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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, 28 Feb 2012 07:21:59 -0500
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/Feb/28/t1330431751fgymj29t5bkxhv9.htm/, Retrieved Tue, 30 Apr 2024 05:29:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163311, Retrieved Tue, 30 Apr 2024 05:29:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198

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] [Harrel-Davis Deci...] [2012-02-28 12:21:59] [732e4567293b40941604fcb6ea096e93] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15,13
15,25
15,33
15,36
15,4
15,4
15,41
15,47
15,54
15,55
15,59
15,65
15,75
15,86
15,89
15,94
15,93
15,95
15,99
15,99
16,06
16,08
16,07
16,11
16,15
16,18
16,3
16,42
16,49
16,5
16,58
16,64
16,66
16,81
16,91
16,92
16,95
17,11
17,16
17,16
17,27
17,34
17,39
17,43
17,45
17,5
17,56
17,65
17,62
17,7
17,72
17,71
17,74
17,75
17,78
17,8
17,86
17,88
17,89
17,94

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163311&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163311&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163311&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.115.43130602359910.0727137845225072
0.1115.45223862667280.0827206784532847
0.1215.47471918977970.0934271700988722
0.1315.49898297683460.104297789734657
0.1415.52507999629530.114978477492133
0.1515.55292608020430.125179482422612
0.1615.58233729443780.134560964048186
0.1715.61304811347070.1426922533003
0.1815.64472032781120.149078940325291
0.1915.67695225647820.153260499975233
0.215.70929599345260.154908082314058
0.2115.74128565666230.153901145626011
0.2215.77247431129770.150398813666053
0.2315.80247345527120.144826311070349
0.2415.83098771569280.137761786558633
0.2515.85783863366040.129938758608639
0.2615.88297425175430.122084531034223
0.2715.90646451434590.11489467330045
0.2815.92848523590720.108944246726739
0.2915.94929497560270.104635667824235
0.315.96920942834320.102226270213889
0.3115.98857713321110.101818528244945
0.3216.00775886023670.10345341243926
0.3316.02711146767610.107019560014131
0.3416.04697574231010.112448289201449
0.3516.06766699923690.119577993827588
0.3616.089467092390.128200344581558
0.3716.11261687506220.138101634701554
0.3816.1373088416530.148948324231096
0.3916.16368042297770.160365342044594
0.416.19180896338260.171961318265846
0.4116.22170961702170.183308059532799
0.4216.25333720521070.194038809971352
0.4316.28659252824340.203810760124505
0.4416.32133286437030.212417965539969
0.4516.35738560712060.219730759484839
0.4616.39456338243050.225738039561572
0.4716.43267869583970.230517750578515
0.4816.4715562539620.234226895800092
0.4916.51104155681570.237077348489041
0.516.55100505878730.239231609182998
0.5116.59134198399770.240873580632603
0.5216.63196858440840.242108836299652
0.5316.67281610596990.242988777622252
0.5416.71382390293250.243516147383493
0.5516.75493301339640.243623046608595
0.5616.79608115011170.243256057093853
0.5716.83719958465440.242356497957093
0.5816.87821193756010.240870971829507
0.5916.91903453808590.238766236080772
0.616.95957784632340.236028011569287
0.6116.99974844369190.232663887772974
0.6217.03945125124080.228673713088949
0.6317.07859185049150.224059726551902
0.6417.11707896951570.218870944670293
0.6517.15482728134220.213136294094723
0.6617.19176059953940.206920612565863
0.6717.2278153497640.200297246288323
0.6817.26294389792280.193376763509044
0.6917.29711701765190.186271506102484
0.717.33032459545190.179112711488203
0.7117.36257370663760.172045571084315
0.7217.39388351430130.165175786705368
0.7317.42427704225170.158546187664364
0.7417.45377066225850.152137022884874
0.7517.48236294876760.14586249762632
0.7617.51002517716360.139526285956245
0.7717.53669596702210.132946152018004
0.7817.56228225804280.125886790404362
0.7917.58666792908940.118226511364784
0.817.60973004764450.109911964318639
0.8117.63136121437290.10103699528468
0.8217.65149506593840.0918141575219542
0.8317.67013102599270.0825991720317851
0.8417.68735404288780.0738349870115879
0.8517.70334532316060.0659826653284695
0.8617.71838075702280.0595028629192064
0.8717.73281453624420.054751769211497
0.8817.7470462594870.051905195756558
0.8917.76147103716250.0508572988893465
0.917.7764150510280.0511638819291654

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 15.4313060235991 & 0.0727137845225072 \tabularnewline
0.11 & 15.4522386266728 & 0.0827206784532847 \tabularnewline
0.12 & 15.4747191897797 & 0.0934271700988722 \tabularnewline
0.13 & 15.4989829768346 & 0.104297789734657 \tabularnewline
0.14 & 15.5250799962953 & 0.114978477492133 \tabularnewline
0.15 & 15.5529260802043 & 0.125179482422612 \tabularnewline
0.16 & 15.5823372944378 & 0.134560964048186 \tabularnewline
0.17 & 15.6130481134707 & 0.1426922533003 \tabularnewline
0.18 & 15.6447203278112 & 0.149078940325291 \tabularnewline
0.19 & 15.6769522564782 & 0.153260499975233 \tabularnewline
0.2 & 15.7092959934526 & 0.154908082314058 \tabularnewline
0.21 & 15.7412856566623 & 0.153901145626011 \tabularnewline
0.22 & 15.7724743112977 & 0.150398813666053 \tabularnewline
0.23 & 15.8024734552712 & 0.144826311070349 \tabularnewline
0.24 & 15.8309877156928 & 0.137761786558633 \tabularnewline
0.25 & 15.8578386336604 & 0.129938758608639 \tabularnewline
0.26 & 15.8829742517543 & 0.122084531034223 \tabularnewline
0.27 & 15.9064645143459 & 0.11489467330045 \tabularnewline
0.28 & 15.9284852359072 & 0.108944246726739 \tabularnewline
0.29 & 15.9492949756027 & 0.104635667824235 \tabularnewline
0.3 & 15.9692094283432 & 0.102226270213889 \tabularnewline
0.31 & 15.9885771332111 & 0.101818528244945 \tabularnewline
0.32 & 16.0077588602367 & 0.10345341243926 \tabularnewline
0.33 & 16.0271114676761 & 0.107019560014131 \tabularnewline
0.34 & 16.0469757423101 & 0.112448289201449 \tabularnewline
0.35 & 16.0676669992369 & 0.119577993827588 \tabularnewline
0.36 & 16.08946709239 & 0.128200344581558 \tabularnewline
0.37 & 16.1126168750622 & 0.138101634701554 \tabularnewline
0.38 & 16.137308841653 & 0.148948324231096 \tabularnewline
0.39 & 16.1636804229777 & 0.160365342044594 \tabularnewline
0.4 & 16.1918089633826 & 0.171961318265846 \tabularnewline
0.41 & 16.2217096170217 & 0.183308059532799 \tabularnewline
0.42 & 16.2533372052107 & 0.194038809971352 \tabularnewline
0.43 & 16.2865925282434 & 0.203810760124505 \tabularnewline
0.44 & 16.3213328643703 & 0.212417965539969 \tabularnewline
0.45 & 16.3573856071206 & 0.219730759484839 \tabularnewline
0.46 & 16.3945633824305 & 0.225738039561572 \tabularnewline
0.47 & 16.4326786958397 & 0.230517750578515 \tabularnewline
0.48 & 16.471556253962 & 0.234226895800092 \tabularnewline
0.49 & 16.5110415568157 & 0.237077348489041 \tabularnewline
0.5 & 16.5510050587873 & 0.239231609182998 \tabularnewline
0.51 & 16.5913419839977 & 0.240873580632603 \tabularnewline
0.52 & 16.6319685844084 & 0.242108836299652 \tabularnewline
0.53 & 16.6728161059699 & 0.242988777622252 \tabularnewline
0.54 & 16.7138239029325 & 0.243516147383493 \tabularnewline
0.55 & 16.7549330133964 & 0.243623046608595 \tabularnewline
0.56 & 16.7960811501117 & 0.243256057093853 \tabularnewline
0.57 & 16.8371995846544 & 0.242356497957093 \tabularnewline
0.58 & 16.8782119375601 & 0.240870971829507 \tabularnewline
0.59 & 16.9190345380859 & 0.238766236080772 \tabularnewline
0.6 & 16.9595778463234 & 0.236028011569287 \tabularnewline
0.61 & 16.9997484436919 & 0.232663887772974 \tabularnewline
0.62 & 17.0394512512408 & 0.228673713088949 \tabularnewline
0.63 & 17.0785918504915 & 0.224059726551902 \tabularnewline
0.64 & 17.1170789695157 & 0.218870944670293 \tabularnewline
0.65 & 17.1548272813422 & 0.213136294094723 \tabularnewline
0.66 & 17.1917605995394 & 0.206920612565863 \tabularnewline
0.67 & 17.227815349764 & 0.200297246288323 \tabularnewline
0.68 & 17.2629438979228 & 0.193376763509044 \tabularnewline
0.69 & 17.2971170176519 & 0.186271506102484 \tabularnewline
0.7 & 17.3303245954519 & 0.179112711488203 \tabularnewline
0.71 & 17.3625737066376 & 0.172045571084315 \tabularnewline
0.72 & 17.3938835143013 & 0.165175786705368 \tabularnewline
0.73 & 17.4242770422517 & 0.158546187664364 \tabularnewline
0.74 & 17.4537706622585 & 0.152137022884874 \tabularnewline
0.75 & 17.4823629487676 & 0.14586249762632 \tabularnewline
0.76 & 17.5100251771636 & 0.139526285956245 \tabularnewline
0.77 & 17.5366959670221 & 0.132946152018004 \tabularnewline
0.78 & 17.5622822580428 & 0.125886790404362 \tabularnewline
0.79 & 17.5866679290894 & 0.118226511364784 \tabularnewline
0.8 & 17.6097300476445 & 0.109911964318639 \tabularnewline
0.81 & 17.6313612143729 & 0.10103699528468 \tabularnewline
0.82 & 17.6514950659384 & 0.0918141575219542 \tabularnewline
0.83 & 17.6701310259927 & 0.0825991720317851 \tabularnewline
0.84 & 17.6873540428878 & 0.0738349870115879 \tabularnewline
0.85 & 17.7033453231606 & 0.0659826653284695 \tabularnewline
0.86 & 17.7183807570228 & 0.0595028629192064 \tabularnewline
0.87 & 17.7328145362442 & 0.054751769211497 \tabularnewline
0.88 & 17.747046259487 & 0.051905195756558 \tabularnewline
0.89 & 17.7614710371625 & 0.0508572988893465 \tabularnewline
0.9 & 17.776415051028 & 0.0511638819291654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163311&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]15.4313060235991[/C][C]0.0727137845225072[/C][/ROW]
[ROW][C]0.11[/C][C]15.4522386266728[/C][C]0.0827206784532847[/C][/ROW]
[ROW][C]0.12[/C][C]15.4747191897797[/C][C]0.0934271700988722[/C][/ROW]
[ROW][C]0.13[/C][C]15.4989829768346[/C][C]0.104297789734657[/C][/ROW]
[ROW][C]0.14[/C][C]15.5250799962953[/C][C]0.114978477492133[/C][/ROW]
[ROW][C]0.15[/C][C]15.5529260802043[/C][C]0.125179482422612[/C][/ROW]
[ROW][C]0.16[/C][C]15.5823372944378[/C][C]0.134560964048186[/C][/ROW]
[ROW][C]0.17[/C][C]15.6130481134707[/C][C]0.1426922533003[/C][/ROW]
[ROW][C]0.18[/C][C]15.6447203278112[/C][C]0.149078940325291[/C][/ROW]
[ROW][C]0.19[/C][C]15.6769522564782[/C][C]0.153260499975233[/C][/ROW]
[ROW][C]0.2[/C][C]15.7092959934526[/C][C]0.154908082314058[/C][/ROW]
[ROW][C]0.21[/C][C]15.7412856566623[/C][C]0.153901145626011[/C][/ROW]
[ROW][C]0.22[/C][C]15.7724743112977[/C][C]0.150398813666053[/C][/ROW]
[ROW][C]0.23[/C][C]15.8024734552712[/C][C]0.144826311070349[/C][/ROW]
[ROW][C]0.24[/C][C]15.8309877156928[/C][C]0.137761786558633[/C][/ROW]
[ROW][C]0.25[/C][C]15.8578386336604[/C][C]0.129938758608639[/C][/ROW]
[ROW][C]0.26[/C][C]15.8829742517543[/C][C]0.122084531034223[/C][/ROW]
[ROW][C]0.27[/C][C]15.9064645143459[/C][C]0.11489467330045[/C][/ROW]
[ROW][C]0.28[/C][C]15.9284852359072[/C][C]0.108944246726739[/C][/ROW]
[ROW][C]0.29[/C][C]15.9492949756027[/C][C]0.104635667824235[/C][/ROW]
[ROW][C]0.3[/C][C]15.9692094283432[/C][C]0.102226270213889[/C][/ROW]
[ROW][C]0.31[/C][C]15.9885771332111[/C][C]0.101818528244945[/C][/ROW]
[ROW][C]0.32[/C][C]16.0077588602367[/C][C]0.10345341243926[/C][/ROW]
[ROW][C]0.33[/C][C]16.0271114676761[/C][C]0.107019560014131[/C][/ROW]
[ROW][C]0.34[/C][C]16.0469757423101[/C][C]0.112448289201449[/C][/ROW]
[ROW][C]0.35[/C][C]16.0676669992369[/C][C]0.119577993827588[/C][/ROW]
[ROW][C]0.36[/C][C]16.08946709239[/C][C]0.128200344581558[/C][/ROW]
[ROW][C]0.37[/C][C]16.1126168750622[/C][C]0.138101634701554[/C][/ROW]
[ROW][C]0.38[/C][C]16.137308841653[/C][C]0.148948324231096[/C][/ROW]
[ROW][C]0.39[/C][C]16.1636804229777[/C][C]0.160365342044594[/C][/ROW]
[ROW][C]0.4[/C][C]16.1918089633826[/C][C]0.171961318265846[/C][/ROW]
[ROW][C]0.41[/C][C]16.2217096170217[/C][C]0.183308059532799[/C][/ROW]
[ROW][C]0.42[/C][C]16.2533372052107[/C][C]0.194038809971352[/C][/ROW]
[ROW][C]0.43[/C][C]16.2865925282434[/C][C]0.203810760124505[/C][/ROW]
[ROW][C]0.44[/C][C]16.3213328643703[/C][C]0.212417965539969[/C][/ROW]
[ROW][C]0.45[/C][C]16.3573856071206[/C][C]0.219730759484839[/C][/ROW]
[ROW][C]0.46[/C][C]16.3945633824305[/C][C]0.225738039561572[/C][/ROW]
[ROW][C]0.47[/C][C]16.4326786958397[/C][C]0.230517750578515[/C][/ROW]
[ROW][C]0.48[/C][C]16.471556253962[/C][C]0.234226895800092[/C][/ROW]
[ROW][C]0.49[/C][C]16.5110415568157[/C][C]0.237077348489041[/C][/ROW]
[ROW][C]0.5[/C][C]16.5510050587873[/C][C]0.239231609182998[/C][/ROW]
[ROW][C]0.51[/C][C]16.5913419839977[/C][C]0.240873580632603[/C][/ROW]
[ROW][C]0.52[/C][C]16.6319685844084[/C][C]0.242108836299652[/C][/ROW]
[ROW][C]0.53[/C][C]16.6728161059699[/C][C]0.242988777622252[/C][/ROW]
[ROW][C]0.54[/C][C]16.7138239029325[/C][C]0.243516147383493[/C][/ROW]
[ROW][C]0.55[/C][C]16.7549330133964[/C][C]0.243623046608595[/C][/ROW]
[ROW][C]0.56[/C][C]16.7960811501117[/C][C]0.243256057093853[/C][/ROW]
[ROW][C]0.57[/C][C]16.8371995846544[/C][C]0.242356497957093[/C][/ROW]
[ROW][C]0.58[/C][C]16.8782119375601[/C][C]0.240870971829507[/C][/ROW]
[ROW][C]0.59[/C][C]16.9190345380859[/C][C]0.238766236080772[/C][/ROW]
[ROW][C]0.6[/C][C]16.9595778463234[/C][C]0.236028011569287[/C][/ROW]
[ROW][C]0.61[/C][C]16.9997484436919[/C][C]0.232663887772974[/C][/ROW]
[ROW][C]0.62[/C][C]17.0394512512408[/C][C]0.228673713088949[/C][/ROW]
[ROW][C]0.63[/C][C]17.0785918504915[/C][C]0.224059726551902[/C][/ROW]
[ROW][C]0.64[/C][C]17.1170789695157[/C][C]0.218870944670293[/C][/ROW]
[ROW][C]0.65[/C][C]17.1548272813422[/C][C]0.213136294094723[/C][/ROW]
[ROW][C]0.66[/C][C]17.1917605995394[/C][C]0.206920612565863[/C][/ROW]
[ROW][C]0.67[/C][C]17.227815349764[/C][C]0.200297246288323[/C][/ROW]
[ROW][C]0.68[/C][C]17.2629438979228[/C][C]0.193376763509044[/C][/ROW]
[ROW][C]0.69[/C][C]17.2971170176519[/C][C]0.186271506102484[/C][/ROW]
[ROW][C]0.7[/C][C]17.3303245954519[/C][C]0.179112711488203[/C][/ROW]
[ROW][C]0.71[/C][C]17.3625737066376[/C][C]0.172045571084315[/C][/ROW]
[ROW][C]0.72[/C][C]17.3938835143013[/C][C]0.165175786705368[/C][/ROW]
[ROW][C]0.73[/C][C]17.4242770422517[/C][C]0.158546187664364[/C][/ROW]
[ROW][C]0.74[/C][C]17.4537706622585[/C][C]0.152137022884874[/C][/ROW]
[ROW][C]0.75[/C][C]17.4823629487676[/C][C]0.14586249762632[/C][/ROW]
[ROW][C]0.76[/C][C]17.5100251771636[/C][C]0.139526285956245[/C][/ROW]
[ROW][C]0.77[/C][C]17.5366959670221[/C][C]0.132946152018004[/C][/ROW]
[ROW][C]0.78[/C][C]17.5622822580428[/C][C]0.125886790404362[/C][/ROW]
[ROW][C]0.79[/C][C]17.5866679290894[/C][C]0.118226511364784[/C][/ROW]
[ROW][C]0.8[/C][C]17.6097300476445[/C][C]0.109911964318639[/C][/ROW]
[ROW][C]0.81[/C][C]17.6313612143729[/C][C]0.10103699528468[/C][/ROW]
[ROW][C]0.82[/C][C]17.6514950659384[/C][C]0.0918141575219542[/C][/ROW]
[ROW][C]0.83[/C][C]17.6701310259927[/C][C]0.0825991720317851[/C][/ROW]
[ROW][C]0.84[/C][C]17.6873540428878[/C][C]0.0738349870115879[/C][/ROW]
[ROW][C]0.85[/C][C]17.7033453231606[/C][C]0.0659826653284695[/C][/ROW]
[ROW][C]0.86[/C][C]17.7183807570228[/C][C]0.0595028629192064[/C][/ROW]
[ROW][C]0.87[/C][C]17.7328145362442[/C][C]0.054751769211497[/C][/ROW]
[ROW][C]0.88[/C][C]17.747046259487[/C][C]0.051905195756558[/C][/ROW]
[ROW][C]0.89[/C][C]17.7614710371625[/C][C]0.0508572988893465[/C][/ROW]
[ROW][C]0.9[/C][C]17.776415051028[/C][C]0.0511638819291654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163311&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163311&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
0.115.43130602359910.0727137845225072
0.1115.45223862667280.0827206784532847
0.1215.47471918977970.0934271700988722
0.1315.49898297683460.104297789734657
0.1415.52507999629530.114978477492133
0.1515.55292608020430.125179482422612
0.1615.58233729443780.134560964048186
0.1715.61304811347070.1426922533003
0.1815.64472032781120.149078940325291
0.1915.67695225647820.153260499975233
0.215.70929599345260.154908082314058
0.2115.74128565666230.153901145626011
0.2215.77247431129770.150398813666053
0.2315.80247345527120.144826311070349
0.2415.83098771569280.137761786558633
0.2515.85783863366040.129938758608639
0.2615.88297425175430.122084531034223
0.2715.90646451434590.11489467330045
0.2815.92848523590720.108944246726739
0.2915.94929497560270.104635667824235
0.315.96920942834320.102226270213889
0.3115.98857713321110.101818528244945
0.3216.00775886023670.10345341243926
0.3316.02711146767610.107019560014131
0.3416.04697574231010.112448289201449
0.3516.06766699923690.119577993827588
0.3616.089467092390.128200344581558
0.3716.11261687506220.138101634701554
0.3816.1373088416530.148948324231096
0.3916.16368042297770.160365342044594
0.416.19180896338260.171961318265846
0.4116.22170961702170.183308059532799
0.4216.25333720521070.194038809971352
0.4316.28659252824340.203810760124505
0.4416.32133286437030.212417965539969
0.4516.35738560712060.219730759484839
0.4616.39456338243050.225738039561572
0.4716.43267869583970.230517750578515
0.4816.4715562539620.234226895800092
0.4916.51104155681570.237077348489041
0.516.55100505878730.239231609182998
0.5116.59134198399770.240873580632603
0.5216.63196858440840.242108836299652
0.5316.67281610596990.242988777622252
0.5416.71382390293250.243516147383493
0.5516.75493301339640.243623046608595
0.5616.79608115011170.243256057093853
0.5716.83719958465440.242356497957093
0.5816.87821193756010.240870971829507
0.5916.91903453808590.238766236080772
0.616.95957784632340.236028011569287
0.6116.99974844369190.232663887772974
0.6217.03945125124080.228673713088949
0.6317.07859185049150.224059726551902
0.6417.11707896951570.218870944670293
0.6517.15482728134220.213136294094723
0.6617.19176059953940.206920612565863
0.6717.2278153497640.200297246288323
0.6817.26294389792280.193376763509044
0.6917.29711701765190.186271506102484
0.717.33032459545190.179112711488203
0.7117.36257370663760.172045571084315
0.7217.39388351430130.165175786705368
0.7317.42427704225170.158546187664364
0.7417.45377066225850.152137022884874
0.7517.48236294876760.14586249762632
0.7617.51002517716360.139526285956245
0.7717.53669596702210.132946152018004
0.7817.56228225804280.125886790404362
0.7917.58666792908940.118226511364784
0.817.60973004764450.109911964318639
0.8117.63136121437290.10103699528468
0.8217.65149506593840.0918141575219542
0.8317.67013102599270.0825991720317851
0.8417.68735404288780.0738349870115879
0.8517.70334532316060.0659826653284695
0.8617.71838075702280.0595028629192064
0.8717.73281453624420.054751769211497
0.8817.7470462594870.051905195756558
0.8917.76147103716250.0508572988893465
0.917.7764150510280.0511638819291654


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')