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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Oct 2013 08:04:00 -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/2013/Oct/01/t1380629053yhda0z74h2aprvj.htm/, Retrieved Wed, 11 Feb 2026 14:16:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212550, Retrieved Wed, 11 Feb 2026 14:16:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact440

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2013-10-01 11:48:55] [41b8d88384d696c671e043f0c3bb96a9]
-   PD    [Harrell-Davis Quantiles] [] [2013-10-01 12:04:00] [5d7546d7dacadccf70943ca90d1ce990] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.16
101.21
101.21
101.21
103.16
103.16
103.16
103.16
101.13
101.13
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
100.53
99.42
99.42
99.42
99.42
100.31
100.31
102.25
102.25
102.25
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.81
101.94
101.94
101.94
101.94
101.94
102
102
102
102
102
102
102
102
102
102
102
102
109.67
109.67
109.67
109.67
109.67
109.67
109.67
109.67
109.67
109.67
109.67
109.67

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212550&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212550&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212550&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.43068012302530.0389994446373266
0.0299.47338030132360.142667481549046
0.0399.56684552064890.281994958413844
0.0499.71108067813860.393018455522822
0.0599.8853257518790.43092455006457
0.06100.0601728609290.395766166521877
0.07100.2118869557190.318174408888266
0.08100.3294397378610.232405840970694
0.09100.4134621014380.161102660331446
0.1100.4714031814450.114213300647574
0.11100.5128957986240.0950840914413234
0.12100.546907658650.102019773218328
0.13100.5804818939660.127028744282828
0.14100.6183597461890.161114315962704
0.15100.6629800935910.196681051554083
0.16100.7146686965550.227187328129096
0.17100.7720034334950.247240618796441
0.18100.8323591694260.253788679617848
0.19100.8925763354980.246327881622299
0.2100.9496384124520.227062809308458
0.21101.0012287057930.199823717196367
0.22101.0460717658250.169595248586578
0.23101.0840285583790.141145411310993
0.24101.1159771488740.118778869249241
0.25101.1435497371870.106065890071244
0.26101.1688054643680.104909949053914
0.27101.1939037351690.115009836151302
0.28101.2208187255690.133841914866726
0.29101.2511146090280.158353109452252
0.3101.2857888231270.185189985070455
0.31101.325186648390.211205901007184
0.32101.3689897411560.233263397788431
0.33101.4162790280520.248783752345684
0.34101.4656659725370.256015747986537
0.35101.515476466910.253959938894249
0.36101.5639617908120.242976441517845
0.37101.6095051610470.224189603620857
0.38101.6507930926170.199617243231682
0.39101.6869284433270.171483315121592
0.4101.7174745622910.142290742896156
0.41101.7424338464150.114078102874979
0.42101.762175536710.088495280857644
0.43101.7773341661760.0666789896453415
0.44101.7887008715230.049052743418532
0.45101.7971256870190.0357412065408289
0.46101.8034419588410.026581546423329
0.47101.8084164705070.0213400733522263
0.48101.812722669760.0197155567862906
0.49101.8169306389560.0210869881849828
0.5101.8215063784680.0247767169390946
0.51101.8268141019950.029927221188507
0.52101.8331177017320.0360444708929242
0.53101.8405803589720.0425750501744641
0.54101.8492636174490.0490860855510325
0.55101.8591285565770.0549602638333288
0.56101.8700418124110.0598508201184012
0.57101.8817882616220.0634006512370456
0.58101.8940906468620.0652839644020932
0.59101.9066348510180.0654599526750344
0.6101.9190984507150.0639680122249236
0.61101.9311799253430.0609806201308259
0.62101.9426265109230.0567964102859684
0.63101.9532599399620.0518928991375326
0.64101.9630008010560.0466765490855087
0.65101.971893566880.0417355867129277
0.66101.9801351755730.0378706281370668
0.67101.9881103148430.0360053583248593
0.68101.9964364042460.0375279130866611
0.69102.0060211110170.0440377748215165
0.7102.0181357259720.0571457641178428
0.71102.0345096595350.0785897173155496
0.72102.0574552333680.110404909506346
0.73102.090037248320.155512552036689
0.74102.1363053529180.217530847273537
0.75102.2016018255250.301666649720488
0.76102.2929316613540.414287915248211
0.77102.4193238331580.56355177918264
0.78102.5920188615530.758280972797097
0.79102.8242076593991.00557749958973
0.8103.1299742080531.30716797765043
0.81103.5221460446441.65426112287417
0.82104.0090167168342.02322453318108
0.83104.5903920380022.37412318235031
0.84105.2540084942992.65435411428279
0.85105.9738001607152.80929969250953
0.86106.7114013969832.79713260315821
0.87107.4214494088492.60369391581782
0.88108.0598335039392.25138476808778
0.89108.5925986105481.79584017855463
0.9109.0025376164981.31111053844144
0.91109.2911411630080.868139723050496
0.92109.4753748061770.515586959006666
0.93109.5808550885340.270871044054459
0.94109.6342805863360.123620622618289
0.95109.65779497090.0478315268887709
0.96109.6665715027070.0151258687430963
0.97109.6692526305780.00369700717149141
0.98109.6698862797470.000632382805649846
0.99109.6699907192794.86448312038343e-05
1109.67NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4306801230253 & 0.0389994446373266 \tabularnewline
0.02 & 99.4733803013236 & 0.142667481549046 \tabularnewline
0.03 & 99.5668455206489 & 0.281994958413844 \tabularnewline
0.04 & 99.7110806781386 & 0.393018455522822 \tabularnewline
0.05 & 99.885325751879 & 0.43092455006457 \tabularnewline
0.06 & 100.060172860929 & 0.395766166521877 \tabularnewline
0.07 & 100.211886955719 & 0.318174408888266 \tabularnewline
0.08 & 100.329439737861 & 0.232405840970694 \tabularnewline
0.09 & 100.413462101438 & 0.161102660331446 \tabularnewline
0.1 & 100.471403181445 & 0.114213300647574 \tabularnewline
0.11 & 100.512895798624 & 0.0950840914413234 \tabularnewline
0.12 & 100.54690765865 & 0.102019773218328 \tabularnewline
0.13 & 100.580481893966 & 0.127028744282828 \tabularnewline
0.14 & 100.618359746189 & 0.161114315962704 \tabularnewline
0.15 & 100.662980093591 & 0.196681051554083 \tabularnewline
0.16 & 100.714668696555 & 0.227187328129096 \tabularnewline
0.17 & 100.772003433495 & 0.247240618796441 \tabularnewline
0.18 & 100.832359169426 & 0.253788679617848 \tabularnewline
0.19 & 100.892576335498 & 0.246327881622299 \tabularnewline
0.2 & 100.949638412452 & 0.227062809308458 \tabularnewline
0.21 & 101.001228705793 & 0.199823717196367 \tabularnewline
0.22 & 101.046071765825 & 0.169595248586578 \tabularnewline
0.23 & 101.084028558379 & 0.141145411310993 \tabularnewline
0.24 & 101.115977148874 & 0.118778869249241 \tabularnewline
0.25 & 101.143549737187 & 0.106065890071244 \tabularnewline
0.26 & 101.168805464368 & 0.104909949053914 \tabularnewline
0.27 & 101.193903735169 & 0.115009836151302 \tabularnewline
0.28 & 101.220818725569 & 0.133841914866726 \tabularnewline
0.29 & 101.251114609028 & 0.158353109452252 \tabularnewline
0.3 & 101.285788823127 & 0.185189985070455 \tabularnewline
0.31 & 101.32518664839 & 0.211205901007184 \tabularnewline
0.32 & 101.368989741156 & 0.233263397788431 \tabularnewline
0.33 & 101.416279028052 & 0.248783752345684 \tabularnewline
0.34 & 101.465665972537 & 0.256015747986537 \tabularnewline
0.35 & 101.51547646691 & 0.253959938894249 \tabularnewline
0.36 & 101.563961790812 & 0.242976441517845 \tabularnewline
0.37 & 101.609505161047 & 0.224189603620857 \tabularnewline
0.38 & 101.650793092617 & 0.199617243231682 \tabularnewline
0.39 & 101.686928443327 & 0.171483315121592 \tabularnewline
0.4 & 101.717474562291 & 0.142290742896156 \tabularnewline
0.41 & 101.742433846415 & 0.114078102874979 \tabularnewline
0.42 & 101.76217553671 & 0.088495280857644 \tabularnewline
0.43 & 101.777334166176 & 0.0666789896453415 \tabularnewline
0.44 & 101.788700871523 & 0.049052743418532 \tabularnewline
0.45 & 101.797125687019 & 0.0357412065408289 \tabularnewline
0.46 & 101.803441958841 & 0.026581546423329 \tabularnewline
0.47 & 101.808416470507 & 0.0213400733522263 \tabularnewline
0.48 & 101.81272266976 & 0.0197155567862906 \tabularnewline
0.49 & 101.816930638956 & 0.0210869881849828 \tabularnewline
0.5 & 101.821506378468 & 0.0247767169390946 \tabularnewline
0.51 & 101.826814101995 & 0.029927221188507 \tabularnewline
0.52 & 101.833117701732 & 0.0360444708929242 \tabularnewline
0.53 & 101.840580358972 & 0.0425750501744641 \tabularnewline
0.54 & 101.849263617449 & 0.0490860855510325 \tabularnewline
0.55 & 101.859128556577 & 0.0549602638333288 \tabularnewline
0.56 & 101.870041812411 & 0.0598508201184012 \tabularnewline
0.57 & 101.881788261622 & 0.0634006512370456 \tabularnewline
0.58 & 101.894090646862 & 0.0652839644020932 \tabularnewline
0.59 & 101.906634851018 & 0.0654599526750344 \tabularnewline
0.6 & 101.919098450715 & 0.0639680122249236 \tabularnewline
0.61 & 101.931179925343 & 0.0609806201308259 \tabularnewline
0.62 & 101.942626510923 & 0.0567964102859684 \tabularnewline
0.63 & 101.953259939962 & 0.0518928991375326 \tabularnewline
0.64 & 101.963000801056 & 0.0466765490855087 \tabularnewline
0.65 & 101.97189356688 & 0.0417355867129277 \tabularnewline
0.66 & 101.980135175573 & 0.0378706281370668 \tabularnewline
0.67 & 101.988110314843 & 0.0360053583248593 \tabularnewline
0.68 & 101.996436404246 & 0.0375279130866611 \tabularnewline
0.69 & 102.006021111017 & 0.0440377748215165 \tabularnewline
0.7 & 102.018135725972 & 0.0571457641178428 \tabularnewline
0.71 & 102.034509659535 & 0.0785897173155496 \tabularnewline
0.72 & 102.057455233368 & 0.110404909506346 \tabularnewline
0.73 & 102.09003724832 & 0.155512552036689 \tabularnewline
0.74 & 102.136305352918 & 0.217530847273537 \tabularnewline
0.75 & 102.201601825525 & 0.301666649720488 \tabularnewline
0.76 & 102.292931661354 & 0.414287915248211 \tabularnewline
0.77 & 102.419323833158 & 0.56355177918264 \tabularnewline
0.78 & 102.592018861553 & 0.758280972797097 \tabularnewline
0.79 & 102.824207659399 & 1.00557749958973 \tabularnewline
0.8 & 103.129974208053 & 1.30716797765043 \tabularnewline
0.81 & 103.522146044644 & 1.65426112287417 \tabularnewline
0.82 & 104.009016716834 & 2.02322453318108 \tabularnewline
0.83 & 104.590392038002 & 2.37412318235031 \tabularnewline
0.84 & 105.254008494299 & 2.65435411428279 \tabularnewline
0.85 & 105.973800160715 & 2.80929969250953 \tabularnewline
0.86 & 106.711401396983 & 2.79713260315821 \tabularnewline
0.87 & 107.421449408849 & 2.60369391581782 \tabularnewline
0.88 & 108.059833503939 & 2.25138476808778 \tabularnewline
0.89 & 108.592598610548 & 1.79584017855463 \tabularnewline
0.9 & 109.002537616498 & 1.31111053844144 \tabularnewline
0.91 & 109.291141163008 & 0.868139723050496 \tabularnewline
0.92 & 109.475374806177 & 0.515586959006666 \tabularnewline
0.93 & 109.580855088534 & 0.270871044054459 \tabularnewline
0.94 & 109.634280586336 & 0.123620622618289 \tabularnewline
0.95 & 109.6577949709 & 0.0478315268887709 \tabularnewline
0.96 & 109.666571502707 & 0.0151258687430963 \tabularnewline
0.97 & 109.669252630578 & 0.00369700717149141 \tabularnewline
0.98 & 109.669886279747 & 0.000632382805649846 \tabularnewline
0.99 & 109.669990719279 & 4.86448312038343e-05 \tabularnewline
1 & 109.67 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212550&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]99.4306801230253[/C][C]0.0389994446373266[/C][/ROW]
[ROW][C]0.02[/C][C]99.4733803013236[/C][C]0.142667481549046[/C][/ROW]
[ROW][C]0.03[/C][C]99.5668455206489[/C][C]0.281994958413844[/C][/ROW]
[ROW][C]0.04[/C][C]99.7110806781386[/C][C]0.393018455522822[/C][/ROW]
[ROW][C]0.05[/C][C]99.885325751879[/C][C]0.43092455006457[/C][/ROW]
[ROW][C]0.06[/C][C]100.060172860929[/C][C]0.395766166521877[/C][/ROW]
[ROW][C]0.07[/C][C]100.211886955719[/C][C]0.318174408888266[/C][/ROW]
[ROW][C]0.08[/C][C]100.329439737861[/C][C]0.232405840970694[/C][/ROW]
[ROW][C]0.09[/C][C]100.413462101438[/C][C]0.161102660331446[/C][/ROW]
[ROW][C]0.1[/C][C]100.471403181445[/C][C]0.114213300647574[/C][/ROW]
[ROW][C]0.11[/C][C]100.512895798624[/C][C]0.0950840914413234[/C][/ROW]
[ROW][C]0.12[/C][C]100.54690765865[/C][C]0.102019773218328[/C][/ROW]
[ROW][C]0.13[/C][C]100.580481893966[/C][C]0.127028744282828[/C][/ROW]
[ROW][C]0.14[/C][C]100.618359746189[/C][C]0.161114315962704[/C][/ROW]
[ROW][C]0.15[/C][C]100.662980093591[/C][C]0.196681051554083[/C][/ROW]
[ROW][C]0.16[/C][C]100.714668696555[/C][C]0.227187328129096[/C][/ROW]
[ROW][C]0.17[/C][C]100.772003433495[/C][C]0.247240618796441[/C][/ROW]
[ROW][C]0.18[/C][C]100.832359169426[/C][C]0.253788679617848[/C][/ROW]
[ROW][C]0.19[/C][C]100.892576335498[/C][C]0.246327881622299[/C][/ROW]
[ROW][C]0.2[/C][C]100.949638412452[/C][C]0.227062809308458[/C][/ROW]
[ROW][C]0.21[/C][C]101.001228705793[/C][C]0.199823717196367[/C][/ROW]
[ROW][C]0.22[/C][C]101.046071765825[/C][C]0.169595248586578[/C][/ROW]
[ROW][C]0.23[/C][C]101.084028558379[/C][C]0.141145411310993[/C][/ROW]
[ROW][C]0.24[/C][C]101.115977148874[/C][C]0.118778869249241[/C][/ROW]
[ROW][C]0.25[/C][C]101.143549737187[/C][C]0.106065890071244[/C][/ROW]
[ROW][C]0.26[/C][C]101.168805464368[/C][C]0.104909949053914[/C][/ROW]
[ROW][C]0.27[/C][C]101.193903735169[/C][C]0.115009836151302[/C][/ROW]
[ROW][C]0.28[/C][C]101.220818725569[/C][C]0.133841914866726[/C][/ROW]
[ROW][C]0.29[/C][C]101.251114609028[/C][C]0.158353109452252[/C][/ROW]
[ROW][C]0.3[/C][C]101.285788823127[/C][C]0.185189985070455[/C][/ROW]
[ROW][C]0.31[/C][C]101.32518664839[/C][C]0.211205901007184[/C][/ROW]
[ROW][C]0.32[/C][C]101.368989741156[/C][C]0.233263397788431[/C][/ROW]
[ROW][C]0.33[/C][C]101.416279028052[/C][C]0.248783752345684[/C][/ROW]
[ROW][C]0.34[/C][C]101.465665972537[/C][C]0.256015747986537[/C][/ROW]
[ROW][C]0.35[/C][C]101.51547646691[/C][C]0.253959938894249[/C][/ROW]
[ROW][C]0.36[/C][C]101.563961790812[/C][C]0.242976441517845[/C][/ROW]
[ROW][C]0.37[/C][C]101.609505161047[/C][C]0.224189603620857[/C][/ROW]
[ROW][C]0.38[/C][C]101.650793092617[/C][C]0.199617243231682[/C][/ROW]
[ROW][C]0.39[/C][C]101.686928443327[/C][C]0.171483315121592[/C][/ROW]
[ROW][C]0.4[/C][C]101.717474562291[/C][C]0.142290742896156[/C][/ROW]
[ROW][C]0.41[/C][C]101.742433846415[/C][C]0.114078102874979[/C][/ROW]
[ROW][C]0.42[/C][C]101.76217553671[/C][C]0.088495280857644[/C][/ROW]
[ROW][C]0.43[/C][C]101.777334166176[/C][C]0.0666789896453415[/C][/ROW]
[ROW][C]0.44[/C][C]101.788700871523[/C][C]0.049052743418532[/C][/ROW]
[ROW][C]0.45[/C][C]101.797125687019[/C][C]0.0357412065408289[/C][/ROW]
[ROW][C]0.46[/C][C]101.803441958841[/C][C]0.026581546423329[/C][/ROW]
[ROW][C]0.47[/C][C]101.808416470507[/C][C]0.0213400733522263[/C][/ROW]
[ROW][C]0.48[/C][C]101.81272266976[/C][C]0.0197155567862906[/C][/ROW]
[ROW][C]0.49[/C][C]101.816930638956[/C][C]0.0210869881849828[/C][/ROW]
[ROW][C]0.5[/C][C]101.821506378468[/C][C]0.0247767169390946[/C][/ROW]
[ROW][C]0.51[/C][C]101.826814101995[/C][C]0.029927221188507[/C][/ROW]
[ROW][C]0.52[/C][C]101.833117701732[/C][C]0.0360444708929242[/C][/ROW]
[ROW][C]0.53[/C][C]101.840580358972[/C][C]0.0425750501744641[/C][/ROW]
[ROW][C]0.54[/C][C]101.849263617449[/C][C]0.0490860855510325[/C][/ROW]
[ROW][C]0.55[/C][C]101.859128556577[/C][C]0.0549602638333288[/C][/ROW]
[ROW][C]0.56[/C][C]101.870041812411[/C][C]0.0598508201184012[/C][/ROW]
[ROW][C]0.57[/C][C]101.881788261622[/C][C]0.0634006512370456[/C][/ROW]
[ROW][C]0.58[/C][C]101.894090646862[/C][C]0.0652839644020932[/C][/ROW]
[ROW][C]0.59[/C][C]101.906634851018[/C][C]0.0654599526750344[/C][/ROW]
[ROW][C]0.6[/C][C]101.919098450715[/C][C]0.0639680122249236[/C][/ROW]
[ROW][C]0.61[/C][C]101.931179925343[/C][C]0.0609806201308259[/C][/ROW]
[ROW][C]0.62[/C][C]101.942626510923[/C][C]0.0567964102859684[/C][/ROW]
[ROW][C]0.63[/C][C]101.953259939962[/C][C]0.0518928991375326[/C][/ROW]
[ROW][C]0.64[/C][C]101.963000801056[/C][C]0.0466765490855087[/C][/ROW]
[ROW][C]0.65[/C][C]101.97189356688[/C][C]0.0417355867129277[/C][/ROW]
[ROW][C]0.66[/C][C]101.980135175573[/C][C]0.0378706281370668[/C][/ROW]
[ROW][C]0.67[/C][C]101.988110314843[/C][C]0.0360053583248593[/C][/ROW]
[ROW][C]0.68[/C][C]101.996436404246[/C][C]0.0375279130866611[/C][/ROW]
[ROW][C]0.69[/C][C]102.006021111017[/C][C]0.0440377748215165[/C][/ROW]
[ROW][C]0.7[/C][C]102.018135725972[/C][C]0.0571457641178428[/C][/ROW]
[ROW][C]0.71[/C][C]102.034509659535[/C][C]0.0785897173155496[/C][/ROW]
[ROW][C]0.72[/C][C]102.057455233368[/C][C]0.110404909506346[/C][/ROW]
[ROW][C]0.73[/C][C]102.09003724832[/C][C]0.155512552036689[/C][/ROW]
[ROW][C]0.74[/C][C]102.136305352918[/C][C]0.217530847273537[/C][/ROW]
[ROW][C]0.75[/C][C]102.201601825525[/C][C]0.301666649720488[/C][/ROW]
[ROW][C]0.76[/C][C]102.292931661354[/C][C]0.414287915248211[/C][/ROW]
[ROW][C]0.77[/C][C]102.419323833158[/C][C]0.56355177918264[/C][/ROW]
[ROW][C]0.78[/C][C]102.592018861553[/C][C]0.758280972797097[/C][/ROW]
[ROW][C]0.79[/C][C]102.824207659399[/C][C]1.00557749958973[/C][/ROW]
[ROW][C]0.8[/C][C]103.129974208053[/C][C]1.30716797765043[/C][/ROW]
[ROW][C]0.81[/C][C]103.522146044644[/C][C]1.65426112287417[/C][/ROW]
[ROW][C]0.82[/C][C]104.009016716834[/C][C]2.02322453318108[/C][/ROW]
[ROW][C]0.83[/C][C]104.590392038002[/C][C]2.37412318235031[/C][/ROW]
[ROW][C]0.84[/C][C]105.254008494299[/C][C]2.65435411428279[/C][/ROW]
[ROW][C]0.85[/C][C]105.973800160715[/C][C]2.80929969250953[/C][/ROW]
[ROW][C]0.86[/C][C]106.711401396983[/C][C]2.79713260315821[/C][/ROW]
[ROW][C]0.87[/C][C]107.421449408849[/C][C]2.60369391581782[/C][/ROW]
[ROW][C]0.88[/C][C]108.059833503939[/C][C]2.25138476808778[/C][/ROW]
[ROW][C]0.89[/C][C]108.592598610548[/C][C]1.79584017855463[/C][/ROW]
[ROW][C]0.9[/C][C]109.002537616498[/C][C]1.31111053844144[/C][/ROW]
[ROW][C]0.91[/C][C]109.291141163008[/C][C]0.868139723050496[/C][/ROW]
[ROW][C]0.92[/C][C]109.475374806177[/C][C]0.515586959006666[/C][/ROW]
[ROW][C]0.93[/C][C]109.580855088534[/C][C]0.270871044054459[/C][/ROW]
[ROW][C]0.94[/C][C]109.634280586336[/C][C]0.123620622618289[/C][/ROW]
[ROW][C]0.95[/C][C]109.6577949709[/C][C]0.0478315268887709[/C][/ROW]
[ROW][C]0.96[/C][C]109.666571502707[/C][C]0.0151258687430963[/C][/ROW]
[ROW][C]0.97[/C][C]109.669252630578[/C][C]0.00369700717149141[/C][/ROW]
[ROW][C]0.98[/C][C]109.669886279747[/C][C]0.000632382805649846[/C][/ROW]
[ROW][C]0.99[/C][C]109.669990719279[/C][C]4.86448312038343e-05[/C][/ROW]
[ROW][C]1[/C][C]109.67[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212550&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212550&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.43068012302530.0389994446373266
0.0299.47338030132360.142667481549046
0.0399.56684552064890.281994958413844
0.0499.71108067813860.393018455522822
0.0599.8853257518790.43092455006457
0.06100.0601728609290.395766166521877
0.07100.2118869557190.318174408888266
0.08100.3294397378610.232405840970694
0.09100.4134621014380.161102660331446
0.1100.4714031814450.114213300647574
0.11100.5128957986240.0950840914413234
0.12100.546907658650.102019773218328
0.13100.5804818939660.127028744282828
0.14100.6183597461890.161114315962704
0.15100.6629800935910.196681051554083
0.16100.7146686965550.227187328129096
0.17100.7720034334950.247240618796441
0.18100.8323591694260.253788679617848
0.19100.8925763354980.246327881622299
0.2100.9496384124520.227062809308458
0.21101.0012287057930.199823717196367
0.22101.0460717658250.169595248586578
0.23101.0840285583790.141145411310993
0.24101.1159771488740.118778869249241
0.25101.1435497371870.106065890071244
0.26101.1688054643680.104909949053914
0.27101.1939037351690.115009836151302
0.28101.2208187255690.133841914866726
0.29101.2511146090280.158353109452252
0.3101.2857888231270.185189985070455
0.31101.325186648390.211205901007184
0.32101.3689897411560.233263397788431
0.33101.4162790280520.248783752345684
0.34101.4656659725370.256015747986537
0.35101.515476466910.253959938894249
0.36101.5639617908120.242976441517845
0.37101.6095051610470.224189603620857
0.38101.6507930926170.199617243231682
0.39101.6869284433270.171483315121592
0.4101.7174745622910.142290742896156
0.41101.7424338464150.114078102874979
0.42101.762175536710.088495280857644
0.43101.7773341661760.0666789896453415
0.44101.7887008715230.049052743418532
0.45101.7971256870190.0357412065408289
0.46101.8034419588410.026581546423329
0.47101.8084164705070.0213400733522263
0.48101.812722669760.0197155567862906
0.49101.8169306389560.0210869881849828
0.5101.8215063784680.0247767169390946
0.51101.8268141019950.029927221188507
0.52101.8331177017320.0360444708929242
0.53101.8405803589720.0425750501744641
0.54101.8492636174490.0490860855510325
0.55101.8591285565770.0549602638333288
0.56101.8700418124110.0598508201184012
0.57101.8817882616220.0634006512370456
0.58101.8940906468620.0652839644020932
0.59101.9066348510180.0654599526750344
0.6101.9190984507150.0639680122249236
0.61101.9311799253430.0609806201308259
0.62101.9426265109230.0567964102859684
0.63101.9532599399620.0518928991375326
0.64101.9630008010560.0466765490855087
0.65101.971893566880.0417355867129277
0.66101.9801351755730.0378706281370668
0.67101.9881103148430.0360053583248593
0.68101.9964364042460.0375279130866611
0.69102.0060211110170.0440377748215165
0.7102.0181357259720.0571457641178428
0.71102.0345096595350.0785897173155496
0.72102.0574552333680.110404909506346
0.73102.090037248320.155512552036689
0.74102.1363053529180.217530847273537
0.75102.2016018255250.301666649720488
0.76102.2929316613540.414287915248211
0.77102.4193238331580.56355177918264
0.78102.5920188615530.758280972797097
0.79102.8242076593991.00557749958973
0.8103.1299742080531.30716797765043
0.81103.5221460446441.65426112287417
0.82104.0090167168342.02322453318108
0.83104.5903920380022.37412318235031
0.84105.2540084942992.65435411428279
0.85105.9738001607152.80929969250953
0.86106.7114013969832.79713260315821
0.87107.4214494088492.60369391581782
0.88108.0598335039392.25138476808778
0.89108.5925986105481.79584017855463
0.9109.0025376164981.31111053844144
0.91109.2911411630080.868139723050496
0.92109.4753748061770.515586959006666
0.93109.5808550885340.270871044054459
0.94109.6342805863360.123620622618289
0.95109.65779497090.0478315268887709
0.96109.6665715027070.0151258687430963
0.97109.6692526305780.00369700717149141
0.98109.6698862797470.000632382805649846
0.99109.6699907192794.86448312038343e-05
1109.67NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.10'
par2 <- '1'
par1 <- '0.10'
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')