489&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
0.010.7032007863110430.008589279840071
0.020.7081485310467430.00865342009553585
0.030.7136193455958150.0102253570825983
0.040.7190724756435150.0113114239307788
0.050.724227697075820.0111103033531720
0.060.7288546224437160.0100298094851924
0.070.7328392507307140.0088093956901475
0.080.7362403590092460.00804278120697872
0.090.7392550539195070.0080861311761666
0.10.742146543888160.00906833161779863
0.110.7451832851384390.0109334820614638
0.120.7486020522391220.0135371943560012
0.130.7525888184089850.0166990056316372
0.140.7572696486566190.0202079483105023
0.150.7627076595722160.0238308804569852
0.160.7689052714837260.0273363980149411
0.170.775811969709620.0305291302165353
0.180.783337005894660.0332781207617833
0.190.7913649583250430.035525012690405
0.20.799770994269080.0372757927070538
0.210.8084327981606280.03856648019899
0.220.8172374590635650.0394391970607397
0.230.8260834969828230.0399179568747048
0.240.8348797733597120.0400062061898098
0.250.843543659992330.0396996211437647
0.260.8520004309438640.0390040244821445
0.270.8601847531290930.037952570057566
0.280.8680439467072140.0366114315468978
0.290.8755418491009950.0350768585679546
0.30.8826618730073230.0334693706293850
0.310.8894081480824780.0319046440896552
0.320.8958042459372750.0304918496810204
0.330.9018896345293320.0293090020125932
0.340.9077144871083470.0284024609087922
0.350.9133336983078480.0277818505185125
0.360.9188009587995540.0274235094184893
0.370.92416359183570.0272766869287691
0.380.9294586472796460.0272733262681552
0.390.934710539664870.0273369362971695
0.40.939930327679310.0273901613785393
0.410.9451165602028630.0273657834322658
0.420.9502574519772680.0272142793946703
0.430.9553340057919220.0269078940390247
0.440.9603235894349140.0264395654082683
0.450.9652034339479150.0258238396299235
0.460.969953566948590.025091316576114
0.470.9745588320045220.0242806784934593
0.480.979009846799460.0234319255463128
0.490.9833029723205170.0225786774474990
0.50.9874395483138270.0217456147563115
0.510.9914247524948480.0209500560470604
0.520.9952664420777120.0201966445031941
0.530.9989742453853030.0194906700343179
0.541.002559023227720.0188334534998743
0.551.006032661985170.0182295808532176
0.561.009408037942230.0176879342305186
0.571.012698934772410.0172152665328139
0.581.015919710478930.0168178850964085
0.591.019084583531780.0164996279113108
0.61.022206515122980.0162503341551744
0.611.02529577830590.0160556600193681
0.621.028358404675000.0158870610183439
0.631.031394774028100.0157124670599894
0.641.03439865772410.0154924903836657
0.651.037357038491850.0151888599144240
0.661.040251000002740.0147691025689356
0.671.043057895228590.0142146128381910
0.681.045754850825230.013523223433903
0.691.048323444163960.0127188637484860
0.71.050755120969940.0118522837167876
0.711.053056653210610.0110053279694658
0.721.055254740708120.0102883607989966
0.731.057398816118490.00983209987866674
0.741.059561286666560.00977191566928076
0.751.061834860973690.0102138051153984
0.761.064327223562760.0111998960011823
0.771.067154011013630.012706727635532
0.781.070431612176390.0146619214880746
0.791.074271512455610.0169765443397745
0.81.078777503571700.0195669365292669
0.811.084045997544400.0223733441585333
0.821.090168105628290.0253642038782649
0.831.097230633003100.0285267287868125
0.841.105312587324010.0318325571966769
0.851.114475122001020.0351885576971226
0.861.124746437659840.0384092825097138
0.871.136108344300560.0412226598330512
0.881.148495865797890.0433423792043524
0.891.161822428458150.0445916883882173
0.91.176037997994780.0450389026897687
0.911.191214659551730.0450907538952815
0.921.207634007195620.0454726466014121
0.931.225824418978090.0469999632901609
0.941.246465565883250.0500959003728048
0.951.270054750201620.0541314084696211
0.961.296268860839560.0568309991479112
0.971.323179323528680.0540969234953488
0.981.346970467641620.0415309745422134
0.991.363220683999530.0196493512275536



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')