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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 computationFri, 22 Feb 2013 03:17:34 -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/2013/Feb/22/t1361521093adddc3awvcj1a94.htm/, Retrieved Sat, 04 May 2024 03:29:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206825, Retrieved Sat, 04 May 2024 03:29:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [gemiddelde consum...] [2013-02-22 08:17:34] [a7b46db3730015db727d65b06ff3f02a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51
12.27
12.51
12.44
12.47
12.51
12.58
12.5
12.52
12.59
12.51
12.67
12.64
12.54
12.6
12.67
12.62
12.72
12.85
12.85
12.82
12.79
12.94
12.71
12.56
12.64
12.7
12.74
12.85
12.84
12.83
12.88
13.07
12.99
13.2
13.23
13.18

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206825&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206825&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206825&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.95067982751620.0839201474605601
0.0211.00572871178430.115919318809191
0.0311.07281775527190.133807062451119
0.0411.14158627644730.138252695389703
0.0511.20657550440950.137255326281841
0.0611.26619407966080.135778956147743
0.0711.32096420651260.136103029151296
0.0811.37222512759650.139498839679724
0.0911.42137859577110.145922972986065
0.111.46946416775620.153662933334756
0.1111.51693108710430.160082421725215
0.1211.56358720546280.162771362623935
0.1311.60872066775150.160250579272061
0.1411.6513437780050.152282044352336
0.1511.69047235675330.139673631495557
0.1611.72535779479440.123964200443723
0.1711.75562242460290.106983827841231
0.1811.78128897812860.0904439635480767
0.1911.80272523836410.0757244076919535
0.211.82053952599760.0637135758325332
0.2111.83546304624720.0548154872041122
0.2211.8482465080720.0490264969308624
0.2311.85958637160390.046018295738484
0.2411.87008480839870.0452805908323188
0.2511.88023928432170.0463400360928724
0.2611.89045318919860.0488394721755225
0.2711.90105762451380.052613302433532
0.2811.91233535515220.0576033106754716
0.2911.92454008639030.0638468867104777
0.311.93790691794740.071306483975319
0.3111.95265255566370.0799574020817098
0.3211.96896628411460.0896039492280285
0.3311.98699456549920.0999677273330729
0.3412.00682324951110.110600629901652
0.3512.02846166534970.121053664656883
0.3612.05183234692990.130768881717623
0.3712.07676896527430.13925348632642
0.3812.10302345997790.146112361013472
0.3912.1302816849280.150964894999723
0.412.15818542479450.153699701030193
0.4112.1863576566210.154249207433761
0.4212.21442758279060.152769213207731
0.4312.24205227665970.149476955693761
0.4412.2689326569360.144675765136138
0.4512.29482272922240.138674571511179
0.4612.31953232869460.131815163138448
0.4712.34292469113910.124373863220625
0.4812.36491085515870.116576067928139
0.4912.38544304757420.108619247590054
0.512.40450884536460.100643536680813
0.5112.4221271758370.0927844291019999
0.5212.43834632535660.0851773300461749
0.5312.45324331203020.0780028230215291
0.5412.46692344000440.0713608766239731
0.5512.47951871111970.0654895558853036
0.5612.49118403560650.0604879557923041
0.5712.50209076567030.0565082763320443
0.5812.51241780726030.0535613785802612
0.5912.52234124976550.0516560109761525
0.612.5320239165980.050628898316471
0.6112.54160637286240.0503433761593337
0.6212.55120071072730.0505715011011777
0.6312.56088793897260.0511099247575448
0.6412.57071916500290.0517588858311977
0.6512.58072013287650.0524071571775121
0.6612.59089820483670.0529628225379815
0.6712.60125062353870.0533854672187096
0.6812.61177287039210.0537124530758229
0.6912.62246607854570.053984242328201
0.712.63334266667770.0542877040423329
0.7112.64442953760060.0546907372557789
0.7212.6557682886010.0552770993288132
0.7312.66741194112580.0561166984026238
0.7412.6794178275830.0572261789817035
0.7512.69183662817270.0585587003398406
0.7612.70469826124530.060007314846838
0.7712.71799641627530.061378205566732
0.7812.73167481783720.0624009600623225
0.7912.74561946453850.0627701358321522
0.812.75966161168810.0622090127110171
0.8112.7735956875280.0605398457508169
0.8212.7872143665650.057735181382093
0.8312.80035971689090.0540164017856624
0.8412.81298512745290.0498670688621387
0.8512.82521840910.0460456864974376
0.8612.83741314671120.0435462697728247
0.8712.85017429100830.0434804933252166
0.8812.8643460603810.0466969637166523
0.8912.88095521838650.0534407120616352
0.912.90110809457930.0632448750870625
0.9112.92584045201210.0751391070951438
0.9212.95591248718890.0877430661887468
0.9312.99153570577450.0991810798138265
0.9413.03204414963840.106882258014737
0.9513.07561658389330.107643753853551
0.9613.11929388160170.0984929963903532
0.9713.15952740743370.0790089440399431
0.9813.19305626427240.0541916651269504
0.9913.21728039257990.0351345342841176

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.9506798275162 & 0.0839201474605601 \tabularnewline
0.02 & 11.0057287117843 & 0.115919318809191 \tabularnewline
0.03 & 11.0728177552719 & 0.133807062451119 \tabularnewline
0.04 & 11.1415862764473 & 0.138252695389703 \tabularnewline
0.05 & 11.2065755044095 & 0.137255326281841 \tabularnewline
0.06 & 11.2661940796608 & 0.135778956147743 \tabularnewline
0.07 & 11.3209642065126 & 0.136103029151296 \tabularnewline
0.08 & 11.3722251275965 & 0.139498839679724 \tabularnewline
0.09 & 11.4213785957711 & 0.145922972986065 \tabularnewline
0.1 & 11.4694641677562 & 0.153662933334756 \tabularnewline
0.11 & 11.5169310871043 & 0.160082421725215 \tabularnewline
0.12 & 11.5635872054628 & 0.162771362623935 \tabularnewline
0.13 & 11.6087206677515 & 0.160250579272061 \tabularnewline
0.14 & 11.651343778005 & 0.152282044352336 \tabularnewline
0.15 & 11.6904723567533 & 0.139673631495557 \tabularnewline
0.16 & 11.7253577947944 & 0.123964200443723 \tabularnewline
0.17 & 11.7556224246029 & 0.106983827841231 \tabularnewline
0.18 & 11.7812889781286 & 0.0904439635480767 \tabularnewline
0.19 & 11.8027252383641 & 0.0757244076919535 \tabularnewline
0.2 & 11.8205395259976 & 0.0637135758325332 \tabularnewline
0.21 & 11.8354630462472 & 0.0548154872041122 \tabularnewline
0.22 & 11.848246508072 & 0.0490264969308624 \tabularnewline
0.23 & 11.8595863716039 & 0.046018295738484 \tabularnewline
0.24 & 11.8700848083987 & 0.0452805908323188 \tabularnewline
0.25 & 11.8802392843217 & 0.0463400360928724 \tabularnewline
0.26 & 11.8904531891986 & 0.0488394721755225 \tabularnewline
0.27 & 11.9010576245138 & 0.052613302433532 \tabularnewline
0.28 & 11.9123353551522 & 0.0576033106754716 \tabularnewline
0.29 & 11.9245400863903 & 0.0638468867104777 \tabularnewline
0.3 & 11.9379069179474 & 0.071306483975319 \tabularnewline
0.31 & 11.9526525556637 & 0.0799574020817098 \tabularnewline
0.32 & 11.9689662841146 & 0.0896039492280285 \tabularnewline
0.33 & 11.9869945654992 & 0.0999677273330729 \tabularnewline
0.34 & 12.0068232495111 & 0.110600629901652 \tabularnewline
0.35 & 12.0284616653497 & 0.121053664656883 \tabularnewline
0.36 & 12.0518323469299 & 0.130768881717623 \tabularnewline
0.37 & 12.0767689652743 & 0.13925348632642 \tabularnewline
0.38 & 12.1030234599779 & 0.146112361013472 \tabularnewline
0.39 & 12.130281684928 & 0.150964894999723 \tabularnewline
0.4 & 12.1581854247945 & 0.153699701030193 \tabularnewline
0.41 & 12.186357656621 & 0.154249207433761 \tabularnewline
0.42 & 12.2144275827906 & 0.152769213207731 \tabularnewline
0.43 & 12.2420522766597 & 0.149476955693761 \tabularnewline
0.44 & 12.268932656936 & 0.144675765136138 \tabularnewline
0.45 & 12.2948227292224 & 0.138674571511179 \tabularnewline
0.46 & 12.3195323286946 & 0.131815163138448 \tabularnewline
0.47 & 12.3429246911391 & 0.124373863220625 \tabularnewline
0.48 & 12.3649108551587 & 0.116576067928139 \tabularnewline
0.49 & 12.3854430475742 & 0.108619247590054 \tabularnewline
0.5 & 12.4045088453646 & 0.100643536680813 \tabularnewline
0.51 & 12.422127175837 & 0.0927844291019999 \tabularnewline
0.52 & 12.4383463253566 & 0.0851773300461749 \tabularnewline
0.53 & 12.4532433120302 & 0.0780028230215291 \tabularnewline
0.54 & 12.4669234400044 & 0.0713608766239731 \tabularnewline
0.55 & 12.4795187111197 & 0.0654895558853036 \tabularnewline
0.56 & 12.4911840356065 & 0.0604879557923041 \tabularnewline
0.57 & 12.5020907656703 & 0.0565082763320443 \tabularnewline
0.58 & 12.5124178072603 & 0.0535613785802612 \tabularnewline
0.59 & 12.5223412497655 & 0.0516560109761525 \tabularnewline
0.6 & 12.532023916598 & 0.050628898316471 \tabularnewline
0.61 & 12.5416063728624 & 0.0503433761593337 \tabularnewline
0.62 & 12.5512007107273 & 0.0505715011011777 \tabularnewline
0.63 & 12.5608879389726 & 0.0511099247575448 \tabularnewline
0.64 & 12.5707191650029 & 0.0517588858311977 \tabularnewline
0.65 & 12.5807201328765 & 0.0524071571775121 \tabularnewline
0.66 & 12.5908982048367 & 0.0529628225379815 \tabularnewline
0.67 & 12.6012506235387 & 0.0533854672187096 \tabularnewline
0.68 & 12.6117728703921 & 0.0537124530758229 \tabularnewline
0.69 & 12.6224660785457 & 0.053984242328201 \tabularnewline
0.7 & 12.6333426666777 & 0.0542877040423329 \tabularnewline
0.71 & 12.6444295376006 & 0.0546907372557789 \tabularnewline
0.72 & 12.655768288601 & 0.0552770993288132 \tabularnewline
0.73 & 12.6674119411258 & 0.0561166984026238 \tabularnewline
0.74 & 12.679417827583 & 0.0572261789817035 \tabularnewline
0.75 & 12.6918366281727 & 0.0585587003398406 \tabularnewline
0.76 & 12.7046982612453 & 0.060007314846838 \tabularnewline
0.77 & 12.7179964162753 & 0.061378205566732 \tabularnewline
0.78 & 12.7316748178372 & 0.0624009600623225 \tabularnewline
0.79 & 12.7456194645385 & 0.0627701358321522 \tabularnewline
0.8 & 12.7596616116881 & 0.0622090127110171 \tabularnewline
0.81 & 12.773595687528 & 0.0605398457508169 \tabularnewline
0.82 & 12.787214366565 & 0.057735181382093 \tabularnewline
0.83 & 12.8003597168909 & 0.0540164017856624 \tabularnewline
0.84 & 12.8129851274529 & 0.0498670688621387 \tabularnewline
0.85 & 12.8252184091 & 0.0460456864974376 \tabularnewline
0.86 & 12.8374131467112 & 0.0435462697728247 \tabularnewline
0.87 & 12.8501742910083 & 0.0434804933252166 \tabularnewline
0.88 & 12.864346060381 & 0.0466969637166523 \tabularnewline
0.89 & 12.8809552183865 & 0.0534407120616352 \tabularnewline
0.9 & 12.9011080945793 & 0.0632448750870625 \tabularnewline
0.91 & 12.9258404520121 & 0.0751391070951438 \tabularnewline
0.92 & 12.9559124871889 & 0.0877430661887468 \tabularnewline
0.93 & 12.9915357057745 & 0.0991810798138265 \tabularnewline
0.94 & 13.0320441496384 & 0.106882258014737 \tabularnewline
0.95 & 13.0756165838933 & 0.107643753853551 \tabularnewline
0.96 & 13.1192938816017 & 0.0984929963903532 \tabularnewline
0.97 & 13.1595274074337 & 0.0790089440399431 \tabularnewline
0.98 & 13.1930562642724 & 0.0541916651269504 \tabularnewline
0.99 & 13.2172803925799 & 0.0351345342841176 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206825&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]10.9506798275162[/C][C]0.0839201474605601[/C][/ROW]
[ROW][C]0.02[/C][C]11.0057287117843[/C][C]0.115919318809191[/C][/ROW]
[ROW][C]0.03[/C][C]11.0728177552719[/C][C]0.133807062451119[/C][/ROW]
[ROW][C]0.04[/C][C]11.1415862764473[/C][C]0.138252695389703[/C][/ROW]
[ROW][C]0.05[/C][C]11.2065755044095[/C][C]0.137255326281841[/C][/ROW]
[ROW][C]0.06[/C][C]11.2661940796608[/C][C]0.135778956147743[/C][/ROW]
[ROW][C]0.07[/C][C]11.3209642065126[/C][C]0.136103029151296[/C][/ROW]
[ROW][C]0.08[/C][C]11.3722251275965[/C][C]0.139498839679724[/C][/ROW]
[ROW][C]0.09[/C][C]11.4213785957711[/C][C]0.145922972986065[/C][/ROW]
[ROW][C]0.1[/C][C]11.4694641677562[/C][C]0.153662933334756[/C][/ROW]
[ROW][C]0.11[/C][C]11.5169310871043[/C][C]0.160082421725215[/C][/ROW]
[ROW][C]0.12[/C][C]11.5635872054628[/C][C]0.162771362623935[/C][/ROW]
[ROW][C]0.13[/C][C]11.6087206677515[/C][C]0.160250579272061[/C][/ROW]
[ROW][C]0.14[/C][C]11.651343778005[/C][C]0.152282044352336[/C][/ROW]
[ROW][C]0.15[/C][C]11.6904723567533[/C][C]0.139673631495557[/C][/ROW]
[ROW][C]0.16[/C][C]11.7253577947944[/C][C]0.123964200443723[/C][/ROW]
[ROW][C]0.17[/C][C]11.7556224246029[/C][C]0.106983827841231[/C][/ROW]
[ROW][C]0.18[/C][C]11.7812889781286[/C][C]0.0904439635480767[/C][/ROW]
[ROW][C]0.19[/C][C]11.8027252383641[/C][C]0.0757244076919535[/C][/ROW]
[ROW][C]0.2[/C][C]11.8205395259976[/C][C]0.0637135758325332[/C][/ROW]
[ROW][C]0.21[/C][C]11.8354630462472[/C][C]0.0548154872041122[/C][/ROW]
[ROW][C]0.22[/C][C]11.848246508072[/C][C]0.0490264969308624[/C][/ROW]
[ROW][C]0.23[/C][C]11.8595863716039[/C][C]0.046018295738484[/C][/ROW]
[ROW][C]0.24[/C][C]11.8700848083987[/C][C]0.0452805908323188[/C][/ROW]
[ROW][C]0.25[/C][C]11.8802392843217[/C][C]0.0463400360928724[/C][/ROW]
[ROW][C]0.26[/C][C]11.8904531891986[/C][C]0.0488394721755225[/C][/ROW]
[ROW][C]0.27[/C][C]11.9010576245138[/C][C]0.052613302433532[/C][/ROW]
[ROW][C]0.28[/C][C]11.9123353551522[/C][C]0.0576033106754716[/C][/ROW]
[ROW][C]0.29[/C][C]11.9245400863903[/C][C]0.0638468867104777[/C][/ROW]
[ROW][C]0.3[/C][C]11.9379069179474[/C][C]0.071306483975319[/C][/ROW]
[ROW][C]0.31[/C][C]11.9526525556637[/C][C]0.0799574020817098[/C][/ROW]
[ROW][C]0.32[/C][C]11.9689662841146[/C][C]0.0896039492280285[/C][/ROW]
[ROW][C]0.33[/C][C]11.9869945654992[/C][C]0.0999677273330729[/C][/ROW]
[ROW][C]0.34[/C][C]12.0068232495111[/C][C]0.110600629901652[/C][/ROW]
[ROW][C]0.35[/C][C]12.0284616653497[/C][C]0.121053664656883[/C][/ROW]
[ROW][C]0.36[/C][C]12.0518323469299[/C][C]0.130768881717623[/C][/ROW]
[ROW][C]0.37[/C][C]12.0767689652743[/C][C]0.13925348632642[/C][/ROW]
[ROW][C]0.38[/C][C]12.1030234599779[/C][C]0.146112361013472[/C][/ROW]
[ROW][C]0.39[/C][C]12.130281684928[/C][C]0.150964894999723[/C][/ROW]
[ROW][C]0.4[/C][C]12.1581854247945[/C][C]0.153699701030193[/C][/ROW]
[ROW][C]0.41[/C][C]12.186357656621[/C][C]0.154249207433761[/C][/ROW]
[ROW][C]0.42[/C][C]12.2144275827906[/C][C]0.152769213207731[/C][/ROW]
[ROW][C]0.43[/C][C]12.2420522766597[/C][C]0.149476955693761[/C][/ROW]
[ROW][C]0.44[/C][C]12.268932656936[/C][C]0.144675765136138[/C][/ROW]
[ROW][C]0.45[/C][C]12.2948227292224[/C][C]0.138674571511179[/C][/ROW]
[ROW][C]0.46[/C][C]12.3195323286946[/C][C]0.131815163138448[/C][/ROW]
[ROW][C]0.47[/C][C]12.3429246911391[/C][C]0.124373863220625[/C][/ROW]
[ROW][C]0.48[/C][C]12.3649108551587[/C][C]0.116576067928139[/C][/ROW]
[ROW][C]0.49[/C][C]12.3854430475742[/C][C]0.108619247590054[/C][/ROW]
[ROW][C]0.5[/C][C]12.4045088453646[/C][C]0.100643536680813[/C][/ROW]
[ROW][C]0.51[/C][C]12.422127175837[/C][C]0.0927844291019999[/C][/ROW]
[ROW][C]0.52[/C][C]12.4383463253566[/C][C]0.0851773300461749[/C][/ROW]
[ROW][C]0.53[/C][C]12.4532433120302[/C][C]0.0780028230215291[/C][/ROW]
[ROW][C]0.54[/C][C]12.4669234400044[/C][C]0.0713608766239731[/C][/ROW]
[ROW][C]0.55[/C][C]12.4795187111197[/C][C]0.0654895558853036[/C][/ROW]
[ROW][C]0.56[/C][C]12.4911840356065[/C][C]0.0604879557923041[/C][/ROW]
[ROW][C]0.57[/C][C]12.5020907656703[/C][C]0.0565082763320443[/C][/ROW]
[ROW][C]0.58[/C][C]12.5124178072603[/C][C]0.0535613785802612[/C][/ROW]
[ROW][C]0.59[/C][C]12.5223412497655[/C][C]0.0516560109761525[/C][/ROW]
[ROW][C]0.6[/C][C]12.532023916598[/C][C]0.050628898316471[/C][/ROW]
[ROW][C]0.61[/C][C]12.5416063728624[/C][C]0.0503433761593337[/C][/ROW]
[ROW][C]0.62[/C][C]12.5512007107273[/C][C]0.0505715011011777[/C][/ROW]
[ROW][C]0.63[/C][C]12.5608879389726[/C][C]0.0511099247575448[/C][/ROW]
[ROW][C]0.64[/C][C]12.5707191650029[/C][C]0.0517588858311977[/C][/ROW]
[ROW][C]0.65[/C][C]12.5807201328765[/C][C]0.0524071571775121[/C][/ROW]
[ROW][C]0.66[/C][C]12.5908982048367[/C][C]0.0529628225379815[/C][/ROW]
[ROW][C]0.67[/C][C]12.6012506235387[/C][C]0.0533854672187096[/C][/ROW]
[ROW][C]0.68[/C][C]12.6117728703921[/C][C]0.0537124530758229[/C][/ROW]
[ROW][C]0.69[/C][C]12.6224660785457[/C][C]0.053984242328201[/C][/ROW]
[ROW][C]0.7[/C][C]12.6333426666777[/C][C]0.0542877040423329[/C][/ROW]
[ROW][C]0.71[/C][C]12.6444295376006[/C][C]0.0546907372557789[/C][/ROW]
[ROW][C]0.72[/C][C]12.655768288601[/C][C]0.0552770993288132[/C][/ROW]
[ROW][C]0.73[/C][C]12.6674119411258[/C][C]0.0561166984026238[/C][/ROW]
[ROW][C]0.74[/C][C]12.679417827583[/C][C]0.0572261789817035[/C][/ROW]
[ROW][C]0.75[/C][C]12.6918366281727[/C][C]0.0585587003398406[/C][/ROW]
[ROW][C]0.76[/C][C]12.7046982612453[/C][C]0.060007314846838[/C][/ROW]
[ROW][C]0.77[/C][C]12.7179964162753[/C][C]0.061378205566732[/C][/ROW]
[ROW][C]0.78[/C][C]12.7316748178372[/C][C]0.0624009600623225[/C][/ROW]
[ROW][C]0.79[/C][C]12.7456194645385[/C][C]0.0627701358321522[/C][/ROW]
[ROW][C]0.8[/C][C]12.7596616116881[/C][C]0.0622090127110171[/C][/ROW]
[ROW][C]0.81[/C][C]12.773595687528[/C][C]0.0605398457508169[/C][/ROW]
[ROW][C]0.82[/C][C]12.787214366565[/C][C]0.057735181382093[/C][/ROW]
[ROW][C]0.83[/C][C]12.8003597168909[/C][C]0.0540164017856624[/C][/ROW]
[ROW][C]0.84[/C][C]12.8129851274529[/C][C]0.0498670688621387[/C][/ROW]
[ROW][C]0.85[/C][C]12.8252184091[/C][C]0.0460456864974376[/C][/ROW]
[ROW][C]0.86[/C][C]12.8374131467112[/C][C]0.0435462697728247[/C][/ROW]
[ROW][C]0.87[/C][C]12.8501742910083[/C][C]0.0434804933252166[/C][/ROW]
[ROW][C]0.88[/C][C]12.864346060381[/C][C]0.0466969637166523[/C][/ROW]
[ROW][C]0.89[/C][C]12.8809552183865[/C][C]0.0534407120616352[/C][/ROW]
[ROW][C]0.9[/C][C]12.9011080945793[/C][C]0.0632448750870625[/C][/ROW]
[ROW][C]0.91[/C][C]12.9258404520121[/C][C]0.0751391070951438[/C][/ROW]
[ROW][C]0.92[/C][C]12.9559124871889[/C][C]0.0877430661887468[/C][/ROW]
[ROW][C]0.93[/C][C]12.9915357057745[/C][C]0.0991810798138265[/C][/ROW]
[ROW][C]0.94[/C][C]13.0320441496384[/C][C]0.106882258014737[/C][/ROW]
[ROW][C]0.95[/C][C]13.0756165838933[/C][C]0.107643753853551[/C][/ROW]
[ROW][C]0.96[/C][C]13.1192938816017[/C][C]0.0984929963903532[/C][/ROW]
[ROW][C]0.97[/C][C]13.1595274074337[/C][C]0.0790089440399431[/C][/ROW]
[ROW][C]0.98[/C][C]13.1930562642724[/C][C]0.0541916651269504[/C][/ROW]
[ROW][C]0.99[/C][C]13.2172803925799[/C][C]0.0351345342841176[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206825&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206825&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
0.0110.95067982751620.0839201474605601
0.0211.00572871178430.115919318809191
0.0311.07281775527190.133807062451119
0.0411.14158627644730.138252695389703
0.0511.20657550440950.137255326281841
0.0611.26619407966080.135778956147743
0.0711.32096420651260.136103029151296
0.0811.37222512759650.139498839679724
0.0911.42137859577110.145922972986065
0.111.46946416775620.153662933334756
0.1111.51693108710430.160082421725215
0.1211.56358720546280.162771362623935
0.1311.60872066775150.160250579272061
0.1411.6513437780050.152282044352336
0.1511.69047235675330.139673631495557
0.1611.72535779479440.123964200443723
0.1711.75562242460290.106983827841231
0.1811.78128897812860.0904439635480767
0.1911.80272523836410.0757244076919535
0.211.82053952599760.0637135758325332
0.2111.83546304624720.0548154872041122
0.2211.8482465080720.0490264969308624
0.2311.85958637160390.046018295738484
0.2411.87008480839870.0452805908323188
0.2511.88023928432170.0463400360928724
0.2611.89045318919860.0488394721755225
0.2711.90105762451380.052613302433532
0.2811.91233535515220.0576033106754716
0.2911.92454008639030.0638468867104777
0.311.93790691794740.071306483975319
0.3111.95265255566370.0799574020817098
0.3211.96896628411460.0896039492280285
0.3311.98699456549920.0999677273330729
0.3412.00682324951110.110600629901652
0.3512.02846166534970.121053664656883
0.3612.05183234692990.130768881717623
0.3712.07676896527430.13925348632642
0.3812.10302345997790.146112361013472
0.3912.1302816849280.150964894999723
0.412.15818542479450.153699701030193
0.4112.1863576566210.154249207433761
0.4212.21442758279060.152769213207731
0.4312.24205227665970.149476955693761
0.4412.2689326569360.144675765136138
0.4512.29482272922240.138674571511179
0.4612.31953232869460.131815163138448
0.4712.34292469113910.124373863220625
0.4812.36491085515870.116576067928139
0.4912.38544304757420.108619247590054
0.512.40450884536460.100643536680813
0.5112.4221271758370.0927844291019999
0.5212.43834632535660.0851773300461749
0.5312.45324331203020.0780028230215291
0.5412.46692344000440.0713608766239731
0.5512.47951871111970.0654895558853036
0.5612.49118403560650.0604879557923041
0.5712.50209076567030.0565082763320443
0.5812.51241780726030.0535613785802612
0.5912.52234124976550.0516560109761525
0.612.5320239165980.050628898316471
0.6112.54160637286240.0503433761593337
0.6212.55120071072730.0505715011011777
0.6312.56088793897260.0511099247575448
0.6412.57071916500290.0517588858311977
0.6512.58072013287650.0524071571775121
0.6612.59089820483670.0529628225379815
0.6712.60125062353870.0533854672187096
0.6812.61177287039210.0537124530758229
0.6912.62246607854570.053984242328201
0.712.63334266667770.0542877040423329
0.7112.64442953760060.0546907372557789
0.7212.6557682886010.0552770993288132
0.7312.66741194112580.0561166984026238
0.7412.6794178275830.0572261789817035
0.7512.69183662817270.0585587003398406
0.7612.70469826124530.060007314846838
0.7712.71799641627530.061378205566732
0.7812.73167481783720.0624009600623225
0.7912.74561946453850.0627701358321522
0.812.75966161168810.0622090127110171
0.8112.7735956875280.0605398457508169
0.8212.7872143665650.057735181382093
0.8312.80035971689090.0540164017856624
0.8412.81298512745290.0498670688621387
0.8512.82521840910.0460456864974376
0.8612.83741314671120.0435462697728247
0.8712.85017429100830.0434804933252166
0.8812.8643460603810.0466969637166523
0.8912.88095521838650.0534407120616352
0.912.90110809457930.0632448750870625
0.9112.92584045201210.0751391070951438
0.9212.95591248718890.0877430661887468
0.9312.99153570577450.0991810798138265
0.9413.03204414963840.106882258014737
0.9513.07561658389330.107643753853551
0.9613.11929388160170.0984929963903532
0.9713.15952740743370.0790089440399431
0.9813.19305626427240.0541916651269504
0.9913.21728039257990.0351345342841176


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')