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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, 09 Oct 2012 07:08:58 -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/09/t13497809619on529hm7vbsg18.htm/, Retrieved Wed, 01 May 2024 14:56:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174529, Retrieved Wed, 01 May 2024 14:56:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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] [] [2012-10-08 19:08:50] [28c6e8aa27b151407c47740a049ee208]
- R  D    [Harrell-Davis Quantiles] [] [2012-10-09 11:08:58] [d41d8cd98f00b204e9800998ecf8427e] [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
17,98
18,1
18,14
18,19
18,23
18,24
18,27
18,3
18,34
18,36
18,36
18,4

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=174529&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=174529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174529&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
0.0115.16729599691970.105820864888307
0.0215.22117802677020.0899983856023226
0.0315.27300057967020.075927416618579
0.0415.31527661144520.0648046827523691
0.0515.34845907727790.0580154822906961
0.0615.37561536742620.0568577181534245
0.0715.39983515288870.0614070397166086
0.0815.42351647677780.0704433572574479
0.0915.44829899040210.0822349608748795
0.115.47515523054480.095283793324512
0.1115.5045267270170.10856609597694
0.1215.53646836093660.121439220813552
0.1315.57076809575970.133313850719054
0.1415.60702383516520.143551386238121
0.1515.64468465603280.151366115134768
0.1615.68308119809150.156028914228971
0.1715.72146970182530.15710214869412
0.1815.75909975121730.154590982855629
0.1915.79529806161760.148996071664882
0.215.8295494193610.141215875248963
0.2115.86155505751920.132427580593486
0.2215.89125636565970.12384323578752
0.2315.91882278540280.116552238233502
0.2415.94461201899670.11138818261935
0.2515.96911535622130.10889600135689
0.2615.99290064581550.109330179100216
0.2716.01656171615860.112720570060469
0.2816.04067814010170.1188759655668
0.2916.0657851212360.127540894195673
0.316.09235107126250.138355847243506
0.3116.12076028355030.150854217491126
0.3216.1512993642290.164477118663646
0.3316.18414778558590.178650950412614
0.3416.219374163270.192721401139031
0.3516.25694007284310.206146771829291
0.3616.29671233884210.21840788694245
0.3716.33848310777930.229242940159291
0.3816.38199526146810.238402106770664
0.3916.42696945694950.245945433257417
0.416.47312871399860.252009798911212
0.4116.52021711161680.256765191064938
0.4216.56801058047780.260478279075969
0.4316.6163195495120.263308816210321
0.4416.6649848248860.265408987889285
0.4516.7138691545370.266828561001009
0.4616.76284727582390.267568953187178
0.4716.81179690503780.267523166403933
0.4816.86059233147740.26669776004569
0.4916.90910132838660.265012208436438
0.516.9571852601670.262428760209033
0.5117.0047017144430.258927316222294
0.5217.05150875119740.254553602135594
0.5317.09746986556480.249323868798357
0.5417.14245888402870.24334398493695
0.5517.18636414881770.236726380720812
0.5617.22909144438460.229540363084722
0.5717.27056520482470.221948915598997
0.5817.31072768033670.21404763254221
0.5917.34953600416930.205931040243406
0.617.38695751242650.19771910267954
0.6117.42296417415280.189367506330669
0.6217.45752745820310.180931275920943
0.6317.4906152242280.172326755648867
0.6417.52219212228140.163519689912095
0.6517.55222444522480.154491268877696
0.6617.5806894545730.145302985808603
0.6717.6075880852780.136057354844006
0.6817.63295891947680.127000572038619
0.6917.65689071620270.118388986385008
0.717.67953082837810.110595965983003
0.7117.70108759559130.103946425037715
0.7217.72182611405440.0987700015948406
0.7317.74205828317870.0952869636393801
0.7417.76212921095830.0935866642257302
0.7517.78240244829940.0936464073447381
0.7617.8032458452310.0953661759392205
0.7717.8250181890830.0985694014784875
0.7817.84805476507120.103061621827832
0.7917.87264851697330.108614009977416
0.817.89902361291860.114883357546563
0.8117.92730061636460.121341815782294
0.8217.95745698333670.127324875790849
0.8317.98929202989270.131969235323103
0.8418.0224096809730.134410299468829
0.8518.05623277321840.133892679785759
0.8618.09005768244740.130003921940836
0.8718.12314748193220.122815141868538
0.8818.15484778934730.11291138284818
0.8918.18469600646790.10136483499879
0.918.21248708605880.0894642139267838
0.9118.23826278514570.0784253554503689
0.9218.26221153537840.0689298418266908
0.9318.28450609110330.0608369794538007
0.9418.30516426010530.0532193428695533
0.9518.32407230818420.0449543428064866
0.9618.3412828811780.0357960942029445
0.9718.35742912480380.027676667962182
0.9818.37351015327620.0255225215866327
0.9918.38908125876260.0317392666272312

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.1672959969197 & 0.105820864888307 \tabularnewline
0.02 & 15.2211780267702 & 0.0899983856023226 \tabularnewline
0.03 & 15.2730005796702 & 0.075927416618579 \tabularnewline
0.04 & 15.3152766114452 & 0.0648046827523691 \tabularnewline
0.05 & 15.3484590772779 & 0.0580154822906961 \tabularnewline
0.06 & 15.3756153674262 & 0.0568577181534245 \tabularnewline
0.07 & 15.3998351528887 & 0.0614070397166086 \tabularnewline
0.08 & 15.4235164767778 & 0.0704433572574479 \tabularnewline
0.09 & 15.4482989904021 & 0.0822349608748795 \tabularnewline
0.1 & 15.4751552305448 & 0.095283793324512 \tabularnewline
0.11 & 15.504526727017 & 0.10856609597694 \tabularnewline
0.12 & 15.5364683609366 & 0.121439220813552 \tabularnewline
0.13 & 15.5707680957597 & 0.133313850719054 \tabularnewline
0.14 & 15.6070238351652 & 0.143551386238121 \tabularnewline
0.15 & 15.6446846560328 & 0.151366115134768 \tabularnewline
0.16 & 15.6830811980915 & 0.156028914228971 \tabularnewline
0.17 & 15.7214697018253 & 0.15710214869412 \tabularnewline
0.18 & 15.7590997512173 & 0.154590982855629 \tabularnewline
0.19 & 15.7952980616176 & 0.148996071664882 \tabularnewline
0.2 & 15.829549419361 & 0.141215875248963 \tabularnewline
0.21 & 15.8615550575192 & 0.132427580593486 \tabularnewline
0.22 & 15.8912563656597 & 0.12384323578752 \tabularnewline
0.23 & 15.9188227854028 & 0.116552238233502 \tabularnewline
0.24 & 15.9446120189967 & 0.11138818261935 \tabularnewline
0.25 & 15.9691153562213 & 0.10889600135689 \tabularnewline
0.26 & 15.9929006458155 & 0.109330179100216 \tabularnewline
0.27 & 16.0165617161586 & 0.112720570060469 \tabularnewline
0.28 & 16.0406781401017 & 0.1188759655668 \tabularnewline
0.29 & 16.065785121236 & 0.127540894195673 \tabularnewline
0.3 & 16.0923510712625 & 0.138355847243506 \tabularnewline
0.31 & 16.1207602835503 & 0.150854217491126 \tabularnewline
0.32 & 16.151299364229 & 0.164477118663646 \tabularnewline
0.33 & 16.1841477855859 & 0.178650950412614 \tabularnewline
0.34 & 16.21937416327 & 0.192721401139031 \tabularnewline
0.35 & 16.2569400728431 & 0.206146771829291 \tabularnewline
0.36 & 16.2967123388421 & 0.21840788694245 \tabularnewline
0.37 & 16.3384831077793 & 0.229242940159291 \tabularnewline
0.38 & 16.3819952614681 & 0.238402106770664 \tabularnewline
0.39 & 16.4269694569495 & 0.245945433257417 \tabularnewline
0.4 & 16.4731287139986 & 0.252009798911212 \tabularnewline
0.41 & 16.5202171116168 & 0.256765191064938 \tabularnewline
0.42 & 16.5680105804778 & 0.260478279075969 \tabularnewline
0.43 & 16.616319549512 & 0.263308816210321 \tabularnewline
0.44 & 16.664984824886 & 0.265408987889285 \tabularnewline
0.45 & 16.713869154537 & 0.266828561001009 \tabularnewline
0.46 & 16.7628472758239 & 0.267568953187178 \tabularnewline
0.47 & 16.8117969050378 & 0.267523166403933 \tabularnewline
0.48 & 16.8605923314774 & 0.26669776004569 \tabularnewline
0.49 & 16.9091013283866 & 0.265012208436438 \tabularnewline
0.5 & 16.957185260167 & 0.262428760209033 \tabularnewline
0.51 & 17.004701714443 & 0.258927316222294 \tabularnewline
0.52 & 17.0515087511974 & 0.254553602135594 \tabularnewline
0.53 & 17.0974698655648 & 0.249323868798357 \tabularnewline
0.54 & 17.1424588840287 & 0.24334398493695 \tabularnewline
0.55 & 17.1863641488177 & 0.236726380720812 \tabularnewline
0.56 & 17.2290914443846 & 0.229540363084722 \tabularnewline
0.57 & 17.2705652048247 & 0.221948915598997 \tabularnewline
0.58 & 17.3107276803367 & 0.21404763254221 \tabularnewline
0.59 & 17.3495360041693 & 0.205931040243406 \tabularnewline
0.6 & 17.3869575124265 & 0.19771910267954 \tabularnewline
0.61 & 17.4229641741528 & 0.189367506330669 \tabularnewline
0.62 & 17.4575274582031 & 0.180931275920943 \tabularnewline
0.63 & 17.490615224228 & 0.172326755648867 \tabularnewline
0.64 & 17.5221921222814 & 0.163519689912095 \tabularnewline
0.65 & 17.5522244452248 & 0.154491268877696 \tabularnewline
0.66 & 17.580689454573 & 0.145302985808603 \tabularnewline
0.67 & 17.607588085278 & 0.136057354844006 \tabularnewline
0.68 & 17.6329589194768 & 0.127000572038619 \tabularnewline
0.69 & 17.6568907162027 & 0.118388986385008 \tabularnewline
0.7 & 17.6795308283781 & 0.110595965983003 \tabularnewline
0.71 & 17.7010875955913 & 0.103946425037715 \tabularnewline
0.72 & 17.7218261140544 & 0.0987700015948406 \tabularnewline
0.73 & 17.7420582831787 & 0.0952869636393801 \tabularnewline
0.74 & 17.7621292109583 & 0.0935866642257302 \tabularnewline
0.75 & 17.7824024482994 & 0.0936464073447381 \tabularnewline
0.76 & 17.803245845231 & 0.0953661759392205 \tabularnewline
0.77 & 17.825018189083 & 0.0985694014784875 \tabularnewline
0.78 & 17.8480547650712 & 0.103061621827832 \tabularnewline
0.79 & 17.8726485169733 & 0.108614009977416 \tabularnewline
0.8 & 17.8990236129186 & 0.114883357546563 \tabularnewline
0.81 & 17.9273006163646 & 0.121341815782294 \tabularnewline
0.82 & 17.9574569833367 & 0.127324875790849 \tabularnewline
0.83 & 17.9892920298927 & 0.131969235323103 \tabularnewline
0.84 & 18.022409680973 & 0.134410299468829 \tabularnewline
0.85 & 18.0562327732184 & 0.133892679785759 \tabularnewline
0.86 & 18.0900576824474 & 0.130003921940836 \tabularnewline
0.87 & 18.1231474819322 & 0.122815141868538 \tabularnewline
0.88 & 18.1548477893473 & 0.11291138284818 \tabularnewline
0.89 & 18.1846960064679 & 0.10136483499879 \tabularnewline
0.9 & 18.2124870860588 & 0.0894642139267838 \tabularnewline
0.91 & 18.2382627851457 & 0.0784253554503689 \tabularnewline
0.92 & 18.2622115353784 & 0.0689298418266908 \tabularnewline
0.93 & 18.2845060911033 & 0.0608369794538007 \tabularnewline
0.94 & 18.3051642601053 & 0.0532193428695533 \tabularnewline
0.95 & 18.3240723081842 & 0.0449543428064866 \tabularnewline
0.96 & 18.341282881178 & 0.0357960942029445 \tabularnewline
0.97 & 18.3574291248038 & 0.027676667962182 \tabularnewline
0.98 & 18.3735101532762 & 0.0255225215866327 \tabularnewline
0.99 & 18.3890812587626 & 0.0317392666272312 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174529&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]15.1672959969197[/C][C]0.105820864888307[/C][/ROW]
[ROW][C]0.02[/C][C]15.2211780267702[/C][C]0.0899983856023226[/C][/ROW]
[ROW][C]0.03[/C][C]15.2730005796702[/C][C]0.075927416618579[/C][/ROW]
[ROW][C]0.04[/C][C]15.3152766114452[/C][C]0.0648046827523691[/C][/ROW]
[ROW][C]0.05[/C][C]15.3484590772779[/C][C]0.0580154822906961[/C][/ROW]
[ROW][C]0.06[/C][C]15.3756153674262[/C][C]0.0568577181534245[/C][/ROW]
[ROW][C]0.07[/C][C]15.3998351528887[/C][C]0.0614070397166086[/C][/ROW]
[ROW][C]0.08[/C][C]15.4235164767778[/C][C]0.0704433572574479[/C][/ROW]
[ROW][C]0.09[/C][C]15.4482989904021[/C][C]0.0822349608748795[/C][/ROW]
[ROW][C]0.1[/C][C]15.4751552305448[/C][C]0.095283793324512[/C][/ROW]
[ROW][C]0.11[/C][C]15.504526727017[/C][C]0.10856609597694[/C][/ROW]
[ROW][C]0.12[/C][C]15.5364683609366[/C][C]0.121439220813552[/C][/ROW]
[ROW][C]0.13[/C][C]15.5707680957597[/C][C]0.133313850719054[/C][/ROW]
[ROW][C]0.14[/C][C]15.6070238351652[/C][C]0.143551386238121[/C][/ROW]
[ROW][C]0.15[/C][C]15.6446846560328[/C][C]0.151366115134768[/C][/ROW]
[ROW][C]0.16[/C][C]15.6830811980915[/C][C]0.156028914228971[/C][/ROW]
[ROW][C]0.17[/C][C]15.7214697018253[/C][C]0.15710214869412[/C][/ROW]
[ROW][C]0.18[/C][C]15.7590997512173[/C][C]0.154590982855629[/C][/ROW]
[ROW][C]0.19[/C][C]15.7952980616176[/C][C]0.148996071664882[/C][/ROW]
[ROW][C]0.2[/C][C]15.829549419361[/C][C]0.141215875248963[/C][/ROW]
[ROW][C]0.21[/C][C]15.8615550575192[/C][C]0.132427580593486[/C][/ROW]
[ROW][C]0.22[/C][C]15.8912563656597[/C][C]0.12384323578752[/C][/ROW]
[ROW][C]0.23[/C][C]15.9188227854028[/C][C]0.116552238233502[/C][/ROW]
[ROW][C]0.24[/C][C]15.9446120189967[/C][C]0.11138818261935[/C][/ROW]
[ROW][C]0.25[/C][C]15.9691153562213[/C][C]0.10889600135689[/C][/ROW]
[ROW][C]0.26[/C][C]15.9929006458155[/C][C]0.109330179100216[/C][/ROW]
[ROW][C]0.27[/C][C]16.0165617161586[/C][C]0.112720570060469[/C][/ROW]
[ROW][C]0.28[/C][C]16.0406781401017[/C][C]0.1188759655668[/C][/ROW]
[ROW][C]0.29[/C][C]16.065785121236[/C][C]0.127540894195673[/C][/ROW]
[ROW][C]0.3[/C][C]16.0923510712625[/C][C]0.138355847243506[/C][/ROW]
[ROW][C]0.31[/C][C]16.1207602835503[/C][C]0.150854217491126[/C][/ROW]
[ROW][C]0.32[/C][C]16.151299364229[/C][C]0.164477118663646[/C][/ROW]
[ROW][C]0.33[/C][C]16.1841477855859[/C][C]0.178650950412614[/C][/ROW]
[ROW][C]0.34[/C][C]16.21937416327[/C][C]0.192721401139031[/C][/ROW]
[ROW][C]0.35[/C][C]16.2569400728431[/C][C]0.206146771829291[/C][/ROW]
[ROW][C]0.36[/C][C]16.2967123388421[/C][C]0.21840788694245[/C][/ROW]
[ROW][C]0.37[/C][C]16.3384831077793[/C][C]0.229242940159291[/C][/ROW]
[ROW][C]0.38[/C][C]16.3819952614681[/C][C]0.238402106770664[/C][/ROW]
[ROW][C]0.39[/C][C]16.4269694569495[/C][C]0.245945433257417[/C][/ROW]
[ROW][C]0.4[/C][C]16.4731287139986[/C][C]0.252009798911212[/C][/ROW]
[ROW][C]0.41[/C][C]16.5202171116168[/C][C]0.256765191064938[/C][/ROW]
[ROW][C]0.42[/C][C]16.5680105804778[/C][C]0.260478279075969[/C][/ROW]
[ROW][C]0.43[/C][C]16.616319549512[/C][C]0.263308816210321[/C][/ROW]
[ROW][C]0.44[/C][C]16.664984824886[/C][C]0.265408987889285[/C][/ROW]
[ROW][C]0.45[/C][C]16.713869154537[/C][C]0.266828561001009[/C][/ROW]
[ROW][C]0.46[/C][C]16.7628472758239[/C][C]0.267568953187178[/C][/ROW]
[ROW][C]0.47[/C][C]16.8117969050378[/C][C]0.267523166403933[/C][/ROW]
[ROW][C]0.48[/C][C]16.8605923314774[/C][C]0.26669776004569[/C][/ROW]
[ROW][C]0.49[/C][C]16.9091013283866[/C][C]0.265012208436438[/C][/ROW]
[ROW][C]0.5[/C][C]16.957185260167[/C][C]0.262428760209033[/C][/ROW]
[ROW][C]0.51[/C][C]17.004701714443[/C][C]0.258927316222294[/C][/ROW]
[ROW][C]0.52[/C][C]17.0515087511974[/C][C]0.254553602135594[/C][/ROW]
[ROW][C]0.53[/C][C]17.0974698655648[/C][C]0.249323868798357[/C][/ROW]
[ROW][C]0.54[/C][C]17.1424588840287[/C][C]0.24334398493695[/C][/ROW]
[ROW][C]0.55[/C][C]17.1863641488177[/C][C]0.236726380720812[/C][/ROW]
[ROW][C]0.56[/C][C]17.2290914443846[/C][C]0.229540363084722[/C][/ROW]
[ROW][C]0.57[/C][C]17.2705652048247[/C][C]0.221948915598997[/C][/ROW]
[ROW][C]0.58[/C][C]17.3107276803367[/C][C]0.21404763254221[/C][/ROW]
[ROW][C]0.59[/C][C]17.3495360041693[/C][C]0.205931040243406[/C][/ROW]
[ROW][C]0.6[/C][C]17.3869575124265[/C][C]0.19771910267954[/C][/ROW]
[ROW][C]0.61[/C][C]17.4229641741528[/C][C]0.189367506330669[/C][/ROW]
[ROW][C]0.62[/C][C]17.4575274582031[/C][C]0.180931275920943[/C][/ROW]
[ROW][C]0.63[/C][C]17.490615224228[/C][C]0.172326755648867[/C][/ROW]
[ROW][C]0.64[/C][C]17.5221921222814[/C][C]0.163519689912095[/C][/ROW]
[ROW][C]0.65[/C][C]17.5522244452248[/C][C]0.154491268877696[/C][/ROW]
[ROW][C]0.66[/C][C]17.580689454573[/C][C]0.145302985808603[/C][/ROW]
[ROW][C]0.67[/C][C]17.607588085278[/C][C]0.136057354844006[/C][/ROW]
[ROW][C]0.68[/C][C]17.6329589194768[/C][C]0.127000572038619[/C][/ROW]
[ROW][C]0.69[/C][C]17.6568907162027[/C][C]0.118388986385008[/C][/ROW]
[ROW][C]0.7[/C][C]17.6795308283781[/C][C]0.110595965983003[/C][/ROW]
[ROW][C]0.71[/C][C]17.7010875955913[/C][C]0.103946425037715[/C][/ROW]
[ROW][C]0.72[/C][C]17.7218261140544[/C][C]0.0987700015948406[/C][/ROW]
[ROW][C]0.73[/C][C]17.7420582831787[/C][C]0.0952869636393801[/C][/ROW]
[ROW][C]0.74[/C][C]17.7621292109583[/C][C]0.0935866642257302[/C][/ROW]
[ROW][C]0.75[/C][C]17.7824024482994[/C][C]0.0936464073447381[/C][/ROW]
[ROW][C]0.76[/C][C]17.803245845231[/C][C]0.0953661759392205[/C][/ROW]
[ROW][C]0.77[/C][C]17.825018189083[/C][C]0.0985694014784875[/C][/ROW]
[ROW][C]0.78[/C][C]17.8480547650712[/C][C]0.103061621827832[/C][/ROW]
[ROW][C]0.79[/C][C]17.8726485169733[/C][C]0.108614009977416[/C][/ROW]
[ROW][C]0.8[/C][C]17.8990236129186[/C][C]0.114883357546563[/C][/ROW]
[ROW][C]0.81[/C][C]17.9273006163646[/C][C]0.121341815782294[/C][/ROW]
[ROW][C]0.82[/C][C]17.9574569833367[/C][C]0.127324875790849[/C][/ROW]
[ROW][C]0.83[/C][C]17.9892920298927[/C][C]0.131969235323103[/C][/ROW]
[ROW][C]0.84[/C][C]18.022409680973[/C][C]0.134410299468829[/C][/ROW]
[ROW][C]0.85[/C][C]18.0562327732184[/C][C]0.133892679785759[/C][/ROW]
[ROW][C]0.86[/C][C]18.0900576824474[/C][C]0.130003921940836[/C][/ROW]
[ROW][C]0.87[/C][C]18.1231474819322[/C][C]0.122815141868538[/C][/ROW]
[ROW][C]0.88[/C][C]18.1548477893473[/C][C]0.11291138284818[/C][/ROW]
[ROW][C]0.89[/C][C]18.1846960064679[/C][C]0.10136483499879[/C][/ROW]
[ROW][C]0.9[/C][C]18.2124870860588[/C][C]0.0894642139267838[/C][/ROW]
[ROW][C]0.91[/C][C]18.2382627851457[/C][C]0.0784253554503689[/C][/ROW]
[ROW][C]0.92[/C][C]18.2622115353784[/C][C]0.0689298418266908[/C][/ROW]
[ROW][C]0.93[/C][C]18.2845060911033[/C][C]0.0608369794538007[/C][/ROW]
[ROW][C]0.94[/C][C]18.3051642601053[/C][C]0.0532193428695533[/C][/ROW]
[ROW][C]0.95[/C][C]18.3240723081842[/C][C]0.0449543428064866[/C][/ROW]
[ROW][C]0.96[/C][C]18.341282881178[/C][C]0.0357960942029445[/C][/ROW]
[ROW][C]0.97[/C][C]18.3574291248038[/C][C]0.027676667962182[/C][/ROW]
[ROW][C]0.98[/C][C]18.3735101532762[/C][C]0.0255225215866327[/C][/ROW]
[ROW][C]0.99[/C][C]18.3890812587626[/C][C]0.0317392666272312[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174529&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
0.0115.16729599691970.105820864888307
0.0215.22117802677020.0899983856023226
0.0315.27300057967020.075927416618579
0.0415.31527661144520.0648046827523691
0.0515.34845907727790.0580154822906961
0.0615.37561536742620.0568577181534245
0.0715.39983515288870.0614070397166086
0.0815.42351647677780.0704433572574479
0.0915.44829899040210.0822349608748795
0.115.47515523054480.095283793324512
0.1115.5045267270170.10856609597694
0.1215.53646836093660.121439220813552
0.1315.57076809575970.133313850719054
0.1415.60702383516520.143551386238121
0.1515.64468465603280.151366115134768
0.1615.68308119809150.156028914228971
0.1715.72146970182530.15710214869412
0.1815.75909975121730.154590982855629
0.1915.79529806161760.148996071664882
0.215.8295494193610.141215875248963
0.2115.86155505751920.132427580593486
0.2215.89125636565970.12384323578752
0.2315.91882278540280.116552238233502
0.2415.94461201899670.11138818261935
0.2515.96911535622130.10889600135689
0.2615.99290064581550.109330179100216
0.2716.01656171615860.112720570060469
0.2816.04067814010170.1188759655668
0.2916.0657851212360.127540894195673
0.316.09235107126250.138355847243506
0.3116.12076028355030.150854217491126
0.3216.1512993642290.164477118663646
0.3316.18414778558590.178650950412614
0.3416.219374163270.192721401139031
0.3516.25694007284310.206146771829291
0.3616.29671233884210.21840788694245
0.3716.33848310777930.229242940159291
0.3816.38199526146810.238402106770664
0.3916.42696945694950.245945433257417
0.416.47312871399860.252009798911212
0.4116.52021711161680.256765191064938
0.4216.56801058047780.260478279075969
0.4316.6163195495120.263308816210321
0.4416.6649848248860.265408987889285
0.4516.7138691545370.266828561001009
0.4616.76284727582390.267568953187178
0.4716.81179690503780.267523166403933
0.4816.86059233147740.26669776004569
0.4916.90910132838660.265012208436438
0.516.9571852601670.262428760209033
0.5117.0047017144430.258927316222294
0.5217.05150875119740.254553602135594
0.5317.09746986556480.249323868798357
0.5417.14245888402870.24334398493695
0.5517.18636414881770.236726380720812
0.5617.22909144438460.229540363084722
0.5717.27056520482470.221948915598997
0.5817.31072768033670.21404763254221
0.5917.34953600416930.205931040243406
0.617.38695751242650.19771910267954
0.6117.42296417415280.189367506330669
0.6217.45752745820310.180931275920943
0.6317.4906152242280.172326755648867
0.6417.52219212228140.163519689912095
0.6517.55222444522480.154491268877696
0.6617.5806894545730.145302985808603
0.6717.6075880852780.136057354844006
0.6817.63295891947680.127000572038619
0.6917.65689071620270.118388986385008
0.717.67953082837810.110595965983003
0.7117.70108759559130.103946425037715
0.7217.72182611405440.0987700015948406
0.7317.74205828317870.0952869636393801
0.7417.76212921095830.0935866642257302
0.7517.78240244829940.0936464073447381
0.7617.8032458452310.0953661759392205
0.7717.8250181890830.0985694014784875
0.7817.84805476507120.103061621827832
0.7917.87264851697330.108614009977416
0.817.89902361291860.114883357546563
0.8117.92730061636460.121341815782294
0.8217.95745698333670.127324875790849
0.8317.98929202989270.131969235323103
0.8418.0224096809730.134410299468829
0.8518.05623277321840.133892679785759
0.8618.09005768244740.130003921940836
0.8718.12314748193220.122815141868538
0.8818.15484778934730.11291138284818
0.8918.18469600646790.10136483499879
0.918.21248708605880.0894642139267838
0.9118.23826278514570.0784253554503689
0.9218.26221153537840.0689298418266908
0.9318.28450609110330.0608369794538007
0.9418.30516426010530.0532193428695533
0.9518.32407230818420.0449543428064866
0.9618.3412828811780.0357960942029445
0.9718.35742912480380.027676667962182
0.9818.37351015327620.0255225215866327
0.9918.38908125876260.0317392666272312


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')