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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, 13 Oct 2010 16:08:39 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t1286986058m1ofcjehoipzies.htm/, Retrieved Mon, 06 May 2024 16:56:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83144, Retrieved Mon, 06 May 2024 16:56:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact144

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] [werkloosheid] [2010-10-13 16:08:39] [d08a5fa9e4c562ec79e796d78c067f4f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,6
8,5
8,4
8,0
7,9
8,1
8,6
8,8
8,8
8,6
8,3
8,3
8,3
8,4
8,4
8,5
8,6
8,6
8,6
8,6
8,6
8,5
8,4
8,4
8,4
8,5
8,5
8,6
8,6
8,4
8,2
8,0
8,0
8,0
8,0
7,9
7,9
7,8
7,9
8,0
7,9
7,4
7,2
7,0
7,0
7,1
7,2
7,2
7,0
6,9
6,8
6,8
6,8
6,9
7,2
7,3
7,2
7,1
7,1
7,3
7,5
7,6
7,7
7,7
7,7
7,8
8,0
8,1
8,1
8,0
8,1
8,2
8,3
8,4
8,6
8,6
8,7
8,8
8,9

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83144&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83144&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83144&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.803405246951830.0112110774163628
0.026.814257118534520.032565300783256
0.036.834371500000810.0546173801490297
0.046.862158103178450.0697308688357025
0.056.894145578626630.0768234540667742
0.066.927064112937170.0787186761738694
0.076.958918362614440.0785267488059118
0.086.988969044685980.0781759798584593
0.097.017234833550170.078365809910864
0.17.044012906356610.078964891626453
0.117.06960347995650.079559238675349
0.127.094231346345780.079959144247843
0.137.11809292391520.0804716058499268
0.147.141451415021110.0818975884353586
0.157.164717345537850.0853391245983558
0.167.188475325379310.0918596572019503
0.177.213444172807260.102053118716703
0.187.24038074136180.115769106601765
0.197.26995368090010.132126501280460
0.27.302619962813030.149734706671072
0.217.338534259098430.166958223042690
0.227.377511037778960.182192282505091
0.237.419045035050890.194107588514588
0.247.462381822799850.201812368253853
0.257.506620135554250.204941801698269
0.267.550823443762260.203636642821420
0.277.594120005613920.198446703020780
0.287.635776761244810.190184311171747
0.297.675240573371820.179761709396459
0.37.712148058834570.168051818515378
0.317.746310815399760.155794699272193
0.327.777685438593570.143559620702872
0.337.806337557032730.13173357001925
0.347.832407103895630.120577546930628
0.357.85607932846670.110230995563304
0.367.877563565347280.100783830541871
0.377.897079990216810.0922669477588955
0.387.914853513004820.0847093151150588
0.397.931113341287990.078135536747754
0.47.946096323553440.0726206718669255
0.417.96005184665190.0682784438447493
0.427.97324589355510.0652590378436785
0.437.985962034104420.0637404503607956
0.447.998497733782340.0638565565037343
0.458.011155374429550.0656511396957536
0.468.024228567619720.0690379759225455
0.478.037985399658740.0737888151006128
0.488.052650906118380.0795887252596886
0.498.068391200195030.0860260868262718
0.58.085301312664840.0926818750926923
0.518.103398115900840.0991192839972446
0.528.122618924423780.10492673340763
0.538.142825677886250.109734971983645
0.548.163814120767990.113236605238041
0.558.185327108852730.115191038274414
0.568.20707105140960.115469436122433
0.578.228734478363490.114026821365266
0.588.250007748711680.110934177547926
0.598.270602944069920.106362940358479
0.68.29027297584880.100562086121465
0.618.308828838692310.0938626501639809
0.628.326153759448160.0866725996341903
0.638.342212777853910.0794138421591931
0.648.35705619152890.0725521101756545
0.658.37081549514590.0665141245287787
0.668.383691102760460.0616857476504783
0.678.395932284639370.0583352167957525
0.688.407811178142510.0565544950668014
0.698.419594040423780.0562185933838322
0.78.431513613164460.0570234524839514
0.718.443746215757580.0585529423807457
0.728.45639596730570.0603482371087136
0.738.46948678138810.0620092352021034
0.748.482961204003030.0631822241873298
0.758.496684474943120.0635776386229136
0.768.510452676643220.062945835791152
0.778.524005133293260.0611067737607736
0.788.537042418630240.0579334332213707
0.798.549251396059870.0534035509565524
0.88.560337139133780.0476511563292104
0.818.570058834592950.0409689631250187
0.828.578264292385470.0337840113584255
0.838.584917292735230.0266298787072613
0.848.59011491645590.0200389925909207
0.858.594097917844680.0144978999710943
0.868.59726366353170.0104752843576771
0.878.600193549479920.00867795105120611
0.888.603699069495320.010228712897219
0.898.608867738440.0157331767884878
0.98.617053135034180.0253001257373138
0.918.629718891320060.0387165037735691
0.928.648053949515370.0545770818354898
0.938.672382049307970.0695951424571012
0.948.701626845183930.0789394999175944
0.958.7333948756270.078185763019932
0.968.765296406638060.0667843307293725
0.978.797275984568850.0520237687405812
0.988.832316936542930.0515921992439174
0.998.870737599119190.0741880189215092

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80340524695183 & 0.0112110774163628 \tabularnewline
0.02 & 6.81425711853452 & 0.032565300783256 \tabularnewline
0.03 & 6.83437150000081 & 0.0546173801490297 \tabularnewline
0.04 & 6.86215810317845 & 0.0697308688357025 \tabularnewline
0.05 & 6.89414557862663 & 0.0768234540667742 \tabularnewline
0.06 & 6.92706411293717 & 0.0787186761738694 \tabularnewline
0.07 & 6.95891836261444 & 0.0785267488059118 \tabularnewline
0.08 & 6.98896904468598 & 0.0781759798584593 \tabularnewline
0.09 & 7.01723483355017 & 0.078365809910864 \tabularnewline
0.1 & 7.04401290635661 & 0.078964891626453 \tabularnewline
0.11 & 7.0696034799565 & 0.079559238675349 \tabularnewline
0.12 & 7.09423134634578 & 0.079959144247843 \tabularnewline
0.13 & 7.1180929239152 & 0.0804716058499268 \tabularnewline
0.14 & 7.14145141502111 & 0.0818975884353586 \tabularnewline
0.15 & 7.16471734553785 & 0.0853391245983558 \tabularnewline
0.16 & 7.18847532537931 & 0.0918596572019503 \tabularnewline
0.17 & 7.21344417280726 & 0.102053118716703 \tabularnewline
0.18 & 7.2403807413618 & 0.115769106601765 \tabularnewline
0.19 & 7.2699536809001 & 0.132126501280460 \tabularnewline
0.2 & 7.30261996281303 & 0.149734706671072 \tabularnewline
0.21 & 7.33853425909843 & 0.166958223042690 \tabularnewline
0.22 & 7.37751103777896 & 0.182192282505091 \tabularnewline
0.23 & 7.41904503505089 & 0.194107588514588 \tabularnewline
0.24 & 7.46238182279985 & 0.201812368253853 \tabularnewline
0.25 & 7.50662013555425 & 0.204941801698269 \tabularnewline
0.26 & 7.55082344376226 & 0.203636642821420 \tabularnewline
0.27 & 7.59412000561392 & 0.198446703020780 \tabularnewline
0.28 & 7.63577676124481 & 0.190184311171747 \tabularnewline
0.29 & 7.67524057337182 & 0.179761709396459 \tabularnewline
0.3 & 7.71214805883457 & 0.168051818515378 \tabularnewline
0.31 & 7.74631081539976 & 0.155794699272193 \tabularnewline
0.32 & 7.77768543859357 & 0.143559620702872 \tabularnewline
0.33 & 7.80633755703273 & 0.13173357001925 \tabularnewline
0.34 & 7.83240710389563 & 0.120577546930628 \tabularnewline
0.35 & 7.8560793284667 & 0.110230995563304 \tabularnewline
0.36 & 7.87756356534728 & 0.100783830541871 \tabularnewline
0.37 & 7.89707999021681 & 0.0922669477588955 \tabularnewline
0.38 & 7.91485351300482 & 0.0847093151150588 \tabularnewline
0.39 & 7.93111334128799 & 0.078135536747754 \tabularnewline
0.4 & 7.94609632355344 & 0.0726206718669255 \tabularnewline
0.41 & 7.9600518466519 & 0.0682784438447493 \tabularnewline
0.42 & 7.9732458935551 & 0.0652590378436785 \tabularnewline
0.43 & 7.98596203410442 & 0.0637404503607956 \tabularnewline
0.44 & 7.99849773378234 & 0.0638565565037343 \tabularnewline
0.45 & 8.01115537442955 & 0.0656511396957536 \tabularnewline
0.46 & 8.02422856761972 & 0.0690379759225455 \tabularnewline
0.47 & 8.03798539965874 & 0.0737888151006128 \tabularnewline
0.48 & 8.05265090611838 & 0.0795887252596886 \tabularnewline
0.49 & 8.06839120019503 & 0.0860260868262718 \tabularnewline
0.5 & 8.08530131266484 & 0.0926818750926923 \tabularnewline
0.51 & 8.10339811590084 & 0.0991192839972446 \tabularnewline
0.52 & 8.12261892442378 & 0.10492673340763 \tabularnewline
0.53 & 8.14282567788625 & 0.109734971983645 \tabularnewline
0.54 & 8.16381412076799 & 0.113236605238041 \tabularnewline
0.55 & 8.18532710885273 & 0.115191038274414 \tabularnewline
0.56 & 8.2070710514096 & 0.115469436122433 \tabularnewline
0.57 & 8.22873447836349 & 0.114026821365266 \tabularnewline
0.58 & 8.25000774871168 & 0.110934177547926 \tabularnewline
0.59 & 8.27060294406992 & 0.106362940358479 \tabularnewline
0.6 & 8.2902729758488 & 0.100562086121465 \tabularnewline
0.61 & 8.30882883869231 & 0.0938626501639809 \tabularnewline
0.62 & 8.32615375944816 & 0.0866725996341903 \tabularnewline
0.63 & 8.34221277785391 & 0.0794138421591931 \tabularnewline
0.64 & 8.3570561915289 & 0.0725521101756545 \tabularnewline
0.65 & 8.3708154951459 & 0.0665141245287787 \tabularnewline
0.66 & 8.38369110276046 & 0.0616857476504783 \tabularnewline
0.67 & 8.39593228463937 & 0.0583352167957525 \tabularnewline
0.68 & 8.40781117814251 & 0.0565544950668014 \tabularnewline
0.69 & 8.41959404042378 & 0.0562185933838322 \tabularnewline
0.7 & 8.43151361316446 & 0.0570234524839514 \tabularnewline
0.71 & 8.44374621575758 & 0.0585529423807457 \tabularnewline
0.72 & 8.4563959673057 & 0.0603482371087136 \tabularnewline
0.73 & 8.4694867813881 & 0.0620092352021034 \tabularnewline
0.74 & 8.48296120400303 & 0.0631822241873298 \tabularnewline
0.75 & 8.49668447494312 & 0.0635776386229136 \tabularnewline
0.76 & 8.51045267664322 & 0.062945835791152 \tabularnewline
0.77 & 8.52400513329326 & 0.0611067737607736 \tabularnewline
0.78 & 8.53704241863024 & 0.0579334332213707 \tabularnewline
0.79 & 8.54925139605987 & 0.0534035509565524 \tabularnewline
0.8 & 8.56033713913378 & 0.0476511563292104 \tabularnewline
0.81 & 8.57005883459295 & 0.0409689631250187 \tabularnewline
0.82 & 8.57826429238547 & 0.0337840113584255 \tabularnewline
0.83 & 8.58491729273523 & 0.0266298787072613 \tabularnewline
0.84 & 8.5901149164559 & 0.0200389925909207 \tabularnewline
0.85 & 8.59409791784468 & 0.0144978999710943 \tabularnewline
0.86 & 8.5972636635317 & 0.0104752843576771 \tabularnewline
0.87 & 8.60019354947992 & 0.00867795105120611 \tabularnewline
0.88 & 8.60369906949532 & 0.010228712897219 \tabularnewline
0.89 & 8.60886773844 & 0.0157331767884878 \tabularnewline
0.9 & 8.61705313503418 & 0.0253001257373138 \tabularnewline
0.91 & 8.62971889132006 & 0.0387165037735691 \tabularnewline
0.92 & 8.64805394951537 & 0.0545770818354898 \tabularnewline
0.93 & 8.67238204930797 & 0.0695951424571012 \tabularnewline
0.94 & 8.70162684518393 & 0.0789394999175944 \tabularnewline
0.95 & 8.733394875627 & 0.078185763019932 \tabularnewline
0.96 & 8.76529640663806 & 0.0667843307293725 \tabularnewline
0.97 & 8.79727598456885 & 0.0520237687405812 \tabularnewline
0.98 & 8.83231693654293 & 0.0515921992439174 \tabularnewline
0.99 & 8.87073759911919 & 0.0741880189215092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83144&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]6.80340524695183[/C][C]0.0112110774163628[/C][/ROW]
[ROW][C]0.02[/C][C]6.81425711853452[/C][C]0.032565300783256[/C][/ROW]
[ROW][C]0.03[/C][C]6.83437150000081[/C][C]0.0546173801490297[/C][/ROW]
[ROW][C]0.04[/C][C]6.86215810317845[/C][C]0.0697308688357025[/C][/ROW]
[ROW][C]0.05[/C][C]6.89414557862663[/C][C]0.0768234540667742[/C][/ROW]
[ROW][C]0.06[/C][C]6.92706411293717[/C][C]0.0787186761738694[/C][/ROW]
[ROW][C]0.07[/C][C]6.95891836261444[/C][C]0.0785267488059118[/C][/ROW]
[ROW][C]0.08[/C][C]6.98896904468598[/C][C]0.0781759798584593[/C][/ROW]
[ROW][C]0.09[/C][C]7.01723483355017[/C][C]0.078365809910864[/C][/ROW]
[ROW][C]0.1[/C][C]7.04401290635661[/C][C]0.078964891626453[/C][/ROW]
[ROW][C]0.11[/C][C]7.0696034799565[/C][C]0.079559238675349[/C][/ROW]
[ROW][C]0.12[/C][C]7.09423134634578[/C][C]0.079959144247843[/C][/ROW]
[ROW][C]0.13[/C][C]7.1180929239152[/C][C]0.0804716058499268[/C][/ROW]
[ROW][C]0.14[/C][C]7.14145141502111[/C][C]0.0818975884353586[/C][/ROW]
[ROW][C]0.15[/C][C]7.16471734553785[/C][C]0.0853391245983558[/C][/ROW]
[ROW][C]0.16[/C][C]7.18847532537931[/C][C]0.0918596572019503[/C][/ROW]
[ROW][C]0.17[/C][C]7.21344417280726[/C][C]0.102053118716703[/C][/ROW]
[ROW][C]0.18[/C][C]7.2403807413618[/C][C]0.115769106601765[/C][/ROW]
[ROW][C]0.19[/C][C]7.2699536809001[/C][C]0.132126501280460[/C][/ROW]
[ROW][C]0.2[/C][C]7.30261996281303[/C][C]0.149734706671072[/C][/ROW]
[ROW][C]0.21[/C][C]7.33853425909843[/C][C]0.166958223042690[/C][/ROW]
[ROW][C]0.22[/C][C]7.37751103777896[/C][C]0.182192282505091[/C][/ROW]
[ROW][C]0.23[/C][C]7.41904503505089[/C][C]0.194107588514588[/C][/ROW]
[ROW][C]0.24[/C][C]7.46238182279985[/C][C]0.201812368253853[/C][/ROW]
[ROW][C]0.25[/C][C]7.50662013555425[/C][C]0.204941801698269[/C][/ROW]
[ROW][C]0.26[/C][C]7.55082344376226[/C][C]0.203636642821420[/C][/ROW]
[ROW][C]0.27[/C][C]7.59412000561392[/C][C]0.198446703020780[/C][/ROW]
[ROW][C]0.28[/C][C]7.63577676124481[/C][C]0.190184311171747[/C][/ROW]
[ROW][C]0.29[/C][C]7.67524057337182[/C][C]0.179761709396459[/C][/ROW]
[ROW][C]0.3[/C][C]7.71214805883457[/C][C]0.168051818515378[/C][/ROW]
[ROW][C]0.31[/C][C]7.74631081539976[/C][C]0.155794699272193[/C][/ROW]
[ROW][C]0.32[/C][C]7.77768543859357[/C][C]0.143559620702872[/C][/ROW]
[ROW][C]0.33[/C][C]7.80633755703273[/C][C]0.13173357001925[/C][/ROW]
[ROW][C]0.34[/C][C]7.83240710389563[/C][C]0.120577546930628[/C][/ROW]
[ROW][C]0.35[/C][C]7.8560793284667[/C][C]0.110230995563304[/C][/ROW]
[ROW][C]0.36[/C][C]7.87756356534728[/C][C]0.100783830541871[/C][/ROW]
[ROW][C]0.37[/C][C]7.89707999021681[/C][C]0.0922669477588955[/C][/ROW]
[ROW][C]0.38[/C][C]7.91485351300482[/C][C]0.0847093151150588[/C][/ROW]
[ROW][C]0.39[/C][C]7.93111334128799[/C][C]0.078135536747754[/C][/ROW]
[ROW][C]0.4[/C][C]7.94609632355344[/C][C]0.0726206718669255[/C][/ROW]
[ROW][C]0.41[/C][C]7.9600518466519[/C][C]0.0682784438447493[/C][/ROW]
[ROW][C]0.42[/C][C]7.9732458935551[/C][C]0.0652590378436785[/C][/ROW]
[ROW][C]0.43[/C][C]7.98596203410442[/C][C]0.0637404503607956[/C][/ROW]
[ROW][C]0.44[/C][C]7.99849773378234[/C][C]0.0638565565037343[/C][/ROW]
[ROW][C]0.45[/C][C]8.01115537442955[/C][C]0.0656511396957536[/C][/ROW]
[ROW][C]0.46[/C][C]8.02422856761972[/C][C]0.0690379759225455[/C][/ROW]
[ROW][C]0.47[/C][C]8.03798539965874[/C][C]0.0737888151006128[/C][/ROW]
[ROW][C]0.48[/C][C]8.05265090611838[/C][C]0.0795887252596886[/C][/ROW]
[ROW][C]0.49[/C][C]8.06839120019503[/C][C]0.0860260868262718[/C][/ROW]
[ROW][C]0.5[/C][C]8.08530131266484[/C][C]0.0926818750926923[/C][/ROW]
[ROW][C]0.51[/C][C]8.10339811590084[/C][C]0.0991192839972446[/C][/ROW]
[ROW][C]0.52[/C][C]8.12261892442378[/C][C]0.10492673340763[/C][/ROW]
[ROW][C]0.53[/C][C]8.14282567788625[/C][C]0.109734971983645[/C][/ROW]
[ROW][C]0.54[/C][C]8.16381412076799[/C][C]0.113236605238041[/C][/ROW]
[ROW][C]0.55[/C][C]8.18532710885273[/C][C]0.115191038274414[/C][/ROW]
[ROW][C]0.56[/C][C]8.2070710514096[/C][C]0.115469436122433[/C][/ROW]
[ROW][C]0.57[/C][C]8.22873447836349[/C][C]0.114026821365266[/C][/ROW]
[ROW][C]0.58[/C][C]8.25000774871168[/C][C]0.110934177547926[/C][/ROW]
[ROW][C]0.59[/C][C]8.27060294406992[/C][C]0.106362940358479[/C][/ROW]
[ROW][C]0.6[/C][C]8.2902729758488[/C][C]0.100562086121465[/C][/ROW]
[ROW][C]0.61[/C][C]8.30882883869231[/C][C]0.0938626501639809[/C][/ROW]
[ROW][C]0.62[/C][C]8.32615375944816[/C][C]0.0866725996341903[/C][/ROW]
[ROW][C]0.63[/C][C]8.34221277785391[/C][C]0.0794138421591931[/C][/ROW]
[ROW][C]0.64[/C][C]8.3570561915289[/C][C]0.0725521101756545[/C][/ROW]
[ROW][C]0.65[/C][C]8.3708154951459[/C][C]0.0665141245287787[/C][/ROW]
[ROW][C]0.66[/C][C]8.38369110276046[/C][C]0.0616857476504783[/C][/ROW]
[ROW][C]0.67[/C][C]8.39593228463937[/C][C]0.0583352167957525[/C][/ROW]
[ROW][C]0.68[/C][C]8.40781117814251[/C][C]0.0565544950668014[/C][/ROW]
[ROW][C]0.69[/C][C]8.41959404042378[/C][C]0.0562185933838322[/C][/ROW]
[ROW][C]0.7[/C][C]8.43151361316446[/C][C]0.0570234524839514[/C][/ROW]
[ROW][C]0.71[/C][C]8.44374621575758[/C][C]0.0585529423807457[/C][/ROW]
[ROW][C]0.72[/C][C]8.4563959673057[/C][C]0.0603482371087136[/C][/ROW]
[ROW][C]0.73[/C][C]8.4694867813881[/C][C]0.0620092352021034[/C][/ROW]
[ROW][C]0.74[/C][C]8.48296120400303[/C][C]0.0631822241873298[/C][/ROW]
[ROW][C]0.75[/C][C]8.49668447494312[/C][C]0.0635776386229136[/C][/ROW]
[ROW][C]0.76[/C][C]8.51045267664322[/C][C]0.062945835791152[/C][/ROW]
[ROW][C]0.77[/C][C]8.52400513329326[/C][C]0.0611067737607736[/C][/ROW]
[ROW][C]0.78[/C][C]8.53704241863024[/C][C]0.0579334332213707[/C][/ROW]
[ROW][C]0.79[/C][C]8.54925139605987[/C][C]0.0534035509565524[/C][/ROW]
[ROW][C]0.8[/C][C]8.56033713913378[/C][C]0.0476511563292104[/C][/ROW]
[ROW][C]0.81[/C][C]8.57005883459295[/C][C]0.0409689631250187[/C][/ROW]
[ROW][C]0.82[/C][C]8.57826429238547[/C][C]0.0337840113584255[/C][/ROW]
[ROW][C]0.83[/C][C]8.58491729273523[/C][C]0.0266298787072613[/C][/ROW]
[ROW][C]0.84[/C][C]8.5901149164559[/C][C]0.0200389925909207[/C][/ROW]
[ROW][C]0.85[/C][C]8.59409791784468[/C][C]0.0144978999710943[/C][/ROW]
[ROW][C]0.86[/C][C]8.5972636635317[/C][C]0.0104752843576771[/C][/ROW]
[ROW][C]0.87[/C][C]8.60019354947992[/C][C]0.00867795105120611[/C][/ROW]
[ROW][C]0.88[/C][C]8.60369906949532[/C][C]0.010228712897219[/C][/ROW]
[ROW][C]0.89[/C][C]8.60886773844[/C][C]0.0157331767884878[/C][/ROW]
[ROW][C]0.9[/C][C]8.61705313503418[/C][C]0.0253001257373138[/C][/ROW]
[ROW][C]0.91[/C][C]8.62971889132006[/C][C]0.0387165037735691[/C][/ROW]
[ROW][C]0.92[/C][C]8.64805394951537[/C][C]0.0545770818354898[/C][/ROW]
[ROW][C]0.93[/C][C]8.67238204930797[/C][C]0.0695951424571012[/C][/ROW]
[ROW][C]0.94[/C][C]8.70162684518393[/C][C]0.0789394999175944[/C][/ROW]
[ROW][C]0.95[/C][C]8.733394875627[/C][C]0.078185763019932[/C][/ROW]
[ROW][C]0.96[/C][C]8.76529640663806[/C][C]0.0667843307293725[/C][/ROW]
[ROW][C]0.97[/C][C]8.79727598456885[/C][C]0.0520237687405812[/C][/ROW]
[ROW][C]0.98[/C][C]8.83231693654293[/C][C]0.0515921992439174[/C][/ROW]
[ROW][C]0.99[/C][C]8.87073759911919[/C][C]0.0741880189215092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83144&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83144&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
0.016.803405246951830.0112110774163628
0.026.814257118534520.032565300783256
0.036.834371500000810.0546173801490297
0.046.862158103178450.0697308688357025
0.056.894145578626630.0768234540667742
0.066.927064112937170.0787186761738694
0.076.958918362614440.0785267488059118
0.086.988969044685980.0781759798584593
0.097.017234833550170.078365809910864
0.17.044012906356610.078964891626453
0.117.06960347995650.079559238675349
0.127.094231346345780.079959144247843
0.137.11809292391520.0804716058499268
0.147.141451415021110.0818975884353586
0.157.164717345537850.0853391245983558
0.167.188475325379310.0918596572019503
0.177.213444172807260.102053118716703
0.187.24038074136180.115769106601765
0.197.26995368090010.132126501280460
0.27.302619962813030.149734706671072
0.217.338534259098430.166958223042690
0.227.377511037778960.182192282505091
0.237.419045035050890.194107588514588
0.247.462381822799850.201812368253853
0.257.506620135554250.204941801698269
0.267.550823443762260.203636642821420
0.277.594120005613920.198446703020780
0.287.635776761244810.190184311171747
0.297.675240573371820.179761709396459
0.37.712148058834570.168051818515378
0.317.746310815399760.155794699272193
0.327.777685438593570.143559620702872
0.337.806337557032730.13173357001925
0.347.832407103895630.120577546930628
0.357.85607932846670.110230995563304
0.367.877563565347280.100783830541871
0.377.897079990216810.0922669477588955
0.387.914853513004820.0847093151150588
0.397.931113341287990.078135536747754
0.47.946096323553440.0726206718669255
0.417.96005184665190.0682784438447493
0.427.97324589355510.0652590378436785
0.437.985962034104420.0637404503607956
0.447.998497733782340.0638565565037343
0.458.011155374429550.0656511396957536
0.468.024228567619720.0690379759225455
0.478.037985399658740.0737888151006128
0.488.052650906118380.0795887252596886
0.498.068391200195030.0860260868262718
0.58.085301312664840.0926818750926923
0.518.103398115900840.0991192839972446
0.528.122618924423780.10492673340763
0.538.142825677886250.109734971983645
0.548.163814120767990.113236605238041
0.558.185327108852730.115191038274414
0.568.20707105140960.115469436122433
0.578.228734478363490.114026821365266
0.588.250007748711680.110934177547926
0.598.270602944069920.106362940358479
0.68.29027297584880.100562086121465
0.618.308828838692310.0938626501639809
0.628.326153759448160.0866725996341903
0.638.342212777853910.0794138421591931
0.648.35705619152890.0725521101756545
0.658.37081549514590.0665141245287787
0.668.383691102760460.0616857476504783
0.678.395932284639370.0583352167957525
0.688.407811178142510.0565544950668014
0.698.419594040423780.0562185933838322
0.78.431513613164460.0570234524839514
0.718.443746215757580.0585529423807457
0.728.45639596730570.0603482371087136
0.738.46948678138810.0620092352021034
0.748.482961204003030.0631822241873298
0.758.496684474943120.0635776386229136
0.768.510452676643220.062945835791152
0.778.524005133293260.0611067737607736
0.788.537042418630240.0579334332213707
0.798.549251396059870.0534035509565524
0.88.560337139133780.0476511563292104
0.818.570058834592950.0409689631250187
0.828.578264292385470.0337840113584255
0.838.584917292735230.0266298787072613
0.848.59011491645590.0200389925909207
0.858.594097917844680.0144978999710943
0.868.59726366353170.0104752843576771
0.878.600193549479920.00867795105120611
0.888.603699069495320.010228712897219
0.898.608867738440.0157331767884878
0.98.617053135034180.0253001257373138
0.918.629718891320060.0387165037735691
0.928.648053949515370.0545770818354898
0.938.672382049307970.0695951424571012
0.948.701626845183930.0789394999175944
0.958.7333948756270.078185763019932
0.968.765296406638060.0667843307293725
0.978.797275984568850.0520237687405812
0.988.832316936542930.0515921992439174
0.998.870737599119190.0741880189215092


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')