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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 17 Dec 2014 15:14:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/17/t1418829305r4q926xuqgl776h.htm/, Retrieved Thu, 16 May 2024 15:39:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270390, Retrieved Thu, 16 May 2024 15:39:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequency Plot (B...] [2014-10-01 12:48:26] [1a6d42b46b3d01bc960fcfb45e99fecd]
- RMPD    [Harrell-Davis Quantiles] [score] [2014-12-17 15:14:56] [88f8137dd67cdcd531568536dca46410] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9
12.2
12.8
7.4
6.7
12.6
14.8
13.3
11.1
8.2
11.4
6.4
10.6
12
6.3
11.3
11.9
9.3
9.6
10
6.4
13.8
10.8
13.8
11.7
10.9
16.1
13.4
9.9
11.5
8.3
11.7
9
9.7
10.8
10.3
10.4
12.7
9.3
11.8
5.9
11.4
13
10.8
12.3
11.3
11.8
7.9
12.7
12.3
11.6
6.7
10.9
12.1
13.3
10.1
5.7
14.3
8
13.3
9.3
12.5
7.6
15.9
9.2
9.1
11.1
13
14.5
12.2
12.3
11.4
8.8
14.6
12.6
13
12.6
13.2
9.9
7.7
10.5
13.4
10.9
4.3
10.3
11.8
11.2
11.4
8.6
13.2
12.6
5.6
9.9
8.8
7.7
9
7.3
11.4
13.6
7.9
10.7
10.3
8.3
9.6
14.2
8.5
13.5
4.9
6.4
9.6
11.6
11.1
4.35
12.7
18.1
17.85
16.6
12.6
17.1
19.1
16.1
13.35
18.4
14.7
10.6
12.6
16.2
13.6
18.9
14.1
14.5
16.15
14.75
14.8
12.45
12.65
17.35
8.6
18.4
16.1
11.6
17.75
15.25
17.65
16.35
17.65
13.6
14.35
14.75
18.25
9.9
16
18.25
16.85
14.6
13.85
18.95
15.6
14.85
11.75
18.45
15.9
17.1
16.1
19.9
10.95
18.45
15.1
15
11.35
15.95
18.1
14.6
15.4
15.4
17.6
13.35
19.1
15.35
7.6
13.4
13.9
19.1
15.25
12.9
16.1
17.35
13.15
12.15
12.6
10.35
15.4
9.6
18.2
13.6
14.85
14.75
14.1
14.9
16.25
19.25
13.6
13.6
15.65
12.75
14.6
9.85
12.65
19.2
16.6
11.2
15.25
11.9
13.2
16.35
12.4
15.85
18.15
11.15
15.65
17.75
7.65
12.35
15.6
19.3
15.2
17.1
15.6
18.4
19.05
18.55
19.1
13.1
12.85
9.5
4.5
11.85
13.6
11.7
12.4
13.35
11.4
14.9
19.9
11.2
14.6
17.6
14.05
16.1
13.35
11.85
11.95
14.75
15.15
13.2
16.85
7.85
7.7
12.6
7.85
10.95
12.35
9.95
14.9
16.65
13.4
13.95
15.7
16.85
10.95
15.35
12.2
15.1
17.75
15.2
14.6
16.65
8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270390&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270390&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270390&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.75676094129040.510881079538327
0.025.608483542107650.554819552956411
0.036.226916445722340.445067325678662
0.046.685416915247730.479628317471228
0.057.105166391311530.477647555538019
0.067.447466937975060.361546808043677
0.077.684797578996620.26679416797727
0.087.866369208654650.266147547220202
0.098.048744731798850.321252415649161
0.18.255532866262390.382444806268509
0.118.483818389279910.42310685754976
0.128.719783079523040.435844262097787
0.138.94938723279480.425242708373555
0.149.163281939241840.400822876679702
0.159.357752662494660.37243981826344
0.169.533792978768910.348129109919559
0.179.695687312106030.33396592357927
0.189.849423165280010.332507978675871
0.1910.00072020286280.341241615154797
0.210.15292087935250.352570504609607
0.2110.30573290043920.357421735698289
0.2210.45568142268690.350156734151513
0.2310.59805537796240.330818993972862
0.2410.7291743841750.304365083404079
0.2510.84775096442680.277509673010687
0.2610.95484866833750.255269593709698
0.2711.05283926349080.239257159002128
0.2811.14424847533530.228607865143932
0.2911.2311688138920.222081748569587
0.311.31527643990190.219213211187414
0.3111.39802616938250.219797708337517
0.3211.48066895462980.223254246099801
0.3311.56412178306140.228447327037119
0.3411.64893588199640.234447055671817
0.3511.73544694224440.241079722298431
0.3611.82390726928790.248446317027651
0.3711.91437243244120.255522604836469
0.3812.00638724807990.260283227109625
0.3912.09876701064330.260302602856462
0.412.18972126658310.25438277279027
0.4112.27729972352940.242892673468565
0.4212.35994843959140.227789840198242
0.4312.43698658521420.212078982221197
0.4412.50891353693680.199393276985094
0.4512.57746593708460.193378522411921
0.4612.64530410488370.196192160837059
0.4712.71528443536570.207087380171373
0.4812.78950761344640.222228988550545
0.4912.86854622637730.236199718608132
0.512.95124350597510.244048277554098
0.5113.03521321016530.243525486392314
0.5213.11782961468160.235619764508636
0.5313.19728457624760.224103675777959
0.5413.27330524914030.214243937606359
0.5513.34732804374060.210924249348776
0.5613.42217618072840.217493728597414
0.5713.50144248229880.235013968369958
0.5813.58876531849240.262366232298961
0.5913.68706853273350.296303553094469
0.613.79777469395850.331371791399641
0.6113.92010107955790.360489490095643
0.6214.05073408424630.37646089884025
0.6314.18423378069250.37456819356566
0.6414.31428661267750.3545967501876
0.6514.43547613629070.321689101302925
0.6614.54487329951380.284502677943945
0.6714.64274848062710.252410809250361
0.6814.7321131865170.231824626861801
0.6914.81735714235410.224419096359603
0.714.90263585642730.227201501529004
0.7114.9907217345240.234854723227592
0.7215.08276403045150.243089207025675
0.7315.17890507678650.250381049379069
0.7415.27919148684880.257729232334158
0.7515.3840391792060.266355721946063
0.7615.49386241657220.275430435994242
0.7715.60816410131540.281411554671827
0.7815.72494898131110.280401373507225
0.7915.84136983044380.27159643448427
0.815.95582267757130.260610082227648
0.8116.07037986977110.258503414929175
0.8216.19144937862960.274632047329825
0.8316.32739037097140.30847024273648
0.8416.48449201285160.349563941774647
0.8516.66439383193140.386177691344109
0.8616.8641356164830.410679916546917
0.8717.07698164607440.417245938078346
0.8817.29305638738810.401177682111982
0.8917.5022789245610.366555453143363
0.917.69971837680910.329022022845914
0.9117.88639282228930.29824624405861
0.9218.0627629914510.265948621610177
0.9318.22766334802520.231026649956692
0.9418.39268501716470.223761018415918
0.9518.58800195979350.261918991852853
0.9618.81681455451570.265013180255879
0.9719.01543790768560.16872513594459
0.9819.16638358211530.108056861964378
0.9919.48547034466010.275482355047572

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.7567609412904 & 0.510881079538327 \tabularnewline
0.02 & 5.60848354210765 & 0.554819552956411 \tabularnewline
0.03 & 6.22691644572234 & 0.445067325678662 \tabularnewline
0.04 & 6.68541691524773 & 0.479628317471228 \tabularnewline
0.05 & 7.10516639131153 & 0.477647555538019 \tabularnewline
0.06 & 7.44746693797506 & 0.361546808043677 \tabularnewline
0.07 & 7.68479757899662 & 0.26679416797727 \tabularnewline
0.08 & 7.86636920865465 & 0.266147547220202 \tabularnewline
0.09 & 8.04874473179885 & 0.321252415649161 \tabularnewline
0.1 & 8.25553286626239 & 0.382444806268509 \tabularnewline
0.11 & 8.48381838927991 & 0.42310685754976 \tabularnewline
0.12 & 8.71978307952304 & 0.435844262097787 \tabularnewline
0.13 & 8.9493872327948 & 0.425242708373555 \tabularnewline
0.14 & 9.16328193924184 & 0.400822876679702 \tabularnewline
0.15 & 9.35775266249466 & 0.37243981826344 \tabularnewline
0.16 & 9.53379297876891 & 0.348129109919559 \tabularnewline
0.17 & 9.69568731210603 & 0.33396592357927 \tabularnewline
0.18 & 9.84942316528001 & 0.332507978675871 \tabularnewline
0.19 & 10.0007202028628 & 0.341241615154797 \tabularnewline
0.2 & 10.1529208793525 & 0.352570504609607 \tabularnewline
0.21 & 10.3057329004392 & 0.357421735698289 \tabularnewline
0.22 & 10.4556814226869 & 0.350156734151513 \tabularnewline
0.23 & 10.5980553779624 & 0.330818993972862 \tabularnewline
0.24 & 10.729174384175 & 0.304365083404079 \tabularnewline
0.25 & 10.8477509644268 & 0.277509673010687 \tabularnewline
0.26 & 10.9548486683375 & 0.255269593709698 \tabularnewline
0.27 & 11.0528392634908 & 0.239257159002128 \tabularnewline
0.28 & 11.1442484753353 & 0.228607865143932 \tabularnewline
0.29 & 11.231168813892 & 0.222081748569587 \tabularnewline
0.3 & 11.3152764399019 & 0.219213211187414 \tabularnewline
0.31 & 11.3980261693825 & 0.219797708337517 \tabularnewline
0.32 & 11.4806689546298 & 0.223254246099801 \tabularnewline
0.33 & 11.5641217830614 & 0.228447327037119 \tabularnewline
0.34 & 11.6489358819964 & 0.234447055671817 \tabularnewline
0.35 & 11.7354469422444 & 0.241079722298431 \tabularnewline
0.36 & 11.8239072692879 & 0.248446317027651 \tabularnewline
0.37 & 11.9143724324412 & 0.255522604836469 \tabularnewline
0.38 & 12.0063872480799 & 0.260283227109625 \tabularnewline
0.39 & 12.0987670106433 & 0.260302602856462 \tabularnewline
0.4 & 12.1897212665831 & 0.25438277279027 \tabularnewline
0.41 & 12.2772997235294 & 0.242892673468565 \tabularnewline
0.42 & 12.3599484395914 & 0.227789840198242 \tabularnewline
0.43 & 12.4369865852142 & 0.212078982221197 \tabularnewline
0.44 & 12.5089135369368 & 0.199393276985094 \tabularnewline
0.45 & 12.5774659370846 & 0.193378522411921 \tabularnewline
0.46 & 12.6453041048837 & 0.196192160837059 \tabularnewline
0.47 & 12.7152844353657 & 0.207087380171373 \tabularnewline
0.48 & 12.7895076134464 & 0.222228988550545 \tabularnewline
0.49 & 12.8685462263773 & 0.236199718608132 \tabularnewline
0.5 & 12.9512435059751 & 0.244048277554098 \tabularnewline
0.51 & 13.0352132101653 & 0.243525486392314 \tabularnewline
0.52 & 13.1178296146816 & 0.235619764508636 \tabularnewline
0.53 & 13.1972845762476 & 0.224103675777959 \tabularnewline
0.54 & 13.2733052491403 & 0.214243937606359 \tabularnewline
0.55 & 13.3473280437406 & 0.210924249348776 \tabularnewline
0.56 & 13.4221761807284 & 0.217493728597414 \tabularnewline
0.57 & 13.5014424822988 & 0.235013968369958 \tabularnewline
0.58 & 13.5887653184924 & 0.262366232298961 \tabularnewline
0.59 & 13.6870685327335 & 0.296303553094469 \tabularnewline
0.6 & 13.7977746939585 & 0.331371791399641 \tabularnewline
0.61 & 13.9201010795579 & 0.360489490095643 \tabularnewline
0.62 & 14.0507340842463 & 0.37646089884025 \tabularnewline
0.63 & 14.1842337806925 & 0.37456819356566 \tabularnewline
0.64 & 14.3142866126775 & 0.3545967501876 \tabularnewline
0.65 & 14.4354761362907 & 0.321689101302925 \tabularnewline
0.66 & 14.5448732995138 & 0.284502677943945 \tabularnewline
0.67 & 14.6427484806271 & 0.252410809250361 \tabularnewline
0.68 & 14.732113186517 & 0.231824626861801 \tabularnewline
0.69 & 14.8173571423541 & 0.224419096359603 \tabularnewline
0.7 & 14.9026358564273 & 0.227201501529004 \tabularnewline
0.71 & 14.990721734524 & 0.234854723227592 \tabularnewline
0.72 & 15.0827640304515 & 0.243089207025675 \tabularnewline
0.73 & 15.1789050767865 & 0.250381049379069 \tabularnewline
0.74 & 15.2791914868488 & 0.257729232334158 \tabularnewline
0.75 & 15.384039179206 & 0.266355721946063 \tabularnewline
0.76 & 15.4938624165722 & 0.275430435994242 \tabularnewline
0.77 & 15.6081641013154 & 0.281411554671827 \tabularnewline
0.78 & 15.7249489813111 & 0.280401373507225 \tabularnewline
0.79 & 15.8413698304438 & 0.27159643448427 \tabularnewline
0.8 & 15.9558226775713 & 0.260610082227648 \tabularnewline
0.81 & 16.0703798697711 & 0.258503414929175 \tabularnewline
0.82 & 16.1914493786296 & 0.274632047329825 \tabularnewline
0.83 & 16.3273903709714 & 0.30847024273648 \tabularnewline
0.84 & 16.4844920128516 & 0.349563941774647 \tabularnewline
0.85 & 16.6643938319314 & 0.386177691344109 \tabularnewline
0.86 & 16.864135616483 & 0.410679916546917 \tabularnewline
0.87 & 17.0769816460744 & 0.417245938078346 \tabularnewline
0.88 & 17.2930563873881 & 0.401177682111982 \tabularnewline
0.89 & 17.502278924561 & 0.366555453143363 \tabularnewline
0.9 & 17.6997183768091 & 0.329022022845914 \tabularnewline
0.91 & 17.8863928222893 & 0.29824624405861 \tabularnewline
0.92 & 18.062762991451 & 0.265948621610177 \tabularnewline
0.93 & 18.2276633480252 & 0.231026649956692 \tabularnewline
0.94 & 18.3926850171647 & 0.223761018415918 \tabularnewline
0.95 & 18.5880019597935 & 0.261918991852853 \tabularnewline
0.96 & 18.8168145545157 & 0.265013180255879 \tabularnewline
0.97 & 19.0154379076856 & 0.16872513594459 \tabularnewline
0.98 & 19.1663835821153 & 0.108056861964378 \tabularnewline
0.99 & 19.4854703446601 & 0.275482355047572 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270390&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]4.7567609412904[/C][C]0.510881079538327[/C][/ROW]
[ROW][C]0.02[/C][C]5.60848354210765[/C][C]0.554819552956411[/C][/ROW]
[ROW][C]0.03[/C][C]6.22691644572234[/C][C]0.445067325678662[/C][/ROW]
[ROW][C]0.04[/C][C]6.68541691524773[/C][C]0.479628317471228[/C][/ROW]
[ROW][C]0.05[/C][C]7.10516639131153[/C][C]0.477647555538019[/C][/ROW]
[ROW][C]0.06[/C][C]7.44746693797506[/C][C]0.361546808043677[/C][/ROW]
[ROW][C]0.07[/C][C]7.68479757899662[/C][C]0.26679416797727[/C][/ROW]
[ROW][C]0.08[/C][C]7.86636920865465[/C][C]0.266147547220202[/C][/ROW]
[ROW][C]0.09[/C][C]8.04874473179885[/C][C]0.321252415649161[/C][/ROW]
[ROW][C]0.1[/C][C]8.25553286626239[/C][C]0.382444806268509[/C][/ROW]
[ROW][C]0.11[/C][C]8.48381838927991[/C][C]0.42310685754976[/C][/ROW]
[ROW][C]0.12[/C][C]8.71978307952304[/C][C]0.435844262097787[/C][/ROW]
[ROW][C]0.13[/C][C]8.9493872327948[/C][C]0.425242708373555[/C][/ROW]
[ROW][C]0.14[/C][C]9.16328193924184[/C][C]0.400822876679702[/C][/ROW]
[ROW][C]0.15[/C][C]9.35775266249466[/C][C]0.37243981826344[/C][/ROW]
[ROW][C]0.16[/C][C]9.53379297876891[/C][C]0.348129109919559[/C][/ROW]
[ROW][C]0.17[/C][C]9.69568731210603[/C][C]0.33396592357927[/C][/ROW]
[ROW][C]0.18[/C][C]9.84942316528001[/C][C]0.332507978675871[/C][/ROW]
[ROW][C]0.19[/C][C]10.0007202028628[/C][C]0.341241615154797[/C][/ROW]
[ROW][C]0.2[/C][C]10.1529208793525[/C][C]0.352570504609607[/C][/ROW]
[ROW][C]0.21[/C][C]10.3057329004392[/C][C]0.357421735698289[/C][/ROW]
[ROW][C]0.22[/C][C]10.4556814226869[/C][C]0.350156734151513[/C][/ROW]
[ROW][C]0.23[/C][C]10.5980553779624[/C][C]0.330818993972862[/C][/ROW]
[ROW][C]0.24[/C][C]10.729174384175[/C][C]0.304365083404079[/C][/ROW]
[ROW][C]0.25[/C][C]10.8477509644268[/C][C]0.277509673010687[/C][/ROW]
[ROW][C]0.26[/C][C]10.9548486683375[/C][C]0.255269593709698[/C][/ROW]
[ROW][C]0.27[/C][C]11.0528392634908[/C][C]0.239257159002128[/C][/ROW]
[ROW][C]0.28[/C][C]11.1442484753353[/C][C]0.228607865143932[/C][/ROW]
[ROW][C]0.29[/C][C]11.231168813892[/C][C]0.222081748569587[/C][/ROW]
[ROW][C]0.3[/C][C]11.3152764399019[/C][C]0.219213211187414[/C][/ROW]
[ROW][C]0.31[/C][C]11.3980261693825[/C][C]0.219797708337517[/C][/ROW]
[ROW][C]0.32[/C][C]11.4806689546298[/C][C]0.223254246099801[/C][/ROW]
[ROW][C]0.33[/C][C]11.5641217830614[/C][C]0.228447327037119[/C][/ROW]
[ROW][C]0.34[/C][C]11.6489358819964[/C][C]0.234447055671817[/C][/ROW]
[ROW][C]0.35[/C][C]11.7354469422444[/C][C]0.241079722298431[/C][/ROW]
[ROW][C]0.36[/C][C]11.8239072692879[/C][C]0.248446317027651[/C][/ROW]
[ROW][C]0.37[/C][C]11.9143724324412[/C][C]0.255522604836469[/C][/ROW]
[ROW][C]0.38[/C][C]12.0063872480799[/C][C]0.260283227109625[/C][/ROW]
[ROW][C]0.39[/C][C]12.0987670106433[/C][C]0.260302602856462[/C][/ROW]
[ROW][C]0.4[/C][C]12.1897212665831[/C][C]0.25438277279027[/C][/ROW]
[ROW][C]0.41[/C][C]12.2772997235294[/C][C]0.242892673468565[/C][/ROW]
[ROW][C]0.42[/C][C]12.3599484395914[/C][C]0.227789840198242[/C][/ROW]
[ROW][C]0.43[/C][C]12.4369865852142[/C][C]0.212078982221197[/C][/ROW]
[ROW][C]0.44[/C][C]12.5089135369368[/C][C]0.199393276985094[/C][/ROW]
[ROW][C]0.45[/C][C]12.5774659370846[/C][C]0.193378522411921[/C][/ROW]
[ROW][C]0.46[/C][C]12.6453041048837[/C][C]0.196192160837059[/C][/ROW]
[ROW][C]0.47[/C][C]12.7152844353657[/C][C]0.207087380171373[/C][/ROW]
[ROW][C]0.48[/C][C]12.7895076134464[/C][C]0.222228988550545[/C][/ROW]
[ROW][C]0.49[/C][C]12.8685462263773[/C][C]0.236199718608132[/C][/ROW]
[ROW][C]0.5[/C][C]12.9512435059751[/C][C]0.244048277554098[/C][/ROW]
[ROW][C]0.51[/C][C]13.0352132101653[/C][C]0.243525486392314[/C][/ROW]
[ROW][C]0.52[/C][C]13.1178296146816[/C][C]0.235619764508636[/C][/ROW]
[ROW][C]0.53[/C][C]13.1972845762476[/C][C]0.224103675777959[/C][/ROW]
[ROW][C]0.54[/C][C]13.2733052491403[/C][C]0.214243937606359[/C][/ROW]
[ROW][C]0.55[/C][C]13.3473280437406[/C][C]0.210924249348776[/C][/ROW]
[ROW][C]0.56[/C][C]13.4221761807284[/C][C]0.217493728597414[/C][/ROW]
[ROW][C]0.57[/C][C]13.5014424822988[/C][C]0.235013968369958[/C][/ROW]
[ROW][C]0.58[/C][C]13.5887653184924[/C][C]0.262366232298961[/C][/ROW]
[ROW][C]0.59[/C][C]13.6870685327335[/C][C]0.296303553094469[/C][/ROW]
[ROW][C]0.6[/C][C]13.7977746939585[/C][C]0.331371791399641[/C][/ROW]
[ROW][C]0.61[/C][C]13.9201010795579[/C][C]0.360489490095643[/C][/ROW]
[ROW][C]0.62[/C][C]14.0507340842463[/C][C]0.37646089884025[/C][/ROW]
[ROW][C]0.63[/C][C]14.1842337806925[/C][C]0.37456819356566[/C][/ROW]
[ROW][C]0.64[/C][C]14.3142866126775[/C][C]0.3545967501876[/C][/ROW]
[ROW][C]0.65[/C][C]14.4354761362907[/C][C]0.321689101302925[/C][/ROW]
[ROW][C]0.66[/C][C]14.5448732995138[/C][C]0.284502677943945[/C][/ROW]
[ROW][C]0.67[/C][C]14.6427484806271[/C][C]0.252410809250361[/C][/ROW]
[ROW][C]0.68[/C][C]14.732113186517[/C][C]0.231824626861801[/C][/ROW]
[ROW][C]0.69[/C][C]14.8173571423541[/C][C]0.224419096359603[/C][/ROW]
[ROW][C]0.7[/C][C]14.9026358564273[/C][C]0.227201501529004[/C][/ROW]
[ROW][C]0.71[/C][C]14.990721734524[/C][C]0.234854723227592[/C][/ROW]
[ROW][C]0.72[/C][C]15.0827640304515[/C][C]0.243089207025675[/C][/ROW]
[ROW][C]0.73[/C][C]15.1789050767865[/C][C]0.250381049379069[/C][/ROW]
[ROW][C]0.74[/C][C]15.2791914868488[/C][C]0.257729232334158[/C][/ROW]
[ROW][C]0.75[/C][C]15.384039179206[/C][C]0.266355721946063[/C][/ROW]
[ROW][C]0.76[/C][C]15.4938624165722[/C][C]0.275430435994242[/C][/ROW]
[ROW][C]0.77[/C][C]15.6081641013154[/C][C]0.281411554671827[/C][/ROW]
[ROW][C]0.78[/C][C]15.7249489813111[/C][C]0.280401373507225[/C][/ROW]
[ROW][C]0.79[/C][C]15.8413698304438[/C][C]0.27159643448427[/C][/ROW]
[ROW][C]0.8[/C][C]15.9558226775713[/C][C]0.260610082227648[/C][/ROW]
[ROW][C]0.81[/C][C]16.0703798697711[/C][C]0.258503414929175[/C][/ROW]
[ROW][C]0.82[/C][C]16.1914493786296[/C][C]0.274632047329825[/C][/ROW]
[ROW][C]0.83[/C][C]16.3273903709714[/C][C]0.30847024273648[/C][/ROW]
[ROW][C]0.84[/C][C]16.4844920128516[/C][C]0.349563941774647[/C][/ROW]
[ROW][C]0.85[/C][C]16.6643938319314[/C][C]0.386177691344109[/C][/ROW]
[ROW][C]0.86[/C][C]16.864135616483[/C][C]0.410679916546917[/C][/ROW]
[ROW][C]0.87[/C][C]17.0769816460744[/C][C]0.417245938078346[/C][/ROW]
[ROW][C]0.88[/C][C]17.2930563873881[/C][C]0.401177682111982[/C][/ROW]
[ROW][C]0.89[/C][C]17.502278924561[/C][C]0.366555453143363[/C][/ROW]
[ROW][C]0.9[/C][C]17.6997183768091[/C][C]0.329022022845914[/C][/ROW]
[ROW][C]0.91[/C][C]17.8863928222893[/C][C]0.29824624405861[/C][/ROW]
[ROW][C]0.92[/C][C]18.062762991451[/C][C]0.265948621610177[/C][/ROW]
[ROW][C]0.93[/C][C]18.2276633480252[/C][C]0.231026649956692[/C][/ROW]
[ROW][C]0.94[/C][C]18.3926850171647[/C][C]0.223761018415918[/C][/ROW]
[ROW][C]0.95[/C][C]18.5880019597935[/C][C]0.261918991852853[/C][/ROW]
[ROW][C]0.96[/C][C]18.8168145545157[/C][C]0.265013180255879[/C][/ROW]
[ROW][C]0.97[/C][C]19.0154379076856[/C][C]0.16872513594459[/C][/ROW]
[ROW][C]0.98[/C][C]19.1663835821153[/C][C]0.108056861964378[/C][/ROW]
[ROW][C]0.99[/C][C]19.4854703446601[/C][C]0.275482355047572[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270390&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270390&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
0.014.75676094129040.510881079538327
0.025.608483542107650.554819552956411
0.036.226916445722340.445067325678662
0.046.685416915247730.479628317471228
0.057.105166391311530.477647555538019
0.067.447466937975060.361546808043677
0.077.684797578996620.26679416797727
0.087.866369208654650.266147547220202
0.098.048744731798850.321252415649161
0.18.255532866262390.382444806268509
0.118.483818389279910.42310685754976
0.128.719783079523040.435844262097787
0.138.94938723279480.425242708373555
0.149.163281939241840.400822876679702
0.159.357752662494660.37243981826344
0.169.533792978768910.348129109919559
0.179.695687312106030.33396592357927
0.189.849423165280010.332507978675871
0.1910.00072020286280.341241615154797
0.210.15292087935250.352570504609607
0.2110.30573290043920.357421735698289
0.2210.45568142268690.350156734151513
0.2310.59805537796240.330818993972862
0.2410.7291743841750.304365083404079
0.2510.84775096442680.277509673010687
0.2610.95484866833750.255269593709698
0.2711.05283926349080.239257159002128
0.2811.14424847533530.228607865143932
0.2911.2311688138920.222081748569587
0.311.31527643990190.219213211187414
0.3111.39802616938250.219797708337517
0.3211.48066895462980.223254246099801
0.3311.56412178306140.228447327037119
0.3411.64893588199640.234447055671817
0.3511.73544694224440.241079722298431
0.3611.82390726928790.248446317027651
0.3711.91437243244120.255522604836469
0.3812.00638724807990.260283227109625
0.3912.09876701064330.260302602856462
0.412.18972126658310.25438277279027
0.4112.27729972352940.242892673468565
0.4212.35994843959140.227789840198242
0.4312.43698658521420.212078982221197
0.4412.50891353693680.199393276985094
0.4512.57746593708460.193378522411921
0.4612.64530410488370.196192160837059
0.4712.71528443536570.207087380171373
0.4812.78950761344640.222228988550545
0.4912.86854622637730.236199718608132
0.512.95124350597510.244048277554098
0.5113.03521321016530.243525486392314
0.5213.11782961468160.235619764508636
0.5313.19728457624760.224103675777959
0.5413.27330524914030.214243937606359
0.5513.34732804374060.210924249348776
0.5613.42217618072840.217493728597414
0.5713.50144248229880.235013968369958
0.5813.58876531849240.262366232298961
0.5913.68706853273350.296303553094469
0.613.79777469395850.331371791399641
0.6113.92010107955790.360489490095643
0.6214.05073408424630.37646089884025
0.6314.18423378069250.37456819356566
0.6414.31428661267750.3545967501876
0.6514.43547613629070.321689101302925
0.6614.54487329951380.284502677943945
0.6714.64274848062710.252410809250361
0.6814.7321131865170.231824626861801
0.6914.81735714235410.224419096359603
0.714.90263585642730.227201501529004
0.7114.9907217345240.234854723227592
0.7215.08276403045150.243089207025675
0.7315.17890507678650.250381049379069
0.7415.27919148684880.257729232334158
0.7515.3840391792060.266355721946063
0.7615.49386241657220.275430435994242
0.7715.60816410131540.281411554671827
0.7815.72494898131110.280401373507225
0.7915.84136983044380.27159643448427
0.815.95582267757130.260610082227648
0.8116.07037986977110.258503414929175
0.8216.19144937862960.274632047329825
0.8316.32739037097140.30847024273648
0.8416.48449201285160.349563941774647
0.8516.66439383193140.386177691344109
0.8616.8641356164830.410679916546917
0.8717.07698164607440.417245938078346
0.8817.29305638738810.401177682111982
0.8917.5022789245610.366555453143363
0.917.69971837680910.329022022845914
0.9117.88639282228930.29824624405861
0.9218.0627629914510.265948621610177
0.9318.22766334802520.231026649956692
0.9418.39268501716470.223761018415918
0.9518.58800195979350.261918991852853
0.9618.81681455451570.265013180255879
0.9719.01543790768560.16872513594459
0.9819.16638358211530.108056861964378
0.9919.48547034466010.275482355047572


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
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')