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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 12 Oct 2011 16:01:46 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318449843ki03u0uitz8azcv.htm/, Retrieved Fri, 10 May 2024 13:40:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128559, Retrieved Fri, 10 May 2024 13:40:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen - ge...] [2011-10-12 20:01:46] [eccdfb3bbbcfd25c9874e722073b6b90] [Current]
- RMPD    [Univariate Data Series] [Tijdreeks inschri...] [2012-01-16 00:31:08] [b147cdf93265b77fdfdbc4cd139c21ff]
- RMPD    [Mean Plot] [Mean plot inschri...] [2012-01-16 00:35:33] [b147cdf93265b77fdfdbc4cd139c21ff]
- RMPD    [Mean Plot] [Tijdreeks prijs p...] [2012-01-16 00:58:35] [b147cdf93265b77fdfdbc4cd139c21ff]
- RMPD    [(Partial) Autocorrelation Function] [Autocorrelatie in...] [2012-01-16 01:12:29] [2d75874899b923ef91fc38bf162c1330]
- RMPD    [(Partial) Autocorrelation Function] [Gedifferentieerde...] [2012-01-16 01:16:56] [2d75874899b923ef91fc38bf162c1330]
- RMP     [(Partial) Autocorrelation Function] [] [2012-01-16 01:25:51] [2d75874899b923ef91fc38bf162c1330]
- RMP     [(Partial) Autocorrelation Function] [] [2012-01-16 01:30:05] [2d75874899b923ef91fc38bf162c1330]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.14
14.16
14.21
14.26
14.29
14.32
14.33
14.39
14.48
14.44
14.46
14.48
14.53
14.58
14.62
14.62
14.61
14.65
14.68
14.7
14.78
14.84
14.89
14.89
15.13
15.25
15.33
15.36
15.4
15.4
15.41
15.47
15.54
15.55
15.59
15.65
15.75
15.86
15.89
15.94
15.93
15.95
15.99
15.99
16.06
16.08
16.07
16.11
16.15
16.18
16.3
16.42
16.49
16.5
16.58
16.64
16.66
16.81
16.91
16.92
16.95
17.11
17.16
17.16
17.27
17.34
17.39
17.43
17.45
17.5
17.56
17.65
17.62
17.7
17.72
17.71
17.74
17.75
17.78
17.8
17.86
17.88
17.89
17.94

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128559&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128559&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128559&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.15330634397370.031248457313174
0.0214.17831189916060.0472878197288378
0.0314.20928355986390.0570794107651453
0.0414.24151665712830.0609290300338667
0.0514.27266932875740.0630195560334784
0.0614.30226367940950.0660439715614679
0.0714.33070455573220.0701639133833734
0.0814.35847357413170.0741808701353361
0.0914.38576884460320.0770318468124563
0.114.41252346749340.0785030926628045
0.1114.43858713052340.0791162675663921
0.1214.46388563198980.0796183027834312
0.1314.48848113344490.0805899541740038
0.1414.51255166986510.0821900343062358
0.1514.53634847019840.0845386005963825
0.1614.56017689893290.0878608224391447
0.1714.58441065479780.092704796679117
0.1814.60951911995580.0998236230284104
0.1914.63607877420140.109930564033815
0.214.66474903961230.123399437462033
0.2114.6962100104530.140094800895213
0.2214.7310740752210.159455972987312
0.2314.76979063397020.180443447927074
0.2414.81256335354440.201699405082982
0.2514.85929554979670.221725492079305
0.2614.90957393921690.238992281172325
0.2714.96269528449940.252205883066343
0.2815.01773436490340.260420989416033
0.2915.07364517249190.263285831346923
0.315.12938097224060.261011779844419
0.3115.18401437042720.25448199631635
0.3215.23683744504830.244984585977389
0.3315.28742518066970.23412602011428
0.3415.33565247688510.223490920712229
0.3515.38166416643420.214442770289947
0.3615.42580644501890.207829728759333
0.3715.46853472818490.203952458219402
0.3815.51031591305850.202533618983525
0.3915.55154214556950.202790262117873
0.415.59246923370450.203784319252723
0.4115.63318708954890.204442278192523
0.4215.67362339500520.203980712094272
0.4315.71357620301660.201776436848369
0.4415.75276717167770.197592160241825
0.4515.79090496697090.191586177827926
0.4615.82774811066970.184211903514912
0.4715.86315795843470.176197569320865
0.4815.89713510398950.16840675608552
0.4915.92983570506460.161775428059852
0.515.96156737982190.157146512478814
0.5115.99276691843190.155227794599439
0.5216.02396382531710.156391681026674
0.5316.05573465816820.160817813068644
0.5416.08865346121050.168273487892721
0.5516.12324354719950.178254746421731
0.5616.15993560049140.190073095961773
0.5716.19903650454080.202950689479227
0.5816.24071226148810.216024745228353
0.5916.2849867120050.228523154026725
0.616.33175552448790.239854340410236
0.6116.3808124492750.249521463229798
0.6216.4318827206110.257379244017976
0.6316.48465737874210.263413716236511
0.6416.53882259474140.267730249397815
0.6516.59407979226580.270483025096346
0.6616.65015497556970.271900237141965
0.6716.70679838218160.272052548941498
0.6816.76377757269390.271058743886548
0.6916.82086785932770.268941340860163
0.716.87784356541030.265608184655428
0.7116.93447245160220.2610956760011
0.7216.99051438527830.255379860546536
0.7317.04572446533060.248422740958922
0.7417.09986044495120.240347334613527
0.7517.15269408340080.231205002425355
0.7617.20402545615060.221171455406939
0.7717.25369790299230.210473642656905
0.7817.30160941866510.199419435855104
0.7917.34771483747280.188323739172699
0.817.39201352151870.177478326089282
0.8117.43452055755860.166989056086642
0.8217.47522569463240.156762540292036
0.8317.51405171580240.146531712362869
0.8417.55082946029980.135774094505327
0.8517.58530682086720.124159340869536
0.8617.61720172618290.111543441810073
0.8717.64629535735070.0981977427790381
0.8817.67254583936320.0848619462518807
0.8917.69619011883080.0725999894216751
0.917.71779674856780.0626262190282798
0.9117.73823473621530.0559349776348495
0.9217.75853127421640.0528886269715133
0.9317.77960948905060.0527173762679138
0.9417.80195180819290.0534457996682208
0.9517.82536151800520.0523877563346934
0.9617.84915878773810.0474579162695738
0.9717.8730320415270.0394018247635986
0.9817.89766885621680.0343353905904471
0.9917.92243876336670.0398320001880524

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.1533063439737 & 0.031248457313174 \tabularnewline
0.02 & 14.1783118991606 & 0.0472878197288378 \tabularnewline
0.03 & 14.2092835598639 & 0.0570794107651453 \tabularnewline
0.04 & 14.2415166571283 & 0.0609290300338667 \tabularnewline
0.05 & 14.2726693287574 & 0.0630195560334784 \tabularnewline
0.06 & 14.3022636794095 & 0.0660439715614679 \tabularnewline
0.07 & 14.3307045557322 & 0.0701639133833734 \tabularnewline
0.08 & 14.3584735741317 & 0.0741808701353361 \tabularnewline
0.09 & 14.3857688446032 & 0.0770318468124563 \tabularnewline
0.1 & 14.4125234674934 & 0.0785030926628045 \tabularnewline
0.11 & 14.4385871305234 & 0.0791162675663921 \tabularnewline
0.12 & 14.4638856319898 & 0.0796183027834312 \tabularnewline
0.13 & 14.4884811334449 & 0.0805899541740038 \tabularnewline
0.14 & 14.5125516698651 & 0.0821900343062358 \tabularnewline
0.15 & 14.5363484701984 & 0.0845386005963825 \tabularnewline
0.16 & 14.5601768989329 & 0.0878608224391447 \tabularnewline
0.17 & 14.5844106547978 & 0.092704796679117 \tabularnewline
0.18 & 14.6095191199558 & 0.0998236230284104 \tabularnewline
0.19 & 14.6360787742014 & 0.109930564033815 \tabularnewline
0.2 & 14.6647490396123 & 0.123399437462033 \tabularnewline
0.21 & 14.696210010453 & 0.140094800895213 \tabularnewline
0.22 & 14.731074075221 & 0.159455972987312 \tabularnewline
0.23 & 14.7697906339702 & 0.180443447927074 \tabularnewline
0.24 & 14.8125633535444 & 0.201699405082982 \tabularnewline
0.25 & 14.8592955497967 & 0.221725492079305 \tabularnewline
0.26 & 14.9095739392169 & 0.238992281172325 \tabularnewline
0.27 & 14.9626952844994 & 0.252205883066343 \tabularnewline
0.28 & 15.0177343649034 & 0.260420989416033 \tabularnewline
0.29 & 15.0736451724919 & 0.263285831346923 \tabularnewline
0.3 & 15.1293809722406 & 0.261011779844419 \tabularnewline
0.31 & 15.1840143704272 & 0.25448199631635 \tabularnewline
0.32 & 15.2368374450483 & 0.244984585977389 \tabularnewline
0.33 & 15.2874251806697 & 0.23412602011428 \tabularnewline
0.34 & 15.3356524768851 & 0.223490920712229 \tabularnewline
0.35 & 15.3816641664342 & 0.214442770289947 \tabularnewline
0.36 & 15.4258064450189 & 0.207829728759333 \tabularnewline
0.37 & 15.4685347281849 & 0.203952458219402 \tabularnewline
0.38 & 15.5103159130585 & 0.202533618983525 \tabularnewline
0.39 & 15.5515421455695 & 0.202790262117873 \tabularnewline
0.4 & 15.5924692337045 & 0.203784319252723 \tabularnewline
0.41 & 15.6331870895489 & 0.204442278192523 \tabularnewline
0.42 & 15.6736233950052 & 0.203980712094272 \tabularnewline
0.43 & 15.7135762030166 & 0.201776436848369 \tabularnewline
0.44 & 15.7527671716777 & 0.197592160241825 \tabularnewline
0.45 & 15.7909049669709 & 0.191586177827926 \tabularnewline
0.46 & 15.8277481106697 & 0.184211903514912 \tabularnewline
0.47 & 15.8631579584347 & 0.176197569320865 \tabularnewline
0.48 & 15.8971351039895 & 0.16840675608552 \tabularnewline
0.49 & 15.9298357050646 & 0.161775428059852 \tabularnewline
0.5 & 15.9615673798219 & 0.157146512478814 \tabularnewline
0.51 & 15.9927669184319 & 0.155227794599439 \tabularnewline
0.52 & 16.0239638253171 & 0.156391681026674 \tabularnewline
0.53 & 16.0557346581682 & 0.160817813068644 \tabularnewline
0.54 & 16.0886534612105 & 0.168273487892721 \tabularnewline
0.55 & 16.1232435471995 & 0.178254746421731 \tabularnewline
0.56 & 16.1599356004914 & 0.190073095961773 \tabularnewline
0.57 & 16.1990365045408 & 0.202950689479227 \tabularnewline
0.58 & 16.2407122614881 & 0.216024745228353 \tabularnewline
0.59 & 16.284986712005 & 0.228523154026725 \tabularnewline
0.6 & 16.3317555244879 & 0.239854340410236 \tabularnewline
0.61 & 16.380812449275 & 0.249521463229798 \tabularnewline
0.62 & 16.431882720611 & 0.257379244017976 \tabularnewline
0.63 & 16.4846573787421 & 0.263413716236511 \tabularnewline
0.64 & 16.5388225947414 & 0.267730249397815 \tabularnewline
0.65 & 16.5940797922658 & 0.270483025096346 \tabularnewline
0.66 & 16.6501549755697 & 0.271900237141965 \tabularnewline
0.67 & 16.7067983821816 & 0.272052548941498 \tabularnewline
0.68 & 16.7637775726939 & 0.271058743886548 \tabularnewline
0.69 & 16.8208678593277 & 0.268941340860163 \tabularnewline
0.7 & 16.8778435654103 & 0.265608184655428 \tabularnewline
0.71 & 16.9344724516022 & 0.2610956760011 \tabularnewline
0.72 & 16.9905143852783 & 0.255379860546536 \tabularnewline
0.73 & 17.0457244653306 & 0.248422740958922 \tabularnewline
0.74 & 17.0998604449512 & 0.240347334613527 \tabularnewline
0.75 & 17.1526940834008 & 0.231205002425355 \tabularnewline
0.76 & 17.2040254561506 & 0.221171455406939 \tabularnewline
0.77 & 17.2536979029923 & 0.210473642656905 \tabularnewline
0.78 & 17.3016094186651 & 0.199419435855104 \tabularnewline
0.79 & 17.3477148374728 & 0.188323739172699 \tabularnewline
0.8 & 17.3920135215187 & 0.177478326089282 \tabularnewline
0.81 & 17.4345205575586 & 0.166989056086642 \tabularnewline
0.82 & 17.4752256946324 & 0.156762540292036 \tabularnewline
0.83 & 17.5140517158024 & 0.146531712362869 \tabularnewline
0.84 & 17.5508294602998 & 0.135774094505327 \tabularnewline
0.85 & 17.5853068208672 & 0.124159340869536 \tabularnewline
0.86 & 17.6172017261829 & 0.111543441810073 \tabularnewline
0.87 & 17.6462953573507 & 0.0981977427790381 \tabularnewline
0.88 & 17.6725458393632 & 0.0848619462518807 \tabularnewline
0.89 & 17.6961901188308 & 0.0725999894216751 \tabularnewline
0.9 & 17.7177967485678 & 0.0626262190282798 \tabularnewline
0.91 & 17.7382347362153 & 0.0559349776348495 \tabularnewline
0.92 & 17.7585312742164 & 0.0528886269715133 \tabularnewline
0.93 & 17.7796094890506 & 0.0527173762679138 \tabularnewline
0.94 & 17.8019518081929 & 0.0534457996682208 \tabularnewline
0.95 & 17.8253615180052 & 0.0523877563346934 \tabularnewline
0.96 & 17.8491587877381 & 0.0474579162695738 \tabularnewline
0.97 & 17.873032041527 & 0.0394018247635986 \tabularnewline
0.98 & 17.8976688562168 & 0.0343353905904471 \tabularnewline
0.99 & 17.9224387633667 & 0.0398320001880524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128559&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]14.1533063439737[/C][C]0.031248457313174[/C][/ROW]
[ROW][C]0.02[/C][C]14.1783118991606[/C][C]0.0472878197288378[/C][/ROW]
[ROW][C]0.03[/C][C]14.2092835598639[/C][C]0.0570794107651453[/C][/ROW]
[ROW][C]0.04[/C][C]14.2415166571283[/C][C]0.0609290300338667[/C][/ROW]
[ROW][C]0.05[/C][C]14.2726693287574[/C][C]0.0630195560334784[/C][/ROW]
[ROW][C]0.06[/C][C]14.3022636794095[/C][C]0.0660439715614679[/C][/ROW]
[ROW][C]0.07[/C][C]14.3307045557322[/C][C]0.0701639133833734[/C][/ROW]
[ROW][C]0.08[/C][C]14.3584735741317[/C][C]0.0741808701353361[/C][/ROW]
[ROW][C]0.09[/C][C]14.3857688446032[/C][C]0.0770318468124563[/C][/ROW]
[ROW][C]0.1[/C][C]14.4125234674934[/C][C]0.0785030926628045[/C][/ROW]
[ROW][C]0.11[/C][C]14.4385871305234[/C][C]0.0791162675663921[/C][/ROW]
[ROW][C]0.12[/C][C]14.4638856319898[/C][C]0.0796183027834312[/C][/ROW]
[ROW][C]0.13[/C][C]14.4884811334449[/C][C]0.0805899541740038[/C][/ROW]
[ROW][C]0.14[/C][C]14.5125516698651[/C][C]0.0821900343062358[/C][/ROW]
[ROW][C]0.15[/C][C]14.5363484701984[/C][C]0.0845386005963825[/C][/ROW]
[ROW][C]0.16[/C][C]14.5601768989329[/C][C]0.0878608224391447[/C][/ROW]
[ROW][C]0.17[/C][C]14.5844106547978[/C][C]0.092704796679117[/C][/ROW]
[ROW][C]0.18[/C][C]14.6095191199558[/C][C]0.0998236230284104[/C][/ROW]
[ROW][C]0.19[/C][C]14.6360787742014[/C][C]0.109930564033815[/C][/ROW]
[ROW][C]0.2[/C][C]14.6647490396123[/C][C]0.123399437462033[/C][/ROW]
[ROW][C]0.21[/C][C]14.696210010453[/C][C]0.140094800895213[/C][/ROW]
[ROW][C]0.22[/C][C]14.731074075221[/C][C]0.159455972987312[/C][/ROW]
[ROW][C]0.23[/C][C]14.7697906339702[/C][C]0.180443447927074[/C][/ROW]
[ROW][C]0.24[/C][C]14.8125633535444[/C][C]0.201699405082982[/C][/ROW]
[ROW][C]0.25[/C][C]14.8592955497967[/C][C]0.221725492079305[/C][/ROW]
[ROW][C]0.26[/C][C]14.9095739392169[/C][C]0.238992281172325[/C][/ROW]
[ROW][C]0.27[/C][C]14.9626952844994[/C][C]0.252205883066343[/C][/ROW]
[ROW][C]0.28[/C][C]15.0177343649034[/C][C]0.260420989416033[/C][/ROW]
[ROW][C]0.29[/C][C]15.0736451724919[/C][C]0.263285831346923[/C][/ROW]
[ROW][C]0.3[/C][C]15.1293809722406[/C][C]0.261011779844419[/C][/ROW]
[ROW][C]0.31[/C][C]15.1840143704272[/C][C]0.25448199631635[/C][/ROW]
[ROW][C]0.32[/C][C]15.2368374450483[/C][C]0.244984585977389[/C][/ROW]
[ROW][C]0.33[/C][C]15.2874251806697[/C][C]0.23412602011428[/C][/ROW]
[ROW][C]0.34[/C][C]15.3356524768851[/C][C]0.223490920712229[/C][/ROW]
[ROW][C]0.35[/C][C]15.3816641664342[/C][C]0.214442770289947[/C][/ROW]
[ROW][C]0.36[/C][C]15.4258064450189[/C][C]0.207829728759333[/C][/ROW]
[ROW][C]0.37[/C][C]15.4685347281849[/C][C]0.203952458219402[/C][/ROW]
[ROW][C]0.38[/C][C]15.5103159130585[/C][C]0.202533618983525[/C][/ROW]
[ROW][C]0.39[/C][C]15.5515421455695[/C][C]0.202790262117873[/C][/ROW]
[ROW][C]0.4[/C][C]15.5924692337045[/C][C]0.203784319252723[/C][/ROW]
[ROW][C]0.41[/C][C]15.6331870895489[/C][C]0.204442278192523[/C][/ROW]
[ROW][C]0.42[/C][C]15.6736233950052[/C][C]0.203980712094272[/C][/ROW]
[ROW][C]0.43[/C][C]15.7135762030166[/C][C]0.201776436848369[/C][/ROW]
[ROW][C]0.44[/C][C]15.7527671716777[/C][C]0.197592160241825[/C][/ROW]
[ROW][C]0.45[/C][C]15.7909049669709[/C][C]0.191586177827926[/C][/ROW]
[ROW][C]0.46[/C][C]15.8277481106697[/C][C]0.184211903514912[/C][/ROW]
[ROW][C]0.47[/C][C]15.8631579584347[/C][C]0.176197569320865[/C][/ROW]
[ROW][C]0.48[/C][C]15.8971351039895[/C][C]0.16840675608552[/C][/ROW]
[ROW][C]0.49[/C][C]15.9298357050646[/C][C]0.161775428059852[/C][/ROW]
[ROW][C]0.5[/C][C]15.9615673798219[/C][C]0.157146512478814[/C][/ROW]
[ROW][C]0.51[/C][C]15.9927669184319[/C][C]0.155227794599439[/C][/ROW]
[ROW][C]0.52[/C][C]16.0239638253171[/C][C]0.156391681026674[/C][/ROW]
[ROW][C]0.53[/C][C]16.0557346581682[/C][C]0.160817813068644[/C][/ROW]
[ROW][C]0.54[/C][C]16.0886534612105[/C][C]0.168273487892721[/C][/ROW]
[ROW][C]0.55[/C][C]16.1232435471995[/C][C]0.178254746421731[/C][/ROW]
[ROW][C]0.56[/C][C]16.1599356004914[/C][C]0.190073095961773[/C][/ROW]
[ROW][C]0.57[/C][C]16.1990365045408[/C][C]0.202950689479227[/C][/ROW]
[ROW][C]0.58[/C][C]16.2407122614881[/C][C]0.216024745228353[/C][/ROW]
[ROW][C]0.59[/C][C]16.284986712005[/C][C]0.228523154026725[/C][/ROW]
[ROW][C]0.6[/C][C]16.3317555244879[/C][C]0.239854340410236[/C][/ROW]
[ROW][C]0.61[/C][C]16.380812449275[/C][C]0.249521463229798[/C][/ROW]
[ROW][C]0.62[/C][C]16.431882720611[/C][C]0.257379244017976[/C][/ROW]
[ROW][C]0.63[/C][C]16.4846573787421[/C][C]0.263413716236511[/C][/ROW]
[ROW][C]0.64[/C][C]16.5388225947414[/C][C]0.267730249397815[/C][/ROW]
[ROW][C]0.65[/C][C]16.5940797922658[/C][C]0.270483025096346[/C][/ROW]
[ROW][C]0.66[/C][C]16.6501549755697[/C][C]0.271900237141965[/C][/ROW]
[ROW][C]0.67[/C][C]16.7067983821816[/C][C]0.272052548941498[/C][/ROW]
[ROW][C]0.68[/C][C]16.7637775726939[/C][C]0.271058743886548[/C][/ROW]
[ROW][C]0.69[/C][C]16.8208678593277[/C][C]0.268941340860163[/C][/ROW]
[ROW][C]0.7[/C][C]16.8778435654103[/C][C]0.265608184655428[/C][/ROW]
[ROW][C]0.71[/C][C]16.9344724516022[/C][C]0.2610956760011[/C][/ROW]
[ROW][C]0.72[/C][C]16.9905143852783[/C][C]0.255379860546536[/C][/ROW]
[ROW][C]0.73[/C][C]17.0457244653306[/C][C]0.248422740958922[/C][/ROW]
[ROW][C]0.74[/C][C]17.0998604449512[/C][C]0.240347334613527[/C][/ROW]
[ROW][C]0.75[/C][C]17.1526940834008[/C][C]0.231205002425355[/C][/ROW]
[ROW][C]0.76[/C][C]17.2040254561506[/C][C]0.221171455406939[/C][/ROW]
[ROW][C]0.77[/C][C]17.2536979029923[/C][C]0.210473642656905[/C][/ROW]
[ROW][C]0.78[/C][C]17.3016094186651[/C][C]0.199419435855104[/C][/ROW]
[ROW][C]0.79[/C][C]17.3477148374728[/C][C]0.188323739172699[/C][/ROW]
[ROW][C]0.8[/C][C]17.3920135215187[/C][C]0.177478326089282[/C][/ROW]
[ROW][C]0.81[/C][C]17.4345205575586[/C][C]0.166989056086642[/C][/ROW]
[ROW][C]0.82[/C][C]17.4752256946324[/C][C]0.156762540292036[/C][/ROW]
[ROW][C]0.83[/C][C]17.5140517158024[/C][C]0.146531712362869[/C][/ROW]
[ROW][C]0.84[/C][C]17.5508294602998[/C][C]0.135774094505327[/C][/ROW]
[ROW][C]0.85[/C][C]17.5853068208672[/C][C]0.124159340869536[/C][/ROW]
[ROW][C]0.86[/C][C]17.6172017261829[/C][C]0.111543441810073[/C][/ROW]
[ROW][C]0.87[/C][C]17.6462953573507[/C][C]0.0981977427790381[/C][/ROW]
[ROW][C]0.88[/C][C]17.6725458393632[/C][C]0.0848619462518807[/C][/ROW]
[ROW][C]0.89[/C][C]17.6961901188308[/C][C]0.0725999894216751[/C][/ROW]
[ROW][C]0.9[/C][C]17.7177967485678[/C][C]0.0626262190282798[/C][/ROW]
[ROW][C]0.91[/C][C]17.7382347362153[/C][C]0.0559349776348495[/C][/ROW]
[ROW][C]0.92[/C][C]17.7585312742164[/C][C]0.0528886269715133[/C][/ROW]
[ROW][C]0.93[/C][C]17.7796094890506[/C][C]0.0527173762679138[/C][/ROW]
[ROW][C]0.94[/C][C]17.8019518081929[/C][C]0.0534457996682208[/C][/ROW]
[ROW][C]0.95[/C][C]17.8253615180052[/C][C]0.0523877563346934[/C][/ROW]
[ROW][C]0.96[/C][C]17.8491587877381[/C][C]0.0474579162695738[/C][/ROW]
[ROW][C]0.97[/C][C]17.873032041527[/C][C]0.0394018247635986[/C][/ROW]
[ROW][C]0.98[/C][C]17.8976688562168[/C][C]0.0343353905904471[/C][/ROW]
[ROW][C]0.99[/C][C]17.9224387633667[/C][C]0.0398320001880524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128559&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128559&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
0.0114.15330634397370.031248457313174
0.0214.17831189916060.0472878197288378
0.0314.20928355986390.0570794107651453
0.0414.24151665712830.0609290300338667
0.0514.27266932875740.0630195560334784
0.0614.30226367940950.0660439715614679
0.0714.33070455573220.0701639133833734
0.0814.35847357413170.0741808701353361
0.0914.38576884460320.0770318468124563
0.114.41252346749340.0785030926628045
0.1114.43858713052340.0791162675663921
0.1214.46388563198980.0796183027834312
0.1314.48848113344490.0805899541740038
0.1414.51255166986510.0821900343062358
0.1514.53634847019840.0845386005963825
0.1614.56017689893290.0878608224391447
0.1714.58441065479780.092704796679117
0.1814.60951911995580.0998236230284104
0.1914.63607877420140.109930564033815
0.214.66474903961230.123399437462033
0.2114.6962100104530.140094800895213
0.2214.7310740752210.159455972987312
0.2314.76979063397020.180443447927074
0.2414.81256335354440.201699405082982
0.2514.85929554979670.221725492079305
0.2614.90957393921690.238992281172325
0.2714.96269528449940.252205883066343
0.2815.01773436490340.260420989416033
0.2915.07364517249190.263285831346923
0.315.12938097224060.261011779844419
0.3115.18401437042720.25448199631635
0.3215.23683744504830.244984585977389
0.3315.28742518066970.23412602011428
0.3415.33565247688510.223490920712229
0.3515.38166416643420.214442770289947
0.3615.42580644501890.207829728759333
0.3715.46853472818490.203952458219402
0.3815.51031591305850.202533618983525
0.3915.55154214556950.202790262117873
0.415.59246923370450.203784319252723
0.4115.63318708954890.204442278192523
0.4215.67362339500520.203980712094272
0.4315.71357620301660.201776436848369
0.4415.75276717167770.197592160241825
0.4515.79090496697090.191586177827926
0.4615.82774811066970.184211903514912
0.4715.86315795843470.176197569320865
0.4815.89713510398950.16840675608552
0.4915.92983570506460.161775428059852
0.515.96156737982190.157146512478814
0.5115.99276691843190.155227794599439
0.5216.02396382531710.156391681026674
0.5316.05573465816820.160817813068644
0.5416.08865346121050.168273487892721
0.5516.12324354719950.178254746421731
0.5616.15993560049140.190073095961773
0.5716.19903650454080.202950689479227
0.5816.24071226148810.216024745228353
0.5916.2849867120050.228523154026725
0.616.33175552448790.239854340410236
0.6116.3808124492750.249521463229798
0.6216.4318827206110.257379244017976
0.6316.48465737874210.263413716236511
0.6416.53882259474140.267730249397815
0.6516.59407979226580.270483025096346
0.6616.65015497556970.271900237141965
0.6716.70679838218160.272052548941498
0.6816.76377757269390.271058743886548
0.6916.82086785932770.268941340860163
0.716.87784356541030.265608184655428
0.7116.93447245160220.2610956760011
0.7216.99051438527830.255379860546536
0.7317.04572446533060.248422740958922
0.7417.09986044495120.240347334613527
0.7517.15269408340080.231205002425355
0.7617.20402545615060.221171455406939
0.7717.25369790299230.210473642656905
0.7817.30160941866510.199419435855104
0.7917.34771483747280.188323739172699
0.817.39201352151870.177478326089282
0.8117.43452055755860.166989056086642
0.8217.47522569463240.156762540292036
0.8317.51405171580240.146531712362869
0.8417.55082946029980.135774094505327
0.8517.58530682086720.124159340869536
0.8617.61720172618290.111543441810073
0.8717.64629535735070.0981977427790381
0.8817.67254583936320.0848619462518807
0.8917.69619011883080.0725999894216751
0.917.71779674856780.0626262190282798
0.9117.73823473621530.0559349776348495
0.9217.75853127421640.0528886269715133
0.9317.77960948905060.0527173762679138
0.9417.80195180819290.0534457996682208
0.9517.82536151800520.0523877563346934
0.9617.84915878773810.0474579162695738
0.9717.8730320415270.0394018247635986
0.9817.89766885621680.0343353905904471
0.9917.92243876336670.0398320001880524


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')