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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 computationSun, 19 Oct 2008 13:12:58 -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/19/t1224443609u965q9dbqh1vhht.htm/, Retrieved Fri, 17 May 2024 04:47:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17065, Retrieved Fri, 17 May 2024 04:47:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [] [2008-10-13 23:08:02] [e6c4428cda034f2790871b3ffa59aa02]
-   PD  [Univariate Data Series] [] [2008-10-19 17:39:13] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD    [Univariate Data Series] [] [2008-10-19 17:42:24] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD      [Univariate Data Series] [] [2008-10-19 17:44:18] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMPD        [Central Tendency] [] [2008-10-19 18:11:56] [7c33e759a6f7358dc2f6505c3a7a1eae]
F    D          [Central Tendency] [] [2008-10-19 18:20:29] [7c33e759a6f7358dc2f6505c3a7a1eae]
-    D            [Central Tendency] [] [2008-10-19 18:24:39] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMPD                [Harrell-Davis Quantiles] [] [2008-10-19 19:12:58] [1e28c3a908c2cc51d131d1d2a5af4149] [Current]
- RMP                   [Stem-and-leaf Plot] [] [2008-10-19 19:14:10] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMP                     [Percentiles] [] [2008-10-19 19:15:08] [7c33e759a6f7358dc2f6505c3a7a1eae]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.4
6.3
6.3
6.4
6.3
6.0
6.2
6.3
6.6
7.5
7.8
7.9
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

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=17065&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=17065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17065&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
0.015.915593723596080.0447734259306766
0.025.95492917747220.0992432441597344
0.036.013672501670440.131661296507757
0.046.079622537800430.135058375495624
0.056.141295588247010.118931602506441
0.066.192348278407030.0956421944455012
0.076.231448681254860.0735033639381294
0.086.26026329219160.056325318607393
0.096.281584690783560.0454458544431382
0.16.298215243704240.0410390552177845
0.116.312461898920780.0419570080185154
0.126.325974019044070.0460175043064692
0.136.339762817422040.0512358234915222
0.146.354326783284370.0564614731348168
0.156.369829463368020.0613289255411571
0.166.386275161877280.0660231720900953
0.176.403638085387830.0709312459761938
0.186.421925128985820.076345998638125
0.196.441179517259010.0822838987024507
0.26.461449708346230.0885094536210866
0.216.482751051837140.0946706342026327
0.226.505039912104820.100376211955584
0.236.528208033381840.105335570808715
0.246.552094835400380.109385367164823
0.256.576510110435930.112477610646367
0.266.601259169803530.114654620205823
0.276.626164946162730.116059649835515
0.286.651084674471350.116857537744545
0.296.675921048551290.117287657361339
0.36.700628704521030.117588867104998
0.316.725216816769060.118039428387918
0.326.74974812573420.118914682537593
0.336.774334389000580.120479616358980
0.346.79912830812080.122929001339612
0.356.824312376743840.126391975946315
0.366.8500855707620.130924135488747
0.376.876649075708460.136479196734409
0.386.90419214761880.142950534673733
0.396.932878745387250.150159716964378
0.46.962834952375540.157887996210942
0.416.994136724008610.165860943482409
0.427.026797439756690.173736072938759
0.437.060755245028590.181106439780946
0.447.095861163873940.187486826494154
0.457.131870145498730.19234174248018
0.467.16843812950750.195114369698814
0.477.205128426293540.195301062863573
0.487.241429917987560.192500014683489
0.497.276787783219120.186532235536735
0.57.310644952539360.177445967117365
0.517.34248989013590.165577833915005
0.527.371904259651430.151531068708508
0.537.398603166717430.136102960220441
0.547.422461309927890.120223305525068
0.557.443520476863930.104835937970537
0.567.46197698667440.0907999057022792
0.577.478151235625710.0787929420331789
0.587.492444679954970.0692612912888162
0.597.50529170913880.062337505468991
0.67.517114476301690.0578485857747877
0.617.528287742923130.0553540644730398
0.627.539118393975910.05429762980478
0.637.549841021678340.0541487395465532
0.647.560627590487150.05453927330117
0.657.571606450164540.0552851443254769
0.667.582884480400180.0563723598852361
0.677.594566237572320.0578947139308708
0.687.606765520305150.0599785670892926
0.697.619607255060590.0627011972711311
0.77.633220244836330.0660469569314074
0.717.647723338589970.0698878207607564
0.727.663208462441170.07402249446897
0.737.679723680134040.0781772246745825
0.747.697258485109730.0820579266720222
0.757.715732623706840.0853442981379368
0.767.734989589666620.0877091982356334
0.777.754796739919440.0888477885976837
0.787.774855295071290.0884844578472582
0.797.794824202126830.0864529822433706
0.87.814360615467580.082774250037593
0.817.833175718169960.0777011507239534
0.827.851098106470570.0717842103284533
0.837.868130022086510.0658407618124082
0.847.88447773144120.0608699902132572
0.857.900539702831590.05780805236931
0.867.916846191511770.0571763464931842
0.877.933958946445490.0588211720339936
0.887.952354419824030.0619272173169167
0.897.972322808826570.0653895777610814
0.97.993916976277070.0681382312409815
0.918.016979814290520.069367575745782
0.928.041257612558250.0687453439652157
0.938.066549592121290.0666460950176874
0.948.092746481877560.064110900866548
0.958.119556614138360.0616698693352203
0.968.14589430671260.0573115466450004
0.978.169404104706840.0469202196790654
0.988.187011859889880.0292485215191172
0.998.196830720027290.0104314185658410

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.91559372359608 & 0.0447734259306766 \tabularnewline
0.02 & 5.9549291774722 & 0.0992432441597344 \tabularnewline
0.03 & 6.01367250167044 & 0.131661296507757 \tabularnewline
0.04 & 6.07962253780043 & 0.135058375495624 \tabularnewline
0.05 & 6.14129558824701 & 0.118931602506441 \tabularnewline
0.06 & 6.19234827840703 & 0.0956421944455012 \tabularnewline
0.07 & 6.23144868125486 & 0.0735033639381294 \tabularnewline
0.08 & 6.2602632921916 & 0.056325318607393 \tabularnewline
0.09 & 6.28158469078356 & 0.0454458544431382 \tabularnewline
0.1 & 6.29821524370424 & 0.0410390552177845 \tabularnewline
0.11 & 6.31246189892078 & 0.0419570080185154 \tabularnewline
0.12 & 6.32597401904407 & 0.0460175043064692 \tabularnewline
0.13 & 6.33976281742204 & 0.0512358234915222 \tabularnewline
0.14 & 6.35432678328437 & 0.0564614731348168 \tabularnewline
0.15 & 6.36982946336802 & 0.0613289255411571 \tabularnewline
0.16 & 6.38627516187728 & 0.0660231720900953 \tabularnewline
0.17 & 6.40363808538783 & 0.0709312459761938 \tabularnewline
0.18 & 6.42192512898582 & 0.076345998638125 \tabularnewline
0.19 & 6.44117951725901 & 0.0822838987024507 \tabularnewline
0.2 & 6.46144970834623 & 0.0885094536210866 \tabularnewline
0.21 & 6.48275105183714 & 0.0946706342026327 \tabularnewline
0.22 & 6.50503991210482 & 0.100376211955584 \tabularnewline
0.23 & 6.52820803338184 & 0.105335570808715 \tabularnewline
0.24 & 6.55209483540038 & 0.109385367164823 \tabularnewline
0.25 & 6.57651011043593 & 0.112477610646367 \tabularnewline
0.26 & 6.60125916980353 & 0.114654620205823 \tabularnewline
0.27 & 6.62616494616273 & 0.116059649835515 \tabularnewline
0.28 & 6.65108467447135 & 0.116857537744545 \tabularnewline
0.29 & 6.67592104855129 & 0.117287657361339 \tabularnewline
0.3 & 6.70062870452103 & 0.117588867104998 \tabularnewline
0.31 & 6.72521681676906 & 0.118039428387918 \tabularnewline
0.32 & 6.7497481257342 & 0.118914682537593 \tabularnewline
0.33 & 6.77433438900058 & 0.120479616358980 \tabularnewline
0.34 & 6.7991283081208 & 0.122929001339612 \tabularnewline
0.35 & 6.82431237674384 & 0.126391975946315 \tabularnewline
0.36 & 6.850085570762 & 0.130924135488747 \tabularnewline
0.37 & 6.87664907570846 & 0.136479196734409 \tabularnewline
0.38 & 6.9041921476188 & 0.142950534673733 \tabularnewline
0.39 & 6.93287874538725 & 0.150159716964378 \tabularnewline
0.4 & 6.96283495237554 & 0.157887996210942 \tabularnewline
0.41 & 6.99413672400861 & 0.165860943482409 \tabularnewline
0.42 & 7.02679743975669 & 0.173736072938759 \tabularnewline
0.43 & 7.06075524502859 & 0.181106439780946 \tabularnewline
0.44 & 7.09586116387394 & 0.187486826494154 \tabularnewline
0.45 & 7.13187014549873 & 0.19234174248018 \tabularnewline
0.46 & 7.1684381295075 & 0.195114369698814 \tabularnewline
0.47 & 7.20512842629354 & 0.195301062863573 \tabularnewline
0.48 & 7.24142991798756 & 0.192500014683489 \tabularnewline
0.49 & 7.27678778321912 & 0.186532235536735 \tabularnewline
0.5 & 7.31064495253936 & 0.177445967117365 \tabularnewline
0.51 & 7.3424898901359 & 0.165577833915005 \tabularnewline
0.52 & 7.37190425965143 & 0.151531068708508 \tabularnewline
0.53 & 7.39860316671743 & 0.136102960220441 \tabularnewline
0.54 & 7.42246130992789 & 0.120223305525068 \tabularnewline
0.55 & 7.44352047686393 & 0.104835937970537 \tabularnewline
0.56 & 7.4619769866744 & 0.0907999057022792 \tabularnewline
0.57 & 7.47815123562571 & 0.0787929420331789 \tabularnewline
0.58 & 7.49244467995497 & 0.0692612912888162 \tabularnewline
0.59 & 7.5052917091388 & 0.062337505468991 \tabularnewline
0.6 & 7.51711447630169 & 0.0578485857747877 \tabularnewline
0.61 & 7.52828774292313 & 0.0553540644730398 \tabularnewline
0.62 & 7.53911839397591 & 0.05429762980478 \tabularnewline
0.63 & 7.54984102167834 & 0.0541487395465532 \tabularnewline
0.64 & 7.56062759048715 & 0.05453927330117 \tabularnewline
0.65 & 7.57160645016454 & 0.0552851443254769 \tabularnewline
0.66 & 7.58288448040018 & 0.0563723598852361 \tabularnewline
0.67 & 7.59456623757232 & 0.0578947139308708 \tabularnewline
0.68 & 7.60676552030515 & 0.0599785670892926 \tabularnewline
0.69 & 7.61960725506059 & 0.0627011972711311 \tabularnewline
0.7 & 7.63322024483633 & 0.0660469569314074 \tabularnewline
0.71 & 7.64772333858997 & 0.0698878207607564 \tabularnewline
0.72 & 7.66320846244117 & 0.07402249446897 \tabularnewline
0.73 & 7.67972368013404 & 0.0781772246745825 \tabularnewline
0.74 & 7.69725848510973 & 0.0820579266720222 \tabularnewline
0.75 & 7.71573262370684 & 0.0853442981379368 \tabularnewline
0.76 & 7.73498958966662 & 0.0877091982356334 \tabularnewline
0.77 & 7.75479673991944 & 0.0888477885976837 \tabularnewline
0.78 & 7.77485529507129 & 0.0884844578472582 \tabularnewline
0.79 & 7.79482420212683 & 0.0864529822433706 \tabularnewline
0.8 & 7.81436061546758 & 0.082774250037593 \tabularnewline
0.81 & 7.83317571816996 & 0.0777011507239534 \tabularnewline
0.82 & 7.85109810647057 & 0.0717842103284533 \tabularnewline
0.83 & 7.86813002208651 & 0.0658407618124082 \tabularnewline
0.84 & 7.8844777314412 & 0.0608699902132572 \tabularnewline
0.85 & 7.90053970283159 & 0.05780805236931 \tabularnewline
0.86 & 7.91684619151177 & 0.0571763464931842 \tabularnewline
0.87 & 7.93395894644549 & 0.0588211720339936 \tabularnewline
0.88 & 7.95235441982403 & 0.0619272173169167 \tabularnewline
0.89 & 7.97232280882657 & 0.0653895777610814 \tabularnewline
0.9 & 7.99391697627707 & 0.0681382312409815 \tabularnewline
0.91 & 8.01697981429052 & 0.069367575745782 \tabularnewline
0.92 & 8.04125761255825 & 0.0687453439652157 \tabularnewline
0.93 & 8.06654959212129 & 0.0666460950176874 \tabularnewline
0.94 & 8.09274648187756 & 0.064110900866548 \tabularnewline
0.95 & 8.11955661413836 & 0.0616698693352203 \tabularnewline
0.96 & 8.1458943067126 & 0.0573115466450004 \tabularnewline
0.97 & 8.16940410470684 & 0.0469202196790654 \tabularnewline
0.98 & 8.18701185988988 & 0.0292485215191172 \tabularnewline
0.99 & 8.19683072002729 & 0.0104314185658410 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17065&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]5.91559372359608[/C][C]0.0447734259306766[/C][/ROW]
[ROW][C]0.02[/C][C]5.9549291774722[/C][C]0.0992432441597344[/C][/ROW]
[ROW][C]0.03[/C][C]6.01367250167044[/C][C]0.131661296507757[/C][/ROW]
[ROW][C]0.04[/C][C]6.07962253780043[/C][C]0.135058375495624[/C][/ROW]
[ROW][C]0.05[/C][C]6.14129558824701[/C][C]0.118931602506441[/C][/ROW]
[ROW][C]0.06[/C][C]6.19234827840703[/C][C]0.0956421944455012[/C][/ROW]
[ROW][C]0.07[/C][C]6.23144868125486[/C][C]0.0735033639381294[/C][/ROW]
[ROW][C]0.08[/C][C]6.2602632921916[/C][C]0.056325318607393[/C][/ROW]
[ROW][C]0.09[/C][C]6.28158469078356[/C][C]0.0454458544431382[/C][/ROW]
[ROW][C]0.1[/C][C]6.29821524370424[/C][C]0.0410390552177845[/C][/ROW]
[ROW][C]0.11[/C][C]6.31246189892078[/C][C]0.0419570080185154[/C][/ROW]
[ROW][C]0.12[/C][C]6.32597401904407[/C][C]0.0460175043064692[/C][/ROW]
[ROW][C]0.13[/C][C]6.33976281742204[/C][C]0.0512358234915222[/C][/ROW]
[ROW][C]0.14[/C][C]6.35432678328437[/C][C]0.0564614731348168[/C][/ROW]
[ROW][C]0.15[/C][C]6.36982946336802[/C][C]0.0613289255411571[/C][/ROW]
[ROW][C]0.16[/C][C]6.38627516187728[/C][C]0.0660231720900953[/C][/ROW]
[ROW][C]0.17[/C][C]6.40363808538783[/C][C]0.0709312459761938[/C][/ROW]
[ROW][C]0.18[/C][C]6.42192512898582[/C][C]0.076345998638125[/C][/ROW]
[ROW][C]0.19[/C][C]6.44117951725901[/C][C]0.0822838987024507[/C][/ROW]
[ROW][C]0.2[/C][C]6.46144970834623[/C][C]0.0885094536210866[/C][/ROW]
[ROW][C]0.21[/C][C]6.48275105183714[/C][C]0.0946706342026327[/C][/ROW]
[ROW][C]0.22[/C][C]6.50503991210482[/C][C]0.100376211955584[/C][/ROW]
[ROW][C]0.23[/C][C]6.52820803338184[/C][C]0.105335570808715[/C][/ROW]
[ROW][C]0.24[/C][C]6.55209483540038[/C][C]0.109385367164823[/C][/ROW]
[ROW][C]0.25[/C][C]6.57651011043593[/C][C]0.112477610646367[/C][/ROW]
[ROW][C]0.26[/C][C]6.60125916980353[/C][C]0.114654620205823[/C][/ROW]
[ROW][C]0.27[/C][C]6.62616494616273[/C][C]0.116059649835515[/C][/ROW]
[ROW][C]0.28[/C][C]6.65108467447135[/C][C]0.116857537744545[/C][/ROW]
[ROW][C]0.29[/C][C]6.67592104855129[/C][C]0.117287657361339[/C][/ROW]
[ROW][C]0.3[/C][C]6.70062870452103[/C][C]0.117588867104998[/C][/ROW]
[ROW][C]0.31[/C][C]6.72521681676906[/C][C]0.118039428387918[/C][/ROW]
[ROW][C]0.32[/C][C]6.7497481257342[/C][C]0.118914682537593[/C][/ROW]
[ROW][C]0.33[/C][C]6.77433438900058[/C][C]0.120479616358980[/C][/ROW]
[ROW][C]0.34[/C][C]6.7991283081208[/C][C]0.122929001339612[/C][/ROW]
[ROW][C]0.35[/C][C]6.82431237674384[/C][C]0.126391975946315[/C][/ROW]
[ROW][C]0.36[/C][C]6.850085570762[/C][C]0.130924135488747[/C][/ROW]
[ROW][C]0.37[/C][C]6.87664907570846[/C][C]0.136479196734409[/C][/ROW]
[ROW][C]0.38[/C][C]6.9041921476188[/C][C]0.142950534673733[/C][/ROW]
[ROW][C]0.39[/C][C]6.93287874538725[/C][C]0.150159716964378[/C][/ROW]
[ROW][C]0.4[/C][C]6.96283495237554[/C][C]0.157887996210942[/C][/ROW]
[ROW][C]0.41[/C][C]6.99413672400861[/C][C]0.165860943482409[/C][/ROW]
[ROW][C]0.42[/C][C]7.02679743975669[/C][C]0.173736072938759[/C][/ROW]
[ROW][C]0.43[/C][C]7.06075524502859[/C][C]0.181106439780946[/C][/ROW]
[ROW][C]0.44[/C][C]7.09586116387394[/C][C]0.187486826494154[/C][/ROW]
[ROW][C]0.45[/C][C]7.13187014549873[/C][C]0.19234174248018[/C][/ROW]
[ROW][C]0.46[/C][C]7.1684381295075[/C][C]0.195114369698814[/C][/ROW]
[ROW][C]0.47[/C][C]7.20512842629354[/C][C]0.195301062863573[/C][/ROW]
[ROW][C]0.48[/C][C]7.24142991798756[/C][C]0.192500014683489[/C][/ROW]
[ROW][C]0.49[/C][C]7.27678778321912[/C][C]0.186532235536735[/C][/ROW]
[ROW][C]0.5[/C][C]7.31064495253936[/C][C]0.177445967117365[/C][/ROW]
[ROW][C]0.51[/C][C]7.3424898901359[/C][C]0.165577833915005[/C][/ROW]
[ROW][C]0.52[/C][C]7.37190425965143[/C][C]0.151531068708508[/C][/ROW]
[ROW][C]0.53[/C][C]7.39860316671743[/C][C]0.136102960220441[/C][/ROW]
[ROW][C]0.54[/C][C]7.42246130992789[/C][C]0.120223305525068[/C][/ROW]
[ROW][C]0.55[/C][C]7.44352047686393[/C][C]0.104835937970537[/C][/ROW]
[ROW][C]0.56[/C][C]7.4619769866744[/C][C]0.0907999057022792[/C][/ROW]
[ROW][C]0.57[/C][C]7.47815123562571[/C][C]0.0787929420331789[/C][/ROW]
[ROW][C]0.58[/C][C]7.49244467995497[/C][C]0.0692612912888162[/C][/ROW]
[ROW][C]0.59[/C][C]7.5052917091388[/C][C]0.062337505468991[/C][/ROW]
[ROW][C]0.6[/C][C]7.51711447630169[/C][C]0.0578485857747877[/C][/ROW]
[ROW][C]0.61[/C][C]7.52828774292313[/C][C]0.0553540644730398[/C][/ROW]
[ROW][C]0.62[/C][C]7.53911839397591[/C][C]0.05429762980478[/C][/ROW]
[ROW][C]0.63[/C][C]7.54984102167834[/C][C]0.0541487395465532[/C][/ROW]
[ROW][C]0.64[/C][C]7.56062759048715[/C][C]0.05453927330117[/C][/ROW]
[ROW][C]0.65[/C][C]7.57160645016454[/C][C]0.0552851443254769[/C][/ROW]
[ROW][C]0.66[/C][C]7.58288448040018[/C][C]0.0563723598852361[/C][/ROW]
[ROW][C]0.67[/C][C]7.59456623757232[/C][C]0.0578947139308708[/C][/ROW]
[ROW][C]0.68[/C][C]7.60676552030515[/C][C]0.0599785670892926[/C][/ROW]
[ROW][C]0.69[/C][C]7.61960725506059[/C][C]0.0627011972711311[/C][/ROW]
[ROW][C]0.7[/C][C]7.63322024483633[/C][C]0.0660469569314074[/C][/ROW]
[ROW][C]0.71[/C][C]7.64772333858997[/C][C]0.0698878207607564[/C][/ROW]
[ROW][C]0.72[/C][C]7.66320846244117[/C][C]0.07402249446897[/C][/ROW]
[ROW][C]0.73[/C][C]7.67972368013404[/C][C]0.0781772246745825[/C][/ROW]
[ROW][C]0.74[/C][C]7.69725848510973[/C][C]0.0820579266720222[/C][/ROW]
[ROW][C]0.75[/C][C]7.71573262370684[/C][C]0.0853442981379368[/C][/ROW]
[ROW][C]0.76[/C][C]7.73498958966662[/C][C]0.0877091982356334[/C][/ROW]
[ROW][C]0.77[/C][C]7.75479673991944[/C][C]0.0888477885976837[/C][/ROW]
[ROW][C]0.78[/C][C]7.77485529507129[/C][C]0.0884844578472582[/C][/ROW]
[ROW][C]0.79[/C][C]7.79482420212683[/C][C]0.0864529822433706[/C][/ROW]
[ROW][C]0.8[/C][C]7.81436061546758[/C][C]0.082774250037593[/C][/ROW]
[ROW][C]0.81[/C][C]7.83317571816996[/C][C]0.0777011507239534[/C][/ROW]
[ROW][C]0.82[/C][C]7.85109810647057[/C][C]0.0717842103284533[/C][/ROW]
[ROW][C]0.83[/C][C]7.86813002208651[/C][C]0.0658407618124082[/C][/ROW]
[ROW][C]0.84[/C][C]7.8844777314412[/C][C]0.0608699902132572[/C][/ROW]
[ROW][C]0.85[/C][C]7.90053970283159[/C][C]0.05780805236931[/C][/ROW]
[ROW][C]0.86[/C][C]7.91684619151177[/C][C]0.0571763464931842[/C][/ROW]
[ROW][C]0.87[/C][C]7.93395894644549[/C][C]0.0588211720339936[/C][/ROW]
[ROW][C]0.88[/C][C]7.95235441982403[/C][C]0.0619272173169167[/C][/ROW]
[ROW][C]0.89[/C][C]7.97232280882657[/C][C]0.0653895777610814[/C][/ROW]
[ROW][C]0.9[/C][C]7.99391697627707[/C][C]0.0681382312409815[/C][/ROW]
[ROW][C]0.91[/C][C]8.01697981429052[/C][C]0.069367575745782[/C][/ROW]
[ROW][C]0.92[/C][C]8.04125761255825[/C][C]0.0687453439652157[/C][/ROW]
[ROW][C]0.93[/C][C]8.06654959212129[/C][C]0.0666460950176874[/C][/ROW]
[ROW][C]0.94[/C][C]8.09274648187756[/C][C]0.064110900866548[/C][/ROW]
[ROW][C]0.95[/C][C]8.11955661413836[/C][C]0.0616698693352203[/C][/ROW]
[ROW][C]0.96[/C][C]8.1458943067126[/C][C]0.0573115466450004[/C][/ROW]
[ROW][C]0.97[/C][C]8.16940410470684[/C][C]0.0469202196790654[/C][/ROW]
[ROW][C]0.98[/C][C]8.18701185988988[/C][C]0.0292485215191172[/C][/ROW]
[ROW][C]0.99[/C][C]8.19683072002729[/C][C]0.0104314185658410[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17065&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17065&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
0.015.915593723596080.0447734259306766
0.025.95492917747220.0992432441597344
0.036.013672501670440.131661296507757
0.046.079622537800430.135058375495624
0.056.141295588247010.118931602506441
0.066.192348278407030.0956421944455012
0.076.231448681254860.0735033639381294
0.086.26026329219160.056325318607393
0.096.281584690783560.0454458544431382
0.16.298215243704240.0410390552177845
0.116.312461898920780.0419570080185154
0.126.325974019044070.0460175043064692
0.136.339762817422040.0512358234915222
0.146.354326783284370.0564614731348168
0.156.369829463368020.0613289255411571
0.166.386275161877280.0660231720900953
0.176.403638085387830.0709312459761938
0.186.421925128985820.076345998638125
0.196.441179517259010.0822838987024507
0.26.461449708346230.0885094536210866
0.216.482751051837140.0946706342026327
0.226.505039912104820.100376211955584
0.236.528208033381840.105335570808715
0.246.552094835400380.109385367164823
0.256.576510110435930.112477610646367
0.266.601259169803530.114654620205823
0.276.626164946162730.116059649835515
0.286.651084674471350.116857537744545
0.296.675921048551290.117287657361339
0.36.700628704521030.117588867104998
0.316.725216816769060.118039428387918
0.326.74974812573420.118914682537593
0.336.774334389000580.120479616358980
0.346.79912830812080.122929001339612
0.356.824312376743840.126391975946315
0.366.8500855707620.130924135488747
0.376.876649075708460.136479196734409
0.386.90419214761880.142950534673733
0.396.932878745387250.150159716964378
0.46.962834952375540.157887996210942
0.416.994136724008610.165860943482409
0.427.026797439756690.173736072938759
0.437.060755245028590.181106439780946
0.447.095861163873940.187486826494154
0.457.131870145498730.19234174248018
0.467.16843812950750.195114369698814
0.477.205128426293540.195301062863573
0.487.241429917987560.192500014683489
0.497.276787783219120.186532235536735
0.57.310644952539360.177445967117365
0.517.34248989013590.165577833915005
0.527.371904259651430.151531068708508
0.537.398603166717430.136102960220441
0.547.422461309927890.120223305525068
0.557.443520476863930.104835937970537
0.567.46197698667440.0907999057022792
0.577.478151235625710.0787929420331789
0.587.492444679954970.0692612912888162
0.597.50529170913880.062337505468991
0.67.517114476301690.0578485857747877
0.617.528287742923130.0553540644730398
0.627.539118393975910.05429762980478
0.637.549841021678340.0541487395465532
0.647.560627590487150.05453927330117
0.657.571606450164540.0552851443254769
0.667.582884480400180.0563723598852361
0.677.594566237572320.0578947139308708
0.687.606765520305150.0599785670892926
0.697.619607255060590.0627011972711311
0.77.633220244836330.0660469569314074
0.717.647723338589970.0698878207607564
0.727.663208462441170.07402249446897
0.737.679723680134040.0781772246745825
0.747.697258485109730.0820579266720222
0.757.715732623706840.0853442981379368
0.767.734989589666620.0877091982356334
0.777.754796739919440.0888477885976837
0.787.774855295071290.0884844578472582
0.797.794824202126830.0864529822433706
0.87.814360615467580.082774250037593
0.817.833175718169960.0777011507239534
0.827.851098106470570.0717842103284533
0.837.868130022086510.0658407618124082
0.847.88447773144120.0608699902132572
0.857.900539702831590.05780805236931
0.867.916846191511770.0571763464931842
0.877.933958946445490.0588211720339936
0.887.952354419824030.0619272173169167
0.897.972322808826570.0653895777610814
0.97.993916976277070.0681382312409815
0.918.016979814290520.069367575745782
0.928.041257612558250.0687453439652157
0.938.066549592121290.0666460950176874
0.948.092746481877560.064110900866548
0.958.119556614138360.0616698693352203
0.968.14589430671260.0573115466450004
0.978.169404104706840.0469202196790654
0.988.187011859889880.0292485215191172
0.998.196830720027290.0104314185658410


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')