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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 11 Feb 2015 12:14:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/11/t1423656940bn265tp3w8m6gia.htm/, Retrieved Sun, 19 May 2024 02:18:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276995, Retrieved Sun, 19 May 2024 02:18:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-02-11 12:14:23] [3b0947f879d0db9a6034293524e1b6d0] [Current]
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Dataseries X:
6
6,7
-0,6
5,8
16,4
1,5
5,1
14,7
4,3
1,5
9,1
4,3
5,7
13
14,5
9,7
-4,7
7,3
5,2
-2,5
11,5
4,9
-2,4
-0,3
4,4
7,9
-9,7
-4,1
16,4
-4,9
3,5
3,8
-0,2
3,1
0,7
-2,8
5,9
-5,3
-2,9
6,6
-8,1
1,3
6,9
-7,2
-1,9
4
-5,7
3,9
-7,6
-0,9
7,3
-3,7
-2,5
9,3
1,3
9,5
11,3
-1,7
8
-4,8
1,6
1,9
-0,9
5,5
1,7
-5,4
1,9
0,2
-13,3
-8,2
0,2
5,7
-1,2
-2,8
5,5
-17,3
1,4
-2,2
-8,6
-5
4,1
0,7
-4,2
-2,3
-3,4
-4,2
-14,2
1,6
-4,9
-1,8
-0,5
-2,3
-5,3
-0,2
5,1
-1,5




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' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276995&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276995&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276995&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' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-15.91124028309642.5826474753099
0.02-13.95870597176772.46288126970195
0.03-12.14633368622222.50094948490443
0.04-10.6463658892032.2363204771719
0.05-9.474684748057221.79707966726279
0.06-8.590833799596411.44750312978447
0.07-7.912096009751661.2849988521373
0.08-7.35527208166371.23875767213471
0.09-6.868466430995051.20466653536125
0.1-6.433156133941011.12829725004933
0.11-6.049450806752391.00638378419582
0.12-5.72077971000140.863948898193712
0.13-5.445442478262480.732481460628214
0.14-5.215088074044220.635898380739932
0.15-5.017145123787120.584633621089839
0.16-4.838229673731210.576017439275441
0.17-4.666793021301010.59907890292215
0.18-4.49450268415120.640547686813168
0.19-4.316560421732710.688357813229057
0.2-4.131365049533990.732685261753932
0.21-3.939853659450020.766147017058667
0.22-3.744715759014490.784009892402855
0.23-3.549579125146790.784358497547337
0.24-3.3582315865920.768115556817205
0.25-3.173943478136230.738768089676674
0.26-2.99895898132650.701691402678607
0.27-2.834211299534190.663185469056248
0.28-2.679283629621790.62941983069913
0.29-2.532594791212980.605369263109353
0.3-2.391749531547620.594035811693606
0.31-2.253970516982590.596077769456401
0.32-2.116526314394620.610009381085227
0.33-1.977084521704340.63281051801719
0.34-1.833944623286160.660815260708955
0.35-1.686133501022910.690375083623552
0.36-1.533372079335480.718469243024033
0.37-1.375941158865740.743006518227495
0.38-1.214486901090620.762978551764015
0.39-1.049811415794670.778402813747935
0.4-0.8826915056971270.790086842092401
0.41-0.7137591159353840.799230084245425
0.42-0.543461392145520.806978170432323
0.43-0.3720986506312710.814003000503617
0.44-0.1999185632366910.82024125037648
0.45-0.02722895314967910.824894101701882
0.460.1455157954179150.826700494764559
0.470.3176955667301420.824425112999308
0.480.4885973079334220.817443055239023
0.490.6575791472867640.806259790147681
0.50.8242962776335510.792823034232375
0.510.9889340758697890.780511967793235
0.521.152380410929340.773722001139608
0.531.316272495080410.777006437347703
0.541.4828756002420.793860022103071
0.551.654788270616610.825512309875206
0.561.83451331486420.870158284541756
0.572.023974502699840.923056566213198
0.582.22408350887050.977376357621194
0.592.434461052966231.02552606271043
0.62.653387373577411.06056225860232
0.612.878005360992521.07745914470695
0.623.104737874542391.0739709261238
0.633.329826555214611.05090219818748
0.643.549869479303591.0117432677009
0.653.762239210239110.961753671937125
0.663.965300425011070.906739888402119
0.674.158405606484220.851799799908714
0.684.341709492339060.800437184054069
0.694.515888720466990.754244554023122
0.74.681869242770680.713242489902119
0.714.840647731358420.676704950954652
0.724.993251926573360.644054162721652
0.735.140833145025530.615584605521726
0.745.284838184396810.59275507276043
0.755.427180975187010.577967923302114
0.765.570334263831010.573940632252001
0.775.717289270934180.582807739373426
0.785.871379982464260.605215033222963
0.796.036023638711850.639994322646472
0.86.214468238078860.684578704696099
0.816.409638764103080.736015145879524
0.826.624125484346790.791975571455027
0.836.860276392334250.851239931997527
0.847.120291956754770.91330442483395
0.857.406240608746940.977274918860771
0.867.720052163052221.04107318069619
0.878.063744107255451.1021337244553
0.888.440220174133881.16022785284142
0.898.854752087228481.22102983443796
0.99.316665528928921.29683309906514
0.919.840037874190111.40074535860818
0.9210.44184470665051.53517905850145
0.9311.1365230944921.6815959263397
0.9411.92796439451711.79758024926565
0.9512.80328657443421.82746555383093
0.9613.73288413021071.73637727061803
0.9714.66939472118871.54105340978931
0.9815.52436161461651.22517368769664
0.9916.14356202206570.644959228774474

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -15.9112402830964 & 2.5826474753099 \tabularnewline
0.02 & -13.9587059717677 & 2.46288126970195 \tabularnewline
0.03 & -12.1463336862222 & 2.50094948490443 \tabularnewline
0.04 & -10.646365889203 & 2.2363204771719 \tabularnewline
0.05 & -9.47468474805722 & 1.79707966726279 \tabularnewline
0.06 & -8.59083379959641 & 1.44750312978447 \tabularnewline
0.07 & -7.91209600975166 & 1.2849988521373 \tabularnewline
0.08 & -7.3552720816637 & 1.23875767213471 \tabularnewline
0.09 & -6.86846643099505 & 1.20466653536125 \tabularnewline
0.1 & -6.43315613394101 & 1.12829725004933 \tabularnewline
0.11 & -6.04945080675239 & 1.00638378419582 \tabularnewline
0.12 & -5.7207797100014 & 0.863948898193712 \tabularnewline
0.13 & -5.44544247826248 & 0.732481460628214 \tabularnewline
0.14 & -5.21508807404422 & 0.635898380739932 \tabularnewline
0.15 & -5.01714512378712 & 0.584633621089839 \tabularnewline
0.16 & -4.83822967373121 & 0.576017439275441 \tabularnewline
0.17 & -4.66679302130101 & 0.59907890292215 \tabularnewline
0.18 & -4.4945026841512 & 0.640547686813168 \tabularnewline
0.19 & -4.31656042173271 & 0.688357813229057 \tabularnewline
0.2 & -4.13136504953399 & 0.732685261753932 \tabularnewline
0.21 & -3.93985365945002 & 0.766147017058667 \tabularnewline
0.22 & -3.74471575901449 & 0.784009892402855 \tabularnewline
0.23 & -3.54957912514679 & 0.784358497547337 \tabularnewline
0.24 & -3.358231586592 & 0.768115556817205 \tabularnewline
0.25 & -3.17394347813623 & 0.738768089676674 \tabularnewline
0.26 & -2.9989589813265 & 0.701691402678607 \tabularnewline
0.27 & -2.83421129953419 & 0.663185469056248 \tabularnewline
0.28 & -2.67928362962179 & 0.62941983069913 \tabularnewline
0.29 & -2.53259479121298 & 0.605369263109353 \tabularnewline
0.3 & -2.39174953154762 & 0.594035811693606 \tabularnewline
0.31 & -2.25397051698259 & 0.596077769456401 \tabularnewline
0.32 & -2.11652631439462 & 0.610009381085227 \tabularnewline
0.33 & -1.97708452170434 & 0.63281051801719 \tabularnewline
0.34 & -1.83394462328616 & 0.660815260708955 \tabularnewline
0.35 & -1.68613350102291 & 0.690375083623552 \tabularnewline
0.36 & -1.53337207933548 & 0.718469243024033 \tabularnewline
0.37 & -1.37594115886574 & 0.743006518227495 \tabularnewline
0.38 & -1.21448690109062 & 0.762978551764015 \tabularnewline
0.39 & -1.04981141579467 & 0.778402813747935 \tabularnewline
0.4 & -0.882691505697127 & 0.790086842092401 \tabularnewline
0.41 & -0.713759115935384 & 0.799230084245425 \tabularnewline
0.42 & -0.54346139214552 & 0.806978170432323 \tabularnewline
0.43 & -0.372098650631271 & 0.814003000503617 \tabularnewline
0.44 & -0.199918563236691 & 0.82024125037648 \tabularnewline
0.45 & -0.0272289531496791 & 0.824894101701882 \tabularnewline
0.46 & 0.145515795417915 & 0.826700494764559 \tabularnewline
0.47 & 0.317695566730142 & 0.824425112999308 \tabularnewline
0.48 & 0.488597307933422 & 0.817443055239023 \tabularnewline
0.49 & 0.657579147286764 & 0.806259790147681 \tabularnewline
0.5 & 0.824296277633551 & 0.792823034232375 \tabularnewline
0.51 & 0.988934075869789 & 0.780511967793235 \tabularnewline
0.52 & 1.15238041092934 & 0.773722001139608 \tabularnewline
0.53 & 1.31627249508041 & 0.777006437347703 \tabularnewline
0.54 & 1.482875600242 & 0.793860022103071 \tabularnewline
0.55 & 1.65478827061661 & 0.825512309875206 \tabularnewline
0.56 & 1.8345133148642 & 0.870158284541756 \tabularnewline
0.57 & 2.02397450269984 & 0.923056566213198 \tabularnewline
0.58 & 2.2240835088705 & 0.977376357621194 \tabularnewline
0.59 & 2.43446105296623 & 1.02552606271043 \tabularnewline
0.6 & 2.65338737357741 & 1.06056225860232 \tabularnewline
0.61 & 2.87800536099252 & 1.07745914470695 \tabularnewline
0.62 & 3.10473787454239 & 1.0739709261238 \tabularnewline
0.63 & 3.32982655521461 & 1.05090219818748 \tabularnewline
0.64 & 3.54986947930359 & 1.0117432677009 \tabularnewline
0.65 & 3.76223921023911 & 0.961753671937125 \tabularnewline
0.66 & 3.96530042501107 & 0.906739888402119 \tabularnewline
0.67 & 4.15840560648422 & 0.851799799908714 \tabularnewline
0.68 & 4.34170949233906 & 0.800437184054069 \tabularnewline
0.69 & 4.51588872046699 & 0.754244554023122 \tabularnewline
0.7 & 4.68186924277068 & 0.713242489902119 \tabularnewline
0.71 & 4.84064773135842 & 0.676704950954652 \tabularnewline
0.72 & 4.99325192657336 & 0.644054162721652 \tabularnewline
0.73 & 5.14083314502553 & 0.615584605521726 \tabularnewline
0.74 & 5.28483818439681 & 0.59275507276043 \tabularnewline
0.75 & 5.42718097518701 & 0.577967923302114 \tabularnewline
0.76 & 5.57033426383101 & 0.573940632252001 \tabularnewline
0.77 & 5.71728927093418 & 0.582807739373426 \tabularnewline
0.78 & 5.87137998246426 & 0.605215033222963 \tabularnewline
0.79 & 6.03602363871185 & 0.639994322646472 \tabularnewline
0.8 & 6.21446823807886 & 0.684578704696099 \tabularnewline
0.81 & 6.40963876410308 & 0.736015145879524 \tabularnewline
0.82 & 6.62412548434679 & 0.791975571455027 \tabularnewline
0.83 & 6.86027639233425 & 0.851239931997527 \tabularnewline
0.84 & 7.12029195675477 & 0.91330442483395 \tabularnewline
0.85 & 7.40624060874694 & 0.977274918860771 \tabularnewline
0.86 & 7.72005216305222 & 1.04107318069619 \tabularnewline
0.87 & 8.06374410725545 & 1.1021337244553 \tabularnewline
0.88 & 8.44022017413388 & 1.16022785284142 \tabularnewline
0.89 & 8.85475208722848 & 1.22102983443796 \tabularnewline
0.9 & 9.31666552892892 & 1.29683309906514 \tabularnewline
0.91 & 9.84003787419011 & 1.40074535860818 \tabularnewline
0.92 & 10.4418447066505 & 1.53517905850145 \tabularnewline
0.93 & 11.136523094492 & 1.6815959263397 \tabularnewline
0.94 & 11.9279643945171 & 1.79758024926565 \tabularnewline
0.95 & 12.8032865744342 & 1.82746555383093 \tabularnewline
0.96 & 13.7328841302107 & 1.73637727061803 \tabularnewline
0.97 & 14.6693947211887 & 1.54105340978931 \tabularnewline
0.98 & 15.5243616146165 & 1.22517368769664 \tabularnewline
0.99 & 16.1435620220657 & 0.644959228774474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276995&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]-15.9112402830964[/C][C]2.5826474753099[/C][/ROW]
[ROW][C]0.02[/C][C]-13.9587059717677[/C][C]2.46288126970195[/C][/ROW]
[ROW][C]0.03[/C][C]-12.1463336862222[/C][C]2.50094948490443[/C][/ROW]
[ROW][C]0.04[/C][C]-10.646365889203[/C][C]2.2363204771719[/C][/ROW]
[ROW][C]0.05[/C][C]-9.47468474805722[/C][C]1.79707966726279[/C][/ROW]
[ROW][C]0.06[/C][C]-8.59083379959641[/C][C]1.44750312978447[/C][/ROW]
[ROW][C]0.07[/C][C]-7.91209600975166[/C][C]1.2849988521373[/C][/ROW]
[ROW][C]0.08[/C][C]-7.3552720816637[/C][C]1.23875767213471[/C][/ROW]
[ROW][C]0.09[/C][C]-6.86846643099505[/C][C]1.20466653536125[/C][/ROW]
[ROW][C]0.1[/C][C]-6.43315613394101[/C][C]1.12829725004933[/C][/ROW]
[ROW][C]0.11[/C][C]-6.04945080675239[/C][C]1.00638378419582[/C][/ROW]
[ROW][C]0.12[/C][C]-5.7207797100014[/C][C]0.863948898193712[/C][/ROW]
[ROW][C]0.13[/C][C]-5.44544247826248[/C][C]0.732481460628214[/C][/ROW]
[ROW][C]0.14[/C][C]-5.21508807404422[/C][C]0.635898380739932[/C][/ROW]
[ROW][C]0.15[/C][C]-5.01714512378712[/C][C]0.584633621089839[/C][/ROW]
[ROW][C]0.16[/C][C]-4.83822967373121[/C][C]0.576017439275441[/C][/ROW]
[ROW][C]0.17[/C][C]-4.66679302130101[/C][C]0.59907890292215[/C][/ROW]
[ROW][C]0.18[/C][C]-4.4945026841512[/C][C]0.640547686813168[/C][/ROW]
[ROW][C]0.19[/C][C]-4.31656042173271[/C][C]0.688357813229057[/C][/ROW]
[ROW][C]0.2[/C][C]-4.13136504953399[/C][C]0.732685261753932[/C][/ROW]
[ROW][C]0.21[/C][C]-3.93985365945002[/C][C]0.766147017058667[/C][/ROW]
[ROW][C]0.22[/C][C]-3.74471575901449[/C][C]0.784009892402855[/C][/ROW]
[ROW][C]0.23[/C][C]-3.54957912514679[/C][C]0.784358497547337[/C][/ROW]
[ROW][C]0.24[/C][C]-3.358231586592[/C][C]0.768115556817205[/C][/ROW]
[ROW][C]0.25[/C][C]-3.17394347813623[/C][C]0.738768089676674[/C][/ROW]
[ROW][C]0.26[/C][C]-2.9989589813265[/C][C]0.701691402678607[/C][/ROW]
[ROW][C]0.27[/C][C]-2.83421129953419[/C][C]0.663185469056248[/C][/ROW]
[ROW][C]0.28[/C][C]-2.67928362962179[/C][C]0.62941983069913[/C][/ROW]
[ROW][C]0.29[/C][C]-2.53259479121298[/C][C]0.605369263109353[/C][/ROW]
[ROW][C]0.3[/C][C]-2.39174953154762[/C][C]0.594035811693606[/C][/ROW]
[ROW][C]0.31[/C][C]-2.25397051698259[/C][C]0.596077769456401[/C][/ROW]
[ROW][C]0.32[/C][C]-2.11652631439462[/C][C]0.610009381085227[/C][/ROW]
[ROW][C]0.33[/C][C]-1.97708452170434[/C][C]0.63281051801719[/C][/ROW]
[ROW][C]0.34[/C][C]-1.83394462328616[/C][C]0.660815260708955[/C][/ROW]
[ROW][C]0.35[/C][C]-1.68613350102291[/C][C]0.690375083623552[/C][/ROW]
[ROW][C]0.36[/C][C]-1.53337207933548[/C][C]0.718469243024033[/C][/ROW]
[ROW][C]0.37[/C][C]-1.37594115886574[/C][C]0.743006518227495[/C][/ROW]
[ROW][C]0.38[/C][C]-1.21448690109062[/C][C]0.762978551764015[/C][/ROW]
[ROW][C]0.39[/C][C]-1.04981141579467[/C][C]0.778402813747935[/C][/ROW]
[ROW][C]0.4[/C][C]-0.882691505697127[/C][C]0.790086842092401[/C][/ROW]
[ROW][C]0.41[/C][C]-0.713759115935384[/C][C]0.799230084245425[/C][/ROW]
[ROW][C]0.42[/C][C]-0.54346139214552[/C][C]0.806978170432323[/C][/ROW]
[ROW][C]0.43[/C][C]-0.372098650631271[/C][C]0.814003000503617[/C][/ROW]
[ROW][C]0.44[/C][C]-0.199918563236691[/C][C]0.82024125037648[/C][/ROW]
[ROW][C]0.45[/C][C]-0.0272289531496791[/C][C]0.824894101701882[/C][/ROW]
[ROW][C]0.46[/C][C]0.145515795417915[/C][C]0.826700494764559[/C][/ROW]
[ROW][C]0.47[/C][C]0.317695566730142[/C][C]0.824425112999308[/C][/ROW]
[ROW][C]0.48[/C][C]0.488597307933422[/C][C]0.817443055239023[/C][/ROW]
[ROW][C]0.49[/C][C]0.657579147286764[/C][C]0.806259790147681[/C][/ROW]
[ROW][C]0.5[/C][C]0.824296277633551[/C][C]0.792823034232375[/C][/ROW]
[ROW][C]0.51[/C][C]0.988934075869789[/C][C]0.780511967793235[/C][/ROW]
[ROW][C]0.52[/C][C]1.15238041092934[/C][C]0.773722001139608[/C][/ROW]
[ROW][C]0.53[/C][C]1.31627249508041[/C][C]0.777006437347703[/C][/ROW]
[ROW][C]0.54[/C][C]1.482875600242[/C][C]0.793860022103071[/C][/ROW]
[ROW][C]0.55[/C][C]1.65478827061661[/C][C]0.825512309875206[/C][/ROW]
[ROW][C]0.56[/C][C]1.8345133148642[/C][C]0.870158284541756[/C][/ROW]
[ROW][C]0.57[/C][C]2.02397450269984[/C][C]0.923056566213198[/C][/ROW]
[ROW][C]0.58[/C][C]2.2240835088705[/C][C]0.977376357621194[/C][/ROW]
[ROW][C]0.59[/C][C]2.43446105296623[/C][C]1.02552606271043[/C][/ROW]
[ROW][C]0.6[/C][C]2.65338737357741[/C][C]1.06056225860232[/C][/ROW]
[ROW][C]0.61[/C][C]2.87800536099252[/C][C]1.07745914470695[/C][/ROW]
[ROW][C]0.62[/C][C]3.10473787454239[/C][C]1.0739709261238[/C][/ROW]
[ROW][C]0.63[/C][C]3.32982655521461[/C][C]1.05090219818748[/C][/ROW]
[ROW][C]0.64[/C][C]3.54986947930359[/C][C]1.0117432677009[/C][/ROW]
[ROW][C]0.65[/C][C]3.76223921023911[/C][C]0.961753671937125[/C][/ROW]
[ROW][C]0.66[/C][C]3.96530042501107[/C][C]0.906739888402119[/C][/ROW]
[ROW][C]0.67[/C][C]4.15840560648422[/C][C]0.851799799908714[/C][/ROW]
[ROW][C]0.68[/C][C]4.34170949233906[/C][C]0.800437184054069[/C][/ROW]
[ROW][C]0.69[/C][C]4.51588872046699[/C][C]0.754244554023122[/C][/ROW]
[ROW][C]0.7[/C][C]4.68186924277068[/C][C]0.713242489902119[/C][/ROW]
[ROW][C]0.71[/C][C]4.84064773135842[/C][C]0.676704950954652[/C][/ROW]
[ROW][C]0.72[/C][C]4.99325192657336[/C][C]0.644054162721652[/C][/ROW]
[ROW][C]0.73[/C][C]5.14083314502553[/C][C]0.615584605521726[/C][/ROW]
[ROW][C]0.74[/C][C]5.28483818439681[/C][C]0.59275507276043[/C][/ROW]
[ROW][C]0.75[/C][C]5.42718097518701[/C][C]0.577967923302114[/C][/ROW]
[ROW][C]0.76[/C][C]5.57033426383101[/C][C]0.573940632252001[/C][/ROW]
[ROW][C]0.77[/C][C]5.71728927093418[/C][C]0.582807739373426[/C][/ROW]
[ROW][C]0.78[/C][C]5.87137998246426[/C][C]0.605215033222963[/C][/ROW]
[ROW][C]0.79[/C][C]6.03602363871185[/C][C]0.639994322646472[/C][/ROW]
[ROW][C]0.8[/C][C]6.21446823807886[/C][C]0.684578704696099[/C][/ROW]
[ROW][C]0.81[/C][C]6.40963876410308[/C][C]0.736015145879524[/C][/ROW]
[ROW][C]0.82[/C][C]6.62412548434679[/C][C]0.791975571455027[/C][/ROW]
[ROW][C]0.83[/C][C]6.86027639233425[/C][C]0.851239931997527[/C][/ROW]
[ROW][C]0.84[/C][C]7.12029195675477[/C][C]0.91330442483395[/C][/ROW]
[ROW][C]0.85[/C][C]7.40624060874694[/C][C]0.977274918860771[/C][/ROW]
[ROW][C]0.86[/C][C]7.72005216305222[/C][C]1.04107318069619[/C][/ROW]
[ROW][C]0.87[/C][C]8.06374410725545[/C][C]1.1021337244553[/C][/ROW]
[ROW][C]0.88[/C][C]8.44022017413388[/C][C]1.16022785284142[/C][/ROW]
[ROW][C]0.89[/C][C]8.85475208722848[/C][C]1.22102983443796[/C][/ROW]
[ROW][C]0.9[/C][C]9.31666552892892[/C][C]1.29683309906514[/C][/ROW]
[ROW][C]0.91[/C][C]9.84003787419011[/C][C]1.40074535860818[/C][/ROW]
[ROW][C]0.92[/C][C]10.4418447066505[/C][C]1.53517905850145[/C][/ROW]
[ROW][C]0.93[/C][C]11.136523094492[/C][C]1.6815959263397[/C][/ROW]
[ROW][C]0.94[/C][C]11.9279643945171[/C][C]1.79758024926565[/C][/ROW]
[ROW][C]0.95[/C][C]12.8032865744342[/C][C]1.82746555383093[/C][/ROW]
[ROW][C]0.96[/C][C]13.7328841302107[/C][C]1.73637727061803[/C][/ROW]
[ROW][C]0.97[/C][C]14.6693947211887[/C][C]1.54105340978931[/C][/ROW]
[ROW][C]0.98[/C][C]15.5243616146165[/C][C]1.22517368769664[/C][/ROW]
[ROW][C]0.99[/C][C]16.1435620220657[/C][C]0.644959228774474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276995&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276995&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
0.01-15.91124028309642.5826474753099
0.02-13.95870597176772.46288126970195
0.03-12.14633368622222.50094948490443
0.04-10.6463658892032.2363204771719
0.05-9.474684748057221.79707966726279
0.06-8.590833799596411.44750312978447
0.07-7.912096009751661.2849988521373
0.08-7.35527208166371.23875767213471
0.09-6.868466430995051.20466653536125
0.1-6.433156133941011.12829725004933
0.11-6.049450806752391.00638378419582
0.12-5.72077971000140.863948898193712
0.13-5.445442478262480.732481460628214
0.14-5.215088074044220.635898380739932
0.15-5.017145123787120.584633621089839
0.16-4.838229673731210.576017439275441
0.17-4.666793021301010.59907890292215
0.18-4.49450268415120.640547686813168
0.19-4.316560421732710.688357813229057
0.2-4.131365049533990.732685261753932
0.21-3.939853659450020.766147017058667
0.22-3.744715759014490.784009892402855
0.23-3.549579125146790.784358497547337
0.24-3.3582315865920.768115556817205
0.25-3.173943478136230.738768089676674
0.26-2.99895898132650.701691402678607
0.27-2.834211299534190.663185469056248
0.28-2.679283629621790.62941983069913
0.29-2.532594791212980.605369263109353
0.3-2.391749531547620.594035811693606
0.31-2.253970516982590.596077769456401
0.32-2.116526314394620.610009381085227
0.33-1.977084521704340.63281051801719
0.34-1.833944623286160.660815260708955
0.35-1.686133501022910.690375083623552
0.36-1.533372079335480.718469243024033
0.37-1.375941158865740.743006518227495
0.38-1.214486901090620.762978551764015
0.39-1.049811415794670.778402813747935
0.4-0.8826915056971270.790086842092401
0.41-0.7137591159353840.799230084245425
0.42-0.543461392145520.806978170432323
0.43-0.3720986506312710.814003000503617
0.44-0.1999185632366910.82024125037648
0.45-0.02722895314967910.824894101701882
0.460.1455157954179150.826700494764559
0.470.3176955667301420.824425112999308
0.480.4885973079334220.817443055239023
0.490.6575791472867640.806259790147681
0.50.8242962776335510.792823034232375
0.510.9889340758697890.780511967793235
0.521.152380410929340.773722001139608
0.531.316272495080410.777006437347703
0.541.4828756002420.793860022103071
0.551.654788270616610.825512309875206
0.561.83451331486420.870158284541756
0.572.023974502699840.923056566213198
0.582.22408350887050.977376357621194
0.592.434461052966231.02552606271043
0.62.653387373577411.06056225860232
0.612.878005360992521.07745914470695
0.623.104737874542391.0739709261238
0.633.329826555214611.05090219818748
0.643.549869479303591.0117432677009
0.653.762239210239110.961753671937125
0.663.965300425011070.906739888402119
0.674.158405606484220.851799799908714
0.684.341709492339060.800437184054069
0.694.515888720466990.754244554023122
0.74.681869242770680.713242489902119
0.714.840647731358420.676704950954652
0.724.993251926573360.644054162721652
0.735.140833145025530.615584605521726
0.745.284838184396810.59275507276043
0.755.427180975187010.577967923302114
0.765.570334263831010.573940632252001
0.775.717289270934180.582807739373426
0.785.871379982464260.605215033222963
0.796.036023638711850.639994322646472
0.86.214468238078860.684578704696099
0.816.409638764103080.736015145879524
0.826.624125484346790.791975571455027
0.836.860276392334250.851239931997527
0.847.120291956754770.91330442483395
0.857.406240608746940.977274918860771
0.867.720052163052221.04107318069619
0.878.063744107255451.1021337244553
0.888.440220174133881.16022785284142
0.898.854752087228481.22102983443796
0.99.316665528928921.29683309906514
0.919.840037874190111.40074535860818
0.9210.44184470665051.53517905850145
0.9311.1365230944921.6815959263397
0.9411.92796439451711.79758024926565
0.9512.80328657443421.82746555383093
0.9613.73288413021071.73637727061803
0.9714.66939472118871.54105340978931
0.9815.52436161461651.22517368769664
0.9916.14356202206570.644959228774474



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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')