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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 17:11:52 -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/t1329948935b2pwu0xxis85zcv.htm/, Retrieved Mon, 06 May 2024 23:53:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163242, Retrieved Mon, 06 May 2024 23:53:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact91

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] [Opdracht 4-oefeni...] [2012-02-22 22:11:52] [94293c0321bbca24bc99c77662544c53] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6,91
6,87
6,91
6,89
6,88
6,9
6,91
6,85
6,86
6,82
6,8
6,83
6,84
6,89
7,14
7,21
7,25
7,31
7,3
7,48
7,49
7,4
7,44
7,42
7,14
7,24
7,33
7,61
7,66
7,69
7,7
7,68
7,71
7,71
7,72
7,68
7,72
7,74
7,76
7,9
7,97
7,96
7,95
7,97
7,93
7,99
7,96
7,92
7,97
7,98
8
8,04
8,17
8,29
8,26
8,3
8,32
8,28
8,27
8,32
8,31
8,34
8,32
8,36
8,33
8,35
8,34
8,37
8,31
8,33
8,34
8,25
8,27
8,31
8,25
8,3
8,3
8,35
8,78
8,9
8,9
8,9
9
9,05

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163242&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163242&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163242&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.807544632067340.0170595445161707
0.026.818337275873810.0150735320116699
0.036.828752781994210.015202971925625
0.046.838071509046690.0163965140150082
0.056.846700925341010.0177890215567888
0.066.855023325678840.0191581862109685
0.076.863275809206510.0207728427963186
0.086.871726776634710.0233781150734558
0.096.880822515657620.0281449700759944
0.16.891244005765250.0362689841509998
0.116.90386620552670.0483998790413626
0.126.91962445145540.0643201402879428
0.136.939317814896820.0829112577348581
0.146.963406304967360.10233101692151
0.156.991868570058710.120388275318592
0.167.024170393613050.135072515198647
0.177.059357184880940.145033413371832
0.187.096241792600260.149860595145363
0.197.133630039322950.150100078303776
0.27.170520805209430.147004426429672
0.217.206234196246290.142186382318456
0.227.24045007076730.137165698590948
0.237.273167036385580.133147727357272
0.247.304609630340130.130743760735578
0.257.335115980126540.130075423284096
0.267.365032710566730.13082661533045
0.277.394633709960720.132397041666387
0.287.424069540306090.134091540527072
0.297.453347435553730.135181014209413
0.37.482338249005510.135044564608388
0.317.510805227758860.133250128480801
0.327.538448715296150.129597732591439
0.337.564960005732680.124189712826265
0.347.59007659823090.117362532614713
0.357.613630580091450.109740825382273
0.367.63558243489030.102081152378587
0.377.656034541642320.0952175918577912
0.387.675221828325550.0899214103769531
0.397.693480881027120.0867271747330987
0.47.711202510932480.0858709212851903
0.417.728775619404340.0871626175474624
0.427.746531669959930.0900630178206058
0.437.764698954779250.0937729689155877
0.447.783374190287480.0974645315039725
0.457.802516085705730.100338888771352
0.467.821961880242760.101799500679176
0.477.841464041862630.101517772772627
0.487.860741001878440.0994654382423863
0.497.879533525650530.0959132603695088
0.57.897657457803830.0914298880312958
0.517.915044227717120.0867681481431475
0.527.931762478787770.0827799765258312
0.537.948017107974180.0803090924542548
0.547.96412539171590.0800197077348861
0.557.980473263431690.0822090460653243
0.567.997457795949470.0867319552267687
0.578.01542419269660.0930589563506992
0.588.034606801414390.100300322717646
0.598.055083559449580.107442997335971
0.68.07675167298440.113455542413022
0.618.09932924017620.117423794865721
0.628.122383291272740.118657538531838
0.638.145380047644610.116825090414119
0.648.167749077923150.111930385351197
0.658.188950460648170.10432697532589
0.668.208533760813640.0946394474032964
0.678.226179735240580.0836802443487941
0.688.241719672364790.0722496300228381
0.698.255132084990850.0611253056426147
0.78.266520847997760.0508855952557173
0.718.276081750949520.0419046814271199
0.728.284065289556160.034378356534794
0.738.290742464286290.0283021030145232
0.748.296378026844440.0235793977427998
0.758.301212893915260.0200152942915376
0.768.305455137445130.0174110885245633
0.778.309277576603220.0155727986819579
0.788.31281971162310.0143226991871959
0.798.316192487165610.0135169928763739
0.88.319486026642710.013041909711584
0.818.32278300834810.0128281760634816
0.828.326183822240290.0128746861542819
0.838.329853870925990.0133559236368776
0.848.334107034955630.01474821356724
0.858.339538451655350.0180999870863646
0.868.347206473350330.0251639265072496
0.878.358827551931140.0381716484515639
0.888.376883998709340.0593334662220146
0.898.404470946053190.0899018285686815
0.98.444684676726870.128647418944332
0.918.499476127799630.170270521483347
0.928.568231808442950.205104975048896
0.938.646817931507010.221548990213898
0.948.728086217568860.211582368001434
0.958.804369988812790.176939360760391
0.968.871054388144460.131310840434802
0.978.928577998993450.0942380541349542
0.988.979953817238750.0742399476524848
0.999.023832855557280.059926128638219

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80754463206734 & 0.0170595445161707 \tabularnewline
0.02 & 6.81833727587381 & 0.0150735320116699 \tabularnewline
0.03 & 6.82875278199421 & 0.015202971925625 \tabularnewline
0.04 & 6.83807150904669 & 0.0163965140150082 \tabularnewline
0.05 & 6.84670092534101 & 0.0177890215567888 \tabularnewline
0.06 & 6.85502332567884 & 0.0191581862109685 \tabularnewline
0.07 & 6.86327580920651 & 0.0207728427963186 \tabularnewline
0.08 & 6.87172677663471 & 0.0233781150734558 \tabularnewline
0.09 & 6.88082251565762 & 0.0281449700759944 \tabularnewline
0.1 & 6.89124400576525 & 0.0362689841509998 \tabularnewline
0.11 & 6.9038662055267 & 0.0483998790413626 \tabularnewline
0.12 & 6.9196244514554 & 0.0643201402879428 \tabularnewline
0.13 & 6.93931781489682 & 0.0829112577348581 \tabularnewline
0.14 & 6.96340630496736 & 0.10233101692151 \tabularnewline
0.15 & 6.99186857005871 & 0.120388275318592 \tabularnewline
0.16 & 7.02417039361305 & 0.135072515198647 \tabularnewline
0.17 & 7.05935718488094 & 0.145033413371832 \tabularnewline
0.18 & 7.09624179260026 & 0.149860595145363 \tabularnewline
0.19 & 7.13363003932295 & 0.150100078303776 \tabularnewline
0.2 & 7.17052080520943 & 0.147004426429672 \tabularnewline
0.21 & 7.20623419624629 & 0.142186382318456 \tabularnewline
0.22 & 7.2404500707673 & 0.137165698590948 \tabularnewline
0.23 & 7.27316703638558 & 0.133147727357272 \tabularnewline
0.24 & 7.30460963034013 & 0.130743760735578 \tabularnewline
0.25 & 7.33511598012654 & 0.130075423284096 \tabularnewline
0.26 & 7.36503271056673 & 0.13082661533045 \tabularnewline
0.27 & 7.39463370996072 & 0.132397041666387 \tabularnewline
0.28 & 7.42406954030609 & 0.134091540527072 \tabularnewline
0.29 & 7.45334743555373 & 0.135181014209413 \tabularnewline
0.3 & 7.48233824900551 & 0.135044564608388 \tabularnewline
0.31 & 7.51080522775886 & 0.133250128480801 \tabularnewline
0.32 & 7.53844871529615 & 0.129597732591439 \tabularnewline
0.33 & 7.56496000573268 & 0.124189712826265 \tabularnewline
0.34 & 7.5900765982309 & 0.117362532614713 \tabularnewline
0.35 & 7.61363058009145 & 0.109740825382273 \tabularnewline
0.36 & 7.6355824348903 & 0.102081152378587 \tabularnewline
0.37 & 7.65603454164232 & 0.0952175918577912 \tabularnewline
0.38 & 7.67522182832555 & 0.0899214103769531 \tabularnewline
0.39 & 7.69348088102712 & 0.0867271747330987 \tabularnewline
0.4 & 7.71120251093248 & 0.0858709212851903 \tabularnewline
0.41 & 7.72877561940434 & 0.0871626175474624 \tabularnewline
0.42 & 7.74653166995993 & 0.0900630178206058 \tabularnewline
0.43 & 7.76469895477925 & 0.0937729689155877 \tabularnewline
0.44 & 7.78337419028748 & 0.0974645315039725 \tabularnewline
0.45 & 7.80251608570573 & 0.100338888771352 \tabularnewline
0.46 & 7.82196188024276 & 0.101799500679176 \tabularnewline
0.47 & 7.84146404186263 & 0.101517772772627 \tabularnewline
0.48 & 7.86074100187844 & 0.0994654382423863 \tabularnewline
0.49 & 7.87953352565053 & 0.0959132603695088 \tabularnewline
0.5 & 7.89765745780383 & 0.0914298880312958 \tabularnewline
0.51 & 7.91504422771712 & 0.0867681481431475 \tabularnewline
0.52 & 7.93176247878777 & 0.0827799765258312 \tabularnewline
0.53 & 7.94801710797418 & 0.0803090924542548 \tabularnewline
0.54 & 7.9641253917159 & 0.0800197077348861 \tabularnewline
0.55 & 7.98047326343169 & 0.0822090460653243 \tabularnewline
0.56 & 7.99745779594947 & 0.0867319552267687 \tabularnewline
0.57 & 8.0154241926966 & 0.0930589563506992 \tabularnewline
0.58 & 8.03460680141439 & 0.100300322717646 \tabularnewline
0.59 & 8.05508355944958 & 0.107442997335971 \tabularnewline
0.6 & 8.0767516729844 & 0.113455542413022 \tabularnewline
0.61 & 8.0993292401762 & 0.117423794865721 \tabularnewline
0.62 & 8.12238329127274 & 0.118657538531838 \tabularnewline
0.63 & 8.14538004764461 & 0.116825090414119 \tabularnewline
0.64 & 8.16774907792315 & 0.111930385351197 \tabularnewline
0.65 & 8.18895046064817 & 0.10432697532589 \tabularnewline
0.66 & 8.20853376081364 & 0.0946394474032964 \tabularnewline
0.67 & 8.22617973524058 & 0.0836802443487941 \tabularnewline
0.68 & 8.24171967236479 & 0.0722496300228381 \tabularnewline
0.69 & 8.25513208499085 & 0.0611253056426147 \tabularnewline
0.7 & 8.26652084799776 & 0.0508855952557173 \tabularnewline
0.71 & 8.27608175094952 & 0.0419046814271199 \tabularnewline
0.72 & 8.28406528955616 & 0.034378356534794 \tabularnewline
0.73 & 8.29074246428629 & 0.0283021030145232 \tabularnewline
0.74 & 8.29637802684444 & 0.0235793977427998 \tabularnewline
0.75 & 8.30121289391526 & 0.0200152942915376 \tabularnewline
0.76 & 8.30545513744513 & 0.0174110885245633 \tabularnewline
0.77 & 8.30927757660322 & 0.0155727986819579 \tabularnewline
0.78 & 8.3128197116231 & 0.0143226991871959 \tabularnewline
0.79 & 8.31619248716561 & 0.0135169928763739 \tabularnewline
0.8 & 8.31948602664271 & 0.013041909711584 \tabularnewline
0.81 & 8.3227830083481 & 0.0128281760634816 \tabularnewline
0.82 & 8.32618382224029 & 0.0128746861542819 \tabularnewline
0.83 & 8.32985387092599 & 0.0133559236368776 \tabularnewline
0.84 & 8.33410703495563 & 0.01474821356724 \tabularnewline
0.85 & 8.33953845165535 & 0.0180999870863646 \tabularnewline
0.86 & 8.34720647335033 & 0.0251639265072496 \tabularnewline
0.87 & 8.35882755193114 & 0.0381716484515639 \tabularnewline
0.88 & 8.37688399870934 & 0.0593334662220146 \tabularnewline
0.89 & 8.40447094605319 & 0.0899018285686815 \tabularnewline
0.9 & 8.44468467672687 & 0.128647418944332 \tabularnewline
0.91 & 8.49947612779963 & 0.170270521483347 \tabularnewline
0.92 & 8.56823180844295 & 0.205104975048896 \tabularnewline
0.93 & 8.64681793150701 & 0.221548990213898 \tabularnewline
0.94 & 8.72808621756886 & 0.211582368001434 \tabularnewline
0.95 & 8.80436998881279 & 0.176939360760391 \tabularnewline
0.96 & 8.87105438814446 & 0.131310840434802 \tabularnewline
0.97 & 8.92857799899345 & 0.0942380541349542 \tabularnewline
0.98 & 8.97995381723875 & 0.0742399476524848 \tabularnewline
0.99 & 9.02383285555728 & 0.059926128638219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163242&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]6.80754463206734[/C][C]0.0170595445161707[/C][/ROW]
[ROW][C]0.02[/C][C]6.81833727587381[/C][C]0.0150735320116699[/C][/ROW]
[ROW][C]0.03[/C][C]6.82875278199421[/C][C]0.015202971925625[/C][/ROW]
[ROW][C]0.04[/C][C]6.83807150904669[/C][C]0.0163965140150082[/C][/ROW]
[ROW][C]0.05[/C][C]6.84670092534101[/C][C]0.0177890215567888[/C][/ROW]
[ROW][C]0.06[/C][C]6.85502332567884[/C][C]0.0191581862109685[/C][/ROW]
[ROW][C]0.07[/C][C]6.86327580920651[/C][C]0.0207728427963186[/C][/ROW]
[ROW][C]0.08[/C][C]6.87172677663471[/C][C]0.0233781150734558[/C][/ROW]
[ROW][C]0.09[/C][C]6.88082251565762[/C][C]0.0281449700759944[/C][/ROW]
[ROW][C]0.1[/C][C]6.89124400576525[/C][C]0.0362689841509998[/C][/ROW]
[ROW][C]0.11[/C][C]6.9038662055267[/C][C]0.0483998790413626[/C][/ROW]
[ROW][C]0.12[/C][C]6.9196244514554[/C][C]0.0643201402879428[/C][/ROW]
[ROW][C]0.13[/C][C]6.93931781489682[/C][C]0.0829112577348581[/C][/ROW]
[ROW][C]0.14[/C][C]6.96340630496736[/C][C]0.10233101692151[/C][/ROW]
[ROW][C]0.15[/C][C]6.99186857005871[/C][C]0.120388275318592[/C][/ROW]
[ROW][C]0.16[/C][C]7.02417039361305[/C][C]0.135072515198647[/C][/ROW]
[ROW][C]0.17[/C][C]7.05935718488094[/C][C]0.145033413371832[/C][/ROW]
[ROW][C]0.18[/C][C]7.09624179260026[/C][C]0.149860595145363[/C][/ROW]
[ROW][C]0.19[/C][C]7.13363003932295[/C][C]0.150100078303776[/C][/ROW]
[ROW][C]0.2[/C][C]7.17052080520943[/C][C]0.147004426429672[/C][/ROW]
[ROW][C]0.21[/C][C]7.20623419624629[/C][C]0.142186382318456[/C][/ROW]
[ROW][C]0.22[/C][C]7.2404500707673[/C][C]0.137165698590948[/C][/ROW]
[ROW][C]0.23[/C][C]7.27316703638558[/C][C]0.133147727357272[/C][/ROW]
[ROW][C]0.24[/C][C]7.30460963034013[/C][C]0.130743760735578[/C][/ROW]
[ROW][C]0.25[/C][C]7.33511598012654[/C][C]0.130075423284096[/C][/ROW]
[ROW][C]0.26[/C][C]7.36503271056673[/C][C]0.13082661533045[/C][/ROW]
[ROW][C]0.27[/C][C]7.39463370996072[/C][C]0.132397041666387[/C][/ROW]
[ROW][C]0.28[/C][C]7.42406954030609[/C][C]0.134091540527072[/C][/ROW]
[ROW][C]0.29[/C][C]7.45334743555373[/C][C]0.135181014209413[/C][/ROW]
[ROW][C]0.3[/C][C]7.48233824900551[/C][C]0.135044564608388[/C][/ROW]
[ROW][C]0.31[/C][C]7.51080522775886[/C][C]0.133250128480801[/C][/ROW]
[ROW][C]0.32[/C][C]7.53844871529615[/C][C]0.129597732591439[/C][/ROW]
[ROW][C]0.33[/C][C]7.56496000573268[/C][C]0.124189712826265[/C][/ROW]
[ROW][C]0.34[/C][C]7.5900765982309[/C][C]0.117362532614713[/C][/ROW]
[ROW][C]0.35[/C][C]7.61363058009145[/C][C]0.109740825382273[/C][/ROW]
[ROW][C]0.36[/C][C]7.6355824348903[/C][C]0.102081152378587[/C][/ROW]
[ROW][C]0.37[/C][C]7.65603454164232[/C][C]0.0952175918577912[/C][/ROW]
[ROW][C]0.38[/C][C]7.67522182832555[/C][C]0.0899214103769531[/C][/ROW]
[ROW][C]0.39[/C][C]7.69348088102712[/C][C]0.0867271747330987[/C][/ROW]
[ROW][C]0.4[/C][C]7.71120251093248[/C][C]0.0858709212851903[/C][/ROW]
[ROW][C]0.41[/C][C]7.72877561940434[/C][C]0.0871626175474624[/C][/ROW]
[ROW][C]0.42[/C][C]7.74653166995993[/C][C]0.0900630178206058[/C][/ROW]
[ROW][C]0.43[/C][C]7.76469895477925[/C][C]0.0937729689155877[/C][/ROW]
[ROW][C]0.44[/C][C]7.78337419028748[/C][C]0.0974645315039725[/C][/ROW]
[ROW][C]0.45[/C][C]7.80251608570573[/C][C]0.100338888771352[/C][/ROW]
[ROW][C]0.46[/C][C]7.82196188024276[/C][C]0.101799500679176[/C][/ROW]
[ROW][C]0.47[/C][C]7.84146404186263[/C][C]0.101517772772627[/C][/ROW]
[ROW][C]0.48[/C][C]7.86074100187844[/C][C]0.0994654382423863[/C][/ROW]
[ROW][C]0.49[/C][C]7.87953352565053[/C][C]0.0959132603695088[/C][/ROW]
[ROW][C]0.5[/C][C]7.89765745780383[/C][C]0.0914298880312958[/C][/ROW]
[ROW][C]0.51[/C][C]7.91504422771712[/C][C]0.0867681481431475[/C][/ROW]
[ROW][C]0.52[/C][C]7.93176247878777[/C][C]0.0827799765258312[/C][/ROW]
[ROW][C]0.53[/C][C]7.94801710797418[/C][C]0.0803090924542548[/C][/ROW]
[ROW][C]0.54[/C][C]7.9641253917159[/C][C]0.0800197077348861[/C][/ROW]
[ROW][C]0.55[/C][C]7.98047326343169[/C][C]0.0822090460653243[/C][/ROW]
[ROW][C]0.56[/C][C]7.99745779594947[/C][C]0.0867319552267687[/C][/ROW]
[ROW][C]0.57[/C][C]8.0154241926966[/C][C]0.0930589563506992[/C][/ROW]
[ROW][C]0.58[/C][C]8.03460680141439[/C][C]0.100300322717646[/C][/ROW]
[ROW][C]0.59[/C][C]8.05508355944958[/C][C]0.107442997335971[/C][/ROW]
[ROW][C]0.6[/C][C]8.0767516729844[/C][C]0.113455542413022[/C][/ROW]
[ROW][C]0.61[/C][C]8.0993292401762[/C][C]0.117423794865721[/C][/ROW]
[ROW][C]0.62[/C][C]8.12238329127274[/C][C]0.118657538531838[/C][/ROW]
[ROW][C]0.63[/C][C]8.14538004764461[/C][C]0.116825090414119[/C][/ROW]
[ROW][C]0.64[/C][C]8.16774907792315[/C][C]0.111930385351197[/C][/ROW]
[ROW][C]0.65[/C][C]8.18895046064817[/C][C]0.10432697532589[/C][/ROW]
[ROW][C]0.66[/C][C]8.20853376081364[/C][C]0.0946394474032964[/C][/ROW]
[ROW][C]0.67[/C][C]8.22617973524058[/C][C]0.0836802443487941[/C][/ROW]
[ROW][C]0.68[/C][C]8.24171967236479[/C][C]0.0722496300228381[/C][/ROW]
[ROW][C]0.69[/C][C]8.25513208499085[/C][C]0.0611253056426147[/C][/ROW]
[ROW][C]0.7[/C][C]8.26652084799776[/C][C]0.0508855952557173[/C][/ROW]
[ROW][C]0.71[/C][C]8.27608175094952[/C][C]0.0419046814271199[/C][/ROW]
[ROW][C]0.72[/C][C]8.28406528955616[/C][C]0.034378356534794[/C][/ROW]
[ROW][C]0.73[/C][C]8.29074246428629[/C][C]0.0283021030145232[/C][/ROW]
[ROW][C]0.74[/C][C]8.29637802684444[/C][C]0.0235793977427998[/C][/ROW]
[ROW][C]0.75[/C][C]8.30121289391526[/C][C]0.0200152942915376[/C][/ROW]
[ROW][C]0.76[/C][C]8.30545513744513[/C][C]0.0174110885245633[/C][/ROW]
[ROW][C]0.77[/C][C]8.30927757660322[/C][C]0.0155727986819579[/C][/ROW]
[ROW][C]0.78[/C][C]8.3128197116231[/C][C]0.0143226991871959[/C][/ROW]
[ROW][C]0.79[/C][C]8.31619248716561[/C][C]0.0135169928763739[/C][/ROW]
[ROW][C]0.8[/C][C]8.31948602664271[/C][C]0.013041909711584[/C][/ROW]
[ROW][C]0.81[/C][C]8.3227830083481[/C][C]0.0128281760634816[/C][/ROW]
[ROW][C]0.82[/C][C]8.32618382224029[/C][C]0.0128746861542819[/C][/ROW]
[ROW][C]0.83[/C][C]8.32985387092599[/C][C]0.0133559236368776[/C][/ROW]
[ROW][C]0.84[/C][C]8.33410703495563[/C][C]0.01474821356724[/C][/ROW]
[ROW][C]0.85[/C][C]8.33953845165535[/C][C]0.0180999870863646[/C][/ROW]
[ROW][C]0.86[/C][C]8.34720647335033[/C][C]0.0251639265072496[/C][/ROW]
[ROW][C]0.87[/C][C]8.35882755193114[/C][C]0.0381716484515639[/C][/ROW]
[ROW][C]0.88[/C][C]8.37688399870934[/C][C]0.0593334662220146[/C][/ROW]
[ROW][C]0.89[/C][C]8.40447094605319[/C][C]0.0899018285686815[/C][/ROW]
[ROW][C]0.9[/C][C]8.44468467672687[/C][C]0.128647418944332[/C][/ROW]
[ROW][C]0.91[/C][C]8.49947612779963[/C][C]0.170270521483347[/C][/ROW]
[ROW][C]0.92[/C][C]8.56823180844295[/C][C]0.205104975048896[/C][/ROW]
[ROW][C]0.93[/C][C]8.64681793150701[/C][C]0.221548990213898[/C][/ROW]
[ROW][C]0.94[/C][C]8.72808621756886[/C][C]0.211582368001434[/C][/ROW]
[ROW][C]0.95[/C][C]8.80436998881279[/C][C]0.176939360760391[/C][/ROW]
[ROW][C]0.96[/C][C]8.87105438814446[/C][C]0.131310840434802[/C][/ROW]
[ROW][C]0.97[/C][C]8.92857799899345[/C][C]0.0942380541349542[/C][/ROW]
[ROW][C]0.98[/C][C]8.97995381723875[/C][C]0.0742399476524848[/C][/ROW]
[ROW][C]0.99[/C][C]9.02383285555728[/C][C]0.059926128638219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163242&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163242&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
0.016.807544632067340.0170595445161707
0.026.818337275873810.0150735320116699
0.036.828752781994210.015202971925625
0.046.838071509046690.0163965140150082
0.056.846700925341010.0177890215567888
0.066.855023325678840.0191581862109685
0.076.863275809206510.0207728427963186
0.086.871726776634710.0233781150734558
0.096.880822515657620.0281449700759944
0.16.891244005765250.0362689841509998
0.116.90386620552670.0483998790413626
0.126.91962445145540.0643201402879428
0.136.939317814896820.0829112577348581
0.146.963406304967360.10233101692151
0.156.991868570058710.120388275318592
0.167.024170393613050.135072515198647
0.177.059357184880940.145033413371832
0.187.096241792600260.149860595145363
0.197.133630039322950.150100078303776
0.27.170520805209430.147004426429672
0.217.206234196246290.142186382318456
0.227.24045007076730.137165698590948
0.237.273167036385580.133147727357272
0.247.304609630340130.130743760735578
0.257.335115980126540.130075423284096
0.267.365032710566730.13082661533045
0.277.394633709960720.132397041666387
0.287.424069540306090.134091540527072
0.297.453347435553730.135181014209413
0.37.482338249005510.135044564608388
0.317.510805227758860.133250128480801
0.327.538448715296150.129597732591439
0.337.564960005732680.124189712826265
0.347.59007659823090.117362532614713
0.357.613630580091450.109740825382273
0.367.63558243489030.102081152378587
0.377.656034541642320.0952175918577912
0.387.675221828325550.0899214103769531
0.397.693480881027120.0867271747330987
0.47.711202510932480.0858709212851903
0.417.728775619404340.0871626175474624
0.427.746531669959930.0900630178206058
0.437.764698954779250.0937729689155877
0.447.783374190287480.0974645315039725
0.457.802516085705730.100338888771352
0.467.821961880242760.101799500679176
0.477.841464041862630.101517772772627
0.487.860741001878440.0994654382423863
0.497.879533525650530.0959132603695088
0.57.897657457803830.0914298880312958
0.517.915044227717120.0867681481431475
0.527.931762478787770.0827799765258312
0.537.948017107974180.0803090924542548
0.547.96412539171590.0800197077348861
0.557.980473263431690.0822090460653243
0.567.997457795949470.0867319552267687
0.578.01542419269660.0930589563506992
0.588.034606801414390.100300322717646
0.598.055083559449580.107442997335971
0.68.07675167298440.113455542413022
0.618.09932924017620.117423794865721
0.628.122383291272740.118657538531838
0.638.145380047644610.116825090414119
0.648.167749077923150.111930385351197
0.658.188950460648170.10432697532589
0.668.208533760813640.0946394474032964
0.678.226179735240580.0836802443487941
0.688.241719672364790.0722496300228381
0.698.255132084990850.0611253056426147
0.78.266520847997760.0508855952557173
0.718.276081750949520.0419046814271199
0.728.284065289556160.034378356534794
0.738.290742464286290.0283021030145232
0.748.296378026844440.0235793977427998
0.758.301212893915260.0200152942915376
0.768.305455137445130.0174110885245633
0.778.309277576603220.0155727986819579
0.788.31281971162310.0143226991871959
0.798.316192487165610.0135169928763739
0.88.319486026642710.013041909711584
0.818.32278300834810.0128281760634816
0.828.326183822240290.0128746861542819
0.838.329853870925990.0133559236368776
0.848.334107034955630.01474821356724
0.858.339538451655350.0180999870863646
0.868.347206473350330.0251639265072496
0.878.358827551931140.0381716484515639
0.888.376883998709340.0593334662220146
0.898.404470946053190.0899018285686815
0.98.444684676726870.128647418944332
0.918.499476127799630.170270521483347
0.928.568231808442950.205104975048896
0.938.646817931507010.221548990213898
0.948.728086217568860.211582368001434
0.958.804369988812790.176939360760391
0.968.871054388144460.131310840434802
0.978.928577998993450.0942380541349542
0.988.979953817238750.0742399476524848
0.999.023832855557280.059926128638219


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')