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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 computationThu, 11 Oct 2012 12:16:06 -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/2012/Oct/11/t134997219614781gmejcv8xq9.htm/, Retrieved Sat, 27 Apr 2024 23:37:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=175151, Retrieved Sat, 27 Apr 2024 23:37:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPercentielen: prijs van een salade Niçoise
Estimated Impact110

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] [Harrell-Davis Qua...] [2012-10-11 15:51:10] [381816b4dbc8592229f671b7a3d2b0fe]
- R PD    [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2012-10-11 16:16:06] [53258e2a15b9513ddb11a4655ef48ebf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.24
9.29
9.39
9.42
9.42
9.43
9.5
9.53
9.58
9.58
9.6
9.61
9.65
9.71
9.78
9.79
9.84
9.87
9.9
9.95
9.96
9.98
10.01
10
10.03
10.05
10.06
10.09
10.24
10.23
10.27
10.28
10.29
10.44
10.51
10.52
10.57
10.62
10.71
10.73
10.74
10.75
10.79
10.81
10.87
10.92
10.95
10.94
10.97
10.99
11.04
11.09
11.12
11.11
11.14
11.2
11.25
11.3
11.31
11.31
11.33
11.41
11.46
11.48
11.58
11.63
11.69
11.74
11.68
11.69
11.71
11.75

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175151&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175151&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175151&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.019.261180280826390.058281373584514
0.029.296019050442570.0677645865224502
0.039.334236034706190.0676776055536293
0.049.36906210646540.060571658205438
0.059.398501431851380.0544901299617002
0.069.423557409857250.0541408574748249
0.079.44619894425290.0585386709068669
0.089.468053931940030.0643368717969559
0.099.489954543597450.0691662896127913
0.19.512067722322210.0723189054549094
0.119.534250287059050.0742749129991999
0.129.556363510994960.0761578148229553
0.139.578432842064710.0790359598355378
0.149.600655017907270.0834683338083031
0.159.623311670151570.0893027758937937
0.169.646657066565250.0958968831603836
0.179.670829531503650.102412235899993
0.189.695809845473220.108068704851212
0.199.721427193274360.11225812052839
0.29.747399186726560.114684010398654
0.219.773387635399980.115326937869016
0.229.79905384392010.114370599940101
0.239.824102986659790.112117348922035
0.249.848313469788890.108964249724764
0.259.871552041970450.105330132469544
0.269.893777907124430.10164786341422
0.279.915039436869620.0983227565215732
0.289.935466108948170.0957713796704053
0.299.955256976273840.0943412000720027
0.39.974666029982420.0943406439633429
0.319.993984586131670.0959878913383543
0.3210.0135212381310.0993229839539161
0.3310.03358065829220.104296740172707
0.3410.05444320133520.110642664626797
0.3510.07634752869230.11805644636228
0.3610.09947817214080.126190219286669
0.3710.12395912953970.134668859650548
0.3810.14985345241950.143175936268303
0.3910.17716766518920.151430384682114
0.410.20585906907430.159257837575014
0.4110.23584375038030.166489427599097
0.4210.26700348315250.172979652025304
0.4310.29919055829290.178585945147383
0.4410.33223061375330.183192041512957
0.4510.36592446257430.186623149126017
0.4610.40005044723890.188736151712829
0.4710.43436884980260.189393569398234
0.4810.46862937913320.188563291199802
0.4910.50258190249810.186219450723137
0.510.5359896339850.182486776017772
0.5110.56864319041570.17754670814582
0.5210.60037347421030.171697428593783
0.5310.63106134473540.165221224432841
0.5410.66064249126150.158505279117756
0.5510.68910672247130.151868817521685
0.5610.71649186942050.145588991574382
0.5710.74287345327570.139852937492295
0.5810.76835198987410.134780649462766
0.5910.79304012854530.130370034981268
0.610.81705167635950.126590072338252
0.6110.84049397713080.123319408277501
0.6210.8634642460440.120468092587141
0.6310.88604953301890.11797148018582
0.6410.90832924162480.115792580615891
0.6510.93037874319130.113921851175219
0.6610.95227265311970.1123758637009
0.6710.97408669682210.11120211356563
0.6810.99589760943090.110372524894621
0.6911.01778099910210.109881606317131
0.711.03980745129780.109694450991218
0.7111.0620373838940.109741960523843
0.7211.08451540747810.109917019540702
0.7311.10726533114650.110121198050429
0.7411.13028747920550.110194997175989
0.7511.15356042555030.110013940001834
0.7611.17704919761890.109467316291142
0.7711.20072102722610.108514044091826
0.7811.22456766924070.107252186778159
0.7911.24863050278110.105925505144848
0.811.27302193110590.104918157665199
0.8111.29793512789470.104673857765489
0.8211.32363483450910.105565072860568
0.8311.35042488257950.107735268584494
0.8411.37859272570590.111009685966866
0.8511.40833634264360.11484485901583
0.8611.43968348679940.118412017311427
0.8711.47241728815850.120681565229389
0.8811.50602617799550.120548659136613
0.8911.53969992621980.117032251787117
0.911.57239488406110.109488488324006
0.9111.60298480892120.0979015951933249
0.9211.63049188158680.0830950698509556
0.9311.6543520894330.0667692979372618
0.9411.67461761186640.0512705262355717
0.9511.69196269856420.0389968593362784
0.9611.70738392250490.0312603542185885
0.9711.72161103148250.0266957071401585
0.9811.7344564592420.0217736611997139
0.9911.74454435791820.0149179696037983

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.26118028082639 & 0.058281373584514 \tabularnewline
0.02 & 9.29601905044257 & 0.0677645865224502 \tabularnewline
0.03 & 9.33423603470619 & 0.0676776055536293 \tabularnewline
0.04 & 9.3690621064654 & 0.060571658205438 \tabularnewline
0.05 & 9.39850143185138 & 0.0544901299617002 \tabularnewline
0.06 & 9.42355740985725 & 0.0541408574748249 \tabularnewline
0.07 & 9.4461989442529 & 0.0585386709068669 \tabularnewline
0.08 & 9.46805393194003 & 0.0643368717969559 \tabularnewline
0.09 & 9.48995454359745 & 0.0691662896127913 \tabularnewline
0.1 & 9.51206772232221 & 0.0723189054549094 \tabularnewline
0.11 & 9.53425028705905 & 0.0742749129991999 \tabularnewline
0.12 & 9.55636351099496 & 0.0761578148229553 \tabularnewline
0.13 & 9.57843284206471 & 0.0790359598355378 \tabularnewline
0.14 & 9.60065501790727 & 0.0834683338083031 \tabularnewline
0.15 & 9.62331167015157 & 0.0893027758937937 \tabularnewline
0.16 & 9.64665706656525 & 0.0958968831603836 \tabularnewline
0.17 & 9.67082953150365 & 0.102412235899993 \tabularnewline
0.18 & 9.69580984547322 & 0.108068704851212 \tabularnewline
0.19 & 9.72142719327436 & 0.11225812052839 \tabularnewline
0.2 & 9.74739918672656 & 0.114684010398654 \tabularnewline
0.21 & 9.77338763539998 & 0.115326937869016 \tabularnewline
0.22 & 9.7990538439201 & 0.114370599940101 \tabularnewline
0.23 & 9.82410298665979 & 0.112117348922035 \tabularnewline
0.24 & 9.84831346978889 & 0.108964249724764 \tabularnewline
0.25 & 9.87155204197045 & 0.105330132469544 \tabularnewline
0.26 & 9.89377790712443 & 0.10164786341422 \tabularnewline
0.27 & 9.91503943686962 & 0.0983227565215732 \tabularnewline
0.28 & 9.93546610894817 & 0.0957713796704053 \tabularnewline
0.29 & 9.95525697627384 & 0.0943412000720027 \tabularnewline
0.3 & 9.97466602998242 & 0.0943406439633429 \tabularnewline
0.31 & 9.99398458613167 & 0.0959878913383543 \tabularnewline
0.32 & 10.013521238131 & 0.0993229839539161 \tabularnewline
0.33 & 10.0335806582922 & 0.104296740172707 \tabularnewline
0.34 & 10.0544432013352 & 0.110642664626797 \tabularnewline
0.35 & 10.0763475286923 & 0.11805644636228 \tabularnewline
0.36 & 10.0994781721408 & 0.126190219286669 \tabularnewline
0.37 & 10.1239591295397 & 0.134668859650548 \tabularnewline
0.38 & 10.1498534524195 & 0.143175936268303 \tabularnewline
0.39 & 10.1771676651892 & 0.151430384682114 \tabularnewline
0.4 & 10.2058590690743 & 0.159257837575014 \tabularnewline
0.41 & 10.2358437503803 & 0.166489427599097 \tabularnewline
0.42 & 10.2670034831525 & 0.172979652025304 \tabularnewline
0.43 & 10.2991905582929 & 0.178585945147383 \tabularnewline
0.44 & 10.3322306137533 & 0.183192041512957 \tabularnewline
0.45 & 10.3659244625743 & 0.186623149126017 \tabularnewline
0.46 & 10.4000504472389 & 0.188736151712829 \tabularnewline
0.47 & 10.4343688498026 & 0.189393569398234 \tabularnewline
0.48 & 10.4686293791332 & 0.188563291199802 \tabularnewline
0.49 & 10.5025819024981 & 0.186219450723137 \tabularnewline
0.5 & 10.535989633985 & 0.182486776017772 \tabularnewline
0.51 & 10.5686431904157 & 0.17754670814582 \tabularnewline
0.52 & 10.6003734742103 & 0.171697428593783 \tabularnewline
0.53 & 10.6310613447354 & 0.165221224432841 \tabularnewline
0.54 & 10.6606424912615 & 0.158505279117756 \tabularnewline
0.55 & 10.6891067224713 & 0.151868817521685 \tabularnewline
0.56 & 10.7164918694205 & 0.145588991574382 \tabularnewline
0.57 & 10.7428734532757 & 0.139852937492295 \tabularnewline
0.58 & 10.7683519898741 & 0.134780649462766 \tabularnewline
0.59 & 10.7930401285453 & 0.130370034981268 \tabularnewline
0.6 & 10.8170516763595 & 0.126590072338252 \tabularnewline
0.61 & 10.8404939771308 & 0.123319408277501 \tabularnewline
0.62 & 10.863464246044 & 0.120468092587141 \tabularnewline
0.63 & 10.8860495330189 & 0.11797148018582 \tabularnewline
0.64 & 10.9083292416248 & 0.115792580615891 \tabularnewline
0.65 & 10.9303787431913 & 0.113921851175219 \tabularnewline
0.66 & 10.9522726531197 & 0.1123758637009 \tabularnewline
0.67 & 10.9740866968221 & 0.11120211356563 \tabularnewline
0.68 & 10.9958976094309 & 0.110372524894621 \tabularnewline
0.69 & 11.0177809991021 & 0.109881606317131 \tabularnewline
0.7 & 11.0398074512978 & 0.109694450991218 \tabularnewline
0.71 & 11.062037383894 & 0.109741960523843 \tabularnewline
0.72 & 11.0845154074781 & 0.109917019540702 \tabularnewline
0.73 & 11.1072653311465 & 0.110121198050429 \tabularnewline
0.74 & 11.1302874792055 & 0.110194997175989 \tabularnewline
0.75 & 11.1535604255503 & 0.110013940001834 \tabularnewline
0.76 & 11.1770491976189 & 0.109467316291142 \tabularnewline
0.77 & 11.2007210272261 & 0.108514044091826 \tabularnewline
0.78 & 11.2245676692407 & 0.107252186778159 \tabularnewline
0.79 & 11.2486305027811 & 0.105925505144848 \tabularnewline
0.8 & 11.2730219311059 & 0.104918157665199 \tabularnewline
0.81 & 11.2979351278947 & 0.104673857765489 \tabularnewline
0.82 & 11.3236348345091 & 0.105565072860568 \tabularnewline
0.83 & 11.3504248825795 & 0.107735268584494 \tabularnewline
0.84 & 11.3785927257059 & 0.111009685966866 \tabularnewline
0.85 & 11.4083363426436 & 0.11484485901583 \tabularnewline
0.86 & 11.4396834867994 & 0.118412017311427 \tabularnewline
0.87 & 11.4724172881585 & 0.120681565229389 \tabularnewline
0.88 & 11.5060261779955 & 0.120548659136613 \tabularnewline
0.89 & 11.5396999262198 & 0.117032251787117 \tabularnewline
0.9 & 11.5723948840611 & 0.109488488324006 \tabularnewline
0.91 & 11.6029848089212 & 0.0979015951933249 \tabularnewline
0.92 & 11.6304918815868 & 0.0830950698509556 \tabularnewline
0.93 & 11.654352089433 & 0.0667692979372618 \tabularnewline
0.94 & 11.6746176118664 & 0.0512705262355717 \tabularnewline
0.95 & 11.6919626985642 & 0.0389968593362784 \tabularnewline
0.96 & 11.7073839225049 & 0.0312603542185885 \tabularnewline
0.97 & 11.7216110314825 & 0.0266957071401585 \tabularnewline
0.98 & 11.734456459242 & 0.0217736611997139 \tabularnewline
0.99 & 11.7445443579182 & 0.0149179696037983 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=175151&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]9.26118028082639[/C][C]0.058281373584514[/C][/ROW]
[ROW][C]0.02[/C][C]9.29601905044257[/C][C]0.0677645865224502[/C][/ROW]
[ROW][C]0.03[/C][C]9.33423603470619[/C][C]0.0676776055536293[/C][/ROW]
[ROW][C]0.04[/C][C]9.3690621064654[/C][C]0.060571658205438[/C][/ROW]
[ROW][C]0.05[/C][C]9.39850143185138[/C][C]0.0544901299617002[/C][/ROW]
[ROW][C]0.06[/C][C]9.42355740985725[/C][C]0.0541408574748249[/C][/ROW]
[ROW][C]0.07[/C][C]9.4461989442529[/C][C]0.0585386709068669[/C][/ROW]
[ROW][C]0.08[/C][C]9.46805393194003[/C][C]0.0643368717969559[/C][/ROW]
[ROW][C]0.09[/C][C]9.48995454359745[/C][C]0.0691662896127913[/C][/ROW]
[ROW][C]0.1[/C][C]9.51206772232221[/C][C]0.0723189054549094[/C][/ROW]
[ROW][C]0.11[/C][C]9.53425028705905[/C][C]0.0742749129991999[/C][/ROW]
[ROW][C]0.12[/C][C]9.55636351099496[/C][C]0.0761578148229553[/C][/ROW]
[ROW][C]0.13[/C][C]9.57843284206471[/C][C]0.0790359598355378[/C][/ROW]
[ROW][C]0.14[/C][C]9.60065501790727[/C][C]0.0834683338083031[/C][/ROW]
[ROW][C]0.15[/C][C]9.62331167015157[/C][C]0.0893027758937937[/C][/ROW]
[ROW][C]0.16[/C][C]9.64665706656525[/C][C]0.0958968831603836[/C][/ROW]
[ROW][C]0.17[/C][C]9.67082953150365[/C][C]0.102412235899993[/C][/ROW]
[ROW][C]0.18[/C][C]9.69580984547322[/C][C]0.108068704851212[/C][/ROW]
[ROW][C]0.19[/C][C]9.72142719327436[/C][C]0.11225812052839[/C][/ROW]
[ROW][C]0.2[/C][C]9.74739918672656[/C][C]0.114684010398654[/C][/ROW]
[ROW][C]0.21[/C][C]9.77338763539998[/C][C]0.115326937869016[/C][/ROW]
[ROW][C]0.22[/C][C]9.7990538439201[/C][C]0.114370599940101[/C][/ROW]
[ROW][C]0.23[/C][C]9.82410298665979[/C][C]0.112117348922035[/C][/ROW]
[ROW][C]0.24[/C][C]9.84831346978889[/C][C]0.108964249724764[/C][/ROW]
[ROW][C]0.25[/C][C]9.87155204197045[/C][C]0.105330132469544[/C][/ROW]
[ROW][C]0.26[/C][C]9.89377790712443[/C][C]0.10164786341422[/C][/ROW]
[ROW][C]0.27[/C][C]9.91503943686962[/C][C]0.0983227565215732[/C][/ROW]
[ROW][C]0.28[/C][C]9.93546610894817[/C][C]0.0957713796704053[/C][/ROW]
[ROW][C]0.29[/C][C]9.95525697627384[/C][C]0.0943412000720027[/C][/ROW]
[ROW][C]0.3[/C][C]9.97466602998242[/C][C]0.0943406439633429[/C][/ROW]
[ROW][C]0.31[/C][C]9.99398458613167[/C][C]0.0959878913383543[/C][/ROW]
[ROW][C]0.32[/C][C]10.013521238131[/C][C]0.0993229839539161[/C][/ROW]
[ROW][C]0.33[/C][C]10.0335806582922[/C][C]0.104296740172707[/C][/ROW]
[ROW][C]0.34[/C][C]10.0544432013352[/C][C]0.110642664626797[/C][/ROW]
[ROW][C]0.35[/C][C]10.0763475286923[/C][C]0.11805644636228[/C][/ROW]
[ROW][C]0.36[/C][C]10.0994781721408[/C][C]0.126190219286669[/C][/ROW]
[ROW][C]0.37[/C][C]10.1239591295397[/C][C]0.134668859650548[/C][/ROW]
[ROW][C]0.38[/C][C]10.1498534524195[/C][C]0.143175936268303[/C][/ROW]
[ROW][C]0.39[/C][C]10.1771676651892[/C][C]0.151430384682114[/C][/ROW]
[ROW][C]0.4[/C][C]10.2058590690743[/C][C]0.159257837575014[/C][/ROW]
[ROW][C]0.41[/C][C]10.2358437503803[/C][C]0.166489427599097[/C][/ROW]
[ROW][C]0.42[/C][C]10.2670034831525[/C][C]0.172979652025304[/C][/ROW]
[ROW][C]0.43[/C][C]10.2991905582929[/C][C]0.178585945147383[/C][/ROW]
[ROW][C]0.44[/C][C]10.3322306137533[/C][C]0.183192041512957[/C][/ROW]
[ROW][C]0.45[/C][C]10.3659244625743[/C][C]0.186623149126017[/C][/ROW]
[ROW][C]0.46[/C][C]10.4000504472389[/C][C]0.188736151712829[/C][/ROW]
[ROW][C]0.47[/C][C]10.4343688498026[/C][C]0.189393569398234[/C][/ROW]
[ROW][C]0.48[/C][C]10.4686293791332[/C][C]0.188563291199802[/C][/ROW]
[ROW][C]0.49[/C][C]10.5025819024981[/C][C]0.186219450723137[/C][/ROW]
[ROW][C]0.5[/C][C]10.535989633985[/C][C]0.182486776017772[/C][/ROW]
[ROW][C]0.51[/C][C]10.5686431904157[/C][C]0.17754670814582[/C][/ROW]
[ROW][C]0.52[/C][C]10.6003734742103[/C][C]0.171697428593783[/C][/ROW]
[ROW][C]0.53[/C][C]10.6310613447354[/C][C]0.165221224432841[/C][/ROW]
[ROW][C]0.54[/C][C]10.6606424912615[/C][C]0.158505279117756[/C][/ROW]
[ROW][C]0.55[/C][C]10.6891067224713[/C][C]0.151868817521685[/C][/ROW]
[ROW][C]0.56[/C][C]10.7164918694205[/C][C]0.145588991574382[/C][/ROW]
[ROW][C]0.57[/C][C]10.7428734532757[/C][C]0.139852937492295[/C][/ROW]
[ROW][C]0.58[/C][C]10.7683519898741[/C][C]0.134780649462766[/C][/ROW]
[ROW][C]0.59[/C][C]10.7930401285453[/C][C]0.130370034981268[/C][/ROW]
[ROW][C]0.6[/C][C]10.8170516763595[/C][C]0.126590072338252[/C][/ROW]
[ROW][C]0.61[/C][C]10.8404939771308[/C][C]0.123319408277501[/C][/ROW]
[ROW][C]0.62[/C][C]10.863464246044[/C][C]0.120468092587141[/C][/ROW]
[ROW][C]0.63[/C][C]10.8860495330189[/C][C]0.11797148018582[/C][/ROW]
[ROW][C]0.64[/C][C]10.9083292416248[/C][C]0.115792580615891[/C][/ROW]
[ROW][C]0.65[/C][C]10.9303787431913[/C][C]0.113921851175219[/C][/ROW]
[ROW][C]0.66[/C][C]10.9522726531197[/C][C]0.1123758637009[/C][/ROW]
[ROW][C]0.67[/C][C]10.9740866968221[/C][C]0.11120211356563[/C][/ROW]
[ROW][C]0.68[/C][C]10.9958976094309[/C][C]0.110372524894621[/C][/ROW]
[ROW][C]0.69[/C][C]11.0177809991021[/C][C]0.109881606317131[/C][/ROW]
[ROW][C]0.7[/C][C]11.0398074512978[/C][C]0.109694450991218[/C][/ROW]
[ROW][C]0.71[/C][C]11.062037383894[/C][C]0.109741960523843[/C][/ROW]
[ROW][C]0.72[/C][C]11.0845154074781[/C][C]0.109917019540702[/C][/ROW]
[ROW][C]0.73[/C][C]11.1072653311465[/C][C]0.110121198050429[/C][/ROW]
[ROW][C]0.74[/C][C]11.1302874792055[/C][C]0.110194997175989[/C][/ROW]
[ROW][C]0.75[/C][C]11.1535604255503[/C][C]0.110013940001834[/C][/ROW]
[ROW][C]0.76[/C][C]11.1770491976189[/C][C]0.109467316291142[/C][/ROW]
[ROW][C]0.77[/C][C]11.2007210272261[/C][C]0.108514044091826[/C][/ROW]
[ROW][C]0.78[/C][C]11.2245676692407[/C][C]0.107252186778159[/C][/ROW]
[ROW][C]0.79[/C][C]11.2486305027811[/C][C]0.105925505144848[/C][/ROW]
[ROW][C]0.8[/C][C]11.2730219311059[/C][C]0.104918157665199[/C][/ROW]
[ROW][C]0.81[/C][C]11.2979351278947[/C][C]0.104673857765489[/C][/ROW]
[ROW][C]0.82[/C][C]11.3236348345091[/C][C]0.105565072860568[/C][/ROW]
[ROW][C]0.83[/C][C]11.3504248825795[/C][C]0.107735268584494[/C][/ROW]
[ROW][C]0.84[/C][C]11.3785927257059[/C][C]0.111009685966866[/C][/ROW]
[ROW][C]0.85[/C][C]11.4083363426436[/C][C]0.11484485901583[/C][/ROW]
[ROW][C]0.86[/C][C]11.4396834867994[/C][C]0.118412017311427[/C][/ROW]
[ROW][C]0.87[/C][C]11.4724172881585[/C][C]0.120681565229389[/C][/ROW]
[ROW][C]0.88[/C][C]11.5060261779955[/C][C]0.120548659136613[/C][/ROW]
[ROW][C]0.89[/C][C]11.5396999262198[/C][C]0.117032251787117[/C][/ROW]
[ROW][C]0.9[/C][C]11.5723948840611[/C][C]0.109488488324006[/C][/ROW]
[ROW][C]0.91[/C][C]11.6029848089212[/C][C]0.0979015951933249[/C][/ROW]
[ROW][C]0.92[/C][C]11.6304918815868[/C][C]0.0830950698509556[/C][/ROW]
[ROW][C]0.93[/C][C]11.654352089433[/C][C]0.0667692979372618[/C][/ROW]
[ROW][C]0.94[/C][C]11.6746176118664[/C][C]0.0512705262355717[/C][/ROW]
[ROW][C]0.95[/C][C]11.6919626985642[/C][C]0.0389968593362784[/C][/ROW]
[ROW][C]0.96[/C][C]11.7073839225049[/C][C]0.0312603542185885[/C][/ROW]
[ROW][C]0.97[/C][C]11.7216110314825[/C][C]0.0266957071401585[/C][/ROW]
[ROW][C]0.98[/C][C]11.734456459242[/C][C]0.0217736611997139[/C][/ROW]
[ROW][C]0.99[/C][C]11.7445443579182[/C][C]0.0149179696037983[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=175151&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=175151&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
0.019.261180280826390.058281373584514
0.029.296019050442570.0677645865224502
0.039.334236034706190.0676776055536293
0.049.36906210646540.060571658205438
0.059.398501431851380.0544901299617002
0.069.423557409857250.0541408574748249
0.079.44619894425290.0585386709068669
0.089.468053931940030.0643368717969559
0.099.489954543597450.0691662896127913
0.19.512067722322210.0723189054549094
0.119.534250287059050.0742749129991999
0.129.556363510994960.0761578148229553
0.139.578432842064710.0790359598355378
0.149.600655017907270.0834683338083031
0.159.623311670151570.0893027758937937
0.169.646657066565250.0958968831603836
0.179.670829531503650.102412235899993
0.189.695809845473220.108068704851212
0.199.721427193274360.11225812052839
0.29.747399186726560.114684010398654
0.219.773387635399980.115326937869016
0.229.79905384392010.114370599940101
0.239.824102986659790.112117348922035
0.249.848313469788890.108964249724764
0.259.871552041970450.105330132469544
0.269.893777907124430.10164786341422
0.279.915039436869620.0983227565215732
0.289.935466108948170.0957713796704053
0.299.955256976273840.0943412000720027
0.39.974666029982420.0943406439633429
0.319.993984586131670.0959878913383543
0.3210.0135212381310.0993229839539161
0.3310.03358065829220.104296740172707
0.3410.05444320133520.110642664626797
0.3510.07634752869230.11805644636228
0.3610.09947817214080.126190219286669
0.3710.12395912953970.134668859650548
0.3810.14985345241950.143175936268303
0.3910.17716766518920.151430384682114
0.410.20585906907430.159257837575014
0.4110.23584375038030.166489427599097
0.4210.26700348315250.172979652025304
0.4310.29919055829290.178585945147383
0.4410.33223061375330.183192041512957
0.4510.36592446257430.186623149126017
0.4610.40005044723890.188736151712829
0.4710.43436884980260.189393569398234
0.4810.46862937913320.188563291199802
0.4910.50258190249810.186219450723137
0.510.5359896339850.182486776017772
0.5110.56864319041570.17754670814582
0.5210.60037347421030.171697428593783
0.5310.63106134473540.165221224432841
0.5410.66064249126150.158505279117756
0.5510.68910672247130.151868817521685
0.5610.71649186942050.145588991574382
0.5710.74287345327570.139852937492295
0.5810.76835198987410.134780649462766
0.5910.79304012854530.130370034981268
0.610.81705167635950.126590072338252
0.6110.84049397713080.123319408277501
0.6210.8634642460440.120468092587141
0.6310.88604953301890.11797148018582
0.6410.90832924162480.115792580615891
0.6510.93037874319130.113921851175219
0.6610.95227265311970.1123758637009
0.6710.97408669682210.11120211356563
0.6810.99589760943090.110372524894621
0.6911.01778099910210.109881606317131
0.711.03980745129780.109694450991218
0.7111.0620373838940.109741960523843
0.7211.08451540747810.109917019540702
0.7311.10726533114650.110121198050429
0.7411.13028747920550.110194997175989
0.7511.15356042555030.110013940001834
0.7611.17704919761890.109467316291142
0.7711.20072102722610.108514044091826
0.7811.22456766924070.107252186778159
0.7911.24863050278110.105925505144848
0.811.27302193110590.104918157665199
0.8111.29793512789470.104673857765489
0.8211.32363483450910.105565072860568
0.8311.35042488257950.107735268584494
0.8411.37859272570590.111009685966866
0.8511.40833634264360.11484485901583
0.8611.43968348679940.118412017311427
0.8711.47241728815850.120681565229389
0.8811.50602617799550.120548659136613
0.8911.53969992621980.117032251787117
0.911.57239488406110.109488488324006
0.9111.60298480892120.0979015951933249
0.9211.63049188158680.0830950698509556
0.9311.6543520894330.0667692979372618
0.9411.67461761186640.0512705262355717
0.9511.69196269856420.0389968593362784
0.9611.70738392250490.0312603542185885
0.9711.72161103148250.0266957071401585
0.9811.7344564592420.0217736611997139
0.9911.74454435791820.0149179696037983


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')