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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 computationWed, 12 Oct 2011 11:10:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318432451rluwvy2n9cqlyd4.htm/, Retrieved Fri, 10 May 2024 19:05:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128386, Retrieved Fri, 10 May 2024 19:05:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact107

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] [2011-10-12 15:10:06] [9f264d4de2a9fd4816a4aa7cc978cf4e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,19
98,19
98,19
98,19
98,19
98,19
98,19
100,48
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
102,78
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
104,47
104,47
104,47
104,47
104,47
104,47
104,47
104,47
105,5
105,5
105,5
105,5
106,61
106,61
106,61
106,61
106,61

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128386&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128386&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128386&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.19045005628090.00223625205316981
0.0298.19278284499340.0122341803067013
0.0398.20040689466970.0402575071500447
0.0498.21951437596180.0999216937300641
0.0598.25922933795470.204046726229677
0.0698.33063554121560.358929382535836
0.0798.44465269774810.559058668777807
0.0898.60926552383180.785896187025506
0.0998.82698120588331.01088327093659
0.199.09339565867321.20215947157978
0.1199.39738123471971.33254858458844
0.1299.72284774200631.38575297278173
0.13100.0515267664091.35928327705408
0.14100.3659777493861.26336983848058
0.15100.65206663861.11698303666357
0.16100.9004459178890.9427630381189
0.17101.1069228339740.762375502370292
0.18101.2719039559640.593148630380484
0.19101.3992707623160.446731839465531
0.2101.4950636515730.329302226662524
0.21101.5662707129390.242879058646556
0.22101.619891114720.187489231447735
0.23101.6623218227450.16204707758612
0.24101.6990305886990.163099296952246
0.25101.7344361557750.183846651561335
0.26101.7719115441840.217302291106693
0.27101.8138442444410.258209045717776
0.28101.861714006650.302293086537405
0.29101.9161740000010.345817470033387
0.3101.9771384195080.385367498362488
0.31102.0438873043920.417936154959774
0.32102.11519854090.441114849667077
0.33102.1895105406650.453528210706623
0.34102.265110229640.454811730455406
0.35102.3403327561040.445838344233065
0.36102.4137538842970.428576247380253
0.37102.4843544468630.405939721390132
0.38102.5516384858970.381575149259757
0.39102.6156920038770.359521942468361
0.4102.6771763145340.344182384256376
0.41102.7372575166010.339292787652865
0.42102.7974805381790.347456115939602
0.43102.859601823460.36948948133047
0.44102.9253987220430.404129269657996
0.45102.9964758851290.448583239638412
0.46103.0740894323620.499178570477244
0.47103.1590082561950.551968326656529
0.48103.2514284784090.602752428861287
0.49103.3509517468610.64761171375997
0.5103.4566309785820.683375539195441
0.51103.567078908260.707596104788649
0.52103.680626383710.719158990866374
0.53103.7955100559810.718089938244184
0.54103.9100642958690.705804047887101
0.55104.0228909329840.684654509035538
0.56104.1329833048870.657984363071482
0.57104.2397879120340.629330379581515
0.58104.3431966971850.60212761815342
0.59104.4434739651210.579059839069157
0.6104.5411322655230.561685246593735
0.61104.6367792946240.55013057577705
0.62104.7309616274090.543163631706434
0.63104.8240302541560.538636144449172
0.64104.9160477639340.533816573946037
0.65105.0067487416810.526252067687619
0.66105.0955552602750.513778799022119
0.67105.1816401846090.495148758854371
0.68105.264024055950.469917067826558
0.69105.341687688650.438357404654323
0.7105.4136825832680.401334276952026
0.71105.479224340940.360439594666077
0.72105.537759367310.317301151816987
0.73105.5890009519350.273643442360057
0.74105.6329361039290.231012049614272
0.75105.6698085419870.190817156578826
0.76105.7000857476460.154108669307875
0.77105.724419236030.121592311643197
0.78105.7436076443590.0937554558738214
0.79105.7585722285110.0708355130585693
0.8105.7703537563150.0529763484011095
0.81105.7801377235340.0406321720792558
0.82105.7893096841480.0349079890290986
0.83105.7995323732110.03805156093734
0.84105.8128201264020.0512671207215776
0.85105.8315654754760.0748204379488204
0.86105.8584541947420.108920627924903
0.87105.8962009545880.152986091576552
0.88105.9470644093560.204543935361938
0.89106.0121705481770.258194685856615
0.9106.0907823583650.305666867722605
0.91106.1797686912750.337010410036029
0.92106.2735810451890.343237067364353
0.93106.3649703567350.319564303680889
0.94106.4464328962190.268330061616963
0.95106.5120242868840.199367309376992
0.96106.5588909657840.127485587140004
0.97106.5878482105970.0670550540921885
0.98106.602691441360.0266114622882767
0.99106.6085371557590.00634917420389804

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.1904500562809 & 0.00223625205316981 \tabularnewline
0.02 & 98.1927828449934 & 0.0122341803067013 \tabularnewline
0.03 & 98.2004068946697 & 0.0402575071500447 \tabularnewline
0.04 & 98.2195143759618 & 0.0999216937300641 \tabularnewline
0.05 & 98.2592293379547 & 0.204046726229677 \tabularnewline
0.06 & 98.3306355412156 & 0.358929382535836 \tabularnewline
0.07 & 98.4446526977481 & 0.559058668777807 \tabularnewline
0.08 & 98.6092655238318 & 0.785896187025506 \tabularnewline
0.09 & 98.8269812058833 & 1.01088327093659 \tabularnewline
0.1 & 99.0933956586732 & 1.20215947157978 \tabularnewline
0.11 & 99.3973812347197 & 1.33254858458844 \tabularnewline
0.12 & 99.7228477420063 & 1.38575297278173 \tabularnewline
0.13 & 100.051526766409 & 1.35928327705408 \tabularnewline
0.14 & 100.365977749386 & 1.26336983848058 \tabularnewline
0.15 & 100.6520666386 & 1.11698303666357 \tabularnewline
0.16 & 100.900445917889 & 0.9427630381189 \tabularnewline
0.17 & 101.106922833974 & 0.762375502370292 \tabularnewline
0.18 & 101.271903955964 & 0.593148630380484 \tabularnewline
0.19 & 101.399270762316 & 0.446731839465531 \tabularnewline
0.2 & 101.495063651573 & 0.329302226662524 \tabularnewline
0.21 & 101.566270712939 & 0.242879058646556 \tabularnewline
0.22 & 101.61989111472 & 0.187489231447735 \tabularnewline
0.23 & 101.662321822745 & 0.16204707758612 \tabularnewline
0.24 & 101.699030588699 & 0.163099296952246 \tabularnewline
0.25 & 101.734436155775 & 0.183846651561335 \tabularnewline
0.26 & 101.771911544184 & 0.217302291106693 \tabularnewline
0.27 & 101.813844244441 & 0.258209045717776 \tabularnewline
0.28 & 101.86171400665 & 0.302293086537405 \tabularnewline
0.29 & 101.916174000001 & 0.345817470033387 \tabularnewline
0.3 & 101.977138419508 & 0.385367498362488 \tabularnewline
0.31 & 102.043887304392 & 0.417936154959774 \tabularnewline
0.32 & 102.1151985409 & 0.441114849667077 \tabularnewline
0.33 & 102.189510540665 & 0.453528210706623 \tabularnewline
0.34 & 102.26511022964 & 0.454811730455406 \tabularnewline
0.35 & 102.340332756104 & 0.445838344233065 \tabularnewline
0.36 & 102.413753884297 & 0.428576247380253 \tabularnewline
0.37 & 102.484354446863 & 0.405939721390132 \tabularnewline
0.38 & 102.551638485897 & 0.381575149259757 \tabularnewline
0.39 & 102.615692003877 & 0.359521942468361 \tabularnewline
0.4 & 102.677176314534 & 0.344182384256376 \tabularnewline
0.41 & 102.737257516601 & 0.339292787652865 \tabularnewline
0.42 & 102.797480538179 & 0.347456115939602 \tabularnewline
0.43 & 102.85960182346 & 0.36948948133047 \tabularnewline
0.44 & 102.925398722043 & 0.404129269657996 \tabularnewline
0.45 & 102.996475885129 & 0.448583239638412 \tabularnewline
0.46 & 103.074089432362 & 0.499178570477244 \tabularnewline
0.47 & 103.159008256195 & 0.551968326656529 \tabularnewline
0.48 & 103.251428478409 & 0.602752428861287 \tabularnewline
0.49 & 103.350951746861 & 0.64761171375997 \tabularnewline
0.5 & 103.456630978582 & 0.683375539195441 \tabularnewline
0.51 & 103.56707890826 & 0.707596104788649 \tabularnewline
0.52 & 103.68062638371 & 0.719158990866374 \tabularnewline
0.53 & 103.795510055981 & 0.718089938244184 \tabularnewline
0.54 & 103.910064295869 & 0.705804047887101 \tabularnewline
0.55 & 104.022890932984 & 0.684654509035538 \tabularnewline
0.56 & 104.132983304887 & 0.657984363071482 \tabularnewline
0.57 & 104.239787912034 & 0.629330379581515 \tabularnewline
0.58 & 104.343196697185 & 0.60212761815342 \tabularnewline
0.59 & 104.443473965121 & 0.579059839069157 \tabularnewline
0.6 & 104.541132265523 & 0.561685246593735 \tabularnewline
0.61 & 104.636779294624 & 0.55013057577705 \tabularnewline
0.62 & 104.730961627409 & 0.543163631706434 \tabularnewline
0.63 & 104.824030254156 & 0.538636144449172 \tabularnewline
0.64 & 104.916047763934 & 0.533816573946037 \tabularnewline
0.65 & 105.006748741681 & 0.526252067687619 \tabularnewline
0.66 & 105.095555260275 & 0.513778799022119 \tabularnewline
0.67 & 105.181640184609 & 0.495148758854371 \tabularnewline
0.68 & 105.26402405595 & 0.469917067826558 \tabularnewline
0.69 & 105.34168768865 & 0.438357404654323 \tabularnewline
0.7 & 105.413682583268 & 0.401334276952026 \tabularnewline
0.71 & 105.47922434094 & 0.360439594666077 \tabularnewline
0.72 & 105.53775936731 & 0.317301151816987 \tabularnewline
0.73 & 105.589000951935 & 0.273643442360057 \tabularnewline
0.74 & 105.632936103929 & 0.231012049614272 \tabularnewline
0.75 & 105.669808541987 & 0.190817156578826 \tabularnewline
0.76 & 105.700085747646 & 0.154108669307875 \tabularnewline
0.77 & 105.72441923603 & 0.121592311643197 \tabularnewline
0.78 & 105.743607644359 & 0.0937554558738214 \tabularnewline
0.79 & 105.758572228511 & 0.0708355130585693 \tabularnewline
0.8 & 105.770353756315 & 0.0529763484011095 \tabularnewline
0.81 & 105.780137723534 & 0.0406321720792558 \tabularnewline
0.82 & 105.789309684148 & 0.0349079890290986 \tabularnewline
0.83 & 105.799532373211 & 0.03805156093734 \tabularnewline
0.84 & 105.812820126402 & 0.0512671207215776 \tabularnewline
0.85 & 105.831565475476 & 0.0748204379488204 \tabularnewline
0.86 & 105.858454194742 & 0.108920627924903 \tabularnewline
0.87 & 105.896200954588 & 0.152986091576552 \tabularnewline
0.88 & 105.947064409356 & 0.204543935361938 \tabularnewline
0.89 & 106.012170548177 & 0.258194685856615 \tabularnewline
0.9 & 106.090782358365 & 0.305666867722605 \tabularnewline
0.91 & 106.179768691275 & 0.337010410036029 \tabularnewline
0.92 & 106.273581045189 & 0.343237067364353 \tabularnewline
0.93 & 106.364970356735 & 0.319564303680889 \tabularnewline
0.94 & 106.446432896219 & 0.268330061616963 \tabularnewline
0.95 & 106.512024286884 & 0.199367309376992 \tabularnewline
0.96 & 106.558890965784 & 0.127485587140004 \tabularnewline
0.97 & 106.587848210597 & 0.0670550540921885 \tabularnewline
0.98 & 106.60269144136 & 0.0266114622882767 \tabularnewline
0.99 & 106.608537155759 & 0.00634917420389804 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128386&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]98.1904500562809[/C][C]0.00223625205316981[/C][/ROW]
[ROW][C]0.02[/C][C]98.1927828449934[/C][C]0.0122341803067013[/C][/ROW]
[ROW][C]0.03[/C][C]98.2004068946697[/C][C]0.0402575071500447[/C][/ROW]
[ROW][C]0.04[/C][C]98.2195143759618[/C][C]0.0999216937300641[/C][/ROW]
[ROW][C]0.05[/C][C]98.2592293379547[/C][C]0.204046726229677[/C][/ROW]
[ROW][C]0.06[/C][C]98.3306355412156[/C][C]0.358929382535836[/C][/ROW]
[ROW][C]0.07[/C][C]98.4446526977481[/C][C]0.559058668777807[/C][/ROW]
[ROW][C]0.08[/C][C]98.6092655238318[/C][C]0.785896187025506[/C][/ROW]
[ROW][C]0.09[/C][C]98.8269812058833[/C][C]1.01088327093659[/C][/ROW]
[ROW][C]0.1[/C][C]99.0933956586732[/C][C]1.20215947157978[/C][/ROW]
[ROW][C]0.11[/C][C]99.3973812347197[/C][C]1.33254858458844[/C][/ROW]
[ROW][C]0.12[/C][C]99.7228477420063[/C][C]1.38575297278173[/C][/ROW]
[ROW][C]0.13[/C][C]100.051526766409[/C][C]1.35928327705408[/C][/ROW]
[ROW][C]0.14[/C][C]100.365977749386[/C][C]1.26336983848058[/C][/ROW]
[ROW][C]0.15[/C][C]100.6520666386[/C][C]1.11698303666357[/C][/ROW]
[ROW][C]0.16[/C][C]100.900445917889[/C][C]0.9427630381189[/C][/ROW]
[ROW][C]0.17[/C][C]101.106922833974[/C][C]0.762375502370292[/C][/ROW]
[ROW][C]0.18[/C][C]101.271903955964[/C][C]0.593148630380484[/C][/ROW]
[ROW][C]0.19[/C][C]101.399270762316[/C][C]0.446731839465531[/C][/ROW]
[ROW][C]0.2[/C][C]101.495063651573[/C][C]0.329302226662524[/C][/ROW]
[ROW][C]0.21[/C][C]101.566270712939[/C][C]0.242879058646556[/C][/ROW]
[ROW][C]0.22[/C][C]101.61989111472[/C][C]0.187489231447735[/C][/ROW]
[ROW][C]0.23[/C][C]101.662321822745[/C][C]0.16204707758612[/C][/ROW]
[ROW][C]0.24[/C][C]101.699030588699[/C][C]0.163099296952246[/C][/ROW]
[ROW][C]0.25[/C][C]101.734436155775[/C][C]0.183846651561335[/C][/ROW]
[ROW][C]0.26[/C][C]101.771911544184[/C][C]0.217302291106693[/C][/ROW]
[ROW][C]0.27[/C][C]101.813844244441[/C][C]0.258209045717776[/C][/ROW]
[ROW][C]0.28[/C][C]101.86171400665[/C][C]0.302293086537405[/C][/ROW]
[ROW][C]0.29[/C][C]101.916174000001[/C][C]0.345817470033387[/C][/ROW]
[ROW][C]0.3[/C][C]101.977138419508[/C][C]0.385367498362488[/C][/ROW]
[ROW][C]0.31[/C][C]102.043887304392[/C][C]0.417936154959774[/C][/ROW]
[ROW][C]0.32[/C][C]102.1151985409[/C][C]0.441114849667077[/C][/ROW]
[ROW][C]0.33[/C][C]102.189510540665[/C][C]0.453528210706623[/C][/ROW]
[ROW][C]0.34[/C][C]102.26511022964[/C][C]0.454811730455406[/C][/ROW]
[ROW][C]0.35[/C][C]102.340332756104[/C][C]0.445838344233065[/C][/ROW]
[ROW][C]0.36[/C][C]102.413753884297[/C][C]0.428576247380253[/C][/ROW]
[ROW][C]0.37[/C][C]102.484354446863[/C][C]0.405939721390132[/C][/ROW]
[ROW][C]0.38[/C][C]102.551638485897[/C][C]0.381575149259757[/C][/ROW]
[ROW][C]0.39[/C][C]102.615692003877[/C][C]0.359521942468361[/C][/ROW]
[ROW][C]0.4[/C][C]102.677176314534[/C][C]0.344182384256376[/C][/ROW]
[ROW][C]0.41[/C][C]102.737257516601[/C][C]0.339292787652865[/C][/ROW]
[ROW][C]0.42[/C][C]102.797480538179[/C][C]0.347456115939602[/C][/ROW]
[ROW][C]0.43[/C][C]102.85960182346[/C][C]0.36948948133047[/C][/ROW]
[ROW][C]0.44[/C][C]102.925398722043[/C][C]0.404129269657996[/C][/ROW]
[ROW][C]0.45[/C][C]102.996475885129[/C][C]0.448583239638412[/C][/ROW]
[ROW][C]0.46[/C][C]103.074089432362[/C][C]0.499178570477244[/C][/ROW]
[ROW][C]0.47[/C][C]103.159008256195[/C][C]0.551968326656529[/C][/ROW]
[ROW][C]0.48[/C][C]103.251428478409[/C][C]0.602752428861287[/C][/ROW]
[ROW][C]0.49[/C][C]103.350951746861[/C][C]0.64761171375997[/C][/ROW]
[ROW][C]0.5[/C][C]103.456630978582[/C][C]0.683375539195441[/C][/ROW]
[ROW][C]0.51[/C][C]103.56707890826[/C][C]0.707596104788649[/C][/ROW]
[ROW][C]0.52[/C][C]103.68062638371[/C][C]0.719158990866374[/C][/ROW]
[ROW][C]0.53[/C][C]103.795510055981[/C][C]0.718089938244184[/C][/ROW]
[ROW][C]0.54[/C][C]103.910064295869[/C][C]0.705804047887101[/C][/ROW]
[ROW][C]0.55[/C][C]104.022890932984[/C][C]0.684654509035538[/C][/ROW]
[ROW][C]0.56[/C][C]104.132983304887[/C][C]0.657984363071482[/C][/ROW]
[ROW][C]0.57[/C][C]104.239787912034[/C][C]0.629330379581515[/C][/ROW]
[ROW][C]0.58[/C][C]104.343196697185[/C][C]0.60212761815342[/C][/ROW]
[ROW][C]0.59[/C][C]104.443473965121[/C][C]0.579059839069157[/C][/ROW]
[ROW][C]0.6[/C][C]104.541132265523[/C][C]0.561685246593735[/C][/ROW]
[ROW][C]0.61[/C][C]104.636779294624[/C][C]0.55013057577705[/C][/ROW]
[ROW][C]0.62[/C][C]104.730961627409[/C][C]0.543163631706434[/C][/ROW]
[ROW][C]0.63[/C][C]104.824030254156[/C][C]0.538636144449172[/C][/ROW]
[ROW][C]0.64[/C][C]104.916047763934[/C][C]0.533816573946037[/C][/ROW]
[ROW][C]0.65[/C][C]105.006748741681[/C][C]0.526252067687619[/C][/ROW]
[ROW][C]0.66[/C][C]105.095555260275[/C][C]0.513778799022119[/C][/ROW]
[ROW][C]0.67[/C][C]105.181640184609[/C][C]0.495148758854371[/C][/ROW]
[ROW][C]0.68[/C][C]105.26402405595[/C][C]0.469917067826558[/C][/ROW]
[ROW][C]0.69[/C][C]105.34168768865[/C][C]0.438357404654323[/C][/ROW]
[ROW][C]0.7[/C][C]105.413682583268[/C][C]0.401334276952026[/C][/ROW]
[ROW][C]0.71[/C][C]105.47922434094[/C][C]0.360439594666077[/C][/ROW]
[ROW][C]0.72[/C][C]105.53775936731[/C][C]0.317301151816987[/C][/ROW]
[ROW][C]0.73[/C][C]105.589000951935[/C][C]0.273643442360057[/C][/ROW]
[ROW][C]0.74[/C][C]105.632936103929[/C][C]0.231012049614272[/C][/ROW]
[ROW][C]0.75[/C][C]105.669808541987[/C][C]0.190817156578826[/C][/ROW]
[ROW][C]0.76[/C][C]105.700085747646[/C][C]0.154108669307875[/C][/ROW]
[ROW][C]0.77[/C][C]105.72441923603[/C][C]0.121592311643197[/C][/ROW]
[ROW][C]0.78[/C][C]105.743607644359[/C][C]0.0937554558738214[/C][/ROW]
[ROW][C]0.79[/C][C]105.758572228511[/C][C]0.0708355130585693[/C][/ROW]
[ROW][C]0.8[/C][C]105.770353756315[/C][C]0.0529763484011095[/C][/ROW]
[ROW][C]0.81[/C][C]105.780137723534[/C][C]0.0406321720792558[/C][/ROW]
[ROW][C]0.82[/C][C]105.789309684148[/C][C]0.0349079890290986[/C][/ROW]
[ROW][C]0.83[/C][C]105.799532373211[/C][C]0.03805156093734[/C][/ROW]
[ROW][C]0.84[/C][C]105.812820126402[/C][C]0.0512671207215776[/C][/ROW]
[ROW][C]0.85[/C][C]105.831565475476[/C][C]0.0748204379488204[/C][/ROW]
[ROW][C]0.86[/C][C]105.858454194742[/C][C]0.108920627924903[/C][/ROW]
[ROW][C]0.87[/C][C]105.896200954588[/C][C]0.152986091576552[/C][/ROW]
[ROW][C]0.88[/C][C]105.947064409356[/C][C]0.204543935361938[/C][/ROW]
[ROW][C]0.89[/C][C]106.012170548177[/C][C]0.258194685856615[/C][/ROW]
[ROW][C]0.9[/C][C]106.090782358365[/C][C]0.305666867722605[/C][/ROW]
[ROW][C]0.91[/C][C]106.179768691275[/C][C]0.337010410036029[/C][/ROW]
[ROW][C]0.92[/C][C]106.273581045189[/C][C]0.343237067364353[/C][/ROW]
[ROW][C]0.93[/C][C]106.364970356735[/C][C]0.319564303680889[/C][/ROW]
[ROW][C]0.94[/C][C]106.446432896219[/C][C]0.268330061616963[/C][/ROW]
[ROW][C]0.95[/C][C]106.512024286884[/C][C]0.199367309376992[/C][/ROW]
[ROW][C]0.96[/C][C]106.558890965784[/C][C]0.127485587140004[/C][/ROW]
[ROW][C]0.97[/C][C]106.587848210597[/C][C]0.0670550540921885[/C][/ROW]
[ROW][C]0.98[/C][C]106.60269144136[/C][C]0.0266114622882767[/C][/ROW]
[ROW][C]0.99[/C][C]106.608537155759[/C][C]0.00634917420389804[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128386&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128386&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
0.0198.19045005628090.00223625205316981
0.0298.19278284499340.0122341803067013
0.0398.20040689466970.0402575071500447
0.0498.21951437596180.0999216937300641
0.0598.25922933795470.204046726229677
0.0698.33063554121560.358929382535836
0.0798.44465269774810.559058668777807
0.0898.60926552383180.785896187025506
0.0998.82698120588331.01088327093659
0.199.09339565867321.20215947157978
0.1199.39738123471971.33254858458844
0.1299.72284774200631.38575297278173
0.13100.0515267664091.35928327705408
0.14100.3659777493861.26336983848058
0.15100.65206663861.11698303666357
0.16100.9004459178890.9427630381189
0.17101.1069228339740.762375502370292
0.18101.2719039559640.593148630380484
0.19101.3992707623160.446731839465531
0.2101.4950636515730.329302226662524
0.21101.5662707129390.242879058646556
0.22101.619891114720.187489231447735
0.23101.6623218227450.16204707758612
0.24101.6990305886990.163099296952246
0.25101.7344361557750.183846651561335
0.26101.7719115441840.217302291106693
0.27101.8138442444410.258209045717776
0.28101.861714006650.302293086537405
0.29101.9161740000010.345817470033387
0.3101.9771384195080.385367498362488
0.31102.0438873043920.417936154959774
0.32102.11519854090.441114849667077
0.33102.1895105406650.453528210706623
0.34102.265110229640.454811730455406
0.35102.3403327561040.445838344233065
0.36102.4137538842970.428576247380253
0.37102.4843544468630.405939721390132
0.38102.5516384858970.381575149259757
0.39102.6156920038770.359521942468361
0.4102.6771763145340.344182384256376
0.41102.7372575166010.339292787652865
0.42102.7974805381790.347456115939602
0.43102.859601823460.36948948133047
0.44102.9253987220430.404129269657996
0.45102.9964758851290.448583239638412
0.46103.0740894323620.499178570477244
0.47103.1590082561950.551968326656529
0.48103.2514284784090.602752428861287
0.49103.3509517468610.64761171375997
0.5103.4566309785820.683375539195441
0.51103.567078908260.707596104788649
0.52103.680626383710.719158990866374
0.53103.7955100559810.718089938244184
0.54103.9100642958690.705804047887101
0.55104.0228909329840.684654509035538
0.56104.1329833048870.657984363071482
0.57104.2397879120340.629330379581515
0.58104.3431966971850.60212761815342
0.59104.4434739651210.579059839069157
0.6104.5411322655230.561685246593735
0.61104.6367792946240.55013057577705
0.62104.7309616274090.543163631706434
0.63104.8240302541560.538636144449172
0.64104.9160477639340.533816573946037
0.65105.0067487416810.526252067687619
0.66105.0955552602750.513778799022119
0.67105.1816401846090.495148758854371
0.68105.264024055950.469917067826558
0.69105.341687688650.438357404654323
0.7105.4136825832680.401334276952026
0.71105.479224340940.360439594666077
0.72105.537759367310.317301151816987
0.73105.5890009519350.273643442360057
0.74105.6329361039290.231012049614272
0.75105.6698085419870.190817156578826
0.76105.7000857476460.154108669307875
0.77105.724419236030.121592311643197
0.78105.7436076443590.0937554558738214
0.79105.7585722285110.0708355130585693
0.8105.7703537563150.0529763484011095
0.81105.7801377235340.0406321720792558
0.82105.7893096841480.0349079890290986
0.83105.7995323732110.03805156093734
0.84105.8128201264020.0512671207215776
0.85105.8315654754760.0748204379488204
0.86105.8584541947420.108920627924903
0.87105.8962009545880.152986091576552
0.88105.9470644093560.204543935361938
0.89106.0121705481770.258194685856615
0.9106.0907823583650.305666867722605
0.91106.1797686912750.337010410036029
0.92106.2735810451890.343237067364353
0.93106.3649703567350.319564303680889
0.94106.4464328962190.268330061616963
0.95106.5120242868840.199367309376992
0.96106.5588909657840.127485587140004
0.97106.5878482105970.0670550540921885
0.98106.602691441360.0266114622882767
0.99106.6085371557590.00634917420389804


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')