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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Feb 2012 13:53:19 -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/2012/Feb/27/t1330368821e71rwy9x0rea8vv.htm/, Retrieved Sun, 28 Apr 2024 04:18:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163303, Retrieved Sun, 28 Apr 2024 04:18:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2012-02-27 17:29:24] [3358636ab12659d9741ec89cc56e4afc]
- RMPD    [Harrell-Davis Quantiles] [] [2012-02-27 18:53:19] [426bb746e0076029d53908613853082a] [Current]
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Dataseries X:
2.07
2.08
2.08
2.08
2.09
2.09
2.09
2.1
2.1
2.1
2.11
2.11
2.11
2.13
2.18
2.2
2.21
2.21
2.22
2.22
2.23
2.23
2.23
2.23
2.24
2.25
2.26
2.27
2.28
2.29
2.3
2.3
2.3
2.32
2.32
2.32
2.33
2.34
2.34
2.34
2.35
2.35
2.36
2.37
2.37
2.37
2.38
2.38
2.38
2.39
2.4
2.41
2.42
2.43
2.43
2.43
2.43
2.44
2.44
2.45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163303&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163303&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163303&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.12.091864897482310.0076465221379583
0.112.094083685918860.00843503614603912
0.122.096448855701260.00956902038923734
0.132.099034556085460.0111588995146343
0.142.101933309410990.0132951496728948
0.152.105247979114640.0160282175755557
0.162.109081572755420.0193298025770113
0.172.113524848535930.0230984025800482
0.182.118642732440620.0271426181843141
0.192.124461619194020.0312108871265783
0.22.13096009935560.0350157816492758
0.212.138065320349990.0382641539052401
0.222.145656180438090.0407048567947347
0.232.153573198205630.0421654787138059
0.242.161633582731160.0425646745792257
0.252.169649084072440.04192758729956
0.262.1774438298540.0403657875310046
0.272.184869583055630.0380769021934505
0.282.191816565122910.0352984547613725
0.292.198218952914230.0322817207235257
0.32.20405512750790.0292659008981737
0.312.209343521819120.0264702267190435
0.322.214135366426390.0240549248706807
0.332.218505753694860.022143357971216
0.342.222544294696370.0208020101303591
0.352.226346340180260.0200417179203859
0.362.230005387791480.0198287175102089
0.372.233606988116620.0200910815327509
0.382.23722423685470.0207253089017593
0.392.24091480567370.0216192070584523
0.42.244719399719340.0226625182608313
0.412.248661504003830.0237466512479374
0.422.252748265558930.0247739993416168
0.432.256972335962340.0256798870318592
0.442.261314465660770.0263933977138577
0.452.265746604154830.0268808897257713
0.462.270235230827950.0271258255124044
0.472.274744632194010.0271292732855839
0.482.279239860505560.026911330166993
0.492.283689157403350.0265020559013314
0.52.288065699395790.0259407172185297
0.512.292348609123440.0252693814296658
0.522.296523264593770.0245297569346684
0.532.300581014841720.0237585796071966
0.542.304518464101650.022985458883322
0.552.30833651095370.0222324356802533
0.562.312039322404770.0215110740487156
0.572.31563338892240.0208312375763167
0.582.319126752894340.0201973049084361
0.592.322528440791510.0196106092672714
0.62.325848070809340.0190735667831012
0.612.32909556469250.0185878967068748
0.622.332280873882660.0181567724875073
0.632.335413640603110.0177755064420064
0.642.338502752654390.0174461420800677
0.652.341555808868630.0171604430066143
0.662.344578577184340.0169062877780443
0.672.347574582677220.0166653414443055
0.682.350544992169930.0164192372406056
0.692.35348895265370.0161533707459563
0.72.356404487318150.0158526490103059
0.712.359289959294940.0155157604052044
0.722.362145992134390.0151548603764796
0.732.364977607370160.0147924042522386
0.742.367796226586580.0144708847718811
0.752.370621111148310.0142388220846558
0.762.373479796549940.0141478711240987
0.772.376407133681770.0142434749427077
0.782.379442682328950.0145529080542347
0.792.382626410623890.0150707774300934
0.82.385992926213150.0157583860369797
0.812.389564778630920.0165345455076245
0.822.393345695250820.0172928832083702
0.832.397314901650680.0179037498783624
0.842.401423874760590.0182325235658974
0.852.405596909581650.0181631091338631
0.862.409736649784020.0176132250451595
0.872.413735119760060.0165516879457914
0.882.417489690273920.015023400856625
0.892.420921800506080.0131485793888437
0.92.42399441063660.0111214353305265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 2.09186489748231 & 0.0076465221379583 \tabularnewline
0.11 & 2.09408368591886 & 0.00843503614603912 \tabularnewline
0.12 & 2.09644885570126 & 0.00956902038923734 \tabularnewline
0.13 & 2.09903455608546 & 0.0111588995146343 \tabularnewline
0.14 & 2.10193330941099 & 0.0132951496728948 \tabularnewline
0.15 & 2.10524797911464 & 0.0160282175755557 \tabularnewline
0.16 & 2.10908157275542 & 0.0193298025770113 \tabularnewline
0.17 & 2.11352484853593 & 0.0230984025800482 \tabularnewline
0.18 & 2.11864273244062 & 0.0271426181843141 \tabularnewline
0.19 & 2.12446161919402 & 0.0312108871265783 \tabularnewline
0.2 & 2.1309600993556 & 0.0350157816492758 \tabularnewline
0.21 & 2.13806532034999 & 0.0382641539052401 \tabularnewline
0.22 & 2.14565618043809 & 0.0407048567947347 \tabularnewline
0.23 & 2.15357319820563 & 0.0421654787138059 \tabularnewline
0.24 & 2.16163358273116 & 0.0425646745792257 \tabularnewline
0.25 & 2.16964908407244 & 0.04192758729956 \tabularnewline
0.26 & 2.177443829854 & 0.0403657875310046 \tabularnewline
0.27 & 2.18486958305563 & 0.0380769021934505 \tabularnewline
0.28 & 2.19181656512291 & 0.0352984547613725 \tabularnewline
0.29 & 2.19821895291423 & 0.0322817207235257 \tabularnewline
0.3 & 2.2040551275079 & 0.0292659008981737 \tabularnewline
0.31 & 2.20934352181912 & 0.0264702267190435 \tabularnewline
0.32 & 2.21413536642639 & 0.0240549248706807 \tabularnewline
0.33 & 2.21850575369486 & 0.022143357971216 \tabularnewline
0.34 & 2.22254429469637 & 0.0208020101303591 \tabularnewline
0.35 & 2.22634634018026 & 0.0200417179203859 \tabularnewline
0.36 & 2.23000538779148 & 0.0198287175102089 \tabularnewline
0.37 & 2.23360698811662 & 0.0200910815327509 \tabularnewline
0.38 & 2.2372242368547 & 0.0207253089017593 \tabularnewline
0.39 & 2.2409148056737 & 0.0216192070584523 \tabularnewline
0.4 & 2.24471939971934 & 0.0226625182608313 \tabularnewline
0.41 & 2.24866150400383 & 0.0237466512479374 \tabularnewline
0.42 & 2.25274826555893 & 0.0247739993416168 \tabularnewline
0.43 & 2.25697233596234 & 0.0256798870318592 \tabularnewline
0.44 & 2.26131446566077 & 0.0263933977138577 \tabularnewline
0.45 & 2.26574660415483 & 0.0268808897257713 \tabularnewline
0.46 & 2.27023523082795 & 0.0271258255124044 \tabularnewline
0.47 & 2.27474463219401 & 0.0271292732855839 \tabularnewline
0.48 & 2.27923986050556 & 0.026911330166993 \tabularnewline
0.49 & 2.28368915740335 & 0.0265020559013314 \tabularnewline
0.5 & 2.28806569939579 & 0.0259407172185297 \tabularnewline
0.51 & 2.29234860912344 & 0.0252693814296658 \tabularnewline
0.52 & 2.29652326459377 & 0.0245297569346684 \tabularnewline
0.53 & 2.30058101484172 & 0.0237585796071966 \tabularnewline
0.54 & 2.30451846410165 & 0.022985458883322 \tabularnewline
0.55 & 2.3083365109537 & 0.0222324356802533 \tabularnewline
0.56 & 2.31203932240477 & 0.0215110740487156 \tabularnewline
0.57 & 2.3156333889224 & 0.0208312375763167 \tabularnewline
0.58 & 2.31912675289434 & 0.0201973049084361 \tabularnewline
0.59 & 2.32252844079151 & 0.0196106092672714 \tabularnewline
0.6 & 2.32584807080934 & 0.0190735667831012 \tabularnewline
0.61 & 2.3290955646925 & 0.0185878967068748 \tabularnewline
0.62 & 2.33228087388266 & 0.0181567724875073 \tabularnewline
0.63 & 2.33541364060311 & 0.0177755064420064 \tabularnewline
0.64 & 2.33850275265439 & 0.0174461420800677 \tabularnewline
0.65 & 2.34155580886863 & 0.0171604430066143 \tabularnewline
0.66 & 2.34457857718434 & 0.0169062877780443 \tabularnewline
0.67 & 2.34757458267722 & 0.0166653414443055 \tabularnewline
0.68 & 2.35054499216993 & 0.0164192372406056 \tabularnewline
0.69 & 2.3534889526537 & 0.0161533707459563 \tabularnewline
0.7 & 2.35640448731815 & 0.0158526490103059 \tabularnewline
0.71 & 2.35928995929494 & 0.0155157604052044 \tabularnewline
0.72 & 2.36214599213439 & 0.0151548603764796 \tabularnewline
0.73 & 2.36497760737016 & 0.0147924042522386 \tabularnewline
0.74 & 2.36779622658658 & 0.0144708847718811 \tabularnewline
0.75 & 2.37062111114831 & 0.0142388220846558 \tabularnewline
0.76 & 2.37347979654994 & 0.0141478711240987 \tabularnewline
0.77 & 2.37640713368177 & 0.0142434749427077 \tabularnewline
0.78 & 2.37944268232895 & 0.0145529080542347 \tabularnewline
0.79 & 2.38262641062389 & 0.0150707774300934 \tabularnewline
0.8 & 2.38599292621315 & 0.0157583860369797 \tabularnewline
0.81 & 2.38956477863092 & 0.0165345455076245 \tabularnewline
0.82 & 2.39334569525082 & 0.0172928832083702 \tabularnewline
0.83 & 2.39731490165068 & 0.0179037498783624 \tabularnewline
0.84 & 2.40142387476059 & 0.0182325235658974 \tabularnewline
0.85 & 2.40559690958165 & 0.0181631091338631 \tabularnewline
0.86 & 2.40973664978402 & 0.0176132250451595 \tabularnewline
0.87 & 2.41373511976006 & 0.0165516879457914 \tabularnewline
0.88 & 2.41748969027392 & 0.015023400856625 \tabularnewline
0.89 & 2.42092180050608 & 0.0131485793888437 \tabularnewline
0.9 & 2.4239944106366 & 0.0111214353305265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163303&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]2.09186489748231[/C][C]0.0076465221379583[/C][/ROW]
[ROW][C]0.11[/C][C]2.09408368591886[/C][C]0.00843503614603912[/C][/ROW]
[ROW][C]0.12[/C][C]2.09644885570126[/C][C]0.00956902038923734[/C][/ROW]
[ROW][C]0.13[/C][C]2.09903455608546[/C][C]0.0111588995146343[/C][/ROW]
[ROW][C]0.14[/C][C]2.10193330941099[/C][C]0.0132951496728948[/C][/ROW]
[ROW][C]0.15[/C][C]2.10524797911464[/C][C]0.0160282175755557[/C][/ROW]
[ROW][C]0.16[/C][C]2.10908157275542[/C][C]0.0193298025770113[/C][/ROW]
[ROW][C]0.17[/C][C]2.11352484853593[/C][C]0.0230984025800482[/C][/ROW]
[ROW][C]0.18[/C][C]2.11864273244062[/C][C]0.0271426181843141[/C][/ROW]
[ROW][C]0.19[/C][C]2.12446161919402[/C][C]0.0312108871265783[/C][/ROW]
[ROW][C]0.2[/C][C]2.1309600993556[/C][C]0.0350157816492758[/C][/ROW]
[ROW][C]0.21[/C][C]2.13806532034999[/C][C]0.0382641539052401[/C][/ROW]
[ROW][C]0.22[/C][C]2.14565618043809[/C][C]0.0407048567947347[/C][/ROW]
[ROW][C]0.23[/C][C]2.15357319820563[/C][C]0.0421654787138059[/C][/ROW]
[ROW][C]0.24[/C][C]2.16163358273116[/C][C]0.0425646745792257[/C][/ROW]
[ROW][C]0.25[/C][C]2.16964908407244[/C][C]0.04192758729956[/C][/ROW]
[ROW][C]0.26[/C][C]2.177443829854[/C][C]0.0403657875310046[/C][/ROW]
[ROW][C]0.27[/C][C]2.18486958305563[/C][C]0.0380769021934505[/C][/ROW]
[ROW][C]0.28[/C][C]2.19181656512291[/C][C]0.0352984547613725[/C][/ROW]
[ROW][C]0.29[/C][C]2.19821895291423[/C][C]0.0322817207235257[/C][/ROW]
[ROW][C]0.3[/C][C]2.2040551275079[/C][C]0.0292659008981737[/C][/ROW]
[ROW][C]0.31[/C][C]2.20934352181912[/C][C]0.0264702267190435[/C][/ROW]
[ROW][C]0.32[/C][C]2.21413536642639[/C][C]0.0240549248706807[/C][/ROW]
[ROW][C]0.33[/C][C]2.21850575369486[/C][C]0.022143357971216[/C][/ROW]
[ROW][C]0.34[/C][C]2.22254429469637[/C][C]0.0208020101303591[/C][/ROW]
[ROW][C]0.35[/C][C]2.22634634018026[/C][C]0.0200417179203859[/C][/ROW]
[ROW][C]0.36[/C][C]2.23000538779148[/C][C]0.0198287175102089[/C][/ROW]
[ROW][C]0.37[/C][C]2.23360698811662[/C][C]0.0200910815327509[/C][/ROW]
[ROW][C]0.38[/C][C]2.2372242368547[/C][C]0.0207253089017593[/C][/ROW]
[ROW][C]0.39[/C][C]2.2409148056737[/C][C]0.0216192070584523[/C][/ROW]
[ROW][C]0.4[/C][C]2.24471939971934[/C][C]0.0226625182608313[/C][/ROW]
[ROW][C]0.41[/C][C]2.24866150400383[/C][C]0.0237466512479374[/C][/ROW]
[ROW][C]0.42[/C][C]2.25274826555893[/C][C]0.0247739993416168[/C][/ROW]
[ROW][C]0.43[/C][C]2.25697233596234[/C][C]0.0256798870318592[/C][/ROW]
[ROW][C]0.44[/C][C]2.26131446566077[/C][C]0.0263933977138577[/C][/ROW]
[ROW][C]0.45[/C][C]2.26574660415483[/C][C]0.0268808897257713[/C][/ROW]
[ROW][C]0.46[/C][C]2.27023523082795[/C][C]0.0271258255124044[/C][/ROW]
[ROW][C]0.47[/C][C]2.27474463219401[/C][C]0.0271292732855839[/C][/ROW]
[ROW][C]0.48[/C][C]2.27923986050556[/C][C]0.026911330166993[/C][/ROW]
[ROW][C]0.49[/C][C]2.28368915740335[/C][C]0.0265020559013314[/C][/ROW]
[ROW][C]0.5[/C][C]2.28806569939579[/C][C]0.0259407172185297[/C][/ROW]
[ROW][C]0.51[/C][C]2.29234860912344[/C][C]0.0252693814296658[/C][/ROW]
[ROW][C]0.52[/C][C]2.29652326459377[/C][C]0.0245297569346684[/C][/ROW]
[ROW][C]0.53[/C][C]2.30058101484172[/C][C]0.0237585796071966[/C][/ROW]
[ROW][C]0.54[/C][C]2.30451846410165[/C][C]0.022985458883322[/C][/ROW]
[ROW][C]0.55[/C][C]2.3083365109537[/C][C]0.0222324356802533[/C][/ROW]
[ROW][C]0.56[/C][C]2.31203932240477[/C][C]0.0215110740487156[/C][/ROW]
[ROW][C]0.57[/C][C]2.3156333889224[/C][C]0.0208312375763167[/C][/ROW]
[ROW][C]0.58[/C][C]2.31912675289434[/C][C]0.0201973049084361[/C][/ROW]
[ROW][C]0.59[/C][C]2.32252844079151[/C][C]0.0196106092672714[/C][/ROW]
[ROW][C]0.6[/C][C]2.32584807080934[/C][C]0.0190735667831012[/C][/ROW]
[ROW][C]0.61[/C][C]2.3290955646925[/C][C]0.0185878967068748[/C][/ROW]
[ROW][C]0.62[/C][C]2.33228087388266[/C][C]0.0181567724875073[/C][/ROW]
[ROW][C]0.63[/C][C]2.33541364060311[/C][C]0.0177755064420064[/C][/ROW]
[ROW][C]0.64[/C][C]2.33850275265439[/C][C]0.0174461420800677[/C][/ROW]
[ROW][C]0.65[/C][C]2.34155580886863[/C][C]0.0171604430066143[/C][/ROW]
[ROW][C]0.66[/C][C]2.34457857718434[/C][C]0.0169062877780443[/C][/ROW]
[ROW][C]0.67[/C][C]2.34757458267722[/C][C]0.0166653414443055[/C][/ROW]
[ROW][C]0.68[/C][C]2.35054499216993[/C][C]0.0164192372406056[/C][/ROW]
[ROW][C]0.69[/C][C]2.3534889526537[/C][C]0.0161533707459563[/C][/ROW]
[ROW][C]0.7[/C][C]2.35640448731815[/C][C]0.0158526490103059[/C][/ROW]
[ROW][C]0.71[/C][C]2.35928995929494[/C][C]0.0155157604052044[/C][/ROW]
[ROW][C]0.72[/C][C]2.36214599213439[/C][C]0.0151548603764796[/C][/ROW]
[ROW][C]0.73[/C][C]2.36497760737016[/C][C]0.0147924042522386[/C][/ROW]
[ROW][C]0.74[/C][C]2.36779622658658[/C][C]0.0144708847718811[/C][/ROW]
[ROW][C]0.75[/C][C]2.37062111114831[/C][C]0.0142388220846558[/C][/ROW]
[ROW][C]0.76[/C][C]2.37347979654994[/C][C]0.0141478711240987[/C][/ROW]
[ROW][C]0.77[/C][C]2.37640713368177[/C][C]0.0142434749427077[/C][/ROW]
[ROW][C]0.78[/C][C]2.37944268232895[/C][C]0.0145529080542347[/C][/ROW]
[ROW][C]0.79[/C][C]2.38262641062389[/C][C]0.0150707774300934[/C][/ROW]
[ROW][C]0.8[/C][C]2.38599292621315[/C][C]0.0157583860369797[/C][/ROW]
[ROW][C]0.81[/C][C]2.38956477863092[/C][C]0.0165345455076245[/C][/ROW]
[ROW][C]0.82[/C][C]2.39334569525082[/C][C]0.0172928832083702[/C][/ROW]
[ROW][C]0.83[/C][C]2.39731490165068[/C][C]0.0179037498783624[/C][/ROW]
[ROW][C]0.84[/C][C]2.40142387476059[/C][C]0.0182325235658974[/C][/ROW]
[ROW][C]0.85[/C][C]2.40559690958165[/C][C]0.0181631091338631[/C][/ROW]
[ROW][C]0.86[/C][C]2.40973664978402[/C][C]0.0176132250451595[/C][/ROW]
[ROW][C]0.87[/C][C]2.41373511976006[/C][C]0.0165516879457914[/C][/ROW]
[ROW][C]0.88[/C][C]2.41748969027392[/C][C]0.015023400856625[/C][/ROW]
[ROW][C]0.89[/C][C]2.42092180050608[/C][C]0.0131485793888437[/C][/ROW]
[ROW][C]0.9[/C][C]2.4239944106366[/C][C]0.0111214353305265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163303&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163303&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
0.12.091864897482310.0076465221379583
0.112.094083685918860.00843503614603912
0.122.096448855701260.00956902038923734
0.132.099034556085460.0111588995146343
0.142.101933309410990.0132951496728948
0.152.105247979114640.0160282175755557
0.162.109081572755420.0193298025770113
0.172.113524848535930.0230984025800482
0.182.118642732440620.0271426181843141
0.192.124461619194020.0312108871265783
0.22.13096009935560.0350157816492758
0.212.138065320349990.0382641539052401
0.222.145656180438090.0407048567947347
0.232.153573198205630.0421654787138059
0.242.161633582731160.0425646745792257
0.252.169649084072440.04192758729956
0.262.1774438298540.0403657875310046
0.272.184869583055630.0380769021934505
0.282.191816565122910.0352984547613725
0.292.198218952914230.0322817207235257
0.32.20405512750790.0292659008981737
0.312.209343521819120.0264702267190435
0.322.214135366426390.0240549248706807
0.332.218505753694860.022143357971216
0.342.222544294696370.0208020101303591
0.352.226346340180260.0200417179203859
0.362.230005387791480.0198287175102089
0.372.233606988116620.0200910815327509
0.382.23722423685470.0207253089017593
0.392.24091480567370.0216192070584523
0.42.244719399719340.0226625182608313
0.412.248661504003830.0237466512479374
0.422.252748265558930.0247739993416168
0.432.256972335962340.0256798870318592
0.442.261314465660770.0263933977138577
0.452.265746604154830.0268808897257713
0.462.270235230827950.0271258255124044
0.472.274744632194010.0271292732855839
0.482.279239860505560.026911330166993
0.492.283689157403350.0265020559013314
0.52.288065699395790.0259407172185297
0.512.292348609123440.0252693814296658
0.522.296523264593770.0245297569346684
0.532.300581014841720.0237585796071966
0.542.304518464101650.022985458883322
0.552.30833651095370.0222324356802533
0.562.312039322404770.0215110740487156
0.572.31563338892240.0208312375763167
0.582.319126752894340.0201973049084361
0.592.322528440791510.0196106092672714
0.62.325848070809340.0190735667831012
0.612.32909556469250.0185878967068748
0.622.332280873882660.0181567724875073
0.632.335413640603110.0177755064420064
0.642.338502752654390.0174461420800677
0.652.341555808868630.0171604430066143
0.662.344578577184340.0169062877780443
0.672.347574582677220.0166653414443055
0.682.350544992169930.0164192372406056
0.692.35348895265370.0161533707459563
0.72.356404487318150.0158526490103059
0.712.359289959294940.0155157604052044
0.722.362145992134390.0151548603764796
0.732.364977607370160.0147924042522386
0.742.367796226586580.0144708847718811
0.752.370621111148310.0142388220846558
0.762.373479796549940.0141478711240987
0.772.376407133681770.0142434749427077
0.782.379442682328950.0145529080542347
0.792.382626410623890.0150707774300934
0.82.385992926213150.0157583860369797
0.812.389564778630920.0165345455076245
0.822.393345695250820.0172928832083702
0.832.397314901650680.0179037498783624
0.842.401423874760590.0182325235658974
0.852.405596909581650.0181631091338631
0.862.409736649784020.0176132250451595
0.872.413735119760060.0165516879457914
0.882.417489690273920.015023400856625
0.892.420921800506080.0131485793888437
0.92.42399441063660.0111214353305265



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; 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')