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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, 26 Feb 2008 06:59:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/26/t1204034465buxjbzvuptofh9c.htm/, Retrieved Sat, 04 May 2024 21:46:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9137, Retrieved Sat, 04 May 2024 21:46:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [Percentielen huup...] [2008-02-26 13:59:36] [d210e4b078ace379de89aa3420a86154] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103,6
103,7
103,8
104
104
104,1
104,2
104,3
104,4
104,5
104,7
104,7
104,9
105
105,2
105,3
105,4
105,5
105,7
105,8
105,9
106
106,1
106,2
106,6
106,8
107
107,1
107,3
107,4
107,6
107,7
107,9
108,2
108,3
108,5
108,92
109,23
109,41
109,65
109,91
110,01
110,2
110,49
110,57
110,72
110,94
111,09
111,28
111,41
111,62
111,76
111,89
112,04
112,12
112,3
112,47
112,59
112,78
112,73
112,99
113,1
113,33
113,38
113,68
113,65
113,81
113,88
114,02
114,25
114,28
114,38
114,73
114,97
115,05
115,29
115,37
115,54
115,76
115,92
116,02
116,21
116,26
116,51

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9137&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9137&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.6476527176610.108720867369532
0.02103.7272410141370.134759989297791
0.03103.8174629818780.156215835515734
0.04103.9070061837480.165928043735569
0.05103.9923867139280.173351997847719
0.06104.0743962766940.187081597124165
0.07104.1556384847010.207697219048717
0.08104.2386533493000.232038874041139
0.09104.3249889511210.257138799719936
0.1104.4151790789150.281477911704503
0.11104.5091183868160.304592488556456
0.12104.6064139609910.326186586029895
0.13104.7065764947830.34609028975672
0.14104.8090894179580.364046728223673
0.15104.9134319845140.379791230024505
0.16105.0191072654520.393394431184521
0.17105.1256925219290.405135726713958
0.18105.2329057514780.415953422846596
0.19105.3406701518150.426702698375619
0.2105.4491560064480.438688515322867
0.21105.5587843503720.453170560473734
0.22105.6701855089350.47099154189841
0.23105.7841154785920.492560400473973
0.24105.9013424780940.517768381013005
0.25106.0225237335650.545618359258142
0.26106.1480972067840.57475706585666
0.27106.2782126376300.603340067098798
0.28106.4127196446350.62983686641963
0.29106.5512182924920.653226792651818
0.3106.6931624229820.673164555578612
0.31106.8379925895460.68998786665754
0.32106.9852678286570.704841347859378
0.33107.1347660118660.71940323783294
0.34107.2865307079400.735195847624684
0.35107.4408555768080.753676471671044
0.36107.5982114464010.775091555209244
0.37107.7591328215180.799852952235614
0.38107.9240873659580.82674344813994
0.39108.0933532194790.854341605952452
0.4108.2669255323350.880846720208425
0.41108.4444667750980.904194276526546
0.42108.6253069032920.92256373818156
0.43108.8084909042030.934606621530644
0.44108.992863932680.939592248022096
0.45109.1771791289160.937403311696842
0.46109.3602109043740.928389174635391
0.47109.5408571435200.913742262725798
0.48109.7182170754250.894619696146084
0.49109.8916367458700.872633686279775
0.5110.0607199877820.84913686688446
0.51110.2253083985290.825243646945454
0.52110.3854381259190.80212619331275
0.53110.5412836561360.78007336636837
0.54110.6930991482900.759443358700545
0.55110.8411664310450.739967193517883
0.56110.9857560950480.721934776778471
0.57111.1271048276610.704498109436144
0.58111.2654088814370.687670689181965
0.59111.4008308812380.671106160801166
0.6111.5335154280620.655197070397132
0.61111.6636083105430.639620206707329
0.62111.7912745122920.624624929562694
0.63111.9167113123470.610550034580737
0.64112.0401541909630.597295047912651
0.65112.1618745604810.585484370615779
0.66112.2821693057780.574969703825317
0.67112.4013427915140.565740714294712
0.68112.5196826840980.557787576015108
0.69112.6374320279150.550798669826726
0.7112.7547616763670.544325605728763
0.71112.8717491148420.537778216594306
0.72112.9883711205600.530786388099618
0.73113.1045175153290.522708572002744
0.74113.2200306354080.51321974249688
0.75113.3347699543760.502380421055874
0.76113.4486944192330.490912627480903
0.77113.5619481459940.479562411675836
0.78113.6749300147100.469673230057492
0.79113.7883258413530.46259190921309
0.8113.9030840264460.459401499302386
0.81114.020322500570.460794669962219
0.82114.1411672179650.466307805273958
0.83114.2665409303520.474698703404603
0.84114.3969437703560.483737897999535
0.85114.5322875692860.490380832686001
0.86114.6718513212720.49182082638997
0.87114.8144017655780.486055983562926
0.88114.9584654010070.472610206152276
0.89115.1026618015940.452880655749887
0.9115.2459528940250.429184186518379
0.91115.3876775896460.403699482659063
0.92115.5273448502110.37704532444819
0.93115.6643044942480.348235376813813
0.94115.7975231988250.315583285064439
0.95115.9257855977240.278205854720326
0.96116.0488476707260.236842490775165
0.97116.1697640446660.196280799783275
0.98116.2949324310740.175477254986022
0.99116.4210466751870.201652728609848

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.647652717661 & 0.108720867369532 \tabularnewline
0.02 & 103.727241014137 & 0.134759989297791 \tabularnewline
0.03 & 103.817462981878 & 0.156215835515734 \tabularnewline
0.04 & 103.907006183748 & 0.165928043735569 \tabularnewline
0.05 & 103.992386713928 & 0.173351997847719 \tabularnewline
0.06 & 104.074396276694 & 0.187081597124165 \tabularnewline
0.07 & 104.155638484701 & 0.207697219048717 \tabularnewline
0.08 & 104.238653349300 & 0.232038874041139 \tabularnewline
0.09 & 104.324988951121 & 0.257138799719936 \tabularnewline
0.1 & 104.415179078915 & 0.281477911704503 \tabularnewline
0.11 & 104.509118386816 & 0.304592488556456 \tabularnewline
0.12 & 104.606413960991 & 0.326186586029895 \tabularnewline
0.13 & 104.706576494783 & 0.34609028975672 \tabularnewline
0.14 & 104.809089417958 & 0.364046728223673 \tabularnewline
0.15 & 104.913431984514 & 0.379791230024505 \tabularnewline
0.16 & 105.019107265452 & 0.393394431184521 \tabularnewline
0.17 & 105.125692521929 & 0.405135726713958 \tabularnewline
0.18 & 105.232905751478 & 0.415953422846596 \tabularnewline
0.19 & 105.340670151815 & 0.426702698375619 \tabularnewline
0.2 & 105.449156006448 & 0.438688515322867 \tabularnewline
0.21 & 105.558784350372 & 0.453170560473734 \tabularnewline
0.22 & 105.670185508935 & 0.47099154189841 \tabularnewline
0.23 & 105.784115478592 & 0.492560400473973 \tabularnewline
0.24 & 105.901342478094 & 0.517768381013005 \tabularnewline
0.25 & 106.022523733565 & 0.545618359258142 \tabularnewline
0.26 & 106.148097206784 & 0.57475706585666 \tabularnewline
0.27 & 106.278212637630 & 0.603340067098798 \tabularnewline
0.28 & 106.412719644635 & 0.62983686641963 \tabularnewline
0.29 & 106.551218292492 & 0.653226792651818 \tabularnewline
0.3 & 106.693162422982 & 0.673164555578612 \tabularnewline
0.31 & 106.837992589546 & 0.68998786665754 \tabularnewline
0.32 & 106.985267828657 & 0.704841347859378 \tabularnewline
0.33 & 107.134766011866 & 0.71940323783294 \tabularnewline
0.34 & 107.286530707940 & 0.735195847624684 \tabularnewline
0.35 & 107.440855576808 & 0.753676471671044 \tabularnewline
0.36 & 107.598211446401 & 0.775091555209244 \tabularnewline
0.37 & 107.759132821518 & 0.799852952235614 \tabularnewline
0.38 & 107.924087365958 & 0.82674344813994 \tabularnewline
0.39 & 108.093353219479 & 0.854341605952452 \tabularnewline
0.4 & 108.266925532335 & 0.880846720208425 \tabularnewline
0.41 & 108.444466775098 & 0.904194276526546 \tabularnewline
0.42 & 108.625306903292 & 0.92256373818156 \tabularnewline
0.43 & 108.808490904203 & 0.934606621530644 \tabularnewline
0.44 & 108.99286393268 & 0.939592248022096 \tabularnewline
0.45 & 109.177179128916 & 0.937403311696842 \tabularnewline
0.46 & 109.360210904374 & 0.928389174635391 \tabularnewline
0.47 & 109.540857143520 & 0.913742262725798 \tabularnewline
0.48 & 109.718217075425 & 0.894619696146084 \tabularnewline
0.49 & 109.891636745870 & 0.872633686279775 \tabularnewline
0.5 & 110.060719987782 & 0.84913686688446 \tabularnewline
0.51 & 110.225308398529 & 0.825243646945454 \tabularnewline
0.52 & 110.385438125919 & 0.80212619331275 \tabularnewline
0.53 & 110.541283656136 & 0.78007336636837 \tabularnewline
0.54 & 110.693099148290 & 0.759443358700545 \tabularnewline
0.55 & 110.841166431045 & 0.739967193517883 \tabularnewline
0.56 & 110.985756095048 & 0.721934776778471 \tabularnewline
0.57 & 111.127104827661 & 0.704498109436144 \tabularnewline
0.58 & 111.265408881437 & 0.687670689181965 \tabularnewline
0.59 & 111.400830881238 & 0.671106160801166 \tabularnewline
0.6 & 111.533515428062 & 0.655197070397132 \tabularnewline
0.61 & 111.663608310543 & 0.639620206707329 \tabularnewline
0.62 & 111.791274512292 & 0.624624929562694 \tabularnewline
0.63 & 111.916711312347 & 0.610550034580737 \tabularnewline
0.64 & 112.040154190963 & 0.597295047912651 \tabularnewline
0.65 & 112.161874560481 & 0.585484370615779 \tabularnewline
0.66 & 112.282169305778 & 0.574969703825317 \tabularnewline
0.67 & 112.401342791514 & 0.565740714294712 \tabularnewline
0.68 & 112.519682684098 & 0.557787576015108 \tabularnewline
0.69 & 112.637432027915 & 0.550798669826726 \tabularnewline
0.7 & 112.754761676367 & 0.544325605728763 \tabularnewline
0.71 & 112.871749114842 & 0.537778216594306 \tabularnewline
0.72 & 112.988371120560 & 0.530786388099618 \tabularnewline
0.73 & 113.104517515329 & 0.522708572002744 \tabularnewline
0.74 & 113.220030635408 & 0.51321974249688 \tabularnewline
0.75 & 113.334769954376 & 0.502380421055874 \tabularnewline
0.76 & 113.448694419233 & 0.490912627480903 \tabularnewline
0.77 & 113.561948145994 & 0.479562411675836 \tabularnewline
0.78 & 113.674930014710 & 0.469673230057492 \tabularnewline
0.79 & 113.788325841353 & 0.46259190921309 \tabularnewline
0.8 & 113.903084026446 & 0.459401499302386 \tabularnewline
0.81 & 114.02032250057 & 0.460794669962219 \tabularnewline
0.82 & 114.141167217965 & 0.466307805273958 \tabularnewline
0.83 & 114.266540930352 & 0.474698703404603 \tabularnewline
0.84 & 114.396943770356 & 0.483737897999535 \tabularnewline
0.85 & 114.532287569286 & 0.490380832686001 \tabularnewline
0.86 & 114.671851321272 & 0.49182082638997 \tabularnewline
0.87 & 114.814401765578 & 0.486055983562926 \tabularnewline
0.88 & 114.958465401007 & 0.472610206152276 \tabularnewline
0.89 & 115.102661801594 & 0.452880655749887 \tabularnewline
0.9 & 115.245952894025 & 0.429184186518379 \tabularnewline
0.91 & 115.387677589646 & 0.403699482659063 \tabularnewline
0.92 & 115.527344850211 & 0.37704532444819 \tabularnewline
0.93 & 115.664304494248 & 0.348235376813813 \tabularnewline
0.94 & 115.797523198825 & 0.315583285064439 \tabularnewline
0.95 & 115.925785597724 & 0.278205854720326 \tabularnewline
0.96 & 116.048847670726 & 0.236842490775165 \tabularnewline
0.97 & 116.169764044666 & 0.196280799783275 \tabularnewline
0.98 & 116.294932431074 & 0.175477254986022 \tabularnewline
0.99 & 116.421046675187 & 0.201652728609848 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9137&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]103.647652717661[/C][C]0.108720867369532[/C][/ROW]
[ROW][C]0.02[/C][C]103.727241014137[/C][C]0.134759989297791[/C][/ROW]
[ROW][C]0.03[/C][C]103.817462981878[/C][C]0.156215835515734[/C][/ROW]
[ROW][C]0.04[/C][C]103.907006183748[/C][C]0.165928043735569[/C][/ROW]
[ROW][C]0.05[/C][C]103.992386713928[/C][C]0.173351997847719[/C][/ROW]
[ROW][C]0.06[/C][C]104.074396276694[/C][C]0.187081597124165[/C][/ROW]
[ROW][C]0.07[/C][C]104.155638484701[/C][C]0.207697219048717[/C][/ROW]
[ROW][C]0.08[/C][C]104.238653349300[/C][C]0.232038874041139[/C][/ROW]
[ROW][C]0.09[/C][C]104.324988951121[/C][C]0.257138799719936[/C][/ROW]
[ROW][C]0.1[/C][C]104.415179078915[/C][C]0.281477911704503[/C][/ROW]
[ROW][C]0.11[/C][C]104.509118386816[/C][C]0.304592488556456[/C][/ROW]
[ROW][C]0.12[/C][C]104.606413960991[/C][C]0.326186586029895[/C][/ROW]
[ROW][C]0.13[/C][C]104.706576494783[/C][C]0.34609028975672[/C][/ROW]
[ROW][C]0.14[/C][C]104.809089417958[/C][C]0.364046728223673[/C][/ROW]
[ROW][C]0.15[/C][C]104.913431984514[/C][C]0.379791230024505[/C][/ROW]
[ROW][C]0.16[/C][C]105.019107265452[/C][C]0.393394431184521[/C][/ROW]
[ROW][C]0.17[/C][C]105.125692521929[/C][C]0.405135726713958[/C][/ROW]
[ROW][C]0.18[/C][C]105.232905751478[/C][C]0.415953422846596[/C][/ROW]
[ROW][C]0.19[/C][C]105.340670151815[/C][C]0.426702698375619[/C][/ROW]
[ROW][C]0.2[/C][C]105.449156006448[/C][C]0.438688515322867[/C][/ROW]
[ROW][C]0.21[/C][C]105.558784350372[/C][C]0.453170560473734[/C][/ROW]
[ROW][C]0.22[/C][C]105.670185508935[/C][C]0.47099154189841[/C][/ROW]
[ROW][C]0.23[/C][C]105.784115478592[/C][C]0.492560400473973[/C][/ROW]
[ROW][C]0.24[/C][C]105.901342478094[/C][C]0.517768381013005[/C][/ROW]
[ROW][C]0.25[/C][C]106.022523733565[/C][C]0.545618359258142[/C][/ROW]
[ROW][C]0.26[/C][C]106.148097206784[/C][C]0.57475706585666[/C][/ROW]
[ROW][C]0.27[/C][C]106.278212637630[/C][C]0.603340067098798[/C][/ROW]
[ROW][C]0.28[/C][C]106.412719644635[/C][C]0.62983686641963[/C][/ROW]
[ROW][C]0.29[/C][C]106.551218292492[/C][C]0.653226792651818[/C][/ROW]
[ROW][C]0.3[/C][C]106.693162422982[/C][C]0.673164555578612[/C][/ROW]
[ROW][C]0.31[/C][C]106.837992589546[/C][C]0.68998786665754[/C][/ROW]
[ROW][C]0.32[/C][C]106.985267828657[/C][C]0.704841347859378[/C][/ROW]
[ROW][C]0.33[/C][C]107.134766011866[/C][C]0.71940323783294[/C][/ROW]
[ROW][C]0.34[/C][C]107.286530707940[/C][C]0.735195847624684[/C][/ROW]
[ROW][C]0.35[/C][C]107.440855576808[/C][C]0.753676471671044[/C][/ROW]
[ROW][C]0.36[/C][C]107.598211446401[/C][C]0.775091555209244[/C][/ROW]
[ROW][C]0.37[/C][C]107.759132821518[/C][C]0.799852952235614[/C][/ROW]
[ROW][C]0.38[/C][C]107.924087365958[/C][C]0.82674344813994[/C][/ROW]
[ROW][C]0.39[/C][C]108.093353219479[/C][C]0.854341605952452[/C][/ROW]
[ROW][C]0.4[/C][C]108.266925532335[/C][C]0.880846720208425[/C][/ROW]
[ROW][C]0.41[/C][C]108.444466775098[/C][C]0.904194276526546[/C][/ROW]
[ROW][C]0.42[/C][C]108.625306903292[/C][C]0.92256373818156[/C][/ROW]
[ROW][C]0.43[/C][C]108.808490904203[/C][C]0.934606621530644[/C][/ROW]
[ROW][C]0.44[/C][C]108.99286393268[/C][C]0.939592248022096[/C][/ROW]
[ROW][C]0.45[/C][C]109.177179128916[/C][C]0.937403311696842[/C][/ROW]
[ROW][C]0.46[/C][C]109.360210904374[/C][C]0.928389174635391[/C][/ROW]
[ROW][C]0.47[/C][C]109.540857143520[/C][C]0.913742262725798[/C][/ROW]
[ROW][C]0.48[/C][C]109.718217075425[/C][C]0.894619696146084[/C][/ROW]
[ROW][C]0.49[/C][C]109.891636745870[/C][C]0.872633686279775[/C][/ROW]
[ROW][C]0.5[/C][C]110.060719987782[/C][C]0.84913686688446[/C][/ROW]
[ROW][C]0.51[/C][C]110.225308398529[/C][C]0.825243646945454[/C][/ROW]
[ROW][C]0.52[/C][C]110.385438125919[/C][C]0.80212619331275[/C][/ROW]
[ROW][C]0.53[/C][C]110.541283656136[/C][C]0.78007336636837[/C][/ROW]
[ROW][C]0.54[/C][C]110.693099148290[/C][C]0.759443358700545[/C][/ROW]
[ROW][C]0.55[/C][C]110.841166431045[/C][C]0.739967193517883[/C][/ROW]
[ROW][C]0.56[/C][C]110.985756095048[/C][C]0.721934776778471[/C][/ROW]
[ROW][C]0.57[/C][C]111.127104827661[/C][C]0.704498109436144[/C][/ROW]
[ROW][C]0.58[/C][C]111.265408881437[/C][C]0.687670689181965[/C][/ROW]
[ROW][C]0.59[/C][C]111.400830881238[/C][C]0.671106160801166[/C][/ROW]
[ROW][C]0.6[/C][C]111.533515428062[/C][C]0.655197070397132[/C][/ROW]
[ROW][C]0.61[/C][C]111.663608310543[/C][C]0.639620206707329[/C][/ROW]
[ROW][C]0.62[/C][C]111.791274512292[/C][C]0.624624929562694[/C][/ROW]
[ROW][C]0.63[/C][C]111.916711312347[/C][C]0.610550034580737[/C][/ROW]
[ROW][C]0.64[/C][C]112.040154190963[/C][C]0.597295047912651[/C][/ROW]
[ROW][C]0.65[/C][C]112.161874560481[/C][C]0.585484370615779[/C][/ROW]
[ROW][C]0.66[/C][C]112.282169305778[/C][C]0.574969703825317[/C][/ROW]
[ROW][C]0.67[/C][C]112.401342791514[/C][C]0.565740714294712[/C][/ROW]
[ROW][C]0.68[/C][C]112.519682684098[/C][C]0.557787576015108[/C][/ROW]
[ROW][C]0.69[/C][C]112.637432027915[/C][C]0.550798669826726[/C][/ROW]
[ROW][C]0.7[/C][C]112.754761676367[/C][C]0.544325605728763[/C][/ROW]
[ROW][C]0.71[/C][C]112.871749114842[/C][C]0.537778216594306[/C][/ROW]
[ROW][C]0.72[/C][C]112.988371120560[/C][C]0.530786388099618[/C][/ROW]
[ROW][C]0.73[/C][C]113.104517515329[/C][C]0.522708572002744[/C][/ROW]
[ROW][C]0.74[/C][C]113.220030635408[/C][C]0.51321974249688[/C][/ROW]
[ROW][C]0.75[/C][C]113.334769954376[/C][C]0.502380421055874[/C][/ROW]
[ROW][C]0.76[/C][C]113.448694419233[/C][C]0.490912627480903[/C][/ROW]
[ROW][C]0.77[/C][C]113.561948145994[/C][C]0.479562411675836[/C][/ROW]
[ROW][C]0.78[/C][C]113.674930014710[/C][C]0.469673230057492[/C][/ROW]
[ROW][C]0.79[/C][C]113.788325841353[/C][C]0.46259190921309[/C][/ROW]
[ROW][C]0.8[/C][C]113.903084026446[/C][C]0.459401499302386[/C][/ROW]
[ROW][C]0.81[/C][C]114.02032250057[/C][C]0.460794669962219[/C][/ROW]
[ROW][C]0.82[/C][C]114.141167217965[/C][C]0.466307805273958[/C][/ROW]
[ROW][C]0.83[/C][C]114.266540930352[/C][C]0.474698703404603[/C][/ROW]
[ROW][C]0.84[/C][C]114.396943770356[/C][C]0.483737897999535[/C][/ROW]
[ROW][C]0.85[/C][C]114.532287569286[/C][C]0.490380832686001[/C][/ROW]
[ROW][C]0.86[/C][C]114.671851321272[/C][C]0.49182082638997[/C][/ROW]
[ROW][C]0.87[/C][C]114.814401765578[/C][C]0.486055983562926[/C][/ROW]
[ROW][C]0.88[/C][C]114.958465401007[/C][C]0.472610206152276[/C][/ROW]
[ROW][C]0.89[/C][C]115.102661801594[/C][C]0.452880655749887[/C][/ROW]
[ROW][C]0.9[/C][C]115.245952894025[/C][C]0.429184186518379[/C][/ROW]
[ROW][C]0.91[/C][C]115.387677589646[/C][C]0.403699482659063[/C][/ROW]
[ROW][C]0.92[/C][C]115.527344850211[/C][C]0.37704532444819[/C][/ROW]
[ROW][C]0.93[/C][C]115.664304494248[/C][C]0.348235376813813[/C][/ROW]
[ROW][C]0.94[/C][C]115.797523198825[/C][C]0.315583285064439[/C][/ROW]
[ROW][C]0.95[/C][C]115.925785597724[/C][C]0.278205854720326[/C][/ROW]
[ROW][C]0.96[/C][C]116.048847670726[/C][C]0.236842490775165[/C][/ROW]
[ROW][C]0.97[/C][C]116.169764044666[/C][C]0.196280799783275[/C][/ROW]
[ROW][C]0.98[/C][C]116.294932431074[/C][C]0.175477254986022[/C][/ROW]
[ROW][C]0.99[/C][C]116.421046675187[/C][C]0.201652728609848[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9137&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
0.01103.6476527176610.108720867369532
0.02103.7272410141370.134759989297791
0.03103.8174629818780.156215835515734
0.04103.9070061837480.165928043735569
0.05103.9923867139280.173351997847719
0.06104.0743962766940.187081597124165
0.07104.1556384847010.207697219048717
0.08104.2386533493000.232038874041139
0.09104.3249889511210.257138799719936
0.1104.4151790789150.281477911704503
0.11104.5091183868160.304592488556456
0.12104.6064139609910.326186586029895
0.13104.7065764947830.34609028975672
0.14104.8090894179580.364046728223673
0.15104.9134319845140.379791230024505
0.16105.0191072654520.393394431184521
0.17105.1256925219290.405135726713958
0.18105.2329057514780.415953422846596
0.19105.3406701518150.426702698375619
0.2105.4491560064480.438688515322867
0.21105.5587843503720.453170560473734
0.22105.6701855089350.47099154189841
0.23105.7841154785920.492560400473973
0.24105.9013424780940.517768381013005
0.25106.0225237335650.545618359258142
0.26106.1480972067840.57475706585666
0.27106.2782126376300.603340067098798
0.28106.4127196446350.62983686641963
0.29106.5512182924920.653226792651818
0.3106.6931624229820.673164555578612
0.31106.8379925895460.68998786665754
0.32106.9852678286570.704841347859378
0.33107.1347660118660.71940323783294
0.34107.2865307079400.735195847624684
0.35107.4408555768080.753676471671044
0.36107.5982114464010.775091555209244
0.37107.7591328215180.799852952235614
0.38107.9240873659580.82674344813994
0.39108.0933532194790.854341605952452
0.4108.2669255323350.880846720208425
0.41108.4444667750980.904194276526546
0.42108.6253069032920.92256373818156
0.43108.8084909042030.934606621530644
0.44108.992863932680.939592248022096
0.45109.1771791289160.937403311696842
0.46109.3602109043740.928389174635391
0.47109.5408571435200.913742262725798
0.48109.7182170754250.894619696146084
0.49109.8916367458700.872633686279775
0.5110.0607199877820.84913686688446
0.51110.2253083985290.825243646945454
0.52110.3854381259190.80212619331275
0.53110.5412836561360.78007336636837
0.54110.6930991482900.759443358700545
0.55110.8411664310450.739967193517883
0.56110.9857560950480.721934776778471
0.57111.1271048276610.704498109436144
0.58111.2654088814370.687670689181965
0.59111.4008308812380.671106160801166
0.6111.5335154280620.655197070397132
0.61111.6636083105430.639620206707329
0.62111.7912745122920.624624929562694
0.63111.9167113123470.610550034580737
0.64112.0401541909630.597295047912651
0.65112.1618745604810.585484370615779
0.66112.2821693057780.574969703825317
0.67112.4013427915140.565740714294712
0.68112.5196826840980.557787576015108
0.69112.6374320279150.550798669826726
0.7112.7547616763670.544325605728763
0.71112.8717491148420.537778216594306
0.72112.9883711205600.530786388099618
0.73113.1045175153290.522708572002744
0.74113.2200306354080.51321974249688
0.75113.3347699543760.502380421055874
0.76113.4486944192330.490912627480903
0.77113.5619481459940.479562411675836
0.78113.6749300147100.469673230057492
0.79113.7883258413530.46259190921309
0.8113.9030840264460.459401499302386
0.81114.020322500570.460794669962219
0.82114.1411672179650.466307805273958
0.83114.2665409303520.474698703404603
0.84114.3969437703560.483737897999535
0.85114.5322875692860.490380832686001
0.86114.6718513212720.49182082638997
0.87114.8144017655780.486055983562926
0.88114.9584654010070.472610206152276
0.89115.1026618015940.452880655749887
0.9115.2459528940250.429184186518379
0.91115.3876775896460.403699482659063
0.92115.5273448502110.37704532444819
0.93115.6643044942480.348235376813813
0.94115.7975231988250.315583285064439
0.95115.9257855977240.278205854720326
0.96116.0488476707260.236842490775165
0.97116.1697640446660.196280799783275
0.98116.2949324310740.175477254986022
0.99116.4210466751870.201652728609848


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')