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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 14:06:43 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t12560692438wtq026l927xsdi.htm/, Retrieved Sun, 24 May 2026 15:28:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49113, Retrieved Sun, 24 May 2026 15:28:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact328

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] [Workshop 3, vraag...] [2009-10-20 20:06:43] [0875edf2b3e9b91e51327d1913579f76] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
107.3
107.2
107.2
105.7
105.7
104.9
104.8
104
104
103.6
103.6
103.6
103.6
104.2
104.2
104.7
104.7
104.7
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.2
106.4
106.4
106.4
107
107
107
107
106.1
106.3
106.2
106.2
106.3
106.3
106.2
107.1
105.2
103.4
102.4
100.6
100.6
100.6
99.8
100.2
101.4
101
100.6
100

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49113&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49113&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.025100.0186384034440.248343219039695
0.035100.1420787627040.273645138494603
0.045100.2649459152750.283645645881675
0.055100.3825041122740.2876469620764
0.065100.495807424990.306830410601946
0.075100.6103082577250.360795314010323
0.085100.7340011268590.454433118464854
0.095100.8751260964020.578846202020188
0.105101.0399782026310.7185085484395
0.115101.2313887452430.856053762668837
0.125101.4481542158470.97487045854489
0.135101.6853770042881.06167054253427
0.145101.9354794901251.10815272132162
0.155102.1895694368541.11209930219296
0.165102.4388387664711.07705801677282
0.175102.6757385839481.01102246238179
0.185102.8947662815110.92479567573933
0.195103.0928041870180.829691639197175
0.205103.2690433657690.73627953623905
0.215103.4245945146470.652994395544458
0.225103.5619215597120.585006667670227
0.235103.6842329083120.534545258107492
0.245103.7949384236470.50096798473542
0.255103.8972393581640.481828181377224
0.265103.9938760061870.473270657301048
0.275104.0870229238390.472204682184726
0.285104.1782989585970.475824488534172
0.295104.2688495978620.482228815948254
0.305104.3594599886380.490587145491096
0.315104.4506648198200.500300833614253
0.325104.5428325132790.511403254588033
0.335104.6362129830670.523536274504792
0.345104.7309486703930.536504966343677
0.355104.8270565395470.549409499156524
0.365104.9243937147020.56122054815798
0.375105.0226213483130.570438157231008
0.385105.1211803561830.575521230144919
0.395105.2192893384850.57480945629837
0.405105.3159700975720.567208333895495
0.415105.4101006160180.55187527766778
0.425105.5004901768820.528647757564328
0.435105.5859673773710.497894598295439
0.445105.6654697109110.460550764849195
0.455105.7381233914740.418060302597125
0.465105.8033039869240.372223832829308
0.475105.8606717030980.324869441576033
0.485105.9101791086860.277845356536641
0.495105.9520529678620.232738315478535
0.505105.9867550199810.190921096598119
0.515106.0149285952960.153353156969648
0.525106.0373387232150.120633108358802
0.535106.0548129597590.0929479533066857
0.545106.0681888028990.0702068656080587
0.555106.0782716490330.0521523459766406
0.565106.0858051587450.0383261055693309
0.575106.0914539808440.0281672568920806
0.585106.0957972710950.0212786817756675
0.595106.0993304662640.0172998902716274
0.605106.1024723620720.0159261521931521
0.615106.1055746408310.0167246858419361
0.625106.1089314910850.0191925954264121
0.635106.1127877175630.0228427531022328
0.645106.1173446049260.0274198897980978
0.655106.1227636297470.032619052443922
0.665106.1291687899280.0382347795373551
0.675106.1366487551630.0440640130028354
0.685106.1452602036290.0499538200766067
0.695106.1550336255150.0556736087809277
0.705106.1659826209600.0611729263126805
0.715106.1781173965830.0664614588641138
0.725106.1914628375890.0715209669959357
0.735106.2060811753060.0766492846437009
0.745106.2220987202610.0820537279172752
0.755106.2397351013710.08825509619514
0.765106.2593316334940.0958486071871904
0.775106.2813727092330.105616241421876
0.785106.3064908346240.118333893004644
0.795106.3354431986590.134683926872752
0.805106.3690473716570.154941695822268
0.815106.4080681762920.178716716406711
0.825106.4530587555770.204706745352678
0.835106.5041762185760.230640298203319
0.845106.5610124522060.253446193039824
0.855106.6224963005490.269743918868168
0.865106.6869243000270.276473446508161
0.875106.7521546892290.271691058586427
0.885106.8159515265940.255437532396348
0.895106.8764028132530.229909987607109
0.905106.9322831813520.199225882047647
0.915106.9832219760740.168410641644201
0.925107.0296006362310.141877461372712
0.935107.0722394280200.121384690845017
0.945107.1120826816540.105346911132176
0.955107.1501111400270.0907651086784424
0.965107.1874206187160.0772765505279644
0.975107.2248222575640.070379236559608

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 100.018638403444 & 0.248343219039695 \tabularnewline
0.035 & 100.142078762704 & 0.273645138494603 \tabularnewline
0.045 & 100.264945915275 & 0.283645645881675 \tabularnewline
0.055 & 100.382504112274 & 0.2876469620764 \tabularnewline
0.065 & 100.49580742499 & 0.306830410601946 \tabularnewline
0.075 & 100.610308257725 & 0.360795314010323 \tabularnewline
0.085 & 100.734001126859 & 0.454433118464854 \tabularnewline
0.095 & 100.875126096402 & 0.578846202020188 \tabularnewline
0.105 & 101.039978202631 & 0.7185085484395 \tabularnewline
0.115 & 101.231388745243 & 0.856053762668837 \tabularnewline
0.125 & 101.448154215847 & 0.97487045854489 \tabularnewline
0.135 & 101.685377004288 & 1.06167054253427 \tabularnewline
0.145 & 101.935479490125 & 1.10815272132162 \tabularnewline
0.155 & 102.189569436854 & 1.11209930219296 \tabularnewline
0.165 & 102.438838766471 & 1.07705801677282 \tabularnewline
0.175 & 102.675738583948 & 1.01102246238179 \tabularnewline
0.185 & 102.894766281511 & 0.92479567573933 \tabularnewline
0.195 & 103.092804187018 & 0.829691639197175 \tabularnewline
0.205 & 103.269043365769 & 0.73627953623905 \tabularnewline
0.215 & 103.424594514647 & 0.652994395544458 \tabularnewline
0.225 & 103.561921559712 & 0.585006667670227 \tabularnewline
0.235 & 103.684232908312 & 0.534545258107492 \tabularnewline
0.245 & 103.794938423647 & 0.50096798473542 \tabularnewline
0.255 & 103.897239358164 & 0.481828181377224 \tabularnewline
0.265 & 103.993876006187 & 0.473270657301048 \tabularnewline
0.275 & 104.087022923839 & 0.472204682184726 \tabularnewline
0.285 & 104.178298958597 & 0.475824488534172 \tabularnewline
0.295 & 104.268849597862 & 0.482228815948254 \tabularnewline
0.305 & 104.359459988638 & 0.490587145491096 \tabularnewline
0.315 & 104.450664819820 & 0.500300833614253 \tabularnewline
0.325 & 104.542832513279 & 0.511403254588033 \tabularnewline
0.335 & 104.636212983067 & 0.523536274504792 \tabularnewline
0.345 & 104.730948670393 & 0.536504966343677 \tabularnewline
0.355 & 104.827056539547 & 0.549409499156524 \tabularnewline
0.365 & 104.924393714702 & 0.56122054815798 \tabularnewline
0.375 & 105.022621348313 & 0.570438157231008 \tabularnewline
0.385 & 105.121180356183 & 0.575521230144919 \tabularnewline
0.395 & 105.219289338485 & 0.57480945629837 \tabularnewline
0.405 & 105.315970097572 & 0.567208333895495 \tabularnewline
0.415 & 105.410100616018 & 0.55187527766778 \tabularnewline
0.425 & 105.500490176882 & 0.528647757564328 \tabularnewline
0.435 & 105.585967377371 & 0.497894598295439 \tabularnewline
0.445 & 105.665469710911 & 0.460550764849195 \tabularnewline
0.455 & 105.738123391474 & 0.418060302597125 \tabularnewline
0.465 & 105.803303986924 & 0.372223832829308 \tabularnewline
0.475 & 105.860671703098 & 0.324869441576033 \tabularnewline
0.485 & 105.910179108686 & 0.277845356536641 \tabularnewline
0.495 & 105.952052967862 & 0.232738315478535 \tabularnewline
0.505 & 105.986755019981 & 0.190921096598119 \tabularnewline
0.515 & 106.014928595296 & 0.153353156969648 \tabularnewline
0.525 & 106.037338723215 & 0.120633108358802 \tabularnewline
0.535 & 106.054812959759 & 0.0929479533066857 \tabularnewline
0.545 & 106.068188802899 & 0.0702068656080587 \tabularnewline
0.555 & 106.078271649033 & 0.0521523459766406 \tabularnewline
0.565 & 106.085805158745 & 0.0383261055693309 \tabularnewline
0.575 & 106.091453980844 & 0.0281672568920806 \tabularnewline
0.585 & 106.095797271095 & 0.0212786817756675 \tabularnewline
0.595 & 106.099330466264 & 0.0172998902716274 \tabularnewline
0.605 & 106.102472362072 & 0.0159261521931521 \tabularnewline
0.615 & 106.105574640831 & 0.0167246858419361 \tabularnewline
0.625 & 106.108931491085 & 0.0191925954264121 \tabularnewline
0.635 & 106.112787717563 & 0.0228427531022328 \tabularnewline
0.645 & 106.117344604926 & 0.0274198897980978 \tabularnewline
0.655 & 106.122763629747 & 0.032619052443922 \tabularnewline
0.665 & 106.129168789928 & 0.0382347795373551 \tabularnewline
0.675 & 106.136648755163 & 0.0440640130028354 \tabularnewline
0.685 & 106.145260203629 & 0.0499538200766067 \tabularnewline
0.695 & 106.155033625515 & 0.0556736087809277 \tabularnewline
0.705 & 106.165982620960 & 0.0611729263126805 \tabularnewline
0.715 & 106.178117396583 & 0.0664614588641138 \tabularnewline
0.725 & 106.191462837589 & 0.0715209669959357 \tabularnewline
0.735 & 106.206081175306 & 0.0766492846437009 \tabularnewline
0.745 & 106.222098720261 & 0.0820537279172752 \tabularnewline
0.755 & 106.239735101371 & 0.08825509619514 \tabularnewline
0.765 & 106.259331633494 & 0.0958486071871904 \tabularnewline
0.775 & 106.281372709233 & 0.105616241421876 \tabularnewline
0.785 & 106.306490834624 & 0.118333893004644 \tabularnewline
0.795 & 106.335443198659 & 0.134683926872752 \tabularnewline
0.805 & 106.369047371657 & 0.154941695822268 \tabularnewline
0.815 & 106.408068176292 & 0.178716716406711 \tabularnewline
0.825 & 106.453058755577 & 0.204706745352678 \tabularnewline
0.835 & 106.504176218576 & 0.230640298203319 \tabularnewline
0.845 & 106.561012452206 & 0.253446193039824 \tabularnewline
0.855 & 106.622496300549 & 0.269743918868168 \tabularnewline
0.865 & 106.686924300027 & 0.276473446508161 \tabularnewline
0.875 & 106.752154689229 & 0.271691058586427 \tabularnewline
0.885 & 106.815951526594 & 0.255437532396348 \tabularnewline
0.895 & 106.876402813253 & 0.229909987607109 \tabularnewline
0.905 & 106.932283181352 & 0.199225882047647 \tabularnewline
0.915 & 106.983221976074 & 0.168410641644201 \tabularnewline
0.925 & 107.029600636231 & 0.141877461372712 \tabularnewline
0.935 & 107.072239428020 & 0.121384690845017 \tabularnewline
0.945 & 107.112082681654 & 0.105346911132176 \tabularnewline
0.955 & 107.150111140027 & 0.0907651086784424 \tabularnewline
0.965 & 107.187420618716 & 0.0772765505279644 \tabularnewline
0.975 & 107.224822257564 & 0.070379236559608 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49113&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]100.018638403444[/C][C]0.248343219039695[/C][/ROW]
[ROW][C]0.035[/C][C]100.142078762704[/C][C]0.273645138494603[/C][/ROW]
[ROW][C]0.045[/C][C]100.264945915275[/C][C]0.283645645881675[/C][/ROW]
[ROW][C]0.055[/C][C]100.382504112274[/C][C]0.2876469620764[/C][/ROW]
[ROW][C]0.065[/C][C]100.49580742499[/C][C]0.306830410601946[/C][/ROW]
[ROW][C]0.075[/C][C]100.610308257725[/C][C]0.360795314010323[/C][/ROW]
[ROW][C]0.085[/C][C]100.734001126859[/C][C]0.454433118464854[/C][/ROW]
[ROW][C]0.095[/C][C]100.875126096402[/C][C]0.578846202020188[/C][/ROW]
[ROW][C]0.105[/C][C]101.039978202631[/C][C]0.7185085484395[/C][/ROW]
[ROW][C]0.115[/C][C]101.231388745243[/C][C]0.856053762668837[/C][/ROW]
[ROW][C]0.125[/C][C]101.448154215847[/C][C]0.97487045854489[/C][/ROW]
[ROW][C]0.135[/C][C]101.685377004288[/C][C]1.06167054253427[/C][/ROW]
[ROW][C]0.145[/C][C]101.935479490125[/C][C]1.10815272132162[/C][/ROW]
[ROW][C]0.155[/C][C]102.189569436854[/C][C]1.11209930219296[/C][/ROW]
[ROW][C]0.165[/C][C]102.438838766471[/C][C]1.07705801677282[/C][/ROW]
[ROW][C]0.175[/C][C]102.675738583948[/C][C]1.01102246238179[/C][/ROW]
[ROW][C]0.185[/C][C]102.894766281511[/C][C]0.92479567573933[/C][/ROW]
[ROW][C]0.195[/C][C]103.092804187018[/C][C]0.829691639197175[/C][/ROW]
[ROW][C]0.205[/C][C]103.269043365769[/C][C]0.73627953623905[/C][/ROW]
[ROW][C]0.215[/C][C]103.424594514647[/C][C]0.652994395544458[/C][/ROW]
[ROW][C]0.225[/C][C]103.561921559712[/C][C]0.585006667670227[/C][/ROW]
[ROW][C]0.235[/C][C]103.684232908312[/C][C]0.534545258107492[/C][/ROW]
[ROW][C]0.245[/C][C]103.794938423647[/C][C]0.50096798473542[/C][/ROW]
[ROW][C]0.255[/C][C]103.897239358164[/C][C]0.481828181377224[/C][/ROW]
[ROW][C]0.265[/C][C]103.993876006187[/C][C]0.473270657301048[/C][/ROW]
[ROW][C]0.275[/C][C]104.087022923839[/C][C]0.472204682184726[/C][/ROW]
[ROW][C]0.285[/C][C]104.178298958597[/C][C]0.475824488534172[/C][/ROW]
[ROW][C]0.295[/C][C]104.268849597862[/C][C]0.482228815948254[/C][/ROW]
[ROW][C]0.305[/C][C]104.359459988638[/C][C]0.490587145491096[/C][/ROW]
[ROW][C]0.315[/C][C]104.450664819820[/C][C]0.500300833614253[/C][/ROW]
[ROW][C]0.325[/C][C]104.542832513279[/C][C]0.511403254588033[/C][/ROW]
[ROW][C]0.335[/C][C]104.636212983067[/C][C]0.523536274504792[/C][/ROW]
[ROW][C]0.345[/C][C]104.730948670393[/C][C]0.536504966343677[/C][/ROW]
[ROW][C]0.355[/C][C]104.827056539547[/C][C]0.549409499156524[/C][/ROW]
[ROW][C]0.365[/C][C]104.924393714702[/C][C]0.56122054815798[/C][/ROW]
[ROW][C]0.375[/C][C]105.022621348313[/C][C]0.570438157231008[/C][/ROW]
[ROW][C]0.385[/C][C]105.121180356183[/C][C]0.575521230144919[/C][/ROW]
[ROW][C]0.395[/C][C]105.219289338485[/C][C]0.57480945629837[/C][/ROW]
[ROW][C]0.405[/C][C]105.315970097572[/C][C]0.567208333895495[/C][/ROW]
[ROW][C]0.415[/C][C]105.410100616018[/C][C]0.55187527766778[/C][/ROW]
[ROW][C]0.425[/C][C]105.500490176882[/C][C]0.528647757564328[/C][/ROW]
[ROW][C]0.435[/C][C]105.585967377371[/C][C]0.497894598295439[/C][/ROW]
[ROW][C]0.445[/C][C]105.665469710911[/C][C]0.460550764849195[/C][/ROW]
[ROW][C]0.455[/C][C]105.738123391474[/C][C]0.418060302597125[/C][/ROW]
[ROW][C]0.465[/C][C]105.803303986924[/C][C]0.372223832829308[/C][/ROW]
[ROW][C]0.475[/C][C]105.860671703098[/C][C]0.324869441576033[/C][/ROW]
[ROW][C]0.485[/C][C]105.910179108686[/C][C]0.277845356536641[/C][/ROW]
[ROW][C]0.495[/C][C]105.952052967862[/C][C]0.232738315478535[/C][/ROW]
[ROW][C]0.505[/C][C]105.986755019981[/C][C]0.190921096598119[/C][/ROW]
[ROW][C]0.515[/C][C]106.014928595296[/C][C]0.153353156969648[/C][/ROW]
[ROW][C]0.525[/C][C]106.037338723215[/C][C]0.120633108358802[/C][/ROW]
[ROW][C]0.535[/C][C]106.054812959759[/C][C]0.0929479533066857[/C][/ROW]
[ROW][C]0.545[/C][C]106.068188802899[/C][C]0.0702068656080587[/C][/ROW]
[ROW][C]0.555[/C][C]106.078271649033[/C][C]0.0521523459766406[/C][/ROW]
[ROW][C]0.565[/C][C]106.085805158745[/C][C]0.0383261055693309[/C][/ROW]
[ROW][C]0.575[/C][C]106.091453980844[/C][C]0.0281672568920806[/C][/ROW]
[ROW][C]0.585[/C][C]106.095797271095[/C][C]0.0212786817756675[/C][/ROW]
[ROW][C]0.595[/C][C]106.099330466264[/C][C]0.0172998902716274[/C][/ROW]
[ROW][C]0.605[/C][C]106.102472362072[/C][C]0.0159261521931521[/C][/ROW]
[ROW][C]0.615[/C][C]106.105574640831[/C][C]0.0167246858419361[/C][/ROW]
[ROW][C]0.625[/C][C]106.108931491085[/C][C]0.0191925954264121[/C][/ROW]
[ROW][C]0.635[/C][C]106.112787717563[/C][C]0.0228427531022328[/C][/ROW]
[ROW][C]0.645[/C][C]106.117344604926[/C][C]0.0274198897980978[/C][/ROW]
[ROW][C]0.655[/C][C]106.122763629747[/C][C]0.032619052443922[/C][/ROW]
[ROW][C]0.665[/C][C]106.129168789928[/C][C]0.0382347795373551[/C][/ROW]
[ROW][C]0.675[/C][C]106.136648755163[/C][C]0.0440640130028354[/C][/ROW]
[ROW][C]0.685[/C][C]106.145260203629[/C][C]0.0499538200766067[/C][/ROW]
[ROW][C]0.695[/C][C]106.155033625515[/C][C]0.0556736087809277[/C][/ROW]
[ROW][C]0.705[/C][C]106.165982620960[/C][C]0.0611729263126805[/C][/ROW]
[ROW][C]0.715[/C][C]106.178117396583[/C][C]0.0664614588641138[/C][/ROW]
[ROW][C]0.725[/C][C]106.191462837589[/C][C]0.0715209669959357[/C][/ROW]
[ROW][C]0.735[/C][C]106.206081175306[/C][C]0.0766492846437009[/C][/ROW]
[ROW][C]0.745[/C][C]106.222098720261[/C][C]0.0820537279172752[/C][/ROW]
[ROW][C]0.755[/C][C]106.239735101371[/C][C]0.08825509619514[/C][/ROW]
[ROW][C]0.765[/C][C]106.259331633494[/C][C]0.0958486071871904[/C][/ROW]
[ROW][C]0.775[/C][C]106.281372709233[/C][C]0.105616241421876[/C][/ROW]
[ROW][C]0.785[/C][C]106.306490834624[/C][C]0.118333893004644[/C][/ROW]
[ROW][C]0.795[/C][C]106.335443198659[/C][C]0.134683926872752[/C][/ROW]
[ROW][C]0.805[/C][C]106.369047371657[/C][C]0.154941695822268[/C][/ROW]
[ROW][C]0.815[/C][C]106.408068176292[/C][C]0.178716716406711[/C][/ROW]
[ROW][C]0.825[/C][C]106.453058755577[/C][C]0.204706745352678[/C][/ROW]
[ROW][C]0.835[/C][C]106.504176218576[/C][C]0.230640298203319[/C][/ROW]
[ROW][C]0.845[/C][C]106.561012452206[/C][C]0.253446193039824[/C][/ROW]
[ROW][C]0.855[/C][C]106.622496300549[/C][C]0.269743918868168[/C][/ROW]
[ROW][C]0.865[/C][C]106.686924300027[/C][C]0.276473446508161[/C][/ROW]
[ROW][C]0.875[/C][C]106.752154689229[/C][C]0.271691058586427[/C][/ROW]
[ROW][C]0.885[/C][C]106.815951526594[/C][C]0.255437532396348[/C][/ROW]
[ROW][C]0.895[/C][C]106.876402813253[/C][C]0.229909987607109[/C][/ROW]
[ROW][C]0.905[/C][C]106.932283181352[/C][C]0.199225882047647[/C][/ROW]
[ROW][C]0.915[/C][C]106.983221976074[/C][C]0.168410641644201[/C][/ROW]
[ROW][C]0.925[/C][C]107.029600636231[/C][C]0.141877461372712[/C][/ROW]
[ROW][C]0.935[/C][C]107.072239428020[/C][C]0.121384690845017[/C][/ROW]
[ROW][C]0.945[/C][C]107.112082681654[/C][C]0.105346911132176[/C][/ROW]
[ROW][C]0.955[/C][C]107.150111140027[/C][C]0.0907651086784424[/C][/ROW]
[ROW][C]0.965[/C][C]107.187420618716[/C][C]0.0772765505279644[/C][/ROW]
[ROW][C]0.975[/C][C]107.224822257564[/C][C]0.070379236559608[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49113&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49113&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
0.025100.0186384034440.248343219039695
0.035100.1420787627040.273645138494603
0.045100.2649459152750.283645645881675
0.055100.3825041122740.2876469620764
0.065100.495807424990.306830410601946
0.075100.6103082577250.360795314010323
0.085100.7340011268590.454433118464854
0.095100.8751260964020.578846202020188
0.105101.0399782026310.7185085484395
0.115101.2313887452430.856053762668837
0.125101.4481542158470.97487045854489
0.135101.6853770042881.06167054253427
0.145101.9354794901251.10815272132162
0.155102.1895694368541.11209930219296
0.165102.4388387664711.07705801677282
0.175102.6757385839481.01102246238179
0.185102.8947662815110.92479567573933
0.195103.0928041870180.829691639197175
0.205103.2690433657690.73627953623905
0.215103.4245945146470.652994395544458
0.225103.5619215597120.585006667670227
0.235103.6842329083120.534545258107492
0.245103.7949384236470.50096798473542
0.255103.8972393581640.481828181377224
0.265103.9938760061870.473270657301048
0.275104.0870229238390.472204682184726
0.285104.1782989585970.475824488534172
0.295104.2688495978620.482228815948254
0.305104.3594599886380.490587145491096
0.315104.4506648198200.500300833614253
0.325104.5428325132790.511403254588033
0.335104.6362129830670.523536274504792
0.345104.7309486703930.536504966343677
0.355104.8270565395470.549409499156524
0.365104.9243937147020.56122054815798
0.375105.0226213483130.570438157231008
0.385105.1211803561830.575521230144919
0.395105.2192893384850.57480945629837
0.405105.3159700975720.567208333895495
0.415105.4101006160180.55187527766778
0.425105.5004901768820.528647757564328
0.435105.5859673773710.497894598295439
0.445105.6654697109110.460550764849195
0.455105.7381233914740.418060302597125
0.465105.8033039869240.372223832829308
0.475105.8606717030980.324869441576033
0.485105.9101791086860.277845356536641
0.495105.9520529678620.232738315478535
0.505105.9867550199810.190921096598119
0.515106.0149285952960.153353156969648
0.525106.0373387232150.120633108358802
0.535106.0548129597590.0929479533066857
0.545106.0681888028990.0702068656080587
0.555106.0782716490330.0521523459766406
0.565106.0858051587450.0383261055693309
0.575106.0914539808440.0281672568920806
0.585106.0957972710950.0212786817756675
0.595106.0993304662640.0172998902716274
0.605106.1024723620720.0159261521931521
0.615106.1055746408310.0167246858419361
0.625106.1089314910850.0191925954264121
0.635106.1127877175630.0228427531022328
0.645106.1173446049260.0274198897980978
0.655106.1227636297470.032619052443922
0.665106.1291687899280.0382347795373551
0.675106.1366487551630.0440640130028354
0.685106.1452602036290.0499538200766067
0.695106.1550336255150.0556736087809277
0.705106.1659826209600.0611729263126805
0.715106.1781173965830.0664614588641138
0.725106.1914628375890.0715209669959357
0.735106.2060811753060.0766492846437009
0.745106.2220987202610.0820537279172752
0.755106.2397351013710.08825509619514
0.765106.2593316334940.0958486071871904
0.775106.2813727092330.105616241421876
0.785106.3064908346240.118333893004644
0.795106.3354431986590.134683926872752
0.805106.3690473716570.154941695822268
0.815106.4080681762920.178716716406711
0.825106.4530587555770.204706745352678
0.835106.5041762185760.230640298203319
0.845106.5610124522060.253446193039824
0.855106.6224963005490.269743918868168
0.865106.6869243000270.276473446508161
0.875106.7521546892290.271691058586427
0.885106.8159515265940.255437532396348
0.895106.8764028132530.229909987607109
0.905106.9322831813520.199225882047647
0.915106.9832219760740.168410641644201
0.925107.0296006362310.141877461372712
0.935107.0722394280200.121384690845017
0.945107.1120826816540.105346911132176
0.955107.1501111400270.0907651086784424
0.965107.1874206187160.0772765505279644
0.975107.2248222575640.070379236559608


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')