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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 17:05:20 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225062721b0vck6oe723ko95.htm/, Retrieved Sun, 19 May 2024 14:09:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19087, Retrieved Sun, 19 May 2024 14:09:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-26 23:05:20] [dafd615cb3e0decc017580d68ecea30a] [Current]
F    D      [Harrell-Davis Quantiles] [Q9] [2008-10-28 07:21:34] [b641c14ac36cb6fee377f3b099dcac19]
Feedback Forum
2008-11-01 11:26:50 [Ellen Smolders] [reply] 
De student heeft deze vraag correct beantwoord.
2008-11-02 23:03:07 [Jeroen Michel] [reply] 
Ook hier zijn de juiste resulaten weergegeven (dit onder bijbehorende link). De student geeft ook een uitgebreide conclusie over de gevonden resultaten. Dit is zeker van groot belang bij de interpretatie van de gebruikte en gevonden data.
2008-11-03 20:35:09 [Jeroen Aerts] [reply] 
Dit antwoord is correct.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,934438583
0,934438583
0,926204819
0,929003021
0,927756654
0,923664122
0,925784239
0,914681015
0,914020139
0,921875
0,929133858
0,936507937
0,944
0,953920776
0,958230958
0,956738769
0,953586498
0,955631399
0,963855422
0,973066898
0,984182777
0,984915705
0,992844365
0,989208633
0,976491863
0,97538742
0,966850829
0,974025974
0,986046512
0,986046512
0,986964618
0,979477612
0,980392157
0,979477612
0,976744186
0,973123262
0,968634686
0,965073529
0,963302752
0,972477064
0,981651376
0,974264706
0,968634686
0,962072155
0,955473098
0,950605778
0,947467167
0,934844193
0,929791271
0,920303605
0,918560606
0,909090909
0,909090909
0,908230842
0,909090909
0,910815939
0,910815939
0,909952607
0,91769158
0,926275992

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19087&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19087&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19087&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9084085942183380.000695421578785297
0.020.9086586645840420.000524458920822747
0.030.9089165235285160.000456961226026705
0.040.909168296522140.000564389426873471
0.050.9094370167402910.000805472148152338
0.060.9097548883778470.00112557158868252
0.070.9101468430001070.00149433796747484
0.080.9106265259516520.00189271802079461
0.090.9111981127271350.00230308718106552
0.10.911859041943090.00270797739765059
0.110.9126019569294370.00308609859357484
0.120.9134159475140830.00342167069608598
0.130.9142875991526280.00370074592130895
0.140.9152021285011250.00391918987588466
0.150.9161445726369750.00407758354880803
0.160.9171008445316790.00417948151724445
0.170.9180584885404990.00423324076612584
0.180.9190070846050490.00424398947350979
0.190.919938366438370.00422057274587453
0.20.9208461813093430.00416885962818101
0.210.9217264161636270.0040957462089497
0.220.9225769668309550.00400996889222472
0.230.9233977651372010.00392247791729528
0.240.9241908292278320.00384490337537262
0.250.9249602791131410.00379047108558356
0.260.9257122630753030.00377163080473142
0.270.9264547626866870.00380143876693688
0.280.9271972726612630.00388914775563033
0.290.9279503757174270.00404095483262106
0.30.9287252455718950.00425730641441165
0.310.9295331120103180.00454002322584271
0.320.9303847141582980.00488096538542682
0.330.931289757608570.0052750313455801
0.340.9322563840416710.00571222883357032
0.350.9332906624736810.00617676354950492
0.360.934396120030740.00665387851270216
0.370.9355733444450570.00712512489671813
0.380.936819704929860.00756881954456887
0.390.9381292463913220.00796477682032264
0.40.939492808736030.00829222585294674
0.410.9408984057161170.00853311368863969
0.420.9423318674388770.00867641555386509
0.430.9437777122098760.00871571825265031
0.440.9452201743430950.00865154803293444
0.450.9466442834337920.00849023370282595
0.460.9480368746499750.0082496870998715
0.470.9493874131614880.0079484605569556
0.480.9506885391186880.00760937277439888
0.490.951936278676790.00725597644020010
0.50.953129914230150.00690954526282173
0.510.9542715544211680.00658951734573958
0.520.9553654830571980.00630586278173825
0.530.9564173893128320.00606584776389751
0.540.957433586341590.00586990749769514
0.550.9584203122942520.00571252718542208
0.560.959383180815730.00558682354457608
0.570.9603268138478440.00548311690126701
0.580.9612546553953680.00539267199871485
0.590.9621689375250050.00530848590796171
0.60.9630707539069240.00522482968414398
0.610.9639601933911010.00513586364517668
0.620.9648364950240950.0050388303833175
0.630.9656982025214960.00493123936088477
0.640.9665433149368860.00481015060461498
0.650.9673694453891060.00467344879184215
0.660.9681740067758080.00452054136449796
0.670.9689544403280220.0043511991783585
0.680.9697084904489060.00416622378503251
0.690.9704345110350830.00396926372818318
0.70.9711317697544780.00376655485729334
0.710.9718007034153670.00356505558152533
0.720.9724430744676440.00337326012447799
0.730.9730619883435660.00320042003436566
0.740.9736617530795570.00305388838571453
0.750.9742475923893680.0029400800940161
0.760.9748252541987150.00285953236436131
0.770.9754005801871930.00281197736836978
0.780.9759791100322750.00279087842968468
0.790.976565781349740.00279078254172531
0.80.9771647523449640.00280429793909272
0.810.977779325526320.00282581444287377
0.820.978411901783650.00285023246979151
0.830.9790638649489450.00287426940654998
0.840.9797353088264460.00289405071558728
0.850.9804245857308390.00290304609481698
0.860.9811277757838660.00289213115599627
0.870.9818383248090170.00284902259927216
0.880.982547227842080.0027611713219444
0.890.983244182953460.00261930163876833
0.90.9839200479421230.00242462161163958
0.910.984570671772570.00219222533870671
0.920.9852017691364270.00195479598692216
0.930.9858340260078880.00176367320237925
0.940.9865070158548180.00168053296744549
0.950.9872792083418760.00175347683151226
0.960.9882180560782560.00198521987311266
0.970.989368617884230.00234090936543411
0.980.9906891516089150.00277957191008646
0.990.9919714936263930.00323803200708834

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.908408594218338 & 0.000695421578785297 \tabularnewline
0.02 & 0.908658664584042 & 0.000524458920822747 \tabularnewline
0.03 & 0.908916523528516 & 0.000456961226026705 \tabularnewline
0.04 & 0.90916829652214 & 0.000564389426873471 \tabularnewline
0.05 & 0.909437016740291 & 0.000805472148152338 \tabularnewline
0.06 & 0.909754888377847 & 0.00112557158868252 \tabularnewline
0.07 & 0.910146843000107 & 0.00149433796747484 \tabularnewline
0.08 & 0.910626525951652 & 0.00189271802079461 \tabularnewline
0.09 & 0.911198112727135 & 0.00230308718106552 \tabularnewline
0.1 & 0.91185904194309 & 0.00270797739765059 \tabularnewline
0.11 & 0.912601956929437 & 0.00308609859357484 \tabularnewline
0.12 & 0.913415947514083 & 0.00342167069608598 \tabularnewline
0.13 & 0.914287599152628 & 0.00370074592130895 \tabularnewline
0.14 & 0.915202128501125 & 0.00391918987588466 \tabularnewline
0.15 & 0.916144572636975 & 0.00407758354880803 \tabularnewline
0.16 & 0.917100844531679 & 0.00417948151724445 \tabularnewline
0.17 & 0.918058488540499 & 0.00423324076612584 \tabularnewline
0.18 & 0.919007084605049 & 0.00424398947350979 \tabularnewline
0.19 & 0.91993836643837 & 0.00422057274587453 \tabularnewline
0.2 & 0.920846181309343 & 0.00416885962818101 \tabularnewline
0.21 & 0.921726416163627 & 0.0040957462089497 \tabularnewline
0.22 & 0.922576966830955 & 0.00400996889222472 \tabularnewline
0.23 & 0.923397765137201 & 0.00392247791729528 \tabularnewline
0.24 & 0.924190829227832 & 0.00384490337537262 \tabularnewline
0.25 & 0.924960279113141 & 0.00379047108558356 \tabularnewline
0.26 & 0.925712263075303 & 0.00377163080473142 \tabularnewline
0.27 & 0.926454762686687 & 0.00380143876693688 \tabularnewline
0.28 & 0.927197272661263 & 0.00388914775563033 \tabularnewline
0.29 & 0.927950375717427 & 0.00404095483262106 \tabularnewline
0.3 & 0.928725245571895 & 0.00425730641441165 \tabularnewline
0.31 & 0.929533112010318 & 0.00454002322584271 \tabularnewline
0.32 & 0.930384714158298 & 0.00488096538542682 \tabularnewline
0.33 & 0.93128975760857 & 0.0052750313455801 \tabularnewline
0.34 & 0.932256384041671 & 0.00571222883357032 \tabularnewline
0.35 & 0.933290662473681 & 0.00617676354950492 \tabularnewline
0.36 & 0.93439612003074 & 0.00665387851270216 \tabularnewline
0.37 & 0.935573344445057 & 0.00712512489671813 \tabularnewline
0.38 & 0.93681970492986 & 0.00756881954456887 \tabularnewline
0.39 & 0.938129246391322 & 0.00796477682032264 \tabularnewline
0.4 & 0.93949280873603 & 0.00829222585294674 \tabularnewline
0.41 & 0.940898405716117 & 0.00853311368863969 \tabularnewline
0.42 & 0.942331867438877 & 0.00867641555386509 \tabularnewline
0.43 & 0.943777712209876 & 0.00871571825265031 \tabularnewline
0.44 & 0.945220174343095 & 0.00865154803293444 \tabularnewline
0.45 & 0.946644283433792 & 0.00849023370282595 \tabularnewline
0.46 & 0.948036874649975 & 0.0082496870998715 \tabularnewline
0.47 & 0.949387413161488 & 0.0079484605569556 \tabularnewline
0.48 & 0.950688539118688 & 0.00760937277439888 \tabularnewline
0.49 & 0.95193627867679 & 0.00725597644020010 \tabularnewline
0.5 & 0.95312991423015 & 0.00690954526282173 \tabularnewline
0.51 & 0.954271554421168 & 0.00658951734573958 \tabularnewline
0.52 & 0.955365483057198 & 0.00630586278173825 \tabularnewline
0.53 & 0.956417389312832 & 0.00606584776389751 \tabularnewline
0.54 & 0.95743358634159 & 0.00586990749769514 \tabularnewline
0.55 & 0.958420312294252 & 0.00571252718542208 \tabularnewline
0.56 & 0.95938318081573 & 0.00558682354457608 \tabularnewline
0.57 & 0.960326813847844 & 0.00548311690126701 \tabularnewline
0.58 & 0.961254655395368 & 0.00539267199871485 \tabularnewline
0.59 & 0.962168937525005 & 0.00530848590796171 \tabularnewline
0.6 & 0.963070753906924 & 0.00522482968414398 \tabularnewline
0.61 & 0.963960193391101 & 0.00513586364517668 \tabularnewline
0.62 & 0.964836495024095 & 0.0050388303833175 \tabularnewline
0.63 & 0.965698202521496 & 0.00493123936088477 \tabularnewline
0.64 & 0.966543314936886 & 0.00481015060461498 \tabularnewline
0.65 & 0.967369445389106 & 0.00467344879184215 \tabularnewline
0.66 & 0.968174006775808 & 0.00452054136449796 \tabularnewline
0.67 & 0.968954440328022 & 0.0043511991783585 \tabularnewline
0.68 & 0.969708490448906 & 0.00416622378503251 \tabularnewline
0.69 & 0.970434511035083 & 0.00396926372818318 \tabularnewline
0.7 & 0.971131769754478 & 0.00376655485729334 \tabularnewline
0.71 & 0.971800703415367 & 0.00356505558152533 \tabularnewline
0.72 & 0.972443074467644 & 0.00337326012447799 \tabularnewline
0.73 & 0.973061988343566 & 0.00320042003436566 \tabularnewline
0.74 & 0.973661753079557 & 0.00305388838571453 \tabularnewline
0.75 & 0.974247592389368 & 0.0029400800940161 \tabularnewline
0.76 & 0.974825254198715 & 0.00285953236436131 \tabularnewline
0.77 & 0.975400580187193 & 0.00281197736836978 \tabularnewline
0.78 & 0.975979110032275 & 0.00279087842968468 \tabularnewline
0.79 & 0.97656578134974 & 0.00279078254172531 \tabularnewline
0.8 & 0.977164752344964 & 0.00280429793909272 \tabularnewline
0.81 & 0.97777932552632 & 0.00282581444287377 \tabularnewline
0.82 & 0.97841190178365 & 0.00285023246979151 \tabularnewline
0.83 & 0.979063864948945 & 0.00287426940654998 \tabularnewline
0.84 & 0.979735308826446 & 0.00289405071558728 \tabularnewline
0.85 & 0.980424585730839 & 0.00290304609481698 \tabularnewline
0.86 & 0.981127775783866 & 0.00289213115599627 \tabularnewline
0.87 & 0.981838324809017 & 0.00284902259927216 \tabularnewline
0.88 & 0.98254722784208 & 0.0027611713219444 \tabularnewline
0.89 & 0.98324418295346 & 0.00261930163876833 \tabularnewline
0.9 & 0.983920047942123 & 0.00242462161163958 \tabularnewline
0.91 & 0.98457067177257 & 0.00219222533870671 \tabularnewline
0.92 & 0.985201769136427 & 0.00195479598692216 \tabularnewline
0.93 & 0.985834026007888 & 0.00176367320237925 \tabularnewline
0.94 & 0.986507015854818 & 0.00168053296744549 \tabularnewline
0.95 & 0.987279208341876 & 0.00175347683151226 \tabularnewline
0.96 & 0.988218056078256 & 0.00198521987311266 \tabularnewline
0.97 & 0.98936861788423 & 0.00234090936543411 \tabularnewline
0.98 & 0.990689151608915 & 0.00277957191008646 \tabularnewline
0.99 & 0.991971493626393 & 0.00323803200708834 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19087&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]0.908408594218338[/C][C]0.000695421578785297[/C][/ROW]
[ROW][C]0.02[/C][C]0.908658664584042[/C][C]0.000524458920822747[/C][/ROW]
[ROW][C]0.03[/C][C]0.908916523528516[/C][C]0.000456961226026705[/C][/ROW]
[ROW][C]0.04[/C][C]0.90916829652214[/C][C]0.000564389426873471[/C][/ROW]
[ROW][C]0.05[/C][C]0.909437016740291[/C][C]0.000805472148152338[/C][/ROW]
[ROW][C]0.06[/C][C]0.909754888377847[/C][C]0.00112557158868252[/C][/ROW]
[ROW][C]0.07[/C][C]0.910146843000107[/C][C]0.00149433796747484[/C][/ROW]
[ROW][C]0.08[/C][C]0.910626525951652[/C][C]0.00189271802079461[/C][/ROW]
[ROW][C]0.09[/C][C]0.911198112727135[/C][C]0.00230308718106552[/C][/ROW]
[ROW][C]0.1[/C][C]0.91185904194309[/C][C]0.00270797739765059[/C][/ROW]
[ROW][C]0.11[/C][C]0.912601956929437[/C][C]0.00308609859357484[/C][/ROW]
[ROW][C]0.12[/C][C]0.913415947514083[/C][C]0.00342167069608598[/C][/ROW]
[ROW][C]0.13[/C][C]0.914287599152628[/C][C]0.00370074592130895[/C][/ROW]
[ROW][C]0.14[/C][C]0.915202128501125[/C][C]0.00391918987588466[/C][/ROW]
[ROW][C]0.15[/C][C]0.916144572636975[/C][C]0.00407758354880803[/C][/ROW]
[ROW][C]0.16[/C][C]0.917100844531679[/C][C]0.00417948151724445[/C][/ROW]
[ROW][C]0.17[/C][C]0.918058488540499[/C][C]0.00423324076612584[/C][/ROW]
[ROW][C]0.18[/C][C]0.919007084605049[/C][C]0.00424398947350979[/C][/ROW]
[ROW][C]0.19[/C][C]0.91993836643837[/C][C]0.00422057274587453[/C][/ROW]
[ROW][C]0.2[/C][C]0.920846181309343[/C][C]0.00416885962818101[/C][/ROW]
[ROW][C]0.21[/C][C]0.921726416163627[/C][C]0.0040957462089497[/C][/ROW]
[ROW][C]0.22[/C][C]0.922576966830955[/C][C]0.00400996889222472[/C][/ROW]
[ROW][C]0.23[/C][C]0.923397765137201[/C][C]0.00392247791729528[/C][/ROW]
[ROW][C]0.24[/C][C]0.924190829227832[/C][C]0.00384490337537262[/C][/ROW]
[ROW][C]0.25[/C][C]0.924960279113141[/C][C]0.00379047108558356[/C][/ROW]
[ROW][C]0.26[/C][C]0.925712263075303[/C][C]0.00377163080473142[/C][/ROW]
[ROW][C]0.27[/C][C]0.926454762686687[/C][C]0.00380143876693688[/C][/ROW]
[ROW][C]0.28[/C][C]0.927197272661263[/C][C]0.00388914775563033[/C][/ROW]
[ROW][C]0.29[/C][C]0.927950375717427[/C][C]0.00404095483262106[/C][/ROW]
[ROW][C]0.3[/C][C]0.928725245571895[/C][C]0.00425730641441165[/C][/ROW]
[ROW][C]0.31[/C][C]0.929533112010318[/C][C]0.00454002322584271[/C][/ROW]
[ROW][C]0.32[/C][C]0.930384714158298[/C][C]0.00488096538542682[/C][/ROW]
[ROW][C]0.33[/C][C]0.93128975760857[/C][C]0.0052750313455801[/C][/ROW]
[ROW][C]0.34[/C][C]0.932256384041671[/C][C]0.00571222883357032[/C][/ROW]
[ROW][C]0.35[/C][C]0.933290662473681[/C][C]0.00617676354950492[/C][/ROW]
[ROW][C]0.36[/C][C]0.93439612003074[/C][C]0.00665387851270216[/C][/ROW]
[ROW][C]0.37[/C][C]0.935573344445057[/C][C]0.00712512489671813[/C][/ROW]
[ROW][C]0.38[/C][C]0.93681970492986[/C][C]0.00756881954456887[/C][/ROW]
[ROW][C]0.39[/C][C]0.938129246391322[/C][C]0.00796477682032264[/C][/ROW]
[ROW][C]0.4[/C][C]0.93949280873603[/C][C]0.00829222585294674[/C][/ROW]
[ROW][C]0.41[/C][C]0.940898405716117[/C][C]0.00853311368863969[/C][/ROW]
[ROW][C]0.42[/C][C]0.942331867438877[/C][C]0.00867641555386509[/C][/ROW]
[ROW][C]0.43[/C][C]0.943777712209876[/C][C]0.00871571825265031[/C][/ROW]
[ROW][C]0.44[/C][C]0.945220174343095[/C][C]0.00865154803293444[/C][/ROW]
[ROW][C]0.45[/C][C]0.946644283433792[/C][C]0.00849023370282595[/C][/ROW]
[ROW][C]0.46[/C][C]0.948036874649975[/C][C]0.0082496870998715[/C][/ROW]
[ROW][C]0.47[/C][C]0.949387413161488[/C][C]0.0079484605569556[/C][/ROW]
[ROW][C]0.48[/C][C]0.950688539118688[/C][C]0.00760937277439888[/C][/ROW]
[ROW][C]0.49[/C][C]0.95193627867679[/C][C]0.00725597644020010[/C][/ROW]
[ROW][C]0.5[/C][C]0.95312991423015[/C][C]0.00690954526282173[/C][/ROW]
[ROW][C]0.51[/C][C]0.954271554421168[/C][C]0.00658951734573958[/C][/ROW]
[ROW][C]0.52[/C][C]0.955365483057198[/C][C]0.00630586278173825[/C][/ROW]
[ROW][C]0.53[/C][C]0.956417389312832[/C][C]0.00606584776389751[/C][/ROW]
[ROW][C]0.54[/C][C]0.95743358634159[/C][C]0.00586990749769514[/C][/ROW]
[ROW][C]0.55[/C][C]0.958420312294252[/C][C]0.00571252718542208[/C][/ROW]
[ROW][C]0.56[/C][C]0.95938318081573[/C][C]0.00558682354457608[/C][/ROW]
[ROW][C]0.57[/C][C]0.960326813847844[/C][C]0.00548311690126701[/C][/ROW]
[ROW][C]0.58[/C][C]0.961254655395368[/C][C]0.00539267199871485[/C][/ROW]
[ROW][C]0.59[/C][C]0.962168937525005[/C][C]0.00530848590796171[/C][/ROW]
[ROW][C]0.6[/C][C]0.963070753906924[/C][C]0.00522482968414398[/C][/ROW]
[ROW][C]0.61[/C][C]0.963960193391101[/C][C]0.00513586364517668[/C][/ROW]
[ROW][C]0.62[/C][C]0.964836495024095[/C][C]0.0050388303833175[/C][/ROW]
[ROW][C]0.63[/C][C]0.965698202521496[/C][C]0.00493123936088477[/C][/ROW]
[ROW][C]0.64[/C][C]0.966543314936886[/C][C]0.00481015060461498[/C][/ROW]
[ROW][C]0.65[/C][C]0.967369445389106[/C][C]0.00467344879184215[/C][/ROW]
[ROW][C]0.66[/C][C]0.968174006775808[/C][C]0.00452054136449796[/C][/ROW]
[ROW][C]0.67[/C][C]0.968954440328022[/C][C]0.0043511991783585[/C][/ROW]
[ROW][C]0.68[/C][C]0.969708490448906[/C][C]0.00416622378503251[/C][/ROW]
[ROW][C]0.69[/C][C]0.970434511035083[/C][C]0.00396926372818318[/C][/ROW]
[ROW][C]0.7[/C][C]0.971131769754478[/C][C]0.00376655485729334[/C][/ROW]
[ROW][C]0.71[/C][C]0.971800703415367[/C][C]0.00356505558152533[/C][/ROW]
[ROW][C]0.72[/C][C]0.972443074467644[/C][C]0.00337326012447799[/C][/ROW]
[ROW][C]0.73[/C][C]0.973061988343566[/C][C]0.00320042003436566[/C][/ROW]
[ROW][C]0.74[/C][C]0.973661753079557[/C][C]0.00305388838571453[/C][/ROW]
[ROW][C]0.75[/C][C]0.974247592389368[/C][C]0.0029400800940161[/C][/ROW]
[ROW][C]0.76[/C][C]0.974825254198715[/C][C]0.00285953236436131[/C][/ROW]
[ROW][C]0.77[/C][C]0.975400580187193[/C][C]0.00281197736836978[/C][/ROW]
[ROW][C]0.78[/C][C]0.975979110032275[/C][C]0.00279087842968468[/C][/ROW]
[ROW][C]0.79[/C][C]0.97656578134974[/C][C]0.00279078254172531[/C][/ROW]
[ROW][C]0.8[/C][C]0.977164752344964[/C][C]0.00280429793909272[/C][/ROW]
[ROW][C]0.81[/C][C]0.97777932552632[/C][C]0.00282581444287377[/C][/ROW]
[ROW][C]0.82[/C][C]0.97841190178365[/C][C]0.00285023246979151[/C][/ROW]
[ROW][C]0.83[/C][C]0.979063864948945[/C][C]0.00287426940654998[/C][/ROW]
[ROW][C]0.84[/C][C]0.979735308826446[/C][C]0.00289405071558728[/C][/ROW]
[ROW][C]0.85[/C][C]0.980424585730839[/C][C]0.00290304609481698[/C][/ROW]
[ROW][C]0.86[/C][C]0.981127775783866[/C][C]0.00289213115599627[/C][/ROW]
[ROW][C]0.87[/C][C]0.981838324809017[/C][C]0.00284902259927216[/C][/ROW]
[ROW][C]0.88[/C][C]0.98254722784208[/C][C]0.0027611713219444[/C][/ROW]
[ROW][C]0.89[/C][C]0.98324418295346[/C][C]0.00261930163876833[/C][/ROW]
[ROW][C]0.9[/C][C]0.983920047942123[/C][C]0.00242462161163958[/C][/ROW]
[ROW][C]0.91[/C][C]0.98457067177257[/C][C]0.00219222533870671[/C][/ROW]
[ROW][C]0.92[/C][C]0.985201769136427[/C][C]0.00195479598692216[/C][/ROW]
[ROW][C]0.93[/C][C]0.985834026007888[/C][C]0.00176367320237925[/C][/ROW]
[ROW][C]0.94[/C][C]0.986507015854818[/C][C]0.00168053296744549[/C][/ROW]
[ROW][C]0.95[/C][C]0.987279208341876[/C][C]0.00175347683151226[/C][/ROW]
[ROW][C]0.96[/C][C]0.988218056078256[/C][C]0.00198521987311266[/C][/ROW]
[ROW][C]0.97[/C][C]0.98936861788423[/C][C]0.00234090936543411[/C][/ROW]
[ROW][C]0.98[/C][C]0.990689151608915[/C][C]0.00277957191008646[/C][/ROW]
[ROW][C]0.99[/C][C]0.991971493626393[/C][C]0.00323803200708834[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19087&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19087&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9084085942183380.000695421578785297
0.020.9086586645840420.000524458920822747
0.030.9089165235285160.000456961226026705
0.040.909168296522140.000564389426873471
0.050.9094370167402910.000805472148152338
0.060.9097548883778470.00112557158868252
0.070.9101468430001070.00149433796747484
0.080.9106265259516520.00189271802079461
0.090.9111981127271350.00230308718106552
0.10.911859041943090.00270797739765059
0.110.9126019569294370.00308609859357484
0.120.9134159475140830.00342167069608598
0.130.9142875991526280.00370074592130895
0.140.9152021285011250.00391918987588466
0.150.9161445726369750.00407758354880803
0.160.9171008445316790.00417948151724445
0.170.9180584885404990.00423324076612584
0.180.9190070846050490.00424398947350979
0.190.919938366438370.00422057274587453
0.20.9208461813093430.00416885962818101
0.210.9217264161636270.0040957462089497
0.220.9225769668309550.00400996889222472
0.230.9233977651372010.00392247791729528
0.240.9241908292278320.00384490337537262
0.250.9249602791131410.00379047108558356
0.260.9257122630753030.00377163080473142
0.270.9264547626866870.00380143876693688
0.280.9271972726612630.00388914775563033
0.290.9279503757174270.00404095483262106
0.30.9287252455718950.00425730641441165
0.310.9295331120103180.00454002322584271
0.320.9303847141582980.00488096538542682
0.330.931289757608570.0052750313455801
0.340.9322563840416710.00571222883357032
0.350.9332906624736810.00617676354950492
0.360.934396120030740.00665387851270216
0.370.9355733444450570.00712512489671813
0.380.936819704929860.00756881954456887
0.390.9381292463913220.00796477682032264
0.40.939492808736030.00829222585294674
0.410.9408984057161170.00853311368863969
0.420.9423318674388770.00867641555386509
0.430.9437777122098760.00871571825265031
0.440.9452201743430950.00865154803293444
0.450.9466442834337920.00849023370282595
0.460.9480368746499750.0082496870998715
0.470.9493874131614880.0079484605569556
0.480.9506885391186880.00760937277439888
0.490.951936278676790.00725597644020010
0.50.953129914230150.00690954526282173
0.510.9542715544211680.00658951734573958
0.520.9553654830571980.00630586278173825
0.530.9564173893128320.00606584776389751
0.540.957433586341590.00586990749769514
0.550.9584203122942520.00571252718542208
0.560.959383180815730.00558682354457608
0.570.9603268138478440.00548311690126701
0.580.9612546553953680.00539267199871485
0.590.9621689375250050.00530848590796171
0.60.9630707539069240.00522482968414398
0.610.9639601933911010.00513586364517668
0.620.9648364950240950.0050388303833175
0.630.9656982025214960.00493123936088477
0.640.9665433149368860.00481015060461498
0.650.9673694453891060.00467344879184215
0.660.9681740067758080.00452054136449796
0.670.9689544403280220.0043511991783585
0.680.9697084904489060.00416622378503251
0.690.9704345110350830.00396926372818318
0.70.9711317697544780.00376655485729334
0.710.9718007034153670.00356505558152533
0.720.9724430744676440.00337326012447799
0.730.9730619883435660.00320042003436566
0.740.9736617530795570.00305388838571453
0.750.9742475923893680.0029400800940161
0.760.9748252541987150.00285953236436131
0.770.9754005801871930.00281197736836978
0.780.9759791100322750.00279087842968468
0.790.976565781349740.00279078254172531
0.80.9771647523449640.00280429793909272
0.810.977779325526320.00282581444287377
0.820.978411901783650.00285023246979151
0.830.9790638649489450.00287426940654998
0.840.9797353088264460.00289405071558728
0.850.9804245857308390.00290304609481698
0.860.9811277757838660.00289213115599627
0.870.9818383248090170.00284902259927216
0.880.982547227842080.0027611713219444
0.890.983244182953460.00261930163876833
0.90.9839200479421230.00242462161163958
0.910.984570671772570.00219222533870671
0.920.9852017691364270.00195479598692216
0.930.9858340260078880.00176367320237925
0.940.9865070158548180.00168053296744549
0.950.9872792083418760.00175347683151226
0.960.9882180560782560.00198521987311266
0.970.989368617884230.00234090936543411
0.980.9906891516089150.00277957191008646
0.990.9919714936263930.00323803200708834


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')