Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 15 Jan 2013 15:13:17 -0500
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/Jan/15/t1358280813zk9xwexggjwqr9m.htm/, Retrieved Sat, 27 Apr 2024 23:05:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205539, Retrieved Sat, 27 Apr 2024 23:05:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean versus Median] [] [2012-10-22 19:08:21] [018035fb0d4285098cb1e31787361d70]
- RMP     [Harrell-Davis Quantiles] [] [2013-01-15 20:13:17] [a14baeeafb42bd31c8e1f231a0a4996d] [Current]
Feedback Forum

Post a new message
Dataseries X:
6.11
6.13
6.15
6.15
6.16
6.18
6.21
6.22
6.23
6.26
6.28
6.28
6.29
6.32
6.36
6.37
6.38
6.38
6.4
6.41
6.42
6.43
6.44
6.47
6.47
6.48
6.51
6.54
6.56
6.57
6.6
6.62
6.65
6.71
6.76
6.78
6.8
6.83
6.86
6.86
6.87
6.88
6.9
6.92
6.93
6.94
6.96
6.98
6.99
7.01
7.06
7.07
7.08
7.08
7.1
7.11
7.22
7.24
7.25
7.26
7.27
7.3
7.32
7.34
7.35
7.36
7.39
7.41
7.43
7.46
7.47
7.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205539&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205539&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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.116720511665570.0188449315317985
0.026.126920334178410.0179384033099101
0.036.137593476824980.0177209236245496
0.046.147645495169890.0192550723675043
0.056.157371566168110.0228808978265555
0.066.167402920258440.0275904400492641
0.076.178135176420910.0321552996621884
0.086.189619881398510.0358721484887981
0.096.201679838881880.0385928517792854
0.16.214066789046960.0405300955260642
0.116.226572021265170.042012216037482
0.126.239070367663040.0433394022487812
0.136.251514811652060.0446838046543864
0.146.263907553232130.0460983792871829
0.156.276267068522680.047548758876593
0.166.288601545181530.0489114470630056
0.176.30089279009310.0500058815949722
0.186.313091572326670.0506623811321396
0.196.325123590372280.0507614735154378
0.26.336903574334370.0502943909142876
0.216.34835346695740.0493698182111437
0.226.359419883143410.0481655749827069
0.236.370086641078440.0469534872520047
0.246.380379938817920.0459578686634993
0.256.390366010931550.045397074154819
0.266.400143008611640.0454124217377576
0.276.409829853430320.0460625112300387
0.286.419554821505720.0473557160756727
0.296.429445895315720.049260266520597
0.36.43962390781560.0517265020391491
0.316.450198580734280.054675663032681
0.326.461266940298340.0580689985046728
0.336.472913313279620.0618463676732474
0.346.48521007889210.0659561973664251
0.356.498218456223030.0703421702896947
0.366.51198875026050.0749625297425632
0.376.52655962723370.0797672746667504
0.386.541956156261010.0846857830571739
0.396.558186572104220.0896209828719296
0.46.575237999397610.0944491530945843
0.416.593071707993550.0990103346509997
0.426.611618774892060.103117154871586
0.436.630777218977540.106552221230374
0.446.650411666720820.10912634900903
0.456.67035635758150.110648027373857
0.466.690421827132490.110990950538314
0.476.710404997688490.110100914498063
0.486.730101787937580.108001234699683
0.496.74932086173750.104792870723456
0.56.767896881333770.100672599702884
0.516.785701665653320.0958834487386701
0.526.802651966823770.0907032684567563
0.536.818713094382970.0854224269876397
0.546.833898224979360.0803402926058271
0.556.848263814216550.0756818020549724
0.566.861901973641130.0716381275320344
0.576.874930926389940.0683337520681917
0.586.887484696633240.0658266769109666
0.596.899703056368710.0641216566329678
0.66.911722519887590.0631561812152901
0.616.923668926688710.0628472715114881
0.626.935651959835450.0630675745888706
0.636.947761841883470.0636848194458968
0.646.960068412652370.0645738886496828
0.656.97262274701170.0656162765210669
0.666.985461312586180.0667161783445617
0.676.998612310361580.0678278646574791
0.687.012103272556780.0689516541518397
0.697.025968317282370.0701364694149393
0.77.040252910667510.0714896658202983
0.717.055013874260190.0731070303733308
0.727.070312976965990.0750455255072485
0.737.086203868940890.0772721921078315
0.747.10271415041640.0796385661537888
0.757.119826482884790.0818409186185147
0.767.137464071536160.0835250261450281
0.777.155485827201710.0842813053368653
0.787.173694666177320.0838308588732003
0.797.191858988030080.0820301739201568
0.87.209743365830240.0789382971782309
0.817.227141341466820.074817178663998
0.827.24390231273530.0700567507564322
0.837.259946459905310.0650892752425655
0.847.275265914196750.0602922933540261
0.857.289915179710740.0559090445950302
0.867.303996947575920.0520604333672255
0.877.317649264939970.048783921960556
0.887.331036564307950.0460854405354447
0.897.344342243047630.0439937780038234
0.97.357757169788010.0425010494218331

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.11672051166557 & 0.0188449315317985 \tabularnewline
0.02 & 6.12692033417841 & 0.0179384033099101 \tabularnewline
0.03 & 6.13759347682498 & 0.0177209236245496 \tabularnewline
0.04 & 6.14764549516989 & 0.0192550723675043 \tabularnewline
0.05 & 6.15737156616811 & 0.0228808978265555 \tabularnewline
0.06 & 6.16740292025844 & 0.0275904400492641 \tabularnewline
0.07 & 6.17813517642091 & 0.0321552996621884 \tabularnewline
0.08 & 6.18961988139851 & 0.0358721484887981 \tabularnewline
0.09 & 6.20167983888188 & 0.0385928517792854 \tabularnewline
0.1 & 6.21406678904696 & 0.0405300955260642 \tabularnewline
0.11 & 6.22657202126517 & 0.042012216037482 \tabularnewline
0.12 & 6.23907036766304 & 0.0433394022487812 \tabularnewline
0.13 & 6.25151481165206 & 0.0446838046543864 \tabularnewline
0.14 & 6.26390755323213 & 0.0460983792871829 \tabularnewline
0.15 & 6.27626706852268 & 0.047548758876593 \tabularnewline
0.16 & 6.28860154518153 & 0.0489114470630056 \tabularnewline
0.17 & 6.3008927900931 & 0.0500058815949722 \tabularnewline
0.18 & 6.31309157232667 & 0.0506623811321396 \tabularnewline
0.19 & 6.32512359037228 & 0.0507614735154378 \tabularnewline
0.2 & 6.33690357433437 & 0.0502943909142876 \tabularnewline
0.21 & 6.3483534669574 & 0.0493698182111437 \tabularnewline
0.22 & 6.35941988314341 & 0.0481655749827069 \tabularnewline
0.23 & 6.37008664107844 & 0.0469534872520047 \tabularnewline
0.24 & 6.38037993881792 & 0.0459578686634993 \tabularnewline
0.25 & 6.39036601093155 & 0.045397074154819 \tabularnewline
0.26 & 6.40014300861164 & 0.0454124217377576 \tabularnewline
0.27 & 6.40982985343032 & 0.0460625112300387 \tabularnewline
0.28 & 6.41955482150572 & 0.0473557160756727 \tabularnewline
0.29 & 6.42944589531572 & 0.049260266520597 \tabularnewline
0.3 & 6.4396239078156 & 0.0517265020391491 \tabularnewline
0.31 & 6.45019858073428 & 0.054675663032681 \tabularnewline
0.32 & 6.46126694029834 & 0.0580689985046728 \tabularnewline
0.33 & 6.47291331327962 & 0.0618463676732474 \tabularnewline
0.34 & 6.4852100788921 & 0.0659561973664251 \tabularnewline
0.35 & 6.49821845622303 & 0.0703421702896947 \tabularnewline
0.36 & 6.5119887502605 & 0.0749625297425632 \tabularnewline
0.37 & 6.5265596272337 & 0.0797672746667504 \tabularnewline
0.38 & 6.54195615626101 & 0.0846857830571739 \tabularnewline
0.39 & 6.55818657210422 & 0.0896209828719296 \tabularnewline
0.4 & 6.57523799939761 & 0.0944491530945843 \tabularnewline
0.41 & 6.59307170799355 & 0.0990103346509997 \tabularnewline
0.42 & 6.61161877489206 & 0.103117154871586 \tabularnewline
0.43 & 6.63077721897754 & 0.106552221230374 \tabularnewline
0.44 & 6.65041166672082 & 0.10912634900903 \tabularnewline
0.45 & 6.6703563575815 & 0.110648027373857 \tabularnewline
0.46 & 6.69042182713249 & 0.110990950538314 \tabularnewline
0.47 & 6.71040499768849 & 0.110100914498063 \tabularnewline
0.48 & 6.73010178793758 & 0.108001234699683 \tabularnewline
0.49 & 6.7493208617375 & 0.104792870723456 \tabularnewline
0.5 & 6.76789688133377 & 0.100672599702884 \tabularnewline
0.51 & 6.78570166565332 & 0.0958834487386701 \tabularnewline
0.52 & 6.80265196682377 & 0.0907032684567563 \tabularnewline
0.53 & 6.81871309438297 & 0.0854224269876397 \tabularnewline
0.54 & 6.83389822497936 & 0.0803402926058271 \tabularnewline
0.55 & 6.84826381421655 & 0.0756818020549724 \tabularnewline
0.56 & 6.86190197364113 & 0.0716381275320344 \tabularnewline
0.57 & 6.87493092638994 & 0.0683337520681917 \tabularnewline
0.58 & 6.88748469663324 & 0.0658266769109666 \tabularnewline
0.59 & 6.89970305636871 & 0.0641216566329678 \tabularnewline
0.6 & 6.91172251988759 & 0.0631561812152901 \tabularnewline
0.61 & 6.92366892668871 & 0.0628472715114881 \tabularnewline
0.62 & 6.93565195983545 & 0.0630675745888706 \tabularnewline
0.63 & 6.94776184188347 & 0.0636848194458968 \tabularnewline
0.64 & 6.96006841265237 & 0.0645738886496828 \tabularnewline
0.65 & 6.9726227470117 & 0.0656162765210669 \tabularnewline
0.66 & 6.98546131258618 & 0.0667161783445617 \tabularnewline
0.67 & 6.99861231036158 & 0.0678278646574791 \tabularnewline
0.68 & 7.01210327255678 & 0.0689516541518397 \tabularnewline
0.69 & 7.02596831728237 & 0.0701364694149393 \tabularnewline
0.7 & 7.04025291066751 & 0.0714896658202983 \tabularnewline
0.71 & 7.05501387426019 & 0.0731070303733308 \tabularnewline
0.72 & 7.07031297696599 & 0.0750455255072485 \tabularnewline
0.73 & 7.08620386894089 & 0.0772721921078315 \tabularnewline
0.74 & 7.1027141504164 & 0.0796385661537888 \tabularnewline
0.75 & 7.11982648288479 & 0.0818409186185147 \tabularnewline
0.76 & 7.13746407153616 & 0.0835250261450281 \tabularnewline
0.77 & 7.15548582720171 & 0.0842813053368653 \tabularnewline
0.78 & 7.17369466617732 & 0.0838308588732003 \tabularnewline
0.79 & 7.19185898803008 & 0.0820301739201568 \tabularnewline
0.8 & 7.20974336583024 & 0.0789382971782309 \tabularnewline
0.81 & 7.22714134146682 & 0.074817178663998 \tabularnewline
0.82 & 7.2439023127353 & 0.0700567507564322 \tabularnewline
0.83 & 7.25994645990531 & 0.0650892752425655 \tabularnewline
0.84 & 7.27526591419675 & 0.0602922933540261 \tabularnewline
0.85 & 7.28991517971074 & 0.0559090445950302 \tabularnewline
0.86 & 7.30399694757592 & 0.0520604333672255 \tabularnewline
0.87 & 7.31764926493997 & 0.048783921960556 \tabularnewline
0.88 & 7.33103656430795 & 0.0460854405354447 \tabularnewline
0.89 & 7.34434224304763 & 0.0439937780038234 \tabularnewline
0.9 & 7.35775716978801 & 0.0425010494218331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205539&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]6.11672051166557[/C][C]0.0188449315317985[/C][/ROW]
[ROW][C]0.02[/C][C]6.12692033417841[/C][C]0.0179384033099101[/C][/ROW]
[ROW][C]0.03[/C][C]6.13759347682498[/C][C]0.0177209236245496[/C][/ROW]
[ROW][C]0.04[/C][C]6.14764549516989[/C][C]0.0192550723675043[/C][/ROW]
[ROW][C]0.05[/C][C]6.15737156616811[/C][C]0.0228808978265555[/C][/ROW]
[ROW][C]0.06[/C][C]6.16740292025844[/C][C]0.0275904400492641[/C][/ROW]
[ROW][C]0.07[/C][C]6.17813517642091[/C][C]0.0321552996621884[/C][/ROW]
[ROW][C]0.08[/C][C]6.18961988139851[/C][C]0.0358721484887981[/C][/ROW]
[ROW][C]0.09[/C][C]6.20167983888188[/C][C]0.0385928517792854[/C][/ROW]
[ROW][C]0.1[/C][C]6.21406678904696[/C][C]0.0405300955260642[/C][/ROW]
[ROW][C]0.11[/C][C]6.22657202126517[/C][C]0.042012216037482[/C][/ROW]
[ROW][C]0.12[/C][C]6.23907036766304[/C][C]0.0433394022487812[/C][/ROW]
[ROW][C]0.13[/C][C]6.25151481165206[/C][C]0.0446838046543864[/C][/ROW]
[ROW][C]0.14[/C][C]6.26390755323213[/C][C]0.0460983792871829[/C][/ROW]
[ROW][C]0.15[/C][C]6.27626706852268[/C][C]0.047548758876593[/C][/ROW]
[ROW][C]0.16[/C][C]6.28860154518153[/C][C]0.0489114470630056[/C][/ROW]
[ROW][C]0.17[/C][C]6.3008927900931[/C][C]0.0500058815949722[/C][/ROW]
[ROW][C]0.18[/C][C]6.31309157232667[/C][C]0.0506623811321396[/C][/ROW]
[ROW][C]0.19[/C][C]6.32512359037228[/C][C]0.0507614735154378[/C][/ROW]
[ROW][C]0.2[/C][C]6.33690357433437[/C][C]0.0502943909142876[/C][/ROW]
[ROW][C]0.21[/C][C]6.3483534669574[/C][C]0.0493698182111437[/C][/ROW]
[ROW][C]0.22[/C][C]6.35941988314341[/C][C]0.0481655749827069[/C][/ROW]
[ROW][C]0.23[/C][C]6.37008664107844[/C][C]0.0469534872520047[/C][/ROW]
[ROW][C]0.24[/C][C]6.38037993881792[/C][C]0.0459578686634993[/C][/ROW]
[ROW][C]0.25[/C][C]6.39036601093155[/C][C]0.045397074154819[/C][/ROW]
[ROW][C]0.26[/C][C]6.40014300861164[/C][C]0.0454124217377576[/C][/ROW]
[ROW][C]0.27[/C][C]6.40982985343032[/C][C]0.0460625112300387[/C][/ROW]
[ROW][C]0.28[/C][C]6.41955482150572[/C][C]0.0473557160756727[/C][/ROW]
[ROW][C]0.29[/C][C]6.42944589531572[/C][C]0.049260266520597[/C][/ROW]
[ROW][C]0.3[/C][C]6.4396239078156[/C][C]0.0517265020391491[/C][/ROW]
[ROW][C]0.31[/C][C]6.45019858073428[/C][C]0.054675663032681[/C][/ROW]
[ROW][C]0.32[/C][C]6.46126694029834[/C][C]0.0580689985046728[/C][/ROW]
[ROW][C]0.33[/C][C]6.47291331327962[/C][C]0.0618463676732474[/C][/ROW]
[ROW][C]0.34[/C][C]6.4852100788921[/C][C]0.0659561973664251[/C][/ROW]
[ROW][C]0.35[/C][C]6.49821845622303[/C][C]0.0703421702896947[/C][/ROW]
[ROW][C]0.36[/C][C]6.5119887502605[/C][C]0.0749625297425632[/C][/ROW]
[ROW][C]0.37[/C][C]6.5265596272337[/C][C]0.0797672746667504[/C][/ROW]
[ROW][C]0.38[/C][C]6.54195615626101[/C][C]0.0846857830571739[/C][/ROW]
[ROW][C]0.39[/C][C]6.55818657210422[/C][C]0.0896209828719296[/C][/ROW]
[ROW][C]0.4[/C][C]6.57523799939761[/C][C]0.0944491530945843[/C][/ROW]
[ROW][C]0.41[/C][C]6.59307170799355[/C][C]0.0990103346509997[/C][/ROW]
[ROW][C]0.42[/C][C]6.61161877489206[/C][C]0.103117154871586[/C][/ROW]
[ROW][C]0.43[/C][C]6.63077721897754[/C][C]0.106552221230374[/C][/ROW]
[ROW][C]0.44[/C][C]6.65041166672082[/C][C]0.10912634900903[/C][/ROW]
[ROW][C]0.45[/C][C]6.6703563575815[/C][C]0.110648027373857[/C][/ROW]
[ROW][C]0.46[/C][C]6.69042182713249[/C][C]0.110990950538314[/C][/ROW]
[ROW][C]0.47[/C][C]6.71040499768849[/C][C]0.110100914498063[/C][/ROW]
[ROW][C]0.48[/C][C]6.73010178793758[/C][C]0.108001234699683[/C][/ROW]
[ROW][C]0.49[/C][C]6.7493208617375[/C][C]0.104792870723456[/C][/ROW]
[ROW][C]0.5[/C][C]6.76789688133377[/C][C]0.100672599702884[/C][/ROW]
[ROW][C]0.51[/C][C]6.78570166565332[/C][C]0.0958834487386701[/C][/ROW]
[ROW][C]0.52[/C][C]6.80265196682377[/C][C]0.0907032684567563[/C][/ROW]
[ROW][C]0.53[/C][C]6.81871309438297[/C][C]0.0854224269876397[/C][/ROW]
[ROW][C]0.54[/C][C]6.83389822497936[/C][C]0.0803402926058271[/C][/ROW]
[ROW][C]0.55[/C][C]6.84826381421655[/C][C]0.0756818020549724[/C][/ROW]
[ROW][C]0.56[/C][C]6.86190197364113[/C][C]0.0716381275320344[/C][/ROW]
[ROW][C]0.57[/C][C]6.87493092638994[/C][C]0.0683337520681917[/C][/ROW]
[ROW][C]0.58[/C][C]6.88748469663324[/C][C]0.0658266769109666[/C][/ROW]
[ROW][C]0.59[/C][C]6.89970305636871[/C][C]0.0641216566329678[/C][/ROW]
[ROW][C]0.6[/C][C]6.91172251988759[/C][C]0.0631561812152901[/C][/ROW]
[ROW][C]0.61[/C][C]6.92366892668871[/C][C]0.0628472715114881[/C][/ROW]
[ROW][C]0.62[/C][C]6.93565195983545[/C][C]0.0630675745888706[/C][/ROW]
[ROW][C]0.63[/C][C]6.94776184188347[/C][C]0.0636848194458968[/C][/ROW]
[ROW][C]0.64[/C][C]6.96006841265237[/C][C]0.0645738886496828[/C][/ROW]
[ROW][C]0.65[/C][C]6.9726227470117[/C][C]0.0656162765210669[/C][/ROW]
[ROW][C]0.66[/C][C]6.98546131258618[/C][C]0.0667161783445617[/C][/ROW]
[ROW][C]0.67[/C][C]6.99861231036158[/C][C]0.0678278646574791[/C][/ROW]
[ROW][C]0.68[/C][C]7.01210327255678[/C][C]0.0689516541518397[/C][/ROW]
[ROW][C]0.69[/C][C]7.02596831728237[/C][C]0.0701364694149393[/C][/ROW]
[ROW][C]0.7[/C][C]7.04025291066751[/C][C]0.0714896658202983[/C][/ROW]
[ROW][C]0.71[/C][C]7.05501387426019[/C][C]0.0731070303733308[/C][/ROW]
[ROW][C]0.72[/C][C]7.07031297696599[/C][C]0.0750455255072485[/C][/ROW]
[ROW][C]0.73[/C][C]7.08620386894089[/C][C]0.0772721921078315[/C][/ROW]
[ROW][C]0.74[/C][C]7.1027141504164[/C][C]0.0796385661537888[/C][/ROW]
[ROW][C]0.75[/C][C]7.11982648288479[/C][C]0.0818409186185147[/C][/ROW]
[ROW][C]0.76[/C][C]7.13746407153616[/C][C]0.0835250261450281[/C][/ROW]
[ROW][C]0.77[/C][C]7.15548582720171[/C][C]0.0842813053368653[/C][/ROW]
[ROW][C]0.78[/C][C]7.17369466617732[/C][C]0.0838308588732003[/C][/ROW]
[ROW][C]0.79[/C][C]7.19185898803008[/C][C]0.0820301739201568[/C][/ROW]
[ROW][C]0.8[/C][C]7.20974336583024[/C][C]0.0789382971782309[/C][/ROW]
[ROW][C]0.81[/C][C]7.22714134146682[/C][C]0.074817178663998[/C][/ROW]
[ROW][C]0.82[/C][C]7.2439023127353[/C][C]0.0700567507564322[/C][/ROW]
[ROW][C]0.83[/C][C]7.25994645990531[/C][C]0.0650892752425655[/C][/ROW]
[ROW][C]0.84[/C][C]7.27526591419675[/C][C]0.0602922933540261[/C][/ROW]
[ROW][C]0.85[/C][C]7.28991517971074[/C][C]0.0559090445950302[/C][/ROW]
[ROW][C]0.86[/C][C]7.30399694757592[/C][C]0.0520604333672255[/C][/ROW]
[ROW][C]0.87[/C][C]7.31764926493997[/C][C]0.048783921960556[/C][/ROW]
[ROW][C]0.88[/C][C]7.33103656430795[/C][C]0.0460854405354447[/C][/ROW]
[ROW][C]0.89[/C][C]7.34434224304763[/C][C]0.0439937780038234[/C][/ROW]
[ROW][C]0.9[/C][C]7.35775716978801[/C][C]0.0425010494218331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205539&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
0.016.116720511665570.0188449315317985
0.026.126920334178410.0179384033099101
0.036.137593476824980.0177209236245496
0.046.147645495169890.0192550723675043
0.056.157371566168110.0228808978265555
0.066.167402920258440.0275904400492641
0.076.178135176420910.0321552996621884
0.086.189619881398510.0358721484887981
0.096.201679838881880.0385928517792854
0.16.214066789046960.0405300955260642
0.116.226572021265170.042012216037482
0.126.239070367663040.0433394022487812
0.136.251514811652060.0446838046543864
0.146.263907553232130.0460983792871829
0.156.276267068522680.047548758876593
0.166.288601545181530.0489114470630056
0.176.30089279009310.0500058815949722
0.186.313091572326670.0506623811321396
0.196.325123590372280.0507614735154378
0.26.336903574334370.0502943909142876
0.216.34835346695740.0493698182111437
0.226.359419883143410.0481655749827069
0.236.370086641078440.0469534872520047
0.246.380379938817920.0459578686634993
0.256.390366010931550.045397074154819
0.266.400143008611640.0454124217377576
0.276.409829853430320.0460625112300387
0.286.419554821505720.0473557160756727
0.296.429445895315720.049260266520597
0.36.43962390781560.0517265020391491
0.316.450198580734280.054675663032681
0.326.461266940298340.0580689985046728
0.336.472913313279620.0618463676732474
0.346.48521007889210.0659561973664251
0.356.498218456223030.0703421702896947
0.366.51198875026050.0749625297425632
0.376.52655962723370.0797672746667504
0.386.541956156261010.0846857830571739
0.396.558186572104220.0896209828719296
0.46.575237999397610.0944491530945843
0.416.593071707993550.0990103346509997
0.426.611618774892060.103117154871586
0.436.630777218977540.106552221230374
0.446.650411666720820.10912634900903
0.456.67035635758150.110648027373857
0.466.690421827132490.110990950538314
0.476.710404997688490.110100914498063
0.486.730101787937580.108001234699683
0.496.74932086173750.104792870723456
0.56.767896881333770.100672599702884
0.516.785701665653320.0958834487386701
0.526.802651966823770.0907032684567563
0.536.818713094382970.0854224269876397
0.546.833898224979360.0803402926058271
0.556.848263814216550.0756818020549724
0.566.861901973641130.0716381275320344
0.576.874930926389940.0683337520681917
0.586.887484696633240.0658266769109666
0.596.899703056368710.0641216566329678
0.66.911722519887590.0631561812152901
0.616.923668926688710.0628472715114881
0.626.935651959835450.0630675745888706
0.636.947761841883470.0636848194458968
0.646.960068412652370.0645738886496828
0.656.97262274701170.0656162765210669
0.666.985461312586180.0667161783445617
0.676.998612310361580.0678278646574791
0.687.012103272556780.0689516541518397
0.697.025968317282370.0701364694149393
0.77.040252910667510.0714896658202983
0.717.055013874260190.0731070303733308
0.727.070312976965990.0750455255072485
0.737.086203868940890.0772721921078315
0.747.10271415041640.0796385661537888
0.757.119826482884790.0818409186185147
0.767.137464071536160.0835250261450281
0.777.155485827201710.0842813053368653
0.787.173694666177320.0838308588732003
0.797.191858988030080.0820301739201568
0.87.209743365830240.0789382971782309
0.817.227141341466820.074817178663998
0.827.24390231273530.0700567507564322
0.837.259946459905310.0650892752425655
0.847.275265914196750.0602922933540261
0.857.289915179710740.0559090445950302
0.867.303996947575920.0520604333672255
0.877.317649264939970.048783921960556
0.887.331036564307950.0460854405354447
0.897.344342243047630.0439937780038234
0.97.357757169788010.0425010494218331



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.9 ; 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')