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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 22 May 2016 20:30:46 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/May/22/t1463945460fyyhaudarez01af.htm/, Retrieved Mon, 06 May 2024 23:11:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295502, Retrieved Mon, 06 May 2024 23:11:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

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Histogram
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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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295502&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295502&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.110.74116610321020.345913240719737
0.1110.96077353834220.0815559604141907
0.1210.99745078145570.00728327248711098
0.1310.99993040876480.000247716885640221
0.1410.99999918439530
0.1510.9999999957550
0.1611.0000000005370
0.1711.00000006626880
0.1811.00000395808931.29484559627334e-05
0.1911.00012105123710.000492041326583868
0.211.00196657844090.00648717643732941
0.2111.01763871619880.0448209514538602
0.2211.09138987837760.168986239265535
0.2311.29074917985510.363755869914105
0.2411.62156940535590.495175603674285
0.2512.00844116101630.521247446706884
0.2612.38865627918620.488485177553831
0.2712.70615529880970.358662155923822
0.2812.89987488701990.175001057147884
0.2912.97752186903830.0541407967957439
0.313.00005531993780.0195658793998366
0.3113.02158746833810.0540618329327873
0.3213.09132652976320.165933125491457
0.3313.25692570386230.324095833634277
0.3413.50932722534330.399024623199378
0.3513.75691042889140.311718173973427
0.3613.91409373877820.155448419582366
0.3713.97900342227260.0497700075303572
0.3813.99651357852370.0102882991825927
0.3913.99961061382240.00138330073043263
0.413.99997090542870.000115275060869386
0.4113.99999854957030
0.4213.99999995181330
0.4313.99999999893350
0.4413.99999999998430
0.4513.99999999999980
0.46140
0.47140
0.48140
0.49140
0.5140
0.51140
0.52140
0.53140
0.54140
0.55140
0.56140
0.57140
0.58140
0.59140
0.6140
0.61140
0.62140
0.63140
0.64140
0.65140
0.66140
0.67140
0.68140
0.69140
0.7140
0.71140
0.7214.00000000000020
0.7314.0000000000410
0.7414.00000000477270
0.7514.00000033411470
0.7614.00001395613925.90354915061459e-05
0.7714.00034527811880.00122734805713224
0.7814.00503096497050.0146819835826637
0.7914.04308919871410.09820700065284
0.814.21819076221580.360655736822497
0.8114.667412790340.711307046786031
0.8215.29834111314140.735011915744052
0.8315.77297929953670.386785888706177
0.8415.95928617578240.100307145009705
0.8515.99626203287580.0123494184688855
0.8615.999851766530.000745246519831952
0.8716.0008288034820.00270134047852194
0.8816.01896069855870.0472056697330831
0.8916.18500348003920.316925309391091
0.916.78227613013290.757053515027802

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 10.7411661032102 & 0.345913240719737 \tabularnewline
0.11 & 10.9607735383422 & 0.0815559604141907 \tabularnewline
0.12 & 10.9974507814557 & 0.00728327248711098 \tabularnewline
0.13 & 10.9999304087648 & 0.000247716885640221 \tabularnewline
0.14 & 10.9999991843953 & 0 \tabularnewline
0.15 & 10.999999995755 & 0 \tabularnewline
0.16 & 11.000000000537 & 0 \tabularnewline
0.17 & 11.0000000662688 & 0 \tabularnewline
0.18 & 11.0000039580893 & 1.29484559627334e-05 \tabularnewline
0.19 & 11.0001210512371 & 0.000492041326583868 \tabularnewline
0.2 & 11.0019665784409 & 0.00648717643732941 \tabularnewline
0.21 & 11.0176387161988 & 0.0448209514538602 \tabularnewline
0.22 & 11.0913898783776 & 0.168986239265535 \tabularnewline
0.23 & 11.2907491798551 & 0.363755869914105 \tabularnewline
0.24 & 11.6215694053559 & 0.495175603674285 \tabularnewline
0.25 & 12.0084411610163 & 0.521247446706884 \tabularnewline
0.26 & 12.3886562791862 & 0.488485177553831 \tabularnewline
0.27 & 12.7061552988097 & 0.358662155923822 \tabularnewline
0.28 & 12.8998748870199 & 0.175001057147884 \tabularnewline
0.29 & 12.9775218690383 & 0.0541407967957439 \tabularnewline
0.3 & 13.0000553199378 & 0.0195658793998366 \tabularnewline
0.31 & 13.0215874683381 & 0.0540618329327873 \tabularnewline
0.32 & 13.0913265297632 & 0.165933125491457 \tabularnewline
0.33 & 13.2569257038623 & 0.324095833634277 \tabularnewline
0.34 & 13.5093272253433 & 0.399024623199378 \tabularnewline
0.35 & 13.7569104288914 & 0.311718173973427 \tabularnewline
0.36 & 13.9140937387782 & 0.155448419582366 \tabularnewline
0.37 & 13.9790034222726 & 0.0497700075303572 \tabularnewline
0.38 & 13.9965135785237 & 0.0102882991825927 \tabularnewline
0.39 & 13.9996106138224 & 0.00138330073043263 \tabularnewline
0.4 & 13.9999709054287 & 0.000115275060869386 \tabularnewline
0.41 & 13.9999985495703 & 0 \tabularnewline
0.42 & 13.9999999518133 & 0 \tabularnewline
0.43 & 13.9999999989335 & 0 \tabularnewline
0.44 & 13.9999999999843 & 0 \tabularnewline
0.45 & 13.9999999999998 & 0 \tabularnewline
0.46 & 14 & 0 \tabularnewline
0.47 & 14 & 0 \tabularnewline
0.48 & 14 & 0 \tabularnewline
0.49 & 14 & 0 \tabularnewline
0.5 & 14 & 0 \tabularnewline
0.51 & 14 & 0 \tabularnewline
0.52 & 14 & 0 \tabularnewline
0.53 & 14 & 0 \tabularnewline
0.54 & 14 & 0 \tabularnewline
0.55 & 14 & 0 \tabularnewline
0.56 & 14 & 0 \tabularnewline
0.57 & 14 & 0 \tabularnewline
0.58 & 14 & 0 \tabularnewline
0.59 & 14 & 0 \tabularnewline
0.6 & 14 & 0 \tabularnewline
0.61 & 14 & 0 \tabularnewline
0.62 & 14 & 0 \tabularnewline
0.63 & 14 & 0 \tabularnewline
0.64 & 14 & 0 \tabularnewline
0.65 & 14 & 0 \tabularnewline
0.66 & 14 & 0 \tabularnewline
0.67 & 14 & 0 \tabularnewline
0.68 & 14 & 0 \tabularnewline
0.69 & 14 & 0 \tabularnewline
0.7 & 14 & 0 \tabularnewline
0.71 & 14 & 0 \tabularnewline
0.72 & 14.0000000000002 & 0 \tabularnewline
0.73 & 14.000000000041 & 0 \tabularnewline
0.74 & 14.0000000047727 & 0 \tabularnewline
0.75 & 14.0000003341147 & 0 \tabularnewline
0.76 & 14.0000139561392 & 5.90354915061459e-05 \tabularnewline
0.77 & 14.0003452781188 & 0.00122734805713224 \tabularnewline
0.78 & 14.0050309649705 & 0.0146819835826637 \tabularnewline
0.79 & 14.0430891987141 & 0.09820700065284 \tabularnewline
0.8 & 14.2181907622158 & 0.360655736822497 \tabularnewline
0.81 & 14.66741279034 & 0.711307046786031 \tabularnewline
0.82 & 15.2983411131414 & 0.735011915744052 \tabularnewline
0.83 & 15.7729792995367 & 0.386785888706177 \tabularnewline
0.84 & 15.9592861757824 & 0.100307145009705 \tabularnewline
0.85 & 15.9962620328758 & 0.0123494184688855 \tabularnewline
0.86 & 15.99985176653 & 0.000745246519831952 \tabularnewline
0.87 & 16.000828803482 & 0.00270134047852194 \tabularnewline
0.88 & 16.0189606985587 & 0.0472056697330831 \tabularnewline
0.89 & 16.1850034800392 & 0.316925309391091 \tabularnewline
0.9 & 16.7822761301329 & 0.757053515027802 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295502&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]10.7411661032102[/C][C]0.345913240719737[/C][/ROW]
[ROW][C]0.11[/C][C]10.9607735383422[/C][C]0.0815559604141907[/C][/ROW]
[ROW][C]0.12[/C][C]10.9974507814557[/C][C]0.00728327248711098[/C][/ROW]
[ROW][C]0.13[/C][C]10.9999304087648[/C][C]0.000247716885640221[/C][/ROW]
[ROW][C]0.14[/C][C]10.9999991843953[/C][C]0[/C][/ROW]
[ROW][C]0.15[/C][C]10.999999995755[/C][C]0[/C][/ROW]
[ROW][C]0.16[/C][C]11.000000000537[/C][C]0[/C][/ROW]
[ROW][C]0.17[/C][C]11.0000000662688[/C][C]0[/C][/ROW]
[ROW][C]0.18[/C][C]11.0000039580893[/C][C]1.29484559627334e-05[/C][/ROW]
[ROW][C]0.19[/C][C]11.0001210512371[/C][C]0.000492041326583868[/C][/ROW]
[ROW][C]0.2[/C][C]11.0019665784409[/C][C]0.00648717643732941[/C][/ROW]
[ROW][C]0.21[/C][C]11.0176387161988[/C][C]0.0448209514538602[/C][/ROW]
[ROW][C]0.22[/C][C]11.0913898783776[/C][C]0.168986239265535[/C][/ROW]
[ROW][C]0.23[/C][C]11.2907491798551[/C][C]0.363755869914105[/C][/ROW]
[ROW][C]0.24[/C][C]11.6215694053559[/C][C]0.495175603674285[/C][/ROW]
[ROW][C]0.25[/C][C]12.0084411610163[/C][C]0.521247446706884[/C][/ROW]
[ROW][C]0.26[/C][C]12.3886562791862[/C][C]0.488485177553831[/C][/ROW]
[ROW][C]0.27[/C][C]12.7061552988097[/C][C]0.358662155923822[/C][/ROW]
[ROW][C]0.28[/C][C]12.8998748870199[/C][C]0.175001057147884[/C][/ROW]
[ROW][C]0.29[/C][C]12.9775218690383[/C][C]0.0541407967957439[/C][/ROW]
[ROW][C]0.3[/C][C]13.0000553199378[/C][C]0.0195658793998366[/C][/ROW]
[ROW][C]0.31[/C][C]13.0215874683381[/C][C]0.0540618329327873[/C][/ROW]
[ROW][C]0.32[/C][C]13.0913265297632[/C][C]0.165933125491457[/C][/ROW]
[ROW][C]0.33[/C][C]13.2569257038623[/C][C]0.324095833634277[/C][/ROW]
[ROW][C]0.34[/C][C]13.5093272253433[/C][C]0.399024623199378[/C][/ROW]
[ROW][C]0.35[/C][C]13.7569104288914[/C][C]0.311718173973427[/C][/ROW]
[ROW][C]0.36[/C][C]13.9140937387782[/C][C]0.155448419582366[/C][/ROW]
[ROW][C]0.37[/C][C]13.9790034222726[/C][C]0.0497700075303572[/C][/ROW]
[ROW][C]0.38[/C][C]13.9965135785237[/C][C]0.0102882991825927[/C][/ROW]
[ROW][C]0.39[/C][C]13.9996106138224[/C][C]0.00138330073043263[/C][/ROW]
[ROW][C]0.4[/C][C]13.9999709054287[/C][C]0.000115275060869386[/C][/ROW]
[ROW][C]0.41[/C][C]13.9999985495703[/C][C]0[/C][/ROW]
[ROW][C]0.42[/C][C]13.9999999518133[/C][C]0[/C][/ROW]
[ROW][C]0.43[/C][C]13.9999999989335[/C][C]0[/C][/ROW]
[ROW][C]0.44[/C][C]13.9999999999843[/C][C]0[/C][/ROW]
[ROW][C]0.45[/C][C]13.9999999999998[/C][C]0[/C][/ROW]
[ROW][C]0.46[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.47[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.48[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.49[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.5[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.51[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.52[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.53[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.54[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.55[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.56[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.57[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.58[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.59[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.6[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.61[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.62[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.63[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.64[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.65[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.66[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.67[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.68[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.69[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.7[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.71[/C][C]14[/C][C]0[/C][/ROW]
[ROW][C]0.72[/C][C]14.0000000000002[/C][C]0[/C][/ROW]
[ROW][C]0.73[/C][C]14.000000000041[/C][C]0[/C][/ROW]
[ROW][C]0.74[/C][C]14.0000000047727[/C][C]0[/C][/ROW]
[ROW][C]0.75[/C][C]14.0000003341147[/C][C]0[/C][/ROW]
[ROW][C]0.76[/C][C]14.0000139561392[/C][C]5.90354915061459e-05[/C][/ROW]
[ROW][C]0.77[/C][C]14.0003452781188[/C][C]0.00122734805713224[/C][/ROW]
[ROW][C]0.78[/C][C]14.0050309649705[/C][C]0.0146819835826637[/C][/ROW]
[ROW][C]0.79[/C][C]14.0430891987141[/C][C]0.09820700065284[/C][/ROW]
[ROW][C]0.8[/C][C]14.2181907622158[/C][C]0.360655736822497[/C][/ROW]
[ROW][C]0.81[/C][C]14.66741279034[/C][C]0.711307046786031[/C][/ROW]
[ROW][C]0.82[/C][C]15.2983411131414[/C][C]0.735011915744052[/C][/ROW]
[ROW][C]0.83[/C][C]15.7729792995367[/C][C]0.386785888706177[/C][/ROW]
[ROW][C]0.84[/C][C]15.9592861757824[/C][C]0.100307145009705[/C][/ROW]
[ROW][C]0.85[/C][C]15.9962620328758[/C][C]0.0123494184688855[/C][/ROW]
[ROW][C]0.86[/C][C]15.99985176653[/C][C]0.000745246519831952[/C][/ROW]
[ROW][C]0.87[/C][C]16.000828803482[/C][C]0.00270134047852194[/C][/ROW]
[ROW][C]0.88[/C][C]16.0189606985587[/C][C]0.0472056697330831[/C][/ROW]
[ROW][C]0.89[/C][C]16.1850034800392[/C][C]0.316925309391091[/C][/ROW]
[ROW][C]0.9[/C][C]16.7822761301329[/C][C]0.757053515027802[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295502&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
0.110.74116610321020.345913240719737
0.1110.96077353834220.0815559604141907
0.1210.99745078145570.00728327248711098
0.1310.99993040876480.000247716885640221
0.1410.99999918439530
0.1510.9999999957550
0.1611.0000000005370
0.1711.00000006626880
0.1811.00000395808931.29484559627334e-05
0.1911.00012105123710.000492041326583868
0.211.00196657844090.00648717643732941
0.2111.01763871619880.0448209514538602
0.2211.09138987837760.168986239265535
0.2311.29074917985510.363755869914105
0.2411.62156940535590.495175603674285
0.2512.00844116101630.521247446706884
0.2612.38865627918620.488485177553831
0.2712.70615529880970.358662155923822
0.2812.89987488701990.175001057147884
0.2912.97752186903830.0541407967957439
0.313.00005531993780.0195658793998366
0.3113.02158746833810.0540618329327873
0.3213.09132652976320.165933125491457
0.3313.25692570386230.324095833634277
0.3413.50932722534330.399024623199378
0.3513.75691042889140.311718173973427
0.3613.91409373877820.155448419582366
0.3713.97900342227260.0497700075303572
0.3813.99651357852370.0102882991825927
0.3913.99961061382240.00138330073043263
0.413.99997090542870.000115275060869386
0.4113.99999854957030
0.4213.99999995181330
0.4313.99999999893350
0.4413.99999999998430
0.4513.99999999999980
0.46140
0.47140
0.48140
0.49140
0.5140
0.51140
0.52140
0.53140
0.54140
0.55140
0.56140
0.57140
0.58140
0.59140
0.6140
0.61140
0.62140
0.63140
0.64140
0.65140
0.66140
0.67140
0.68140
0.69140
0.7140
0.71140
0.7214.00000000000020
0.7314.0000000000410
0.7414.00000000477270
0.7514.00000033411470
0.7614.00001395613925.90354915061459e-05
0.7714.00034527811880.00122734805713224
0.7814.00503096497050.0146819835826637
0.7914.04308919871410.09820700065284
0.814.21819076221580.360655736822497
0.8114.667412790340.711307046786031
0.8215.29834111314140.735011915744052
0.8315.77297929953670.386785888706177
0.8415.95928617578240.100307145009705
0.8515.99626203287580.0123494184688855
0.8615.999851766530.000745246519831952
0.8716.0008288034820.00270134047852194
0.8816.01896069855870.0472056697330831
0.8916.18500348003920.316925309391091
0.916.78227613013290.757053515027802


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')