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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 computationMon, 21 May 2012 10:17:47 -0400
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/May/21/t1337610015gkgn1s5onhapxns.htm/, Retrieved Thu, 02 May 2024 22:17:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166953, Retrieved Thu, 02 May 2024 22:17:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2012-05-21 13:42:45] [03529158f87a00fbd82f668a1eadab3b]
- RMPD    [Harrell-Davis Quantiles] [] [2012-05-21 14:17:47] [217ce5420aea0c151a6b1492c55ab0fd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.92
10.98
11.15
11.19
11.33
11.38
11.4
11.45
11.56
11.61
11.82
11.77
11.85
11.82
11.92
11.86
11.87
11.94
11.86
11.92
11.83
11.91
11.93
11.99
11.96
12.12
11.85
12.01
12.1
12.21
12.31
12.31
12.39
12.35
12.41
12.51
12.27
12.51
12.44
12.47
12.51
12.58
12.5
12.52
12.59
12.51
12.67
12.64
12.54
12.6
12.67
12.62
12.72
12.85
12.85
12.82
12.79
12.94
12.71
12.56

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166953&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166953&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166953&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.94353045108020.0781272873818897
0.0210.98536159679290.10582735882501
0.0311.03855615044790.126425912399167
0.0411.0960471718330.135655068222819
0.0511.15296320331320.137370827996731
0.0611.20681568144420.136139869339288
0.0711.25685923447840.134592639659847
0.0811.30336551610.134069622364622
0.0911.3470792210080.13551716237232
0.111.38887269948310.139366874941678
0.1111.42953079103570.145216985838851
0.1211.46961004034420.151820992762256
0.1311.50935561346040.15759283027893
0.1411.54868097376620.160977904985483
0.1511.5872120811680.160907238805411
0.1611.62438279426720.156919116334907
0.1711.65955587911240.149109655260821
0.1811.69214121889530.138136164788561
0.1911.72168865191530.124909605543569
0.211.74794312390080.110576016797526
0.2111.77086031590580.0961942621113063
0.2211.79058890988280.0826910533200697
0.2311.80743014371910.0707804162109854
0.2411.82178645399950.0609117123739602
0.2511.83410964358820.053269718548972
0.2611.84485620682590.0478441153737391
0.2711.85445418636830.0444497218688183
0.2811.86328295752170.0427684501172586
0.2911.8716650565660.0424576758460496
0.311.87986771907680.0432532361478131
0.3111.88811110060080.0449248136752346
0.3211.89658004297630.0473787459510695
0.3311.90543653675980.0505753385603486
0.3411.91483055761590.0545794410987925
0.3511.92490761174340.0594468527388353
0.3611.9358120377640.0651962082240713
0.3711.94768582349410.0718554841763609
0.3811.96066335376570.0793522661469139
0.3911.97486305825170.0875473620850981
0.411.9903773281040.0962286942643398
0.4112.00726228057140.105134395116377
0.4212.02552895374930.113910554840136
0.4312.04513731426360.122242022819482
0.4412.06599408731760.129751488357931
0.4512.08795491977620.136172260356058
0.4612.11083082658550.141202228430489
0.4712.13439832085190.144691039172633
0.4812.15841216062250.146550899268448
0.4912.18261932446020.146769272173878
0.512.20677269916240.145464774885819
0.5112.23064304659170.142783249643747
0.5212.25402810187280.138941311671985
0.5312.27675810010930.134183987496819
0.5412.29869756485920.128737893904005
0.5512.3197437343360.122829321376642
0.5612.33982246397280.116612390442378
0.5712.35888275260020.110230825210908
0.5812.37689114577950.103726437089252
0.5912.39382715961430.0971797019662834
0.612.4096805639670.0906001336742514
0.6112.42445092039270.0840221939436336
0.6212.43814926571060.0775006290535542
0.6312.45080135608290.071095444083441
0.6412.46245152420090.0649277601592472
0.6512.47316602138370.0591145231771831
0.6612.48303475511690.0538385669054282
0.6712.49217059112170.0492423809367582
0.6812.50070582718360.0454694714831003
0.6912.50878598672010.0426211827315996
0.712.51656162067410.0407282976404843
0.7112.52417923612280.0397318194180306
0.7212.53177269282940.0394929143759181
0.7312.53945636654660.0398304703950914
0.7412.54732106855320.0405574869267331
0.7512.55543319790250.0415005650747384
0.7612.5638370069640.0424846128054511
0.7712.57255933507990.043442047529143
0.7812.58161585400120.0443382019291943
0.7912.5910178595350.0451430782256587
0.812.60077892383310.0458900114484957
0.8112.6109211581140.0466159407285361
0.8212.62148118728390.0473595200779259
0.8312.63251592388260.0481950370981823
0.8412.6441076308750.0491890503368152
0.8512.65636656127110.0504526741368724
0.8612.66942796245920.0520941638835356
0.8712.68343912939040.054176867308941
0.8812.69853251477370.056631684079862
0.8912.71478383310620.0592163189255165
0.912.73216068738010.0614369992355851
0.9112.75047819717030.0625960133873663
0.9212.769393205060.0619298669004165
0.9312.7884842855550.0588776914922333
0.9412.80746613329820.0534194384526705
0.9512.82653391240790.0465772492069236
0.9612.84665940372110.0412325485389134
0.9712.86934948793110.0426719545805829
0.9812.89519531569430.054584995256303
0.9912.92128616517070.0730657983711889

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.9435304510802 & 0.0781272873818897 \tabularnewline
0.02 & 10.9853615967929 & 0.10582735882501 \tabularnewline
0.03 & 11.0385561504479 & 0.126425912399167 \tabularnewline
0.04 & 11.096047171833 & 0.135655068222819 \tabularnewline
0.05 & 11.1529632033132 & 0.137370827996731 \tabularnewline
0.06 & 11.2068156814442 & 0.136139869339288 \tabularnewline
0.07 & 11.2568592344784 & 0.134592639659847 \tabularnewline
0.08 & 11.3033655161 & 0.134069622364622 \tabularnewline
0.09 & 11.347079221008 & 0.13551716237232 \tabularnewline
0.1 & 11.3888726994831 & 0.139366874941678 \tabularnewline
0.11 & 11.4295307910357 & 0.145216985838851 \tabularnewline
0.12 & 11.4696100403442 & 0.151820992762256 \tabularnewline
0.13 & 11.5093556134604 & 0.15759283027893 \tabularnewline
0.14 & 11.5486809737662 & 0.160977904985483 \tabularnewline
0.15 & 11.587212081168 & 0.160907238805411 \tabularnewline
0.16 & 11.6243827942672 & 0.156919116334907 \tabularnewline
0.17 & 11.6595558791124 & 0.149109655260821 \tabularnewline
0.18 & 11.6921412188953 & 0.138136164788561 \tabularnewline
0.19 & 11.7216886519153 & 0.124909605543569 \tabularnewline
0.2 & 11.7479431239008 & 0.110576016797526 \tabularnewline
0.21 & 11.7708603159058 & 0.0961942621113063 \tabularnewline
0.22 & 11.7905889098828 & 0.0826910533200697 \tabularnewline
0.23 & 11.8074301437191 & 0.0707804162109854 \tabularnewline
0.24 & 11.8217864539995 & 0.0609117123739602 \tabularnewline
0.25 & 11.8341096435882 & 0.053269718548972 \tabularnewline
0.26 & 11.8448562068259 & 0.0478441153737391 \tabularnewline
0.27 & 11.8544541863683 & 0.0444497218688183 \tabularnewline
0.28 & 11.8632829575217 & 0.0427684501172586 \tabularnewline
0.29 & 11.871665056566 & 0.0424576758460496 \tabularnewline
0.3 & 11.8798677190768 & 0.0432532361478131 \tabularnewline
0.31 & 11.8881111006008 & 0.0449248136752346 \tabularnewline
0.32 & 11.8965800429763 & 0.0473787459510695 \tabularnewline
0.33 & 11.9054365367598 & 0.0505753385603486 \tabularnewline
0.34 & 11.9148305576159 & 0.0545794410987925 \tabularnewline
0.35 & 11.9249076117434 & 0.0594468527388353 \tabularnewline
0.36 & 11.935812037764 & 0.0651962082240713 \tabularnewline
0.37 & 11.9476858234941 & 0.0718554841763609 \tabularnewline
0.38 & 11.9606633537657 & 0.0793522661469139 \tabularnewline
0.39 & 11.9748630582517 & 0.0875473620850981 \tabularnewline
0.4 & 11.990377328104 & 0.0962286942643398 \tabularnewline
0.41 & 12.0072622805714 & 0.105134395116377 \tabularnewline
0.42 & 12.0255289537493 & 0.113910554840136 \tabularnewline
0.43 & 12.0451373142636 & 0.122242022819482 \tabularnewline
0.44 & 12.0659940873176 & 0.129751488357931 \tabularnewline
0.45 & 12.0879549197762 & 0.136172260356058 \tabularnewline
0.46 & 12.1108308265855 & 0.141202228430489 \tabularnewline
0.47 & 12.1343983208519 & 0.144691039172633 \tabularnewline
0.48 & 12.1584121606225 & 0.146550899268448 \tabularnewline
0.49 & 12.1826193244602 & 0.146769272173878 \tabularnewline
0.5 & 12.2067726991624 & 0.145464774885819 \tabularnewline
0.51 & 12.2306430465917 & 0.142783249643747 \tabularnewline
0.52 & 12.2540281018728 & 0.138941311671985 \tabularnewline
0.53 & 12.2767581001093 & 0.134183987496819 \tabularnewline
0.54 & 12.2986975648592 & 0.128737893904005 \tabularnewline
0.55 & 12.319743734336 & 0.122829321376642 \tabularnewline
0.56 & 12.3398224639728 & 0.116612390442378 \tabularnewline
0.57 & 12.3588827526002 & 0.110230825210908 \tabularnewline
0.58 & 12.3768911457795 & 0.103726437089252 \tabularnewline
0.59 & 12.3938271596143 & 0.0971797019662834 \tabularnewline
0.6 & 12.409680563967 & 0.0906001336742514 \tabularnewline
0.61 & 12.4244509203927 & 0.0840221939436336 \tabularnewline
0.62 & 12.4381492657106 & 0.0775006290535542 \tabularnewline
0.63 & 12.4508013560829 & 0.071095444083441 \tabularnewline
0.64 & 12.4624515242009 & 0.0649277601592472 \tabularnewline
0.65 & 12.4731660213837 & 0.0591145231771831 \tabularnewline
0.66 & 12.4830347551169 & 0.0538385669054282 \tabularnewline
0.67 & 12.4921705911217 & 0.0492423809367582 \tabularnewline
0.68 & 12.5007058271836 & 0.0454694714831003 \tabularnewline
0.69 & 12.5087859867201 & 0.0426211827315996 \tabularnewline
0.7 & 12.5165616206741 & 0.0407282976404843 \tabularnewline
0.71 & 12.5241792361228 & 0.0397318194180306 \tabularnewline
0.72 & 12.5317726928294 & 0.0394929143759181 \tabularnewline
0.73 & 12.5394563665466 & 0.0398304703950914 \tabularnewline
0.74 & 12.5473210685532 & 0.0405574869267331 \tabularnewline
0.75 & 12.5554331979025 & 0.0415005650747384 \tabularnewline
0.76 & 12.563837006964 & 0.0424846128054511 \tabularnewline
0.77 & 12.5725593350799 & 0.043442047529143 \tabularnewline
0.78 & 12.5816158540012 & 0.0443382019291943 \tabularnewline
0.79 & 12.591017859535 & 0.0451430782256587 \tabularnewline
0.8 & 12.6007789238331 & 0.0458900114484957 \tabularnewline
0.81 & 12.610921158114 & 0.0466159407285361 \tabularnewline
0.82 & 12.6214811872839 & 0.0473595200779259 \tabularnewline
0.83 & 12.6325159238826 & 0.0481950370981823 \tabularnewline
0.84 & 12.644107630875 & 0.0491890503368152 \tabularnewline
0.85 & 12.6563665612711 & 0.0504526741368724 \tabularnewline
0.86 & 12.6694279624592 & 0.0520941638835356 \tabularnewline
0.87 & 12.6834391293904 & 0.054176867308941 \tabularnewline
0.88 & 12.6985325147737 & 0.056631684079862 \tabularnewline
0.89 & 12.7147838331062 & 0.0592163189255165 \tabularnewline
0.9 & 12.7321606873801 & 0.0614369992355851 \tabularnewline
0.91 & 12.7504781971703 & 0.0625960133873663 \tabularnewline
0.92 & 12.76939320506 & 0.0619298669004165 \tabularnewline
0.93 & 12.788484285555 & 0.0588776914922333 \tabularnewline
0.94 & 12.8074661332982 & 0.0534194384526705 \tabularnewline
0.95 & 12.8265339124079 & 0.0465772492069236 \tabularnewline
0.96 & 12.8466594037211 & 0.0412325485389134 \tabularnewline
0.97 & 12.8693494879311 & 0.0426719545805829 \tabularnewline
0.98 & 12.8951953156943 & 0.054584995256303 \tabularnewline
0.99 & 12.9212861651707 & 0.0730657983711889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166953&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]10.9435304510802[/C][C]0.0781272873818897[/C][/ROW]
[ROW][C]0.02[/C][C]10.9853615967929[/C][C]0.10582735882501[/C][/ROW]
[ROW][C]0.03[/C][C]11.0385561504479[/C][C]0.126425912399167[/C][/ROW]
[ROW][C]0.04[/C][C]11.096047171833[/C][C]0.135655068222819[/C][/ROW]
[ROW][C]0.05[/C][C]11.1529632033132[/C][C]0.137370827996731[/C][/ROW]
[ROW][C]0.06[/C][C]11.2068156814442[/C][C]0.136139869339288[/C][/ROW]
[ROW][C]0.07[/C][C]11.2568592344784[/C][C]0.134592639659847[/C][/ROW]
[ROW][C]0.08[/C][C]11.3033655161[/C][C]0.134069622364622[/C][/ROW]
[ROW][C]0.09[/C][C]11.347079221008[/C][C]0.13551716237232[/C][/ROW]
[ROW][C]0.1[/C][C]11.3888726994831[/C][C]0.139366874941678[/C][/ROW]
[ROW][C]0.11[/C][C]11.4295307910357[/C][C]0.145216985838851[/C][/ROW]
[ROW][C]0.12[/C][C]11.4696100403442[/C][C]0.151820992762256[/C][/ROW]
[ROW][C]0.13[/C][C]11.5093556134604[/C][C]0.15759283027893[/C][/ROW]
[ROW][C]0.14[/C][C]11.5486809737662[/C][C]0.160977904985483[/C][/ROW]
[ROW][C]0.15[/C][C]11.587212081168[/C][C]0.160907238805411[/C][/ROW]
[ROW][C]0.16[/C][C]11.6243827942672[/C][C]0.156919116334907[/C][/ROW]
[ROW][C]0.17[/C][C]11.6595558791124[/C][C]0.149109655260821[/C][/ROW]
[ROW][C]0.18[/C][C]11.6921412188953[/C][C]0.138136164788561[/C][/ROW]
[ROW][C]0.19[/C][C]11.7216886519153[/C][C]0.124909605543569[/C][/ROW]
[ROW][C]0.2[/C][C]11.7479431239008[/C][C]0.110576016797526[/C][/ROW]
[ROW][C]0.21[/C][C]11.7708603159058[/C][C]0.0961942621113063[/C][/ROW]
[ROW][C]0.22[/C][C]11.7905889098828[/C][C]0.0826910533200697[/C][/ROW]
[ROW][C]0.23[/C][C]11.8074301437191[/C][C]0.0707804162109854[/C][/ROW]
[ROW][C]0.24[/C][C]11.8217864539995[/C][C]0.0609117123739602[/C][/ROW]
[ROW][C]0.25[/C][C]11.8341096435882[/C][C]0.053269718548972[/C][/ROW]
[ROW][C]0.26[/C][C]11.8448562068259[/C][C]0.0478441153737391[/C][/ROW]
[ROW][C]0.27[/C][C]11.8544541863683[/C][C]0.0444497218688183[/C][/ROW]
[ROW][C]0.28[/C][C]11.8632829575217[/C][C]0.0427684501172586[/C][/ROW]
[ROW][C]0.29[/C][C]11.871665056566[/C][C]0.0424576758460496[/C][/ROW]
[ROW][C]0.3[/C][C]11.8798677190768[/C][C]0.0432532361478131[/C][/ROW]
[ROW][C]0.31[/C][C]11.8881111006008[/C][C]0.0449248136752346[/C][/ROW]
[ROW][C]0.32[/C][C]11.8965800429763[/C][C]0.0473787459510695[/C][/ROW]
[ROW][C]0.33[/C][C]11.9054365367598[/C][C]0.0505753385603486[/C][/ROW]
[ROW][C]0.34[/C][C]11.9148305576159[/C][C]0.0545794410987925[/C][/ROW]
[ROW][C]0.35[/C][C]11.9249076117434[/C][C]0.0594468527388353[/C][/ROW]
[ROW][C]0.36[/C][C]11.935812037764[/C][C]0.0651962082240713[/C][/ROW]
[ROW][C]0.37[/C][C]11.9476858234941[/C][C]0.0718554841763609[/C][/ROW]
[ROW][C]0.38[/C][C]11.9606633537657[/C][C]0.0793522661469139[/C][/ROW]
[ROW][C]0.39[/C][C]11.9748630582517[/C][C]0.0875473620850981[/C][/ROW]
[ROW][C]0.4[/C][C]11.990377328104[/C][C]0.0962286942643398[/C][/ROW]
[ROW][C]0.41[/C][C]12.0072622805714[/C][C]0.105134395116377[/C][/ROW]
[ROW][C]0.42[/C][C]12.0255289537493[/C][C]0.113910554840136[/C][/ROW]
[ROW][C]0.43[/C][C]12.0451373142636[/C][C]0.122242022819482[/C][/ROW]
[ROW][C]0.44[/C][C]12.0659940873176[/C][C]0.129751488357931[/C][/ROW]
[ROW][C]0.45[/C][C]12.0879549197762[/C][C]0.136172260356058[/C][/ROW]
[ROW][C]0.46[/C][C]12.1108308265855[/C][C]0.141202228430489[/C][/ROW]
[ROW][C]0.47[/C][C]12.1343983208519[/C][C]0.144691039172633[/C][/ROW]
[ROW][C]0.48[/C][C]12.1584121606225[/C][C]0.146550899268448[/C][/ROW]
[ROW][C]0.49[/C][C]12.1826193244602[/C][C]0.146769272173878[/C][/ROW]
[ROW][C]0.5[/C][C]12.2067726991624[/C][C]0.145464774885819[/C][/ROW]
[ROW][C]0.51[/C][C]12.2306430465917[/C][C]0.142783249643747[/C][/ROW]
[ROW][C]0.52[/C][C]12.2540281018728[/C][C]0.138941311671985[/C][/ROW]
[ROW][C]0.53[/C][C]12.2767581001093[/C][C]0.134183987496819[/C][/ROW]
[ROW][C]0.54[/C][C]12.2986975648592[/C][C]0.128737893904005[/C][/ROW]
[ROW][C]0.55[/C][C]12.319743734336[/C][C]0.122829321376642[/C][/ROW]
[ROW][C]0.56[/C][C]12.3398224639728[/C][C]0.116612390442378[/C][/ROW]
[ROW][C]0.57[/C][C]12.3588827526002[/C][C]0.110230825210908[/C][/ROW]
[ROW][C]0.58[/C][C]12.3768911457795[/C][C]0.103726437089252[/C][/ROW]
[ROW][C]0.59[/C][C]12.3938271596143[/C][C]0.0971797019662834[/C][/ROW]
[ROW][C]0.6[/C][C]12.409680563967[/C][C]0.0906001336742514[/C][/ROW]
[ROW][C]0.61[/C][C]12.4244509203927[/C][C]0.0840221939436336[/C][/ROW]
[ROW][C]0.62[/C][C]12.4381492657106[/C][C]0.0775006290535542[/C][/ROW]
[ROW][C]0.63[/C][C]12.4508013560829[/C][C]0.071095444083441[/C][/ROW]
[ROW][C]0.64[/C][C]12.4624515242009[/C][C]0.0649277601592472[/C][/ROW]
[ROW][C]0.65[/C][C]12.4731660213837[/C][C]0.0591145231771831[/C][/ROW]
[ROW][C]0.66[/C][C]12.4830347551169[/C][C]0.0538385669054282[/C][/ROW]
[ROW][C]0.67[/C][C]12.4921705911217[/C][C]0.0492423809367582[/C][/ROW]
[ROW][C]0.68[/C][C]12.5007058271836[/C][C]0.0454694714831003[/C][/ROW]
[ROW][C]0.69[/C][C]12.5087859867201[/C][C]0.0426211827315996[/C][/ROW]
[ROW][C]0.7[/C][C]12.5165616206741[/C][C]0.0407282976404843[/C][/ROW]
[ROW][C]0.71[/C][C]12.5241792361228[/C][C]0.0397318194180306[/C][/ROW]
[ROW][C]0.72[/C][C]12.5317726928294[/C][C]0.0394929143759181[/C][/ROW]
[ROW][C]0.73[/C][C]12.5394563665466[/C][C]0.0398304703950914[/C][/ROW]
[ROW][C]0.74[/C][C]12.5473210685532[/C][C]0.0405574869267331[/C][/ROW]
[ROW][C]0.75[/C][C]12.5554331979025[/C][C]0.0415005650747384[/C][/ROW]
[ROW][C]0.76[/C][C]12.563837006964[/C][C]0.0424846128054511[/C][/ROW]
[ROW][C]0.77[/C][C]12.5725593350799[/C][C]0.043442047529143[/C][/ROW]
[ROW][C]0.78[/C][C]12.5816158540012[/C][C]0.0443382019291943[/C][/ROW]
[ROW][C]0.79[/C][C]12.591017859535[/C][C]0.0451430782256587[/C][/ROW]
[ROW][C]0.8[/C][C]12.6007789238331[/C][C]0.0458900114484957[/C][/ROW]
[ROW][C]0.81[/C][C]12.610921158114[/C][C]0.0466159407285361[/C][/ROW]
[ROW][C]0.82[/C][C]12.6214811872839[/C][C]0.0473595200779259[/C][/ROW]
[ROW][C]0.83[/C][C]12.6325159238826[/C][C]0.0481950370981823[/C][/ROW]
[ROW][C]0.84[/C][C]12.644107630875[/C][C]0.0491890503368152[/C][/ROW]
[ROW][C]0.85[/C][C]12.6563665612711[/C][C]0.0504526741368724[/C][/ROW]
[ROW][C]0.86[/C][C]12.6694279624592[/C][C]0.0520941638835356[/C][/ROW]
[ROW][C]0.87[/C][C]12.6834391293904[/C][C]0.054176867308941[/C][/ROW]
[ROW][C]0.88[/C][C]12.6985325147737[/C][C]0.056631684079862[/C][/ROW]
[ROW][C]0.89[/C][C]12.7147838331062[/C][C]0.0592163189255165[/C][/ROW]
[ROW][C]0.9[/C][C]12.7321606873801[/C][C]0.0614369992355851[/C][/ROW]
[ROW][C]0.91[/C][C]12.7504781971703[/C][C]0.0625960133873663[/C][/ROW]
[ROW][C]0.92[/C][C]12.76939320506[/C][C]0.0619298669004165[/C][/ROW]
[ROW][C]0.93[/C][C]12.788484285555[/C][C]0.0588776914922333[/C][/ROW]
[ROW][C]0.94[/C][C]12.8074661332982[/C][C]0.0534194384526705[/C][/ROW]
[ROW][C]0.95[/C][C]12.8265339124079[/C][C]0.0465772492069236[/C][/ROW]
[ROW][C]0.96[/C][C]12.8466594037211[/C][C]0.0412325485389134[/C][/ROW]
[ROW][C]0.97[/C][C]12.8693494879311[/C][C]0.0426719545805829[/C][/ROW]
[ROW][C]0.98[/C][C]12.8951953156943[/C][C]0.054584995256303[/C][/ROW]
[ROW][C]0.99[/C][C]12.9212861651707[/C][C]0.0730657983711889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166953&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166953&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
0.0110.94353045108020.0781272873818897
0.0210.98536159679290.10582735882501
0.0311.03855615044790.126425912399167
0.0411.0960471718330.135655068222819
0.0511.15296320331320.137370827996731
0.0611.20681568144420.136139869339288
0.0711.25685923447840.134592639659847
0.0811.30336551610.134069622364622
0.0911.3470792210080.13551716237232
0.111.38887269948310.139366874941678
0.1111.42953079103570.145216985838851
0.1211.46961004034420.151820992762256
0.1311.50935561346040.15759283027893
0.1411.54868097376620.160977904985483
0.1511.5872120811680.160907238805411
0.1611.62438279426720.156919116334907
0.1711.65955587911240.149109655260821
0.1811.69214121889530.138136164788561
0.1911.72168865191530.124909605543569
0.211.74794312390080.110576016797526
0.2111.77086031590580.0961942621113063
0.2211.79058890988280.0826910533200697
0.2311.80743014371910.0707804162109854
0.2411.82178645399950.0609117123739602
0.2511.83410964358820.053269718548972
0.2611.84485620682590.0478441153737391
0.2711.85445418636830.0444497218688183
0.2811.86328295752170.0427684501172586
0.2911.8716650565660.0424576758460496
0.311.87986771907680.0432532361478131
0.3111.88811110060080.0449248136752346
0.3211.89658004297630.0473787459510695
0.3311.90543653675980.0505753385603486
0.3411.91483055761590.0545794410987925
0.3511.92490761174340.0594468527388353
0.3611.9358120377640.0651962082240713
0.3711.94768582349410.0718554841763609
0.3811.96066335376570.0793522661469139
0.3911.97486305825170.0875473620850981
0.411.9903773281040.0962286942643398
0.4112.00726228057140.105134395116377
0.4212.02552895374930.113910554840136
0.4312.04513731426360.122242022819482
0.4412.06599408731760.129751488357931
0.4512.08795491977620.136172260356058
0.4612.11083082658550.141202228430489
0.4712.13439832085190.144691039172633
0.4812.15841216062250.146550899268448
0.4912.18261932446020.146769272173878
0.512.20677269916240.145464774885819
0.5112.23064304659170.142783249643747
0.5212.25402810187280.138941311671985
0.5312.27675810010930.134183987496819
0.5412.29869756485920.128737893904005
0.5512.3197437343360.122829321376642
0.5612.33982246397280.116612390442378
0.5712.35888275260020.110230825210908
0.5812.37689114577950.103726437089252
0.5912.39382715961430.0971797019662834
0.612.4096805639670.0906001336742514
0.6112.42445092039270.0840221939436336
0.6212.43814926571060.0775006290535542
0.6312.45080135608290.071095444083441
0.6412.46245152420090.0649277601592472
0.6512.47316602138370.0591145231771831
0.6612.48303475511690.0538385669054282
0.6712.49217059112170.0492423809367582
0.6812.50070582718360.0454694714831003
0.6912.50878598672010.0426211827315996
0.712.51656162067410.0407282976404843
0.7112.52417923612280.0397318194180306
0.7212.53177269282940.0394929143759181
0.7312.53945636654660.0398304703950914
0.7412.54732106855320.0405574869267331
0.7512.55543319790250.0415005650747384
0.7612.5638370069640.0424846128054511
0.7712.57255933507990.043442047529143
0.7812.58161585400120.0443382019291943
0.7912.5910178595350.0451430782256587
0.812.60077892383310.0458900114484957
0.8112.6109211581140.0466159407285361
0.8212.62148118728390.0473595200779259
0.8312.63251592388260.0481950370981823
0.8412.6441076308750.0491890503368152
0.8512.65636656127110.0504526741368724
0.8612.66942796245920.0520941638835356
0.8712.68343912939040.054176867308941
0.8812.69853251477370.056631684079862
0.8912.71478383310620.0592163189255165
0.912.73216068738010.0614369992355851
0.9112.75047819717030.0625960133873663
0.9212.769393205060.0619298669004165
0.9312.7884842855550.0588776914922333
0.9412.80746613329820.0534194384526705
0.9512.82653391240790.0465772492069236
0.9612.84665940372110.0412325485389134
0.9712.86934948793110.0426719545805829
0.9812.89519531569430.054584995256303
0.9912.92128616517070.0730657983711889


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')