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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 17:46:02 -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/t1329950828ocug83c0k9dg4y6.htm/, Retrieved Mon, 06 May 2024 14:55:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163261, Retrieved Mon, 06 May 2024 14:55:03 +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)
-     [Univariate Data Series] [maandelijkse verk...] [2012-02-22 17:09:17] [709b7720e5f7ef30901a7a8e706288f1]
- RMP     [Harrell-Davis Quantiles] [Deodorant opdracht 4] [2012-02-22 22:46:02] [09b6c15525a7e41be57b956512900af9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,71
2,69
2,67
2,66
2,67
2,67
2,66
2,72
2,63
2,63
2,65
2,66
2,65
2,62
2,61
2,61
2,62
2,61
2,62
2,65
2,64
2,66
2,67
2,68
2,68
2,71
2,72
2,72
2,71
2,7
2,7
2,7
2,68
2,67
2,66
2,64
2,64
2,63
2,61
2,62
2,61
2,6
2,58
2,55
2,53
2,5
2,48
2,47
2,47
2,46
2,46
2,45
2,44
2,42
2,39
2,37
2,34
2,32
2,3
2,29
2,3
2,29
2,29
2,29
2,29
2,28
2,28
2,28
2,29

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=163261&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=163261&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163261&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
0.012.280236255807540.000817388309444909
0.022.28092390061030.00227864791751141
0.032.282138266025960.00369391115803215
0.042.283746181042740.00444692579260162
0.052.285502088584580.00443655575614954
0.062.287200154260730.00404745570968743
0.072.28877676480790.00392832910738654
0.082.290328268851270.00470560115322927
0.092.292069287588520.00663871446883569
0.12.294272410427210.00968282607446574
0.112.297215565504480.0137565311025315
0.122.301144482790670.0187287386167287
0.132.306247495620820.0243780914028334
0.142.312638488636070.0304037388728029
0.152.320346232937580.0364428586445335
0.162.329310702028010.0421002118268698
0.172.339387694498590.0470102285750013
0.182.350362328419220.0508663611287105
0.192.36197046839680.0534745830281493
0.22.373925641193980.0547663212082018
0.212.385947981219780.0548125499978882
0.222.397791430751010.0538017426405297
0.232.409265779891340.0520333526907532
0.242.420251003898940.0498642163689078
0.252.430702520066210.0476791574413811
0.262.440647229851130.0458438142763032
0.272.450171362346450.0446513302834563
0.282.459402068868250.0442826770538719
0.292.468485354841490.0447805849800275
0.32.477563229212020.0460343689651989
0.312.486752890480450.0478110509820241
0.322.49613037224770.049802451585323
0.332.505720394643070.051679304130858
0.342.515493299345650.0531283914076968
0.352.525368999836580.0538878928983256
0.362.535226983049060.0537809444605385
0.372.544920676708940.0527138099875347
0.382.55429404623230.0506945111419028
0.392.563198161220850.0478211030308301
0.42.571505676210590.0442563473598052
0.412.579121651315340.0402165288654444
0.422.585989800004660.0359368481076218
0.432.592093973132120.0316506093964418
0.442.597455349370270.0275593990473064
0.452.602126303545130.0238314861317155
0.462.606182206409850.0205827057376056
0.472.609712459297420.0178807800138957
0.482.612811915509820.0157387601109224
0.492.615573549239830.0141326270222201
0.52.618082878294030.0130028028179648
0.512.620414301172160.0122688508647035
0.522.622629226903160.0118452104806039
0.532.624775687434310.0116440406119402
0.542.626889032496860.0115908377194378
0.552.628993301655680.0116262153784689
0.562.631102922813540.0117000094393591
0.572.633224473485320.0117740215201929
0.582.635358337068430.0118254520487111
0.592.637500174077030.0118327131428887
0.62.639642197488490.0117800710087745
0.612.6417742867120.0116613551263689
0.622.643884994472360.0114706125244783
0.632.645962496136240.0112104760859965
0.642.647995505910390.0108829712598796
0.652.649974147137530.0104998578102731
0.662.651890726869430.0100739736307997
0.672.653740342408320.00962292756335192
0.682.655521251991940.00916785163315464
0.692.657234978299360.00872765902436232
0.72.658886175248150.00831801045120631
0.712.660482356364140.00795538320527973
0.722.662033629638020.00764814523312105
0.732.663552583668160.00740197663068525
0.742.665054410277650.00722705496082193
0.752.666557237568610.00713030547258468
0.762.668082513096120.00712793346058595
0.772.669655160182570.00723653814842342
0.782.671303170988990.00747213010603721
0.792.673056325618570.00783681621213917
0.82.674943849796940.0083238835477806
0.812.676991043773790.00890606858655376
0.822.679215216106410.00953495104396028
0.832.681621593157510.010142729143501
0.842.684200155506310.0106562997254284
0.852.68692443728810.0109982127143456
0.862.689753086687330.0111056618956367
0.872.692634419860250.0109458228774804
0.882.695513503478490.0105257048284504
0.892.698340782166210.0098904153645862
0.92.701081015648020.00911383441919514
0.912.70372082015550.0082864767358025
0.922.706271571497930.00750868957788131
0.932.708761947538710.00687478844843108
0.942.71121395616880.0064169662835523
0.952.713603596306680.006000911603468
0.962.715825059570580.00531414442202311
0.972.717695345766480.00408481420061306
0.982.719028489526830.00240976354939398
0.992.719755840922390.00084274421065582

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.28023625580754 & 0.000817388309444909 \tabularnewline
0.02 & 2.2809239006103 & 0.00227864791751141 \tabularnewline
0.03 & 2.28213826602596 & 0.00369391115803215 \tabularnewline
0.04 & 2.28374618104274 & 0.00444692579260162 \tabularnewline
0.05 & 2.28550208858458 & 0.00443655575614954 \tabularnewline
0.06 & 2.28720015426073 & 0.00404745570968743 \tabularnewline
0.07 & 2.2887767648079 & 0.00392832910738654 \tabularnewline
0.08 & 2.29032826885127 & 0.00470560115322927 \tabularnewline
0.09 & 2.29206928758852 & 0.00663871446883569 \tabularnewline
0.1 & 2.29427241042721 & 0.00968282607446574 \tabularnewline
0.11 & 2.29721556550448 & 0.0137565311025315 \tabularnewline
0.12 & 2.30114448279067 & 0.0187287386167287 \tabularnewline
0.13 & 2.30624749562082 & 0.0243780914028334 \tabularnewline
0.14 & 2.31263848863607 & 0.0304037388728029 \tabularnewline
0.15 & 2.32034623293758 & 0.0364428586445335 \tabularnewline
0.16 & 2.32931070202801 & 0.0421002118268698 \tabularnewline
0.17 & 2.33938769449859 & 0.0470102285750013 \tabularnewline
0.18 & 2.35036232841922 & 0.0508663611287105 \tabularnewline
0.19 & 2.3619704683968 & 0.0534745830281493 \tabularnewline
0.2 & 2.37392564119398 & 0.0547663212082018 \tabularnewline
0.21 & 2.38594798121978 & 0.0548125499978882 \tabularnewline
0.22 & 2.39779143075101 & 0.0538017426405297 \tabularnewline
0.23 & 2.40926577989134 & 0.0520333526907532 \tabularnewline
0.24 & 2.42025100389894 & 0.0498642163689078 \tabularnewline
0.25 & 2.43070252006621 & 0.0476791574413811 \tabularnewline
0.26 & 2.44064722985113 & 0.0458438142763032 \tabularnewline
0.27 & 2.45017136234645 & 0.0446513302834563 \tabularnewline
0.28 & 2.45940206886825 & 0.0442826770538719 \tabularnewline
0.29 & 2.46848535484149 & 0.0447805849800275 \tabularnewline
0.3 & 2.47756322921202 & 0.0460343689651989 \tabularnewline
0.31 & 2.48675289048045 & 0.0478110509820241 \tabularnewline
0.32 & 2.4961303722477 & 0.049802451585323 \tabularnewline
0.33 & 2.50572039464307 & 0.051679304130858 \tabularnewline
0.34 & 2.51549329934565 & 0.0531283914076968 \tabularnewline
0.35 & 2.52536899983658 & 0.0538878928983256 \tabularnewline
0.36 & 2.53522698304906 & 0.0537809444605385 \tabularnewline
0.37 & 2.54492067670894 & 0.0527138099875347 \tabularnewline
0.38 & 2.5542940462323 & 0.0506945111419028 \tabularnewline
0.39 & 2.56319816122085 & 0.0478211030308301 \tabularnewline
0.4 & 2.57150567621059 & 0.0442563473598052 \tabularnewline
0.41 & 2.57912165131534 & 0.0402165288654444 \tabularnewline
0.42 & 2.58598980000466 & 0.0359368481076218 \tabularnewline
0.43 & 2.59209397313212 & 0.0316506093964418 \tabularnewline
0.44 & 2.59745534937027 & 0.0275593990473064 \tabularnewline
0.45 & 2.60212630354513 & 0.0238314861317155 \tabularnewline
0.46 & 2.60618220640985 & 0.0205827057376056 \tabularnewline
0.47 & 2.60971245929742 & 0.0178807800138957 \tabularnewline
0.48 & 2.61281191550982 & 0.0157387601109224 \tabularnewline
0.49 & 2.61557354923983 & 0.0141326270222201 \tabularnewline
0.5 & 2.61808287829403 & 0.0130028028179648 \tabularnewline
0.51 & 2.62041430117216 & 0.0122688508647035 \tabularnewline
0.52 & 2.62262922690316 & 0.0118452104806039 \tabularnewline
0.53 & 2.62477568743431 & 0.0116440406119402 \tabularnewline
0.54 & 2.62688903249686 & 0.0115908377194378 \tabularnewline
0.55 & 2.62899330165568 & 0.0116262153784689 \tabularnewline
0.56 & 2.63110292281354 & 0.0117000094393591 \tabularnewline
0.57 & 2.63322447348532 & 0.0117740215201929 \tabularnewline
0.58 & 2.63535833706843 & 0.0118254520487111 \tabularnewline
0.59 & 2.63750017407703 & 0.0118327131428887 \tabularnewline
0.6 & 2.63964219748849 & 0.0117800710087745 \tabularnewline
0.61 & 2.641774286712 & 0.0116613551263689 \tabularnewline
0.62 & 2.64388499447236 & 0.0114706125244783 \tabularnewline
0.63 & 2.64596249613624 & 0.0112104760859965 \tabularnewline
0.64 & 2.64799550591039 & 0.0108829712598796 \tabularnewline
0.65 & 2.64997414713753 & 0.0104998578102731 \tabularnewline
0.66 & 2.65189072686943 & 0.0100739736307997 \tabularnewline
0.67 & 2.65374034240832 & 0.00962292756335192 \tabularnewline
0.68 & 2.65552125199194 & 0.00916785163315464 \tabularnewline
0.69 & 2.65723497829936 & 0.00872765902436232 \tabularnewline
0.7 & 2.65888617524815 & 0.00831801045120631 \tabularnewline
0.71 & 2.66048235636414 & 0.00795538320527973 \tabularnewline
0.72 & 2.66203362963802 & 0.00764814523312105 \tabularnewline
0.73 & 2.66355258366816 & 0.00740197663068525 \tabularnewline
0.74 & 2.66505441027765 & 0.00722705496082193 \tabularnewline
0.75 & 2.66655723756861 & 0.00713030547258468 \tabularnewline
0.76 & 2.66808251309612 & 0.00712793346058595 \tabularnewline
0.77 & 2.66965516018257 & 0.00723653814842342 \tabularnewline
0.78 & 2.67130317098899 & 0.00747213010603721 \tabularnewline
0.79 & 2.67305632561857 & 0.00783681621213917 \tabularnewline
0.8 & 2.67494384979694 & 0.0083238835477806 \tabularnewline
0.81 & 2.67699104377379 & 0.00890606858655376 \tabularnewline
0.82 & 2.67921521610641 & 0.00953495104396028 \tabularnewline
0.83 & 2.68162159315751 & 0.010142729143501 \tabularnewline
0.84 & 2.68420015550631 & 0.0106562997254284 \tabularnewline
0.85 & 2.6869244372881 & 0.0109982127143456 \tabularnewline
0.86 & 2.68975308668733 & 0.0111056618956367 \tabularnewline
0.87 & 2.69263441986025 & 0.0109458228774804 \tabularnewline
0.88 & 2.69551350347849 & 0.0105257048284504 \tabularnewline
0.89 & 2.69834078216621 & 0.0098904153645862 \tabularnewline
0.9 & 2.70108101564802 & 0.00911383441919514 \tabularnewline
0.91 & 2.7037208201555 & 0.0082864767358025 \tabularnewline
0.92 & 2.70627157149793 & 0.00750868957788131 \tabularnewline
0.93 & 2.70876194753871 & 0.00687478844843108 \tabularnewline
0.94 & 2.7112139561688 & 0.0064169662835523 \tabularnewline
0.95 & 2.71360359630668 & 0.006000911603468 \tabularnewline
0.96 & 2.71582505957058 & 0.00531414442202311 \tabularnewline
0.97 & 2.71769534576648 & 0.00408481420061306 \tabularnewline
0.98 & 2.71902848952683 & 0.00240976354939398 \tabularnewline
0.99 & 2.71975584092239 & 0.00084274421065582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163261&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]2.28023625580754[/C][C]0.000817388309444909[/C][/ROW]
[ROW][C]0.02[/C][C]2.2809239006103[/C][C]0.00227864791751141[/C][/ROW]
[ROW][C]0.03[/C][C]2.28213826602596[/C][C]0.00369391115803215[/C][/ROW]
[ROW][C]0.04[/C][C]2.28374618104274[/C][C]0.00444692579260162[/C][/ROW]
[ROW][C]0.05[/C][C]2.28550208858458[/C][C]0.00443655575614954[/C][/ROW]
[ROW][C]0.06[/C][C]2.28720015426073[/C][C]0.00404745570968743[/C][/ROW]
[ROW][C]0.07[/C][C]2.2887767648079[/C][C]0.00392832910738654[/C][/ROW]
[ROW][C]0.08[/C][C]2.29032826885127[/C][C]0.00470560115322927[/C][/ROW]
[ROW][C]0.09[/C][C]2.29206928758852[/C][C]0.00663871446883569[/C][/ROW]
[ROW][C]0.1[/C][C]2.29427241042721[/C][C]0.00968282607446574[/C][/ROW]
[ROW][C]0.11[/C][C]2.29721556550448[/C][C]0.0137565311025315[/C][/ROW]
[ROW][C]0.12[/C][C]2.30114448279067[/C][C]0.0187287386167287[/C][/ROW]
[ROW][C]0.13[/C][C]2.30624749562082[/C][C]0.0243780914028334[/C][/ROW]
[ROW][C]0.14[/C][C]2.31263848863607[/C][C]0.0304037388728029[/C][/ROW]
[ROW][C]0.15[/C][C]2.32034623293758[/C][C]0.0364428586445335[/C][/ROW]
[ROW][C]0.16[/C][C]2.32931070202801[/C][C]0.0421002118268698[/C][/ROW]
[ROW][C]0.17[/C][C]2.33938769449859[/C][C]0.0470102285750013[/C][/ROW]
[ROW][C]0.18[/C][C]2.35036232841922[/C][C]0.0508663611287105[/C][/ROW]
[ROW][C]0.19[/C][C]2.3619704683968[/C][C]0.0534745830281493[/C][/ROW]
[ROW][C]0.2[/C][C]2.37392564119398[/C][C]0.0547663212082018[/C][/ROW]
[ROW][C]0.21[/C][C]2.38594798121978[/C][C]0.0548125499978882[/C][/ROW]
[ROW][C]0.22[/C][C]2.39779143075101[/C][C]0.0538017426405297[/C][/ROW]
[ROW][C]0.23[/C][C]2.40926577989134[/C][C]0.0520333526907532[/C][/ROW]
[ROW][C]0.24[/C][C]2.42025100389894[/C][C]0.0498642163689078[/C][/ROW]
[ROW][C]0.25[/C][C]2.43070252006621[/C][C]0.0476791574413811[/C][/ROW]
[ROW][C]0.26[/C][C]2.44064722985113[/C][C]0.0458438142763032[/C][/ROW]
[ROW][C]0.27[/C][C]2.45017136234645[/C][C]0.0446513302834563[/C][/ROW]
[ROW][C]0.28[/C][C]2.45940206886825[/C][C]0.0442826770538719[/C][/ROW]
[ROW][C]0.29[/C][C]2.46848535484149[/C][C]0.0447805849800275[/C][/ROW]
[ROW][C]0.3[/C][C]2.47756322921202[/C][C]0.0460343689651989[/C][/ROW]
[ROW][C]0.31[/C][C]2.48675289048045[/C][C]0.0478110509820241[/C][/ROW]
[ROW][C]0.32[/C][C]2.4961303722477[/C][C]0.049802451585323[/C][/ROW]
[ROW][C]0.33[/C][C]2.50572039464307[/C][C]0.051679304130858[/C][/ROW]
[ROW][C]0.34[/C][C]2.51549329934565[/C][C]0.0531283914076968[/C][/ROW]
[ROW][C]0.35[/C][C]2.52536899983658[/C][C]0.0538878928983256[/C][/ROW]
[ROW][C]0.36[/C][C]2.53522698304906[/C][C]0.0537809444605385[/C][/ROW]
[ROW][C]0.37[/C][C]2.54492067670894[/C][C]0.0527138099875347[/C][/ROW]
[ROW][C]0.38[/C][C]2.5542940462323[/C][C]0.0506945111419028[/C][/ROW]
[ROW][C]0.39[/C][C]2.56319816122085[/C][C]0.0478211030308301[/C][/ROW]
[ROW][C]0.4[/C][C]2.57150567621059[/C][C]0.0442563473598052[/C][/ROW]
[ROW][C]0.41[/C][C]2.57912165131534[/C][C]0.0402165288654444[/C][/ROW]
[ROW][C]0.42[/C][C]2.58598980000466[/C][C]0.0359368481076218[/C][/ROW]
[ROW][C]0.43[/C][C]2.59209397313212[/C][C]0.0316506093964418[/C][/ROW]
[ROW][C]0.44[/C][C]2.59745534937027[/C][C]0.0275593990473064[/C][/ROW]
[ROW][C]0.45[/C][C]2.60212630354513[/C][C]0.0238314861317155[/C][/ROW]
[ROW][C]0.46[/C][C]2.60618220640985[/C][C]0.0205827057376056[/C][/ROW]
[ROW][C]0.47[/C][C]2.60971245929742[/C][C]0.0178807800138957[/C][/ROW]
[ROW][C]0.48[/C][C]2.61281191550982[/C][C]0.0157387601109224[/C][/ROW]
[ROW][C]0.49[/C][C]2.61557354923983[/C][C]0.0141326270222201[/C][/ROW]
[ROW][C]0.5[/C][C]2.61808287829403[/C][C]0.0130028028179648[/C][/ROW]
[ROW][C]0.51[/C][C]2.62041430117216[/C][C]0.0122688508647035[/C][/ROW]
[ROW][C]0.52[/C][C]2.62262922690316[/C][C]0.0118452104806039[/C][/ROW]
[ROW][C]0.53[/C][C]2.62477568743431[/C][C]0.0116440406119402[/C][/ROW]
[ROW][C]0.54[/C][C]2.62688903249686[/C][C]0.0115908377194378[/C][/ROW]
[ROW][C]0.55[/C][C]2.62899330165568[/C][C]0.0116262153784689[/C][/ROW]
[ROW][C]0.56[/C][C]2.63110292281354[/C][C]0.0117000094393591[/C][/ROW]
[ROW][C]0.57[/C][C]2.63322447348532[/C][C]0.0117740215201929[/C][/ROW]
[ROW][C]0.58[/C][C]2.63535833706843[/C][C]0.0118254520487111[/C][/ROW]
[ROW][C]0.59[/C][C]2.63750017407703[/C][C]0.0118327131428887[/C][/ROW]
[ROW][C]0.6[/C][C]2.63964219748849[/C][C]0.0117800710087745[/C][/ROW]
[ROW][C]0.61[/C][C]2.641774286712[/C][C]0.0116613551263689[/C][/ROW]
[ROW][C]0.62[/C][C]2.64388499447236[/C][C]0.0114706125244783[/C][/ROW]
[ROW][C]0.63[/C][C]2.64596249613624[/C][C]0.0112104760859965[/C][/ROW]
[ROW][C]0.64[/C][C]2.64799550591039[/C][C]0.0108829712598796[/C][/ROW]
[ROW][C]0.65[/C][C]2.64997414713753[/C][C]0.0104998578102731[/C][/ROW]
[ROW][C]0.66[/C][C]2.65189072686943[/C][C]0.0100739736307997[/C][/ROW]
[ROW][C]0.67[/C][C]2.65374034240832[/C][C]0.00962292756335192[/C][/ROW]
[ROW][C]0.68[/C][C]2.65552125199194[/C][C]0.00916785163315464[/C][/ROW]
[ROW][C]0.69[/C][C]2.65723497829936[/C][C]0.00872765902436232[/C][/ROW]
[ROW][C]0.7[/C][C]2.65888617524815[/C][C]0.00831801045120631[/C][/ROW]
[ROW][C]0.71[/C][C]2.66048235636414[/C][C]0.00795538320527973[/C][/ROW]
[ROW][C]0.72[/C][C]2.66203362963802[/C][C]0.00764814523312105[/C][/ROW]
[ROW][C]0.73[/C][C]2.66355258366816[/C][C]0.00740197663068525[/C][/ROW]
[ROW][C]0.74[/C][C]2.66505441027765[/C][C]0.00722705496082193[/C][/ROW]
[ROW][C]0.75[/C][C]2.66655723756861[/C][C]0.00713030547258468[/C][/ROW]
[ROW][C]0.76[/C][C]2.66808251309612[/C][C]0.00712793346058595[/C][/ROW]
[ROW][C]0.77[/C][C]2.66965516018257[/C][C]0.00723653814842342[/C][/ROW]
[ROW][C]0.78[/C][C]2.67130317098899[/C][C]0.00747213010603721[/C][/ROW]
[ROW][C]0.79[/C][C]2.67305632561857[/C][C]0.00783681621213917[/C][/ROW]
[ROW][C]0.8[/C][C]2.67494384979694[/C][C]0.0083238835477806[/C][/ROW]
[ROW][C]0.81[/C][C]2.67699104377379[/C][C]0.00890606858655376[/C][/ROW]
[ROW][C]0.82[/C][C]2.67921521610641[/C][C]0.00953495104396028[/C][/ROW]
[ROW][C]0.83[/C][C]2.68162159315751[/C][C]0.010142729143501[/C][/ROW]
[ROW][C]0.84[/C][C]2.68420015550631[/C][C]0.0106562997254284[/C][/ROW]
[ROW][C]0.85[/C][C]2.6869244372881[/C][C]0.0109982127143456[/C][/ROW]
[ROW][C]0.86[/C][C]2.68975308668733[/C][C]0.0111056618956367[/C][/ROW]
[ROW][C]0.87[/C][C]2.69263441986025[/C][C]0.0109458228774804[/C][/ROW]
[ROW][C]0.88[/C][C]2.69551350347849[/C][C]0.0105257048284504[/C][/ROW]
[ROW][C]0.89[/C][C]2.69834078216621[/C][C]0.0098904153645862[/C][/ROW]
[ROW][C]0.9[/C][C]2.70108101564802[/C][C]0.00911383441919514[/C][/ROW]
[ROW][C]0.91[/C][C]2.7037208201555[/C][C]0.0082864767358025[/C][/ROW]
[ROW][C]0.92[/C][C]2.70627157149793[/C][C]0.00750868957788131[/C][/ROW]
[ROW][C]0.93[/C][C]2.70876194753871[/C][C]0.00687478844843108[/C][/ROW]
[ROW][C]0.94[/C][C]2.7112139561688[/C][C]0.0064169662835523[/C][/ROW]
[ROW][C]0.95[/C][C]2.71360359630668[/C][C]0.006000911603468[/C][/ROW]
[ROW][C]0.96[/C][C]2.71582505957058[/C][C]0.00531414442202311[/C][/ROW]
[ROW][C]0.97[/C][C]2.71769534576648[/C][C]0.00408481420061306[/C][/ROW]
[ROW][C]0.98[/C][C]2.71902848952683[/C][C]0.00240976354939398[/C][/ROW]
[ROW][C]0.99[/C][C]2.71975584092239[/C][C]0.00084274421065582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163261&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163261&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
0.012.280236255807540.000817388309444909
0.022.28092390061030.00227864791751141
0.032.282138266025960.00369391115803215
0.042.283746181042740.00444692579260162
0.052.285502088584580.00443655575614954
0.062.287200154260730.00404745570968743
0.072.28877676480790.00392832910738654
0.082.290328268851270.00470560115322927
0.092.292069287588520.00663871446883569
0.12.294272410427210.00968282607446574
0.112.297215565504480.0137565311025315
0.122.301144482790670.0187287386167287
0.132.306247495620820.0243780914028334
0.142.312638488636070.0304037388728029
0.152.320346232937580.0364428586445335
0.162.329310702028010.0421002118268698
0.172.339387694498590.0470102285750013
0.182.350362328419220.0508663611287105
0.192.36197046839680.0534745830281493
0.22.373925641193980.0547663212082018
0.212.385947981219780.0548125499978882
0.222.397791430751010.0538017426405297
0.232.409265779891340.0520333526907532
0.242.420251003898940.0498642163689078
0.252.430702520066210.0476791574413811
0.262.440647229851130.0458438142763032
0.272.450171362346450.0446513302834563
0.282.459402068868250.0442826770538719
0.292.468485354841490.0447805849800275
0.32.477563229212020.0460343689651989
0.312.486752890480450.0478110509820241
0.322.49613037224770.049802451585323
0.332.505720394643070.051679304130858
0.342.515493299345650.0531283914076968
0.352.525368999836580.0538878928983256
0.362.535226983049060.0537809444605385
0.372.544920676708940.0527138099875347
0.382.55429404623230.0506945111419028
0.392.563198161220850.0478211030308301
0.42.571505676210590.0442563473598052
0.412.579121651315340.0402165288654444
0.422.585989800004660.0359368481076218
0.432.592093973132120.0316506093964418
0.442.597455349370270.0275593990473064
0.452.602126303545130.0238314861317155
0.462.606182206409850.0205827057376056
0.472.609712459297420.0178807800138957
0.482.612811915509820.0157387601109224
0.492.615573549239830.0141326270222201
0.52.618082878294030.0130028028179648
0.512.620414301172160.0122688508647035
0.522.622629226903160.0118452104806039
0.532.624775687434310.0116440406119402
0.542.626889032496860.0115908377194378
0.552.628993301655680.0116262153784689
0.562.631102922813540.0117000094393591
0.572.633224473485320.0117740215201929
0.582.635358337068430.0118254520487111
0.592.637500174077030.0118327131428887
0.62.639642197488490.0117800710087745
0.612.6417742867120.0116613551263689
0.622.643884994472360.0114706125244783
0.632.645962496136240.0112104760859965
0.642.647995505910390.0108829712598796
0.652.649974147137530.0104998578102731
0.662.651890726869430.0100739736307997
0.672.653740342408320.00962292756335192
0.682.655521251991940.00916785163315464
0.692.657234978299360.00872765902436232
0.72.658886175248150.00831801045120631
0.712.660482356364140.00795538320527973
0.722.662033629638020.00764814523312105
0.732.663552583668160.00740197663068525
0.742.665054410277650.00722705496082193
0.752.666557237568610.00713030547258468
0.762.668082513096120.00712793346058595
0.772.669655160182570.00723653814842342
0.782.671303170988990.00747213010603721
0.792.673056325618570.00783681621213917
0.82.674943849796940.0083238835477806
0.812.676991043773790.00890606858655376
0.822.679215216106410.00953495104396028
0.832.681621593157510.010142729143501
0.842.684200155506310.0106562997254284
0.852.68692443728810.0109982127143456
0.862.689753086687330.0111056618956367
0.872.692634419860250.0109458228774804
0.882.695513503478490.0105257048284504
0.892.698340782166210.0098904153645862
0.92.701081015648020.00911383441919514
0.912.70372082015550.0082864767358025
0.922.706271571497930.00750868957788131
0.932.708761947538710.00687478844843108
0.942.71121395616880.0064169662835523
0.952.713603596306680.006000911603468
0.962.715825059570580.00531414442202311
0.972.717695345766480.00408481420061306
0.982.719028489526830.00240976354939398
0.992.719755840922390.00084274421065582


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')