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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 computationTue, 12 Oct 2010 12:51:41 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t1286887897euoowm5bt4uqe6d.htm/, Retrieved Tue, 30 Apr 2024 17:26:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82904, Retrieved Tue, 30 Apr 2024 17:26:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords KDGP1W42
Estimated Impact118

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] [Aantal inschrijvi...] [2010-10-11 13:14:38] [8a02c60b4e489c76553df8621bda666b]
- R  D    [Harrell-Davis Quantiles] [Index aantal pers...] [2010-10-12 12:51:41] [5815de052410d7754c978b0de903e641] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.4
97.7
97
96.5
98.4
106.3
103.1
102.4
95
98.1
106.1
99.1
101.2
95.5
99.8
97.1
97.5
96.8
97.7
100.9
94.3
99.5
100.8
97
99.2
101
102.3
97
91.2
97.6
95.7
100.5
94.4
102.9
105.1
98.8
100.7
99.6
107.7
102.9
101.6
102.7
110.5
109.8
94.3
102.5
105
102.3
107.7
100.3
99.5
95
97.7
96.3
97.8
106.4
96.1
106.2
114.7
111.9
121
117.7
115.4
114.3
109.5
108.1
108.2
99.1
101.2
98.1
95.5
97.9
98.2
98.7
95.6
95.8
94.4
96.5
103.3
104.3
104.5
102.3
103.8
103.1
102.2
106.3
102.1
94
102.6
102.6
106.7
107.9
109.3
105.9
109.1
108.5
111.7
109.8
109.1
108.5
108.5
106.2
117.1
109.8
115.2
115.9
119.2
121
118.6
117.6
114.6
110.6
102.5
101.6
107.4
105.8
102.8
104
100.4
100.6

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82904&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82904&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82904&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.53612905980581.61121805313937
0.0293.72867011354170.612401279708069
0.0394.26279052032390.312547150939933
0.0494.52620426185790.360891688863645
0.0594.7521776006360.44491138814476
0.0694.98744616619440.483603930699981
0.0795.22137522415960.481704055429919
0.0895.44193322658660.46940464444836
0.0995.64764559692660.469243235996562
0.195.84360349795430.48420331052604
0.1196.03505304204530.50405705593015
0.1296.22405697765730.517794371028515
0.1396.40962697096280.521061931783339
0.1496.58950027066080.514944442839035
0.1596.76177324929460.503715871539986
0.1696.92561022527730.490799050729248
0.1797.08115654156790.478716196022406
0.1897.22916339719270.467920751767715
0.1997.37074098172720.45947755114552
0.297.50736101511320.455111712360767
0.2197.64097609500860.45805844340327
0.2297.77404015217180.470976501474042
0.2397.90929881631420.494687810085372
0.2498.04937744743880.527966930800467
0.2598.19631789793970.566874033852994
0.2698.35124010085280.607291064845082
0.2798.5142375052520.645041262474362
0.2898.68450859015660.677219411702986
0.2998.86063895523670.702727346076623
0.399.04091520446830.72101741435541
0.3199.22357572792090.732556802476178
0.3299.40696161293860.737789716899748
0.3399.58958965577610.737225332344204
0.3499.77020052050250.73152183182057
0.3599.94782734763210.721936866032666
0.36100.1218928734460.71005338171075
0.37100.2922998648630.698223674054563
0.38100.4594553499350.689060187219425
0.39100.624177723240.684596163560254
0.4100.7874744292760.684962632125355
0.41100.9502295194760.688958869335561
0.42101.1128826124410.693615202257011
0.43101.2751960517640.695213411523877
0.44101.4361890972190.690316067716014
0.45101.594273236110.675953969281134
0.46101.7475668453670.651891624837919
0.47101.8943191533030.619894407965286
0.48102.033347694260.583081308577382
0.49102.1643964084370.54669368922417
0.5102.2883489671250.516085018135907
0.51102.407271454760.497210150908891
0.52102.5242952455220.494736669823902
0.53102.6433734938740.511561340898821
0.54102.7689498450790.549326331238804
0.55102.9055709085590.606922134563912
0.56103.0574647869320.681559573556957
0.57103.228106018010.768835296334898
0.58103.4197968751660.862208675703383
0.59103.6333130769640.95455701882382
0.6103.8676796785151.03792679300508
0.61104.1201489531481.10487838767702
0.62104.3864367932151.14935638177614
0.63104.6612331702441.1682988372964
0.64104.9389390927031.16201439744207
0.65105.214510541121.13459280554854
0.66105.4842314013981.09330327162328
0.67105.7462191446181.04724496681663
0.68106.0005099166491.00532941456403
0.69106.248676184630.973994808653646
0.7106.49307462410.954696757618865
0.71106.7359536064240.945062706329735
0.72106.978710367130.93916763332639
0.73107.2215409815330.930532361456566
0.74107.4635806977380.91496022847409
0.75107.7034468671270.891464725887853
0.76107.9399571313660.86284915727776
0.77108.1727719547360.833443887361874
0.78108.4028189540090.8089131165496
0.79108.6325428396470.794071617577482
0.8108.8661824643150.793920671123894
0.81109.1102892269870.815262868432136
0.82109.3744972048820.867686750976704
0.83109.6721591884940.96349672007152
0.84110.0200335534041.11199465313794
0.85110.43604668661.31147469014297
0.86110.9346365809631.54149218285903
0.87111.5205176230541.76146398680595
0.88112.1835511247991.91911539300181
0.89112.8985465067751.97085836351564
0.9113.6325188612111.90533793227827
0.91114.3574432028391.75678423722899
0.92115.0611819152141.5901125370496
0.93115.7485945425421.45692805089192
0.94116.4332335323761.35743648982872
0.95117.1327130615671.26603657236693
0.96117.8809603975261.20369008124102
0.97118.7380541697091.23801036947342
0.98119.7179704680851.27940878069932
0.99120.6017731663650.850843456775003

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.5361290598058 & 1.61121805313937 \tabularnewline
0.02 & 93.7286701135417 & 0.612401279708069 \tabularnewline
0.03 & 94.2627905203239 & 0.312547150939933 \tabularnewline
0.04 & 94.5262042618579 & 0.360891688863645 \tabularnewline
0.05 & 94.752177600636 & 0.44491138814476 \tabularnewline
0.06 & 94.9874461661944 & 0.483603930699981 \tabularnewline
0.07 & 95.2213752241596 & 0.481704055429919 \tabularnewline
0.08 & 95.4419332265866 & 0.46940464444836 \tabularnewline
0.09 & 95.6476455969266 & 0.469243235996562 \tabularnewline
0.1 & 95.8436034979543 & 0.48420331052604 \tabularnewline
0.11 & 96.0350530420453 & 0.50405705593015 \tabularnewline
0.12 & 96.2240569776573 & 0.517794371028515 \tabularnewline
0.13 & 96.4096269709628 & 0.521061931783339 \tabularnewline
0.14 & 96.5895002706608 & 0.514944442839035 \tabularnewline
0.15 & 96.7617732492946 & 0.503715871539986 \tabularnewline
0.16 & 96.9256102252773 & 0.490799050729248 \tabularnewline
0.17 & 97.0811565415679 & 0.478716196022406 \tabularnewline
0.18 & 97.2291633971927 & 0.467920751767715 \tabularnewline
0.19 & 97.3707409817272 & 0.45947755114552 \tabularnewline
0.2 & 97.5073610151132 & 0.455111712360767 \tabularnewline
0.21 & 97.6409760950086 & 0.45805844340327 \tabularnewline
0.22 & 97.7740401521718 & 0.470976501474042 \tabularnewline
0.23 & 97.9092988163142 & 0.494687810085372 \tabularnewline
0.24 & 98.0493774474388 & 0.527966930800467 \tabularnewline
0.25 & 98.1963178979397 & 0.566874033852994 \tabularnewline
0.26 & 98.3512401008528 & 0.607291064845082 \tabularnewline
0.27 & 98.514237505252 & 0.645041262474362 \tabularnewline
0.28 & 98.6845085901566 & 0.677219411702986 \tabularnewline
0.29 & 98.8606389552367 & 0.702727346076623 \tabularnewline
0.3 & 99.0409152044683 & 0.72101741435541 \tabularnewline
0.31 & 99.2235757279209 & 0.732556802476178 \tabularnewline
0.32 & 99.4069616129386 & 0.737789716899748 \tabularnewline
0.33 & 99.5895896557761 & 0.737225332344204 \tabularnewline
0.34 & 99.7702005205025 & 0.73152183182057 \tabularnewline
0.35 & 99.9478273476321 & 0.721936866032666 \tabularnewline
0.36 & 100.121892873446 & 0.71005338171075 \tabularnewline
0.37 & 100.292299864863 & 0.698223674054563 \tabularnewline
0.38 & 100.459455349935 & 0.689060187219425 \tabularnewline
0.39 & 100.62417772324 & 0.684596163560254 \tabularnewline
0.4 & 100.787474429276 & 0.684962632125355 \tabularnewline
0.41 & 100.950229519476 & 0.688958869335561 \tabularnewline
0.42 & 101.112882612441 & 0.693615202257011 \tabularnewline
0.43 & 101.275196051764 & 0.695213411523877 \tabularnewline
0.44 & 101.436189097219 & 0.690316067716014 \tabularnewline
0.45 & 101.59427323611 & 0.675953969281134 \tabularnewline
0.46 & 101.747566845367 & 0.651891624837919 \tabularnewline
0.47 & 101.894319153303 & 0.619894407965286 \tabularnewline
0.48 & 102.03334769426 & 0.583081308577382 \tabularnewline
0.49 & 102.164396408437 & 0.54669368922417 \tabularnewline
0.5 & 102.288348967125 & 0.516085018135907 \tabularnewline
0.51 & 102.40727145476 & 0.497210150908891 \tabularnewline
0.52 & 102.524295245522 & 0.494736669823902 \tabularnewline
0.53 & 102.643373493874 & 0.511561340898821 \tabularnewline
0.54 & 102.768949845079 & 0.549326331238804 \tabularnewline
0.55 & 102.905570908559 & 0.606922134563912 \tabularnewline
0.56 & 103.057464786932 & 0.681559573556957 \tabularnewline
0.57 & 103.22810601801 & 0.768835296334898 \tabularnewline
0.58 & 103.419796875166 & 0.862208675703383 \tabularnewline
0.59 & 103.633313076964 & 0.95455701882382 \tabularnewline
0.6 & 103.867679678515 & 1.03792679300508 \tabularnewline
0.61 & 104.120148953148 & 1.10487838767702 \tabularnewline
0.62 & 104.386436793215 & 1.14935638177614 \tabularnewline
0.63 & 104.661233170244 & 1.1682988372964 \tabularnewline
0.64 & 104.938939092703 & 1.16201439744207 \tabularnewline
0.65 & 105.21451054112 & 1.13459280554854 \tabularnewline
0.66 & 105.484231401398 & 1.09330327162328 \tabularnewline
0.67 & 105.746219144618 & 1.04724496681663 \tabularnewline
0.68 & 106.000509916649 & 1.00532941456403 \tabularnewline
0.69 & 106.24867618463 & 0.973994808653646 \tabularnewline
0.7 & 106.4930746241 & 0.954696757618865 \tabularnewline
0.71 & 106.735953606424 & 0.945062706329735 \tabularnewline
0.72 & 106.97871036713 & 0.93916763332639 \tabularnewline
0.73 & 107.221540981533 & 0.930532361456566 \tabularnewline
0.74 & 107.463580697738 & 0.91496022847409 \tabularnewline
0.75 & 107.703446867127 & 0.891464725887853 \tabularnewline
0.76 & 107.939957131366 & 0.86284915727776 \tabularnewline
0.77 & 108.172771954736 & 0.833443887361874 \tabularnewline
0.78 & 108.402818954009 & 0.8089131165496 \tabularnewline
0.79 & 108.632542839647 & 0.794071617577482 \tabularnewline
0.8 & 108.866182464315 & 0.793920671123894 \tabularnewline
0.81 & 109.110289226987 & 0.815262868432136 \tabularnewline
0.82 & 109.374497204882 & 0.867686750976704 \tabularnewline
0.83 & 109.672159188494 & 0.96349672007152 \tabularnewline
0.84 & 110.020033553404 & 1.11199465313794 \tabularnewline
0.85 & 110.4360466866 & 1.31147469014297 \tabularnewline
0.86 & 110.934636580963 & 1.54149218285903 \tabularnewline
0.87 & 111.520517623054 & 1.76146398680595 \tabularnewline
0.88 & 112.183551124799 & 1.91911539300181 \tabularnewline
0.89 & 112.898546506775 & 1.97085836351564 \tabularnewline
0.9 & 113.632518861211 & 1.90533793227827 \tabularnewline
0.91 & 114.357443202839 & 1.75678423722899 \tabularnewline
0.92 & 115.061181915214 & 1.5901125370496 \tabularnewline
0.93 & 115.748594542542 & 1.45692805089192 \tabularnewline
0.94 & 116.433233532376 & 1.35743648982872 \tabularnewline
0.95 & 117.132713061567 & 1.26603657236693 \tabularnewline
0.96 & 117.880960397526 & 1.20369008124102 \tabularnewline
0.97 & 118.738054169709 & 1.23801036947342 \tabularnewline
0.98 & 119.717970468085 & 1.27940878069932 \tabularnewline
0.99 & 120.601773166365 & 0.850843456775003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82904&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]92.5361290598058[/C][C]1.61121805313937[/C][/ROW]
[ROW][C]0.02[/C][C]93.7286701135417[/C][C]0.612401279708069[/C][/ROW]
[ROW][C]0.03[/C][C]94.2627905203239[/C][C]0.312547150939933[/C][/ROW]
[ROW][C]0.04[/C][C]94.5262042618579[/C][C]0.360891688863645[/C][/ROW]
[ROW][C]0.05[/C][C]94.752177600636[/C][C]0.44491138814476[/C][/ROW]
[ROW][C]0.06[/C][C]94.9874461661944[/C][C]0.483603930699981[/C][/ROW]
[ROW][C]0.07[/C][C]95.2213752241596[/C][C]0.481704055429919[/C][/ROW]
[ROW][C]0.08[/C][C]95.4419332265866[/C][C]0.46940464444836[/C][/ROW]
[ROW][C]0.09[/C][C]95.6476455969266[/C][C]0.469243235996562[/C][/ROW]
[ROW][C]0.1[/C][C]95.8436034979543[/C][C]0.48420331052604[/C][/ROW]
[ROW][C]0.11[/C][C]96.0350530420453[/C][C]0.50405705593015[/C][/ROW]
[ROW][C]0.12[/C][C]96.2240569776573[/C][C]0.517794371028515[/C][/ROW]
[ROW][C]0.13[/C][C]96.4096269709628[/C][C]0.521061931783339[/C][/ROW]
[ROW][C]0.14[/C][C]96.5895002706608[/C][C]0.514944442839035[/C][/ROW]
[ROW][C]0.15[/C][C]96.7617732492946[/C][C]0.503715871539986[/C][/ROW]
[ROW][C]0.16[/C][C]96.9256102252773[/C][C]0.490799050729248[/C][/ROW]
[ROW][C]0.17[/C][C]97.0811565415679[/C][C]0.478716196022406[/C][/ROW]
[ROW][C]0.18[/C][C]97.2291633971927[/C][C]0.467920751767715[/C][/ROW]
[ROW][C]0.19[/C][C]97.3707409817272[/C][C]0.45947755114552[/C][/ROW]
[ROW][C]0.2[/C][C]97.5073610151132[/C][C]0.455111712360767[/C][/ROW]
[ROW][C]0.21[/C][C]97.6409760950086[/C][C]0.45805844340327[/C][/ROW]
[ROW][C]0.22[/C][C]97.7740401521718[/C][C]0.470976501474042[/C][/ROW]
[ROW][C]0.23[/C][C]97.9092988163142[/C][C]0.494687810085372[/C][/ROW]
[ROW][C]0.24[/C][C]98.0493774474388[/C][C]0.527966930800467[/C][/ROW]
[ROW][C]0.25[/C][C]98.1963178979397[/C][C]0.566874033852994[/C][/ROW]
[ROW][C]0.26[/C][C]98.3512401008528[/C][C]0.607291064845082[/C][/ROW]
[ROW][C]0.27[/C][C]98.514237505252[/C][C]0.645041262474362[/C][/ROW]
[ROW][C]0.28[/C][C]98.6845085901566[/C][C]0.677219411702986[/C][/ROW]
[ROW][C]0.29[/C][C]98.8606389552367[/C][C]0.702727346076623[/C][/ROW]
[ROW][C]0.3[/C][C]99.0409152044683[/C][C]0.72101741435541[/C][/ROW]
[ROW][C]0.31[/C][C]99.2235757279209[/C][C]0.732556802476178[/C][/ROW]
[ROW][C]0.32[/C][C]99.4069616129386[/C][C]0.737789716899748[/C][/ROW]
[ROW][C]0.33[/C][C]99.5895896557761[/C][C]0.737225332344204[/C][/ROW]
[ROW][C]0.34[/C][C]99.7702005205025[/C][C]0.73152183182057[/C][/ROW]
[ROW][C]0.35[/C][C]99.9478273476321[/C][C]0.721936866032666[/C][/ROW]
[ROW][C]0.36[/C][C]100.121892873446[/C][C]0.71005338171075[/C][/ROW]
[ROW][C]0.37[/C][C]100.292299864863[/C][C]0.698223674054563[/C][/ROW]
[ROW][C]0.38[/C][C]100.459455349935[/C][C]0.689060187219425[/C][/ROW]
[ROW][C]0.39[/C][C]100.62417772324[/C][C]0.684596163560254[/C][/ROW]
[ROW][C]0.4[/C][C]100.787474429276[/C][C]0.684962632125355[/C][/ROW]
[ROW][C]0.41[/C][C]100.950229519476[/C][C]0.688958869335561[/C][/ROW]
[ROW][C]0.42[/C][C]101.112882612441[/C][C]0.693615202257011[/C][/ROW]
[ROW][C]0.43[/C][C]101.275196051764[/C][C]0.695213411523877[/C][/ROW]
[ROW][C]0.44[/C][C]101.436189097219[/C][C]0.690316067716014[/C][/ROW]
[ROW][C]0.45[/C][C]101.59427323611[/C][C]0.675953969281134[/C][/ROW]
[ROW][C]0.46[/C][C]101.747566845367[/C][C]0.651891624837919[/C][/ROW]
[ROW][C]0.47[/C][C]101.894319153303[/C][C]0.619894407965286[/C][/ROW]
[ROW][C]0.48[/C][C]102.03334769426[/C][C]0.583081308577382[/C][/ROW]
[ROW][C]0.49[/C][C]102.164396408437[/C][C]0.54669368922417[/C][/ROW]
[ROW][C]0.5[/C][C]102.288348967125[/C][C]0.516085018135907[/C][/ROW]
[ROW][C]0.51[/C][C]102.40727145476[/C][C]0.497210150908891[/C][/ROW]
[ROW][C]0.52[/C][C]102.524295245522[/C][C]0.494736669823902[/C][/ROW]
[ROW][C]0.53[/C][C]102.643373493874[/C][C]0.511561340898821[/C][/ROW]
[ROW][C]0.54[/C][C]102.768949845079[/C][C]0.549326331238804[/C][/ROW]
[ROW][C]0.55[/C][C]102.905570908559[/C][C]0.606922134563912[/C][/ROW]
[ROW][C]0.56[/C][C]103.057464786932[/C][C]0.681559573556957[/C][/ROW]
[ROW][C]0.57[/C][C]103.22810601801[/C][C]0.768835296334898[/C][/ROW]
[ROW][C]0.58[/C][C]103.419796875166[/C][C]0.862208675703383[/C][/ROW]
[ROW][C]0.59[/C][C]103.633313076964[/C][C]0.95455701882382[/C][/ROW]
[ROW][C]0.6[/C][C]103.867679678515[/C][C]1.03792679300508[/C][/ROW]
[ROW][C]0.61[/C][C]104.120148953148[/C][C]1.10487838767702[/C][/ROW]
[ROW][C]0.62[/C][C]104.386436793215[/C][C]1.14935638177614[/C][/ROW]
[ROW][C]0.63[/C][C]104.661233170244[/C][C]1.1682988372964[/C][/ROW]
[ROW][C]0.64[/C][C]104.938939092703[/C][C]1.16201439744207[/C][/ROW]
[ROW][C]0.65[/C][C]105.21451054112[/C][C]1.13459280554854[/C][/ROW]
[ROW][C]0.66[/C][C]105.484231401398[/C][C]1.09330327162328[/C][/ROW]
[ROW][C]0.67[/C][C]105.746219144618[/C][C]1.04724496681663[/C][/ROW]
[ROW][C]0.68[/C][C]106.000509916649[/C][C]1.00532941456403[/C][/ROW]
[ROW][C]0.69[/C][C]106.24867618463[/C][C]0.973994808653646[/C][/ROW]
[ROW][C]0.7[/C][C]106.4930746241[/C][C]0.954696757618865[/C][/ROW]
[ROW][C]0.71[/C][C]106.735953606424[/C][C]0.945062706329735[/C][/ROW]
[ROW][C]0.72[/C][C]106.97871036713[/C][C]0.93916763332639[/C][/ROW]
[ROW][C]0.73[/C][C]107.221540981533[/C][C]0.930532361456566[/C][/ROW]
[ROW][C]0.74[/C][C]107.463580697738[/C][C]0.91496022847409[/C][/ROW]
[ROW][C]0.75[/C][C]107.703446867127[/C][C]0.891464725887853[/C][/ROW]
[ROW][C]0.76[/C][C]107.939957131366[/C][C]0.86284915727776[/C][/ROW]
[ROW][C]0.77[/C][C]108.172771954736[/C][C]0.833443887361874[/C][/ROW]
[ROW][C]0.78[/C][C]108.402818954009[/C][C]0.8089131165496[/C][/ROW]
[ROW][C]0.79[/C][C]108.632542839647[/C][C]0.794071617577482[/C][/ROW]
[ROW][C]0.8[/C][C]108.866182464315[/C][C]0.793920671123894[/C][/ROW]
[ROW][C]0.81[/C][C]109.110289226987[/C][C]0.815262868432136[/C][/ROW]
[ROW][C]0.82[/C][C]109.374497204882[/C][C]0.867686750976704[/C][/ROW]
[ROW][C]0.83[/C][C]109.672159188494[/C][C]0.96349672007152[/C][/ROW]
[ROW][C]0.84[/C][C]110.020033553404[/C][C]1.11199465313794[/C][/ROW]
[ROW][C]0.85[/C][C]110.4360466866[/C][C]1.31147469014297[/C][/ROW]
[ROW][C]0.86[/C][C]110.934636580963[/C][C]1.54149218285903[/C][/ROW]
[ROW][C]0.87[/C][C]111.520517623054[/C][C]1.76146398680595[/C][/ROW]
[ROW][C]0.88[/C][C]112.183551124799[/C][C]1.91911539300181[/C][/ROW]
[ROW][C]0.89[/C][C]112.898546506775[/C][C]1.97085836351564[/C][/ROW]
[ROW][C]0.9[/C][C]113.632518861211[/C][C]1.90533793227827[/C][/ROW]
[ROW][C]0.91[/C][C]114.357443202839[/C][C]1.75678423722899[/C][/ROW]
[ROW][C]0.92[/C][C]115.061181915214[/C][C]1.5901125370496[/C][/ROW]
[ROW][C]0.93[/C][C]115.748594542542[/C][C]1.45692805089192[/C][/ROW]
[ROW][C]0.94[/C][C]116.433233532376[/C][C]1.35743648982872[/C][/ROW]
[ROW][C]0.95[/C][C]117.132713061567[/C][C]1.26603657236693[/C][/ROW]
[ROW][C]0.96[/C][C]117.880960397526[/C][C]1.20369008124102[/C][/ROW]
[ROW][C]0.97[/C][C]118.738054169709[/C][C]1.23801036947342[/C][/ROW]
[ROW][C]0.98[/C][C]119.717970468085[/C][C]1.27940878069932[/C][/ROW]
[ROW][C]0.99[/C][C]120.601773166365[/C][C]0.850843456775003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82904&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82904&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
0.0192.53612905980581.61121805313937
0.0293.72867011354170.612401279708069
0.0394.26279052032390.312547150939933
0.0494.52620426185790.360891688863645
0.0594.7521776006360.44491138814476
0.0694.98744616619440.483603930699981
0.0795.22137522415960.481704055429919
0.0895.44193322658660.46940464444836
0.0995.64764559692660.469243235996562
0.195.84360349795430.48420331052604
0.1196.03505304204530.50405705593015
0.1296.22405697765730.517794371028515
0.1396.40962697096280.521061931783339
0.1496.58950027066080.514944442839035
0.1596.76177324929460.503715871539986
0.1696.92561022527730.490799050729248
0.1797.08115654156790.478716196022406
0.1897.22916339719270.467920751767715
0.1997.37074098172720.45947755114552
0.297.50736101511320.455111712360767
0.2197.64097609500860.45805844340327
0.2297.77404015217180.470976501474042
0.2397.90929881631420.494687810085372
0.2498.04937744743880.527966930800467
0.2598.19631789793970.566874033852994
0.2698.35124010085280.607291064845082
0.2798.5142375052520.645041262474362
0.2898.68450859015660.677219411702986
0.2998.86063895523670.702727346076623
0.399.04091520446830.72101741435541
0.3199.22357572792090.732556802476178
0.3299.40696161293860.737789716899748
0.3399.58958965577610.737225332344204
0.3499.77020052050250.73152183182057
0.3599.94782734763210.721936866032666
0.36100.1218928734460.71005338171075
0.37100.2922998648630.698223674054563
0.38100.4594553499350.689060187219425
0.39100.624177723240.684596163560254
0.4100.7874744292760.684962632125355
0.41100.9502295194760.688958869335561
0.42101.1128826124410.693615202257011
0.43101.2751960517640.695213411523877
0.44101.4361890972190.690316067716014
0.45101.594273236110.675953969281134
0.46101.7475668453670.651891624837919
0.47101.8943191533030.619894407965286
0.48102.033347694260.583081308577382
0.49102.1643964084370.54669368922417
0.5102.2883489671250.516085018135907
0.51102.407271454760.497210150908891
0.52102.5242952455220.494736669823902
0.53102.6433734938740.511561340898821
0.54102.7689498450790.549326331238804
0.55102.9055709085590.606922134563912
0.56103.0574647869320.681559573556957
0.57103.228106018010.768835296334898
0.58103.4197968751660.862208675703383
0.59103.6333130769640.95455701882382
0.6103.8676796785151.03792679300508
0.61104.1201489531481.10487838767702
0.62104.3864367932151.14935638177614
0.63104.6612331702441.1682988372964
0.64104.9389390927031.16201439744207
0.65105.214510541121.13459280554854
0.66105.4842314013981.09330327162328
0.67105.7462191446181.04724496681663
0.68106.0005099166491.00532941456403
0.69106.248676184630.973994808653646
0.7106.49307462410.954696757618865
0.71106.7359536064240.945062706329735
0.72106.978710367130.93916763332639
0.73107.2215409815330.930532361456566
0.74107.4635806977380.91496022847409
0.75107.7034468671270.891464725887853
0.76107.9399571313660.86284915727776
0.77108.1727719547360.833443887361874
0.78108.4028189540090.8089131165496
0.79108.6325428396470.794071617577482
0.8108.8661824643150.793920671123894
0.81109.1102892269870.815262868432136
0.82109.3744972048820.867686750976704
0.83109.6721591884940.96349672007152
0.84110.0200335534041.11199465313794
0.85110.43604668661.31147469014297
0.86110.9346365809631.54149218285903
0.87111.5205176230541.76146398680595
0.88112.1835511247991.91911539300181
0.89112.8985465067751.97085836351564
0.9113.6325188612111.90533793227827
0.91114.3574432028391.75678423722899
0.92115.0611819152141.5901125370496
0.93115.7485945425421.45692805089192
0.94116.4332335323761.35743648982872
0.95117.1327130615671.26603657236693
0.96117.8809603975261.20369008124102
0.97118.7380541697091.23801036947342
0.98119.7179704680851.27940878069932
0.99120.6017731663650.850843456775003


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')