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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Oct 2012 02:57:05 -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/08/t1349679494cu50gmo8panlelj.htm/, Retrieved Thu, 02 May 2024 08:18:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=173170, Retrieved Thu, 02 May 2024 08:18:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-08 06:57:05] [e5e222478367a16d7b7370b98445e498] [Current]
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Dataseries X:
0.9
0.9
0.9
0.9
0.9
0.91
0.91
0.91
0.91
0.91
0.92
0.92
0.92
0.92
0.92
0.93
0.93
0.93
0.93
0.93
0.92
0.93
0.93
0.93
0.94
0.95
0.95
0.96
0.97
0.97
0.97
0.98
0.98
0.98
0.98
0.98
0.98
1
1.01
1.01
1.02
1.02
1.02
1.02
1.03
1.03
1.03
1.03
1.03
1.04
1.05
1.05
1.05
1.05
1.06
1.06
1.06
1.06
1.06
1.06
1.06
1.07
1.08
1.09
1.09
1.09
1.09
1.09
1.09
1.09
1.09
1.09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173170&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173170&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173170&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' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9000273182438270.000114376267945103
0.020.9001492169505210.000504617345283019
0.030.9004689943269130.00126646880539704
0.040.9010857861260760.00231322773314547
0.050.9020449514659170.0033950834484295
0.060.9033126125912820.00423735714492117
0.070.90479045425320.00468919987111733
0.080.9063585726696490.00478334320249354
0.090.9079191649579720.00468662218674544
0.10.9094195734598430.00459188411839808
0.110.9108500432368080.00460980004685017
0.120.91222568836860.00473276534016205
0.130.9135664361836970.00488471040873635
0.140.9148844924035180.00499386543547146
0.150.9161816508032250.0050297667514173
0.160.9174533386207510.00500472948725636
0.170.9186945060604710.00495876309721794
0.180.9199036638314420.00493145030006913
0.190.9210837954710870.00494347964683249
0.20.9222409540177990.00499114387653423
0.210.9233823044278070.00505903394374754
0.220.9245151799143150.00513578293225878
0.230.9256478384342320.00522792197528566
0.240.9267916058885810.00536781806263188
0.250.9279634069075310.00560993954812279
0.260.9291874985139860.00601795906486834
0.270.9304954951383650.00664174424496691
0.280.9319243236985940.00750358892616259
0.290.9335123539669450.00858796262503003
0.30.9352944301986690.00984701694373441
0.310.9372967813830560.0112064353657249
0.320.939532788609870.0125813161440515
0.330.9420003820037480.0138794915317042
0.340.9446815053244220.0150165621576013
0.350.947543711061490.0159237445529191
0.360.9505436080839610.0165543278887689
0.370.9536316291922610.0168920542819903
0.380.9567574413476750.0169480574438004
0.390.9598752865881950.0167635665997761
0.40.9629485993900490.0164015985412683
0.410.9659533714336480.015941144657305
0.420.9688799026683980.0154719961947567
0.430.9717327687201210.0150773292892253
0.440.9745290352330510.0148327063506767
0.450.9772949484174580.0147850724753289
0.460.9800615144815340.0149518340566694
0.470.9828595299071060.0153100617732599
0.480.9857147158331830.0158077143931528
0.490.9886436193389420.0163679899222563
0.50.9916508567129550.0169027280019257
0.510.994728090152620.0173290377035243
0.520.997854872546930.0175774113927964
0.531.001001207625570.0176026668301011
0.541.004131408464130.0173837312507963
0.551.007208647455470.0169324320562366
0.561.01019951063380.0162845714916598
0.571.013077908489510.0154981062906704
0.581.015827837007180.0146407543768559
0.591.018444689235210.0137859709324127
0.61.020935043954690.0130010541558792
0.611.023315063792420.0123413325167441
0.621.025607794406460.0118409044391263
0.631.027839759437860.0115137383936771
0.641.030037295011050.0113476804090436
0.651.032223069461360.0113077989686875
0.661.034413194063580.0113450887700011
0.671.03661525173730.0114006609276532
0.681.038827457410.011416708321894
0.691.041039027639960.0113456566670943
0.71.043231699922070.011151041148137
0.711.045382231103250.0108147837693729
0.721.047465641036970.0103361086487998
0.731.049458954200760.00973483304746449
0.741.051345203490310.00904510903377387
0.751.053117449475260.00831893376931421
0.761.054782485261860.00762198578622744
0.771.056363719350450.00703722805516639
0.781.057902490170750.00666022144408288
0.791.059456869456730.00658684016436083
0.81.061097015703870.00688324971046943
0.811.062896509580170.00755166979584538
0.821.064919936827390.00850914552136845
0.831.067208220184320.00960413011646903
0.841.06976455863890.0106363891676592
0.851.072544815107490.0113920844948393
0.861.075456216047010.0116775341614936
0.871.078366852504440.0113665032822118
0.881.081125713842480.0104351566597738
0.891.08358951066380.0089761389356192
0.91.085649612421360.00718411835243261
0.911.08725145237160.00530680236641707
0.921.088400595011940.00358323040785143
0.931.089153979544880.00218432898626278
0.941.089599997907210.00118306384200137
0.951.089834744218450.000557314642106044
0.961.089942260714470.000220890523528544
0.971.089983801462637.01481453173594e-05
0.981.089996685909131.62791434082745e-05
0.991.089999612802991.99651121366467e-06

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.900027318243827 & 0.000114376267945103 \tabularnewline
0.02 & 0.900149216950521 & 0.000504617345283019 \tabularnewline
0.03 & 0.900468994326913 & 0.00126646880539704 \tabularnewline
0.04 & 0.901085786126076 & 0.00231322773314547 \tabularnewline
0.05 & 0.902044951465917 & 0.0033950834484295 \tabularnewline
0.06 & 0.903312612591282 & 0.00423735714492117 \tabularnewline
0.07 & 0.9047904542532 & 0.00468919987111733 \tabularnewline
0.08 & 0.906358572669649 & 0.00478334320249354 \tabularnewline
0.09 & 0.907919164957972 & 0.00468662218674544 \tabularnewline
0.1 & 0.909419573459843 & 0.00459188411839808 \tabularnewline
0.11 & 0.910850043236808 & 0.00460980004685017 \tabularnewline
0.12 & 0.9122256883686 & 0.00473276534016205 \tabularnewline
0.13 & 0.913566436183697 & 0.00488471040873635 \tabularnewline
0.14 & 0.914884492403518 & 0.00499386543547146 \tabularnewline
0.15 & 0.916181650803225 & 0.0050297667514173 \tabularnewline
0.16 & 0.917453338620751 & 0.00500472948725636 \tabularnewline
0.17 & 0.918694506060471 & 0.00495876309721794 \tabularnewline
0.18 & 0.919903663831442 & 0.00493145030006913 \tabularnewline
0.19 & 0.921083795471087 & 0.00494347964683249 \tabularnewline
0.2 & 0.922240954017799 & 0.00499114387653423 \tabularnewline
0.21 & 0.923382304427807 & 0.00505903394374754 \tabularnewline
0.22 & 0.924515179914315 & 0.00513578293225878 \tabularnewline
0.23 & 0.925647838434232 & 0.00522792197528566 \tabularnewline
0.24 & 0.926791605888581 & 0.00536781806263188 \tabularnewline
0.25 & 0.927963406907531 & 0.00560993954812279 \tabularnewline
0.26 & 0.929187498513986 & 0.00601795906486834 \tabularnewline
0.27 & 0.930495495138365 & 0.00664174424496691 \tabularnewline
0.28 & 0.931924323698594 & 0.00750358892616259 \tabularnewline
0.29 & 0.933512353966945 & 0.00858796262503003 \tabularnewline
0.3 & 0.935294430198669 & 0.00984701694373441 \tabularnewline
0.31 & 0.937296781383056 & 0.0112064353657249 \tabularnewline
0.32 & 0.93953278860987 & 0.0125813161440515 \tabularnewline
0.33 & 0.942000382003748 & 0.0138794915317042 \tabularnewline
0.34 & 0.944681505324422 & 0.0150165621576013 \tabularnewline
0.35 & 0.94754371106149 & 0.0159237445529191 \tabularnewline
0.36 & 0.950543608083961 & 0.0165543278887689 \tabularnewline
0.37 & 0.953631629192261 & 0.0168920542819903 \tabularnewline
0.38 & 0.956757441347675 & 0.0169480574438004 \tabularnewline
0.39 & 0.959875286588195 & 0.0167635665997761 \tabularnewline
0.4 & 0.962948599390049 & 0.0164015985412683 \tabularnewline
0.41 & 0.965953371433648 & 0.015941144657305 \tabularnewline
0.42 & 0.968879902668398 & 0.0154719961947567 \tabularnewline
0.43 & 0.971732768720121 & 0.0150773292892253 \tabularnewline
0.44 & 0.974529035233051 & 0.0148327063506767 \tabularnewline
0.45 & 0.977294948417458 & 0.0147850724753289 \tabularnewline
0.46 & 0.980061514481534 & 0.0149518340566694 \tabularnewline
0.47 & 0.982859529907106 & 0.0153100617732599 \tabularnewline
0.48 & 0.985714715833183 & 0.0158077143931528 \tabularnewline
0.49 & 0.988643619338942 & 0.0163679899222563 \tabularnewline
0.5 & 0.991650856712955 & 0.0169027280019257 \tabularnewline
0.51 & 0.99472809015262 & 0.0173290377035243 \tabularnewline
0.52 & 0.99785487254693 & 0.0175774113927964 \tabularnewline
0.53 & 1.00100120762557 & 0.0176026668301011 \tabularnewline
0.54 & 1.00413140846413 & 0.0173837312507963 \tabularnewline
0.55 & 1.00720864745547 & 0.0169324320562366 \tabularnewline
0.56 & 1.0101995106338 & 0.0162845714916598 \tabularnewline
0.57 & 1.01307790848951 & 0.0154981062906704 \tabularnewline
0.58 & 1.01582783700718 & 0.0146407543768559 \tabularnewline
0.59 & 1.01844468923521 & 0.0137859709324127 \tabularnewline
0.6 & 1.02093504395469 & 0.0130010541558792 \tabularnewline
0.61 & 1.02331506379242 & 0.0123413325167441 \tabularnewline
0.62 & 1.02560779440646 & 0.0118409044391263 \tabularnewline
0.63 & 1.02783975943786 & 0.0115137383936771 \tabularnewline
0.64 & 1.03003729501105 & 0.0113476804090436 \tabularnewline
0.65 & 1.03222306946136 & 0.0113077989686875 \tabularnewline
0.66 & 1.03441319406358 & 0.0113450887700011 \tabularnewline
0.67 & 1.0366152517373 & 0.0114006609276532 \tabularnewline
0.68 & 1.03882745741 & 0.011416708321894 \tabularnewline
0.69 & 1.04103902763996 & 0.0113456566670943 \tabularnewline
0.7 & 1.04323169992207 & 0.011151041148137 \tabularnewline
0.71 & 1.04538223110325 & 0.0108147837693729 \tabularnewline
0.72 & 1.04746564103697 & 0.0103361086487998 \tabularnewline
0.73 & 1.04945895420076 & 0.00973483304746449 \tabularnewline
0.74 & 1.05134520349031 & 0.00904510903377387 \tabularnewline
0.75 & 1.05311744947526 & 0.00831893376931421 \tabularnewline
0.76 & 1.05478248526186 & 0.00762198578622744 \tabularnewline
0.77 & 1.05636371935045 & 0.00703722805516639 \tabularnewline
0.78 & 1.05790249017075 & 0.00666022144408288 \tabularnewline
0.79 & 1.05945686945673 & 0.00658684016436083 \tabularnewline
0.8 & 1.06109701570387 & 0.00688324971046943 \tabularnewline
0.81 & 1.06289650958017 & 0.00755166979584538 \tabularnewline
0.82 & 1.06491993682739 & 0.00850914552136845 \tabularnewline
0.83 & 1.06720822018432 & 0.00960413011646903 \tabularnewline
0.84 & 1.0697645586389 & 0.0106363891676592 \tabularnewline
0.85 & 1.07254481510749 & 0.0113920844948393 \tabularnewline
0.86 & 1.07545621604701 & 0.0116775341614936 \tabularnewline
0.87 & 1.07836685250444 & 0.0113665032822118 \tabularnewline
0.88 & 1.08112571384248 & 0.0104351566597738 \tabularnewline
0.89 & 1.0835895106638 & 0.0089761389356192 \tabularnewline
0.9 & 1.08564961242136 & 0.00718411835243261 \tabularnewline
0.91 & 1.0872514523716 & 0.00530680236641707 \tabularnewline
0.92 & 1.08840059501194 & 0.00358323040785143 \tabularnewline
0.93 & 1.08915397954488 & 0.00218432898626278 \tabularnewline
0.94 & 1.08959999790721 & 0.00118306384200137 \tabularnewline
0.95 & 1.08983474421845 & 0.000557314642106044 \tabularnewline
0.96 & 1.08994226071447 & 0.000220890523528544 \tabularnewline
0.97 & 1.08998380146263 & 7.01481453173594e-05 \tabularnewline
0.98 & 1.08999668590913 & 1.62791434082745e-05 \tabularnewline
0.99 & 1.08999961280299 & 1.99651121366467e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=173170&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]0.900027318243827[/C][C]0.000114376267945103[/C][/ROW]
[ROW][C]0.02[/C][C]0.900149216950521[/C][C]0.000504617345283019[/C][/ROW]
[ROW][C]0.03[/C][C]0.900468994326913[/C][C]0.00126646880539704[/C][/ROW]
[ROW][C]0.04[/C][C]0.901085786126076[/C][C]0.00231322773314547[/C][/ROW]
[ROW][C]0.05[/C][C]0.902044951465917[/C][C]0.0033950834484295[/C][/ROW]
[ROW][C]0.06[/C][C]0.903312612591282[/C][C]0.00423735714492117[/C][/ROW]
[ROW][C]0.07[/C][C]0.9047904542532[/C][C]0.00468919987111733[/C][/ROW]
[ROW][C]0.08[/C][C]0.906358572669649[/C][C]0.00478334320249354[/C][/ROW]
[ROW][C]0.09[/C][C]0.907919164957972[/C][C]0.00468662218674544[/C][/ROW]
[ROW][C]0.1[/C][C]0.909419573459843[/C][C]0.00459188411839808[/C][/ROW]
[ROW][C]0.11[/C][C]0.910850043236808[/C][C]0.00460980004685017[/C][/ROW]
[ROW][C]0.12[/C][C]0.9122256883686[/C][C]0.00473276534016205[/C][/ROW]
[ROW][C]0.13[/C][C]0.913566436183697[/C][C]0.00488471040873635[/C][/ROW]
[ROW][C]0.14[/C][C]0.914884492403518[/C][C]0.00499386543547146[/C][/ROW]
[ROW][C]0.15[/C][C]0.916181650803225[/C][C]0.0050297667514173[/C][/ROW]
[ROW][C]0.16[/C][C]0.917453338620751[/C][C]0.00500472948725636[/C][/ROW]
[ROW][C]0.17[/C][C]0.918694506060471[/C][C]0.00495876309721794[/C][/ROW]
[ROW][C]0.18[/C][C]0.919903663831442[/C][C]0.00493145030006913[/C][/ROW]
[ROW][C]0.19[/C][C]0.921083795471087[/C][C]0.00494347964683249[/C][/ROW]
[ROW][C]0.2[/C][C]0.922240954017799[/C][C]0.00499114387653423[/C][/ROW]
[ROW][C]0.21[/C][C]0.923382304427807[/C][C]0.00505903394374754[/C][/ROW]
[ROW][C]0.22[/C][C]0.924515179914315[/C][C]0.00513578293225878[/C][/ROW]
[ROW][C]0.23[/C][C]0.925647838434232[/C][C]0.00522792197528566[/C][/ROW]
[ROW][C]0.24[/C][C]0.926791605888581[/C][C]0.00536781806263188[/C][/ROW]
[ROW][C]0.25[/C][C]0.927963406907531[/C][C]0.00560993954812279[/C][/ROW]
[ROW][C]0.26[/C][C]0.929187498513986[/C][C]0.00601795906486834[/C][/ROW]
[ROW][C]0.27[/C][C]0.930495495138365[/C][C]0.00664174424496691[/C][/ROW]
[ROW][C]0.28[/C][C]0.931924323698594[/C][C]0.00750358892616259[/C][/ROW]
[ROW][C]0.29[/C][C]0.933512353966945[/C][C]0.00858796262503003[/C][/ROW]
[ROW][C]0.3[/C][C]0.935294430198669[/C][C]0.00984701694373441[/C][/ROW]
[ROW][C]0.31[/C][C]0.937296781383056[/C][C]0.0112064353657249[/C][/ROW]
[ROW][C]0.32[/C][C]0.93953278860987[/C][C]0.0125813161440515[/C][/ROW]
[ROW][C]0.33[/C][C]0.942000382003748[/C][C]0.0138794915317042[/C][/ROW]
[ROW][C]0.34[/C][C]0.944681505324422[/C][C]0.0150165621576013[/C][/ROW]
[ROW][C]0.35[/C][C]0.94754371106149[/C][C]0.0159237445529191[/C][/ROW]
[ROW][C]0.36[/C][C]0.950543608083961[/C][C]0.0165543278887689[/C][/ROW]
[ROW][C]0.37[/C][C]0.953631629192261[/C][C]0.0168920542819903[/C][/ROW]
[ROW][C]0.38[/C][C]0.956757441347675[/C][C]0.0169480574438004[/C][/ROW]
[ROW][C]0.39[/C][C]0.959875286588195[/C][C]0.0167635665997761[/C][/ROW]
[ROW][C]0.4[/C][C]0.962948599390049[/C][C]0.0164015985412683[/C][/ROW]
[ROW][C]0.41[/C][C]0.965953371433648[/C][C]0.015941144657305[/C][/ROW]
[ROW][C]0.42[/C][C]0.968879902668398[/C][C]0.0154719961947567[/C][/ROW]
[ROW][C]0.43[/C][C]0.971732768720121[/C][C]0.0150773292892253[/C][/ROW]
[ROW][C]0.44[/C][C]0.974529035233051[/C][C]0.0148327063506767[/C][/ROW]
[ROW][C]0.45[/C][C]0.977294948417458[/C][C]0.0147850724753289[/C][/ROW]
[ROW][C]0.46[/C][C]0.980061514481534[/C][C]0.0149518340566694[/C][/ROW]
[ROW][C]0.47[/C][C]0.982859529907106[/C][C]0.0153100617732599[/C][/ROW]
[ROW][C]0.48[/C][C]0.985714715833183[/C][C]0.0158077143931528[/C][/ROW]
[ROW][C]0.49[/C][C]0.988643619338942[/C][C]0.0163679899222563[/C][/ROW]
[ROW][C]0.5[/C][C]0.991650856712955[/C][C]0.0169027280019257[/C][/ROW]
[ROW][C]0.51[/C][C]0.99472809015262[/C][C]0.0173290377035243[/C][/ROW]
[ROW][C]0.52[/C][C]0.99785487254693[/C][C]0.0175774113927964[/C][/ROW]
[ROW][C]0.53[/C][C]1.00100120762557[/C][C]0.0176026668301011[/C][/ROW]
[ROW][C]0.54[/C][C]1.00413140846413[/C][C]0.0173837312507963[/C][/ROW]
[ROW][C]0.55[/C][C]1.00720864745547[/C][C]0.0169324320562366[/C][/ROW]
[ROW][C]0.56[/C][C]1.0101995106338[/C][C]0.0162845714916598[/C][/ROW]
[ROW][C]0.57[/C][C]1.01307790848951[/C][C]0.0154981062906704[/C][/ROW]
[ROW][C]0.58[/C][C]1.01582783700718[/C][C]0.0146407543768559[/C][/ROW]
[ROW][C]0.59[/C][C]1.01844468923521[/C][C]0.0137859709324127[/C][/ROW]
[ROW][C]0.6[/C][C]1.02093504395469[/C][C]0.0130010541558792[/C][/ROW]
[ROW][C]0.61[/C][C]1.02331506379242[/C][C]0.0123413325167441[/C][/ROW]
[ROW][C]0.62[/C][C]1.02560779440646[/C][C]0.0118409044391263[/C][/ROW]
[ROW][C]0.63[/C][C]1.02783975943786[/C][C]0.0115137383936771[/C][/ROW]
[ROW][C]0.64[/C][C]1.03003729501105[/C][C]0.0113476804090436[/C][/ROW]
[ROW][C]0.65[/C][C]1.03222306946136[/C][C]0.0113077989686875[/C][/ROW]
[ROW][C]0.66[/C][C]1.03441319406358[/C][C]0.0113450887700011[/C][/ROW]
[ROW][C]0.67[/C][C]1.0366152517373[/C][C]0.0114006609276532[/C][/ROW]
[ROW][C]0.68[/C][C]1.03882745741[/C][C]0.011416708321894[/C][/ROW]
[ROW][C]0.69[/C][C]1.04103902763996[/C][C]0.0113456566670943[/C][/ROW]
[ROW][C]0.7[/C][C]1.04323169992207[/C][C]0.011151041148137[/C][/ROW]
[ROW][C]0.71[/C][C]1.04538223110325[/C][C]0.0108147837693729[/C][/ROW]
[ROW][C]0.72[/C][C]1.04746564103697[/C][C]0.0103361086487998[/C][/ROW]
[ROW][C]0.73[/C][C]1.04945895420076[/C][C]0.00973483304746449[/C][/ROW]
[ROW][C]0.74[/C][C]1.05134520349031[/C][C]0.00904510903377387[/C][/ROW]
[ROW][C]0.75[/C][C]1.05311744947526[/C][C]0.00831893376931421[/C][/ROW]
[ROW][C]0.76[/C][C]1.05478248526186[/C][C]0.00762198578622744[/C][/ROW]
[ROW][C]0.77[/C][C]1.05636371935045[/C][C]0.00703722805516639[/C][/ROW]
[ROW][C]0.78[/C][C]1.05790249017075[/C][C]0.00666022144408288[/C][/ROW]
[ROW][C]0.79[/C][C]1.05945686945673[/C][C]0.00658684016436083[/C][/ROW]
[ROW][C]0.8[/C][C]1.06109701570387[/C][C]0.00688324971046943[/C][/ROW]
[ROW][C]0.81[/C][C]1.06289650958017[/C][C]0.00755166979584538[/C][/ROW]
[ROW][C]0.82[/C][C]1.06491993682739[/C][C]0.00850914552136845[/C][/ROW]
[ROW][C]0.83[/C][C]1.06720822018432[/C][C]0.00960413011646903[/C][/ROW]
[ROW][C]0.84[/C][C]1.0697645586389[/C][C]0.0106363891676592[/C][/ROW]
[ROW][C]0.85[/C][C]1.07254481510749[/C][C]0.0113920844948393[/C][/ROW]
[ROW][C]0.86[/C][C]1.07545621604701[/C][C]0.0116775341614936[/C][/ROW]
[ROW][C]0.87[/C][C]1.07836685250444[/C][C]0.0113665032822118[/C][/ROW]
[ROW][C]0.88[/C][C]1.08112571384248[/C][C]0.0104351566597738[/C][/ROW]
[ROW][C]0.89[/C][C]1.0835895106638[/C][C]0.0089761389356192[/C][/ROW]
[ROW][C]0.9[/C][C]1.08564961242136[/C][C]0.00718411835243261[/C][/ROW]
[ROW][C]0.91[/C][C]1.0872514523716[/C][C]0.00530680236641707[/C][/ROW]
[ROW][C]0.92[/C][C]1.08840059501194[/C][C]0.00358323040785143[/C][/ROW]
[ROW][C]0.93[/C][C]1.08915397954488[/C][C]0.00218432898626278[/C][/ROW]
[ROW][C]0.94[/C][C]1.08959999790721[/C][C]0.00118306384200137[/C][/ROW]
[ROW][C]0.95[/C][C]1.08983474421845[/C][C]0.000557314642106044[/C][/ROW]
[ROW][C]0.96[/C][C]1.08994226071447[/C][C]0.000220890523528544[/C][/ROW]
[ROW][C]0.97[/C][C]1.08998380146263[/C][C]7.01481453173594e-05[/C][/ROW]
[ROW][C]0.98[/C][C]1.08999668590913[/C][C]1.62791434082745e-05[/C][/ROW]
[ROW][C]0.99[/C][C]1.08999961280299[/C][C]1.99651121366467e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=173170&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=173170&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
0.010.9000273182438270.000114376267945103
0.020.9001492169505210.000504617345283019
0.030.9004689943269130.00126646880539704
0.040.9010857861260760.00231322773314547
0.050.9020449514659170.0033950834484295
0.060.9033126125912820.00423735714492117
0.070.90479045425320.00468919987111733
0.080.9063585726696490.00478334320249354
0.090.9079191649579720.00468662218674544
0.10.9094195734598430.00459188411839808
0.110.9108500432368080.00460980004685017
0.120.91222568836860.00473276534016205
0.130.9135664361836970.00488471040873635
0.140.9148844924035180.00499386543547146
0.150.9161816508032250.0050297667514173
0.160.9174533386207510.00500472948725636
0.170.9186945060604710.00495876309721794
0.180.9199036638314420.00493145030006913
0.190.9210837954710870.00494347964683249
0.20.9222409540177990.00499114387653423
0.210.9233823044278070.00505903394374754
0.220.9245151799143150.00513578293225878
0.230.9256478384342320.00522792197528566
0.240.9267916058885810.00536781806263188
0.250.9279634069075310.00560993954812279
0.260.9291874985139860.00601795906486834
0.270.9304954951383650.00664174424496691
0.280.9319243236985940.00750358892616259
0.290.9335123539669450.00858796262503003
0.30.9352944301986690.00984701694373441
0.310.9372967813830560.0112064353657249
0.320.939532788609870.0125813161440515
0.330.9420003820037480.0138794915317042
0.340.9446815053244220.0150165621576013
0.350.947543711061490.0159237445529191
0.360.9505436080839610.0165543278887689
0.370.9536316291922610.0168920542819903
0.380.9567574413476750.0169480574438004
0.390.9598752865881950.0167635665997761
0.40.9629485993900490.0164015985412683
0.410.9659533714336480.015941144657305
0.420.9688799026683980.0154719961947567
0.430.9717327687201210.0150773292892253
0.440.9745290352330510.0148327063506767
0.450.9772949484174580.0147850724753289
0.460.9800615144815340.0149518340566694
0.470.9828595299071060.0153100617732599
0.480.9857147158331830.0158077143931528
0.490.9886436193389420.0163679899222563
0.50.9916508567129550.0169027280019257
0.510.994728090152620.0173290377035243
0.520.997854872546930.0175774113927964
0.531.001001207625570.0176026668301011
0.541.004131408464130.0173837312507963
0.551.007208647455470.0169324320562366
0.561.01019951063380.0162845714916598
0.571.013077908489510.0154981062906704
0.581.015827837007180.0146407543768559
0.591.018444689235210.0137859709324127
0.61.020935043954690.0130010541558792
0.611.023315063792420.0123413325167441
0.621.025607794406460.0118409044391263
0.631.027839759437860.0115137383936771
0.641.030037295011050.0113476804090436
0.651.032223069461360.0113077989686875
0.661.034413194063580.0113450887700011
0.671.03661525173730.0114006609276532
0.681.038827457410.011416708321894
0.691.041039027639960.0113456566670943
0.71.043231699922070.011151041148137
0.711.045382231103250.0108147837693729
0.721.047465641036970.0103361086487998
0.731.049458954200760.00973483304746449
0.741.051345203490310.00904510903377387
0.751.053117449475260.00831893376931421
0.761.054782485261860.00762198578622744
0.771.056363719350450.00703722805516639
0.781.057902490170750.00666022144408288
0.791.059456869456730.00658684016436083
0.81.061097015703870.00688324971046943
0.811.062896509580170.00755166979584538
0.821.064919936827390.00850914552136845
0.831.067208220184320.00960413011646903
0.841.06976455863890.0106363891676592
0.851.072544815107490.0113920844948393
0.861.075456216047010.0116775341614936
0.871.078366852504440.0113665032822118
0.881.081125713842480.0104351566597738
0.891.08358951066380.0089761389356192
0.91.085649612421360.00718411835243261
0.911.08725145237160.00530680236641707
0.921.088400595011940.00358323040785143
0.931.089153979544880.00218432898626278
0.941.089599997907210.00118306384200137
0.951.089834744218450.000557314642106044
0.961.089942260714470.000220890523528544
0.971.089983801462637.01481453173594e-05
0.981.089996685909131.62791434082745e-05
0.991.089999612802991.99651121366467e-06



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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')