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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, 02 Oct 2013 05:29:09 -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/2013/Oct/02/t1380706219j1e23slvmq0hlzi.htm/, Retrieved Sun, 28 Apr 2024 09:28:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212617, Retrieved Sun, 28 Apr 2024 09:28:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [] [2013-10-02 09:29:09] [1177af5e7ddeef06deae586abecaeb9d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
 15,13 
 15,25 
 15,33 
 15,36 
 15,40 
 15,40 
 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 
 16,30 
 16,42 
 16,49 
 16,50 
 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 
 17,50 
 17,56 
 17,65 
 17,62 
 17,70 
 17,72 
 17,71 
 17,74 
 17,75 
 17,78 
 17,80 
 17,86 
 17,88 
 17,89 
 17,94 
 17,98 
 18,10 
 18,14 
 18,19 
 18,23 
 18,24 
 18,27 
 18,30 
 18,34 
 18,36 
 18,36 
 18,40 
 18,43 
 18,47 
 18,56 
 18,58 
 18,61 
 18,61 
 18,69 
 18,74 
 18,75 
 18,81 
 18,85 
 18,88

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212617&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212617&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212617&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.17572483141760.103403963854387
0.0215.23917655596850.0852681098694787
0.0315.29526458212550.0702218211699727
0.0415.33811700560110.0601317698626018
0.0515.371340532510.0572571325097263
0.0615.39991762172530.0622253553606087
0.0715.42772742366040.0732660102034453
0.0815.45726458622420.087706548011477
0.0915.48983785327740.103345804259635
0.115.5258659688380.11880087870109
0.1115.56516519102330.133097907513528
0.1215.60715652415190.145193860931908
0.1315.65098322094460.153959816172759
0.1415.69559054273640.158375941633674
0.1515.7398286628160.157976769237264
0.1615.78260019610990.153132635452901
0.1715.82302569768820.145023458395579
0.1815.86057765381080.135354300948894
0.1915.89514368100820.125987610471872
0.215.92700874074370.11859525136196
0.2115.95677422789120.114374850279286
0.2215.98524591266140.114033475197345
0.2316.01332104904020.117638693247217
0.2416.04189352145710.12510820468764
0.2516.07178288856720.135965827077245
0.2616.10368450662080.149540952824789
0.2716.1381354116040.165090092742524
0.2816.17549270091710.181725136937757
0.2916.21592459754850.198511980105171
0.316.25941636425750.214625230259349
0.3116.3057924660090.229319578997192
0.3216.35475331512210.242180927227404
0.3316.40592120050220.252980219620814
0.3416.45888742993410.261743453096647
0.3516.51325247752480.268672843625213
0.3616.56865312126740.274027369407249
0.3716.62477429501750.278048627738455
0.3816.68134729612810.28096581504665
0.3916.73813883683970.282773276800182
0.416.79493652743220.283552910347268
0.4116.85153576548350.28321405210455
0.4216.90773125767910.281676960008508
0.4316.96331430895770.278947001598693
0.4417.01807524977520.275006953085583
0.4517.07180929496870.269898144681628
0.4617.12432376876920.26366660927692
0.4717.17544481133890.256522878710602
0.4817.22502217125230.248536620502111
0.4917.27293131367890.239918086127501
0.517.31907275103160.230755781278671
0.5117.36336918992970.221196028752632
0.5217.40576171958470.211363330058468
0.5317.4462067146450.201266460795838
0.5417.48467522318410.191019541994498
0.5517.52115622562290.180641478592185
0.5617.55566427229520.170304743130443
0.5717.58825079729750.160180931116368
0.5817.61901717538480.150532523498545
0.5917.64812670251780.141707139770965
0.617.67581242471660.13412878722022
0.6117.70237820442070.128220439459444
0.6217.72819145314430.12429187035882
0.6317.75366725218080.122581781145873
0.6417.77924477131420.123181443914284
0.6517.80535774295910.12594660665989
0.6617.83240124115230.130562531751445
0.6717.86069733942010.136537366373089
0.6817.89046262866260.143249797138013
0.6917.92178117630560.150011115308648
0.717.95458711946750.155968548227262
0.7117.98866123622340.160423215908975
0.7218.02364496749020.162719318231158
0.7318.05907314458420.162449585625342
0.7418.09442333149480.159442353085519
0.7518.12917605300080.153885994916173
0.7618.1628774489530.1462530069057
0.7718.19519509673120.137250438724927
0.7818.2259591591530.127713946140122
0.7918.25518391675550.118494765513672
0.818.28306769598870.110406819355276
0.8118.30997091336250.10411676298349
0.8218.3363722807490.100009313040246
0.8318.36280370132420.0982276407329527
0.8418.38976764748920.0984601316322543
0.8518.4176486088810.0999886963028895
0.8618.44664082900410.101774748384843
0.8718.47672133080180.102739897077294
0.8818.50769043335350.102104299366017
0.8918.53927568334110.0996917455642218
0.918.57125700769390.0960142865281428
0.9118.60354653779280.0919094065589337
0.9218.63617674337180.0879504915697404
0.9318.66921778373110.0839122737495713
0.9418.70270405943890.0791469315741078
0.9518.73661632745120.0734078572215616
0.9618.7708348350430.0668786493727094
0.9718.80488486601540.0589295329368488
0.9818.83729867880830.0479500577214998
0.9918.8644444379690.0356992103286007

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.1757248314176 & 0.103403963854387 \tabularnewline
0.02 & 15.2391765559685 & 0.0852681098694787 \tabularnewline
0.03 & 15.2952645821255 & 0.0702218211699727 \tabularnewline
0.04 & 15.3381170056011 & 0.0601317698626018 \tabularnewline
0.05 & 15.37134053251 & 0.0572571325097263 \tabularnewline
0.06 & 15.3999176217253 & 0.0622253553606087 \tabularnewline
0.07 & 15.4277274236604 & 0.0732660102034453 \tabularnewline
0.08 & 15.4572645862242 & 0.087706548011477 \tabularnewline
0.09 & 15.4898378532774 & 0.103345804259635 \tabularnewline
0.1 & 15.525865968838 & 0.11880087870109 \tabularnewline
0.11 & 15.5651651910233 & 0.133097907513528 \tabularnewline
0.12 & 15.6071565241519 & 0.145193860931908 \tabularnewline
0.13 & 15.6509832209446 & 0.153959816172759 \tabularnewline
0.14 & 15.6955905427364 & 0.158375941633674 \tabularnewline
0.15 & 15.739828662816 & 0.157976769237264 \tabularnewline
0.16 & 15.7826001961099 & 0.153132635452901 \tabularnewline
0.17 & 15.8230256976882 & 0.145023458395579 \tabularnewline
0.18 & 15.8605776538108 & 0.135354300948894 \tabularnewline
0.19 & 15.8951436810082 & 0.125987610471872 \tabularnewline
0.2 & 15.9270087407437 & 0.11859525136196 \tabularnewline
0.21 & 15.9567742278912 & 0.114374850279286 \tabularnewline
0.22 & 15.9852459126614 & 0.114033475197345 \tabularnewline
0.23 & 16.0133210490402 & 0.117638693247217 \tabularnewline
0.24 & 16.0418935214571 & 0.12510820468764 \tabularnewline
0.25 & 16.0717828885672 & 0.135965827077245 \tabularnewline
0.26 & 16.1036845066208 & 0.149540952824789 \tabularnewline
0.27 & 16.138135411604 & 0.165090092742524 \tabularnewline
0.28 & 16.1754927009171 & 0.181725136937757 \tabularnewline
0.29 & 16.2159245975485 & 0.198511980105171 \tabularnewline
0.3 & 16.2594163642575 & 0.214625230259349 \tabularnewline
0.31 & 16.305792466009 & 0.229319578997192 \tabularnewline
0.32 & 16.3547533151221 & 0.242180927227404 \tabularnewline
0.33 & 16.4059212005022 & 0.252980219620814 \tabularnewline
0.34 & 16.4588874299341 & 0.261743453096647 \tabularnewline
0.35 & 16.5132524775248 & 0.268672843625213 \tabularnewline
0.36 & 16.5686531212674 & 0.274027369407249 \tabularnewline
0.37 & 16.6247742950175 & 0.278048627738455 \tabularnewline
0.38 & 16.6813472961281 & 0.28096581504665 \tabularnewline
0.39 & 16.7381388368397 & 0.282773276800182 \tabularnewline
0.4 & 16.7949365274322 & 0.283552910347268 \tabularnewline
0.41 & 16.8515357654835 & 0.28321405210455 \tabularnewline
0.42 & 16.9077312576791 & 0.281676960008508 \tabularnewline
0.43 & 16.9633143089577 & 0.278947001598693 \tabularnewline
0.44 & 17.0180752497752 & 0.275006953085583 \tabularnewline
0.45 & 17.0718092949687 & 0.269898144681628 \tabularnewline
0.46 & 17.1243237687692 & 0.26366660927692 \tabularnewline
0.47 & 17.1754448113389 & 0.256522878710602 \tabularnewline
0.48 & 17.2250221712523 & 0.248536620502111 \tabularnewline
0.49 & 17.2729313136789 & 0.239918086127501 \tabularnewline
0.5 & 17.3190727510316 & 0.230755781278671 \tabularnewline
0.51 & 17.3633691899297 & 0.221196028752632 \tabularnewline
0.52 & 17.4057617195847 & 0.211363330058468 \tabularnewline
0.53 & 17.446206714645 & 0.201266460795838 \tabularnewline
0.54 & 17.4846752231841 & 0.191019541994498 \tabularnewline
0.55 & 17.5211562256229 & 0.180641478592185 \tabularnewline
0.56 & 17.5556642722952 & 0.170304743130443 \tabularnewline
0.57 & 17.5882507972975 & 0.160180931116368 \tabularnewline
0.58 & 17.6190171753848 & 0.150532523498545 \tabularnewline
0.59 & 17.6481267025178 & 0.141707139770965 \tabularnewline
0.6 & 17.6758124247166 & 0.13412878722022 \tabularnewline
0.61 & 17.7023782044207 & 0.128220439459444 \tabularnewline
0.62 & 17.7281914531443 & 0.12429187035882 \tabularnewline
0.63 & 17.7536672521808 & 0.122581781145873 \tabularnewline
0.64 & 17.7792447713142 & 0.123181443914284 \tabularnewline
0.65 & 17.8053577429591 & 0.12594660665989 \tabularnewline
0.66 & 17.8324012411523 & 0.130562531751445 \tabularnewline
0.67 & 17.8606973394201 & 0.136537366373089 \tabularnewline
0.68 & 17.8904626286626 & 0.143249797138013 \tabularnewline
0.69 & 17.9217811763056 & 0.150011115308648 \tabularnewline
0.7 & 17.9545871194675 & 0.155968548227262 \tabularnewline
0.71 & 17.9886612362234 & 0.160423215908975 \tabularnewline
0.72 & 18.0236449674902 & 0.162719318231158 \tabularnewline
0.73 & 18.0590731445842 & 0.162449585625342 \tabularnewline
0.74 & 18.0944233314948 & 0.159442353085519 \tabularnewline
0.75 & 18.1291760530008 & 0.153885994916173 \tabularnewline
0.76 & 18.162877448953 & 0.1462530069057 \tabularnewline
0.77 & 18.1951950967312 & 0.137250438724927 \tabularnewline
0.78 & 18.225959159153 & 0.127713946140122 \tabularnewline
0.79 & 18.2551839167555 & 0.118494765513672 \tabularnewline
0.8 & 18.2830676959887 & 0.110406819355276 \tabularnewline
0.81 & 18.3099709133625 & 0.10411676298349 \tabularnewline
0.82 & 18.336372280749 & 0.100009313040246 \tabularnewline
0.83 & 18.3628037013242 & 0.0982276407329527 \tabularnewline
0.84 & 18.3897676474892 & 0.0984601316322543 \tabularnewline
0.85 & 18.417648608881 & 0.0999886963028895 \tabularnewline
0.86 & 18.4466408290041 & 0.101774748384843 \tabularnewline
0.87 & 18.4767213308018 & 0.102739897077294 \tabularnewline
0.88 & 18.5076904333535 & 0.102104299366017 \tabularnewline
0.89 & 18.5392756833411 & 0.0996917455642218 \tabularnewline
0.9 & 18.5712570076939 & 0.0960142865281428 \tabularnewline
0.91 & 18.6035465377928 & 0.0919094065589337 \tabularnewline
0.92 & 18.6361767433718 & 0.0879504915697404 \tabularnewline
0.93 & 18.6692177837311 & 0.0839122737495713 \tabularnewline
0.94 & 18.7027040594389 & 0.0791469315741078 \tabularnewline
0.95 & 18.7366163274512 & 0.0734078572215616 \tabularnewline
0.96 & 18.770834835043 & 0.0668786493727094 \tabularnewline
0.97 & 18.8048848660154 & 0.0589295329368488 \tabularnewline
0.98 & 18.8372986788083 & 0.0479500577214998 \tabularnewline
0.99 & 18.864444437969 & 0.0356992103286007 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212617&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]15.1757248314176[/C][C]0.103403963854387[/C][/ROW]
[ROW][C]0.02[/C][C]15.2391765559685[/C][C]0.0852681098694787[/C][/ROW]
[ROW][C]0.03[/C][C]15.2952645821255[/C][C]0.0702218211699727[/C][/ROW]
[ROW][C]0.04[/C][C]15.3381170056011[/C][C]0.0601317698626018[/C][/ROW]
[ROW][C]0.05[/C][C]15.37134053251[/C][C]0.0572571325097263[/C][/ROW]
[ROW][C]0.06[/C][C]15.3999176217253[/C][C]0.0622253553606087[/C][/ROW]
[ROW][C]0.07[/C][C]15.4277274236604[/C][C]0.0732660102034453[/C][/ROW]
[ROW][C]0.08[/C][C]15.4572645862242[/C][C]0.087706548011477[/C][/ROW]
[ROW][C]0.09[/C][C]15.4898378532774[/C][C]0.103345804259635[/C][/ROW]
[ROW][C]0.1[/C][C]15.525865968838[/C][C]0.11880087870109[/C][/ROW]
[ROW][C]0.11[/C][C]15.5651651910233[/C][C]0.133097907513528[/C][/ROW]
[ROW][C]0.12[/C][C]15.6071565241519[/C][C]0.145193860931908[/C][/ROW]
[ROW][C]0.13[/C][C]15.6509832209446[/C][C]0.153959816172759[/C][/ROW]
[ROW][C]0.14[/C][C]15.6955905427364[/C][C]0.158375941633674[/C][/ROW]
[ROW][C]0.15[/C][C]15.739828662816[/C][C]0.157976769237264[/C][/ROW]
[ROW][C]0.16[/C][C]15.7826001961099[/C][C]0.153132635452901[/C][/ROW]
[ROW][C]0.17[/C][C]15.8230256976882[/C][C]0.145023458395579[/C][/ROW]
[ROW][C]0.18[/C][C]15.8605776538108[/C][C]0.135354300948894[/C][/ROW]
[ROW][C]0.19[/C][C]15.8951436810082[/C][C]0.125987610471872[/C][/ROW]
[ROW][C]0.2[/C][C]15.9270087407437[/C][C]0.11859525136196[/C][/ROW]
[ROW][C]0.21[/C][C]15.9567742278912[/C][C]0.114374850279286[/C][/ROW]
[ROW][C]0.22[/C][C]15.9852459126614[/C][C]0.114033475197345[/C][/ROW]
[ROW][C]0.23[/C][C]16.0133210490402[/C][C]0.117638693247217[/C][/ROW]
[ROW][C]0.24[/C][C]16.0418935214571[/C][C]0.12510820468764[/C][/ROW]
[ROW][C]0.25[/C][C]16.0717828885672[/C][C]0.135965827077245[/C][/ROW]
[ROW][C]0.26[/C][C]16.1036845066208[/C][C]0.149540952824789[/C][/ROW]
[ROW][C]0.27[/C][C]16.138135411604[/C][C]0.165090092742524[/C][/ROW]
[ROW][C]0.28[/C][C]16.1754927009171[/C][C]0.181725136937757[/C][/ROW]
[ROW][C]0.29[/C][C]16.2159245975485[/C][C]0.198511980105171[/C][/ROW]
[ROW][C]0.3[/C][C]16.2594163642575[/C][C]0.214625230259349[/C][/ROW]
[ROW][C]0.31[/C][C]16.305792466009[/C][C]0.229319578997192[/C][/ROW]
[ROW][C]0.32[/C][C]16.3547533151221[/C][C]0.242180927227404[/C][/ROW]
[ROW][C]0.33[/C][C]16.4059212005022[/C][C]0.252980219620814[/C][/ROW]
[ROW][C]0.34[/C][C]16.4588874299341[/C][C]0.261743453096647[/C][/ROW]
[ROW][C]0.35[/C][C]16.5132524775248[/C][C]0.268672843625213[/C][/ROW]
[ROW][C]0.36[/C][C]16.5686531212674[/C][C]0.274027369407249[/C][/ROW]
[ROW][C]0.37[/C][C]16.6247742950175[/C][C]0.278048627738455[/C][/ROW]
[ROW][C]0.38[/C][C]16.6813472961281[/C][C]0.28096581504665[/C][/ROW]
[ROW][C]0.39[/C][C]16.7381388368397[/C][C]0.282773276800182[/C][/ROW]
[ROW][C]0.4[/C][C]16.7949365274322[/C][C]0.283552910347268[/C][/ROW]
[ROW][C]0.41[/C][C]16.8515357654835[/C][C]0.28321405210455[/C][/ROW]
[ROW][C]0.42[/C][C]16.9077312576791[/C][C]0.281676960008508[/C][/ROW]
[ROW][C]0.43[/C][C]16.9633143089577[/C][C]0.278947001598693[/C][/ROW]
[ROW][C]0.44[/C][C]17.0180752497752[/C][C]0.275006953085583[/C][/ROW]
[ROW][C]0.45[/C][C]17.0718092949687[/C][C]0.269898144681628[/C][/ROW]
[ROW][C]0.46[/C][C]17.1243237687692[/C][C]0.26366660927692[/C][/ROW]
[ROW][C]0.47[/C][C]17.1754448113389[/C][C]0.256522878710602[/C][/ROW]
[ROW][C]0.48[/C][C]17.2250221712523[/C][C]0.248536620502111[/C][/ROW]
[ROW][C]0.49[/C][C]17.2729313136789[/C][C]0.239918086127501[/C][/ROW]
[ROW][C]0.5[/C][C]17.3190727510316[/C][C]0.230755781278671[/C][/ROW]
[ROW][C]0.51[/C][C]17.3633691899297[/C][C]0.221196028752632[/C][/ROW]
[ROW][C]0.52[/C][C]17.4057617195847[/C][C]0.211363330058468[/C][/ROW]
[ROW][C]0.53[/C][C]17.446206714645[/C][C]0.201266460795838[/C][/ROW]
[ROW][C]0.54[/C][C]17.4846752231841[/C][C]0.191019541994498[/C][/ROW]
[ROW][C]0.55[/C][C]17.5211562256229[/C][C]0.180641478592185[/C][/ROW]
[ROW][C]0.56[/C][C]17.5556642722952[/C][C]0.170304743130443[/C][/ROW]
[ROW][C]0.57[/C][C]17.5882507972975[/C][C]0.160180931116368[/C][/ROW]
[ROW][C]0.58[/C][C]17.6190171753848[/C][C]0.150532523498545[/C][/ROW]
[ROW][C]0.59[/C][C]17.6481267025178[/C][C]0.141707139770965[/C][/ROW]
[ROW][C]0.6[/C][C]17.6758124247166[/C][C]0.13412878722022[/C][/ROW]
[ROW][C]0.61[/C][C]17.7023782044207[/C][C]0.128220439459444[/C][/ROW]
[ROW][C]0.62[/C][C]17.7281914531443[/C][C]0.12429187035882[/C][/ROW]
[ROW][C]0.63[/C][C]17.7536672521808[/C][C]0.122581781145873[/C][/ROW]
[ROW][C]0.64[/C][C]17.7792447713142[/C][C]0.123181443914284[/C][/ROW]
[ROW][C]0.65[/C][C]17.8053577429591[/C][C]0.12594660665989[/C][/ROW]
[ROW][C]0.66[/C][C]17.8324012411523[/C][C]0.130562531751445[/C][/ROW]
[ROW][C]0.67[/C][C]17.8606973394201[/C][C]0.136537366373089[/C][/ROW]
[ROW][C]0.68[/C][C]17.8904626286626[/C][C]0.143249797138013[/C][/ROW]
[ROW][C]0.69[/C][C]17.9217811763056[/C][C]0.150011115308648[/C][/ROW]
[ROW][C]0.7[/C][C]17.9545871194675[/C][C]0.155968548227262[/C][/ROW]
[ROW][C]0.71[/C][C]17.9886612362234[/C][C]0.160423215908975[/C][/ROW]
[ROW][C]0.72[/C][C]18.0236449674902[/C][C]0.162719318231158[/C][/ROW]
[ROW][C]0.73[/C][C]18.0590731445842[/C][C]0.162449585625342[/C][/ROW]
[ROW][C]0.74[/C][C]18.0944233314948[/C][C]0.159442353085519[/C][/ROW]
[ROW][C]0.75[/C][C]18.1291760530008[/C][C]0.153885994916173[/C][/ROW]
[ROW][C]0.76[/C][C]18.162877448953[/C][C]0.1462530069057[/C][/ROW]
[ROW][C]0.77[/C][C]18.1951950967312[/C][C]0.137250438724927[/C][/ROW]
[ROW][C]0.78[/C][C]18.225959159153[/C][C]0.127713946140122[/C][/ROW]
[ROW][C]0.79[/C][C]18.2551839167555[/C][C]0.118494765513672[/C][/ROW]
[ROW][C]0.8[/C][C]18.2830676959887[/C][C]0.110406819355276[/C][/ROW]
[ROW][C]0.81[/C][C]18.3099709133625[/C][C]0.10411676298349[/C][/ROW]
[ROW][C]0.82[/C][C]18.336372280749[/C][C]0.100009313040246[/C][/ROW]
[ROW][C]0.83[/C][C]18.3628037013242[/C][C]0.0982276407329527[/C][/ROW]
[ROW][C]0.84[/C][C]18.3897676474892[/C][C]0.0984601316322543[/C][/ROW]
[ROW][C]0.85[/C][C]18.417648608881[/C][C]0.0999886963028895[/C][/ROW]
[ROW][C]0.86[/C][C]18.4466408290041[/C][C]0.101774748384843[/C][/ROW]
[ROW][C]0.87[/C][C]18.4767213308018[/C][C]0.102739897077294[/C][/ROW]
[ROW][C]0.88[/C][C]18.5076904333535[/C][C]0.102104299366017[/C][/ROW]
[ROW][C]0.89[/C][C]18.5392756833411[/C][C]0.0996917455642218[/C][/ROW]
[ROW][C]0.9[/C][C]18.5712570076939[/C][C]0.0960142865281428[/C][/ROW]
[ROW][C]0.91[/C][C]18.6035465377928[/C][C]0.0919094065589337[/C][/ROW]
[ROW][C]0.92[/C][C]18.6361767433718[/C][C]0.0879504915697404[/C][/ROW]
[ROW][C]0.93[/C][C]18.6692177837311[/C][C]0.0839122737495713[/C][/ROW]
[ROW][C]0.94[/C][C]18.7027040594389[/C][C]0.0791469315741078[/C][/ROW]
[ROW][C]0.95[/C][C]18.7366163274512[/C][C]0.0734078572215616[/C][/ROW]
[ROW][C]0.96[/C][C]18.770834835043[/C][C]0.0668786493727094[/C][/ROW]
[ROW][C]0.97[/C][C]18.8048848660154[/C][C]0.0589295329368488[/C][/ROW]
[ROW][C]0.98[/C][C]18.8372986788083[/C][C]0.0479500577214998[/C][/ROW]
[ROW][C]0.99[/C][C]18.864444437969[/C][C]0.0356992103286007[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212617&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212617&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
0.0115.17572483141760.103403963854387
0.0215.23917655596850.0852681098694787
0.0315.29526458212550.0702218211699727
0.0415.33811700560110.0601317698626018
0.0515.371340532510.0572571325097263
0.0615.39991762172530.0622253553606087
0.0715.42772742366040.0732660102034453
0.0815.45726458622420.087706548011477
0.0915.48983785327740.103345804259635
0.115.5258659688380.11880087870109
0.1115.56516519102330.133097907513528
0.1215.60715652415190.145193860931908
0.1315.65098322094460.153959816172759
0.1415.69559054273640.158375941633674
0.1515.7398286628160.157976769237264
0.1615.78260019610990.153132635452901
0.1715.82302569768820.145023458395579
0.1815.86057765381080.135354300948894
0.1915.89514368100820.125987610471872
0.215.92700874074370.11859525136196
0.2115.95677422789120.114374850279286
0.2215.98524591266140.114033475197345
0.2316.01332104904020.117638693247217
0.2416.04189352145710.12510820468764
0.2516.07178288856720.135965827077245
0.2616.10368450662080.149540952824789
0.2716.1381354116040.165090092742524
0.2816.17549270091710.181725136937757
0.2916.21592459754850.198511980105171
0.316.25941636425750.214625230259349
0.3116.3057924660090.229319578997192
0.3216.35475331512210.242180927227404
0.3316.40592120050220.252980219620814
0.3416.45888742993410.261743453096647
0.3516.51325247752480.268672843625213
0.3616.56865312126740.274027369407249
0.3716.62477429501750.278048627738455
0.3816.68134729612810.28096581504665
0.3916.73813883683970.282773276800182
0.416.79493652743220.283552910347268
0.4116.85153576548350.28321405210455
0.4216.90773125767910.281676960008508
0.4316.96331430895770.278947001598693
0.4417.01807524977520.275006953085583
0.4517.07180929496870.269898144681628
0.4617.12432376876920.26366660927692
0.4717.17544481133890.256522878710602
0.4817.22502217125230.248536620502111
0.4917.27293131367890.239918086127501
0.517.31907275103160.230755781278671
0.5117.36336918992970.221196028752632
0.5217.40576171958470.211363330058468
0.5317.4462067146450.201266460795838
0.5417.48467522318410.191019541994498
0.5517.52115622562290.180641478592185
0.5617.55566427229520.170304743130443
0.5717.58825079729750.160180931116368
0.5817.61901717538480.150532523498545
0.5917.64812670251780.141707139770965
0.617.67581242471660.13412878722022
0.6117.70237820442070.128220439459444
0.6217.72819145314430.12429187035882
0.6317.75366725218080.122581781145873
0.6417.77924477131420.123181443914284
0.6517.80535774295910.12594660665989
0.6617.83240124115230.130562531751445
0.6717.86069733942010.136537366373089
0.6817.89046262866260.143249797138013
0.6917.92178117630560.150011115308648
0.717.95458711946750.155968548227262
0.7117.98866123622340.160423215908975
0.7218.02364496749020.162719318231158
0.7318.05907314458420.162449585625342
0.7418.09442333149480.159442353085519
0.7518.12917605300080.153885994916173
0.7618.1628774489530.1462530069057
0.7718.19519509673120.137250438724927
0.7818.2259591591530.127713946140122
0.7918.25518391675550.118494765513672
0.818.28306769598870.110406819355276
0.8118.30997091336250.10411676298349
0.8218.3363722807490.100009313040246
0.8318.36280370132420.0982276407329527
0.8418.38976764748920.0984601316322543
0.8518.4176486088810.0999886963028895
0.8618.44664082900410.101774748384843
0.8718.47672133080180.102739897077294
0.8818.50769043335350.102104299366017
0.8918.53927568334110.0996917455642218
0.918.57125700769390.0960142865281428
0.9118.60354653779280.0919094065589337
0.9218.63617674337180.0879504915697404
0.9318.66921778373110.0839122737495713
0.9418.70270405943890.0791469315741078
0.9518.73661632745120.0734078572215616
0.9618.7708348350430.0668786493727094
0.9718.80488486601540.0589295329368488
0.9818.83729867880830.0479500577214998
0.9918.8644444379690.0356992103286007


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')