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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 16:02:38 -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/t13184498453lxll17fgf04fn1.htm/, Retrieved Fri, 10 May 2024 15:42:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128560, Retrieved Fri, 10 May 2024 15:42:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact112

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] [Harell Davis - We...] [2011-10-12 20:02:38] [05aa4144f69b92f9bd7d460fd0e9a776] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.43
102.43
102.43
102.43
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
104.2
108.1
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
109.2
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
112.1
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
114.81
115.57
115.57
115.57
115.57
115.57
115.57
115.57
115.57

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=128560&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=128560&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128560&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
0.01102.4400896457920.040272671674719
0.02102.4744666811660.142391096241744
0.03102.5493266111520.303426441361939
0.04102.6748325386760.48851680085697
0.05102.8495849653050.647587068144125
0.06103.0601364488430.739591657687277
0.07103.285387153330.748362355110998
0.08103.5032019902010.683886739183661
0.09103.6961550506760.57257680840726
0.1103.8545435775950.444717072651305
0.11103.9765059824060.325169717610414
0.12104.0662302006220.230002174882694
0.13104.1315354854810.169209095230965
0.14104.1817833407280.151865566745184
0.15104.2265308856630.182243671148435
0.16104.2748919756140.254217742163816
0.17104.3353398448340.362797279049413
0.18104.4156499550580.506283986665549
0.19104.522764496490.682086283283499
0.2104.6624838864450.884625380560406
0.21104.8390049154051.1045002460206
0.22105.0544047548581.32889819402037
0.23105.3082066371941.54242271118088
0.24105.5971580751521.72913886389317
0.25105.9153135514181.87433574543034
0.26106.2544528598561.96678750216405
0.27106.6047989361451.99985732252844
0.28106.9559406277111.97275039498638
0.29107.2978289284571.89026068287421
0.3107.6217063413211.76209365987057
0.31107.9208476635871.60144630632063
0.32108.1910296859791.42341951209984
0.33108.4306962761411.24332720028489
0.34108.6408327340271.07544591474405
0.35108.824600214880.932291020079399
0.36108.9868026689830.824005310994482
0.37109.1332649000090.757482703235816
0.38109.2701942394850.734789252102926
0.39109.4035849544210.752284867124682
0.4109.5387087495820.801087404779966
0.41109.6797200952190.870292029319839
0.42109.829393162560.948790346613028
0.43109.9889977207651.02649663994987
0.44110.1583132945351.09443007687761
0.45110.3357729642721.1453335038405
0.46110.5187197963491.17383869298323
0.47110.7037503494361.17683550094201
0.48110.8871121692131.15373977147707
0.49111.0651171838771.10630910120045
0.5111.2345317533831.0385167172625
0.51111.3929073940970.956194017593167
0.52111.5388235255710.866263349190582
0.53111.6720237247140.776421381469164
0.54111.7934381818880.694556142798389
0.55111.905095604570.628471446092968
0.56112.0099364670630.585168163077931
0.57112.1115457833320.569927973102196
0.58112.2138277582880.584654665009183
0.59112.3206474852940.627075580424112
0.6112.4354670441110.69144412402776
0.61112.5610052113860.770282435301992
0.62112.6989511152780.855306531465566
0.63112.8497614713510.937989566012638
0.64113.0125671500061.01009093418477
0.65113.1852066533381.06420482818075
0.66113.3643914283831.0944582902115
0.67113.5459919343781.09691400539051
0.68113.7254164664121.07023710004196
0.69113.8980402551591.01561623846737
0.7114.0596337044880.936742053203773
0.71114.2067382518320.839266024512298
0.72114.3369469212160.730178682773152
0.73114.4490626908140.616781176846865
0.74114.5431278566630.506186764959991
0.75114.620337030440.404446086818443
0.76114.6828607183460.316373905646666
0.77114.7336124195310.24536721338159
0.78114.775989087850.194122780986528
0.79114.8136046970260.16467550080461
0.8114.8500241123260.157737780341034
0.81114.8884953862960.170456669309488
0.82114.9316782527250.196712766052515
0.83114.9813774525740.229894965692422
0.84115.0383093229650.263757024634306
0.85115.1019511960020.292204387719542
0.86115.170534148220.309818709136071
0.87115.2412292911790.312459715331968
0.88115.3105407975470.298185790779341
0.89115.3748609266810.267940799350904
0.9115.4310815031710.225447694489502
0.91115.4771181338190.176435847186466
0.92115.5122101403450.127394900305466
0.93115.5369171606910.0840069264406803
0.94115.5528260094580.0499021462494437
0.95115.5620729980360.0261961366538996
0.96115.5668384367060.0118131627648384
0.97115.568959300050.00440254463917248
0.98115.5697407075760.00121518200447747
0.99115.5699609975120.000219131181135282

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.440089645792 & 0.040272671674719 \tabularnewline
0.02 & 102.474466681166 & 0.142391096241744 \tabularnewline
0.03 & 102.549326611152 & 0.303426441361939 \tabularnewline
0.04 & 102.674832538676 & 0.48851680085697 \tabularnewline
0.05 & 102.849584965305 & 0.647587068144125 \tabularnewline
0.06 & 103.060136448843 & 0.739591657687277 \tabularnewline
0.07 & 103.28538715333 & 0.748362355110998 \tabularnewline
0.08 & 103.503201990201 & 0.683886739183661 \tabularnewline
0.09 & 103.696155050676 & 0.57257680840726 \tabularnewline
0.1 & 103.854543577595 & 0.444717072651305 \tabularnewline
0.11 & 103.976505982406 & 0.325169717610414 \tabularnewline
0.12 & 104.066230200622 & 0.230002174882694 \tabularnewline
0.13 & 104.131535485481 & 0.169209095230965 \tabularnewline
0.14 & 104.181783340728 & 0.151865566745184 \tabularnewline
0.15 & 104.226530885663 & 0.182243671148435 \tabularnewline
0.16 & 104.274891975614 & 0.254217742163816 \tabularnewline
0.17 & 104.335339844834 & 0.362797279049413 \tabularnewline
0.18 & 104.415649955058 & 0.506283986665549 \tabularnewline
0.19 & 104.52276449649 & 0.682086283283499 \tabularnewline
0.2 & 104.662483886445 & 0.884625380560406 \tabularnewline
0.21 & 104.839004915405 & 1.1045002460206 \tabularnewline
0.22 & 105.054404754858 & 1.32889819402037 \tabularnewline
0.23 & 105.308206637194 & 1.54242271118088 \tabularnewline
0.24 & 105.597158075152 & 1.72913886389317 \tabularnewline
0.25 & 105.915313551418 & 1.87433574543034 \tabularnewline
0.26 & 106.254452859856 & 1.96678750216405 \tabularnewline
0.27 & 106.604798936145 & 1.99985732252844 \tabularnewline
0.28 & 106.955940627711 & 1.97275039498638 \tabularnewline
0.29 & 107.297828928457 & 1.89026068287421 \tabularnewline
0.3 & 107.621706341321 & 1.76209365987057 \tabularnewline
0.31 & 107.920847663587 & 1.60144630632063 \tabularnewline
0.32 & 108.191029685979 & 1.42341951209984 \tabularnewline
0.33 & 108.430696276141 & 1.24332720028489 \tabularnewline
0.34 & 108.640832734027 & 1.07544591474405 \tabularnewline
0.35 & 108.82460021488 & 0.932291020079399 \tabularnewline
0.36 & 108.986802668983 & 0.824005310994482 \tabularnewline
0.37 & 109.133264900009 & 0.757482703235816 \tabularnewline
0.38 & 109.270194239485 & 0.734789252102926 \tabularnewline
0.39 & 109.403584954421 & 0.752284867124682 \tabularnewline
0.4 & 109.538708749582 & 0.801087404779966 \tabularnewline
0.41 & 109.679720095219 & 0.870292029319839 \tabularnewline
0.42 & 109.82939316256 & 0.948790346613028 \tabularnewline
0.43 & 109.988997720765 & 1.02649663994987 \tabularnewline
0.44 & 110.158313294535 & 1.09443007687761 \tabularnewline
0.45 & 110.335772964272 & 1.1453335038405 \tabularnewline
0.46 & 110.518719796349 & 1.17383869298323 \tabularnewline
0.47 & 110.703750349436 & 1.17683550094201 \tabularnewline
0.48 & 110.887112169213 & 1.15373977147707 \tabularnewline
0.49 & 111.065117183877 & 1.10630910120045 \tabularnewline
0.5 & 111.234531753383 & 1.0385167172625 \tabularnewline
0.51 & 111.392907394097 & 0.956194017593167 \tabularnewline
0.52 & 111.538823525571 & 0.866263349190582 \tabularnewline
0.53 & 111.672023724714 & 0.776421381469164 \tabularnewline
0.54 & 111.793438181888 & 0.694556142798389 \tabularnewline
0.55 & 111.90509560457 & 0.628471446092968 \tabularnewline
0.56 & 112.009936467063 & 0.585168163077931 \tabularnewline
0.57 & 112.111545783332 & 0.569927973102196 \tabularnewline
0.58 & 112.213827758288 & 0.584654665009183 \tabularnewline
0.59 & 112.320647485294 & 0.627075580424112 \tabularnewline
0.6 & 112.435467044111 & 0.69144412402776 \tabularnewline
0.61 & 112.561005211386 & 0.770282435301992 \tabularnewline
0.62 & 112.698951115278 & 0.855306531465566 \tabularnewline
0.63 & 112.849761471351 & 0.937989566012638 \tabularnewline
0.64 & 113.012567150006 & 1.01009093418477 \tabularnewline
0.65 & 113.185206653338 & 1.06420482818075 \tabularnewline
0.66 & 113.364391428383 & 1.0944582902115 \tabularnewline
0.67 & 113.545991934378 & 1.09691400539051 \tabularnewline
0.68 & 113.725416466412 & 1.07023710004196 \tabularnewline
0.69 & 113.898040255159 & 1.01561623846737 \tabularnewline
0.7 & 114.059633704488 & 0.936742053203773 \tabularnewline
0.71 & 114.206738251832 & 0.839266024512298 \tabularnewline
0.72 & 114.336946921216 & 0.730178682773152 \tabularnewline
0.73 & 114.449062690814 & 0.616781176846865 \tabularnewline
0.74 & 114.543127856663 & 0.506186764959991 \tabularnewline
0.75 & 114.62033703044 & 0.404446086818443 \tabularnewline
0.76 & 114.682860718346 & 0.316373905646666 \tabularnewline
0.77 & 114.733612419531 & 0.24536721338159 \tabularnewline
0.78 & 114.77598908785 & 0.194122780986528 \tabularnewline
0.79 & 114.813604697026 & 0.16467550080461 \tabularnewline
0.8 & 114.850024112326 & 0.157737780341034 \tabularnewline
0.81 & 114.888495386296 & 0.170456669309488 \tabularnewline
0.82 & 114.931678252725 & 0.196712766052515 \tabularnewline
0.83 & 114.981377452574 & 0.229894965692422 \tabularnewline
0.84 & 115.038309322965 & 0.263757024634306 \tabularnewline
0.85 & 115.101951196002 & 0.292204387719542 \tabularnewline
0.86 & 115.17053414822 & 0.309818709136071 \tabularnewline
0.87 & 115.241229291179 & 0.312459715331968 \tabularnewline
0.88 & 115.310540797547 & 0.298185790779341 \tabularnewline
0.89 & 115.374860926681 & 0.267940799350904 \tabularnewline
0.9 & 115.431081503171 & 0.225447694489502 \tabularnewline
0.91 & 115.477118133819 & 0.176435847186466 \tabularnewline
0.92 & 115.512210140345 & 0.127394900305466 \tabularnewline
0.93 & 115.536917160691 & 0.0840069264406803 \tabularnewline
0.94 & 115.552826009458 & 0.0499021462494437 \tabularnewline
0.95 & 115.562072998036 & 0.0261961366538996 \tabularnewline
0.96 & 115.566838436706 & 0.0118131627648384 \tabularnewline
0.97 & 115.56895930005 & 0.00440254463917248 \tabularnewline
0.98 & 115.569740707576 & 0.00121518200447747 \tabularnewline
0.99 & 115.569960997512 & 0.000219131181135282 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128560&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]102.440089645792[/C][C]0.040272671674719[/C][/ROW]
[ROW][C]0.02[/C][C]102.474466681166[/C][C]0.142391096241744[/C][/ROW]
[ROW][C]0.03[/C][C]102.549326611152[/C][C]0.303426441361939[/C][/ROW]
[ROW][C]0.04[/C][C]102.674832538676[/C][C]0.48851680085697[/C][/ROW]
[ROW][C]0.05[/C][C]102.849584965305[/C][C]0.647587068144125[/C][/ROW]
[ROW][C]0.06[/C][C]103.060136448843[/C][C]0.739591657687277[/C][/ROW]
[ROW][C]0.07[/C][C]103.28538715333[/C][C]0.748362355110998[/C][/ROW]
[ROW][C]0.08[/C][C]103.503201990201[/C][C]0.683886739183661[/C][/ROW]
[ROW][C]0.09[/C][C]103.696155050676[/C][C]0.57257680840726[/C][/ROW]
[ROW][C]0.1[/C][C]103.854543577595[/C][C]0.444717072651305[/C][/ROW]
[ROW][C]0.11[/C][C]103.976505982406[/C][C]0.325169717610414[/C][/ROW]
[ROW][C]0.12[/C][C]104.066230200622[/C][C]0.230002174882694[/C][/ROW]
[ROW][C]0.13[/C][C]104.131535485481[/C][C]0.169209095230965[/C][/ROW]
[ROW][C]0.14[/C][C]104.181783340728[/C][C]0.151865566745184[/C][/ROW]
[ROW][C]0.15[/C][C]104.226530885663[/C][C]0.182243671148435[/C][/ROW]
[ROW][C]0.16[/C][C]104.274891975614[/C][C]0.254217742163816[/C][/ROW]
[ROW][C]0.17[/C][C]104.335339844834[/C][C]0.362797279049413[/C][/ROW]
[ROW][C]0.18[/C][C]104.415649955058[/C][C]0.506283986665549[/C][/ROW]
[ROW][C]0.19[/C][C]104.52276449649[/C][C]0.682086283283499[/C][/ROW]
[ROW][C]0.2[/C][C]104.662483886445[/C][C]0.884625380560406[/C][/ROW]
[ROW][C]0.21[/C][C]104.839004915405[/C][C]1.1045002460206[/C][/ROW]
[ROW][C]0.22[/C][C]105.054404754858[/C][C]1.32889819402037[/C][/ROW]
[ROW][C]0.23[/C][C]105.308206637194[/C][C]1.54242271118088[/C][/ROW]
[ROW][C]0.24[/C][C]105.597158075152[/C][C]1.72913886389317[/C][/ROW]
[ROW][C]0.25[/C][C]105.915313551418[/C][C]1.87433574543034[/C][/ROW]
[ROW][C]0.26[/C][C]106.254452859856[/C][C]1.96678750216405[/C][/ROW]
[ROW][C]0.27[/C][C]106.604798936145[/C][C]1.99985732252844[/C][/ROW]
[ROW][C]0.28[/C][C]106.955940627711[/C][C]1.97275039498638[/C][/ROW]
[ROW][C]0.29[/C][C]107.297828928457[/C][C]1.89026068287421[/C][/ROW]
[ROW][C]0.3[/C][C]107.621706341321[/C][C]1.76209365987057[/C][/ROW]
[ROW][C]0.31[/C][C]107.920847663587[/C][C]1.60144630632063[/C][/ROW]
[ROW][C]0.32[/C][C]108.191029685979[/C][C]1.42341951209984[/C][/ROW]
[ROW][C]0.33[/C][C]108.430696276141[/C][C]1.24332720028489[/C][/ROW]
[ROW][C]0.34[/C][C]108.640832734027[/C][C]1.07544591474405[/C][/ROW]
[ROW][C]0.35[/C][C]108.82460021488[/C][C]0.932291020079399[/C][/ROW]
[ROW][C]0.36[/C][C]108.986802668983[/C][C]0.824005310994482[/C][/ROW]
[ROW][C]0.37[/C][C]109.133264900009[/C][C]0.757482703235816[/C][/ROW]
[ROW][C]0.38[/C][C]109.270194239485[/C][C]0.734789252102926[/C][/ROW]
[ROW][C]0.39[/C][C]109.403584954421[/C][C]0.752284867124682[/C][/ROW]
[ROW][C]0.4[/C][C]109.538708749582[/C][C]0.801087404779966[/C][/ROW]
[ROW][C]0.41[/C][C]109.679720095219[/C][C]0.870292029319839[/C][/ROW]
[ROW][C]0.42[/C][C]109.82939316256[/C][C]0.948790346613028[/C][/ROW]
[ROW][C]0.43[/C][C]109.988997720765[/C][C]1.02649663994987[/C][/ROW]
[ROW][C]0.44[/C][C]110.158313294535[/C][C]1.09443007687761[/C][/ROW]
[ROW][C]0.45[/C][C]110.335772964272[/C][C]1.1453335038405[/C][/ROW]
[ROW][C]0.46[/C][C]110.518719796349[/C][C]1.17383869298323[/C][/ROW]
[ROW][C]0.47[/C][C]110.703750349436[/C][C]1.17683550094201[/C][/ROW]
[ROW][C]0.48[/C][C]110.887112169213[/C][C]1.15373977147707[/C][/ROW]
[ROW][C]0.49[/C][C]111.065117183877[/C][C]1.10630910120045[/C][/ROW]
[ROW][C]0.5[/C][C]111.234531753383[/C][C]1.0385167172625[/C][/ROW]
[ROW][C]0.51[/C][C]111.392907394097[/C][C]0.956194017593167[/C][/ROW]
[ROW][C]0.52[/C][C]111.538823525571[/C][C]0.866263349190582[/C][/ROW]
[ROW][C]0.53[/C][C]111.672023724714[/C][C]0.776421381469164[/C][/ROW]
[ROW][C]0.54[/C][C]111.793438181888[/C][C]0.694556142798389[/C][/ROW]
[ROW][C]0.55[/C][C]111.90509560457[/C][C]0.628471446092968[/C][/ROW]
[ROW][C]0.56[/C][C]112.009936467063[/C][C]0.585168163077931[/C][/ROW]
[ROW][C]0.57[/C][C]112.111545783332[/C][C]0.569927973102196[/C][/ROW]
[ROW][C]0.58[/C][C]112.213827758288[/C][C]0.584654665009183[/C][/ROW]
[ROW][C]0.59[/C][C]112.320647485294[/C][C]0.627075580424112[/C][/ROW]
[ROW][C]0.6[/C][C]112.435467044111[/C][C]0.69144412402776[/C][/ROW]
[ROW][C]0.61[/C][C]112.561005211386[/C][C]0.770282435301992[/C][/ROW]
[ROW][C]0.62[/C][C]112.698951115278[/C][C]0.855306531465566[/C][/ROW]
[ROW][C]0.63[/C][C]112.849761471351[/C][C]0.937989566012638[/C][/ROW]
[ROW][C]0.64[/C][C]113.012567150006[/C][C]1.01009093418477[/C][/ROW]
[ROW][C]0.65[/C][C]113.185206653338[/C][C]1.06420482818075[/C][/ROW]
[ROW][C]0.66[/C][C]113.364391428383[/C][C]1.0944582902115[/C][/ROW]
[ROW][C]0.67[/C][C]113.545991934378[/C][C]1.09691400539051[/C][/ROW]
[ROW][C]0.68[/C][C]113.725416466412[/C][C]1.07023710004196[/C][/ROW]
[ROW][C]0.69[/C][C]113.898040255159[/C][C]1.01561623846737[/C][/ROW]
[ROW][C]0.7[/C][C]114.059633704488[/C][C]0.936742053203773[/C][/ROW]
[ROW][C]0.71[/C][C]114.206738251832[/C][C]0.839266024512298[/C][/ROW]
[ROW][C]0.72[/C][C]114.336946921216[/C][C]0.730178682773152[/C][/ROW]
[ROW][C]0.73[/C][C]114.449062690814[/C][C]0.616781176846865[/C][/ROW]
[ROW][C]0.74[/C][C]114.543127856663[/C][C]0.506186764959991[/C][/ROW]
[ROW][C]0.75[/C][C]114.62033703044[/C][C]0.404446086818443[/C][/ROW]
[ROW][C]0.76[/C][C]114.682860718346[/C][C]0.316373905646666[/C][/ROW]
[ROW][C]0.77[/C][C]114.733612419531[/C][C]0.24536721338159[/C][/ROW]
[ROW][C]0.78[/C][C]114.77598908785[/C][C]0.194122780986528[/C][/ROW]
[ROW][C]0.79[/C][C]114.813604697026[/C][C]0.16467550080461[/C][/ROW]
[ROW][C]0.8[/C][C]114.850024112326[/C][C]0.157737780341034[/C][/ROW]
[ROW][C]0.81[/C][C]114.888495386296[/C][C]0.170456669309488[/C][/ROW]
[ROW][C]0.82[/C][C]114.931678252725[/C][C]0.196712766052515[/C][/ROW]
[ROW][C]0.83[/C][C]114.981377452574[/C][C]0.229894965692422[/C][/ROW]
[ROW][C]0.84[/C][C]115.038309322965[/C][C]0.263757024634306[/C][/ROW]
[ROW][C]0.85[/C][C]115.101951196002[/C][C]0.292204387719542[/C][/ROW]
[ROW][C]0.86[/C][C]115.17053414822[/C][C]0.309818709136071[/C][/ROW]
[ROW][C]0.87[/C][C]115.241229291179[/C][C]0.312459715331968[/C][/ROW]
[ROW][C]0.88[/C][C]115.310540797547[/C][C]0.298185790779341[/C][/ROW]
[ROW][C]0.89[/C][C]115.374860926681[/C][C]0.267940799350904[/C][/ROW]
[ROW][C]0.9[/C][C]115.431081503171[/C][C]0.225447694489502[/C][/ROW]
[ROW][C]0.91[/C][C]115.477118133819[/C][C]0.176435847186466[/C][/ROW]
[ROW][C]0.92[/C][C]115.512210140345[/C][C]0.127394900305466[/C][/ROW]
[ROW][C]0.93[/C][C]115.536917160691[/C][C]0.0840069264406803[/C][/ROW]
[ROW][C]0.94[/C][C]115.552826009458[/C][C]0.0499021462494437[/C][/ROW]
[ROW][C]0.95[/C][C]115.562072998036[/C][C]0.0261961366538996[/C][/ROW]
[ROW][C]0.96[/C][C]115.566838436706[/C][C]0.0118131627648384[/C][/ROW]
[ROW][C]0.97[/C][C]115.56895930005[/C][C]0.00440254463917248[/C][/ROW]
[ROW][C]0.98[/C][C]115.569740707576[/C][C]0.00121518200447747[/C][/ROW]
[ROW][C]0.99[/C][C]115.569960997512[/C][C]0.000219131181135282[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128560&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128560&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
0.01102.4400896457920.040272671674719
0.02102.4744666811660.142391096241744
0.03102.5493266111520.303426441361939
0.04102.6748325386760.48851680085697
0.05102.8495849653050.647587068144125
0.06103.0601364488430.739591657687277
0.07103.285387153330.748362355110998
0.08103.5032019902010.683886739183661
0.09103.6961550506760.57257680840726
0.1103.8545435775950.444717072651305
0.11103.9765059824060.325169717610414
0.12104.0662302006220.230002174882694
0.13104.1315354854810.169209095230965
0.14104.1817833407280.151865566745184
0.15104.2265308856630.182243671148435
0.16104.2748919756140.254217742163816
0.17104.3353398448340.362797279049413
0.18104.4156499550580.506283986665549
0.19104.522764496490.682086283283499
0.2104.6624838864450.884625380560406
0.21104.8390049154051.1045002460206
0.22105.0544047548581.32889819402037
0.23105.3082066371941.54242271118088
0.24105.5971580751521.72913886389317
0.25105.9153135514181.87433574543034
0.26106.2544528598561.96678750216405
0.27106.6047989361451.99985732252844
0.28106.9559406277111.97275039498638
0.29107.2978289284571.89026068287421
0.3107.6217063413211.76209365987057
0.31107.9208476635871.60144630632063
0.32108.1910296859791.42341951209984
0.33108.4306962761411.24332720028489
0.34108.6408327340271.07544591474405
0.35108.824600214880.932291020079399
0.36108.9868026689830.824005310994482
0.37109.1332649000090.757482703235816
0.38109.2701942394850.734789252102926
0.39109.4035849544210.752284867124682
0.4109.5387087495820.801087404779966
0.41109.6797200952190.870292029319839
0.42109.829393162560.948790346613028
0.43109.9889977207651.02649663994987
0.44110.1583132945351.09443007687761
0.45110.3357729642721.1453335038405
0.46110.5187197963491.17383869298323
0.47110.7037503494361.17683550094201
0.48110.8871121692131.15373977147707
0.49111.0651171838771.10630910120045
0.5111.2345317533831.0385167172625
0.51111.3929073940970.956194017593167
0.52111.5388235255710.866263349190582
0.53111.6720237247140.776421381469164
0.54111.7934381818880.694556142798389
0.55111.905095604570.628471446092968
0.56112.0099364670630.585168163077931
0.57112.1115457833320.569927973102196
0.58112.2138277582880.584654665009183
0.59112.3206474852940.627075580424112
0.6112.4354670441110.69144412402776
0.61112.5610052113860.770282435301992
0.62112.6989511152780.855306531465566
0.63112.8497614713510.937989566012638
0.64113.0125671500061.01009093418477
0.65113.1852066533381.06420482818075
0.66113.3643914283831.0944582902115
0.67113.5459919343781.09691400539051
0.68113.7254164664121.07023710004196
0.69113.8980402551591.01561623846737
0.7114.0596337044880.936742053203773
0.71114.2067382518320.839266024512298
0.72114.3369469212160.730178682773152
0.73114.4490626908140.616781176846865
0.74114.5431278566630.506186764959991
0.75114.620337030440.404446086818443
0.76114.6828607183460.316373905646666
0.77114.7336124195310.24536721338159
0.78114.775989087850.194122780986528
0.79114.8136046970260.16467550080461
0.8114.8500241123260.157737780341034
0.81114.8884953862960.170456669309488
0.82114.9316782527250.196712766052515
0.83114.9813774525740.229894965692422
0.84115.0383093229650.263757024634306
0.85115.1019511960020.292204387719542
0.86115.170534148220.309818709136071
0.87115.2412292911790.312459715331968
0.88115.3105407975470.298185790779341
0.89115.3748609266810.267940799350904
0.9115.4310815031710.225447694489502
0.91115.4771181338190.176435847186466
0.92115.5122101403450.127394900305466
0.93115.5369171606910.0840069264406803
0.94115.5528260094580.0499021462494437
0.95115.5620729980360.0261961366538996
0.96115.5668384367060.0118131627648384
0.97115.568959300050.00440254463917248
0.98115.5697407075760.00121518200447747
0.99115.5699609975120.000219131181135282


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')