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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 07 Oct 2013 14:42:59 -0400
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/Oct/07/t1381171441gzx9qpqxp2r93k8.htm/, Retrieved Fri, 03 May 2024 10:14:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213741, Retrieved Fri, 03 May 2024 10:14:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-07 18:42:59] [5084d5e36b1f8e83675c5d3d354927b3] [Current]
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Dataseries X:
1.94
1.82
1.8
1.79
1.79
1.78
1.81
1.84
1.87
1.87
1.87
1.84
1.82
1.83
1.83
1.82
1.83
1.87
1.88
1.9
1.98
2.03
2.14
2.42
2.73
2.84
2.85
2.94
3.06
3.24
3.18
3.01
2.87
2.73
2.63
2.39
2.26
2.11
2.01
1.99
1.96
1.93
1.98
2.07
2.24
2.31
2.23
2.26
2.28
2.3
2.33
2.26
2.24
2.47
2.55
2.89
3.21
3.21
2.92
2.68
2.4
2.28
2.24
2.2
2.18
2.23
2.24
2.25
2.23
2.25
2.23
2.21
2.17
2.17
2.13
2.12
2.13
2.17
2.33
2.5
2.57
2.59
2.58
2.31




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213741&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213741&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.78350854275970.00797638805109291
0.021.788639480057660.0075843420729528
0.031.794076453950960.00949600417893667
0.041.799616554159980.0113449850371835
0.051.80516269552240.0119498994143309
0.061.810446055760470.0115022443893622
0.071.815250884124280.0107339793706316
0.081.819566828630880.0103445541507038
0.091.823563089143940.010716978190963
0.11.827488366436130.0118946710819045
0.111.831583165934080.0137131601589618
0.121.836032361617540.015952271038881
0.131.840953397450570.0184080411005128
0.141.84640743410150.0209528824161589
0.151.852422053684750.0235602615550797
0.161.859015981769510.0263156045442303
0.171.866217517040440.029343131677809
0.181.874070940595910.0327420722959351
0.191.882629929244230.0365048776338468
0.21.891942331948790.0405148413903064
0.211.902033963412670.0445832028526669
0.221.912898704310950.0485189881798936
0.231.924498579777610.0521892153796028
0.241.93677262693650.0555432037087861
0.251.949649615846830.0586052349915365
0.261.963058566571370.0614351985404971
0.271.976932633657210.0640714604024603
0.281.991205252354890.0664825321148784
0.292.00580088277430.0685583598232596
0.32.020624877779470.0701305444277096
0.312.035557257188090.071005077043446
0.322.050453630244180.0710340858582016
0.332.065153928214830.0701490098898945
0.342.079496996432480.0683753032334504
0.352.093337319602140.0658524028713674
0.362.106559680079060.062786479422344
0.372.119088353752260.0594167147034494
0.382.130889118047630.0559763115368741
0.392.141964279354410.0526426942102497
0.42.152342554022410.0495297542954792
0.412.162066583125740.0466620633410765
0.422.171181008248620.044009911924859
0.432.179723492869430.0414958965995171
0.442.187720093346720.0390312652981708
0.452.195185262185370.0365521238867343
0.462.20212576836930.0340196288308323
0.472.208547129705450.0314481986546632
0.482.214460858035850.0288923649145095
0.492.219890914163830.0264390313395908
0.52.224878173511090.0242020374876607
0.512.229482284393540.0222978619481196
0.522.233780910216620.0208350260469394
0.532.23786685405380.019898329611931
0.542.241843883195170.0195375783844372
0.552.24582217519380.019769431972443
0.562.249914222899540.0205919711043741
0.572.254231825484630.0219612811882573
0.582.258884523765330.023848219590216
0.592.263979561993120.0262160676151749
0.62.269623196941540.029057120849114
0.612.275922928102540.032367138503173
0.622.282989986415360.0361643507756228
0.632.290941209088320.0404757084409913
0.642.299899294194670.04532090104877
0.652.30999044950940.0507236271511777
0.662.321338709225730.0566370066717426
0.672.334056741688960.0629823582394834
0.682.348233794562150.0696040845407635
0.692.363922411701890.0762792794564034
0.72.381126502823160.0827256899759098
0.712.399793970511050.0886469869480607
0.722.419817086982440.0937567244844374
0.732.441042901050860.0978398590271651
0.742.463294038382030.100805859561049
0.752.486397511974780.102722553893184
0.762.510216130362450.103821622737399
0.772.534674668946350.104473846712374
0.782.559772199946620.105094950923175
0.792.585573711993480.106039119156249
0.82.612178661154390.107447226908445
0.812.639670794894410.109186804785583
0.822.668061014263680.110821378286217
0.832.697241089223030.111727040603389
0.842.726968418814870.111252556340094
0.852.756898780803070.108947823693475
0.862.786674195587910.104766431213853
0.872.816057376973020.0992198675668976
0.882.845085515133220.0934172702221363
0.892.874198402170070.088921065061075
0.92.904282660346230.0873566794683026
0.912.936566852933220.0897301983459265
0.922.972305886176850.0956558432880259
0.933.012227212644610.102874551243476
0.943.055822906007110.10729284595907
0.953.100807312133630.103866647077477
0.963.143343432013560.0889913891028022
0.973.179561989688680.0641676839588921
0.983.20771951028660.0385965856354293
0.993.228242756670490.0269430788668272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.7835085427597 & 0.00797638805109291 \tabularnewline
0.02 & 1.78863948005766 & 0.0075843420729528 \tabularnewline
0.03 & 1.79407645395096 & 0.00949600417893667 \tabularnewline
0.04 & 1.79961655415998 & 0.0113449850371835 \tabularnewline
0.05 & 1.8051626955224 & 0.0119498994143309 \tabularnewline
0.06 & 1.81044605576047 & 0.0115022443893622 \tabularnewline
0.07 & 1.81525088412428 & 0.0107339793706316 \tabularnewline
0.08 & 1.81956682863088 & 0.0103445541507038 \tabularnewline
0.09 & 1.82356308914394 & 0.010716978190963 \tabularnewline
0.1 & 1.82748836643613 & 0.0118946710819045 \tabularnewline
0.11 & 1.83158316593408 & 0.0137131601589618 \tabularnewline
0.12 & 1.83603236161754 & 0.015952271038881 \tabularnewline
0.13 & 1.84095339745057 & 0.0184080411005128 \tabularnewline
0.14 & 1.8464074341015 & 0.0209528824161589 \tabularnewline
0.15 & 1.85242205368475 & 0.0235602615550797 \tabularnewline
0.16 & 1.85901598176951 & 0.0263156045442303 \tabularnewline
0.17 & 1.86621751704044 & 0.029343131677809 \tabularnewline
0.18 & 1.87407094059591 & 0.0327420722959351 \tabularnewline
0.19 & 1.88262992924423 & 0.0365048776338468 \tabularnewline
0.2 & 1.89194233194879 & 0.0405148413903064 \tabularnewline
0.21 & 1.90203396341267 & 0.0445832028526669 \tabularnewline
0.22 & 1.91289870431095 & 0.0485189881798936 \tabularnewline
0.23 & 1.92449857977761 & 0.0521892153796028 \tabularnewline
0.24 & 1.9367726269365 & 0.0555432037087861 \tabularnewline
0.25 & 1.94964961584683 & 0.0586052349915365 \tabularnewline
0.26 & 1.96305856657137 & 0.0614351985404971 \tabularnewline
0.27 & 1.97693263365721 & 0.0640714604024603 \tabularnewline
0.28 & 1.99120525235489 & 0.0664825321148784 \tabularnewline
0.29 & 2.0058008827743 & 0.0685583598232596 \tabularnewline
0.3 & 2.02062487777947 & 0.0701305444277096 \tabularnewline
0.31 & 2.03555725718809 & 0.071005077043446 \tabularnewline
0.32 & 2.05045363024418 & 0.0710340858582016 \tabularnewline
0.33 & 2.06515392821483 & 0.0701490098898945 \tabularnewline
0.34 & 2.07949699643248 & 0.0683753032334504 \tabularnewline
0.35 & 2.09333731960214 & 0.0658524028713674 \tabularnewline
0.36 & 2.10655968007906 & 0.062786479422344 \tabularnewline
0.37 & 2.11908835375226 & 0.0594167147034494 \tabularnewline
0.38 & 2.13088911804763 & 0.0559763115368741 \tabularnewline
0.39 & 2.14196427935441 & 0.0526426942102497 \tabularnewline
0.4 & 2.15234255402241 & 0.0495297542954792 \tabularnewline
0.41 & 2.16206658312574 & 0.0466620633410765 \tabularnewline
0.42 & 2.17118100824862 & 0.044009911924859 \tabularnewline
0.43 & 2.17972349286943 & 0.0414958965995171 \tabularnewline
0.44 & 2.18772009334672 & 0.0390312652981708 \tabularnewline
0.45 & 2.19518526218537 & 0.0365521238867343 \tabularnewline
0.46 & 2.2021257683693 & 0.0340196288308323 \tabularnewline
0.47 & 2.20854712970545 & 0.0314481986546632 \tabularnewline
0.48 & 2.21446085803585 & 0.0288923649145095 \tabularnewline
0.49 & 2.21989091416383 & 0.0264390313395908 \tabularnewline
0.5 & 2.22487817351109 & 0.0242020374876607 \tabularnewline
0.51 & 2.22948228439354 & 0.0222978619481196 \tabularnewline
0.52 & 2.23378091021662 & 0.0208350260469394 \tabularnewline
0.53 & 2.2378668540538 & 0.019898329611931 \tabularnewline
0.54 & 2.24184388319517 & 0.0195375783844372 \tabularnewline
0.55 & 2.2458221751938 & 0.019769431972443 \tabularnewline
0.56 & 2.24991422289954 & 0.0205919711043741 \tabularnewline
0.57 & 2.25423182548463 & 0.0219612811882573 \tabularnewline
0.58 & 2.25888452376533 & 0.023848219590216 \tabularnewline
0.59 & 2.26397956199312 & 0.0262160676151749 \tabularnewline
0.6 & 2.26962319694154 & 0.029057120849114 \tabularnewline
0.61 & 2.27592292810254 & 0.032367138503173 \tabularnewline
0.62 & 2.28298998641536 & 0.0361643507756228 \tabularnewline
0.63 & 2.29094120908832 & 0.0404757084409913 \tabularnewline
0.64 & 2.29989929419467 & 0.04532090104877 \tabularnewline
0.65 & 2.3099904495094 & 0.0507236271511777 \tabularnewline
0.66 & 2.32133870922573 & 0.0566370066717426 \tabularnewline
0.67 & 2.33405674168896 & 0.0629823582394834 \tabularnewline
0.68 & 2.34823379456215 & 0.0696040845407635 \tabularnewline
0.69 & 2.36392241170189 & 0.0762792794564034 \tabularnewline
0.7 & 2.38112650282316 & 0.0827256899759098 \tabularnewline
0.71 & 2.39979397051105 & 0.0886469869480607 \tabularnewline
0.72 & 2.41981708698244 & 0.0937567244844374 \tabularnewline
0.73 & 2.44104290105086 & 0.0978398590271651 \tabularnewline
0.74 & 2.46329403838203 & 0.100805859561049 \tabularnewline
0.75 & 2.48639751197478 & 0.102722553893184 \tabularnewline
0.76 & 2.51021613036245 & 0.103821622737399 \tabularnewline
0.77 & 2.53467466894635 & 0.104473846712374 \tabularnewline
0.78 & 2.55977219994662 & 0.105094950923175 \tabularnewline
0.79 & 2.58557371199348 & 0.106039119156249 \tabularnewline
0.8 & 2.61217866115439 & 0.107447226908445 \tabularnewline
0.81 & 2.63967079489441 & 0.109186804785583 \tabularnewline
0.82 & 2.66806101426368 & 0.110821378286217 \tabularnewline
0.83 & 2.69724108922303 & 0.111727040603389 \tabularnewline
0.84 & 2.72696841881487 & 0.111252556340094 \tabularnewline
0.85 & 2.75689878080307 & 0.108947823693475 \tabularnewline
0.86 & 2.78667419558791 & 0.104766431213853 \tabularnewline
0.87 & 2.81605737697302 & 0.0992198675668976 \tabularnewline
0.88 & 2.84508551513322 & 0.0934172702221363 \tabularnewline
0.89 & 2.87419840217007 & 0.088921065061075 \tabularnewline
0.9 & 2.90428266034623 & 0.0873566794683026 \tabularnewline
0.91 & 2.93656685293322 & 0.0897301983459265 \tabularnewline
0.92 & 2.97230588617685 & 0.0956558432880259 \tabularnewline
0.93 & 3.01222721264461 & 0.102874551243476 \tabularnewline
0.94 & 3.05582290600711 & 0.10729284595907 \tabularnewline
0.95 & 3.10080731213363 & 0.103866647077477 \tabularnewline
0.96 & 3.14334343201356 & 0.0889913891028022 \tabularnewline
0.97 & 3.17956198968868 & 0.0641676839588921 \tabularnewline
0.98 & 3.2077195102866 & 0.0385965856354293 \tabularnewline
0.99 & 3.22824275667049 & 0.0269430788668272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213741&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]1.7835085427597[/C][C]0.00797638805109291[/C][/ROW]
[ROW][C]0.02[/C][C]1.78863948005766[/C][C]0.0075843420729528[/C][/ROW]
[ROW][C]0.03[/C][C]1.79407645395096[/C][C]0.00949600417893667[/C][/ROW]
[ROW][C]0.04[/C][C]1.79961655415998[/C][C]0.0113449850371835[/C][/ROW]
[ROW][C]0.05[/C][C]1.8051626955224[/C][C]0.0119498994143309[/C][/ROW]
[ROW][C]0.06[/C][C]1.81044605576047[/C][C]0.0115022443893622[/C][/ROW]
[ROW][C]0.07[/C][C]1.81525088412428[/C][C]0.0107339793706316[/C][/ROW]
[ROW][C]0.08[/C][C]1.81956682863088[/C][C]0.0103445541507038[/C][/ROW]
[ROW][C]0.09[/C][C]1.82356308914394[/C][C]0.010716978190963[/C][/ROW]
[ROW][C]0.1[/C][C]1.82748836643613[/C][C]0.0118946710819045[/C][/ROW]
[ROW][C]0.11[/C][C]1.83158316593408[/C][C]0.0137131601589618[/C][/ROW]
[ROW][C]0.12[/C][C]1.83603236161754[/C][C]0.015952271038881[/C][/ROW]
[ROW][C]0.13[/C][C]1.84095339745057[/C][C]0.0184080411005128[/C][/ROW]
[ROW][C]0.14[/C][C]1.8464074341015[/C][C]0.0209528824161589[/C][/ROW]
[ROW][C]0.15[/C][C]1.85242205368475[/C][C]0.0235602615550797[/C][/ROW]
[ROW][C]0.16[/C][C]1.85901598176951[/C][C]0.0263156045442303[/C][/ROW]
[ROW][C]0.17[/C][C]1.86621751704044[/C][C]0.029343131677809[/C][/ROW]
[ROW][C]0.18[/C][C]1.87407094059591[/C][C]0.0327420722959351[/C][/ROW]
[ROW][C]0.19[/C][C]1.88262992924423[/C][C]0.0365048776338468[/C][/ROW]
[ROW][C]0.2[/C][C]1.89194233194879[/C][C]0.0405148413903064[/C][/ROW]
[ROW][C]0.21[/C][C]1.90203396341267[/C][C]0.0445832028526669[/C][/ROW]
[ROW][C]0.22[/C][C]1.91289870431095[/C][C]0.0485189881798936[/C][/ROW]
[ROW][C]0.23[/C][C]1.92449857977761[/C][C]0.0521892153796028[/C][/ROW]
[ROW][C]0.24[/C][C]1.9367726269365[/C][C]0.0555432037087861[/C][/ROW]
[ROW][C]0.25[/C][C]1.94964961584683[/C][C]0.0586052349915365[/C][/ROW]
[ROW][C]0.26[/C][C]1.96305856657137[/C][C]0.0614351985404971[/C][/ROW]
[ROW][C]0.27[/C][C]1.97693263365721[/C][C]0.0640714604024603[/C][/ROW]
[ROW][C]0.28[/C][C]1.99120525235489[/C][C]0.0664825321148784[/C][/ROW]
[ROW][C]0.29[/C][C]2.0058008827743[/C][C]0.0685583598232596[/C][/ROW]
[ROW][C]0.3[/C][C]2.02062487777947[/C][C]0.0701305444277096[/C][/ROW]
[ROW][C]0.31[/C][C]2.03555725718809[/C][C]0.071005077043446[/C][/ROW]
[ROW][C]0.32[/C][C]2.05045363024418[/C][C]0.0710340858582016[/C][/ROW]
[ROW][C]0.33[/C][C]2.06515392821483[/C][C]0.0701490098898945[/C][/ROW]
[ROW][C]0.34[/C][C]2.07949699643248[/C][C]0.0683753032334504[/C][/ROW]
[ROW][C]0.35[/C][C]2.09333731960214[/C][C]0.0658524028713674[/C][/ROW]
[ROW][C]0.36[/C][C]2.10655968007906[/C][C]0.062786479422344[/C][/ROW]
[ROW][C]0.37[/C][C]2.11908835375226[/C][C]0.0594167147034494[/C][/ROW]
[ROW][C]0.38[/C][C]2.13088911804763[/C][C]0.0559763115368741[/C][/ROW]
[ROW][C]0.39[/C][C]2.14196427935441[/C][C]0.0526426942102497[/C][/ROW]
[ROW][C]0.4[/C][C]2.15234255402241[/C][C]0.0495297542954792[/C][/ROW]
[ROW][C]0.41[/C][C]2.16206658312574[/C][C]0.0466620633410765[/C][/ROW]
[ROW][C]0.42[/C][C]2.17118100824862[/C][C]0.044009911924859[/C][/ROW]
[ROW][C]0.43[/C][C]2.17972349286943[/C][C]0.0414958965995171[/C][/ROW]
[ROW][C]0.44[/C][C]2.18772009334672[/C][C]0.0390312652981708[/C][/ROW]
[ROW][C]0.45[/C][C]2.19518526218537[/C][C]0.0365521238867343[/C][/ROW]
[ROW][C]0.46[/C][C]2.2021257683693[/C][C]0.0340196288308323[/C][/ROW]
[ROW][C]0.47[/C][C]2.20854712970545[/C][C]0.0314481986546632[/C][/ROW]
[ROW][C]0.48[/C][C]2.21446085803585[/C][C]0.0288923649145095[/C][/ROW]
[ROW][C]0.49[/C][C]2.21989091416383[/C][C]0.0264390313395908[/C][/ROW]
[ROW][C]0.5[/C][C]2.22487817351109[/C][C]0.0242020374876607[/C][/ROW]
[ROW][C]0.51[/C][C]2.22948228439354[/C][C]0.0222978619481196[/C][/ROW]
[ROW][C]0.52[/C][C]2.23378091021662[/C][C]0.0208350260469394[/C][/ROW]
[ROW][C]0.53[/C][C]2.2378668540538[/C][C]0.019898329611931[/C][/ROW]
[ROW][C]0.54[/C][C]2.24184388319517[/C][C]0.0195375783844372[/C][/ROW]
[ROW][C]0.55[/C][C]2.2458221751938[/C][C]0.019769431972443[/C][/ROW]
[ROW][C]0.56[/C][C]2.24991422289954[/C][C]0.0205919711043741[/C][/ROW]
[ROW][C]0.57[/C][C]2.25423182548463[/C][C]0.0219612811882573[/C][/ROW]
[ROW][C]0.58[/C][C]2.25888452376533[/C][C]0.023848219590216[/C][/ROW]
[ROW][C]0.59[/C][C]2.26397956199312[/C][C]0.0262160676151749[/C][/ROW]
[ROW][C]0.6[/C][C]2.26962319694154[/C][C]0.029057120849114[/C][/ROW]
[ROW][C]0.61[/C][C]2.27592292810254[/C][C]0.032367138503173[/C][/ROW]
[ROW][C]0.62[/C][C]2.28298998641536[/C][C]0.0361643507756228[/C][/ROW]
[ROW][C]0.63[/C][C]2.29094120908832[/C][C]0.0404757084409913[/C][/ROW]
[ROW][C]0.64[/C][C]2.29989929419467[/C][C]0.04532090104877[/C][/ROW]
[ROW][C]0.65[/C][C]2.3099904495094[/C][C]0.0507236271511777[/C][/ROW]
[ROW][C]0.66[/C][C]2.32133870922573[/C][C]0.0566370066717426[/C][/ROW]
[ROW][C]0.67[/C][C]2.33405674168896[/C][C]0.0629823582394834[/C][/ROW]
[ROW][C]0.68[/C][C]2.34823379456215[/C][C]0.0696040845407635[/C][/ROW]
[ROW][C]0.69[/C][C]2.36392241170189[/C][C]0.0762792794564034[/C][/ROW]
[ROW][C]0.7[/C][C]2.38112650282316[/C][C]0.0827256899759098[/C][/ROW]
[ROW][C]0.71[/C][C]2.39979397051105[/C][C]0.0886469869480607[/C][/ROW]
[ROW][C]0.72[/C][C]2.41981708698244[/C][C]0.0937567244844374[/C][/ROW]
[ROW][C]0.73[/C][C]2.44104290105086[/C][C]0.0978398590271651[/C][/ROW]
[ROW][C]0.74[/C][C]2.46329403838203[/C][C]0.100805859561049[/C][/ROW]
[ROW][C]0.75[/C][C]2.48639751197478[/C][C]0.102722553893184[/C][/ROW]
[ROW][C]0.76[/C][C]2.51021613036245[/C][C]0.103821622737399[/C][/ROW]
[ROW][C]0.77[/C][C]2.53467466894635[/C][C]0.104473846712374[/C][/ROW]
[ROW][C]0.78[/C][C]2.55977219994662[/C][C]0.105094950923175[/C][/ROW]
[ROW][C]0.79[/C][C]2.58557371199348[/C][C]0.106039119156249[/C][/ROW]
[ROW][C]0.8[/C][C]2.61217866115439[/C][C]0.107447226908445[/C][/ROW]
[ROW][C]0.81[/C][C]2.63967079489441[/C][C]0.109186804785583[/C][/ROW]
[ROW][C]0.82[/C][C]2.66806101426368[/C][C]0.110821378286217[/C][/ROW]
[ROW][C]0.83[/C][C]2.69724108922303[/C][C]0.111727040603389[/C][/ROW]
[ROW][C]0.84[/C][C]2.72696841881487[/C][C]0.111252556340094[/C][/ROW]
[ROW][C]0.85[/C][C]2.75689878080307[/C][C]0.108947823693475[/C][/ROW]
[ROW][C]0.86[/C][C]2.78667419558791[/C][C]0.104766431213853[/C][/ROW]
[ROW][C]0.87[/C][C]2.81605737697302[/C][C]0.0992198675668976[/C][/ROW]
[ROW][C]0.88[/C][C]2.84508551513322[/C][C]0.0934172702221363[/C][/ROW]
[ROW][C]0.89[/C][C]2.87419840217007[/C][C]0.088921065061075[/C][/ROW]
[ROW][C]0.9[/C][C]2.90428266034623[/C][C]0.0873566794683026[/C][/ROW]
[ROW][C]0.91[/C][C]2.93656685293322[/C][C]0.0897301983459265[/C][/ROW]
[ROW][C]0.92[/C][C]2.97230588617685[/C][C]0.0956558432880259[/C][/ROW]
[ROW][C]0.93[/C][C]3.01222721264461[/C][C]0.102874551243476[/C][/ROW]
[ROW][C]0.94[/C][C]3.05582290600711[/C][C]0.10729284595907[/C][/ROW]
[ROW][C]0.95[/C][C]3.10080731213363[/C][C]0.103866647077477[/C][/ROW]
[ROW][C]0.96[/C][C]3.14334343201356[/C][C]0.0889913891028022[/C][/ROW]
[ROW][C]0.97[/C][C]3.17956198968868[/C][C]0.0641676839588921[/C][/ROW]
[ROW][C]0.98[/C][C]3.2077195102866[/C][C]0.0385965856354293[/C][/ROW]
[ROW][C]0.99[/C][C]3.22824275667049[/C][C]0.0269430788668272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213741&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.78350854275970.00797638805109291
0.021.788639480057660.0075843420729528
0.031.794076453950960.00949600417893667
0.041.799616554159980.0113449850371835
0.051.80516269552240.0119498994143309
0.061.810446055760470.0115022443893622
0.071.815250884124280.0107339793706316
0.081.819566828630880.0103445541507038
0.091.823563089143940.010716978190963
0.11.827488366436130.0118946710819045
0.111.831583165934080.0137131601589618
0.121.836032361617540.015952271038881
0.131.840953397450570.0184080411005128
0.141.84640743410150.0209528824161589
0.151.852422053684750.0235602615550797
0.161.859015981769510.0263156045442303
0.171.866217517040440.029343131677809
0.181.874070940595910.0327420722959351
0.191.882629929244230.0365048776338468
0.21.891942331948790.0405148413903064
0.211.902033963412670.0445832028526669
0.221.912898704310950.0485189881798936
0.231.924498579777610.0521892153796028
0.241.93677262693650.0555432037087861
0.251.949649615846830.0586052349915365
0.261.963058566571370.0614351985404971
0.271.976932633657210.0640714604024603
0.281.991205252354890.0664825321148784
0.292.00580088277430.0685583598232596
0.32.020624877779470.0701305444277096
0.312.035557257188090.071005077043446
0.322.050453630244180.0710340858582016
0.332.065153928214830.0701490098898945
0.342.079496996432480.0683753032334504
0.352.093337319602140.0658524028713674
0.362.106559680079060.062786479422344
0.372.119088353752260.0594167147034494
0.382.130889118047630.0559763115368741
0.392.141964279354410.0526426942102497
0.42.152342554022410.0495297542954792
0.412.162066583125740.0466620633410765
0.422.171181008248620.044009911924859
0.432.179723492869430.0414958965995171
0.442.187720093346720.0390312652981708
0.452.195185262185370.0365521238867343
0.462.20212576836930.0340196288308323
0.472.208547129705450.0314481986546632
0.482.214460858035850.0288923649145095
0.492.219890914163830.0264390313395908
0.52.224878173511090.0242020374876607
0.512.229482284393540.0222978619481196
0.522.233780910216620.0208350260469394
0.532.23786685405380.019898329611931
0.542.241843883195170.0195375783844372
0.552.24582217519380.019769431972443
0.562.249914222899540.0205919711043741
0.572.254231825484630.0219612811882573
0.582.258884523765330.023848219590216
0.592.263979561993120.0262160676151749
0.62.269623196941540.029057120849114
0.612.275922928102540.032367138503173
0.622.282989986415360.0361643507756228
0.632.290941209088320.0404757084409913
0.642.299899294194670.04532090104877
0.652.30999044950940.0507236271511777
0.662.321338709225730.0566370066717426
0.672.334056741688960.0629823582394834
0.682.348233794562150.0696040845407635
0.692.363922411701890.0762792794564034
0.72.381126502823160.0827256899759098
0.712.399793970511050.0886469869480607
0.722.419817086982440.0937567244844374
0.732.441042901050860.0978398590271651
0.742.463294038382030.100805859561049
0.752.486397511974780.102722553893184
0.762.510216130362450.103821622737399
0.772.534674668946350.104473846712374
0.782.559772199946620.105094950923175
0.792.585573711993480.106039119156249
0.82.612178661154390.107447226908445
0.812.639670794894410.109186804785583
0.822.668061014263680.110821378286217
0.832.697241089223030.111727040603389
0.842.726968418814870.111252556340094
0.852.756898780803070.108947823693475
0.862.786674195587910.104766431213853
0.872.816057376973020.0992198675668976
0.882.845085515133220.0934172702221363
0.892.874198402170070.088921065061075
0.92.904282660346230.0873566794683026
0.912.936566852933220.0897301983459265
0.922.972305886176850.0956558432880259
0.933.012227212644610.102874551243476
0.943.055822906007110.10729284595907
0.953.100807312133630.103866647077477
0.963.143343432013560.0889913891028022
0.973.179561989688680.0641676839588921
0.983.20771951028660.0385965856354293
0.993.228242756670490.0269430788668272



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')