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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, 01 Mar 2016 22:41:03 +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/2016/Mar/01/t1456872140zfghrpue98kq4q6.htm/, Retrieved Tue, 07 May 2024 10:29:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293256, Retrieved Tue, 07 May 2024 10:29:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

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] [Verhuur en handel...] [2016-03-01 22:41:03] [38f93cf143127a30e50d4675c70fea9c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16,8
17,2
17,4
17,6
17,7
17,7
17,6
17,6
17,5
17,5
17,6
17,6
17,9
18,2
18,4
18,5
19
19,5
19,7
19,9
19,7
19,5
19,7
19,7
19,7
19,9
20,1
20,1
20,1
20,1
20,2
20,3
20,8
21,1
21,2
21,3
21,6
21,7
21,8
22
21,9
21,9
22
22,1
21
19,7
19,8
19,9
19,8
20
20,2
20,3
20,7
20,9
21
21,2
23,7
23,7
23,7
23,8
24
24
24,1
24,3
24,4
24,4
24,5
24,6
24,7
24,6
24,6
24,6
24,7
24,7
24,8
24,9
25
25,1
25,2
25,3

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'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293256&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293256&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293256&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0116.93549253521690.330884585565137
0.0217.11884569103610.250913490546298
0.0317.27527888513440.185423620860259
0.0417.38582616849230.137218419441095
0.0517.459898839410.104022210771822
0.0617.51077921986670.0836318048013049
0.0717.5484922774580.0745700060006414
0.0817.58013785330410.078193324112796
0.0917.61134918160890.0974299560850579
0.117.64717684522540.133524019222408
0.1117.69229900354860.185515740276672
0.1217.75080214600930.251035361831687
0.1317.825798813060.326214824007258
0.1417.91907483623410.405985153370426
0.1518.03086738406670.484316835651339
0.1618.15980905312310.555012732459737
0.1718.30303920767210.612184119455842
0.1818.45646858071030.651012046975251
0.1918.61517239444220.668286855003491
0.218.77387372084570.662900333235547
0.2118.92746304923510.636018261925976
0.2219.07148780720830.590894891271302
0.2319.2025439642510.532484735109729
0.2419.318515134730.466630912772316
0.2519.41863157376670.399229427206702
0.2619.50335538910440.335542881081673
0.2719.57412965156750.279568969274086
0.2819.63304949436280.233891665328011
0.2919.68251857885020.199592996174761
0.319.72494542939230.176313277178308
0.3119.76251594377560.162624147272164
0.3219.79705719222120.156346275761323
0.3319.82998891628370.15530123724359
0.3419.86234619672070.157549604005877
0.3519.89485038170560.161861167395974
0.3619.9280045145890.167595825405492
0.3719.96219227401630.174640205457345
0.3819.99776397585550.183279533138995
0.3920.03509820453660.194001653854866
0.420.07463256571650.207360986821894
0.4120.11686180956830.223817004350378
0.4220.16230623473210.243305375457287
0.4320.21145773214350.265549197665752
0.4420.26471460556930.289672702763136
0.4520.32231867126310.314533200282163
0.4620.38430832587370.338747685963848
0.4720.45049882442450.360937497980995
0.4820.52049607050270.379992102431081
0.4920.59374363982190.395149996220319
0.520.66959597296260.406135619788226
0.5120.7474053618110.413245427806282
0.5220.82660796206820.41732448001433
0.5320.90679533701290.41952612806332
0.5420.98776271294750.421114205849029
0.5521.06953189474370.423425501275512
0.5621.15235357007890.427613523642659
0.5721.2366982248150.434655387036922
0.5821.3232452922230.44538754106884
0.5921.41287583233320.46071366130052
0.621.50666597001690.481553741461666
0.6121.6058691244350.508902375177384
0.6221.71186843228250.543623774813011
0.6321.82608040023420.585924471772528
0.6421.94979903221150.634970698646498
0.6522.08398612182030.688554339861322
0.6622.22903445539010.742944865646327
0.6722.38454991581630.793227758162617
0.6822.54920843506380.834049217085059
0.6922.72073851603780.860291107604922
0.722.89605796911930.868134345635793
0.7123.07155869403940.855677923062521
0.7223.24349516491760.82337901680811
0.7323.40840266015740.7740273042831
0.7423.56346048591010.712127310773099
0.7523.70672806136940.643126552408203
0.7623.83721456199990.572406975497569
0.7723.95478572615720.504361123990946
0.7824.05995101782560.441811619692893
0.7924.15359884231720.385982109475129
0.824.23675090166920.336697608961543
0.8124.31039034418220.292988947454775
0.8224.37538943239350.25373922542756
0.8324.43253118596430.218185821371153
0.8424.4825953522830.186140724722482
0.8524.52646833162480.157959292062267
0.8624.56524066429650.13439697752597
0.8724.60027000219580.116357272644592
0.8824.63320261408570.104674336258229
0.8924.66595145054790.0998855136098878
0.924.70061902467140.10203414341645
0.9124.73933887593380.110264820242438
0.9224.78401434900590.122634108926155
0.9324.83597919496790.135981756099482
0.9424.89568324533550.146563343931439
0.9524.96256882211730.150958098268926
0.9625.03525903544720.147130846628926
0.9725.11182595957420.134996084524307
0.9825.18890753103170.117235469533734
0.9925.25768113295040.102297023659094

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.9354925352169 & 0.330884585565137 \tabularnewline
0.02 & 17.1188456910361 & 0.250913490546298 \tabularnewline
0.03 & 17.2752788851344 & 0.185423620860259 \tabularnewline
0.04 & 17.3858261684923 & 0.137218419441095 \tabularnewline
0.05 & 17.45989883941 & 0.104022210771822 \tabularnewline
0.06 & 17.5107792198667 & 0.0836318048013049 \tabularnewline
0.07 & 17.548492277458 & 0.0745700060006414 \tabularnewline
0.08 & 17.5801378533041 & 0.078193324112796 \tabularnewline
0.09 & 17.6113491816089 & 0.0974299560850579 \tabularnewline
0.1 & 17.6471768452254 & 0.133524019222408 \tabularnewline
0.11 & 17.6922990035486 & 0.185515740276672 \tabularnewline
0.12 & 17.7508021460093 & 0.251035361831687 \tabularnewline
0.13 & 17.82579881306 & 0.326214824007258 \tabularnewline
0.14 & 17.9190748362341 & 0.405985153370426 \tabularnewline
0.15 & 18.0308673840667 & 0.484316835651339 \tabularnewline
0.16 & 18.1598090531231 & 0.555012732459737 \tabularnewline
0.17 & 18.3030392076721 & 0.612184119455842 \tabularnewline
0.18 & 18.4564685807103 & 0.651012046975251 \tabularnewline
0.19 & 18.6151723944422 & 0.668286855003491 \tabularnewline
0.2 & 18.7738737208457 & 0.662900333235547 \tabularnewline
0.21 & 18.9274630492351 & 0.636018261925976 \tabularnewline
0.22 & 19.0714878072083 & 0.590894891271302 \tabularnewline
0.23 & 19.202543964251 & 0.532484735109729 \tabularnewline
0.24 & 19.31851513473 & 0.466630912772316 \tabularnewline
0.25 & 19.4186315737667 & 0.399229427206702 \tabularnewline
0.26 & 19.5033553891044 & 0.335542881081673 \tabularnewline
0.27 & 19.5741296515675 & 0.279568969274086 \tabularnewline
0.28 & 19.6330494943628 & 0.233891665328011 \tabularnewline
0.29 & 19.6825185788502 & 0.199592996174761 \tabularnewline
0.3 & 19.7249454293923 & 0.176313277178308 \tabularnewline
0.31 & 19.7625159437756 & 0.162624147272164 \tabularnewline
0.32 & 19.7970571922212 & 0.156346275761323 \tabularnewline
0.33 & 19.8299889162837 & 0.15530123724359 \tabularnewline
0.34 & 19.8623461967207 & 0.157549604005877 \tabularnewline
0.35 & 19.8948503817056 & 0.161861167395974 \tabularnewline
0.36 & 19.928004514589 & 0.167595825405492 \tabularnewline
0.37 & 19.9621922740163 & 0.174640205457345 \tabularnewline
0.38 & 19.9977639758555 & 0.183279533138995 \tabularnewline
0.39 & 20.0350982045366 & 0.194001653854866 \tabularnewline
0.4 & 20.0746325657165 & 0.207360986821894 \tabularnewline
0.41 & 20.1168618095683 & 0.223817004350378 \tabularnewline
0.42 & 20.1623062347321 & 0.243305375457287 \tabularnewline
0.43 & 20.2114577321435 & 0.265549197665752 \tabularnewline
0.44 & 20.2647146055693 & 0.289672702763136 \tabularnewline
0.45 & 20.3223186712631 & 0.314533200282163 \tabularnewline
0.46 & 20.3843083258737 & 0.338747685963848 \tabularnewline
0.47 & 20.4504988244245 & 0.360937497980995 \tabularnewline
0.48 & 20.5204960705027 & 0.379992102431081 \tabularnewline
0.49 & 20.5937436398219 & 0.395149996220319 \tabularnewline
0.5 & 20.6695959729626 & 0.406135619788226 \tabularnewline
0.51 & 20.747405361811 & 0.413245427806282 \tabularnewline
0.52 & 20.8266079620682 & 0.41732448001433 \tabularnewline
0.53 & 20.9067953370129 & 0.41952612806332 \tabularnewline
0.54 & 20.9877627129475 & 0.421114205849029 \tabularnewline
0.55 & 21.0695318947437 & 0.423425501275512 \tabularnewline
0.56 & 21.1523535700789 & 0.427613523642659 \tabularnewline
0.57 & 21.236698224815 & 0.434655387036922 \tabularnewline
0.58 & 21.323245292223 & 0.44538754106884 \tabularnewline
0.59 & 21.4128758323332 & 0.46071366130052 \tabularnewline
0.6 & 21.5066659700169 & 0.481553741461666 \tabularnewline
0.61 & 21.605869124435 & 0.508902375177384 \tabularnewline
0.62 & 21.7118684322825 & 0.543623774813011 \tabularnewline
0.63 & 21.8260804002342 & 0.585924471772528 \tabularnewline
0.64 & 21.9497990322115 & 0.634970698646498 \tabularnewline
0.65 & 22.0839861218203 & 0.688554339861322 \tabularnewline
0.66 & 22.2290344553901 & 0.742944865646327 \tabularnewline
0.67 & 22.3845499158163 & 0.793227758162617 \tabularnewline
0.68 & 22.5492084350638 & 0.834049217085059 \tabularnewline
0.69 & 22.7207385160378 & 0.860291107604922 \tabularnewline
0.7 & 22.8960579691193 & 0.868134345635793 \tabularnewline
0.71 & 23.0715586940394 & 0.855677923062521 \tabularnewline
0.72 & 23.2434951649176 & 0.82337901680811 \tabularnewline
0.73 & 23.4084026601574 & 0.7740273042831 \tabularnewline
0.74 & 23.5634604859101 & 0.712127310773099 \tabularnewline
0.75 & 23.7067280613694 & 0.643126552408203 \tabularnewline
0.76 & 23.8372145619999 & 0.572406975497569 \tabularnewline
0.77 & 23.9547857261572 & 0.504361123990946 \tabularnewline
0.78 & 24.0599510178256 & 0.441811619692893 \tabularnewline
0.79 & 24.1535988423172 & 0.385982109475129 \tabularnewline
0.8 & 24.2367509016692 & 0.336697608961543 \tabularnewline
0.81 & 24.3103903441822 & 0.292988947454775 \tabularnewline
0.82 & 24.3753894323935 & 0.25373922542756 \tabularnewline
0.83 & 24.4325311859643 & 0.218185821371153 \tabularnewline
0.84 & 24.482595352283 & 0.186140724722482 \tabularnewline
0.85 & 24.5264683316248 & 0.157959292062267 \tabularnewline
0.86 & 24.5652406642965 & 0.13439697752597 \tabularnewline
0.87 & 24.6002700021958 & 0.116357272644592 \tabularnewline
0.88 & 24.6332026140857 & 0.104674336258229 \tabularnewline
0.89 & 24.6659514505479 & 0.0998855136098878 \tabularnewline
0.9 & 24.7006190246714 & 0.10203414341645 \tabularnewline
0.91 & 24.7393388759338 & 0.110264820242438 \tabularnewline
0.92 & 24.7840143490059 & 0.122634108926155 \tabularnewline
0.93 & 24.8359791949679 & 0.135981756099482 \tabularnewline
0.94 & 24.8956832453355 & 0.146563343931439 \tabularnewline
0.95 & 24.9625688221173 & 0.150958098268926 \tabularnewline
0.96 & 25.0352590354472 & 0.147130846628926 \tabularnewline
0.97 & 25.1118259595742 & 0.134996084524307 \tabularnewline
0.98 & 25.1889075310317 & 0.117235469533734 \tabularnewline
0.99 & 25.2576811329504 & 0.102297023659094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293256&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]16.9354925352169[/C][C]0.330884585565137[/C][/ROW]
[ROW][C]0.02[/C][C]17.1188456910361[/C][C]0.250913490546298[/C][/ROW]
[ROW][C]0.03[/C][C]17.2752788851344[/C][C]0.185423620860259[/C][/ROW]
[ROW][C]0.04[/C][C]17.3858261684923[/C][C]0.137218419441095[/C][/ROW]
[ROW][C]0.05[/C][C]17.45989883941[/C][C]0.104022210771822[/C][/ROW]
[ROW][C]0.06[/C][C]17.5107792198667[/C][C]0.0836318048013049[/C][/ROW]
[ROW][C]0.07[/C][C]17.548492277458[/C][C]0.0745700060006414[/C][/ROW]
[ROW][C]0.08[/C][C]17.5801378533041[/C][C]0.078193324112796[/C][/ROW]
[ROW][C]0.09[/C][C]17.6113491816089[/C][C]0.0974299560850579[/C][/ROW]
[ROW][C]0.1[/C][C]17.6471768452254[/C][C]0.133524019222408[/C][/ROW]
[ROW][C]0.11[/C][C]17.6922990035486[/C][C]0.185515740276672[/C][/ROW]
[ROW][C]0.12[/C][C]17.7508021460093[/C][C]0.251035361831687[/C][/ROW]
[ROW][C]0.13[/C][C]17.82579881306[/C][C]0.326214824007258[/C][/ROW]
[ROW][C]0.14[/C][C]17.9190748362341[/C][C]0.405985153370426[/C][/ROW]
[ROW][C]0.15[/C][C]18.0308673840667[/C][C]0.484316835651339[/C][/ROW]
[ROW][C]0.16[/C][C]18.1598090531231[/C][C]0.555012732459737[/C][/ROW]
[ROW][C]0.17[/C][C]18.3030392076721[/C][C]0.612184119455842[/C][/ROW]
[ROW][C]0.18[/C][C]18.4564685807103[/C][C]0.651012046975251[/C][/ROW]
[ROW][C]0.19[/C][C]18.6151723944422[/C][C]0.668286855003491[/C][/ROW]
[ROW][C]0.2[/C][C]18.7738737208457[/C][C]0.662900333235547[/C][/ROW]
[ROW][C]0.21[/C][C]18.9274630492351[/C][C]0.636018261925976[/C][/ROW]
[ROW][C]0.22[/C][C]19.0714878072083[/C][C]0.590894891271302[/C][/ROW]
[ROW][C]0.23[/C][C]19.202543964251[/C][C]0.532484735109729[/C][/ROW]
[ROW][C]0.24[/C][C]19.31851513473[/C][C]0.466630912772316[/C][/ROW]
[ROW][C]0.25[/C][C]19.4186315737667[/C][C]0.399229427206702[/C][/ROW]
[ROW][C]0.26[/C][C]19.5033553891044[/C][C]0.335542881081673[/C][/ROW]
[ROW][C]0.27[/C][C]19.5741296515675[/C][C]0.279568969274086[/C][/ROW]
[ROW][C]0.28[/C][C]19.6330494943628[/C][C]0.233891665328011[/C][/ROW]
[ROW][C]0.29[/C][C]19.6825185788502[/C][C]0.199592996174761[/C][/ROW]
[ROW][C]0.3[/C][C]19.7249454293923[/C][C]0.176313277178308[/C][/ROW]
[ROW][C]0.31[/C][C]19.7625159437756[/C][C]0.162624147272164[/C][/ROW]
[ROW][C]0.32[/C][C]19.7970571922212[/C][C]0.156346275761323[/C][/ROW]
[ROW][C]0.33[/C][C]19.8299889162837[/C][C]0.15530123724359[/C][/ROW]
[ROW][C]0.34[/C][C]19.8623461967207[/C][C]0.157549604005877[/C][/ROW]
[ROW][C]0.35[/C][C]19.8948503817056[/C][C]0.161861167395974[/C][/ROW]
[ROW][C]0.36[/C][C]19.928004514589[/C][C]0.167595825405492[/C][/ROW]
[ROW][C]0.37[/C][C]19.9621922740163[/C][C]0.174640205457345[/C][/ROW]
[ROW][C]0.38[/C][C]19.9977639758555[/C][C]0.183279533138995[/C][/ROW]
[ROW][C]0.39[/C][C]20.0350982045366[/C][C]0.194001653854866[/C][/ROW]
[ROW][C]0.4[/C][C]20.0746325657165[/C][C]0.207360986821894[/C][/ROW]
[ROW][C]0.41[/C][C]20.1168618095683[/C][C]0.223817004350378[/C][/ROW]
[ROW][C]0.42[/C][C]20.1623062347321[/C][C]0.243305375457287[/C][/ROW]
[ROW][C]0.43[/C][C]20.2114577321435[/C][C]0.265549197665752[/C][/ROW]
[ROW][C]0.44[/C][C]20.2647146055693[/C][C]0.289672702763136[/C][/ROW]
[ROW][C]0.45[/C][C]20.3223186712631[/C][C]0.314533200282163[/C][/ROW]
[ROW][C]0.46[/C][C]20.3843083258737[/C][C]0.338747685963848[/C][/ROW]
[ROW][C]0.47[/C][C]20.4504988244245[/C][C]0.360937497980995[/C][/ROW]
[ROW][C]0.48[/C][C]20.5204960705027[/C][C]0.379992102431081[/C][/ROW]
[ROW][C]0.49[/C][C]20.5937436398219[/C][C]0.395149996220319[/C][/ROW]
[ROW][C]0.5[/C][C]20.6695959729626[/C][C]0.406135619788226[/C][/ROW]
[ROW][C]0.51[/C][C]20.747405361811[/C][C]0.413245427806282[/C][/ROW]
[ROW][C]0.52[/C][C]20.8266079620682[/C][C]0.41732448001433[/C][/ROW]
[ROW][C]0.53[/C][C]20.9067953370129[/C][C]0.41952612806332[/C][/ROW]
[ROW][C]0.54[/C][C]20.9877627129475[/C][C]0.421114205849029[/C][/ROW]
[ROW][C]0.55[/C][C]21.0695318947437[/C][C]0.423425501275512[/C][/ROW]
[ROW][C]0.56[/C][C]21.1523535700789[/C][C]0.427613523642659[/C][/ROW]
[ROW][C]0.57[/C][C]21.236698224815[/C][C]0.434655387036922[/C][/ROW]
[ROW][C]0.58[/C][C]21.323245292223[/C][C]0.44538754106884[/C][/ROW]
[ROW][C]0.59[/C][C]21.4128758323332[/C][C]0.46071366130052[/C][/ROW]
[ROW][C]0.6[/C][C]21.5066659700169[/C][C]0.481553741461666[/C][/ROW]
[ROW][C]0.61[/C][C]21.605869124435[/C][C]0.508902375177384[/C][/ROW]
[ROW][C]0.62[/C][C]21.7118684322825[/C][C]0.543623774813011[/C][/ROW]
[ROW][C]0.63[/C][C]21.8260804002342[/C][C]0.585924471772528[/C][/ROW]
[ROW][C]0.64[/C][C]21.9497990322115[/C][C]0.634970698646498[/C][/ROW]
[ROW][C]0.65[/C][C]22.0839861218203[/C][C]0.688554339861322[/C][/ROW]
[ROW][C]0.66[/C][C]22.2290344553901[/C][C]0.742944865646327[/C][/ROW]
[ROW][C]0.67[/C][C]22.3845499158163[/C][C]0.793227758162617[/C][/ROW]
[ROW][C]0.68[/C][C]22.5492084350638[/C][C]0.834049217085059[/C][/ROW]
[ROW][C]0.69[/C][C]22.7207385160378[/C][C]0.860291107604922[/C][/ROW]
[ROW][C]0.7[/C][C]22.8960579691193[/C][C]0.868134345635793[/C][/ROW]
[ROW][C]0.71[/C][C]23.0715586940394[/C][C]0.855677923062521[/C][/ROW]
[ROW][C]0.72[/C][C]23.2434951649176[/C][C]0.82337901680811[/C][/ROW]
[ROW][C]0.73[/C][C]23.4084026601574[/C][C]0.7740273042831[/C][/ROW]
[ROW][C]0.74[/C][C]23.5634604859101[/C][C]0.712127310773099[/C][/ROW]
[ROW][C]0.75[/C][C]23.7067280613694[/C][C]0.643126552408203[/C][/ROW]
[ROW][C]0.76[/C][C]23.8372145619999[/C][C]0.572406975497569[/C][/ROW]
[ROW][C]0.77[/C][C]23.9547857261572[/C][C]0.504361123990946[/C][/ROW]
[ROW][C]0.78[/C][C]24.0599510178256[/C][C]0.441811619692893[/C][/ROW]
[ROW][C]0.79[/C][C]24.1535988423172[/C][C]0.385982109475129[/C][/ROW]
[ROW][C]0.8[/C][C]24.2367509016692[/C][C]0.336697608961543[/C][/ROW]
[ROW][C]0.81[/C][C]24.3103903441822[/C][C]0.292988947454775[/C][/ROW]
[ROW][C]0.82[/C][C]24.3753894323935[/C][C]0.25373922542756[/C][/ROW]
[ROW][C]0.83[/C][C]24.4325311859643[/C][C]0.218185821371153[/C][/ROW]
[ROW][C]0.84[/C][C]24.482595352283[/C][C]0.186140724722482[/C][/ROW]
[ROW][C]0.85[/C][C]24.5264683316248[/C][C]0.157959292062267[/C][/ROW]
[ROW][C]0.86[/C][C]24.5652406642965[/C][C]0.13439697752597[/C][/ROW]
[ROW][C]0.87[/C][C]24.6002700021958[/C][C]0.116357272644592[/C][/ROW]
[ROW][C]0.88[/C][C]24.6332026140857[/C][C]0.104674336258229[/C][/ROW]
[ROW][C]0.89[/C][C]24.6659514505479[/C][C]0.0998855136098878[/C][/ROW]
[ROW][C]0.9[/C][C]24.7006190246714[/C][C]0.10203414341645[/C][/ROW]
[ROW][C]0.91[/C][C]24.7393388759338[/C][C]0.110264820242438[/C][/ROW]
[ROW][C]0.92[/C][C]24.7840143490059[/C][C]0.122634108926155[/C][/ROW]
[ROW][C]0.93[/C][C]24.8359791949679[/C][C]0.135981756099482[/C][/ROW]
[ROW][C]0.94[/C][C]24.8956832453355[/C][C]0.146563343931439[/C][/ROW]
[ROW][C]0.95[/C][C]24.9625688221173[/C][C]0.150958098268926[/C][/ROW]
[ROW][C]0.96[/C][C]25.0352590354472[/C][C]0.147130846628926[/C][/ROW]
[ROW][C]0.97[/C][C]25.1118259595742[/C][C]0.134996084524307[/C][/ROW]
[ROW][C]0.98[/C][C]25.1889075310317[/C][C]0.117235469533734[/C][/ROW]
[ROW][C]0.99[/C][C]25.2576811329504[/C][C]0.102297023659094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293256&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293256&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
0.0116.93549253521690.330884585565137
0.0217.11884569103610.250913490546298
0.0317.27527888513440.185423620860259
0.0417.38582616849230.137218419441095
0.0517.459898839410.104022210771822
0.0617.51077921986670.0836318048013049
0.0717.5484922774580.0745700060006414
0.0817.58013785330410.078193324112796
0.0917.61134918160890.0974299560850579
0.117.64717684522540.133524019222408
0.1117.69229900354860.185515740276672
0.1217.75080214600930.251035361831687
0.1317.825798813060.326214824007258
0.1417.91907483623410.405985153370426
0.1518.03086738406670.484316835651339
0.1618.15980905312310.555012732459737
0.1718.30303920767210.612184119455842
0.1818.45646858071030.651012046975251
0.1918.61517239444220.668286855003491
0.218.77387372084570.662900333235547
0.2118.92746304923510.636018261925976
0.2219.07148780720830.590894891271302
0.2319.2025439642510.532484735109729
0.2419.318515134730.466630912772316
0.2519.41863157376670.399229427206702
0.2619.50335538910440.335542881081673
0.2719.57412965156750.279568969274086
0.2819.63304949436280.233891665328011
0.2919.68251857885020.199592996174761
0.319.72494542939230.176313277178308
0.3119.76251594377560.162624147272164
0.3219.79705719222120.156346275761323
0.3319.82998891628370.15530123724359
0.3419.86234619672070.157549604005877
0.3519.89485038170560.161861167395974
0.3619.9280045145890.167595825405492
0.3719.96219227401630.174640205457345
0.3819.99776397585550.183279533138995
0.3920.03509820453660.194001653854866
0.420.07463256571650.207360986821894
0.4120.11686180956830.223817004350378
0.4220.16230623473210.243305375457287
0.4320.21145773214350.265549197665752
0.4420.26471460556930.289672702763136
0.4520.32231867126310.314533200282163
0.4620.38430832587370.338747685963848
0.4720.45049882442450.360937497980995
0.4820.52049607050270.379992102431081
0.4920.59374363982190.395149996220319
0.520.66959597296260.406135619788226
0.5120.7474053618110.413245427806282
0.5220.82660796206820.41732448001433
0.5320.90679533701290.41952612806332
0.5420.98776271294750.421114205849029
0.5521.06953189474370.423425501275512
0.5621.15235357007890.427613523642659
0.5721.2366982248150.434655387036922
0.5821.3232452922230.44538754106884
0.5921.41287583233320.46071366130052
0.621.50666597001690.481553741461666
0.6121.6058691244350.508902375177384
0.6221.71186843228250.543623774813011
0.6321.82608040023420.585924471772528
0.6421.94979903221150.634970698646498
0.6522.08398612182030.688554339861322
0.6622.22903445539010.742944865646327
0.6722.38454991581630.793227758162617
0.6822.54920843506380.834049217085059
0.6922.72073851603780.860291107604922
0.722.89605796911930.868134345635793
0.7123.07155869403940.855677923062521
0.7223.24349516491760.82337901680811
0.7323.40840266015740.7740273042831
0.7423.56346048591010.712127310773099
0.7523.70672806136940.643126552408203
0.7623.83721456199990.572406975497569
0.7723.95478572615720.504361123990946
0.7824.05995101782560.441811619692893
0.7924.15359884231720.385982109475129
0.824.23675090166920.336697608961543
0.8124.31039034418220.292988947454775
0.8224.37538943239350.25373922542756
0.8324.43253118596430.218185821371153
0.8424.4825953522830.186140724722482
0.8524.52646833162480.157959292062267
0.8624.56524066429650.13439697752597
0.8724.60027000219580.116357272644592
0.8824.63320261408570.104674336258229
0.8924.66595145054790.0998855136098878
0.924.70061902467140.10203414341645
0.9124.73933887593380.110264820242438
0.9224.78401434900590.122634108926155
0.9324.83597919496790.135981756099482
0.9424.89568324533550.146563343931439
0.9524.96256882211730.150958098268926
0.9625.03525903544720.147130846628926
0.9725.11182595957420.134996084524307
0.9825.18890753103170.117235469533734
0.9925.25768113295040.102297023659094


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')