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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, 07 Oct 2012 06:06:48 -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/07/t1349604545zploen84qm0bhcv.htm/, Retrieved Sat, 04 May 2024 06:33:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172812, Retrieved Sat, 04 May 2024 06:33:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [Prijs citroenen] [2012-10-07 10:06:48] [725db2a88b228374c3964e39efbe73da] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,94
1,82
1,8
1,79
1,79
1,78
1,81
1,84
1,87
1,87
1,87
1,84
1,82
1,83
1,83
1,82
1,83
1,87
1,88
1,9
1,98
2,03
2,14
2,42
2,73
2,84
2,85
2,94
3,06
3,24
3,18
3,01
2,87
2,73
2,63
2,39
2,26
2,11
2,01
1,99
1,96
1,93
1,98
2,07
2,24
2,31
2,23
2,26
2,28
2,3
2,33
2,26
2,24
2,47
2,55
2,89
3,21
3,21
2,92
2,68
2,4
2,28
2,24
2,2
2,18
2,23
2,24
2,25
2,23
2,25
2,23
2,21

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=172812&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=172812&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172812&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
0.011.782856561059110.00821716077397379
0.021.787113323910770.0073550012586134
0.031.791732907696610.00850630782422361
0.041.796440617573840.0103666689864006
0.051.801219723048750.0116106533385655
0.061.805958503080570.0118778016467328
0.071.810469530567130.0114203456304279
0.081.81461775741930.0107201979535436
0.091.818386780545810.0102386605890993
0.11.821867621186610.0102700619932584
0.111.825211509261980.0109108340118788
0.121.82858226788590.0121059220187701
0.131.832123833696090.0137274352956533
0.141.835944603815730.0156266604923103
0.151.840114853714810.017674419500104
0.161.844672845613990.0197747694352697
0.171.84963595617920.0218935421686602
0.181.85501353404180.0240678318869314
0.191.86081823907840.0263756481671638
0.21.867073010564280.0289190371106134
0.211.873812042011870.0317609903793123
0.221.881076046434270.0349008905146244
0.231.888903997661180.0382716047762242
0.241.897324663463130.0417605696345931
0.251.906351162824210.0452431861528946
0.261.915980552476370.0486282465368328
0.271.926198578330670.0518864644490568
0.281.936987900991230.0550470310186489
0.291.948336916081870.0582086723790837
0.31.960246056702910.0614836859418916
0.311.972729171437430.0649760558095009
0.321.98580893161460.068721378089286
0.331.999506810240870.0726752904233431
0.342.013829565489740.0766857202531782
0.352.028755034744510.0805183708914454
0.362.044220246899780.0838798729639655
0.372.060114408735150.0864606696484408
0.382.076278372517710.0879764359349893
0.392.092510986722750.0882094826816316
0.42.108581530950460.0870270698150686
0.412.124246466226930.084409213053631
0.422.1392681455520.0804468578833494
0.432.153432987352710.0753240439174746
0.442.16656688753490.0693042670888847
0.452.1785462352330.0626959738929004
0.462.189303663807840.0558267414842704
0.472.198828464343720.0490049737035214
0.482.207162285362590.0425164767644673
0.492.214391249524990.0365858489559628
0.52.220635892157450.0313884571868781
0.512.226040368777990.0270283203580112
0.522.230762225956730.0235731916478795
0.532.234963739982440.0210358303493022
0.542.238805466171030.0194016839563488
0.552.242442268529830.0186247907061662
0.562.246021762340550.0186508977127881
0.572.249684832639080.0194189254473485
0.582.253567706257120.0208896424055491
0.592.257804959031730.0230415954175779
0.62.262532829475940.0258757723455495
0.612.267892275184230.0294130170746364
0.622.274031330427040.0336818166300956
0.632.281106475124250.0387086950159889
0.642.289282868963890.0445228524257085
0.652.298733396318930.051127717528552
0.662.309636470043090.0585282258074714
0.672.32217244167180.0666904825432398
0.682.336518292798970.0755694284224368
0.692.352840123745610.0850771689630249
0.72.371282942617920.0950791852552834
0.712.391957527066880.105370694384037
0.722.414924758163020.115667111490804
0.732.440178755731250.125602974161449
0.742.467631155126410.134728140673418
0.752.497099602312680.142558549834665
0.762.528303640681420.14861514364865
0.772.560870415870770.152483726673595
0.782.594351145345440.153884429833302
0.792.628247543339480.152699741758219
0.82.662046002704940.149004980748415
0.812.695256832615960.143049381742124
0.822.727456301912570.13523919115174
0.832.758330111863730.126118347848946
0.842.787717269438730.116352238344221
0.852.815652242076790.106728885608929
0.862.842400363641010.0981571463713007
0.872.868477061040920.0916140302331482
0.882.894636402257870.0880101813026375
0.892.92180977118910.0879219088633871
0.92.950972986278670.0912591617073981
0.912.982924620152880.0970054804416887
0.923.017979830432290.103141545851511
0.933.055636804516310.106763863623014
0.943.094361468492220.104581296798502
0.953.131723611665530.0940743043754411
0.963.16508574379710.0752460374776075
0.973.192703705869440.0521431330862134
0.983.214395546394180.0329972166093922
0.993.230555547647220.026739561369676

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.78285656105911 & 0.00821716077397379 \tabularnewline
0.02 & 1.78711332391077 & 0.0073550012586134 \tabularnewline
0.03 & 1.79173290769661 & 0.00850630782422361 \tabularnewline
0.04 & 1.79644061757384 & 0.0103666689864006 \tabularnewline
0.05 & 1.80121972304875 & 0.0116106533385655 \tabularnewline
0.06 & 1.80595850308057 & 0.0118778016467328 \tabularnewline
0.07 & 1.81046953056713 & 0.0114203456304279 \tabularnewline
0.08 & 1.8146177574193 & 0.0107201979535436 \tabularnewline
0.09 & 1.81838678054581 & 0.0102386605890993 \tabularnewline
0.1 & 1.82186762118661 & 0.0102700619932584 \tabularnewline
0.11 & 1.82521150926198 & 0.0109108340118788 \tabularnewline
0.12 & 1.8285822678859 & 0.0121059220187701 \tabularnewline
0.13 & 1.83212383369609 & 0.0137274352956533 \tabularnewline
0.14 & 1.83594460381573 & 0.0156266604923103 \tabularnewline
0.15 & 1.84011485371481 & 0.017674419500104 \tabularnewline
0.16 & 1.84467284561399 & 0.0197747694352697 \tabularnewline
0.17 & 1.8496359561792 & 0.0218935421686602 \tabularnewline
0.18 & 1.8550135340418 & 0.0240678318869314 \tabularnewline
0.19 & 1.8608182390784 & 0.0263756481671638 \tabularnewline
0.2 & 1.86707301056428 & 0.0289190371106134 \tabularnewline
0.21 & 1.87381204201187 & 0.0317609903793123 \tabularnewline
0.22 & 1.88107604643427 & 0.0349008905146244 \tabularnewline
0.23 & 1.88890399766118 & 0.0382716047762242 \tabularnewline
0.24 & 1.89732466346313 & 0.0417605696345931 \tabularnewline
0.25 & 1.90635116282421 & 0.0452431861528946 \tabularnewline
0.26 & 1.91598055247637 & 0.0486282465368328 \tabularnewline
0.27 & 1.92619857833067 & 0.0518864644490568 \tabularnewline
0.28 & 1.93698790099123 & 0.0550470310186489 \tabularnewline
0.29 & 1.94833691608187 & 0.0582086723790837 \tabularnewline
0.3 & 1.96024605670291 & 0.0614836859418916 \tabularnewline
0.31 & 1.97272917143743 & 0.0649760558095009 \tabularnewline
0.32 & 1.9858089316146 & 0.068721378089286 \tabularnewline
0.33 & 1.99950681024087 & 0.0726752904233431 \tabularnewline
0.34 & 2.01382956548974 & 0.0766857202531782 \tabularnewline
0.35 & 2.02875503474451 & 0.0805183708914454 \tabularnewline
0.36 & 2.04422024689978 & 0.0838798729639655 \tabularnewline
0.37 & 2.06011440873515 & 0.0864606696484408 \tabularnewline
0.38 & 2.07627837251771 & 0.0879764359349893 \tabularnewline
0.39 & 2.09251098672275 & 0.0882094826816316 \tabularnewline
0.4 & 2.10858153095046 & 0.0870270698150686 \tabularnewline
0.41 & 2.12424646622693 & 0.084409213053631 \tabularnewline
0.42 & 2.139268145552 & 0.0804468578833494 \tabularnewline
0.43 & 2.15343298735271 & 0.0753240439174746 \tabularnewline
0.44 & 2.1665668875349 & 0.0693042670888847 \tabularnewline
0.45 & 2.178546235233 & 0.0626959738929004 \tabularnewline
0.46 & 2.18930366380784 & 0.0558267414842704 \tabularnewline
0.47 & 2.19882846434372 & 0.0490049737035214 \tabularnewline
0.48 & 2.20716228536259 & 0.0425164767644673 \tabularnewline
0.49 & 2.21439124952499 & 0.0365858489559628 \tabularnewline
0.5 & 2.22063589215745 & 0.0313884571868781 \tabularnewline
0.51 & 2.22604036877799 & 0.0270283203580112 \tabularnewline
0.52 & 2.23076222595673 & 0.0235731916478795 \tabularnewline
0.53 & 2.23496373998244 & 0.0210358303493022 \tabularnewline
0.54 & 2.23880546617103 & 0.0194016839563488 \tabularnewline
0.55 & 2.24244226852983 & 0.0186247907061662 \tabularnewline
0.56 & 2.24602176234055 & 0.0186508977127881 \tabularnewline
0.57 & 2.24968483263908 & 0.0194189254473485 \tabularnewline
0.58 & 2.25356770625712 & 0.0208896424055491 \tabularnewline
0.59 & 2.25780495903173 & 0.0230415954175779 \tabularnewline
0.6 & 2.26253282947594 & 0.0258757723455495 \tabularnewline
0.61 & 2.26789227518423 & 0.0294130170746364 \tabularnewline
0.62 & 2.27403133042704 & 0.0336818166300956 \tabularnewline
0.63 & 2.28110647512425 & 0.0387086950159889 \tabularnewline
0.64 & 2.28928286896389 & 0.0445228524257085 \tabularnewline
0.65 & 2.29873339631893 & 0.051127717528552 \tabularnewline
0.66 & 2.30963647004309 & 0.0585282258074714 \tabularnewline
0.67 & 2.3221724416718 & 0.0666904825432398 \tabularnewline
0.68 & 2.33651829279897 & 0.0755694284224368 \tabularnewline
0.69 & 2.35284012374561 & 0.0850771689630249 \tabularnewline
0.7 & 2.37128294261792 & 0.0950791852552834 \tabularnewline
0.71 & 2.39195752706688 & 0.105370694384037 \tabularnewline
0.72 & 2.41492475816302 & 0.115667111490804 \tabularnewline
0.73 & 2.44017875573125 & 0.125602974161449 \tabularnewline
0.74 & 2.46763115512641 & 0.134728140673418 \tabularnewline
0.75 & 2.49709960231268 & 0.142558549834665 \tabularnewline
0.76 & 2.52830364068142 & 0.14861514364865 \tabularnewline
0.77 & 2.56087041587077 & 0.152483726673595 \tabularnewline
0.78 & 2.59435114534544 & 0.153884429833302 \tabularnewline
0.79 & 2.62824754333948 & 0.152699741758219 \tabularnewline
0.8 & 2.66204600270494 & 0.149004980748415 \tabularnewline
0.81 & 2.69525683261596 & 0.143049381742124 \tabularnewline
0.82 & 2.72745630191257 & 0.13523919115174 \tabularnewline
0.83 & 2.75833011186373 & 0.126118347848946 \tabularnewline
0.84 & 2.78771726943873 & 0.116352238344221 \tabularnewline
0.85 & 2.81565224207679 & 0.106728885608929 \tabularnewline
0.86 & 2.84240036364101 & 0.0981571463713007 \tabularnewline
0.87 & 2.86847706104092 & 0.0916140302331482 \tabularnewline
0.88 & 2.89463640225787 & 0.0880101813026375 \tabularnewline
0.89 & 2.9218097711891 & 0.0879219088633871 \tabularnewline
0.9 & 2.95097298627867 & 0.0912591617073981 \tabularnewline
0.91 & 2.98292462015288 & 0.0970054804416887 \tabularnewline
0.92 & 3.01797983043229 & 0.103141545851511 \tabularnewline
0.93 & 3.05563680451631 & 0.106763863623014 \tabularnewline
0.94 & 3.09436146849222 & 0.104581296798502 \tabularnewline
0.95 & 3.13172361166553 & 0.0940743043754411 \tabularnewline
0.96 & 3.1650857437971 & 0.0752460374776075 \tabularnewline
0.97 & 3.19270370586944 & 0.0521431330862134 \tabularnewline
0.98 & 3.21439554639418 & 0.0329972166093922 \tabularnewline
0.99 & 3.23055554764722 & 0.026739561369676 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172812&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1.78285656105911[/C][C]0.00821716077397379[/C][/ROW]
[ROW][C]0.02[/C][C]1.78711332391077[/C][C]0.0073550012586134[/C][/ROW]
[ROW][C]0.03[/C][C]1.79173290769661[/C][C]0.00850630782422361[/C][/ROW]
[ROW][C]0.04[/C][C]1.79644061757384[/C][C]0.0103666689864006[/C][/ROW]
[ROW][C]0.05[/C][C]1.80121972304875[/C][C]0.0116106533385655[/C][/ROW]
[ROW][C]0.06[/C][C]1.80595850308057[/C][C]0.0118778016467328[/C][/ROW]
[ROW][C]0.07[/C][C]1.81046953056713[/C][C]0.0114203456304279[/C][/ROW]
[ROW][C]0.08[/C][C]1.8146177574193[/C][C]0.0107201979535436[/C][/ROW]
[ROW][C]0.09[/C][C]1.81838678054581[/C][C]0.0102386605890993[/C][/ROW]
[ROW][C]0.1[/C][C]1.82186762118661[/C][C]0.0102700619932584[/C][/ROW]
[ROW][C]0.11[/C][C]1.82521150926198[/C][C]0.0109108340118788[/C][/ROW]
[ROW][C]0.12[/C][C]1.8285822678859[/C][C]0.0121059220187701[/C][/ROW]
[ROW][C]0.13[/C][C]1.83212383369609[/C][C]0.0137274352956533[/C][/ROW]
[ROW][C]0.14[/C][C]1.83594460381573[/C][C]0.0156266604923103[/C][/ROW]
[ROW][C]0.15[/C][C]1.84011485371481[/C][C]0.017674419500104[/C][/ROW]
[ROW][C]0.16[/C][C]1.84467284561399[/C][C]0.0197747694352697[/C][/ROW]
[ROW][C]0.17[/C][C]1.8496359561792[/C][C]0.0218935421686602[/C][/ROW]
[ROW][C]0.18[/C][C]1.8550135340418[/C][C]0.0240678318869314[/C][/ROW]
[ROW][C]0.19[/C][C]1.8608182390784[/C][C]0.0263756481671638[/C][/ROW]
[ROW][C]0.2[/C][C]1.86707301056428[/C][C]0.0289190371106134[/C][/ROW]
[ROW][C]0.21[/C][C]1.87381204201187[/C][C]0.0317609903793123[/C][/ROW]
[ROW][C]0.22[/C][C]1.88107604643427[/C][C]0.0349008905146244[/C][/ROW]
[ROW][C]0.23[/C][C]1.88890399766118[/C][C]0.0382716047762242[/C][/ROW]
[ROW][C]0.24[/C][C]1.89732466346313[/C][C]0.0417605696345931[/C][/ROW]
[ROW][C]0.25[/C][C]1.90635116282421[/C][C]0.0452431861528946[/C][/ROW]
[ROW][C]0.26[/C][C]1.91598055247637[/C][C]0.0486282465368328[/C][/ROW]
[ROW][C]0.27[/C][C]1.92619857833067[/C][C]0.0518864644490568[/C][/ROW]
[ROW][C]0.28[/C][C]1.93698790099123[/C][C]0.0550470310186489[/C][/ROW]
[ROW][C]0.29[/C][C]1.94833691608187[/C][C]0.0582086723790837[/C][/ROW]
[ROW][C]0.3[/C][C]1.96024605670291[/C][C]0.0614836859418916[/C][/ROW]
[ROW][C]0.31[/C][C]1.97272917143743[/C][C]0.0649760558095009[/C][/ROW]
[ROW][C]0.32[/C][C]1.9858089316146[/C][C]0.068721378089286[/C][/ROW]
[ROW][C]0.33[/C][C]1.99950681024087[/C][C]0.0726752904233431[/C][/ROW]
[ROW][C]0.34[/C][C]2.01382956548974[/C][C]0.0766857202531782[/C][/ROW]
[ROW][C]0.35[/C][C]2.02875503474451[/C][C]0.0805183708914454[/C][/ROW]
[ROW][C]0.36[/C][C]2.04422024689978[/C][C]0.0838798729639655[/C][/ROW]
[ROW][C]0.37[/C][C]2.06011440873515[/C][C]0.0864606696484408[/C][/ROW]
[ROW][C]0.38[/C][C]2.07627837251771[/C][C]0.0879764359349893[/C][/ROW]
[ROW][C]0.39[/C][C]2.09251098672275[/C][C]0.0882094826816316[/C][/ROW]
[ROW][C]0.4[/C][C]2.10858153095046[/C][C]0.0870270698150686[/C][/ROW]
[ROW][C]0.41[/C][C]2.12424646622693[/C][C]0.084409213053631[/C][/ROW]
[ROW][C]0.42[/C][C]2.139268145552[/C][C]0.0804468578833494[/C][/ROW]
[ROW][C]0.43[/C][C]2.15343298735271[/C][C]0.0753240439174746[/C][/ROW]
[ROW][C]0.44[/C][C]2.1665668875349[/C][C]0.0693042670888847[/C][/ROW]
[ROW][C]0.45[/C][C]2.178546235233[/C][C]0.0626959738929004[/C][/ROW]
[ROW][C]0.46[/C][C]2.18930366380784[/C][C]0.0558267414842704[/C][/ROW]
[ROW][C]0.47[/C][C]2.19882846434372[/C][C]0.0490049737035214[/C][/ROW]
[ROW][C]0.48[/C][C]2.20716228536259[/C][C]0.0425164767644673[/C][/ROW]
[ROW][C]0.49[/C][C]2.21439124952499[/C][C]0.0365858489559628[/C][/ROW]
[ROW][C]0.5[/C][C]2.22063589215745[/C][C]0.0313884571868781[/C][/ROW]
[ROW][C]0.51[/C][C]2.22604036877799[/C][C]0.0270283203580112[/C][/ROW]
[ROW][C]0.52[/C][C]2.23076222595673[/C][C]0.0235731916478795[/C][/ROW]
[ROW][C]0.53[/C][C]2.23496373998244[/C][C]0.0210358303493022[/C][/ROW]
[ROW][C]0.54[/C][C]2.23880546617103[/C][C]0.0194016839563488[/C][/ROW]
[ROW][C]0.55[/C][C]2.24244226852983[/C][C]0.0186247907061662[/C][/ROW]
[ROW][C]0.56[/C][C]2.24602176234055[/C][C]0.0186508977127881[/C][/ROW]
[ROW][C]0.57[/C][C]2.24968483263908[/C][C]0.0194189254473485[/C][/ROW]
[ROW][C]0.58[/C][C]2.25356770625712[/C][C]0.0208896424055491[/C][/ROW]
[ROW][C]0.59[/C][C]2.25780495903173[/C][C]0.0230415954175779[/C][/ROW]
[ROW][C]0.6[/C][C]2.26253282947594[/C][C]0.0258757723455495[/C][/ROW]
[ROW][C]0.61[/C][C]2.26789227518423[/C][C]0.0294130170746364[/C][/ROW]
[ROW][C]0.62[/C][C]2.27403133042704[/C][C]0.0336818166300956[/C][/ROW]
[ROW][C]0.63[/C][C]2.28110647512425[/C][C]0.0387086950159889[/C][/ROW]
[ROW][C]0.64[/C][C]2.28928286896389[/C][C]0.0445228524257085[/C][/ROW]
[ROW][C]0.65[/C][C]2.29873339631893[/C][C]0.051127717528552[/C][/ROW]
[ROW][C]0.66[/C][C]2.30963647004309[/C][C]0.0585282258074714[/C][/ROW]
[ROW][C]0.67[/C][C]2.3221724416718[/C][C]0.0666904825432398[/C][/ROW]
[ROW][C]0.68[/C][C]2.33651829279897[/C][C]0.0755694284224368[/C][/ROW]
[ROW][C]0.69[/C][C]2.35284012374561[/C][C]0.0850771689630249[/C][/ROW]
[ROW][C]0.7[/C][C]2.37128294261792[/C][C]0.0950791852552834[/C][/ROW]
[ROW][C]0.71[/C][C]2.39195752706688[/C][C]0.105370694384037[/C][/ROW]
[ROW][C]0.72[/C][C]2.41492475816302[/C][C]0.115667111490804[/C][/ROW]
[ROW][C]0.73[/C][C]2.44017875573125[/C][C]0.125602974161449[/C][/ROW]
[ROW][C]0.74[/C][C]2.46763115512641[/C][C]0.134728140673418[/C][/ROW]
[ROW][C]0.75[/C][C]2.49709960231268[/C][C]0.142558549834665[/C][/ROW]
[ROW][C]0.76[/C][C]2.52830364068142[/C][C]0.14861514364865[/C][/ROW]
[ROW][C]0.77[/C][C]2.56087041587077[/C][C]0.152483726673595[/C][/ROW]
[ROW][C]0.78[/C][C]2.59435114534544[/C][C]0.153884429833302[/C][/ROW]
[ROW][C]0.79[/C][C]2.62824754333948[/C][C]0.152699741758219[/C][/ROW]
[ROW][C]0.8[/C][C]2.66204600270494[/C][C]0.149004980748415[/C][/ROW]
[ROW][C]0.81[/C][C]2.69525683261596[/C][C]0.143049381742124[/C][/ROW]
[ROW][C]0.82[/C][C]2.72745630191257[/C][C]0.13523919115174[/C][/ROW]
[ROW][C]0.83[/C][C]2.75833011186373[/C][C]0.126118347848946[/C][/ROW]
[ROW][C]0.84[/C][C]2.78771726943873[/C][C]0.116352238344221[/C][/ROW]
[ROW][C]0.85[/C][C]2.81565224207679[/C][C]0.106728885608929[/C][/ROW]
[ROW][C]0.86[/C][C]2.84240036364101[/C][C]0.0981571463713007[/C][/ROW]
[ROW][C]0.87[/C][C]2.86847706104092[/C][C]0.0916140302331482[/C][/ROW]
[ROW][C]0.88[/C][C]2.89463640225787[/C][C]0.0880101813026375[/C][/ROW]
[ROW][C]0.89[/C][C]2.9218097711891[/C][C]0.0879219088633871[/C][/ROW]
[ROW][C]0.9[/C][C]2.95097298627867[/C][C]0.0912591617073981[/C][/ROW]
[ROW][C]0.91[/C][C]2.98292462015288[/C][C]0.0970054804416887[/C][/ROW]
[ROW][C]0.92[/C][C]3.01797983043229[/C][C]0.103141545851511[/C][/ROW]
[ROW][C]0.93[/C][C]3.05563680451631[/C][C]0.106763863623014[/C][/ROW]
[ROW][C]0.94[/C][C]3.09436146849222[/C][C]0.104581296798502[/C][/ROW]
[ROW][C]0.95[/C][C]3.13172361166553[/C][C]0.0940743043754411[/C][/ROW]
[ROW][C]0.96[/C][C]3.1650857437971[/C][C]0.0752460374776075[/C][/ROW]
[ROW][C]0.97[/C][C]3.19270370586944[/C][C]0.0521431330862134[/C][/ROW]
[ROW][C]0.98[/C][C]3.21439554639418[/C][C]0.0329972166093922[/C][/ROW]
[ROW][C]0.99[/C][C]3.23055554764722[/C][C]0.026739561369676[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172812&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172812&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.782856561059110.00821716077397379
0.021.787113323910770.0073550012586134
0.031.791732907696610.00850630782422361
0.041.796440617573840.0103666689864006
0.051.801219723048750.0116106533385655
0.061.805958503080570.0118778016467328
0.071.810469530567130.0114203456304279
0.081.81461775741930.0107201979535436
0.091.818386780545810.0102386605890993
0.11.821867621186610.0102700619932584
0.111.825211509261980.0109108340118788
0.121.82858226788590.0121059220187701
0.131.832123833696090.0137274352956533
0.141.835944603815730.0156266604923103
0.151.840114853714810.017674419500104
0.161.844672845613990.0197747694352697
0.171.84963595617920.0218935421686602
0.181.85501353404180.0240678318869314
0.191.86081823907840.0263756481671638
0.21.867073010564280.0289190371106134
0.211.873812042011870.0317609903793123
0.221.881076046434270.0349008905146244
0.231.888903997661180.0382716047762242
0.241.897324663463130.0417605696345931
0.251.906351162824210.0452431861528946
0.261.915980552476370.0486282465368328
0.271.926198578330670.0518864644490568
0.281.936987900991230.0550470310186489
0.291.948336916081870.0582086723790837
0.31.960246056702910.0614836859418916
0.311.972729171437430.0649760558095009
0.321.98580893161460.068721378089286
0.331.999506810240870.0726752904233431
0.342.013829565489740.0766857202531782
0.352.028755034744510.0805183708914454
0.362.044220246899780.0838798729639655
0.372.060114408735150.0864606696484408
0.382.076278372517710.0879764359349893
0.392.092510986722750.0882094826816316
0.42.108581530950460.0870270698150686
0.412.124246466226930.084409213053631
0.422.1392681455520.0804468578833494
0.432.153432987352710.0753240439174746
0.442.16656688753490.0693042670888847
0.452.1785462352330.0626959738929004
0.462.189303663807840.0558267414842704
0.472.198828464343720.0490049737035214
0.482.207162285362590.0425164767644673
0.492.214391249524990.0365858489559628
0.52.220635892157450.0313884571868781
0.512.226040368777990.0270283203580112
0.522.230762225956730.0235731916478795
0.532.234963739982440.0210358303493022
0.542.238805466171030.0194016839563488
0.552.242442268529830.0186247907061662
0.562.246021762340550.0186508977127881
0.572.249684832639080.0194189254473485
0.582.253567706257120.0208896424055491
0.592.257804959031730.0230415954175779
0.62.262532829475940.0258757723455495
0.612.267892275184230.0294130170746364
0.622.274031330427040.0336818166300956
0.632.281106475124250.0387086950159889
0.642.289282868963890.0445228524257085
0.652.298733396318930.051127717528552
0.662.309636470043090.0585282258074714
0.672.32217244167180.0666904825432398
0.682.336518292798970.0755694284224368
0.692.352840123745610.0850771689630249
0.72.371282942617920.0950791852552834
0.712.391957527066880.105370694384037
0.722.414924758163020.115667111490804
0.732.440178755731250.125602974161449
0.742.467631155126410.134728140673418
0.752.497099602312680.142558549834665
0.762.528303640681420.14861514364865
0.772.560870415870770.152483726673595
0.782.594351145345440.153884429833302
0.792.628247543339480.152699741758219
0.82.662046002704940.149004980748415
0.812.695256832615960.143049381742124
0.822.727456301912570.13523919115174
0.832.758330111863730.126118347848946
0.842.787717269438730.116352238344221
0.852.815652242076790.106728885608929
0.862.842400363641010.0981571463713007
0.872.868477061040920.0916140302331482
0.882.894636402257870.0880101813026375
0.892.92180977118910.0879219088633871
0.92.950972986278670.0912591617073981
0.912.982924620152880.0970054804416887
0.923.017979830432290.103141545851511
0.933.055636804516310.106763863623014
0.943.094361468492220.104581296798502
0.953.131723611665530.0940743043754411
0.963.16508574379710.0752460374776075
0.973.192703705869440.0521431330862134
0.983.214395546394180.0329972166093922
0.993.230555547647220.026739561369676


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')