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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, 05 Oct 2012 14:38:14 -0400
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/Oct/05/t1349462395gcbo295o1gyf4e0.htm/, Retrieved Thu, 02 May 2024 18:00:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172423, Retrieved Thu, 02 May 2024 18:00:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
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] [Gemiddelde prijs ...] [2012-10-05 18:38:14] [778963f9ed1fb67b9d5ff0854a52552f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,26
1,27
1,24
1,25
1,27
1,25
1,26
1,27
1,26
1,26
1,28
1,27
1,28
1,27
1,26
1,27
1,27
1,28
1,27
1,26
1,3
1,31
1,28
1,29
1,31
1,29
1,29
1,32
1,3
1,29
1,31
1,29
1,33
1,35
1,32
1,33
1,34
1,34
1,33
1,33
1,35
1,32
1,35
1,32
1,36
1,37
1,34
1,32
1,34
1,32
1,33
1,35
1,33
1,33
1,35
1,33
1,36
1,39
1,37
1,37
1,39
1,37
1,39
1,39
1,39
1,37
1,38
1,37
1,41
1,41
1,42
1,42

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172423&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172423&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172423&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.242745093058050.00797653828492432
0.021.246566561445170.00614416946456615
0.031.250176825629990.00536653422405391
0.041.253149892567590.00501904028906685
0.051.255507410603470.00442675128603629
0.061.257353350520780.00363112324747946
0.071.258797261493590.00299084204467651
0.081.2599675413730.00279488243067317
0.091.261000015773920.00304248551984825
0.11.262005544272870.0035005282757611
0.111.263046582215920.00394000677885046
0.121.264135089010710.00421909212468067
0.131.265247306399590.00428382719530475
0.141.266345228806940.00415670143530308
0.151.267396009258710.00391754408296555
0.161.268384300407240.00367845263070872
0.171.269316194432040.00355518902633237
0.181.270216101481130.0036239437019373
0.191.271119337847080.00390509935887577
0.21.272063459617650.00436161267212977
0.211.273080791965380.00493090144092951
0.221.274193599919320.00554487650904254
0.231.275412318510590.00614895775800532
0.241.276736466814970.00670306552754161
0.251.27815741246340.00718450612101681
0.261.279662011044890.00758886852416717
0.271.281236234370280.00792895214407249
0.281.28286812243590.00822524917975547
0.291.284549660268850.00850535778442422
0.31.286277434903370.00879515079860224
0.311.288052140153160.00911559032655895
0.321.289877158376220.00947505926288897
0.331.29175655876660.00986783390004594
0.341.293692910661010.0102748002047019
0.351.295685314909550.0106655489926005
0.361.297728003728890.0110049064434946
0.371.299809752943520.011258565699105
0.381.301914204040420.0113953999403412
0.391.30402103155650.0113974507152188
0.41.306107744304960.0112590994386874
0.411.308151805298440.0109857801528222
0.421.310132714297780.0105983229982817
0.431.312033724537210.0101220173208181
0.441.313842953063160.00959239129340756
0.451.315553772495610.00903962890164803
0.461.317164514153680.00849450503927131
0.471.31867763992410.00797663220490516
0.481.320098627924060.0075012800148288
0.491.321434847833980.00707293211168309
0.51.322694670239630.00669113733690329
0.511.32388696832340.00635204615184999
0.521.325021050279130.0060542819551703
0.531.326106936057690.00580264922271494
0.541.327155793617390.00560425058463097
0.551.328180302933340.00547359707544799
0.561.329194732890290.00542602674797197
0.571.330214592557210.00547278089945537
0.581.331255834323370.00561686134747068
0.591.332333711909930.00584731187456059
0.61.333461499395990.00614709615591328
0.611.334649332634940.00648820135787075
0.621.335903428742680.00684276472657713
0.631.337225874044060.00718461734583477
0.641.338615059674320.00749216327872601
0.651.34006670863010.00775269912608985
0.661.341575303469710.00796430797876161
0.671.34313561519690.00813293421647998
0.681.344743974716920.00827657688133077
0.691.346398939277580.0084113714730421
0.71.348101101979440.00855460377999694
0.711.349851974792480.00871485933696102
0.721.351652125887470.00888574931297318
0.731.353499024590560.00904724254203562
0.741.355385269212350.00916460677845636
0.751.357297956668520.0091986506165668
0.761.359219819423190.00912022651126871
0.771.361132367110320.00891755412903184
0.781.36302066187040.00860734575803796
0.791.364878654143630.00823971261420107
0.81.366713422520930.00789403655160663
0.811.368546460465580.00766188605708453
0.821.370410574934540.00762025134559538
0.831.372342122905560.00778847759213135
0.841.374370090629690.00810960418792544
0.851.376505476671360.00845812628347687
0.861.378735812973970.00868649209475903
0.871.381029504631270.00867702446934052
0.881.383352177658780.00839544017979893
0.891.385692223346470.00793573315168511
0.91.388086325188990.00752912558498608
0.911.390630830137870.00749197693626497
0.921.393465634588850.00802907503931782
0.931.396726993303890.00900631112558255
0.941.400481856976670.00997340472631172
0.951.404667973454780.0104158980651287
0.961.40905899456340.00999571831333967
0.971.413259927570370.00859014149813491
0.981.416751018993020.00612855373961353
0.991.419045892893650.00281825387557261

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.24274509305805 & 0.00797653828492432 \tabularnewline
0.02 & 1.24656656144517 & 0.00614416946456615 \tabularnewline
0.03 & 1.25017682562999 & 0.00536653422405391 \tabularnewline
0.04 & 1.25314989256759 & 0.00501904028906685 \tabularnewline
0.05 & 1.25550741060347 & 0.00442675128603629 \tabularnewline
0.06 & 1.25735335052078 & 0.00363112324747946 \tabularnewline
0.07 & 1.25879726149359 & 0.00299084204467651 \tabularnewline
0.08 & 1.259967541373 & 0.00279488243067317 \tabularnewline
0.09 & 1.26100001577392 & 0.00304248551984825 \tabularnewline
0.1 & 1.26200554427287 & 0.0035005282757611 \tabularnewline
0.11 & 1.26304658221592 & 0.00394000677885046 \tabularnewline
0.12 & 1.26413508901071 & 0.00421909212468067 \tabularnewline
0.13 & 1.26524730639959 & 0.00428382719530475 \tabularnewline
0.14 & 1.26634522880694 & 0.00415670143530308 \tabularnewline
0.15 & 1.26739600925871 & 0.00391754408296555 \tabularnewline
0.16 & 1.26838430040724 & 0.00367845263070872 \tabularnewline
0.17 & 1.26931619443204 & 0.00355518902633237 \tabularnewline
0.18 & 1.27021610148113 & 0.0036239437019373 \tabularnewline
0.19 & 1.27111933784708 & 0.00390509935887577 \tabularnewline
0.2 & 1.27206345961765 & 0.00436161267212977 \tabularnewline
0.21 & 1.27308079196538 & 0.00493090144092951 \tabularnewline
0.22 & 1.27419359991932 & 0.00554487650904254 \tabularnewline
0.23 & 1.27541231851059 & 0.00614895775800532 \tabularnewline
0.24 & 1.27673646681497 & 0.00670306552754161 \tabularnewline
0.25 & 1.2781574124634 & 0.00718450612101681 \tabularnewline
0.26 & 1.27966201104489 & 0.00758886852416717 \tabularnewline
0.27 & 1.28123623437028 & 0.00792895214407249 \tabularnewline
0.28 & 1.2828681224359 & 0.00822524917975547 \tabularnewline
0.29 & 1.28454966026885 & 0.00850535778442422 \tabularnewline
0.3 & 1.28627743490337 & 0.00879515079860224 \tabularnewline
0.31 & 1.28805214015316 & 0.00911559032655895 \tabularnewline
0.32 & 1.28987715837622 & 0.00947505926288897 \tabularnewline
0.33 & 1.2917565587666 & 0.00986783390004594 \tabularnewline
0.34 & 1.29369291066101 & 0.0102748002047019 \tabularnewline
0.35 & 1.29568531490955 & 0.0106655489926005 \tabularnewline
0.36 & 1.29772800372889 & 0.0110049064434946 \tabularnewline
0.37 & 1.29980975294352 & 0.011258565699105 \tabularnewline
0.38 & 1.30191420404042 & 0.0113953999403412 \tabularnewline
0.39 & 1.3040210315565 & 0.0113974507152188 \tabularnewline
0.4 & 1.30610774430496 & 0.0112590994386874 \tabularnewline
0.41 & 1.30815180529844 & 0.0109857801528222 \tabularnewline
0.42 & 1.31013271429778 & 0.0105983229982817 \tabularnewline
0.43 & 1.31203372453721 & 0.0101220173208181 \tabularnewline
0.44 & 1.31384295306316 & 0.00959239129340756 \tabularnewline
0.45 & 1.31555377249561 & 0.00903962890164803 \tabularnewline
0.46 & 1.31716451415368 & 0.00849450503927131 \tabularnewline
0.47 & 1.3186776399241 & 0.00797663220490516 \tabularnewline
0.48 & 1.32009862792406 & 0.0075012800148288 \tabularnewline
0.49 & 1.32143484783398 & 0.00707293211168309 \tabularnewline
0.5 & 1.32269467023963 & 0.00669113733690329 \tabularnewline
0.51 & 1.3238869683234 & 0.00635204615184999 \tabularnewline
0.52 & 1.32502105027913 & 0.0060542819551703 \tabularnewline
0.53 & 1.32610693605769 & 0.00580264922271494 \tabularnewline
0.54 & 1.32715579361739 & 0.00560425058463097 \tabularnewline
0.55 & 1.32818030293334 & 0.00547359707544799 \tabularnewline
0.56 & 1.32919473289029 & 0.00542602674797197 \tabularnewline
0.57 & 1.33021459255721 & 0.00547278089945537 \tabularnewline
0.58 & 1.33125583432337 & 0.00561686134747068 \tabularnewline
0.59 & 1.33233371190993 & 0.00584731187456059 \tabularnewline
0.6 & 1.33346149939599 & 0.00614709615591328 \tabularnewline
0.61 & 1.33464933263494 & 0.00648820135787075 \tabularnewline
0.62 & 1.33590342874268 & 0.00684276472657713 \tabularnewline
0.63 & 1.33722587404406 & 0.00718461734583477 \tabularnewline
0.64 & 1.33861505967432 & 0.00749216327872601 \tabularnewline
0.65 & 1.3400667086301 & 0.00775269912608985 \tabularnewline
0.66 & 1.34157530346971 & 0.00796430797876161 \tabularnewline
0.67 & 1.3431356151969 & 0.00813293421647998 \tabularnewline
0.68 & 1.34474397471692 & 0.00827657688133077 \tabularnewline
0.69 & 1.34639893927758 & 0.0084113714730421 \tabularnewline
0.7 & 1.34810110197944 & 0.00855460377999694 \tabularnewline
0.71 & 1.34985197479248 & 0.00871485933696102 \tabularnewline
0.72 & 1.35165212588747 & 0.00888574931297318 \tabularnewline
0.73 & 1.35349902459056 & 0.00904724254203562 \tabularnewline
0.74 & 1.35538526921235 & 0.00916460677845636 \tabularnewline
0.75 & 1.35729795666852 & 0.0091986506165668 \tabularnewline
0.76 & 1.35921981942319 & 0.00912022651126871 \tabularnewline
0.77 & 1.36113236711032 & 0.00891755412903184 \tabularnewline
0.78 & 1.3630206618704 & 0.00860734575803796 \tabularnewline
0.79 & 1.36487865414363 & 0.00823971261420107 \tabularnewline
0.8 & 1.36671342252093 & 0.00789403655160663 \tabularnewline
0.81 & 1.36854646046558 & 0.00766188605708453 \tabularnewline
0.82 & 1.37041057493454 & 0.00762025134559538 \tabularnewline
0.83 & 1.37234212290556 & 0.00778847759213135 \tabularnewline
0.84 & 1.37437009062969 & 0.00810960418792544 \tabularnewline
0.85 & 1.37650547667136 & 0.00845812628347687 \tabularnewline
0.86 & 1.37873581297397 & 0.00868649209475903 \tabularnewline
0.87 & 1.38102950463127 & 0.00867702446934052 \tabularnewline
0.88 & 1.38335217765878 & 0.00839544017979893 \tabularnewline
0.89 & 1.38569222334647 & 0.00793573315168511 \tabularnewline
0.9 & 1.38808632518899 & 0.00752912558498608 \tabularnewline
0.91 & 1.39063083013787 & 0.00749197693626497 \tabularnewline
0.92 & 1.39346563458885 & 0.00802907503931782 \tabularnewline
0.93 & 1.39672699330389 & 0.00900631112558255 \tabularnewline
0.94 & 1.40048185697667 & 0.00997340472631172 \tabularnewline
0.95 & 1.40466797345478 & 0.0104158980651287 \tabularnewline
0.96 & 1.4090589945634 & 0.00999571831333967 \tabularnewline
0.97 & 1.41325992757037 & 0.00859014149813491 \tabularnewline
0.98 & 1.41675101899302 & 0.00612855373961353 \tabularnewline
0.99 & 1.41904589289365 & 0.00281825387557261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172423&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]1.24274509305805[/C][C]0.00797653828492432[/C][/ROW]
[ROW][C]0.02[/C][C]1.24656656144517[/C][C]0.00614416946456615[/C][/ROW]
[ROW][C]0.03[/C][C]1.25017682562999[/C][C]0.00536653422405391[/C][/ROW]
[ROW][C]0.04[/C][C]1.25314989256759[/C][C]0.00501904028906685[/C][/ROW]
[ROW][C]0.05[/C][C]1.25550741060347[/C][C]0.00442675128603629[/C][/ROW]
[ROW][C]0.06[/C][C]1.25735335052078[/C][C]0.00363112324747946[/C][/ROW]
[ROW][C]0.07[/C][C]1.25879726149359[/C][C]0.00299084204467651[/C][/ROW]
[ROW][C]0.08[/C][C]1.259967541373[/C][C]0.00279488243067317[/C][/ROW]
[ROW][C]0.09[/C][C]1.26100001577392[/C][C]0.00304248551984825[/C][/ROW]
[ROW][C]0.1[/C][C]1.26200554427287[/C][C]0.0035005282757611[/C][/ROW]
[ROW][C]0.11[/C][C]1.26304658221592[/C][C]0.00394000677885046[/C][/ROW]
[ROW][C]0.12[/C][C]1.26413508901071[/C][C]0.00421909212468067[/C][/ROW]
[ROW][C]0.13[/C][C]1.26524730639959[/C][C]0.00428382719530475[/C][/ROW]
[ROW][C]0.14[/C][C]1.26634522880694[/C][C]0.00415670143530308[/C][/ROW]
[ROW][C]0.15[/C][C]1.26739600925871[/C][C]0.00391754408296555[/C][/ROW]
[ROW][C]0.16[/C][C]1.26838430040724[/C][C]0.00367845263070872[/C][/ROW]
[ROW][C]0.17[/C][C]1.26931619443204[/C][C]0.00355518902633237[/C][/ROW]
[ROW][C]0.18[/C][C]1.27021610148113[/C][C]0.0036239437019373[/C][/ROW]
[ROW][C]0.19[/C][C]1.27111933784708[/C][C]0.00390509935887577[/C][/ROW]
[ROW][C]0.2[/C][C]1.27206345961765[/C][C]0.00436161267212977[/C][/ROW]
[ROW][C]0.21[/C][C]1.27308079196538[/C][C]0.00493090144092951[/C][/ROW]
[ROW][C]0.22[/C][C]1.27419359991932[/C][C]0.00554487650904254[/C][/ROW]
[ROW][C]0.23[/C][C]1.27541231851059[/C][C]0.00614895775800532[/C][/ROW]
[ROW][C]0.24[/C][C]1.27673646681497[/C][C]0.00670306552754161[/C][/ROW]
[ROW][C]0.25[/C][C]1.2781574124634[/C][C]0.00718450612101681[/C][/ROW]
[ROW][C]0.26[/C][C]1.27966201104489[/C][C]0.00758886852416717[/C][/ROW]
[ROW][C]0.27[/C][C]1.28123623437028[/C][C]0.00792895214407249[/C][/ROW]
[ROW][C]0.28[/C][C]1.2828681224359[/C][C]0.00822524917975547[/C][/ROW]
[ROW][C]0.29[/C][C]1.28454966026885[/C][C]0.00850535778442422[/C][/ROW]
[ROW][C]0.3[/C][C]1.28627743490337[/C][C]0.00879515079860224[/C][/ROW]
[ROW][C]0.31[/C][C]1.28805214015316[/C][C]0.00911559032655895[/C][/ROW]
[ROW][C]0.32[/C][C]1.28987715837622[/C][C]0.00947505926288897[/C][/ROW]
[ROW][C]0.33[/C][C]1.2917565587666[/C][C]0.00986783390004594[/C][/ROW]
[ROW][C]0.34[/C][C]1.29369291066101[/C][C]0.0102748002047019[/C][/ROW]
[ROW][C]0.35[/C][C]1.29568531490955[/C][C]0.0106655489926005[/C][/ROW]
[ROW][C]0.36[/C][C]1.29772800372889[/C][C]0.0110049064434946[/C][/ROW]
[ROW][C]0.37[/C][C]1.29980975294352[/C][C]0.011258565699105[/C][/ROW]
[ROW][C]0.38[/C][C]1.30191420404042[/C][C]0.0113953999403412[/C][/ROW]
[ROW][C]0.39[/C][C]1.3040210315565[/C][C]0.0113974507152188[/C][/ROW]
[ROW][C]0.4[/C][C]1.30610774430496[/C][C]0.0112590994386874[/C][/ROW]
[ROW][C]0.41[/C][C]1.30815180529844[/C][C]0.0109857801528222[/C][/ROW]
[ROW][C]0.42[/C][C]1.31013271429778[/C][C]0.0105983229982817[/C][/ROW]
[ROW][C]0.43[/C][C]1.31203372453721[/C][C]0.0101220173208181[/C][/ROW]
[ROW][C]0.44[/C][C]1.31384295306316[/C][C]0.00959239129340756[/C][/ROW]
[ROW][C]0.45[/C][C]1.31555377249561[/C][C]0.00903962890164803[/C][/ROW]
[ROW][C]0.46[/C][C]1.31716451415368[/C][C]0.00849450503927131[/C][/ROW]
[ROW][C]0.47[/C][C]1.3186776399241[/C][C]0.00797663220490516[/C][/ROW]
[ROW][C]0.48[/C][C]1.32009862792406[/C][C]0.0075012800148288[/C][/ROW]
[ROW][C]0.49[/C][C]1.32143484783398[/C][C]0.00707293211168309[/C][/ROW]
[ROW][C]0.5[/C][C]1.32269467023963[/C][C]0.00669113733690329[/C][/ROW]
[ROW][C]0.51[/C][C]1.3238869683234[/C][C]0.00635204615184999[/C][/ROW]
[ROW][C]0.52[/C][C]1.32502105027913[/C][C]0.0060542819551703[/C][/ROW]
[ROW][C]0.53[/C][C]1.32610693605769[/C][C]0.00580264922271494[/C][/ROW]
[ROW][C]0.54[/C][C]1.32715579361739[/C][C]0.00560425058463097[/C][/ROW]
[ROW][C]0.55[/C][C]1.32818030293334[/C][C]0.00547359707544799[/C][/ROW]
[ROW][C]0.56[/C][C]1.32919473289029[/C][C]0.00542602674797197[/C][/ROW]
[ROW][C]0.57[/C][C]1.33021459255721[/C][C]0.00547278089945537[/C][/ROW]
[ROW][C]0.58[/C][C]1.33125583432337[/C][C]0.00561686134747068[/C][/ROW]
[ROW][C]0.59[/C][C]1.33233371190993[/C][C]0.00584731187456059[/C][/ROW]
[ROW][C]0.6[/C][C]1.33346149939599[/C][C]0.00614709615591328[/C][/ROW]
[ROW][C]0.61[/C][C]1.33464933263494[/C][C]0.00648820135787075[/C][/ROW]
[ROW][C]0.62[/C][C]1.33590342874268[/C][C]0.00684276472657713[/C][/ROW]
[ROW][C]0.63[/C][C]1.33722587404406[/C][C]0.00718461734583477[/C][/ROW]
[ROW][C]0.64[/C][C]1.33861505967432[/C][C]0.00749216327872601[/C][/ROW]
[ROW][C]0.65[/C][C]1.3400667086301[/C][C]0.00775269912608985[/C][/ROW]
[ROW][C]0.66[/C][C]1.34157530346971[/C][C]0.00796430797876161[/C][/ROW]
[ROW][C]0.67[/C][C]1.3431356151969[/C][C]0.00813293421647998[/C][/ROW]
[ROW][C]0.68[/C][C]1.34474397471692[/C][C]0.00827657688133077[/C][/ROW]
[ROW][C]0.69[/C][C]1.34639893927758[/C][C]0.0084113714730421[/C][/ROW]
[ROW][C]0.7[/C][C]1.34810110197944[/C][C]0.00855460377999694[/C][/ROW]
[ROW][C]0.71[/C][C]1.34985197479248[/C][C]0.00871485933696102[/C][/ROW]
[ROW][C]0.72[/C][C]1.35165212588747[/C][C]0.00888574931297318[/C][/ROW]
[ROW][C]0.73[/C][C]1.35349902459056[/C][C]0.00904724254203562[/C][/ROW]
[ROW][C]0.74[/C][C]1.35538526921235[/C][C]0.00916460677845636[/C][/ROW]
[ROW][C]0.75[/C][C]1.35729795666852[/C][C]0.0091986506165668[/C][/ROW]
[ROW][C]0.76[/C][C]1.35921981942319[/C][C]0.00912022651126871[/C][/ROW]
[ROW][C]0.77[/C][C]1.36113236711032[/C][C]0.00891755412903184[/C][/ROW]
[ROW][C]0.78[/C][C]1.3630206618704[/C][C]0.00860734575803796[/C][/ROW]
[ROW][C]0.79[/C][C]1.36487865414363[/C][C]0.00823971261420107[/C][/ROW]
[ROW][C]0.8[/C][C]1.36671342252093[/C][C]0.00789403655160663[/C][/ROW]
[ROW][C]0.81[/C][C]1.36854646046558[/C][C]0.00766188605708453[/C][/ROW]
[ROW][C]0.82[/C][C]1.37041057493454[/C][C]0.00762025134559538[/C][/ROW]
[ROW][C]0.83[/C][C]1.37234212290556[/C][C]0.00778847759213135[/C][/ROW]
[ROW][C]0.84[/C][C]1.37437009062969[/C][C]0.00810960418792544[/C][/ROW]
[ROW][C]0.85[/C][C]1.37650547667136[/C][C]0.00845812628347687[/C][/ROW]
[ROW][C]0.86[/C][C]1.37873581297397[/C][C]0.00868649209475903[/C][/ROW]
[ROW][C]0.87[/C][C]1.38102950463127[/C][C]0.00867702446934052[/C][/ROW]
[ROW][C]0.88[/C][C]1.38335217765878[/C][C]0.00839544017979893[/C][/ROW]
[ROW][C]0.89[/C][C]1.38569222334647[/C][C]0.00793573315168511[/C][/ROW]
[ROW][C]0.9[/C][C]1.38808632518899[/C][C]0.00752912558498608[/C][/ROW]
[ROW][C]0.91[/C][C]1.39063083013787[/C][C]0.00749197693626497[/C][/ROW]
[ROW][C]0.92[/C][C]1.39346563458885[/C][C]0.00802907503931782[/C][/ROW]
[ROW][C]0.93[/C][C]1.39672699330389[/C][C]0.00900631112558255[/C][/ROW]
[ROW][C]0.94[/C][C]1.40048185697667[/C][C]0.00997340472631172[/C][/ROW]
[ROW][C]0.95[/C][C]1.40466797345478[/C][C]0.0104158980651287[/C][/ROW]
[ROW][C]0.96[/C][C]1.4090589945634[/C][C]0.00999571831333967[/C][/ROW]
[ROW][C]0.97[/C][C]1.41325992757037[/C][C]0.00859014149813491[/C][/ROW]
[ROW][C]0.98[/C][C]1.41675101899302[/C][C]0.00612855373961353[/C][/ROW]
[ROW][C]0.99[/C][C]1.41904589289365[/C][C]0.00281825387557261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172423&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172423&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
0.011.242745093058050.00797653828492432
0.021.246566561445170.00614416946456615
0.031.250176825629990.00536653422405391
0.041.253149892567590.00501904028906685
0.051.255507410603470.00442675128603629
0.061.257353350520780.00363112324747946
0.071.258797261493590.00299084204467651
0.081.2599675413730.00279488243067317
0.091.261000015773920.00304248551984825
0.11.262005544272870.0035005282757611
0.111.263046582215920.00394000677885046
0.121.264135089010710.00421909212468067
0.131.265247306399590.00428382719530475
0.141.266345228806940.00415670143530308
0.151.267396009258710.00391754408296555
0.161.268384300407240.00367845263070872
0.171.269316194432040.00355518902633237
0.181.270216101481130.0036239437019373
0.191.271119337847080.00390509935887577
0.21.272063459617650.00436161267212977
0.211.273080791965380.00493090144092951
0.221.274193599919320.00554487650904254
0.231.275412318510590.00614895775800532
0.241.276736466814970.00670306552754161
0.251.27815741246340.00718450612101681
0.261.279662011044890.00758886852416717
0.271.281236234370280.00792895214407249
0.281.28286812243590.00822524917975547
0.291.284549660268850.00850535778442422
0.31.286277434903370.00879515079860224
0.311.288052140153160.00911559032655895
0.321.289877158376220.00947505926288897
0.331.29175655876660.00986783390004594
0.341.293692910661010.0102748002047019
0.351.295685314909550.0106655489926005
0.361.297728003728890.0110049064434946
0.371.299809752943520.011258565699105
0.381.301914204040420.0113953999403412
0.391.30402103155650.0113974507152188
0.41.306107744304960.0112590994386874
0.411.308151805298440.0109857801528222
0.421.310132714297780.0105983229982817
0.431.312033724537210.0101220173208181
0.441.313842953063160.00959239129340756
0.451.315553772495610.00903962890164803
0.461.317164514153680.00849450503927131
0.471.31867763992410.00797663220490516
0.481.320098627924060.0075012800148288
0.491.321434847833980.00707293211168309
0.51.322694670239630.00669113733690329
0.511.32388696832340.00635204615184999
0.521.325021050279130.0060542819551703
0.531.326106936057690.00580264922271494
0.541.327155793617390.00560425058463097
0.551.328180302933340.00547359707544799
0.561.329194732890290.00542602674797197
0.571.330214592557210.00547278089945537
0.581.331255834323370.00561686134747068
0.591.332333711909930.00584731187456059
0.61.333461499395990.00614709615591328
0.611.334649332634940.00648820135787075
0.621.335903428742680.00684276472657713
0.631.337225874044060.00718461734583477
0.641.338615059674320.00749216327872601
0.651.34006670863010.00775269912608985
0.661.341575303469710.00796430797876161
0.671.34313561519690.00813293421647998
0.681.344743974716920.00827657688133077
0.691.346398939277580.0084113714730421
0.71.348101101979440.00855460377999694
0.711.349851974792480.00871485933696102
0.721.351652125887470.00888574931297318
0.731.353499024590560.00904724254203562
0.741.355385269212350.00916460677845636
0.751.357297956668520.0091986506165668
0.761.359219819423190.00912022651126871
0.771.361132367110320.00891755412903184
0.781.36302066187040.00860734575803796
0.791.364878654143630.00823971261420107
0.81.366713422520930.00789403655160663
0.811.368546460465580.00766188605708453
0.821.370410574934540.00762025134559538
0.831.372342122905560.00778847759213135
0.841.374370090629690.00810960418792544
0.851.376505476671360.00845812628347687
0.861.378735812973970.00868649209475903
0.871.381029504631270.00867702446934052
0.881.383352177658780.00839544017979893
0.891.385692223346470.00793573315168511
0.91.388086325188990.00752912558498608
0.911.390630830137870.00749197693626497
0.921.393465634588850.00802907503931782
0.931.396726993303890.00900631112558255
0.941.400481856976670.00997340472631172
0.951.404667973454780.0104158980651287
0.961.40905899456340.00999571831333967
0.971.413259927570370.00859014149813491
0.981.416751018993020.00612855373961353
0.991.419045892893650.00281825387557261


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')