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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 computationSat, 27 Feb 2016 18:04:37 +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/2016/Feb/27/t145659639864f8149d1z0y4lw.htm/, Retrieved Sat, 27 Apr 2024 07:49:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292918, Retrieved Sat, 27 Apr 2024 07:49:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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] [] [2016-02-27 18:04:37] [e1772292a6a44abe5991636299c33e7e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.8
92.9
93.06
93.28
93.41
93.49
93.49
93.5
93.56
94.12
94.3
94.36
94.36
94.5
94.85
95.16
95.73
95.76
95.76
95.81
96.09
96.48
96.71
96.69
96.69
96.66
96.73
96.84
97.87
98
97.98
98.03
98.11
98.18
98.32
98.34
98.28
98.52
98.56
99.6
100.16
100.46
100.46
100.68
100.83
100.64
100.9
100.92
100.75
100.96
101.05
101.33
101.38
101.44
101.51
101.4
101.26
100.83
100.75
100.81
100.82
100.85
100.79
100.84
101.04
101.11
101.15
101.11
101.28
101.62
102.07
102.14

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292918&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292918&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292918&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.84443175537050.121745763036848
0.0292.92357810201490.164720035986069
0.0393.02137422872470.200195250231471
0.0493.12403200553410.214565498097584
0.0593.22276282131780.211840301900116
0.0693.31372240191040.204683342894678
0.0793.39745800484610.20692165200519
0.0893.47763560918820.227351556388948
0.0993.55921205623740.265650352915167
0.193.64668247019510.314886576979581
0.1193.74294476728980.366628068935857
0.1293.84898032239390.414488275839825
0.1393.964219348380.455372972548672
0.1494.08726094784280.489794759380021
0.1594.21658527444770.520355320610621
0.1694.3510014833630.549977911204669
0.1794.48974846438150.58011105851069
0.1894.63232335235950.610022071531227
0.1994.77819838646650.637323547276479
0.294.92658615356560.65912519228351
0.2195.07635089525270.673030298065584
0.2295.22608119449710.678067011520449
0.2395.37427437546450.674750105690624
0.2495.51955482213780.664474413281482
0.2595.66085657027260.649931944080243
0.2695.79753072262270.633205429894381
0.2795.9293722635440.616733661663225
0.2896.056584711010.602070480582887
0.2996.17970909308670.590477111652386
0.396.29953841620960.58309804285895
0.3196.41702736880260.580860593516415
0.3296.53319731037530.583961225225621
0.3396.64903363993020.592222701359568
0.3496.76537710828170.604783044350658
0.3596.88281944514330.619814056922625
0.3697.00162186135710.634750174398777
0.3797.12167805588840.647126633170195
0.3897.24253902004640.654775970660345
0.3997.36350579797380.656229364261793
0.497.48378147364150.651484916653259
0.4197.6026592321270.641461132313128
0.4297.71971332271970.628674277280645
0.4397.83495663396350.616504905767848
0.4497.94893292874310.609095606678856
0.4598.06272234284450.610071913026296
0.4698.17785311635890.622476963728499
0.4798.29612789914150.64759062022157
0.4898.41938678323240.684662683546339
0.4998.54923949663030.730937672085141
0.598.68680466290930.782364512884886
0.5198.83249405114380.833641028282609
0.5298.98587426898970.879082265316841
0.5399.145627973190.913778817773911
0.5499.30962266762920.933112796134932
0.5599.47507951013960.934255191946783
0.5699.63881975410010.915734820713935
0.5799.79755511484430.877920358775114
0.5899.94818261488130.822979817721507
0.59100.0880454387850.754155922594862
0.6100.2151287489130.675841917893223
0.61100.3281716287740.592509702632398
0.62100.4266906943080.508760785062822
0.63100.510924484010.42833874048639
0.64100.5817179602130.354296257563174
0.65100.6403717772250.288949188495972
0.66100.6884811143990.233123503261743
0.67100.7277847212270.187307141154722
0.68100.7600380495320.151345507781466
0.69100.7869168847180.124433829667133
0.7100.8099514221040.105654073921231
0.71100.83048636750.0940145915558011
0.72100.8496607552190.0883642611529921
0.73100.8684014932740.0871727505567163
0.74100.8874264168550.0891199595847456
0.75100.9072548863410.0931730882873012
0.76100.9282257556770.0981159903110951
0.77100.9505231478420.103331344694173
0.78100.9742096044730.108061135145711
0.79100.9992640572520.112154662088302
0.8101.025619488610.115455290182693
0.81101.0531933223840.118041077616414
0.82101.0819038055930.120004479533458
0.83101.1116687649870.121426763438404
0.84101.1423890381020.122347299867419
0.85101.1739262783420.122418346854623
0.86101.2060915327660.121445088689924
0.87101.2386648932280.119060319686034
0.88101.271466936530.115175929651208
0.89101.304501255410.110329530480404
0.9101.3381872356180.105650212972299
0.91101.3737022163790.103174334419427
0.92101.4134326610960.106055168688974
0.93101.4614371777060.118658099832926
0.94101.5235615644780.145625750360077
0.95101.6064131960630.188358743304701
0.96101.71415758070.23816515354848
0.97101.8429659263040.26950442939996
0.98101.9757708164830.245728140996757
0.99102.0836361924870.156024689463519

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.8444317553705 & 0.121745763036848 \tabularnewline
0.02 & 92.9235781020149 & 0.164720035986069 \tabularnewline
0.03 & 93.0213742287247 & 0.200195250231471 \tabularnewline
0.04 & 93.1240320055341 & 0.214565498097584 \tabularnewline
0.05 & 93.2227628213178 & 0.211840301900116 \tabularnewline
0.06 & 93.3137224019104 & 0.204683342894678 \tabularnewline
0.07 & 93.3974580048461 & 0.20692165200519 \tabularnewline
0.08 & 93.4776356091882 & 0.227351556388948 \tabularnewline
0.09 & 93.5592120562374 & 0.265650352915167 \tabularnewline
0.1 & 93.6466824701951 & 0.314886576979581 \tabularnewline
0.11 & 93.7429447672898 & 0.366628068935857 \tabularnewline
0.12 & 93.8489803223939 & 0.414488275839825 \tabularnewline
0.13 & 93.96421934838 & 0.455372972548672 \tabularnewline
0.14 & 94.0872609478428 & 0.489794759380021 \tabularnewline
0.15 & 94.2165852744477 & 0.520355320610621 \tabularnewline
0.16 & 94.351001483363 & 0.549977911204669 \tabularnewline
0.17 & 94.4897484643815 & 0.58011105851069 \tabularnewline
0.18 & 94.6323233523595 & 0.610022071531227 \tabularnewline
0.19 & 94.7781983864665 & 0.637323547276479 \tabularnewline
0.2 & 94.9265861535656 & 0.65912519228351 \tabularnewline
0.21 & 95.0763508952527 & 0.673030298065584 \tabularnewline
0.22 & 95.2260811944971 & 0.678067011520449 \tabularnewline
0.23 & 95.3742743754645 & 0.674750105690624 \tabularnewline
0.24 & 95.5195548221378 & 0.664474413281482 \tabularnewline
0.25 & 95.6608565702726 & 0.649931944080243 \tabularnewline
0.26 & 95.7975307226227 & 0.633205429894381 \tabularnewline
0.27 & 95.929372263544 & 0.616733661663225 \tabularnewline
0.28 & 96.05658471101 & 0.602070480582887 \tabularnewline
0.29 & 96.1797090930867 & 0.590477111652386 \tabularnewline
0.3 & 96.2995384162096 & 0.58309804285895 \tabularnewline
0.31 & 96.4170273688026 & 0.580860593516415 \tabularnewline
0.32 & 96.5331973103753 & 0.583961225225621 \tabularnewline
0.33 & 96.6490336399302 & 0.592222701359568 \tabularnewline
0.34 & 96.7653771082817 & 0.604783044350658 \tabularnewline
0.35 & 96.8828194451433 & 0.619814056922625 \tabularnewline
0.36 & 97.0016218613571 & 0.634750174398777 \tabularnewline
0.37 & 97.1216780558884 & 0.647126633170195 \tabularnewline
0.38 & 97.2425390200464 & 0.654775970660345 \tabularnewline
0.39 & 97.3635057979738 & 0.656229364261793 \tabularnewline
0.4 & 97.4837814736415 & 0.651484916653259 \tabularnewline
0.41 & 97.602659232127 & 0.641461132313128 \tabularnewline
0.42 & 97.7197133227197 & 0.628674277280645 \tabularnewline
0.43 & 97.8349566339635 & 0.616504905767848 \tabularnewline
0.44 & 97.9489329287431 & 0.609095606678856 \tabularnewline
0.45 & 98.0627223428445 & 0.610071913026296 \tabularnewline
0.46 & 98.1778531163589 & 0.622476963728499 \tabularnewline
0.47 & 98.2961278991415 & 0.64759062022157 \tabularnewline
0.48 & 98.4193867832324 & 0.684662683546339 \tabularnewline
0.49 & 98.5492394966303 & 0.730937672085141 \tabularnewline
0.5 & 98.6868046629093 & 0.782364512884886 \tabularnewline
0.51 & 98.8324940511438 & 0.833641028282609 \tabularnewline
0.52 & 98.9858742689897 & 0.879082265316841 \tabularnewline
0.53 & 99.14562797319 & 0.913778817773911 \tabularnewline
0.54 & 99.3096226676292 & 0.933112796134932 \tabularnewline
0.55 & 99.4750795101396 & 0.934255191946783 \tabularnewline
0.56 & 99.6388197541001 & 0.915734820713935 \tabularnewline
0.57 & 99.7975551148443 & 0.877920358775114 \tabularnewline
0.58 & 99.9481826148813 & 0.822979817721507 \tabularnewline
0.59 & 100.088045438785 & 0.754155922594862 \tabularnewline
0.6 & 100.215128748913 & 0.675841917893223 \tabularnewline
0.61 & 100.328171628774 & 0.592509702632398 \tabularnewline
0.62 & 100.426690694308 & 0.508760785062822 \tabularnewline
0.63 & 100.51092448401 & 0.42833874048639 \tabularnewline
0.64 & 100.581717960213 & 0.354296257563174 \tabularnewline
0.65 & 100.640371777225 & 0.288949188495972 \tabularnewline
0.66 & 100.688481114399 & 0.233123503261743 \tabularnewline
0.67 & 100.727784721227 & 0.187307141154722 \tabularnewline
0.68 & 100.760038049532 & 0.151345507781466 \tabularnewline
0.69 & 100.786916884718 & 0.124433829667133 \tabularnewline
0.7 & 100.809951422104 & 0.105654073921231 \tabularnewline
0.71 & 100.8304863675 & 0.0940145915558011 \tabularnewline
0.72 & 100.849660755219 & 0.0883642611529921 \tabularnewline
0.73 & 100.868401493274 & 0.0871727505567163 \tabularnewline
0.74 & 100.887426416855 & 0.0891199595847456 \tabularnewline
0.75 & 100.907254886341 & 0.0931730882873012 \tabularnewline
0.76 & 100.928225755677 & 0.0981159903110951 \tabularnewline
0.77 & 100.950523147842 & 0.103331344694173 \tabularnewline
0.78 & 100.974209604473 & 0.108061135145711 \tabularnewline
0.79 & 100.999264057252 & 0.112154662088302 \tabularnewline
0.8 & 101.02561948861 & 0.115455290182693 \tabularnewline
0.81 & 101.053193322384 & 0.118041077616414 \tabularnewline
0.82 & 101.081903805593 & 0.120004479533458 \tabularnewline
0.83 & 101.111668764987 & 0.121426763438404 \tabularnewline
0.84 & 101.142389038102 & 0.122347299867419 \tabularnewline
0.85 & 101.173926278342 & 0.122418346854623 \tabularnewline
0.86 & 101.206091532766 & 0.121445088689924 \tabularnewline
0.87 & 101.238664893228 & 0.119060319686034 \tabularnewline
0.88 & 101.27146693653 & 0.115175929651208 \tabularnewline
0.89 & 101.30450125541 & 0.110329530480404 \tabularnewline
0.9 & 101.338187235618 & 0.105650212972299 \tabularnewline
0.91 & 101.373702216379 & 0.103174334419427 \tabularnewline
0.92 & 101.413432661096 & 0.106055168688974 \tabularnewline
0.93 & 101.461437177706 & 0.118658099832926 \tabularnewline
0.94 & 101.523561564478 & 0.145625750360077 \tabularnewline
0.95 & 101.606413196063 & 0.188358743304701 \tabularnewline
0.96 & 101.7141575807 & 0.23816515354848 \tabularnewline
0.97 & 101.842965926304 & 0.26950442939996 \tabularnewline
0.98 & 101.975770816483 & 0.245728140996757 \tabularnewline
0.99 & 102.083636192487 & 0.156024689463519 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292918&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]92.8444317553705[/C][C]0.121745763036848[/C][/ROW]
[ROW][C]0.02[/C][C]92.9235781020149[/C][C]0.164720035986069[/C][/ROW]
[ROW][C]0.03[/C][C]93.0213742287247[/C][C]0.200195250231471[/C][/ROW]
[ROW][C]0.04[/C][C]93.1240320055341[/C][C]0.214565498097584[/C][/ROW]
[ROW][C]0.05[/C][C]93.2227628213178[/C][C]0.211840301900116[/C][/ROW]
[ROW][C]0.06[/C][C]93.3137224019104[/C][C]0.204683342894678[/C][/ROW]
[ROW][C]0.07[/C][C]93.3974580048461[/C][C]0.20692165200519[/C][/ROW]
[ROW][C]0.08[/C][C]93.4776356091882[/C][C]0.227351556388948[/C][/ROW]
[ROW][C]0.09[/C][C]93.5592120562374[/C][C]0.265650352915167[/C][/ROW]
[ROW][C]0.1[/C][C]93.6466824701951[/C][C]0.314886576979581[/C][/ROW]
[ROW][C]0.11[/C][C]93.7429447672898[/C][C]0.366628068935857[/C][/ROW]
[ROW][C]0.12[/C][C]93.8489803223939[/C][C]0.414488275839825[/C][/ROW]
[ROW][C]0.13[/C][C]93.96421934838[/C][C]0.455372972548672[/C][/ROW]
[ROW][C]0.14[/C][C]94.0872609478428[/C][C]0.489794759380021[/C][/ROW]
[ROW][C]0.15[/C][C]94.2165852744477[/C][C]0.520355320610621[/C][/ROW]
[ROW][C]0.16[/C][C]94.351001483363[/C][C]0.549977911204669[/C][/ROW]
[ROW][C]0.17[/C][C]94.4897484643815[/C][C]0.58011105851069[/C][/ROW]
[ROW][C]0.18[/C][C]94.6323233523595[/C][C]0.610022071531227[/C][/ROW]
[ROW][C]0.19[/C][C]94.7781983864665[/C][C]0.637323547276479[/C][/ROW]
[ROW][C]0.2[/C][C]94.9265861535656[/C][C]0.65912519228351[/C][/ROW]
[ROW][C]0.21[/C][C]95.0763508952527[/C][C]0.673030298065584[/C][/ROW]
[ROW][C]0.22[/C][C]95.2260811944971[/C][C]0.678067011520449[/C][/ROW]
[ROW][C]0.23[/C][C]95.3742743754645[/C][C]0.674750105690624[/C][/ROW]
[ROW][C]0.24[/C][C]95.5195548221378[/C][C]0.664474413281482[/C][/ROW]
[ROW][C]0.25[/C][C]95.6608565702726[/C][C]0.649931944080243[/C][/ROW]
[ROW][C]0.26[/C][C]95.7975307226227[/C][C]0.633205429894381[/C][/ROW]
[ROW][C]0.27[/C][C]95.929372263544[/C][C]0.616733661663225[/C][/ROW]
[ROW][C]0.28[/C][C]96.05658471101[/C][C]0.602070480582887[/C][/ROW]
[ROW][C]0.29[/C][C]96.1797090930867[/C][C]0.590477111652386[/C][/ROW]
[ROW][C]0.3[/C][C]96.2995384162096[/C][C]0.58309804285895[/C][/ROW]
[ROW][C]0.31[/C][C]96.4170273688026[/C][C]0.580860593516415[/C][/ROW]
[ROW][C]0.32[/C][C]96.5331973103753[/C][C]0.583961225225621[/C][/ROW]
[ROW][C]0.33[/C][C]96.6490336399302[/C][C]0.592222701359568[/C][/ROW]
[ROW][C]0.34[/C][C]96.7653771082817[/C][C]0.604783044350658[/C][/ROW]
[ROW][C]0.35[/C][C]96.8828194451433[/C][C]0.619814056922625[/C][/ROW]
[ROW][C]0.36[/C][C]97.0016218613571[/C][C]0.634750174398777[/C][/ROW]
[ROW][C]0.37[/C][C]97.1216780558884[/C][C]0.647126633170195[/C][/ROW]
[ROW][C]0.38[/C][C]97.2425390200464[/C][C]0.654775970660345[/C][/ROW]
[ROW][C]0.39[/C][C]97.3635057979738[/C][C]0.656229364261793[/C][/ROW]
[ROW][C]0.4[/C][C]97.4837814736415[/C][C]0.651484916653259[/C][/ROW]
[ROW][C]0.41[/C][C]97.602659232127[/C][C]0.641461132313128[/C][/ROW]
[ROW][C]0.42[/C][C]97.7197133227197[/C][C]0.628674277280645[/C][/ROW]
[ROW][C]0.43[/C][C]97.8349566339635[/C][C]0.616504905767848[/C][/ROW]
[ROW][C]0.44[/C][C]97.9489329287431[/C][C]0.609095606678856[/C][/ROW]
[ROW][C]0.45[/C][C]98.0627223428445[/C][C]0.610071913026296[/C][/ROW]
[ROW][C]0.46[/C][C]98.1778531163589[/C][C]0.622476963728499[/C][/ROW]
[ROW][C]0.47[/C][C]98.2961278991415[/C][C]0.64759062022157[/C][/ROW]
[ROW][C]0.48[/C][C]98.4193867832324[/C][C]0.684662683546339[/C][/ROW]
[ROW][C]0.49[/C][C]98.5492394966303[/C][C]0.730937672085141[/C][/ROW]
[ROW][C]0.5[/C][C]98.6868046629093[/C][C]0.782364512884886[/C][/ROW]
[ROW][C]0.51[/C][C]98.8324940511438[/C][C]0.833641028282609[/C][/ROW]
[ROW][C]0.52[/C][C]98.9858742689897[/C][C]0.879082265316841[/C][/ROW]
[ROW][C]0.53[/C][C]99.14562797319[/C][C]0.913778817773911[/C][/ROW]
[ROW][C]0.54[/C][C]99.3096226676292[/C][C]0.933112796134932[/C][/ROW]
[ROW][C]0.55[/C][C]99.4750795101396[/C][C]0.934255191946783[/C][/ROW]
[ROW][C]0.56[/C][C]99.6388197541001[/C][C]0.915734820713935[/C][/ROW]
[ROW][C]0.57[/C][C]99.7975551148443[/C][C]0.877920358775114[/C][/ROW]
[ROW][C]0.58[/C][C]99.9481826148813[/C][C]0.822979817721507[/C][/ROW]
[ROW][C]0.59[/C][C]100.088045438785[/C][C]0.754155922594862[/C][/ROW]
[ROW][C]0.6[/C][C]100.215128748913[/C][C]0.675841917893223[/C][/ROW]
[ROW][C]0.61[/C][C]100.328171628774[/C][C]0.592509702632398[/C][/ROW]
[ROW][C]0.62[/C][C]100.426690694308[/C][C]0.508760785062822[/C][/ROW]
[ROW][C]0.63[/C][C]100.51092448401[/C][C]0.42833874048639[/C][/ROW]
[ROW][C]0.64[/C][C]100.581717960213[/C][C]0.354296257563174[/C][/ROW]
[ROW][C]0.65[/C][C]100.640371777225[/C][C]0.288949188495972[/C][/ROW]
[ROW][C]0.66[/C][C]100.688481114399[/C][C]0.233123503261743[/C][/ROW]
[ROW][C]0.67[/C][C]100.727784721227[/C][C]0.187307141154722[/C][/ROW]
[ROW][C]0.68[/C][C]100.760038049532[/C][C]0.151345507781466[/C][/ROW]
[ROW][C]0.69[/C][C]100.786916884718[/C][C]0.124433829667133[/C][/ROW]
[ROW][C]0.7[/C][C]100.809951422104[/C][C]0.105654073921231[/C][/ROW]
[ROW][C]0.71[/C][C]100.8304863675[/C][C]0.0940145915558011[/C][/ROW]
[ROW][C]0.72[/C][C]100.849660755219[/C][C]0.0883642611529921[/C][/ROW]
[ROW][C]0.73[/C][C]100.868401493274[/C][C]0.0871727505567163[/C][/ROW]
[ROW][C]0.74[/C][C]100.887426416855[/C][C]0.0891199595847456[/C][/ROW]
[ROW][C]0.75[/C][C]100.907254886341[/C][C]0.0931730882873012[/C][/ROW]
[ROW][C]0.76[/C][C]100.928225755677[/C][C]0.0981159903110951[/C][/ROW]
[ROW][C]0.77[/C][C]100.950523147842[/C][C]0.103331344694173[/C][/ROW]
[ROW][C]0.78[/C][C]100.974209604473[/C][C]0.108061135145711[/C][/ROW]
[ROW][C]0.79[/C][C]100.999264057252[/C][C]0.112154662088302[/C][/ROW]
[ROW][C]0.8[/C][C]101.02561948861[/C][C]0.115455290182693[/C][/ROW]
[ROW][C]0.81[/C][C]101.053193322384[/C][C]0.118041077616414[/C][/ROW]
[ROW][C]0.82[/C][C]101.081903805593[/C][C]0.120004479533458[/C][/ROW]
[ROW][C]0.83[/C][C]101.111668764987[/C][C]0.121426763438404[/C][/ROW]
[ROW][C]0.84[/C][C]101.142389038102[/C][C]0.122347299867419[/C][/ROW]
[ROW][C]0.85[/C][C]101.173926278342[/C][C]0.122418346854623[/C][/ROW]
[ROW][C]0.86[/C][C]101.206091532766[/C][C]0.121445088689924[/C][/ROW]
[ROW][C]0.87[/C][C]101.238664893228[/C][C]0.119060319686034[/C][/ROW]
[ROW][C]0.88[/C][C]101.27146693653[/C][C]0.115175929651208[/C][/ROW]
[ROW][C]0.89[/C][C]101.30450125541[/C][C]0.110329530480404[/C][/ROW]
[ROW][C]0.9[/C][C]101.338187235618[/C][C]0.105650212972299[/C][/ROW]
[ROW][C]0.91[/C][C]101.373702216379[/C][C]0.103174334419427[/C][/ROW]
[ROW][C]0.92[/C][C]101.413432661096[/C][C]0.106055168688974[/C][/ROW]
[ROW][C]0.93[/C][C]101.461437177706[/C][C]0.118658099832926[/C][/ROW]
[ROW][C]0.94[/C][C]101.523561564478[/C][C]0.145625750360077[/C][/ROW]
[ROW][C]0.95[/C][C]101.606413196063[/C][C]0.188358743304701[/C][/ROW]
[ROW][C]0.96[/C][C]101.7141575807[/C][C]0.23816515354848[/C][/ROW]
[ROW][C]0.97[/C][C]101.842965926304[/C][C]0.26950442939996[/C][/ROW]
[ROW][C]0.98[/C][C]101.975770816483[/C][C]0.245728140996757[/C][/ROW]
[ROW][C]0.99[/C][C]102.083636192487[/C][C]0.156024689463519[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292918&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292918&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
0.0192.84443175537050.121745763036848
0.0292.92357810201490.164720035986069
0.0393.02137422872470.200195250231471
0.0493.12403200553410.214565498097584
0.0593.22276282131780.211840301900116
0.0693.31372240191040.204683342894678
0.0793.39745800484610.20692165200519
0.0893.47763560918820.227351556388948
0.0993.55921205623740.265650352915167
0.193.64668247019510.314886576979581
0.1193.74294476728980.366628068935857
0.1293.84898032239390.414488275839825
0.1393.964219348380.455372972548672
0.1494.08726094784280.489794759380021
0.1594.21658527444770.520355320610621
0.1694.3510014833630.549977911204669
0.1794.48974846438150.58011105851069
0.1894.63232335235950.610022071531227
0.1994.77819838646650.637323547276479
0.294.92658615356560.65912519228351
0.2195.07635089525270.673030298065584
0.2295.22608119449710.678067011520449
0.2395.37427437546450.674750105690624
0.2495.51955482213780.664474413281482
0.2595.66085657027260.649931944080243
0.2695.79753072262270.633205429894381
0.2795.9293722635440.616733661663225
0.2896.056584711010.602070480582887
0.2996.17970909308670.590477111652386
0.396.29953841620960.58309804285895
0.3196.41702736880260.580860593516415
0.3296.53319731037530.583961225225621
0.3396.64903363993020.592222701359568
0.3496.76537710828170.604783044350658
0.3596.88281944514330.619814056922625
0.3697.00162186135710.634750174398777
0.3797.12167805588840.647126633170195
0.3897.24253902004640.654775970660345
0.3997.36350579797380.656229364261793
0.497.48378147364150.651484916653259
0.4197.6026592321270.641461132313128
0.4297.71971332271970.628674277280645
0.4397.83495663396350.616504905767848
0.4497.94893292874310.609095606678856
0.4598.06272234284450.610071913026296
0.4698.17785311635890.622476963728499
0.4798.29612789914150.64759062022157
0.4898.41938678323240.684662683546339
0.4998.54923949663030.730937672085141
0.598.68680466290930.782364512884886
0.5198.83249405114380.833641028282609
0.5298.98587426898970.879082265316841
0.5399.145627973190.913778817773911
0.5499.30962266762920.933112796134932
0.5599.47507951013960.934255191946783
0.5699.63881975410010.915734820713935
0.5799.79755511484430.877920358775114
0.5899.94818261488130.822979817721507
0.59100.0880454387850.754155922594862
0.6100.2151287489130.675841917893223
0.61100.3281716287740.592509702632398
0.62100.4266906943080.508760785062822
0.63100.510924484010.42833874048639
0.64100.5817179602130.354296257563174
0.65100.6403717772250.288949188495972
0.66100.6884811143990.233123503261743
0.67100.7277847212270.187307141154722
0.68100.7600380495320.151345507781466
0.69100.7869168847180.124433829667133
0.7100.8099514221040.105654073921231
0.71100.83048636750.0940145915558011
0.72100.8496607552190.0883642611529921
0.73100.8684014932740.0871727505567163
0.74100.8874264168550.0891199595847456
0.75100.9072548863410.0931730882873012
0.76100.9282257556770.0981159903110951
0.77100.9505231478420.103331344694173
0.78100.9742096044730.108061135145711
0.79100.9992640572520.112154662088302
0.8101.025619488610.115455290182693
0.81101.0531933223840.118041077616414
0.82101.0819038055930.120004479533458
0.83101.1116687649870.121426763438404
0.84101.1423890381020.122347299867419
0.85101.1739262783420.122418346854623
0.86101.2060915327660.121445088689924
0.87101.2386648932280.119060319686034
0.88101.271466936530.115175929651208
0.89101.304501255410.110329530480404
0.9101.3381872356180.105650212972299
0.91101.3737022163790.103174334419427
0.92101.4134326610960.106055168688974
0.93101.4614371777060.118658099832926
0.94101.5235615644780.145625750360077
0.95101.6064131960630.188358743304701
0.96101.71415758070.23816515354848
0.97101.8429659263040.26950442939996
0.98101.9757708164830.245728140996757
0.99102.0836361924870.156024689463519


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')