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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 computationThu, 08 Oct 2015 19:32:42 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t144432918633rujjienaox1oj.htm/, Retrieved Wed, 15 May 2024 20:52:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281630, Retrieved Wed, 15 May 2024 20:52:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact55

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] [] [2015-10-08 18:32:42] [5a70237751c59f15349851dd3eb2a645] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.51
92.51
92.51
92.51
92.51
92.51
92.51
92.51
92.51
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
101.27
101.27
101.27
101.25
101.25
101.25
101.25
101.25
101.25
101.25
101.25
101.25
102.55
102.55
102.55

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281630&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281630&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281630&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.51010184813120.000552779118585402
0.0292.51084642808370.0041033219187301
0.0392.51400851794460.0170936312054871
0.0492.52381425828370.0517698905290559
0.0592.54814431576990.12482177712365
0.0692.59888804485170.252364928369566
0.0792.6906366356880.441602684511202
0.0892.83751804369250.683401027198281
0.0993.0489421346040.950287037683806
0.193.32578198766591.2015848802577
0.1193.6585698014741.39445012625195
0.1294.02855056754771.49657558868722
0.1394.41129801558011.49456301024759
0.1494.78164291259851.396178941524
0.1595.11832173973681.22575293839625
0.1695.407082842111.01559570121057
0.1795.64171873844580.79775046178589
0.1895.82324102261850.597388891905952
0.1995.9578884216180.430205154335608
0.296.05476829823520.302798427139768
0.2196.1237596292610.215310177511427
0.2296.17401106235790.164125993487708
0.2396.21309450039520.143032943109799
0.2496.24670050217920.142839280297356
0.2596.27869697122320.153882859930492
0.2696.31138597684440.169032999444374
0.2796.34584259811190.183742701612733
0.2896.38227080077230.195497974904176
0.2996.4203471404830.203034029448582
0.396.45954024191870.206580636978127
0.3196.49939738542710.207462669254682
0.3296.53978637270940.208560674059721
0.3396.58107711555040.213630512470401
0.3496.62424648796240.22734064682228
0.3596.67089297317070.254061406348187
0.3696.72315420180680.29657574986249
0.3796.78352976443770.355842121699541
0.3896.85462272491570.43074312002228
0.3996.93882494542830.518202180977574
0.497.03798214486250.613646541497652
0.4197.15308250745710.711199078949154
0.4297.28401530786390.803752230334147
0.4397.429441437950.884111981745731
0.4497.58680510420650.945604381627266
0.4597.7524963553050.982820287915645
0.4697.92215055174640.992469510934195
0.4798.09104795071390.973819503761514
0.4898.25455917813020.928707410242944
0.4998.40857444626460.861285558130774
0.598.54985777015050.777522503660961
0.5198.6762812975590.684263681896436
0.5298.78691595425320.588490152403226
0.5398.88197823698150.496736325307174
0.5498.96265434720660.414119241776365
0.5599.03083821920120.3444358451522
0.5699.08882746621730.28978804395289
0.5799.13902092171450.250484433367733
0.5899.18365489323220.225237071616409
0.5999.22460486367260.211001460505997
0.699.26326759058410.203936623929695
0.6199.30052729847060.200298449661023
0.6299.3368001616850.197061419764522
0.6399.37214411447540.192324682585583
0.6499.40641629294740.185145950873991
0.6599.43945786560130.175834124781214
0.6699.47128513928740.165684476624886
0.6799.50226593050140.157023188712984
0.6899.53326051412150.153205192233545
0.6999.56570652367260.158470691248428
0.799.60162722613470.176589536743546
0.7199.64354397776750.210109190354631
0.7299.69427880564720.259193061406144
0.7399.75664472653030.3221282757231
0.7499.83304128546620.395313484748879
0.7599.92499964785990.473133153747718
0.76100.0327499721860.548407906163804
0.77100.154904265340.61274759914946
0.78100.2883493998980.657940270755828
0.79100.4284191649140.677300256349027
0.8100.5693606018290.667009646194551
0.81100.7050388198320.627172803723819
0.82100.8297562875320.561889599539679
0.83100.9390215732150.478575672448372
0.84101.03010785710.386687541300804
0.85101.102298942420.29570991780649
0.86101.1568186000190.213818032651318
0.87101.1965523870230.146653324224
0.88101.2257654912150.0973132645456472
0.89101.2500537031320.0688032521823154
0.9101.2766797383780.0684583545302364
0.91101.3151698943860.103256243439045
0.92101.377538229020.17412547433497
0.93101.4769207575970.280116486425533
0.94101.6232972377120.407733163332125
0.95101.8162723993440.520297013503594
0.96102.0380538754490.562010784025374
0.97102.2532008592710.487637784580825
0.98102.4209783359320.308717515270742
0.99102.5172503770220.111694778173142

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.5101018481312 & 0.000552779118585402 \tabularnewline
0.02 & 92.5108464280837 & 0.0041033219187301 \tabularnewline
0.03 & 92.5140085179446 & 0.0170936312054871 \tabularnewline
0.04 & 92.5238142582837 & 0.0517698905290559 \tabularnewline
0.05 & 92.5481443157699 & 0.12482177712365 \tabularnewline
0.06 & 92.5988880448517 & 0.252364928369566 \tabularnewline
0.07 & 92.690636635688 & 0.441602684511202 \tabularnewline
0.08 & 92.8375180436925 & 0.683401027198281 \tabularnewline
0.09 & 93.048942134604 & 0.950287037683806 \tabularnewline
0.1 & 93.3257819876659 & 1.2015848802577 \tabularnewline
0.11 & 93.658569801474 & 1.39445012625195 \tabularnewline
0.12 & 94.0285505675477 & 1.49657558868722 \tabularnewline
0.13 & 94.4112980155801 & 1.49456301024759 \tabularnewline
0.14 & 94.7816429125985 & 1.396178941524 \tabularnewline
0.15 & 95.1183217397368 & 1.22575293839625 \tabularnewline
0.16 & 95.40708284211 & 1.01559570121057 \tabularnewline
0.17 & 95.6417187384458 & 0.79775046178589 \tabularnewline
0.18 & 95.8232410226185 & 0.597388891905952 \tabularnewline
0.19 & 95.957888421618 & 0.430205154335608 \tabularnewline
0.2 & 96.0547682982352 & 0.302798427139768 \tabularnewline
0.21 & 96.123759629261 & 0.215310177511427 \tabularnewline
0.22 & 96.1740110623579 & 0.164125993487708 \tabularnewline
0.23 & 96.2130945003952 & 0.143032943109799 \tabularnewline
0.24 & 96.2467005021792 & 0.142839280297356 \tabularnewline
0.25 & 96.2786969712232 & 0.153882859930492 \tabularnewline
0.26 & 96.3113859768444 & 0.169032999444374 \tabularnewline
0.27 & 96.3458425981119 & 0.183742701612733 \tabularnewline
0.28 & 96.3822708007723 & 0.195497974904176 \tabularnewline
0.29 & 96.420347140483 & 0.203034029448582 \tabularnewline
0.3 & 96.4595402419187 & 0.206580636978127 \tabularnewline
0.31 & 96.4993973854271 & 0.207462669254682 \tabularnewline
0.32 & 96.5397863727094 & 0.208560674059721 \tabularnewline
0.33 & 96.5810771155504 & 0.213630512470401 \tabularnewline
0.34 & 96.6242464879624 & 0.22734064682228 \tabularnewline
0.35 & 96.6708929731707 & 0.254061406348187 \tabularnewline
0.36 & 96.7231542018068 & 0.29657574986249 \tabularnewline
0.37 & 96.7835297644377 & 0.355842121699541 \tabularnewline
0.38 & 96.8546227249157 & 0.43074312002228 \tabularnewline
0.39 & 96.9388249454283 & 0.518202180977574 \tabularnewline
0.4 & 97.0379821448625 & 0.613646541497652 \tabularnewline
0.41 & 97.1530825074571 & 0.711199078949154 \tabularnewline
0.42 & 97.2840153078639 & 0.803752230334147 \tabularnewline
0.43 & 97.42944143795 & 0.884111981745731 \tabularnewline
0.44 & 97.5868051042065 & 0.945604381627266 \tabularnewline
0.45 & 97.752496355305 & 0.982820287915645 \tabularnewline
0.46 & 97.9221505517464 & 0.992469510934195 \tabularnewline
0.47 & 98.0910479507139 & 0.973819503761514 \tabularnewline
0.48 & 98.2545591781302 & 0.928707410242944 \tabularnewline
0.49 & 98.4085744462646 & 0.861285558130774 \tabularnewline
0.5 & 98.5498577701505 & 0.777522503660961 \tabularnewline
0.51 & 98.676281297559 & 0.684263681896436 \tabularnewline
0.52 & 98.7869159542532 & 0.588490152403226 \tabularnewline
0.53 & 98.8819782369815 & 0.496736325307174 \tabularnewline
0.54 & 98.9626543472066 & 0.414119241776365 \tabularnewline
0.55 & 99.0308382192012 & 0.3444358451522 \tabularnewline
0.56 & 99.0888274662173 & 0.28978804395289 \tabularnewline
0.57 & 99.1390209217145 & 0.250484433367733 \tabularnewline
0.58 & 99.1836548932322 & 0.225237071616409 \tabularnewline
0.59 & 99.2246048636726 & 0.211001460505997 \tabularnewline
0.6 & 99.2632675905841 & 0.203936623929695 \tabularnewline
0.61 & 99.3005272984706 & 0.200298449661023 \tabularnewline
0.62 & 99.336800161685 & 0.197061419764522 \tabularnewline
0.63 & 99.3721441144754 & 0.192324682585583 \tabularnewline
0.64 & 99.4064162929474 & 0.185145950873991 \tabularnewline
0.65 & 99.4394578656013 & 0.175834124781214 \tabularnewline
0.66 & 99.4712851392874 & 0.165684476624886 \tabularnewline
0.67 & 99.5022659305014 & 0.157023188712984 \tabularnewline
0.68 & 99.5332605141215 & 0.153205192233545 \tabularnewline
0.69 & 99.5657065236726 & 0.158470691248428 \tabularnewline
0.7 & 99.6016272261347 & 0.176589536743546 \tabularnewline
0.71 & 99.6435439777675 & 0.210109190354631 \tabularnewline
0.72 & 99.6942788056472 & 0.259193061406144 \tabularnewline
0.73 & 99.7566447265303 & 0.3221282757231 \tabularnewline
0.74 & 99.8330412854662 & 0.395313484748879 \tabularnewline
0.75 & 99.9249996478599 & 0.473133153747718 \tabularnewline
0.76 & 100.032749972186 & 0.548407906163804 \tabularnewline
0.77 & 100.15490426534 & 0.61274759914946 \tabularnewline
0.78 & 100.288349399898 & 0.657940270755828 \tabularnewline
0.79 & 100.428419164914 & 0.677300256349027 \tabularnewline
0.8 & 100.569360601829 & 0.667009646194551 \tabularnewline
0.81 & 100.705038819832 & 0.627172803723819 \tabularnewline
0.82 & 100.829756287532 & 0.561889599539679 \tabularnewline
0.83 & 100.939021573215 & 0.478575672448372 \tabularnewline
0.84 & 101.0301078571 & 0.386687541300804 \tabularnewline
0.85 & 101.10229894242 & 0.29570991780649 \tabularnewline
0.86 & 101.156818600019 & 0.213818032651318 \tabularnewline
0.87 & 101.196552387023 & 0.146653324224 \tabularnewline
0.88 & 101.225765491215 & 0.0973132645456472 \tabularnewline
0.89 & 101.250053703132 & 0.0688032521823154 \tabularnewline
0.9 & 101.276679738378 & 0.0684583545302364 \tabularnewline
0.91 & 101.315169894386 & 0.103256243439045 \tabularnewline
0.92 & 101.37753822902 & 0.17412547433497 \tabularnewline
0.93 & 101.476920757597 & 0.280116486425533 \tabularnewline
0.94 & 101.623297237712 & 0.407733163332125 \tabularnewline
0.95 & 101.816272399344 & 0.520297013503594 \tabularnewline
0.96 & 102.038053875449 & 0.562010784025374 \tabularnewline
0.97 & 102.253200859271 & 0.487637784580825 \tabularnewline
0.98 & 102.420978335932 & 0.308717515270742 \tabularnewline
0.99 & 102.517250377022 & 0.111694778173142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281630&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]92.5101018481312[/C][C]0.000552779118585402[/C][/ROW]
[ROW][C]0.02[/C][C]92.5108464280837[/C][C]0.0041033219187301[/C][/ROW]
[ROW][C]0.03[/C][C]92.5140085179446[/C][C]0.0170936312054871[/C][/ROW]
[ROW][C]0.04[/C][C]92.5238142582837[/C][C]0.0517698905290559[/C][/ROW]
[ROW][C]0.05[/C][C]92.5481443157699[/C][C]0.12482177712365[/C][/ROW]
[ROW][C]0.06[/C][C]92.5988880448517[/C][C]0.252364928369566[/C][/ROW]
[ROW][C]0.07[/C][C]92.690636635688[/C][C]0.441602684511202[/C][/ROW]
[ROW][C]0.08[/C][C]92.8375180436925[/C][C]0.683401027198281[/C][/ROW]
[ROW][C]0.09[/C][C]93.048942134604[/C][C]0.950287037683806[/C][/ROW]
[ROW][C]0.1[/C][C]93.3257819876659[/C][C]1.2015848802577[/C][/ROW]
[ROW][C]0.11[/C][C]93.658569801474[/C][C]1.39445012625195[/C][/ROW]
[ROW][C]0.12[/C][C]94.0285505675477[/C][C]1.49657558868722[/C][/ROW]
[ROW][C]0.13[/C][C]94.4112980155801[/C][C]1.49456301024759[/C][/ROW]
[ROW][C]0.14[/C][C]94.7816429125985[/C][C]1.396178941524[/C][/ROW]
[ROW][C]0.15[/C][C]95.1183217397368[/C][C]1.22575293839625[/C][/ROW]
[ROW][C]0.16[/C][C]95.40708284211[/C][C]1.01559570121057[/C][/ROW]
[ROW][C]0.17[/C][C]95.6417187384458[/C][C]0.79775046178589[/C][/ROW]
[ROW][C]0.18[/C][C]95.8232410226185[/C][C]0.597388891905952[/C][/ROW]
[ROW][C]0.19[/C][C]95.957888421618[/C][C]0.430205154335608[/C][/ROW]
[ROW][C]0.2[/C][C]96.0547682982352[/C][C]0.302798427139768[/C][/ROW]
[ROW][C]0.21[/C][C]96.123759629261[/C][C]0.215310177511427[/C][/ROW]
[ROW][C]0.22[/C][C]96.1740110623579[/C][C]0.164125993487708[/C][/ROW]
[ROW][C]0.23[/C][C]96.2130945003952[/C][C]0.143032943109799[/C][/ROW]
[ROW][C]0.24[/C][C]96.2467005021792[/C][C]0.142839280297356[/C][/ROW]
[ROW][C]0.25[/C][C]96.2786969712232[/C][C]0.153882859930492[/C][/ROW]
[ROW][C]0.26[/C][C]96.3113859768444[/C][C]0.169032999444374[/C][/ROW]
[ROW][C]0.27[/C][C]96.3458425981119[/C][C]0.183742701612733[/C][/ROW]
[ROW][C]0.28[/C][C]96.3822708007723[/C][C]0.195497974904176[/C][/ROW]
[ROW][C]0.29[/C][C]96.420347140483[/C][C]0.203034029448582[/C][/ROW]
[ROW][C]0.3[/C][C]96.4595402419187[/C][C]0.206580636978127[/C][/ROW]
[ROW][C]0.31[/C][C]96.4993973854271[/C][C]0.207462669254682[/C][/ROW]
[ROW][C]0.32[/C][C]96.5397863727094[/C][C]0.208560674059721[/C][/ROW]
[ROW][C]0.33[/C][C]96.5810771155504[/C][C]0.213630512470401[/C][/ROW]
[ROW][C]0.34[/C][C]96.6242464879624[/C][C]0.22734064682228[/C][/ROW]
[ROW][C]0.35[/C][C]96.6708929731707[/C][C]0.254061406348187[/C][/ROW]
[ROW][C]0.36[/C][C]96.7231542018068[/C][C]0.29657574986249[/C][/ROW]
[ROW][C]0.37[/C][C]96.7835297644377[/C][C]0.355842121699541[/C][/ROW]
[ROW][C]0.38[/C][C]96.8546227249157[/C][C]0.43074312002228[/C][/ROW]
[ROW][C]0.39[/C][C]96.9388249454283[/C][C]0.518202180977574[/C][/ROW]
[ROW][C]0.4[/C][C]97.0379821448625[/C][C]0.613646541497652[/C][/ROW]
[ROW][C]0.41[/C][C]97.1530825074571[/C][C]0.711199078949154[/C][/ROW]
[ROW][C]0.42[/C][C]97.2840153078639[/C][C]0.803752230334147[/C][/ROW]
[ROW][C]0.43[/C][C]97.42944143795[/C][C]0.884111981745731[/C][/ROW]
[ROW][C]0.44[/C][C]97.5868051042065[/C][C]0.945604381627266[/C][/ROW]
[ROW][C]0.45[/C][C]97.752496355305[/C][C]0.982820287915645[/C][/ROW]
[ROW][C]0.46[/C][C]97.9221505517464[/C][C]0.992469510934195[/C][/ROW]
[ROW][C]0.47[/C][C]98.0910479507139[/C][C]0.973819503761514[/C][/ROW]
[ROW][C]0.48[/C][C]98.2545591781302[/C][C]0.928707410242944[/C][/ROW]
[ROW][C]0.49[/C][C]98.4085744462646[/C][C]0.861285558130774[/C][/ROW]
[ROW][C]0.5[/C][C]98.5498577701505[/C][C]0.777522503660961[/C][/ROW]
[ROW][C]0.51[/C][C]98.676281297559[/C][C]0.684263681896436[/C][/ROW]
[ROW][C]0.52[/C][C]98.7869159542532[/C][C]0.588490152403226[/C][/ROW]
[ROW][C]0.53[/C][C]98.8819782369815[/C][C]0.496736325307174[/C][/ROW]
[ROW][C]0.54[/C][C]98.9626543472066[/C][C]0.414119241776365[/C][/ROW]
[ROW][C]0.55[/C][C]99.0308382192012[/C][C]0.3444358451522[/C][/ROW]
[ROW][C]0.56[/C][C]99.0888274662173[/C][C]0.28978804395289[/C][/ROW]
[ROW][C]0.57[/C][C]99.1390209217145[/C][C]0.250484433367733[/C][/ROW]
[ROW][C]0.58[/C][C]99.1836548932322[/C][C]0.225237071616409[/C][/ROW]
[ROW][C]0.59[/C][C]99.2246048636726[/C][C]0.211001460505997[/C][/ROW]
[ROW][C]0.6[/C][C]99.2632675905841[/C][C]0.203936623929695[/C][/ROW]
[ROW][C]0.61[/C][C]99.3005272984706[/C][C]0.200298449661023[/C][/ROW]
[ROW][C]0.62[/C][C]99.336800161685[/C][C]0.197061419764522[/C][/ROW]
[ROW][C]0.63[/C][C]99.3721441144754[/C][C]0.192324682585583[/C][/ROW]
[ROW][C]0.64[/C][C]99.4064162929474[/C][C]0.185145950873991[/C][/ROW]
[ROW][C]0.65[/C][C]99.4394578656013[/C][C]0.175834124781214[/C][/ROW]
[ROW][C]0.66[/C][C]99.4712851392874[/C][C]0.165684476624886[/C][/ROW]
[ROW][C]0.67[/C][C]99.5022659305014[/C][C]0.157023188712984[/C][/ROW]
[ROW][C]0.68[/C][C]99.5332605141215[/C][C]0.153205192233545[/C][/ROW]
[ROW][C]0.69[/C][C]99.5657065236726[/C][C]0.158470691248428[/C][/ROW]
[ROW][C]0.7[/C][C]99.6016272261347[/C][C]0.176589536743546[/C][/ROW]
[ROW][C]0.71[/C][C]99.6435439777675[/C][C]0.210109190354631[/C][/ROW]
[ROW][C]0.72[/C][C]99.6942788056472[/C][C]0.259193061406144[/C][/ROW]
[ROW][C]0.73[/C][C]99.7566447265303[/C][C]0.3221282757231[/C][/ROW]
[ROW][C]0.74[/C][C]99.8330412854662[/C][C]0.395313484748879[/C][/ROW]
[ROW][C]0.75[/C][C]99.9249996478599[/C][C]0.473133153747718[/C][/ROW]
[ROW][C]0.76[/C][C]100.032749972186[/C][C]0.548407906163804[/C][/ROW]
[ROW][C]0.77[/C][C]100.15490426534[/C][C]0.61274759914946[/C][/ROW]
[ROW][C]0.78[/C][C]100.288349399898[/C][C]0.657940270755828[/C][/ROW]
[ROW][C]0.79[/C][C]100.428419164914[/C][C]0.677300256349027[/C][/ROW]
[ROW][C]0.8[/C][C]100.569360601829[/C][C]0.667009646194551[/C][/ROW]
[ROW][C]0.81[/C][C]100.705038819832[/C][C]0.627172803723819[/C][/ROW]
[ROW][C]0.82[/C][C]100.829756287532[/C][C]0.561889599539679[/C][/ROW]
[ROW][C]0.83[/C][C]100.939021573215[/C][C]0.478575672448372[/C][/ROW]
[ROW][C]0.84[/C][C]101.0301078571[/C][C]0.386687541300804[/C][/ROW]
[ROW][C]0.85[/C][C]101.10229894242[/C][C]0.29570991780649[/C][/ROW]
[ROW][C]0.86[/C][C]101.156818600019[/C][C]0.213818032651318[/C][/ROW]
[ROW][C]0.87[/C][C]101.196552387023[/C][C]0.146653324224[/C][/ROW]
[ROW][C]0.88[/C][C]101.225765491215[/C][C]0.0973132645456472[/C][/ROW]
[ROW][C]0.89[/C][C]101.250053703132[/C][C]0.0688032521823154[/C][/ROW]
[ROW][C]0.9[/C][C]101.276679738378[/C][C]0.0684583545302364[/C][/ROW]
[ROW][C]0.91[/C][C]101.315169894386[/C][C]0.103256243439045[/C][/ROW]
[ROW][C]0.92[/C][C]101.37753822902[/C][C]0.17412547433497[/C][/ROW]
[ROW][C]0.93[/C][C]101.476920757597[/C][C]0.280116486425533[/C][/ROW]
[ROW][C]0.94[/C][C]101.623297237712[/C][C]0.407733163332125[/C][/ROW]
[ROW][C]0.95[/C][C]101.816272399344[/C][C]0.520297013503594[/C][/ROW]
[ROW][C]0.96[/C][C]102.038053875449[/C][C]0.562010784025374[/C][/ROW]
[ROW][C]0.97[/C][C]102.253200859271[/C][C]0.487637784580825[/C][/ROW]
[ROW][C]0.98[/C][C]102.420978335932[/C][C]0.308717515270742[/C][/ROW]
[ROW][C]0.99[/C][C]102.517250377022[/C][C]0.111694778173142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281630&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281630&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
0.0192.51010184813120.000552779118585402
0.0292.51084642808370.0041033219187301
0.0392.51400851794460.0170936312054871
0.0492.52381425828370.0517698905290559
0.0592.54814431576990.12482177712365
0.0692.59888804485170.252364928369566
0.0792.6906366356880.441602684511202
0.0892.83751804369250.683401027198281
0.0993.0489421346040.950287037683806
0.193.32578198766591.2015848802577
0.1193.6585698014741.39445012625195
0.1294.02855056754771.49657558868722
0.1394.41129801558011.49456301024759
0.1494.78164291259851.396178941524
0.1595.11832173973681.22575293839625
0.1695.407082842111.01559570121057
0.1795.64171873844580.79775046178589
0.1895.82324102261850.597388891905952
0.1995.9578884216180.430205154335608
0.296.05476829823520.302798427139768
0.2196.1237596292610.215310177511427
0.2296.17401106235790.164125993487708
0.2396.21309450039520.143032943109799
0.2496.24670050217920.142839280297356
0.2596.27869697122320.153882859930492
0.2696.31138597684440.169032999444374
0.2796.34584259811190.183742701612733
0.2896.38227080077230.195497974904176
0.2996.4203471404830.203034029448582
0.396.45954024191870.206580636978127
0.3196.49939738542710.207462669254682
0.3296.53978637270940.208560674059721
0.3396.58107711555040.213630512470401
0.3496.62424648796240.22734064682228
0.3596.67089297317070.254061406348187
0.3696.72315420180680.29657574986249
0.3796.78352976443770.355842121699541
0.3896.85462272491570.43074312002228
0.3996.93882494542830.518202180977574
0.497.03798214486250.613646541497652
0.4197.15308250745710.711199078949154
0.4297.28401530786390.803752230334147
0.4397.429441437950.884111981745731
0.4497.58680510420650.945604381627266
0.4597.7524963553050.982820287915645
0.4697.92215055174640.992469510934195
0.4798.09104795071390.973819503761514
0.4898.25455917813020.928707410242944
0.4998.40857444626460.861285558130774
0.598.54985777015050.777522503660961
0.5198.6762812975590.684263681896436
0.5298.78691595425320.588490152403226
0.5398.88197823698150.496736325307174
0.5498.96265434720660.414119241776365
0.5599.03083821920120.3444358451522
0.5699.08882746621730.28978804395289
0.5799.13902092171450.250484433367733
0.5899.18365489323220.225237071616409
0.5999.22460486367260.211001460505997
0.699.26326759058410.203936623929695
0.6199.30052729847060.200298449661023
0.6299.3368001616850.197061419764522
0.6399.37214411447540.192324682585583
0.6499.40641629294740.185145950873991
0.6599.43945786560130.175834124781214
0.6699.47128513928740.165684476624886
0.6799.50226593050140.157023188712984
0.6899.53326051412150.153205192233545
0.6999.56570652367260.158470691248428
0.799.60162722613470.176589536743546
0.7199.64354397776750.210109190354631
0.7299.69427880564720.259193061406144
0.7399.75664472653030.3221282757231
0.7499.83304128546620.395313484748879
0.7599.92499964785990.473133153747718
0.76100.0327499721860.548407906163804
0.77100.154904265340.61274759914946
0.78100.2883493998980.657940270755828
0.79100.4284191649140.677300256349027
0.8100.5693606018290.667009646194551
0.81100.7050388198320.627172803723819
0.82100.8297562875320.561889599539679
0.83100.9390215732150.478575672448372
0.84101.03010785710.386687541300804
0.85101.102298942420.29570991780649
0.86101.1568186000190.213818032651318
0.87101.1965523870230.146653324224
0.88101.2257654912150.0973132645456472
0.89101.2500537031320.0688032521823154
0.9101.2766797383780.0684583545302364
0.91101.3151698943860.103256243439045
0.92101.377538229020.17412547433497
0.93101.4769207575970.280116486425533
0.94101.6232972377120.407733163332125
0.95101.8162723993440.520297013503594
0.96102.0380538754490.562010784025374
0.97102.2532008592710.487637784580825
0.98102.4209783359320.308717515270742
0.99102.5172503770220.111694778173142


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')