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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 07:49:05 -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/2008/Oct/20/t12245106630q9e3pf6a6ruq9x.htm/, Retrieved Sun, 19 May 2024 14:01:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17281, Retrieved Sun, 19 May 2024 14:01:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [werkloosheid mannen] [2008-10-13 15:39:35] [e43247bc0ab243a5af99ac7f55ba0b41]
- RMPD    [Harrell-Davis Quantiles] [harrel davis reek...] [2008-10-20 13:49:05] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.8
7.6
7.5
7.6
7.5
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8.0
7.5
6.8
6.5
6.6
7.6
8.0
8.0
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7.0
7.1
7.2
7.1
6.9
7.0
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5
6.8
6.8
6.5
6.3
5.9
5.9
6.4
6.4

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17281&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17281&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.924053136566820.0730145701441019
0.025.977414094470210.146071735301444
0.036.051471540805950.177328397023905
0.046.130595174929040.168383820610350
0.056.202155354502190.140538914109273
0.066.260520333460080.111839851546749
0.076.305761103217280.0902536610735974
0.086.34068691804660.0766370483750443
0.096.368600289704460.0694422510883949
0.16.392277762906780.0672331381207004
0.116.413757503110390.0689352321680195
0.126.434439755742260.0734292803429943
0.136.455232139829560.0795611533520776
0.146.476663100555090.086317254348532
0.156.49896809059170.0929278308131832
0.166.522164021122830.0988516837789714
0.176.546117335462950.103732117047829
0.186.57060390435740.107350956380497
0.196.595358522096450.109633933748035
0.26.62011407150770.110625315000114
0.216.644631874924770.110497675681487
0.226.668724525769320.109537242103595
0.236.692271502905320.108100254899457
0.246.715227203948310.106589718680067
0.256.73762116521830.105390113375415
0.266.759550992427730.104850617420453
0.276.781169452144810.105236200661507
0.286.80266787012730.106707428285993
0.296.824258251888120.109318139916848
0.36.846156370324840.113032452931722
0.316.868567543343850.117742871967606
0.326.891676074460220.123287919133335
0.336.915638483674490.129510311528827
0.346.940579854926050.136236097213608
0.356.966592016591920.143315546528331
0.366.993731987144120.150581473486924
0.377.022019248332940.157858907125306
0.387.051430962342220.164924194253671
0.397.081895135687560.171508737476261
0.47.113282763181160.177264396861870
0.417.145400908697040.181789539612594
0.427.177989237418420.184653377254874
0.437.210722508115350.185459454906843
0.447.243220883910280.183876699289024
0.457.275068698461930.179698450938911
0.467.305840742449010.172916485903226
0.477.335133538181520.163710041688428
0.487.362597804241910.152461379873040
0.497.387967678840220.139716416977519
0.57.41108244345980.126153132682764
0.517.431897469930660.112490457870109
0.527.450482734516930.099433952750422
0.537.46700919818560.0875997253937034
0.547.481725271829160.0774561717303745
0.557.494927108130330.0692816893510501
0.567.506927308978060.0631385539645704
0.577.518026663098010.0588636052497599
0.587.528492744573290.0561157026822736
0.597.538547773617620.0544947102182402
0.67.548366351704740.0536141961423175
0.617.558081886444220.053192089270794
0.627.567799068275960.0530854044477223
0.637.577608927144570.0532824040240589
0.647.587602920527250.0538802067149676
0.657.597883146784920.0550147451934824
0.667.608566930658530.0568175280837091
0.677.619785362626490.0593717311260806
0.687.631676537117940.062663235154687
0.697.64437495861650.0666109684822702
0.77.657998780699370.0710592661308658
0.717.672636336432530.0758003404418878
0.727.688333101229540.0805910952630772
0.737.705080131808460.0851389798278201
0.747.722805346299650.089129939346163
0.757.741369674045840.0922250593410371
0.767.760570713865270.094099484083108
0.777.780156494074420.0945025370342621
0.787.799850678032770.0933044675337951
0.797.819387942345780.0905816431033906
0.87.838554748507660.0866366731395252
0.817.857227463386010.0819853000251938
0.827.875398210835190.0773038862226609
0.837.8931801019220.0732858633391557
0.847.91078777859660.0704692620037956
0.857.928495456949220.0690702868652425
0.867.94658098884990.0689116403429281
0.877.965269160499540.069521153382103
0.887.984689746906790.070277117724421
0.898.004865375791090.0705870026844407
0.98.025738942765310.0700128300313694
0.918.047234918901730.0684274639677834
0.928.069318974918280.0661423909098314
0.938.091984806130350.0638083448643818
0.948.115091688208810.0617340918163715
0.958.138054749954880.0587795111123368
0.968.159566464237610.0522763419968089
0.978.177691804078270.0400869119679081
0.988.190590835391910.0235606893053725
0.998.197626072975510.00823298146877447

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.92405313656682 & 0.0730145701441019 \tabularnewline
0.02 & 5.97741409447021 & 0.146071735301444 \tabularnewline
0.03 & 6.05147154080595 & 0.177328397023905 \tabularnewline
0.04 & 6.13059517492904 & 0.168383820610350 \tabularnewline
0.05 & 6.20215535450219 & 0.140538914109273 \tabularnewline
0.06 & 6.26052033346008 & 0.111839851546749 \tabularnewline
0.07 & 6.30576110321728 & 0.0902536610735974 \tabularnewline
0.08 & 6.3406869180466 & 0.0766370483750443 \tabularnewline
0.09 & 6.36860028970446 & 0.0694422510883949 \tabularnewline
0.1 & 6.39227776290678 & 0.0672331381207004 \tabularnewline
0.11 & 6.41375750311039 & 0.0689352321680195 \tabularnewline
0.12 & 6.43443975574226 & 0.0734292803429943 \tabularnewline
0.13 & 6.45523213982956 & 0.0795611533520776 \tabularnewline
0.14 & 6.47666310055509 & 0.086317254348532 \tabularnewline
0.15 & 6.4989680905917 & 0.0929278308131832 \tabularnewline
0.16 & 6.52216402112283 & 0.0988516837789714 \tabularnewline
0.17 & 6.54611733546295 & 0.103732117047829 \tabularnewline
0.18 & 6.5706039043574 & 0.107350956380497 \tabularnewline
0.19 & 6.59535852209645 & 0.109633933748035 \tabularnewline
0.2 & 6.6201140715077 & 0.110625315000114 \tabularnewline
0.21 & 6.64463187492477 & 0.110497675681487 \tabularnewline
0.22 & 6.66872452576932 & 0.109537242103595 \tabularnewline
0.23 & 6.69227150290532 & 0.108100254899457 \tabularnewline
0.24 & 6.71522720394831 & 0.106589718680067 \tabularnewline
0.25 & 6.7376211652183 & 0.105390113375415 \tabularnewline
0.26 & 6.75955099242773 & 0.104850617420453 \tabularnewline
0.27 & 6.78116945214481 & 0.105236200661507 \tabularnewline
0.28 & 6.8026678701273 & 0.106707428285993 \tabularnewline
0.29 & 6.82425825188812 & 0.109318139916848 \tabularnewline
0.3 & 6.84615637032484 & 0.113032452931722 \tabularnewline
0.31 & 6.86856754334385 & 0.117742871967606 \tabularnewline
0.32 & 6.89167607446022 & 0.123287919133335 \tabularnewline
0.33 & 6.91563848367449 & 0.129510311528827 \tabularnewline
0.34 & 6.94057985492605 & 0.136236097213608 \tabularnewline
0.35 & 6.96659201659192 & 0.143315546528331 \tabularnewline
0.36 & 6.99373198714412 & 0.150581473486924 \tabularnewline
0.37 & 7.02201924833294 & 0.157858907125306 \tabularnewline
0.38 & 7.05143096234222 & 0.164924194253671 \tabularnewline
0.39 & 7.08189513568756 & 0.171508737476261 \tabularnewline
0.4 & 7.11328276318116 & 0.177264396861870 \tabularnewline
0.41 & 7.14540090869704 & 0.181789539612594 \tabularnewline
0.42 & 7.17798923741842 & 0.184653377254874 \tabularnewline
0.43 & 7.21072250811535 & 0.185459454906843 \tabularnewline
0.44 & 7.24322088391028 & 0.183876699289024 \tabularnewline
0.45 & 7.27506869846193 & 0.179698450938911 \tabularnewline
0.46 & 7.30584074244901 & 0.172916485903226 \tabularnewline
0.47 & 7.33513353818152 & 0.163710041688428 \tabularnewline
0.48 & 7.36259780424191 & 0.152461379873040 \tabularnewline
0.49 & 7.38796767884022 & 0.139716416977519 \tabularnewline
0.5 & 7.4110824434598 & 0.126153132682764 \tabularnewline
0.51 & 7.43189746993066 & 0.112490457870109 \tabularnewline
0.52 & 7.45048273451693 & 0.099433952750422 \tabularnewline
0.53 & 7.4670091981856 & 0.0875997253937034 \tabularnewline
0.54 & 7.48172527182916 & 0.0774561717303745 \tabularnewline
0.55 & 7.49492710813033 & 0.0692816893510501 \tabularnewline
0.56 & 7.50692730897806 & 0.0631385539645704 \tabularnewline
0.57 & 7.51802666309801 & 0.0588636052497599 \tabularnewline
0.58 & 7.52849274457329 & 0.0561157026822736 \tabularnewline
0.59 & 7.53854777361762 & 0.0544947102182402 \tabularnewline
0.6 & 7.54836635170474 & 0.0536141961423175 \tabularnewline
0.61 & 7.55808188644422 & 0.053192089270794 \tabularnewline
0.62 & 7.56779906827596 & 0.0530854044477223 \tabularnewline
0.63 & 7.57760892714457 & 0.0532824040240589 \tabularnewline
0.64 & 7.58760292052725 & 0.0538802067149676 \tabularnewline
0.65 & 7.59788314678492 & 0.0550147451934824 \tabularnewline
0.66 & 7.60856693065853 & 0.0568175280837091 \tabularnewline
0.67 & 7.61978536262649 & 0.0593717311260806 \tabularnewline
0.68 & 7.63167653711794 & 0.062663235154687 \tabularnewline
0.69 & 7.6443749586165 & 0.0666109684822702 \tabularnewline
0.7 & 7.65799878069937 & 0.0710592661308658 \tabularnewline
0.71 & 7.67263633643253 & 0.0758003404418878 \tabularnewline
0.72 & 7.68833310122954 & 0.0805910952630772 \tabularnewline
0.73 & 7.70508013180846 & 0.0851389798278201 \tabularnewline
0.74 & 7.72280534629965 & 0.089129939346163 \tabularnewline
0.75 & 7.74136967404584 & 0.0922250593410371 \tabularnewline
0.76 & 7.76057071386527 & 0.094099484083108 \tabularnewline
0.77 & 7.78015649407442 & 0.0945025370342621 \tabularnewline
0.78 & 7.79985067803277 & 0.0933044675337951 \tabularnewline
0.79 & 7.81938794234578 & 0.0905816431033906 \tabularnewline
0.8 & 7.83855474850766 & 0.0866366731395252 \tabularnewline
0.81 & 7.85722746338601 & 0.0819853000251938 \tabularnewline
0.82 & 7.87539821083519 & 0.0773038862226609 \tabularnewline
0.83 & 7.893180101922 & 0.0732858633391557 \tabularnewline
0.84 & 7.9107877785966 & 0.0704692620037956 \tabularnewline
0.85 & 7.92849545694922 & 0.0690702868652425 \tabularnewline
0.86 & 7.9465809888499 & 0.0689116403429281 \tabularnewline
0.87 & 7.96526916049954 & 0.069521153382103 \tabularnewline
0.88 & 7.98468974690679 & 0.070277117724421 \tabularnewline
0.89 & 8.00486537579109 & 0.0705870026844407 \tabularnewline
0.9 & 8.02573894276531 & 0.0700128300313694 \tabularnewline
0.91 & 8.04723491890173 & 0.0684274639677834 \tabularnewline
0.92 & 8.06931897491828 & 0.0661423909098314 \tabularnewline
0.93 & 8.09198480613035 & 0.0638083448643818 \tabularnewline
0.94 & 8.11509168820881 & 0.0617340918163715 \tabularnewline
0.95 & 8.13805474995488 & 0.0587795111123368 \tabularnewline
0.96 & 8.15956646423761 & 0.0522763419968089 \tabularnewline
0.97 & 8.17769180407827 & 0.0400869119679081 \tabularnewline
0.98 & 8.19059083539191 & 0.0235606893053725 \tabularnewline
0.99 & 8.19762607297551 & 0.00823298146877447 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17281&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]5.92405313656682[/C][C]0.0730145701441019[/C][/ROW]
[ROW][C]0.02[/C][C]5.97741409447021[/C][C]0.146071735301444[/C][/ROW]
[ROW][C]0.03[/C][C]6.05147154080595[/C][C]0.177328397023905[/C][/ROW]
[ROW][C]0.04[/C][C]6.13059517492904[/C][C]0.168383820610350[/C][/ROW]
[ROW][C]0.05[/C][C]6.20215535450219[/C][C]0.140538914109273[/C][/ROW]
[ROW][C]0.06[/C][C]6.26052033346008[/C][C]0.111839851546749[/C][/ROW]
[ROW][C]0.07[/C][C]6.30576110321728[/C][C]0.0902536610735974[/C][/ROW]
[ROW][C]0.08[/C][C]6.3406869180466[/C][C]0.0766370483750443[/C][/ROW]
[ROW][C]0.09[/C][C]6.36860028970446[/C][C]0.0694422510883949[/C][/ROW]
[ROW][C]0.1[/C][C]6.39227776290678[/C][C]0.0672331381207004[/C][/ROW]
[ROW][C]0.11[/C][C]6.41375750311039[/C][C]0.0689352321680195[/C][/ROW]
[ROW][C]0.12[/C][C]6.43443975574226[/C][C]0.0734292803429943[/C][/ROW]
[ROW][C]0.13[/C][C]6.45523213982956[/C][C]0.0795611533520776[/C][/ROW]
[ROW][C]0.14[/C][C]6.47666310055509[/C][C]0.086317254348532[/C][/ROW]
[ROW][C]0.15[/C][C]6.4989680905917[/C][C]0.0929278308131832[/C][/ROW]
[ROW][C]0.16[/C][C]6.52216402112283[/C][C]0.0988516837789714[/C][/ROW]
[ROW][C]0.17[/C][C]6.54611733546295[/C][C]0.103732117047829[/C][/ROW]
[ROW][C]0.18[/C][C]6.5706039043574[/C][C]0.107350956380497[/C][/ROW]
[ROW][C]0.19[/C][C]6.59535852209645[/C][C]0.109633933748035[/C][/ROW]
[ROW][C]0.2[/C][C]6.6201140715077[/C][C]0.110625315000114[/C][/ROW]
[ROW][C]0.21[/C][C]6.64463187492477[/C][C]0.110497675681487[/C][/ROW]
[ROW][C]0.22[/C][C]6.66872452576932[/C][C]0.109537242103595[/C][/ROW]
[ROW][C]0.23[/C][C]6.69227150290532[/C][C]0.108100254899457[/C][/ROW]
[ROW][C]0.24[/C][C]6.71522720394831[/C][C]0.106589718680067[/C][/ROW]
[ROW][C]0.25[/C][C]6.7376211652183[/C][C]0.105390113375415[/C][/ROW]
[ROW][C]0.26[/C][C]6.75955099242773[/C][C]0.104850617420453[/C][/ROW]
[ROW][C]0.27[/C][C]6.78116945214481[/C][C]0.105236200661507[/C][/ROW]
[ROW][C]0.28[/C][C]6.8026678701273[/C][C]0.106707428285993[/C][/ROW]
[ROW][C]0.29[/C][C]6.82425825188812[/C][C]0.109318139916848[/C][/ROW]
[ROW][C]0.3[/C][C]6.84615637032484[/C][C]0.113032452931722[/C][/ROW]
[ROW][C]0.31[/C][C]6.86856754334385[/C][C]0.117742871967606[/C][/ROW]
[ROW][C]0.32[/C][C]6.89167607446022[/C][C]0.123287919133335[/C][/ROW]
[ROW][C]0.33[/C][C]6.91563848367449[/C][C]0.129510311528827[/C][/ROW]
[ROW][C]0.34[/C][C]6.94057985492605[/C][C]0.136236097213608[/C][/ROW]
[ROW][C]0.35[/C][C]6.96659201659192[/C][C]0.143315546528331[/C][/ROW]
[ROW][C]0.36[/C][C]6.99373198714412[/C][C]0.150581473486924[/C][/ROW]
[ROW][C]0.37[/C][C]7.02201924833294[/C][C]0.157858907125306[/C][/ROW]
[ROW][C]0.38[/C][C]7.05143096234222[/C][C]0.164924194253671[/C][/ROW]
[ROW][C]0.39[/C][C]7.08189513568756[/C][C]0.171508737476261[/C][/ROW]
[ROW][C]0.4[/C][C]7.11328276318116[/C][C]0.177264396861870[/C][/ROW]
[ROW][C]0.41[/C][C]7.14540090869704[/C][C]0.181789539612594[/C][/ROW]
[ROW][C]0.42[/C][C]7.17798923741842[/C][C]0.184653377254874[/C][/ROW]
[ROW][C]0.43[/C][C]7.21072250811535[/C][C]0.185459454906843[/C][/ROW]
[ROW][C]0.44[/C][C]7.24322088391028[/C][C]0.183876699289024[/C][/ROW]
[ROW][C]0.45[/C][C]7.27506869846193[/C][C]0.179698450938911[/C][/ROW]
[ROW][C]0.46[/C][C]7.30584074244901[/C][C]0.172916485903226[/C][/ROW]
[ROW][C]0.47[/C][C]7.33513353818152[/C][C]0.163710041688428[/C][/ROW]
[ROW][C]0.48[/C][C]7.36259780424191[/C][C]0.152461379873040[/C][/ROW]
[ROW][C]0.49[/C][C]7.38796767884022[/C][C]0.139716416977519[/C][/ROW]
[ROW][C]0.5[/C][C]7.4110824434598[/C][C]0.126153132682764[/C][/ROW]
[ROW][C]0.51[/C][C]7.43189746993066[/C][C]0.112490457870109[/C][/ROW]
[ROW][C]0.52[/C][C]7.45048273451693[/C][C]0.099433952750422[/C][/ROW]
[ROW][C]0.53[/C][C]7.4670091981856[/C][C]0.0875997253937034[/C][/ROW]
[ROW][C]0.54[/C][C]7.48172527182916[/C][C]0.0774561717303745[/C][/ROW]
[ROW][C]0.55[/C][C]7.49492710813033[/C][C]0.0692816893510501[/C][/ROW]
[ROW][C]0.56[/C][C]7.50692730897806[/C][C]0.0631385539645704[/C][/ROW]
[ROW][C]0.57[/C][C]7.51802666309801[/C][C]0.0588636052497599[/C][/ROW]
[ROW][C]0.58[/C][C]7.52849274457329[/C][C]0.0561157026822736[/C][/ROW]
[ROW][C]0.59[/C][C]7.53854777361762[/C][C]0.0544947102182402[/C][/ROW]
[ROW][C]0.6[/C][C]7.54836635170474[/C][C]0.0536141961423175[/C][/ROW]
[ROW][C]0.61[/C][C]7.55808188644422[/C][C]0.053192089270794[/C][/ROW]
[ROW][C]0.62[/C][C]7.56779906827596[/C][C]0.0530854044477223[/C][/ROW]
[ROW][C]0.63[/C][C]7.57760892714457[/C][C]0.0532824040240589[/C][/ROW]
[ROW][C]0.64[/C][C]7.58760292052725[/C][C]0.0538802067149676[/C][/ROW]
[ROW][C]0.65[/C][C]7.59788314678492[/C][C]0.0550147451934824[/C][/ROW]
[ROW][C]0.66[/C][C]7.60856693065853[/C][C]0.0568175280837091[/C][/ROW]
[ROW][C]0.67[/C][C]7.61978536262649[/C][C]0.0593717311260806[/C][/ROW]
[ROW][C]0.68[/C][C]7.63167653711794[/C][C]0.062663235154687[/C][/ROW]
[ROW][C]0.69[/C][C]7.6443749586165[/C][C]0.0666109684822702[/C][/ROW]
[ROW][C]0.7[/C][C]7.65799878069937[/C][C]0.0710592661308658[/C][/ROW]
[ROW][C]0.71[/C][C]7.67263633643253[/C][C]0.0758003404418878[/C][/ROW]
[ROW][C]0.72[/C][C]7.68833310122954[/C][C]0.0805910952630772[/C][/ROW]
[ROW][C]0.73[/C][C]7.70508013180846[/C][C]0.0851389798278201[/C][/ROW]
[ROW][C]0.74[/C][C]7.72280534629965[/C][C]0.089129939346163[/C][/ROW]
[ROW][C]0.75[/C][C]7.74136967404584[/C][C]0.0922250593410371[/C][/ROW]
[ROW][C]0.76[/C][C]7.76057071386527[/C][C]0.094099484083108[/C][/ROW]
[ROW][C]0.77[/C][C]7.78015649407442[/C][C]0.0945025370342621[/C][/ROW]
[ROW][C]0.78[/C][C]7.79985067803277[/C][C]0.0933044675337951[/C][/ROW]
[ROW][C]0.79[/C][C]7.81938794234578[/C][C]0.0905816431033906[/C][/ROW]
[ROW][C]0.8[/C][C]7.83855474850766[/C][C]0.0866366731395252[/C][/ROW]
[ROW][C]0.81[/C][C]7.85722746338601[/C][C]0.0819853000251938[/C][/ROW]
[ROW][C]0.82[/C][C]7.87539821083519[/C][C]0.0773038862226609[/C][/ROW]
[ROW][C]0.83[/C][C]7.893180101922[/C][C]0.0732858633391557[/C][/ROW]
[ROW][C]0.84[/C][C]7.9107877785966[/C][C]0.0704692620037956[/C][/ROW]
[ROW][C]0.85[/C][C]7.92849545694922[/C][C]0.0690702868652425[/C][/ROW]
[ROW][C]0.86[/C][C]7.9465809888499[/C][C]0.0689116403429281[/C][/ROW]
[ROW][C]0.87[/C][C]7.96526916049954[/C][C]0.069521153382103[/C][/ROW]
[ROW][C]0.88[/C][C]7.98468974690679[/C][C]0.070277117724421[/C][/ROW]
[ROW][C]0.89[/C][C]8.00486537579109[/C][C]0.0705870026844407[/C][/ROW]
[ROW][C]0.9[/C][C]8.02573894276531[/C][C]0.0700128300313694[/C][/ROW]
[ROW][C]0.91[/C][C]8.04723491890173[/C][C]0.0684274639677834[/C][/ROW]
[ROW][C]0.92[/C][C]8.06931897491828[/C][C]0.0661423909098314[/C][/ROW]
[ROW][C]0.93[/C][C]8.09198480613035[/C][C]0.0638083448643818[/C][/ROW]
[ROW][C]0.94[/C][C]8.11509168820881[/C][C]0.0617340918163715[/C][/ROW]
[ROW][C]0.95[/C][C]8.13805474995488[/C][C]0.0587795111123368[/C][/ROW]
[ROW][C]0.96[/C][C]8.15956646423761[/C][C]0.0522763419968089[/C][/ROW]
[ROW][C]0.97[/C][C]8.17769180407827[/C][C]0.0400869119679081[/C][/ROW]
[ROW][C]0.98[/C][C]8.19059083539191[/C][C]0.0235606893053725[/C][/ROW]
[ROW][C]0.99[/C][C]8.19762607297551[/C][C]0.00823298146877447[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17281&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
0.015.924053136566820.0730145701441019
0.025.977414094470210.146071735301444
0.036.051471540805950.177328397023905
0.046.130595174929040.168383820610350
0.056.202155354502190.140538914109273
0.066.260520333460080.111839851546749
0.076.305761103217280.0902536610735974
0.086.34068691804660.0766370483750443
0.096.368600289704460.0694422510883949
0.16.392277762906780.0672331381207004
0.116.413757503110390.0689352321680195
0.126.434439755742260.0734292803429943
0.136.455232139829560.0795611533520776
0.146.476663100555090.086317254348532
0.156.49896809059170.0929278308131832
0.166.522164021122830.0988516837789714
0.176.546117335462950.103732117047829
0.186.57060390435740.107350956380497
0.196.595358522096450.109633933748035
0.26.62011407150770.110625315000114
0.216.644631874924770.110497675681487
0.226.668724525769320.109537242103595
0.236.692271502905320.108100254899457
0.246.715227203948310.106589718680067
0.256.73762116521830.105390113375415
0.266.759550992427730.104850617420453
0.276.781169452144810.105236200661507
0.286.80266787012730.106707428285993
0.296.824258251888120.109318139916848
0.36.846156370324840.113032452931722
0.316.868567543343850.117742871967606
0.326.891676074460220.123287919133335
0.336.915638483674490.129510311528827
0.346.940579854926050.136236097213608
0.356.966592016591920.143315546528331
0.366.993731987144120.150581473486924
0.377.022019248332940.157858907125306
0.387.051430962342220.164924194253671
0.397.081895135687560.171508737476261
0.47.113282763181160.177264396861870
0.417.145400908697040.181789539612594
0.427.177989237418420.184653377254874
0.437.210722508115350.185459454906843
0.447.243220883910280.183876699289024
0.457.275068698461930.179698450938911
0.467.305840742449010.172916485903226
0.477.335133538181520.163710041688428
0.487.362597804241910.152461379873040
0.497.387967678840220.139716416977519
0.57.41108244345980.126153132682764
0.517.431897469930660.112490457870109
0.527.450482734516930.099433952750422
0.537.46700919818560.0875997253937034
0.547.481725271829160.0774561717303745
0.557.494927108130330.0692816893510501
0.567.506927308978060.0631385539645704
0.577.518026663098010.0588636052497599
0.587.528492744573290.0561157026822736
0.597.538547773617620.0544947102182402
0.67.548366351704740.0536141961423175
0.617.558081886444220.053192089270794
0.627.567799068275960.0530854044477223
0.637.577608927144570.0532824040240589
0.647.587602920527250.0538802067149676
0.657.597883146784920.0550147451934824
0.667.608566930658530.0568175280837091
0.677.619785362626490.0593717311260806
0.687.631676537117940.062663235154687
0.697.64437495861650.0666109684822702
0.77.657998780699370.0710592661308658
0.717.672636336432530.0758003404418878
0.727.688333101229540.0805910952630772
0.737.705080131808460.0851389798278201
0.747.722805346299650.089129939346163
0.757.741369674045840.0922250593410371
0.767.760570713865270.094099484083108
0.777.780156494074420.0945025370342621
0.787.799850678032770.0933044675337951
0.797.819387942345780.0905816431033906
0.87.838554748507660.0866366731395252
0.817.857227463386010.0819853000251938
0.827.875398210835190.0773038862226609
0.837.8931801019220.0732858633391557
0.847.91078777859660.0704692620037956
0.857.928495456949220.0690702868652425
0.867.94658098884990.0689116403429281
0.877.965269160499540.069521153382103
0.887.984689746906790.070277117724421
0.898.004865375791090.0705870026844407
0.98.025738942765310.0700128300313694
0.918.047234918901730.0684274639677834
0.928.069318974918280.0661423909098314
0.938.091984806130350.0638083448643818
0.948.115091688208810.0617340918163715
0.958.138054749954880.0587795111123368
0.968.159566464237610.0522763419968089
0.978.177691804078270.0400869119679081
0.988.190590835391910.0235606893053725
0.998.197626072975510.00823298146877447


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')