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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 computationSat, 04 Oct 2014 13:28:55 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/04/t1412425847tclfrgp02tczwt6.htm/, Retrieved Sun, 12 May 2024 16:18:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238566, Retrieved Sun, 12 May 2024 16:18:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [Percentielen prij...] [2014-10-04 12:28:55] [34904d4daa687a283c33410e9d0f3c21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.53
4.53
4.53
4.61
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.66
4.7
4.72
4.73
4.73
4.74
4.74
4.74
4.76
4.88
4.88
4.88
4.88
4.89
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.98
5
5.03
5.04
5.04
5.05
5.05
5.05
5.06
5.06
5.06
5.07
5.09
5.18
5.23
5.25
5.26
5.28
5.29
5.29
5.29
5.29
5.3
5.3
5.3
5.32
5.33
5.33
5.37
5.45
5.47
5.5
5.51

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' @ 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=238566&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=238566&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238566&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.532212932439060.00753324016767167
0.024.538844124496320.0212869831174025
0.034.550667448406640.0345643046068076
0.044.566248183516160.0412118020414788
0.054.582836873008760.0397502776726193
0.064.597825532629430.032700142706956
0.074.609693159255870.023743972812585
0.084.61813371691010.0156483626087911
0.094.623668600121010.00970915021482215
0.14.627163184624030.00622039518959701
0.114.629489417109730.00518722218591421
0.124.631375494946090.00635399065656963
0.134.633381033529640.00906911210392754
0.144.635923007067740.0129327443083883
0.154.639304754402080.017690625820792
0.164.643730781030120.0230374513358024
0.174.649309579843250.028597995372785
0.184.656054368824070.033960115103991
0.194.663891178713270.038760411382856
0.24.672679037613390.0427634254723292
0.214.682241168881330.0459006923180065
0.224.692401349058830.0483128213951007
0.234.703017214250260.0502970911247161
0.244.714002787294350.0522314897357554
0.254.725335368390760.05448739704026
0.264.737046084580180.0572977294279568
0.274.749197479758940.0606821212570094
0.284.761854383766560.0644789640959834
0.294.775055267537860.0683696224898863
0.34.788790338730120.0719625129165637
0.314.802990271959560.0748753612330263
0.324.817526531000440.0768048509628963
0.334.832221588938360.0775466883416912
0.344.846865625197450.0770068316800127
0.354.861235741437930.0752207617605211
0.364.875114269616190.072277099956778
0.374.888303941905210.0683452529036638
0.384.900639046395090.0636142803644839
0.394.911992772085980.0582922827149897
0.44.922281514991640.0525896680908075
0.414.931466964996920.0467315168125257
0.424.939556486879760.0409473235169174
0.434.946601890444390.0354613681759404
0.444.952696368923580.030488247696844
0.454.957969292713120.0262402323826939
0.464.962578688240670.0228991248067237
0.474.966701537978820.0206133723866229
0.484.970522401567370.0194781165218397
0.494.974221183945950.0194452352453091
0.54.977961102960740.0203637520247895
0.514.981878010931650.0219836805640663
0.524.986072200248290.0240245882846455
0.534.990603678220730.0262190484739955
0.544.995491636923170.0283180572953513
0.555.000718477099040.0301300799252747
0.565.006238288695120.0315189978189121
0.575.011989178868280.0324265542446337
0.585.01790832388520.0328845262327133
0.595.023948167227930.033017130624254
0.65.030091854086560.0330421968800021
0.615.036365832594010.0332528145770654
0.625.042847600434380.033999388712026
0.635.049666856764210.0356084139153587
0.645.056998852667380.0383655863018998
0.655.065049529022290.0423928610282788
0.665.074033074248730.0476378076090376
0.675.084143758300670.0538764404642122
0.685.095525154709610.0606987727178838
0.695.108240911838780.0675787174208082
0.75.122251782486190.0739247711598645
0.715.137403390289790.0791087786789834
0.725.153428047074670.0825749280891959
0.735.169961900732140.0839017318114338
0.745.186576112329550.0828709056288163
0.755.202818172925750.0795060788735181
0.765.218257494502380.0740483535574277
0.775.232528559811330.0669501627260507
0.785.245365432145710.0587920164411413
0.795.256623187210930.0502197866479314
0.85.266284392553370.0418482683271461
0.815.274451512901840.0342161845764695
0.825.281328490602650.0277314826851176
0.835.287196391779490.0226860314573287
0.845.292388862324380.0192430654172891
0.855.297273300686670.0174604929574864
0.865.302243029752740.0172895709664015
0.875.307723608673510.0186208821886539
0.885.314191282569410.0214028549186718
0.895.322192048235660.0257218634371885
0.95.332337018202220.031704688366467
0.915.345240419442970.0392359589593691
0.925.361373758988840.0476017201430772
0.935.380846093165810.0552683208932316
0.945.403181865149630.0600669371166479
0.955.4272179202790.0599452314951386
0.965.451220781942440.0540013589380939
0.975.473204383042140.0431180362911349
0.985.491276822902020.0296069693337894
0.995.503857495893620.0168520597871275

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.53221293243906 & 0.00753324016767167 \tabularnewline
0.02 & 4.53884412449632 & 0.0212869831174025 \tabularnewline
0.03 & 4.55066744840664 & 0.0345643046068076 \tabularnewline
0.04 & 4.56624818351616 & 0.0412118020414788 \tabularnewline
0.05 & 4.58283687300876 & 0.0397502776726193 \tabularnewline
0.06 & 4.59782553262943 & 0.032700142706956 \tabularnewline
0.07 & 4.60969315925587 & 0.023743972812585 \tabularnewline
0.08 & 4.6181337169101 & 0.0156483626087911 \tabularnewline
0.09 & 4.62366860012101 & 0.00970915021482215 \tabularnewline
0.1 & 4.62716318462403 & 0.00622039518959701 \tabularnewline
0.11 & 4.62948941710973 & 0.00518722218591421 \tabularnewline
0.12 & 4.63137549494609 & 0.00635399065656963 \tabularnewline
0.13 & 4.63338103352964 & 0.00906911210392754 \tabularnewline
0.14 & 4.63592300706774 & 0.0129327443083883 \tabularnewline
0.15 & 4.63930475440208 & 0.017690625820792 \tabularnewline
0.16 & 4.64373078103012 & 0.0230374513358024 \tabularnewline
0.17 & 4.64930957984325 & 0.028597995372785 \tabularnewline
0.18 & 4.65605436882407 & 0.033960115103991 \tabularnewline
0.19 & 4.66389117871327 & 0.038760411382856 \tabularnewline
0.2 & 4.67267903761339 & 0.0427634254723292 \tabularnewline
0.21 & 4.68224116888133 & 0.0459006923180065 \tabularnewline
0.22 & 4.69240134905883 & 0.0483128213951007 \tabularnewline
0.23 & 4.70301721425026 & 0.0502970911247161 \tabularnewline
0.24 & 4.71400278729435 & 0.0522314897357554 \tabularnewline
0.25 & 4.72533536839076 & 0.05448739704026 \tabularnewline
0.26 & 4.73704608458018 & 0.0572977294279568 \tabularnewline
0.27 & 4.74919747975894 & 0.0606821212570094 \tabularnewline
0.28 & 4.76185438376656 & 0.0644789640959834 \tabularnewline
0.29 & 4.77505526753786 & 0.0683696224898863 \tabularnewline
0.3 & 4.78879033873012 & 0.0719625129165637 \tabularnewline
0.31 & 4.80299027195956 & 0.0748753612330263 \tabularnewline
0.32 & 4.81752653100044 & 0.0768048509628963 \tabularnewline
0.33 & 4.83222158893836 & 0.0775466883416912 \tabularnewline
0.34 & 4.84686562519745 & 0.0770068316800127 \tabularnewline
0.35 & 4.86123574143793 & 0.0752207617605211 \tabularnewline
0.36 & 4.87511426961619 & 0.072277099956778 \tabularnewline
0.37 & 4.88830394190521 & 0.0683452529036638 \tabularnewline
0.38 & 4.90063904639509 & 0.0636142803644839 \tabularnewline
0.39 & 4.91199277208598 & 0.0582922827149897 \tabularnewline
0.4 & 4.92228151499164 & 0.0525896680908075 \tabularnewline
0.41 & 4.93146696499692 & 0.0467315168125257 \tabularnewline
0.42 & 4.93955648687976 & 0.0409473235169174 \tabularnewline
0.43 & 4.94660189044439 & 0.0354613681759404 \tabularnewline
0.44 & 4.95269636892358 & 0.030488247696844 \tabularnewline
0.45 & 4.95796929271312 & 0.0262402323826939 \tabularnewline
0.46 & 4.96257868824067 & 0.0228991248067237 \tabularnewline
0.47 & 4.96670153797882 & 0.0206133723866229 \tabularnewline
0.48 & 4.97052240156737 & 0.0194781165218397 \tabularnewline
0.49 & 4.97422118394595 & 0.0194452352453091 \tabularnewline
0.5 & 4.97796110296074 & 0.0203637520247895 \tabularnewline
0.51 & 4.98187801093165 & 0.0219836805640663 \tabularnewline
0.52 & 4.98607220024829 & 0.0240245882846455 \tabularnewline
0.53 & 4.99060367822073 & 0.0262190484739955 \tabularnewline
0.54 & 4.99549163692317 & 0.0283180572953513 \tabularnewline
0.55 & 5.00071847709904 & 0.0301300799252747 \tabularnewline
0.56 & 5.00623828869512 & 0.0315189978189121 \tabularnewline
0.57 & 5.01198917886828 & 0.0324265542446337 \tabularnewline
0.58 & 5.0179083238852 & 0.0328845262327133 \tabularnewline
0.59 & 5.02394816722793 & 0.033017130624254 \tabularnewline
0.6 & 5.03009185408656 & 0.0330421968800021 \tabularnewline
0.61 & 5.03636583259401 & 0.0332528145770654 \tabularnewline
0.62 & 5.04284760043438 & 0.033999388712026 \tabularnewline
0.63 & 5.04966685676421 & 0.0356084139153587 \tabularnewline
0.64 & 5.05699885266738 & 0.0383655863018998 \tabularnewline
0.65 & 5.06504952902229 & 0.0423928610282788 \tabularnewline
0.66 & 5.07403307424873 & 0.0476378076090376 \tabularnewline
0.67 & 5.08414375830067 & 0.0538764404642122 \tabularnewline
0.68 & 5.09552515470961 & 0.0606987727178838 \tabularnewline
0.69 & 5.10824091183878 & 0.0675787174208082 \tabularnewline
0.7 & 5.12225178248619 & 0.0739247711598645 \tabularnewline
0.71 & 5.13740339028979 & 0.0791087786789834 \tabularnewline
0.72 & 5.15342804707467 & 0.0825749280891959 \tabularnewline
0.73 & 5.16996190073214 & 0.0839017318114338 \tabularnewline
0.74 & 5.18657611232955 & 0.0828709056288163 \tabularnewline
0.75 & 5.20281817292575 & 0.0795060788735181 \tabularnewline
0.76 & 5.21825749450238 & 0.0740483535574277 \tabularnewline
0.77 & 5.23252855981133 & 0.0669501627260507 \tabularnewline
0.78 & 5.24536543214571 & 0.0587920164411413 \tabularnewline
0.79 & 5.25662318721093 & 0.0502197866479314 \tabularnewline
0.8 & 5.26628439255337 & 0.0418482683271461 \tabularnewline
0.81 & 5.27445151290184 & 0.0342161845764695 \tabularnewline
0.82 & 5.28132849060265 & 0.0277314826851176 \tabularnewline
0.83 & 5.28719639177949 & 0.0226860314573287 \tabularnewline
0.84 & 5.29238886232438 & 0.0192430654172891 \tabularnewline
0.85 & 5.29727330068667 & 0.0174604929574864 \tabularnewline
0.86 & 5.30224302975274 & 0.0172895709664015 \tabularnewline
0.87 & 5.30772360867351 & 0.0186208821886539 \tabularnewline
0.88 & 5.31419128256941 & 0.0214028549186718 \tabularnewline
0.89 & 5.32219204823566 & 0.0257218634371885 \tabularnewline
0.9 & 5.33233701820222 & 0.031704688366467 \tabularnewline
0.91 & 5.34524041944297 & 0.0392359589593691 \tabularnewline
0.92 & 5.36137375898884 & 0.0476017201430772 \tabularnewline
0.93 & 5.38084609316581 & 0.0552683208932316 \tabularnewline
0.94 & 5.40318186514963 & 0.0600669371166479 \tabularnewline
0.95 & 5.427217920279 & 0.0599452314951386 \tabularnewline
0.96 & 5.45122078194244 & 0.0540013589380939 \tabularnewline
0.97 & 5.47320438304214 & 0.0431180362911349 \tabularnewline
0.98 & 5.49127682290202 & 0.0296069693337894 \tabularnewline
0.99 & 5.50385749589362 & 0.0168520597871275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238566&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]4.53221293243906[/C][C]0.00753324016767167[/C][/ROW]
[ROW][C]0.02[/C][C]4.53884412449632[/C][C]0.0212869831174025[/C][/ROW]
[ROW][C]0.03[/C][C]4.55066744840664[/C][C]0.0345643046068076[/C][/ROW]
[ROW][C]0.04[/C][C]4.56624818351616[/C][C]0.0412118020414788[/C][/ROW]
[ROW][C]0.05[/C][C]4.58283687300876[/C][C]0.0397502776726193[/C][/ROW]
[ROW][C]0.06[/C][C]4.59782553262943[/C][C]0.032700142706956[/C][/ROW]
[ROW][C]0.07[/C][C]4.60969315925587[/C][C]0.023743972812585[/C][/ROW]
[ROW][C]0.08[/C][C]4.6181337169101[/C][C]0.0156483626087911[/C][/ROW]
[ROW][C]0.09[/C][C]4.62366860012101[/C][C]0.00970915021482215[/C][/ROW]
[ROW][C]0.1[/C][C]4.62716318462403[/C][C]0.00622039518959701[/C][/ROW]
[ROW][C]0.11[/C][C]4.62948941710973[/C][C]0.00518722218591421[/C][/ROW]
[ROW][C]0.12[/C][C]4.63137549494609[/C][C]0.00635399065656963[/C][/ROW]
[ROW][C]0.13[/C][C]4.63338103352964[/C][C]0.00906911210392754[/C][/ROW]
[ROW][C]0.14[/C][C]4.63592300706774[/C][C]0.0129327443083883[/C][/ROW]
[ROW][C]0.15[/C][C]4.63930475440208[/C][C]0.017690625820792[/C][/ROW]
[ROW][C]0.16[/C][C]4.64373078103012[/C][C]0.0230374513358024[/C][/ROW]
[ROW][C]0.17[/C][C]4.64930957984325[/C][C]0.028597995372785[/C][/ROW]
[ROW][C]0.18[/C][C]4.65605436882407[/C][C]0.033960115103991[/C][/ROW]
[ROW][C]0.19[/C][C]4.66389117871327[/C][C]0.038760411382856[/C][/ROW]
[ROW][C]0.2[/C][C]4.67267903761339[/C][C]0.0427634254723292[/C][/ROW]
[ROW][C]0.21[/C][C]4.68224116888133[/C][C]0.0459006923180065[/C][/ROW]
[ROW][C]0.22[/C][C]4.69240134905883[/C][C]0.0483128213951007[/C][/ROW]
[ROW][C]0.23[/C][C]4.70301721425026[/C][C]0.0502970911247161[/C][/ROW]
[ROW][C]0.24[/C][C]4.71400278729435[/C][C]0.0522314897357554[/C][/ROW]
[ROW][C]0.25[/C][C]4.72533536839076[/C][C]0.05448739704026[/C][/ROW]
[ROW][C]0.26[/C][C]4.73704608458018[/C][C]0.0572977294279568[/C][/ROW]
[ROW][C]0.27[/C][C]4.74919747975894[/C][C]0.0606821212570094[/C][/ROW]
[ROW][C]0.28[/C][C]4.76185438376656[/C][C]0.0644789640959834[/C][/ROW]
[ROW][C]0.29[/C][C]4.77505526753786[/C][C]0.0683696224898863[/C][/ROW]
[ROW][C]0.3[/C][C]4.78879033873012[/C][C]0.0719625129165637[/C][/ROW]
[ROW][C]0.31[/C][C]4.80299027195956[/C][C]0.0748753612330263[/C][/ROW]
[ROW][C]0.32[/C][C]4.81752653100044[/C][C]0.0768048509628963[/C][/ROW]
[ROW][C]0.33[/C][C]4.83222158893836[/C][C]0.0775466883416912[/C][/ROW]
[ROW][C]0.34[/C][C]4.84686562519745[/C][C]0.0770068316800127[/C][/ROW]
[ROW][C]0.35[/C][C]4.86123574143793[/C][C]0.0752207617605211[/C][/ROW]
[ROW][C]0.36[/C][C]4.87511426961619[/C][C]0.072277099956778[/C][/ROW]
[ROW][C]0.37[/C][C]4.88830394190521[/C][C]0.0683452529036638[/C][/ROW]
[ROW][C]0.38[/C][C]4.90063904639509[/C][C]0.0636142803644839[/C][/ROW]
[ROW][C]0.39[/C][C]4.91199277208598[/C][C]0.0582922827149897[/C][/ROW]
[ROW][C]0.4[/C][C]4.92228151499164[/C][C]0.0525896680908075[/C][/ROW]
[ROW][C]0.41[/C][C]4.93146696499692[/C][C]0.0467315168125257[/C][/ROW]
[ROW][C]0.42[/C][C]4.93955648687976[/C][C]0.0409473235169174[/C][/ROW]
[ROW][C]0.43[/C][C]4.94660189044439[/C][C]0.0354613681759404[/C][/ROW]
[ROW][C]0.44[/C][C]4.95269636892358[/C][C]0.030488247696844[/C][/ROW]
[ROW][C]0.45[/C][C]4.95796929271312[/C][C]0.0262402323826939[/C][/ROW]
[ROW][C]0.46[/C][C]4.96257868824067[/C][C]0.0228991248067237[/C][/ROW]
[ROW][C]0.47[/C][C]4.96670153797882[/C][C]0.0206133723866229[/C][/ROW]
[ROW][C]0.48[/C][C]4.97052240156737[/C][C]0.0194781165218397[/C][/ROW]
[ROW][C]0.49[/C][C]4.97422118394595[/C][C]0.0194452352453091[/C][/ROW]
[ROW][C]0.5[/C][C]4.97796110296074[/C][C]0.0203637520247895[/C][/ROW]
[ROW][C]0.51[/C][C]4.98187801093165[/C][C]0.0219836805640663[/C][/ROW]
[ROW][C]0.52[/C][C]4.98607220024829[/C][C]0.0240245882846455[/C][/ROW]
[ROW][C]0.53[/C][C]4.99060367822073[/C][C]0.0262190484739955[/C][/ROW]
[ROW][C]0.54[/C][C]4.99549163692317[/C][C]0.0283180572953513[/C][/ROW]
[ROW][C]0.55[/C][C]5.00071847709904[/C][C]0.0301300799252747[/C][/ROW]
[ROW][C]0.56[/C][C]5.00623828869512[/C][C]0.0315189978189121[/C][/ROW]
[ROW][C]0.57[/C][C]5.01198917886828[/C][C]0.0324265542446337[/C][/ROW]
[ROW][C]0.58[/C][C]5.0179083238852[/C][C]0.0328845262327133[/C][/ROW]
[ROW][C]0.59[/C][C]5.02394816722793[/C][C]0.033017130624254[/C][/ROW]
[ROW][C]0.6[/C][C]5.03009185408656[/C][C]0.0330421968800021[/C][/ROW]
[ROW][C]0.61[/C][C]5.03636583259401[/C][C]0.0332528145770654[/C][/ROW]
[ROW][C]0.62[/C][C]5.04284760043438[/C][C]0.033999388712026[/C][/ROW]
[ROW][C]0.63[/C][C]5.04966685676421[/C][C]0.0356084139153587[/C][/ROW]
[ROW][C]0.64[/C][C]5.05699885266738[/C][C]0.0383655863018998[/C][/ROW]
[ROW][C]0.65[/C][C]5.06504952902229[/C][C]0.0423928610282788[/C][/ROW]
[ROW][C]0.66[/C][C]5.07403307424873[/C][C]0.0476378076090376[/C][/ROW]
[ROW][C]0.67[/C][C]5.08414375830067[/C][C]0.0538764404642122[/C][/ROW]
[ROW][C]0.68[/C][C]5.09552515470961[/C][C]0.0606987727178838[/C][/ROW]
[ROW][C]0.69[/C][C]5.10824091183878[/C][C]0.0675787174208082[/C][/ROW]
[ROW][C]0.7[/C][C]5.12225178248619[/C][C]0.0739247711598645[/C][/ROW]
[ROW][C]0.71[/C][C]5.13740339028979[/C][C]0.0791087786789834[/C][/ROW]
[ROW][C]0.72[/C][C]5.15342804707467[/C][C]0.0825749280891959[/C][/ROW]
[ROW][C]0.73[/C][C]5.16996190073214[/C][C]0.0839017318114338[/C][/ROW]
[ROW][C]0.74[/C][C]5.18657611232955[/C][C]0.0828709056288163[/C][/ROW]
[ROW][C]0.75[/C][C]5.20281817292575[/C][C]0.0795060788735181[/C][/ROW]
[ROW][C]0.76[/C][C]5.21825749450238[/C][C]0.0740483535574277[/C][/ROW]
[ROW][C]0.77[/C][C]5.23252855981133[/C][C]0.0669501627260507[/C][/ROW]
[ROW][C]0.78[/C][C]5.24536543214571[/C][C]0.0587920164411413[/C][/ROW]
[ROW][C]0.79[/C][C]5.25662318721093[/C][C]0.0502197866479314[/C][/ROW]
[ROW][C]0.8[/C][C]5.26628439255337[/C][C]0.0418482683271461[/C][/ROW]
[ROW][C]0.81[/C][C]5.27445151290184[/C][C]0.0342161845764695[/C][/ROW]
[ROW][C]0.82[/C][C]5.28132849060265[/C][C]0.0277314826851176[/C][/ROW]
[ROW][C]0.83[/C][C]5.28719639177949[/C][C]0.0226860314573287[/C][/ROW]
[ROW][C]0.84[/C][C]5.29238886232438[/C][C]0.0192430654172891[/C][/ROW]
[ROW][C]0.85[/C][C]5.29727330068667[/C][C]0.0174604929574864[/C][/ROW]
[ROW][C]0.86[/C][C]5.30224302975274[/C][C]0.0172895709664015[/C][/ROW]
[ROW][C]0.87[/C][C]5.30772360867351[/C][C]0.0186208821886539[/C][/ROW]
[ROW][C]0.88[/C][C]5.31419128256941[/C][C]0.0214028549186718[/C][/ROW]
[ROW][C]0.89[/C][C]5.32219204823566[/C][C]0.0257218634371885[/C][/ROW]
[ROW][C]0.9[/C][C]5.33233701820222[/C][C]0.031704688366467[/C][/ROW]
[ROW][C]0.91[/C][C]5.34524041944297[/C][C]0.0392359589593691[/C][/ROW]
[ROW][C]0.92[/C][C]5.36137375898884[/C][C]0.0476017201430772[/C][/ROW]
[ROW][C]0.93[/C][C]5.38084609316581[/C][C]0.0552683208932316[/C][/ROW]
[ROW][C]0.94[/C][C]5.40318186514963[/C][C]0.0600669371166479[/C][/ROW]
[ROW][C]0.95[/C][C]5.427217920279[/C][C]0.0599452314951386[/C][/ROW]
[ROW][C]0.96[/C][C]5.45122078194244[/C][C]0.0540013589380939[/C][/ROW]
[ROW][C]0.97[/C][C]5.47320438304214[/C][C]0.0431180362911349[/C][/ROW]
[ROW][C]0.98[/C][C]5.49127682290202[/C][C]0.0296069693337894[/C][/ROW]
[ROW][C]0.99[/C][C]5.50385749589362[/C][C]0.0168520597871275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238566&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238566&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
0.014.532212932439060.00753324016767167
0.024.538844124496320.0212869831174025
0.034.550667448406640.0345643046068076
0.044.566248183516160.0412118020414788
0.054.582836873008760.0397502776726193
0.064.597825532629430.032700142706956
0.074.609693159255870.023743972812585
0.084.61813371691010.0156483626087911
0.094.623668600121010.00970915021482215
0.14.627163184624030.00622039518959701
0.114.629489417109730.00518722218591421
0.124.631375494946090.00635399065656963
0.134.633381033529640.00906911210392754
0.144.635923007067740.0129327443083883
0.154.639304754402080.017690625820792
0.164.643730781030120.0230374513358024
0.174.649309579843250.028597995372785
0.184.656054368824070.033960115103991
0.194.663891178713270.038760411382856
0.24.672679037613390.0427634254723292
0.214.682241168881330.0459006923180065
0.224.692401349058830.0483128213951007
0.234.703017214250260.0502970911247161
0.244.714002787294350.0522314897357554
0.254.725335368390760.05448739704026
0.264.737046084580180.0572977294279568
0.274.749197479758940.0606821212570094
0.284.761854383766560.0644789640959834
0.294.775055267537860.0683696224898863
0.34.788790338730120.0719625129165637
0.314.802990271959560.0748753612330263
0.324.817526531000440.0768048509628963
0.334.832221588938360.0775466883416912
0.344.846865625197450.0770068316800127
0.354.861235741437930.0752207617605211
0.364.875114269616190.072277099956778
0.374.888303941905210.0683452529036638
0.384.900639046395090.0636142803644839
0.394.911992772085980.0582922827149897
0.44.922281514991640.0525896680908075
0.414.931466964996920.0467315168125257
0.424.939556486879760.0409473235169174
0.434.946601890444390.0354613681759404
0.444.952696368923580.030488247696844
0.454.957969292713120.0262402323826939
0.464.962578688240670.0228991248067237
0.474.966701537978820.0206133723866229
0.484.970522401567370.0194781165218397
0.494.974221183945950.0194452352453091
0.54.977961102960740.0203637520247895
0.514.981878010931650.0219836805640663
0.524.986072200248290.0240245882846455
0.534.990603678220730.0262190484739955
0.544.995491636923170.0283180572953513
0.555.000718477099040.0301300799252747
0.565.006238288695120.0315189978189121
0.575.011989178868280.0324265542446337
0.585.01790832388520.0328845262327133
0.595.023948167227930.033017130624254
0.65.030091854086560.0330421968800021
0.615.036365832594010.0332528145770654
0.625.042847600434380.033999388712026
0.635.049666856764210.0356084139153587
0.645.056998852667380.0383655863018998
0.655.065049529022290.0423928610282788
0.665.074033074248730.0476378076090376
0.675.084143758300670.0538764404642122
0.685.095525154709610.0606987727178838
0.695.108240911838780.0675787174208082
0.75.122251782486190.0739247711598645
0.715.137403390289790.0791087786789834
0.725.153428047074670.0825749280891959
0.735.169961900732140.0839017318114338
0.745.186576112329550.0828709056288163
0.755.202818172925750.0795060788735181
0.765.218257494502380.0740483535574277
0.775.232528559811330.0669501627260507
0.785.245365432145710.0587920164411413
0.795.256623187210930.0502197866479314
0.85.266284392553370.0418482683271461
0.815.274451512901840.0342161845764695
0.825.281328490602650.0277314826851176
0.835.287196391779490.0226860314573287
0.845.292388862324380.0192430654172891
0.855.297273300686670.0174604929574864
0.865.302243029752740.0172895709664015
0.875.307723608673510.0186208821886539
0.885.314191282569410.0214028549186718
0.895.322192048235660.0257218634371885
0.95.332337018202220.031704688366467
0.915.345240419442970.0392359589593691
0.925.361373758988840.0476017201430772
0.935.380846093165810.0552683208932316
0.945.403181865149630.0600669371166479
0.955.4272179202790.0599452314951386
0.965.451220781942440.0540013589380939
0.975.473204383042140.0431180362911349
0.985.491276822902020.0296069693337894
0.995.503857495893620.0168520597871275


Figures (Output of Computation)

Input Parameters & R Code

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')