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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, 02 Mar 2008 13:30:08 -0700
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/Mar/02/t1204489842t0f2k3niua19wq7.htm/, Retrieved Mon, 06 May 2024 15:34:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9723, Retrieved Mon, 06 May 2024 15:34:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

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] [prijsevolutie har...] [2008-03-02 20:30:08] [01e9b7c485def8aabed90073ada23605] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6,8400
6,8600
6,8600
6,8400
6,9200
6,9300
6,9700
6,9400
7,0000
6,9200
6,9800
6,9700
6,9700
7,0000
6,9300
6,9400
6,9700
6,9700
6,9400
7,0200
7,0600
7,0200
7,0200
6,9800
6,9600
7,0200
7,0000
7,1300
7,0800
7,1100
7,0600
7,0300
7,1300
7,0900
7,1100
7,0500
7,0600
7,1100
7,0500
7,0600
7,0300
7,0200
7,0900
7,1100
7,1200
7,0300
7,0200
7,1000
7,1300
7,0800
6,9900
7,0400
6,9800
6,9100
6,8700
6,8100
6,8800
6,8200
6,7700
6,7500
6,6800
6,5900
6,6500
6,5600
6,6200
6,5700
6,5500
6,5700
6,5300
6,5700
6,4800
6,4900
6,5300
6,4800
6,4900
6,4800
6,5200
6,4600
6,4600
6,4900
6,5100
6,5100
6,5400
6,5400
6,5300

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9723&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9723&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.462106064051010.005684270286822
0.026.466671679057540.00972305617019582
0.036.472284906041280.00978218851440442
0.046.477550511514780.0085026683148899
0.056.482087009583180.00833136559648237
0.066.486222407845210.00951380606694058
0.076.490399646881580.0113442597732780
0.086.494879786917240.0132643224732388
0.096.499717305319030.0149104614364721
0.16.504832968312130.0160725647866707
0.116.510091549640880.0167087704700573
0.126.515363177608440.0169515532788603
0.136.520566302420650.0170584202974985
0.146.525690559752770.0173307460387634
0.156.530800243963530.0180674162983843
0.166.536024120169740.0194854535342373
0.176.541539892272960.0217501259223307
0.186.547559947576270.0249960962624314
0.196.554320609587860.02935502743854
0.26.562072761152140.0348906649927629
0.216.57106943563340.0416485253671916
0.226.581546590883230.0495203688595418
0.236.593696258726730.0582230661441079
0.246.607635196055660.0673229737519534
0.256.62337538878620.0762300112449538
0.266.640803991880190.0842903569385825
0.276.659679047559460.090900325009282
0.286.679644021591080.0955245583739483
0.296.700259899770420.0978806968637623
0.36.721049588166560.0978864597107063
0.316.741546751970150.095687989560014
0.326.761340597509970.0916669757401179
0.336.780109439516790.0863168598062389
0.346.797638681813020.0801893023144513
0.356.813822260014210.0738043181605963
0.366.828649792623050.0676118540948467
0.376.842183980157920.0618938456496556
0.386.85453380934990.0568163063104781
0.396.865828837581460.0523952332718731
0.46.876198525939930.0485546693152245
0.416.885758719476890.0451853710909968
0.426.894605455118280.0421575941651362
0.436.9028147517950.0393757347819142
0.446.91044617836420.0367729776552532
0.456.917547869887960.0343306439461432
0.466.924161144772950.0320530852745924
0.476.93032370297130.0299353610939359
0.486.93607125164750.0279802630497621
0.496.941438046916230.0261898099862021
0.56.946457108996350.0245470402561756
0.516.951160754958440.0230415373829143
0.526.955581713338060.0216743855481273
0.536.959754623721050.0204613577285126
0.546.963717368796280.0194264435694057
0.556.967511563686430.0186106123368217
0.566.971181671863190.0180213557719553
0.576.974772570904370.0176878942955559
0.586.978325835720540.0175678560241350
0.596.981875406553280.0176190276788422
0.66.985443554845860.0177606550477166
0.616.989038094234070.0179042311639684
0.626.992651604659080.0179545797535381
0.636.99626308779150.0178591239906522
0.646.999842021067840.0175582608407337
0.657.003354306233450.0170553285184142
0.667.006769198162280.0163783094579269
0.677.010066027549550.0155907956051041
0.687.013239460464580.0147838413942988
0.697.016302207051390.0140681569447532
0.77.019284499719740.0135324907137879
0.717.022230257539320.0132492913716386
0.727.025190539350340.0132488384612345
0.737.028215528981850.0134976203468591
0.747.031346743501110.0139198680948203
0.757.034611272076250.0144183299191909
0.767.038019540385860.0148961691545368
0.777.041567330073580.0152692430020626
0.787.045241660208480.0155141125674923
0.797.049028908558260.0156388965969174
0.87.052922607228070.0156997949761738
0.817.056928118660230.0157734129809790
0.827.061062145444970.0159218795861599
0.837.065346623803320.0161649841646792
0.847.069798408879290.016446799440346
0.857.07441747122370.0166813398061756
0.867.079176591974260.0167483152890515
0.877.084015094417870.0165310391969316
0.887.088839057427610.015942084395432
0.897.093531514840540.0149249462183071
0.97.097977237386830.0134925162270560
0.917.102103981419820.0117807412767639
0.927.105930937559540.0100907656538822
0.937.109595697257010.0088706486796413
0.947.113315552884530.00848486564095785
0.957.117253342447310.00870570510779626
0.967.121326658262650.00861240207789372
0.977.125103540017130.0072303081871139
0.987.12796353277710.00446019972763362
0.997.129526265568830.00152536934062648

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.46210606405101 & 0.005684270286822 \tabularnewline
0.02 & 6.46667167905754 & 0.00972305617019582 \tabularnewline
0.03 & 6.47228490604128 & 0.00978218851440442 \tabularnewline
0.04 & 6.47755051151478 & 0.0085026683148899 \tabularnewline
0.05 & 6.48208700958318 & 0.00833136559648237 \tabularnewline
0.06 & 6.48622240784521 & 0.00951380606694058 \tabularnewline
0.07 & 6.49039964688158 & 0.0113442597732780 \tabularnewline
0.08 & 6.49487978691724 & 0.0132643224732388 \tabularnewline
0.09 & 6.49971730531903 & 0.0149104614364721 \tabularnewline
0.1 & 6.50483296831213 & 0.0160725647866707 \tabularnewline
0.11 & 6.51009154964088 & 0.0167087704700573 \tabularnewline
0.12 & 6.51536317760844 & 0.0169515532788603 \tabularnewline
0.13 & 6.52056630242065 & 0.0170584202974985 \tabularnewline
0.14 & 6.52569055975277 & 0.0173307460387634 \tabularnewline
0.15 & 6.53080024396353 & 0.0180674162983843 \tabularnewline
0.16 & 6.53602412016974 & 0.0194854535342373 \tabularnewline
0.17 & 6.54153989227296 & 0.0217501259223307 \tabularnewline
0.18 & 6.54755994757627 & 0.0249960962624314 \tabularnewline
0.19 & 6.55432060958786 & 0.02935502743854 \tabularnewline
0.2 & 6.56207276115214 & 0.0348906649927629 \tabularnewline
0.21 & 6.5710694356334 & 0.0416485253671916 \tabularnewline
0.22 & 6.58154659088323 & 0.0495203688595418 \tabularnewline
0.23 & 6.59369625872673 & 0.0582230661441079 \tabularnewline
0.24 & 6.60763519605566 & 0.0673229737519534 \tabularnewline
0.25 & 6.6233753887862 & 0.0762300112449538 \tabularnewline
0.26 & 6.64080399188019 & 0.0842903569385825 \tabularnewline
0.27 & 6.65967904755946 & 0.090900325009282 \tabularnewline
0.28 & 6.67964402159108 & 0.0955245583739483 \tabularnewline
0.29 & 6.70025989977042 & 0.0978806968637623 \tabularnewline
0.3 & 6.72104958816656 & 0.0978864597107063 \tabularnewline
0.31 & 6.74154675197015 & 0.095687989560014 \tabularnewline
0.32 & 6.76134059750997 & 0.0916669757401179 \tabularnewline
0.33 & 6.78010943951679 & 0.0863168598062389 \tabularnewline
0.34 & 6.79763868181302 & 0.0801893023144513 \tabularnewline
0.35 & 6.81382226001421 & 0.0738043181605963 \tabularnewline
0.36 & 6.82864979262305 & 0.0676118540948467 \tabularnewline
0.37 & 6.84218398015792 & 0.0618938456496556 \tabularnewline
0.38 & 6.8545338093499 & 0.0568163063104781 \tabularnewline
0.39 & 6.86582883758146 & 0.0523952332718731 \tabularnewline
0.4 & 6.87619852593993 & 0.0485546693152245 \tabularnewline
0.41 & 6.88575871947689 & 0.0451853710909968 \tabularnewline
0.42 & 6.89460545511828 & 0.0421575941651362 \tabularnewline
0.43 & 6.902814751795 & 0.0393757347819142 \tabularnewline
0.44 & 6.9104461783642 & 0.0367729776552532 \tabularnewline
0.45 & 6.91754786988796 & 0.0343306439461432 \tabularnewline
0.46 & 6.92416114477295 & 0.0320530852745924 \tabularnewline
0.47 & 6.9303237029713 & 0.0299353610939359 \tabularnewline
0.48 & 6.9360712516475 & 0.0279802630497621 \tabularnewline
0.49 & 6.94143804691623 & 0.0261898099862021 \tabularnewline
0.5 & 6.94645710899635 & 0.0245470402561756 \tabularnewline
0.51 & 6.95116075495844 & 0.0230415373829143 \tabularnewline
0.52 & 6.95558171333806 & 0.0216743855481273 \tabularnewline
0.53 & 6.95975462372105 & 0.0204613577285126 \tabularnewline
0.54 & 6.96371736879628 & 0.0194264435694057 \tabularnewline
0.55 & 6.96751156368643 & 0.0186106123368217 \tabularnewline
0.56 & 6.97118167186319 & 0.0180213557719553 \tabularnewline
0.57 & 6.97477257090437 & 0.0176878942955559 \tabularnewline
0.58 & 6.97832583572054 & 0.0175678560241350 \tabularnewline
0.59 & 6.98187540655328 & 0.0176190276788422 \tabularnewline
0.6 & 6.98544355484586 & 0.0177606550477166 \tabularnewline
0.61 & 6.98903809423407 & 0.0179042311639684 \tabularnewline
0.62 & 6.99265160465908 & 0.0179545797535381 \tabularnewline
0.63 & 6.9962630877915 & 0.0178591239906522 \tabularnewline
0.64 & 6.99984202106784 & 0.0175582608407337 \tabularnewline
0.65 & 7.00335430623345 & 0.0170553285184142 \tabularnewline
0.66 & 7.00676919816228 & 0.0163783094579269 \tabularnewline
0.67 & 7.01006602754955 & 0.0155907956051041 \tabularnewline
0.68 & 7.01323946046458 & 0.0147838413942988 \tabularnewline
0.69 & 7.01630220705139 & 0.0140681569447532 \tabularnewline
0.7 & 7.01928449971974 & 0.0135324907137879 \tabularnewline
0.71 & 7.02223025753932 & 0.0132492913716386 \tabularnewline
0.72 & 7.02519053935034 & 0.0132488384612345 \tabularnewline
0.73 & 7.02821552898185 & 0.0134976203468591 \tabularnewline
0.74 & 7.03134674350111 & 0.0139198680948203 \tabularnewline
0.75 & 7.03461127207625 & 0.0144183299191909 \tabularnewline
0.76 & 7.03801954038586 & 0.0148961691545368 \tabularnewline
0.77 & 7.04156733007358 & 0.0152692430020626 \tabularnewline
0.78 & 7.04524166020848 & 0.0155141125674923 \tabularnewline
0.79 & 7.04902890855826 & 0.0156388965969174 \tabularnewline
0.8 & 7.05292260722807 & 0.0156997949761738 \tabularnewline
0.81 & 7.05692811866023 & 0.0157734129809790 \tabularnewline
0.82 & 7.06106214544497 & 0.0159218795861599 \tabularnewline
0.83 & 7.06534662380332 & 0.0161649841646792 \tabularnewline
0.84 & 7.06979840887929 & 0.016446799440346 \tabularnewline
0.85 & 7.0744174712237 & 0.0166813398061756 \tabularnewline
0.86 & 7.07917659197426 & 0.0167483152890515 \tabularnewline
0.87 & 7.08401509441787 & 0.0165310391969316 \tabularnewline
0.88 & 7.08883905742761 & 0.015942084395432 \tabularnewline
0.89 & 7.09353151484054 & 0.0149249462183071 \tabularnewline
0.9 & 7.09797723738683 & 0.0134925162270560 \tabularnewline
0.91 & 7.10210398141982 & 0.0117807412767639 \tabularnewline
0.92 & 7.10593093755954 & 0.0100907656538822 \tabularnewline
0.93 & 7.10959569725701 & 0.0088706486796413 \tabularnewline
0.94 & 7.11331555288453 & 0.00848486564095785 \tabularnewline
0.95 & 7.11725334244731 & 0.00870570510779626 \tabularnewline
0.96 & 7.12132665826265 & 0.00861240207789372 \tabularnewline
0.97 & 7.12510354001713 & 0.0072303081871139 \tabularnewline
0.98 & 7.1279635327771 & 0.00446019972763362 \tabularnewline
0.99 & 7.12952626556883 & 0.00152536934062648 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9723&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]6.46210606405101[/C][C]0.005684270286822[/C][/ROW]
[ROW][C]0.02[/C][C]6.46667167905754[/C][C]0.00972305617019582[/C][/ROW]
[ROW][C]0.03[/C][C]6.47228490604128[/C][C]0.00978218851440442[/C][/ROW]
[ROW][C]0.04[/C][C]6.47755051151478[/C][C]0.0085026683148899[/C][/ROW]
[ROW][C]0.05[/C][C]6.48208700958318[/C][C]0.00833136559648237[/C][/ROW]
[ROW][C]0.06[/C][C]6.48622240784521[/C][C]0.00951380606694058[/C][/ROW]
[ROW][C]0.07[/C][C]6.49039964688158[/C][C]0.0113442597732780[/C][/ROW]
[ROW][C]0.08[/C][C]6.49487978691724[/C][C]0.0132643224732388[/C][/ROW]
[ROW][C]0.09[/C][C]6.49971730531903[/C][C]0.0149104614364721[/C][/ROW]
[ROW][C]0.1[/C][C]6.50483296831213[/C][C]0.0160725647866707[/C][/ROW]
[ROW][C]0.11[/C][C]6.51009154964088[/C][C]0.0167087704700573[/C][/ROW]
[ROW][C]0.12[/C][C]6.51536317760844[/C][C]0.0169515532788603[/C][/ROW]
[ROW][C]0.13[/C][C]6.52056630242065[/C][C]0.0170584202974985[/C][/ROW]
[ROW][C]0.14[/C][C]6.52569055975277[/C][C]0.0173307460387634[/C][/ROW]
[ROW][C]0.15[/C][C]6.53080024396353[/C][C]0.0180674162983843[/C][/ROW]
[ROW][C]0.16[/C][C]6.53602412016974[/C][C]0.0194854535342373[/C][/ROW]
[ROW][C]0.17[/C][C]6.54153989227296[/C][C]0.0217501259223307[/C][/ROW]
[ROW][C]0.18[/C][C]6.54755994757627[/C][C]0.0249960962624314[/C][/ROW]
[ROW][C]0.19[/C][C]6.55432060958786[/C][C]0.02935502743854[/C][/ROW]
[ROW][C]0.2[/C][C]6.56207276115214[/C][C]0.0348906649927629[/C][/ROW]
[ROW][C]0.21[/C][C]6.5710694356334[/C][C]0.0416485253671916[/C][/ROW]
[ROW][C]0.22[/C][C]6.58154659088323[/C][C]0.0495203688595418[/C][/ROW]
[ROW][C]0.23[/C][C]6.59369625872673[/C][C]0.0582230661441079[/C][/ROW]
[ROW][C]0.24[/C][C]6.60763519605566[/C][C]0.0673229737519534[/C][/ROW]
[ROW][C]0.25[/C][C]6.6233753887862[/C][C]0.0762300112449538[/C][/ROW]
[ROW][C]0.26[/C][C]6.64080399188019[/C][C]0.0842903569385825[/C][/ROW]
[ROW][C]0.27[/C][C]6.65967904755946[/C][C]0.090900325009282[/C][/ROW]
[ROW][C]0.28[/C][C]6.67964402159108[/C][C]0.0955245583739483[/C][/ROW]
[ROW][C]0.29[/C][C]6.70025989977042[/C][C]0.0978806968637623[/C][/ROW]
[ROW][C]0.3[/C][C]6.72104958816656[/C][C]0.0978864597107063[/C][/ROW]
[ROW][C]0.31[/C][C]6.74154675197015[/C][C]0.095687989560014[/C][/ROW]
[ROW][C]0.32[/C][C]6.76134059750997[/C][C]0.0916669757401179[/C][/ROW]
[ROW][C]0.33[/C][C]6.78010943951679[/C][C]0.0863168598062389[/C][/ROW]
[ROW][C]0.34[/C][C]6.79763868181302[/C][C]0.0801893023144513[/C][/ROW]
[ROW][C]0.35[/C][C]6.81382226001421[/C][C]0.0738043181605963[/C][/ROW]
[ROW][C]0.36[/C][C]6.82864979262305[/C][C]0.0676118540948467[/C][/ROW]
[ROW][C]0.37[/C][C]6.84218398015792[/C][C]0.0618938456496556[/C][/ROW]
[ROW][C]0.38[/C][C]6.8545338093499[/C][C]0.0568163063104781[/C][/ROW]
[ROW][C]0.39[/C][C]6.86582883758146[/C][C]0.0523952332718731[/C][/ROW]
[ROW][C]0.4[/C][C]6.87619852593993[/C][C]0.0485546693152245[/C][/ROW]
[ROW][C]0.41[/C][C]6.88575871947689[/C][C]0.0451853710909968[/C][/ROW]
[ROW][C]0.42[/C][C]6.89460545511828[/C][C]0.0421575941651362[/C][/ROW]
[ROW][C]0.43[/C][C]6.902814751795[/C][C]0.0393757347819142[/C][/ROW]
[ROW][C]0.44[/C][C]6.9104461783642[/C][C]0.0367729776552532[/C][/ROW]
[ROW][C]0.45[/C][C]6.91754786988796[/C][C]0.0343306439461432[/C][/ROW]
[ROW][C]0.46[/C][C]6.92416114477295[/C][C]0.0320530852745924[/C][/ROW]
[ROW][C]0.47[/C][C]6.9303237029713[/C][C]0.0299353610939359[/C][/ROW]
[ROW][C]0.48[/C][C]6.9360712516475[/C][C]0.0279802630497621[/C][/ROW]
[ROW][C]0.49[/C][C]6.94143804691623[/C][C]0.0261898099862021[/C][/ROW]
[ROW][C]0.5[/C][C]6.94645710899635[/C][C]0.0245470402561756[/C][/ROW]
[ROW][C]0.51[/C][C]6.95116075495844[/C][C]0.0230415373829143[/C][/ROW]
[ROW][C]0.52[/C][C]6.95558171333806[/C][C]0.0216743855481273[/C][/ROW]
[ROW][C]0.53[/C][C]6.95975462372105[/C][C]0.0204613577285126[/C][/ROW]
[ROW][C]0.54[/C][C]6.96371736879628[/C][C]0.0194264435694057[/C][/ROW]
[ROW][C]0.55[/C][C]6.96751156368643[/C][C]0.0186106123368217[/C][/ROW]
[ROW][C]0.56[/C][C]6.97118167186319[/C][C]0.0180213557719553[/C][/ROW]
[ROW][C]0.57[/C][C]6.97477257090437[/C][C]0.0176878942955559[/C][/ROW]
[ROW][C]0.58[/C][C]6.97832583572054[/C][C]0.0175678560241350[/C][/ROW]
[ROW][C]0.59[/C][C]6.98187540655328[/C][C]0.0176190276788422[/C][/ROW]
[ROW][C]0.6[/C][C]6.98544355484586[/C][C]0.0177606550477166[/C][/ROW]
[ROW][C]0.61[/C][C]6.98903809423407[/C][C]0.0179042311639684[/C][/ROW]
[ROW][C]0.62[/C][C]6.99265160465908[/C][C]0.0179545797535381[/C][/ROW]
[ROW][C]0.63[/C][C]6.9962630877915[/C][C]0.0178591239906522[/C][/ROW]
[ROW][C]0.64[/C][C]6.99984202106784[/C][C]0.0175582608407337[/C][/ROW]
[ROW][C]0.65[/C][C]7.00335430623345[/C][C]0.0170553285184142[/C][/ROW]
[ROW][C]0.66[/C][C]7.00676919816228[/C][C]0.0163783094579269[/C][/ROW]
[ROW][C]0.67[/C][C]7.01006602754955[/C][C]0.0155907956051041[/C][/ROW]
[ROW][C]0.68[/C][C]7.01323946046458[/C][C]0.0147838413942988[/C][/ROW]
[ROW][C]0.69[/C][C]7.01630220705139[/C][C]0.0140681569447532[/C][/ROW]
[ROW][C]0.7[/C][C]7.01928449971974[/C][C]0.0135324907137879[/C][/ROW]
[ROW][C]0.71[/C][C]7.02223025753932[/C][C]0.0132492913716386[/C][/ROW]
[ROW][C]0.72[/C][C]7.02519053935034[/C][C]0.0132488384612345[/C][/ROW]
[ROW][C]0.73[/C][C]7.02821552898185[/C][C]0.0134976203468591[/C][/ROW]
[ROW][C]0.74[/C][C]7.03134674350111[/C][C]0.0139198680948203[/C][/ROW]
[ROW][C]0.75[/C][C]7.03461127207625[/C][C]0.0144183299191909[/C][/ROW]
[ROW][C]0.76[/C][C]7.03801954038586[/C][C]0.0148961691545368[/C][/ROW]
[ROW][C]0.77[/C][C]7.04156733007358[/C][C]0.0152692430020626[/C][/ROW]
[ROW][C]0.78[/C][C]7.04524166020848[/C][C]0.0155141125674923[/C][/ROW]
[ROW][C]0.79[/C][C]7.04902890855826[/C][C]0.0156388965969174[/C][/ROW]
[ROW][C]0.8[/C][C]7.05292260722807[/C][C]0.0156997949761738[/C][/ROW]
[ROW][C]0.81[/C][C]7.05692811866023[/C][C]0.0157734129809790[/C][/ROW]
[ROW][C]0.82[/C][C]7.06106214544497[/C][C]0.0159218795861599[/C][/ROW]
[ROW][C]0.83[/C][C]7.06534662380332[/C][C]0.0161649841646792[/C][/ROW]
[ROW][C]0.84[/C][C]7.06979840887929[/C][C]0.016446799440346[/C][/ROW]
[ROW][C]0.85[/C][C]7.0744174712237[/C][C]0.0166813398061756[/C][/ROW]
[ROW][C]0.86[/C][C]7.07917659197426[/C][C]0.0167483152890515[/C][/ROW]
[ROW][C]0.87[/C][C]7.08401509441787[/C][C]0.0165310391969316[/C][/ROW]
[ROW][C]0.88[/C][C]7.08883905742761[/C][C]0.015942084395432[/C][/ROW]
[ROW][C]0.89[/C][C]7.09353151484054[/C][C]0.0149249462183071[/C][/ROW]
[ROW][C]0.9[/C][C]7.09797723738683[/C][C]0.0134925162270560[/C][/ROW]
[ROW][C]0.91[/C][C]7.10210398141982[/C][C]0.0117807412767639[/C][/ROW]
[ROW][C]0.92[/C][C]7.10593093755954[/C][C]0.0100907656538822[/C][/ROW]
[ROW][C]0.93[/C][C]7.10959569725701[/C][C]0.0088706486796413[/C][/ROW]
[ROW][C]0.94[/C][C]7.11331555288453[/C][C]0.00848486564095785[/C][/ROW]
[ROW][C]0.95[/C][C]7.11725334244731[/C][C]0.00870570510779626[/C][/ROW]
[ROW][C]0.96[/C][C]7.12132665826265[/C][C]0.00861240207789372[/C][/ROW]
[ROW][C]0.97[/C][C]7.12510354001713[/C][C]0.0072303081871139[/C][/ROW]
[ROW][C]0.98[/C][C]7.1279635327771[/C][C]0.00446019972763362[/C][/ROW]
[ROW][C]0.99[/C][C]7.12952626556883[/C][C]0.00152536934062648[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9723&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
0.016.462106064051010.005684270286822
0.026.466671679057540.00972305617019582
0.036.472284906041280.00978218851440442
0.046.477550511514780.0085026683148899
0.056.482087009583180.00833136559648237
0.066.486222407845210.00951380606694058
0.076.490399646881580.0113442597732780
0.086.494879786917240.0132643224732388
0.096.499717305319030.0149104614364721
0.16.504832968312130.0160725647866707
0.116.510091549640880.0167087704700573
0.126.515363177608440.0169515532788603
0.136.520566302420650.0170584202974985
0.146.525690559752770.0173307460387634
0.156.530800243963530.0180674162983843
0.166.536024120169740.0194854535342373
0.176.541539892272960.0217501259223307
0.186.547559947576270.0249960962624314
0.196.554320609587860.02935502743854
0.26.562072761152140.0348906649927629
0.216.57106943563340.0416485253671916
0.226.581546590883230.0495203688595418
0.236.593696258726730.0582230661441079
0.246.607635196055660.0673229737519534
0.256.62337538878620.0762300112449538
0.266.640803991880190.0842903569385825
0.276.659679047559460.090900325009282
0.286.679644021591080.0955245583739483
0.296.700259899770420.0978806968637623
0.36.721049588166560.0978864597107063
0.316.741546751970150.095687989560014
0.326.761340597509970.0916669757401179
0.336.780109439516790.0863168598062389
0.346.797638681813020.0801893023144513
0.356.813822260014210.0738043181605963
0.366.828649792623050.0676118540948467
0.376.842183980157920.0618938456496556
0.386.85453380934990.0568163063104781
0.396.865828837581460.0523952332718731
0.46.876198525939930.0485546693152245
0.416.885758719476890.0451853710909968
0.426.894605455118280.0421575941651362
0.436.9028147517950.0393757347819142
0.446.91044617836420.0367729776552532
0.456.917547869887960.0343306439461432
0.466.924161144772950.0320530852745924
0.476.93032370297130.0299353610939359
0.486.93607125164750.0279802630497621
0.496.941438046916230.0261898099862021
0.56.946457108996350.0245470402561756
0.516.951160754958440.0230415373829143
0.526.955581713338060.0216743855481273
0.536.959754623721050.0204613577285126
0.546.963717368796280.0194264435694057
0.556.967511563686430.0186106123368217
0.566.971181671863190.0180213557719553
0.576.974772570904370.0176878942955559
0.586.978325835720540.0175678560241350
0.596.981875406553280.0176190276788422
0.66.985443554845860.0177606550477166
0.616.989038094234070.0179042311639684
0.626.992651604659080.0179545797535381
0.636.99626308779150.0178591239906522
0.646.999842021067840.0175582608407337
0.657.003354306233450.0170553285184142
0.667.006769198162280.0163783094579269
0.677.010066027549550.0155907956051041
0.687.013239460464580.0147838413942988
0.697.016302207051390.0140681569447532
0.77.019284499719740.0135324907137879
0.717.022230257539320.0132492913716386
0.727.025190539350340.0132488384612345
0.737.028215528981850.0134976203468591
0.747.031346743501110.0139198680948203
0.757.034611272076250.0144183299191909
0.767.038019540385860.0148961691545368
0.777.041567330073580.0152692430020626
0.787.045241660208480.0155141125674923
0.797.049028908558260.0156388965969174
0.87.052922607228070.0156997949761738
0.817.056928118660230.0157734129809790
0.827.061062145444970.0159218795861599
0.837.065346623803320.0161649841646792
0.847.069798408879290.016446799440346
0.857.07441747122370.0166813398061756
0.867.079176591974260.0167483152890515
0.877.084015094417870.0165310391969316
0.887.088839057427610.015942084395432
0.897.093531514840540.0149249462183071
0.97.097977237386830.0134925162270560
0.917.102103981419820.0117807412767639
0.927.105930937559540.0100907656538822
0.937.109595697257010.0088706486796413
0.947.113315552884530.00848486564095785
0.957.117253342447310.00870570510779626
0.967.121326658262650.00861240207789372
0.977.125103540017130.0072303081871139
0.987.12796353277710.00446019972763362
0.997.129526265568830.00152536934062648


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')