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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, 29 May 2015 14:44:57 +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/May/29/t14329071121w8mnx22gtznqra.htm/, Retrieved Wed, 01 May 2024 01:39:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279491, Retrieved Wed, 01 May 2024 01:39:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-02-12 11:53:03] [b30bdcc44403aed8ab60f5e6bd04fee3]
- RMP   [Quartiles] [] [2015-05-29 13:07:13] [b30bdcc44403aed8ab60f5e6bd04fee3]
- RM        [Harrell-Davis Quantiles] [] [2015-05-29 13:44:57] [d3245c242fac7b2d7caab09de558415e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
23
27
23
21
18
16
11
14
-3
2
26
11
11
11
3
8
8
7
3
4
-7
0
-5
5
-1
-4
4
7
6
13
20
21
37
52
59
66
73
71
69
63
68
58
50
50
50
47
60
62
63
56
38
45
39
26
25
19
14
6
4
5
-3
-5
0
-6
4
-3
14
16
17
25
25
30
51
31
31
25
35
39
48
41
47
61
55
63
45
62
55
50
52
45
36
40
32
29
24
28
27
33
33
24
26
38
32
30
26
21
21

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279491&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279491&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279491&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-6.413245456954750.937693323257509
0.02-5.596920959574470.930134910326915
0.03-4.842277088849471.02269944718553
0.04-4.140998057942361.19689883028755
0.05-3.434345824531531.40841610200261
0.06-2.688731663544631.66281393462729
0.07-1.889623017540651.93390881541129
0.08-1.040664805362992.15236829648013
0.09-0.1662180293763262.26002356118773
0.10.6957142820290892.24031082134032
0.111.507422435729332.11583041552069
0.122.243489879975151.93334236273018
0.132.896192283181411.74798413482099
0.143.474526817519821.60934625605894
0.153.999204362235171.54980251772715
0.164.496179542476441.57810500231847
0.174.990809271448221.68260890780967
0.185.503884194546121.84190437740035
0.196.049809652134352.03370791609461
0.26.636481752755862.23842384656066
0.217.266140775399362.43969034159623
0.227.936622469723372.62443059170526
0.238.642709787036732.78350849895893
0.249.377480554019362.91266313943968
0.2510.1335768499153.01266430843051
0.2610.9042609886663.08833429942069
0.2711.68408706051373.14638092120133
0.2812.46907228987593.19277113488571
0.2913.25638493808133.2307028093133
0.314.04370990282553.25970312152357
0.3114.82854321705313.27608679576692
0.3215.60766894566683.2745129771644
0.3316.37699221260783.24998593186761
0.3417.13177287322113.19980157562751
0.3517.86716927771763.12485502093604
0.3618.57890265975993.02951042865876
0.3719.26382046116252.92073752221152
0.3819.92018163518722.80628640466827
0.3920.54759326703752.69247391451145
0.421.14665741296452.58296377656394
0.4121.7184915881292.47834158761388
0.4222.2643264943762.37717008140299
0.4322.78534633292092.27800659856713
0.4423.2828371743322.18114264011899
0.4523.75858703516762.08996893507518
0.4624.21538301002282.01107061072209
0.4724.65740946957161.95305946286646
0.4825.09037756269541.92481295864373
0.4925.52129728361241.93288978045951
0.525.95791076214011.97953331124825
0.5126.40790611476282.06191019821377
0.5226.87809696346782.17256675914944
0.5327.3737663072822.30147326761329
0.5427.89833121061452.43817598957607
0.5528.4533974159792.57394827427472
0.5629.03916405146072.70356495718267
0.5729.65504018444852.82559964398282
0.5830.30027949356242.94172587599311
0.5930.97444839203483.05543370186613
0.631.67761689164383.1698356375232
0.6132.41027501638353.28637654340886
0.6233.17308552546113.40427078627677
0.6333.96663775149633.52116067711943
0.6434.79133811813623.63488720920947
0.6535.64746782238153.74460685737997
0.6636.5353046121183.85146092916712
0.6737.4551135979063.95678679460295
0.6838.40682123325974.06019832770125
0.6939.38931219513594.15672500803165
0.740.39948626622344.23587378915632
0.7141.43139284978644.28290807843121
0.7242.47583473180934.28266248824782
0.7343.52075663677384.22345788178759
0.7444.55253325963154.10159314823187
0.7545.55802205613673.92326199612588
0.7646.52702932065923.70509020513099
0.7747.45469980435483.47224790853263
0.7848.34328679107043.25566022979598
0.7949.20278958220783.08703756612849
0.850.05007961038682.99242619008572
0.8150.9064068342152.98433100481044
0.8251.79357226935943.05565824184946
0.8352.72946571052553.17981232105828
0.8453.72392718490983.3176165510173
0.8554.77586297825133.4259746693735
0.8655.87225249830283.46644471827514
0.8756.98931146771893.41098899615113
0.8858.09587806727833.24665692842063
0.8959.15919945153752.97954833749931
0.960.15358513564092.63902814677485
0.9161.07223769515872.28284062306
0.9261.94062460526752.00171012210205
0.9362.8246938338011.90984512256187
0.9463.82124858591062.07128365699232
0.9565.02115553131732.38273436983549
0.9666.46119045106332.60107613544424
0.9768.11304922965462.54581366796499
0.9869.92692320922842.27742567306479
0.9971.7636937283332.01516809044689

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -6.41324545695475 & 0.937693323257509 \tabularnewline
0.02 & -5.59692095957447 & 0.930134910326915 \tabularnewline
0.03 & -4.84227708884947 & 1.02269944718553 \tabularnewline
0.04 & -4.14099805794236 & 1.19689883028755 \tabularnewline
0.05 & -3.43434582453153 & 1.40841610200261 \tabularnewline
0.06 & -2.68873166354463 & 1.66281393462729 \tabularnewline
0.07 & -1.88962301754065 & 1.93390881541129 \tabularnewline
0.08 & -1.04066480536299 & 2.15236829648013 \tabularnewline
0.09 & -0.166218029376326 & 2.26002356118773 \tabularnewline
0.1 & 0.695714282029089 & 2.24031082134032 \tabularnewline
0.11 & 1.50742243572933 & 2.11583041552069 \tabularnewline
0.12 & 2.24348987997515 & 1.93334236273018 \tabularnewline
0.13 & 2.89619228318141 & 1.74798413482099 \tabularnewline
0.14 & 3.47452681751982 & 1.60934625605894 \tabularnewline
0.15 & 3.99920436223517 & 1.54980251772715 \tabularnewline
0.16 & 4.49617954247644 & 1.57810500231847 \tabularnewline
0.17 & 4.99080927144822 & 1.68260890780967 \tabularnewline
0.18 & 5.50388419454612 & 1.84190437740035 \tabularnewline
0.19 & 6.04980965213435 & 2.03370791609461 \tabularnewline
0.2 & 6.63648175275586 & 2.23842384656066 \tabularnewline
0.21 & 7.26614077539936 & 2.43969034159623 \tabularnewline
0.22 & 7.93662246972337 & 2.62443059170526 \tabularnewline
0.23 & 8.64270978703673 & 2.78350849895893 \tabularnewline
0.24 & 9.37748055401936 & 2.91266313943968 \tabularnewline
0.25 & 10.133576849915 & 3.01266430843051 \tabularnewline
0.26 & 10.904260988666 & 3.08833429942069 \tabularnewline
0.27 & 11.6840870605137 & 3.14638092120133 \tabularnewline
0.28 & 12.4690722898759 & 3.19277113488571 \tabularnewline
0.29 & 13.2563849380813 & 3.2307028093133 \tabularnewline
0.3 & 14.0437099028255 & 3.25970312152357 \tabularnewline
0.31 & 14.8285432170531 & 3.27608679576692 \tabularnewline
0.32 & 15.6076689456668 & 3.2745129771644 \tabularnewline
0.33 & 16.3769922126078 & 3.24998593186761 \tabularnewline
0.34 & 17.1317728732211 & 3.19980157562751 \tabularnewline
0.35 & 17.8671692777176 & 3.12485502093604 \tabularnewline
0.36 & 18.5789026597599 & 3.02951042865876 \tabularnewline
0.37 & 19.2638204611625 & 2.92073752221152 \tabularnewline
0.38 & 19.9201816351872 & 2.80628640466827 \tabularnewline
0.39 & 20.5475932670375 & 2.69247391451145 \tabularnewline
0.4 & 21.1466574129645 & 2.58296377656394 \tabularnewline
0.41 & 21.718491588129 & 2.47834158761388 \tabularnewline
0.42 & 22.264326494376 & 2.37717008140299 \tabularnewline
0.43 & 22.7853463329209 & 2.27800659856713 \tabularnewline
0.44 & 23.282837174332 & 2.18114264011899 \tabularnewline
0.45 & 23.7585870351676 & 2.08996893507518 \tabularnewline
0.46 & 24.2153830100228 & 2.01107061072209 \tabularnewline
0.47 & 24.6574094695716 & 1.95305946286646 \tabularnewline
0.48 & 25.0903775626954 & 1.92481295864373 \tabularnewline
0.49 & 25.5212972836124 & 1.93288978045951 \tabularnewline
0.5 & 25.9579107621401 & 1.97953331124825 \tabularnewline
0.51 & 26.4079061147628 & 2.06191019821377 \tabularnewline
0.52 & 26.8780969634678 & 2.17256675914944 \tabularnewline
0.53 & 27.373766307282 & 2.30147326761329 \tabularnewline
0.54 & 27.8983312106145 & 2.43817598957607 \tabularnewline
0.55 & 28.453397415979 & 2.57394827427472 \tabularnewline
0.56 & 29.0391640514607 & 2.70356495718267 \tabularnewline
0.57 & 29.6550401844485 & 2.82559964398282 \tabularnewline
0.58 & 30.3002794935624 & 2.94172587599311 \tabularnewline
0.59 & 30.9744483920348 & 3.05543370186613 \tabularnewline
0.6 & 31.6776168916438 & 3.1698356375232 \tabularnewline
0.61 & 32.4102750163835 & 3.28637654340886 \tabularnewline
0.62 & 33.1730855254611 & 3.40427078627677 \tabularnewline
0.63 & 33.9666377514963 & 3.52116067711943 \tabularnewline
0.64 & 34.7913381181362 & 3.63488720920947 \tabularnewline
0.65 & 35.6474678223815 & 3.74460685737997 \tabularnewline
0.66 & 36.535304612118 & 3.85146092916712 \tabularnewline
0.67 & 37.455113597906 & 3.95678679460295 \tabularnewline
0.68 & 38.4068212332597 & 4.06019832770125 \tabularnewline
0.69 & 39.3893121951359 & 4.15672500803165 \tabularnewline
0.7 & 40.3994862662234 & 4.23587378915632 \tabularnewline
0.71 & 41.4313928497864 & 4.28290807843121 \tabularnewline
0.72 & 42.4758347318093 & 4.28266248824782 \tabularnewline
0.73 & 43.5207566367738 & 4.22345788178759 \tabularnewline
0.74 & 44.5525332596315 & 4.10159314823187 \tabularnewline
0.75 & 45.5580220561367 & 3.92326199612588 \tabularnewline
0.76 & 46.5270293206592 & 3.70509020513099 \tabularnewline
0.77 & 47.4546998043548 & 3.47224790853263 \tabularnewline
0.78 & 48.3432867910704 & 3.25566022979598 \tabularnewline
0.79 & 49.2027895822078 & 3.08703756612849 \tabularnewline
0.8 & 50.0500796103868 & 2.99242619008572 \tabularnewline
0.81 & 50.906406834215 & 2.98433100481044 \tabularnewline
0.82 & 51.7935722693594 & 3.05565824184946 \tabularnewline
0.83 & 52.7294657105255 & 3.17981232105828 \tabularnewline
0.84 & 53.7239271849098 & 3.3176165510173 \tabularnewline
0.85 & 54.7758629782513 & 3.4259746693735 \tabularnewline
0.86 & 55.8722524983028 & 3.46644471827514 \tabularnewline
0.87 & 56.9893114677189 & 3.41098899615113 \tabularnewline
0.88 & 58.0958780672783 & 3.24665692842063 \tabularnewline
0.89 & 59.1591994515375 & 2.97954833749931 \tabularnewline
0.9 & 60.1535851356409 & 2.63902814677485 \tabularnewline
0.91 & 61.0722376951587 & 2.28284062306 \tabularnewline
0.92 & 61.9406246052675 & 2.00171012210205 \tabularnewline
0.93 & 62.824693833801 & 1.90984512256187 \tabularnewline
0.94 & 63.8212485859106 & 2.07128365699232 \tabularnewline
0.95 & 65.0211555313173 & 2.38273436983549 \tabularnewline
0.96 & 66.4611904510633 & 2.60107613544424 \tabularnewline
0.97 & 68.1130492296546 & 2.54581366796499 \tabularnewline
0.98 & 69.9269232092284 & 2.27742567306479 \tabularnewline
0.99 & 71.763693728333 & 2.01516809044689 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279491&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]-6.41324545695475[/C][C]0.937693323257509[/C][/ROW]
[ROW][C]0.02[/C][C]-5.59692095957447[/C][C]0.930134910326915[/C][/ROW]
[ROW][C]0.03[/C][C]-4.84227708884947[/C][C]1.02269944718553[/C][/ROW]
[ROW][C]0.04[/C][C]-4.14099805794236[/C][C]1.19689883028755[/C][/ROW]
[ROW][C]0.05[/C][C]-3.43434582453153[/C][C]1.40841610200261[/C][/ROW]
[ROW][C]0.06[/C][C]-2.68873166354463[/C][C]1.66281393462729[/C][/ROW]
[ROW][C]0.07[/C][C]-1.88962301754065[/C][C]1.93390881541129[/C][/ROW]
[ROW][C]0.08[/C][C]-1.04066480536299[/C][C]2.15236829648013[/C][/ROW]
[ROW][C]0.09[/C][C]-0.166218029376326[/C][C]2.26002356118773[/C][/ROW]
[ROW][C]0.1[/C][C]0.695714282029089[/C][C]2.24031082134032[/C][/ROW]
[ROW][C]0.11[/C][C]1.50742243572933[/C][C]2.11583041552069[/C][/ROW]
[ROW][C]0.12[/C][C]2.24348987997515[/C][C]1.93334236273018[/C][/ROW]
[ROW][C]0.13[/C][C]2.89619228318141[/C][C]1.74798413482099[/C][/ROW]
[ROW][C]0.14[/C][C]3.47452681751982[/C][C]1.60934625605894[/C][/ROW]
[ROW][C]0.15[/C][C]3.99920436223517[/C][C]1.54980251772715[/C][/ROW]
[ROW][C]0.16[/C][C]4.49617954247644[/C][C]1.57810500231847[/C][/ROW]
[ROW][C]0.17[/C][C]4.99080927144822[/C][C]1.68260890780967[/C][/ROW]
[ROW][C]0.18[/C][C]5.50388419454612[/C][C]1.84190437740035[/C][/ROW]
[ROW][C]0.19[/C][C]6.04980965213435[/C][C]2.03370791609461[/C][/ROW]
[ROW][C]0.2[/C][C]6.63648175275586[/C][C]2.23842384656066[/C][/ROW]
[ROW][C]0.21[/C][C]7.26614077539936[/C][C]2.43969034159623[/C][/ROW]
[ROW][C]0.22[/C][C]7.93662246972337[/C][C]2.62443059170526[/C][/ROW]
[ROW][C]0.23[/C][C]8.64270978703673[/C][C]2.78350849895893[/C][/ROW]
[ROW][C]0.24[/C][C]9.37748055401936[/C][C]2.91266313943968[/C][/ROW]
[ROW][C]0.25[/C][C]10.133576849915[/C][C]3.01266430843051[/C][/ROW]
[ROW][C]0.26[/C][C]10.904260988666[/C][C]3.08833429942069[/C][/ROW]
[ROW][C]0.27[/C][C]11.6840870605137[/C][C]3.14638092120133[/C][/ROW]
[ROW][C]0.28[/C][C]12.4690722898759[/C][C]3.19277113488571[/C][/ROW]
[ROW][C]0.29[/C][C]13.2563849380813[/C][C]3.2307028093133[/C][/ROW]
[ROW][C]0.3[/C][C]14.0437099028255[/C][C]3.25970312152357[/C][/ROW]
[ROW][C]0.31[/C][C]14.8285432170531[/C][C]3.27608679576692[/C][/ROW]
[ROW][C]0.32[/C][C]15.6076689456668[/C][C]3.2745129771644[/C][/ROW]
[ROW][C]0.33[/C][C]16.3769922126078[/C][C]3.24998593186761[/C][/ROW]
[ROW][C]0.34[/C][C]17.1317728732211[/C][C]3.19980157562751[/C][/ROW]
[ROW][C]0.35[/C][C]17.8671692777176[/C][C]3.12485502093604[/C][/ROW]
[ROW][C]0.36[/C][C]18.5789026597599[/C][C]3.02951042865876[/C][/ROW]
[ROW][C]0.37[/C][C]19.2638204611625[/C][C]2.92073752221152[/C][/ROW]
[ROW][C]0.38[/C][C]19.9201816351872[/C][C]2.80628640466827[/C][/ROW]
[ROW][C]0.39[/C][C]20.5475932670375[/C][C]2.69247391451145[/C][/ROW]
[ROW][C]0.4[/C][C]21.1466574129645[/C][C]2.58296377656394[/C][/ROW]
[ROW][C]0.41[/C][C]21.718491588129[/C][C]2.47834158761388[/C][/ROW]
[ROW][C]0.42[/C][C]22.264326494376[/C][C]2.37717008140299[/C][/ROW]
[ROW][C]0.43[/C][C]22.7853463329209[/C][C]2.27800659856713[/C][/ROW]
[ROW][C]0.44[/C][C]23.282837174332[/C][C]2.18114264011899[/C][/ROW]
[ROW][C]0.45[/C][C]23.7585870351676[/C][C]2.08996893507518[/C][/ROW]
[ROW][C]0.46[/C][C]24.2153830100228[/C][C]2.01107061072209[/C][/ROW]
[ROW][C]0.47[/C][C]24.6574094695716[/C][C]1.95305946286646[/C][/ROW]
[ROW][C]0.48[/C][C]25.0903775626954[/C][C]1.92481295864373[/C][/ROW]
[ROW][C]0.49[/C][C]25.5212972836124[/C][C]1.93288978045951[/C][/ROW]
[ROW][C]0.5[/C][C]25.9579107621401[/C][C]1.97953331124825[/C][/ROW]
[ROW][C]0.51[/C][C]26.4079061147628[/C][C]2.06191019821377[/C][/ROW]
[ROW][C]0.52[/C][C]26.8780969634678[/C][C]2.17256675914944[/C][/ROW]
[ROW][C]0.53[/C][C]27.373766307282[/C][C]2.30147326761329[/C][/ROW]
[ROW][C]0.54[/C][C]27.8983312106145[/C][C]2.43817598957607[/C][/ROW]
[ROW][C]0.55[/C][C]28.453397415979[/C][C]2.57394827427472[/C][/ROW]
[ROW][C]0.56[/C][C]29.0391640514607[/C][C]2.70356495718267[/C][/ROW]
[ROW][C]0.57[/C][C]29.6550401844485[/C][C]2.82559964398282[/C][/ROW]
[ROW][C]0.58[/C][C]30.3002794935624[/C][C]2.94172587599311[/C][/ROW]
[ROW][C]0.59[/C][C]30.9744483920348[/C][C]3.05543370186613[/C][/ROW]
[ROW][C]0.6[/C][C]31.6776168916438[/C][C]3.1698356375232[/C][/ROW]
[ROW][C]0.61[/C][C]32.4102750163835[/C][C]3.28637654340886[/C][/ROW]
[ROW][C]0.62[/C][C]33.1730855254611[/C][C]3.40427078627677[/C][/ROW]
[ROW][C]0.63[/C][C]33.9666377514963[/C][C]3.52116067711943[/C][/ROW]
[ROW][C]0.64[/C][C]34.7913381181362[/C][C]3.63488720920947[/C][/ROW]
[ROW][C]0.65[/C][C]35.6474678223815[/C][C]3.74460685737997[/C][/ROW]
[ROW][C]0.66[/C][C]36.535304612118[/C][C]3.85146092916712[/C][/ROW]
[ROW][C]0.67[/C][C]37.455113597906[/C][C]3.95678679460295[/C][/ROW]
[ROW][C]0.68[/C][C]38.4068212332597[/C][C]4.06019832770125[/C][/ROW]
[ROW][C]0.69[/C][C]39.3893121951359[/C][C]4.15672500803165[/C][/ROW]
[ROW][C]0.7[/C][C]40.3994862662234[/C][C]4.23587378915632[/C][/ROW]
[ROW][C]0.71[/C][C]41.4313928497864[/C][C]4.28290807843121[/C][/ROW]
[ROW][C]0.72[/C][C]42.4758347318093[/C][C]4.28266248824782[/C][/ROW]
[ROW][C]0.73[/C][C]43.5207566367738[/C][C]4.22345788178759[/C][/ROW]
[ROW][C]0.74[/C][C]44.5525332596315[/C][C]4.10159314823187[/C][/ROW]
[ROW][C]0.75[/C][C]45.5580220561367[/C][C]3.92326199612588[/C][/ROW]
[ROW][C]0.76[/C][C]46.5270293206592[/C][C]3.70509020513099[/C][/ROW]
[ROW][C]0.77[/C][C]47.4546998043548[/C][C]3.47224790853263[/C][/ROW]
[ROW][C]0.78[/C][C]48.3432867910704[/C][C]3.25566022979598[/C][/ROW]
[ROW][C]0.79[/C][C]49.2027895822078[/C][C]3.08703756612849[/C][/ROW]
[ROW][C]0.8[/C][C]50.0500796103868[/C][C]2.99242619008572[/C][/ROW]
[ROW][C]0.81[/C][C]50.906406834215[/C][C]2.98433100481044[/C][/ROW]
[ROW][C]0.82[/C][C]51.7935722693594[/C][C]3.05565824184946[/C][/ROW]
[ROW][C]0.83[/C][C]52.7294657105255[/C][C]3.17981232105828[/C][/ROW]
[ROW][C]0.84[/C][C]53.7239271849098[/C][C]3.3176165510173[/C][/ROW]
[ROW][C]0.85[/C][C]54.7758629782513[/C][C]3.4259746693735[/C][/ROW]
[ROW][C]0.86[/C][C]55.8722524983028[/C][C]3.46644471827514[/C][/ROW]
[ROW][C]0.87[/C][C]56.9893114677189[/C][C]3.41098899615113[/C][/ROW]
[ROW][C]0.88[/C][C]58.0958780672783[/C][C]3.24665692842063[/C][/ROW]
[ROW][C]0.89[/C][C]59.1591994515375[/C][C]2.97954833749931[/C][/ROW]
[ROW][C]0.9[/C][C]60.1535851356409[/C][C]2.63902814677485[/C][/ROW]
[ROW][C]0.91[/C][C]61.0722376951587[/C][C]2.28284062306[/C][/ROW]
[ROW][C]0.92[/C][C]61.9406246052675[/C][C]2.00171012210205[/C][/ROW]
[ROW][C]0.93[/C][C]62.824693833801[/C][C]1.90984512256187[/C][/ROW]
[ROW][C]0.94[/C][C]63.8212485859106[/C][C]2.07128365699232[/C][/ROW]
[ROW][C]0.95[/C][C]65.0211555313173[/C][C]2.38273436983549[/C][/ROW]
[ROW][C]0.96[/C][C]66.4611904510633[/C][C]2.60107613544424[/C][/ROW]
[ROW][C]0.97[/C][C]68.1130492296546[/C][C]2.54581366796499[/C][/ROW]
[ROW][C]0.98[/C][C]69.9269232092284[/C][C]2.27742567306479[/C][/ROW]
[ROW][C]0.99[/C][C]71.763693728333[/C][C]2.01516809044689[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279491&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279491&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
0.01-6.413245456954750.937693323257509
0.02-5.596920959574470.930134910326915
0.03-4.842277088849471.02269944718553
0.04-4.140998057942361.19689883028755
0.05-3.434345824531531.40841610200261
0.06-2.688731663544631.66281393462729
0.07-1.889623017540651.93390881541129
0.08-1.040664805362992.15236829648013
0.09-0.1662180293763262.26002356118773
0.10.6957142820290892.24031082134032
0.111.507422435729332.11583041552069
0.122.243489879975151.93334236273018
0.132.896192283181411.74798413482099
0.143.474526817519821.60934625605894
0.153.999204362235171.54980251772715
0.164.496179542476441.57810500231847
0.174.990809271448221.68260890780967
0.185.503884194546121.84190437740035
0.196.049809652134352.03370791609461
0.26.636481752755862.23842384656066
0.217.266140775399362.43969034159623
0.227.936622469723372.62443059170526
0.238.642709787036732.78350849895893
0.249.377480554019362.91266313943968
0.2510.1335768499153.01266430843051
0.2610.9042609886663.08833429942069
0.2711.68408706051373.14638092120133
0.2812.46907228987593.19277113488571
0.2913.25638493808133.2307028093133
0.314.04370990282553.25970312152357
0.3114.82854321705313.27608679576692
0.3215.60766894566683.2745129771644
0.3316.37699221260783.24998593186761
0.3417.13177287322113.19980157562751
0.3517.86716927771763.12485502093604
0.3618.57890265975993.02951042865876
0.3719.26382046116252.92073752221152
0.3819.92018163518722.80628640466827
0.3920.54759326703752.69247391451145
0.421.14665741296452.58296377656394
0.4121.7184915881292.47834158761388
0.4222.2643264943762.37717008140299
0.4322.78534633292092.27800659856713
0.4423.2828371743322.18114264011899
0.4523.75858703516762.08996893507518
0.4624.21538301002282.01107061072209
0.4724.65740946957161.95305946286646
0.4825.09037756269541.92481295864373
0.4925.52129728361241.93288978045951
0.525.95791076214011.97953331124825
0.5126.40790611476282.06191019821377
0.5226.87809696346782.17256675914944
0.5327.3737663072822.30147326761329
0.5427.89833121061452.43817598957607
0.5528.4533974159792.57394827427472
0.5629.03916405146072.70356495718267
0.5729.65504018444852.82559964398282
0.5830.30027949356242.94172587599311
0.5930.97444839203483.05543370186613
0.631.67761689164383.1698356375232
0.6132.41027501638353.28637654340886
0.6233.17308552546113.40427078627677
0.6333.96663775149633.52116067711943
0.6434.79133811813623.63488720920947
0.6535.64746782238153.74460685737997
0.6636.5353046121183.85146092916712
0.6737.4551135979063.95678679460295
0.6838.40682123325974.06019832770125
0.6939.38931219513594.15672500803165
0.740.39948626622344.23587378915632
0.7141.43139284978644.28290807843121
0.7242.47583473180934.28266248824782
0.7343.52075663677384.22345788178759
0.7444.55253325963154.10159314823187
0.7545.55802205613673.92326199612588
0.7646.52702932065923.70509020513099
0.7747.45469980435483.47224790853263
0.7848.34328679107043.25566022979598
0.7949.20278958220783.08703756612849
0.850.05007961038682.99242619008572
0.8150.9064068342152.98433100481044
0.8251.79357226935943.05565824184946
0.8352.72946571052553.17981232105828
0.8453.72392718490983.3176165510173
0.8554.77586297825133.4259746693735
0.8655.87225249830283.46644471827514
0.8756.98931146771893.41098899615113
0.8858.09587806727833.24665692842063
0.8959.15919945153752.97954833749931
0.960.15358513564092.63902814677485
0.9161.07223769515872.28284062306
0.9261.94062460526752.00171012210205
0.9362.8246938338011.90984512256187
0.9463.82124858591062.07128365699232
0.9565.02115553131732.38273436983549
0.9666.46119045106332.60107613544424
0.9768.11304922965462.54581366796499
0.9869.92692320922842.27742567306479
0.9971.7636937283332.01516809044689


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')