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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 13:25:47 +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/t1290173102oc0dpkn90mwsodv.htm/, Retrieved Fri, 03 May 2024 18:08:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97970, Retrieved Fri, 03 May 2024 18:08:05 +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] [TIN] [2010-11-19 13:25:47] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 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 & 10 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97970&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]10 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=97970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97970&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 time10 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.06548984077673810.0613264129378374
0.02-0.0120809266391030.0021510594682867
0.03-0.01000601724778280.000671994693066303
0.04-0.00932247452331020.000512893952021014
0.05-0.008910739158013450.000289241830770491
0.06-0.008719901705957240.000126363666634373
0.07-0.008630733955632949.7739917812059e-05
0.08-0.008545609688155890.000145198134488568
0.09-0.008415931338769180.000262654816204946
0.1-0.008184918153213830.000510027493549135
0.11-0.007782373443740150.00086043039275581
0.12-0.007165603125511090.00126880617377974
0.13-0.006302889881128720.00178891293906835
0.14-0.005158801338232760.00237062367258409
0.15-0.003788129048617880.00268735371457066
0.16-0.002410050811270750.00244967239397561
0.17-0.001295434440795840.00175945325820312
0.18-0.0005796229070078990.000995024285339333
0.19-0.0002143316246925660.000445794184311888
0.2-6.53425027159297e-050.000159479113958476
0.21-1.64305662956736e-054.59172841696224e-05
0.22-3.41442923230079e-061.07193026162495e-05
0.23-5.88056805962777e-072.04276823906465e-06
0.24-8.42095779762378e-083.19752519197638e-07
0.25-1.00604941298360e-084.13416478851602e-08
0.26-1.00617663103092e-094.43772708036131e-09
0.27-8.45295821373538e-113.97333126379549e-10
0.28-5.99165834499149e-122.980065343312e-11
0.29-3.66859384884073e-131.87985961046570e-12
0.3-2.69290852464044e-141.00342440584551e-13
0.31-9.3243578111555e-155.00250228776368e-15
0.32-8.16259764454295e-151.44065099060107e-15
0.33-7.47368718841663e-152.04068932103659e-15
0.34-6.53780867027383e-152.69170550548865e-15
0.35-5.38677573892568e-153.09973695509293e-15
0.36-4.13877147884811e-153.1635905402622e-15
0.37-2.92374137611541e-152.93097975149102e-15
0.38-1.83512586270076e-152.53635794753987e-15
0.39-9.15972423403175e-162.09608746906681e-15
0.4-1.75581271474207e-161.65861765684505e-15
0.413.90092626990205e-161.23454633242276e-15
0.427.92249271560927e-168.43026013071077e-16
0.431.05292316909519e-155.18659894991189e-16
0.441.20601835110749e-152.89720071394118e-16
0.451.29187443454959e-151.65110497949541e-16
0.461.35095572081216e-151.46590504705119e-16
0.471.42194931444946e-152.33969035733686e-16
0.481.54299170447942e-154.20244729317093e-16
0.491.75028087484411e-156.92236617106222e-16
0.52.07054348129394e-151.01067084885701e-15
0.512.51133857850199e-151.31446937730031e-15
0.523.05939678063938e-151.55672090739511e-15
0.533.69409293663479e-151.74734918452656e-15
0.544.40953758074148e-151.95811928826694e-15
0.555.22575721572811e-152.26118618048356e-15
0.566.1728854997596e-152.63973669366699e-15
0.577.25541796600439e-152.9688510335451e-15
0.588.42798360509616e-153.10511909855846e-15
0.599.61353638571032e-153.02003073604192e-15
0.61.07625298239430e-142.87453807507223e-15
0.611.19118660985974e-142.95974179708864e-15
0.621.31907974727971e-143.48660061595947e-15
0.631.47521834774957e-144.36575749479111e-15
0.641.66628251862741e-145.22240680595955e-15
0.651.88262637631259e-145.60880538106197e-15
0.662.09996386642112e-145.26588940951103e-15
0.672.29017258925727e-144.27471186380784e-15
0.682.43405792964871e-142.98529435529953e-15
0.692.528134023404e-141.80153796191682e-15
0.72.59292267367160e-141.46594753838076e-15
0.712.92952644484792e-141.79870896398642e-14
0.729.57318164909452e-143.63283167739579e-13
0.731.29281592669786e-126.28051589823775e-12
0.741.95520933261280e-119.15385428305543e-11
0.752.54318743462479e-101.12112375526091e-09
0.762.79091472709212e-091.15001222753167e-08
0.772.57448902654102e-089.8432966231541e-08
0.781.99038582111341e-077.00046759335648e-07
0.791.28568060275852e-064.11637571976267e-06
0.86.91550092398547e-061.98961498996370e-05
0.813.08667915229627e-057.85019265513688e-05
0.820.0001139392964955060.000250788366944374
0.830.0003469040233099810.000642643773095185
0.840.0008703829162990120.00130739272417458
0.850.001804586901460470.00209082727166666
0.860.003120863624356980.00261321911527926
0.870.004590439364927750.00257192975378358
0.880.005924048291744160.00207194565423402
0.890.006963633896721830.00147411599088184
0.90.007697552819493110.000967017985265957
0.910.008162122171832540.0005522392174284
0.920.008419292409990340.00027214233992078
0.930.008557878977385280.000143259054940514
0.940.008648754007905259.87779375689114e-05
0.950.008765331155647510.000166533481251469
0.960.009033881078479590.000356252592477456
0.970.00956835560142370.000561463771799748
0.980.01138596278891450.00186054777830191
0.990.06559770040000740.0634634176920378

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0654898407767381 & 0.0613264129378374 \tabularnewline
0.02 & -0.012080926639103 & 0.0021510594682867 \tabularnewline
0.03 & -0.0100060172477828 & 0.000671994693066303 \tabularnewline
0.04 & -0.0093224745233102 & 0.000512893952021014 \tabularnewline
0.05 & -0.00891073915801345 & 0.000289241830770491 \tabularnewline
0.06 & -0.00871990170595724 & 0.000126363666634373 \tabularnewline
0.07 & -0.00863073395563294 & 9.7739917812059e-05 \tabularnewline
0.08 & -0.00854560968815589 & 0.000145198134488568 \tabularnewline
0.09 & -0.00841593133876918 & 0.000262654816204946 \tabularnewline
0.1 & -0.00818491815321383 & 0.000510027493549135 \tabularnewline
0.11 & -0.00778237344374015 & 0.00086043039275581 \tabularnewline
0.12 & -0.00716560312551109 & 0.00126880617377974 \tabularnewline
0.13 & -0.00630288988112872 & 0.00178891293906835 \tabularnewline
0.14 & -0.00515880133823276 & 0.00237062367258409 \tabularnewline
0.15 & -0.00378812904861788 & 0.00268735371457066 \tabularnewline
0.16 & -0.00241005081127075 & 0.00244967239397561 \tabularnewline
0.17 & -0.00129543444079584 & 0.00175945325820312 \tabularnewline
0.18 & -0.000579622907007899 & 0.000995024285339333 \tabularnewline
0.19 & -0.000214331624692566 & 0.000445794184311888 \tabularnewline
0.2 & -6.53425027159297e-05 & 0.000159479113958476 \tabularnewline
0.21 & -1.64305662956736e-05 & 4.59172841696224e-05 \tabularnewline
0.22 & -3.41442923230079e-06 & 1.07193026162495e-05 \tabularnewline
0.23 & -5.88056805962777e-07 & 2.04276823906465e-06 \tabularnewline
0.24 & -8.42095779762378e-08 & 3.19752519197638e-07 \tabularnewline
0.25 & -1.00604941298360e-08 & 4.13416478851602e-08 \tabularnewline
0.26 & -1.00617663103092e-09 & 4.43772708036131e-09 \tabularnewline
0.27 & -8.45295821373538e-11 & 3.97333126379549e-10 \tabularnewline
0.28 & -5.99165834499149e-12 & 2.980065343312e-11 \tabularnewline
0.29 & -3.66859384884073e-13 & 1.87985961046570e-12 \tabularnewline
0.3 & -2.69290852464044e-14 & 1.00342440584551e-13 \tabularnewline
0.31 & -9.3243578111555e-15 & 5.00250228776368e-15 \tabularnewline
0.32 & -8.16259764454295e-15 & 1.44065099060107e-15 \tabularnewline
0.33 & -7.47368718841663e-15 & 2.04068932103659e-15 \tabularnewline
0.34 & -6.53780867027383e-15 & 2.69170550548865e-15 \tabularnewline
0.35 & -5.38677573892568e-15 & 3.09973695509293e-15 \tabularnewline
0.36 & -4.13877147884811e-15 & 3.1635905402622e-15 \tabularnewline
0.37 & -2.92374137611541e-15 & 2.93097975149102e-15 \tabularnewline
0.38 & -1.83512586270076e-15 & 2.53635794753987e-15 \tabularnewline
0.39 & -9.15972423403175e-16 & 2.09608746906681e-15 \tabularnewline
0.4 & -1.75581271474207e-16 & 1.65861765684505e-15 \tabularnewline
0.41 & 3.90092626990205e-16 & 1.23454633242276e-15 \tabularnewline
0.42 & 7.92249271560927e-16 & 8.43026013071077e-16 \tabularnewline
0.43 & 1.05292316909519e-15 & 5.18659894991189e-16 \tabularnewline
0.44 & 1.20601835110749e-15 & 2.89720071394118e-16 \tabularnewline
0.45 & 1.29187443454959e-15 & 1.65110497949541e-16 \tabularnewline
0.46 & 1.35095572081216e-15 & 1.46590504705119e-16 \tabularnewline
0.47 & 1.42194931444946e-15 & 2.33969035733686e-16 \tabularnewline
0.48 & 1.54299170447942e-15 & 4.20244729317093e-16 \tabularnewline
0.49 & 1.75028087484411e-15 & 6.92236617106222e-16 \tabularnewline
0.5 & 2.07054348129394e-15 & 1.01067084885701e-15 \tabularnewline
0.51 & 2.51133857850199e-15 & 1.31446937730031e-15 \tabularnewline
0.52 & 3.05939678063938e-15 & 1.55672090739511e-15 \tabularnewline
0.53 & 3.69409293663479e-15 & 1.74734918452656e-15 \tabularnewline
0.54 & 4.40953758074148e-15 & 1.95811928826694e-15 \tabularnewline
0.55 & 5.22575721572811e-15 & 2.26118618048356e-15 \tabularnewline
0.56 & 6.1728854997596e-15 & 2.63973669366699e-15 \tabularnewline
0.57 & 7.25541796600439e-15 & 2.9688510335451e-15 \tabularnewline
0.58 & 8.42798360509616e-15 & 3.10511909855846e-15 \tabularnewline
0.59 & 9.61353638571032e-15 & 3.02003073604192e-15 \tabularnewline
0.6 & 1.07625298239430e-14 & 2.87453807507223e-15 \tabularnewline
0.61 & 1.19118660985974e-14 & 2.95974179708864e-15 \tabularnewline
0.62 & 1.31907974727971e-14 & 3.48660061595947e-15 \tabularnewline
0.63 & 1.47521834774957e-14 & 4.36575749479111e-15 \tabularnewline
0.64 & 1.66628251862741e-14 & 5.22240680595955e-15 \tabularnewline
0.65 & 1.88262637631259e-14 & 5.60880538106197e-15 \tabularnewline
0.66 & 2.09996386642112e-14 & 5.26588940951103e-15 \tabularnewline
0.67 & 2.29017258925727e-14 & 4.27471186380784e-15 \tabularnewline
0.68 & 2.43405792964871e-14 & 2.98529435529953e-15 \tabularnewline
0.69 & 2.528134023404e-14 & 1.80153796191682e-15 \tabularnewline
0.7 & 2.59292267367160e-14 & 1.46594753838076e-15 \tabularnewline
0.71 & 2.92952644484792e-14 & 1.79870896398642e-14 \tabularnewline
0.72 & 9.57318164909452e-14 & 3.63283167739579e-13 \tabularnewline
0.73 & 1.29281592669786e-12 & 6.28051589823775e-12 \tabularnewline
0.74 & 1.95520933261280e-11 & 9.15385428305543e-11 \tabularnewline
0.75 & 2.54318743462479e-10 & 1.12112375526091e-09 \tabularnewline
0.76 & 2.79091472709212e-09 & 1.15001222753167e-08 \tabularnewline
0.77 & 2.57448902654102e-08 & 9.8432966231541e-08 \tabularnewline
0.78 & 1.99038582111341e-07 & 7.00046759335648e-07 \tabularnewline
0.79 & 1.28568060275852e-06 & 4.11637571976267e-06 \tabularnewline
0.8 & 6.91550092398547e-06 & 1.98961498996370e-05 \tabularnewline
0.81 & 3.08667915229627e-05 & 7.85019265513688e-05 \tabularnewline
0.82 & 0.000113939296495506 & 0.000250788366944374 \tabularnewline
0.83 & 0.000346904023309981 & 0.000642643773095185 \tabularnewline
0.84 & 0.000870382916299012 & 0.00130739272417458 \tabularnewline
0.85 & 0.00180458690146047 & 0.00209082727166666 \tabularnewline
0.86 & 0.00312086362435698 & 0.00261321911527926 \tabularnewline
0.87 & 0.00459043936492775 & 0.00257192975378358 \tabularnewline
0.88 & 0.00592404829174416 & 0.00207194565423402 \tabularnewline
0.89 & 0.00696363389672183 & 0.00147411599088184 \tabularnewline
0.9 & 0.00769755281949311 & 0.000967017985265957 \tabularnewline
0.91 & 0.00816212217183254 & 0.0005522392174284 \tabularnewline
0.92 & 0.00841929240999034 & 0.00027214233992078 \tabularnewline
0.93 & 0.00855787897738528 & 0.000143259054940514 \tabularnewline
0.94 & 0.00864875400790525 & 9.87779375689114e-05 \tabularnewline
0.95 & 0.00876533115564751 & 0.000166533481251469 \tabularnewline
0.96 & 0.00903388107847959 & 0.000356252592477456 \tabularnewline
0.97 & 0.0095683556014237 & 0.000561463771799748 \tabularnewline
0.98 & 0.0113859627889145 & 0.00186054777830191 \tabularnewline
0.99 & 0.0655977004000074 & 0.0634634176920378 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97970&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]-0.0654898407767381[/C][C]0.0613264129378374[/C][/ROW]
[ROW][C]0.02[/C][C]-0.012080926639103[/C][C]0.0021510594682867[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0100060172477828[/C][C]0.000671994693066303[/C][/ROW]
[ROW][C]0.04[/C][C]-0.0093224745233102[/C][C]0.000512893952021014[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00891073915801345[/C][C]0.000289241830770491[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00871990170595724[/C][C]0.000126363666634373[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00863073395563294[/C][C]9.7739917812059e-05[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00854560968815589[/C][C]0.000145198134488568[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00841593133876918[/C][C]0.000262654816204946[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00818491815321383[/C][C]0.000510027493549135[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00778237344374015[/C][C]0.00086043039275581[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00716560312551109[/C][C]0.00126880617377974[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00630288988112872[/C][C]0.00178891293906835[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00515880133823276[/C][C]0.00237062367258409[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00378812904861788[/C][C]0.00268735371457066[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00241005081127075[/C][C]0.00244967239397561[/C][/ROW]
[ROW][C]0.17[/C][C]-0.00129543444079584[/C][C]0.00175945325820312[/C][/ROW]
[ROW][C]0.18[/C][C]-0.000579622907007899[/C][C]0.000995024285339333[/C][/ROW]
[ROW][C]0.19[/C][C]-0.000214331624692566[/C][C]0.000445794184311888[/C][/ROW]
[ROW][C]0.2[/C][C]-6.53425027159297e-05[/C][C]0.000159479113958476[/C][/ROW]
[ROW][C]0.21[/C][C]-1.64305662956736e-05[/C][C]4.59172841696224e-05[/C][/ROW]
[ROW][C]0.22[/C][C]-3.41442923230079e-06[/C][C]1.07193026162495e-05[/C][/ROW]
[ROW][C]0.23[/C][C]-5.88056805962777e-07[/C][C]2.04276823906465e-06[/C][/ROW]
[ROW][C]0.24[/C][C]-8.42095779762378e-08[/C][C]3.19752519197638e-07[/C][/ROW]
[ROW][C]0.25[/C][C]-1.00604941298360e-08[/C][C]4.13416478851602e-08[/C][/ROW]
[ROW][C]0.26[/C][C]-1.00617663103092e-09[/C][C]4.43772708036131e-09[/C][/ROW]
[ROW][C]0.27[/C][C]-8.45295821373538e-11[/C][C]3.97333126379549e-10[/C][/ROW]
[ROW][C]0.28[/C][C]-5.99165834499149e-12[/C][C]2.980065343312e-11[/C][/ROW]
[ROW][C]0.29[/C][C]-3.66859384884073e-13[/C][C]1.87985961046570e-12[/C][/ROW]
[ROW][C]0.3[/C][C]-2.69290852464044e-14[/C][C]1.00342440584551e-13[/C][/ROW]
[ROW][C]0.31[/C][C]-9.3243578111555e-15[/C][C]5.00250228776368e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-8.16259764454295e-15[/C][C]1.44065099060107e-15[/C][/ROW]
[ROW][C]0.33[/C][C]-7.47368718841663e-15[/C][C]2.04068932103659e-15[/C][/ROW]
[ROW][C]0.34[/C][C]-6.53780867027383e-15[/C][C]2.69170550548865e-15[/C][/ROW]
[ROW][C]0.35[/C][C]-5.38677573892568e-15[/C][C]3.09973695509293e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-4.13877147884811e-15[/C][C]3.1635905402622e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-2.92374137611541e-15[/C][C]2.93097975149102e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-1.83512586270076e-15[/C][C]2.53635794753987e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-9.15972423403175e-16[/C][C]2.09608746906681e-15[/C][/ROW]
[ROW][C]0.4[/C][C]-1.75581271474207e-16[/C][C]1.65861765684505e-15[/C][/ROW]
[ROW][C]0.41[/C][C]3.90092626990205e-16[/C][C]1.23454633242276e-15[/C][/ROW]
[ROW][C]0.42[/C][C]7.92249271560927e-16[/C][C]8.43026013071077e-16[/C][/ROW]
[ROW][C]0.43[/C][C]1.05292316909519e-15[/C][C]5.18659894991189e-16[/C][/ROW]
[ROW][C]0.44[/C][C]1.20601835110749e-15[/C][C]2.89720071394118e-16[/C][/ROW]
[ROW][C]0.45[/C][C]1.29187443454959e-15[/C][C]1.65110497949541e-16[/C][/ROW]
[ROW][C]0.46[/C][C]1.35095572081216e-15[/C][C]1.46590504705119e-16[/C][/ROW]
[ROW][C]0.47[/C][C]1.42194931444946e-15[/C][C]2.33969035733686e-16[/C][/ROW]
[ROW][C]0.48[/C][C]1.54299170447942e-15[/C][C]4.20244729317093e-16[/C][/ROW]
[ROW][C]0.49[/C][C]1.75028087484411e-15[/C][C]6.92236617106222e-16[/C][/ROW]
[ROW][C]0.5[/C][C]2.07054348129394e-15[/C][C]1.01067084885701e-15[/C][/ROW]
[ROW][C]0.51[/C][C]2.51133857850199e-15[/C][C]1.31446937730031e-15[/C][/ROW]
[ROW][C]0.52[/C][C]3.05939678063938e-15[/C][C]1.55672090739511e-15[/C][/ROW]
[ROW][C]0.53[/C][C]3.69409293663479e-15[/C][C]1.74734918452656e-15[/C][/ROW]
[ROW][C]0.54[/C][C]4.40953758074148e-15[/C][C]1.95811928826694e-15[/C][/ROW]
[ROW][C]0.55[/C][C]5.22575721572811e-15[/C][C]2.26118618048356e-15[/C][/ROW]
[ROW][C]0.56[/C][C]6.1728854997596e-15[/C][C]2.63973669366699e-15[/C][/ROW]
[ROW][C]0.57[/C][C]7.25541796600439e-15[/C][C]2.9688510335451e-15[/C][/ROW]
[ROW][C]0.58[/C][C]8.42798360509616e-15[/C][C]3.10511909855846e-15[/C][/ROW]
[ROW][C]0.59[/C][C]9.61353638571032e-15[/C][C]3.02003073604192e-15[/C][/ROW]
[ROW][C]0.6[/C][C]1.07625298239430e-14[/C][C]2.87453807507223e-15[/C][/ROW]
[ROW][C]0.61[/C][C]1.19118660985974e-14[/C][C]2.95974179708864e-15[/C][/ROW]
[ROW][C]0.62[/C][C]1.31907974727971e-14[/C][C]3.48660061595947e-15[/C][/ROW]
[ROW][C]0.63[/C][C]1.47521834774957e-14[/C][C]4.36575749479111e-15[/C][/ROW]
[ROW][C]0.64[/C][C]1.66628251862741e-14[/C][C]5.22240680595955e-15[/C][/ROW]
[ROW][C]0.65[/C][C]1.88262637631259e-14[/C][C]5.60880538106197e-15[/C][/ROW]
[ROW][C]0.66[/C][C]2.09996386642112e-14[/C][C]5.26588940951103e-15[/C][/ROW]
[ROW][C]0.67[/C][C]2.29017258925727e-14[/C][C]4.27471186380784e-15[/C][/ROW]
[ROW][C]0.68[/C][C]2.43405792964871e-14[/C][C]2.98529435529953e-15[/C][/ROW]
[ROW][C]0.69[/C][C]2.528134023404e-14[/C][C]1.80153796191682e-15[/C][/ROW]
[ROW][C]0.7[/C][C]2.59292267367160e-14[/C][C]1.46594753838076e-15[/C][/ROW]
[ROW][C]0.71[/C][C]2.92952644484792e-14[/C][C]1.79870896398642e-14[/C][/ROW]
[ROW][C]0.72[/C][C]9.57318164909452e-14[/C][C]3.63283167739579e-13[/C][/ROW]
[ROW][C]0.73[/C][C]1.29281592669786e-12[/C][C]6.28051589823775e-12[/C][/ROW]
[ROW][C]0.74[/C][C]1.95520933261280e-11[/C][C]9.15385428305543e-11[/C][/ROW]
[ROW][C]0.75[/C][C]2.54318743462479e-10[/C][C]1.12112375526091e-09[/C][/ROW]
[ROW][C]0.76[/C][C]2.79091472709212e-09[/C][C]1.15001222753167e-08[/C][/ROW]
[ROW][C]0.77[/C][C]2.57448902654102e-08[/C][C]9.8432966231541e-08[/C][/ROW]
[ROW][C]0.78[/C][C]1.99038582111341e-07[/C][C]7.00046759335648e-07[/C][/ROW]
[ROW][C]0.79[/C][C]1.28568060275852e-06[/C][C]4.11637571976267e-06[/C][/ROW]
[ROW][C]0.8[/C][C]6.91550092398547e-06[/C][C]1.98961498996370e-05[/C][/ROW]
[ROW][C]0.81[/C][C]3.08667915229627e-05[/C][C]7.85019265513688e-05[/C][/ROW]
[ROW][C]0.82[/C][C]0.000113939296495506[/C][C]0.000250788366944374[/C][/ROW]
[ROW][C]0.83[/C][C]0.000346904023309981[/C][C]0.000642643773095185[/C][/ROW]
[ROW][C]0.84[/C][C]0.000870382916299012[/C][C]0.00130739272417458[/C][/ROW]
[ROW][C]0.85[/C][C]0.00180458690146047[/C][C]0.00209082727166666[/C][/ROW]
[ROW][C]0.86[/C][C]0.00312086362435698[/C][C]0.00261321911527926[/C][/ROW]
[ROW][C]0.87[/C][C]0.00459043936492775[/C][C]0.00257192975378358[/C][/ROW]
[ROW][C]0.88[/C][C]0.00592404829174416[/C][C]0.00207194565423402[/C][/ROW]
[ROW][C]0.89[/C][C]0.00696363389672183[/C][C]0.00147411599088184[/C][/ROW]
[ROW][C]0.9[/C][C]0.00769755281949311[/C][C]0.000967017985265957[/C][/ROW]
[ROW][C]0.91[/C][C]0.00816212217183254[/C][C]0.0005522392174284[/C][/ROW]
[ROW][C]0.92[/C][C]0.00841929240999034[/C][C]0.00027214233992078[/C][/ROW]
[ROW][C]0.93[/C][C]0.00855787897738528[/C][C]0.000143259054940514[/C][/ROW]
[ROW][C]0.94[/C][C]0.00864875400790525[/C][C]9.87779375689114e-05[/C][/ROW]
[ROW][C]0.95[/C][C]0.00876533115564751[/C][C]0.000166533481251469[/C][/ROW]
[ROW][C]0.96[/C][C]0.00903388107847959[/C][C]0.000356252592477456[/C][/ROW]
[ROW][C]0.97[/C][C]0.0095683556014237[/C][C]0.000561463771799748[/C][/ROW]
[ROW][C]0.98[/C][C]0.0113859627889145[/C][C]0.00186054777830191[/C][/ROW]
[ROW][C]0.99[/C][C]0.0655977004000074[/C][C]0.0634634176920378[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97970&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
0.01-0.06548984077673810.0613264129378374
0.02-0.0120809266391030.0021510594682867
0.03-0.01000601724778280.000671994693066303
0.04-0.00932247452331020.000512893952021014
0.05-0.008910739158013450.000289241830770491
0.06-0.008719901705957240.000126363666634373
0.07-0.008630733955632949.7739917812059e-05
0.08-0.008545609688155890.000145198134488568
0.09-0.008415931338769180.000262654816204946
0.1-0.008184918153213830.000510027493549135
0.11-0.007782373443740150.00086043039275581
0.12-0.007165603125511090.00126880617377974
0.13-0.006302889881128720.00178891293906835
0.14-0.005158801338232760.00237062367258409
0.15-0.003788129048617880.00268735371457066
0.16-0.002410050811270750.00244967239397561
0.17-0.001295434440795840.00175945325820312
0.18-0.0005796229070078990.000995024285339333
0.19-0.0002143316246925660.000445794184311888
0.2-6.53425027159297e-050.000159479113958476
0.21-1.64305662956736e-054.59172841696224e-05
0.22-3.41442923230079e-061.07193026162495e-05
0.23-5.88056805962777e-072.04276823906465e-06
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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')