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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 13:29:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/19/t129017328646cizmkmve0kjs0.htm/, Retrieved Sat, 04 May 2024 04:04:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97973, Retrieved Sat, 04 May 2024 04:04:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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] [TEC] [2010-11-19 13:29:50] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
1.3766765505352E-14
0.0081428573953137
3.8191672047105E-14
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5.3290705182008E-15
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2.6201263381154E-14
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0.0029949108938974
4.4853010194856E-14
4.4853010194856E-14
4.4853010194856E-14
-0.0078055034541555

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97973&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97973&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.04723794076112120.0355097598264927
0.02-0.0101934362193620.00539241369879308
0.03-0.006263527720311910.000264481191767934
0.04-0.006083243874602214.14910073961854e-05
0.05-0.006030748491922129.72106618840298e-05
0.06-0.005909063161333530.000280602967658418
0.07-0.005619223195519580.000633986103038925
0.08-0.005089725925266110.00102393780771561
0.09-0.004363567539540440.00126524425740381
0.1-0.003565782701246280.00130610190460992
0.11-0.002807539432534020.00121696647241263
0.12-0.002137125541131990.00109797795265085
0.13-0.001552563515245990.00100040453501868
0.14-0.001045409222128620.00088599121489029
0.15-0.0006303022125914350.000702199343611716
0.16-0.0003308008302048560.000469932030169381
0.17-0.0001484463590630190.00025920304206557
0.18-5.6443771830819e-050.000117215012293098
0.19-1.81253904616259e-054.35762049700108e-05
0.2-4.91614854255233e-061.33924077298420e-05
0.21-1.12836621840275e-063.42401727698230e-06
0.22-2.19770636452342e-077.32743090969123e-07
0.23-3.64383213493167e-081.32007190969067e-07
0.24-5.15988385164801e-092.01259365269868e-08
0.25-6.26077221791602e-102.60915887522744e-09
0.26-6.53026023177334e-112.88881124094659e-10
0.27-5.87878504103775e-122.7426529675504e-11
0.28-4.62825621580147e-132.24319206852973e-12
0.29-3.57293171733968e-141.60238615968875e-13
0.3-5.728711184996e-151.11869918823906e-14
0.31-3.36392737356841e-151.64644025160129e-15
0.32-2.88027533926959e-157.91249199787407e-16
0.33-2.60778411787839e-156.1628490875813e-16
0.34-2.36062977025919e-157.00124416063315e-16
0.35-2.06651988278920e-159.08029620779809e-16
0.36-1.69847098734277e-151.12121747506039e-15
0.37-1.26947894116087e-151.24522251434158e-15
0.38-8.1968365271107e-161.23484966972062e-15
0.39-3.92858452309535e-161.11746948619722e-15
0.4-8.74576374793662e-189.94861829711169e-16
0.413.59180321101442e-161.02890769888912e-15
0.427.93489332524986e-161.39642909830558e-15
0.431.42656688416273e-152.20443290789945e-15
0.442.41587180243826e-153.45452416519002e-15
0.453.90011484427078e-155.01343908840529e-15
0.465.94421934946080e-156.59742493966671e-15
0.478.49380921398794e-157.83293813329116e-15
0.481.13658037420665e-148.38932374082962e-15
0.491.4289888766552e-148.12061117755666e-15
0.51.69891144982692e-147.13400121383801e-15
0.511.92638241108321e-145.74068403213877e-15
0.522.10395281990775e-144.31530558340306e-15
0.532.23597573929629e-143.14472007399985e-15
0.542.33354684473767e-142.34125640703675e-15
0.552.40831624398994e-141.84729366658144e-15
0.562.46831191218374e-141.51845039502370e-15
0.572.51710626121972e-141.23255695355634e-15
0.582.55554676673343e-149.45796661682135e-16
0.592.58419238925515e-146.8071087262262e-16
0.62.60490645775075e-144.86654944435724e-16
0.612.62110542174171e-144.07809476411474e-16
0.622.63712255551298e-144.6186493240985e-16
0.632.65952629727625e-147.39809015315012e-16
0.642.73662906971914e-143.77232428975412e-15
0.653.53112806878990e-144.61799982293204e-14
0.661.33670067552741e-135.64838374232063e-13
0.671.23655819780255e-126.11452814933585e-12
0.681.20983002273743e-115.79186807642097e-11
0.691.05666605308637e-104.78835521433534e-10
0.78.0938636516343e-103.44860552401895e-09
0.715.42202057496777e-092.1595420121946e-08
0.723.17245358293343e-081.17351853463858e-07
0.731.61966260273622e-075.5227858286133e-07
0.747.20958737109821e-072.24642651783997e-06
0.752.79665997451723e-067.88168371052898e-06
0.769.45304161527337e-062.38058514896099e-05
0.772.78549443817665e-056.17818168826749e-05
0.787.16406957121737e-050.000137528945141387
0.790.0001611965579612710.000262246368750454
0.80.0003185954194441250.000428277496728016
0.810.0005568076822848710.000600708230393378
0.820.0008696641355839770.000730902901385353
0.830.001233113710604290.000790732916023877
0.840.001620604883183990.000797194951234016
0.850.002020318308233930.00079609462055519
0.860.002439705985990240.000821646763315345
0.870.002899427345039090.000887233671386362
0.880.003425794843326820.000995757793349846
0.890.004032554387946630.00110354635788414
0.90.004683629112571170.00109588412897278
0.910.005276926598045380.000884426581004913
0.920.005702647499381580.000538930150192125
0.930.005933879292976510.000241100761737987
0.940.006036858852333289.39501652452908e-05
0.950.006112825881631649.79473813820297e-05
0.960.006384722458910820.000444523110315544
0.970.007913147103284290.00214934729393071
0.980.01605102448045450.00972002374156797
0.990.0440495926816260.0199299440136345

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0472379407611212 & 0.0355097598264927 \tabularnewline
0.02 & -0.010193436219362 & 0.00539241369879308 \tabularnewline
0.03 & -0.00626352772031191 & 0.000264481191767934 \tabularnewline
0.04 & -0.00608324387460221 & 4.14910073961854e-05 \tabularnewline
0.05 & -0.00603074849192212 & 9.72106618840298e-05 \tabularnewline
0.06 & -0.00590906316133353 & 0.000280602967658418 \tabularnewline
0.07 & -0.00561922319551958 & 0.000633986103038925 \tabularnewline
0.08 & -0.00508972592526611 & 0.00102393780771561 \tabularnewline
0.09 & -0.00436356753954044 & 0.00126524425740381 \tabularnewline
0.1 & -0.00356578270124628 & 0.00130610190460992 \tabularnewline
0.11 & -0.00280753943253402 & 0.00121696647241263 \tabularnewline
0.12 & -0.00213712554113199 & 0.00109797795265085 \tabularnewline
0.13 & -0.00155256351524599 & 0.00100040453501868 \tabularnewline
0.14 & -0.00104540922212862 & 0.00088599121489029 \tabularnewline
0.15 & -0.000630302212591435 & 0.000702199343611716 \tabularnewline
0.16 & -0.000330800830204856 & 0.000469932030169381 \tabularnewline
0.17 & -0.000148446359063019 & 0.00025920304206557 \tabularnewline
0.18 & -5.6443771830819e-05 & 0.000117215012293098 \tabularnewline
0.19 & -1.81253904616259e-05 & 4.35762049700108e-05 \tabularnewline
0.2 & -4.91614854255233e-06 & 1.33924077298420e-05 \tabularnewline
0.21 & -1.12836621840275e-06 & 3.42401727698230e-06 \tabularnewline
0.22 & -2.19770636452342e-07 & 7.32743090969123e-07 \tabularnewline
0.23 & -3.64383213493167e-08 & 1.32007190969067e-07 \tabularnewline
0.24 & -5.15988385164801e-09 & 2.01259365269868e-08 \tabularnewline
0.25 & -6.26077221791602e-10 & 2.60915887522744e-09 \tabularnewline
0.26 & -6.53026023177334e-11 & 2.88881124094659e-10 \tabularnewline
0.27 & -5.87878504103775e-12 & 2.7426529675504e-11 \tabularnewline
0.28 & -4.62825621580147e-13 & 2.24319206852973e-12 \tabularnewline
0.29 & -3.57293171733968e-14 & 1.60238615968875e-13 \tabularnewline
0.3 & -5.728711184996e-15 & 1.11869918823906e-14 \tabularnewline
0.31 & -3.36392737356841e-15 & 1.64644025160129e-15 \tabularnewline
0.32 & -2.88027533926959e-15 & 7.91249199787407e-16 \tabularnewline
0.33 & -2.60778411787839e-15 & 6.1628490875813e-16 \tabularnewline
0.34 & -2.36062977025919e-15 & 7.00124416063315e-16 \tabularnewline
0.35 & -2.06651988278920e-15 & 9.08029620779809e-16 \tabularnewline
0.36 & -1.69847098734277e-15 & 1.12121747506039e-15 \tabularnewline
0.37 & -1.26947894116087e-15 & 1.24522251434158e-15 \tabularnewline
0.38 & -8.1968365271107e-16 & 1.23484966972062e-15 \tabularnewline
0.39 & -3.92858452309535e-16 & 1.11746948619722e-15 \tabularnewline
0.4 & -8.74576374793662e-18 & 9.94861829711169e-16 \tabularnewline
0.41 & 3.59180321101442e-16 & 1.02890769888912e-15 \tabularnewline
0.42 & 7.93489332524986e-16 & 1.39642909830558e-15 \tabularnewline
0.43 & 1.42656688416273e-15 & 2.20443290789945e-15 \tabularnewline
0.44 & 2.41587180243826e-15 & 3.45452416519002e-15 \tabularnewline
0.45 & 3.90011484427078e-15 & 5.01343908840529e-15 \tabularnewline
0.46 & 5.94421934946080e-15 & 6.59742493966671e-15 \tabularnewline
0.47 & 8.49380921398794e-15 & 7.83293813329116e-15 \tabularnewline
0.48 & 1.13658037420665e-14 & 8.38932374082962e-15 \tabularnewline
0.49 & 1.4289888766552e-14 & 8.12061117755666e-15 \tabularnewline
0.5 & 1.69891144982692e-14 & 7.13400121383801e-15 \tabularnewline
0.51 & 1.92638241108321e-14 & 5.74068403213877e-15 \tabularnewline
0.52 & 2.10395281990775e-14 & 4.31530558340306e-15 \tabularnewline
0.53 & 2.23597573929629e-14 & 3.14472007399985e-15 \tabularnewline
0.54 & 2.33354684473767e-14 & 2.34125640703675e-15 \tabularnewline
0.55 & 2.40831624398994e-14 & 1.84729366658144e-15 \tabularnewline
0.56 & 2.46831191218374e-14 & 1.51845039502370e-15 \tabularnewline
0.57 & 2.51710626121972e-14 & 1.23255695355634e-15 \tabularnewline
0.58 & 2.55554676673343e-14 & 9.45796661682135e-16 \tabularnewline
0.59 & 2.58419238925515e-14 & 6.8071087262262e-16 \tabularnewline
0.6 & 2.60490645775075e-14 & 4.86654944435724e-16 \tabularnewline
0.61 & 2.62110542174171e-14 & 4.07809476411474e-16 \tabularnewline
0.62 & 2.63712255551298e-14 & 4.6186493240985e-16 \tabularnewline
0.63 & 2.65952629727625e-14 & 7.39809015315012e-16 \tabularnewline
0.64 & 2.73662906971914e-14 & 3.77232428975412e-15 \tabularnewline
0.65 & 3.53112806878990e-14 & 4.61799982293204e-14 \tabularnewline
0.66 & 1.33670067552741e-13 & 5.64838374232063e-13 \tabularnewline
0.67 & 1.23655819780255e-12 & 6.11452814933585e-12 \tabularnewline
0.68 & 1.20983002273743e-11 & 5.79186807642097e-11 \tabularnewline
0.69 & 1.05666605308637e-10 & 4.78835521433534e-10 \tabularnewline
0.7 & 8.0938636516343e-10 & 3.44860552401895e-09 \tabularnewline
0.71 & 5.42202057496777e-09 & 2.1595420121946e-08 \tabularnewline
0.72 & 3.17245358293343e-08 & 1.17351853463858e-07 \tabularnewline
0.73 & 1.61966260273622e-07 & 5.5227858286133e-07 \tabularnewline
0.74 & 7.20958737109821e-07 & 2.24642651783997e-06 \tabularnewline
0.75 & 2.79665997451723e-06 & 7.88168371052898e-06 \tabularnewline
0.76 & 9.45304161527337e-06 & 2.38058514896099e-05 \tabularnewline
0.77 & 2.78549443817665e-05 & 6.17818168826749e-05 \tabularnewline
0.78 & 7.16406957121737e-05 & 0.000137528945141387 \tabularnewline
0.79 & 0.000161196557961271 & 0.000262246368750454 \tabularnewline
0.8 & 0.000318595419444125 & 0.000428277496728016 \tabularnewline
0.81 & 0.000556807682284871 & 0.000600708230393378 \tabularnewline
0.82 & 0.000869664135583977 & 0.000730902901385353 \tabularnewline
0.83 & 0.00123311371060429 & 0.000790732916023877 \tabularnewline
0.84 & 0.00162060488318399 & 0.000797194951234016 \tabularnewline
0.85 & 0.00202031830823393 & 0.00079609462055519 \tabularnewline
0.86 & 0.00243970598599024 & 0.000821646763315345 \tabularnewline
0.87 & 0.00289942734503909 & 0.000887233671386362 \tabularnewline
0.88 & 0.00342579484332682 & 0.000995757793349846 \tabularnewline
0.89 & 0.00403255438794663 & 0.00110354635788414 \tabularnewline
0.9 & 0.00468362911257117 & 0.00109588412897278 \tabularnewline
0.91 & 0.00527692659804538 & 0.000884426581004913 \tabularnewline
0.92 & 0.00570264749938158 & 0.000538930150192125 \tabularnewline
0.93 & 0.00593387929297651 & 0.000241100761737987 \tabularnewline
0.94 & 0.00603685885233328 & 9.39501652452908e-05 \tabularnewline
0.95 & 0.00611282588163164 & 9.79473813820297e-05 \tabularnewline
0.96 & 0.00638472245891082 & 0.000444523110315544 \tabularnewline
0.97 & 0.00791314710328429 & 0.00214934729393071 \tabularnewline
0.98 & 0.0160510244804545 & 0.00972002374156797 \tabularnewline
0.99 & 0.044049592681626 & 0.0199299440136345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97973&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]-0.0472379407611212[/C][C]0.0355097598264927[/C][/ROW]
[ROW][C]0.02[/C][C]-0.010193436219362[/C][C]0.00539241369879308[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00626352772031191[/C][C]0.000264481191767934[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00608324387460221[/C][C]4.14910073961854e-05[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00603074849192212[/C][C]9.72106618840298e-05[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00590906316133353[/C][C]0.000280602967658418[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00561922319551958[/C][C]0.000633986103038925[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00508972592526611[/C][C]0.00102393780771561[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00436356753954044[/C][C]0.00126524425740381[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00356578270124628[/C][C]0.00130610190460992[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00280753943253402[/C][C]0.00121696647241263[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00213712554113199[/C][C]0.00109797795265085[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00155256351524599[/C][C]0.00100040453501868[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00104540922212862[/C][C]0.00088599121489029[/C][/ROW]
[ROW][C]0.15[/C][C]-0.000630302212591435[/C][C]0.000702199343611716[/C][/ROW]
[ROW][C]0.16[/C][C]-0.000330800830204856[/C][C]0.000469932030169381[/C][/ROW]
[ROW][C]0.17[/C][C]-0.000148446359063019[/C][C]0.00025920304206557[/C][/ROW]
[ROW][C]0.18[/C][C]-5.6443771830819e-05[/C][C]0.000117215012293098[/C][/ROW]
[ROW][C]0.19[/C][C]-1.81253904616259e-05[/C][C]4.35762049700108e-05[/C][/ROW]
[ROW][C]0.2[/C][C]-4.91614854255233e-06[/C][C]1.33924077298420e-05[/C][/ROW]
[ROW][C]0.21[/C][C]-1.12836621840275e-06[/C][C]3.42401727698230e-06[/C][/ROW]
[ROW][C]0.22[/C][C]-2.19770636452342e-07[/C][C]7.32743090969123e-07[/C][/ROW]
[ROW][C]0.23[/C][C]-3.64383213493167e-08[/C][C]1.32007190969067e-07[/C][/ROW]
[ROW][C]0.24[/C][C]-5.15988385164801e-09[/C][C]2.01259365269868e-08[/C][/ROW]
[ROW][C]0.25[/C][C]-6.26077221791602e-10[/C][C]2.60915887522744e-09[/C][/ROW]
[ROW][C]0.26[/C][C]-6.53026023177334e-11[/C][C]2.88881124094659e-10[/C][/ROW]
[ROW][C]0.27[/C][C]-5.87878504103775e-12[/C][C]2.7426529675504e-11[/C][/ROW]
[ROW][C]0.28[/C][C]-4.62825621580147e-13[/C][C]2.24319206852973e-12[/C][/ROW]
[ROW][C]0.29[/C][C]-3.57293171733968e-14[/C][C]1.60238615968875e-13[/C][/ROW]
[ROW][C]0.3[/C][C]-5.728711184996e-15[/C][C]1.11869918823906e-14[/C][/ROW]
[ROW][C]0.31[/C][C]-3.36392737356841e-15[/C][C]1.64644025160129e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-2.88027533926959e-15[/C][C]7.91249199787407e-16[/C][/ROW]
[ROW][C]0.33[/C][C]-2.60778411787839e-15[/C][C]6.1628490875813e-16[/C][/ROW]
[ROW][C]0.34[/C][C]-2.36062977025919e-15[/C][C]7.00124416063315e-16[/C][/ROW]
[ROW][C]0.35[/C][C]-2.06651988278920e-15[/C][C]9.08029620779809e-16[/C][/ROW]
[ROW][C]0.36[/C][C]-1.69847098734277e-15[/C][C]1.12121747506039e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-1.26947894116087e-15[/C][C]1.24522251434158e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-8.1968365271107e-16[/C][C]1.23484966972062e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-3.92858452309535e-16[/C][C]1.11746948619722e-15[/C][/ROW]
[ROW][C]0.4[/C][C]-8.74576374793662e-18[/C][C]9.94861829711169e-16[/C][/ROW]
[ROW][C]0.41[/C][C]3.59180321101442e-16[/C][C]1.02890769888912e-15[/C][/ROW]
[ROW][C]0.42[/C][C]7.93489332524986e-16[/C][C]1.39642909830558e-15[/C][/ROW]
[ROW][C]0.43[/C][C]1.42656688416273e-15[/C][C]2.20443290789945e-15[/C][/ROW]
[ROW][C]0.44[/C][C]2.41587180243826e-15[/C][C]3.45452416519002e-15[/C][/ROW]
[ROW][C]0.45[/C][C]3.90011484427078e-15[/C][C]5.01343908840529e-15[/C][/ROW]
[ROW][C]0.46[/C][C]5.94421934946080e-15[/C][C]6.59742493966671e-15[/C][/ROW]
[ROW][C]0.47[/C][C]8.49380921398794e-15[/C][C]7.83293813329116e-15[/C][/ROW]
[ROW][C]0.48[/C][C]1.13658037420665e-14[/C][C]8.38932374082962e-15[/C][/ROW]
[ROW][C]0.49[/C][C]1.4289888766552e-14[/C][C]8.12061117755666e-15[/C][/ROW]
[ROW][C]0.5[/C][C]1.69891144982692e-14[/C][C]7.13400121383801e-15[/C][/ROW]
[ROW][C]0.51[/C][C]1.92638241108321e-14[/C][C]5.74068403213877e-15[/C][/ROW]
[ROW][C]0.52[/C][C]2.10395281990775e-14[/C][C]4.31530558340306e-15[/C][/ROW]
[ROW][C]0.53[/C][C]2.23597573929629e-14[/C][C]3.14472007399985e-15[/C][/ROW]
[ROW][C]0.54[/C][C]2.33354684473767e-14[/C][C]2.34125640703675e-15[/C][/ROW]
[ROW][C]0.55[/C][C]2.40831624398994e-14[/C][C]1.84729366658144e-15[/C][/ROW]
[ROW][C]0.56[/C][C]2.46831191218374e-14[/C][C]1.51845039502370e-15[/C][/ROW]
[ROW][C]0.57[/C][C]2.51710626121972e-14[/C][C]1.23255695355634e-15[/C][/ROW]
[ROW][C]0.58[/C][C]2.55554676673343e-14[/C][C]9.45796661682135e-16[/C][/ROW]
[ROW][C]0.59[/C][C]2.58419238925515e-14[/C][C]6.8071087262262e-16[/C][/ROW]
[ROW][C]0.6[/C][C]2.60490645775075e-14[/C][C]4.86654944435724e-16[/C][/ROW]
[ROW][C]0.61[/C][C]2.62110542174171e-14[/C][C]4.07809476411474e-16[/C][/ROW]
[ROW][C]0.62[/C][C]2.63712255551298e-14[/C][C]4.6186493240985e-16[/C][/ROW]
[ROW][C]0.63[/C][C]2.65952629727625e-14[/C][C]7.39809015315012e-16[/C][/ROW]
[ROW][C]0.64[/C][C]2.73662906971914e-14[/C][C]3.77232428975412e-15[/C][/ROW]
[ROW][C]0.65[/C][C]3.53112806878990e-14[/C][C]4.61799982293204e-14[/C][/ROW]
[ROW][C]0.66[/C][C]1.33670067552741e-13[/C][C]5.64838374232063e-13[/C][/ROW]
[ROW][C]0.67[/C][C]1.23655819780255e-12[/C][C]6.11452814933585e-12[/C][/ROW]
[ROW][C]0.68[/C][C]1.20983002273743e-11[/C][C]5.79186807642097e-11[/C][/ROW]
[ROW][C]0.69[/C][C]1.05666605308637e-10[/C][C]4.78835521433534e-10[/C][/ROW]
[ROW][C]0.7[/C][C]8.0938636516343e-10[/C][C]3.44860552401895e-09[/C][/ROW]
[ROW][C]0.71[/C][C]5.42202057496777e-09[/C][C]2.1595420121946e-08[/C][/ROW]
[ROW][C]0.72[/C][C]3.17245358293343e-08[/C][C]1.17351853463858e-07[/C][/ROW]
[ROW][C]0.73[/C][C]1.61966260273622e-07[/C][C]5.5227858286133e-07[/C][/ROW]
[ROW][C]0.74[/C][C]7.20958737109821e-07[/C][C]2.24642651783997e-06[/C][/ROW]
[ROW][C]0.75[/C][C]2.79665997451723e-06[/C][C]7.88168371052898e-06[/C][/ROW]
[ROW][C]0.76[/C][C]9.45304161527337e-06[/C][C]2.38058514896099e-05[/C][/ROW]
[ROW][C]0.77[/C][C]2.78549443817665e-05[/C][C]6.17818168826749e-05[/C][/ROW]
[ROW][C]0.78[/C][C]7.16406957121737e-05[/C][C]0.000137528945141387[/C][/ROW]
[ROW][C]0.79[/C][C]0.000161196557961271[/C][C]0.000262246368750454[/C][/ROW]
[ROW][C]0.8[/C][C]0.000318595419444125[/C][C]0.000428277496728016[/C][/ROW]
[ROW][C]0.81[/C][C]0.000556807682284871[/C][C]0.000600708230393378[/C][/ROW]
[ROW][C]0.82[/C][C]0.000869664135583977[/C][C]0.000730902901385353[/C][/ROW]
[ROW][C]0.83[/C][C]0.00123311371060429[/C][C]0.000790732916023877[/C][/ROW]
[ROW][C]0.84[/C][C]0.00162060488318399[/C][C]0.000797194951234016[/C][/ROW]
[ROW][C]0.85[/C][C]0.00202031830823393[/C][C]0.00079609462055519[/C][/ROW]
[ROW][C]0.86[/C][C]0.00243970598599024[/C][C]0.000821646763315345[/C][/ROW]
[ROW][C]0.87[/C][C]0.00289942734503909[/C][C]0.000887233671386362[/C][/ROW]
[ROW][C]0.88[/C][C]0.00342579484332682[/C][C]0.000995757793349846[/C][/ROW]
[ROW][C]0.89[/C][C]0.00403255438794663[/C][C]0.00110354635788414[/C][/ROW]
[ROW][C]0.9[/C][C]0.00468362911257117[/C][C]0.00109588412897278[/C][/ROW]
[ROW][C]0.91[/C][C]0.00527692659804538[/C][C]0.000884426581004913[/C][/ROW]
[ROW][C]0.92[/C][C]0.00570264749938158[/C][C]0.000538930150192125[/C][/ROW]
[ROW][C]0.93[/C][C]0.00593387929297651[/C][C]0.000241100761737987[/C][/ROW]
[ROW][C]0.94[/C][C]0.00603685885233328[/C][C]9.39501652452908e-05[/C][/ROW]
[ROW][C]0.95[/C][C]0.00611282588163164[/C][C]9.79473813820297e-05[/C][/ROW]
[ROW][C]0.96[/C][C]0.00638472245891082[/C][C]0.000444523110315544[/C][/ROW]
[ROW][C]0.97[/C][C]0.00791314710328429[/C][C]0.00214934729393071[/C][/ROW]
[ROW][C]0.98[/C][C]0.0160510244804545[/C][C]0.00972002374156797[/C][/ROW]
[ROW][C]0.99[/C][C]0.044049592681626[/C][C]0.0199299440136345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97973&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
0.01-0.04723794076112120.0355097598264927
0.02-0.0101934362193620.00539241369879308
0.03-0.006263527720311910.000264481191767934
0.04-0.006083243874602214.14910073961854e-05
0.05-0.006030748491922129.72106618840298e-05
0.06-0.005909063161333530.000280602967658418
0.07-0.005619223195519580.000633986103038925
0.08-0.005089725925266110.00102393780771561
0.09-0.004363567539540440.00126524425740381
0.1-0.003565782701246280.00130610190460992
0.11-0.002807539432534020.00121696647241263
0.12-0.002137125541131990.00109797795265085
0.13-0.001552563515245990.00100040453501868
0.14-0.001045409222128620.00088599121489029
0.15-0.0006303022125914350.000702199343611716
0.16-0.0003308008302048560.000469932030169381
0.17-0.0001484463590630190.00025920304206557
0.18-5.6443771830819e-050.000117215012293098
0.19-1.81253904616259e-054.35762049700108e-05
0.2-4.91614854255233e-061.33924077298420e-05
0.21-1.12836621840275e-063.42401727698230e-06
0.22-2.19770636452342e-077.32743090969123e-07
0.23-3.64383213493167e-081.32007190969067e-07
0.24-5.15988385164801e-092.01259365269868e-08
0.25-6.26077221791602e-102.60915887522744e-09
0.26-6.53026023177334e-112.88881124094659e-10
0.27-5.87878504103775e-122.7426529675504e-11
0.28-4.62825621580147e-132.24319206852973e-12
0.29-3.57293171733968e-141.60238615968875e-13
0.3-5.728711184996e-151.11869918823906e-14
0.31-3.36392737356841e-151.64644025160129e-15
0.32-2.88027533926959e-157.91249199787407e-16
0.33-2.60778411787839e-156.1628490875813e-16
0.34-2.36062977025919e-157.00124416063315e-16
0.35-2.06651988278920e-159.08029620779809e-16
0.36-1.69847098734277e-151.12121747506039e-15
0.37-1.26947894116087e-151.24522251434158e-15
0.38-8.1968365271107e-161.23484966972062e-15
0.39-3.92858452309535e-161.11746948619722e-15
0.4-8.74576374793662e-189.94861829711169e-16
0.413.59180321101442e-161.02890769888912e-15
0.427.93489332524986e-161.39642909830558e-15
0.431.42656688416273e-152.20443290789945e-15
0.442.41587180243826e-153.45452416519002e-15
0.453.90011484427078e-155.01343908840529e-15
0.465.94421934946080e-156.59742493966671e-15
0.478.49380921398794e-157.83293813329116e-15
0.481.13658037420665e-148.38932374082962e-15
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0.582.55554676673343e-149.45796661682135e-16
0.592.58419238925515e-146.8071087262262e-16
0.62.60490645775075e-144.86654944435724e-16
0.612.62110542174171e-144.07809476411474e-16
0.622.63712255551298e-144.6186493240985e-16
0.632.65952629727625e-147.39809015315012e-16
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0.653.53112806878990e-144.61799982293204e-14
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0.671.23655819780255e-126.11452814933585e-12
0.681.20983002273743e-115.79186807642097e-11
0.691.05666605308637e-104.78835521433534e-10
0.78.0938636516343e-103.44860552401895e-09
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0.723.17245358293343e-081.17351853463858e-07
0.731.61966260273622e-075.5227858286133e-07
0.747.20958737109821e-072.24642651783997e-06
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0.910.005276926598045380.000884426581004913
0.920.005702647499381580.000538930150192125
0.930.005933879292976510.000241100761737987
0.940.006036858852333289.39501652452908e-05
0.950.006112825881631649.79473813820297e-05
0.960.006384722458910820.000444523110315544
0.970.007913147103284290.00214934729393071
0.980.01605102448045450.00972002374156797
0.990.0440495926816260.0199299440136345


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')