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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, 05 Oct 2014 13:09:16 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t1412510969d5gvgwgfabysael.htm/, Retrieved Sun, 12 May 2024 08:55:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238741, Retrieved Sun, 12 May 2024 08:55:46 +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] [] [2014-10-05 12:09:16] [18123dc03e4972c6afb0cd442b9891ee] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.3
7.1
6.8
6.4
6.1
6.5
7.7
7.9
7.5
6.9
6.6
6.9
7.7
8
8
7.7
7.3
7.4
8.1
8.3
8.1
7.9
7.9
8.3
8.6
8.7
8.5
8.3
8
8
8.8
8.7
8.5
8.1
7.8
7.7
7.5
7.2
6.9
6.6
6.5
6.6
7.7
8
7.7
7.3
7
7
7.3
7.3
7.1
7.1
7
7
7.5
7.8
7.9
8.1
8.3
8.4
8.6
8.5
8.4
8.3
8
8
8.7
8.7
8.6
8.5
8.5
8.6

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238741&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238741&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238741&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.183439930934990.242191279945881
0.026.295696059952480.173849923635305
0.036.393887520448150.122174285473066
0.046.466319636576190.0965013296106307
0.056.519652665534560.0919699281119079
0.066.563532769233630.0999044710149457
0.076.60457949763740.113424874277129
0.086.645994948384590.127619770930085
0.096.68861918038620.138694655635596
0.16.731908560950870.144157970385958
0.116.774662498992160.143277173850652
0.126.815577131669050.137017024396297
0.136.853639533027440.1274579049314
0.146.888336803410520.117030133309577
0.156.919683069658140.10781303835051
0.166.948113336295210.101176253961292
0.176.974315148517740.0977132733890573
0.186.999060020408370.0973593208652656
0.197.023071120229030.0995958872370192
0.27.046938909161960.103668660484516
0.217.071081198963190.108748200086866
0.227.09573850163240.114059180557863
0.237.120995335961580.118993985323239
0.247.14681917871750.123153897347917
0.257.17310901353510.126419798651237
0.267.199745012808270.128913892708965
0.277.226630838336260.130963206121751
0.287.253721327625170.133014206155234
0.297.281031229404920.135474986790805
0.37.30862468753210.138609151576383
0.317.336589365043430.14243877825539
0.327.365002360986410.146742748512349
0.337.393896582197550.151060396365836
0.347.423235679262680.154860557758025
0.357.452903288756720.157599353181466
0.367.482708827188480.158852104889138
0.377.512408346736830.158379530887571
0.387.541735836976620.156174906478597
0.397.570438452604140.152429633492345
0.47.598308741641030.147528048892949
0.417.625207977237030.141982529150954
0.427.651076815731940.136320058736456
0.437.675932193602160.131017119436395
0.447.699852055199020.126428334896592
0.457.722951644875660.122696905824843
0.467.745356327100930.119777989333182
0.477.767176061658010.117454158757293
0.487.788485841333670.115412063481646
0.497.809314881385540.113303982657644
0.57.829645534402520.110829404674086
0.517.849421197245310.107784201346547
0.527.868561187755830.104072536712319
0.537.88697984706720.0997382220270344
0.547.90460695161590.0949224093764716
0.557.921406760192160.0898722066086793
0.567.937393493387910.084919058737012
0.577.95264159090520.0804399108155502
0.587.967289632414350.0768281603598118
0.597.981537330077560.074470478572702
0.67.995635540432710.0736835264006686
0.618.009869838128120.0746583048981028
0.628.024538851611850.0773870703784204
0.638.039929244427250.0817194045380187
0.648.056289857497930.0873013651689328
0.658.073807999910740.0936761273514817
0.668.092591059773640.100305637233966
0.678.112656363585250.106652533884528
0.688.133931416196890.112200984721095
0.698.156265242913150.116548542496414
0.78.179449613075640.119414616997462
0.718.203246752054880.120733891280515
0.728.227418285083430.120604878310659
0.738.251749286420650.119291429333202
0.748.27606203963130.11713020986655
0.758.300216679692910.11443858300851
0.768.324099872409080.111412235500545
0.778.347606960746170.108088626727256
0.788.370625959732660.104343759509865
0.798.393031879525560.0999965588068382
0.88.414696388865470.0949312696179862
0.818.435511534875570.0892094880958688
0.828.455419437416730.0831177612883692
0.838.474435853599110.077116746861363
0.848.492657022286290.0717126816465501
0.858.510246628807880.0672658591062023
0.868.527409758047750.0638555299521186
0.878.544366830275020.0612887902916858
0.888.561336334319550.0593037418806947
0.898.578519877869670.0577996186437474
0.98.596066227050640.0567858263955339
0.918.613991703438330.0560712540990404
0.928.632071074190530.0548424591682819
0.938.649786999723970.0517358995605046
0.948.666506057597620.0456400928294289
0.958.682060275808180.0369096374176567
0.968.697704285710070.0287987999691596
0.978.716737754591470.0296300912736358
0.988.742921085693510.0468335001713004
0.998.774833915839640.0749799075417312

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.18343993093499 & 0.242191279945881 \tabularnewline
0.02 & 6.29569605995248 & 0.173849923635305 \tabularnewline
0.03 & 6.39388752044815 & 0.122174285473066 \tabularnewline
0.04 & 6.46631963657619 & 0.0965013296106307 \tabularnewline
0.05 & 6.51965266553456 & 0.0919699281119079 \tabularnewline
0.06 & 6.56353276923363 & 0.0999044710149457 \tabularnewline
0.07 & 6.6045794976374 & 0.113424874277129 \tabularnewline
0.08 & 6.64599494838459 & 0.127619770930085 \tabularnewline
0.09 & 6.6886191803862 & 0.138694655635596 \tabularnewline
0.1 & 6.73190856095087 & 0.144157970385958 \tabularnewline
0.11 & 6.77466249899216 & 0.143277173850652 \tabularnewline
0.12 & 6.81557713166905 & 0.137017024396297 \tabularnewline
0.13 & 6.85363953302744 & 0.1274579049314 \tabularnewline
0.14 & 6.88833680341052 & 0.117030133309577 \tabularnewline
0.15 & 6.91968306965814 & 0.10781303835051 \tabularnewline
0.16 & 6.94811333629521 & 0.101176253961292 \tabularnewline
0.17 & 6.97431514851774 & 0.0977132733890573 \tabularnewline
0.18 & 6.99906002040837 & 0.0973593208652656 \tabularnewline
0.19 & 7.02307112022903 & 0.0995958872370192 \tabularnewline
0.2 & 7.04693890916196 & 0.103668660484516 \tabularnewline
0.21 & 7.07108119896319 & 0.108748200086866 \tabularnewline
0.22 & 7.0957385016324 & 0.114059180557863 \tabularnewline
0.23 & 7.12099533596158 & 0.118993985323239 \tabularnewline
0.24 & 7.1468191787175 & 0.123153897347917 \tabularnewline
0.25 & 7.1731090135351 & 0.126419798651237 \tabularnewline
0.26 & 7.19974501280827 & 0.128913892708965 \tabularnewline
0.27 & 7.22663083833626 & 0.130963206121751 \tabularnewline
0.28 & 7.25372132762517 & 0.133014206155234 \tabularnewline
0.29 & 7.28103122940492 & 0.135474986790805 \tabularnewline
0.3 & 7.3086246875321 & 0.138609151576383 \tabularnewline
0.31 & 7.33658936504343 & 0.14243877825539 \tabularnewline
0.32 & 7.36500236098641 & 0.146742748512349 \tabularnewline
0.33 & 7.39389658219755 & 0.151060396365836 \tabularnewline
0.34 & 7.42323567926268 & 0.154860557758025 \tabularnewline
0.35 & 7.45290328875672 & 0.157599353181466 \tabularnewline
0.36 & 7.48270882718848 & 0.158852104889138 \tabularnewline
0.37 & 7.51240834673683 & 0.158379530887571 \tabularnewline
0.38 & 7.54173583697662 & 0.156174906478597 \tabularnewline
0.39 & 7.57043845260414 & 0.152429633492345 \tabularnewline
0.4 & 7.59830874164103 & 0.147528048892949 \tabularnewline
0.41 & 7.62520797723703 & 0.141982529150954 \tabularnewline
0.42 & 7.65107681573194 & 0.136320058736456 \tabularnewline
0.43 & 7.67593219360216 & 0.131017119436395 \tabularnewline
0.44 & 7.69985205519902 & 0.126428334896592 \tabularnewline
0.45 & 7.72295164487566 & 0.122696905824843 \tabularnewline
0.46 & 7.74535632710093 & 0.119777989333182 \tabularnewline
0.47 & 7.76717606165801 & 0.117454158757293 \tabularnewline
0.48 & 7.78848584133367 & 0.115412063481646 \tabularnewline
0.49 & 7.80931488138554 & 0.113303982657644 \tabularnewline
0.5 & 7.82964553440252 & 0.110829404674086 \tabularnewline
0.51 & 7.84942119724531 & 0.107784201346547 \tabularnewline
0.52 & 7.86856118775583 & 0.104072536712319 \tabularnewline
0.53 & 7.8869798470672 & 0.0997382220270344 \tabularnewline
0.54 & 7.9046069516159 & 0.0949224093764716 \tabularnewline
0.55 & 7.92140676019216 & 0.0898722066086793 \tabularnewline
0.56 & 7.93739349338791 & 0.084919058737012 \tabularnewline
0.57 & 7.9526415909052 & 0.0804399108155502 \tabularnewline
0.58 & 7.96728963241435 & 0.0768281603598118 \tabularnewline
0.59 & 7.98153733007756 & 0.074470478572702 \tabularnewline
0.6 & 7.99563554043271 & 0.0736835264006686 \tabularnewline
0.61 & 8.00986983812812 & 0.0746583048981028 \tabularnewline
0.62 & 8.02453885161185 & 0.0773870703784204 \tabularnewline
0.63 & 8.03992924442725 & 0.0817194045380187 \tabularnewline
0.64 & 8.05628985749793 & 0.0873013651689328 \tabularnewline
0.65 & 8.07380799991074 & 0.0936761273514817 \tabularnewline
0.66 & 8.09259105977364 & 0.100305637233966 \tabularnewline
0.67 & 8.11265636358525 & 0.106652533884528 \tabularnewline
0.68 & 8.13393141619689 & 0.112200984721095 \tabularnewline
0.69 & 8.15626524291315 & 0.116548542496414 \tabularnewline
0.7 & 8.17944961307564 & 0.119414616997462 \tabularnewline
0.71 & 8.20324675205488 & 0.120733891280515 \tabularnewline
0.72 & 8.22741828508343 & 0.120604878310659 \tabularnewline
0.73 & 8.25174928642065 & 0.119291429333202 \tabularnewline
0.74 & 8.2760620396313 & 0.11713020986655 \tabularnewline
0.75 & 8.30021667969291 & 0.11443858300851 \tabularnewline
0.76 & 8.32409987240908 & 0.111412235500545 \tabularnewline
0.77 & 8.34760696074617 & 0.108088626727256 \tabularnewline
0.78 & 8.37062595973266 & 0.104343759509865 \tabularnewline
0.79 & 8.39303187952556 & 0.0999965588068382 \tabularnewline
0.8 & 8.41469638886547 & 0.0949312696179862 \tabularnewline
0.81 & 8.43551153487557 & 0.0892094880958688 \tabularnewline
0.82 & 8.45541943741673 & 0.0831177612883692 \tabularnewline
0.83 & 8.47443585359911 & 0.077116746861363 \tabularnewline
0.84 & 8.49265702228629 & 0.0717126816465501 \tabularnewline
0.85 & 8.51024662880788 & 0.0672658591062023 \tabularnewline
0.86 & 8.52740975804775 & 0.0638555299521186 \tabularnewline
0.87 & 8.54436683027502 & 0.0612887902916858 \tabularnewline
0.88 & 8.56133633431955 & 0.0593037418806947 \tabularnewline
0.89 & 8.57851987786967 & 0.0577996186437474 \tabularnewline
0.9 & 8.59606622705064 & 0.0567858263955339 \tabularnewline
0.91 & 8.61399170343833 & 0.0560712540990404 \tabularnewline
0.92 & 8.63207107419053 & 0.0548424591682819 \tabularnewline
0.93 & 8.64978699972397 & 0.0517358995605046 \tabularnewline
0.94 & 8.66650605759762 & 0.0456400928294289 \tabularnewline
0.95 & 8.68206027580818 & 0.0369096374176567 \tabularnewline
0.96 & 8.69770428571007 & 0.0287987999691596 \tabularnewline
0.97 & 8.71673775459147 & 0.0296300912736358 \tabularnewline
0.98 & 8.74292108569351 & 0.0468335001713004 \tabularnewline
0.99 & 8.77483391583964 & 0.0749799075417312 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238741&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]6.18343993093499[/C][C]0.242191279945881[/C][/ROW]
[ROW][C]0.02[/C][C]6.29569605995248[/C][C]0.173849923635305[/C][/ROW]
[ROW][C]0.03[/C][C]6.39388752044815[/C][C]0.122174285473066[/C][/ROW]
[ROW][C]0.04[/C][C]6.46631963657619[/C][C]0.0965013296106307[/C][/ROW]
[ROW][C]0.05[/C][C]6.51965266553456[/C][C]0.0919699281119079[/C][/ROW]
[ROW][C]0.06[/C][C]6.56353276923363[/C][C]0.0999044710149457[/C][/ROW]
[ROW][C]0.07[/C][C]6.6045794976374[/C][C]0.113424874277129[/C][/ROW]
[ROW][C]0.08[/C][C]6.64599494838459[/C][C]0.127619770930085[/C][/ROW]
[ROW][C]0.09[/C][C]6.6886191803862[/C][C]0.138694655635596[/C][/ROW]
[ROW][C]0.1[/C][C]6.73190856095087[/C][C]0.144157970385958[/C][/ROW]
[ROW][C]0.11[/C][C]6.77466249899216[/C][C]0.143277173850652[/C][/ROW]
[ROW][C]0.12[/C][C]6.81557713166905[/C][C]0.137017024396297[/C][/ROW]
[ROW][C]0.13[/C][C]6.85363953302744[/C][C]0.1274579049314[/C][/ROW]
[ROW][C]0.14[/C][C]6.88833680341052[/C][C]0.117030133309577[/C][/ROW]
[ROW][C]0.15[/C][C]6.91968306965814[/C][C]0.10781303835051[/C][/ROW]
[ROW][C]0.16[/C][C]6.94811333629521[/C][C]0.101176253961292[/C][/ROW]
[ROW][C]0.17[/C][C]6.97431514851774[/C][C]0.0977132733890573[/C][/ROW]
[ROW][C]0.18[/C][C]6.99906002040837[/C][C]0.0973593208652656[/C][/ROW]
[ROW][C]0.19[/C][C]7.02307112022903[/C][C]0.0995958872370192[/C][/ROW]
[ROW][C]0.2[/C][C]7.04693890916196[/C][C]0.103668660484516[/C][/ROW]
[ROW][C]0.21[/C][C]7.07108119896319[/C][C]0.108748200086866[/C][/ROW]
[ROW][C]0.22[/C][C]7.0957385016324[/C][C]0.114059180557863[/C][/ROW]
[ROW][C]0.23[/C][C]7.12099533596158[/C][C]0.118993985323239[/C][/ROW]
[ROW][C]0.24[/C][C]7.1468191787175[/C][C]0.123153897347917[/C][/ROW]
[ROW][C]0.25[/C][C]7.1731090135351[/C][C]0.126419798651237[/C][/ROW]
[ROW][C]0.26[/C][C]7.19974501280827[/C][C]0.128913892708965[/C][/ROW]
[ROW][C]0.27[/C][C]7.22663083833626[/C][C]0.130963206121751[/C][/ROW]
[ROW][C]0.28[/C][C]7.25372132762517[/C][C]0.133014206155234[/C][/ROW]
[ROW][C]0.29[/C][C]7.28103122940492[/C][C]0.135474986790805[/C][/ROW]
[ROW][C]0.3[/C][C]7.3086246875321[/C][C]0.138609151576383[/C][/ROW]
[ROW][C]0.31[/C][C]7.33658936504343[/C][C]0.14243877825539[/C][/ROW]
[ROW][C]0.32[/C][C]7.36500236098641[/C][C]0.146742748512349[/C][/ROW]
[ROW][C]0.33[/C][C]7.39389658219755[/C][C]0.151060396365836[/C][/ROW]
[ROW][C]0.34[/C][C]7.42323567926268[/C][C]0.154860557758025[/C][/ROW]
[ROW][C]0.35[/C][C]7.45290328875672[/C][C]0.157599353181466[/C][/ROW]
[ROW][C]0.36[/C][C]7.48270882718848[/C][C]0.158852104889138[/C][/ROW]
[ROW][C]0.37[/C][C]7.51240834673683[/C][C]0.158379530887571[/C][/ROW]
[ROW][C]0.38[/C][C]7.54173583697662[/C][C]0.156174906478597[/C][/ROW]
[ROW][C]0.39[/C][C]7.57043845260414[/C][C]0.152429633492345[/C][/ROW]
[ROW][C]0.4[/C][C]7.59830874164103[/C][C]0.147528048892949[/C][/ROW]
[ROW][C]0.41[/C][C]7.62520797723703[/C][C]0.141982529150954[/C][/ROW]
[ROW][C]0.42[/C][C]7.65107681573194[/C][C]0.136320058736456[/C][/ROW]
[ROW][C]0.43[/C][C]7.67593219360216[/C][C]0.131017119436395[/C][/ROW]
[ROW][C]0.44[/C][C]7.69985205519902[/C][C]0.126428334896592[/C][/ROW]
[ROW][C]0.45[/C][C]7.72295164487566[/C][C]0.122696905824843[/C][/ROW]
[ROW][C]0.46[/C][C]7.74535632710093[/C][C]0.119777989333182[/C][/ROW]
[ROW][C]0.47[/C][C]7.76717606165801[/C][C]0.117454158757293[/C][/ROW]
[ROW][C]0.48[/C][C]7.78848584133367[/C][C]0.115412063481646[/C][/ROW]
[ROW][C]0.49[/C][C]7.80931488138554[/C][C]0.113303982657644[/C][/ROW]
[ROW][C]0.5[/C][C]7.82964553440252[/C][C]0.110829404674086[/C][/ROW]
[ROW][C]0.51[/C][C]7.84942119724531[/C][C]0.107784201346547[/C][/ROW]
[ROW][C]0.52[/C][C]7.86856118775583[/C][C]0.104072536712319[/C][/ROW]
[ROW][C]0.53[/C][C]7.8869798470672[/C][C]0.0997382220270344[/C][/ROW]
[ROW][C]0.54[/C][C]7.9046069516159[/C][C]0.0949224093764716[/C][/ROW]
[ROW][C]0.55[/C][C]7.92140676019216[/C][C]0.0898722066086793[/C][/ROW]
[ROW][C]0.56[/C][C]7.93739349338791[/C][C]0.084919058737012[/C][/ROW]
[ROW][C]0.57[/C][C]7.9526415909052[/C][C]0.0804399108155502[/C][/ROW]
[ROW][C]0.58[/C][C]7.96728963241435[/C][C]0.0768281603598118[/C][/ROW]
[ROW][C]0.59[/C][C]7.98153733007756[/C][C]0.074470478572702[/C][/ROW]
[ROW][C]0.6[/C][C]7.99563554043271[/C][C]0.0736835264006686[/C][/ROW]
[ROW][C]0.61[/C][C]8.00986983812812[/C][C]0.0746583048981028[/C][/ROW]
[ROW][C]0.62[/C][C]8.02453885161185[/C][C]0.0773870703784204[/C][/ROW]
[ROW][C]0.63[/C][C]8.03992924442725[/C][C]0.0817194045380187[/C][/ROW]
[ROW][C]0.64[/C][C]8.05628985749793[/C][C]0.0873013651689328[/C][/ROW]
[ROW][C]0.65[/C][C]8.07380799991074[/C][C]0.0936761273514817[/C][/ROW]
[ROW][C]0.66[/C][C]8.09259105977364[/C][C]0.100305637233966[/C][/ROW]
[ROW][C]0.67[/C][C]8.11265636358525[/C][C]0.106652533884528[/C][/ROW]
[ROW][C]0.68[/C][C]8.13393141619689[/C][C]0.112200984721095[/C][/ROW]
[ROW][C]0.69[/C][C]8.15626524291315[/C][C]0.116548542496414[/C][/ROW]
[ROW][C]0.7[/C][C]8.17944961307564[/C][C]0.119414616997462[/C][/ROW]
[ROW][C]0.71[/C][C]8.20324675205488[/C][C]0.120733891280515[/C][/ROW]
[ROW][C]0.72[/C][C]8.22741828508343[/C][C]0.120604878310659[/C][/ROW]
[ROW][C]0.73[/C][C]8.25174928642065[/C][C]0.119291429333202[/C][/ROW]
[ROW][C]0.74[/C][C]8.2760620396313[/C][C]0.11713020986655[/C][/ROW]
[ROW][C]0.75[/C][C]8.30021667969291[/C][C]0.11443858300851[/C][/ROW]
[ROW][C]0.76[/C][C]8.32409987240908[/C][C]0.111412235500545[/C][/ROW]
[ROW][C]0.77[/C][C]8.34760696074617[/C][C]0.108088626727256[/C][/ROW]
[ROW][C]0.78[/C][C]8.37062595973266[/C][C]0.104343759509865[/C][/ROW]
[ROW][C]0.79[/C][C]8.39303187952556[/C][C]0.0999965588068382[/C][/ROW]
[ROW][C]0.8[/C][C]8.41469638886547[/C][C]0.0949312696179862[/C][/ROW]
[ROW][C]0.81[/C][C]8.43551153487557[/C][C]0.0892094880958688[/C][/ROW]
[ROW][C]0.82[/C][C]8.45541943741673[/C][C]0.0831177612883692[/C][/ROW]
[ROW][C]0.83[/C][C]8.47443585359911[/C][C]0.077116746861363[/C][/ROW]
[ROW][C]0.84[/C][C]8.49265702228629[/C][C]0.0717126816465501[/C][/ROW]
[ROW][C]0.85[/C][C]8.51024662880788[/C][C]0.0672658591062023[/C][/ROW]
[ROW][C]0.86[/C][C]8.52740975804775[/C][C]0.0638555299521186[/C][/ROW]
[ROW][C]0.87[/C][C]8.54436683027502[/C][C]0.0612887902916858[/C][/ROW]
[ROW][C]0.88[/C][C]8.56133633431955[/C][C]0.0593037418806947[/C][/ROW]
[ROW][C]0.89[/C][C]8.57851987786967[/C][C]0.0577996186437474[/C][/ROW]
[ROW][C]0.9[/C][C]8.59606622705064[/C][C]0.0567858263955339[/C][/ROW]
[ROW][C]0.91[/C][C]8.61399170343833[/C][C]0.0560712540990404[/C][/ROW]
[ROW][C]0.92[/C][C]8.63207107419053[/C][C]0.0548424591682819[/C][/ROW]
[ROW][C]0.93[/C][C]8.64978699972397[/C][C]0.0517358995605046[/C][/ROW]
[ROW][C]0.94[/C][C]8.66650605759762[/C][C]0.0456400928294289[/C][/ROW]
[ROW][C]0.95[/C][C]8.68206027580818[/C][C]0.0369096374176567[/C][/ROW]
[ROW][C]0.96[/C][C]8.69770428571007[/C][C]0.0287987999691596[/C][/ROW]
[ROW][C]0.97[/C][C]8.71673775459147[/C][C]0.0296300912736358[/C][/ROW]
[ROW][C]0.98[/C][C]8.74292108569351[/C][C]0.0468335001713004[/C][/ROW]
[ROW][C]0.99[/C][C]8.77483391583964[/C][C]0.0749799075417312[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238741&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238741&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
0.016.183439930934990.242191279945881
0.026.295696059952480.173849923635305
0.036.393887520448150.122174285473066
0.046.466319636576190.0965013296106307
0.056.519652665534560.0919699281119079
0.066.563532769233630.0999044710149457
0.076.60457949763740.113424874277129
0.086.645994948384590.127619770930085
0.096.68861918038620.138694655635596
0.16.731908560950870.144157970385958
0.116.774662498992160.143277173850652
0.126.815577131669050.137017024396297
0.136.853639533027440.1274579049314
0.146.888336803410520.117030133309577
0.156.919683069658140.10781303835051
0.166.948113336295210.101176253961292
0.176.974315148517740.0977132733890573
0.186.999060020408370.0973593208652656
0.197.023071120229030.0995958872370192
0.27.046938909161960.103668660484516
0.217.071081198963190.108748200086866
0.227.09573850163240.114059180557863
0.237.120995335961580.118993985323239
0.247.14681917871750.123153897347917
0.257.17310901353510.126419798651237
0.267.199745012808270.128913892708965
0.277.226630838336260.130963206121751
0.287.253721327625170.133014206155234
0.297.281031229404920.135474986790805
0.37.30862468753210.138609151576383
0.317.336589365043430.14243877825539
0.327.365002360986410.146742748512349
0.337.393896582197550.151060396365836
0.347.423235679262680.154860557758025
0.357.452903288756720.157599353181466
0.367.482708827188480.158852104889138
0.377.512408346736830.158379530887571
0.387.541735836976620.156174906478597
0.397.570438452604140.152429633492345
0.47.598308741641030.147528048892949
0.417.625207977237030.141982529150954
0.427.651076815731940.136320058736456
0.437.675932193602160.131017119436395
0.447.699852055199020.126428334896592
0.457.722951644875660.122696905824843
0.467.745356327100930.119777989333182
0.477.767176061658010.117454158757293
0.487.788485841333670.115412063481646
0.497.809314881385540.113303982657644
0.57.829645534402520.110829404674086
0.517.849421197245310.107784201346547
0.527.868561187755830.104072536712319
0.537.88697984706720.0997382220270344
0.547.90460695161590.0949224093764716
0.557.921406760192160.0898722066086793
0.567.937393493387910.084919058737012
0.577.95264159090520.0804399108155502
0.587.967289632414350.0768281603598118
0.597.981537330077560.074470478572702
0.67.995635540432710.0736835264006686
0.618.009869838128120.0746583048981028
0.628.024538851611850.0773870703784204
0.638.039929244427250.0817194045380187
0.648.056289857497930.0873013651689328
0.658.073807999910740.0936761273514817
0.668.092591059773640.100305637233966
0.678.112656363585250.106652533884528
0.688.133931416196890.112200984721095
0.698.156265242913150.116548542496414
0.78.179449613075640.119414616997462
0.718.203246752054880.120733891280515
0.728.227418285083430.120604878310659
0.738.251749286420650.119291429333202
0.748.27606203963130.11713020986655
0.758.300216679692910.11443858300851
0.768.324099872409080.111412235500545
0.778.347606960746170.108088626727256
0.788.370625959732660.104343759509865
0.798.393031879525560.0999965588068382
0.88.414696388865470.0949312696179862
0.818.435511534875570.0892094880958688
0.828.455419437416730.0831177612883692
0.838.474435853599110.077116746861363
0.848.492657022286290.0717126816465501
0.858.510246628807880.0672658591062023
0.868.527409758047750.0638555299521186
0.878.544366830275020.0612887902916858
0.888.561336334319550.0593037418806947
0.898.578519877869670.0577996186437474
0.98.596066227050640.0567858263955339
0.918.613991703438330.0560712540990404
0.928.632071074190530.0548424591682819
0.938.649786999723970.0517358995605046
0.948.666506057597620.0456400928294289
0.958.682060275808180.0369096374176567
0.968.697704285710070.0287987999691596
0.978.716737754591470.0296300912736358
0.988.742921085693510.0468335001713004
0.998.774833915839640.0749799075417312


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')