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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, 11 Oct 2010 21:12:07 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286831549zz3iozj3i176dmo.htm/, Retrieved Fri, 26 Apr 2024 04:08:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82726, Retrieved Fri, 26 Apr 2024 04:08:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42 - Natasha Van Linden
Estimated Impact88

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] [Harrell Davis Per...] [2010-10-11 21:12:07] [85d6e4146de3ee96ae2a9c7dd566a647] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97
100.7
101.4
101.5
101.8
101.5
102.2
101.8
98.5
98.4
97.5
97.7
98.3
99.6
99.4
96.7
96.9
96.1
97.9
99.2
97.8
94.9
93.3
91.5
89.1
92.3
91.8
92.1
94.4
92.8
92.6
92.3
92.1
89.8
87.4
87.7
86.3
89.1
90.4
87.1
86.7
84.4
88.4
88.9
88.5
87.2
86.2
83.4
87.5
85.7
87.4
86.8
87.9
85.9
87.7
87
86.8
86.2
86.1
87.5
85.7
88.9
89.8
91.4
95.2
94.1
96.8
96.1
96.6
94.2
93.9
96.5
93.4
95
95.2
94
97
96.9
96.3
96.3
97.3
95.7
96.4
95.1
94.6
95.9
96.2
94.3
98.3
95.9
92.1
94.6
94.7
96.7
97.5
96.2
97.1
95.9
94.5
99.4
101.3
101.4
100.9
101.4
103.1
102.4
101.1
102
103.9
101.7
101.2
101.9
101.1
103.1
103.3
101.4
102.8
103
102.6
102.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82726&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82726&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82726&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.10044386543250.975043474509177
0.0284.96353237570970.761588843243583
0.0385.54163666669110.471474932110788
0.0485.87127574124630.328158624328601
0.0586.08307341933120.303103953712288
0.0686.25535266090860.322171588559938
0.0786.41855309638320.350377202046982
0.0886.58026093103320.370040470681100
0.0986.73935363676660.376345051945932
0.186.892951968290.37448997451493
0.1187.03991385672150.373351899797732
0.1287.18188785957660.380835435158771
0.1387.32292814872940.403512257570675
0.1487.4686115519390.445828138827259
0.1587.62504758305480.508626100125924
0.1687.79788810974550.588360070335575
0.1787.99152504517810.679770705507042
0.1888.2087186322460.777552089981387
0.1988.45070976963830.877911183605934
0.288.71757751254320.979087877709757
0.2189.00846841315721.07865227928352
0.2289.32146658694981.17155641054945
0.2389.65318932339441.25003278880686
0.2489.99845847971651.30516055054183
0.2590.35043406937861.32992476384273
0.2690.7013818107451.32172209642799
0.2791.04391361463231.28475600490775
0.2891.37228046841441.2283974986758
0.2991.6832457641071.16463744206553
0.391.97623666844331.10467341944936
0.3192.25276347722251.05555545505623
0.3292.51536886598311.01828717866948
0.3392.76650780787190.989536907200072
0.3493.00772789512380.962618957637446
0.3593.23935906057230.931668604663394
0.3693.46071532295250.893430420872588
0.3793.67064320284460.847261580263656
0.3893.8681727563170.796173050744202
0.3994.0530441716260.745120046516592
0.494.22596672215470.698921398304899
0.4194.3885737376220.661607768605109
0.4294.54312843447880.635645516987417
0.4394.69208927430150.620913035513696
0.4494.83765690433960.614808367198356
0.4594.98140710013580.613717166005387
0.4695.12407903235220.613259452686914
0.4795.26554717183860.609542514660676
0.4895.40496579571320.599826008555672
0.4995.54104217041880.582724824447199
0.595.67237209023720.558898712883168
0.5195.7977633823740.529671785140019
0.5295.91648159614470.498123113356083
0.5396.02837611723240.467047406202632
0.5496.1338784337330.439178492561816
0.5596.23389767212030.416315531745157
0.5696.3296617749450.399545327760515
0.5796.42255903208380.389109172427812
0.5896.51402324125690.384708720276126
0.5996.60548196003110.385811537227837
0.696.6983606937810.392691268583520
0.6196.79411652200870.405316440717384
0.6296.8942693462590.424196139358499
0.6397.00040848232390.449383769848423
0.6497.11417131288660.481223831957421
0.6597.23720963965260.518883733924502
0.6697.3711684203050.562384869865818
0.6797.51769474675220.610863738319009
0.6897.6784727427150.665080002996978
0.6997.85524990109110.724827322516317
0.798.04979443830940.790116799932419
0.7198.2637150937990.860382882844495
0.7298.4980955332250.932931634882778
0.7398.75294964269351.00255896497674
0.7499.02658500915851.06210424177992
0.7599.3150482775541.10222550951368
0.7699.61188166239681.11375210367540
0.7799.9084036104551.08929189626156
0.78100.1946137074491.02625538524174
0.79100.4606281572470.928145632072466
0.8100.6983428365220.804299417882096
0.81100.9028888948720.668863656538832
0.82101.0734631866820.537512213401159
0.83101.2132892135080.4240464642943
0.84101.3287289333440.338087171060815
0.85101.4278229182630.283438890233063
0.86101.5187011504660.257192981031737
0.87101.6083306330150.251856201241454
0.88101.7019353120610.258493508669902
0.89101.8031667562240.270904748926712
0.9101.9148018156150.286455648842953
0.91102.0394943224190.304966898888235
0.92102.1799556783440.326252426247524
0.93102.3379203940180.346816652601111
0.94102.5116582121930.35701716956752
0.95102.6933628095870.342108425255677
0.96102.8711830550790.293177303180741
0.97103.0448045983990.230216860899947
0.98103.2577132380350.233316688995378
0.99103.5843961540540.393772110798616

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.1004438654325 & 0.975043474509177 \tabularnewline
0.02 & 84.9635323757097 & 0.761588843243583 \tabularnewline
0.03 & 85.5416366666911 & 0.471474932110788 \tabularnewline
0.04 & 85.8712757412463 & 0.328158624328601 \tabularnewline
0.05 & 86.0830734193312 & 0.303103953712288 \tabularnewline
0.06 & 86.2553526609086 & 0.322171588559938 \tabularnewline
0.07 & 86.4185530963832 & 0.350377202046982 \tabularnewline
0.08 & 86.5802609310332 & 0.370040470681100 \tabularnewline
0.09 & 86.7393536367666 & 0.376345051945932 \tabularnewline
0.1 & 86.89295196829 & 0.37448997451493 \tabularnewline
0.11 & 87.0399138567215 & 0.373351899797732 \tabularnewline
0.12 & 87.1818878595766 & 0.380835435158771 \tabularnewline
0.13 & 87.3229281487294 & 0.403512257570675 \tabularnewline
0.14 & 87.468611551939 & 0.445828138827259 \tabularnewline
0.15 & 87.6250475830548 & 0.508626100125924 \tabularnewline
0.16 & 87.7978881097455 & 0.588360070335575 \tabularnewline
0.17 & 87.9915250451781 & 0.679770705507042 \tabularnewline
0.18 & 88.208718632246 & 0.777552089981387 \tabularnewline
0.19 & 88.4507097696383 & 0.877911183605934 \tabularnewline
0.2 & 88.7175775125432 & 0.979087877709757 \tabularnewline
0.21 & 89.0084684131572 & 1.07865227928352 \tabularnewline
0.22 & 89.3214665869498 & 1.17155641054945 \tabularnewline
0.23 & 89.6531893233944 & 1.25003278880686 \tabularnewline
0.24 & 89.9984584797165 & 1.30516055054183 \tabularnewline
0.25 & 90.3504340693786 & 1.32992476384273 \tabularnewline
0.26 & 90.701381810745 & 1.32172209642799 \tabularnewline
0.27 & 91.0439136146323 & 1.28475600490775 \tabularnewline
0.28 & 91.3722804684144 & 1.2283974986758 \tabularnewline
0.29 & 91.683245764107 & 1.16463744206553 \tabularnewline
0.3 & 91.9762366684433 & 1.10467341944936 \tabularnewline
0.31 & 92.2527634772225 & 1.05555545505623 \tabularnewline
0.32 & 92.5153688659831 & 1.01828717866948 \tabularnewline
0.33 & 92.7665078078719 & 0.989536907200072 \tabularnewline
0.34 & 93.0077278951238 & 0.962618957637446 \tabularnewline
0.35 & 93.2393590605723 & 0.931668604663394 \tabularnewline
0.36 & 93.4607153229525 & 0.893430420872588 \tabularnewline
0.37 & 93.6706432028446 & 0.847261580263656 \tabularnewline
0.38 & 93.868172756317 & 0.796173050744202 \tabularnewline
0.39 & 94.053044171626 & 0.745120046516592 \tabularnewline
0.4 & 94.2259667221547 & 0.698921398304899 \tabularnewline
0.41 & 94.388573737622 & 0.661607768605109 \tabularnewline
0.42 & 94.5431284344788 & 0.635645516987417 \tabularnewline
0.43 & 94.6920892743015 & 0.620913035513696 \tabularnewline
0.44 & 94.8376569043396 & 0.614808367198356 \tabularnewline
0.45 & 94.9814071001358 & 0.613717166005387 \tabularnewline
0.46 & 95.1240790323522 & 0.613259452686914 \tabularnewline
0.47 & 95.2655471718386 & 0.609542514660676 \tabularnewline
0.48 & 95.4049657957132 & 0.599826008555672 \tabularnewline
0.49 & 95.5410421704188 & 0.582724824447199 \tabularnewline
0.5 & 95.6723720902372 & 0.558898712883168 \tabularnewline
0.51 & 95.797763382374 & 0.529671785140019 \tabularnewline
0.52 & 95.9164815961447 & 0.498123113356083 \tabularnewline
0.53 & 96.0283761172324 & 0.467047406202632 \tabularnewline
0.54 & 96.133878433733 & 0.439178492561816 \tabularnewline
0.55 & 96.2338976721203 & 0.416315531745157 \tabularnewline
0.56 & 96.329661774945 & 0.399545327760515 \tabularnewline
0.57 & 96.4225590320838 & 0.389109172427812 \tabularnewline
0.58 & 96.5140232412569 & 0.384708720276126 \tabularnewline
0.59 & 96.6054819600311 & 0.385811537227837 \tabularnewline
0.6 & 96.698360693781 & 0.392691268583520 \tabularnewline
0.61 & 96.7941165220087 & 0.405316440717384 \tabularnewline
0.62 & 96.894269346259 & 0.424196139358499 \tabularnewline
0.63 & 97.0004084823239 & 0.449383769848423 \tabularnewline
0.64 & 97.1141713128866 & 0.481223831957421 \tabularnewline
0.65 & 97.2372096396526 & 0.518883733924502 \tabularnewline
0.66 & 97.371168420305 & 0.562384869865818 \tabularnewline
0.67 & 97.5176947467522 & 0.610863738319009 \tabularnewline
0.68 & 97.678472742715 & 0.665080002996978 \tabularnewline
0.69 & 97.8552499010911 & 0.724827322516317 \tabularnewline
0.7 & 98.0497944383094 & 0.790116799932419 \tabularnewline
0.71 & 98.263715093799 & 0.860382882844495 \tabularnewline
0.72 & 98.498095533225 & 0.932931634882778 \tabularnewline
0.73 & 98.7529496426935 & 1.00255896497674 \tabularnewline
0.74 & 99.0265850091585 & 1.06210424177992 \tabularnewline
0.75 & 99.315048277554 & 1.10222550951368 \tabularnewline
0.76 & 99.6118816623968 & 1.11375210367540 \tabularnewline
0.77 & 99.908403610455 & 1.08929189626156 \tabularnewline
0.78 & 100.194613707449 & 1.02625538524174 \tabularnewline
0.79 & 100.460628157247 & 0.928145632072466 \tabularnewline
0.8 & 100.698342836522 & 0.804299417882096 \tabularnewline
0.81 & 100.902888894872 & 0.668863656538832 \tabularnewline
0.82 & 101.073463186682 & 0.537512213401159 \tabularnewline
0.83 & 101.213289213508 & 0.4240464642943 \tabularnewline
0.84 & 101.328728933344 & 0.338087171060815 \tabularnewline
0.85 & 101.427822918263 & 0.283438890233063 \tabularnewline
0.86 & 101.518701150466 & 0.257192981031737 \tabularnewline
0.87 & 101.608330633015 & 0.251856201241454 \tabularnewline
0.88 & 101.701935312061 & 0.258493508669902 \tabularnewline
0.89 & 101.803166756224 & 0.270904748926712 \tabularnewline
0.9 & 101.914801815615 & 0.286455648842953 \tabularnewline
0.91 & 102.039494322419 & 0.304966898888235 \tabularnewline
0.92 & 102.179955678344 & 0.326252426247524 \tabularnewline
0.93 & 102.337920394018 & 0.346816652601111 \tabularnewline
0.94 & 102.511658212193 & 0.35701716956752 \tabularnewline
0.95 & 102.693362809587 & 0.342108425255677 \tabularnewline
0.96 & 102.871183055079 & 0.293177303180741 \tabularnewline
0.97 & 103.044804598399 & 0.230216860899947 \tabularnewline
0.98 & 103.257713238035 & 0.233316688995378 \tabularnewline
0.99 & 103.584396154054 & 0.393772110798616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82726&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]84.1004438654325[/C][C]0.975043474509177[/C][/ROW]
[ROW][C]0.02[/C][C]84.9635323757097[/C][C]0.761588843243583[/C][/ROW]
[ROW][C]0.03[/C][C]85.5416366666911[/C][C]0.471474932110788[/C][/ROW]
[ROW][C]0.04[/C][C]85.8712757412463[/C][C]0.328158624328601[/C][/ROW]
[ROW][C]0.05[/C][C]86.0830734193312[/C][C]0.303103953712288[/C][/ROW]
[ROW][C]0.06[/C][C]86.2553526609086[/C][C]0.322171588559938[/C][/ROW]
[ROW][C]0.07[/C][C]86.4185530963832[/C][C]0.350377202046982[/C][/ROW]
[ROW][C]0.08[/C][C]86.5802609310332[/C][C]0.370040470681100[/C][/ROW]
[ROW][C]0.09[/C][C]86.7393536367666[/C][C]0.376345051945932[/C][/ROW]
[ROW][C]0.1[/C][C]86.89295196829[/C][C]0.37448997451493[/C][/ROW]
[ROW][C]0.11[/C][C]87.0399138567215[/C][C]0.373351899797732[/C][/ROW]
[ROW][C]0.12[/C][C]87.1818878595766[/C][C]0.380835435158771[/C][/ROW]
[ROW][C]0.13[/C][C]87.3229281487294[/C][C]0.403512257570675[/C][/ROW]
[ROW][C]0.14[/C][C]87.468611551939[/C][C]0.445828138827259[/C][/ROW]
[ROW][C]0.15[/C][C]87.6250475830548[/C][C]0.508626100125924[/C][/ROW]
[ROW][C]0.16[/C][C]87.7978881097455[/C][C]0.588360070335575[/C][/ROW]
[ROW][C]0.17[/C][C]87.9915250451781[/C][C]0.679770705507042[/C][/ROW]
[ROW][C]0.18[/C][C]88.208718632246[/C][C]0.777552089981387[/C][/ROW]
[ROW][C]0.19[/C][C]88.4507097696383[/C][C]0.877911183605934[/C][/ROW]
[ROW][C]0.2[/C][C]88.7175775125432[/C][C]0.979087877709757[/C][/ROW]
[ROW][C]0.21[/C][C]89.0084684131572[/C][C]1.07865227928352[/C][/ROW]
[ROW][C]0.22[/C][C]89.3214665869498[/C][C]1.17155641054945[/C][/ROW]
[ROW][C]0.23[/C][C]89.6531893233944[/C][C]1.25003278880686[/C][/ROW]
[ROW][C]0.24[/C][C]89.9984584797165[/C][C]1.30516055054183[/C][/ROW]
[ROW][C]0.25[/C][C]90.3504340693786[/C][C]1.32992476384273[/C][/ROW]
[ROW][C]0.26[/C][C]90.701381810745[/C][C]1.32172209642799[/C][/ROW]
[ROW][C]0.27[/C][C]91.0439136146323[/C][C]1.28475600490775[/C][/ROW]
[ROW][C]0.28[/C][C]91.3722804684144[/C][C]1.2283974986758[/C][/ROW]
[ROW][C]0.29[/C][C]91.683245764107[/C][C]1.16463744206553[/C][/ROW]
[ROW][C]0.3[/C][C]91.9762366684433[/C][C]1.10467341944936[/C][/ROW]
[ROW][C]0.31[/C][C]92.2527634772225[/C][C]1.05555545505623[/C][/ROW]
[ROW][C]0.32[/C][C]92.5153688659831[/C][C]1.01828717866948[/C][/ROW]
[ROW][C]0.33[/C][C]92.7665078078719[/C][C]0.989536907200072[/C][/ROW]
[ROW][C]0.34[/C][C]93.0077278951238[/C][C]0.962618957637446[/C][/ROW]
[ROW][C]0.35[/C][C]93.2393590605723[/C][C]0.931668604663394[/C][/ROW]
[ROW][C]0.36[/C][C]93.4607153229525[/C][C]0.893430420872588[/C][/ROW]
[ROW][C]0.37[/C][C]93.6706432028446[/C][C]0.847261580263656[/C][/ROW]
[ROW][C]0.38[/C][C]93.868172756317[/C][C]0.796173050744202[/C][/ROW]
[ROW][C]0.39[/C][C]94.053044171626[/C][C]0.745120046516592[/C][/ROW]
[ROW][C]0.4[/C][C]94.2259667221547[/C][C]0.698921398304899[/C][/ROW]
[ROW][C]0.41[/C][C]94.388573737622[/C][C]0.661607768605109[/C][/ROW]
[ROW][C]0.42[/C][C]94.5431284344788[/C][C]0.635645516987417[/C][/ROW]
[ROW][C]0.43[/C][C]94.6920892743015[/C][C]0.620913035513696[/C][/ROW]
[ROW][C]0.44[/C][C]94.8376569043396[/C][C]0.614808367198356[/C][/ROW]
[ROW][C]0.45[/C][C]94.9814071001358[/C][C]0.613717166005387[/C][/ROW]
[ROW][C]0.46[/C][C]95.1240790323522[/C][C]0.613259452686914[/C][/ROW]
[ROW][C]0.47[/C][C]95.2655471718386[/C][C]0.609542514660676[/C][/ROW]
[ROW][C]0.48[/C][C]95.4049657957132[/C][C]0.599826008555672[/C][/ROW]
[ROW][C]0.49[/C][C]95.5410421704188[/C][C]0.582724824447199[/C][/ROW]
[ROW][C]0.5[/C][C]95.6723720902372[/C][C]0.558898712883168[/C][/ROW]
[ROW][C]0.51[/C][C]95.797763382374[/C][C]0.529671785140019[/C][/ROW]
[ROW][C]0.52[/C][C]95.9164815961447[/C][C]0.498123113356083[/C][/ROW]
[ROW][C]0.53[/C][C]96.0283761172324[/C][C]0.467047406202632[/C][/ROW]
[ROW][C]0.54[/C][C]96.133878433733[/C][C]0.439178492561816[/C][/ROW]
[ROW][C]0.55[/C][C]96.2338976721203[/C][C]0.416315531745157[/C][/ROW]
[ROW][C]0.56[/C][C]96.329661774945[/C][C]0.399545327760515[/C][/ROW]
[ROW][C]0.57[/C][C]96.4225590320838[/C][C]0.389109172427812[/C][/ROW]
[ROW][C]0.58[/C][C]96.5140232412569[/C][C]0.384708720276126[/C][/ROW]
[ROW][C]0.59[/C][C]96.6054819600311[/C][C]0.385811537227837[/C][/ROW]
[ROW][C]0.6[/C][C]96.698360693781[/C][C]0.392691268583520[/C][/ROW]
[ROW][C]0.61[/C][C]96.7941165220087[/C][C]0.405316440717384[/C][/ROW]
[ROW][C]0.62[/C][C]96.894269346259[/C][C]0.424196139358499[/C][/ROW]
[ROW][C]0.63[/C][C]97.0004084823239[/C][C]0.449383769848423[/C][/ROW]
[ROW][C]0.64[/C][C]97.1141713128866[/C][C]0.481223831957421[/C][/ROW]
[ROW][C]0.65[/C][C]97.2372096396526[/C][C]0.518883733924502[/C][/ROW]
[ROW][C]0.66[/C][C]97.371168420305[/C][C]0.562384869865818[/C][/ROW]
[ROW][C]0.67[/C][C]97.5176947467522[/C][C]0.610863738319009[/C][/ROW]
[ROW][C]0.68[/C][C]97.678472742715[/C][C]0.665080002996978[/C][/ROW]
[ROW][C]0.69[/C][C]97.8552499010911[/C][C]0.724827322516317[/C][/ROW]
[ROW][C]0.7[/C][C]98.0497944383094[/C][C]0.790116799932419[/C][/ROW]
[ROW][C]0.71[/C][C]98.263715093799[/C][C]0.860382882844495[/C][/ROW]
[ROW][C]0.72[/C][C]98.498095533225[/C][C]0.932931634882778[/C][/ROW]
[ROW][C]0.73[/C][C]98.7529496426935[/C][C]1.00255896497674[/C][/ROW]
[ROW][C]0.74[/C][C]99.0265850091585[/C][C]1.06210424177992[/C][/ROW]
[ROW][C]0.75[/C][C]99.315048277554[/C][C]1.10222550951368[/C][/ROW]
[ROW][C]0.76[/C][C]99.6118816623968[/C][C]1.11375210367540[/C][/ROW]
[ROW][C]0.77[/C][C]99.908403610455[/C][C]1.08929189626156[/C][/ROW]
[ROW][C]0.78[/C][C]100.194613707449[/C][C]1.02625538524174[/C][/ROW]
[ROW][C]0.79[/C][C]100.460628157247[/C][C]0.928145632072466[/C][/ROW]
[ROW][C]0.8[/C][C]100.698342836522[/C][C]0.804299417882096[/C][/ROW]
[ROW][C]0.81[/C][C]100.902888894872[/C][C]0.668863656538832[/C][/ROW]
[ROW][C]0.82[/C][C]101.073463186682[/C][C]0.537512213401159[/C][/ROW]
[ROW][C]0.83[/C][C]101.213289213508[/C][C]0.4240464642943[/C][/ROW]
[ROW][C]0.84[/C][C]101.328728933344[/C][C]0.338087171060815[/C][/ROW]
[ROW][C]0.85[/C][C]101.427822918263[/C][C]0.283438890233063[/C][/ROW]
[ROW][C]0.86[/C][C]101.518701150466[/C][C]0.257192981031737[/C][/ROW]
[ROW][C]0.87[/C][C]101.608330633015[/C][C]0.251856201241454[/C][/ROW]
[ROW][C]0.88[/C][C]101.701935312061[/C][C]0.258493508669902[/C][/ROW]
[ROW][C]0.89[/C][C]101.803166756224[/C][C]0.270904748926712[/C][/ROW]
[ROW][C]0.9[/C][C]101.914801815615[/C][C]0.286455648842953[/C][/ROW]
[ROW][C]0.91[/C][C]102.039494322419[/C][C]0.304966898888235[/C][/ROW]
[ROW][C]0.92[/C][C]102.179955678344[/C][C]0.326252426247524[/C][/ROW]
[ROW][C]0.93[/C][C]102.337920394018[/C][C]0.346816652601111[/C][/ROW]
[ROW][C]0.94[/C][C]102.511658212193[/C][C]0.35701716956752[/C][/ROW]
[ROW][C]0.95[/C][C]102.693362809587[/C][C]0.342108425255677[/C][/ROW]
[ROW][C]0.96[/C][C]102.871183055079[/C][C]0.293177303180741[/C][/ROW]
[ROW][C]0.97[/C][C]103.044804598399[/C][C]0.230216860899947[/C][/ROW]
[ROW][C]0.98[/C][C]103.257713238035[/C][C]0.233316688995378[/C][/ROW]
[ROW][C]0.99[/C][C]103.584396154054[/C][C]0.393772110798616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82726&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82726&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
0.0184.10044386543250.975043474509177
0.0284.96353237570970.761588843243583
0.0385.54163666669110.471474932110788
0.0485.87127574124630.328158624328601
0.0586.08307341933120.303103953712288
0.0686.25535266090860.322171588559938
0.0786.41855309638320.350377202046982
0.0886.58026093103320.370040470681100
0.0986.73935363676660.376345051945932
0.186.892951968290.37448997451493
0.1187.03991385672150.373351899797732
0.1287.18188785957660.380835435158771
0.1387.32292814872940.403512257570675
0.1487.4686115519390.445828138827259
0.1587.62504758305480.508626100125924
0.1687.79788810974550.588360070335575
0.1787.99152504517810.679770705507042
0.1888.2087186322460.777552089981387
0.1988.45070976963830.877911183605934
0.288.71757751254320.979087877709757
0.2189.00846841315721.07865227928352
0.2289.32146658694981.17155641054945
0.2389.65318932339441.25003278880686
0.2489.99845847971651.30516055054183
0.2590.35043406937861.32992476384273
0.2690.7013818107451.32172209642799
0.2791.04391361463231.28475600490775
0.2891.37228046841441.2283974986758
0.2991.6832457641071.16463744206553
0.391.97623666844331.10467341944936
0.3192.25276347722251.05555545505623
0.3292.51536886598311.01828717866948
0.3392.76650780787190.989536907200072
0.3493.00772789512380.962618957637446
0.3593.23935906057230.931668604663394
0.3693.46071532295250.893430420872588
0.3793.67064320284460.847261580263656
0.3893.8681727563170.796173050744202
0.3994.0530441716260.745120046516592
0.494.22596672215470.698921398304899
0.4194.3885737376220.661607768605109
0.4294.54312843447880.635645516987417
0.4394.69208927430150.620913035513696
0.4494.83765690433960.614808367198356
0.4594.98140710013580.613717166005387
0.4695.12407903235220.613259452686914
0.4795.26554717183860.609542514660676
0.4895.40496579571320.599826008555672
0.4995.54104217041880.582724824447199
0.595.67237209023720.558898712883168
0.5195.7977633823740.529671785140019
0.5295.91648159614470.498123113356083
0.5396.02837611723240.467047406202632
0.5496.1338784337330.439178492561816
0.5596.23389767212030.416315531745157
0.5696.3296617749450.399545327760515
0.5796.42255903208380.389109172427812
0.5896.51402324125690.384708720276126
0.5996.60548196003110.385811537227837
0.696.6983606937810.392691268583520
0.6196.79411652200870.405316440717384
0.6296.8942693462590.424196139358499
0.6397.00040848232390.449383769848423
0.6497.11417131288660.481223831957421
0.6597.23720963965260.518883733924502
0.6697.3711684203050.562384869865818
0.6797.51769474675220.610863738319009
0.6897.6784727427150.665080002996978
0.6997.85524990109110.724827322516317
0.798.04979443830940.790116799932419
0.7198.2637150937990.860382882844495
0.7298.4980955332250.932931634882778
0.7398.75294964269351.00255896497674
0.7499.02658500915851.06210424177992
0.7599.3150482775541.10222550951368
0.7699.61188166239681.11375210367540
0.7799.9084036104551.08929189626156
0.78100.1946137074491.02625538524174
0.79100.4606281572470.928145632072466
0.8100.6983428365220.804299417882096
0.81100.9028888948720.668863656538832
0.82101.0734631866820.537512213401159
0.83101.2132892135080.4240464642943
0.84101.3287289333440.338087171060815
0.85101.4278229182630.283438890233063
0.86101.5187011504660.257192981031737
0.87101.6083306330150.251856201241454
0.88101.7019353120610.258493508669902
0.89101.8031667562240.270904748926712
0.9101.9148018156150.286455648842953
0.91102.0394943224190.304966898888235
0.92102.1799556783440.326252426247524
0.93102.3379203940180.346816652601111
0.94102.5116582121930.35701716956752
0.95102.6933628095870.342108425255677
0.96102.8711830550790.293177303180741
0.97103.0448045983990.230216860899947
0.98103.2577132380350.233316688995378
0.99103.5843961540540.393772110798616


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')