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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 computationSun, 19 Feb 2012 08:56:28 -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/19/t1329659821b660n212dgi7in6.htm/, Retrieved Sat, 27 Apr 2024 09:50:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162837, Retrieved Sat, 27 Apr 2024 09:50:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact185

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] [H-D Percentielen ...] [2012-02-19 13:27:10] [4e42023307664030ec073559bc7b7ff1]
-    D  [Harrell-Davis Quantiles] [H-D Decielen Gem....] [2012-02-19 13:51:32] [4e42023307664030ec073559bc7b7ff1]
- R  D      [Harrell-Davis Quantiles] [H-D Percentielen ...] [2012-02-19 13:56:28] [f106610dfea1594537338d6093b30ca7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.81
6.8
6.8
6.85
6.85
6.85
6.85
6.85
6.85
6.86
6.86
6.88
6.88
6.88
6.91
6.91
6.91
6.91
6.99
6.99
6.99
7.02
7.02
7.05
7.05
7.05
7.05
7.1
7.1
7.1
7.1
7.12
7.13
7.18
7.24
7.24
7.24
7.27
7.27
7.27
7.27
7.3
7.3
7.57
7.76
7.94
7.94
7.96
7.96
7.98
7.99
8
8
8.04
8.04
8.04
8.04
8.04
8.07
8.07

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=162837&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=162837&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162837&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
0.016.801314995118130.00431490475009353
0.026.804574805328940.0107402506621142
0.036.809896962662920.0166709191423929
0.046.816723060094810.0201036317592576
0.056.824119120637180.0204355877144091
0.066.831167415461060.0182786625158363
0.076.837242735982410.0148408192880766
0.086.842101642841950.011309519238481
0.096.845823034578380.0085487307876224
0.16.848680723222350.00705918852659452
0.116.851017187696320.00695665355899904
0.126.853154549603330.00792968705922765
0.136.855349152940390.00954810603126999
0.146.857779898065210.0115257491385106
0.156.860556401138970.0136743889493135
0.166.863735601726130.0158945618497677
0.176.867339750265420.0181348919150217
0.186.87137222097360.0203883891300591
0.196.875829698429250.0226778142728436
0.26.880710312247540.0250517147666885
0.216.886017768262030.0275593658648681
0.226.891761816075360.0302320312159339
0.236.897955663239690.0330761668741825
0.246.904611214092640.0360539628596892
0.256.91173322821840.0390903345204277
0.266.919313597012440.0420657380668711
0.276.927326879432730.0448496590079187
0.286.935728004132330.0472963629926906
0.296.944452659433630.0492841969299364
0.36.953420418633460.0507172614253074
0.316.962540175809120.0515560236064
0.326.971717090617460.0517903858728358
0.336.980860032554320.0514806687325509
0.346.989888508356610.0507215395166253
0.356.998738235683830.0496229405338253
0.367.007364836235310.0483307884731454
0.377.015745483290310.0469746960473339
0.387.023878672015240.0456845665858047
0.397.031782522599830.0445674920412143
0.47.039492141539620.0437144747173284
0.417.047056551430060.0431858835591194
0.427.054535577749140.0430449063117077
0.437.061996894591580.0433112020087709
0.447.069513232169030.0440206005706685
0.457.077159589445320.0451812524736057
0.467.085010219378980.0467796663364068
0.477.09313518923480.0487961369495973
0.487.101596468730380.0511823587160442
0.497.110443742627530.0538424539093769
0.57.119710435199890.0566506037297205
0.517.129410707398420.0594742681375204
0.527.13953837302860.0621442006921227
0.537.150068715516480.0645188048329369
0.547.160964030815470.06649356616551
0.557.172183363588860.0680403686617586
0.567.183696364182260.0692094191899523
0.577.195500522859330.070196175476605
0.587.207640306472510.0713240839028056
0.597.220226016467980.0730743760851685
0.67.233449600788740.0760582240491061
0.617.247594288854580.0809659536123643
0.627.26303488794840.0884479838866236
0.637.280225990027350.099003740595938
0.647.299676280102120.112846556235625
0.657.321908649304510.129868606399012
0.667.347407842449210.149585262204096
0.677.376559722966470.171168875854169
0.687.409588577398520.193463523591778
0.697.446500737018610.215031028379443
0.77.487043639661620.234304182890743
0.717.53068883260460.249700501181535
0.727.576645086438750.259819391983934
0.737.623903858856920.263611065366846
0.747.671314338873010.260529615491319
0.757.717680108570550.250631588068385
0.767.761865175006790.234570540057362
0.777.802894780293210.213542376686417
0.787.840036668357010.189116598207934
0.797.872851464980660.163056627653336
0.87.901205949831360.137095082566615
0.817.925249171880350.112735933209012
0.827.945357262425830.0911249580965643
0.837.96205726913220.07295361380067
0.847.975942687069710.058457753521258
0.857.987593530879290.0474446638339786
0.867.997512211856060.0393582146083487
0.878.006083791989570.0334104723839592
0.888.013565874454080.0287506317771472
0.898.020109563759590.024685079813718
0.98.025808251991990.0208105699541019
0.918.030764773936040.0170619024063344
0.928.035159026943920.0137177603840621
0.938.03928785886910.0113721882543838
0.948.043540974131540.010771993350578
0.958.048282135580060.01200821056771
0.968.053642179292070.0138351204778843
0.978.059309542284250.0142395437607049
0.988.064493315383070.0114961536688915
0.998.068231340318260.00571844438177463

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80131499511813 & 0.00431490475009353 \tabularnewline
0.02 & 6.80457480532894 & 0.0107402506621142 \tabularnewline
0.03 & 6.80989696266292 & 0.0166709191423929 \tabularnewline
0.04 & 6.81672306009481 & 0.0201036317592576 \tabularnewline
0.05 & 6.82411912063718 & 0.0204355877144091 \tabularnewline
0.06 & 6.83116741546106 & 0.0182786625158363 \tabularnewline
0.07 & 6.83724273598241 & 0.0148408192880766 \tabularnewline
0.08 & 6.84210164284195 & 0.011309519238481 \tabularnewline
0.09 & 6.84582303457838 & 0.0085487307876224 \tabularnewline
0.1 & 6.84868072322235 & 0.00705918852659452 \tabularnewline
0.11 & 6.85101718769632 & 0.00695665355899904 \tabularnewline
0.12 & 6.85315454960333 & 0.00792968705922765 \tabularnewline
0.13 & 6.85534915294039 & 0.00954810603126999 \tabularnewline
0.14 & 6.85777989806521 & 0.0115257491385106 \tabularnewline
0.15 & 6.86055640113897 & 0.0136743889493135 \tabularnewline
0.16 & 6.86373560172613 & 0.0158945618497677 \tabularnewline
0.17 & 6.86733975026542 & 0.0181348919150217 \tabularnewline
0.18 & 6.8713722209736 & 0.0203883891300591 \tabularnewline
0.19 & 6.87582969842925 & 0.0226778142728436 \tabularnewline
0.2 & 6.88071031224754 & 0.0250517147666885 \tabularnewline
0.21 & 6.88601776826203 & 0.0275593658648681 \tabularnewline
0.22 & 6.89176181607536 & 0.0302320312159339 \tabularnewline
0.23 & 6.89795566323969 & 0.0330761668741825 \tabularnewline
0.24 & 6.90461121409264 & 0.0360539628596892 \tabularnewline
0.25 & 6.9117332282184 & 0.0390903345204277 \tabularnewline
0.26 & 6.91931359701244 & 0.0420657380668711 \tabularnewline
0.27 & 6.92732687943273 & 0.0448496590079187 \tabularnewline
0.28 & 6.93572800413233 & 0.0472963629926906 \tabularnewline
0.29 & 6.94445265943363 & 0.0492841969299364 \tabularnewline
0.3 & 6.95342041863346 & 0.0507172614253074 \tabularnewline
0.31 & 6.96254017580912 & 0.0515560236064 \tabularnewline
0.32 & 6.97171709061746 & 0.0517903858728358 \tabularnewline
0.33 & 6.98086003255432 & 0.0514806687325509 \tabularnewline
0.34 & 6.98988850835661 & 0.0507215395166253 \tabularnewline
0.35 & 6.99873823568383 & 0.0496229405338253 \tabularnewline
0.36 & 7.00736483623531 & 0.0483307884731454 \tabularnewline
0.37 & 7.01574548329031 & 0.0469746960473339 \tabularnewline
0.38 & 7.02387867201524 & 0.0456845665858047 \tabularnewline
0.39 & 7.03178252259983 & 0.0445674920412143 \tabularnewline
0.4 & 7.03949214153962 & 0.0437144747173284 \tabularnewline
0.41 & 7.04705655143006 & 0.0431858835591194 \tabularnewline
0.42 & 7.05453557774914 & 0.0430449063117077 \tabularnewline
0.43 & 7.06199689459158 & 0.0433112020087709 \tabularnewline
0.44 & 7.06951323216903 & 0.0440206005706685 \tabularnewline
0.45 & 7.07715958944532 & 0.0451812524736057 \tabularnewline
0.46 & 7.08501021937898 & 0.0467796663364068 \tabularnewline
0.47 & 7.0931351892348 & 0.0487961369495973 \tabularnewline
0.48 & 7.10159646873038 & 0.0511823587160442 \tabularnewline
0.49 & 7.11044374262753 & 0.0538424539093769 \tabularnewline
0.5 & 7.11971043519989 & 0.0566506037297205 \tabularnewline
0.51 & 7.12941070739842 & 0.0594742681375204 \tabularnewline
0.52 & 7.1395383730286 & 0.0621442006921227 \tabularnewline
0.53 & 7.15006871551648 & 0.0645188048329369 \tabularnewline
0.54 & 7.16096403081547 & 0.06649356616551 \tabularnewline
0.55 & 7.17218336358886 & 0.0680403686617586 \tabularnewline
0.56 & 7.18369636418226 & 0.0692094191899523 \tabularnewline
0.57 & 7.19550052285933 & 0.070196175476605 \tabularnewline
0.58 & 7.20764030647251 & 0.0713240839028056 \tabularnewline
0.59 & 7.22022601646798 & 0.0730743760851685 \tabularnewline
0.6 & 7.23344960078874 & 0.0760582240491061 \tabularnewline
0.61 & 7.24759428885458 & 0.0809659536123643 \tabularnewline
0.62 & 7.2630348879484 & 0.0884479838866236 \tabularnewline
0.63 & 7.28022599002735 & 0.099003740595938 \tabularnewline
0.64 & 7.29967628010212 & 0.112846556235625 \tabularnewline
0.65 & 7.32190864930451 & 0.129868606399012 \tabularnewline
0.66 & 7.34740784244921 & 0.149585262204096 \tabularnewline
0.67 & 7.37655972296647 & 0.171168875854169 \tabularnewline
0.68 & 7.40958857739852 & 0.193463523591778 \tabularnewline
0.69 & 7.44650073701861 & 0.215031028379443 \tabularnewline
0.7 & 7.48704363966162 & 0.234304182890743 \tabularnewline
0.71 & 7.5306888326046 & 0.249700501181535 \tabularnewline
0.72 & 7.57664508643875 & 0.259819391983934 \tabularnewline
0.73 & 7.62390385885692 & 0.263611065366846 \tabularnewline
0.74 & 7.67131433887301 & 0.260529615491319 \tabularnewline
0.75 & 7.71768010857055 & 0.250631588068385 \tabularnewline
0.76 & 7.76186517500679 & 0.234570540057362 \tabularnewline
0.77 & 7.80289478029321 & 0.213542376686417 \tabularnewline
0.78 & 7.84003666835701 & 0.189116598207934 \tabularnewline
0.79 & 7.87285146498066 & 0.163056627653336 \tabularnewline
0.8 & 7.90120594983136 & 0.137095082566615 \tabularnewline
0.81 & 7.92524917188035 & 0.112735933209012 \tabularnewline
0.82 & 7.94535726242583 & 0.0911249580965643 \tabularnewline
0.83 & 7.9620572691322 & 0.07295361380067 \tabularnewline
0.84 & 7.97594268706971 & 0.058457753521258 \tabularnewline
0.85 & 7.98759353087929 & 0.0474446638339786 \tabularnewline
0.86 & 7.99751221185606 & 0.0393582146083487 \tabularnewline
0.87 & 8.00608379198957 & 0.0334104723839592 \tabularnewline
0.88 & 8.01356587445408 & 0.0287506317771472 \tabularnewline
0.89 & 8.02010956375959 & 0.024685079813718 \tabularnewline
0.9 & 8.02580825199199 & 0.0208105699541019 \tabularnewline
0.91 & 8.03076477393604 & 0.0170619024063344 \tabularnewline
0.92 & 8.03515902694392 & 0.0137177603840621 \tabularnewline
0.93 & 8.0392878588691 & 0.0113721882543838 \tabularnewline
0.94 & 8.04354097413154 & 0.010771993350578 \tabularnewline
0.95 & 8.04828213558006 & 0.01200821056771 \tabularnewline
0.96 & 8.05364217929207 & 0.0138351204778843 \tabularnewline
0.97 & 8.05930954228425 & 0.0142395437607049 \tabularnewline
0.98 & 8.06449331538307 & 0.0114961536688915 \tabularnewline
0.99 & 8.06823134031826 & 0.00571844438177463 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162837&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]6.80131499511813[/C][C]0.00431490475009353[/C][/ROW]
[ROW][C]0.02[/C][C]6.80457480532894[/C][C]0.0107402506621142[/C][/ROW]
[ROW][C]0.03[/C][C]6.80989696266292[/C][C]0.0166709191423929[/C][/ROW]
[ROW][C]0.04[/C][C]6.81672306009481[/C][C]0.0201036317592576[/C][/ROW]
[ROW][C]0.05[/C][C]6.82411912063718[/C][C]0.0204355877144091[/C][/ROW]
[ROW][C]0.06[/C][C]6.83116741546106[/C][C]0.0182786625158363[/C][/ROW]
[ROW][C]0.07[/C][C]6.83724273598241[/C][C]0.0148408192880766[/C][/ROW]
[ROW][C]0.08[/C][C]6.84210164284195[/C][C]0.011309519238481[/C][/ROW]
[ROW][C]0.09[/C][C]6.84582303457838[/C][C]0.0085487307876224[/C][/ROW]
[ROW][C]0.1[/C][C]6.84868072322235[/C][C]0.00705918852659452[/C][/ROW]
[ROW][C]0.11[/C][C]6.85101718769632[/C][C]0.00695665355899904[/C][/ROW]
[ROW][C]0.12[/C][C]6.85315454960333[/C][C]0.00792968705922765[/C][/ROW]
[ROW][C]0.13[/C][C]6.85534915294039[/C][C]0.00954810603126999[/C][/ROW]
[ROW][C]0.14[/C][C]6.85777989806521[/C][C]0.0115257491385106[/C][/ROW]
[ROW][C]0.15[/C][C]6.86055640113897[/C][C]0.0136743889493135[/C][/ROW]
[ROW][C]0.16[/C][C]6.86373560172613[/C][C]0.0158945618497677[/C][/ROW]
[ROW][C]0.17[/C][C]6.86733975026542[/C][C]0.0181348919150217[/C][/ROW]
[ROW][C]0.18[/C][C]6.8713722209736[/C][C]0.0203883891300591[/C][/ROW]
[ROW][C]0.19[/C][C]6.87582969842925[/C][C]0.0226778142728436[/C][/ROW]
[ROW][C]0.2[/C][C]6.88071031224754[/C][C]0.0250517147666885[/C][/ROW]
[ROW][C]0.21[/C][C]6.88601776826203[/C][C]0.0275593658648681[/C][/ROW]
[ROW][C]0.22[/C][C]6.89176181607536[/C][C]0.0302320312159339[/C][/ROW]
[ROW][C]0.23[/C][C]6.89795566323969[/C][C]0.0330761668741825[/C][/ROW]
[ROW][C]0.24[/C][C]6.90461121409264[/C][C]0.0360539628596892[/C][/ROW]
[ROW][C]0.25[/C][C]6.9117332282184[/C][C]0.0390903345204277[/C][/ROW]
[ROW][C]0.26[/C][C]6.91931359701244[/C][C]0.0420657380668711[/C][/ROW]
[ROW][C]0.27[/C][C]6.92732687943273[/C][C]0.0448496590079187[/C][/ROW]
[ROW][C]0.28[/C][C]6.93572800413233[/C][C]0.0472963629926906[/C][/ROW]
[ROW][C]0.29[/C][C]6.94445265943363[/C][C]0.0492841969299364[/C][/ROW]
[ROW][C]0.3[/C][C]6.95342041863346[/C][C]0.0507172614253074[/C][/ROW]
[ROW][C]0.31[/C][C]6.96254017580912[/C][C]0.0515560236064[/C][/ROW]
[ROW][C]0.32[/C][C]6.97171709061746[/C][C]0.0517903858728358[/C][/ROW]
[ROW][C]0.33[/C][C]6.98086003255432[/C][C]0.0514806687325509[/C][/ROW]
[ROW][C]0.34[/C][C]6.98988850835661[/C][C]0.0507215395166253[/C][/ROW]
[ROW][C]0.35[/C][C]6.99873823568383[/C][C]0.0496229405338253[/C][/ROW]
[ROW][C]0.36[/C][C]7.00736483623531[/C][C]0.0483307884731454[/C][/ROW]
[ROW][C]0.37[/C][C]7.01574548329031[/C][C]0.0469746960473339[/C][/ROW]
[ROW][C]0.38[/C][C]7.02387867201524[/C][C]0.0456845665858047[/C][/ROW]
[ROW][C]0.39[/C][C]7.03178252259983[/C][C]0.0445674920412143[/C][/ROW]
[ROW][C]0.4[/C][C]7.03949214153962[/C][C]0.0437144747173284[/C][/ROW]
[ROW][C]0.41[/C][C]7.04705655143006[/C][C]0.0431858835591194[/C][/ROW]
[ROW][C]0.42[/C][C]7.05453557774914[/C][C]0.0430449063117077[/C][/ROW]
[ROW][C]0.43[/C][C]7.06199689459158[/C][C]0.0433112020087709[/C][/ROW]
[ROW][C]0.44[/C][C]7.06951323216903[/C][C]0.0440206005706685[/C][/ROW]
[ROW][C]0.45[/C][C]7.07715958944532[/C][C]0.0451812524736057[/C][/ROW]
[ROW][C]0.46[/C][C]7.08501021937898[/C][C]0.0467796663364068[/C][/ROW]
[ROW][C]0.47[/C][C]7.0931351892348[/C][C]0.0487961369495973[/C][/ROW]
[ROW][C]0.48[/C][C]7.10159646873038[/C][C]0.0511823587160442[/C][/ROW]
[ROW][C]0.49[/C][C]7.11044374262753[/C][C]0.0538424539093769[/C][/ROW]
[ROW][C]0.5[/C][C]7.11971043519989[/C][C]0.0566506037297205[/C][/ROW]
[ROW][C]0.51[/C][C]7.12941070739842[/C][C]0.0594742681375204[/C][/ROW]
[ROW][C]0.52[/C][C]7.1395383730286[/C][C]0.0621442006921227[/C][/ROW]
[ROW][C]0.53[/C][C]7.15006871551648[/C][C]0.0645188048329369[/C][/ROW]
[ROW][C]0.54[/C][C]7.16096403081547[/C][C]0.06649356616551[/C][/ROW]
[ROW][C]0.55[/C][C]7.17218336358886[/C][C]0.0680403686617586[/C][/ROW]
[ROW][C]0.56[/C][C]7.18369636418226[/C][C]0.0692094191899523[/C][/ROW]
[ROW][C]0.57[/C][C]7.19550052285933[/C][C]0.070196175476605[/C][/ROW]
[ROW][C]0.58[/C][C]7.20764030647251[/C][C]0.0713240839028056[/C][/ROW]
[ROW][C]0.59[/C][C]7.22022601646798[/C][C]0.0730743760851685[/C][/ROW]
[ROW][C]0.6[/C][C]7.23344960078874[/C][C]0.0760582240491061[/C][/ROW]
[ROW][C]0.61[/C][C]7.24759428885458[/C][C]0.0809659536123643[/C][/ROW]
[ROW][C]0.62[/C][C]7.2630348879484[/C][C]0.0884479838866236[/C][/ROW]
[ROW][C]0.63[/C][C]7.28022599002735[/C][C]0.099003740595938[/C][/ROW]
[ROW][C]0.64[/C][C]7.29967628010212[/C][C]0.112846556235625[/C][/ROW]
[ROW][C]0.65[/C][C]7.32190864930451[/C][C]0.129868606399012[/C][/ROW]
[ROW][C]0.66[/C][C]7.34740784244921[/C][C]0.149585262204096[/C][/ROW]
[ROW][C]0.67[/C][C]7.37655972296647[/C][C]0.171168875854169[/C][/ROW]
[ROW][C]0.68[/C][C]7.40958857739852[/C][C]0.193463523591778[/C][/ROW]
[ROW][C]0.69[/C][C]7.44650073701861[/C][C]0.215031028379443[/C][/ROW]
[ROW][C]0.7[/C][C]7.48704363966162[/C][C]0.234304182890743[/C][/ROW]
[ROW][C]0.71[/C][C]7.5306888326046[/C][C]0.249700501181535[/C][/ROW]
[ROW][C]0.72[/C][C]7.57664508643875[/C][C]0.259819391983934[/C][/ROW]
[ROW][C]0.73[/C][C]7.62390385885692[/C][C]0.263611065366846[/C][/ROW]
[ROW][C]0.74[/C][C]7.67131433887301[/C][C]0.260529615491319[/C][/ROW]
[ROW][C]0.75[/C][C]7.71768010857055[/C][C]0.250631588068385[/C][/ROW]
[ROW][C]0.76[/C][C]7.76186517500679[/C][C]0.234570540057362[/C][/ROW]
[ROW][C]0.77[/C][C]7.80289478029321[/C][C]0.213542376686417[/C][/ROW]
[ROW][C]0.78[/C][C]7.84003666835701[/C][C]0.189116598207934[/C][/ROW]
[ROW][C]0.79[/C][C]7.87285146498066[/C][C]0.163056627653336[/C][/ROW]
[ROW][C]0.8[/C][C]7.90120594983136[/C][C]0.137095082566615[/C][/ROW]
[ROW][C]0.81[/C][C]7.92524917188035[/C][C]0.112735933209012[/C][/ROW]
[ROW][C]0.82[/C][C]7.94535726242583[/C][C]0.0911249580965643[/C][/ROW]
[ROW][C]0.83[/C][C]7.9620572691322[/C][C]0.07295361380067[/C][/ROW]
[ROW][C]0.84[/C][C]7.97594268706971[/C][C]0.058457753521258[/C][/ROW]
[ROW][C]0.85[/C][C]7.98759353087929[/C][C]0.0474446638339786[/C][/ROW]
[ROW][C]0.86[/C][C]7.99751221185606[/C][C]0.0393582146083487[/C][/ROW]
[ROW][C]0.87[/C][C]8.00608379198957[/C][C]0.0334104723839592[/C][/ROW]
[ROW][C]0.88[/C][C]8.01356587445408[/C][C]0.0287506317771472[/C][/ROW]
[ROW][C]0.89[/C][C]8.02010956375959[/C][C]0.024685079813718[/C][/ROW]
[ROW][C]0.9[/C][C]8.02580825199199[/C][C]0.0208105699541019[/C][/ROW]
[ROW][C]0.91[/C][C]8.03076477393604[/C][C]0.0170619024063344[/C][/ROW]
[ROW][C]0.92[/C][C]8.03515902694392[/C][C]0.0137177603840621[/C][/ROW]
[ROW][C]0.93[/C][C]8.0392878588691[/C][C]0.0113721882543838[/C][/ROW]
[ROW][C]0.94[/C][C]8.04354097413154[/C][C]0.010771993350578[/C][/ROW]
[ROW][C]0.95[/C][C]8.04828213558006[/C][C]0.01200821056771[/C][/ROW]
[ROW][C]0.96[/C][C]8.05364217929207[/C][C]0.0138351204778843[/C][/ROW]
[ROW][C]0.97[/C][C]8.05930954228425[/C][C]0.0142395437607049[/C][/ROW]
[ROW][C]0.98[/C][C]8.06449331538307[/C][C]0.0114961536688915[/C][/ROW]
[ROW][C]0.99[/C][C]8.06823134031826[/C][C]0.00571844438177463[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162837&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162837&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
0.016.801314995118130.00431490475009353
0.026.804574805328940.0107402506621142
0.036.809896962662920.0166709191423929
0.046.816723060094810.0201036317592576
0.056.824119120637180.0204355877144091
0.066.831167415461060.0182786625158363
0.076.837242735982410.0148408192880766
0.086.842101642841950.011309519238481
0.096.845823034578380.0085487307876224
0.16.848680723222350.00705918852659452
0.116.851017187696320.00695665355899904
0.126.853154549603330.00792968705922765
0.136.855349152940390.00954810603126999
0.146.857779898065210.0115257491385106
0.156.860556401138970.0136743889493135
0.166.863735601726130.0158945618497677
0.176.867339750265420.0181348919150217
0.186.87137222097360.0203883891300591
0.196.875829698429250.0226778142728436
0.26.880710312247540.0250517147666885
0.216.886017768262030.0275593658648681
0.226.891761816075360.0302320312159339
0.236.897955663239690.0330761668741825
0.246.904611214092640.0360539628596892
0.256.91173322821840.0390903345204277
0.266.919313597012440.0420657380668711
0.276.927326879432730.0448496590079187
0.286.935728004132330.0472963629926906
0.296.944452659433630.0492841969299364
0.36.953420418633460.0507172614253074
0.316.962540175809120.0515560236064
0.326.971717090617460.0517903858728358
0.336.980860032554320.0514806687325509
0.346.989888508356610.0507215395166253
0.356.998738235683830.0496229405338253
0.367.007364836235310.0483307884731454
0.377.015745483290310.0469746960473339
0.387.023878672015240.0456845665858047
0.397.031782522599830.0445674920412143
0.47.039492141539620.0437144747173284
0.417.047056551430060.0431858835591194
0.427.054535577749140.0430449063117077
0.437.061996894591580.0433112020087709
0.447.069513232169030.0440206005706685
0.457.077159589445320.0451812524736057
0.467.085010219378980.0467796663364068
0.477.09313518923480.0487961369495973
0.487.101596468730380.0511823587160442
0.497.110443742627530.0538424539093769
0.57.119710435199890.0566506037297205
0.517.129410707398420.0594742681375204
0.527.13953837302860.0621442006921227
0.537.150068715516480.0645188048329369
0.547.160964030815470.06649356616551
0.557.172183363588860.0680403686617586
0.567.183696364182260.0692094191899523
0.577.195500522859330.070196175476605
0.587.207640306472510.0713240839028056
0.597.220226016467980.0730743760851685
0.67.233449600788740.0760582240491061
0.617.247594288854580.0809659536123643
0.627.26303488794840.0884479838866236
0.637.280225990027350.099003740595938
0.647.299676280102120.112846556235625
0.657.321908649304510.129868606399012
0.667.347407842449210.149585262204096
0.677.376559722966470.171168875854169
0.687.409588577398520.193463523591778
0.697.446500737018610.215031028379443
0.77.487043639661620.234304182890743
0.717.53068883260460.249700501181535
0.727.576645086438750.259819391983934
0.737.623903858856920.263611065366846
0.747.671314338873010.260529615491319
0.757.717680108570550.250631588068385
0.767.761865175006790.234570540057362
0.777.802894780293210.213542376686417
0.787.840036668357010.189116598207934
0.797.872851464980660.163056627653336
0.87.901205949831360.137095082566615
0.817.925249171880350.112735933209012
0.827.945357262425830.0911249580965643
0.837.96205726913220.07295361380067
0.847.975942687069710.058457753521258
0.857.987593530879290.0474446638339786
0.867.997512211856060.0393582146083487
0.878.006083791989570.0334104723839592
0.888.013565874454080.0287506317771472
0.898.020109563759590.024685079813718
0.98.025808251991990.0208105699541019
0.918.030764773936040.0170619024063344
0.928.035159026943920.0137177603840621
0.938.03928785886910.0113721882543838
0.948.043540974131540.010771993350578
0.958.048282135580060.01200821056771
0.968.053642179292070.0138351204778843
0.978.059309542284250.0142395437607049
0.988.064493315383070.0114961536688915
0.998.068231340318260.00571844438177463


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')