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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 computationMon, 04 Apr 2011 11:46:08 +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/2011/Apr/04/t1301917714bikryd9z9g6lyxh.htm/, Retrieved Wed, 08 May 2024 23:20:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=120084, Retrieved Wed, 08 May 2024 23:20:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact123

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] [datareeks-Harrel-...] [2011-04-04 11:46:08] [5f5c8efbe9c9fa44487a38aca3b7b49a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5.81
5.76
5.99
6.12
6.03
6.25
5.80
5.67
5.89
5.91
5.86
6.07
6.27
6.68
6.77
6.71
6.62
6.50
5.89
6.05
6.43
6.47
6.62
6.77
6.70
6.95
6.73
7.07
7.28
7.32
6.76
6.93
6.99
7.16
7.28
7.08
7.34
7.87
6.28
6.30
6.36
6.28
5.89
6.04
5.96
6.10
6.26
6.02
6.25
6.41
6.22
6.57
6.18
6.26
6.10
6.02
6.06
6.35
6.21
6.48
6.74
6.53
6.80
6.75
6.56
6.66
6.18
6.40
6.43
6.54
6.44
6.64
6.82
6.97
7.00
6.91
6.74
6.98
6.37
6.56
6.63
6.87
6.68
6.75
6.84
7.15
7.09
6.97
7.15

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' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120084&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120084&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' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.704662605978220.071772969711758
0.025.75037683373940.0543163016543352
0.035.788975921340660.0466715864567178
0.045.81886870989910.0452219410170779
0.055.843352749857890.0446684122453642
0.065.86473038864870.0439780017469522
0.075.884228480530510.0446630513684542
0.085.902755450812790.0475642279104117
0.095.921023960749170.051586398555766
0.15.93936278056430.0548593824112928
0.115.957651393704260.0560948788716165
0.125.975480117008620.0550882530829786
0.135.992413729587890.0525389184551961
0.146.008205199988810.0496140777427136
0.156.022881944505610.047458649478547
0.166.036711661587720.0468406950362796
0.176.050099562088610.0480019982185848
0.186.063472069910820.0507062528684129
0.196.077183186386490.0544315472322135
0.26.091457804153110.0585485256161845
0.216.10637129044330.0624502875934992
0.226.121858017768550.0656036410415765
0.236.137740263412080.0676395543139177
0.246.153769634342230.0683800648640185
0.256.169673943511990.0678029965594646
0.266.185202877778790.0661307454151822
0.276.200166312269510.0637144493321144
0.286.214460267291160.0610155233856015
0.296.228077444374050.0585009548781593
0.36.241101787070310.056627443457578
0.316.253689119189190.0556922190833572
0.326.266038108019980.0558491376909542
0.336.278357174159670.0570294826468563
0.346.29083328656480.059018146380753
0.356.303607805212060.061474932110311
0.366.316762833672410.0640705603779953
0.376.330319275184710.0664830675387903
0.386.34424543005270.0684902460076013
0.396.358473034994260.0699894065949337
0.46.372916531470130.0709592637232182
0.416.387491256742120.0715011992147757
0.426.402127115276540.0717419850655491
0.436.416775810723210.0718083222957382
0.446.431411459814920.0718372125997334
0.456.446025917343630.0718934908654618
0.466.460621077246570.071971842867251
0.476.475200634699680.0720746782681724
0.486.489763365266790.0721169856475836
0.496.504299131171180.0720464239919789
0.56.518787866965490.0718126009647008
0.516.533201005110070.0713532832669494
0.526.54750434847840.0706900182924829
0.536.561661316703230.0698057501801556
0.546.575635704525760.0687205738798948
0.556.589393450591280.0674526157703889
0.566.602903287986810.0660139126627413
0.576.616136449725040.0644317703137143
0.586.629065814055970.0627075249605441
0.596.641665017789440.0608469482366051
0.66.653908163804590.0588430464854494
0.616.665770793005320.0567153823155263
0.626.677232733386490.0544755366955974
0.636.688283214812990.052156559851928
0.646.698928206570680.0498521576367802
0.656.709199317728670.0476865935477157
0.666.719162900756210.0458439469176302
0.676.728927386571340.0445447286993289
0.686.738646548726020.0440227027586477
0.696.74851650894840.0444959851234915
0.76.758764938749020.046108106176324
0.716.769632059276180.048855642782439
0.726.781344567605560.0525905326741399
0.736.794085314575470.057008130314011
0.746.807963163988240.0616748461983508
0.756.822988671049970.0660802147401888
0.766.83906168586720.0697107575142257
0.776.855976343497220.0721010609095192
0.786.873446800183270.0729667941062976
0.796.891153336794660.0722305828830069
0.86.908803295024270.070097882954373
0.816.926195629809670.0670573916768099
0.826.943273370704380.0638194658971445
0.836.960147339374070.0611706639631641
0.846.977079309135690.0597602699093927
0.856.994424256538180.0598750762311081
0.867.01254750915590.0612830691241846
0.877.031747990300060.0633764819089946
0.887.052224939762060.0654561411901909
0.897.074113016325640.0671156756752716
0.97.097573727859930.0684612168190545
0.917.122877166391660.0700749801025201
0.927.150373556426430.0724667550806342
0.937.18031843296080.0751118487735143
0.947.212801896438460.0761205819553348
0.957.248692826432760.0739680796036932
0.967.293454144495270.0730647734289633
0.977.364844625080340.0976549565177304
0.987.495122774948720.191916631657442
0.997.694754669154980.365073461001642

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.70466260597822 & 0.071772969711758 \tabularnewline
0.02 & 5.7503768337394 & 0.0543163016543352 \tabularnewline
0.03 & 5.78897592134066 & 0.0466715864567178 \tabularnewline
0.04 & 5.8188687098991 & 0.0452219410170779 \tabularnewline
0.05 & 5.84335274985789 & 0.0446684122453642 \tabularnewline
0.06 & 5.8647303886487 & 0.0439780017469522 \tabularnewline
0.07 & 5.88422848053051 & 0.0446630513684542 \tabularnewline
0.08 & 5.90275545081279 & 0.0475642279104117 \tabularnewline
0.09 & 5.92102396074917 & 0.051586398555766 \tabularnewline
0.1 & 5.9393627805643 & 0.0548593824112928 \tabularnewline
0.11 & 5.95765139370426 & 0.0560948788716165 \tabularnewline
0.12 & 5.97548011700862 & 0.0550882530829786 \tabularnewline
0.13 & 5.99241372958789 & 0.0525389184551961 \tabularnewline
0.14 & 6.00820519998881 & 0.0496140777427136 \tabularnewline
0.15 & 6.02288194450561 & 0.047458649478547 \tabularnewline
0.16 & 6.03671166158772 & 0.0468406950362796 \tabularnewline
0.17 & 6.05009956208861 & 0.0480019982185848 \tabularnewline
0.18 & 6.06347206991082 & 0.0507062528684129 \tabularnewline
0.19 & 6.07718318638649 & 0.0544315472322135 \tabularnewline
0.2 & 6.09145780415311 & 0.0585485256161845 \tabularnewline
0.21 & 6.1063712904433 & 0.0624502875934992 \tabularnewline
0.22 & 6.12185801776855 & 0.0656036410415765 \tabularnewline
0.23 & 6.13774026341208 & 0.0676395543139177 \tabularnewline
0.24 & 6.15376963434223 & 0.0683800648640185 \tabularnewline
0.25 & 6.16967394351199 & 0.0678029965594646 \tabularnewline
0.26 & 6.18520287777879 & 0.0661307454151822 \tabularnewline
0.27 & 6.20016631226951 & 0.0637144493321144 \tabularnewline
0.28 & 6.21446026729116 & 0.0610155233856015 \tabularnewline
0.29 & 6.22807744437405 & 0.0585009548781593 \tabularnewline
0.3 & 6.24110178707031 & 0.056627443457578 \tabularnewline
0.31 & 6.25368911918919 & 0.0556922190833572 \tabularnewline
0.32 & 6.26603810801998 & 0.0558491376909542 \tabularnewline
0.33 & 6.27835717415967 & 0.0570294826468563 \tabularnewline
0.34 & 6.2908332865648 & 0.059018146380753 \tabularnewline
0.35 & 6.30360780521206 & 0.061474932110311 \tabularnewline
0.36 & 6.31676283367241 & 0.0640705603779953 \tabularnewline
0.37 & 6.33031927518471 & 0.0664830675387903 \tabularnewline
0.38 & 6.3442454300527 & 0.0684902460076013 \tabularnewline
0.39 & 6.35847303499426 & 0.0699894065949337 \tabularnewline
0.4 & 6.37291653147013 & 0.0709592637232182 \tabularnewline
0.41 & 6.38749125674212 & 0.0715011992147757 \tabularnewline
0.42 & 6.40212711527654 & 0.0717419850655491 \tabularnewline
0.43 & 6.41677581072321 & 0.0718083222957382 \tabularnewline
0.44 & 6.43141145981492 & 0.0718372125997334 \tabularnewline
0.45 & 6.44602591734363 & 0.0718934908654618 \tabularnewline
0.46 & 6.46062107724657 & 0.071971842867251 \tabularnewline
0.47 & 6.47520063469968 & 0.0720746782681724 \tabularnewline
0.48 & 6.48976336526679 & 0.0721169856475836 \tabularnewline
0.49 & 6.50429913117118 & 0.0720464239919789 \tabularnewline
0.5 & 6.51878786696549 & 0.0718126009647008 \tabularnewline
0.51 & 6.53320100511007 & 0.0713532832669494 \tabularnewline
0.52 & 6.5475043484784 & 0.0706900182924829 \tabularnewline
0.53 & 6.56166131670323 & 0.0698057501801556 \tabularnewline
0.54 & 6.57563570452576 & 0.0687205738798948 \tabularnewline
0.55 & 6.58939345059128 & 0.0674526157703889 \tabularnewline
0.56 & 6.60290328798681 & 0.0660139126627413 \tabularnewline
0.57 & 6.61613644972504 & 0.0644317703137143 \tabularnewline
0.58 & 6.62906581405597 & 0.0627075249605441 \tabularnewline
0.59 & 6.64166501778944 & 0.0608469482366051 \tabularnewline
0.6 & 6.65390816380459 & 0.0588430464854494 \tabularnewline
0.61 & 6.66577079300532 & 0.0567153823155263 \tabularnewline
0.62 & 6.67723273338649 & 0.0544755366955974 \tabularnewline
0.63 & 6.68828321481299 & 0.052156559851928 \tabularnewline
0.64 & 6.69892820657068 & 0.0498521576367802 \tabularnewline
0.65 & 6.70919931772867 & 0.0476865935477157 \tabularnewline
0.66 & 6.71916290075621 & 0.0458439469176302 \tabularnewline
0.67 & 6.72892738657134 & 0.0445447286993289 \tabularnewline
0.68 & 6.73864654872602 & 0.0440227027586477 \tabularnewline
0.69 & 6.7485165089484 & 0.0444959851234915 \tabularnewline
0.7 & 6.75876493874902 & 0.046108106176324 \tabularnewline
0.71 & 6.76963205927618 & 0.048855642782439 \tabularnewline
0.72 & 6.78134456760556 & 0.0525905326741399 \tabularnewline
0.73 & 6.79408531457547 & 0.057008130314011 \tabularnewline
0.74 & 6.80796316398824 & 0.0616748461983508 \tabularnewline
0.75 & 6.82298867104997 & 0.0660802147401888 \tabularnewline
0.76 & 6.8390616858672 & 0.0697107575142257 \tabularnewline
0.77 & 6.85597634349722 & 0.0721010609095192 \tabularnewline
0.78 & 6.87344680018327 & 0.0729667941062976 \tabularnewline
0.79 & 6.89115333679466 & 0.0722305828830069 \tabularnewline
0.8 & 6.90880329502427 & 0.070097882954373 \tabularnewline
0.81 & 6.92619562980967 & 0.0670573916768099 \tabularnewline
0.82 & 6.94327337070438 & 0.0638194658971445 \tabularnewline
0.83 & 6.96014733937407 & 0.0611706639631641 \tabularnewline
0.84 & 6.97707930913569 & 0.0597602699093927 \tabularnewline
0.85 & 6.99442425653818 & 0.0598750762311081 \tabularnewline
0.86 & 7.0125475091559 & 0.0612830691241846 \tabularnewline
0.87 & 7.03174799030006 & 0.0633764819089946 \tabularnewline
0.88 & 7.05222493976206 & 0.0654561411901909 \tabularnewline
0.89 & 7.07411301632564 & 0.0671156756752716 \tabularnewline
0.9 & 7.09757372785993 & 0.0684612168190545 \tabularnewline
0.91 & 7.12287716639166 & 0.0700749801025201 \tabularnewline
0.92 & 7.15037355642643 & 0.0724667550806342 \tabularnewline
0.93 & 7.1803184329608 & 0.0751118487735143 \tabularnewline
0.94 & 7.21280189643846 & 0.0761205819553348 \tabularnewline
0.95 & 7.24869282643276 & 0.0739680796036932 \tabularnewline
0.96 & 7.29345414449527 & 0.0730647734289633 \tabularnewline
0.97 & 7.36484462508034 & 0.0976549565177304 \tabularnewline
0.98 & 7.49512277494872 & 0.191916631657442 \tabularnewline
0.99 & 7.69475466915498 & 0.365073461001642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120084&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]5.70466260597822[/C][C]0.071772969711758[/C][/ROW]
[ROW][C]0.02[/C][C]5.7503768337394[/C][C]0.0543163016543352[/C][/ROW]
[ROW][C]0.03[/C][C]5.78897592134066[/C][C]0.0466715864567178[/C][/ROW]
[ROW][C]0.04[/C][C]5.8188687098991[/C][C]0.0452219410170779[/C][/ROW]
[ROW][C]0.05[/C][C]5.84335274985789[/C][C]0.0446684122453642[/C][/ROW]
[ROW][C]0.06[/C][C]5.8647303886487[/C][C]0.0439780017469522[/C][/ROW]
[ROW][C]0.07[/C][C]5.88422848053051[/C][C]0.0446630513684542[/C][/ROW]
[ROW][C]0.08[/C][C]5.90275545081279[/C][C]0.0475642279104117[/C][/ROW]
[ROW][C]0.09[/C][C]5.92102396074917[/C][C]0.051586398555766[/C][/ROW]
[ROW][C]0.1[/C][C]5.9393627805643[/C][C]0.0548593824112928[/C][/ROW]
[ROW][C]0.11[/C][C]5.95765139370426[/C][C]0.0560948788716165[/C][/ROW]
[ROW][C]0.12[/C][C]5.97548011700862[/C][C]0.0550882530829786[/C][/ROW]
[ROW][C]0.13[/C][C]5.99241372958789[/C][C]0.0525389184551961[/C][/ROW]
[ROW][C]0.14[/C][C]6.00820519998881[/C][C]0.0496140777427136[/C][/ROW]
[ROW][C]0.15[/C][C]6.02288194450561[/C][C]0.047458649478547[/C][/ROW]
[ROW][C]0.16[/C][C]6.03671166158772[/C][C]0.0468406950362796[/C][/ROW]
[ROW][C]0.17[/C][C]6.05009956208861[/C][C]0.0480019982185848[/C][/ROW]
[ROW][C]0.18[/C][C]6.06347206991082[/C][C]0.0507062528684129[/C][/ROW]
[ROW][C]0.19[/C][C]6.07718318638649[/C][C]0.0544315472322135[/C][/ROW]
[ROW][C]0.2[/C][C]6.09145780415311[/C][C]0.0585485256161845[/C][/ROW]
[ROW][C]0.21[/C][C]6.1063712904433[/C][C]0.0624502875934992[/C][/ROW]
[ROW][C]0.22[/C][C]6.12185801776855[/C][C]0.0656036410415765[/C][/ROW]
[ROW][C]0.23[/C][C]6.13774026341208[/C][C]0.0676395543139177[/C][/ROW]
[ROW][C]0.24[/C][C]6.15376963434223[/C][C]0.0683800648640185[/C][/ROW]
[ROW][C]0.25[/C][C]6.16967394351199[/C][C]0.0678029965594646[/C][/ROW]
[ROW][C]0.26[/C][C]6.18520287777879[/C][C]0.0661307454151822[/C][/ROW]
[ROW][C]0.27[/C][C]6.20016631226951[/C][C]0.0637144493321144[/C][/ROW]
[ROW][C]0.28[/C][C]6.21446026729116[/C][C]0.0610155233856015[/C][/ROW]
[ROW][C]0.29[/C][C]6.22807744437405[/C][C]0.0585009548781593[/C][/ROW]
[ROW][C]0.3[/C][C]6.24110178707031[/C][C]0.056627443457578[/C][/ROW]
[ROW][C]0.31[/C][C]6.25368911918919[/C][C]0.0556922190833572[/C][/ROW]
[ROW][C]0.32[/C][C]6.26603810801998[/C][C]0.0558491376909542[/C][/ROW]
[ROW][C]0.33[/C][C]6.27835717415967[/C][C]0.0570294826468563[/C][/ROW]
[ROW][C]0.34[/C][C]6.2908332865648[/C][C]0.059018146380753[/C][/ROW]
[ROW][C]0.35[/C][C]6.30360780521206[/C][C]0.061474932110311[/C][/ROW]
[ROW][C]0.36[/C][C]6.31676283367241[/C][C]0.0640705603779953[/C][/ROW]
[ROW][C]0.37[/C][C]6.33031927518471[/C][C]0.0664830675387903[/C][/ROW]
[ROW][C]0.38[/C][C]6.3442454300527[/C][C]0.0684902460076013[/C][/ROW]
[ROW][C]0.39[/C][C]6.35847303499426[/C][C]0.0699894065949337[/C][/ROW]
[ROW][C]0.4[/C][C]6.37291653147013[/C][C]0.0709592637232182[/C][/ROW]
[ROW][C]0.41[/C][C]6.38749125674212[/C][C]0.0715011992147757[/C][/ROW]
[ROW][C]0.42[/C][C]6.40212711527654[/C][C]0.0717419850655491[/C][/ROW]
[ROW][C]0.43[/C][C]6.41677581072321[/C][C]0.0718083222957382[/C][/ROW]
[ROW][C]0.44[/C][C]6.43141145981492[/C][C]0.0718372125997334[/C][/ROW]
[ROW][C]0.45[/C][C]6.44602591734363[/C][C]0.0718934908654618[/C][/ROW]
[ROW][C]0.46[/C][C]6.46062107724657[/C][C]0.071971842867251[/C][/ROW]
[ROW][C]0.47[/C][C]6.47520063469968[/C][C]0.0720746782681724[/C][/ROW]
[ROW][C]0.48[/C][C]6.48976336526679[/C][C]0.0721169856475836[/C][/ROW]
[ROW][C]0.49[/C][C]6.50429913117118[/C][C]0.0720464239919789[/C][/ROW]
[ROW][C]0.5[/C][C]6.51878786696549[/C][C]0.0718126009647008[/C][/ROW]
[ROW][C]0.51[/C][C]6.53320100511007[/C][C]0.0713532832669494[/C][/ROW]
[ROW][C]0.52[/C][C]6.5475043484784[/C][C]0.0706900182924829[/C][/ROW]
[ROW][C]0.53[/C][C]6.56166131670323[/C][C]0.0698057501801556[/C][/ROW]
[ROW][C]0.54[/C][C]6.57563570452576[/C][C]0.0687205738798948[/C][/ROW]
[ROW][C]0.55[/C][C]6.58939345059128[/C][C]0.0674526157703889[/C][/ROW]
[ROW][C]0.56[/C][C]6.60290328798681[/C][C]0.0660139126627413[/C][/ROW]
[ROW][C]0.57[/C][C]6.61613644972504[/C][C]0.0644317703137143[/C][/ROW]
[ROW][C]0.58[/C][C]6.62906581405597[/C][C]0.0627075249605441[/C][/ROW]
[ROW][C]0.59[/C][C]6.64166501778944[/C][C]0.0608469482366051[/C][/ROW]
[ROW][C]0.6[/C][C]6.65390816380459[/C][C]0.0588430464854494[/C][/ROW]
[ROW][C]0.61[/C][C]6.66577079300532[/C][C]0.0567153823155263[/C][/ROW]
[ROW][C]0.62[/C][C]6.67723273338649[/C][C]0.0544755366955974[/C][/ROW]
[ROW][C]0.63[/C][C]6.68828321481299[/C][C]0.052156559851928[/C][/ROW]
[ROW][C]0.64[/C][C]6.69892820657068[/C][C]0.0498521576367802[/C][/ROW]
[ROW][C]0.65[/C][C]6.70919931772867[/C][C]0.0476865935477157[/C][/ROW]
[ROW][C]0.66[/C][C]6.71916290075621[/C][C]0.0458439469176302[/C][/ROW]
[ROW][C]0.67[/C][C]6.72892738657134[/C][C]0.0445447286993289[/C][/ROW]
[ROW][C]0.68[/C][C]6.73864654872602[/C][C]0.0440227027586477[/C][/ROW]
[ROW][C]0.69[/C][C]6.7485165089484[/C][C]0.0444959851234915[/C][/ROW]
[ROW][C]0.7[/C][C]6.75876493874902[/C][C]0.046108106176324[/C][/ROW]
[ROW][C]0.71[/C][C]6.76963205927618[/C][C]0.048855642782439[/C][/ROW]
[ROW][C]0.72[/C][C]6.78134456760556[/C][C]0.0525905326741399[/C][/ROW]
[ROW][C]0.73[/C][C]6.79408531457547[/C][C]0.057008130314011[/C][/ROW]
[ROW][C]0.74[/C][C]6.80796316398824[/C][C]0.0616748461983508[/C][/ROW]
[ROW][C]0.75[/C][C]6.82298867104997[/C][C]0.0660802147401888[/C][/ROW]
[ROW][C]0.76[/C][C]6.8390616858672[/C][C]0.0697107575142257[/C][/ROW]
[ROW][C]0.77[/C][C]6.85597634349722[/C][C]0.0721010609095192[/C][/ROW]
[ROW][C]0.78[/C][C]6.87344680018327[/C][C]0.0729667941062976[/C][/ROW]
[ROW][C]0.79[/C][C]6.89115333679466[/C][C]0.0722305828830069[/C][/ROW]
[ROW][C]0.8[/C][C]6.90880329502427[/C][C]0.070097882954373[/C][/ROW]
[ROW][C]0.81[/C][C]6.92619562980967[/C][C]0.0670573916768099[/C][/ROW]
[ROW][C]0.82[/C][C]6.94327337070438[/C][C]0.0638194658971445[/C][/ROW]
[ROW][C]0.83[/C][C]6.96014733937407[/C][C]0.0611706639631641[/C][/ROW]
[ROW][C]0.84[/C][C]6.97707930913569[/C][C]0.0597602699093927[/C][/ROW]
[ROW][C]0.85[/C][C]6.99442425653818[/C][C]0.0598750762311081[/C][/ROW]
[ROW][C]0.86[/C][C]7.0125475091559[/C][C]0.0612830691241846[/C][/ROW]
[ROW][C]0.87[/C][C]7.03174799030006[/C][C]0.0633764819089946[/C][/ROW]
[ROW][C]0.88[/C][C]7.05222493976206[/C][C]0.0654561411901909[/C][/ROW]
[ROW][C]0.89[/C][C]7.07411301632564[/C][C]0.0671156756752716[/C][/ROW]
[ROW][C]0.9[/C][C]7.09757372785993[/C][C]0.0684612168190545[/C][/ROW]
[ROW][C]0.91[/C][C]7.12287716639166[/C][C]0.0700749801025201[/C][/ROW]
[ROW][C]0.92[/C][C]7.15037355642643[/C][C]0.0724667550806342[/C][/ROW]
[ROW][C]0.93[/C][C]7.1803184329608[/C][C]0.0751118487735143[/C][/ROW]
[ROW][C]0.94[/C][C]7.21280189643846[/C][C]0.0761205819553348[/C][/ROW]
[ROW][C]0.95[/C][C]7.24869282643276[/C][C]0.0739680796036932[/C][/ROW]
[ROW][C]0.96[/C][C]7.29345414449527[/C][C]0.0730647734289633[/C][/ROW]
[ROW][C]0.97[/C][C]7.36484462508034[/C][C]0.0976549565177304[/C][/ROW]
[ROW][C]0.98[/C][C]7.49512277494872[/C][C]0.191916631657442[/C][/ROW]
[ROW][C]0.99[/C][C]7.69475466915498[/C][C]0.365073461001642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120084&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
0.015.704662605978220.071772969711758
0.025.75037683373940.0543163016543352
0.035.788975921340660.0466715864567178
0.045.81886870989910.0452219410170779
0.055.843352749857890.0446684122453642
0.065.86473038864870.0439780017469522
0.075.884228480530510.0446630513684542
0.085.902755450812790.0475642279104117
0.095.921023960749170.051586398555766
0.15.93936278056430.0548593824112928
0.115.957651393704260.0560948788716165
0.125.975480117008620.0550882530829786
0.135.992413729587890.0525389184551961
0.146.008205199988810.0496140777427136
0.156.022881944505610.047458649478547
0.166.036711661587720.0468406950362796
0.176.050099562088610.0480019982185848
0.186.063472069910820.0507062528684129
0.196.077183186386490.0544315472322135
0.26.091457804153110.0585485256161845
0.216.10637129044330.0624502875934992
0.226.121858017768550.0656036410415765
0.236.137740263412080.0676395543139177
0.246.153769634342230.0683800648640185
0.256.169673943511990.0678029965594646
0.266.185202877778790.0661307454151822
0.276.200166312269510.0637144493321144
0.286.214460267291160.0610155233856015
0.296.228077444374050.0585009548781593
0.36.241101787070310.056627443457578
0.316.253689119189190.0556922190833572
0.326.266038108019980.0558491376909542
0.336.278357174159670.0570294826468563
0.346.29083328656480.059018146380753
0.356.303607805212060.061474932110311
0.366.316762833672410.0640705603779953
0.376.330319275184710.0664830675387903
0.386.34424543005270.0684902460076013
0.396.358473034994260.0699894065949337
0.46.372916531470130.0709592637232182
0.416.387491256742120.0715011992147757
0.426.402127115276540.0717419850655491
0.436.416775810723210.0718083222957382
0.446.431411459814920.0718372125997334
0.456.446025917343630.0718934908654618
0.466.460621077246570.071971842867251
0.476.475200634699680.0720746782681724
0.486.489763365266790.0721169856475836
0.496.504299131171180.0720464239919789
0.56.518787866965490.0718126009647008
0.516.533201005110070.0713532832669494
0.526.54750434847840.0706900182924829
0.536.561661316703230.0698057501801556
0.546.575635704525760.0687205738798948
0.556.589393450591280.0674526157703889
0.566.602903287986810.0660139126627413
0.576.616136449725040.0644317703137143
0.586.629065814055970.0627075249605441
0.596.641665017789440.0608469482366051
0.66.653908163804590.0588430464854494
0.616.665770793005320.0567153823155263
0.626.677232733386490.0544755366955974
0.636.688283214812990.052156559851928
0.646.698928206570680.0498521576367802
0.656.709199317728670.0476865935477157
0.666.719162900756210.0458439469176302
0.676.728927386571340.0445447286993289
0.686.738646548726020.0440227027586477
0.696.74851650894840.0444959851234915
0.76.758764938749020.046108106176324
0.716.769632059276180.048855642782439
0.726.781344567605560.0525905326741399
0.736.794085314575470.057008130314011
0.746.807963163988240.0616748461983508
0.756.822988671049970.0660802147401888
0.766.83906168586720.0697107575142257
0.776.855976343497220.0721010609095192
0.786.873446800183270.0729667941062976
0.796.891153336794660.0722305828830069
0.86.908803295024270.070097882954373
0.816.926195629809670.0670573916768099
0.826.943273370704380.0638194658971445
0.836.960147339374070.0611706639631641
0.846.977079309135690.0597602699093927
0.856.994424256538180.0598750762311081
0.867.01254750915590.0612830691241846
0.877.031747990300060.0633764819089946
0.887.052224939762060.0654561411901909
0.897.074113016325640.0671156756752716
0.97.097573727859930.0684612168190545
0.917.122877166391660.0700749801025201
0.927.150373556426430.0724667550806342
0.937.18031843296080.0751118487735143
0.947.212801896438460.0761205819553348
0.957.248692826432760.0739680796036932
0.967.293454144495270.0730647734289633
0.977.364844625080340.0976549565177304
0.987.495122774948720.191916631657442
0.997.694754669154980.365073461001642


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')