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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 computationWed, 21 Oct 2009 10:43:27 -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/2009/Oct/21/t1256143441jhrxskoyyqbwvwg.htm/, Retrieved Thu, 02 May 2024 02:11:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49499, Retrieved Thu, 02 May 2024 02:11:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid vrouwen] [2009-10-12 19:50:51] [a94022e7c2399c0f4d62eea578db3411]
- RMPD  [Central Tendency] [WS3Deel2Nieuwereeks] [2009-10-21 16:15:03] [a94022e7c2399c0f4d62eea578db3411]
- RMP       [Harrell-Davis Quantiles] [WS3-Deel3Quant] [2009-10-21 16:43:27] [30970b478e356ce7f8c2e9fca280b230] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19
17.7
16.7
16.8
17.3
17.4
17.3
16.6
16.4
16.1
17.6
17.8
17.8
17.3
16.9
17.2
17.5
17.6
17.4
17.2
16.9
16.3
16.7
16.6
16.5
16.2
16
16.1
16.3
16.2
16
16.2
15.6
14.7
15.1
14.7
14.1
14.2
14.1
14.5
14.7
14.4
13.5
12.9
12.3
13
15.4
16
15.2
14
13.3
14
15.4
16.1
16.1
15.4
14.6
14.8
16.1
16.6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49499&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]4 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=49499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49499&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.43244301212610.504939017086804
0.0212.62370020817700.406868207725679
0.0312.82158762472190.349673211790248
0.0413.00218724641510.345277854010111
0.0513.16401501797690.367410662733539
0.0613.31263565447240.388862973761779
0.0713.45184614454960.39640178400064
0.0813.58209669531370.387308309674053
0.0913.70208300859980.364897305552626
0.113.81055371021840.335425280103881
0.1113.90728567982640.305684140369569
0.1213.99323780148540.281139370426870
0.1314.07021574472510.26477449963867
0.1414.14037094803710.256705875937441
0.1514.20575283705670.254963718079194
0.1614.26802353489690.25686771984063
0.1714.32835645190370.26011421737381
0.1814.38748282721820.263367120698155
0.1914.44582399933110.266277186511568
0.214.50364624612730.269293548920713
0.2114.56119022877900.273295374134982
0.2214.61874886062930.279219422684835
0.2314.67668833161390.287690257006444
0.2414.73542255303900.298839995645197
0.2514.79535971584400.312270127585316
0.2614.85684130722270.327156044672165
0.2714.92009041345170.342492210750536
0.2814.98517965541010.357212751882636
0.2915.05202190572810.370411173216674
0.315.12038088509520.381394639486938
0.3115.18989501349570.389667198046611
0.3215.26010687725060.394955882791202
0.3315.33049199138180.397038762504775
0.3415.40048328439300.395788125957738
0.3515.46949079398450.391108188994063
0.3615.53691844380910.382888485741733
0.3715.60218085418060.371113200631032
0.3815.66472279326970.355859036313719
0.3915.72404241803850.337396713838891
0.415.77971749161150.316183139327728
0.4115.83143197047820.292881343723905
0.4215.87899927033260.268344978239605
0.4315.92237841495430.243533751243482
0.4415.96168011614990.219433914125345
0.4515.99716134349050.197031030387828
0.4616.02920870451720.177157709617234
0.4716.05831254872130.160553122532364
0.4816.08503481478040.147653521993939
0.4916.10997410786770.138696062854071
0.516.13373134243270.133643560249289
0.5116.15687867128470.132184158428171
0.5216.17993357157630.133789196779279
0.5316.20333910238660.137842620186521
0.5416.22745066210480.143683294377168
0.5516.25252914258190.150610529955715
0.5616.27874019104600.158062350757932
0.5716.30615926254140.165457166938781
0.5816.33478214645250.172336259450562
0.5916.36454055461100.178337246809334
0.616.39532208301940.183238173005705
0.6116.42699339225870.186969477976671
0.6216.45942485881460.189616095411029
0.6316.49251436012110.191412356680785
0.6416.52620743168370.192744360288411
0.6516.56051092948450.194067962678644
0.6616.59549765456470.195877259688134
0.6716.63130018833330.198586027777793
0.6816.66809340593170.202484052298352
0.6916.70606666550860.207646680339207
0.716.74538833788410.213849243019046
0.7116.78616692405270.220627849301041
0.7216.82841425803690.227312120349105
0.7316.87201694731890.233063959637755
0.7416.91672201386100.237006106578234
0.7516.96214147781160.23835314364687
0.7617.00777831453270.236489798346789
0.7717.05307295897200.231153233260368
0.7817.0974657328110.222410289378055
0.7917.14046688640260.210773935966937
0.817.18172320493750.197128981736646
0.8117.2210691556540.182623425753560
0.8217.2585519721670.168535394745862
0.8317.29442409264820.156069118920728
0.8417.32910262916240.146137390442340
0.8517.36310302066520.139150973711687
0.8617.39696103187620.134909191315297
0.8717.43116175252650.13271826794397
0.8817.46609483243870.131619497103801
0.8917.50205371622290.130711303649971
0.917.53930300720380.129450538889681
0.9117.57827538334220.127753470190085
0.9217.62005962516260.126092994523716
0.9317.66750374329970.126091385248925
0.9417.72732618457570.133081599030659
0.9517.8130893225450.162801575041568
0.9617.94684956860850.245195784798924
0.9718.1534970890560.409821825977026
0.9818.43969948677850.662277316514773
0.9918.75941254969220.95582179014178

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.4324430121261 & 0.504939017086804 \tabularnewline
0.02 & 12.6237002081770 & 0.406868207725679 \tabularnewline
0.03 & 12.8215876247219 & 0.349673211790248 \tabularnewline
0.04 & 13.0021872464151 & 0.345277854010111 \tabularnewline
0.05 & 13.1640150179769 & 0.367410662733539 \tabularnewline
0.06 & 13.3126356544724 & 0.388862973761779 \tabularnewline
0.07 & 13.4518461445496 & 0.39640178400064 \tabularnewline
0.08 & 13.5820966953137 & 0.387308309674053 \tabularnewline
0.09 & 13.7020830085998 & 0.364897305552626 \tabularnewline
0.1 & 13.8105537102184 & 0.335425280103881 \tabularnewline
0.11 & 13.9072856798264 & 0.305684140369569 \tabularnewline
0.12 & 13.9932378014854 & 0.281139370426870 \tabularnewline
0.13 & 14.0702157447251 & 0.26477449963867 \tabularnewline
0.14 & 14.1403709480371 & 0.256705875937441 \tabularnewline
0.15 & 14.2057528370567 & 0.254963718079194 \tabularnewline
0.16 & 14.2680235348969 & 0.25686771984063 \tabularnewline
0.17 & 14.3283564519037 & 0.26011421737381 \tabularnewline
0.18 & 14.3874828272182 & 0.263367120698155 \tabularnewline
0.19 & 14.4458239993311 & 0.266277186511568 \tabularnewline
0.2 & 14.5036462461273 & 0.269293548920713 \tabularnewline
0.21 & 14.5611902287790 & 0.273295374134982 \tabularnewline
0.22 & 14.6187488606293 & 0.279219422684835 \tabularnewline
0.23 & 14.6766883316139 & 0.287690257006444 \tabularnewline
0.24 & 14.7354225530390 & 0.298839995645197 \tabularnewline
0.25 & 14.7953597158440 & 0.312270127585316 \tabularnewline
0.26 & 14.8568413072227 & 0.327156044672165 \tabularnewline
0.27 & 14.9200904134517 & 0.342492210750536 \tabularnewline
0.28 & 14.9851796554101 & 0.357212751882636 \tabularnewline
0.29 & 15.0520219057281 & 0.370411173216674 \tabularnewline
0.3 & 15.1203808850952 & 0.381394639486938 \tabularnewline
0.31 & 15.1898950134957 & 0.389667198046611 \tabularnewline
0.32 & 15.2601068772506 & 0.394955882791202 \tabularnewline
0.33 & 15.3304919913818 & 0.397038762504775 \tabularnewline
0.34 & 15.4004832843930 & 0.395788125957738 \tabularnewline
0.35 & 15.4694907939845 & 0.391108188994063 \tabularnewline
0.36 & 15.5369184438091 & 0.382888485741733 \tabularnewline
0.37 & 15.6021808541806 & 0.371113200631032 \tabularnewline
0.38 & 15.6647227932697 & 0.355859036313719 \tabularnewline
0.39 & 15.7240424180385 & 0.337396713838891 \tabularnewline
0.4 & 15.7797174916115 & 0.316183139327728 \tabularnewline
0.41 & 15.8314319704782 & 0.292881343723905 \tabularnewline
0.42 & 15.8789992703326 & 0.268344978239605 \tabularnewline
0.43 & 15.9223784149543 & 0.243533751243482 \tabularnewline
0.44 & 15.9616801161499 & 0.219433914125345 \tabularnewline
0.45 & 15.9971613434905 & 0.197031030387828 \tabularnewline
0.46 & 16.0292087045172 & 0.177157709617234 \tabularnewline
0.47 & 16.0583125487213 & 0.160553122532364 \tabularnewline
0.48 & 16.0850348147804 & 0.147653521993939 \tabularnewline
0.49 & 16.1099741078677 & 0.138696062854071 \tabularnewline
0.5 & 16.1337313424327 & 0.133643560249289 \tabularnewline
0.51 & 16.1568786712847 & 0.132184158428171 \tabularnewline
0.52 & 16.1799335715763 & 0.133789196779279 \tabularnewline
0.53 & 16.2033391023866 & 0.137842620186521 \tabularnewline
0.54 & 16.2274506621048 & 0.143683294377168 \tabularnewline
0.55 & 16.2525291425819 & 0.150610529955715 \tabularnewline
0.56 & 16.2787401910460 & 0.158062350757932 \tabularnewline
0.57 & 16.3061592625414 & 0.165457166938781 \tabularnewline
0.58 & 16.3347821464525 & 0.172336259450562 \tabularnewline
0.59 & 16.3645405546110 & 0.178337246809334 \tabularnewline
0.6 & 16.3953220830194 & 0.183238173005705 \tabularnewline
0.61 & 16.4269933922587 & 0.186969477976671 \tabularnewline
0.62 & 16.4594248588146 & 0.189616095411029 \tabularnewline
0.63 & 16.4925143601211 & 0.191412356680785 \tabularnewline
0.64 & 16.5262074316837 & 0.192744360288411 \tabularnewline
0.65 & 16.5605109294845 & 0.194067962678644 \tabularnewline
0.66 & 16.5954976545647 & 0.195877259688134 \tabularnewline
0.67 & 16.6313001883333 & 0.198586027777793 \tabularnewline
0.68 & 16.6680934059317 & 0.202484052298352 \tabularnewline
0.69 & 16.7060666655086 & 0.207646680339207 \tabularnewline
0.7 & 16.7453883378841 & 0.213849243019046 \tabularnewline
0.71 & 16.7861669240527 & 0.220627849301041 \tabularnewline
0.72 & 16.8284142580369 & 0.227312120349105 \tabularnewline
0.73 & 16.8720169473189 & 0.233063959637755 \tabularnewline
0.74 & 16.9167220138610 & 0.237006106578234 \tabularnewline
0.75 & 16.9621414778116 & 0.23835314364687 \tabularnewline
0.76 & 17.0077783145327 & 0.236489798346789 \tabularnewline
0.77 & 17.0530729589720 & 0.231153233260368 \tabularnewline
0.78 & 17.097465732811 & 0.222410289378055 \tabularnewline
0.79 & 17.1404668864026 & 0.210773935966937 \tabularnewline
0.8 & 17.1817232049375 & 0.197128981736646 \tabularnewline
0.81 & 17.221069155654 & 0.182623425753560 \tabularnewline
0.82 & 17.258551972167 & 0.168535394745862 \tabularnewline
0.83 & 17.2944240926482 & 0.156069118920728 \tabularnewline
0.84 & 17.3291026291624 & 0.146137390442340 \tabularnewline
0.85 & 17.3631030206652 & 0.139150973711687 \tabularnewline
0.86 & 17.3969610318762 & 0.134909191315297 \tabularnewline
0.87 & 17.4311617525265 & 0.13271826794397 \tabularnewline
0.88 & 17.4660948324387 & 0.131619497103801 \tabularnewline
0.89 & 17.5020537162229 & 0.130711303649971 \tabularnewline
0.9 & 17.5393030072038 & 0.129450538889681 \tabularnewline
0.91 & 17.5782753833422 & 0.127753470190085 \tabularnewline
0.92 & 17.6200596251626 & 0.126092994523716 \tabularnewline
0.93 & 17.6675037432997 & 0.126091385248925 \tabularnewline
0.94 & 17.7273261845757 & 0.133081599030659 \tabularnewline
0.95 & 17.813089322545 & 0.162801575041568 \tabularnewline
0.96 & 17.9468495686085 & 0.245195784798924 \tabularnewline
0.97 & 18.153497089056 & 0.409821825977026 \tabularnewline
0.98 & 18.4396994867785 & 0.662277316514773 \tabularnewline
0.99 & 18.7594125496922 & 0.95582179014178 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49499&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]12.4324430121261[/C][C]0.504939017086804[/C][/ROW]
[ROW][C]0.02[/C][C]12.6237002081770[/C][C]0.406868207725679[/C][/ROW]
[ROW][C]0.03[/C][C]12.8215876247219[/C][C]0.349673211790248[/C][/ROW]
[ROW][C]0.04[/C][C]13.0021872464151[/C][C]0.345277854010111[/C][/ROW]
[ROW][C]0.05[/C][C]13.1640150179769[/C][C]0.367410662733539[/C][/ROW]
[ROW][C]0.06[/C][C]13.3126356544724[/C][C]0.388862973761779[/C][/ROW]
[ROW][C]0.07[/C][C]13.4518461445496[/C][C]0.39640178400064[/C][/ROW]
[ROW][C]0.08[/C][C]13.5820966953137[/C][C]0.387308309674053[/C][/ROW]
[ROW][C]0.09[/C][C]13.7020830085998[/C][C]0.364897305552626[/C][/ROW]
[ROW][C]0.1[/C][C]13.8105537102184[/C][C]0.335425280103881[/C][/ROW]
[ROW][C]0.11[/C][C]13.9072856798264[/C][C]0.305684140369569[/C][/ROW]
[ROW][C]0.12[/C][C]13.9932378014854[/C][C]0.281139370426870[/C][/ROW]
[ROW][C]0.13[/C][C]14.0702157447251[/C][C]0.26477449963867[/C][/ROW]
[ROW][C]0.14[/C][C]14.1403709480371[/C][C]0.256705875937441[/C][/ROW]
[ROW][C]0.15[/C][C]14.2057528370567[/C][C]0.254963718079194[/C][/ROW]
[ROW][C]0.16[/C][C]14.2680235348969[/C][C]0.25686771984063[/C][/ROW]
[ROW][C]0.17[/C][C]14.3283564519037[/C][C]0.26011421737381[/C][/ROW]
[ROW][C]0.18[/C][C]14.3874828272182[/C][C]0.263367120698155[/C][/ROW]
[ROW][C]0.19[/C][C]14.4458239993311[/C][C]0.266277186511568[/C][/ROW]
[ROW][C]0.2[/C][C]14.5036462461273[/C][C]0.269293548920713[/C][/ROW]
[ROW][C]0.21[/C][C]14.5611902287790[/C][C]0.273295374134982[/C][/ROW]
[ROW][C]0.22[/C][C]14.6187488606293[/C][C]0.279219422684835[/C][/ROW]
[ROW][C]0.23[/C][C]14.6766883316139[/C][C]0.287690257006444[/C][/ROW]
[ROW][C]0.24[/C][C]14.7354225530390[/C][C]0.298839995645197[/C][/ROW]
[ROW][C]0.25[/C][C]14.7953597158440[/C][C]0.312270127585316[/C][/ROW]
[ROW][C]0.26[/C][C]14.8568413072227[/C][C]0.327156044672165[/C][/ROW]
[ROW][C]0.27[/C][C]14.9200904134517[/C][C]0.342492210750536[/C][/ROW]
[ROW][C]0.28[/C][C]14.9851796554101[/C][C]0.357212751882636[/C][/ROW]
[ROW][C]0.29[/C][C]15.0520219057281[/C][C]0.370411173216674[/C][/ROW]
[ROW][C]0.3[/C][C]15.1203808850952[/C][C]0.381394639486938[/C][/ROW]
[ROW][C]0.31[/C][C]15.1898950134957[/C][C]0.389667198046611[/C][/ROW]
[ROW][C]0.32[/C][C]15.2601068772506[/C][C]0.394955882791202[/C][/ROW]
[ROW][C]0.33[/C][C]15.3304919913818[/C][C]0.397038762504775[/C][/ROW]
[ROW][C]0.34[/C][C]15.4004832843930[/C][C]0.395788125957738[/C][/ROW]
[ROW][C]0.35[/C][C]15.4694907939845[/C][C]0.391108188994063[/C][/ROW]
[ROW][C]0.36[/C][C]15.5369184438091[/C][C]0.382888485741733[/C][/ROW]
[ROW][C]0.37[/C][C]15.6021808541806[/C][C]0.371113200631032[/C][/ROW]
[ROW][C]0.38[/C][C]15.6647227932697[/C][C]0.355859036313719[/C][/ROW]
[ROW][C]0.39[/C][C]15.7240424180385[/C][C]0.337396713838891[/C][/ROW]
[ROW][C]0.4[/C][C]15.7797174916115[/C][C]0.316183139327728[/C][/ROW]
[ROW][C]0.41[/C][C]15.8314319704782[/C][C]0.292881343723905[/C][/ROW]
[ROW][C]0.42[/C][C]15.8789992703326[/C][C]0.268344978239605[/C][/ROW]
[ROW][C]0.43[/C][C]15.9223784149543[/C][C]0.243533751243482[/C][/ROW]
[ROW][C]0.44[/C][C]15.9616801161499[/C][C]0.219433914125345[/C][/ROW]
[ROW][C]0.45[/C][C]15.9971613434905[/C][C]0.197031030387828[/C][/ROW]
[ROW][C]0.46[/C][C]16.0292087045172[/C][C]0.177157709617234[/C][/ROW]
[ROW][C]0.47[/C][C]16.0583125487213[/C][C]0.160553122532364[/C][/ROW]
[ROW][C]0.48[/C][C]16.0850348147804[/C][C]0.147653521993939[/C][/ROW]
[ROW][C]0.49[/C][C]16.1099741078677[/C][C]0.138696062854071[/C][/ROW]
[ROW][C]0.5[/C][C]16.1337313424327[/C][C]0.133643560249289[/C][/ROW]
[ROW][C]0.51[/C][C]16.1568786712847[/C][C]0.132184158428171[/C][/ROW]
[ROW][C]0.52[/C][C]16.1799335715763[/C][C]0.133789196779279[/C][/ROW]
[ROW][C]0.53[/C][C]16.2033391023866[/C][C]0.137842620186521[/C][/ROW]
[ROW][C]0.54[/C][C]16.2274506621048[/C][C]0.143683294377168[/C][/ROW]
[ROW][C]0.55[/C][C]16.2525291425819[/C][C]0.150610529955715[/C][/ROW]
[ROW][C]0.56[/C][C]16.2787401910460[/C][C]0.158062350757932[/C][/ROW]
[ROW][C]0.57[/C][C]16.3061592625414[/C][C]0.165457166938781[/C][/ROW]
[ROW][C]0.58[/C][C]16.3347821464525[/C][C]0.172336259450562[/C][/ROW]
[ROW][C]0.59[/C][C]16.3645405546110[/C][C]0.178337246809334[/C][/ROW]
[ROW][C]0.6[/C][C]16.3953220830194[/C][C]0.183238173005705[/C][/ROW]
[ROW][C]0.61[/C][C]16.4269933922587[/C][C]0.186969477976671[/C][/ROW]
[ROW][C]0.62[/C][C]16.4594248588146[/C][C]0.189616095411029[/C][/ROW]
[ROW][C]0.63[/C][C]16.4925143601211[/C][C]0.191412356680785[/C][/ROW]
[ROW][C]0.64[/C][C]16.5262074316837[/C][C]0.192744360288411[/C][/ROW]
[ROW][C]0.65[/C][C]16.5605109294845[/C][C]0.194067962678644[/C][/ROW]
[ROW][C]0.66[/C][C]16.5954976545647[/C][C]0.195877259688134[/C][/ROW]
[ROW][C]0.67[/C][C]16.6313001883333[/C][C]0.198586027777793[/C][/ROW]
[ROW][C]0.68[/C][C]16.6680934059317[/C][C]0.202484052298352[/C][/ROW]
[ROW][C]0.69[/C][C]16.7060666655086[/C][C]0.207646680339207[/C][/ROW]
[ROW][C]0.7[/C][C]16.7453883378841[/C][C]0.213849243019046[/C][/ROW]
[ROW][C]0.71[/C][C]16.7861669240527[/C][C]0.220627849301041[/C][/ROW]
[ROW][C]0.72[/C][C]16.8284142580369[/C][C]0.227312120349105[/C][/ROW]
[ROW][C]0.73[/C][C]16.8720169473189[/C][C]0.233063959637755[/C][/ROW]
[ROW][C]0.74[/C][C]16.9167220138610[/C][C]0.237006106578234[/C][/ROW]
[ROW][C]0.75[/C][C]16.9621414778116[/C][C]0.23835314364687[/C][/ROW]
[ROW][C]0.76[/C][C]17.0077783145327[/C][C]0.236489798346789[/C][/ROW]
[ROW][C]0.77[/C][C]17.0530729589720[/C][C]0.231153233260368[/C][/ROW]
[ROW][C]0.78[/C][C]17.097465732811[/C][C]0.222410289378055[/C][/ROW]
[ROW][C]0.79[/C][C]17.1404668864026[/C][C]0.210773935966937[/C][/ROW]
[ROW][C]0.8[/C][C]17.1817232049375[/C][C]0.197128981736646[/C][/ROW]
[ROW][C]0.81[/C][C]17.221069155654[/C][C]0.182623425753560[/C][/ROW]
[ROW][C]0.82[/C][C]17.258551972167[/C][C]0.168535394745862[/C][/ROW]
[ROW][C]0.83[/C][C]17.2944240926482[/C][C]0.156069118920728[/C][/ROW]
[ROW][C]0.84[/C][C]17.3291026291624[/C][C]0.146137390442340[/C][/ROW]
[ROW][C]0.85[/C][C]17.3631030206652[/C][C]0.139150973711687[/C][/ROW]
[ROW][C]0.86[/C][C]17.3969610318762[/C][C]0.134909191315297[/C][/ROW]
[ROW][C]0.87[/C][C]17.4311617525265[/C][C]0.13271826794397[/C][/ROW]
[ROW][C]0.88[/C][C]17.4660948324387[/C][C]0.131619497103801[/C][/ROW]
[ROW][C]0.89[/C][C]17.5020537162229[/C][C]0.130711303649971[/C][/ROW]
[ROW][C]0.9[/C][C]17.5393030072038[/C][C]0.129450538889681[/C][/ROW]
[ROW][C]0.91[/C][C]17.5782753833422[/C][C]0.127753470190085[/C][/ROW]
[ROW][C]0.92[/C][C]17.6200596251626[/C][C]0.126092994523716[/C][/ROW]
[ROW][C]0.93[/C][C]17.6675037432997[/C][C]0.126091385248925[/C][/ROW]
[ROW][C]0.94[/C][C]17.7273261845757[/C][C]0.133081599030659[/C][/ROW]
[ROW][C]0.95[/C][C]17.813089322545[/C][C]0.162801575041568[/C][/ROW]
[ROW][C]0.96[/C][C]17.9468495686085[/C][C]0.245195784798924[/C][/ROW]
[ROW][C]0.97[/C][C]18.153497089056[/C][C]0.409821825977026[/C][/ROW]
[ROW][C]0.98[/C][C]18.4396994867785[/C][C]0.662277316514773[/C][/ROW]
[ROW][C]0.99[/C][C]18.7594125496922[/C][C]0.95582179014178[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49499&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
0.0112.43244301212610.504939017086804
0.0212.62370020817700.406868207725679
0.0312.82158762472190.349673211790248
0.0413.00218724641510.345277854010111
0.0513.16401501797690.367410662733539
0.0613.31263565447240.388862973761779
0.0713.45184614454960.39640178400064
0.0813.58209669531370.387308309674053
0.0913.70208300859980.364897305552626
0.113.81055371021840.335425280103881
0.1113.90728567982640.305684140369569
0.1213.99323780148540.281139370426870
0.1314.07021574472510.26477449963867
0.1414.14037094803710.256705875937441
0.1514.20575283705670.254963718079194
0.1614.26802353489690.25686771984063
0.1714.32835645190370.26011421737381
0.1814.38748282721820.263367120698155
0.1914.44582399933110.266277186511568
0.214.50364624612730.269293548920713
0.2114.56119022877900.273295374134982
0.2214.61874886062930.279219422684835
0.2314.67668833161390.287690257006444
0.2414.73542255303900.298839995645197
0.2514.79535971584400.312270127585316
0.2614.85684130722270.327156044672165
0.2714.92009041345170.342492210750536
0.2814.98517965541010.357212751882636
0.2915.05202190572810.370411173216674
0.315.12038088509520.381394639486938
0.3115.18989501349570.389667198046611
0.3215.26010687725060.394955882791202
0.3315.33049199138180.397038762504775
0.3415.40048328439300.395788125957738
0.3515.46949079398450.391108188994063
0.3615.53691844380910.382888485741733
0.3715.60218085418060.371113200631032
0.3815.66472279326970.355859036313719
0.3915.72404241803850.337396713838891
0.415.77971749161150.316183139327728
0.4115.83143197047820.292881343723905
0.4215.87899927033260.268344978239605
0.4315.92237841495430.243533751243482
0.4415.96168011614990.219433914125345
0.4515.99716134349050.197031030387828
0.4616.02920870451720.177157709617234
0.4716.05831254872130.160553122532364
0.4816.08503481478040.147653521993939
0.4916.10997410786770.138696062854071
0.516.13373134243270.133643560249289
0.5116.15687867128470.132184158428171
0.5216.17993357157630.133789196779279
0.5316.20333910238660.137842620186521
0.5416.22745066210480.143683294377168
0.5516.25252914258190.150610529955715
0.5616.27874019104600.158062350757932
0.5716.30615926254140.165457166938781
0.5816.33478214645250.172336259450562
0.5916.36454055461100.178337246809334
0.616.39532208301940.183238173005705
0.6116.42699339225870.186969477976671
0.6216.45942485881460.189616095411029
0.6316.49251436012110.191412356680785
0.6416.52620743168370.192744360288411
0.6516.56051092948450.194067962678644
0.6616.59549765456470.195877259688134
0.6716.63130018833330.198586027777793
0.6816.66809340593170.202484052298352
0.6916.70606666550860.207646680339207
0.716.74538833788410.213849243019046
0.7116.78616692405270.220627849301041
0.7216.82841425803690.227312120349105
0.7316.87201694731890.233063959637755
0.7416.91672201386100.237006106578234
0.7516.96214147781160.23835314364687
0.7617.00777831453270.236489798346789
0.7717.05307295897200.231153233260368
0.7817.0974657328110.222410289378055
0.7917.14046688640260.210773935966937
0.817.18172320493750.197128981736646
0.8117.2210691556540.182623425753560
0.8217.2585519721670.168535394745862
0.8317.29442409264820.156069118920728
0.8417.32910262916240.146137390442340
0.8517.36310302066520.139150973711687
0.8617.39696103187620.134909191315297
0.8717.43116175252650.13271826794397
0.8817.46609483243870.131619497103801
0.8917.50205371622290.130711303649971
0.917.53930300720380.129450538889681
0.9117.57827538334220.127753470190085
0.9217.62005962516260.126092994523716
0.9317.66750374329970.126091385248925
0.9417.72732618457570.133081599030659
0.9517.8130893225450.162801575041568
0.9617.94684956860850.245195784798924
0.9718.1534970890560.409821825977026
0.9818.43969948677850.662277316514773
0.9918.75941254969220.95582179014178


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')