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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 13:37:25 +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/t1290173755c0b0n690o9kb0ay.htm/, Retrieved Fri, 03 May 2024 16:30:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97979, Retrieved Fri, 03 May 2024 16:30:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [GUN] [2010-11-19 13:37:25] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
1.7319479184152E-14
1.7319479184152E-14
1.7319479184152E-14
1.7319479184152E-14
0.0060180723255177
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-4.5741188614556E-14
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0.0090863825559562
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0.008163310639199
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3.8191672047105E-14
3.8191672047105E-14
3.8191672047105E-14
-0.0081633106391621

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97979&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]3 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=97979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97979&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.07773421575860610.064476840061485
0.02-0.01167243514528190.00202796104544180
0.03-0.01008856278326492.54899736534603e-05
0.04-0.01007040217507591.22443594839092e-06
0.05-0.01006709973017021.2290342519587e-05
0.06-0.01004600302678646.72391930417635e-05
0.07-0.009964213070332990.00021870629488241
0.08-0.00976017843777880.000463676345815327
0.09-0.009406273931124980.0007010292511961
0.1-0.008936107918750870.000864242300023163
0.11-0.008375859450304640.00108574429563632
0.12-0.00765684518115640.00158310081728751
0.13-0.006651121329091890.00230980108832628
0.14-0.005323287622650040.00290405916227844
0.15-0.003827852517727210.0030004078689955
0.16-0.002433946082191860.00254253011906491
0.17-0.001357563010286010.00178645994192247
0.18-0.0006621107566660150.00105399291584916
0.19-0.0002821034894289760.000527715866190965
0.2-0.0001049511648922430.000225886627035618
0.21-3.40667874643759e-058.3016678574624e-05
0.22-9.63689449698015e-062.62470544081529e-05
0.23-2.37273400052515e-067.14403179684141e-06
0.24-5.07923980546435e-071.67451823251748e-06
0.25-9.44719223974574e-083.38155591591217e-07
0.26-1.52651238576888e-085.88816044549217e-08
0.27-2.14360566692352e-098.85127340879606e-09
0.28-2.61804876612554e-101.15044070158583e-09
0.29-2.78450449714924e-111.29519020389732e-10
0.3-2.58571786723222e-121.26585499647820e-11
0.31-2.11049083313144e-131.08037642090937e-12
0.32-1.39480529592395e-148.49391928563164e-14
0.332.82727686824247e-151.14894880182451e-14
0.346.4981227903859e-157.47938173540204e-15
0.359.28339494662123e-157.22186950717682e-15
0.361.19648646816483e-147.09102280128468e-15
0.371.454192502835e-146.77114603086108e-15
0.381.69224867344369e-146.12756170100888e-15
0.391.89878566589967e-145.14202991256657e-15
0.42.06401677469397e-143.93805820105111e-15
0.412.18431019382521e-142.72416975913836e-15
0.422.26333018242797e-141.69154394654578e-15
0.432.30992429846401e-149.3945682823465e-16
0.442.33451233927758e-144.65743951583768e-16
0.452.34610482903744e-142.05881467037497e-16
0.462.35098306079901e-148.10950149051803e-17
0.472.35281420242771e-142.84446195142949e-17
0.482.35342726187738e-148.89251191670115e-18
0.492.35361129542639e-142.51164915486513e-18
0.52.35366564035224e-148.2939170647188e-19
0.512.35370096822807e-141.29384128056424e-18
0.522.3537907715853e-144.2334793553651e-18
0.532.35407552185280e-141.31028946842374e-17
0.542.35489618823865e-143.60329603816528e-17
0.552.35699690220514e-148.77181830002371e-17
0.562.36176475311286e-141.89051982650616e-16
0.572.37135422515189e-143.60500511138497e-16
0.582.38843593545579e-146.07831890580308e-16
0.592.41536600643783e-149.05452749511296e-16
0.62.45291266587116e-141.19064010076909e-15
0.612.49916592746179e-141.38068904279785e-15
0.622.54945916861539e-141.41032722088253e-15
0.632.59767381708222e-141.26739173060969e-15
0.642.63837440172858e-141.00063388557082e-15
0.652.66865242207335e-146.95353092186583e-16
0.662.68978134141113e-144.75764919860436e-16
0.672.72980199297429e-141.85562437308523e-15
0.683.23427984099633e-142.89575367126655e-14
0.691.07940388726747e-134.22941598434441e-13
0.71.10638482142156e-125.38660995084453e-12
0.711.25867804188227e-115.95859012348876e-11
0.721.27236991971019e-105.71152741931634e-10
0.731.11955672075911e-094.73293828910713e-09
0.748.54747911721368e-093.38274631235363e-08
0.755.65353070250987e-082.08059445708481e-07
0.763.23597363720355e-071.09893233482375e-06
0.771.60172402819131e-064.97523782101817e-06
0.786.8546406184416e-061.92775952861139e-05
0.792.53729919736848e-056.38523549455974e-05
0.88.13196619564154e-050.000180624799129495
0.810.0002260233059053320.000435911113108466
0.820.000545941700066870.000895900451276744
0.830.001148840101715120.00156273757229216
0.840.002112824274121440.00230017843841322
0.850.003411757794055720.00283316912232122
0.860.004875553389227690.00289402478140219
0.870.006250466151411270.00244529852955195
0.880.007344915715351940.00175531239201649
0.890.008138365390036230.0011927843477472
0.90.008740651681025740.000912925038945921
0.910.009246969780941760.000761890161492268
0.920.009653323023904670.000551785220690446
0.930.009912794734761540.000292951529063367
0.940.01002988011615330.000102485155993998
0.950.01006410267693372.14234897960347e-05
0.960.01007052390051052.76466777076821e-06
0.970.01011067750337976.0128259223832e-05
0.980.01202356388339790.0024196197437676
0.990.07698096742593850.0621307769274945

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0777342157586061 & 0.064476840061485 \tabularnewline
0.02 & -0.0116724351452819 & 0.00202796104544180 \tabularnewline
0.03 & -0.0100885627832649 & 2.54899736534603e-05 \tabularnewline
0.04 & -0.0100704021750759 & 1.22443594839092e-06 \tabularnewline
0.05 & -0.0100670997301702 & 1.2290342519587e-05 \tabularnewline
0.06 & -0.0100460030267864 & 6.72391930417635e-05 \tabularnewline
0.07 & -0.00996421307033299 & 0.00021870629488241 \tabularnewline
0.08 & -0.0097601784377788 & 0.000463676345815327 \tabularnewline
0.09 & -0.00940627393112498 & 0.0007010292511961 \tabularnewline
0.1 & -0.00893610791875087 & 0.000864242300023163 \tabularnewline
0.11 & -0.00837585945030464 & 0.00108574429563632 \tabularnewline
0.12 & -0.0076568451811564 & 0.00158310081728751 \tabularnewline
0.13 & -0.00665112132909189 & 0.00230980108832628 \tabularnewline
0.14 & -0.00532328762265004 & 0.00290405916227844 \tabularnewline
0.15 & -0.00382785251772721 & 0.0030004078689955 \tabularnewline
0.16 & -0.00243394608219186 & 0.00254253011906491 \tabularnewline
0.17 & -0.00135756301028601 & 0.00178645994192247 \tabularnewline
0.18 & -0.000662110756666015 & 0.00105399291584916 \tabularnewline
0.19 & -0.000282103489428976 & 0.000527715866190965 \tabularnewline
0.2 & -0.000104951164892243 & 0.000225886627035618 \tabularnewline
0.21 & -3.40667874643759e-05 & 8.3016678574624e-05 \tabularnewline
0.22 & -9.63689449698015e-06 & 2.62470544081529e-05 \tabularnewline
0.23 & -2.37273400052515e-06 & 7.14403179684141e-06 \tabularnewline
0.24 & -5.07923980546435e-07 & 1.67451823251748e-06 \tabularnewline
0.25 & -9.44719223974574e-08 & 3.38155591591217e-07 \tabularnewline
0.26 & -1.52651238576888e-08 & 5.88816044549217e-08 \tabularnewline
0.27 & -2.14360566692352e-09 & 8.85127340879606e-09 \tabularnewline
0.28 & -2.61804876612554e-10 & 1.15044070158583e-09 \tabularnewline
0.29 & -2.78450449714924e-11 & 1.29519020389732e-10 \tabularnewline
0.3 & -2.58571786723222e-12 & 1.26585499647820e-11 \tabularnewline
0.31 & -2.11049083313144e-13 & 1.08037642090937e-12 \tabularnewline
0.32 & -1.39480529592395e-14 & 8.49391928563164e-14 \tabularnewline
0.33 & 2.82727686824247e-15 & 1.14894880182451e-14 \tabularnewline
0.34 & 6.4981227903859e-15 & 7.47938173540204e-15 \tabularnewline
0.35 & 9.28339494662123e-15 & 7.22186950717682e-15 \tabularnewline
0.36 & 1.19648646816483e-14 & 7.09102280128468e-15 \tabularnewline
0.37 & 1.454192502835e-14 & 6.77114603086108e-15 \tabularnewline
0.38 & 1.69224867344369e-14 & 6.12756170100888e-15 \tabularnewline
0.39 & 1.89878566589967e-14 & 5.14202991256657e-15 \tabularnewline
0.4 & 2.06401677469397e-14 & 3.93805820105111e-15 \tabularnewline
0.41 & 2.18431019382521e-14 & 2.72416975913836e-15 \tabularnewline
0.42 & 2.26333018242797e-14 & 1.69154394654578e-15 \tabularnewline
0.43 & 2.30992429846401e-14 & 9.3945682823465e-16 \tabularnewline
0.44 & 2.33451233927758e-14 & 4.65743951583768e-16 \tabularnewline
0.45 & 2.34610482903744e-14 & 2.05881467037497e-16 \tabularnewline
0.46 & 2.35098306079901e-14 & 8.10950149051803e-17 \tabularnewline
0.47 & 2.35281420242771e-14 & 2.84446195142949e-17 \tabularnewline
0.48 & 2.35342726187738e-14 & 8.89251191670115e-18 \tabularnewline
0.49 & 2.35361129542639e-14 & 2.51164915486513e-18 \tabularnewline
0.5 & 2.35366564035224e-14 & 8.2939170647188e-19 \tabularnewline
0.51 & 2.35370096822807e-14 & 1.29384128056424e-18 \tabularnewline
0.52 & 2.3537907715853e-14 & 4.2334793553651e-18 \tabularnewline
0.53 & 2.35407552185280e-14 & 1.31028946842374e-17 \tabularnewline
0.54 & 2.35489618823865e-14 & 3.60329603816528e-17 \tabularnewline
0.55 & 2.35699690220514e-14 & 8.77181830002371e-17 \tabularnewline
0.56 & 2.36176475311286e-14 & 1.89051982650616e-16 \tabularnewline
0.57 & 2.37135422515189e-14 & 3.60500511138497e-16 \tabularnewline
0.58 & 2.38843593545579e-14 & 6.07831890580308e-16 \tabularnewline
0.59 & 2.41536600643783e-14 & 9.05452749511296e-16 \tabularnewline
0.6 & 2.45291266587116e-14 & 1.19064010076909e-15 \tabularnewline
0.61 & 2.49916592746179e-14 & 1.38068904279785e-15 \tabularnewline
0.62 & 2.54945916861539e-14 & 1.41032722088253e-15 \tabularnewline
0.63 & 2.59767381708222e-14 & 1.26739173060969e-15 \tabularnewline
0.64 & 2.63837440172858e-14 & 1.00063388557082e-15 \tabularnewline
0.65 & 2.66865242207335e-14 & 6.95353092186583e-16 \tabularnewline
0.66 & 2.68978134141113e-14 & 4.75764919860436e-16 \tabularnewline
0.67 & 2.72980199297429e-14 & 1.85562437308523e-15 \tabularnewline
0.68 & 3.23427984099633e-14 & 2.89575367126655e-14 \tabularnewline
0.69 & 1.07940388726747e-13 & 4.22941598434441e-13 \tabularnewline
0.7 & 1.10638482142156e-12 & 5.38660995084453e-12 \tabularnewline
0.71 & 1.25867804188227e-11 & 5.95859012348876e-11 \tabularnewline
0.72 & 1.27236991971019e-10 & 5.71152741931634e-10 \tabularnewline
0.73 & 1.11955672075911e-09 & 4.73293828910713e-09 \tabularnewline
0.74 & 8.54747911721368e-09 & 3.38274631235363e-08 \tabularnewline
0.75 & 5.65353070250987e-08 & 2.08059445708481e-07 \tabularnewline
0.76 & 3.23597363720355e-07 & 1.09893233482375e-06 \tabularnewline
0.77 & 1.60172402819131e-06 & 4.97523782101817e-06 \tabularnewline
0.78 & 6.8546406184416e-06 & 1.92775952861139e-05 \tabularnewline
0.79 & 2.53729919736848e-05 & 6.38523549455974e-05 \tabularnewline
0.8 & 8.13196619564154e-05 & 0.000180624799129495 \tabularnewline
0.81 & 0.000226023305905332 & 0.000435911113108466 \tabularnewline
0.82 & 0.00054594170006687 & 0.000895900451276744 \tabularnewline
0.83 & 0.00114884010171512 & 0.00156273757229216 \tabularnewline
0.84 & 0.00211282427412144 & 0.00230017843841322 \tabularnewline
0.85 & 0.00341175779405572 & 0.00283316912232122 \tabularnewline
0.86 & 0.00487555338922769 & 0.00289402478140219 \tabularnewline
0.87 & 0.00625046615141127 & 0.00244529852955195 \tabularnewline
0.88 & 0.00734491571535194 & 0.00175531239201649 \tabularnewline
0.89 & 0.00813836539003623 & 0.0011927843477472 \tabularnewline
0.9 & 0.00874065168102574 & 0.000912925038945921 \tabularnewline
0.91 & 0.00924696978094176 & 0.000761890161492268 \tabularnewline
0.92 & 0.00965332302390467 & 0.000551785220690446 \tabularnewline
0.93 & 0.00991279473476154 & 0.000292951529063367 \tabularnewline
0.94 & 0.0100298801161533 & 0.000102485155993998 \tabularnewline
0.95 & 0.0100641026769337 & 2.14234897960347e-05 \tabularnewline
0.96 & 0.0100705239005105 & 2.76466777076821e-06 \tabularnewline
0.97 & 0.0101106775033797 & 6.0128259223832e-05 \tabularnewline
0.98 & 0.0120235638833979 & 0.0024196197437676 \tabularnewline
0.99 & 0.0769809674259385 & 0.0621307769274945 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97979&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]-0.0777342157586061[/C][C]0.064476840061485[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0116724351452819[/C][C]0.00202796104544180[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0100885627832649[/C][C]2.54899736534603e-05[/C][/ROW]
[ROW][C]0.04[/C][C]-0.0100704021750759[/C][C]1.22443594839092e-06[/C][/ROW]
[ROW][C]0.05[/C][C]-0.0100670997301702[/C][C]1.2290342519587e-05[/C][/ROW]
[ROW][C]0.06[/C][C]-0.0100460030267864[/C][C]6.72391930417635e-05[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00996421307033299[/C][C]0.00021870629488241[/C][/ROW]
[ROW][C]0.08[/C][C]-0.0097601784377788[/C][C]0.000463676345815327[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00940627393112498[/C][C]0.0007010292511961[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00893610791875087[/C][C]0.000864242300023163[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00837585945030464[/C][C]0.00108574429563632[/C][/ROW]
[ROW][C]0.12[/C][C]-0.0076568451811564[/C][C]0.00158310081728751[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00665112132909189[/C][C]0.00230980108832628[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00532328762265004[/C][C]0.00290405916227844[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00382785251772721[/C][C]0.0030004078689955[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00243394608219186[/C][C]0.00254253011906491[/C][/ROW]
[ROW][C]0.17[/C][C]-0.00135756301028601[/C][C]0.00178645994192247[/C][/ROW]
[ROW][C]0.18[/C][C]-0.000662110756666015[/C][C]0.00105399291584916[/C][/ROW]
[ROW][C]0.19[/C][C]-0.000282103489428976[/C][C]0.000527715866190965[/C][/ROW]
[ROW][C]0.2[/C][C]-0.000104951164892243[/C][C]0.000225886627035618[/C][/ROW]
[ROW][C]0.21[/C][C]-3.40667874643759e-05[/C][C]8.3016678574624e-05[/C][/ROW]
[ROW][C]0.22[/C][C]-9.63689449698015e-06[/C][C]2.62470544081529e-05[/C][/ROW]
[ROW][C]0.23[/C][C]-2.37273400052515e-06[/C][C]7.14403179684141e-06[/C][/ROW]
[ROW][C]0.24[/C][C]-5.07923980546435e-07[/C][C]1.67451823251748e-06[/C][/ROW]
[ROW][C]0.25[/C][C]-9.44719223974574e-08[/C][C]3.38155591591217e-07[/C][/ROW]
[ROW][C]0.26[/C][C]-1.52651238576888e-08[/C][C]5.88816044549217e-08[/C][/ROW]
[ROW][C]0.27[/C][C]-2.14360566692352e-09[/C][C]8.85127340879606e-09[/C][/ROW]
[ROW][C]0.28[/C][C]-2.61804876612554e-10[/C][C]1.15044070158583e-09[/C][/ROW]
[ROW][C]0.29[/C][C]-2.78450449714924e-11[/C][C]1.29519020389732e-10[/C][/ROW]
[ROW][C]0.3[/C][C]-2.58571786723222e-12[/C][C]1.26585499647820e-11[/C][/ROW]
[ROW][C]0.31[/C][C]-2.11049083313144e-13[/C][C]1.08037642090937e-12[/C][/ROW]
[ROW][C]0.32[/C][C]-1.39480529592395e-14[/C][C]8.49391928563164e-14[/C][/ROW]
[ROW][C]0.33[/C][C]2.82727686824247e-15[/C][C]1.14894880182451e-14[/C][/ROW]
[ROW][C]0.34[/C][C]6.4981227903859e-15[/C][C]7.47938173540204e-15[/C][/ROW]
[ROW][C]0.35[/C][C]9.28339494662123e-15[/C][C]7.22186950717682e-15[/C][/ROW]
[ROW][C]0.36[/C][C]1.19648646816483e-14[/C][C]7.09102280128468e-15[/C][/ROW]
[ROW][C]0.37[/C][C]1.454192502835e-14[/C][C]6.77114603086108e-15[/C][/ROW]
[ROW][C]0.38[/C][C]1.69224867344369e-14[/C][C]6.12756170100888e-15[/C][/ROW]
[ROW][C]0.39[/C][C]1.89878566589967e-14[/C][C]5.14202991256657e-15[/C][/ROW]
[ROW][C]0.4[/C][C]2.06401677469397e-14[/C][C]3.93805820105111e-15[/C][/ROW]
[ROW][C]0.41[/C][C]2.18431019382521e-14[/C][C]2.72416975913836e-15[/C][/ROW]
[ROW][C]0.42[/C][C]2.26333018242797e-14[/C][C]1.69154394654578e-15[/C][/ROW]
[ROW][C]0.43[/C][C]2.30992429846401e-14[/C][C]9.3945682823465e-16[/C][/ROW]
[ROW][C]0.44[/C][C]2.33451233927758e-14[/C][C]4.65743951583768e-16[/C][/ROW]
[ROW][C]0.45[/C][C]2.34610482903744e-14[/C][C]2.05881467037497e-16[/C][/ROW]
[ROW][C]0.46[/C][C]2.35098306079901e-14[/C][C]8.10950149051803e-17[/C][/ROW]
[ROW][C]0.47[/C][C]2.35281420242771e-14[/C][C]2.84446195142949e-17[/C][/ROW]
[ROW][C]0.48[/C][C]2.35342726187738e-14[/C][C]8.89251191670115e-18[/C][/ROW]
[ROW][C]0.49[/C][C]2.35361129542639e-14[/C][C]2.51164915486513e-18[/C][/ROW]
[ROW][C]0.5[/C][C]2.35366564035224e-14[/C][C]8.2939170647188e-19[/C][/ROW]
[ROW][C]0.51[/C][C]2.35370096822807e-14[/C][C]1.29384128056424e-18[/C][/ROW]
[ROW][C]0.52[/C][C]2.3537907715853e-14[/C][C]4.2334793553651e-18[/C][/ROW]
[ROW][C]0.53[/C][C]2.35407552185280e-14[/C][C]1.31028946842374e-17[/C][/ROW]
[ROW][C]0.54[/C][C]2.35489618823865e-14[/C][C]3.60329603816528e-17[/C][/ROW]
[ROW][C]0.55[/C][C]2.35699690220514e-14[/C][C]8.77181830002371e-17[/C][/ROW]
[ROW][C]0.56[/C][C]2.36176475311286e-14[/C][C]1.89051982650616e-16[/C][/ROW]
[ROW][C]0.57[/C][C]2.37135422515189e-14[/C][C]3.60500511138497e-16[/C][/ROW]
[ROW][C]0.58[/C][C]2.38843593545579e-14[/C][C]6.07831890580308e-16[/C][/ROW]
[ROW][C]0.59[/C][C]2.41536600643783e-14[/C][C]9.05452749511296e-16[/C][/ROW]
[ROW][C]0.6[/C][C]2.45291266587116e-14[/C][C]1.19064010076909e-15[/C][/ROW]
[ROW][C]0.61[/C][C]2.49916592746179e-14[/C][C]1.38068904279785e-15[/C][/ROW]
[ROW][C]0.62[/C][C]2.54945916861539e-14[/C][C]1.41032722088253e-15[/C][/ROW]
[ROW][C]0.63[/C][C]2.59767381708222e-14[/C][C]1.26739173060969e-15[/C][/ROW]
[ROW][C]0.64[/C][C]2.63837440172858e-14[/C][C]1.00063388557082e-15[/C][/ROW]
[ROW][C]0.65[/C][C]2.66865242207335e-14[/C][C]6.95353092186583e-16[/C][/ROW]
[ROW][C]0.66[/C][C]2.68978134141113e-14[/C][C]4.75764919860436e-16[/C][/ROW]
[ROW][C]0.67[/C][C]2.72980199297429e-14[/C][C]1.85562437308523e-15[/C][/ROW]
[ROW][C]0.68[/C][C]3.23427984099633e-14[/C][C]2.89575367126655e-14[/C][/ROW]
[ROW][C]0.69[/C][C]1.07940388726747e-13[/C][C]4.22941598434441e-13[/C][/ROW]
[ROW][C]0.7[/C][C]1.10638482142156e-12[/C][C]5.38660995084453e-12[/C][/ROW]
[ROW][C]0.71[/C][C]1.25867804188227e-11[/C][C]5.95859012348876e-11[/C][/ROW]
[ROW][C]0.72[/C][C]1.27236991971019e-10[/C][C]5.71152741931634e-10[/C][/ROW]
[ROW][C]0.73[/C][C]1.11955672075911e-09[/C][C]4.73293828910713e-09[/C][/ROW]
[ROW][C]0.74[/C][C]8.54747911721368e-09[/C][C]3.38274631235363e-08[/C][/ROW]
[ROW][C]0.75[/C][C]5.65353070250987e-08[/C][C]2.08059445708481e-07[/C][/ROW]
[ROW][C]0.76[/C][C]3.23597363720355e-07[/C][C]1.09893233482375e-06[/C][/ROW]
[ROW][C]0.77[/C][C]1.60172402819131e-06[/C][C]4.97523782101817e-06[/C][/ROW]
[ROW][C]0.78[/C][C]6.8546406184416e-06[/C][C]1.92775952861139e-05[/C][/ROW]
[ROW][C]0.79[/C][C]2.53729919736848e-05[/C][C]6.38523549455974e-05[/C][/ROW]
[ROW][C]0.8[/C][C]8.13196619564154e-05[/C][C]0.000180624799129495[/C][/ROW]
[ROW][C]0.81[/C][C]0.000226023305905332[/C][C]0.000435911113108466[/C][/ROW]
[ROW][C]0.82[/C][C]0.00054594170006687[/C][C]0.000895900451276744[/C][/ROW]
[ROW][C]0.83[/C][C]0.00114884010171512[/C][C]0.00156273757229216[/C][/ROW]
[ROW][C]0.84[/C][C]0.00211282427412144[/C][C]0.00230017843841322[/C][/ROW]
[ROW][C]0.85[/C][C]0.00341175779405572[/C][C]0.00283316912232122[/C][/ROW]
[ROW][C]0.86[/C][C]0.00487555338922769[/C][C]0.00289402478140219[/C][/ROW]
[ROW][C]0.87[/C][C]0.00625046615141127[/C][C]0.00244529852955195[/C][/ROW]
[ROW][C]0.88[/C][C]0.00734491571535194[/C][C]0.00175531239201649[/C][/ROW]
[ROW][C]0.89[/C][C]0.00813836539003623[/C][C]0.0011927843477472[/C][/ROW]
[ROW][C]0.9[/C][C]0.00874065168102574[/C][C]0.000912925038945921[/C][/ROW]
[ROW][C]0.91[/C][C]0.00924696978094176[/C][C]0.000761890161492268[/C][/ROW]
[ROW][C]0.92[/C][C]0.00965332302390467[/C][C]0.000551785220690446[/C][/ROW]
[ROW][C]0.93[/C][C]0.00991279473476154[/C][C]0.000292951529063367[/C][/ROW]
[ROW][C]0.94[/C][C]0.0100298801161533[/C][C]0.000102485155993998[/C][/ROW]
[ROW][C]0.95[/C][C]0.0100641026769337[/C][C]2.14234897960347e-05[/C][/ROW]
[ROW][C]0.96[/C][C]0.0100705239005105[/C][C]2.76466777076821e-06[/C][/ROW]
[ROW][C]0.97[/C][C]0.0101106775033797[/C][C]6.0128259223832e-05[/C][/ROW]
[ROW][C]0.98[/C][C]0.0120235638833979[/C][C]0.0024196197437676[/C][/ROW]
[ROW][C]0.99[/C][C]0.0769809674259385[/C][C]0.0621307769274945[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97979&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
0.01-0.07773421575860610.064476840061485
0.02-0.01167243514528190.00202796104544180
0.03-0.01008856278326492.54899736534603e-05
0.04-0.01007040217507591.22443594839092e-06
0.05-0.01006709973017021.2290342519587e-05
0.06-0.01004600302678646.72391930417635e-05
0.07-0.009964213070332990.00021870629488241
0.08-0.00976017843777880.000463676345815327
0.09-0.009406273931124980.0007010292511961
0.1-0.008936107918750870.000864242300023163
0.11-0.008375859450304640.00108574429563632
0.12-0.00765684518115640.00158310081728751
0.13-0.006651121329091890.00230980108832628
0.14-0.005323287622650040.00290405916227844
0.15-0.003827852517727210.0030004078689955
0.16-0.002433946082191860.00254253011906491
0.17-0.001357563010286010.00178645994192247
0.18-0.0006621107566660150.00105399291584916
0.19-0.0002821034894289760.000527715866190965
0.2-0.0001049511648922430.000225886627035618
0.21-3.40667874643759e-058.3016678574624e-05
0.22-9.63689449698015e-062.62470544081529e-05
0.23-2.37273400052515e-067.14403179684141e-06
0.24-5.07923980546435e-071.67451823251748e-06
0.25-9.44719223974574e-083.38155591591217e-07
0.26-1.52651238576888e-085.88816044549217e-08
0.27-2.14360566692352e-098.85127340879606e-09
0.28-2.61804876612554e-101.15044070158583e-09
0.29-2.78450449714924e-111.29519020389732e-10
0.3-2.58571786723222e-121.26585499647820e-11
0.31-2.11049083313144e-131.08037642090937e-12
0.32-1.39480529592395e-148.49391928563164e-14
0.332.82727686824247e-151.14894880182451e-14
0.346.4981227903859e-157.47938173540204e-15
0.359.28339494662123e-157.22186950717682e-15
0.361.19648646816483e-147.09102280128468e-15
0.371.454192502835e-146.77114603086108e-15
0.381.69224867344369e-146.12756170100888e-15
0.391.89878566589967e-145.14202991256657e-15
0.42.06401677469397e-143.93805820105111e-15
0.412.18431019382521e-142.72416975913836e-15
0.422.26333018242797e-141.69154394654578e-15
0.432.30992429846401e-149.3945682823465e-16
0.442.33451233927758e-144.65743951583768e-16
0.452.34610482903744e-142.05881467037497e-16
0.462.35098306079901e-148.10950149051803e-17
0.472.35281420242771e-142.84446195142949e-17
0.482.35342726187738e-148.89251191670115e-18
0.492.35361129542639e-142.51164915486513e-18
0.52.35366564035224e-148.2939170647188e-19
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0.532.35407552185280e-141.31028946842374e-17
0.542.35489618823865e-143.60329603816528e-17
0.552.35699690220514e-148.77181830002371e-17
0.562.36176475311286e-141.89051982650616e-16
0.572.37135422515189e-143.60500511138497e-16
0.582.38843593545579e-146.07831890580308e-16
0.592.41536600643783e-149.05452749511296e-16
0.62.45291266587116e-141.19064010076909e-15
0.612.49916592746179e-141.38068904279785e-15
0.622.54945916861539e-141.41032722088253e-15
0.632.59767381708222e-141.26739173060969e-15
0.642.63837440172858e-141.00063388557082e-15
0.652.66865242207335e-146.95353092186583e-16
0.662.68978134141113e-144.75764919860436e-16
0.672.72980199297429e-141.85562437308523e-15
0.683.23427984099633e-142.89575367126655e-14
0.691.07940388726747e-134.22941598434441e-13
0.71.10638482142156e-125.38660995084453e-12
0.711.25867804188227e-115.95859012348876e-11
0.721.27236991971019e-105.71152741931634e-10
0.731.11955672075911e-094.73293828910713e-09
0.748.54747911721368e-093.38274631235363e-08
0.755.65353070250987e-082.08059445708481e-07
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0.792.53729919736848e-056.38523549455974e-05
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0.850.003411757794055720.00283316912232122
0.860.004875553389227690.00289402478140219
0.870.006250466151411270.00244529852955195
0.880.007344915715351940.00175531239201649
0.890.008138365390036230.0011927843477472
0.90.008740651681025740.000912925038945921
0.910.009246969780941760.000761890161492268
0.920.009653323023904670.000551785220690446
0.930.009912794734761540.000292951529063367
0.940.01002988011615330.000102485155993998
0.950.01006410267693372.14234897960347e-05
0.960.01007052390051052.76466777076821e-06
0.970.01011067750337976.0128259223832e-05
0.980.01202356388339790.0024196197437676
0.990.07698096742593850.0621307769274945


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')