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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 18 Dec 2008 14:08:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/18/t1229634568v16n6c4vcoy59du.htm/, Retrieved Sat, 11 May 2024 04:45:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34950, Retrieved Sat, 11 May 2024 04:45:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [verband tussen in...] [2008-12-17 19:43:34] [5e74953d94072114d25d7276793b561e]
- RMPD  [Standard Deviation-Mean Plot] [werkloosheid/invoer] [2008-12-17 21:07:30] [5e74953d94072114d25d7276793b561e]
- RMPD      [Harrell-Davis Quantiles] [werkloosheid/invoer] [2008-12-18 21:08:25] [5925747fb2a6bb4cfcd8015825ee5e92] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.59
13.17
11.20
13.30
10.78
11.60
15.18
15.87
12.58
11.43
10.30
11.17
11.26
11.20
9.99
11.17
10.29
10.47
14.36
16.06
14.47
13.24
13.03
14.43
13.98
13.62
12.20
12.24
12.07
12.30
16.12
18.38
14.59
12.96
14.14
13.92
14.24
14.10
12.91
13.69
14.11
13.99
17.93
21.37
16.25
14.53
15.36
14.95
15.95
15.25
12.67
13.86
14.65
12.41
17.46
18.95
15.33
15.31
14.84
14.75
15.83
14.83
13.00
13.92
13.94
12.54
18.12
17.83
14.41
15.18
12.99
13.06
12.81
12.95
10.48
13.23
11.80
11.69
15.33
14.89
12.92
11.27
10.68
11.55

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34950&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34950&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34950&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.08827659786150.224170382107332
0.0210.21703272800560.160844521257867
0.0310.33133141114210.156562585056361
0.0410.43213068130630.189356760204765
0.0510.53189847606860.230158906790813
0.0610.63640473436980.264405182660916
0.0710.74427586875100.28301057993084
0.0810.85075425936030.282384963690117
0.0910.95083418579900.265788658746510
0.111.04128534647320.241643455064165
0.1111.12152705540640.220096980568415
0.1211.19340772765160.209275880893122
0.1311.26026028949030.21257139710447
0.1411.32576951644530.228350213075882
0.1511.39307716023560.252338089276783
0.1611.46430476003900.280107958656483
0.1711.54046010842310.308048013897656
0.1811.62158935027090.333493249088246
0.1911.70703272079720.354638774256015
0.211.79568857355840.370318959108043
0.2111.88624153048690.380088853368159
0.2211.97734286253850.383995921252844
0.2312.06774289692220.382673464282704
0.2412.15637597143120.377037835057316
0.2512.24239847609710.368085812810939
0.2612.32518472484970.356752527294062
0.2712.40429268687240.343585482608378
0.2812.47941773752700.328995524678985
0.2912.55035375112640.313143554019425
0.312.61697592401360.296224980226575
0.3112.67925047841290.278612012891593
0.3212.73726629891970.261006324026705
0.3312.79127595844490.244372069140969
0.3412.84173049808000.229946137807247
0.3512.88929394057260.219057260245923
0.3612.93482859679890.212935502065711
0.3712.97934883976940.212508751201064
0.3813.02394733589790.218080069467209
0.3913.06970251339440.229289379280190
0.413.11757884592580.245135189079449
0.4113.16833245907320.264192439807034
0.4213.22243400902840.284590462712951
0.4313.28001906691910.304460344219844
0.4413.34087349792480.321920831613796
0.4513.40445754508220.335377568642662
0.4613.46996758478290.343622787324527
0.4713.53642919539710.346015295208027
0.4813.60281006435380.342569567567658
0.4913.66813744155280.333942301001036
0.513.73160340299240.321292328972199
0.5113.79264278739270.306162317019353
0.5213.85097326818730.29026463832973
0.5313.90659378482320.275157650671557
0.5413.95974502961090.26212308745458
0.5514.01084219869810.251955390231525
0.5614.06039434198370.244876885572986
0.5714.10892558529980.240684558676338
0.5814.15691125434170.238757995814699
0.5914.20473726486030.23841177231707
0.614.25268532765360.238970778271
0.6114.30094097161310.239931656757647
0.6214.34961731967640.240953670369531
0.6314.39878566563430.242002181318881
0.6414.44850426168580.243089347702496
0.6514.49883881955530.244385518689211
0.6614.54987118120420.246025673290266
0.6714.60169555133010.248049788594615
0.6814.65440405328010.250415109083191
0.6914.70806512174180.252973603567736
0.714.7626997223810.255450451246618
0.7114.8182619487390.257429470469121
0.7214.87463207273900.258520000855355
0.7314.93163070584780.258345065821377
0.7414.98906080863490.256728030044657
0.7515.04677842539680.253864944993589
0.7615.1047830878080.250474492476232
0.7715.16330714811930.247720114939611
0.7815.22287499373470.247198970138387
0.7915.28430498493900.250402548224947
0.815.34864473653430.258259479313024
0.8115.41706449681930.270686088259276
0.8215.4907750820090.286745590127697
0.8315.57106619514540.305342035687034
0.8415.65954972284070.326483739783498
0.8515.75861401270860.352580636909815
0.8615.87194257746780.388969038274827
0.8716.00476284077490.442434034004242
0.8816.16337137330060.516934432847612
0.8916.35358871015010.608413898863059
0.916.57826187123140.701832030882021
0.9116.83471756247280.773530786829753
0.9217.11383736266100.799331924860867
0.9317.40264107015080.766854121837248
0.9417.69169619649430.687155421650114
0.9517.98800998710730.601058700223128
0.9618.33369606393240.581568383043745
0.9718.82353481561380.732275683791013
0.9819.57790514339311.15292688073733
0.9920.57205553543231.81998445807072

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.0882765978615 & 0.224170382107332 \tabularnewline
0.02 & 10.2170327280056 & 0.160844521257867 \tabularnewline
0.03 & 10.3313314111421 & 0.156562585056361 \tabularnewline
0.04 & 10.4321306813063 & 0.189356760204765 \tabularnewline
0.05 & 10.5318984760686 & 0.230158906790813 \tabularnewline
0.06 & 10.6364047343698 & 0.264405182660916 \tabularnewline
0.07 & 10.7442758687510 & 0.28301057993084 \tabularnewline
0.08 & 10.8507542593603 & 0.282384963690117 \tabularnewline
0.09 & 10.9508341857990 & 0.265788658746510 \tabularnewline
0.1 & 11.0412853464732 & 0.241643455064165 \tabularnewline
0.11 & 11.1215270554064 & 0.220096980568415 \tabularnewline
0.12 & 11.1934077276516 & 0.209275880893122 \tabularnewline
0.13 & 11.2602602894903 & 0.21257139710447 \tabularnewline
0.14 & 11.3257695164453 & 0.228350213075882 \tabularnewline
0.15 & 11.3930771602356 & 0.252338089276783 \tabularnewline
0.16 & 11.4643047600390 & 0.280107958656483 \tabularnewline
0.17 & 11.5404601084231 & 0.308048013897656 \tabularnewline
0.18 & 11.6215893502709 & 0.333493249088246 \tabularnewline
0.19 & 11.7070327207972 & 0.354638774256015 \tabularnewline
0.2 & 11.7956885735584 & 0.370318959108043 \tabularnewline
0.21 & 11.8862415304869 & 0.380088853368159 \tabularnewline
0.22 & 11.9773428625385 & 0.383995921252844 \tabularnewline
0.23 & 12.0677428969222 & 0.382673464282704 \tabularnewline
0.24 & 12.1563759714312 & 0.377037835057316 \tabularnewline
0.25 & 12.2423984760971 & 0.368085812810939 \tabularnewline
0.26 & 12.3251847248497 & 0.356752527294062 \tabularnewline
0.27 & 12.4042926868724 & 0.343585482608378 \tabularnewline
0.28 & 12.4794177375270 & 0.328995524678985 \tabularnewline
0.29 & 12.5503537511264 & 0.313143554019425 \tabularnewline
0.3 & 12.6169759240136 & 0.296224980226575 \tabularnewline
0.31 & 12.6792504784129 & 0.278612012891593 \tabularnewline
0.32 & 12.7372662989197 & 0.261006324026705 \tabularnewline
0.33 & 12.7912759584449 & 0.244372069140969 \tabularnewline
0.34 & 12.8417304980800 & 0.229946137807247 \tabularnewline
0.35 & 12.8892939405726 & 0.219057260245923 \tabularnewline
0.36 & 12.9348285967989 & 0.212935502065711 \tabularnewline
0.37 & 12.9793488397694 & 0.212508751201064 \tabularnewline
0.38 & 13.0239473358979 & 0.218080069467209 \tabularnewline
0.39 & 13.0697025133944 & 0.229289379280190 \tabularnewline
0.4 & 13.1175788459258 & 0.245135189079449 \tabularnewline
0.41 & 13.1683324590732 & 0.264192439807034 \tabularnewline
0.42 & 13.2224340090284 & 0.284590462712951 \tabularnewline
0.43 & 13.2800190669191 & 0.304460344219844 \tabularnewline
0.44 & 13.3408734979248 & 0.321920831613796 \tabularnewline
0.45 & 13.4044575450822 & 0.335377568642662 \tabularnewline
0.46 & 13.4699675847829 & 0.343622787324527 \tabularnewline
0.47 & 13.5364291953971 & 0.346015295208027 \tabularnewline
0.48 & 13.6028100643538 & 0.342569567567658 \tabularnewline
0.49 & 13.6681374415528 & 0.333942301001036 \tabularnewline
0.5 & 13.7316034029924 & 0.321292328972199 \tabularnewline
0.51 & 13.7926427873927 & 0.306162317019353 \tabularnewline
0.52 & 13.8509732681873 & 0.29026463832973 \tabularnewline
0.53 & 13.9065937848232 & 0.275157650671557 \tabularnewline
0.54 & 13.9597450296109 & 0.26212308745458 \tabularnewline
0.55 & 14.0108421986981 & 0.251955390231525 \tabularnewline
0.56 & 14.0603943419837 & 0.244876885572986 \tabularnewline
0.57 & 14.1089255852998 & 0.240684558676338 \tabularnewline
0.58 & 14.1569112543417 & 0.238757995814699 \tabularnewline
0.59 & 14.2047372648603 & 0.23841177231707 \tabularnewline
0.6 & 14.2526853276536 & 0.238970778271 \tabularnewline
0.61 & 14.3009409716131 & 0.239931656757647 \tabularnewline
0.62 & 14.3496173196764 & 0.240953670369531 \tabularnewline
0.63 & 14.3987856656343 & 0.242002181318881 \tabularnewline
0.64 & 14.4485042616858 & 0.243089347702496 \tabularnewline
0.65 & 14.4988388195553 & 0.244385518689211 \tabularnewline
0.66 & 14.5498711812042 & 0.246025673290266 \tabularnewline
0.67 & 14.6016955513301 & 0.248049788594615 \tabularnewline
0.68 & 14.6544040532801 & 0.250415109083191 \tabularnewline
0.69 & 14.7080651217418 & 0.252973603567736 \tabularnewline
0.7 & 14.762699722381 & 0.255450451246618 \tabularnewline
0.71 & 14.818261948739 & 0.257429470469121 \tabularnewline
0.72 & 14.8746320727390 & 0.258520000855355 \tabularnewline
0.73 & 14.9316307058478 & 0.258345065821377 \tabularnewline
0.74 & 14.9890608086349 & 0.256728030044657 \tabularnewline
0.75 & 15.0467784253968 & 0.253864944993589 \tabularnewline
0.76 & 15.104783087808 & 0.250474492476232 \tabularnewline
0.77 & 15.1633071481193 & 0.247720114939611 \tabularnewline
0.78 & 15.2228749937347 & 0.247198970138387 \tabularnewline
0.79 & 15.2843049849390 & 0.250402548224947 \tabularnewline
0.8 & 15.3486447365343 & 0.258259479313024 \tabularnewline
0.81 & 15.4170644968193 & 0.270686088259276 \tabularnewline
0.82 & 15.490775082009 & 0.286745590127697 \tabularnewline
0.83 & 15.5710661951454 & 0.305342035687034 \tabularnewline
0.84 & 15.6595497228407 & 0.326483739783498 \tabularnewline
0.85 & 15.7586140127086 & 0.352580636909815 \tabularnewline
0.86 & 15.8719425774678 & 0.388969038274827 \tabularnewline
0.87 & 16.0047628407749 & 0.442434034004242 \tabularnewline
0.88 & 16.1633713733006 & 0.516934432847612 \tabularnewline
0.89 & 16.3535887101501 & 0.608413898863059 \tabularnewline
0.9 & 16.5782618712314 & 0.701832030882021 \tabularnewline
0.91 & 16.8347175624728 & 0.773530786829753 \tabularnewline
0.92 & 17.1138373626610 & 0.799331924860867 \tabularnewline
0.93 & 17.4026410701508 & 0.766854121837248 \tabularnewline
0.94 & 17.6916961964943 & 0.687155421650114 \tabularnewline
0.95 & 17.9880099871073 & 0.601058700223128 \tabularnewline
0.96 & 18.3336960639324 & 0.581568383043745 \tabularnewline
0.97 & 18.8235348156138 & 0.732275683791013 \tabularnewline
0.98 & 19.5779051433931 & 1.15292688073733 \tabularnewline
0.99 & 20.5720555354323 & 1.81998445807072 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34950&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]10.0882765978615[/C][C]0.224170382107332[/C][/ROW]
[ROW][C]0.02[/C][C]10.2170327280056[/C][C]0.160844521257867[/C][/ROW]
[ROW][C]0.03[/C][C]10.3313314111421[/C][C]0.156562585056361[/C][/ROW]
[ROW][C]0.04[/C][C]10.4321306813063[/C][C]0.189356760204765[/C][/ROW]
[ROW][C]0.05[/C][C]10.5318984760686[/C][C]0.230158906790813[/C][/ROW]
[ROW][C]0.06[/C][C]10.6364047343698[/C][C]0.264405182660916[/C][/ROW]
[ROW][C]0.07[/C][C]10.7442758687510[/C][C]0.28301057993084[/C][/ROW]
[ROW][C]0.08[/C][C]10.8507542593603[/C][C]0.282384963690117[/C][/ROW]
[ROW][C]0.09[/C][C]10.9508341857990[/C][C]0.265788658746510[/C][/ROW]
[ROW][C]0.1[/C][C]11.0412853464732[/C][C]0.241643455064165[/C][/ROW]
[ROW][C]0.11[/C][C]11.1215270554064[/C][C]0.220096980568415[/C][/ROW]
[ROW][C]0.12[/C][C]11.1934077276516[/C][C]0.209275880893122[/C][/ROW]
[ROW][C]0.13[/C][C]11.2602602894903[/C][C]0.21257139710447[/C][/ROW]
[ROW][C]0.14[/C][C]11.3257695164453[/C][C]0.228350213075882[/C][/ROW]
[ROW][C]0.15[/C][C]11.3930771602356[/C][C]0.252338089276783[/C][/ROW]
[ROW][C]0.16[/C][C]11.4643047600390[/C][C]0.280107958656483[/C][/ROW]
[ROW][C]0.17[/C][C]11.5404601084231[/C][C]0.308048013897656[/C][/ROW]
[ROW][C]0.18[/C][C]11.6215893502709[/C][C]0.333493249088246[/C][/ROW]
[ROW][C]0.19[/C][C]11.7070327207972[/C][C]0.354638774256015[/C][/ROW]
[ROW][C]0.2[/C][C]11.7956885735584[/C][C]0.370318959108043[/C][/ROW]
[ROW][C]0.21[/C][C]11.8862415304869[/C][C]0.380088853368159[/C][/ROW]
[ROW][C]0.22[/C][C]11.9773428625385[/C][C]0.383995921252844[/C][/ROW]
[ROW][C]0.23[/C][C]12.0677428969222[/C][C]0.382673464282704[/C][/ROW]
[ROW][C]0.24[/C][C]12.1563759714312[/C][C]0.377037835057316[/C][/ROW]
[ROW][C]0.25[/C][C]12.2423984760971[/C][C]0.368085812810939[/C][/ROW]
[ROW][C]0.26[/C][C]12.3251847248497[/C][C]0.356752527294062[/C][/ROW]
[ROW][C]0.27[/C][C]12.4042926868724[/C][C]0.343585482608378[/C][/ROW]
[ROW][C]0.28[/C][C]12.4794177375270[/C][C]0.328995524678985[/C][/ROW]
[ROW][C]0.29[/C][C]12.5503537511264[/C][C]0.313143554019425[/C][/ROW]
[ROW][C]0.3[/C][C]12.6169759240136[/C][C]0.296224980226575[/C][/ROW]
[ROW][C]0.31[/C][C]12.6792504784129[/C][C]0.278612012891593[/C][/ROW]
[ROW][C]0.32[/C][C]12.7372662989197[/C][C]0.261006324026705[/C][/ROW]
[ROW][C]0.33[/C][C]12.7912759584449[/C][C]0.244372069140969[/C][/ROW]
[ROW][C]0.34[/C][C]12.8417304980800[/C][C]0.229946137807247[/C][/ROW]
[ROW][C]0.35[/C][C]12.8892939405726[/C][C]0.219057260245923[/C][/ROW]
[ROW][C]0.36[/C][C]12.9348285967989[/C][C]0.212935502065711[/C][/ROW]
[ROW][C]0.37[/C][C]12.9793488397694[/C][C]0.212508751201064[/C][/ROW]
[ROW][C]0.38[/C][C]13.0239473358979[/C][C]0.218080069467209[/C][/ROW]
[ROW][C]0.39[/C][C]13.0697025133944[/C][C]0.229289379280190[/C][/ROW]
[ROW][C]0.4[/C][C]13.1175788459258[/C][C]0.245135189079449[/C][/ROW]
[ROW][C]0.41[/C][C]13.1683324590732[/C][C]0.264192439807034[/C][/ROW]
[ROW][C]0.42[/C][C]13.2224340090284[/C][C]0.284590462712951[/C][/ROW]
[ROW][C]0.43[/C][C]13.2800190669191[/C][C]0.304460344219844[/C][/ROW]
[ROW][C]0.44[/C][C]13.3408734979248[/C][C]0.321920831613796[/C][/ROW]
[ROW][C]0.45[/C][C]13.4044575450822[/C][C]0.335377568642662[/C][/ROW]
[ROW][C]0.46[/C][C]13.4699675847829[/C][C]0.343622787324527[/C][/ROW]
[ROW][C]0.47[/C][C]13.5364291953971[/C][C]0.346015295208027[/C][/ROW]
[ROW][C]0.48[/C][C]13.6028100643538[/C][C]0.342569567567658[/C][/ROW]
[ROW][C]0.49[/C][C]13.6681374415528[/C][C]0.333942301001036[/C][/ROW]
[ROW][C]0.5[/C][C]13.7316034029924[/C][C]0.321292328972199[/C][/ROW]
[ROW][C]0.51[/C][C]13.7926427873927[/C][C]0.306162317019353[/C][/ROW]
[ROW][C]0.52[/C][C]13.8509732681873[/C][C]0.29026463832973[/C][/ROW]
[ROW][C]0.53[/C][C]13.9065937848232[/C][C]0.275157650671557[/C][/ROW]
[ROW][C]0.54[/C][C]13.9597450296109[/C][C]0.26212308745458[/C][/ROW]
[ROW][C]0.55[/C][C]14.0108421986981[/C][C]0.251955390231525[/C][/ROW]
[ROW][C]0.56[/C][C]14.0603943419837[/C][C]0.244876885572986[/C][/ROW]
[ROW][C]0.57[/C][C]14.1089255852998[/C][C]0.240684558676338[/C][/ROW]
[ROW][C]0.58[/C][C]14.1569112543417[/C][C]0.238757995814699[/C][/ROW]
[ROW][C]0.59[/C][C]14.2047372648603[/C][C]0.23841177231707[/C][/ROW]
[ROW][C]0.6[/C][C]14.2526853276536[/C][C]0.238970778271[/C][/ROW]
[ROW][C]0.61[/C][C]14.3009409716131[/C][C]0.239931656757647[/C][/ROW]
[ROW][C]0.62[/C][C]14.3496173196764[/C][C]0.240953670369531[/C][/ROW]
[ROW][C]0.63[/C][C]14.3987856656343[/C][C]0.242002181318881[/C][/ROW]
[ROW][C]0.64[/C][C]14.4485042616858[/C][C]0.243089347702496[/C][/ROW]
[ROW][C]0.65[/C][C]14.4988388195553[/C][C]0.244385518689211[/C][/ROW]
[ROW][C]0.66[/C][C]14.5498711812042[/C][C]0.246025673290266[/C][/ROW]
[ROW][C]0.67[/C][C]14.6016955513301[/C][C]0.248049788594615[/C][/ROW]
[ROW][C]0.68[/C][C]14.6544040532801[/C][C]0.250415109083191[/C][/ROW]
[ROW][C]0.69[/C][C]14.7080651217418[/C][C]0.252973603567736[/C][/ROW]
[ROW][C]0.7[/C][C]14.762699722381[/C][C]0.255450451246618[/C][/ROW]
[ROW][C]0.71[/C][C]14.818261948739[/C][C]0.257429470469121[/C][/ROW]
[ROW][C]0.72[/C][C]14.8746320727390[/C][C]0.258520000855355[/C][/ROW]
[ROW][C]0.73[/C][C]14.9316307058478[/C][C]0.258345065821377[/C][/ROW]
[ROW][C]0.74[/C][C]14.9890608086349[/C][C]0.256728030044657[/C][/ROW]
[ROW][C]0.75[/C][C]15.0467784253968[/C][C]0.253864944993589[/C][/ROW]
[ROW][C]0.76[/C][C]15.104783087808[/C][C]0.250474492476232[/C][/ROW]
[ROW][C]0.77[/C][C]15.1633071481193[/C][C]0.247720114939611[/C][/ROW]
[ROW][C]0.78[/C][C]15.2228749937347[/C][C]0.247198970138387[/C][/ROW]
[ROW][C]0.79[/C][C]15.2843049849390[/C][C]0.250402548224947[/C][/ROW]
[ROW][C]0.8[/C][C]15.3486447365343[/C][C]0.258259479313024[/C][/ROW]
[ROW][C]0.81[/C][C]15.4170644968193[/C][C]0.270686088259276[/C][/ROW]
[ROW][C]0.82[/C][C]15.490775082009[/C][C]0.286745590127697[/C][/ROW]
[ROW][C]0.83[/C][C]15.5710661951454[/C][C]0.305342035687034[/C][/ROW]
[ROW][C]0.84[/C][C]15.6595497228407[/C][C]0.326483739783498[/C][/ROW]
[ROW][C]0.85[/C][C]15.7586140127086[/C][C]0.352580636909815[/C][/ROW]
[ROW][C]0.86[/C][C]15.8719425774678[/C][C]0.388969038274827[/C][/ROW]
[ROW][C]0.87[/C][C]16.0047628407749[/C][C]0.442434034004242[/C][/ROW]
[ROW][C]0.88[/C][C]16.1633713733006[/C][C]0.516934432847612[/C][/ROW]
[ROW][C]0.89[/C][C]16.3535887101501[/C][C]0.608413898863059[/C][/ROW]
[ROW][C]0.9[/C][C]16.5782618712314[/C][C]0.701832030882021[/C][/ROW]
[ROW][C]0.91[/C][C]16.8347175624728[/C][C]0.773530786829753[/C][/ROW]
[ROW][C]0.92[/C][C]17.1138373626610[/C][C]0.799331924860867[/C][/ROW]
[ROW][C]0.93[/C][C]17.4026410701508[/C][C]0.766854121837248[/C][/ROW]
[ROW][C]0.94[/C][C]17.6916961964943[/C][C]0.687155421650114[/C][/ROW]
[ROW][C]0.95[/C][C]17.9880099871073[/C][C]0.601058700223128[/C][/ROW]
[ROW][C]0.96[/C][C]18.3336960639324[/C][C]0.581568383043745[/C][/ROW]
[ROW][C]0.97[/C][C]18.8235348156138[/C][C]0.732275683791013[/C][/ROW]
[ROW][C]0.98[/C][C]19.5779051433931[/C][C]1.15292688073733[/C][/ROW]
[ROW][C]0.99[/C][C]20.5720555354323[/C][C]1.81998445807072[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34950&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34950&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
0.0110.08827659786150.224170382107332
0.0210.21703272800560.160844521257867
0.0310.33133141114210.156562585056361
0.0410.43213068130630.189356760204765
0.0510.53189847606860.230158906790813
0.0610.63640473436980.264405182660916
0.0710.74427586875100.28301057993084
0.0810.85075425936030.282384963690117
0.0910.95083418579900.265788658746510
0.111.04128534647320.241643455064165
0.1111.12152705540640.220096980568415
0.1211.19340772765160.209275880893122
0.1311.26026028949030.21257139710447
0.1411.32576951644530.228350213075882
0.1511.39307716023560.252338089276783
0.1611.46430476003900.280107958656483
0.1711.54046010842310.308048013897656
0.1811.62158935027090.333493249088246
0.1911.70703272079720.354638774256015
0.211.79568857355840.370318959108043
0.2111.88624153048690.380088853368159
0.2211.97734286253850.383995921252844
0.2312.06774289692220.382673464282704
0.2412.15637597143120.377037835057316
0.2512.24239847609710.368085812810939
0.2612.32518472484970.356752527294062
0.2712.40429268687240.343585482608378
0.2812.47941773752700.328995524678985
0.2912.55035375112640.313143554019425
0.312.61697592401360.296224980226575
0.3112.67925047841290.278612012891593
0.3212.73726629891970.261006324026705
0.3312.79127595844490.244372069140969
0.3412.84173049808000.229946137807247
0.3512.88929394057260.219057260245923
0.3612.93482859679890.212935502065711
0.3712.97934883976940.212508751201064
0.3813.02394733589790.218080069467209
0.3913.06970251339440.229289379280190
0.413.11757884592580.245135189079449
0.4113.16833245907320.264192439807034
0.4213.22243400902840.284590462712951
0.4313.28001906691910.304460344219844
0.4413.34087349792480.321920831613796
0.4513.40445754508220.335377568642662
0.4613.46996758478290.343622787324527
0.4713.53642919539710.346015295208027
0.4813.60281006435380.342569567567658
0.4913.66813744155280.333942301001036
0.513.73160340299240.321292328972199
0.5113.79264278739270.306162317019353
0.5213.85097326818730.29026463832973
0.5313.90659378482320.275157650671557
0.5413.95974502961090.26212308745458
0.5514.01084219869810.251955390231525
0.5614.06039434198370.244876885572986
0.5714.10892558529980.240684558676338
0.5814.15691125434170.238757995814699
0.5914.20473726486030.23841177231707
0.614.25268532765360.238970778271
0.6114.30094097161310.239931656757647
0.6214.34961731967640.240953670369531
0.6314.39878566563430.242002181318881
0.6414.44850426168580.243089347702496
0.6514.49883881955530.244385518689211
0.6614.54987118120420.246025673290266
0.6714.60169555133010.248049788594615
0.6814.65440405328010.250415109083191
0.6914.70806512174180.252973603567736
0.714.7626997223810.255450451246618
0.7114.8182619487390.257429470469121
0.7214.87463207273900.258520000855355
0.7314.93163070584780.258345065821377
0.7414.98906080863490.256728030044657
0.7515.04677842539680.253864944993589
0.7615.1047830878080.250474492476232
0.7715.16330714811930.247720114939611
0.7815.22287499373470.247198970138387
0.7915.28430498493900.250402548224947
0.815.34864473653430.258259479313024
0.8115.41706449681930.270686088259276
0.8215.4907750820090.286745590127697
0.8315.57106619514540.305342035687034
0.8415.65954972284070.326483739783498
0.8515.75861401270860.352580636909815
0.8615.87194257746780.388969038274827
0.8716.00476284077490.442434034004242
0.8816.16337137330060.516934432847612
0.8916.35358871015010.608413898863059
0.916.57826187123140.701832030882021
0.9116.83471756247280.773530786829753
0.9217.11383736266100.799331924860867
0.9317.40264107015080.766854121837248
0.9417.69169619649430.687155421650114
0.9517.98800998710730.601058700223128
0.9618.33369606393240.581568383043745
0.9718.82353481561380.732275683791013
0.9819.57790514339311.15292688073733
0.9920.57205553543231.81998445807072


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')