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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 computationThu, 08 Oct 2015 15:43:42 +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/2015/Oct/08/t1444315458t9y87sm8dmurqb4.htm/, Retrieved Wed, 15 May 2024 03:27:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281470, Retrieved Wed, 15 May 2024 03:27:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

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] [] [2015-10-08 14:43:42] [822b7cc50e4a16589bd43fa8379da378] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,71
100,46
100,46
100,67
100,01
100,01
99,99
99,98
99,87
99,91
96,59
96,99
96,68
96,57
96,55
96,78
95,99
97,54
97,45
97,58
97,66
97,67
97,71
98,52
98,87
97,91
97,92
97,97
97,97
97,97
97,58
97,57
96,7
96,72
96,72
96,74
101,2
100,59
100,58
99,62
99,63
99,17
99,17
98,99
98,92
99,52
99,45
99,04
99,23
98,71
98,73
97,1
100,94
100,93
101,02
101,01
100,86
100,56
100,75
100,15
99,49
99,15
99,15
99,14
98,77
98,8
99,29
98,38
98,31
98,24
96,99
96,81

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281470&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281470&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281470&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.13230206708390.422917375839858
0.0296.31210884110620.263688607441561
0.0396.45450506402420.147613206442441
0.0496.54493728708340.0903426765046001
0.0596.59959748795590.0720270657127823
0.0696.63611414134220.0676537537691318
0.0796.66478108382390.0665535761264103
0.0896.69037598653040.0686046319637803
0.0996.7153747097180.0764115652059861
0.196.7416980444320.0915656291408595
0.1196.77118046540150.113879195721161
0.1296.80546543101380.141747975178841
0.1396.84577487436770.173232631451197
0.1496.89273401829690.205658263868182
0.1596.94629545093320.236349280285461
0.1697.00575838293750.262842821152818
0.1797.06986887327390.282846958848404
0.1897.13698494310460.294963694931219
0.1997.20528590084870.298565135132047
0.297.27299786056350.294401132144525
0.2197.33860196562560.283822469861756
0.2297.40099282995060.268982253662042
0.2397.45956392136820.252604058591819
0.2497.51421208746970.237101453253683
0.2597.56527053946580.224414592806514
0.2697.61339316845510.216097616764817
0.2797.65941940637540.212302684597551
0.2897.70424702930710.213087549515642
0.2997.7487320973780.217634835874712
0.397.79362406870990.225367091400551
0.3197.83953370761450.235273499641867
0.3297.88692447126990.246966038638897
0.3397.93611575500530.259659617865787
0.3497.98728825956510.272870404604848
0.3598.04048624770780.286049207876676
0.3698.09561658422620.298202193298514
0.3798.15244843227260.308523412916763
0.3898.21061921952520.316551586526674
0.3998.26965175378930.321398058609865
0.498.32898468521290.322509832756482
0.4198.38801489430710.31992481173455
0.4298.44614697915390.314025053053791
0.4398.50284278120190.304813899484736
0.4498.55766337903560.293418445440313
0.4598.61029725549050.280577975751102
0.4698.66057102446750.267055094569753
0.4798.70844250684970.253623495266072
0.4898.75397927258590.241223854565781
0.4998.79732829265540.22972394444252
0.598.8386835655140.219603886380385
0.5198.87825830232410.210647989239563
0.5298.91626660722540.202773360603736
0.5398.95291698923110.195891050044109
0.5498.98841709135370.189775384898363
0.5599.02298637395020.184627223394259
0.5699.05687171119920.180775078051165
0.5799.0903603137510.178329534257449
0.5899.12378515306920.177834126907318
0.5999.15751990694260.179495718466119
0.699.19196289446410.183453165055115
0.6199.22751191497730.189755397039173
0.6299.26453377179740.197912611132061
0.6399.30333316291680.207226202453365
0.6499.34412547746050.217385295415131
0.6599.38701709126030.227690893672304
0.6699.43199547505660.237341981451496
0.6799.47893031072520.245672386083094
0.6899.52758614930380.252305126976442
0.6999.57764686236160.256874106494903
0.799.62875176951110.259018708676731
0.7199.68054220235420.258996062591838
0.7299.73271488343490.257013957582365
0.7399.78507493111730.253743005925175
0.7499.83757747948520.249994576575311
0.7599.8903445633430.246913435543588
0.7699.94364510839850.245589113274744
0.7799.99783206392830.246221328970395
0.78100.0532418434730.249054351139454
0.79100.1100750062710.252940950454313
0.8100.1682891230490.256333999581202
0.81100.2275396590230.257366530860477
0.82100.2871981329810.254448046554217
0.83100.3464576798370.246756962011521
0.84100.4045081142520.234503883804975
0.85100.4607339856840.218964850494933
0.86100.5148708528580.202361416839108
0.87100.5670569882790.186932543744823
0.88100.6177446959690.174505007341119
0.89100.6674835982660.165321673283683
0.9100.7166438558580.158247625617442
0.91100.7651886883350.15079462130769
0.92100.8126118672450.140823974135095
0.93100.8581246015230.127093395317132
0.94100.9011398785010.110224415426768
0.95100.9420939502870.0926093057241189
0.96100.9835266032630.0786457338169417
0.97101.0305755448720.0767510288540795
0.98101.0882154678580.0981982519787088
0.99101.1522181797440.14008944073123

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.1323020670839 & 0.422917375839858 \tabularnewline
0.02 & 96.3121088411062 & 0.263688607441561 \tabularnewline
0.03 & 96.4545050640242 & 0.147613206442441 \tabularnewline
0.04 & 96.5449372870834 & 0.0903426765046001 \tabularnewline
0.05 & 96.5995974879559 & 0.0720270657127823 \tabularnewline
0.06 & 96.6361141413422 & 0.0676537537691318 \tabularnewline
0.07 & 96.6647810838239 & 0.0665535761264103 \tabularnewline
0.08 & 96.6903759865304 & 0.0686046319637803 \tabularnewline
0.09 & 96.715374709718 & 0.0764115652059861 \tabularnewline
0.1 & 96.741698044432 & 0.0915656291408595 \tabularnewline
0.11 & 96.7711804654015 & 0.113879195721161 \tabularnewline
0.12 & 96.8054654310138 & 0.141747975178841 \tabularnewline
0.13 & 96.8457748743677 & 0.173232631451197 \tabularnewline
0.14 & 96.8927340182969 & 0.205658263868182 \tabularnewline
0.15 & 96.9462954509332 & 0.236349280285461 \tabularnewline
0.16 & 97.0057583829375 & 0.262842821152818 \tabularnewline
0.17 & 97.0698688732739 & 0.282846958848404 \tabularnewline
0.18 & 97.1369849431046 & 0.294963694931219 \tabularnewline
0.19 & 97.2052859008487 & 0.298565135132047 \tabularnewline
0.2 & 97.2729978605635 & 0.294401132144525 \tabularnewline
0.21 & 97.3386019656256 & 0.283822469861756 \tabularnewline
0.22 & 97.4009928299506 & 0.268982253662042 \tabularnewline
0.23 & 97.4595639213682 & 0.252604058591819 \tabularnewline
0.24 & 97.5142120874697 & 0.237101453253683 \tabularnewline
0.25 & 97.5652705394658 & 0.224414592806514 \tabularnewline
0.26 & 97.6133931684551 & 0.216097616764817 \tabularnewline
0.27 & 97.6594194063754 & 0.212302684597551 \tabularnewline
0.28 & 97.7042470293071 & 0.213087549515642 \tabularnewline
0.29 & 97.748732097378 & 0.217634835874712 \tabularnewline
0.3 & 97.7936240687099 & 0.225367091400551 \tabularnewline
0.31 & 97.8395337076145 & 0.235273499641867 \tabularnewline
0.32 & 97.8869244712699 & 0.246966038638897 \tabularnewline
0.33 & 97.9361157550053 & 0.259659617865787 \tabularnewline
0.34 & 97.9872882595651 & 0.272870404604848 \tabularnewline
0.35 & 98.0404862477078 & 0.286049207876676 \tabularnewline
0.36 & 98.0956165842262 & 0.298202193298514 \tabularnewline
0.37 & 98.1524484322726 & 0.308523412916763 \tabularnewline
0.38 & 98.2106192195252 & 0.316551586526674 \tabularnewline
0.39 & 98.2696517537893 & 0.321398058609865 \tabularnewline
0.4 & 98.3289846852129 & 0.322509832756482 \tabularnewline
0.41 & 98.3880148943071 & 0.31992481173455 \tabularnewline
0.42 & 98.4461469791539 & 0.314025053053791 \tabularnewline
0.43 & 98.5028427812019 & 0.304813899484736 \tabularnewline
0.44 & 98.5576633790356 & 0.293418445440313 \tabularnewline
0.45 & 98.6102972554905 & 0.280577975751102 \tabularnewline
0.46 & 98.6605710244675 & 0.267055094569753 \tabularnewline
0.47 & 98.7084425068497 & 0.253623495266072 \tabularnewline
0.48 & 98.7539792725859 & 0.241223854565781 \tabularnewline
0.49 & 98.7973282926554 & 0.22972394444252 \tabularnewline
0.5 & 98.838683565514 & 0.219603886380385 \tabularnewline
0.51 & 98.8782583023241 & 0.210647989239563 \tabularnewline
0.52 & 98.9162666072254 & 0.202773360603736 \tabularnewline
0.53 & 98.9529169892311 & 0.195891050044109 \tabularnewline
0.54 & 98.9884170913537 & 0.189775384898363 \tabularnewline
0.55 & 99.0229863739502 & 0.184627223394259 \tabularnewline
0.56 & 99.0568717111992 & 0.180775078051165 \tabularnewline
0.57 & 99.090360313751 & 0.178329534257449 \tabularnewline
0.58 & 99.1237851530692 & 0.177834126907318 \tabularnewline
0.59 & 99.1575199069426 & 0.179495718466119 \tabularnewline
0.6 & 99.1919628944641 & 0.183453165055115 \tabularnewline
0.61 & 99.2275119149773 & 0.189755397039173 \tabularnewline
0.62 & 99.2645337717974 & 0.197912611132061 \tabularnewline
0.63 & 99.3033331629168 & 0.207226202453365 \tabularnewline
0.64 & 99.3441254774605 & 0.217385295415131 \tabularnewline
0.65 & 99.3870170912603 & 0.227690893672304 \tabularnewline
0.66 & 99.4319954750566 & 0.237341981451496 \tabularnewline
0.67 & 99.4789303107252 & 0.245672386083094 \tabularnewline
0.68 & 99.5275861493038 & 0.252305126976442 \tabularnewline
0.69 & 99.5776468623616 & 0.256874106494903 \tabularnewline
0.7 & 99.6287517695111 & 0.259018708676731 \tabularnewline
0.71 & 99.6805422023542 & 0.258996062591838 \tabularnewline
0.72 & 99.7327148834349 & 0.257013957582365 \tabularnewline
0.73 & 99.7850749311173 & 0.253743005925175 \tabularnewline
0.74 & 99.8375774794852 & 0.249994576575311 \tabularnewline
0.75 & 99.890344563343 & 0.246913435543588 \tabularnewline
0.76 & 99.9436451083985 & 0.245589113274744 \tabularnewline
0.77 & 99.9978320639283 & 0.246221328970395 \tabularnewline
0.78 & 100.053241843473 & 0.249054351139454 \tabularnewline
0.79 & 100.110075006271 & 0.252940950454313 \tabularnewline
0.8 & 100.168289123049 & 0.256333999581202 \tabularnewline
0.81 & 100.227539659023 & 0.257366530860477 \tabularnewline
0.82 & 100.287198132981 & 0.254448046554217 \tabularnewline
0.83 & 100.346457679837 & 0.246756962011521 \tabularnewline
0.84 & 100.404508114252 & 0.234503883804975 \tabularnewline
0.85 & 100.460733985684 & 0.218964850494933 \tabularnewline
0.86 & 100.514870852858 & 0.202361416839108 \tabularnewline
0.87 & 100.567056988279 & 0.186932543744823 \tabularnewline
0.88 & 100.617744695969 & 0.174505007341119 \tabularnewline
0.89 & 100.667483598266 & 0.165321673283683 \tabularnewline
0.9 & 100.716643855858 & 0.158247625617442 \tabularnewline
0.91 & 100.765188688335 & 0.15079462130769 \tabularnewline
0.92 & 100.812611867245 & 0.140823974135095 \tabularnewline
0.93 & 100.858124601523 & 0.127093395317132 \tabularnewline
0.94 & 100.901139878501 & 0.110224415426768 \tabularnewline
0.95 & 100.942093950287 & 0.0926093057241189 \tabularnewline
0.96 & 100.983526603263 & 0.0786457338169417 \tabularnewline
0.97 & 101.030575544872 & 0.0767510288540795 \tabularnewline
0.98 & 101.088215467858 & 0.0981982519787088 \tabularnewline
0.99 & 101.152218179744 & 0.14008944073123 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281470&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]96.1323020670839[/C][C]0.422917375839858[/C][/ROW]
[ROW][C]0.02[/C][C]96.3121088411062[/C][C]0.263688607441561[/C][/ROW]
[ROW][C]0.03[/C][C]96.4545050640242[/C][C]0.147613206442441[/C][/ROW]
[ROW][C]0.04[/C][C]96.5449372870834[/C][C]0.0903426765046001[/C][/ROW]
[ROW][C]0.05[/C][C]96.5995974879559[/C][C]0.0720270657127823[/C][/ROW]
[ROW][C]0.06[/C][C]96.6361141413422[/C][C]0.0676537537691318[/C][/ROW]
[ROW][C]0.07[/C][C]96.6647810838239[/C][C]0.0665535761264103[/C][/ROW]
[ROW][C]0.08[/C][C]96.6903759865304[/C][C]0.0686046319637803[/C][/ROW]
[ROW][C]0.09[/C][C]96.715374709718[/C][C]0.0764115652059861[/C][/ROW]
[ROW][C]0.1[/C][C]96.741698044432[/C][C]0.0915656291408595[/C][/ROW]
[ROW][C]0.11[/C][C]96.7711804654015[/C][C]0.113879195721161[/C][/ROW]
[ROW][C]0.12[/C][C]96.8054654310138[/C][C]0.141747975178841[/C][/ROW]
[ROW][C]0.13[/C][C]96.8457748743677[/C][C]0.173232631451197[/C][/ROW]
[ROW][C]0.14[/C][C]96.8927340182969[/C][C]0.205658263868182[/C][/ROW]
[ROW][C]0.15[/C][C]96.9462954509332[/C][C]0.236349280285461[/C][/ROW]
[ROW][C]0.16[/C][C]97.0057583829375[/C][C]0.262842821152818[/C][/ROW]
[ROW][C]0.17[/C][C]97.0698688732739[/C][C]0.282846958848404[/C][/ROW]
[ROW][C]0.18[/C][C]97.1369849431046[/C][C]0.294963694931219[/C][/ROW]
[ROW][C]0.19[/C][C]97.2052859008487[/C][C]0.298565135132047[/C][/ROW]
[ROW][C]0.2[/C][C]97.2729978605635[/C][C]0.294401132144525[/C][/ROW]
[ROW][C]0.21[/C][C]97.3386019656256[/C][C]0.283822469861756[/C][/ROW]
[ROW][C]0.22[/C][C]97.4009928299506[/C][C]0.268982253662042[/C][/ROW]
[ROW][C]0.23[/C][C]97.4595639213682[/C][C]0.252604058591819[/C][/ROW]
[ROW][C]0.24[/C][C]97.5142120874697[/C][C]0.237101453253683[/C][/ROW]
[ROW][C]0.25[/C][C]97.5652705394658[/C][C]0.224414592806514[/C][/ROW]
[ROW][C]0.26[/C][C]97.6133931684551[/C][C]0.216097616764817[/C][/ROW]
[ROW][C]0.27[/C][C]97.6594194063754[/C][C]0.212302684597551[/C][/ROW]
[ROW][C]0.28[/C][C]97.7042470293071[/C][C]0.213087549515642[/C][/ROW]
[ROW][C]0.29[/C][C]97.748732097378[/C][C]0.217634835874712[/C][/ROW]
[ROW][C]0.3[/C][C]97.7936240687099[/C][C]0.225367091400551[/C][/ROW]
[ROW][C]0.31[/C][C]97.8395337076145[/C][C]0.235273499641867[/C][/ROW]
[ROW][C]0.32[/C][C]97.8869244712699[/C][C]0.246966038638897[/C][/ROW]
[ROW][C]0.33[/C][C]97.9361157550053[/C][C]0.259659617865787[/C][/ROW]
[ROW][C]0.34[/C][C]97.9872882595651[/C][C]0.272870404604848[/C][/ROW]
[ROW][C]0.35[/C][C]98.0404862477078[/C][C]0.286049207876676[/C][/ROW]
[ROW][C]0.36[/C][C]98.0956165842262[/C][C]0.298202193298514[/C][/ROW]
[ROW][C]0.37[/C][C]98.1524484322726[/C][C]0.308523412916763[/C][/ROW]
[ROW][C]0.38[/C][C]98.2106192195252[/C][C]0.316551586526674[/C][/ROW]
[ROW][C]0.39[/C][C]98.2696517537893[/C][C]0.321398058609865[/C][/ROW]
[ROW][C]0.4[/C][C]98.3289846852129[/C][C]0.322509832756482[/C][/ROW]
[ROW][C]0.41[/C][C]98.3880148943071[/C][C]0.31992481173455[/C][/ROW]
[ROW][C]0.42[/C][C]98.4461469791539[/C][C]0.314025053053791[/C][/ROW]
[ROW][C]0.43[/C][C]98.5028427812019[/C][C]0.304813899484736[/C][/ROW]
[ROW][C]0.44[/C][C]98.5576633790356[/C][C]0.293418445440313[/C][/ROW]
[ROW][C]0.45[/C][C]98.6102972554905[/C][C]0.280577975751102[/C][/ROW]
[ROW][C]0.46[/C][C]98.6605710244675[/C][C]0.267055094569753[/C][/ROW]
[ROW][C]0.47[/C][C]98.7084425068497[/C][C]0.253623495266072[/C][/ROW]
[ROW][C]0.48[/C][C]98.7539792725859[/C][C]0.241223854565781[/C][/ROW]
[ROW][C]0.49[/C][C]98.7973282926554[/C][C]0.22972394444252[/C][/ROW]
[ROW][C]0.5[/C][C]98.838683565514[/C][C]0.219603886380385[/C][/ROW]
[ROW][C]0.51[/C][C]98.8782583023241[/C][C]0.210647989239563[/C][/ROW]
[ROW][C]0.52[/C][C]98.9162666072254[/C][C]0.202773360603736[/C][/ROW]
[ROW][C]0.53[/C][C]98.9529169892311[/C][C]0.195891050044109[/C][/ROW]
[ROW][C]0.54[/C][C]98.9884170913537[/C][C]0.189775384898363[/C][/ROW]
[ROW][C]0.55[/C][C]99.0229863739502[/C][C]0.184627223394259[/C][/ROW]
[ROW][C]0.56[/C][C]99.0568717111992[/C][C]0.180775078051165[/C][/ROW]
[ROW][C]0.57[/C][C]99.090360313751[/C][C]0.178329534257449[/C][/ROW]
[ROW][C]0.58[/C][C]99.1237851530692[/C][C]0.177834126907318[/C][/ROW]
[ROW][C]0.59[/C][C]99.1575199069426[/C][C]0.179495718466119[/C][/ROW]
[ROW][C]0.6[/C][C]99.1919628944641[/C][C]0.183453165055115[/C][/ROW]
[ROW][C]0.61[/C][C]99.2275119149773[/C][C]0.189755397039173[/C][/ROW]
[ROW][C]0.62[/C][C]99.2645337717974[/C][C]0.197912611132061[/C][/ROW]
[ROW][C]0.63[/C][C]99.3033331629168[/C][C]0.207226202453365[/C][/ROW]
[ROW][C]0.64[/C][C]99.3441254774605[/C][C]0.217385295415131[/C][/ROW]
[ROW][C]0.65[/C][C]99.3870170912603[/C][C]0.227690893672304[/C][/ROW]
[ROW][C]0.66[/C][C]99.4319954750566[/C][C]0.237341981451496[/C][/ROW]
[ROW][C]0.67[/C][C]99.4789303107252[/C][C]0.245672386083094[/C][/ROW]
[ROW][C]0.68[/C][C]99.5275861493038[/C][C]0.252305126976442[/C][/ROW]
[ROW][C]0.69[/C][C]99.5776468623616[/C][C]0.256874106494903[/C][/ROW]
[ROW][C]0.7[/C][C]99.6287517695111[/C][C]0.259018708676731[/C][/ROW]
[ROW][C]0.71[/C][C]99.6805422023542[/C][C]0.258996062591838[/C][/ROW]
[ROW][C]0.72[/C][C]99.7327148834349[/C][C]0.257013957582365[/C][/ROW]
[ROW][C]0.73[/C][C]99.7850749311173[/C][C]0.253743005925175[/C][/ROW]
[ROW][C]0.74[/C][C]99.8375774794852[/C][C]0.249994576575311[/C][/ROW]
[ROW][C]0.75[/C][C]99.890344563343[/C][C]0.246913435543588[/C][/ROW]
[ROW][C]0.76[/C][C]99.9436451083985[/C][C]0.245589113274744[/C][/ROW]
[ROW][C]0.77[/C][C]99.9978320639283[/C][C]0.246221328970395[/C][/ROW]
[ROW][C]0.78[/C][C]100.053241843473[/C][C]0.249054351139454[/C][/ROW]
[ROW][C]0.79[/C][C]100.110075006271[/C][C]0.252940950454313[/C][/ROW]
[ROW][C]0.8[/C][C]100.168289123049[/C][C]0.256333999581202[/C][/ROW]
[ROW][C]0.81[/C][C]100.227539659023[/C][C]0.257366530860477[/C][/ROW]
[ROW][C]0.82[/C][C]100.287198132981[/C][C]0.254448046554217[/C][/ROW]
[ROW][C]0.83[/C][C]100.346457679837[/C][C]0.246756962011521[/C][/ROW]
[ROW][C]0.84[/C][C]100.404508114252[/C][C]0.234503883804975[/C][/ROW]
[ROW][C]0.85[/C][C]100.460733985684[/C][C]0.218964850494933[/C][/ROW]
[ROW][C]0.86[/C][C]100.514870852858[/C][C]0.202361416839108[/C][/ROW]
[ROW][C]0.87[/C][C]100.567056988279[/C][C]0.186932543744823[/C][/ROW]
[ROW][C]0.88[/C][C]100.617744695969[/C][C]0.174505007341119[/C][/ROW]
[ROW][C]0.89[/C][C]100.667483598266[/C][C]0.165321673283683[/C][/ROW]
[ROW][C]0.9[/C][C]100.716643855858[/C][C]0.158247625617442[/C][/ROW]
[ROW][C]0.91[/C][C]100.765188688335[/C][C]0.15079462130769[/C][/ROW]
[ROW][C]0.92[/C][C]100.812611867245[/C][C]0.140823974135095[/C][/ROW]
[ROW][C]0.93[/C][C]100.858124601523[/C][C]0.127093395317132[/C][/ROW]
[ROW][C]0.94[/C][C]100.901139878501[/C][C]0.110224415426768[/C][/ROW]
[ROW][C]0.95[/C][C]100.942093950287[/C][C]0.0926093057241189[/C][/ROW]
[ROW][C]0.96[/C][C]100.983526603263[/C][C]0.0786457338169417[/C][/ROW]
[ROW][C]0.97[/C][C]101.030575544872[/C][C]0.0767510288540795[/C][/ROW]
[ROW][C]0.98[/C][C]101.088215467858[/C][C]0.0981982519787088[/C][/ROW]
[ROW][C]0.99[/C][C]101.152218179744[/C][C]0.14008944073123[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281470&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281470&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
0.0196.13230206708390.422917375839858
0.0296.31210884110620.263688607441561
0.0396.45450506402420.147613206442441
0.0496.54493728708340.0903426765046001
0.0596.59959748795590.0720270657127823
0.0696.63611414134220.0676537537691318
0.0796.66478108382390.0665535761264103
0.0896.69037598653040.0686046319637803
0.0996.7153747097180.0764115652059861
0.196.7416980444320.0915656291408595
0.1196.77118046540150.113879195721161
0.1296.80546543101380.141747975178841
0.1396.84577487436770.173232631451197
0.1496.89273401829690.205658263868182
0.1596.94629545093320.236349280285461
0.1697.00575838293750.262842821152818
0.1797.06986887327390.282846958848404
0.1897.13698494310460.294963694931219
0.1997.20528590084870.298565135132047
0.297.27299786056350.294401132144525
0.2197.33860196562560.283822469861756
0.2297.40099282995060.268982253662042
0.2397.45956392136820.252604058591819
0.2497.51421208746970.237101453253683
0.2597.56527053946580.224414592806514
0.2697.61339316845510.216097616764817
0.2797.65941940637540.212302684597551
0.2897.70424702930710.213087549515642
0.2997.7487320973780.217634835874712
0.397.79362406870990.225367091400551
0.3197.83953370761450.235273499641867
0.3297.88692447126990.246966038638897
0.3397.93611575500530.259659617865787
0.3497.98728825956510.272870404604848
0.3598.04048624770780.286049207876676
0.3698.09561658422620.298202193298514
0.3798.15244843227260.308523412916763
0.3898.21061921952520.316551586526674
0.3998.26965175378930.321398058609865
0.498.32898468521290.322509832756482
0.4198.38801489430710.31992481173455
0.4298.44614697915390.314025053053791
0.4398.50284278120190.304813899484736
0.4498.55766337903560.293418445440313
0.4598.61029725549050.280577975751102
0.4698.66057102446750.267055094569753
0.4798.70844250684970.253623495266072
0.4898.75397927258590.241223854565781
0.4998.79732829265540.22972394444252
0.598.8386835655140.219603886380385
0.5198.87825830232410.210647989239563
0.5298.91626660722540.202773360603736
0.5398.95291698923110.195891050044109
0.5498.98841709135370.189775384898363
0.5599.02298637395020.184627223394259
0.5699.05687171119920.180775078051165
0.5799.0903603137510.178329534257449
0.5899.12378515306920.177834126907318
0.5999.15751990694260.179495718466119
0.699.19196289446410.183453165055115
0.6199.22751191497730.189755397039173
0.6299.26453377179740.197912611132061
0.6399.30333316291680.207226202453365
0.6499.34412547746050.217385295415131
0.6599.38701709126030.227690893672304
0.6699.43199547505660.237341981451496
0.6799.47893031072520.245672386083094
0.6899.52758614930380.252305126976442
0.6999.57764686236160.256874106494903
0.799.62875176951110.259018708676731
0.7199.68054220235420.258996062591838
0.7299.73271488343490.257013957582365
0.7399.78507493111730.253743005925175
0.7499.83757747948520.249994576575311
0.7599.8903445633430.246913435543588
0.7699.94364510839850.245589113274744
0.7799.99783206392830.246221328970395
0.78100.0532418434730.249054351139454
0.79100.1100750062710.252940950454313
0.8100.1682891230490.256333999581202
0.81100.2275396590230.257366530860477
0.82100.2871981329810.254448046554217
0.83100.3464576798370.246756962011521
0.84100.4045081142520.234503883804975
0.85100.4607339856840.218964850494933
0.86100.5148708528580.202361416839108
0.87100.5670569882790.186932543744823
0.88100.6177446959690.174505007341119
0.89100.6674835982660.165321673283683
0.9100.7166438558580.158247625617442
0.91100.7651886883350.15079462130769
0.92100.8126118672450.140823974135095
0.93100.8581246015230.127093395317132
0.94100.9011398785010.110224415426768
0.95100.9420939502870.0926093057241189
0.96100.9835266032630.0786457338169417
0.97101.0305755448720.0767510288540795
0.98101.0882154678580.0981982519787088
0.99101.1522181797440.14008944073123


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')