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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 18 Oct 2009 08:27:09 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/18/t1255876077d42lzycmj1e6c71.htm/, Retrieved Mon, 29 Apr 2024 16:14:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47318, Retrieved Mon, 29 Apr 2024 16:14:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 2
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Percentiles] [Percentielen] [2009-10-18 13:47:08] [03557919bc1ce1475f4920f6a43c36b0]
- RM D          [Harrell-Davis Quantiles] [Kwantielen] [2009-10-18 14:27:09] [e7a989b306049c061a54f626f1127c12] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65.35
55.81
55.40
61.89
40.07
47.30
58.00
54.75
47.61
41.43
46.33
48.74
42.22
44.11
39.34
38.37
52.45
48.17
41.43
42.57
45.18
58.09
50.50
50.11
54.92
59.58
58.48
73.63
93.71
85.20
83.33
103.41
100.50
100.17
94.22
132.54
142.15
136.69
153.83
151.00
97.86
74.45
78.94
74.09
80.28
70.66
78.29
61.78
57.45
53.24
52.72
49.80
45.00
61.38
70.70
98.29
103.32
332.50
284.14
306.29

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47318&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47318&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47318&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0138.63200871771190.934644506226706
0.0239.05159108234490.961879470928814
0.0339.54032600975461.03443568157855
0.0440.03846762241151.10536335417063
0.0540.52013763239441.15373406605196
0.0640.97995446121961.19465556221784
0.0741.42225146501691.25367033419289
0.0841.85526324649371.34351303464530
0.0942.28763494318211.45796868741768
0.142.72597293113091.58037106950313
0.1143.17351243330091.69384380520757
0.1243.63004215792311.78710343646235
0.1344.09279095947351.85558078654657
0.1444.55772410471621.90059239625556
0.1545.02075074734351.92668747809171
0.1645.4785641174921.93998196169625
0.1745.92905703263441.94639056169751
0.1846.37139334705781.95129230602015
0.1946.80586241677611.95903708918516
0.247.23362897689761.97298709296619
0.2147.65645211368691.99554266115743
0.2248.07641081113982.02791367193510
0.2348.49565151381762.07003659029879
0.2448.9161652658552.12051227770058
0.2549.33960244199942.17706692648742
0.2649.76713538177272.23632920974393
0.2750.1993791127682.29506628903259
0.2850.63637648361292.34978294369894
0.2951.07764732991862.39765573801998
0.351.52229372341612.43664980092498
0.3151.96914690031922.46590418201652
0.3252.41693757022762.48548428850867
0.3352.86447063615492.49659878082127
0.3453.3107878058042.50139897427568
0.3553.75530639532462.50266638868521
0.3654.19792861660522.50384352987034
0.3754.63912138936972.50844728021851
0.3855.07997090740742.52031532822956
0.3955.52221786792952.54350003672610
0.455.96827809985972.58193777412025
0.4156.42124965810432.64001919954086
0.4256.88490228966282.72197672782774
0.4357.36363997229022.83201419110495
0.4457.86242357313772.97391054557588
0.4558.38663998605033.15029956551217
0.4658.94190731071653.36251400983603
0.4759.53381295485143.60956640334612
0.4860.16759236357843.88816777635681
0.4960.84776897237184.19213342061617
0.561.57778881334674.51295077291871
0.5162.35969343598184.83992199173688
0.5263.19387988454275.16083395952907
0.5364.07899435717295.46353848964593
0.5465.01199581993765.73656373468282
0.5565.9884076376045.97075335101811
0.5667.00275114733036.16054369790831
0.5768.04912834912626.30450315998476
0.5869.1218956615916.40614589828104
0.5970.21635119720696.47363251443854
0.671.32934769631466.51938018994182
0.6172.45974418778146.55832623055229
0.6273.60862203918316.6067187508357
0.6374.77921425175436.6793744487189
0.6475.97652854065536.78787294215448
0.6577.20668230143056.93826155594361
0.6678.47600820967967.12979198464211
0.6779.79002997922157.35401153547115
0.6881.1524452945017.5958929466895
0.6982.56428284366767.83477581437718
0.784.02341732108438.04769579624613
0.7185.52462393560678.2122031856245
0.7287.06032575600078.31074450998866
0.7388.62212721427158.33499351953955
0.7490.2031311816338.29003568315425
0.7591.80090454961738.19790121165706
0.7693.420793457828.10079714271718
0.7795.07910972878918.06183550343114
0.7896.80554679668088.16207107443141
0.7998.64409210075528.48970673106714
0.8100.6517664679889.11962895333023
0.81102.89484363619410.0879956176223
0.82105.44288720885511.3756169504396
0.83108.36204218970612.9068114427667
0.84111.71046586855514.5648969370585
0.85115.54028475713616.2231496806427
0.86119.91137319213917.7959322717486
0.87124.92144639180919.3149038848746
0.88130.7528782329621.0295780467776
0.89137.72773878598223.4992253704332
0.9146.34862013541027.5576718600804
0.91157.28756541940733.9797780327866
0.92171.27906384939542.903735358963
0.93188.89193776881153.3234852011651
0.94210.21219435925662.8930400196245
0.95234.55327766831068.2942214672527
0.96260.36352360455366.4785952025652
0.97285.43295832416956.6703819994006
0.98307.29506237734742.1820981152554
0.99323.59077843030830.1843254564421

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 38.6320087177119 & 0.934644506226706 \tabularnewline
0.02 & 39.0515910823449 & 0.961879470928814 \tabularnewline
0.03 & 39.5403260097546 & 1.03443568157855 \tabularnewline
0.04 & 40.0384676224115 & 1.10536335417063 \tabularnewline
0.05 & 40.5201376323944 & 1.15373406605196 \tabularnewline
0.06 & 40.9799544612196 & 1.19465556221784 \tabularnewline
0.07 & 41.4222514650169 & 1.25367033419289 \tabularnewline
0.08 & 41.8552632464937 & 1.34351303464530 \tabularnewline
0.09 & 42.2876349431821 & 1.45796868741768 \tabularnewline
0.1 & 42.7259729311309 & 1.58037106950313 \tabularnewline
0.11 & 43.1735124333009 & 1.69384380520757 \tabularnewline
0.12 & 43.6300421579231 & 1.78710343646235 \tabularnewline
0.13 & 44.0927909594735 & 1.85558078654657 \tabularnewline
0.14 & 44.5577241047162 & 1.90059239625556 \tabularnewline
0.15 & 45.0207507473435 & 1.92668747809171 \tabularnewline
0.16 & 45.478564117492 & 1.93998196169625 \tabularnewline
0.17 & 45.9290570326344 & 1.94639056169751 \tabularnewline
0.18 & 46.3713933470578 & 1.95129230602015 \tabularnewline
0.19 & 46.8058624167761 & 1.95903708918516 \tabularnewline
0.2 & 47.2336289768976 & 1.97298709296619 \tabularnewline
0.21 & 47.6564521136869 & 1.99554266115743 \tabularnewline
0.22 & 48.0764108111398 & 2.02791367193510 \tabularnewline
0.23 & 48.4956515138176 & 2.07003659029879 \tabularnewline
0.24 & 48.916165265855 & 2.12051227770058 \tabularnewline
0.25 & 49.3396024419994 & 2.17706692648742 \tabularnewline
0.26 & 49.7671353817727 & 2.23632920974393 \tabularnewline
0.27 & 50.199379112768 & 2.29506628903259 \tabularnewline
0.28 & 50.6363764836129 & 2.34978294369894 \tabularnewline
0.29 & 51.0776473299186 & 2.39765573801998 \tabularnewline
0.3 & 51.5222937234161 & 2.43664980092498 \tabularnewline
0.31 & 51.9691469003192 & 2.46590418201652 \tabularnewline
0.32 & 52.4169375702276 & 2.48548428850867 \tabularnewline
0.33 & 52.8644706361549 & 2.49659878082127 \tabularnewline
0.34 & 53.310787805804 & 2.50139897427568 \tabularnewline
0.35 & 53.7553063953246 & 2.50266638868521 \tabularnewline
0.36 & 54.1979286166052 & 2.50384352987034 \tabularnewline
0.37 & 54.6391213893697 & 2.50844728021851 \tabularnewline
0.38 & 55.0799709074074 & 2.52031532822956 \tabularnewline
0.39 & 55.5222178679295 & 2.54350003672610 \tabularnewline
0.4 & 55.9682780998597 & 2.58193777412025 \tabularnewline
0.41 & 56.4212496581043 & 2.64001919954086 \tabularnewline
0.42 & 56.8849022896628 & 2.72197672782774 \tabularnewline
0.43 & 57.3636399722902 & 2.83201419110495 \tabularnewline
0.44 & 57.8624235731377 & 2.97391054557588 \tabularnewline
0.45 & 58.3866399860503 & 3.15029956551217 \tabularnewline
0.46 & 58.9419073107165 & 3.36251400983603 \tabularnewline
0.47 & 59.5338129548514 & 3.60956640334612 \tabularnewline
0.48 & 60.1675923635784 & 3.88816777635681 \tabularnewline
0.49 & 60.8477689723718 & 4.19213342061617 \tabularnewline
0.5 & 61.5777888133467 & 4.51295077291871 \tabularnewline
0.51 & 62.3596934359818 & 4.83992199173688 \tabularnewline
0.52 & 63.1938798845427 & 5.16083395952907 \tabularnewline
0.53 & 64.0789943571729 & 5.46353848964593 \tabularnewline
0.54 & 65.0119958199376 & 5.73656373468282 \tabularnewline
0.55 & 65.988407637604 & 5.97075335101811 \tabularnewline
0.56 & 67.0027511473303 & 6.16054369790831 \tabularnewline
0.57 & 68.0491283491262 & 6.30450315998476 \tabularnewline
0.58 & 69.121895661591 & 6.40614589828104 \tabularnewline
0.59 & 70.2163511972069 & 6.47363251443854 \tabularnewline
0.6 & 71.3293476963146 & 6.51938018994182 \tabularnewline
0.61 & 72.4597441877814 & 6.55832623055229 \tabularnewline
0.62 & 73.6086220391831 & 6.6067187508357 \tabularnewline
0.63 & 74.7792142517543 & 6.6793744487189 \tabularnewline
0.64 & 75.9765285406553 & 6.78787294215448 \tabularnewline
0.65 & 77.2066823014305 & 6.93826155594361 \tabularnewline
0.66 & 78.4760082096796 & 7.12979198464211 \tabularnewline
0.67 & 79.7900299792215 & 7.35401153547115 \tabularnewline
0.68 & 81.152445294501 & 7.5958929466895 \tabularnewline
0.69 & 82.5642828436676 & 7.83477581437718 \tabularnewline
0.7 & 84.0234173210843 & 8.04769579624613 \tabularnewline
0.71 & 85.5246239356067 & 8.2122031856245 \tabularnewline
0.72 & 87.0603257560007 & 8.31074450998866 \tabularnewline
0.73 & 88.6221272142715 & 8.33499351953955 \tabularnewline
0.74 & 90.203131181633 & 8.29003568315425 \tabularnewline
0.75 & 91.8009045496173 & 8.19790121165706 \tabularnewline
0.76 & 93.42079345782 & 8.10079714271718 \tabularnewline
0.77 & 95.0791097287891 & 8.06183550343114 \tabularnewline
0.78 & 96.8055467966808 & 8.16207107443141 \tabularnewline
0.79 & 98.6440921007552 & 8.48970673106714 \tabularnewline
0.8 & 100.651766467988 & 9.11962895333023 \tabularnewline
0.81 & 102.894843636194 & 10.0879956176223 \tabularnewline
0.82 & 105.442887208855 & 11.3756169504396 \tabularnewline
0.83 & 108.362042189706 & 12.9068114427667 \tabularnewline
0.84 & 111.710465868555 & 14.5648969370585 \tabularnewline
0.85 & 115.540284757136 & 16.2231496806427 \tabularnewline
0.86 & 119.911373192139 & 17.7959322717486 \tabularnewline
0.87 & 124.921446391809 & 19.3149038848746 \tabularnewline
0.88 & 130.75287823296 & 21.0295780467776 \tabularnewline
0.89 & 137.727738785982 & 23.4992253704332 \tabularnewline
0.9 & 146.348620135410 & 27.5576718600804 \tabularnewline
0.91 & 157.287565419407 & 33.9797780327866 \tabularnewline
0.92 & 171.279063849395 & 42.903735358963 \tabularnewline
0.93 & 188.891937768811 & 53.3234852011651 \tabularnewline
0.94 & 210.212194359256 & 62.8930400196245 \tabularnewline
0.95 & 234.553277668310 & 68.2942214672527 \tabularnewline
0.96 & 260.363523604553 & 66.4785952025652 \tabularnewline
0.97 & 285.432958324169 & 56.6703819994006 \tabularnewline
0.98 & 307.295062377347 & 42.1820981152554 \tabularnewline
0.99 & 323.590778430308 & 30.1843254564421 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47318&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]38.6320087177119[/C][C]0.934644506226706[/C][/ROW]
[ROW][C]0.02[/C][C]39.0515910823449[/C][C]0.961879470928814[/C][/ROW]
[ROW][C]0.03[/C][C]39.5403260097546[/C][C]1.03443568157855[/C][/ROW]
[ROW][C]0.04[/C][C]40.0384676224115[/C][C]1.10536335417063[/C][/ROW]
[ROW][C]0.05[/C][C]40.5201376323944[/C][C]1.15373406605196[/C][/ROW]
[ROW][C]0.06[/C][C]40.9799544612196[/C][C]1.19465556221784[/C][/ROW]
[ROW][C]0.07[/C][C]41.4222514650169[/C][C]1.25367033419289[/C][/ROW]
[ROW][C]0.08[/C][C]41.8552632464937[/C][C]1.34351303464530[/C][/ROW]
[ROW][C]0.09[/C][C]42.2876349431821[/C][C]1.45796868741768[/C][/ROW]
[ROW][C]0.1[/C][C]42.7259729311309[/C][C]1.58037106950313[/C][/ROW]
[ROW][C]0.11[/C][C]43.1735124333009[/C][C]1.69384380520757[/C][/ROW]
[ROW][C]0.12[/C][C]43.6300421579231[/C][C]1.78710343646235[/C][/ROW]
[ROW][C]0.13[/C][C]44.0927909594735[/C][C]1.85558078654657[/C][/ROW]
[ROW][C]0.14[/C][C]44.5577241047162[/C][C]1.90059239625556[/C][/ROW]
[ROW][C]0.15[/C][C]45.0207507473435[/C][C]1.92668747809171[/C][/ROW]
[ROW][C]0.16[/C][C]45.478564117492[/C][C]1.93998196169625[/C][/ROW]
[ROW][C]0.17[/C][C]45.9290570326344[/C][C]1.94639056169751[/C][/ROW]
[ROW][C]0.18[/C][C]46.3713933470578[/C][C]1.95129230602015[/C][/ROW]
[ROW][C]0.19[/C][C]46.8058624167761[/C][C]1.95903708918516[/C][/ROW]
[ROW][C]0.2[/C][C]47.2336289768976[/C][C]1.97298709296619[/C][/ROW]
[ROW][C]0.21[/C][C]47.6564521136869[/C][C]1.99554266115743[/C][/ROW]
[ROW][C]0.22[/C][C]48.0764108111398[/C][C]2.02791367193510[/C][/ROW]
[ROW][C]0.23[/C][C]48.4956515138176[/C][C]2.07003659029879[/C][/ROW]
[ROW][C]0.24[/C][C]48.916165265855[/C][C]2.12051227770058[/C][/ROW]
[ROW][C]0.25[/C][C]49.3396024419994[/C][C]2.17706692648742[/C][/ROW]
[ROW][C]0.26[/C][C]49.7671353817727[/C][C]2.23632920974393[/C][/ROW]
[ROW][C]0.27[/C][C]50.199379112768[/C][C]2.29506628903259[/C][/ROW]
[ROW][C]0.28[/C][C]50.6363764836129[/C][C]2.34978294369894[/C][/ROW]
[ROW][C]0.29[/C][C]51.0776473299186[/C][C]2.39765573801998[/C][/ROW]
[ROW][C]0.3[/C][C]51.5222937234161[/C][C]2.43664980092498[/C][/ROW]
[ROW][C]0.31[/C][C]51.9691469003192[/C][C]2.46590418201652[/C][/ROW]
[ROW][C]0.32[/C][C]52.4169375702276[/C][C]2.48548428850867[/C][/ROW]
[ROW][C]0.33[/C][C]52.8644706361549[/C][C]2.49659878082127[/C][/ROW]
[ROW][C]0.34[/C][C]53.310787805804[/C][C]2.50139897427568[/C][/ROW]
[ROW][C]0.35[/C][C]53.7553063953246[/C][C]2.50266638868521[/C][/ROW]
[ROW][C]0.36[/C][C]54.1979286166052[/C][C]2.50384352987034[/C][/ROW]
[ROW][C]0.37[/C][C]54.6391213893697[/C][C]2.50844728021851[/C][/ROW]
[ROW][C]0.38[/C][C]55.0799709074074[/C][C]2.52031532822956[/C][/ROW]
[ROW][C]0.39[/C][C]55.5222178679295[/C][C]2.54350003672610[/C][/ROW]
[ROW][C]0.4[/C][C]55.9682780998597[/C][C]2.58193777412025[/C][/ROW]
[ROW][C]0.41[/C][C]56.4212496581043[/C][C]2.64001919954086[/C][/ROW]
[ROW][C]0.42[/C][C]56.8849022896628[/C][C]2.72197672782774[/C][/ROW]
[ROW][C]0.43[/C][C]57.3636399722902[/C][C]2.83201419110495[/C][/ROW]
[ROW][C]0.44[/C][C]57.8624235731377[/C][C]2.97391054557588[/C][/ROW]
[ROW][C]0.45[/C][C]58.3866399860503[/C][C]3.15029956551217[/C][/ROW]
[ROW][C]0.46[/C][C]58.9419073107165[/C][C]3.36251400983603[/C][/ROW]
[ROW][C]0.47[/C][C]59.5338129548514[/C][C]3.60956640334612[/C][/ROW]
[ROW][C]0.48[/C][C]60.1675923635784[/C][C]3.88816777635681[/C][/ROW]
[ROW][C]0.49[/C][C]60.8477689723718[/C][C]4.19213342061617[/C][/ROW]
[ROW][C]0.5[/C][C]61.5777888133467[/C][C]4.51295077291871[/C][/ROW]
[ROW][C]0.51[/C][C]62.3596934359818[/C][C]4.83992199173688[/C][/ROW]
[ROW][C]0.52[/C][C]63.1938798845427[/C][C]5.16083395952907[/C][/ROW]
[ROW][C]0.53[/C][C]64.0789943571729[/C][C]5.46353848964593[/C][/ROW]
[ROW][C]0.54[/C][C]65.0119958199376[/C][C]5.73656373468282[/C][/ROW]
[ROW][C]0.55[/C][C]65.988407637604[/C][C]5.97075335101811[/C][/ROW]
[ROW][C]0.56[/C][C]67.0027511473303[/C][C]6.16054369790831[/C][/ROW]
[ROW][C]0.57[/C][C]68.0491283491262[/C][C]6.30450315998476[/C][/ROW]
[ROW][C]0.58[/C][C]69.121895661591[/C][C]6.40614589828104[/C][/ROW]
[ROW][C]0.59[/C][C]70.2163511972069[/C][C]6.47363251443854[/C][/ROW]
[ROW][C]0.6[/C][C]71.3293476963146[/C][C]6.51938018994182[/C][/ROW]
[ROW][C]0.61[/C][C]72.4597441877814[/C][C]6.55832623055229[/C][/ROW]
[ROW][C]0.62[/C][C]73.6086220391831[/C][C]6.6067187508357[/C][/ROW]
[ROW][C]0.63[/C][C]74.7792142517543[/C][C]6.6793744487189[/C][/ROW]
[ROW][C]0.64[/C][C]75.9765285406553[/C][C]6.78787294215448[/C][/ROW]
[ROW][C]0.65[/C][C]77.2066823014305[/C][C]6.93826155594361[/C][/ROW]
[ROW][C]0.66[/C][C]78.4760082096796[/C][C]7.12979198464211[/C][/ROW]
[ROW][C]0.67[/C][C]79.7900299792215[/C][C]7.35401153547115[/C][/ROW]
[ROW][C]0.68[/C][C]81.152445294501[/C][C]7.5958929466895[/C][/ROW]
[ROW][C]0.69[/C][C]82.5642828436676[/C][C]7.83477581437718[/C][/ROW]
[ROW][C]0.7[/C][C]84.0234173210843[/C][C]8.04769579624613[/C][/ROW]
[ROW][C]0.71[/C][C]85.5246239356067[/C][C]8.2122031856245[/C][/ROW]
[ROW][C]0.72[/C][C]87.0603257560007[/C][C]8.31074450998866[/C][/ROW]
[ROW][C]0.73[/C][C]88.6221272142715[/C][C]8.33499351953955[/C][/ROW]
[ROW][C]0.74[/C][C]90.203131181633[/C][C]8.29003568315425[/C][/ROW]
[ROW][C]0.75[/C][C]91.8009045496173[/C][C]8.19790121165706[/C][/ROW]
[ROW][C]0.76[/C][C]93.42079345782[/C][C]8.10079714271718[/C][/ROW]
[ROW][C]0.77[/C][C]95.0791097287891[/C][C]8.06183550343114[/C][/ROW]
[ROW][C]0.78[/C][C]96.8055467966808[/C][C]8.16207107443141[/C][/ROW]
[ROW][C]0.79[/C][C]98.6440921007552[/C][C]8.48970673106714[/C][/ROW]
[ROW][C]0.8[/C][C]100.651766467988[/C][C]9.11962895333023[/C][/ROW]
[ROW][C]0.81[/C][C]102.894843636194[/C][C]10.0879956176223[/C][/ROW]
[ROW][C]0.82[/C][C]105.442887208855[/C][C]11.3756169504396[/C][/ROW]
[ROW][C]0.83[/C][C]108.362042189706[/C][C]12.9068114427667[/C][/ROW]
[ROW][C]0.84[/C][C]111.710465868555[/C][C]14.5648969370585[/C][/ROW]
[ROW][C]0.85[/C][C]115.540284757136[/C][C]16.2231496806427[/C][/ROW]
[ROW][C]0.86[/C][C]119.911373192139[/C][C]17.7959322717486[/C][/ROW]
[ROW][C]0.87[/C][C]124.921446391809[/C][C]19.3149038848746[/C][/ROW]
[ROW][C]0.88[/C][C]130.75287823296[/C][C]21.0295780467776[/C][/ROW]
[ROW][C]0.89[/C][C]137.727738785982[/C][C]23.4992253704332[/C][/ROW]
[ROW][C]0.9[/C][C]146.348620135410[/C][C]27.5576718600804[/C][/ROW]
[ROW][C]0.91[/C][C]157.287565419407[/C][C]33.9797780327866[/C][/ROW]
[ROW][C]0.92[/C][C]171.279063849395[/C][C]42.903735358963[/C][/ROW]
[ROW][C]0.93[/C][C]188.891937768811[/C][C]53.3234852011651[/C][/ROW]
[ROW][C]0.94[/C][C]210.212194359256[/C][C]62.8930400196245[/C][/ROW]
[ROW][C]0.95[/C][C]234.553277668310[/C][C]68.2942214672527[/C][/ROW]
[ROW][C]0.96[/C][C]260.363523604553[/C][C]66.4785952025652[/C][/ROW]
[ROW][C]0.97[/C][C]285.432958324169[/C][C]56.6703819994006[/C][/ROW]
[ROW][C]0.98[/C][C]307.295062377347[/C][C]42.1820981152554[/C][/ROW]
[ROW][C]0.99[/C][C]323.590778430308[/C][C]30.1843254564421[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47318&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47318&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
0.0138.63200871771190.934644506226706
0.0239.05159108234490.961879470928814
0.0339.54032600975461.03443568157855
0.0440.03846762241151.10536335417063
0.0540.52013763239441.15373406605196
0.0640.97995446121961.19465556221784
0.0741.42225146501691.25367033419289
0.0841.85526324649371.34351303464530
0.0942.28763494318211.45796868741768
0.142.72597293113091.58037106950313
0.1143.17351243330091.69384380520757
0.1243.63004215792311.78710343646235
0.1344.09279095947351.85558078654657
0.1444.55772410471621.90059239625556
0.1545.02075074734351.92668747809171
0.1645.4785641174921.93998196169625
0.1745.92905703263441.94639056169751
0.1846.37139334705781.95129230602015
0.1946.80586241677611.95903708918516
0.247.23362897689761.97298709296619
0.2147.65645211368691.99554266115743
0.2248.07641081113982.02791367193510
0.2348.49565151381762.07003659029879
0.2448.9161652658552.12051227770058
0.2549.33960244199942.17706692648742
0.2649.76713538177272.23632920974393
0.2750.1993791127682.29506628903259
0.2850.63637648361292.34978294369894
0.2951.07764732991862.39765573801998
0.351.52229372341612.43664980092498
0.3151.96914690031922.46590418201652
0.3252.41693757022762.48548428850867
0.3352.86447063615492.49659878082127
0.3453.3107878058042.50139897427568
0.3553.75530639532462.50266638868521
0.3654.19792861660522.50384352987034
0.3754.63912138936972.50844728021851
0.3855.07997090740742.52031532822956
0.3955.52221786792952.54350003672610
0.455.96827809985972.58193777412025
0.4156.42124965810432.64001919954086
0.4256.88490228966282.72197672782774
0.4357.36363997229022.83201419110495
0.4457.86242357313772.97391054557588
0.4558.38663998605033.15029956551217
0.4658.94190731071653.36251400983603
0.4759.53381295485143.60956640334612
0.4860.16759236357843.88816777635681
0.4960.84776897237184.19213342061617
0.561.57778881334674.51295077291871
0.5162.35969343598184.83992199173688
0.5263.19387988454275.16083395952907
0.5364.07899435717295.46353848964593
0.5465.01199581993765.73656373468282
0.5565.9884076376045.97075335101811
0.5667.00275114733036.16054369790831
0.5768.04912834912626.30450315998476
0.5869.1218956615916.40614589828104
0.5970.21635119720696.47363251443854
0.671.32934769631466.51938018994182
0.6172.45974418778146.55832623055229
0.6273.60862203918316.6067187508357
0.6374.77921425175436.6793744487189
0.6475.97652854065536.78787294215448
0.6577.20668230143056.93826155594361
0.6678.47600820967967.12979198464211
0.6779.79002997922157.35401153547115
0.6881.1524452945017.5958929466895
0.6982.56428284366767.83477581437718
0.784.02341732108438.04769579624613
0.7185.52462393560678.2122031856245
0.7287.06032575600078.31074450998866
0.7388.62212721427158.33499351953955
0.7490.2031311816338.29003568315425
0.7591.80090454961738.19790121165706
0.7693.420793457828.10079714271718
0.7795.07910972878918.06183550343114
0.7896.80554679668088.16207107443141
0.7998.64409210075528.48970673106714
0.8100.6517664679889.11962895333023
0.81102.89484363619410.0879956176223
0.82105.44288720885511.3756169504396
0.83108.36204218970612.9068114427667
0.84111.71046586855514.5648969370585
0.85115.54028475713616.2231496806427
0.86119.91137319213917.7959322717486
0.87124.92144639180919.3149038848746
0.88130.7528782329621.0295780467776
0.89137.72773878598223.4992253704332
0.9146.34862013541027.5576718600804
0.91157.28756541940733.9797780327866
0.92171.27906384939542.903735358963
0.93188.89193776881153.3234852011651
0.94210.21219435925662.8930400196245
0.95234.55327766831068.2942214672527
0.96260.36352360455366.4785952025652
0.97285.43295832416956.6703819994006
0.98307.29506237734742.1820981152554
0.99323.59077843030830.1843254564421


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):
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')