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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 computationMon, 27 Oct 2008 14:46:01 -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/t1225140819r0x9eyixfp8sect.htm/, Retrieved Sun, 19 May 2024 13:00:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19608, Retrieved Sun, 19 May 2024 13:00:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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]
-   PD    [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-10-27 20:46:01] [ba85d9d0a82357dd3edf208eef933423] [Current]
-   PD      [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2008-12-22 02:50:12] [504b73e6de93b01331326637b3288ad4]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,522730109
0,521589508
0,495683636
0,493009324
0,499377624
0,502885563
0,510229065
0,49967574
0,503774667
0,512237207
0,527246669
0,498336252
0,520631102
0,523966555
0,513520756
0,498976863
0,51553335
0,513282554
0,517516609
0,516359908
0,519958131
0,518776078
0,531536026
0,498547639
0,524485042
0,519529501
0,515403662
0,48387851
0,50512689
0,50793722
0,510811329
0,515720991
0,522085003
0,521500954
0,527647532
0,496727726
0,526984168
0,516730049
0,515349737
0,499554599
0,50736522
0,511065552
0,510134943
0,515634887
0,519072689
0,504857743
0,52327868
0,490592539
0,51732225
0,517388623
0,511834806
0,497545691
0,505169783
0,503395207
0,508993591
0,513673523
0,510446575
0,503598194
0,5192589
0,490950476
0,514285944
0,514164774
0,50272693
0,486769217
0,491768068
0,499658015
0,495095425
0,501529123
0,509828348
0,510868808
0,517307455
0,488955298
0,511989184
0,508444701
0,506844272
0,496621119
0,50381907
0,506785664
0,51091191
0,507082122
0,503301926
0,511599368
0,505309036
0,499237157
0,507593302
0,502030607
0,493455491
0,477416071
0,477711138
0,488420523
0,481201667
0,483997994
0,481057267
0,490074261

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19608&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19608&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.4779779846872880.00131044298094652
0.020.4791540727427470.00216418582671395
0.030.480620286849480.00246121182728362
0.040.482110167948450.00262200061431492
0.050.4835356282891940.00279674756198954
0.060.4848893465580240.00290608911142127
0.070.4861641307528640.00289289590133397
0.080.487342133969860.00277341652586235
0.090.4884113207845810.00261055142538505
0.10.4893762277427170.00247234622755666
0.110.4902564582740130.00240195115224894
0.120.4910781306877770.0024016515349262
0.130.4918647376320860.00244726495515243
0.140.4926313384357230.00250102037248701
0.150.4933830547254720.00253325687425217
0.160.4941168770598460.00252422599780355
0.170.4948250867576830.0024679040336468
0.180.4954987915647320.00237032042207051
0.190.4961306601775490.00224280033841219
0.20.4967165383777960.00210094042262661
0.210.4972560399929260.00195951711678614
0.220.4977523821054680.00183421344661341
0.230.4982117315119440.00173502553245873
0.240.4986422498849470.00167045335334444
0.250.4990529594859020.00164392668053502
0.260.4994525423378120.00165216101453681
0.270.4998482212541320.00168543543409021
0.280.5002449054291560.00173030629679045
0.290.5006447711519190.00177369946271666
0.30.5010473716412810.00180263963362623
0.310.5014502468545760.00181145911125681
0.320.5018498773318580.00179767156923102
0.330.5022427420979710.00176564468789343
0.340.502626228375780.00172336063509981
0.350.5029992012206770.00167938738659606
0.360.5033621492541780.0016432277143615
0.370.5037169401764280.00162116197487158
0.380.5040663106058170.00161505906608529
0.390.5044132571159220.00162370098513171
0.40.504760485878360.00164337799720006
0.410.5051100296823650.00166963459634379
0.420.5054630744572480.00169688841768815
0.430.5058199744711710.00172205225867562
0.440.5061803923180160.00174260377399678
0.450.5065434843822520.00175687224638941
0.460.506908063815230.00176351857068798
0.470.5072727033863370.00176328466796826
0.480.5076357780066360.00175365989813772
0.490.5079954786015930.00173606871129653
0.50.5083498452601930.00170616556804796
0.510.5086968634670430.00166694438219078
0.520.5090346446527610.00161668614595309
0.530.5093616792028410.00155784564145514
0.540.5096771177564380.00149511043471769
0.550.5099810160202880.00143277079407629
0.560.5102744763467760.00137754815311914
0.570.5105596368135020.00133553053518197
0.580.510839490318460.00131168973591329
0.590.511117553164980.00130594911661438
0.60.5113974348675810.00131834317236522
0.610.5116823808040750.00134597347847432
0.620.5119748633231610.00138339615164870
0.630.5122762858908580.00142405034753290
0.640.5125868431105330.00146126198244603
0.650.512905552768930.0014896278237027
0.660.5132304497839010.00150485196505488
0.670.513558909651670.00150564450857246
0.680.5138880523823410.00149067586735495
0.690.5142151676282970.00146235207128862
0.70.5145380987148240.00142420775424024
0.710.5148555294411970.00138026798572006
0.720.5151671345378270.00133699562510912
0.730.5154735815525020.00129750968417033
0.740.5157764027791260.00126608970227445
0.750.5160777804060060.00124475838398536
0.760.5163802965674850.00123451970718477
0.770.5166866899909890.00123453742049022
0.780.5169996410934880.00124402342205438
0.790.5173215930297050.00126034367612570
0.80.5176546172742490.00128256645955974
0.810.5180003423444730.00130698518794133
0.820.5183599624842890.00133118863353223
0.830.5187343141670380.00135278784025804
0.840.5191239662130570.00137205345238428
0.850.5195292603346210.00138794641987780
0.860.5199503070912840.00139916732943330
0.870.5203870784058530.00140432638919029
0.880.5208398625559050.00140179305626067
0.890.5213103578975740.00139473192857031
0.90.5218035049272960.00139093424404717
0.910.5223296999447580.00140487773391307
0.920.522906082602330.00145504779924724
0.930.5235541549959580.00155184237174701
0.940.5242908022086570.00167628057686477
0.950.5251161692107740.00175524330914711
0.960.5260204893570820.00169545388609714
0.970.5270467374557260.00153464190063471
0.980.5283704808835610.00171602381871275
0.990.5300954395328470.00272525288005275

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.477977984687288 & 0.00131044298094652 \tabularnewline
0.02 & 0.479154072742747 & 0.00216418582671395 \tabularnewline
0.03 & 0.48062028684948 & 0.00246121182728362 \tabularnewline
0.04 & 0.48211016794845 & 0.00262200061431492 \tabularnewline
0.05 & 0.483535628289194 & 0.00279674756198954 \tabularnewline
0.06 & 0.484889346558024 & 0.00290608911142127 \tabularnewline
0.07 & 0.486164130752864 & 0.00289289590133397 \tabularnewline
0.08 & 0.48734213396986 & 0.00277341652586235 \tabularnewline
0.09 & 0.488411320784581 & 0.00261055142538505 \tabularnewline
0.1 & 0.489376227742717 & 0.00247234622755666 \tabularnewline
0.11 & 0.490256458274013 & 0.00240195115224894 \tabularnewline
0.12 & 0.491078130687777 & 0.0024016515349262 \tabularnewline
0.13 & 0.491864737632086 & 0.00244726495515243 \tabularnewline
0.14 & 0.492631338435723 & 0.00250102037248701 \tabularnewline
0.15 & 0.493383054725472 & 0.00253325687425217 \tabularnewline
0.16 & 0.494116877059846 & 0.00252422599780355 \tabularnewline
0.17 & 0.494825086757683 & 0.0024679040336468 \tabularnewline
0.18 & 0.495498791564732 & 0.00237032042207051 \tabularnewline
0.19 & 0.496130660177549 & 0.00224280033841219 \tabularnewline
0.2 & 0.496716538377796 & 0.00210094042262661 \tabularnewline
0.21 & 0.497256039992926 & 0.00195951711678614 \tabularnewline
0.22 & 0.497752382105468 & 0.00183421344661341 \tabularnewline
0.23 & 0.498211731511944 & 0.00173502553245873 \tabularnewline
0.24 & 0.498642249884947 & 0.00167045335334444 \tabularnewline
0.25 & 0.499052959485902 & 0.00164392668053502 \tabularnewline
0.26 & 0.499452542337812 & 0.00165216101453681 \tabularnewline
0.27 & 0.499848221254132 & 0.00168543543409021 \tabularnewline
0.28 & 0.500244905429156 & 0.00173030629679045 \tabularnewline
0.29 & 0.500644771151919 & 0.00177369946271666 \tabularnewline
0.3 & 0.501047371641281 & 0.00180263963362623 \tabularnewline
0.31 & 0.501450246854576 & 0.00181145911125681 \tabularnewline
0.32 & 0.501849877331858 & 0.00179767156923102 \tabularnewline
0.33 & 0.502242742097971 & 0.00176564468789343 \tabularnewline
0.34 & 0.50262622837578 & 0.00172336063509981 \tabularnewline
0.35 & 0.502999201220677 & 0.00167938738659606 \tabularnewline
0.36 & 0.503362149254178 & 0.0016432277143615 \tabularnewline
0.37 & 0.503716940176428 & 0.00162116197487158 \tabularnewline
0.38 & 0.504066310605817 & 0.00161505906608529 \tabularnewline
0.39 & 0.504413257115922 & 0.00162370098513171 \tabularnewline
0.4 & 0.50476048587836 & 0.00164337799720006 \tabularnewline
0.41 & 0.505110029682365 & 0.00166963459634379 \tabularnewline
0.42 & 0.505463074457248 & 0.00169688841768815 \tabularnewline
0.43 & 0.505819974471171 & 0.00172205225867562 \tabularnewline
0.44 & 0.506180392318016 & 0.00174260377399678 \tabularnewline
0.45 & 0.506543484382252 & 0.00175687224638941 \tabularnewline
0.46 & 0.50690806381523 & 0.00176351857068798 \tabularnewline
0.47 & 0.507272703386337 & 0.00176328466796826 \tabularnewline
0.48 & 0.507635778006636 & 0.00175365989813772 \tabularnewline
0.49 & 0.507995478601593 & 0.00173606871129653 \tabularnewline
0.5 & 0.508349845260193 & 0.00170616556804796 \tabularnewline
0.51 & 0.508696863467043 & 0.00166694438219078 \tabularnewline
0.52 & 0.509034644652761 & 0.00161668614595309 \tabularnewline
0.53 & 0.509361679202841 & 0.00155784564145514 \tabularnewline
0.54 & 0.509677117756438 & 0.00149511043471769 \tabularnewline
0.55 & 0.509981016020288 & 0.00143277079407629 \tabularnewline
0.56 & 0.510274476346776 & 0.00137754815311914 \tabularnewline
0.57 & 0.510559636813502 & 0.00133553053518197 \tabularnewline
0.58 & 0.51083949031846 & 0.00131168973591329 \tabularnewline
0.59 & 0.51111755316498 & 0.00130594911661438 \tabularnewline
0.6 & 0.511397434867581 & 0.00131834317236522 \tabularnewline
0.61 & 0.511682380804075 & 0.00134597347847432 \tabularnewline
0.62 & 0.511974863323161 & 0.00138339615164870 \tabularnewline
0.63 & 0.512276285890858 & 0.00142405034753290 \tabularnewline
0.64 & 0.512586843110533 & 0.00146126198244603 \tabularnewline
0.65 & 0.51290555276893 & 0.0014896278237027 \tabularnewline
0.66 & 0.513230449783901 & 0.00150485196505488 \tabularnewline
0.67 & 0.51355890965167 & 0.00150564450857246 \tabularnewline
0.68 & 0.513888052382341 & 0.00149067586735495 \tabularnewline
0.69 & 0.514215167628297 & 0.00146235207128862 \tabularnewline
0.7 & 0.514538098714824 & 0.00142420775424024 \tabularnewline
0.71 & 0.514855529441197 & 0.00138026798572006 \tabularnewline
0.72 & 0.515167134537827 & 0.00133699562510912 \tabularnewline
0.73 & 0.515473581552502 & 0.00129750968417033 \tabularnewline
0.74 & 0.515776402779126 & 0.00126608970227445 \tabularnewline
0.75 & 0.516077780406006 & 0.00124475838398536 \tabularnewline
0.76 & 0.516380296567485 & 0.00123451970718477 \tabularnewline
0.77 & 0.516686689990989 & 0.00123453742049022 \tabularnewline
0.78 & 0.516999641093488 & 0.00124402342205438 \tabularnewline
0.79 & 0.517321593029705 & 0.00126034367612570 \tabularnewline
0.8 & 0.517654617274249 & 0.00128256645955974 \tabularnewline
0.81 & 0.518000342344473 & 0.00130698518794133 \tabularnewline
0.82 & 0.518359962484289 & 0.00133118863353223 \tabularnewline
0.83 & 0.518734314167038 & 0.00135278784025804 \tabularnewline
0.84 & 0.519123966213057 & 0.00137205345238428 \tabularnewline
0.85 & 0.519529260334621 & 0.00138794641987780 \tabularnewline
0.86 & 0.519950307091284 & 0.00139916732943330 \tabularnewline
0.87 & 0.520387078405853 & 0.00140432638919029 \tabularnewline
0.88 & 0.520839862555905 & 0.00140179305626067 \tabularnewline
0.89 & 0.521310357897574 & 0.00139473192857031 \tabularnewline
0.9 & 0.521803504927296 & 0.00139093424404717 \tabularnewline
0.91 & 0.522329699944758 & 0.00140487773391307 \tabularnewline
0.92 & 0.52290608260233 & 0.00145504779924724 \tabularnewline
0.93 & 0.523554154995958 & 0.00155184237174701 \tabularnewline
0.94 & 0.524290802208657 & 0.00167628057686477 \tabularnewline
0.95 & 0.525116169210774 & 0.00175524330914711 \tabularnewline
0.96 & 0.526020489357082 & 0.00169545388609714 \tabularnewline
0.97 & 0.527046737455726 & 0.00153464190063471 \tabularnewline
0.98 & 0.528370480883561 & 0.00171602381871275 \tabularnewline
0.99 & 0.530095439532847 & 0.00272525288005275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19608&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]0.477977984687288[/C][C]0.00131044298094652[/C][/ROW]
[ROW][C]0.02[/C][C]0.479154072742747[/C][C]0.00216418582671395[/C][/ROW]
[ROW][C]0.03[/C][C]0.48062028684948[/C][C]0.00246121182728362[/C][/ROW]
[ROW][C]0.04[/C][C]0.48211016794845[/C][C]0.00262200061431492[/C][/ROW]
[ROW][C]0.05[/C][C]0.483535628289194[/C][C]0.00279674756198954[/C][/ROW]
[ROW][C]0.06[/C][C]0.484889346558024[/C][C]0.00290608911142127[/C][/ROW]
[ROW][C]0.07[/C][C]0.486164130752864[/C][C]0.00289289590133397[/C][/ROW]
[ROW][C]0.08[/C][C]0.48734213396986[/C][C]0.00277341652586235[/C][/ROW]
[ROW][C]0.09[/C][C]0.488411320784581[/C][C]0.00261055142538505[/C][/ROW]
[ROW][C]0.1[/C][C]0.489376227742717[/C][C]0.00247234622755666[/C][/ROW]
[ROW][C]0.11[/C][C]0.490256458274013[/C][C]0.00240195115224894[/C][/ROW]
[ROW][C]0.12[/C][C]0.491078130687777[/C][C]0.0024016515349262[/C][/ROW]
[ROW][C]0.13[/C][C]0.491864737632086[/C][C]0.00244726495515243[/C][/ROW]
[ROW][C]0.14[/C][C]0.492631338435723[/C][C]0.00250102037248701[/C][/ROW]
[ROW][C]0.15[/C][C]0.493383054725472[/C][C]0.00253325687425217[/C][/ROW]
[ROW][C]0.16[/C][C]0.494116877059846[/C][C]0.00252422599780355[/C][/ROW]
[ROW][C]0.17[/C][C]0.494825086757683[/C][C]0.0024679040336468[/C][/ROW]
[ROW][C]0.18[/C][C]0.495498791564732[/C][C]0.00237032042207051[/C][/ROW]
[ROW][C]0.19[/C][C]0.496130660177549[/C][C]0.00224280033841219[/C][/ROW]
[ROW][C]0.2[/C][C]0.496716538377796[/C][C]0.00210094042262661[/C][/ROW]
[ROW][C]0.21[/C][C]0.497256039992926[/C][C]0.00195951711678614[/C][/ROW]
[ROW][C]0.22[/C][C]0.497752382105468[/C][C]0.00183421344661341[/C][/ROW]
[ROW][C]0.23[/C][C]0.498211731511944[/C][C]0.00173502553245873[/C][/ROW]
[ROW][C]0.24[/C][C]0.498642249884947[/C][C]0.00167045335334444[/C][/ROW]
[ROW][C]0.25[/C][C]0.499052959485902[/C][C]0.00164392668053502[/C][/ROW]
[ROW][C]0.26[/C][C]0.499452542337812[/C][C]0.00165216101453681[/C][/ROW]
[ROW][C]0.27[/C][C]0.499848221254132[/C][C]0.00168543543409021[/C][/ROW]
[ROW][C]0.28[/C][C]0.500244905429156[/C][C]0.00173030629679045[/C][/ROW]
[ROW][C]0.29[/C][C]0.500644771151919[/C][C]0.00177369946271666[/C][/ROW]
[ROW][C]0.3[/C][C]0.501047371641281[/C][C]0.00180263963362623[/C][/ROW]
[ROW][C]0.31[/C][C]0.501450246854576[/C][C]0.00181145911125681[/C][/ROW]
[ROW][C]0.32[/C][C]0.501849877331858[/C][C]0.00179767156923102[/C][/ROW]
[ROW][C]0.33[/C][C]0.502242742097971[/C][C]0.00176564468789343[/C][/ROW]
[ROW][C]0.34[/C][C]0.50262622837578[/C][C]0.00172336063509981[/C][/ROW]
[ROW][C]0.35[/C][C]0.502999201220677[/C][C]0.00167938738659606[/C][/ROW]
[ROW][C]0.36[/C][C]0.503362149254178[/C][C]0.0016432277143615[/C][/ROW]
[ROW][C]0.37[/C][C]0.503716940176428[/C][C]0.00162116197487158[/C][/ROW]
[ROW][C]0.38[/C][C]0.504066310605817[/C][C]0.00161505906608529[/C][/ROW]
[ROW][C]0.39[/C][C]0.504413257115922[/C][C]0.00162370098513171[/C][/ROW]
[ROW][C]0.4[/C][C]0.50476048587836[/C][C]0.00164337799720006[/C][/ROW]
[ROW][C]0.41[/C][C]0.505110029682365[/C][C]0.00166963459634379[/C][/ROW]
[ROW][C]0.42[/C][C]0.505463074457248[/C][C]0.00169688841768815[/C][/ROW]
[ROW][C]0.43[/C][C]0.505819974471171[/C][C]0.00172205225867562[/C][/ROW]
[ROW][C]0.44[/C][C]0.506180392318016[/C][C]0.00174260377399678[/C][/ROW]
[ROW][C]0.45[/C][C]0.506543484382252[/C][C]0.00175687224638941[/C][/ROW]
[ROW][C]0.46[/C][C]0.50690806381523[/C][C]0.00176351857068798[/C][/ROW]
[ROW][C]0.47[/C][C]0.507272703386337[/C][C]0.00176328466796826[/C][/ROW]
[ROW][C]0.48[/C][C]0.507635778006636[/C][C]0.00175365989813772[/C][/ROW]
[ROW][C]0.49[/C][C]0.507995478601593[/C][C]0.00173606871129653[/C][/ROW]
[ROW][C]0.5[/C][C]0.508349845260193[/C][C]0.00170616556804796[/C][/ROW]
[ROW][C]0.51[/C][C]0.508696863467043[/C][C]0.00166694438219078[/C][/ROW]
[ROW][C]0.52[/C][C]0.509034644652761[/C][C]0.00161668614595309[/C][/ROW]
[ROW][C]0.53[/C][C]0.509361679202841[/C][C]0.00155784564145514[/C][/ROW]
[ROW][C]0.54[/C][C]0.509677117756438[/C][C]0.00149511043471769[/C][/ROW]
[ROW][C]0.55[/C][C]0.509981016020288[/C][C]0.00143277079407629[/C][/ROW]
[ROW][C]0.56[/C][C]0.510274476346776[/C][C]0.00137754815311914[/C][/ROW]
[ROW][C]0.57[/C][C]0.510559636813502[/C][C]0.00133553053518197[/C][/ROW]
[ROW][C]0.58[/C][C]0.51083949031846[/C][C]0.00131168973591329[/C][/ROW]
[ROW][C]0.59[/C][C]0.51111755316498[/C][C]0.00130594911661438[/C][/ROW]
[ROW][C]0.6[/C][C]0.511397434867581[/C][C]0.00131834317236522[/C][/ROW]
[ROW][C]0.61[/C][C]0.511682380804075[/C][C]0.00134597347847432[/C][/ROW]
[ROW][C]0.62[/C][C]0.511974863323161[/C][C]0.00138339615164870[/C][/ROW]
[ROW][C]0.63[/C][C]0.512276285890858[/C][C]0.00142405034753290[/C][/ROW]
[ROW][C]0.64[/C][C]0.512586843110533[/C][C]0.00146126198244603[/C][/ROW]
[ROW][C]0.65[/C][C]0.51290555276893[/C][C]0.0014896278237027[/C][/ROW]
[ROW][C]0.66[/C][C]0.513230449783901[/C][C]0.00150485196505488[/C][/ROW]
[ROW][C]0.67[/C][C]0.51355890965167[/C][C]0.00150564450857246[/C][/ROW]
[ROW][C]0.68[/C][C]0.513888052382341[/C][C]0.00149067586735495[/C][/ROW]
[ROW][C]0.69[/C][C]0.514215167628297[/C][C]0.00146235207128862[/C][/ROW]
[ROW][C]0.7[/C][C]0.514538098714824[/C][C]0.00142420775424024[/C][/ROW]
[ROW][C]0.71[/C][C]0.514855529441197[/C][C]0.00138026798572006[/C][/ROW]
[ROW][C]0.72[/C][C]0.515167134537827[/C][C]0.00133699562510912[/C][/ROW]
[ROW][C]0.73[/C][C]0.515473581552502[/C][C]0.00129750968417033[/C][/ROW]
[ROW][C]0.74[/C][C]0.515776402779126[/C][C]0.00126608970227445[/C][/ROW]
[ROW][C]0.75[/C][C]0.516077780406006[/C][C]0.00124475838398536[/C][/ROW]
[ROW][C]0.76[/C][C]0.516380296567485[/C][C]0.00123451970718477[/C][/ROW]
[ROW][C]0.77[/C][C]0.516686689990989[/C][C]0.00123453742049022[/C][/ROW]
[ROW][C]0.78[/C][C]0.516999641093488[/C][C]0.00124402342205438[/C][/ROW]
[ROW][C]0.79[/C][C]0.517321593029705[/C][C]0.00126034367612570[/C][/ROW]
[ROW][C]0.8[/C][C]0.517654617274249[/C][C]0.00128256645955974[/C][/ROW]
[ROW][C]0.81[/C][C]0.518000342344473[/C][C]0.00130698518794133[/C][/ROW]
[ROW][C]0.82[/C][C]0.518359962484289[/C][C]0.00133118863353223[/C][/ROW]
[ROW][C]0.83[/C][C]0.518734314167038[/C][C]0.00135278784025804[/C][/ROW]
[ROW][C]0.84[/C][C]0.519123966213057[/C][C]0.00137205345238428[/C][/ROW]
[ROW][C]0.85[/C][C]0.519529260334621[/C][C]0.00138794641987780[/C][/ROW]
[ROW][C]0.86[/C][C]0.519950307091284[/C][C]0.00139916732943330[/C][/ROW]
[ROW][C]0.87[/C][C]0.520387078405853[/C][C]0.00140432638919029[/C][/ROW]
[ROW][C]0.88[/C][C]0.520839862555905[/C][C]0.00140179305626067[/C][/ROW]
[ROW][C]0.89[/C][C]0.521310357897574[/C][C]0.00139473192857031[/C][/ROW]
[ROW][C]0.9[/C][C]0.521803504927296[/C][C]0.00139093424404717[/C][/ROW]
[ROW][C]0.91[/C][C]0.522329699944758[/C][C]0.00140487773391307[/C][/ROW]
[ROW][C]0.92[/C][C]0.52290608260233[/C][C]0.00145504779924724[/C][/ROW]
[ROW][C]0.93[/C][C]0.523554154995958[/C][C]0.00155184237174701[/C][/ROW]
[ROW][C]0.94[/C][C]0.524290802208657[/C][C]0.00167628057686477[/C][/ROW]
[ROW][C]0.95[/C][C]0.525116169210774[/C][C]0.00175524330914711[/C][/ROW]
[ROW][C]0.96[/C][C]0.526020489357082[/C][C]0.00169545388609714[/C][/ROW]
[ROW][C]0.97[/C][C]0.527046737455726[/C][C]0.00153464190063471[/C][/ROW]
[ROW][C]0.98[/C][C]0.528370480883561[/C][C]0.00171602381871275[/C][/ROW]
[ROW][C]0.99[/C][C]0.530095439532847[/C][C]0.00272525288005275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19608&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
0.010.4779779846872880.00131044298094652
0.020.4791540727427470.00216418582671395
0.030.480620286849480.00246121182728362
0.040.482110167948450.00262200061431492
0.050.4835356282891940.00279674756198954
0.060.4848893465580240.00290608911142127
0.070.4861641307528640.00289289590133397
0.080.487342133969860.00277341652586235
0.090.4884113207845810.00261055142538505
0.10.4893762277427170.00247234622755666
0.110.4902564582740130.00240195115224894
0.120.4910781306877770.0024016515349262
0.130.4918647376320860.00244726495515243
0.140.4926313384357230.00250102037248701
0.150.4933830547254720.00253325687425217
0.160.4941168770598460.00252422599780355
0.170.4948250867576830.0024679040336468
0.180.4954987915647320.00237032042207051
0.190.4961306601775490.00224280033841219
0.20.4967165383777960.00210094042262661
0.210.4972560399929260.00195951711678614
0.220.4977523821054680.00183421344661341
0.230.4982117315119440.00173502553245873
0.240.4986422498849470.00167045335334444
0.250.4990529594859020.00164392668053502
0.260.4994525423378120.00165216101453681
0.270.4998482212541320.00168543543409021
0.280.5002449054291560.00173030629679045
0.290.5006447711519190.00177369946271666
0.30.5010473716412810.00180263963362623
0.310.5014502468545760.00181145911125681
0.320.5018498773318580.00179767156923102
0.330.5022427420979710.00176564468789343
0.340.502626228375780.00172336063509981
0.350.5029992012206770.00167938738659606
0.360.5033621492541780.0016432277143615
0.370.5037169401764280.00162116197487158
0.380.5040663106058170.00161505906608529
0.390.5044132571159220.00162370098513171
0.40.504760485878360.00164337799720006
0.410.5051100296823650.00166963459634379
0.420.5054630744572480.00169688841768815
0.430.5058199744711710.00172205225867562
0.440.5061803923180160.00174260377399678
0.450.5065434843822520.00175687224638941
0.460.506908063815230.00176351857068798
0.470.5072727033863370.00176328466796826
0.480.5076357780066360.00175365989813772
0.490.5079954786015930.00173606871129653
0.50.5083498452601930.00170616556804796
0.510.5086968634670430.00166694438219078
0.520.5090346446527610.00161668614595309
0.530.5093616792028410.00155784564145514
0.540.5096771177564380.00149511043471769
0.550.5099810160202880.00143277079407629
0.560.5102744763467760.00137754815311914
0.570.5105596368135020.00133553053518197
0.580.510839490318460.00131168973591329
0.590.511117553164980.00130594911661438
0.60.5113974348675810.00131834317236522
0.610.5116823808040750.00134597347847432
0.620.5119748633231610.00138339615164870
0.630.5122762858908580.00142405034753290
0.640.5125868431105330.00146126198244603
0.650.512905552768930.0014896278237027
0.660.5132304497839010.00150485196505488
0.670.513558909651670.00150564450857246
0.680.5138880523823410.00149067586735495
0.690.5142151676282970.00146235207128862
0.70.5145380987148240.00142420775424024
0.710.5148555294411970.00138026798572006
0.720.5151671345378270.00133699562510912
0.730.5154735815525020.00129750968417033
0.740.5157764027791260.00126608970227445
0.750.5160777804060060.00124475838398536
0.760.5163802965674850.00123451970718477
0.770.5166866899909890.00123453742049022
0.780.5169996410934880.00124402342205438
0.790.5173215930297050.00126034367612570
0.80.5176546172742490.00128256645955974
0.810.5180003423444730.00130698518794133
0.820.5183599624842890.00133118863353223
0.830.5187343141670380.00135278784025804
0.840.5191239662130570.00137205345238428
0.850.5195292603346210.00138794641987780
0.860.5199503070912840.00139916732943330
0.870.5203870784058530.00140432638919029
0.880.5208398625559050.00140179305626067
0.890.5213103578975740.00139473192857031
0.90.5218035049272960.00139093424404717
0.910.5223296999447580.00140487773391307
0.920.522906082602330.00145504779924724
0.930.5235541549959580.00155184237174701
0.940.5242908022086570.00167628057686477
0.950.5251161692107740.00175524330914711
0.960.5260204893570820.00169545388609714
0.970.5270467374557260.00153464190063471
0.980.5283704808835610.00171602381871275
0.990.5300954395328470.00272525288005275


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')