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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 computationMon, 30 Dec 2013 08:31:02 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/30/t1388410321ewsxjwpkpwptqd4.htm/, Retrieved Sat, 20 Apr 2024 04:41:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232675, Retrieved Sat, 20 Apr 2024 04:41:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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] [] [2013-12-30 13:31:02] [790f0636b450c832b3696ec959e2e52b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20,89
21,04
21,07
21,12
21,25
21,24
21,24
21,22
21,29
21,25
21,15
21,16
21,16
21,52
21,59
21,6
21,68
21,67
21,67
21,65
21,74
21,72
21,84
21,94
21,94
21,95
21,96
22,1
22,13
22,18
22,18
22,27
22,3
22,04
22,05
22,06
22,06
22,06
21,97
22,03
22,08
22,13
22,13
22,4
22,4
22,12
22,22
22,14
22,14
22,19
22,29
22,24
22,26
22,29
22,29
22,29
22,29
22,35
22,39
22,43
22,43
22,11
22,12
22,05
22,05
22,08
22,08
22,09
22,09
22,24
22,25
22,24
22,24
22,25
22,28
22,23
22,29
22,31
22,31
22,31
22,39
22,42
22,42
22,42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232675&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232675&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232675&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0120.94027815440840.11443835637287
0.0221.0050120321470.0784655325123666
0.0321.0576933831940.0592785848824805
0.0421.09551388149970.0517017254457756
0.0521.12383626369440.0481686628001606
0.0621.14711526138910.0471934794770408
0.0721.16797539767690.0492254080501951
0.0821.18813513141790.0543493337861305
0.0921.20896169126190.0628546086246681
0.121.2316710136340.0753775643707365
0.1121.25735749405650.0920245602971484
0.1221.28688576453730.111619531800379
0.1321.32068932270970.131687575992392
0.1421.35859061188130.149241365943658
0.1521.39976222176130.161748894212219
0.1621.44287812614340.167717135695907
0.1721.48641040341920.167230563009181
0.1821.52896565716170.161693867985741
0.1921.56954999208030.153405026944262
0.221.60769204961740.144755610566686
0.2121.6434125412980.137777646095139
0.2221.67707864705250.133427401243979
0.2321.70920707098050.13164365774231
0.2421.74027882477180.131567385632792
0.2521.77060981574220.131873875871824
0.2621.80029521029550.131402508871779
0.2721.82922191685460.129301301817737
0.2821.85712810292180.125183482604017
0.2921.8836830777150.119016871966618
0.321.90856368030880.111172443104424
0.3121.93151131064650.102156612880739
0.3221.95236329208380.0925440299763622
0.3321.9710603483670.0828184482088122
0.3421.98763687790890.0733732182095835
0.3522.00220210725830.0645406003896537
0.3622.01491892676140.0564744350055582
0.3722.02598462442590.0493318934949953
0.3822.03561514496570.0431395492290062
0.3922.04403273613580.0379664157766303
0.422.05145612954290.0337989552197051
0.4122.05809249965430.0306023016335824
0.4222.06413091216210.0282983966067996
0.4322.06973741401060.0267273945874056
0.4422.07505211540970.0258167573521426
0.4522.08018854412860.0253740938522377
0.4622.0852353091480.0252485817559038
0.4722.09025981582760.0253959291241277
0.4822.09531351233210.0257174943023023
0.4922.10043794818240.0261926649267569
0.522.10567079029870.0268115815074261
0.5122.1110508720520.0276180355848116
0.5222.1166213720560.0286345447741844
0.5322.12243037589070.0299250228753222
0.5422.12852840292280.0314837516432865
0.5522.13496298016520.0332997062383049
0.5622.14177095389360.0353308194817165
0.5722.1489698274420.037376829230542
0.5822.15654984806490.0392844383245925
0.5922.16446869520770.0408924494272586
0.622.17265035989870.0419947883209684
0.6122.18098915019580.042455141689771
0.6222.18935880793690.0421646517183936
0.6322.19762565790470.0411478175492627
0.6422.20566376020240.0394945524540214
0.6522.21336942753360.0372984415492877
0.6622.22067237527870.0348227059349832
0.6722.22754126907790.0322520445982085
0.6822.2339824701170.029827926279207
0.6922.24003217016570.027686412572469
0.722.24574357081450.025928800034154
0.7122.25117195999130.0245158916495176
0.7222.25636116571980.0233476562567447
0.7322.26133472035760.0222736137228973
0.7422.26609411913820.021164741711394
0.7522.27062498279890.0199129373782575
0.7622.27491010453410.0185273272243911
0.7722.27894675677130.0170581949055742
0.7822.28276469961560.0157028219583302
0.7922.28644129747760.0146588030737783
0.822.29011086510980.0142412174109064
0.8122.29396628985370.014686139550884
0.8222.29825142524710.0161982122844127
0.8322.30324240286510.0187915620008384
0.8422.30921549701920.0223440013769642
0.8522.31640024492230.0265856987406204
0.8622.32492119445010.0309904131496119
0.8722.3347402713620.0348591998219101
0.8822.34562089766590.0374291464226596
0.8922.35713730976920.0380772811979708
0.922.36874070062240.0365193359302224
0.9122.3798681173440.0330157617465425
0.9222.39005428517760.0282422090125109
0.9322.39900330875010.0230207459618183
0.9422.4066071965370.0180171331861861
0.9522.41293479923630.013586254736096
0.9622.41820132829180.0100278536463778
0.9722.42265650488110.00761063804283131
0.9822.42633800934240.00573793933765674
0.9922.42890309870610.00297869082909457

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.9402781544084 & 0.11443835637287 \tabularnewline
0.02 & 21.005012032147 & 0.0784655325123666 \tabularnewline
0.03 & 21.057693383194 & 0.0592785848824805 \tabularnewline
0.04 & 21.0955138814997 & 0.0517017254457756 \tabularnewline
0.05 & 21.1238362636944 & 0.0481686628001606 \tabularnewline
0.06 & 21.1471152613891 & 0.0471934794770408 \tabularnewline
0.07 & 21.1679753976769 & 0.0492254080501951 \tabularnewline
0.08 & 21.1881351314179 & 0.0543493337861305 \tabularnewline
0.09 & 21.2089616912619 & 0.0628546086246681 \tabularnewline
0.1 & 21.231671013634 & 0.0753775643707365 \tabularnewline
0.11 & 21.2573574940565 & 0.0920245602971484 \tabularnewline
0.12 & 21.2868857645373 & 0.111619531800379 \tabularnewline
0.13 & 21.3206893227097 & 0.131687575992392 \tabularnewline
0.14 & 21.3585906118813 & 0.149241365943658 \tabularnewline
0.15 & 21.3997622217613 & 0.161748894212219 \tabularnewline
0.16 & 21.4428781261434 & 0.167717135695907 \tabularnewline
0.17 & 21.4864104034192 & 0.167230563009181 \tabularnewline
0.18 & 21.5289656571617 & 0.161693867985741 \tabularnewline
0.19 & 21.5695499920803 & 0.153405026944262 \tabularnewline
0.2 & 21.6076920496174 & 0.144755610566686 \tabularnewline
0.21 & 21.643412541298 & 0.137777646095139 \tabularnewline
0.22 & 21.6770786470525 & 0.133427401243979 \tabularnewline
0.23 & 21.7092070709805 & 0.13164365774231 \tabularnewline
0.24 & 21.7402788247718 & 0.131567385632792 \tabularnewline
0.25 & 21.7706098157422 & 0.131873875871824 \tabularnewline
0.26 & 21.8002952102955 & 0.131402508871779 \tabularnewline
0.27 & 21.8292219168546 & 0.129301301817737 \tabularnewline
0.28 & 21.8571281029218 & 0.125183482604017 \tabularnewline
0.29 & 21.883683077715 & 0.119016871966618 \tabularnewline
0.3 & 21.9085636803088 & 0.111172443104424 \tabularnewline
0.31 & 21.9315113106465 & 0.102156612880739 \tabularnewline
0.32 & 21.9523632920838 & 0.0925440299763622 \tabularnewline
0.33 & 21.971060348367 & 0.0828184482088122 \tabularnewline
0.34 & 21.9876368779089 & 0.0733732182095835 \tabularnewline
0.35 & 22.0022021072583 & 0.0645406003896537 \tabularnewline
0.36 & 22.0149189267614 & 0.0564744350055582 \tabularnewline
0.37 & 22.0259846244259 & 0.0493318934949953 \tabularnewline
0.38 & 22.0356151449657 & 0.0431395492290062 \tabularnewline
0.39 & 22.0440327361358 & 0.0379664157766303 \tabularnewline
0.4 & 22.0514561295429 & 0.0337989552197051 \tabularnewline
0.41 & 22.0580924996543 & 0.0306023016335824 \tabularnewline
0.42 & 22.0641309121621 & 0.0282983966067996 \tabularnewline
0.43 & 22.0697374140106 & 0.0267273945874056 \tabularnewline
0.44 & 22.0750521154097 & 0.0258167573521426 \tabularnewline
0.45 & 22.0801885441286 & 0.0253740938522377 \tabularnewline
0.46 & 22.085235309148 & 0.0252485817559038 \tabularnewline
0.47 & 22.0902598158276 & 0.0253959291241277 \tabularnewline
0.48 & 22.0953135123321 & 0.0257174943023023 \tabularnewline
0.49 & 22.1004379481824 & 0.0261926649267569 \tabularnewline
0.5 & 22.1056707902987 & 0.0268115815074261 \tabularnewline
0.51 & 22.111050872052 & 0.0276180355848116 \tabularnewline
0.52 & 22.116621372056 & 0.0286345447741844 \tabularnewline
0.53 & 22.1224303758907 & 0.0299250228753222 \tabularnewline
0.54 & 22.1285284029228 & 0.0314837516432865 \tabularnewline
0.55 & 22.1349629801652 & 0.0332997062383049 \tabularnewline
0.56 & 22.1417709538936 & 0.0353308194817165 \tabularnewline
0.57 & 22.148969827442 & 0.037376829230542 \tabularnewline
0.58 & 22.1565498480649 & 0.0392844383245925 \tabularnewline
0.59 & 22.1644686952077 & 0.0408924494272586 \tabularnewline
0.6 & 22.1726503598987 & 0.0419947883209684 \tabularnewline
0.61 & 22.1809891501958 & 0.042455141689771 \tabularnewline
0.62 & 22.1893588079369 & 0.0421646517183936 \tabularnewline
0.63 & 22.1976256579047 & 0.0411478175492627 \tabularnewline
0.64 & 22.2056637602024 & 0.0394945524540214 \tabularnewline
0.65 & 22.2133694275336 & 0.0372984415492877 \tabularnewline
0.66 & 22.2206723752787 & 0.0348227059349832 \tabularnewline
0.67 & 22.2275412690779 & 0.0322520445982085 \tabularnewline
0.68 & 22.233982470117 & 0.029827926279207 \tabularnewline
0.69 & 22.2400321701657 & 0.027686412572469 \tabularnewline
0.7 & 22.2457435708145 & 0.025928800034154 \tabularnewline
0.71 & 22.2511719599913 & 0.0245158916495176 \tabularnewline
0.72 & 22.2563611657198 & 0.0233476562567447 \tabularnewline
0.73 & 22.2613347203576 & 0.0222736137228973 \tabularnewline
0.74 & 22.2660941191382 & 0.021164741711394 \tabularnewline
0.75 & 22.2706249827989 & 0.0199129373782575 \tabularnewline
0.76 & 22.2749101045341 & 0.0185273272243911 \tabularnewline
0.77 & 22.2789467567713 & 0.0170581949055742 \tabularnewline
0.78 & 22.2827646996156 & 0.0157028219583302 \tabularnewline
0.79 & 22.2864412974776 & 0.0146588030737783 \tabularnewline
0.8 & 22.2901108651098 & 0.0142412174109064 \tabularnewline
0.81 & 22.2939662898537 & 0.014686139550884 \tabularnewline
0.82 & 22.2982514252471 & 0.0161982122844127 \tabularnewline
0.83 & 22.3032424028651 & 0.0187915620008384 \tabularnewline
0.84 & 22.3092154970192 & 0.0223440013769642 \tabularnewline
0.85 & 22.3164002449223 & 0.0265856987406204 \tabularnewline
0.86 & 22.3249211944501 & 0.0309904131496119 \tabularnewline
0.87 & 22.334740271362 & 0.0348591998219101 \tabularnewline
0.88 & 22.3456208976659 & 0.0374291464226596 \tabularnewline
0.89 & 22.3571373097692 & 0.0380772811979708 \tabularnewline
0.9 & 22.3687407006224 & 0.0365193359302224 \tabularnewline
0.91 & 22.379868117344 & 0.0330157617465425 \tabularnewline
0.92 & 22.3900542851776 & 0.0282422090125109 \tabularnewline
0.93 & 22.3990033087501 & 0.0230207459618183 \tabularnewline
0.94 & 22.406607196537 & 0.0180171331861861 \tabularnewline
0.95 & 22.4129347992363 & 0.013586254736096 \tabularnewline
0.96 & 22.4182013282918 & 0.0100278536463778 \tabularnewline
0.97 & 22.4226565048811 & 0.00761063804283131 \tabularnewline
0.98 & 22.4263380093424 & 0.00573793933765674 \tabularnewline
0.99 & 22.4289030987061 & 0.00297869082909457 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232675&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]20.9402781544084[/C][C]0.11443835637287[/C][/ROW]
[ROW][C]0.02[/C][C]21.005012032147[/C][C]0.0784655325123666[/C][/ROW]
[ROW][C]0.03[/C][C]21.057693383194[/C][C]0.0592785848824805[/C][/ROW]
[ROW][C]0.04[/C][C]21.0955138814997[/C][C]0.0517017254457756[/C][/ROW]
[ROW][C]0.05[/C][C]21.1238362636944[/C][C]0.0481686628001606[/C][/ROW]
[ROW][C]0.06[/C][C]21.1471152613891[/C][C]0.0471934794770408[/C][/ROW]
[ROW][C]0.07[/C][C]21.1679753976769[/C][C]0.0492254080501951[/C][/ROW]
[ROW][C]0.08[/C][C]21.1881351314179[/C][C]0.0543493337861305[/C][/ROW]
[ROW][C]0.09[/C][C]21.2089616912619[/C][C]0.0628546086246681[/C][/ROW]
[ROW][C]0.1[/C][C]21.231671013634[/C][C]0.0753775643707365[/C][/ROW]
[ROW][C]0.11[/C][C]21.2573574940565[/C][C]0.0920245602971484[/C][/ROW]
[ROW][C]0.12[/C][C]21.2868857645373[/C][C]0.111619531800379[/C][/ROW]
[ROW][C]0.13[/C][C]21.3206893227097[/C][C]0.131687575992392[/C][/ROW]
[ROW][C]0.14[/C][C]21.3585906118813[/C][C]0.149241365943658[/C][/ROW]
[ROW][C]0.15[/C][C]21.3997622217613[/C][C]0.161748894212219[/C][/ROW]
[ROW][C]0.16[/C][C]21.4428781261434[/C][C]0.167717135695907[/C][/ROW]
[ROW][C]0.17[/C][C]21.4864104034192[/C][C]0.167230563009181[/C][/ROW]
[ROW][C]0.18[/C][C]21.5289656571617[/C][C]0.161693867985741[/C][/ROW]
[ROW][C]0.19[/C][C]21.5695499920803[/C][C]0.153405026944262[/C][/ROW]
[ROW][C]0.2[/C][C]21.6076920496174[/C][C]0.144755610566686[/C][/ROW]
[ROW][C]0.21[/C][C]21.643412541298[/C][C]0.137777646095139[/C][/ROW]
[ROW][C]0.22[/C][C]21.6770786470525[/C][C]0.133427401243979[/C][/ROW]
[ROW][C]0.23[/C][C]21.7092070709805[/C][C]0.13164365774231[/C][/ROW]
[ROW][C]0.24[/C][C]21.7402788247718[/C][C]0.131567385632792[/C][/ROW]
[ROW][C]0.25[/C][C]21.7706098157422[/C][C]0.131873875871824[/C][/ROW]
[ROW][C]0.26[/C][C]21.8002952102955[/C][C]0.131402508871779[/C][/ROW]
[ROW][C]0.27[/C][C]21.8292219168546[/C][C]0.129301301817737[/C][/ROW]
[ROW][C]0.28[/C][C]21.8571281029218[/C][C]0.125183482604017[/C][/ROW]
[ROW][C]0.29[/C][C]21.883683077715[/C][C]0.119016871966618[/C][/ROW]
[ROW][C]0.3[/C][C]21.9085636803088[/C][C]0.111172443104424[/C][/ROW]
[ROW][C]0.31[/C][C]21.9315113106465[/C][C]0.102156612880739[/C][/ROW]
[ROW][C]0.32[/C][C]21.9523632920838[/C][C]0.0925440299763622[/C][/ROW]
[ROW][C]0.33[/C][C]21.971060348367[/C][C]0.0828184482088122[/C][/ROW]
[ROW][C]0.34[/C][C]21.9876368779089[/C][C]0.0733732182095835[/C][/ROW]
[ROW][C]0.35[/C][C]22.0022021072583[/C][C]0.0645406003896537[/C][/ROW]
[ROW][C]0.36[/C][C]22.0149189267614[/C][C]0.0564744350055582[/C][/ROW]
[ROW][C]0.37[/C][C]22.0259846244259[/C][C]0.0493318934949953[/C][/ROW]
[ROW][C]0.38[/C][C]22.0356151449657[/C][C]0.0431395492290062[/C][/ROW]
[ROW][C]0.39[/C][C]22.0440327361358[/C][C]0.0379664157766303[/C][/ROW]
[ROW][C]0.4[/C][C]22.0514561295429[/C][C]0.0337989552197051[/C][/ROW]
[ROW][C]0.41[/C][C]22.0580924996543[/C][C]0.0306023016335824[/C][/ROW]
[ROW][C]0.42[/C][C]22.0641309121621[/C][C]0.0282983966067996[/C][/ROW]
[ROW][C]0.43[/C][C]22.0697374140106[/C][C]0.0267273945874056[/C][/ROW]
[ROW][C]0.44[/C][C]22.0750521154097[/C][C]0.0258167573521426[/C][/ROW]
[ROW][C]0.45[/C][C]22.0801885441286[/C][C]0.0253740938522377[/C][/ROW]
[ROW][C]0.46[/C][C]22.085235309148[/C][C]0.0252485817559038[/C][/ROW]
[ROW][C]0.47[/C][C]22.0902598158276[/C][C]0.0253959291241277[/C][/ROW]
[ROW][C]0.48[/C][C]22.0953135123321[/C][C]0.0257174943023023[/C][/ROW]
[ROW][C]0.49[/C][C]22.1004379481824[/C][C]0.0261926649267569[/C][/ROW]
[ROW][C]0.5[/C][C]22.1056707902987[/C][C]0.0268115815074261[/C][/ROW]
[ROW][C]0.51[/C][C]22.111050872052[/C][C]0.0276180355848116[/C][/ROW]
[ROW][C]0.52[/C][C]22.116621372056[/C][C]0.0286345447741844[/C][/ROW]
[ROW][C]0.53[/C][C]22.1224303758907[/C][C]0.0299250228753222[/C][/ROW]
[ROW][C]0.54[/C][C]22.1285284029228[/C][C]0.0314837516432865[/C][/ROW]
[ROW][C]0.55[/C][C]22.1349629801652[/C][C]0.0332997062383049[/C][/ROW]
[ROW][C]0.56[/C][C]22.1417709538936[/C][C]0.0353308194817165[/C][/ROW]
[ROW][C]0.57[/C][C]22.148969827442[/C][C]0.037376829230542[/C][/ROW]
[ROW][C]0.58[/C][C]22.1565498480649[/C][C]0.0392844383245925[/C][/ROW]
[ROW][C]0.59[/C][C]22.1644686952077[/C][C]0.0408924494272586[/C][/ROW]
[ROW][C]0.6[/C][C]22.1726503598987[/C][C]0.0419947883209684[/C][/ROW]
[ROW][C]0.61[/C][C]22.1809891501958[/C][C]0.042455141689771[/C][/ROW]
[ROW][C]0.62[/C][C]22.1893588079369[/C][C]0.0421646517183936[/C][/ROW]
[ROW][C]0.63[/C][C]22.1976256579047[/C][C]0.0411478175492627[/C][/ROW]
[ROW][C]0.64[/C][C]22.2056637602024[/C][C]0.0394945524540214[/C][/ROW]
[ROW][C]0.65[/C][C]22.2133694275336[/C][C]0.0372984415492877[/C][/ROW]
[ROW][C]0.66[/C][C]22.2206723752787[/C][C]0.0348227059349832[/C][/ROW]
[ROW][C]0.67[/C][C]22.2275412690779[/C][C]0.0322520445982085[/C][/ROW]
[ROW][C]0.68[/C][C]22.233982470117[/C][C]0.029827926279207[/C][/ROW]
[ROW][C]0.69[/C][C]22.2400321701657[/C][C]0.027686412572469[/C][/ROW]
[ROW][C]0.7[/C][C]22.2457435708145[/C][C]0.025928800034154[/C][/ROW]
[ROW][C]0.71[/C][C]22.2511719599913[/C][C]0.0245158916495176[/C][/ROW]
[ROW][C]0.72[/C][C]22.2563611657198[/C][C]0.0233476562567447[/C][/ROW]
[ROW][C]0.73[/C][C]22.2613347203576[/C][C]0.0222736137228973[/C][/ROW]
[ROW][C]0.74[/C][C]22.2660941191382[/C][C]0.021164741711394[/C][/ROW]
[ROW][C]0.75[/C][C]22.2706249827989[/C][C]0.0199129373782575[/C][/ROW]
[ROW][C]0.76[/C][C]22.2749101045341[/C][C]0.0185273272243911[/C][/ROW]
[ROW][C]0.77[/C][C]22.2789467567713[/C][C]0.0170581949055742[/C][/ROW]
[ROW][C]0.78[/C][C]22.2827646996156[/C][C]0.0157028219583302[/C][/ROW]
[ROW][C]0.79[/C][C]22.2864412974776[/C][C]0.0146588030737783[/C][/ROW]
[ROW][C]0.8[/C][C]22.2901108651098[/C][C]0.0142412174109064[/C][/ROW]
[ROW][C]0.81[/C][C]22.2939662898537[/C][C]0.014686139550884[/C][/ROW]
[ROW][C]0.82[/C][C]22.2982514252471[/C][C]0.0161982122844127[/C][/ROW]
[ROW][C]0.83[/C][C]22.3032424028651[/C][C]0.0187915620008384[/C][/ROW]
[ROW][C]0.84[/C][C]22.3092154970192[/C][C]0.0223440013769642[/C][/ROW]
[ROW][C]0.85[/C][C]22.3164002449223[/C][C]0.0265856987406204[/C][/ROW]
[ROW][C]0.86[/C][C]22.3249211944501[/C][C]0.0309904131496119[/C][/ROW]
[ROW][C]0.87[/C][C]22.334740271362[/C][C]0.0348591998219101[/C][/ROW]
[ROW][C]0.88[/C][C]22.3456208976659[/C][C]0.0374291464226596[/C][/ROW]
[ROW][C]0.89[/C][C]22.3571373097692[/C][C]0.0380772811979708[/C][/ROW]
[ROW][C]0.9[/C][C]22.3687407006224[/C][C]0.0365193359302224[/C][/ROW]
[ROW][C]0.91[/C][C]22.379868117344[/C][C]0.0330157617465425[/C][/ROW]
[ROW][C]0.92[/C][C]22.3900542851776[/C][C]0.0282422090125109[/C][/ROW]
[ROW][C]0.93[/C][C]22.3990033087501[/C][C]0.0230207459618183[/C][/ROW]
[ROW][C]0.94[/C][C]22.406607196537[/C][C]0.0180171331861861[/C][/ROW]
[ROW][C]0.95[/C][C]22.4129347992363[/C][C]0.013586254736096[/C][/ROW]
[ROW][C]0.96[/C][C]22.4182013282918[/C][C]0.0100278536463778[/C][/ROW]
[ROW][C]0.97[/C][C]22.4226565048811[/C][C]0.00761063804283131[/C][/ROW]
[ROW][C]0.98[/C][C]22.4263380093424[/C][C]0.00573793933765674[/C][/ROW]
[ROW][C]0.99[/C][C]22.4289030987061[/C][C]0.00297869082909457[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232675&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232675&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
0.0120.94027815440840.11443835637287
0.0221.0050120321470.0784655325123666
0.0321.0576933831940.0592785848824805
0.0421.09551388149970.0517017254457756
0.0521.12383626369440.0481686628001606
0.0621.14711526138910.0471934794770408
0.0721.16797539767690.0492254080501951
0.0821.18813513141790.0543493337861305
0.0921.20896169126190.0628546086246681
0.121.2316710136340.0753775643707365
0.1121.25735749405650.0920245602971484
0.1221.28688576453730.111619531800379
0.1321.32068932270970.131687575992392
0.1421.35859061188130.149241365943658
0.1521.39976222176130.161748894212219
0.1621.44287812614340.167717135695907
0.1721.48641040341920.167230563009181
0.1821.52896565716170.161693867985741
0.1921.56954999208030.153405026944262
0.221.60769204961740.144755610566686
0.2121.6434125412980.137777646095139
0.2221.67707864705250.133427401243979
0.2321.70920707098050.13164365774231
0.2421.74027882477180.131567385632792
0.2521.77060981574220.131873875871824
0.2621.80029521029550.131402508871779
0.2721.82922191685460.129301301817737
0.2821.85712810292180.125183482604017
0.2921.8836830777150.119016871966618
0.321.90856368030880.111172443104424
0.3121.93151131064650.102156612880739
0.3221.95236329208380.0925440299763622
0.3321.9710603483670.0828184482088122
0.3421.98763687790890.0733732182095835
0.3522.00220210725830.0645406003896537
0.3622.01491892676140.0564744350055582
0.3722.02598462442590.0493318934949953
0.3822.03561514496570.0431395492290062
0.3922.04403273613580.0379664157766303
0.422.05145612954290.0337989552197051
0.4122.05809249965430.0306023016335824
0.4222.06413091216210.0282983966067996
0.4322.06973741401060.0267273945874056
0.4422.07505211540970.0258167573521426
0.4522.08018854412860.0253740938522377
0.4622.0852353091480.0252485817559038
0.4722.09025981582760.0253959291241277
0.4822.09531351233210.0257174943023023
0.4922.10043794818240.0261926649267569
0.522.10567079029870.0268115815074261
0.5122.1110508720520.0276180355848116
0.5222.1166213720560.0286345447741844
0.5322.12243037589070.0299250228753222
0.5422.12852840292280.0314837516432865
0.5522.13496298016520.0332997062383049
0.5622.14177095389360.0353308194817165
0.5722.1489698274420.037376829230542
0.5822.15654984806490.0392844383245925
0.5922.16446869520770.0408924494272586
0.622.17265035989870.0419947883209684
0.6122.18098915019580.042455141689771
0.6222.18935880793690.0421646517183936
0.6322.19762565790470.0411478175492627
0.6422.20566376020240.0394945524540214
0.6522.21336942753360.0372984415492877
0.6622.22067237527870.0348227059349832
0.6722.22754126907790.0322520445982085
0.6822.2339824701170.029827926279207
0.6922.24003217016570.027686412572469
0.722.24574357081450.025928800034154
0.7122.25117195999130.0245158916495176
0.7222.25636116571980.0233476562567447
0.7322.26133472035760.0222736137228973
0.7422.26609411913820.021164741711394
0.7522.27062498279890.0199129373782575
0.7622.27491010453410.0185273272243911
0.7722.27894675677130.0170581949055742
0.7822.28276469961560.0157028219583302
0.7922.28644129747760.0146588030737783
0.822.29011086510980.0142412174109064
0.8122.29396628985370.014686139550884
0.8222.29825142524710.0161982122844127
0.8322.30324240286510.0187915620008384
0.8422.30921549701920.0223440013769642
0.8522.31640024492230.0265856987406204
0.8622.32492119445010.0309904131496119
0.8722.3347402713620.0348591998219101
0.8822.34562089766590.0374291464226596
0.8922.35713730976920.0380772811979708
0.922.36874070062240.0365193359302224
0.9122.3798681173440.0330157617465425
0.9222.39005428517760.0282422090125109
0.9322.39900330875010.0230207459618183
0.9422.4066071965370.0180171331861861
0.9522.41293479923630.013586254736096
0.9622.41820132829180.0100278536463778
0.9722.42265650488110.00761063804283131
0.9822.42633800934240.00573793933765674
0.9922.42890309870610.00297869082909457


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')