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Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 22 Jan 2016 08:24:24 +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/2016/Jan/22/t1453451070rysh5depb7v7weo.htm/, Retrieved Tue, 07 May 2024 04:56:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=290177, Retrieved Tue, 07 May 2024 04:56:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2016-01-22 08:24:24] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataseries X:
6
7
2
11
13
3
17
10
4
12
7
11
3
5
1
12
18
8
6
1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290177&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290177&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.014269411742580.0597003184919375
0.021.038041983714190.138759557533709
0.031.072914695178870.232092397103132
0.041.120014440233020.333748533158898
0.051.179933773149680.437746281352155
0.061.252722136846770.538736665306516
0.071.337926241467890.632436550212418
0.081.434668678314430.715850472363862
0.091.541751484134420.787311102865782
0.11.657771027827790.846374920807326
0.111.781231864265110.893630528404166
0.121.91064956845560.930456599134374
0.132.044635500901820.958767431030637
0.142.181959499845820.980750827415552
0.152.321589293009170.99864758114343
0.162.462707736073031.01453947078995
0.172.604710698069781.03018558445019
0.182.747189501337731.04690956626549
0.192.889902332600981.0655391298232
0.23.032739063808841.08639821970799
0.213.175683570392211.1093610216711
0.223.318777028465361.13393905149857
0.233.462084920635351.15938856394351
0.243.605669675784371.18482727021463
0.253.749570085090381.20933286633916
0.263.893787928028551.23203384045433
0.274.03828164266771.25217657464757
0.284.182966402433061.26917198209977
0.294.327719621529591.28262101983598
0.34.472390698095561.29233549488229
0.314.616813705307051.29833754545398
0.324.760821738862941.30085180171459
0.334.904261704934211.30028735255869
0.345.047008465607381.2972195348996
0.355.188977429849521.29235676829631
0.365.33013486982181.28651201853125
0.375.470505440429111.28056891100716
0.385.610176572855761.27543741097677
0.395.749299592211531.2720206991645
0.45.888087569996051.27117960693719
0.416.026810061191781.27367471728656
0.426.165784992814291.28014306254166
0.436.305368066565441.29105890036281
0.446.445940114600991.30670442579169
0.456.587892906379631.32714702259237
0.466.731613947953591.35224169031482
0.476.877470844203121.38161635689092
0.487.025795809986791.41470362923374
0.497.176870917808871.45074523184393
0.57.330914656610741.48882291434888
0.517.488070347557431.52790874978512
0.527.64839691712791.56687297403085
0.537.811862464797791.60454755770681
0.547.978340982356391.63974479593009
0.558.147612485860931.671321095273
0.568.319366712251971.6981922436292
0.578.493210415050111.71938381510384
0.588.668678172947981.73407777167689
0.598.845246508054871.74160777897258
0.69.022351003956871.74152736098149
0.619.199406024135441.7335973271539
0.629.375826563908181.71782079780119
0.639.551051727034781.69443826311602
0.649.724569301622231.66392243567093
0.659.895940915517151.62698976184267
0.6610.06482727159881.58456811811823
0.6710.23101298704211.53779393318004
0.6810.39443057321881.48798449606037
0.6910.55518307794311.43663874621253
0.710.71356485257381.385408631812
0.7110.87007978873351.33610180972972
0.7211.0254561841061.29068027638546
0.7311.18065714365181.25127139401043
0.7411.33688511337591.22014530481947
0.7511.49557880515951.19970980606818
0.7611.65840044649911.19240659837811
0.7711.82721103842231.20059271625781
0.7812.00403120279271.22630615362048
0.7912.1909853298081.27101475240881
0.812.39022718039391.33534624031447
0.8112.60384592613771.4188864179635
0.8212.83375286307181.52003329386925
0.8313.08155071288441.63591608109491
0.8413.34838946628071.76234316995802
0.8513.63481500276581.8938149391361
0.8613.94061904922862.0235441505319
0.8714.26470117618692.14362929515918
0.8814.60495521291742.24534243763644
0.8914.95819344568592.31961653158643
0.915.32012206287752.35774340776287
0.9115.68538044001582.35228518417517
0.9216.04765503745862.2981448499765
0.9316.39987601203112.19374763726921
0.9416.73450121230072.04213048517008
0.9517.04388798812951.85184857356757
0.9617.32074786221961.63735336091215
0.9717.55867185441041.4184811500769
0.9817.75270402951721.21829187023758
0.9917.89992649501461.05813137868074

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.01426941174258 & 0.0597003184919375 \tabularnewline
0.02 & 1.03804198371419 & 0.138759557533709 \tabularnewline
0.03 & 1.07291469517887 & 0.232092397103132 \tabularnewline
0.04 & 1.12001444023302 & 0.333748533158898 \tabularnewline
0.05 & 1.17993377314968 & 0.437746281352155 \tabularnewline
0.06 & 1.25272213684677 & 0.538736665306516 \tabularnewline
0.07 & 1.33792624146789 & 0.632436550212418 \tabularnewline
0.08 & 1.43466867831443 & 0.715850472363862 \tabularnewline
0.09 & 1.54175148413442 & 0.787311102865782 \tabularnewline
0.1 & 1.65777102782779 & 0.846374920807326 \tabularnewline
0.11 & 1.78123186426511 & 0.893630528404166 \tabularnewline
0.12 & 1.9106495684556 & 0.930456599134374 \tabularnewline
0.13 & 2.04463550090182 & 0.958767431030637 \tabularnewline
0.14 & 2.18195949984582 & 0.980750827415552 \tabularnewline
0.15 & 2.32158929300917 & 0.99864758114343 \tabularnewline
0.16 & 2.46270773607303 & 1.01453947078995 \tabularnewline
0.17 & 2.60471069806978 & 1.03018558445019 \tabularnewline
0.18 & 2.74718950133773 & 1.04690956626549 \tabularnewline
0.19 & 2.88990233260098 & 1.0655391298232 \tabularnewline
0.2 & 3.03273906380884 & 1.08639821970799 \tabularnewline
0.21 & 3.17568357039221 & 1.1093610216711 \tabularnewline
0.22 & 3.31877702846536 & 1.13393905149857 \tabularnewline
0.23 & 3.46208492063535 & 1.15938856394351 \tabularnewline
0.24 & 3.60566967578437 & 1.18482727021463 \tabularnewline
0.25 & 3.74957008509038 & 1.20933286633916 \tabularnewline
0.26 & 3.89378792802855 & 1.23203384045433 \tabularnewline
0.27 & 4.0382816426677 & 1.25217657464757 \tabularnewline
0.28 & 4.18296640243306 & 1.26917198209977 \tabularnewline
0.29 & 4.32771962152959 & 1.28262101983598 \tabularnewline
0.3 & 4.47239069809556 & 1.29233549488229 \tabularnewline
0.31 & 4.61681370530705 & 1.29833754545398 \tabularnewline
0.32 & 4.76082173886294 & 1.30085180171459 \tabularnewline
0.33 & 4.90426170493421 & 1.30028735255869 \tabularnewline
0.34 & 5.04700846560738 & 1.2972195348996 \tabularnewline
0.35 & 5.18897742984952 & 1.29235676829631 \tabularnewline
0.36 & 5.3301348698218 & 1.28651201853125 \tabularnewline
0.37 & 5.47050544042911 & 1.28056891100716 \tabularnewline
0.38 & 5.61017657285576 & 1.27543741097677 \tabularnewline
0.39 & 5.74929959221153 & 1.2720206991645 \tabularnewline
0.4 & 5.88808756999605 & 1.27117960693719 \tabularnewline
0.41 & 6.02681006119178 & 1.27367471728656 \tabularnewline
0.42 & 6.16578499281429 & 1.28014306254166 \tabularnewline
0.43 & 6.30536806656544 & 1.29105890036281 \tabularnewline
0.44 & 6.44594011460099 & 1.30670442579169 \tabularnewline
0.45 & 6.58789290637963 & 1.32714702259237 \tabularnewline
0.46 & 6.73161394795359 & 1.35224169031482 \tabularnewline
0.47 & 6.87747084420312 & 1.38161635689092 \tabularnewline
0.48 & 7.02579580998679 & 1.41470362923374 \tabularnewline
0.49 & 7.17687091780887 & 1.45074523184393 \tabularnewline
0.5 & 7.33091465661074 & 1.48882291434888 \tabularnewline
0.51 & 7.48807034755743 & 1.52790874978512 \tabularnewline
0.52 & 7.6483969171279 & 1.56687297403085 \tabularnewline
0.53 & 7.81186246479779 & 1.60454755770681 \tabularnewline
0.54 & 7.97834098235639 & 1.63974479593009 \tabularnewline
0.55 & 8.14761248586093 & 1.671321095273 \tabularnewline
0.56 & 8.31936671225197 & 1.6981922436292 \tabularnewline
0.57 & 8.49321041505011 & 1.71938381510384 \tabularnewline
0.58 & 8.66867817294798 & 1.73407777167689 \tabularnewline
0.59 & 8.84524650805487 & 1.74160777897258 \tabularnewline
0.6 & 9.02235100395687 & 1.74152736098149 \tabularnewline
0.61 & 9.19940602413544 & 1.7335973271539 \tabularnewline
0.62 & 9.37582656390818 & 1.71782079780119 \tabularnewline
0.63 & 9.55105172703478 & 1.69443826311602 \tabularnewline
0.64 & 9.72456930162223 & 1.66392243567093 \tabularnewline
0.65 & 9.89594091551715 & 1.62698976184267 \tabularnewline
0.66 & 10.0648272715988 & 1.58456811811823 \tabularnewline
0.67 & 10.2310129870421 & 1.53779393318004 \tabularnewline
0.68 & 10.3944305732188 & 1.48798449606037 \tabularnewline
0.69 & 10.5551830779431 & 1.43663874621253 \tabularnewline
0.7 & 10.7135648525738 & 1.385408631812 \tabularnewline
0.71 & 10.8700797887335 & 1.33610180972972 \tabularnewline
0.72 & 11.025456184106 & 1.29068027638546 \tabularnewline
0.73 & 11.1806571436518 & 1.25127139401043 \tabularnewline
0.74 & 11.3368851133759 & 1.22014530481947 \tabularnewline
0.75 & 11.4955788051595 & 1.19970980606818 \tabularnewline
0.76 & 11.6584004464991 & 1.19240659837811 \tabularnewline
0.77 & 11.8272110384223 & 1.20059271625781 \tabularnewline
0.78 & 12.0040312027927 & 1.22630615362048 \tabularnewline
0.79 & 12.190985329808 & 1.27101475240881 \tabularnewline
0.8 & 12.3902271803939 & 1.33534624031447 \tabularnewline
0.81 & 12.6038459261377 & 1.4188864179635 \tabularnewline
0.82 & 12.8337528630718 & 1.52003329386925 \tabularnewline
0.83 & 13.0815507128844 & 1.63591608109491 \tabularnewline
0.84 & 13.3483894662807 & 1.76234316995802 \tabularnewline
0.85 & 13.6348150027658 & 1.8938149391361 \tabularnewline
0.86 & 13.9406190492286 & 2.0235441505319 \tabularnewline
0.87 & 14.2647011761869 & 2.14362929515918 \tabularnewline
0.88 & 14.6049552129174 & 2.24534243763644 \tabularnewline
0.89 & 14.9581934456859 & 2.31961653158643 \tabularnewline
0.9 & 15.3201220628775 & 2.35774340776287 \tabularnewline
0.91 & 15.6853804400158 & 2.35228518417517 \tabularnewline
0.92 & 16.0476550374586 & 2.2981448499765 \tabularnewline
0.93 & 16.3998760120311 & 2.19374763726921 \tabularnewline
0.94 & 16.7345012123007 & 2.04213048517008 \tabularnewline
0.95 & 17.0438879881295 & 1.85184857356757 \tabularnewline
0.96 & 17.3207478622196 & 1.63735336091215 \tabularnewline
0.97 & 17.5586718544104 & 1.4184811500769 \tabularnewline
0.98 & 17.7527040295172 & 1.21829187023758 \tabularnewline
0.99 & 17.8999264950146 & 1.05813137868074 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290177&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]1.01426941174258[/C][C]0.0597003184919375[/C][/ROW]
[ROW][C]0.02[/C][C]1.03804198371419[/C][C]0.138759557533709[/C][/ROW]
[ROW][C]0.03[/C][C]1.07291469517887[/C][C]0.232092397103132[/C][/ROW]
[ROW][C]0.04[/C][C]1.12001444023302[/C][C]0.333748533158898[/C][/ROW]
[ROW][C]0.05[/C][C]1.17993377314968[/C][C]0.437746281352155[/C][/ROW]
[ROW][C]0.06[/C][C]1.25272213684677[/C][C]0.538736665306516[/C][/ROW]
[ROW][C]0.07[/C][C]1.33792624146789[/C][C]0.632436550212418[/C][/ROW]
[ROW][C]0.08[/C][C]1.43466867831443[/C][C]0.715850472363862[/C][/ROW]
[ROW][C]0.09[/C][C]1.54175148413442[/C][C]0.787311102865782[/C][/ROW]
[ROW][C]0.1[/C][C]1.65777102782779[/C][C]0.846374920807326[/C][/ROW]
[ROW][C]0.11[/C][C]1.78123186426511[/C][C]0.893630528404166[/C][/ROW]
[ROW][C]0.12[/C][C]1.9106495684556[/C][C]0.930456599134374[/C][/ROW]
[ROW][C]0.13[/C][C]2.04463550090182[/C][C]0.958767431030637[/C][/ROW]
[ROW][C]0.14[/C][C]2.18195949984582[/C][C]0.980750827415552[/C][/ROW]
[ROW][C]0.15[/C][C]2.32158929300917[/C][C]0.99864758114343[/C][/ROW]
[ROW][C]0.16[/C][C]2.46270773607303[/C][C]1.01453947078995[/C][/ROW]
[ROW][C]0.17[/C][C]2.60471069806978[/C][C]1.03018558445019[/C][/ROW]
[ROW][C]0.18[/C][C]2.74718950133773[/C][C]1.04690956626549[/C][/ROW]
[ROW][C]0.19[/C][C]2.88990233260098[/C][C]1.0655391298232[/C][/ROW]
[ROW][C]0.2[/C][C]3.03273906380884[/C][C]1.08639821970799[/C][/ROW]
[ROW][C]0.21[/C][C]3.17568357039221[/C][C]1.1093610216711[/C][/ROW]
[ROW][C]0.22[/C][C]3.31877702846536[/C][C]1.13393905149857[/C][/ROW]
[ROW][C]0.23[/C][C]3.46208492063535[/C][C]1.15938856394351[/C][/ROW]
[ROW][C]0.24[/C][C]3.60566967578437[/C][C]1.18482727021463[/C][/ROW]
[ROW][C]0.25[/C][C]3.74957008509038[/C][C]1.20933286633916[/C][/ROW]
[ROW][C]0.26[/C][C]3.89378792802855[/C][C]1.23203384045433[/C][/ROW]
[ROW][C]0.27[/C][C]4.0382816426677[/C][C]1.25217657464757[/C][/ROW]
[ROW][C]0.28[/C][C]4.18296640243306[/C][C]1.26917198209977[/C][/ROW]
[ROW][C]0.29[/C][C]4.32771962152959[/C][C]1.28262101983598[/C][/ROW]
[ROW][C]0.3[/C][C]4.47239069809556[/C][C]1.29233549488229[/C][/ROW]
[ROW][C]0.31[/C][C]4.61681370530705[/C][C]1.29833754545398[/C][/ROW]
[ROW][C]0.32[/C][C]4.76082173886294[/C][C]1.30085180171459[/C][/ROW]
[ROW][C]0.33[/C][C]4.90426170493421[/C][C]1.30028735255869[/C][/ROW]
[ROW][C]0.34[/C][C]5.04700846560738[/C][C]1.2972195348996[/C][/ROW]
[ROW][C]0.35[/C][C]5.18897742984952[/C][C]1.29235676829631[/C][/ROW]
[ROW][C]0.36[/C][C]5.3301348698218[/C][C]1.28651201853125[/C][/ROW]
[ROW][C]0.37[/C][C]5.47050544042911[/C][C]1.28056891100716[/C][/ROW]
[ROW][C]0.38[/C][C]5.61017657285576[/C][C]1.27543741097677[/C][/ROW]
[ROW][C]0.39[/C][C]5.74929959221153[/C][C]1.2720206991645[/C][/ROW]
[ROW][C]0.4[/C][C]5.88808756999605[/C][C]1.27117960693719[/C][/ROW]
[ROW][C]0.41[/C][C]6.02681006119178[/C][C]1.27367471728656[/C][/ROW]
[ROW][C]0.42[/C][C]6.16578499281429[/C][C]1.28014306254166[/C][/ROW]
[ROW][C]0.43[/C][C]6.30536806656544[/C][C]1.29105890036281[/C][/ROW]
[ROW][C]0.44[/C][C]6.44594011460099[/C][C]1.30670442579169[/C][/ROW]
[ROW][C]0.45[/C][C]6.58789290637963[/C][C]1.32714702259237[/C][/ROW]
[ROW][C]0.46[/C][C]6.73161394795359[/C][C]1.35224169031482[/C][/ROW]
[ROW][C]0.47[/C][C]6.87747084420312[/C][C]1.38161635689092[/C][/ROW]
[ROW][C]0.48[/C][C]7.02579580998679[/C][C]1.41470362923374[/C][/ROW]
[ROW][C]0.49[/C][C]7.17687091780887[/C][C]1.45074523184393[/C][/ROW]
[ROW][C]0.5[/C][C]7.33091465661074[/C][C]1.48882291434888[/C][/ROW]
[ROW][C]0.51[/C][C]7.48807034755743[/C][C]1.52790874978512[/C][/ROW]
[ROW][C]0.52[/C][C]7.6483969171279[/C][C]1.56687297403085[/C][/ROW]
[ROW][C]0.53[/C][C]7.81186246479779[/C][C]1.60454755770681[/C][/ROW]
[ROW][C]0.54[/C][C]7.97834098235639[/C][C]1.63974479593009[/C][/ROW]
[ROW][C]0.55[/C][C]8.14761248586093[/C][C]1.671321095273[/C][/ROW]
[ROW][C]0.56[/C][C]8.31936671225197[/C][C]1.6981922436292[/C][/ROW]
[ROW][C]0.57[/C][C]8.49321041505011[/C][C]1.71938381510384[/C][/ROW]
[ROW][C]0.58[/C][C]8.66867817294798[/C][C]1.73407777167689[/C][/ROW]
[ROW][C]0.59[/C][C]8.84524650805487[/C][C]1.74160777897258[/C][/ROW]
[ROW][C]0.6[/C][C]9.02235100395687[/C][C]1.74152736098149[/C][/ROW]
[ROW][C]0.61[/C][C]9.19940602413544[/C][C]1.7335973271539[/C][/ROW]
[ROW][C]0.62[/C][C]9.37582656390818[/C][C]1.71782079780119[/C][/ROW]
[ROW][C]0.63[/C][C]9.55105172703478[/C][C]1.69443826311602[/C][/ROW]
[ROW][C]0.64[/C][C]9.72456930162223[/C][C]1.66392243567093[/C][/ROW]
[ROW][C]0.65[/C][C]9.89594091551715[/C][C]1.62698976184267[/C][/ROW]
[ROW][C]0.66[/C][C]10.0648272715988[/C][C]1.58456811811823[/C][/ROW]
[ROW][C]0.67[/C][C]10.2310129870421[/C][C]1.53779393318004[/C][/ROW]
[ROW][C]0.68[/C][C]10.3944305732188[/C][C]1.48798449606037[/C][/ROW]
[ROW][C]0.69[/C][C]10.5551830779431[/C][C]1.43663874621253[/C][/ROW]
[ROW][C]0.7[/C][C]10.7135648525738[/C][C]1.385408631812[/C][/ROW]
[ROW][C]0.71[/C][C]10.8700797887335[/C][C]1.33610180972972[/C][/ROW]
[ROW][C]0.72[/C][C]11.025456184106[/C][C]1.29068027638546[/C][/ROW]
[ROW][C]0.73[/C][C]11.1806571436518[/C][C]1.25127139401043[/C][/ROW]
[ROW][C]0.74[/C][C]11.3368851133759[/C][C]1.22014530481947[/C][/ROW]
[ROW][C]0.75[/C][C]11.4955788051595[/C][C]1.19970980606818[/C][/ROW]
[ROW][C]0.76[/C][C]11.6584004464991[/C][C]1.19240659837811[/C][/ROW]
[ROW][C]0.77[/C][C]11.8272110384223[/C][C]1.20059271625781[/C][/ROW]
[ROW][C]0.78[/C][C]12.0040312027927[/C][C]1.22630615362048[/C][/ROW]
[ROW][C]0.79[/C][C]12.190985329808[/C][C]1.27101475240881[/C][/ROW]
[ROW][C]0.8[/C][C]12.3902271803939[/C][C]1.33534624031447[/C][/ROW]
[ROW][C]0.81[/C][C]12.6038459261377[/C][C]1.4188864179635[/C][/ROW]
[ROW][C]0.82[/C][C]12.8337528630718[/C][C]1.52003329386925[/C][/ROW]
[ROW][C]0.83[/C][C]13.0815507128844[/C][C]1.63591608109491[/C][/ROW]
[ROW][C]0.84[/C][C]13.3483894662807[/C][C]1.76234316995802[/C][/ROW]
[ROW][C]0.85[/C][C]13.6348150027658[/C][C]1.8938149391361[/C][/ROW]
[ROW][C]0.86[/C][C]13.9406190492286[/C][C]2.0235441505319[/C][/ROW]
[ROW][C]0.87[/C][C]14.2647011761869[/C][C]2.14362929515918[/C][/ROW]
[ROW][C]0.88[/C][C]14.6049552129174[/C][C]2.24534243763644[/C][/ROW]
[ROW][C]0.89[/C][C]14.9581934456859[/C][C]2.31961653158643[/C][/ROW]
[ROW][C]0.9[/C][C]15.3201220628775[/C][C]2.35774340776287[/C][/ROW]
[ROW][C]0.91[/C][C]15.6853804400158[/C][C]2.35228518417517[/C][/ROW]
[ROW][C]0.92[/C][C]16.0476550374586[/C][C]2.2981448499765[/C][/ROW]
[ROW][C]0.93[/C][C]16.3998760120311[/C][C]2.19374763726921[/C][/ROW]
[ROW][C]0.94[/C][C]16.7345012123007[/C][C]2.04213048517008[/C][/ROW]
[ROW][C]0.95[/C][C]17.0438879881295[/C][C]1.85184857356757[/C][/ROW]
[ROW][C]0.96[/C][C]17.3207478622196[/C][C]1.63735336091215[/C][/ROW]
[ROW][C]0.97[/C][C]17.5586718544104[/C][C]1.4184811500769[/C][/ROW]
[ROW][C]0.98[/C][C]17.7527040295172[/C][C]1.21829187023758[/C][/ROW]
[ROW][C]0.99[/C][C]17.8999264950146[/C][C]1.05813137868074[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290177&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
0.011.014269411742580.0597003184919375
0.021.038041983714190.138759557533709
0.031.072914695178870.232092397103132
0.041.120014440233020.333748533158898
0.051.179933773149680.437746281352155
0.061.252722136846770.538736665306516
0.071.337926241467890.632436550212418
0.081.434668678314430.715850472363862
0.091.541751484134420.787311102865782
0.11.657771027827790.846374920807326
0.111.781231864265110.893630528404166
0.121.91064956845560.930456599134374
0.132.044635500901820.958767431030637
0.142.181959499845820.980750827415552
0.152.321589293009170.99864758114343
0.162.462707736073031.01453947078995
0.172.604710698069781.03018558445019
0.182.747189501337731.04690956626549
0.192.889902332600981.0655391298232
0.23.032739063808841.08639821970799
0.213.175683570392211.1093610216711
0.223.318777028465361.13393905149857
0.233.462084920635351.15938856394351
0.243.605669675784371.18482727021463
0.253.749570085090381.20933286633916
0.263.893787928028551.23203384045433
0.274.03828164266771.25217657464757
0.284.182966402433061.26917198209977
0.294.327719621529591.28262101983598
0.34.472390698095561.29233549488229
0.314.616813705307051.29833754545398
0.324.760821738862941.30085180171459
0.334.904261704934211.30028735255869
0.345.047008465607381.2972195348996
0.355.188977429849521.29235676829631
0.365.33013486982181.28651201853125
0.375.470505440429111.28056891100716
0.385.610176572855761.27543741097677
0.395.749299592211531.2720206991645
0.45.888087569996051.27117960693719
0.416.026810061191781.27367471728656
0.426.165784992814291.28014306254166
0.436.305368066565441.29105890036281
0.446.445940114600991.30670442579169
0.456.587892906379631.32714702259237
0.466.731613947953591.35224169031482
0.476.877470844203121.38161635689092
0.487.025795809986791.41470362923374
0.497.176870917808871.45074523184393
0.57.330914656610741.48882291434888
0.517.488070347557431.52790874978512
0.527.64839691712791.56687297403085
0.537.811862464797791.60454755770681
0.547.978340982356391.63974479593009
0.558.147612485860931.671321095273
0.568.319366712251971.6981922436292
0.578.493210415050111.71938381510384
0.588.668678172947981.73407777167689
0.598.845246508054871.74160777897258
0.69.022351003956871.74152736098149
0.619.199406024135441.7335973271539
0.629.375826563908181.71782079780119
0.639.551051727034781.69443826311602
0.649.724569301622231.66392243567093
0.659.895940915517151.62698976184267
0.6610.06482727159881.58456811811823
0.6710.23101298704211.53779393318004
0.6810.39443057321881.48798449606037
0.6910.55518307794311.43663874621253
0.710.71356485257381.385408631812
0.7110.87007978873351.33610180972972
0.7211.0254561841061.29068027638546
0.7311.18065714365181.25127139401043
0.7411.33688511337591.22014530481947
0.7511.49557880515951.19970980606818
0.7611.65840044649911.19240659837811
0.7711.82721103842231.20059271625781
0.7812.00403120279271.22630615362048
0.7912.1909853298081.27101475240881
0.812.39022718039391.33534624031447
0.8112.60384592613771.4188864179635
0.8212.83375286307181.52003329386925
0.8313.08155071288441.63591608109491
0.8413.34838946628071.76234316995802
0.8513.63481500276581.8938149391361
0.8613.94061904922862.0235441505319
0.8714.26470117618692.14362929515918
0.8814.60495521291742.24534243763644
0.8914.95819344568592.31961653158643
0.915.32012206287752.35774340776287
0.9115.68538044001582.35228518417517
0.9216.04765503745862.2981448499765
0.9316.39987601203112.19374763726921
0.9416.73450121230072.04213048517008
0.9517.04388798812951.85184857356757
0.9617.32074786221961.63735336091215
0.9717.55867185441041.4184811500769
0.9817.75270402951721.21829187023758
0.9917.89992649501461.05813137868074



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')