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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 computationMon, 20 Oct 2008 13:04:47 -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/2008/Oct/20/t1224529578ag27grx2qp8ihaq.htm/, Retrieved Sun, 19 May 2024 16:36:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17916, Retrieved Sun, 19 May 2024 16:36:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Central Tendency] [Central Tendency ...] [2008-10-19 12:19:28] [7bf6d2d7851fcb8f5756c9eae091d804]
- RMPD  [Harrell-Davis Quantiles] [Quantiles] [2008-10-19 14:44:40] [7bf6d2d7851fcb8f5756c9eae091d804]
-   PD    [Harrell-Davis Quantiles] [Quantiles taak 2] [2008-10-19 15:25:07] [7bf6d2d7851fcb8f5756c9eae091d804]
F   PD        [Harrell-Davis Quantiles] [Waarschijnlijkhei...] [2008-10-20 19:04:47] [54ae75b68e6a45c6d55fa4235827d5b3] [Current]
-   P           [Harrell-Davis Quantiles] [Harrell - Davis Q...] [2008-10-25 08:45:47] [4396f984ebeab43316cd6baa88a4fd40]
Feedback Forum
2008-10-25 14:03:21 [Astrid Sniekers] [reply] 
Het antwoord is correct.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.4
96.4
101.9
106.2
81
94.7
101
109.4
102.3
90.7
96.2
96.1
106
103.1
102
104.7
86
92.1
106.9
112.6
101.7
92
97.4
97
105.4
102.7
98.1
104.5
87.4
89.9
109.8
111.7
98.6
96.9
95.1
97
112.7
102.9
97.4
111.4
87.4
96.8
114.1
110.3
103.9
101.6
94.6
95.9
104.7
102.8
98.1
113.9
80.9
95.7
113.2
105.9
108.8
102.3
99
100.7
115.5
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17916&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17916&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0181.46778822569171.45238380745626
0.0282.70017308686832.46893675077582
0.0384.22162963885612.55744519219404
0.0485.66400332966072.31081076120384
0.0586.90582739475652.20041219709
0.0687.98772697015142.24420960505271
0.0788.97497158561892.30794356839108
0.0889.90007858253182.31484405693835
0.0990.76683924103272.25795543521818
0.191.56907431777362.16040861253571
0.1192.30194875225542.04223879728781
0.1292.9642890164591.90970015325438
0.1393.55701571814181.76065762344604
0.1494.08175861628511.59520711059521
0.1594.54088484820921.42029900560493
0.1694.93831834988341.24840431264234
0.1795.280146614851.09317358713816
0.1895.5744980797860.964941467434164
0.1995.8307817281290.869318629124835
0.296.0586966455090.806804654048666
0.2196.26740315717180.774986554956438
0.2296.46505205325620.770056930325314
0.2396.658660780780.78899784105314
0.2496.85419906151630.829179772617955
0.2597.05671851714620.888523475708778
0.2697.2704043046860.964303167718544
0.2797.49850138142251.05244087126728
0.2897.74313966961441.14730465788680
0.2998.0051299283271.24219988577088
0.398.28381766190341.32938752889446
0.3198.57706844763561.40212356696861
0.3298.88142386680861.45414129522559
0.3399.1924249329731.48188872173634
0.3499.50506142284171.48346121113205
0.3599.81427995579731.45993966912528
0.36100.115475722821.41493238952506
0.37100.4049020398421.35347816909749
0.38100.6799535450801.28160535779408
0.39100.9393054244291.20606413779365
0.4101.1829150439901.13283462331249
0.41101.4119086320011.06759256501608
0.42101.6283826314201.01468402624323
0.43101.8351488787560.977524220393754
0.44102.0354486295230.957756942832606
0.45102.232656428130.955352689038658
0.46102.4299931591490.968798976861026
0.47102.6302684240480.99516678691574
0.48102.8356740061951.03047624941165
0.49103.0476502138021.07015018507129
0.5103.26684330921.10978356269918
0.51103.4931642147751.14546981051756
0.52103.7259468234211.17496595446946
0.53103.9641902372381.19713862825741
0.54104.2068553073181.21223037761159
0.55104.4531740571751.22301121344030
0.56104.7029227147201.23263277891251
0.57104.9566067469521.24605882357745
0.58105.2155112232821.26781718805916
0.59105.4815839050421.30155142660053
0.6105.7571429410871.34862690567968
0.61106.0444350994541.40799918614335
0.62106.3451094930621.47496177103808
0.63106.6597068000371.54218760811269
0.64106.9872831293861.60042440058860
0.65107.3252798141891.64080247603403
0.66107.6697101453431.65592244928505
0.67108.0156658202471.64233764350298
0.68108.3580648079921.60084087893689
0.69108.6924908138441.53682534967850
0.7109.0159352091001.45912814352808
0.71109.3272601830691.37911647807489
0.72109.6272587768851.30749718064944
0.73109.9182810075231.25202623466920
0.74110.2035026625471.21597419959205
0.75110.4860077586881.19665209015237
0.76110.7679129967671.18667836075553
0.77111.0497663485801.17652448685789
0.78111.3303965090191.15706673859405
0.79111.6072825396171.12210468382707
0.8111.8773749088001.07032826829002
0.81112.1381646283111.00574927923305
0.82112.3887078663400.936862167919859
0.83112.6303061985920.874648772182796
0.84112.8666339011630.82977361767777
0.85113.1032755400350.809086678003782
0.86113.3468343727790.813359493747362
0.87113.6039160107940.837925045031007
0.88113.8803108897930.87511000994699
0.89114.1805675207780.91744756633912
0.9114.5079161628660.95902820441781
0.91114.8643084509290.9954030879814
0.92115.2504239156081.02164171664621
0.93115.6662317159561.03155943245731
0.94116.1145311721631.02161904904118
0.95116.6128352223011.00572418987347
0.96117.2204514740041.04804614080601
0.97118.0745688368231.28856199434925
0.98119.3642308600871.87449852772949
0.99121.0553706028572.78463226575872

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 81.4677882256917 & 1.45238380745626 \tabularnewline
0.02 & 82.7001730868683 & 2.46893675077582 \tabularnewline
0.03 & 84.2216296388561 & 2.55744519219404 \tabularnewline
0.04 & 85.6640033296607 & 2.31081076120384 \tabularnewline
0.05 & 86.9058273947565 & 2.20041219709 \tabularnewline
0.06 & 87.9877269701514 & 2.24420960505271 \tabularnewline
0.07 & 88.9749715856189 & 2.30794356839108 \tabularnewline
0.08 & 89.9000785825318 & 2.31484405693835 \tabularnewline
0.09 & 90.7668392410327 & 2.25795543521818 \tabularnewline
0.1 & 91.5690743177736 & 2.16040861253571 \tabularnewline
0.11 & 92.3019487522554 & 2.04223879728781 \tabularnewline
0.12 & 92.964289016459 & 1.90970015325438 \tabularnewline
0.13 & 93.5570157181418 & 1.76065762344604 \tabularnewline
0.14 & 94.0817586162851 & 1.59520711059521 \tabularnewline
0.15 & 94.5408848482092 & 1.42029900560493 \tabularnewline
0.16 & 94.9383183498834 & 1.24840431264234 \tabularnewline
0.17 & 95.28014661485 & 1.09317358713816 \tabularnewline
0.18 & 95.574498079786 & 0.964941467434164 \tabularnewline
0.19 & 95.830781728129 & 0.869318629124835 \tabularnewline
0.2 & 96.058696645509 & 0.806804654048666 \tabularnewline
0.21 & 96.2674031571718 & 0.774986554956438 \tabularnewline
0.22 & 96.4650520532562 & 0.770056930325314 \tabularnewline
0.23 & 96.65866078078 & 0.78899784105314 \tabularnewline
0.24 & 96.8541990615163 & 0.829179772617955 \tabularnewline
0.25 & 97.0567185171462 & 0.888523475708778 \tabularnewline
0.26 & 97.270404304686 & 0.964303167718544 \tabularnewline
0.27 & 97.4985013814225 & 1.05244087126728 \tabularnewline
0.28 & 97.7431396696144 & 1.14730465788680 \tabularnewline
0.29 & 98.005129928327 & 1.24219988577088 \tabularnewline
0.3 & 98.2838176619034 & 1.32938752889446 \tabularnewline
0.31 & 98.5770684476356 & 1.40212356696861 \tabularnewline
0.32 & 98.8814238668086 & 1.45414129522559 \tabularnewline
0.33 & 99.192424932973 & 1.48188872173634 \tabularnewline
0.34 & 99.5050614228417 & 1.48346121113205 \tabularnewline
0.35 & 99.8142799557973 & 1.45993966912528 \tabularnewline
0.36 & 100.11547572282 & 1.41493238952506 \tabularnewline
0.37 & 100.404902039842 & 1.35347816909749 \tabularnewline
0.38 & 100.679953545080 & 1.28160535779408 \tabularnewline
0.39 & 100.939305424429 & 1.20606413779365 \tabularnewline
0.4 & 101.182915043990 & 1.13283462331249 \tabularnewline
0.41 & 101.411908632001 & 1.06759256501608 \tabularnewline
0.42 & 101.628382631420 & 1.01468402624323 \tabularnewline
0.43 & 101.835148878756 & 0.977524220393754 \tabularnewline
0.44 & 102.035448629523 & 0.957756942832606 \tabularnewline
0.45 & 102.23265642813 & 0.955352689038658 \tabularnewline
0.46 & 102.429993159149 & 0.968798976861026 \tabularnewline
0.47 & 102.630268424048 & 0.99516678691574 \tabularnewline
0.48 & 102.835674006195 & 1.03047624941165 \tabularnewline
0.49 & 103.047650213802 & 1.07015018507129 \tabularnewline
0.5 & 103.2668433092 & 1.10978356269918 \tabularnewline
0.51 & 103.493164214775 & 1.14546981051756 \tabularnewline
0.52 & 103.725946823421 & 1.17496595446946 \tabularnewline
0.53 & 103.964190237238 & 1.19713862825741 \tabularnewline
0.54 & 104.206855307318 & 1.21223037761159 \tabularnewline
0.55 & 104.453174057175 & 1.22301121344030 \tabularnewline
0.56 & 104.702922714720 & 1.23263277891251 \tabularnewline
0.57 & 104.956606746952 & 1.24605882357745 \tabularnewline
0.58 & 105.215511223282 & 1.26781718805916 \tabularnewline
0.59 & 105.481583905042 & 1.30155142660053 \tabularnewline
0.6 & 105.757142941087 & 1.34862690567968 \tabularnewline
0.61 & 106.044435099454 & 1.40799918614335 \tabularnewline
0.62 & 106.345109493062 & 1.47496177103808 \tabularnewline
0.63 & 106.659706800037 & 1.54218760811269 \tabularnewline
0.64 & 106.987283129386 & 1.60042440058860 \tabularnewline
0.65 & 107.325279814189 & 1.64080247603403 \tabularnewline
0.66 & 107.669710145343 & 1.65592244928505 \tabularnewline
0.67 & 108.015665820247 & 1.64233764350298 \tabularnewline
0.68 & 108.358064807992 & 1.60084087893689 \tabularnewline
0.69 & 108.692490813844 & 1.53682534967850 \tabularnewline
0.7 & 109.015935209100 & 1.45912814352808 \tabularnewline
0.71 & 109.327260183069 & 1.37911647807489 \tabularnewline
0.72 & 109.627258776885 & 1.30749718064944 \tabularnewline
0.73 & 109.918281007523 & 1.25202623466920 \tabularnewline
0.74 & 110.203502662547 & 1.21597419959205 \tabularnewline
0.75 & 110.486007758688 & 1.19665209015237 \tabularnewline
0.76 & 110.767912996767 & 1.18667836075553 \tabularnewline
0.77 & 111.049766348580 & 1.17652448685789 \tabularnewline
0.78 & 111.330396509019 & 1.15706673859405 \tabularnewline
0.79 & 111.607282539617 & 1.12210468382707 \tabularnewline
0.8 & 111.877374908800 & 1.07032826829002 \tabularnewline
0.81 & 112.138164628311 & 1.00574927923305 \tabularnewline
0.82 & 112.388707866340 & 0.936862167919859 \tabularnewline
0.83 & 112.630306198592 & 0.874648772182796 \tabularnewline
0.84 & 112.866633901163 & 0.82977361767777 \tabularnewline
0.85 & 113.103275540035 & 0.809086678003782 \tabularnewline
0.86 & 113.346834372779 & 0.813359493747362 \tabularnewline
0.87 & 113.603916010794 & 0.837925045031007 \tabularnewline
0.88 & 113.880310889793 & 0.87511000994699 \tabularnewline
0.89 & 114.180567520778 & 0.91744756633912 \tabularnewline
0.9 & 114.507916162866 & 0.95902820441781 \tabularnewline
0.91 & 114.864308450929 & 0.9954030879814 \tabularnewline
0.92 & 115.250423915608 & 1.02164171664621 \tabularnewline
0.93 & 115.666231715956 & 1.03155943245731 \tabularnewline
0.94 & 116.114531172163 & 1.02161904904118 \tabularnewline
0.95 & 116.612835222301 & 1.00572418987347 \tabularnewline
0.96 & 117.220451474004 & 1.04804614080601 \tabularnewline
0.97 & 118.074568836823 & 1.28856199434925 \tabularnewline
0.98 & 119.364230860087 & 1.87449852772949 \tabularnewline
0.99 & 121.055370602857 & 2.78463226575872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17916&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]81.4677882256917[/C][C]1.45238380745626[/C][/ROW]
[ROW][C]0.02[/C][C]82.7001730868683[/C][C]2.46893675077582[/C][/ROW]
[ROW][C]0.03[/C][C]84.2216296388561[/C][C]2.55744519219404[/C][/ROW]
[ROW][C]0.04[/C][C]85.6640033296607[/C][C]2.31081076120384[/C][/ROW]
[ROW][C]0.05[/C][C]86.9058273947565[/C][C]2.20041219709[/C][/ROW]
[ROW][C]0.06[/C][C]87.9877269701514[/C][C]2.24420960505271[/C][/ROW]
[ROW][C]0.07[/C][C]88.9749715856189[/C][C]2.30794356839108[/C][/ROW]
[ROW][C]0.08[/C][C]89.9000785825318[/C][C]2.31484405693835[/C][/ROW]
[ROW][C]0.09[/C][C]90.7668392410327[/C][C]2.25795543521818[/C][/ROW]
[ROW][C]0.1[/C][C]91.5690743177736[/C][C]2.16040861253571[/C][/ROW]
[ROW][C]0.11[/C][C]92.3019487522554[/C][C]2.04223879728781[/C][/ROW]
[ROW][C]0.12[/C][C]92.964289016459[/C][C]1.90970015325438[/C][/ROW]
[ROW][C]0.13[/C][C]93.5570157181418[/C][C]1.76065762344604[/C][/ROW]
[ROW][C]0.14[/C][C]94.0817586162851[/C][C]1.59520711059521[/C][/ROW]
[ROW][C]0.15[/C][C]94.5408848482092[/C][C]1.42029900560493[/C][/ROW]
[ROW][C]0.16[/C][C]94.9383183498834[/C][C]1.24840431264234[/C][/ROW]
[ROW][C]0.17[/C][C]95.28014661485[/C][C]1.09317358713816[/C][/ROW]
[ROW][C]0.18[/C][C]95.574498079786[/C][C]0.964941467434164[/C][/ROW]
[ROW][C]0.19[/C][C]95.830781728129[/C][C]0.869318629124835[/C][/ROW]
[ROW][C]0.2[/C][C]96.058696645509[/C][C]0.806804654048666[/C][/ROW]
[ROW][C]0.21[/C][C]96.2674031571718[/C][C]0.774986554956438[/C][/ROW]
[ROW][C]0.22[/C][C]96.4650520532562[/C][C]0.770056930325314[/C][/ROW]
[ROW][C]0.23[/C][C]96.65866078078[/C][C]0.78899784105314[/C][/ROW]
[ROW][C]0.24[/C][C]96.8541990615163[/C][C]0.829179772617955[/C][/ROW]
[ROW][C]0.25[/C][C]97.0567185171462[/C][C]0.888523475708778[/C][/ROW]
[ROW][C]0.26[/C][C]97.270404304686[/C][C]0.964303167718544[/C][/ROW]
[ROW][C]0.27[/C][C]97.4985013814225[/C][C]1.05244087126728[/C][/ROW]
[ROW][C]0.28[/C][C]97.7431396696144[/C][C]1.14730465788680[/C][/ROW]
[ROW][C]0.29[/C][C]98.005129928327[/C][C]1.24219988577088[/C][/ROW]
[ROW][C]0.3[/C][C]98.2838176619034[/C][C]1.32938752889446[/C][/ROW]
[ROW][C]0.31[/C][C]98.5770684476356[/C][C]1.40212356696861[/C][/ROW]
[ROW][C]0.32[/C][C]98.8814238668086[/C][C]1.45414129522559[/C][/ROW]
[ROW][C]0.33[/C][C]99.192424932973[/C][C]1.48188872173634[/C][/ROW]
[ROW][C]0.34[/C][C]99.5050614228417[/C][C]1.48346121113205[/C][/ROW]
[ROW][C]0.35[/C][C]99.8142799557973[/C][C]1.45993966912528[/C][/ROW]
[ROW][C]0.36[/C][C]100.11547572282[/C][C]1.41493238952506[/C][/ROW]
[ROW][C]0.37[/C][C]100.404902039842[/C][C]1.35347816909749[/C][/ROW]
[ROW][C]0.38[/C][C]100.679953545080[/C][C]1.28160535779408[/C][/ROW]
[ROW][C]0.39[/C][C]100.939305424429[/C][C]1.20606413779365[/C][/ROW]
[ROW][C]0.4[/C][C]101.182915043990[/C][C]1.13283462331249[/C][/ROW]
[ROW][C]0.41[/C][C]101.411908632001[/C][C]1.06759256501608[/C][/ROW]
[ROW][C]0.42[/C][C]101.628382631420[/C][C]1.01468402624323[/C][/ROW]
[ROW][C]0.43[/C][C]101.835148878756[/C][C]0.977524220393754[/C][/ROW]
[ROW][C]0.44[/C][C]102.035448629523[/C][C]0.957756942832606[/C][/ROW]
[ROW][C]0.45[/C][C]102.23265642813[/C][C]0.955352689038658[/C][/ROW]
[ROW][C]0.46[/C][C]102.429993159149[/C][C]0.968798976861026[/C][/ROW]
[ROW][C]0.47[/C][C]102.630268424048[/C][C]0.99516678691574[/C][/ROW]
[ROW][C]0.48[/C][C]102.835674006195[/C][C]1.03047624941165[/C][/ROW]
[ROW][C]0.49[/C][C]103.047650213802[/C][C]1.07015018507129[/C][/ROW]
[ROW][C]0.5[/C][C]103.2668433092[/C][C]1.10978356269918[/C][/ROW]
[ROW][C]0.51[/C][C]103.493164214775[/C][C]1.14546981051756[/C][/ROW]
[ROW][C]0.52[/C][C]103.725946823421[/C][C]1.17496595446946[/C][/ROW]
[ROW][C]0.53[/C][C]103.964190237238[/C][C]1.19713862825741[/C][/ROW]
[ROW][C]0.54[/C][C]104.206855307318[/C][C]1.21223037761159[/C][/ROW]
[ROW][C]0.55[/C][C]104.453174057175[/C][C]1.22301121344030[/C][/ROW]
[ROW][C]0.56[/C][C]104.702922714720[/C][C]1.23263277891251[/C][/ROW]
[ROW][C]0.57[/C][C]104.956606746952[/C][C]1.24605882357745[/C][/ROW]
[ROW][C]0.58[/C][C]105.215511223282[/C][C]1.26781718805916[/C][/ROW]
[ROW][C]0.59[/C][C]105.481583905042[/C][C]1.30155142660053[/C][/ROW]
[ROW][C]0.6[/C][C]105.757142941087[/C][C]1.34862690567968[/C][/ROW]
[ROW][C]0.61[/C][C]106.044435099454[/C][C]1.40799918614335[/C][/ROW]
[ROW][C]0.62[/C][C]106.345109493062[/C][C]1.47496177103808[/C][/ROW]
[ROW][C]0.63[/C][C]106.659706800037[/C][C]1.54218760811269[/C][/ROW]
[ROW][C]0.64[/C][C]106.987283129386[/C][C]1.60042440058860[/C][/ROW]
[ROW][C]0.65[/C][C]107.325279814189[/C][C]1.64080247603403[/C][/ROW]
[ROW][C]0.66[/C][C]107.669710145343[/C][C]1.65592244928505[/C][/ROW]
[ROW][C]0.67[/C][C]108.015665820247[/C][C]1.64233764350298[/C][/ROW]
[ROW][C]0.68[/C][C]108.358064807992[/C][C]1.60084087893689[/C][/ROW]
[ROW][C]0.69[/C][C]108.692490813844[/C][C]1.53682534967850[/C][/ROW]
[ROW][C]0.7[/C][C]109.015935209100[/C][C]1.45912814352808[/C][/ROW]
[ROW][C]0.71[/C][C]109.327260183069[/C][C]1.37911647807489[/C][/ROW]
[ROW][C]0.72[/C][C]109.627258776885[/C][C]1.30749718064944[/C][/ROW]
[ROW][C]0.73[/C][C]109.918281007523[/C][C]1.25202623466920[/C][/ROW]
[ROW][C]0.74[/C][C]110.203502662547[/C][C]1.21597419959205[/C][/ROW]
[ROW][C]0.75[/C][C]110.486007758688[/C][C]1.19665209015237[/C][/ROW]
[ROW][C]0.76[/C][C]110.767912996767[/C][C]1.18667836075553[/C][/ROW]
[ROW][C]0.77[/C][C]111.049766348580[/C][C]1.17652448685789[/C][/ROW]
[ROW][C]0.78[/C][C]111.330396509019[/C][C]1.15706673859405[/C][/ROW]
[ROW][C]0.79[/C][C]111.607282539617[/C][C]1.12210468382707[/C][/ROW]
[ROW][C]0.8[/C][C]111.877374908800[/C][C]1.07032826829002[/C][/ROW]
[ROW][C]0.81[/C][C]112.138164628311[/C][C]1.00574927923305[/C][/ROW]
[ROW][C]0.82[/C][C]112.388707866340[/C][C]0.936862167919859[/C][/ROW]
[ROW][C]0.83[/C][C]112.630306198592[/C][C]0.874648772182796[/C][/ROW]
[ROW][C]0.84[/C][C]112.866633901163[/C][C]0.82977361767777[/C][/ROW]
[ROW][C]0.85[/C][C]113.103275540035[/C][C]0.809086678003782[/C][/ROW]
[ROW][C]0.86[/C][C]113.346834372779[/C][C]0.813359493747362[/C][/ROW]
[ROW][C]0.87[/C][C]113.603916010794[/C][C]0.837925045031007[/C][/ROW]
[ROW][C]0.88[/C][C]113.880310889793[/C][C]0.87511000994699[/C][/ROW]
[ROW][C]0.89[/C][C]114.180567520778[/C][C]0.91744756633912[/C][/ROW]
[ROW][C]0.9[/C][C]114.507916162866[/C][C]0.95902820441781[/C][/ROW]
[ROW][C]0.91[/C][C]114.864308450929[/C][C]0.9954030879814[/C][/ROW]
[ROW][C]0.92[/C][C]115.250423915608[/C][C]1.02164171664621[/C][/ROW]
[ROW][C]0.93[/C][C]115.666231715956[/C][C]1.03155943245731[/C][/ROW]
[ROW][C]0.94[/C][C]116.114531172163[/C][C]1.02161904904118[/C][/ROW]
[ROW][C]0.95[/C][C]116.612835222301[/C][C]1.00572418987347[/C][/ROW]
[ROW][C]0.96[/C][C]117.220451474004[/C][C]1.04804614080601[/C][/ROW]
[ROW][C]0.97[/C][C]118.074568836823[/C][C]1.28856199434925[/C][/ROW]
[ROW][C]0.98[/C][C]119.364230860087[/C][C]1.87449852772949[/C][/ROW]
[ROW][C]0.99[/C][C]121.055370602857[/C][C]2.78463226575872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17916&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
0.0181.46778822569171.45238380745626
0.0282.70017308686832.46893675077582
0.0384.22162963885612.55744519219404
0.0485.66400332966072.31081076120384
0.0586.90582739475652.20041219709
0.0687.98772697015142.24420960505271
0.0788.97497158561892.30794356839108
0.0889.90007858253182.31484405693835
0.0990.76683924103272.25795543521818
0.191.56907431777362.16040861253571
0.1192.30194875225542.04223879728781
0.1292.9642890164591.90970015325438
0.1393.55701571814181.76065762344604
0.1494.08175861628511.59520711059521
0.1594.54088484820921.42029900560493
0.1694.93831834988341.24840431264234
0.1795.280146614851.09317358713816
0.1895.5744980797860.964941467434164
0.1995.8307817281290.869318629124835
0.296.0586966455090.806804654048666
0.2196.26740315717180.774986554956438
0.2296.46505205325620.770056930325314
0.2396.658660780780.78899784105314
0.2496.85419906151630.829179772617955
0.2597.05671851714620.888523475708778
0.2697.2704043046860.964303167718544
0.2797.49850138142251.05244087126728
0.2897.74313966961441.14730465788680
0.2998.0051299283271.24219988577088
0.398.28381766190341.32938752889446
0.3198.57706844763561.40212356696861
0.3298.88142386680861.45414129522559
0.3399.1924249329731.48188872173634
0.3499.50506142284171.48346121113205
0.3599.81427995579731.45993966912528
0.36100.115475722821.41493238952506
0.37100.4049020398421.35347816909749
0.38100.6799535450801.28160535779408
0.39100.9393054244291.20606413779365
0.4101.1829150439901.13283462331249
0.41101.4119086320011.06759256501608
0.42101.6283826314201.01468402624323
0.43101.8351488787560.977524220393754
0.44102.0354486295230.957756942832606
0.45102.232656428130.955352689038658
0.46102.4299931591490.968798976861026
0.47102.6302684240480.99516678691574
0.48102.8356740061951.03047624941165
0.49103.0476502138021.07015018507129
0.5103.26684330921.10978356269918
0.51103.4931642147751.14546981051756
0.52103.7259468234211.17496595446946
0.53103.9641902372381.19713862825741
0.54104.2068553073181.21223037761159
0.55104.4531740571751.22301121344030
0.56104.7029227147201.23263277891251
0.57104.9566067469521.24605882357745
0.58105.2155112232821.26781718805916
0.59105.4815839050421.30155142660053
0.6105.7571429410871.34862690567968
0.61106.0444350994541.40799918614335
0.62106.3451094930621.47496177103808
0.63106.6597068000371.54218760811269
0.64106.9872831293861.60042440058860
0.65107.3252798141891.64080247603403
0.66107.6697101453431.65592244928505
0.67108.0156658202471.64233764350298
0.68108.3580648079921.60084087893689
0.69108.6924908138441.53682534967850
0.7109.0159352091001.45912814352808
0.71109.3272601830691.37911647807489
0.72109.6272587768851.30749718064944
0.73109.9182810075231.25202623466920
0.74110.2035026625471.21597419959205
0.75110.4860077586881.19665209015237
0.76110.7679129967671.18667836075553
0.77111.0497663485801.17652448685789
0.78111.3303965090191.15706673859405
0.79111.6072825396171.12210468382707
0.8111.8773749088001.07032826829002
0.81112.1381646283111.00574927923305
0.82112.3887078663400.936862167919859
0.83112.6303061985920.874648772182796
0.84112.8666339011630.82977361767777
0.85113.1032755400350.809086678003782
0.86113.3468343727790.813359493747362
0.87113.6039160107940.837925045031007
0.88113.8803108897930.87511000994699
0.89114.1805675207780.91744756633912
0.9114.5079161628660.95902820441781
0.91114.8643084509290.9954030879814
0.92115.2504239156081.02164171664621
0.93115.6662317159561.03155943245731
0.94116.1145311721631.02161904904118
0.95116.6128352223011.00572418987347
0.96117.2204514740041.04804614080601
0.97118.0745688368231.28856199434925
0.98119.3642308600871.87449852772949
0.99121.0553706028572.78463226575872


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')