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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, 21 Feb 2013 13:31:27 -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/2013/Feb/21/t1361471537i82v7otibr3xemk.htm/, Retrieved Fri, 03 May 2024 00:40:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206818, Retrieved Fri, 03 May 2024 00:40:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [Werkloosheidsgraa...] [2013-02-21 18:31:27] [66913edeccd589e3e35c84ad0be9abda] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8.5
8.5
8.5
8.6
8.6
8.4
8.2
8
8
8
8
7.9
7.9
7.9
7.9
8
7.9
7.4
7.2
7
6.9
7.1
7.2
7.2
7.1
6.9
6.8
6.8
6.8
6.9
7.1
7.2
7.2
7.1
7.1
7.2
7.5
7.7
7.8
7.7
7.7
7.8
8
8.1
8.1
8
8.1
8.2
8.4
8.5
8.5
8.5
8.5
8.5
8.4
8.3
8.2
8.1
7.9
7.6
7.3
7.1
7
7.1
7.1
7.1
7.3
7.3
7.3
7.2
7.2
7.1

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=206818&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=206818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206818&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
0.016.802654104587070.00903058022026194
0.026.810682694177970.025756851596984
0.036.825374397168480.0431902262247129
0.046.845827134848280.0556530823797014
0.056.869922994622950.062791515091774
0.066.895670124823030.067533307711965
0.076.921840103193050.0719673923549827
0.086.94781387414380.0757090689844653
0.096.973138643383490.0771624922776986
0.16.997243199797790.0751480697759876
0.117.019435508029610.0695446731827201
0.127.039072511764060.0611566688292111
0.137.055743264469960.0513029993242691
0.147.069368371155140.0414065041080172
0.157.080196864586020.0326986661781075
0.167.088729010867330.0261230598680798
0.177.095606336559540.0223162646403343
0.187.101502481510330.0215004991887604
0.197.10703451022230.0232535962588533
0.27.112702303394420.026711289168434
0.217.118856303651440.0310129292399584
0.227.125690612887240.0354473585380627
0.237.133257401243270.0394689695277151
0.247.141498106034960.0427038720792409
0.257.150286126990220.0450119194393243
0.267.159474722294150.0464731543773446
0.277.168943179422230.0474073085204651
0.287.178634697572750.0483145552191944
0.297.188581012223210.049818710275607
0.37.198911335551460.0525302307175389
0.317.209846016991410.0569433563005166
0.327.221677698561650.0633507684174563
0.337.23474411392910.0718305163463882
0.347.249396908364670.0822849862382669
0.357.265970175673760.0944554975365294
0.367.284751296043260.108014273006629
0.377.305955620292070.122486316433037
0.387.32970591942970.13732419513283
0.397.356017373406150.151909400764143
0.47.384789026756910.16557216712848
0.417.415802770763970.177663674790309
0.427.448730721474270.187566518283184
0.437.483151207299580.194809704283715
0.447.518572535476970.199052083752098
0.457.55446253788440.200167653428542
0.467.590280948457820.19821532890593
0.477.625511225975680.193427815879326
0.487.659688632574860.186196032609892
0.497.692422132820430.176997756714678
0.57.723408752848480.166361398398811
0.517.752440136292750.154827992549208
0.527.779401908753030.142903872600423
0.537.804267002606660.1310477514223
0.547.827084332283650.119643928530839
0.557.847964276011130.109008214095149
0.567.867062452007760.0993587009204595
0.577.884563342160430.0908328623770717
0.587.900665373136650.083473457555665
0.597.915568988711570.0772459477083788
0.67.929468903069010.072059417409976
0.617.942551057091620.0678135279894836
0.627.95499389137970.0644246513968426
0.637.966972622619590.0618742085026651
0.647.97866455592820.0601906133108115
0.657.990253334484840.0594467358915008
0.668.001930514025780.059723067889687
0.678.01389383105310.0610512700178749
0.688.026342688793440.0633925583034285
0.698.039472296109260.0666508385849478
0.78.053468198546360.0706814627336704
0.718.068502475271740.0753537987472069
0.728.084731763600130.0805474385692176
0.738.102295907419390.0861735411077516
0.748.121314955059850.0921508769037835
0.758.141881972874780.0983639578989763
0.768.164049978825510.104629020284486
0.778.187813142257190.110653658013032
0.788.213084735028990.116026019678154
0.798.239676357955230.120247356795578
0.88.267283895909960.122769374268098
0.818.295485013227920.123108461578995
0.828.323750955417650.120895007623345
0.838.351472777736740.115958088254911
0.848.377999940792240.108338244556637
0.858.402688185544410.0983021109126156
0.868.424953534584160.0863024351330653
0.878.444329234125260.0729656603526749
0.888.460521769256710.0590646498772676
0.898.473461651578640.0454648602898873
0.98.483347317923360.0330594184100039
0.918.49068846549930.0226740784012995
0.928.496363625628350.0151137382861618
0.938.50169516854890.0117161726050843
0.948.508477955407520.0146588481128573
0.958.518762433808070.0237719450293451
0.968.534091598726310.0362261395797736
0.978.554121095364640.0457618790000376
0.988.57540345978690.0429227603011982
0.998.592133473518920.0233486622203654

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80265410458707 & 0.00903058022026194 \tabularnewline
0.02 & 6.81068269417797 & 0.025756851596984 \tabularnewline
0.03 & 6.82537439716848 & 0.0431902262247129 \tabularnewline
0.04 & 6.84582713484828 & 0.0556530823797014 \tabularnewline
0.05 & 6.86992299462295 & 0.062791515091774 \tabularnewline
0.06 & 6.89567012482303 & 0.067533307711965 \tabularnewline
0.07 & 6.92184010319305 & 0.0719673923549827 \tabularnewline
0.08 & 6.9478138741438 & 0.0757090689844653 \tabularnewline
0.09 & 6.97313864338349 & 0.0771624922776986 \tabularnewline
0.1 & 6.99724319979779 & 0.0751480697759876 \tabularnewline
0.11 & 7.01943550802961 & 0.0695446731827201 \tabularnewline
0.12 & 7.03907251176406 & 0.0611566688292111 \tabularnewline
0.13 & 7.05574326446996 & 0.0513029993242691 \tabularnewline
0.14 & 7.06936837115514 & 0.0414065041080172 \tabularnewline
0.15 & 7.08019686458602 & 0.0326986661781075 \tabularnewline
0.16 & 7.08872901086733 & 0.0261230598680798 \tabularnewline
0.17 & 7.09560633655954 & 0.0223162646403343 \tabularnewline
0.18 & 7.10150248151033 & 0.0215004991887604 \tabularnewline
0.19 & 7.1070345102223 & 0.0232535962588533 \tabularnewline
0.2 & 7.11270230339442 & 0.026711289168434 \tabularnewline
0.21 & 7.11885630365144 & 0.0310129292399584 \tabularnewline
0.22 & 7.12569061288724 & 0.0354473585380627 \tabularnewline
0.23 & 7.13325740124327 & 0.0394689695277151 \tabularnewline
0.24 & 7.14149810603496 & 0.0427038720792409 \tabularnewline
0.25 & 7.15028612699022 & 0.0450119194393243 \tabularnewline
0.26 & 7.15947472229415 & 0.0464731543773446 \tabularnewline
0.27 & 7.16894317942223 & 0.0474073085204651 \tabularnewline
0.28 & 7.17863469757275 & 0.0483145552191944 \tabularnewline
0.29 & 7.18858101222321 & 0.049818710275607 \tabularnewline
0.3 & 7.19891133555146 & 0.0525302307175389 \tabularnewline
0.31 & 7.20984601699141 & 0.0569433563005166 \tabularnewline
0.32 & 7.22167769856165 & 0.0633507684174563 \tabularnewline
0.33 & 7.2347441139291 & 0.0718305163463882 \tabularnewline
0.34 & 7.24939690836467 & 0.0822849862382669 \tabularnewline
0.35 & 7.26597017567376 & 0.0944554975365294 \tabularnewline
0.36 & 7.28475129604326 & 0.108014273006629 \tabularnewline
0.37 & 7.30595562029207 & 0.122486316433037 \tabularnewline
0.38 & 7.3297059194297 & 0.13732419513283 \tabularnewline
0.39 & 7.35601737340615 & 0.151909400764143 \tabularnewline
0.4 & 7.38478902675691 & 0.16557216712848 \tabularnewline
0.41 & 7.41580277076397 & 0.177663674790309 \tabularnewline
0.42 & 7.44873072147427 & 0.187566518283184 \tabularnewline
0.43 & 7.48315120729958 & 0.194809704283715 \tabularnewline
0.44 & 7.51857253547697 & 0.199052083752098 \tabularnewline
0.45 & 7.5544625378844 & 0.200167653428542 \tabularnewline
0.46 & 7.59028094845782 & 0.19821532890593 \tabularnewline
0.47 & 7.62551122597568 & 0.193427815879326 \tabularnewline
0.48 & 7.65968863257486 & 0.186196032609892 \tabularnewline
0.49 & 7.69242213282043 & 0.176997756714678 \tabularnewline
0.5 & 7.72340875284848 & 0.166361398398811 \tabularnewline
0.51 & 7.75244013629275 & 0.154827992549208 \tabularnewline
0.52 & 7.77940190875303 & 0.142903872600423 \tabularnewline
0.53 & 7.80426700260666 & 0.1310477514223 \tabularnewline
0.54 & 7.82708433228365 & 0.119643928530839 \tabularnewline
0.55 & 7.84796427601113 & 0.109008214095149 \tabularnewline
0.56 & 7.86706245200776 & 0.0993587009204595 \tabularnewline
0.57 & 7.88456334216043 & 0.0908328623770717 \tabularnewline
0.58 & 7.90066537313665 & 0.083473457555665 \tabularnewline
0.59 & 7.91556898871157 & 0.0772459477083788 \tabularnewline
0.6 & 7.92946890306901 & 0.072059417409976 \tabularnewline
0.61 & 7.94255105709162 & 0.0678135279894836 \tabularnewline
0.62 & 7.9549938913797 & 0.0644246513968426 \tabularnewline
0.63 & 7.96697262261959 & 0.0618742085026651 \tabularnewline
0.64 & 7.9786645559282 & 0.0601906133108115 \tabularnewline
0.65 & 7.99025333448484 & 0.0594467358915008 \tabularnewline
0.66 & 8.00193051402578 & 0.059723067889687 \tabularnewline
0.67 & 8.0138938310531 & 0.0610512700178749 \tabularnewline
0.68 & 8.02634268879344 & 0.0633925583034285 \tabularnewline
0.69 & 8.03947229610926 & 0.0666508385849478 \tabularnewline
0.7 & 8.05346819854636 & 0.0706814627336704 \tabularnewline
0.71 & 8.06850247527174 & 0.0753537987472069 \tabularnewline
0.72 & 8.08473176360013 & 0.0805474385692176 \tabularnewline
0.73 & 8.10229590741939 & 0.0861735411077516 \tabularnewline
0.74 & 8.12131495505985 & 0.0921508769037835 \tabularnewline
0.75 & 8.14188197287478 & 0.0983639578989763 \tabularnewline
0.76 & 8.16404997882551 & 0.104629020284486 \tabularnewline
0.77 & 8.18781314225719 & 0.110653658013032 \tabularnewline
0.78 & 8.21308473502899 & 0.116026019678154 \tabularnewline
0.79 & 8.23967635795523 & 0.120247356795578 \tabularnewline
0.8 & 8.26728389590996 & 0.122769374268098 \tabularnewline
0.81 & 8.29548501322792 & 0.123108461578995 \tabularnewline
0.82 & 8.32375095541765 & 0.120895007623345 \tabularnewline
0.83 & 8.35147277773674 & 0.115958088254911 \tabularnewline
0.84 & 8.37799994079224 & 0.108338244556637 \tabularnewline
0.85 & 8.40268818554441 & 0.0983021109126156 \tabularnewline
0.86 & 8.42495353458416 & 0.0863024351330653 \tabularnewline
0.87 & 8.44432923412526 & 0.0729656603526749 \tabularnewline
0.88 & 8.46052176925671 & 0.0590646498772676 \tabularnewline
0.89 & 8.47346165157864 & 0.0454648602898873 \tabularnewline
0.9 & 8.48334731792336 & 0.0330594184100039 \tabularnewline
0.91 & 8.4906884654993 & 0.0226740784012995 \tabularnewline
0.92 & 8.49636362562835 & 0.0151137382861618 \tabularnewline
0.93 & 8.5016951685489 & 0.0117161726050843 \tabularnewline
0.94 & 8.50847795540752 & 0.0146588481128573 \tabularnewline
0.95 & 8.51876243380807 & 0.0237719450293451 \tabularnewline
0.96 & 8.53409159872631 & 0.0362261395797736 \tabularnewline
0.97 & 8.55412109536464 & 0.0457618790000376 \tabularnewline
0.98 & 8.5754034597869 & 0.0429227603011982 \tabularnewline
0.99 & 8.59213347351892 & 0.0233486622203654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206818&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]6.80265410458707[/C][C]0.00903058022026194[/C][/ROW]
[ROW][C]0.02[/C][C]6.81068269417797[/C][C]0.025756851596984[/C][/ROW]
[ROW][C]0.03[/C][C]6.82537439716848[/C][C]0.0431902262247129[/C][/ROW]
[ROW][C]0.04[/C][C]6.84582713484828[/C][C]0.0556530823797014[/C][/ROW]
[ROW][C]0.05[/C][C]6.86992299462295[/C][C]0.062791515091774[/C][/ROW]
[ROW][C]0.06[/C][C]6.89567012482303[/C][C]0.067533307711965[/C][/ROW]
[ROW][C]0.07[/C][C]6.92184010319305[/C][C]0.0719673923549827[/C][/ROW]
[ROW][C]0.08[/C][C]6.9478138741438[/C][C]0.0757090689844653[/C][/ROW]
[ROW][C]0.09[/C][C]6.97313864338349[/C][C]0.0771624922776986[/C][/ROW]
[ROW][C]0.1[/C][C]6.99724319979779[/C][C]0.0751480697759876[/C][/ROW]
[ROW][C]0.11[/C][C]7.01943550802961[/C][C]0.0695446731827201[/C][/ROW]
[ROW][C]0.12[/C][C]7.03907251176406[/C][C]0.0611566688292111[/C][/ROW]
[ROW][C]0.13[/C][C]7.05574326446996[/C][C]0.0513029993242691[/C][/ROW]
[ROW][C]0.14[/C][C]7.06936837115514[/C][C]0.0414065041080172[/C][/ROW]
[ROW][C]0.15[/C][C]7.08019686458602[/C][C]0.0326986661781075[/C][/ROW]
[ROW][C]0.16[/C][C]7.08872901086733[/C][C]0.0261230598680798[/C][/ROW]
[ROW][C]0.17[/C][C]7.09560633655954[/C][C]0.0223162646403343[/C][/ROW]
[ROW][C]0.18[/C][C]7.10150248151033[/C][C]0.0215004991887604[/C][/ROW]
[ROW][C]0.19[/C][C]7.1070345102223[/C][C]0.0232535962588533[/C][/ROW]
[ROW][C]0.2[/C][C]7.11270230339442[/C][C]0.026711289168434[/C][/ROW]
[ROW][C]0.21[/C][C]7.11885630365144[/C][C]0.0310129292399584[/C][/ROW]
[ROW][C]0.22[/C][C]7.12569061288724[/C][C]0.0354473585380627[/C][/ROW]
[ROW][C]0.23[/C][C]7.13325740124327[/C][C]0.0394689695277151[/C][/ROW]
[ROW][C]0.24[/C][C]7.14149810603496[/C][C]0.0427038720792409[/C][/ROW]
[ROW][C]0.25[/C][C]7.15028612699022[/C][C]0.0450119194393243[/C][/ROW]
[ROW][C]0.26[/C][C]7.15947472229415[/C][C]0.0464731543773446[/C][/ROW]
[ROW][C]0.27[/C][C]7.16894317942223[/C][C]0.0474073085204651[/C][/ROW]
[ROW][C]0.28[/C][C]7.17863469757275[/C][C]0.0483145552191944[/C][/ROW]
[ROW][C]0.29[/C][C]7.18858101222321[/C][C]0.049818710275607[/C][/ROW]
[ROW][C]0.3[/C][C]7.19891133555146[/C][C]0.0525302307175389[/C][/ROW]
[ROW][C]0.31[/C][C]7.20984601699141[/C][C]0.0569433563005166[/C][/ROW]
[ROW][C]0.32[/C][C]7.22167769856165[/C][C]0.0633507684174563[/C][/ROW]
[ROW][C]0.33[/C][C]7.2347441139291[/C][C]0.0718305163463882[/C][/ROW]
[ROW][C]0.34[/C][C]7.24939690836467[/C][C]0.0822849862382669[/C][/ROW]
[ROW][C]0.35[/C][C]7.26597017567376[/C][C]0.0944554975365294[/C][/ROW]
[ROW][C]0.36[/C][C]7.28475129604326[/C][C]0.108014273006629[/C][/ROW]
[ROW][C]0.37[/C][C]7.30595562029207[/C][C]0.122486316433037[/C][/ROW]
[ROW][C]0.38[/C][C]7.3297059194297[/C][C]0.13732419513283[/C][/ROW]
[ROW][C]0.39[/C][C]7.35601737340615[/C][C]0.151909400764143[/C][/ROW]
[ROW][C]0.4[/C][C]7.38478902675691[/C][C]0.16557216712848[/C][/ROW]
[ROW][C]0.41[/C][C]7.41580277076397[/C][C]0.177663674790309[/C][/ROW]
[ROW][C]0.42[/C][C]7.44873072147427[/C][C]0.187566518283184[/C][/ROW]
[ROW][C]0.43[/C][C]7.48315120729958[/C][C]0.194809704283715[/C][/ROW]
[ROW][C]0.44[/C][C]7.51857253547697[/C][C]0.199052083752098[/C][/ROW]
[ROW][C]0.45[/C][C]7.5544625378844[/C][C]0.200167653428542[/C][/ROW]
[ROW][C]0.46[/C][C]7.59028094845782[/C][C]0.19821532890593[/C][/ROW]
[ROW][C]0.47[/C][C]7.62551122597568[/C][C]0.193427815879326[/C][/ROW]
[ROW][C]0.48[/C][C]7.65968863257486[/C][C]0.186196032609892[/C][/ROW]
[ROW][C]0.49[/C][C]7.69242213282043[/C][C]0.176997756714678[/C][/ROW]
[ROW][C]0.5[/C][C]7.72340875284848[/C][C]0.166361398398811[/C][/ROW]
[ROW][C]0.51[/C][C]7.75244013629275[/C][C]0.154827992549208[/C][/ROW]
[ROW][C]0.52[/C][C]7.77940190875303[/C][C]0.142903872600423[/C][/ROW]
[ROW][C]0.53[/C][C]7.80426700260666[/C][C]0.1310477514223[/C][/ROW]
[ROW][C]0.54[/C][C]7.82708433228365[/C][C]0.119643928530839[/C][/ROW]
[ROW][C]0.55[/C][C]7.84796427601113[/C][C]0.109008214095149[/C][/ROW]
[ROW][C]0.56[/C][C]7.86706245200776[/C][C]0.0993587009204595[/C][/ROW]
[ROW][C]0.57[/C][C]7.88456334216043[/C][C]0.0908328623770717[/C][/ROW]
[ROW][C]0.58[/C][C]7.90066537313665[/C][C]0.083473457555665[/C][/ROW]
[ROW][C]0.59[/C][C]7.91556898871157[/C][C]0.0772459477083788[/C][/ROW]
[ROW][C]0.6[/C][C]7.92946890306901[/C][C]0.072059417409976[/C][/ROW]
[ROW][C]0.61[/C][C]7.94255105709162[/C][C]0.0678135279894836[/C][/ROW]
[ROW][C]0.62[/C][C]7.9549938913797[/C][C]0.0644246513968426[/C][/ROW]
[ROW][C]0.63[/C][C]7.96697262261959[/C][C]0.0618742085026651[/C][/ROW]
[ROW][C]0.64[/C][C]7.9786645559282[/C][C]0.0601906133108115[/C][/ROW]
[ROW][C]0.65[/C][C]7.99025333448484[/C][C]0.0594467358915008[/C][/ROW]
[ROW][C]0.66[/C][C]8.00193051402578[/C][C]0.059723067889687[/C][/ROW]
[ROW][C]0.67[/C][C]8.0138938310531[/C][C]0.0610512700178749[/C][/ROW]
[ROW][C]0.68[/C][C]8.02634268879344[/C][C]0.0633925583034285[/C][/ROW]
[ROW][C]0.69[/C][C]8.03947229610926[/C][C]0.0666508385849478[/C][/ROW]
[ROW][C]0.7[/C][C]8.05346819854636[/C][C]0.0706814627336704[/C][/ROW]
[ROW][C]0.71[/C][C]8.06850247527174[/C][C]0.0753537987472069[/C][/ROW]
[ROW][C]0.72[/C][C]8.08473176360013[/C][C]0.0805474385692176[/C][/ROW]
[ROW][C]0.73[/C][C]8.10229590741939[/C][C]0.0861735411077516[/C][/ROW]
[ROW][C]0.74[/C][C]8.12131495505985[/C][C]0.0921508769037835[/C][/ROW]
[ROW][C]0.75[/C][C]8.14188197287478[/C][C]0.0983639578989763[/C][/ROW]
[ROW][C]0.76[/C][C]8.16404997882551[/C][C]0.104629020284486[/C][/ROW]
[ROW][C]0.77[/C][C]8.18781314225719[/C][C]0.110653658013032[/C][/ROW]
[ROW][C]0.78[/C][C]8.21308473502899[/C][C]0.116026019678154[/C][/ROW]
[ROW][C]0.79[/C][C]8.23967635795523[/C][C]0.120247356795578[/C][/ROW]
[ROW][C]0.8[/C][C]8.26728389590996[/C][C]0.122769374268098[/C][/ROW]
[ROW][C]0.81[/C][C]8.29548501322792[/C][C]0.123108461578995[/C][/ROW]
[ROW][C]0.82[/C][C]8.32375095541765[/C][C]0.120895007623345[/C][/ROW]
[ROW][C]0.83[/C][C]8.35147277773674[/C][C]0.115958088254911[/C][/ROW]
[ROW][C]0.84[/C][C]8.37799994079224[/C][C]0.108338244556637[/C][/ROW]
[ROW][C]0.85[/C][C]8.40268818554441[/C][C]0.0983021109126156[/C][/ROW]
[ROW][C]0.86[/C][C]8.42495353458416[/C][C]0.0863024351330653[/C][/ROW]
[ROW][C]0.87[/C][C]8.44432923412526[/C][C]0.0729656603526749[/C][/ROW]
[ROW][C]0.88[/C][C]8.46052176925671[/C][C]0.0590646498772676[/C][/ROW]
[ROW][C]0.89[/C][C]8.47346165157864[/C][C]0.0454648602898873[/C][/ROW]
[ROW][C]0.9[/C][C]8.48334731792336[/C][C]0.0330594184100039[/C][/ROW]
[ROW][C]0.91[/C][C]8.4906884654993[/C][C]0.0226740784012995[/C][/ROW]
[ROW][C]0.92[/C][C]8.49636362562835[/C][C]0.0151137382861618[/C][/ROW]
[ROW][C]0.93[/C][C]8.5016951685489[/C][C]0.0117161726050843[/C][/ROW]
[ROW][C]0.94[/C][C]8.50847795540752[/C][C]0.0146588481128573[/C][/ROW]
[ROW][C]0.95[/C][C]8.51876243380807[/C][C]0.0237719450293451[/C][/ROW]
[ROW][C]0.96[/C][C]8.53409159872631[/C][C]0.0362261395797736[/C][/ROW]
[ROW][C]0.97[/C][C]8.55412109536464[/C][C]0.0457618790000376[/C][/ROW]
[ROW][C]0.98[/C][C]8.5754034597869[/C][C]0.0429227603011982[/C][/ROW]
[ROW][C]0.99[/C][C]8.59213347351892[/C][C]0.0233486622203654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206818&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
0.016.802654104587070.00903058022026194
0.026.810682694177970.025756851596984
0.036.825374397168480.0431902262247129
0.046.845827134848280.0556530823797014
0.056.869922994622950.062791515091774
0.066.895670124823030.067533307711965
0.076.921840103193050.0719673923549827
0.086.94781387414380.0757090689844653
0.096.973138643383490.0771624922776986
0.16.997243199797790.0751480697759876
0.117.019435508029610.0695446731827201
0.127.039072511764060.0611566688292111
0.137.055743264469960.0513029993242691
0.147.069368371155140.0414065041080172
0.157.080196864586020.0326986661781075
0.167.088729010867330.0261230598680798
0.177.095606336559540.0223162646403343
0.187.101502481510330.0215004991887604
0.197.10703451022230.0232535962588533
0.27.112702303394420.026711289168434
0.217.118856303651440.0310129292399584
0.227.125690612887240.0354473585380627
0.237.133257401243270.0394689695277151
0.247.141498106034960.0427038720792409
0.257.150286126990220.0450119194393243
0.267.159474722294150.0464731543773446
0.277.168943179422230.0474073085204651
0.287.178634697572750.0483145552191944
0.297.188581012223210.049818710275607
0.37.198911335551460.0525302307175389
0.317.209846016991410.0569433563005166
0.327.221677698561650.0633507684174563
0.337.23474411392910.0718305163463882
0.347.249396908364670.0822849862382669
0.357.265970175673760.0944554975365294
0.367.284751296043260.108014273006629
0.377.305955620292070.122486316433037
0.387.32970591942970.13732419513283
0.397.356017373406150.151909400764143
0.47.384789026756910.16557216712848
0.417.415802770763970.177663674790309
0.427.448730721474270.187566518283184
0.437.483151207299580.194809704283715
0.447.518572535476970.199052083752098
0.457.55446253788440.200167653428542
0.467.590280948457820.19821532890593
0.477.625511225975680.193427815879326
0.487.659688632574860.186196032609892
0.497.692422132820430.176997756714678
0.57.723408752848480.166361398398811
0.517.752440136292750.154827992549208
0.527.779401908753030.142903872600423
0.537.804267002606660.1310477514223
0.547.827084332283650.119643928530839
0.557.847964276011130.109008214095149
0.567.867062452007760.0993587009204595
0.577.884563342160430.0908328623770717
0.587.900665373136650.083473457555665
0.597.915568988711570.0772459477083788
0.67.929468903069010.072059417409976
0.617.942551057091620.0678135279894836
0.627.95499389137970.0644246513968426
0.637.966972622619590.0618742085026651
0.647.97866455592820.0601906133108115
0.657.990253334484840.0594467358915008
0.668.001930514025780.059723067889687
0.678.01389383105310.0610512700178749
0.688.026342688793440.0633925583034285
0.698.039472296109260.0666508385849478
0.78.053468198546360.0706814627336704
0.718.068502475271740.0753537987472069
0.728.084731763600130.0805474385692176
0.738.102295907419390.0861735411077516
0.748.121314955059850.0921508769037835
0.758.141881972874780.0983639578989763
0.768.164049978825510.104629020284486
0.778.187813142257190.110653658013032
0.788.213084735028990.116026019678154
0.798.239676357955230.120247356795578
0.88.267283895909960.122769374268098
0.818.295485013227920.123108461578995
0.828.323750955417650.120895007623345
0.838.351472777736740.115958088254911
0.848.377999940792240.108338244556637
0.858.402688185544410.0983021109126156
0.868.424953534584160.0863024351330653
0.878.444329234125260.0729656603526749
0.888.460521769256710.0590646498772676
0.898.473461651578640.0454648602898873
0.98.483347317923360.0330594184100039
0.918.49068846549930.0226740784012995
0.928.496363625628350.0151137382861618
0.938.50169516854890.0117161726050843
0.948.508477955407520.0146588481128573
0.958.518762433808070.0237719450293451
0.968.534091598726310.0362261395797736
0.978.554121095364640.0457618790000376
0.988.57540345978690.0429227603011982
0.998.592133473518920.0233486622203654


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')