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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 29 Feb 2016 13:28:18 +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/2016/Feb/29/t1456752594eyfrc2k7lc6xjvg.htm/, Retrieved Tue, 30 Apr 2024 18:43:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292978, Retrieved Tue, 30 Apr 2024 18:43:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2016-02-29 13:28:18] [409b006d8fa6179b2438b444258b53f7] [Current]
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Dataseries X:
99
99
99
100
101
101
100
101
100
101
100
100
102
102
102
102
102
102
103
103
103
103
103
103
104
104
104
106
106
106
106
107
106
106
106
106
106
106
106
105
105
105
105
105
104
104
104
104
103
104
104
103
103
103
103
103
103
104
104
104
104
104
105
105
104
104
104
104
103




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=292978&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=292978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292978&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
0.0199.02367397419480.0818753579584448
0.0299.09271782706730.228769753842632
0.0399.21507960755490.372300202896913
0.0499.37801043440170.45145561379626
0.0599.55717716261530.455129531402756
0.0699.73079688923110.416019149454673
0.0799.88835335344360.38101275921757
0.08100.0308368501020.381855490310089
0.09100.1656866571520.419396011483066
0.1100.3010672231570.474926850685649
0.11100.4422979110030.530220366735775
0.12100.5909162860590.574391238262274
0.13100.745493477050.603434195205419
0.14100.9030611920240.617989415633684
0.15101.0603633155210.620764040960728
0.16101.2146228285870.614722286181313
0.17101.3638526467450.602477415276325
0.18101.5068763941620.586107890744276
0.19101.6432156665520.567945829059564
0.2101.77293049550.550210672563883
0.21101.8964379517190.534719188645038
0.22102.0143100999220.522157931226995
0.23102.1270622303860.511706418769984
0.24102.2349633099420.50100061912863
0.25102.3379115185240.487251145152331
0.26102.4354089201840.467888898840809
0.27102.5266443490010.441184339906296
0.28102.6106639735210.407051856178338
0.29102.6865867888530.366647378077711
0.3102.7538146067760.322336846696926
0.31102.8121933555030.277103627169316
0.32102.8620997148890.234182353999457
0.33102.9044471208470.196720633918381
0.34102.9406216468160.167656703917904
0.35102.9723676639040.149566965161831
0.36103.0016451591370.144392011746695
0.37103.0304772452270.152365857018671
0.38103.060800866610.171919569203996
0.39103.0943288314560.200408595370934
0.4103.1324287113060.234891831983529
0.41103.1760240025510.2724036735281
0.42103.2255241888190.309900315801989
0.43103.2807913550550.344278759668003
0.44103.3411502922050.372590378040653
0.45103.4054458103920.392430183921027
0.46103.4721454433080.401961757055644
0.47103.5394789841190.400357140778171
0.48103.6056000005680.387702403196999
0.49103.6687503189720.36499734323456
0.5103.7274076393560.334138277082781
0.51103.7803993033420.297385707010856
0.52103.8269712080250.257369715921251
0.53103.8668086192870.216731926031477
0.54103.9000134927660.177670970299617
0.55103.927049241980.142066236622702
0.56103.9486675375370.111309397400209
0.57103.9658321833770.0862929015737019
0.58103.9796525855880.0677279854206633
0.59103.9913345426180.0563880674675076
0.6104.0021501068490.0532190388809217
0.61104.0134222765080.0589010599924565
0.62104.0265154124190.0729914820508852
0.63104.0428195341760.0947415038078088
0.64104.0637168077670.123653352075872
0.65104.0905220169450.159059732734968
0.66104.1243955053920.199716419646427
0.67104.1662361293610.244042146089627
0.68104.2165714274770.289635027118691
0.69104.2754699474510.333602370830074
0.7104.3425035387580.37303243560847
0.71104.4167829028430.405327021026582
0.72104.4970766872580.428647677433636
0.73104.5820041804040.442485226453632
0.74104.6702682996080.4478408107726
0.75104.7608755919490.447123246532461
0.76104.8532809080760.443888478131943
0.77104.9474024535810.441742149101695
0.78105.0434802484680.443282195405886
0.79105.1417936878020.448757860610193
0.8105.2423013314790.455857661240559
0.81105.3443030219570.460175885753967
0.82105.4462355313430.456411980119093
0.83105.5456886663230.440219847492124
0.84105.6396709588960.409263743789353
0.85105.7250780379130.3640568508399
0.86105.7992478688680.307868117197254
0.87105.8604518592550.246123919538283
0.88105.9081859702010.184945841086937
0.89105.9431900618920.129896957548243
0.9105.9672185181890.0846971084112999
0.91105.9826899160510.0509273167481082
0.92105.9924600339410.0282010761909886
0.93106.0001338028530.0154167679561035
0.94106.0115857333060.0162790917685692
0.95106.0384162027420.0406493209803567
0.96106.1027080528550.104762084604009
0.97106.2373418858250.239119006189253
0.98106.4677132319820.466985399010901
0.99106.7638667750920.756882377292799

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.0236739741948 & 0.0818753579584448 \tabularnewline
0.02 & 99.0927178270673 & 0.228769753842632 \tabularnewline
0.03 & 99.2150796075549 & 0.372300202896913 \tabularnewline
0.04 & 99.3780104344017 & 0.45145561379626 \tabularnewline
0.05 & 99.5571771626153 & 0.455129531402756 \tabularnewline
0.06 & 99.7307968892311 & 0.416019149454673 \tabularnewline
0.07 & 99.8883533534436 & 0.38101275921757 \tabularnewline
0.08 & 100.030836850102 & 0.381855490310089 \tabularnewline
0.09 & 100.165686657152 & 0.419396011483066 \tabularnewline
0.1 & 100.301067223157 & 0.474926850685649 \tabularnewline
0.11 & 100.442297911003 & 0.530220366735775 \tabularnewline
0.12 & 100.590916286059 & 0.574391238262274 \tabularnewline
0.13 & 100.74549347705 & 0.603434195205419 \tabularnewline
0.14 & 100.903061192024 & 0.617989415633684 \tabularnewline
0.15 & 101.060363315521 & 0.620764040960728 \tabularnewline
0.16 & 101.214622828587 & 0.614722286181313 \tabularnewline
0.17 & 101.363852646745 & 0.602477415276325 \tabularnewline
0.18 & 101.506876394162 & 0.586107890744276 \tabularnewline
0.19 & 101.643215666552 & 0.567945829059564 \tabularnewline
0.2 & 101.7729304955 & 0.550210672563883 \tabularnewline
0.21 & 101.896437951719 & 0.534719188645038 \tabularnewline
0.22 & 102.014310099922 & 0.522157931226995 \tabularnewline
0.23 & 102.127062230386 & 0.511706418769984 \tabularnewline
0.24 & 102.234963309942 & 0.50100061912863 \tabularnewline
0.25 & 102.337911518524 & 0.487251145152331 \tabularnewline
0.26 & 102.435408920184 & 0.467888898840809 \tabularnewline
0.27 & 102.526644349001 & 0.441184339906296 \tabularnewline
0.28 & 102.610663973521 & 0.407051856178338 \tabularnewline
0.29 & 102.686586788853 & 0.366647378077711 \tabularnewline
0.3 & 102.753814606776 & 0.322336846696926 \tabularnewline
0.31 & 102.812193355503 & 0.277103627169316 \tabularnewline
0.32 & 102.862099714889 & 0.234182353999457 \tabularnewline
0.33 & 102.904447120847 & 0.196720633918381 \tabularnewline
0.34 & 102.940621646816 & 0.167656703917904 \tabularnewline
0.35 & 102.972367663904 & 0.149566965161831 \tabularnewline
0.36 & 103.001645159137 & 0.144392011746695 \tabularnewline
0.37 & 103.030477245227 & 0.152365857018671 \tabularnewline
0.38 & 103.06080086661 & 0.171919569203996 \tabularnewline
0.39 & 103.094328831456 & 0.200408595370934 \tabularnewline
0.4 & 103.132428711306 & 0.234891831983529 \tabularnewline
0.41 & 103.176024002551 & 0.2724036735281 \tabularnewline
0.42 & 103.225524188819 & 0.309900315801989 \tabularnewline
0.43 & 103.280791355055 & 0.344278759668003 \tabularnewline
0.44 & 103.341150292205 & 0.372590378040653 \tabularnewline
0.45 & 103.405445810392 & 0.392430183921027 \tabularnewline
0.46 & 103.472145443308 & 0.401961757055644 \tabularnewline
0.47 & 103.539478984119 & 0.400357140778171 \tabularnewline
0.48 & 103.605600000568 & 0.387702403196999 \tabularnewline
0.49 & 103.668750318972 & 0.36499734323456 \tabularnewline
0.5 & 103.727407639356 & 0.334138277082781 \tabularnewline
0.51 & 103.780399303342 & 0.297385707010856 \tabularnewline
0.52 & 103.826971208025 & 0.257369715921251 \tabularnewline
0.53 & 103.866808619287 & 0.216731926031477 \tabularnewline
0.54 & 103.900013492766 & 0.177670970299617 \tabularnewline
0.55 & 103.92704924198 & 0.142066236622702 \tabularnewline
0.56 & 103.948667537537 & 0.111309397400209 \tabularnewline
0.57 & 103.965832183377 & 0.0862929015737019 \tabularnewline
0.58 & 103.979652585588 & 0.0677279854206633 \tabularnewline
0.59 & 103.991334542618 & 0.0563880674675076 \tabularnewline
0.6 & 104.002150106849 & 0.0532190388809217 \tabularnewline
0.61 & 104.013422276508 & 0.0589010599924565 \tabularnewline
0.62 & 104.026515412419 & 0.0729914820508852 \tabularnewline
0.63 & 104.042819534176 & 0.0947415038078088 \tabularnewline
0.64 & 104.063716807767 & 0.123653352075872 \tabularnewline
0.65 & 104.090522016945 & 0.159059732734968 \tabularnewline
0.66 & 104.124395505392 & 0.199716419646427 \tabularnewline
0.67 & 104.166236129361 & 0.244042146089627 \tabularnewline
0.68 & 104.216571427477 & 0.289635027118691 \tabularnewline
0.69 & 104.275469947451 & 0.333602370830074 \tabularnewline
0.7 & 104.342503538758 & 0.37303243560847 \tabularnewline
0.71 & 104.416782902843 & 0.405327021026582 \tabularnewline
0.72 & 104.497076687258 & 0.428647677433636 \tabularnewline
0.73 & 104.582004180404 & 0.442485226453632 \tabularnewline
0.74 & 104.670268299608 & 0.4478408107726 \tabularnewline
0.75 & 104.760875591949 & 0.447123246532461 \tabularnewline
0.76 & 104.853280908076 & 0.443888478131943 \tabularnewline
0.77 & 104.947402453581 & 0.441742149101695 \tabularnewline
0.78 & 105.043480248468 & 0.443282195405886 \tabularnewline
0.79 & 105.141793687802 & 0.448757860610193 \tabularnewline
0.8 & 105.242301331479 & 0.455857661240559 \tabularnewline
0.81 & 105.344303021957 & 0.460175885753967 \tabularnewline
0.82 & 105.446235531343 & 0.456411980119093 \tabularnewline
0.83 & 105.545688666323 & 0.440219847492124 \tabularnewline
0.84 & 105.639670958896 & 0.409263743789353 \tabularnewline
0.85 & 105.725078037913 & 0.3640568508399 \tabularnewline
0.86 & 105.799247868868 & 0.307868117197254 \tabularnewline
0.87 & 105.860451859255 & 0.246123919538283 \tabularnewline
0.88 & 105.908185970201 & 0.184945841086937 \tabularnewline
0.89 & 105.943190061892 & 0.129896957548243 \tabularnewline
0.9 & 105.967218518189 & 0.0846971084112999 \tabularnewline
0.91 & 105.982689916051 & 0.0509273167481082 \tabularnewline
0.92 & 105.992460033941 & 0.0282010761909886 \tabularnewline
0.93 & 106.000133802853 & 0.0154167679561035 \tabularnewline
0.94 & 106.011585733306 & 0.0162790917685692 \tabularnewline
0.95 & 106.038416202742 & 0.0406493209803567 \tabularnewline
0.96 & 106.102708052855 & 0.104762084604009 \tabularnewline
0.97 & 106.237341885825 & 0.239119006189253 \tabularnewline
0.98 & 106.467713231982 & 0.466985399010901 \tabularnewline
0.99 & 106.763866775092 & 0.756882377292799 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292978&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]99.0236739741948[/C][C]0.0818753579584448[/C][/ROW]
[ROW][C]0.02[/C][C]99.0927178270673[/C][C]0.228769753842632[/C][/ROW]
[ROW][C]0.03[/C][C]99.2150796075549[/C][C]0.372300202896913[/C][/ROW]
[ROW][C]0.04[/C][C]99.3780104344017[/C][C]0.45145561379626[/C][/ROW]
[ROW][C]0.05[/C][C]99.5571771626153[/C][C]0.455129531402756[/C][/ROW]
[ROW][C]0.06[/C][C]99.7307968892311[/C][C]0.416019149454673[/C][/ROW]
[ROW][C]0.07[/C][C]99.8883533534436[/C][C]0.38101275921757[/C][/ROW]
[ROW][C]0.08[/C][C]100.030836850102[/C][C]0.381855490310089[/C][/ROW]
[ROW][C]0.09[/C][C]100.165686657152[/C][C]0.419396011483066[/C][/ROW]
[ROW][C]0.1[/C][C]100.301067223157[/C][C]0.474926850685649[/C][/ROW]
[ROW][C]0.11[/C][C]100.442297911003[/C][C]0.530220366735775[/C][/ROW]
[ROW][C]0.12[/C][C]100.590916286059[/C][C]0.574391238262274[/C][/ROW]
[ROW][C]0.13[/C][C]100.74549347705[/C][C]0.603434195205419[/C][/ROW]
[ROW][C]0.14[/C][C]100.903061192024[/C][C]0.617989415633684[/C][/ROW]
[ROW][C]0.15[/C][C]101.060363315521[/C][C]0.620764040960728[/C][/ROW]
[ROW][C]0.16[/C][C]101.214622828587[/C][C]0.614722286181313[/C][/ROW]
[ROW][C]0.17[/C][C]101.363852646745[/C][C]0.602477415276325[/C][/ROW]
[ROW][C]0.18[/C][C]101.506876394162[/C][C]0.586107890744276[/C][/ROW]
[ROW][C]0.19[/C][C]101.643215666552[/C][C]0.567945829059564[/C][/ROW]
[ROW][C]0.2[/C][C]101.7729304955[/C][C]0.550210672563883[/C][/ROW]
[ROW][C]0.21[/C][C]101.896437951719[/C][C]0.534719188645038[/C][/ROW]
[ROW][C]0.22[/C][C]102.014310099922[/C][C]0.522157931226995[/C][/ROW]
[ROW][C]0.23[/C][C]102.127062230386[/C][C]0.511706418769984[/C][/ROW]
[ROW][C]0.24[/C][C]102.234963309942[/C][C]0.50100061912863[/C][/ROW]
[ROW][C]0.25[/C][C]102.337911518524[/C][C]0.487251145152331[/C][/ROW]
[ROW][C]0.26[/C][C]102.435408920184[/C][C]0.467888898840809[/C][/ROW]
[ROW][C]0.27[/C][C]102.526644349001[/C][C]0.441184339906296[/C][/ROW]
[ROW][C]0.28[/C][C]102.610663973521[/C][C]0.407051856178338[/C][/ROW]
[ROW][C]0.29[/C][C]102.686586788853[/C][C]0.366647378077711[/C][/ROW]
[ROW][C]0.3[/C][C]102.753814606776[/C][C]0.322336846696926[/C][/ROW]
[ROW][C]0.31[/C][C]102.812193355503[/C][C]0.277103627169316[/C][/ROW]
[ROW][C]0.32[/C][C]102.862099714889[/C][C]0.234182353999457[/C][/ROW]
[ROW][C]0.33[/C][C]102.904447120847[/C][C]0.196720633918381[/C][/ROW]
[ROW][C]0.34[/C][C]102.940621646816[/C][C]0.167656703917904[/C][/ROW]
[ROW][C]0.35[/C][C]102.972367663904[/C][C]0.149566965161831[/C][/ROW]
[ROW][C]0.36[/C][C]103.001645159137[/C][C]0.144392011746695[/C][/ROW]
[ROW][C]0.37[/C][C]103.030477245227[/C][C]0.152365857018671[/C][/ROW]
[ROW][C]0.38[/C][C]103.06080086661[/C][C]0.171919569203996[/C][/ROW]
[ROW][C]0.39[/C][C]103.094328831456[/C][C]0.200408595370934[/C][/ROW]
[ROW][C]0.4[/C][C]103.132428711306[/C][C]0.234891831983529[/C][/ROW]
[ROW][C]0.41[/C][C]103.176024002551[/C][C]0.2724036735281[/C][/ROW]
[ROW][C]0.42[/C][C]103.225524188819[/C][C]0.309900315801989[/C][/ROW]
[ROW][C]0.43[/C][C]103.280791355055[/C][C]0.344278759668003[/C][/ROW]
[ROW][C]0.44[/C][C]103.341150292205[/C][C]0.372590378040653[/C][/ROW]
[ROW][C]0.45[/C][C]103.405445810392[/C][C]0.392430183921027[/C][/ROW]
[ROW][C]0.46[/C][C]103.472145443308[/C][C]0.401961757055644[/C][/ROW]
[ROW][C]0.47[/C][C]103.539478984119[/C][C]0.400357140778171[/C][/ROW]
[ROW][C]0.48[/C][C]103.605600000568[/C][C]0.387702403196999[/C][/ROW]
[ROW][C]0.49[/C][C]103.668750318972[/C][C]0.36499734323456[/C][/ROW]
[ROW][C]0.5[/C][C]103.727407639356[/C][C]0.334138277082781[/C][/ROW]
[ROW][C]0.51[/C][C]103.780399303342[/C][C]0.297385707010856[/C][/ROW]
[ROW][C]0.52[/C][C]103.826971208025[/C][C]0.257369715921251[/C][/ROW]
[ROW][C]0.53[/C][C]103.866808619287[/C][C]0.216731926031477[/C][/ROW]
[ROW][C]0.54[/C][C]103.900013492766[/C][C]0.177670970299617[/C][/ROW]
[ROW][C]0.55[/C][C]103.92704924198[/C][C]0.142066236622702[/C][/ROW]
[ROW][C]0.56[/C][C]103.948667537537[/C][C]0.111309397400209[/C][/ROW]
[ROW][C]0.57[/C][C]103.965832183377[/C][C]0.0862929015737019[/C][/ROW]
[ROW][C]0.58[/C][C]103.979652585588[/C][C]0.0677279854206633[/C][/ROW]
[ROW][C]0.59[/C][C]103.991334542618[/C][C]0.0563880674675076[/C][/ROW]
[ROW][C]0.6[/C][C]104.002150106849[/C][C]0.0532190388809217[/C][/ROW]
[ROW][C]0.61[/C][C]104.013422276508[/C][C]0.0589010599924565[/C][/ROW]
[ROW][C]0.62[/C][C]104.026515412419[/C][C]0.0729914820508852[/C][/ROW]
[ROW][C]0.63[/C][C]104.042819534176[/C][C]0.0947415038078088[/C][/ROW]
[ROW][C]0.64[/C][C]104.063716807767[/C][C]0.123653352075872[/C][/ROW]
[ROW][C]0.65[/C][C]104.090522016945[/C][C]0.159059732734968[/C][/ROW]
[ROW][C]0.66[/C][C]104.124395505392[/C][C]0.199716419646427[/C][/ROW]
[ROW][C]0.67[/C][C]104.166236129361[/C][C]0.244042146089627[/C][/ROW]
[ROW][C]0.68[/C][C]104.216571427477[/C][C]0.289635027118691[/C][/ROW]
[ROW][C]0.69[/C][C]104.275469947451[/C][C]0.333602370830074[/C][/ROW]
[ROW][C]0.7[/C][C]104.342503538758[/C][C]0.37303243560847[/C][/ROW]
[ROW][C]0.71[/C][C]104.416782902843[/C][C]0.405327021026582[/C][/ROW]
[ROW][C]0.72[/C][C]104.497076687258[/C][C]0.428647677433636[/C][/ROW]
[ROW][C]0.73[/C][C]104.582004180404[/C][C]0.442485226453632[/C][/ROW]
[ROW][C]0.74[/C][C]104.670268299608[/C][C]0.4478408107726[/C][/ROW]
[ROW][C]0.75[/C][C]104.760875591949[/C][C]0.447123246532461[/C][/ROW]
[ROW][C]0.76[/C][C]104.853280908076[/C][C]0.443888478131943[/C][/ROW]
[ROW][C]0.77[/C][C]104.947402453581[/C][C]0.441742149101695[/C][/ROW]
[ROW][C]0.78[/C][C]105.043480248468[/C][C]0.443282195405886[/C][/ROW]
[ROW][C]0.79[/C][C]105.141793687802[/C][C]0.448757860610193[/C][/ROW]
[ROW][C]0.8[/C][C]105.242301331479[/C][C]0.455857661240559[/C][/ROW]
[ROW][C]0.81[/C][C]105.344303021957[/C][C]0.460175885753967[/C][/ROW]
[ROW][C]0.82[/C][C]105.446235531343[/C][C]0.456411980119093[/C][/ROW]
[ROW][C]0.83[/C][C]105.545688666323[/C][C]0.440219847492124[/C][/ROW]
[ROW][C]0.84[/C][C]105.639670958896[/C][C]0.409263743789353[/C][/ROW]
[ROW][C]0.85[/C][C]105.725078037913[/C][C]0.3640568508399[/C][/ROW]
[ROW][C]0.86[/C][C]105.799247868868[/C][C]0.307868117197254[/C][/ROW]
[ROW][C]0.87[/C][C]105.860451859255[/C][C]0.246123919538283[/C][/ROW]
[ROW][C]0.88[/C][C]105.908185970201[/C][C]0.184945841086937[/C][/ROW]
[ROW][C]0.89[/C][C]105.943190061892[/C][C]0.129896957548243[/C][/ROW]
[ROW][C]0.9[/C][C]105.967218518189[/C][C]0.0846971084112999[/C][/ROW]
[ROW][C]0.91[/C][C]105.982689916051[/C][C]0.0509273167481082[/C][/ROW]
[ROW][C]0.92[/C][C]105.992460033941[/C][C]0.0282010761909886[/C][/ROW]
[ROW][C]0.93[/C][C]106.000133802853[/C][C]0.0154167679561035[/C][/ROW]
[ROW][C]0.94[/C][C]106.011585733306[/C][C]0.0162790917685692[/C][/ROW]
[ROW][C]0.95[/C][C]106.038416202742[/C][C]0.0406493209803567[/C][/ROW]
[ROW][C]0.96[/C][C]106.102708052855[/C][C]0.104762084604009[/C][/ROW]
[ROW][C]0.97[/C][C]106.237341885825[/C][C]0.239119006189253[/C][/ROW]
[ROW][C]0.98[/C][C]106.467713231982[/C][C]0.466985399010901[/C][/ROW]
[ROW][C]0.99[/C][C]106.763866775092[/C][C]0.756882377292799[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292978&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
0.0199.02367397419480.0818753579584448
0.0299.09271782706730.228769753842632
0.0399.21507960755490.372300202896913
0.0499.37801043440170.45145561379626
0.0599.55717716261530.455129531402756
0.0699.73079688923110.416019149454673
0.0799.88835335344360.38101275921757
0.08100.0308368501020.381855490310089
0.09100.1656866571520.419396011483066
0.1100.3010672231570.474926850685649
0.11100.4422979110030.530220366735775
0.12100.5909162860590.574391238262274
0.13100.745493477050.603434195205419
0.14100.9030611920240.617989415633684
0.15101.0603633155210.620764040960728
0.16101.2146228285870.614722286181313
0.17101.3638526467450.602477415276325
0.18101.5068763941620.586107890744276
0.19101.6432156665520.567945829059564
0.2101.77293049550.550210672563883
0.21101.8964379517190.534719188645038
0.22102.0143100999220.522157931226995
0.23102.1270622303860.511706418769984
0.24102.2349633099420.50100061912863
0.25102.3379115185240.487251145152331
0.26102.4354089201840.467888898840809
0.27102.5266443490010.441184339906296
0.28102.6106639735210.407051856178338
0.29102.6865867888530.366647378077711
0.3102.7538146067760.322336846696926
0.31102.8121933555030.277103627169316
0.32102.8620997148890.234182353999457
0.33102.9044471208470.196720633918381
0.34102.9406216468160.167656703917904
0.35102.9723676639040.149566965161831
0.36103.0016451591370.144392011746695
0.37103.0304772452270.152365857018671
0.38103.060800866610.171919569203996
0.39103.0943288314560.200408595370934
0.4103.1324287113060.234891831983529
0.41103.1760240025510.2724036735281
0.42103.2255241888190.309900315801989
0.43103.2807913550550.344278759668003
0.44103.3411502922050.372590378040653
0.45103.4054458103920.392430183921027
0.46103.4721454433080.401961757055644
0.47103.5394789841190.400357140778171
0.48103.6056000005680.387702403196999
0.49103.6687503189720.36499734323456
0.5103.7274076393560.334138277082781
0.51103.7803993033420.297385707010856
0.52103.8269712080250.257369715921251
0.53103.8668086192870.216731926031477
0.54103.9000134927660.177670970299617
0.55103.927049241980.142066236622702
0.56103.9486675375370.111309397400209
0.57103.9658321833770.0862929015737019
0.58103.9796525855880.0677279854206633
0.59103.9913345426180.0563880674675076
0.6104.0021501068490.0532190388809217
0.61104.0134222765080.0589010599924565
0.62104.0265154124190.0729914820508852
0.63104.0428195341760.0947415038078088
0.64104.0637168077670.123653352075872
0.65104.0905220169450.159059732734968
0.66104.1243955053920.199716419646427
0.67104.1662361293610.244042146089627
0.68104.2165714274770.289635027118691
0.69104.2754699474510.333602370830074
0.7104.3425035387580.37303243560847
0.71104.4167829028430.405327021026582
0.72104.4970766872580.428647677433636
0.73104.5820041804040.442485226453632
0.74104.6702682996080.4478408107726
0.75104.7608755919490.447123246532461
0.76104.8532809080760.443888478131943
0.77104.9474024535810.441742149101695
0.78105.0434802484680.443282195405886
0.79105.1417936878020.448757860610193
0.8105.2423013314790.455857661240559
0.81105.3443030219570.460175885753967
0.82105.4462355313430.456411980119093
0.83105.5456886663230.440219847492124
0.84105.6396709588960.409263743789353
0.85105.7250780379130.3640568508399
0.86105.7992478688680.307868117197254
0.87105.8604518592550.246123919538283
0.88105.9081859702010.184945841086937
0.89105.9431900618920.129896957548243
0.9105.9672185181890.0846971084112999
0.91105.9826899160510.0509273167481082
0.92105.9924600339410.0282010761909886
0.93106.0001338028530.0154167679561035
0.94106.0115857333060.0162790917685692
0.95106.0384162027420.0406493209803567
0.96106.1027080528550.104762084604009
0.97106.2373418858250.239119006189253
0.98106.4677132319820.466985399010901
0.99106.7638667750920.756882377292799



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')