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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 computationThu, 11 Oct 2012 04:39:30 -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/11/t1349944790guxspay8bzmiwqs.htm/, Retrieved Sat, 27 Apr 2024 13:33:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174880, Retrieved Sat, 27 Apr 2024 13:33:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

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] [Zakje friet 31/01...] [2012-10-11 08:39:30] [91a4a62a2651e4f95a22762c3a012f20] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.07
2.08
2.08
2.08
2.09
2.09
2.09
2.1
2.1
2.1
2.11
2.11
2.11
2.13
2.18
2.2
2.21
2.21
2.22
2.22
2.23
2.23
2.23
2.23
2.24
2.25
2.26
2.27
2.28
2.29
2.3
2.3
2.3
2.32
2.32
2.32
2.33
2.34
2.34
2.34
2.35
2.35
2.36
2.37
2.37
2.37
2.38
2.38
2.38
2.39
2.4
2.41
2.42
2.43
2.43
2.43
2.43
2.44
2.44
2.45
2.45
2.48
2.49
2.49
2.5
2.51
2.52
2.53
2.54
2.54
2.56
2.56

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174880&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174880&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.072575595826330.0076141254544528
0.022.07597092491650.00514271215775356
0.032.079001936970330.00409809627232903
0.042.081514819704180.00457309849455791
0.052.083805506914240.0054955601208096
0.062.086112580140220.00628399618083113
0.072.088517633295270.00690657037129634
0.082.091031539384870.00756713042919888
0.092.093679480957170.00849992698626878
0.12.096535853912760.00992578009291179
0.112.09972415504770.0120250131732489
0.122.10340188349690.0149276079701696
0.132.107738921406830.0186527427408903
0.142.112890813765420.0230650425505596
0.152.118968674583120.0278721581324854
0.162.126010851639470.0326613375448578
0.172.133963632690910.0369581865475765
0.182.142677252675020.0403100890316682
0.192.151919683055170.0423811188424892
0.22.161405848056390.0430053911965214
0.212.170835900028420.0422157605130275
0.222.179934294360010.0402144270820889
0.232.188481989162930.0373388533134693
0.242.196336619919540.0339878737537478
0.252.203438891504840.0305641966787233
0.262.209806559897290.0274191691314515
0.272.215519455794360.0248212348557928
0.282.220699766516330.0229470173767949
0.292.225491441436680.0218619094828457
0.32.230041579183820.0215330410011817
0.312.234485475643560.0218471227600528
0.322.238936003329210.0226422097065811
0.332.243477301050850.0237326014068461
0.342.248162362123620.0249474858979226
0.352.253013921029070.0261365686013665
0.362.258027947952560.0271688992065181
0.372.263179003446980.0279611485494032
0.382.268426666741150.0284569753177723
0.392.273722249481590.0286435375646825
0.42.279015068336130.0285366510968323
0.412.284257687790540.0281689315629248
0.422.289409748258080.0275998604729971
0.432.294440232785070.0268860148026606
0.442.299328255730390.0260877648843598
0.452.304062638366490.0252576236067099
0.462.308640641917290.0244330353365937
0.472.313066249799260.0236460288964924
0.482.317348339057240.022912701710684
0.492.321498982459710.0222478248935029
0.52.325532010710590.0216527693358199
0.512.329461869913550.0211309651095
0.522.333302753877460.0206792993881466
0.532.337067980135070.0202904797301784
0.542.34076960292530.0199570819831579
0.552.344418293976340.0196724225164705
0.562.348023545870810.0194229957196995
0.572.35159424019350.0192059696220503
0.582.355139562896960.0190192563536906
0.592.358670149113070.0188749545938696
0.62.362199223445230.0187844965531059
0.612.365743406670660.0187788420963064
0.622.369322825864750.0188812734784394
0.632.372960223484670.0191139845229936
0.642.3766789231990.0194814894578487
0.652.380499760220480.0199683028967382
0.662.384437377234460.0205264891999494
0.672.388496557391330.0210956533001702
0.682.392669438377120.0215897256935916
0.692.396934461151690.0219203821778489
0.72.401257717292320.0220192997175904
0.712.405596977482020.0218429054991649
0.722.409908166952310.0213838220720612
0.732.414153498980460.0206902397379972
0.742.418310002238540.0198440924917548
0.752.422376891032960.0189814470962884
0.762.42638020430160.0182572746754882
0.772.430373407315270.0178260679413056
0.782.434433193230820.0178148130710432
0.792.438650493754460.0182800284670319
0.82.443117640077460.0191907138637056
0.812.447913599170020.0204284876816023
0.822.453090062756460.0218057906771596
0.832.458661600480940.0231020706068695
0.842.464602755173870.0241136122202267
0.852.470853591132280.0246814852454575
0.862.477332856907040.0247422789957228
0.872.483955161913910.0243319523499097
0.882.490646486845940.0235664937383946
0.892.497352280472910.0225930324433121
0.92.504035345081860.0215218389286287
0.912.510666623768160.0203746937576445
0.922.517218764018250.0190946077225362
0.932.523674486498220.0176234416614891
0.942.530050464966810.0160293999323572
0.952.536406808144420.0145886773860387
0.962.542778764998970.013574885074807
0.972.548990283523030.0125314710651381
0.982.554458220741060.00996467069102466
0.992.558303375567530.00500626601406045

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.07257559582633 & 0.0076141254544528 \tabularnewline
0.02 & 2.0759709249165 & 0.00514271215775356 \tabularnewline
0.03 & 2.07900193697033 & 0.00409809627232903 \tabularnewline
0.04 & 2.08151481970418 & 0.00457309849455791 \tabularnewline
0.05 & 2.08380550691424 & 0.0054955601208096 \tabularnewline
0.06 & 2.08611258014022 & 0.00628399618083113 \tabularnewline
0.07 & 2.08851763329527 & 0.00690657037129634 \tabularnewline
0.08 & 2.09103153938487 & 0.00756713042919888 \tabularnewline
0.09 & 2.09367948095717 & 0.00849992698626878 \tabularnewline
0.1 & 2.09653585391276 & 0.00992578009291179 \tabularnewline
0.11 & 2.0997241550477 & 0.0120250131732489 \tabularnewline
0.12 & 2.1034018834969 & 0.0149276079701696 \tabularnewline
0.13 & 2.10773892140683 & 0.0186527427408903 \tabularnewline
0.14 & 2.11289081376542 & 0.0230650425505596 \tabularnewline
0.15 & 2.11896867458312 & 0.0278721581324854 \tabularnewline
0.16 & 2.12601085163947 & 0.0326613375448578 \tabularnewline
0.17 & 2.13396363269091 & 0.0369581865475765 \tabularnewline
0.18 & 2.14267725267502 & 0.0403100890316682 \tabularnewline
0.19 & 2.15191968305517 & 0.0423811188424892 \tabularnewline
0.2 & 2.16140584805639 & 0.0430053911965214 \tabularnewline
0.21 & 2.17083590002842 & 0.0422157605130275 \tabularnewline
0.22 & 2.17993429436001 & 0.0402144270820889 \tabularnewline
0.23 & 2.18848198916293 & 0.0373388533134693 \tabularnewline
0.24 & 2.19633661991954 & 0.0339878737537478 \tabularnewline
0.25 & 2.20343889150484 & 0.0305641966787233 \tabularnewline
0.26 & 2.20980655989729 & 0.0274191691314515 \tabularnewline
0.27 & 2.21551945579436 & 0.0248212348557928 \tabularnewline
0.28 & 2.22069976651633 & 0.0229470173767949 \tabularnewline
0.29 & 2.22549144143668 & 0.0218619094828457 \tabularnewline
0.3 & 2.23004157918382 & 0.0215330410011817 \tabularnewline
0.31 & 2.23448547564356 & 0.0218471227600528 \tabularnewline
0.32 & 2.23893600332921 & 0.0226422097065811 \tabularnewline
0.33 & 2.24347730105085 & 0.0237326014068461 \tabularnewline
0.34 & 2.24816236212362 & 0.0249474858979226 \tabularnewline
0.35 & 2.25301392102907 & 0.0261365686013665 \tabularnewline
0.36 & 2.25802794795256 & 0.0271688992065181 \tabularnewline
0.37 & 2.26317900344698 & 0.0279611485494032 \tabularnewline
0.38 & 2.26842666674115 & 0.0284569753177723 \tabularnewline
0.39 & 2.27372224948159 & 0.0286435375646825 \tabularnewline
0.4 & 2.27901506833613 & 0.0285366510968323 \tabularnewline
0.41 & 2.28425768779054 & 0.0281689315629248 \tabularnewline
0.42 & 2.28940974825808 & 0.0275998604729971 \tabularnewline
0.43 & 2.29444023278507 & 0.0268860148026606 \tabularnewline
0.44 & 2.29932825573039 & 0.0260877648843598 \tabularnewline
0.45 & 2.30406263836649 & 0.0252576236067099 \tabularnewline
0.46 & 2.30864064191729 & 0.0244330353365937 \tabularnewline
0.47 & 2.31306624979926 & 0.0236460288964924 \tabularnewline
0.48 & 2.31734833905724 & 0.022912701710684 \tabularnewline
0.49 & 2.32149898245971 & 0.0222478248935029 \tabularnewline
0.5 & 2.32553201071059 & 0.0216527693358199 \tabularnewline
0.51 & 2.32946186991355 & 0.0211309651095 \tabularnewline
0.52 & 2.33330275387746 & 0.0206792993881466 \tabularnewline
0.53 & 2.33706798013507 & 0.0202904797301784 \tabularnewline
0.54 & 2.3407696029253 & 0.0199570819831579 \tabularnewline
0.55 & 2.34441829397634 & 0.0196724225164705 \tabularnewline
0.56 & 2.34802354587081 & 0.0194229957196995 \tabularnewline
0.57 & 2.3515942401935 & 0.0192059696220503 \tabularnewline
0.58 & 2.35513956289696 & 0.0190192563536906 \tabularnewline
0.59 & 2.35867014911307 & 0.0188749545938696 \tabularnewline
0.6 & 2.36219922344523 & 0.0187844965531059 \tabularnewline
0.61 & 2.36574340667066 & 0.0187788420963064 \tabularnewline
0.62 & 2.36932282586475 & 0.0188812734784394 \tabularnewline
0.63 & 2.37296022348467 & 0.0191139845229936 \tabularnewline
0.64 & 2.376678923199 & 0.0194814894578487 \tabularnewline
0.65 & 2.38049976022048 & 0.0199683028967382 \tabularnewline
0.66 & 2.38443737723446 & 0.0205264891999494 \tabularnewline
0.67 & 2.38849655739133 & 0.0210956533001702 \tabularnewline
0.68 & 2.39266943837712 & 0.0215897256935916 \tabularnewline
0.69 & 2.39693446115169 & 0.0219203821778489 \tabularnewline
0.7 & 2.40125771729232 & 0.0220192997175904 \tabularnewline
0.71 & 2.40559697748202 & 0.0218429054991649 \tabularnewline
0.72 & 2.40990816695231 & 0.0213838220720612 \tabularnewline
0.73 & 2.41415349898046 & 0.0206902397379972 \tabularnewline
0.74 & 2.41831000223854 & 0.0198440924917548 \tabularnewline
0.75 & 2.42237689103296 & 0.0189814470962884 \tabularnewline
0.76 & 2.4263802043016 & 0.0182572746754882 \tabularnewline
0.77 & 2.43037340731527 & 0.0178260679413056 \tabularnewline
0.78 & 2.43443319323082 & 0.0178148130710432 \tabularnewline
0.79 & 2.43865049375446 & 0.0182800284670319 \tabularnewline
0.8 & 2.44311764007746 & 0.0191907138637056 \tabularnewline
0.81 & 2.44791359917002 & 0.0204284876816023 \tabularnewline
0.82 & 2.45309006275646 & 0.0218057906771596 \tabularnewline
0.83 & 2.45866160048094 & 0.0231020706068695 \tabularnewline
0.84 & 2.46460275517387 & 0.0241136122202267 \tabularnewline
0.85 & 2.47085359113228 & 0.0246814852454575 \tabularnewline
0.86 & 2.47733285690704 & 0.0247422789957228 \tabularnewline
0.87 & 2.48395516191391 & 0.0243319523499097 \tabularnewline
0.88 & 2.49064648684594 & 0.0235664937383946 \tabularnewline
0.89 & 2.49735228047291 & 0.0225930324433121 \tabularnewline
0.9 & 2.50403534508186 & 0.0215218389286287 \tabularnewline
0.91 & 2.51066662376816 & 0.0203746937576445 \tabularnewline
0.92 & 2.51721876401825 & 0.0190946077225362 \tabularnewline
0.93 & 2.52367448649822 & 0.0176234416614891 \tabularnewline
0.94 & 2.53005046496681 & 0.0160293999323572 \tabularnewline
0.95 & 2.53640680814442 & 0.0145886773860387 \tabularnewline
0.96 & 2.54277876499897 & 0.013574885074807 \tabularnewline
0.97 & 2.54899028352303 & 0.0125314710651381 \tabularnewline
0.98 & 2.55445822074106 & 0.00996467069102466 \tabularnewline
0.99 & 2.55830337556753 & 0.00500626601406045 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174880&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]2.07257559582633[/C][C]0.0076141254544528[/C][/ROW]
[ROW][C]0.02[/C][C]2.0759709249165[/C][C]0.00514271215775356[/C][/ROW]
[ROW][C]0.03[/C][C]2.07900193697033[/C][C]0.00409809627232903[/C][/ROW]
[ROW][C]0.04[/C][C]2.08151481970418[/C][C]0.00457309849455791[/C][/ROW]
[ROW][C]0.05[/C][C]2.08380550691424[/C][C]0.0054955601208096[/C][/ROW]
[ROW][C]0.06[/C][C]2.08611258014022[/C][C]0.00628399618083113[/C][/ROW]
[ROW][C]0.07[/C][C]2.08851763329527[/C][C]0.00690657037129634[/C][/ROW]
[ROW][C]0.08[/C][C]2.09103153938487[/C][C]0.00756713042919888[/C][/ROW]
[ROW][C]0.09[/C][C]2.09367948095717[/C][C]0.00849992698626878[/C][/ROW]
[ROW][C]0.1[/C][C]2.09653585391276[/C][C]0.00992578009291179[/C][/ROW]
[ROW][C]0.11[/C][C]2.0997241550477[/C][C]0.0120250131732489[/C][/ROW]
[ROW][C]0.12[/C][C]2.1034018834969[/C][C]0.0149276079701696[/C][/ROW]
[ROW][C]0.13[/C][C]2.10773892140683[/C][C]0.0186527427408903[/C][/ROW]
[ROW][C]0.14[/C][C]2.11289081376542[/C][C]0.0230650425505596[/C][/ROW]
[ROW][C]0.15[/C][C]2.11896867458312[/C][C]0.0278721581324854[/C][/ROW]
[ROW][C]0.16[/C][C]2.12601085163947[/C][C]0.0326613375448578[/C][/ROW]
[ROW][C]0.17[/C][C]2.13396363269091[/C][C]0.0369581865475765[/C][/ROW]
[ROW][C]0.18[/C][C]2.14267725267502[/C][C]0.0403100890316682[/C][/ROW]
[ROW][C]0.19[/C][C]2.15191968305517[/C][C]0.0423811188424892[/C][/ROW]
[ROW][C]0.2[/C][C]2.16140584805639[/C][C]0.0430053911965214[/C][/ROW]
[ROW][C]0.21[/C][C]2.17083590002842[/C][C]0.0422157605130275[/C][/ROW]
[ROW][C]0.22[/C][C]2.17993429436001[/C][C]0.0402144270820889[/C][/ROW]
[ROW][C]0.23[/C][C]2.18848198916293[/C][C]0.0373388533134693[/C][/ROW]
[ROW][C]0.24[/C][C]2.19633661991954[/C][C]0.0339878737537478[/C][/ROW]
[ROW][C]0.25[/C][C]2.20343889150484[/C][C]0.0305641966787233[/C][/ROW]
[ROW][C]0.26[/C][C]2.20980655989729[/C][C]0.0274191691314515[/C][/ROW]
[ROW][C]0.27[/C][C]2.21551945579436[/C][C]0.0248212348557928[/C][/ROW]
[ROW][C]0.28[/C][C]2.22069976651633[/C][C]0.0229470173767949[/C][/ROW]
[ROW][C]0.29[/C][C]2.22549144143668[/C][C]0.0218619094828457[/C][/ROW]
[ROW][C]0.3[/C][C]2.23004157918382[/C][C]0.0215330410011817[/C][/ROW]
[ROW][C]0.31[/C][C]2.23448547564356[/C][C]0.0218471227600528[/C][/ROW]
[ROW][C]0.32[/C][C]2.23893600332921[/C][C]0.0226422097065811[/C][/ROW]
[ROW][C]0.33[/C][C]2.24347730105085[/C][C]0.0237326014068461[/C][/ROW]
[ROW][C]0.34[/C][C]2.24816236212362[/C][C]0.0249474858979226[/C][/ROW]
[ROW][C]0.35[/C][C]2.25301392102907[/C][C]0.0261365686013665[/C][/ROW]
[ROW][C]0.36[/C][C]2.25802794795256[/C][C]0.0271688992065181[/C][/ROW]
[ROW][C]0.37[/C][C]2.26317900344698[/C][C]0.0279611485494032[/C][/ROW]
[ROW][C]0.38[/C][C]2.26842666674115[/C][C]0.0284569753177723[/C][/ROW]
[ROW][C]0.39[/C][C]2.27372224948159[/C][C]0.0286435375646825[/C][/ROW]
[ROW][C]0.4[/C][C]2.27901506833613[/C][C]0.0285366510968323[/C][/ROW]
[ROW][C]0.41[/C][C]2.28425768779054[/C][C]0.0281689315629248[/C][/ROW]
[ROW][C]0.42[/C][C]2.28940974825808[/C][C]0.0275998604729971[/C][/ROW]
[ROW][C]0.43[/C][C]2.29444023278507[/C][C]0.0268860148026606[/C][/ROW]
[ROW][C]0.44[/C][C]2.29932825573039[/C][C]0.0260877648843598[/C][/ROW]
[ROW][C]0.45[/C][C]2.30406263836649[/C][C]0.0252576236067099[/C][/ROW]
[ROW][C]0.46[/C][C]2.30864064191729[/C][C]0.0244330353365937[/C][/ROW]
[ROW][C]0.47[/C][C]2.31306624979926[/C][C]0.0236460288964924[/C][/ROW]
[ROW][C]0.48[/C][C]2.31734833905724[/C][C]0.022912701710684[/C][/ROW]
[ROW][C]0.49[/C][C]2.32149898245971[/C][C]0.0222478248935029[/C][/ROW]
[ROW][C]0.5[/C][C]2.32553201071059[/C][C]0.0216527693358199[/C][/ROW]
[ROW][C]0.51[/C][C]2.32946186991355[/C][C]0.0211309651095[/C][/ROW]
[ROW][C]0.52[/C][C]2.33330275387746[/C][C]0.0206792993881466[/C][/ROW]
[ROW][C]0.53[/C][C]2.33706798013507[/C][C]0.0202904797301784[/C][/ROW]
[ROW][C]0.54[/C][C]2.3407696029253[/C][C]0.0199570819831579[/C][/ROW]
[ROW][C]0.55[/C][C]2.34441829397634[/C][C]0.0196724225164705[/C][/ROW]
[ROW][C]0.56[/C][C]2.34802354587081[/C][C]0.0194229957196995[/C][/ROW]
[ROW][C]0.57[/C][C]2.3515942401935[/C][C]0.0192059696220503[/C][/ROW]
[ROW][C]0.58[/C][C]2.35513956289696[/C][C]0.0190192563536906[/C][/ROW]
[ROW][C]0.59[/C][C]2.35867014911307[/C][C]0.0188749545938696[/C][/ROW]
[ROW][C]0.6[/C][C]2.36219922344523[/C][C]0.0187844965531059[/C][/ROW]
[ROW][C]0.61[/C][C]2.36574340667066[/C][C]0.0187788420963064[/C][/ROW]
[ROW][C]0.62[/C][C]2.36932282586475[/C][C]0.0188812734784394[/C][/ROW]
[ROW][C]0.63[/C][C]2.37296022348467[/C][C]0.0191139845229936[/C][/ROW]
[ROW][C]0.64[/C][C]2.376678923199[/C][C]0.0194814894578487[/C][/ROW]
[ROW][C]0.65[/C][C]2.38049976022048[/C][C]0.0199683028967382[/C][/ROW]
[ROW][C]0.66[/C][C]2.38443737723446[/C][C]0.0205264891999494[/C][/ROW]
[ROW][C]0.67[/C][C]2.38849655739133[/C][C]0.0210956533001702[/C][/ROW]
[ROW][C]0.68[/C][C]2.39266943837712[/C][C]0.0215897256935916[/C][/ROW]
[ROW][C]0.69[/C][C]2.39693446115169[/C][C]0.0219203821778489[/C][/ROW]
[ROW][C]0.7[/C][C]2.40125771729232[/C][C]0.0220192997175904[/C][/ROW]
[ROW][C]0.71[/C][C]2.40559697748202[/C][C]0.0218429054991649[/C][/ROW]
[ROW][C]0.72[/C][C]2.40990816695231[/C][C]0.0213838220720612[/C][/ROW]
[ROW][C]0.73[/C][C]2.41415349898046[/C][C]0.0206902397379972[/C][/ROW]
[ROW][C]0.74[/C][C]2.41831000223854[/C][C]0.0198440924917548[/C][/ROW]
[ROW][C]0.75[/C][C]2.42237689103296[/C][C]0.0189814470962884[/C][/ROW]
[ROW][C]0.76[/C][C]2.4263802043016[/C][C]0.0182572746754882[/C][/ROW]
[ROW][C]0.77[/C][C]2.43037340731527[/C][C]0.0178260679413056[/C][/ROW]
[ROW][C]0.78[/C][C]2.43443319323082[/C][C]0.0178148130710432[/C][/ROW]
[ROW][C]0.79[/C][C]2.43865049375446[/C][C]0.0182800284670319[/C][/ROW]
[ROW][C]0.8[/C][C]2.44311764007746[/C][C]0.0191907138637056[/C][/ROW]
[ROW][C]0.81[/C][C]2.44791359917002[/C][C]0.0204284876816023[/C][/ROW]
[ROW][C]0.82[/C][C]2.45309006275646[/C][C]0.0218057906771596[/C][/ROW]
[ROW][C]0.83[/C][C]2.45866160048094[/C][C]0.0231020706068695[/C][/ROW]
[ROW][C]0.84[/C][C]2.46460275517387[/C][C]0.0241136122202267[/C][/ROW]
[ROW][C]0.85[/C][C]2.47085359113228[/C][C]0.0246814852454575[/C][/ROW]
[ROW][C]0.86[/C][C]2.47733285690704[/C][C]0.0247422789957228[/C][/ROW]
[ROW][C]0.87[/C][C]2.48395516191391[/C][C]0.0243319523499097[/C][/ROW]
[ROW][C]0.88[/C][C]2.49064648684594[/C][C]0.0235664937383946[/C][/ROW]
[ROW][C]0.89[/C][C]2.49735228047291[/C][C]0.0225930324433121[/C][/ROW]
[ROW][C]0.9[/C][C]2.50403534508186[/C][C]0.0215218389286287[/C][/ROW]
[ROW][C]0.91[/C][C]2.51066662376816[/C][C]0.0203746937576445[/C][/ROW]
[ROW][C]0.92[/C][C]2.51721876401825[/C][C]0.0190946077225362[/C][/ROW]
[ROW][C]0.93[/C][C]2.52367448649822[/C][C]0.0176234416614891[/C][/ROW]
[ROW][C]0.94[/C][C]2.53005046496681[/C][C]0.0160293999323572[/C][/ROW]
[ROW][C]0.95[/C][C]2.53640680814442[/C][C]0.0145886773860387[/C][/ROW]
[ROW][C]0.96[/C][C]2.54277876499897[/C][C]0.013574885074807[/C][/ROW]
[ROW][C]0.97[/C][C]2.54899028352303[/C][C]0.0125314710651381[/C][/ROW]
[ROW][C]0.98[/C][C]2.55445822074106[/C][C]0.00996467069102466[/C][/ROW]
[ROW][C]0.99[/C][C]2.55830337556753[/C][C]0.00500626601406045[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174880&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.072575595826330.0076141254544528
0.022.07597092491650.00514271215775356
0.032.079001936970330.00409809627232903
0.042.081514819704180.00457309849455791
0.052.083805506914240.0054955601208096
0.062.086112580140220.00628399618083113
0.072.088517633295270.00690657037129634
0.082.091031539384870.00756713042919888
0.092.093679480957170.00849992698626878
0.12.096535853912760.00992578009291179
0.112.09972415504770.0120250131732489
0.122.10340188349690.0149276079701696
0.132.107738921406830.0186527427408903
0.142.112890813765420.0230650425505596
0.152.118968674583120.0278721581324854
0.162.126010851639470.0326613375448578
0.172.133963632690910.0369581865475765
0.182.142677252675020.0403100890316682
0.192.151919683055170.0423811188424892
0.22.161405848056390.0430053911965214
0.212.170835900028420.0422157605130275
0.222.179934294360010.0402144270820889
0.232.188481989162930.0373388533134693
0.242.196336619919540.0339878737537478
0.252.203438891504840.0305641966787233
0.262.209806559897290.0274191691314515
0.272.215519455794360.0248212348557928
0.282.220699766516330.0229470173767949
0.292.225491441436680.0218619094828457
0.32.230041579183820.0215330410011817
0.312.234485475643560.0218471227600528
0.322.238936003329210.0226422097065811
0.332.243477301050850.0237326014068461
0.342.248162362123620.0249474858979226
0.352.253013921029070.0261365686013665
0.362.258027947952560.0271688992065181
0.372.263179003446980.0279611485494032
0.382.268426666741150.0284569753177723
0.392.273722249481590.0286435375646825
0.42.279015068336130.0285366510968323
0.412.284257687790540.0281689315629248
0.422.289409748258080.0275998604729971
0.432.294440232785070.0268860148026606
0.442.299328255730390.0260877648843598
0.452.304062638366490.0252576236067099
0.462.308640641917290.0244330353365937
0.472.313066249799260.0236460288964924
0.482.317348339057240.022912701710684
0.492.321498982459710.0222478248935029
0.52.325532010710590.0216527693358199
0.512.329461869913550.0211309651095
0.522.333302753877460.0206792993881466
0.532.337067980135070.0202904797301784
0.542.34076960292530.0199570819831579
0.552.344418293976340.0196724225164705
0.562.348023545870810.0194229957196995
0.572.35159424019350.0192059696220503
0.582.355139562896960.0190192563536906
0.592.358670149113070.0188749545938696
0.62.362199223445230.0187844965531059
0.612.365743406670660.0187788420963064
0.622.369322825864750.0188812734784394
0.632.372960223484670.0191139845229936
0.642.3766789231990.0194814894578487
0.652.380499760220480.0199683028967382
0.662.384437377234460.0205264891999494
0.672.388496557391330.0210956533001702
0.682.392669438377120.0215897256935916
0.692.396934461151690.0219203821778489
0.72.401257717292320.0220192997175904
0.712.405596977482020.0218429054991649
0.722.409908166952310.0213838220720612
0.732.414153498980460.0206902397379972
0.742.418310002238540.0198440924917548
0.752.422376891032960.0189814470962884
0.762.42638020430160.0182572746754882
0.772.430373407315270.0178260679413056
0.782.434433193230820.0178148130710432
0.792.438650493754460.0182800284670319
0.82.443117640077460.0191907138637056
0.812.447913599170020.0204284876816023
0.822.453090062756460.0218057906771596
0.832.458661600480940.0231020706068695
0.842.464602755173870.0241136122202267
0.852.470853591132280.0246814852454575
0.862.477332856907040.0247422789957228
0.872.483955161913910.0243319523499097
0.882.490646486845940.0235664937383946
0.892.497352280472910.0225930324433121
0.92.504035345081860.0215218389286287
0.912.510666623768160.0203746937576445
0.922.517218764018250.0190946077225362
0.932.523674486498220.0176234416614891
0.942.530050464966810.0160293999323572
0.952.536406808144420.0145886773860387
0.962.542778764998970.013574885074807
0.972.548990283523030.0125314710651381
0.982.554458220741060.00996467069102466
0.992.558303375567530.00500626601406045


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')