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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, 22 Feb 2012 15:09:04 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t13299415139fk3n3j6s6k6ssv.htm/, Retrieved Tue, 07 May 2024 00:38:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163187, Retrieved Tue, 07 May 2024 00:38:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Hemdblouse] [2012-02-08 21:36:59] [c3a7140350420008f22e16830d45b44b]
- RMP     [Harrell-Davis Quantiles] [hemdblouse] [2012-02-22 20:09:04] [11011eb66bd10d46e8c3e1885748d37e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.81
97.81
97.34
97.02
96.96
96.89
96.89
96.87
96.63
96.35
96.34
96.39
96.39
96.31
96.28
96.28
96.7
96.66
96.66
96.66
96.72
96.88
96.77
96.74
96.74
96.62
97.04
96.93
96.24
96.21
96.21
96.18
96.2
96.51
96.69
96.77
96.77
96.66
96.75
96.98
96.33
96.37
96.37
96.37
96.44
96.65
97.31
97.41
97.41
97.48
97.29
97.15
97.23
97.15
97.15
97.26
96.99
97.71
97.89
97.81
97.81
97.78
98
98.72
98.85
98.93
98.93
98.95
99.41
99.47
99.57
99.63

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163187&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163187&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163187&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.18613510209420.0174150623795918
0.0296.19542283508820.01619489854432
0.0396.20566236261370.0189239762724408
0.0496.2164801588610.0249234198716133
0.0596.22830081555720.0315965910292706
0.0696.24130449902950.0370275468384913
0.0796.2551895859460.0403200526889621
0.0896.26939585954690.0415837961297438
0.0996.28337924575010.0414645823410801
0.196.29676658137870.040583543842249
0.1196.30939028487820.0394694323917003
0.1296.32126183668110.0385809070264131
0.1396.33253404738890.0384044577696951
0.1496.34347233690790.0393795907602053
0.1596.35443233005340.0421023490979743
0.1696.36583282747040.0469227532202272
0.1796.37811602399780.0539534730198124
0.1896.39169428692290.0627590210361503
0.1996.40689006843940.072738646547789
0.296.42388012932080.0830798742289454
0.2196.44265628427060.0926409679105693
0.2296.46301237636020.100586118590338
0.2396.48456192751140.106010956830554
0.2496.50678432090720.108525079623195
0.2596.52909122644710.107810786606552
0.2696.55090090918130.104220355658595
0.2796.57170704361810.0982731786294772
0.2896.59113075548880.0908053031215051
0.2996.60894902423310.0825898530802122
0.396.62509796824480.0744681079576006
0.3196.63965448689440.0671054846531321
0.3296.65280316308980.0610167996333075
0.3396.66479671693730.0565250118953533
0.3496.67591771725360.0535064838091539
0.3596.68644722809520.052000214596472
0.3696.69664334175870.051737457619391
0.3796.70672987268380.0524554548272214
0.3896.71689342720610.0537907889187503
0.3996.72728592805980.0558474672072509
0.496.73802949582270.0584939200286977
0.4196.74922118974650.061546345584188
0.4296.7609361710310.0649396039027089
0.4396.77322901483370.0685421631283076
0.4496.78613384797450.0722511663088236
0.4596.79966451654420.0760306002941424
0.4696.81381601675510.0795371679860992
0.4796.82856801365280.0828569290920454
0.4896.84389059005740.0858473499282703
0.4996.85975162880730.0885531357731078
0.596.87612464486220.0911695336710016
0.5196.89299560233060.0934675009810093
0.5296.91036733874220.0960176906726381
0.5396.92826064476690.0986159188147674
0.5496.94671170614250.101538726446688
0.5596.96576635722530.104752012814492
0.5696.98547226841410.108270353299142
0.5797.005870665270.111872725219899
0.5897.02698937446530.115614162930378
0.5997.04883888274470.119191564627406
0.697.0714126993790.122625091079119
0.6197.09469268338990.125791776909084
0.6297.11865920425320.128640527824648
0.6397.14330512216140.131101339183736
0.6497.16865167394070.133631118154129
0.6597.19476351622360.136379283589713
0.6697.22175952572920.139650004142581
0.6797.24981566644880.143921341589821
0.6897.27915655570460.149399985531581
0.6997.31003358525030.156286938521435
0.797.3426898162060.164387659485549
0.7197.3773154007110.173465157596618
0.7297.41400164638720.182739591786404
0.7397.45270618577610.191367876318081
0.7497.4932446867130.198418127306888
0.7597.53532445970860.203167221954254
0.7697.57863056625460.205215604201179
0.7797.62296460892020.205117276973257
0.7897.66842055002180.204174509855072
0.7997.71556278564380.205027328418657
0.897.76555371318250.211089164071663
0.8197.8201678910780.225810320159223
0.8297.88163579940480.251648574132686
0.8397.9522896679040.288194437537778
0.8498.0340397222010.33195677739133
0.8598.12778456478670.376883440820142
0.8698.232932974030.415216806926305
0.8798.34725041460770.439550962487902
0.8898.46720040178270.444364351503181
0.8998.58880119039860.42884293009635
0.998.70877796469710.397555645778085
0.9198.82554506605060.359945477657513
0.9298.93945576448850.327140057886821
0.9399.05197206634540.30544228514799
0.9499.16397421372050.290600107803561
0.9599.27411090071590.270051591737716
0.9699.37834693297130.233177544656801
0.9799.47115107099570.180032723052835
0.9899.54720746567560.122253549344087
0.9999.601710691160.0775385543846326

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.1861351020942 & 0.0174150623795918 \tabularnewline
0.02 & 96.1954228350882 & 0.01619489854432 \tabularnewline
0.03 & 96.2056623626137 & 0.0189239762724408 \tabularnewline
0.04 & 96.216480158861 & 0.0249234198716133 \tabularnewline
0.05 & 96.2283008155572 & 0.0315965910292706 \tabularnewline
0.06 & 96.2413044990295 & 0.0370275468384913 \tabularnewline
0.07 & 96.255189585946 & 0.0403200526889621 \tabularnewline
0.08 & 96.2693958595469 & 0.0415837961297438 \tabularnewline
0.09 & 96.2833792457501 & 0.0414645823410801 \tabularnewline
0.1 & 96.2967665813787 & 0.040583543842249 \tabularnewline
0.11 & 96.3093902848782 & 0.0394694323917003 \tabularnewline
0.12 & 96.3212618366811 & 0.0385809070264131 \tabularnewline
0.13 & 96.3325340473889 & 0.0384044577696951 \tabularnewline
0.14 & 96.3434723369079 & 0.0393795907602053 \tabularnewline
0.15 & 96.3544323300534 & 0.0421023490979743 \tabularnewline
0.16 & 96.3658328274704 & 0.0469227532202272 \tabularnewline
0.17 & 96.3781160239978 & 0.0539534730198124 \tabularnewline
0.18 & 96.3916942869229 & 0.0627590210361503 \tabularnewline
0.19 & 96.4068900684394 & 0.072738646547789 \tabularnewline
0.2 & 96.4238801293208 & 0.0830798742289454 \tabularnewline
0.21 & 96.4426562842706 & 0.0926409679105693 \tabularnewline
0.22 & 96.4630123763602 & 0.100586118590338 \tabularnewline
0.23 & 96.4845619275114 & 0.106010956830554 \tabularnewline
0.24 & 96.5067843209072 & 0.108525079623195 \tabularnewline
0.25 & 96.5290912264471 & 0.107810786606552 \tabularnewline
0.26 & 96.5509009091813 & 0.104220355658595 \tabularnewline
0.27 & 96.5717070436181 & 0.0982731786294772 \tabularnewline
0.28 & 96.5911307554888 & 0.0908053031215051 \tabularnewline
0.29 & 96.6089490242331 & 0.0825898530802122 \tabularnewline
0.3 & 96.6250979682448 & 0.0744681079576006 \tabularnewline
0.31 & 96.6396544868944 & 0.0671054846531321 \tabularnewline
0.32 & 96.6528031630898 & 0.0610167996333075 \tabularnewline
0.33 & 96.6647967169373 & 0.0565250118953533 \tabularnewline
0.34 & 96.6759177172536 & 0.0535064838091539 \tabularnewline
0.35 & 96.6864472280952 & 0.052000214596472 \tabularnewline
0.36 & 96.6966433417587 & 0.051737457619391 \tabularnewline
0.37 & 96.7067298726838 & 0.0524554548272214 \tabularnewline
0.38 & 96.7168934272061 & 0.0537907889187503 \tabularnewline
0.39 & 96.7272859280598 & 0.0558474672072509 \tabularnewline
0.4 & 96.7380294958227 & 0.0584939200286977 \tabularnewline
0.41 & 96.7492211897465 & 0.061546345584188 \tabularnewline
0.42 & 96.760936171031 & 0.0649396039027089 \tabularnewline
0.43 & 96.7732290148337 & 0.0685421631283076 \tabularnewline
0.44 & 96.7861338479745 & 0.0722511663088236 \tabularnewline
0.45 & 96.7996645165442 & 0.0760306002941424 \tabularnewline
0.46 & 96.8138160167551 & 0.0795371679860992 \tabularnewline
0.47 & 96.8285680136528 & 0.0828569290920454 \tabularnewline
0.48 & 96.8438905900574 & 0.0858473499282703 \tabularnewline
0.49 & 96.8597516288073 & 0.0885531357731078 \tabularnewline
0.5 & 96.8761246448622 & 0.0911695336710016 \tabularnewline
0.51 & 96.8929956023306 & 0.0934675009810093 \tabularnewline
0.52 & 96.9103673387422 & 0.0960176906726381 \tabularnewline
0.53 & 96.9282606447669 & 0.0986159188147674 \tabularnewline
0.54 & 96.9467117061425 & 0.101538726446688 \tabularnewline
0.55 & 96.9657663572253 & 0.104752012814492 \tabularnewline
0.56 & 96.9854722684141 & 0.108270353299142 \tabularnewline
0.57 & 97.00587066527 & 0.111872725219899 \tabularnewline
0.58 & 97.0269893744653 & 0.115614162930378 \tabularnewline
0.59 & 97.0488388827447 & 0.119191564627406 \tabularnewline
0.6 & 97.071412699379 & 0.122625091079119 \tabularnewline
0.61 & 97.0946926833899 & 0.125791776909084 \tabularnewline
0.62 & 97.1186592042532 & 0.128640527824648 \tabularnewline
0.63 & 97.1433051221614 & 0.131101339183736 \tabularnewline
0.64 & 97.1686516739407 & 0.133631118154129 \tabularnewline
0.65 & 97.1947635162236 & 0.136379283589713 \tabularnewline
0.66 & 97.2217595257292 & 0.139650004142581 \tabularnewline
0.67 & 97.2498156664488 & 0.143921341589821 \tabularnewline
0.68 & 97.2791565557046 & 0.149399985531581 \tabularnewline
0.69 & 97.3100335852503 & 0.156286938521435 \tabularnewline
0.7 & 97.342689816206 & 0.164387659485549 \tabularnewline
0.71 & 97.377315400711 & 0.173465157596618 \tabularnewline
0.72 & 97.4140016463872 & 0.182739591786404 \tabularnewline
0.73 & 97.4527061857761 & 0.191367876318081 \tabularnewline
0.74 & 97.493244686713 & 0.198418127306888 \tabularnewline
0.75 & 97.5353244597086 & 0.203167221954254 \tabularnewline
0.76 & 97.5786305662546 & 0.205215604201179 \tabularnewline
0.77 & 97.6229646089202 & 0.205117276973257 \tabularnewline
0.78 & 97.6684205500218 & 0.204174509855072 \tabularnewline
0.79 & 97.7155627856438 & 0.205027328418657 \tabularnewline
0.8 & 97.7655537131825 & 0.211089164071663 \tabularnewline
0.81 & 97.820167891078 & 0.225810320159223 \tabularnewline
0.82 & 97.8816357994048 & 0.251648574132686 \tabularnewline
0.83 & 97.952289667904 & 0.288194437537778 \tabularnewline
0.84 & 98.034039722201 & 0.33195677739133 \tabularnewline
0.85 & 98.1277845647867 & 0.376883440820142 \tabularnewline
0.86 & 98.23293297403 & 0.415216806926305 \tabularnewline
0.87 & 98.3472504146077 & 0.439550962487902 \tabularnewline
0.88 & 98.4672004017827 & 0.444364351503181 \tabularnewline
0.89 & 98.5888011903986 & 0.42884293009635 \tabularnewline
0.9 & 98.7087779646971 & 0.397555645778085 \tabularnewline
0.91 & 98.8255450660506 & 0.359945477657513 \tabularnewline
0.92 & 98.9394557644885 & 0.327140057886821 \tabularnewline
0.93 & 99.0519720663454 & 0.30544228514799 \tabularnewline
0.94 & 99.1639742137205 & 0.290600107803561 \tabularnewline
0.95 & 99.2741109007159 & 0.270051591737716 \tabularnewline
0.96 & 99.3783469329713 & 0.233177544656801 \tabularnewline
0.97 & 99.4711510709957 & 0.180032723052835 \tabularnewline
0.98 & 99.5472074656756 & 0.122253549344087 \tabularnewline
0.99 & 99.60171069116 & 0.0775385543846326 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163187&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]96.1861351020942[/C][C]0.0174150623795918[/C][/ROW]
[ROW][C]0.02[/C][C]96.1954228350882[/C][C]0.01619489854432[/C][/ROW]
[ROW][C]0.03[/C][C]96.2056623626137[/C][C]0.0189239762724408[/C][/ROW]
[ROW][C]0.04[/C][C]96.216480158861[/C][C]0.0249234198716133[/C][/ROW]
[ROW][C]0.05[/C][C]96.2283008155572[/C][C]0.0315965910292706[/C][/ROW]
[ROW][C]0.06[/C][C]96.2413044990295[/C][C]0.0370275468384913[/C][/ROW]
[ROW][C]0.07[/C][C]96.255189585946[/C][C]0.0403200526889621[/C][/ROW]
[ROW][C]0.08[/C][C]96.2693958595469[/C][C]0.0415837961297438[/C][/ROW]
[ROW][C]0.09[/C][C]96.2833792457501[/C][C]0.0414645823410801[/C][/ROW]
[ROW][C]0.1[/C][C]96.2967665813787[/C][C]0.040583543842249[/C][/ROW]
[ROW][C]0.11[/C][C]96.3093902848782[/C][C]0.0394694323917003[/C][/ROW]
[ROW][C]0.12[/C][C]96.3212618366811[/C][C]0.0385809070264131[/C][/ROW]
[ROW][C]0.13[/C][C]96.3325340473889[/C][C]0.0384044577696951[/C][/ROW]
[ROW][C]0.14[/C][C]96.3434723369079[/C][C]0.0393795907602053[/C][/ROW]
[ROW][C]0.15[/C][C]96.3544323300534[/C][C]0.0421023490979743[/C][/ROW]
[ROW][C]0.16[/C][C]96.3658328274704[/C][C]0.0469227532202272[/C][/ROW]
[ROW][C]0.17[/C][C]96.3781160239978[/C][C]0.0539534730198124[/C][/ROW]
[ROW][C]0.18[/C][C]96.3916942869229[/C][C]0.0627590210361503[/C][/ROW]
[ROW][C]0.19[/C][C]96.4068900684394[/C][C]0.072738646547789[/C][/ROW]
[ROW][C]0.2[/C][C]96.4238801293208[/C][C]0.0830798742289454[/C][/ROW]
[ROW][C]0.21[/C][C]96.4426562842706[/C][C]0.0926409679105693[/C][/ROW]
[ROW][C]0.22[/C][C]96.4630123763602[/C][C]0.100586118590338[/C][/ROW]
[ROW][C]0.23[/C][C]96.4845619275114[/C][C]0.106010956830554[/C][/ROW]
[ROW][C]0.24[/C][C]96.5067843209072[/C][C]0.108525079623195[/C][/ROW]
[ROW][C]0.25[/C][C]96.5290912264471[/C][C]0.107810786606552[/C][/ROW]
[ROW][C]0.26[/C][C]96.5509009091813[/C][C]0.104220355658595[/C][/ROW]
[ROW][C]0.27[/C][C]96.5717070436181[/C][C]0.0982731786294772[/C][/ROW]
[ROW][C]0.28[/C][C]96.5911307554888[/C][C]0.0908053031215051[/C][/ROW]
[ROW][C]0.29[/C][C]96.6089490242331[/C][C]0.0825898530802122[/C][/ROW]
[ROW][C]0.3[/C][C]96.6250979682448[/C][C]0.0744681079576006[/C][/ROW]
[ROW][C]0.31[/C][C]96.6396544868944[/C][C]0.0671054846531321[/C][/ROW]
[ROW][C]0.32[/C][C]96.6528031630898[/C][C]0.0610167996333075[/C][/ROW]
[ROW][C]0.33[/C][C]96.6647967169373[/C][C]0.0565250118953533[/C][/ROW]
[ROW][C]0.34[/C][C]96.6759177172536[/C][C]0.0535064838091539[/C][/ROW]
[ROW][C]0.35[/C][C]96.6864472280952[/C][C]0.052000214596472[/C][/ROW]
[ROW][C]0.36[/C][C]96.6966433417587[/C][C]0.051737457619391[/C][/ROW]
[ROW][C]0.37[/C][C]96.7067298726838[/C][C]0.0524554548272214[/C][/ROW]
[ROW][C]0.38[/C][C]96.7168934272061[/C][C]0.0537907889187503[/C][/ROW]
[ROW][C]0.39[/C][C]96.7272859280598[/C][C]0.0558474672072509[/C][/ROW]
[ROW][C]0.4[/C][C]96.7380294958227[/C][C]0.0584939200286977[/C][/ROW]
[ROW][C]0.41[/C][C]96.7492211897465[/C][C]0.061546345584188[/C][/ROW]
[ROW][C]0.42[/C][C]96.760936171031[/C][C]0.0649396039027089[/C][/ROW]
[ROW][C]0.43[/C][C]96.7732290148337[/C][C]0.0685421631283076[/C][/ROW]
[ROW][C]0.44[/C][C]96.7861338479745[/C][C]0.0722511663088236[/C][/ROW]
[ROW][C]0.45[/C][C]96.7996645165442[/C][C]0.0760306002941424[/C][/ROW]
[ROW][C]0.46[/C][C]96.8138160167551[/C][C]0.0795371679860992[/C][/ROW]
[ROW][C]0.47[/C][C]96.8285680136528[/C][C]0.0828569290920454[/C][/ROW]
[ROW][C]0.48[/C][C]96.8438905900574[/C][C]0.0858473499282703[/C][/ROW]
[ROW][C]0.49[/C][C]96.8597516288073[/C][C]0.0885531357731078[/C][/ROW]
[ROW][C]0.5[/C][C]96.8761246448622[/C][C]0.0911695336710016[/C][/ROW]
[ROW][C]0.51[/C][C]96.8929956023306[/C][C]0.0934675009810093[/C][/ROW]
[ROW][C]0.52[/C][C]96.9103673387422[/C][C]0.0960176906726381[/C][/ROW]
[ROW][C]0.53[/C][C]96.9282606447669[/C][C]0.0986159188147674[/C][/ROW]
[ROW][C]0.54[/C][C]96.9467117061425[/C][C]0.101538726446688[/C][/ROW]
[ROW][C]0.55[/C][C]96.9657663572253[/C][C]0.104752012814492[/C][/ROW]
[ROW][C]0.56[/C][C]96.9854722684141[/C][C]0.108270353299142[/C][/ROW]
[ROW][C]0.57[/C][C]97.00587066527[/C][C]0.111872725219899[/C][/ROW]
[ROW][C]0.58[/C][C]97.0269893744653[/C][C]0.115614162930378[/C][/ROW]
[ROW][C]0.59[/C][C]97.0488388827447[/C][C]0.119191564627406[/C][/ROW]
[ROW][C]0.6[/C][C]97.071412699379[/C][C]0.122625091079119[/C][/ROW]
[ROW][C]0.61[/C][C]97.0946926833899[/C][C]0.125791776909084[/C][/ROW]
[ROW][C]0.62[/C][C]97.1186592042532[/C][C]0.128640527824648[/C][/ROW]
[ROW][C]0.63[/C][C]97.1433051221614[/C][C]0.131101339183736[/C][/ROW]
[ROW][C]0.64[/C][C]97.1686516739407[/C][C]0.133631118154129[/C][/ROW]
[ROW][C]0.65[/C][C]97.1947635162236[/C][C]0.136379283589713[/C][/ROW]
[ROW][C]0.66[/C][C]97.2217595257292[/C][C]0.139650004142581[/C][/ROW]
[ROW][C]0.67[/C][C]97.2498156664488[/C][C]0.143921341589821[/C][/ROW]
[ROW][C]0.68[/C][C]97.2791565557046[/C][C]0.149399985531581[/C][/ROW]
[ROW][C]0.69[/C][C]97.3100335852503[/C][C]0.156286938521435[/C][/ROW]
[ROW][C]0.7[/C][C]97.342689816206[/C][C]0.164387659485549[/C][/ROW]
[ROW][C]0.71[/C][C]97.377315400711[/C][C]0.173465157596618[/C][/ROW]
[ROW][C]0.72[/C][C]97.4140016463872[/C][C]0.182739591786404[/C][/ROW]
[ROW][C]0.73[/C][C]97.4527061857761[/C][C]0.191367876318081[/C][/ROW]
[ROW][C]0.74[/C][C]97.493244686713[/C][C]0.198418127306888[/C][/ROW]
[ROW][C]0.75[/C][C]97.5353244597086[/C][C]0.203167221954254[/C][/ROW]
[ROW][C]0.76[/C][C]97.5786305662546[/C][C]0.205215604201179[/C][/ROW]
[ROW][C]0.77[/C][C]97.6229646089202[/C][C]0.205117276973257[/C][/ROW]
[ROW][C]0.78[/C][C]97.6684205500218[/C][C]0.204174509855072[/C][/ROW]
[ROW][C]0.79[/C][C]97.7155627856438[/C][C]0.205027328418657[/C][/ROW]
[ROW][C]0.8[/C][C]97.7655537131825[/C][C]0.211089164071663[/C][/ROW]
[ROW][C]0.81[/C][C]97.820167891078[/C][C]0.225810320159223[/C][/ROW]
[ROW][C]0.82[/C][C]97.8816357994048[/C][C]0.251648574132686[/C][/ROW]
[ROW][C]0.83[/C][C]97.952289667904[/C][C]0.288194437537778[/C][/ROW]
[ROW][C]0.84[/C][C]98.034039722201[/C][C]0.33195677739133[/C][/ROW]
[ROW][C]0.85[/C][C]98.1277845647867[/C][C]0.376883440820142[/C][/ROW]
[ROW][C]0.86[/C][C]98.23293297403[/C][C]0.415216806926305[/C][/ROW]
[ROW][C]0.87[/C][C]98.3472504146077[/C][C]0.439550962487902[/C][/ROW]
[ROW][C]0.88[/C][C]98.4672004017827[/C][C]0.444364351503181[/C][/ROW]
[ROW][C]0.89[/C][C]98.5888011903986[/C][C]0.42884293009635[/C][/ROW]
[ROW][C]0.9[/C][C]98.7087779646971[/C][C]0.397555645778085[/C][/ROW]
[ROW][C]0.91[/C][C]98.8255450660506[/C][C]0.359945477657513[/C][/ROW]
[ROW][C]0.92[/C][C]98.9394557644885[/C][C]0.327140057886821[/C][/ROW]
[ROW][C]0.93[/C][C]99.0519720663454[/C][C]0.30544228514799[/C][/ROW]
[ROW][C]0.94[/C][C]99.1639742137205[/C][C]0.290600107803561[/C][/ROW]
[ROW][C]0.95[/C][C]99.2741109007159[/C][C]0.270051591737716[/C][/ROW]
[ROW][C]0.96[/C][C]99.3783469329713[/C][C]0.233177544656801[/C][/ROW]
[ROW][C]0.97[/C][C]99.4711510709957[/C][C]0.180032723052835[/C][/ROW]
[ROW][C]0.98[/C][C]99.5472074656756[/C][C]0.122253549344087[/C][/ROW]
[ROW][C]0.99[/C][C]99.60171069116[/C][C]0.0775385543846326[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163187&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163187&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
0.0196.18613510209420.0174150623795918
0.0296.19542283508820.01619489854432
0.0396.20566236261370.0189239762724408
0.0496.2164801588610.0249234198716133
0.0596.22830081555720.0315965910292706
0.0696.24130449902950.0370275468384913
0.0796.2551895859460.0403200526889621
0.0896.26939585954690.0415837961297438
0.0996.28337924575010.0414645823410801
0.196.29676658137870.040583543842249
0.1196.30939028487820.0394694323917003
0.1296.32126183668110.0385809070264131
0.1396.33253404738890.0384044577696951
0.1496.34347233690790.0393795907602053
0.1596.35443233005340.0421023490979743
0.1696.36583282747040.0469227532202272
0.1796.37811602399780.0539534730198124
0.1896.39169428692290.0627590210361503
0.1996.40689006843940.072738646547789
0.296.42388012932080.0830798742289454
0.2196.44265628427060.0926409679105693
0.2296.46301237636020.100586118590338
0.2396.48456192751140.106010956830554
0.2496.50678432090720.108525079623195
0.2596.52909122644710.107810786606552
0.2696.55090090918130.104220355658595
0.2796.57170704361810.0982731786294772
0.2896.59113075548880.0908053031215051
0.2996.60894902423310.0825898530802122
0.396.62509796824480.0744681079576006
0.3196.63965448689440.0671054846531321
0.3296.65280316308980.0610167996333075
0.3396.66479671693730.0565250118953533
0.3496.67591771725360.0535064838091539
0.3596.68644722809520.052000214596472
0.3696.69664334175870.051737457619391
0.3796.70672987268380.0524554548272214
0.3896.71689342720610.0537907889187503
0.3996.72728592805980.0558474672072509
0.496.73802949582270.0584939200286977
0.4196.74922118974650.061546345584188
0.4296.7609361710310.0649396039027089
0.4396.77322901483370.0685421631283076
0.4496.78613384797450.0722511663088236
0.4596.79966451654420.0760306002941424
0.4696.81381601675510.0795371679860992
0.4796.82856801365280.0828569290920454
0.4896.84389059005740.0858473499282703
0.4996.85975162880730.0885531357731078
0.596.87612464486220.0911695336710016
0.5196.89299560233060.0934675009810093
0.5296.91036733874220.0960176906726381
0.5396.92826064476690.0986159188147674
0.5496.94671170614250.101538726446688
0.5596.96576635722530.104752012814492
0.5696.98547226841410.108270353299142
0.5797.005870665270.111872725219899
0.5897.02698937446530.115614162930378
0.5997.04883888274470.119191564627406
0.697.0714126993790.122625091079119
0.6197.09469268338990.125791776909084
0.6297.11865920425320.128640527824648
0.6397.14330512216140.131101339183736
0.6497.16865167394070.133631118154129
0.6597.19476351622360.136379283589713
0.6697.22175952572920.139650004142581
0.6797.24981566644880.143921341589821
0.6897.27915655570460.149399985531581
0.6997.31003358525030.156286938521435
0.797.3426898162060.164387659485549
0.7197.3773154007110.173465157596618
0.7297.41400164638720.182739591786404
0.7397.45270618577610.191367876318081
0.7497.4932446867130.198418127306888
0.7597.53532445970860.203167221954254
0.7697.57863056625460.205215604201179
0.7797.62296460892020.205117276973257
0.7897.66842055002180.204174509855072
0.7997.71556278564380.205027328418657
0.897.76555371318250.211089164071663
0.8197.8201678910780.225810320159223
0.8297.88163579940480.251648574132686
0.8397.9522896679040.288194437537778
0.8498.0340397222010.33195677739133
0.8598.12778456478670.376883440820142
0.8698.232932974030.415216806926305
0.8798.34725041460770.439550962487902
0.8898.46720040178270.444364351503181
0.8998.58880119039860.42884293009635
0.998.70877796469710.397555645778085
0.9198.82554506605060.359945477657513
0.9298.93945576448850.327140057886821
0.9399.05197206634540.30544228514799
0.9499.16397421372050.290600107803561
0.9599.27411090071590.270051591737716
0.9699.37834693297130.233177544656801
0.9799.47115107099570.180032723052835
0.9899.54720746567560.122253549344087
0.9999.601710691160.0775385543846326


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')