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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, 09 Oct 2015 11:54:43 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t1444388108bxrd5yfcrro91sk.htm/, Retrieved Sat, 18 May 2024 22:52:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281838, Retrieved Sat, 18 May 2024 22:52:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [opgave 4] [2015-10-09 10:54:43] [b43493158838656c32486372ca9c54cf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
84.71
85.17
84.93
85.1
85.19
85.38
85.95
86.04
85.68
85.79
85.79
86.05
86.14
86.82
86.93
87.03
87.13
87.09
87.65
87.6
87.03
87.12
87.08
87.56
87.31
87.89
88.2
87.7
88.19
88.65
89.48
89.65
89.34
89.73
89.77
90.26
90.03
91.09
90.94
91.03
91.14
91.51
91.99
91.91
91.8
91.8
91.44
91.83
91.46
92.17
91.91
92.06
92.33
92.73
93.35
93.28
93.22
93.31
93.21
93.14
93.82
94.18
94.44
94.35
94.38
94.72
95.25
95.16
94.9
95.09
95.22
95.39
96.57
97.05
97.11
97.08
97.5
97.92
98.44
98.44
98.06
98.2
98.19
98.36
98.41
98.97
99.45
98.95
99.7
100.12
100.62
100.75
100.47
100.71
100.85
101.03
101.13
101.38
101.73
101.89
102.02
102.11
102.77
102.49
102.52
102.69
102.32
102.6

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=281838&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=281838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281838&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
0.0184.8317921705980.191369676930867
0.0284.99441785203950.175595792636279
0.0385.13956541824150.194380662188461
0.0485.27537532892440.242040681223483
0.0585.41546597796430.285712040376105
0.0685.56063069204010.3088628777133
0.0785.70609053230470.320925788422703
0.0885.84993468175460.340781158901953
0.0985.99471773733360.375956204941611
0.186.1440263661930.417892164168417
0.1186.29865875162440.450836000102982
0.1286.45533124971360.46212271971809
0.1386.60813145774510.448893712656369
0.1486.75130075602180.417475193279301
0.1586.88166583414330.38121594629337
0.1686.99969430974350.354052031100884
0.1787.10908255602850.346565372072511
0.1887.21545555119240.362610555964343
0.1987.32492996365910.400172011582256
0.287.44305437846920.45528367207367
0.2187.57426272596760.523861989928937
0.2287.72169961275710.601918456479517
0.2387.88719764020960.684862121891446
0.2488.07126629589980.767818916770206
0.2588.2730824025040.84485665300111
0.2688.49055692271920.910758205610879
0.2788.72055147372070.961362388428041
0.2888.95924974463960.995077323368919
0.2989.20260802339191.01177035153082
0.389.44676682449421.01342665440204
0.3189.68832391848781.0024377938187
0.3289.92443324067780.981062706803184
0.3390.15276706361360.950836290192733
0.3490.37142419793320.912589120952385
0.3590.57886809049830.867278588065405
0.3690.77394307764950.816405447400541
0.3790.95596778302330.762296876054375
0.3891.12486551649030.707813811018465
0.3991.28127563327780.656837893599022
0.491.42659671388210.613322944706941
0.4191.56293301011130.580361982635102
0.4291.6929396192570.560719395093442
0.4391.81958299977520.555595544659823
0.4491.94584986009040.564423357883643
0.4592.0744489327840.584741235527559
0.4692.20755530461750.613505605423888
0.4792.34664281876790.646383555854515
0.4892.49243428021580.679812482954809
0.4992.64497326728140.710713315095146
0.592.80379202644810.737399788305499
0.5192.9681274271180.759322079117162
0.5293.13713048159940.776879834583884
0.5393.31002777533080.79130422916373
0.5493.48622017137460.803092237622753
0.5593.66533339709450.813417868826547
0.5693.84725299943120.823337709225916
0.5794.03217378973870.833920326851797
0.5894.22067154814310.847104492489584
0.5994.41377220067250.865049591702866
0.694.61296639328090.890476846352501
0.6194.82011016416080.924845974110241
0.6295.03717306027980.968780535479012
0.6395.26584049104681.02005773883642
0.6495.50703353020871.07371858432005
0.6595.76045650263181.12295830678796
0.6696.02430123823941.16015246736735
0.6796.2952164284861.17841576660604
0.6896.56859450950481.17291602918964
0.6996.83915344682061.14238298298776
0.797.10171959876921.08889902758577
0.7197.35207009055121.01843952444241
0.7297.58767773803550.939585629049573
0.7397.80821566495870.862478909095039
0.7498.01571321507190.797551140389579
0.7598.21430194354960.753369815985495
0.7698.40954866945460.735481997829734
0.7798.60744374022590.743544738294005
0.7898.8131950174410.771352759055071
0.7999.03005866702180.808119904814444
0.899.25849031154670.840755595902256
0.8199.49589070802520.857424455360777
0.8299.73712100371560.849529309650703
0.8399.97576944015750.814847543645976
0.84100.2058989183250.758021550431716
0.85100.4237717204570.6896341940186
0.86100.6289407619650.623660246233201
0.87100.8242124066150.572197597852111
0.88101.0143563006120.54074584848538
0.89101.2039785121170.525191544037379
0.9101.3954570306580.513859805775116
0.91101.587933182360.494482360268643
0.92101.7778129694190.460436508488837
0.93101.9602365520010.412677586086567
0.94102.1303359554950.355993413169024
0.95102.2837452232670.293312000056967
0.96102.4173629395430.226893760543193
0.97102.5314244439660.164788507448841
0.98102.6306046314720.118385659139002
0.99102.7167229111720.0891452633992877

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.831792170598 & 0.191369676930867 \tabularnewline
0.02 & 84.9944178520395 & 0.175595792636279 \tabularnewline
0.03 & 85.1395654182415 & 0.194380662188461 \tabularnewline
0.04 & 85.2753753289244 & 0.242040681223483 \tabularnewline
0.05 & 85.4154659779643 & 0.285712040376105 \tabularnewline
0.06 & 85.5606306920401 & 0.3088628777133 \tabularnewline
0.07 & 85.7060905323047 & 0.320925788422703 \tabularnewline
0.08 & 85.8499346817546 & 0.340781158901953 \tabularnewline
0.09 & 85.9947177373336 & 0.375956204941611 \tabularnewline
0.1 & 86.144026366193 & 0.417892164168417 \tabularnewline
0.11 & 86.2986587516244 & 0.450836000102982 \tabularnewline
0.12 & 86.4553312497136 & 0.46212271971809 \tabularnewline
0.13 & 86.6081314577451 & 0.448893712656369 \tabularnewline
0.14 & 86.7513007560218 & 0.417475193279301 \tabularnewline
0.15 & 86.8816658341433 & 0.38121594629337 \tabularnewline
0.16 & 86.9996943097435 & 0.354052031100884 \tabularnewline
0.17 & 87.1090825560285 & 0.346565372072511 \tabularnewline
0.18 & 87.2154555511924 & 0.362610555964343 \tabularnewline
0.19 & 87.3249299636591 & 0.400172011582256 \tabularnewline
0.2 & 87.4430543784692 & 0.45528367207367 \tabularnewline
0.21 & 87.5742627259676 & 0.523861989928937 \tabularnewline
0.22 & 87.7216996127571 & 0.601918456479517 \tabularnewline
0.23 & 87.8871976402096 & 0.684862121891446 \tabularnewline
0.24 & 88.0712662958998 & 0.767818916770206 \tabularnewline
0.25 & 88.273082402504 & 0.84485665300111 \tabularnewline
0.26 & 88.4905569227192 & 0.910758205610879 \tabularnewline
0.27 & 88.7205514737207 & 0.961362388428041 \tabularnewline
0.28 & 88.9592497446396 & 0.995077323368919 \tabularnewline
0.29 & 89.2026080233919 & 1.01177035153082 \tabularnewline
0.3 & 89.4467668244942 & 1.01342665440204 \tabularnewline
0.31 & 89.6883239184878 & 1.0024377938187 \tabularnewline
0.32 & 89.9244332406778 & 0.981062706803184 \tabularnewline
0.33 & 90.1527670636136 & 0.950836290192733 \tabularnewline
0.34 & 90.3714241979332 & 0.912589120952385 \tabularnewline
0.35 & 90.5788680904983 & 0.867278588065405 \tabularnewline
0.36 & 90.7739430776495 & 0.816405447400541 \tabularnewline
0.37 & 90.9559677830233 & 0.762296876054375 \tabularnewline
0.38 & 91.1248655164903 & 0.707813811018465 \tabularnewline
0.39 & 91.2812756332778 & 0.656837893599022 \tabularnewline
0.4 & 91.4265967138821 & 0.613322944706941 \tabularnewline
0.41 & 91.5629330101113 & 0.580361982635102 \tabularnewline
0.42 & 91.692939619257 & 0.560719395093442 \tabularnewline
0.43 & 91.8195829997752 & 0.555595544659823 \tabularnewline
0.44 & 91.9458498600904 & 0.564423357883643 \tabularnewline
0.45 & 92.074448932784 & 0.584741235527559 \tabularnewline
0.46 & 92.2075553046175 & 0.613505605423888 \tabularnewline
0.47 & 92.3466428187679 & 0.646383555854515 \tabularnewline
0.48 & 92.4924342802158 & 0.679812482954809 \tabularnewline
0.49 & 92.6449732672814 & 0.710713315095146 \tabularnewline
0.5 & 92.8037920264481 & 0.737399788305499 \tabularnewline
0.51 & 92.968127427118 & 0.759322079117162 \tabularnewline
0.52 & 93.1371304815994 & 0.776879834583884 \tabularnewline
0.53 & 93.3100277753308 & 0.79130422916373 \tabularnewline
0.54 & 93.4862201713746 & 0.803092237622753 \tabularnewline
0.55 & 93.6653333970945 & 0.813417868826547 \tabularnewline
0.56 & 93.8472529994312 & 0.823337709225916 \tabularnewline
0.57 & 94.0321737897387 & 0.833920326851797 \tabularnewline
0.58 & 94.2206715481431 & 0.847104492489584 \tabularnewline
0.59 & 94.4137722006725 & 0.865049591702866 \tabularnewline
0.6 & 94.6129663932809 & 0.890476846352501 \tabularnewline
0.61 & 94.8201101641608 & 0.924845974110241 \tabularnewline
0.62 & 95.0371730602798 & 0.968780535479012 \tabularnewline
0.63 & 95.2658404910468 & 1.02005773883642 \tabularnewline
0.64 & 95.5070335302087 & 1.07371858432005 \tabularnewline
0.65 & 95.7604565026318 & 1.12295830678796 \tabularnewline
0.66 & 96.0243012382394 & 1.16015246736735 \tabularnewline
0.67 & 96.295216428486 & 1.17841576660604 \tabularnewline
0.68 & 96.5685945095048 & 1.17291602918964 \tabularnewline
0.69 & 96.8391534468206 & 1.14238298298776 \tabularnewline
0.7 & 97.1017195987692 & 1.08889902758577 \tabularnewline
0.71 & 97.3520700905512 & 1.01843952444241 \tabularnewline
0.72 & 97.5876777380355 & 0.939585629049573 \tabularnewline
0.73 & 97.8082156649587 & 0.862478909095039 \tabularnewline
0.74 & 98.0157132150719 & 0.797551140389579 \tabularnewline
0.75 & 98.2143019435496 & 0.753369815985495 \tabularnewline
0.76 & 98.4095486694546 & 0.735481997829734 \tabularnewline
0.77 & 98.6074437402259 & 0.743544738294005 \tabularnewline
0.78 & 98.813195017441 & 0.771352759055071 \tabularnewline
0.79 & 99.0300586670218 & 0.808119904814444 \tabularnewline
0.8 & 99.2584903115467 & 0.840755595902256 \tabularnewline
0.81 & 99.4958907080252 & 0.857424455360777 \tabularnewline
0.82 & 99.7371210037156 & 0.849529309650703 \tabularnewline
0.83 & 99.9757694401575 & 0.814847543645976 \tabularnewline
0.84 & 100.205898918325 & 0.758021550431716 \tabularnewline
0.85 & 100.423771720457 & 0.6896341940186 \tabularnewline
0.86 & 100.628940761965 & 0.623660246233201 \tabularnewline
0.87 & 100.824212406615 & 0.572197597852111 \tabularnewline
0.88 & 101.014356300612 & 0.54074584848538 \tabularnewline
0.89 & 101.203978512117 & 0.525191544037379 \tabularnewline
0.9 & 101.395457030658 & 0.513859805775116 \tabularnewline
0.91 & 101.58793318236 & 0.494482360268643 \tabularnewline
0.92 & 101.777812969419 & 0.460436508488837 \tabularnewline
0.93 & 101.960236552001 & 0.412677586086567 \tabularnewline
0.94 & 102.130335955495 & 0.355993413169024 \tabularnewline
0.95 & 102.283745223267 & 0.293312000056967 \tabularnewline
0.96 & 102.417362939543 & 0.226893760543193 \tabularnewline
0.97 & 102.531424443966 & 0.164788507448841 \tabularnewline
0.98 & 102.630604631472 & 0.118385659139002 \tabularnewline
0.99 & 102.716722911172 & 0.0891452633992877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281838&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]84.831792170598[/C][C]0.191369676930867[/C][/ROW]
[ROW][C]0.02[/C][C]84.9944178520395[/C][C]0.175595792636279[/C][/ROW]
[ROW][C]0.03[/C][C]85.1395654182415[/C][C]0.194380662188461[/C][/ROW]
[ROW][C]0.04[/C][C]85.2753753289244[/C][C]0.242040681223483[/C][/ROW]
[ROW][C]0.05[/C][C]85.4154659779643[/C][C]0.285712040376105[/C][/ROW]
[ROW][C]0.06[/C][C]85.5606306920401[/C][C]0.3088628777133[/C][/ROW]
[ROW][C]0.07[/C][C]85.7060905323047[/C][C]0.320925788422703[/C][/ROW]
[ROW][C]0.08[/C][C]85.8499346817546[/C][C]0.340781158901953[/C][/ROW]
[ROW][C]0.09[/C][C]85.9947177373336[/C][C]0.375956204941611[/C][/ROW]
[ROW][C]0.1[/C][C]86.144026366193[/C][C]0.417892164168417[/C][/ROW]
[ROW][C]0.11[/C][C]86.2986587516244[/C][C]0.450836000102982[/C][/ROW]
[ROW][C]0.12[/C][C]86.4553312497136[/C][C]0.46212271971809[/C][/ROW]
[ROW][C]0.13[/C][C]86.6081314577451[/C][C]0.448893712656369[/C][/ROW]
[ROW][C]0.14[/C][C]86.7513007560218[/C][C]0.417475193279301[/C][/ROW]
[ROW][C]0.15[/C][C]86.8816658341433[/C][C]0.38121594629337[/C][/ROW]
[ROW][C]0.16[/C][C]86.9996943097435[/C][C]0.354052031100884[/C][/ROW]
[ROW][C]0.17[/C][C]87.1090825560285[/C][C]0.346565372072511[/C][/ROW]
[ROW][C]0.18[/C][C]87.2154555511924[/C][C]0.362610555964343[/C][/ROW]
[ROW][C]0.19[/C][C]87.3249299636591[/C][C]0.400172011582256[/C][/ROW]
[ROW][C]0.2[/C][C]87.4430543784692[/C][C]0.45528367207367[/C][/ROW]
[ROW][C]0.21[/C][C]87.5742627259676[/C][C]0.523861989928937[/C][/ROW]
[ROW][C]0.22[/C][C]87.7216996127571[/C][C]0.601918456479517[/C][/ROW]
[ROW][C]0.23[/C][C]87.8871976402096[/C][C]0.684862121891446[/C][/ROW]
[ROW][C]0.24[/C][C]88.0712662958998[/C][C]0.767818916770206[/C][/ROW]
[ROW][C]0.25[/C][C]88.273082402504[/C][C]0.84485665300111[/C][/ROW]
[ROW][C]0.26[/C][C]88.4905569227192[/C][C]0.910758205610879[/C][/ROW]
[ROW][C]0.27[/C][C]88.7205514737207[/C][C]0.961362388428041[/C][/ROW]
[ROW][C]0.28[/C][C]88.9592497446396[/C][C]0.995077323368919[/C][/ROW]
[ROW][C]0.29[/C][C]89.2026080233919[/C][C]1.01177035153082[/C][/ROW]
[ROW][C]0.3[/C][C]89.4467668244942[/C][C]1.01342665440204[/C][/ROW]
[ROW][C]0.31[/C][C]89.6883239184878[/C][C]1.0024377938187[/C][/ROW]
[ROW][C]0.32[/C][C]89.9244332406778[/C][C]0.981062706803184[/C][/ROW]
[ROW][C]0.33[/C][C]90.1527670636136[/C][C]0.950836290192733[/C][/ROW]
[ROW][C]0.34[/C][C]90.3714241979332[/C][C]0.912589120952385[/C][/ROW]
[ROW][C]0.35[/C][C]90.5788680904983[/C][C]0.867278588065405[/C][/ROW]
[ROW][C]0.36[/C][C]90.7739430776495[/C][C]0.816405447400541[/C][/ROW]
[ROW][C]0.37[/C][C]90.9559677830233[/C][C]0.762296876054375[/C][/ROW]
[ROW][C]0.38[/C][C]91.1248655164903[/C][C]0.707813811018465[/C][/ROW]
[ROW][C]0.39[/C][C]91.2812756332778[/C][C]0.656837893599022[/C][/ROW]
[ROW][C]0.4[/C][C]91.4265967138821[/C][C]0.613322944706941[/C][/ROW]
[ROW][C]0.41[/C][C]91.5629330101113[/C][C]0.580361982635102[/C][/ROW]
[ROW][C]0.42[/C][C]91.692939619257[/C][C]0.560719395093442[/C][/ROW]
[ROW][C]0.43[/C][C]91.8195829997752[/C][C]0.555595544659823[/C][/ROW]
[ROW][C]0.44[/C][C]91.9458498600904[/C][C]0.564423357883643[/C][/ROW]
[ROW][C]0.45[/C][C]92.074448932784[/C][C]0.584741235527559[/C][/ROW]
[ROW][C]0.46[/C][C]92.2075553046175[/C][C]0.613505605423888[/C][/ROW]
[ROW][C]0.47[/C][C]92.3466428187679[/C][C]0.646383555854515[/C][/ROW]
[ROW][C]0.48[/C][C]92.4924342802158[/C][C]0.679812482954809[/C][/ROW]
[ROW][C]0.49[/C][C]92.6449732672814[/C][C]0.710713315095146[/C][/ROW]
[ROW][C]0.5[/C][C]92.8037920264481[/C][C]0.737399788305499[/C][/ROW]
[ROW][C]0.51[/C][C]92.968127427118[/C][C]0.759322079117162[/C][/ROW]
[ROW][C]0.52[/C][C]93.1371304815994[/C][C]0.776879834583884[/C][/ROW]
[ROW][C]0.53[/C][C]93.3100277753308[/C][C]0.79130422916373[/C][/ROW]
[ROW][C]0.54[/C][C]93.4862201713746[/C][C]0.803092237622753[/C][/ROW]
[ROW][C]0.55[/C][C]93.6653333970945[/C][C]0.813417868826547[/C][/ROW]
[ROW][C]0.56[/C][C]93.8472529994312[/C][C]0.823337709225916[/C][/ROW]
[ROW][C]0.57[/C][C]94.0321737897387[/C][C]0.833920326851797[/C][/ROW]
[ROW][C]0.58[/C][C]94.2206715481431[/C][C]0.847104492489584[/C][/ROW]
[ROW][C]0.59[/C][C]94.4137722006725[/C][C]0.865049591702866[/C][/ROW]
[ROW][C]0.6[/C][C]94.6129663932809[/C][C]0.890476846352501[/C][/ROW]
[ROW][C]0.61[/C][C]94.8201101641608[/C][C]0.924845974110241[/C][/ROW]
[ROW][C]0.62[/C][C]95.0371730602798[/C][C]0.968780535479012[/C][/ROW]
[ROW][C]0.63[/C][C]95.2658404910468[/C][C]1.02005773883642[/C][/ROW]
[ROW][C]0.64[/C][C]95.5070335302087[/C][C]1.07371858432005[/C][/ROW]
[ROW][C]0.65[/C][C]95.7604565026318[/C][C]1.12295830678796[/C][/ROW]
[ROW][C]0.66[/C][C]96.0243012382394[/C][C]1.16015246736735[/C][/ROW]
[ROW][C]0.67[/C][C]96.295216428486[/C][C]1.17841576660604[/C][/ROW]
[ROW][C]0.68[/C][C]96.5685945095048[/C][C]1.17291602918964[/C][/ROW]
[ROW][C]0.69[/C][C]96.8391534468206[/C][C]1.14238298298776[/C][/ROW]
[ROW][C]0.7[/C][C]97.1017195987692[/C][C]1.08889902758577[/C][/ROW]
[ROW][C]0.71[/C][C]97.3520700905512[/C][C]1.01843952444241[/C][/ROW]
[ROW][C]0.72[/C][C]97.5876777380355[/C][C]0.939585629049573[/C][/ROW]
[ROW][C]0.73[/C][C]97.8082156649587[/C][C]0.862478909095039[/C][/ROW]
[ROW][C]0.74[/C][C]98.0157132150719[/C][C]0.797551140389579[/C][/ROW]
[ROW][C]0.75[/C][C]98.2143019435496[/C][C]0.753369815985495[/C][/ROW]
[ROW][C]0.76[/C][C]98.4095486694546[/C][C]0.735481997829734[/C][/ROW]
[ROW][C]0.77[/C][C]98.6074437402259[/C][C]0.743544738294005[/C][/ROW]
[ROW][C]0.78[/C][C]98.813195017441[/C][C]0.771352759055071[/C][/ROW]
[ROW][C]0.79[/C][C]99.0300586670218[/C][C]0.808119904814444[/C][/ROW]
[ROW][C]0.8[/C][C]99.2584903115467[/C][C]0.840755595902256[/C][/ROW]
[ROW][C]0.81[/C][C]99.4958907080252[/C][C]0.857424455360777[/C][/ROW]
[ROW][C]0.82[/C][C]99.7371210037156[/C][C]0.849529309650703[/C][/ROW]
[ROW][C]0.83[/C][C]99.9757694401575[/C][C]0.814847543645976[/C][/ROW]
[ROW][C]0.84[/C][C]100.205898918325[/C][C]0.758021550431716[/C][/ROW]
[ROW][C]0.85[/C][C]100.423771720457[/C][C]0.6896341940186[/C][/ROW]
[ROW][C]0.86[/C][C]100.628940761965[/C][C]0.623660246233201[/C][/ROW]
[ROW][C]0.87[/C][C]100.824212406615[/C][C]0.572197597852111[/C][/ROW]
[ROW][C]0.88[/C][C]101.014356300612[/C][C]0.54074584848538[/C][/ROW]
[ROW][C]0.89[/C][C]101.203978512117[/C][C]0.525191544037379[/C][/ROW]
[ROW][C]0.9[/C][C]101.395457030658[/C][C]0.513859805775116[/C][/ROW]
[ROW][C]0.91[/C][C]101.58793318236[/C][C]0.494482360268643[/C][/ROW]
[ROW][C]0.92[/C][C]101.777812969419[/C][C]0.460436508488837[/C][/ROW]
[ROW][C]0.93[/C][C]101.960236552001[/C][C]0.412677586086567[/C][/ROW]
[ROW][C]0.94[/C][C]102.130335955495[/C][C]0.355993413169024[/C][/ROW]
[ROW][C]0.95[/C][C]102.283745223267[/C][C]0.293312000056967[/C][/ROW]
[ROW][C]0.96[/C][C]102.417362939543[/C][C]0.226893760543193[/C][/ROW]
[ROW][C]0.97[/C][C]102.531424443966[/C][C]0.164788507448841[/C][/ROW]
[ROW][C]0.98[/C][C]102.630604631472[/C][C]0.118385659139002[/C][/ROW]
[ROW][C]0.99[/C][C]102.716722911172[/C][C]0.0891452633992877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281838&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281838&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
0.0184.8317921705980.191369676930867
0.0284.99441785203950.175595792636279
0.0385.13956541824150.194380662188461
0.0485.27537532892440.242040681223483
0.0585.41546597796430.285712040376105
0.0685.56063069204010.3088628777133
0.0785.70609053230470.320925788422703
0.0885.84993468175460.340781158901953
0.0985.99471773733360.375956204941611
0.186.1440263661930.417892164168417
0.1186.29865875162440.450836000102982
0.1286.45533124971360.46212271971809
0.1386.60813145774510.448893712656369
0.1486.75130075602180.417475193279301
0.1586.88166583414330.38121594629337
0.1686.99969430974350.354052031100884
0.1787.10908255602850.346565372072511
0.1887.21545555119240.362610555964343
0.1987.32492996365910.400172011582256
0.287.44305437846920.45528367207367
0.2187.57426272596760.523861989928937
0.2287.72169961275710.601918456479517
0.2387.88719764020960.684862121891446
0.2488.07126629589980.767818916770206
0.2588.2730824025040.84485665300111
0.2688.49055692271920.910758205610879
0.2788.72055147372070.961362388428041
0.2888.95924974463960.995077323368919
0.2989.20260802339191.01177035153082
0.389.44676682449421.01342665440204
0.3189.68832391848781.0024377938187
0.3289.92443324067780.981062706803184
0.3390.15276706361360.950836290192733
0.3490.37142419793320.912589120952385
0.3590.57886809049830.867278588065405
0.3690.77394307764950.816405447400541
0.3790.95596778302330.762296876054375
0.3891.12486551649030.707813811018465
0.3991.28127563327780.656837893599022
0.491.42659671388210.613322944706941
0.4191.56293301011130.580361982635102
0.4291.6929396192570.560719395093442
0.4391.81958299977520.555595544659823
0.4491.94584986009040.564423357883643
0.4592.0744489327840.584741235527559
0.4692.20755530461750.613505605423888
0.4792.34664281876790.646383555854515
0.4892.49243428021580.679812482954809
0.4992.64497326728140.710713315095146
0.592.80379202644810.737399788305499
0.5192.9681274271180.759322079117162
0.5293.13713048159940.776879834583884
0.5393.31002777533080.79130422916373
0.5493.48622017137460.803092237622753
0.5593.66533339709450.813417868826547
0.5693.84725299943120.823337709225916
0.5794.03217378973870.833920326851797
0.5894.22067154814310.847104492489584
0.5994.41377220067250.865049591702866
0.694.61296639328090.890476846352501
0.6194.82011016416080.924845974110241
0.6295.03717306027980.968780535479012
0.6395.26584049104681.02005773883642
0.6495.50703353020871.07371858432005
0.6595.76045650263181.12295830678796
0.6696.02430123823941.16015246736735
0.6796.2952164284861.17841576660604
0.6896.56859450950481.17291602918964
0.6996.83915344682061.14238298298776
0.797.10171959876921.08889902758577
0.7197.35207009055121.01843952444241
0.7297.58767773803550.939585629049573
0.7397.80821566495870.862478909095039
0.7498.01571321507190.797551140389579
0.7598.21430194354960.753369815985495
0.7698.40954866945460.735481997829734
0.7798.60744374022590.743544738294005
0.7898.8131950174410.771352759055071
0.7999.03005866702180.808119904814444
0.899.25849031154670.840755595902256
0.8199.49589070802520.857424455360777
0.8299.73712100371560.849529309650703
0.8399.97576944015750.814847543645976
0.84100.2058989183250.758021550431716
0.85100.4237717204570.6896341940186
0.86100.6289407619650.623660246233201
0.87100.8242124066150.572197597852111
0.88101.0143563006120.54074584848538
0.89101.2039785121170.525191544037379
0.9101.3954570306580.513859805775116
0.91101.587933182360.494482360268643
0.92101.7778129694190.460436508488837
0.93101.9602365520010.412677586086567
0.94102.1303359554950.355993413169024
0.95102.2837452232670.293312000056967
0.96102.4173629395430.226893760543193
0.97102.5314244439660.164788507448841
0.98102.6306046314720.118385659139002
0.99102.7167229111720.0891452633992877


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')