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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, 15 Jan 2012 11:22:43 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jan/15/t1326644585m2210iaq0u6m23h.htm/, Retrieved Fri, 03 May 2024 07:06:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161096, Retrieved Fri, 03 May 2024 07:06:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2011-10-12 15:00:07] [79a597247be783b3a6aed86ad77bf9f6]
- RMPD    [Harrell-Davis Quantiles] [] [2012-01-15 16:22:43] [00ac914fda573751cd779017970949c5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1594
2467
2222
3607
4685
4962
5770
5480
5000
3228
1993
2288
1580
2111
2192
3601
4665
4876
5813
5589
5331
3075
2002
2306
1507
1992
2487
3490
4647
5594
5611
5788
6204
3013
1931
2549
1504
2090
2702
2939
4500
6208
6415
5657
5964
3163
1997
2422
1376
2202
2683
3303
5202
5231
4880
7998
4977
3531
2025
2205
1442
2238
2179
3218
5139
4990
4914
6084
5672
3548
1793
2086

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161096&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161096&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011398.2493526314762.2998906006236
0.021432.6969474321161.5924569481568
0.031470.4610263852667.2044159090323
0.041508.9423637843882.3192767197312
0.051549.72765879638105.941309938576
0.061594.89901077023132.640924402571
0.071645.04166701838155.829138488975
0.081698.89202387638170.249355035514
0.091753.90470593997173.373543184075
0.11807.15029206558165.72147802031
0.111856.13847416947150.210125441646
0.121899.33184318294130.926190084501
0.131936.28327764856111.866925698984
0.141967.465088849296.0516033459051
0.151993.9294739112385.0642686929072
0.162016.9435030821978.9909333698658
0.172037.6997050451576.797812710238
0.182057.1463418964177.0159377262756
0.192075.9339441366678.3555110086972
0.22094.4473576560279.9769533434551
0.212112.8846279447581.5249646998652
0.222131.3488934295583.0462510159496
0.232149.9298374429984.8879786490134
0.242168.7620313113687.5828995764344
0.252188.0561759058991.6997428722184
0.262208.1051935625397.7365365285576
0.272229.27062771051106.003690126461
0.282251.95637887599116.595737918593
0.292276.57687042809129.405070443762
0.32303.52564806915144.176339773603
0.312333.14855819413160.564001586096
0.322365.72350001028178.163120213482
0.332401.44683240893196.540893093833
0.342440.42528981357215.255787128624
0.352482.67195631889233.821848433255
0.362528.1054028337251.745512617766
0.372576.5521692043268.520127985469
0.382627.75387231771283.652059885365
0.392681.38084901582296.735214125781
0.42737.05407463748307.479442275186
0.412794.37607523256315.798340752136
0.422852.96988438508321.867347053771
0.432912.52317943007326.144708312749
0.442972.83301225205329.374407832154
0.453033.84539230693332.547885519513
0.463095.68359127048336.832473603771
0.473158.65946510887343.450856800731
0.483223.26327155868353.520561738606
0.493290.12931325244367.87961449924
0.53359.9771919257386.924819148905
0.513433.5314482476410.458742449832
0.523511.42572989308437.62697803633
0.533594.10103362725466.921508240923
0.543681.71041973952496.301129843007
0.553774.04413108018523.351232678921
0.563870.4885044825545.557878872583
0.573970.02896613058560.58466448069
0.584071.30183259108566.569521465011
0.594172.69235791068562.367528571425
0.64272.46883379484547.719163450068
0.614368.93620718304523.296339688369
0.624460.58909846668490.633363332996
0.634546.24414042025451.941375827855
0.644625.13518520061409.834859388282
0.654696.96124057781367.069328667035
0.664761.88449864196326.265420911492
0.674820.48287068249289.658540915751
0.684873.66671940027258.991035974343
0.694922.57229591357235.355873310047
0.74968.44477403725219.131023702164
0.715012.52233900032209.975062708014
0.725055.93044539908206.873265893018
0.735099.59301046949208.312780876719
0.745144.16557676037212.522098936931
0.755189.9945412111217.698716737273
0.765237.10609170887222.13502260008
0.775285.22780431929224.404735586478
0.785333.84407587803223.429767683594
0.795382.28309761158218.630339840679
0.85429.82803135822209.999502181341
0.815475.83955388317198.121392177328
0.825519.87296535156184.106440050845
0.835561.77267102651169.455899175927
0.845601.73090646652155.842086531972
0.855640.30460923023144.851095577001
0.865678.39045968912137.77767155372
0.875717.15894092751135.44327473113
0.885757.94293168458138.072201695197
0.895802.07235490464145.1320466714
0.95850.66315471155.146973841537
0.915904.43841110481165.63781422951
0.925963.8262283767173.603590287128
0.936029.89726564604177.102167819507
0.946107.17863714704178.797454652216
0.956209.61445868995194.003426800784
0.966369.09657093697263.372377735087
0.976637.80138529005446.220831213275
0.987059.59411171641780.110981292724
0.997586.117238098161216.32935355614

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1398.24935263147 & 62.2998906006236 \tabularnewline
0.02 & 1432.69694743211 & 61.5924569481568 \tabularnewline
0.03 & 1470.46102638526 & 67.2044159090323 \tabularnewline
0.04 & 1508.94236378438 & 82.3192767197312 \tabularnewline
0.05 & 1549.72765879638 & 105.941309938576 \tabularnewline
0.06 & 1594.89901077023 & 132.640924402571 \tabularnewline
0.07 & 1645.04166701838 & 155.829138488975 \tabularnewline
0.08 & 1698.89202387638 & 170.249355035514 \tabularnewline
0.09 & 1753.90470593997 & 173.373543184075 \tabularnewline
0.1 & 1807.15029206558 & 165.72147802031 \tabularnewline
0.11 & 1856.13847416947 & 150.210125441646 \tabularnewline
0.12 & 1899.33184318294 & 130.926190084501 \tabularnewline
0.13 & 1936.28327764856 & 111.866925698984 \tabularnewline
0.14 & 1967.4650888492 & 96.0516033459051 \tabularnewline
0.15 & 1993.92947391123 & 85.0642686929072 \tabularnewline
0.16 & 2016.94350308219 & 78.9909333698658 \tabularnewline
0.17 & 2037.69970504515 & 76.797812710238 \tabularnewline
0.18 & 2057.14634189641 & 77.0159377262756 \tabularnewline
0.19 & 2075.93394413666 & 78.3555110086972 \tabularnewline
0.2 & 2094.44735765602 & 79.9769533434551 \tabularnewline
0.21 & 2112.88462794475 & 81.5249646998652 \tabularnewline
0.22 & 2131.34889342955 & 83.0462510159496 \tabularnewline
0.23 & 2149.92983744299 & 84.8879786490134 \tabularnewline
0.24 & 2168.76203131136 & 87.5828995764344 \tabularnewline
0.25 & 2188.05617590589 & 91.6997428722184 \tabularnewline
0.26 & 2208.10519356253 & 97.7365365285576 \tabularnewline
0.27 & 2229.27062771051 & 106.003690126461 \tabularnewline
0.28 & 2251.95637887599 & 116.595737918593 \tabularnewline
0.29 & 2276.57687042809 & 129.405070443762 \tabularnewline
0.3 & 2303.52564806915 & 144.176339773603 \tabularnewline
0.31 & 2333.14855819413 & 160.564001586096 \tabularnewline
0.32 & 2365.72350001028 & 178.163120213482 \tabularnewline
0.33 & 2401.44683240893 & 196.540893093833 \tabularnewline
0.34 & 2440.42528981357 & 215.255787128624 \tabularnewline
0.35 & 2482.67195631889 & 233.821848433255 \tabularnewline
0.36 & 2528.1054028337 & 251.745512617766 \tabularnewline
0.37 & 2576.5521692043 & 268.520127985469 \tabularnewline
0.38 & 2627.75387231771 & 283.652059885365 \tabularnewline
0.39 & 2681.38084901582 & 296.735214125781 \tabularnewline
0.4 & 2737.05407463748 & 307.479442275186 \tabularnewline
0.41 & 2794.37607523256 & 315.798340752136 \tabularnewline
0.42 & 2852.96988438508 & 321.867347053771 \tabularnewline
0.43 & 2912.52317943007 & 326.144708312749 \tabularnewline
0.44 & 2972.83301225205 & 329.374407832154 \tabularnewline
0.45 & 3033.84539230693 & 332.547885519513 \tabularnewline
0.46 & 3095.68359127048 & 336.832473603771 \tabularnewline
0.47 & 3158.65946510887 & 343.450856800731 \tabularnewline
0.48 & 3223.26327155868 & 353.520561738606 \tabularnewline
0.49 & 3290.12931325244 & 367.87961449924 \tabularnewline
0.5 & 3359.9771919257 & 386.924819148905 \tabularnewline
0.51 & 3433.5314482476 & 410.458742449832 \tabularnewline
0.52 & 3511.42572989308 & 437.62697803633 \tabularnewline
0.53 & 3594.10103362725 & 466.921508240923 \tabularnewline
0.54 & 3681.71041973952 & 496.301129843007 \tabularnewline
0.55 & 3774.04413108018 & 523.351232678921 \tabularnewline
0.56 & 3870.4885044825 & 545.557878872583 \tabularnewline
0.57 & 3970.02896613058 & 560.58466448069 \tabularnewline
0.58 & 4071.30183259108 & 566.569521465011 \tabularnewline
0.59 & 4172.69235791068 & 562.367528571425 \tabularnewline
0.6 & 4272.46883379484 & 547.719163450068 \tabularnewline
0.61 & 4368.93620718304 & 523.296339688369 \tabularnewline
0.62 & 4460.58909846668 & 490.633363332996 \tabularnewline
0.63 & 4546.24414042025 & 451.941375827855 \tabularnewline
0.64 & 4625.13518520061 & 409.834859388282 \tabularnewline
0.65 & 4696.96124057781 & 367.069328667035 \tabularnewline
0.66 & 4761.88449864196 & 326.265420911492 \tabularnewline
0.67 & 4820.48287068249 & 289.658540915751 \tabularnewline
0.68 & 4873.66671940027 & 258.991035974343 \tabularnewline
0.69 & 4922.57229591357 & 235.355873310047 \tabularnewline
0.7 & 4968.44477403725 & 219.131023702164 \tabularnewline
0.71 & 5012.52233900032 & 209.975062708014 \tabularnewline
0.72 & 5055.93044539908 & 206.873265893018 \tabularnewline
0.73 & 5099.59301046949 & 208.312780876719 \tabularnewline
0.74 & 5144.16557676037 & 212.522098936931 \tabularnewline
0.75 & 5189.9945412111 & 217.698716737273 \tabularnewline
0.76 & 5237.10609170887 & 222.13502260008 \tabularnewline
0.77 & 5285.22780431929 & 224.404735586478 \tabularnewline
0.78 & 5333.84407587803 & 223.429767683594 \tabularnewline
0.79 & 5382.28309761158 & 218.630339840679 \tabularnewline
0.8 & 5429.82803135822 & 209.999502181341 \tabularnewline
0.81 & 5475.83955388317 & 198.121392177328 \tabularnewline
0.82 & 5519.87296535156 & 184.106440050845 \tabularnewline
0.83 & 5561.77267102651 & 169.455899175927 \tabularnewline
0.84 & 5601.73090646652 & 155.842086531972 \tabularnewline
0.85 & 5640.30460923023 & 144.851095577001 \tabularnewline
0.86 & 5678.39045968912 & 137.77767155372 \tabularnewline
0.87 & 5717.15894092751 & 135.44327473113 \tabularnewline
0.88 & 5757.94293168458 & 138.072201695197 \tabularnewline
0.89 & 5802.07235490464 & 145.1320466714 \tabularnewline
0.9 & 5850.66315471 & 155.146973841537 \tabularnewline
0.91 & 5904.43841110481 & 165.63781422951 \tabularnewline
0.92 & 5963.8262283767 & 173.603590287128 \tabularnewline
0.93 & 6029.89726564604 & 177.102167819507 \tabularnewline
0.94 & 6107.17863714704 & 178.797454652216 \tabularnewline
0.95 & 6209.61445868995 & 194.003426800784 \tabularnewline
0.96 & 6369.09657093697 & 263.372377735087 \tabularnewline
0.97 & 6637.80138529005 & 446.220831213275 \tabularnewline
0.98 & 7059.59411171641 & 780.110981292724 \tabularnewline
0.99 & 7586.11723809816 & 1216.32935355614 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161096&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]1398.24935263147[/C][C]62.2998906006236[/C][/ROW]
[ROW][C]0.02[/C][C]1432.69694743211[/C][C]61.5924569481568[/C][/ROW]
[ROW][C]0.03[/C][C]1470.46102638526[/C][C]67.2044159090323[/C][/ROW]
[ROW][C]0.04[/C][C]1508.94236378438[/C][C]82.3192767197312[/C][/ROW]
[ROW][C]0.05[/C][C]1549.72765879638[/C][C]105.941309938576[/C][/ROW]
[ROW][C]0.06[/C][C]1594.89901077023[/C][C]132.640924402571[/C][/ROW]
[ROW][C]0.07[/C][C]1645.04166701838[/C][C]155.829138488975[/C][/ROW]
[ROW][C]0.08[/C][C]1698.89202387638[/C][C]170.249355035514[/C][/ROW]
[ROW][C]0.09[/C][C]1753.90470593997[/C][C]173.373543184075[/C][/ROW]
[ROW][C]0.1[/C][C]1807.15029206558[/C][C]165.72147802031[/C][/ROW]
[ROW][C]0.11[/C][C]1856.13847416947[/C][C]150.210125441646[/C][/ROW]
[ROW][C]0.12[/C][C]1899.33184318294[/C][C]130.926190084501[/C][/ROW]
[ROW][C]0.13[/C][C]1936.28327764856[/C][C]111.866925698984[/C][/ROW]
[ROW][C]0.14[/C][C]1967.4650888492[/C][C]96.0516033459051[/C][/ROW]
[ROW][C]0.15[/C][C]1993.92947391123[/C][C]85.0642686929072[/C][/ROW]
[ROW][C]0.16[/C][C]2016.94350308219[/C][C]78.9909333698658[/C][/ROW]
[ROW][C]0.17[/C][C]2037.69970504515[/C][C]76.797812710238[/C][/ROW]
[ROW][C]0.18[/C][C]2057.14634189641[/C][C]77.0159377262756[/C][/ROW]
[ROW][C]0.19[/C][C]2075.93394413666[/C][C]78.3555110086972[/C][/ROW]
[ROW][C]0.2[/C][C]2094.44735765602[/C][C]79.9769533434551[/C][/ROW]
[ROW][C]0.21[/C][C]2112.88462794475[/C][C]81.5249646998652[/C][/ROW]
[ROW][C]0.22[/C][C]2131.34889342955[/C][C]83.0462510159496[/C][/ROW]
[ROW][C]0.23[/C][C]2149.92983744299[/C][C]84.8879786490134[/C][/ROW]
[ROW][C]0.24[/C][C]2168.76203131136[/C][C]87.5828995764344[/C][/ROW]
[ROW][C]0.25[/C][C]2188.05617590589[/C][C]91.6997428722184[/C][/ROW]
[ROW][C]0.26[/C][C]2208.10519356253[/C][C]97.7365365285576[/C][/ROW]
[ROW][C]0.27[/C][C]2229.27062771051[/C][C]106.003690126461[/C][/ROW]
[ROW][C]0.28[/C][C]2251.95637887599[/C][C]116.595737918593[/C][/ROW]
[ROW][C]0.29[/C][C]2276.57687042809[/C][C]129.405070443762[/C][/ROW]
[ROW][C]0.3[/C][C]2303.52564806915[/C][C]144.176339773603[/C][/ROW]
[ROW][C]0.31[/C][C]2333.14855819413[/C][C]160.564001586096[/C][/ROW]
[ROW][C]0.32[/C][C]2365.72350001028[/C][C]178.163120213482[/C][/ROW]
[ROW][C]0.33[/C][C]2401.44683240893[/C][C]196.540893093833[/C][/ROW]
[ROW][C]0.34[/C][C]2440.42528981357[/C][C]215.255787128624[/C][/ROW]
[ROW][C]0.35[/C][C]2482.67195631889[/C][C]233.821848433255[/C][/ROW]
[ROW][C]0.36[/C][C]2528.1054028337[/C][C]251.745512617766[/C][/ROW]
[ROW][C]0.37[/C][C]2576.5521692043[/C][C]268.520127985469[/C][/ROW]
[ROW][C]0.38[/C][C]2627.75387231771[/C][C]283.652059885365[/C][/ROW]
[ROW][C]0.39[/C][C]2681.38084901582[/C][C]296.735214125781[/C][/ROW]
[ROW][C]0.4[/C][C]2737.05407463748[/C][C]307.479442275186[/C][/ROW]
[ROW][C]0.41[/C][C]2794.37607523256[/C][C]315.798340752136[/C][/ROW]
[ROW][C]0.42[/C][C]2852.96988438508[/C][C]321.867347053771[/C][/ROW]
[ROW][C]0.43[/C][C]2912.52317943007[/C][C]326.144708312749[/C][/ROW]
[ROW][C]0.44[/C][C]2972.83301225205[/C][C]329.374407832154[/C][/ROW]
[ROW][C]0.45[/C][C]3033.84539230693[/C][C]332.547885519513[/C][/ROW]
[ROW][C]0.46[/C][C]3095.68359127048[/C][C]336.832473603771[/C][/ROW]
[ROW][C]0.47[/C][C]3158.65946510887[/C][C]343.450856800731[/C][/ROW]
[ROW][C]0.48[/C][C]3223.26327155868[/C][C]353.520561738606[/C][/ROW]
[ROW][C]0.49[/C][C]3290.12931325244[/C][C]367.87961449924[/C][/ROW]
[ROW][C]0.5[/C][C]3359.9771919257[/C][C]386.924819148905[/C][/ROW]
[ROW][C]0.51[/C][C]3433.5314482476[/C][C]410.458742449832[/C][/ROW]
[ROW][C]0.52[/C][C]3511.42572989308[/C][C]437.62697803633[/C][/ROW]
[ROW][C]0.53[/C][C]3594.10103362725[/C][C]466.921508240923[/C][/ROW]
[ROW][C]0.54[/C][C]3681.71041973952[/C][C]496.301129843007[/C][/ROW]
[ROW][C]0.55[/C][C]3774.04413108018[/C][C]523.351232678921[/C][/ROW]
[ROW][C]0.56[/C][C]3870.4885044825[/C][C]545.557878872583[/C][/ROW]
[ROW][C]0.57[/C][C]3970.02896613058[/C][C]560.58466448069[/C][/ROW]
[ROW][C]0.58[/C][C]4071.30183259108[/C][C]566.569521465011[/C][/ROW]
[ROW][C]0.59[/C][C]4172.69235791068[/C][C]562.367528571425[/C][/ROW]
[ROW][C]0.6[/C][C]4272.46883379484[/C][C]547.719163450068[/C][/ROW]
[ROW][C]0.61[/C][C]4368.93620718304[/C][C]523.296339688369[/C][/ROW]
[ROW][C]0.62[/C][C]4460.58909846668[/C][C]490.633363332996[/C][/ROW]
[ROW][C]0.63[/C][C]4546.24414042025[/C][C]451.941375827855[/C][/ROW]
[ROW][C]0.64[/C][C]4625.13518520061[/C][C]409.834859388282[/C][/ROW]
[ROW][C]0.65[/C][C]4696.96124057781[/C][C]367.069328667035[/C][/ROW]
[ROW][C]0.66[/C][C]4761.88449864196[/C][C]326.265420911492[/C][/ROW]
[ROW][C]0.67[/C][C]4820.48287068249[/C][C]289.658540915751[/C][/ROW]
[ROW][C]0.68[/C][C]4873.66671940027[/C][C]258.991035974343[/C][/ROW]
[ROW][C]0.69[/C][C]4922.57229591357[/C][C]235.355873310047[/C][/ROW]
[ROW][C]0.7[/C][C]4968.44477403725[/C][C]219.131023702164[/C][/ROW]
[ROW][C]0.71[/C][C]5012.52233900032[/C][C]209.975062708014[/C][/ROW]
[ROW][C]0.72[/C][C]5055.93044539908[/C][C]206.873265893018[/C][/ROW]
[ROW][C]0.73[/C][C]5099.59301046949[/C][C]208.312780876719[/C][/ROW]
[ROW][C]0.74[/C][C]5144.16557676037[/C][C]212.522098936931[/C][/ROW]
[ROW][C]0.75[/C][C]5189.9945412111[/C][C]217.698716737273[/C][/ROW]
[ROW][C]0.76[/C][C]5237.10609170887[/C][C]222.13502260008[/C][/ROW]
[ROW][C]0.77[/C][C]5285.22780431929[/C][C]224.404735586478[/C][/ROW]
[ROW][C]0.78[/C][C]5333.84407587803[/C][C]223.429767683594[/C][/ROW]
[ROW][C]0.79[/C][C]5382.28309761158[/C][C]218.630339840679[/C][/ROW]
[ROW][C]0.8[/C][C]5429.82803135822[/C][C]209.999502181341[/C][/ROW]
[ROW][C]0.81[/C][C]5475.83955388317[/C][C]198.121392177328[/C][/ROW]
[ROW][C]0.82[/C][C]5519.87296535156[/C][C]184.106440050845[/C][/ROW]
[ROW][C]0.83[/C][C]5561.77267102651[/C][C]169.455899175927[/C][/ROW]
[ROW][C]0.84[/C][C]5601.73090646652[/C][C]155.842086531972[/C][/ROW]
[ROW][C]0.85[/C][C]5640.30460923023[/C][C]144.851095577001[/C][/ROW]
[ROW][C]0.86[/C][C]5678.39045968912[/C][C]137.77767155372[/C][/ROW]
[ROW][C]0.87[/C][C]5717.15894092751[/C][C]135.44327473113[/C][/ROW]
[ROW][C]0.88[/C][C]5757.94293168458[/C][C]138.072201695197[/C][/ROW]
[ROW][C]0.89[/C][C]5802.07235490464[/C][C]145.1320466714[/C][/ROW]
[ROW][C]0.9[/C][C]5850.66315471[/C][C]155.146973841537[/C][/ROW]
[ROW][C]0.91[/C][C]5904.43841110481[/C][C]165.63781422951[/C][/ROW]
[ROW][C]0.92[/C][C]5963.8262283767[/C][C]173.603590287128[/C][/ROW]
[ROW][C]0.93[/C][C]6029.89726564604[/C][C]177.102167819507[/C][/ROW]
[ROW][C]0.94[/C][C]6107.17863714704[/C][C]178.797454652216[/C][/ROW]
[ROW][C]0.95[/C][C]6209.61445868995[/C][C]194.003426800784[/C][/ROW]
[ROW][C]0.96[/C][C]6369.09657093697[/C][C]263.372377735087[/C][/ROW]
[ROW][C]0.97[/C][C]6637.80138529005[/C][C]446.220831213275[/C][/ROW]
[ROW][C]0.98[/C][C]7059.59411171641[/C][C]780.110981292724[/C][/ROW]
[ROW][C]0.99[/C][C]7586.11723809816[/C][C]1216.32935355614[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161096&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161096&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
0.011398.2493526314762.2998906006236
0.021432.6969474321161.5924569481568
0.031470.4610263852667.2044159090323
0.041508.9423637843882.3192767197312
0.051549.72765879638105.941309938576
0.061594.89901077023132.640924402571
0.071645.04166701838155.829138488975
0.081698.89202387638170.249355035514
0.091753.90470593997173.373543184075
0.11807.15029206558165.72147802031
0.111856.13847416947150.210125441646
0.121899.33184318294130.926190084501
0.131936.28327764856111.866925698984
0.141967.465088849296.0516033459051
0.151993.9294739112385.0642686929072
0.162016.9435030821978.9909333698658
0.172037.6997050451576.797812710238
0.182057.1463418964177.0159377262756
0.192075.9339441366678.3555110086972
0.22094.4473576560279.9769533434551
0.212112.8846279447581.5249646998652
0.222131.3488934295583.0462510159496
0.232149.9298374429984.8879786490134
0.242168.7620313113687.5828995764344
0.252188.0561759058991.6997428722184
0.262208.1051935625397.7365365285576
0.272229.27062771051106.003690126461
0.282251.95637887599116.595737918593
0.292276.57687042809129.405070443762
0.32303.52564806915144.176339773603
0.312333.14855819413160.564001586096
0.322365.72350001028178.163120213482
0.332401.44683240893196.540893093833
0.342440.42528981357215.255787128624
0.352482.67195631889233.821848433255
0.362528.1054028337251.745512617766
0.372576.5521692043268.520127985469
0.382627.75387231771283.652059885365
0.392681.38084901582296.735214125781
0.42737.05407463748307.479442275186
0.412794.37607523256315.798340752136
0.422852.96988438508321.867347053771
0.432912.52317943007326.144708312749
0.442972.83301225205329.374407832154
0.453033.84539230693332.547885519513
0.463095.68359127048336.832473603771
0.473158.65946510887343.450856800731
0.483223.26327155868353.520561738606
0.493290.12931325244367.87961449924
0.53359.9771919257386.924819148905
0.513433.5314482476410.458742449832
0.523511.42572989308437.62697803633
0.533594.10103362725466.921508240923
0.543681.71041973952496.301129843007
0.553774.04413108018523.351232678921
0.563870.4885044825545.557878872583
0.573970.02896613058560.58466448069
0.584071.30183259108566.569521465011
0.594172.69235791068562.367528571425
0.64272.46883379484547.719163450068
0.614368.93620718304523.296339688369
0.624460.58909846668490.633363332996
0.634546.24414042025451.941375827855
0.644625.13518520061409.834859388282
0.654696.96124057781367.069328667035
0.664761.88449864196326.265420911492
0.674820.48287068249289.658540915751
0.684873.66671940027258.991035974343
0.694922.57229591357235.355873310047
0.74968.44477403725219.131023702164
0.715012.52233900032209.975062708014
0.725055.93044539908206.873265893018
0.735099.59301046949208.312780876719
0.745144.16557676037212.522098936931
0.755189.9945412111217.698716737273
0.765237.10609170887222.13502260008
0.775285.22780431929224.404735586478
0.785333.84407587803223.429767683594
0.795382.28309761158218.630339840679
0.85429.82803135822209.999502181341
0.815475.83955388317198.121392177328
0.825519.87296535156184.106440050845
0.835561.77267102651169.455899175927
0.845601.73090646652155.842086531972
0.855640.30460923023144.851095577001
0.865678.39045968912137.77767155372
0.875717.15894092751135.44327473113
0.885757.94293168458138.072201695197
0.895802.07235490464145.1320466714
0.95850.66315471155.146973841537
0.915904.43841110481165.63781422951
0.925963.8262283767173.603590287128
0.936029.89726564604177.102167819507
0.946107.17863714704178.797454652216
0.956209.61445868995194.003426800784
0.966369.09657093697263.372377735087
0.976637.80138529005446.220831213275
0.987059.59411171641780.110981292724
0.997586.117238098161216.32935355614


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')