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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 computationSun, 16 Feb 2014 15:26:11 -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/2014/Feb/16/t1392582377e36fs3ow8pdr5y1.htm/, Retrieved Sat, 18 May 2024 07:28:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233828, Retrieved Sat, 18 May 2024 07:28:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

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] [] [2014-02-16 20:26:11] [c5a9a9f8acd3dcac6ffc118c56f7dd81] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,7
8,7
8,6
8,5
8,3
8
8,2
8,1
8,1
8
7,9
7,9
8
8
7,9
8
7,7
7,2
7,5
7,3
7
7
7
7,2
7,3
7,1
6,8
6,4
6,1
6,5
7,7
7,9
7,5
6,9
6,6
6,9
7,7
8
8
7,7
7,3
7,4
8,1
8,3
8,1
7,9
7,9
8,3
8,6
8,7
8,5
8,3
8
8
8,8
8,7
8,5
8,1
7,8
7,7
7,5
7,2
6,9
6,6
6,5
6,6
7,7
8
7,7
7,3
7
7
7,3
7,3
7,1
7,1
7
7
7,5
7,8
7,9
8,1
8,3
8,4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233828&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]3 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=233828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233828&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.201594392411680.231148689077663
0.026.33090075679660.154353003754631
0.036.432837461248040.106798008791372
0.046.503222771252850.092435045456278
0.056.556543057119440.0988966115330209
0.066.60460658238590.114217225805996
0.076.652906750734970.130257709523906
0.086.702544796970670.141111601396843
0.096.752264699396220.14340669184081
0.16.799897280232310.136858933403854
0.116.843382280948130.123725890238841
0.126.881385929776080.10736915315163
0.136.913502276439410.0909330894360938
0.146.940136695675120.076673042559466
0.156.962239809900890.0659548217795549
0.166.98103281258660.0595255278141913
0.176.997790808630540.0576455299590373
0.187.013691220036970.0599229535852787
0.197.029712166734560.0653806948734889
0.27.046569381125970.0727363018793016
0.217.064689375239250.0807353480480092
0.227.084219590241670.0883258819417002
0.237.105072438686180.0947383807745929
0.247.126994164524420.0995249463187869
0.257.149645557882690.102580957858214
0.267.172681224852880.104100286051928
0.277.195816472054830.104527689276318
0.287.218874333505330.104494388600867
0.297.241808727264740.104690424389794
0.37.264702864116170.105765911613436
0.317.287744984439940.108195308635167
0.327.31118636236660.112183303380926
0.337.335289025160870.117568702902979
0.347.360272231362940.123912772383305
0.357.386266882291820.130565054552994
0.367.413285489111040.136799766563856
0.377.441212344383140.141923304823358
0.387.469814809311760.145385056840629
0.397.498772928916030.146843925242369
0.47.527721618954130.146192037807696
0.417.556297862535060.143584768964907
0.427.58418487638120.139375870752057
0.437.611146032141240.134092173984204
0.447.637043302386610.128324534377409
0.457.661837885342870.122637079578153
0.467.685574031123690.117479896504557
0.477.708350348503030.1130881078847
0.487.730285304938360.109469678934078
0.497.751484597792940.106411161028248
0.57.772017223427390.103570506187065
0.517.791904537273460.100606308422422
0.527.811123033125290.0972480099241158
0.537.829617982290510.0933597570525339
0.547.847322517122240.0889639256081709
0.557.864175963994730.0842061436648603
0.567.880136401722890.0792754461804758
0.577.895185077477220.0743725750895947
0.587.909323505936730.0696074998642817
0.597.922566705263080.0650275789734411
0.67.934937204386490.0606041122287633
0.617.946463828037390.0562973090699086
0.627.957187099705290.0521129422106402
0.637.96717019933330.0481574302220613
0.647.976511826757050.0446330770462063
0.657.985356007779970.0418487934999496
0.667.993894372599780.040126335856839
0.678.002358662985420.0397332820750916
0.688.011004493610430.0407612792708681
0.698.020090569833150.0430798619511008
0.78.029859403572630.0464522173169011
0.718.040525142102070.0505588700407799
0.728.052271243657590.0551794482905206
0.738.065256225269620.0602039983138725
0.748.079621360969370.065623618208894
0.758.095492260427020.0714673187159257
0.768.112968442296890.0776519557486586
0.778.13210144832430.0839144572368631
0.788.152870495486160.0897984474473102
0.798.175170857453720.0947584192553966
0.88.198829447101140.0983630774311245
0.818.223652106527420.100496036195894
0.828.249490405323190.101494684039913
0.838.276300168036770.102062365585546
0.848.304159837114740.102994667686572
0.858.33323089033360.104715491190376
0.868.363671639782190.106986668696959
0.878.395544539932920.109000956682497
0.888.42876445726910.109852706650628
0.898.463108057368550.109012800064085
0.98.498251829656630.106506084576563
0.918.533763893430840.102596776247197
0.928.56899011544180.097105669777866
0.938.60287754599470.0890164637087671
0.948.633948488260930.0769538625448708
0.958.660795928933610.0606203354406466
0.968.683446733077420.0426260616710636
0.978.705285927873880.0308265951659083
0.988.733046640559890.0401536176514727
0.998.769490131020850.0702814975221703

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.20159439241168 & 0.231148689077663 \tabularnewline
0.02 & 6.3309007567966 & 0.154353003754631 \tabularnewline
0.03 & 6.43283746124804 & 0.106798008791372 \tabularnewline
0.04 & 6.50322277125285 & 0.092435045456278 \tabularnewline
0.05 & 6.55654305711944 & 0.0988966115330209 \tabularnewline
0.06 & 6.6046065823859 & 0.114217225805996 \tabularnewline
0.07 & 6.65290675073497 & 0.130257709523906 \tabularnewline
0.08 & 6.70254479697067 & 0.141111601396843 \tabularnewline
0.09 & 6.75226469939622 & 0.14340669184081 \tabularnewline
0.1 & 6.79989728023231 & 0.136858933403854 \tabularnewline
0.11 & 6.84338228094813 & 0.123725890238841 \tabularnewline
0.12 & 6.88138592977608 & 0.10736915315163 \tabularnewline
0.13 & 6.91350227643941 & 0.0909330894360938 \tabularnewline
0.14 & 6.94013669567512 & 0.076673042559466 \tabularnewline
0.15 & 6.96223980990089 & 0.0659548217795549 \tabularnewline
0.16 & 6.9810328125866 & 0.0595255278141913 \tabularnewline
0.17 & 6.99779080863054 & 0.0576455299590373 \tabularnewline
0.18 & 7.01369122003697 & 0.0599229535852787 \tabularnewline
0.19 & 7.02971216673456 & 0.0653806948734889 \tabularnewline
0.2 & 7.04656938112597 & 0.0727363018793016 \tabularnewline
0.21 & 7.06468937523925 & 0.0807353480480092 \tabularnewline
0.22 & 7.08421959024167 & 0.0883258819417002 \tabularnewline
0.23 & 7.10507243868618 & 0.0947383807745929 \tabularnewline
0.24 & 7.12699416452442 & 0.0995249463187869 \tabularnewline
0.25 & 7.14964555788269 & 0.102580957858214 \tabularnewline
0.26 & 7.17268122485288 & 0.104100286051928 \tabularnewline
0.27 & 7.19581647205483 & 0.104527689276318 \tabularnewline
0.28 & 7.21887433350533 & 0.104494388600867 \tabularnewline
0.29 & 7.24180872726474 & 0.104690424389794 \tabularnewline
0.3 & 7.26470286411617 & 0.105765911613436 \tabularnewline
0.31 & 7.28774498443994 & 0.108195308635167 \tabularnewline
0.32 & 7.3111863623666 & 0.112183303380926 \tabularnewline
0.33 & 7.33528902516087 & 0.117568702902979 \tabularnewline
0.34 & 7.36027223136294 & 0.123912772383305 \tabularnewline
0.35 & 7.38626688229182 & 0.130565054552994 \tabularnewline
0.36 & 7.41328548911104 & 0.136799766563856 \tabularnewline
0.37 & 7.44121234438314 & 0.141923304823358 \tabularnewline
0.38 & 7.46981480931176 & 0.145385056840629 \tabularnewline
0.39 & 7.49877292891603 & 0.146843925242369 \tabularnewline
0.4 & 7.52772161895413 & 0.146192037807696 \tabularnewline
0.41 & 7.55629786253506 & 0.143584768964907 \tabularnewline
0.42 & 7.5841848763812 & 0.139375870752057 \tabularnewline
0.43 & 7.61114603214124 & 0.134092173984204 \tabularnewline
0.44 & 7.63704330238661 & 0.128324534377409 \tabularnewline
0.45 & 7.66183788534287 & 0.122637079578153 \tabularnewline
0.46 & 7.68557403112369 & 0.117479896504557 \tabularnewline
0.47 & 7.70835034850303 & 0.1130881078847 \tabularnewline
0.48 & 7.73028530493836 & 0.109469678934078 \tabularnewline
0.49 & 7.75148459779294 & 0.106411161028248 \tabularnewline
0.5 & 7.77201722342739 & 0.103570506187065 \tabularnewline
0.51 & 7.79190453727346 & 0.100606308422422 \tabularnewline
0.52 & 7.81112303312529 & 0.0972480099241158 \tabularnewline
0.53 & 7.82961798229051 & 0.0933597570525339 \tabularnewline
0.54 & 7.84732251712224 & 0.0889639256081709 \tabularnewline
0.55 & 7.86417596399473 & 0.0842061436648603 \tabularnewline
0.56 & 7.88013640172289 & 0.0792754461804758 \tabularnewline
0.57 & 7.89518507747722 & 0.0743725750895947 \tabularnewline
0.58 & 7.90932350593673 & 0.0696074998642817 \tabularnewline
0.59 & 7.92256670526308 & 0.0650275789734411 \tabularnewline
0.6 & 7.93493720438649 & 0.0606041122287633 \tabularnewline
0.61 & 7.94646382803739 & 0.0562973090699086 \tabularnewline
0.62 & 7.95718709970529 & 0.0521129422106402 \tabularnewline
0.63 & 7.9671701993333 & 0.0481574302220613 \tabularnewline
0.64 & 7.97651182675705 & 0.0446330770462063 \tabularnewline
0.65 & 7.98535600777997 & 0.0418487934999496 \tabularnewline
0.66 & 7.99389437259978 & 0.040126335856839 \tabularnewline
0.67 & 8.00235866298542 & 0.0397332820750916 \tabularnewline
0.68 & 8.01100449361043 & 0.0407612792708681 \tabularnewline
0.69 & 8.02009056983315 & 0.0430798619511008 \tabularnewline
0.7 & 8.02985940357263 & 0.0464522173169011 \tabularnewline
0.71 & 8.04052514210207 & 0.0505588700407799 \tabularnewline
0.72 & 8.05227124365759 & 0.0551794482905206 \tabularnewline
0.73 & 8.06525622526962 & 0.0602039983138725 \tabularnewline
0.74 & 8.07962136096937 & 0.065623618208894 \tabularnewline
0.75 & 8.09549226042702 & 0.0714673187159257 \tabularnewline
0.76 & 8.11296844229689 & 0.0776519557486586 \tabularnewline
0.77 & 8.1321014483243 & 0.0839144572368631 \tabularnewline
0.78 & 8.15287049548616 & 0.0897984474473102 \tabularnewline
0.79 & 8.17517085745372 & 0.0947584192553966 \tabularnewline
0.8 & 8.19882944710114 & 0.0983630774311245 \tabularnewline
0.81 & 8.22365210652742 & 0.100496036195894 \tabularnewline
0.82 & 8.24949040532319 & 0.101494684039913 \tabularnewline
0.83 & 8.27630016803677 & 0.102062365585546 \tabularnewline
0.84 & 8.30415983711474 & 0.102994667686572 \tabularnewline
0.85 & 8.3332308903336 & 0.104715491190376 \tabularnewline
0.86 & 8.36367163978219 & 0.106986668696959 \tabularnewline
0.87 & 8.39554453993292 & 0.109000956682497 \tabularnewline
0.88 & 8.4287644572691 & 0.109852706650628 \tabularnewline
0.89 & 8.46310805736855 & 0.109012800064085 \tabularnewline
0.9 & 8.49825182965663 & 0.106506084576563 \tabularnewline
0.91 & 8.53376389343084 & 0.102596776247197 \tabularnewline
0.92 & 8.5689901154418 & 0.097105669777866 \tabularnewline
0.93 & 8.6028775459947 & 0.0890164637087671 \tabularnewline
0.94 & 8.63394848826093 & 0.0769538625448708 \tabularnewline
0.95 & 8.66079592893361 & 0.0606203354406466 \tabularnewline
0.96 & 8.68344673307742 & 0.0426260616710636 \tabularnewline
0.97 & 8.70528592787388 & 0.0308265951659083 \tabularnewline
0.98 & 8.73304664055989 & 0.0401536176514727 \tabularnewline
0.99 & 8.76949013102085 & 0.0702814975221703 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233828&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]6.20159439241168[/C][C]0.231148689077663[/C][/ROW]
[ROW][C]0.02[/C][C]6.3309007567966[/C][C]0.154353003754631[/C][/ROW]
[ROW][C]0.03[/C][C]6.43283746124804[/C][C]0.106798008791372[/C][/ROW]
[ROW][C]0.04[/C][C]6.50322277125285[/C][C]0.092435045456278[/C][/ROW]
[ROW][C]0.05[/C][C]6.55654305711944[/C][C]0.0988966115330209[/C][/ROW]
[ROW][C]0.06[/C][C]6.6046065823859[/C][C]0.114217225805996[/C][/ROW]
[ROW][C]0.07[/C][C]6.65290675073497[/C][C]0.130257709523906[/C][/ROW]
[ROW][C]0.08[/C][C]6.70254479697067[/C][C]0.141111601396843[/C][/ROW]
[ROW][C]0.09[/C][C]6.75226469939622[/C][C]0.14340669184081[/C][/ROW]
[ROW][C]0.1[/C][C]6.79989728023231[/C][C]0.136858933403854[/C][/ROW]
[ROW][C]0.11[/C][C]6.84338228094813[/C][C]0.123725890238841[/C][/ROW]
[ROW][C]0.12[/C][C]6.88138592977608[/C][C]0.10736915315163[/C][/ROW]
[ROW][C]0.13[/C][C]6.91350227643941[/C][C]0.0909330894360938[/C][/ROW]
[ROW][C]0.14[/C][C]6.94013669567512[/C][C]0.076673042559466[/C][/ROW]
[ROW][C]0.15[/C][C]6.96223980990089[/C][C]0.0659548217795549[/C][/ROW]
[ROW][C]0.16[/C][C]6.9810328125866[/C][C]0.0595255278141913[/C][/ROW]
[ROW][C]0.17[/C][C]6.99779080863054[/C][C]0.0576455299590373[/C][/ROW]
[ROW][C]0.18[/C][C]7.01369122003697[/C][C]0.0599229535852787[/C][/ROW]
[ROW][C]0.19[/C][C]7.02971216673456[/C][C]0.0653806948734889[/C][/ROW]
[ROW][C]0.2[/C][C]7.04656938112597[/C][C]0.0727363018793016[/C][/ROW]
[ROW][C]0.21[/C][C]7.06468937523925[/C][C]0.0807353480480092[/C][/ROW]
[ROW][C]0.22[/C][C]7.08421959024167[/C][C]0.0883258819417002[/C][/ROW]
[ROW][C]0.23[/C][C]7.10507243868618[/C][C]0.0947383807745929[/C][/ROW]
[ROW][C]0.24[/C][C]7.12699416452442[/C][C]0.0995249463187869[/C][/ROW]
[ROW][C]0.25[/C][C]7.14964555788269[/C][C]0.102580957858214[/C][/ROW]
[ROW][C]0.26[/C][C]7.17268122485288[/C][C]0.104100286051928[/C][/ROW]
[ROW][C]0.27[/C][C]7.19581647205483[/C][C]0.104527689276318[/C][/ROW]
[ROW][C]0.28[/C][C]7.21887433350533[/C][C]0.104494388600867[/C][/ROW]
[ROW][C]0.29[/C][C]7.24180872726474[/C][C]0.104690424389794[/C][/ROW]
[ROW][C]0.3[/C][C]7.26470286411617[/C][C]0.105765911613436[/C][/ROW]
[ROW][C]0.31[/C][C]7.28774498443994[/C][C]0.108195308635167[/C][/ROW]
[ROW][C]0.32[/C][C]7.3111863623666[/C][C]0.112183303380926[/C][/ROW]
[ROW][C]0.33[/C][C]7.33528902516087[/C][C]0.117568702902979[/C][/ROW]
[ROW][C]0.34[/C][C]7.36027223136294[/C][C]0.123912772383305[/C][/ROW]
[ROW][C]0.35[/C][C]7.38626688229182[/C][C]0.130565054552994[/C][/ROW]
[ROW][C]0.36[/C][C]7.41328548911104[/C][C]0.136799766563856[/C][/ROW]
[ROW][C]0.37[/C][C]7.44121234438314[/C][C]0.141923304823358[/C][/ROW]
[ROW][C]0.38[/C][C]7.46981480931176[/C][C]0.145385056840629[/C][/ROW]
[ROW][C]0.39[/C][C]7.49877292891603[/C][C]0.146843925242369[/C][/ROW]
[ROW][C]0.4[/C][C]7.52772161895413[/C][C]0.146192037807696[/C][/ROW]
[ROW][C]0.41[/C][C]7.55629786253506[/C][C]0.143584768964907[/C][/ROW]
[ROW][C]0.42[/C][C]7.5841848763812[/C][C]0.139375870752057[/C][/ROW]
[ROW][C]0.43[/C][C]7.61114603214124[/C][C]0.134092173984204[/C][/ROW]
[ROW][C]0.44[/C][C]7.63704330238661[/C][C]0.128324534377409[/C][/ROW]
[ROW][C]0.45[/C][C]7.66183788534287[/C][C]0.122637079578153[/C][/ROW]
[ROW][C]0.46[/C][C]7.68557403112369[/C][C]0.117479896504557[/C][/ROW]
[ROW][C]0.47[/C][C]7.70835034850303[/C][C]0.1130881078847[/C][/ROW]
[ROW][C]0.48[/C][C]7.73028530493836[/C][C]0.109469678934078[/C][/ROW]
[ROW][C]0.49[/C][C]7.75148459779294[/C][C]0.106411161028248[/C][/ROW]
[ROW][C]0.5[/C][C]7.77201722342739[/C][C]0.103570506187065[/C][/ROW]
[ROW][C]0.51[/C][C]7.79190453727346[/C][C]0.100606308422422[/C][/ROW]
[ROW][C]0.52[/C][C]7.81112303312529[/C][C]0.0972480099241158[/C][/ROW]
[ROW][C]0.53[/C][C]7.82961798229051[/C][C]0.0933597570525339[/C][/ROW]
[ROW][C]0.54[/C][C]7.84732251712224[/C][C]0.0889639256081709[/C][/ROW]
[ROW][C]0.55[/C][C]7.86417596399473[/C][C]0.0842061436648603[/C][/ROW]
[ROW][C]0.56[/C][C]7.88013640172289[/C][C]0.0792754461804758[/C][/ROW]
[ROW][C]0.57[/C][C]7.89518507747722[/C][C]0.0743725750895947[/C][/ROW]
[ROW][C]0.58[/C][C]7.90932350593673[/C][C]0.0696074998642817[/C][/ROW]
[ROW][C]0.59[/C][C]7.92256670526308[/C][C]0.0650275789734411[/C][/ROW]
[ROW][C]0.6[/C][C]7.93493720438649[/C][C]0.0606041122287633[/C][/ROW]
[ROW][C]0.61[/C][C]7.94646382803739[/C][C]0.0562973090699086[/C][/ROW]
[ROW][C]0.62[/C][C]7.95718709970529[/C][C]0.0521129422106402[/C][/ROW]
[ROW][C]0.63[/C][C]7.9671701993333[/C][C]0.0481574302220613[/C][/ROW]
[ROW][C]0.64[/C][C]7.97651182675705[/C][C]0.0446330770462063[/C][/ROW]
[ROW][C]0.65[/C][C]7.98535600777997[/C][C]0.0418487934999496[/C][/ROW]
[ROW][C]0.66[/C][C]7.99389437259978[/C][C]0.040126335856839[/C][/ROW]
[ROW][C]0.67[/C][C]8.00235866298542[/C][C]0.0397332820750916[/C][/ROW]
[ROW][C]0.68[/C][C]8.01100449361043[/C][C]0.0407612792708681[/C][/ROW]
[ROW][C]0.69[/C][C]8.02009056983315[/C][C]0.0430798619511008[/C][/ROW]
[ROW][C]0.7[/C][C]8.02985940357263[/C][C]0.0464522173169011[/C][/ROW]
[ROW][C]0.71[/C][C]8.04052514210207[/C][C]0.0505588700407799[/C][/ROW]
[ROW][C]0.72[/C][C]8.05227124365759[/C][C]0.0551794482905206[/C][/ROW]
[ROW][C]0.73[/C][C]8.06525622526962[/C][C]0.0602039983138725[/C][/ROW]
[ROW][C]0.74[/C][C]8.07962136096937[/C][C]0.065623618208894[/C][/ROW]
[ROW][C]0.75[/C][C]8.09549226042702[/C][C]0.0714673187159257[/C][/ROW]
[ROW][C]0.76[/C][C]8.11296844229689[/C][C]0.0776519557486586[/C][/ROW]
[ROW][C]0.77[/C][C]8.1321014483243[/C][C]0.0839144572368631[/C][/ROW]
[ROW][C]0.78[/C][C]8.15287049548616[/C][C]0.0897984474473102[/C][/ROW]
[ROW][C]0.79[/C][C]8.17517085745372[/C][C]0.0947584192553966[/C][/ROW]
[ROW][C]0.8[/C][C]8.19882944710114[/C][C]0.0983630774311245[/C][/ROW]
[ROW][C]0.81[/C][C]8.22365210652742[/C][C]0.100496036195894[/C][/ROW]
[ROW][C]0.82[/C][C]8.24949040532319[/C][C]0.101494684039913[/C][/ROW]
[ROW][C]0.83[/C][C]8.27630016803677[/C][C]0.102062365585546[/C][/ROW]
[ROW][C]0.84[/C][C]8.30415983711474[/C][C]0.102994667686572[/C][/ROW]
[ROW][C]0.85[/C][C]8.3332308903336[/C][C]0.104715491190376[/C][/ROW]
[ROW][C]0.86[/C][C]8.36367163978219[/C][C]0.106986668696959[/C][/ROW]
[ROW][C]0.87[/C][C]8.39554453993292[/C][C]0.109000956682497[/C][/ROW]
[ROW][C]0.88[/C][C]8.4287644572691[/C][C]0.109852706650628[/C][/ROW]
[ROW][C]0.89[/C][C]8.46310805736855[/C][C]0.109012800064085[/C][/ROW]
[ROW][C]0.9[/C][C]8.49825182965663[/C][C]0.106506084576563[/C][/ROW]
[ROW][C]0.91[/C][C]8.53376389343084[/C][C]0.102596776247197[/C][/ROW]
[ROW][C]0.92[/C][C]8.5689901154418[/C][C]0.097105669777866[/C][/ROW]
[ROW][C]0.93[/C][C]8.6028775459947[/C][C]0.0890164637087671[/C][/ROW]
[ROW][C]0.94[/C][C]8.63394848826093[/C][C]0.0769538625448708[/C][/ROW]
[ROW][C]0.95[/C][C]8.66079592893361[/C][C]0.0606203354406466[/C][/ROW]
[ROW][C]0.96[/C][C]8.68344673307742[/C][C]0.0426260616710636[/C][/ROW]
[ROW][C]0.97[/C][C]8.70528592787388[/C][C]0.0308265951659083[/C][/ROW]
[ROW][C]0.98[/C][C]8.73304664055989[/C][C]0.0401536176514727[/C][/ROW]
[ROW][C]0.99[/C][C]8.76949013102085[/C][C]0.0702814975221703[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233828&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
0.016.201594392411680.231148689077663
0.026.33090075679660.154353003754631
0.036.432837461248040.106798008791372
0.046.503222771252850.092435045456278
0.056.556543057119440.0988966115330209
0.066.60460658238590.114217225805996
0.076.652906750734970.130257709523906
0.086.702544796970670.141111601396843
0.096.752264699396220.14340669184081
0.16.799897280232310.136858933403854
0.116.843382280948130.123725890238841
0.126.881385929776080.10736915315163
0.136.913502276439410.0909330894360938
0.146.940136695675120.076673042559466
0.156.962239809900890.0659548217795549
0.166.98103281258660.0595255278141913
0.176.997790808630540.0576455299590373
0.187.013691220036970.0599229535852787
0.197.029712166734560.0653806948734889
0.27.046569381125970.0727363018793016
0.217.064689375239250.0807353480480092
0.227.084219590241670.0883258819417002
0.237.105072438686180.0947383807745929
0.247.126994164524420.0995249463187869
0.257.149645557882690.102580957858214
0.267.172681224852880.104100286051928
0.277.195816472054830.104527689276318
0.287.218874333505330.104494388600867
0.297.241808727264740.104690424389794
0.37.264702864116170.105765911613436
0.317.287744984439940.108195308635167
0.327.31118636236660.112183303380926
0.337.335289025160870.117568702902979
0.347.360272231362940.123912772383305
0.357.386266882291820.130565054552994
0.367.413285489111040.136799766563856
0.377.441212344383140.141923304823358
0.387.469814809311760.145385056840629
0.397.498772928916030.146843925242369
0.47.527721618954130.146192037807696
0.417.556297862535060.143584768964907
0.427.58418487638120.139375870752057
0.437.611146032141240.134092173984204
0.447.637043302386610.128324534377409
0.457.661837885342870.122637079578153
0.467.685574031123690.117479896504557
0.477.708350348503030.1130881078847
0.487.730285304938360.109469678934078
0.497.751484597792940.106411161028248
0.57.772017223427390.103570506187065
0.517.791904537273460.100606308422422
0.527.811123033125290.0972480099241158
0.537.829617982290510.0933597570525339
0.547.847322517122240.0889639256081709
0.557.864175963994730.0842061436648603
0.567.880136401722890.0792754461804758
0.577.895185077477220.0743725750895947
0.587.909323505936730.0696074998642817
0.597.922566705263080.0650275789734411
0.67.934937204386490.0606041122287633
0.617.946463828037390.0562973090699086
0.627.957187099705290.0521129422106402
0.637.96717019933330.0481574302220613
0.647.976511826757050.0446330770462063
0.657.985356007779970.0418487934999496
0.667.993894372599780.040126335856839
0.678.002358662985420.0397332820750916
0.688.011004493610430.0407612792708681
0.698.020090569833150.0430798619511008
0.78.029859403572630.0464522173169011
0.718.040525142102070.0505588700407799
0.728.052271243657590.0551794482905206
0.738.065256225269620.0602039983138725
0.748.079621360969370.065623618208894
0.758.095492260427020.0714673187159257
0.768.112968442296890.0776519557486586
0.778.13210144832430.0839144572368631
0.788.152870495486160.0897984474473102
0.798.175170857453720.0947584192553966
0.88.198829447101140.0983630774311245
0.818.223652106527420.100496036195894
0.828.249490405323190.101494684039913
0.838.276300168036770.102062365585546
0.848.304159837114740.102994667686572
0.858.33323089033360.104715491190376
0.868.363671639782190.106986668696959
0.878.395544539932920.109000956682497
0.888.42876445726910.109852706650628
0.898.463108057368550.109012800064085
0.98.498251829656630.106506084576563
0.918.533763893430840.102596776247197
0.928.56899011544180.097105669777866
0.938.60287754599470.0890164637087671
0.948.633948488260930.0769538625448708
0.958.660795928933610.0606203354406466
0.968.683446733077420.0426260616710636
0.978.705285927873880.0308265951659083
0.988.733046640559890.0401536176514727
0.998.769490131020850.0702814975221703


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')