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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 02 Nov 2010 23:55:09 +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/Nov/03/t1288742015chonyxlte1yox0m.htm/, Retrieved Sun, 05 May 2024 16:06:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=92182, Retrieved Sun, 05 May 2024 16:06:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2010-10-12 19:53:07] [b98453cac15ba1066b407e146608df68]
- RMPD    [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2010-11-02 23:55:09] [278a0539dc236556c5f30b5bc56ff9eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
10
10.07
10.07
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
9.93
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
9.93
9.93
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
10.07
9.93
10.07
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.14
10.08
10.08
10.08
10.08
10.08
10.14
10.14
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.08
10.08
10.08
10.08
10.08
10.14
10.14
10.14
10.14
10.14
10.45
10.45
10.51
10.51
10.51
10.51
10.51
10.45
10.45
10.45
10.51
10.45
10.51
10.8
10.8
10.8
10.8
10.9
10.9
10.9
10.8
10.8
10.9
10.9
10.8
10.8
10.8
10.9
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.2
11.2
11.28
11.2
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.2
11.2
11.2
11.2
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.28
11.28
11.28
11.28
11.2
11.2
11.28
11.2
11.28
11.28
11.2
11.2
11.2
11.28
11.28
11.28
11.28
11.2
11.2
11.2
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.36
11.37
11.37
11.43
11.37
11.37
11.37
11.37
11.37
11.43
11.43
11.37
11.37
11.37
11.43
11.43
11.37
11.37
11.43
11.37
11.37
11.37
11.37
11.37
11.43
11.43
11.43
11.43
11.43
11.43
11.37
11.37
11.37
11.43
11.43
11.37
11.43
11.43
11.43
11.43
11.37
11.43
11.43
11.37
11.37
11.37
11.37
11.43
11.43
11.51
11.51
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.67
11.75
11.67
11.67
11.67
11.67
11.67
11.75
11.75
11.67
11.75
11.75
11.75
11.67
11.67
11.67
11.73
11.73
11.73
11.73
11.73
11.73
11.73
11.81
11.73
11.73
11.73
11.73
11.81
11.81
11.81
11.81
11.81
11.81
11.95
11.95
11.95
11.95
11.95
11.95
11.95
12.24
12.24
12.34
12.34
12.34
12.34
12.24
12.24
12.24
12.34
12.34
12.24
12.72
12.72
12.72
12.72
12.8
12.8
12.8
12.8
12.8
12.72
12.8
12.8
12.8
12.72
12.72
12.72
12.72
12.72
12.72
12.88
12.88
12.88
12.96
12.96
12.96
13.04
13.04
13.04
12.96
12.96
12.96
12.96
12.96
13.1
13.02
13.02
13.02
13.02
13.02
13.1
13.1
13.1
13.1
13.1
13.1
13.1
13.41
13.41
13.47
13.47
13.62
13.72
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.62
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.72
13.62
13.62
13.72
13.72
13.72
13.72
13.62
13.99
13.99
13.99
14.07
13.99
14.07
14.07
14.21
14.21
14.21
14.13
14.13
14.21
14.21
14.21
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.13
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.29
14.21
14.21
14.29
14.29
14.29
14.21
14.21
14.29
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.21
14.69
14.7
14.7
14.7
14.7
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.79
14.69
14.79
14.69
14.69
14.69
14.69
14.69
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.79
14.79
14.69
14.69
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.79
14.69
14.69
14.79
14.69
14.69
14.69
14.69
14.69
14.69
14.69
15.07
15.07
15.07
15.07
15.07
14.99
14.99
14.99
15.29
15.37
15.29
15.29
15.29
15.29
15.29
15.29
15.37
15.29
15.35
15.43
15.43
15.35
15.65
15.65
15.65
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.73
15.65
15.73
15.73
15.73
15.73
15.73
15.73
15.65
15.65
15.73
15.73
15.65
15.65
15.65
15.65
15.65
15.65
15.66
15.66
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.72
15.66
15.66
15.66
15.66
15.66
15.72
15.72
15.72
15.72
15.66
15.66
15.66
15.66
15.66
15.72
15.66
15.66
15.66
15.66
15.72
15.87
15.97
15.97
15.87
15.87
15.87
15.87
15.97
15.97
15.97
15.87
15.87

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92182&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]4 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=92182&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92182&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.059.930000116821420
0.069.930000181285250
0.079.930000271981717.94728597005208e-07
0.089.930000397617041.58945719401042e-06
0.099.930000569337521.58945719401042e-06
0.19.930000801312162.38418579101562e-06
0.119.930001111433023.17891438802083e-06
0.129.930001522152193.97364298502604e-06
0.139.930002061477364.76837158203125e-06
0.149.930002764149916.35782877604167e-06
0.159.930003673032218.74201456705729e-06
0.169.930004840733641.19209289550781e-05
0.179.930006331507041.50998433430990e-05
0.189.93000822345041.98682149251302e-05
0.199.930010611050972.46365865071615e-05
0.29.93001360811123.09944152832031e-05
0.219.930017351098373.89417012532552e-05
0.229.930022002961054.84784444173177e-05
0.239.930027757457436.03993733723958e-05
0.249.930034844040577.47044881184896e-05
0.259.93004353334599.21885172526042e-05
0.269.930054143325140.000112851460774740
0.279.930067046068660.000138282775878906
0.289.930082675354790.000167687733968099
0.299.93010153495990.000202655792236328
0.39.930124207756130.000243981679280599
0.319.930151365615520.000292460123697917
0.329.930183780128370.000350475311279297
0.339.930222334131370.00041802724202474
0.349.930268034025090.00049591064453125
0.359.930322022843370.000587304433186849
0.369.930385594016030.000693003336588542
0.379.930460205743430.000814596811930339
0.389.930547495875260.00095526377360026
0.399.930649297157110.00111579895019531
0.49.930767652677120.00129938125610352
0.419.930904831310960.00150998433430990
0.429.93106334292780.00174840291341146
0.439.931245953081730.00201940536499023
0.449.931455696874690.00232537587483724
0.459.93169589163710.0026702880859375
0.469.931970148033230.00305652618408203
0.479.932282379159760.00348965326944987
0.489.932636807170450.00397443771362305
0.499.93303796692590.00451246897379557
0.59.933490706139820.0051116943359375
0.519.934000181470370.00577370325724284
0.529.934571849989780.00650485356648763
0.539.935211455459830.0073099136352539
0.549.935925008844980.0081936518351237
0.559.936718762511660.00916083653767904
0.569.937599177592870.0102162361145020
0.579.938572884043270.0113638242085775
0.589.939646632972680.0126091639200846
0.599.940827240926710.0139570236206055
0.69.942121525883320.015409787495931
0.619.94353623485360.0169722239176432
0.629.945077963114970.0186475118001302
0.639.946753065264750.0204372406005859
0.649.948567558460970.0223461786905924
0.659.95052701841460.0243727366129557
0.669.952636468910880.0265185038248698
0.679.95490026586460.0287842750549316
0.689.957321977151950.0311684608459473
0.699.959904259705670.0336694717407227
0.79.962648735606480.0362841288248698
0.719.965555869145460.0390084584554036
0.729.968624847064480.0418368975321452
0.739.97185346439690.0447638829549154
0.749.97523801852140.0477814674377441
0.759.978773214200420.0508817036946615
0.769.982452082492790.0540542602539062
0.779.986265916499280.0572903951009115
0.789.99020422691210.060575008392334
0.799.994254720286770.0638985633850098
0.89.998403302830270.0672451655069987
0.8110.00263411229600.0706013043721517
0.8210.00692958028910.0739518801371257
0.8310.01127052691300.0772809982299805
0.8410.0156362892220.080573558807373
0.8510.02000488439730.0838112831115723
0.8610.02435320792180.086980660756429
0.8710.02865726631460.0900626182556152
0.8810.03289244319400.0930444399515788
0.8910.03703379658770.0959094365437825
0.910.04105638451390.0986440976460775
0.9110.04493561493050.101234912872314
0.9210.04864761521920.103669166564941
0.9310.0521696154550.105938116709391
0.9410.05548033883920.1080322265625
0.9510.05856039187030.109944343566895

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 9.93000011682142 & 0 \tabularnewline
0.06 & 9.93000018128525 & 0 \tabularnewline
0.07 & 9.93000027198171 & 7.94728597005208e-07 \tabularnewline
0.08 & 9.93000039761704 & 1.58945719401042e-06 \tabularnewline
0.09 & 9.93000056933752 & 1.58945719401042e-06 \tabularnewline
0.1 & 9.93000080131216 & 2.38418579101562e-06 \tabularnewline
0.11 & 9.93000111143302 & 3.17891438802083e-06 \tabularnewline
0.12 & 9.93000152215219 & 3.97364298502604e-06 \tabularnewline
0.13 & 9.93000206147736 & 4.76837158203125e-06 \tabularnewline
0.14 & 9.93000276414991 & 6.35782877604167e-06 \tabularnewline
0.15 & 9.93000367303221 & 8.74201456705729e-06 \tabularnewline
0.16 & 9.93000484073364 & 1.19209289550781e-05 \tabularnewline
0.17 & 9.93000633150704 & 1.50998433430990e-05 \tabularnewline
0.18 & 9.9300082234504 & 1.98682149251302e-05 \tabularnewline
0.19 & 9.93001061105097 & 2.46365865071615e-05 \tabularnewline
0.2 & 9.9300136081112 & 3.09944152832031e-05 \tabularnewline
0.21 & 9.93001735109837 & 3.89417012532552e-05 \tabularnewline
0.22 & 9.93002200296105 & 4.84784444173177e-05 \tabularnewline
0.23 & 9.93002775745743 & 6.03993733723958e-05 \tabularnewline
0.24 & 9.93003484404057 & 7.47044881184896e-05 \tabularnewline
0.25 & 9.9300435333459 & 9.21885172526042e-05 \tabularnewline
0.26 & 9.93005414332514 & 0.000112851460774740 \tabularnewline
0.27 & 9.93006704606866 & 0.000138282775878906 \tabularnewline
0.28 & 9.93008267535479 & 0.000167687733968099 \tabularnewline
0.29 & 9.9301015349599 & 0.000202655792236328 \tabularnewline
0.3 & 9.93012420775613 & 0.000243981679280599 \tabularnewline
0.31 & 9.93015136561552 & 0.000292460123697917 \tabularnewline
0.32 & 9.93018378012837 & 0.000350475311279297 \tabularnewline
0.33 & 9.93022233413137 & 0.00041802724202474 \tabularnewline
0.34 & 9.93026803402509 & 0.00049591064453125 \tabularnewline
0.35 & 9.93032202284337 & 0.000587304433186849 \tabularnewline
0.36 & 9.93038559401603 & 0.000693003336588542 \tabularnewline
0.37 & 9.93046020574343 & 0.000814596811930339 \tabularnewline
0.38 & 9.93054749587526 & 0.00095526377360026 \tabularnewline
0.39 & 9.93064929715711 & 0.00111579895019531 \tabularnewline
0.4 & 9.93076765267712 & 0.00129938125610352 \tabularnewline
0.41 & 9.93090483131096 & 0.00150998433430990 \tabularnewline
0.42 & 9.9310633429278 & 0.00174840291341146 \tabularnewline
0.43 & 9.93124595308173 & 0.00201940536499023 \tabularnewline
0.44 & 9.93145569687469 & 0.00232537587483724 \tabularnewline
0.45 & 9.9316958916371 & 0.0026702880859375 \tabularnewline
0.46 & 9.93197014803323 & 0.00305652618408203 \tabularnewline
0.47 & 9.93228237915976 & 0.00348965326944987 \tabularnewline
0.48 & 9.93263680717045 & 0.00397443771362305 \tabularnewline
0.49 & 9.9330379669259 & 0.00451246897379557 \tabularnewline
0.5 & 9.93349070613982 & 0.0051116943359375 \tabularnewline
0.51 & 9.93400018147037 & 0.00577370325724284 \tabularnewline
0.52 & 9.93457184998978 & 0.00650485356648763 \tabularnewline
0.53 & 9.93521145545983 & 0.0073099136352539 \tabularnewline
0.54 & 9.93592500884498 & 0.0081936518351237 \tabularnewline
0.55 & 9.93671876251166 & 0.00916083653767904 \tabularnewline
0.56 & 9.93759917759287 & 0.0102162361145020 \tabularnewline
0.57 & 9.93857288404327 & 0.0113638242085775 \tabularnewline
0.58 & 9.93964663297268 & 0.0126091639200846 \tabularnewline
0.59 & 9.94082724092671 & 0.0139570236206055 \tabularnewline
0.6 & 9.94212152588332 & 0.015409787495931 \tabularnewline
0.61 & 9.9435362348536 & 0.0169722239176432 \tabularnewline
0.62 & 9.94507796311497 & 0.0186475118001302 \tabularnewline
0.63 & 9.94675306526475 & 0.0204372406005859 \tabularnewline
0.64 & 9.94856755846097 & 0.0223461786905924 \tabularnewline
0.65 & 9.9505270184146 & 0.0243727366129557 \tabularnewline
0.66 & 9.95263646891088 & 0.0265185038248698 \tabularnewline
0.67 & 9.9549002658646 & 0.0287842750549316 \tabularnewline
0.68 & 9.95732197715195 & 0.0311684608459473 \tabularnewline
0.69 & 9.95990425970567 & 0.0336694717407227 \tabularnewline
0.7 & 9.96264873560648 & 0.0362841288248698 \tabularnewline
0.71 & 9.96555586914546 & 0.0390084584554036 \tabularnewline
0.72 & 9.96862484706448 & 0.0418368975321452 \tabularnewline
0.73 & 9.9718534643969 & 0.0447638829549154 \tabularnewline
0.74 & 9.9752380185214 & 0.0477814674377441 \tabularnewline
0.75 & 9.97877321420042 & 0.0508817036946615 \tabularnewline
0.76 & 9.98245208249279 & 0.0540542602539062 \tabularnewline
0.77 & 9.98626591649928 & 0.0572903951009115 \tabularnewline
0.78 & 9.9902042269121 & 0.060575008392334 \tabularnewline
0.79 & 9.99425472028677 & 0.0638985633850098 \tabularnewline
0.8 & 9.99840330283027 & 0.0672451655069987 \tabularnewline
0.81 & 10.0026341122960 & 0.0706013043721517 \tabularnewline
0.82 & 10.0069295802891 & 0.0739518801371257 \tabularnewline
0.83 & 10.0112705269130 & 0.0772809982299805 \tabularnewline
0.84 & 10.015636289222 & 0.080573558807373 \tabularnewline
0.85 & 10.0200048843973 & 0.0838112831115723 \tabularnewline
0.86 & 10.0243532079218 & 0.086980660756429 \tabularnewline
0.87 & 10.0286572663146 & 0.0900626182556152 \tabularnewline
0.88 & 10.0328924431940 & 0.0930444399515788 \tabularnewline
0.89 & 10.0370337965877 & 0.0959094365437825 \tabularnewline
0.9 & 10.0410563845139 & 0.0986440976460775 \tabularnewline
0.91 & 10.0449356149305 & 0.101234912872314 \tabularnewline
0.92 & 10.0486476152192 & 0.103669166564941 \tabularnewline
0.93 & 10.052169615455 & 0.105938116709391 \tabularnewline
0.94 & 10.0554803388392 & 0.1080322265625 \tabularnewline
0.95 & 10.0585603918703 & 0.109944343566895 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=92182&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]9.93000011682142[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]9.93000018128525[/C][C]0[/C][/ROW]
[ROW][C]0.07[/C][C]9.93000027198171[/C][C]7.94728597005208e-07[/C][/ROW]
[ROW][C]0.08[/C][C]9.93000039761704[/C][C]1.58945719401042e-06[/C][/ROW]
[ROW][C]0.09[/C][C]9.93000056933752[/C][C]1.58945719401042e-06[/C][/ROW]
[ROW][C]0.1[/C][C]9.93000080131216[/C][C]2.38418579101562e-06[/C][/ROW]
[ROW][C]0.11[/C][C]9.93000111143302[/C][C]3.17891438802083e-06[/C][/ROW]
[ROW][C]0.12[/C][C]9.93000152215219[/C][C]3.97364298502604e-06[/C][/ROW]
[ROW][C]0.13[/C][C]9.93000206147736[/C][C]4.76837158203125e-06[/C][/ROW]
[ROW][C]0.14[/C][C]9.93000276414991[/C][C]6.35782877604167e-06[/C][/ROW]
[ROW][C]0.15[/C][C]9.93000367303221[/C][C]8.74201456705729e-06[/C][/ROW]
[ROW][C]0.16[/C][C]9.93000484073364[/C][C]1.19209289550781e-05[/C][/ROW]
[ROW][C]0.17[/C][C]9.93000633150704[/C][C]1.50998433430990e-05[/C][/ROW]
[ROW][C]0.18[/C][C]9.9300082234504[/C][C]1.98682149251302e-05[/C][/ROW]
[ROW][C]0.19[/C][C]9.93001061105097[/C][C]2.46365865071615e-05[/C][/ROW]
[ROW][C]0.2[/C][C]9.9300136081112[/C][C]3.09944152832031e-05[/C][/ROW]
[ROW][C]0.21[/C][C]9.93001735109837[/C][C]3.89417012532552e-05[/C][/ROW]
[ROW][C]0.22[/C][C]9.93002200296105[/C][C]4.84784444173177e-05[/C][/ROW]
[ROW][C]0.23[/C][C]9.93002775745743[/C][C]6.03993733723958e-05[/C][/ROW]
[ROW][C]0.24[/C][C]9.93003484404057[/C][C]7.47044881184896e-05[/C][/ROW]
[ROW][C]0.25[/C][C]9.9300435333459[/C][C]9.21885172526042e-05[/C][/ROW]
[ROW][C]0.26[/C][C]9.93005414332514[/C][C]0.000112851460774740[/C][/ROW]
[ROW][C]0.27[/C][C]9.93006704606866[/C][C]0.000138282775878906[/C][/ROW]
[ROW][C]0.28[/C][C]9.93008267535479[/C][C]0.000167687733968099[/C][/ROW]
[ROW][C]0.29[/C][C]9.9301015349599[/C][C]0.000202655792236328[/C][/ROW]
[ROW][C]0.3[/C][C]9.93012420775613[/C][C]0.000243981679280599[/C][/ROW]
[ROW][C]0.31[/C][C]9.93015136561552[/C][C]0.000292460123697917[/C][/ROW]
[ROW][C]0.32[/C][C]9.93018378012837[/C][C]0.000350475311279297[/C][/ROW]
[ROW][C]0.33[/C][C]9.93022233413137[/C][C]0.00041802724202474[/C][/ROW]
[ROW][C]0.34[/C][C]9.93026803402509[/C][C]0.00049591064453125[/C][/ROW]
[ROW][C]0.35[/C][C]9.93032202284337[/C][C]0.000587304433186849[/C][/ROW]
[ROW][C]0.36[/C][C]9.93038559401603[/C][C]0.000693003336588542[/C][/ROW]
[ROW][C]0.37[/C][C]9.93046020574343[/C][C]0.000814596811930339[/C][/ROW]
[ROW][C]0.38[/C][C]9.93054749587526[/C][C]0.00095526377360026[/C][/ROW]
[ROW][C]0.39[/C][C]9.93064929715711[/C][C]0.00111579895019531[/C][/ROW]
[ROW][C]0.4[/C][C]9.93076765267712[/C][C]0.00129938125610352[/C][/ROW]
[ROW][C]0.41[/C][C]9.93090483131096[/C][C]0.00150998433430990[/C][/ROW]
[ROW][C]0.42[/C][C]9.9310633429278[/C][C]0.00174840291341146[/C][/ROW]
[ROW][C]0.43[/C][C]9.93124595308173[/C][C]0.00201940536499023[/C][/ROW]
[ROW][C]0.44[/C][C]9.93145569687469[/C][C]0.00232537587483724[/C][/ROW]
[ROW][C]0.45[/C][C]9.9316958916371[/C][C]0.0026702880859375[/C][/ROW]
[ROW][C]0.46[/C][C]9.93197014803323[/C][C]0.00305652618408203[/C][/ROW]
[ROW][C]0.47[/C][C]9.93228237915976[/C][C]0.00348965326944987[/C][/ROW]
[ROW][C]0.48[/C][C]9.93263680717045[/C][C]0.00397443771362305[/C][/ROW]
[ROW][C]0.49[/C][C]9.9330379669259[/C][C]0.00451246897379557[/C][/ROW]
[ROW][C]0.5[/C][C]9.93349070613982[/C][C]0.0051116943359375[/C][/ROW]
[ROW][C]0.51[/C][C]9.93400018147037[/C][C]0.00577370325724284[/C][/ROW]
[ROW][C]0.52[/C][C]9.93457184998978[/C][C]0.00650485356648763[/C][/ROW]
[ROW][C]0.53[/C][C]9.93521145545983[/C][C]0.0073099136352539[/C][/ROW]
[ROW][C]0.54[/C][C]9.93592500884498[/C][C]0.0081936518351237[/C][/ROW]
[ROW][C]0.55[/C][C]9.93671876251166[/C][C]0.00916083653767904[/C][/ROW]
[ROW][C]0.56[/C][C]9.93759917759287[/C][C]0.0102162361145020[/C][/ROW]
[ROW][C]0.57[/C][C]9.93857288404327[/C][C]0.0113638242085775[/C][/ROW]
[ROW][C]0.58[/C][C]9.93964663297268[/C][C]0.0126091639200846[/C][/ROW]
[ROW][C]0.59[/C][C]9.94082724092671[/C][C]0.0139570236206055[/C][/ROW]
[ROW][C]0.6[/C][C]9.94212152588332[/C][C]0.015409787495931[/C][/ROW]
[ROW][C]0.61[/C][C]9.9435362348536[/C][C]0.0169722239176432[/C][/ROW]
[ROW][C]0.62[/C][C]9.94507796311497[/C][C]0.0186475118001302[/C][/ROW]
[ROW][C]0.63[/C][C]9.94675306526475[/C][C]0.0204372406005859[/C][/ROW]
[ROW][C]0.64[/C][C]9.94856755846097[/C][C]0.0223461786905924[/C][/ROW]
[ROW][C]0.65[/C][C]9.9505270184146[/C][C]0.0243727366129557[/C][/ROW]
[ROW][C]0.66[/C][C]9.95263646891088[/C][C]0.0265185038248698[/C][/ROW]
[ROW][C]0.67[/C][C]9.9549002658646[/C][C]0.0287842750549316[/C][/ROW]
[ROW][C]0.68[/C][C]9.95732197715195[/C][C]0.0311684608459473[/C][/ROW]
[ROW][C]0.69[/C][C]9.95990425970567[/C][C]0.0336694717407227[/C][/ROW]
[ROW][C]0.7[/C][C]9.96264873560648[/C][C]0.0362841288248698[/C][/ROW]
[ROW][C]0.71[/C][C]9.96555586914546[/C][C]0.0390084584554036[/C][/ROW]
[ROW][C]0.72[/C][C]9.96862484706448[/C][C]0.0418368975321452[/C][/ROW]
[ROW][C]0.73[/C][C]9.9718534643969[/C][C]0.0447638829549154[/C][/ROW]
[ROW][C]0.74[/C][C]9.9752380185214[/C][C]0.0477814674377441[/C][/ROW]
[ROW][C]0.75[/C][C]9.97877321420042[/C][C]0.0508817036946615[/C][/ROW]
[ROW][C]0.76[/C][C]9.98245208249279[/C][C]0.0540542602539062[/C][/ROW]
[ROW][C]0.77[/C][C]9.98626591649928[/C][C]0.0572903951009115[/C][/ROW]
[ROW][C]0.78[/C][C]9.9902042269121[/C][C]0.060575008392334[/C][/ROW]
[ROW][C]0.79[/C][C]9.99425472028677[/C][C]0.0638985633850098[/C][/ROW]
[ROW][C]0.8[/C][C]9.99840330283027[/C][C]0.0672451655069987[/C][/ROW]
[ROW][C]0.81[/C][C]10.0026341122960[/C][C]0.0706013043721517[/C][/ROW]
[ROW][C]0.82[/C][C]10.0069295802891[/C][C]0.0739518801371257[/C][/ROW]
[ROW][C]0.83[/C][C]10.0112705269130[/C][C]0.0772809982299805[/C][/ROW]
[ROW][C]0.84[/C][C]10.015636289222[/C][C]0.080573558807373[/C][/ROW]
[ROW][C]0.85[/C][C]10.0200048843973[/C][C]0.0838112831115723[/C][/ROW]
[ROW][C]0.86[/C][C]10.0243532079218[/C][C]0.086980660756429[/C][/ROW]
[ROW][C]0.87[/C][C]10.0286572663146[/C][C]0.0900626182556152[/C][/ROW]
[ROW][C]0.88[/C][C]10.0328924431940[/C][C]0.0930444399515788[/C][/ROW]
[ROW][C]0.89[/C][C]10.0370337965877[/C][C]0.0959094365437825[/C][/ROW]
[ROW][C]0.9[/C][C]10.0410563845139[/C][C]0.0986440976460775[/C][/ROW]
[ROW][C]0.91[/C][C]10.0449356149305[/C][C]0.101234912872314[/C][/ROW]
[ROW][C]0.92[/C][C]10.0486476152192[/C][C]0.103669166564941[/C][/ROW]
[ROW][C]0.93[/C][C]10.052169615455[/C][C]0.105938116709391[/C][/ROW]
[ROW][C]0.94[/C][C]10.0554803388392[/C][C]0.1080322265625[/C][/ROW]
[ROW][C]0.95[/C][C]10.0585603918703[/C][C]0.109944343566895[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=92182&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=92182&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
0.059.930000116821420
0.069.930000181285250
0.079.930000271981717.94728597005208e-07
0.089.930000397617041.58945719401042e-06
0.099.930000569337521.58945719401042e-06
0.19.930000801312162.38418579101562e-06
0.119.930001111433023.17891438802083e-06
0.129.930001522152193.97364298502604e-06
0.139.930002061477364.76837158203125e-06
0.149.930002764149916.35782877604167e-06
0.159.930003673032218.74201456705729e-06
0.169.930004840733641.19209289550781e-05
0.179.930006331507041.50998433430990e-05
0.189.93000822345041.98682149251302e-05
0.199.930010611050972.46365865071615e-05
0.29.93001360811123.09944152832031e-05
0.219.930017351098373.89417012532552e-05
0.229.930022002961054.84784444173177e-05
0.239.930027757457436.03993733723958e-05
0.249.930034844040577.47044881184896e-05
0.259.93004353334599.21885172526042e-05
0.269.930054143325140.000112851460774740
0.279.930067046068660.000138282775878906
0.289.930082675354790.000167687733968099
0.299.93010153495990.000202655792236328
0.39.930124207756130.000243981679280599
0.319.930151365615520.000292460123697917
0.329.930183780128370.000350475311279297
0.339.930222334131370.00041802724202474
0.349.930268034025090.00049591064453125
0.359.930322022843370.000587304433186849
0.369.930385594016030.000693003336588542
0.379.930460205743430.000814596811930339
0.389.930547495875260.00095526377360026
0.399.930649297157110.00111579895019531
0.49.930767652677120.00129938125610352
0.419.930904831310960.00150998433430990
0.429.93106334292780.00174840291341146
0.439.931245953081730.00201940536499023
0.449.931455696874690.00232537587483724
0.459.93169589163710.0026702880859375
0.469.931970148033230.00305652618408203
0.479.932282379159760.00348965326944987
0.489.932636807170450.00397443771362305
0.499.93303796692590.00451246897379557
0.59.933490706139820.0051116943359375
0.519.934000181470370.00577370325724284
0.529.934571849989780.00650485356648763
0.539.935211455459830.0073099136352539
0.549.935925008844980.0081936518351237
0.559.936718762511660.00916083653767904
0.569.937599177592870.0102162361145020
0.579.938572884043270.0113638242085775
0.589.939646632972680.0126091639200846
0.599.940827240926710.0139570236206055
0.69.942121525883320.015409787495931
0.619.94353623485360.0169722239176432
0.629.945077963114970.0186475118001302
0.639.946753065264750.0204372406005859
0.649.948567558460970.0223461786905924
0.659.95052701841460.0243727366129557
0.669.952636468910880.0265185038248698
0.679.95490026586460.0287842750549316
0.689.957321977151950.0311684608459473
0.699.959904259705670.0336694717407227
0.79.962648735606480.0362841288248698
0.719.965555869145460.0390084584554036
0.729.968624847064480.0418368975321452
0.739.97185346439690.0447638829549154
0.749.97523801852140.0477814674377441
0.759.978773214200420.0508817036946615
0.769.982452082492790.0540542602539062
0.779.986265916499280.0572903951009115
0.789.99020422691210.060575008392334
0.799.994254720286770.0638985633850098
0.89.998403302830270.0672451655069987
0.8110.00263411229600.0706013043721517
0.8210.00692958028910.0739518801371257
0.8310.01127052691300.0772809982299805
0.8410.0156362892220.080573558807373
0.8510.02000488439730.0838112831115723
0.8610.02435320792180.086980660756429
0.8710.02865726631460.0900626182556152
0.8810.03289244319400.0930444399515788
0.8910.03703379658770.0959094365437825
0.910.04105638451390.0986440976460775
0.9110.04493561493050.101234912872314
0.9210.04864761521920.103669166564941
0.9310.0521696154550.105938116709391
0.9410.05548033883920.1080322265625
0.9510.05856039187030.109944343566895


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = 1 ; par3 = TRUE ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')