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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 computationTue, 18 Oct 2011 11:19:00 -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/2011/Oct/18/t1318951515qbmxpkix9h7zvxu.htm/, Retrieved Thu, 16 May 2024 12:14:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=132205, Retrieved Thu, 16 May 2024 12:14:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact53

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] [percentielen prij...] [2011-10-18 15:19:00] [aa823a344a22650d2ad0f207182fbcde] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30.37
30.41
30.46
30.7
30.85
30.93
31
31.16
31.14
31.15
31.2
31.22
31.25
31.39
31.49
31.71
31.73
31.96
32.05
32.12
32.28
32.42
32.48
32.89
33.7
34.59
35.1
35.87
37.15
37.61
37.97
38.94
39.18
39.49
39.86
40.02
40.2
40.85
41.45
41.7
41.92
41.97
42.31
42.61
42.82
43.07
43.51
43.57
43.86
44.49
45.99
48.22
49.46
50.39
50.4
50.59
51.32
51.86
52.47
52.73
52.73
53.59
54.11
54.8
55.72
56.06
56.66
57.05
57.31
57.89
58.32
58.72
59.02
59.54
61.49
62.26
63.49
64.36
65.93
66.82
68.85
71.27
72.27
73.4

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=132205&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=132205&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132205&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
0.0130.39756006143210.0667224199708533
0.0230.45639563968250.127363794414757
0.0330.54115477463220.183762392613287
0.0430.64094969113460.212367798948143
0.0530.74323917346370.213591165098582
0.0630.83845983969090.1992893973275
0.0730.9220589028760.18037260860276
0.0830.993632731810.162941028525025
0.0931.05515643887070.150391179647098
0.131.10968420410280.145794511242621
0.1131.16068535808240.151862857900382
0.1231.21167587810560.169681826457305
0.1331.26589736468210.197933245136632
0.1431.32602302621540.233805909177894
0.1531.39398604612180.274433964630861
0.1631.47101301115370.317775178977874
0.1731.55787310357930.363416721229876
0.1831.65528270408920.413055134365401
0.1931.76436184583090.470470158427763
0.231.88702719808870.541044964144495
0.2132.02622034497740.630637870620911
0.2232.18590298019170.744117167497182
0.2332.37079551609810.884118336779008
0.2432.58588535598981.05003028719366
0.2532.83577743013311.23749399562642
0.2633.12399368041461.43917717342396
0.2733.45234241364351.6449913548404
0.2833.82046897620481.8432765721951
0.2934.22566763201742.02241339563005
0.334.66298788550422.1721315958907
0.3135.12561730820672.28451041209909
0.3235.60547812897492.35494978264062
0.3336.09394479231812.38239773916159
0.3436.58257840890392.36940512902937
0.3537.06378107232922.32146290919112
0.3637.53129460122562.24595585637791
0.3737.98049887668852.15163384599788
0.3838.40849879811812.04710013794953
0.3938.81402079473981.94010572140098
0.439.19716559274041.83679369601653
0.4139.55908043954791.74158552037413
0.4239.90161938381241.65680638324454
0.4340.22705417916611.58357039638918
0.4440.53788231469761.52200595555044
0.4540.83675558560781.47229717007455
0.4641.12652660623191.43549847962753
0.4741.41038607016791.41362588215717
0.4841.69204406021771.4104830894432
0.4941.97589677860661.43076911000066
0.542.26711695698491.47981344044234
0.5142.57161236145741.56211421775014
0.5242.89581232922061.68041742565671
0.5343.24626694887451.83418398322576
0.5443.62907617973492.01912962773285
0.5544.04920374743182.226686887173
0.5644.50976706058722.4444019381034
0.5745.01142104468182.65726192455566
0.5845.55196122648662.8487173558527
0.5946.12625248953353.00324020838914
0.646.72654331060093.10797211413682
0.6147.34315763038883.15496866105883
0.6247.96548203615663.14221626188203
0.6348.58310296350173.07405470703475
0.6449.18691397231752.96058815276658
0.6549.77001645801782.81590487747739
0.6650.32827751107692.6563189603328
0.6750.86047498965062.49767429506812
0.6851.36803512705082.35353084117298
0.6951.85443497651962.23328727151303
0.752.32438865560482.14146058173902
0.7152.7829581506932.07711954873109
0.7253.23472829743472.03532762976334
0.7353.68316662197582.00808537062237
0.7454.13025723302931.98638359142091
0.7554.57645788246551.96176238870981
0.7655.02098426536381.92834164419591
0.7755.46238039299171.88352956083936
0.7855.89929456168611.82859232544743
0.7956.33135218222541.76894731725154
0.856.76000019341441.71337638846994
0.8157.18918811543811.67301997461993
0.8257.62574245645291.65999236711772
0.8358.07928818681841.68514214378658
0.8458.56159572841281.75484721432489
0.8559.08532098021991.86814414238005
0.8659.66228544201732.01470443506448
0.8760.30169178068472.176249002087
0.8861.00889447224852.33084972825628
0.8961.78540159083592.45920337937122
0.962.63053691384312.55123914038008
0.9163.54456275412962.61009310353195
0.9264.53203381621152.65136650020423
0.9365.60283107403462.69473063764282
0.9466.76737693587782.74448919275546
0.9568.02390395089592.76222520471563
0.9669.34191893743692.65459205249747
0.9770.65456174177892.31995431185778
0.9871.8661193445151.77209319615863
0.9972.845957252481.2709288341061

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30.3975600614321 & 0.0667224199708533 \tabularnewline
0.02 & 30.4563956396825 & 0.127363794414757 \tabularnewline
0.03 & 30.5411547746322 & 0.183762392613287 \tabularnewline
0.04 & 30.6409496911346 & 0.212367798948143 \tabularnewline
0.05 & 30.7432391734637 & 0.213591165098582 \tabularnewline
0.06 & 30.8384598396909 & 0.1992893973275 \tabularnewline
0.07 & 30.922058902876 & 0.18037260860276 \tabularnewline
0.08 & 30.99363273181 & 0.162941028525025 \tabularnewline
0.09 & 31.0551564388707 & 0.150391179647098 \tabularnewline
0.1 & 31.1096842041028 & 0.145794511242621 \tabularnewline
0.11 & 31.1606853580824 & 0.151862857900382 \tabularnewline
0.12 & 31.2116758781056 & 0.169681826457305 \tabularnewline
0.13 & 31.2658973646821 & 0.197933245136632 \tabularnewline
0.14 & 31.3260230262154 & 0.233805909177894 \tabularnewline
0.15 & 31.3939860461218 & 0.274433964630861 \tabularnewline
0.16 & 31.4710130111537 & 0.317775178977874 \tabularnewline
0.17 & 31.5578731035793 & 0.363416721229876 \tabularnewline
0.18 & 31.6552827040892 & 0.413055134365401 \tabularnewline
0.19 & 31.7643618458309 & 0.470470158427763 \tabularnewline
0.2 & 31.8870271980887 & 0.541044964144495 \tabularnewline
0.21 & 32.0262203449774 & 0.630637870620911 \tabularnewline
0.22 & 32.1859029801917 & 0.744117167497182 \tabularnewline
0.23 & 32.3707955160981 & 0.884118336779008 \tabularnewline
0.24 & 32.5858853559898 & 1.05003028719366 \tabularnewline
0.25 & 32.8357774301331 & 1.23749399562642 \tabularnewline
0.26 & 33.1239936804146 & 1.43917717342396 \tabularnewline
0.27 & 33.4523424136435 & 1.6449913548404 \tabularnewline
0.28 & 33.8204689762048 & 1.8432765721951 \tabularnewline
0.29 & 34.2256676320174 & 2.02241339563005 \tabularnewline
0.3 & 34.6629878855042 & 2.1721315958907 \tabularnewline
0.31 & 35.1256173082067 & 2.28451041209909 \tabularnewline
0.32 & 35.6054781289749 & 2.35494978264062 \tabularnewline
0.33 & 36.0939447923181 & 2.38239773916159 \tabularnewline
0.34 & 36.5825784089039 & 2.36940512902937 \tabularnewline
0.35 & 37.0637810723292 & 2.32146290919112 \tabularnewline
0.36 & 37.5312946012256 & 2.24595585637791 \tabularnewline
0.37 & 37.9804988766885 & 2.15163384599788 \tabularnewline
0.38 & 38.4084987981181 & 2.04710013794953 \tabularnewline
0.39 & 38.8140207947398 & 1.94010572140098 \tabularnewline
0.4 & 39.1971655927404 & 1.83679369601653 \tabularnewline
0.41 & 39.5590804395479 & 1.74158552037413 \tabularnewline
0.42 & 39.9016193838124 & 1.65680638324454 \tabularnewline
0.43 & 40.2270541791661 & 1.58357039638918 \tabularnewline
0.44 & 40.5378823146976 & 1.52200595555044 \tabularnewline
0.45 & 40.8367555856078 & 1.47229717007455 \tabularnewline
0.46 & 41.1265266062319 & 1.43549847962753 \tabularnewline
0.47 & 41.4103860701679 & 1.41362588215717 \tabularnewline
0.48 & 41.6920440602177 & 1.4104830894432 \tabularnewline
0.49 & 41.9758967786066 & 1.43076911000066 \tabularnewline
0.5 & 42.2671169569849 & 1.47981344044234 \tabularnewline
0.51 & 42.5716123614574 & 1.56211421775014 \tabularnewline
0.52 & 42.8958123292206 & 1.68041742565671 \tabularnewline
0.53 & 43.2462669488745 & 1.83418398322576 \tabularnewline
0.54 & 43.6290761797349 & 2.01912962773285 \tabularnewline
0.55 & 44.0492037474318 & 2.226686887173 \tabularnewline
0.56 & 44.5097670605872 & 2.4444019381034 \tabularnewline
0.57 & 45.0114210446818 & 2.65726192455566 \tabularnewline
0.58 & 45.5519612264866 & 2.8487173558527 \tabularnewline
0.59 & 46.1262524895335 & 3.00324020838914 \tabularnewline
0.6 & 46.7265433106009 & 3.10797211413682 \tabularnewline
0.61 & 47.3431576303888 & 3.15496866105883 \tabularnewline
0.62 & 47.9654820361566 & 3.14221626188203 \tabularnewline
0.63 & 48.5831029635017 & 3.07405470703475 \tabularnewline
0.64 & 49.1869139723175 & 2.96058815276658 \tabularnewline
0.65 & 49.7700164580178 & 2.81590487747739 \tabularnewline
0.66 & 50.3282775110769 & 2.6563189603328 \tabularnewline
0.67 & 50.8604749896506 & 2.49767429506812 \tabularnewline
0.68 & 51.3680351270508 & 2.35353084117298 \tabularnewline
0.69 & 51.8544349765196 & 2.23328727151303 \tabularnewline
0.7 & 52.3243886556048 & 2.14146058173902 \tabularnewline
0.71 & 52.782958150693 & 2.07711954873109 \tabularnewline
0.72 & 53.2347282974347 & 2.03532762976334 \tabularnewline
0.73 & 53.6831666219758 & 2.00808537062237 \tabularnewline
0.74 & 54.1302572330293 & 1.98638359142091 \tabularnewline
0.75 & 54.5764578824655 & 1.96176238870981 \tabularnewline
0.76 & 55.0209842653638 & 1.92834164419591 \tabularnewline
0.77 & 55.4623803929917 & 1.88352956083936 \tabularnewline
0.78 & 55.8992945616861 & 1.82859232544743 \tabularnewline
0.79 & 56.3313521822254 & 1.76894731725154 \tabularnewline
0.8 & 56.7600001934144 & 1.71337638846994 \tabularnewline
0.81 & 57.1891881154381 & 1.67301997461993 \tabularnewline
0.82 & 57.6257424564529 & 1.65999236711772 \tabularnewline
0.83 & 58.0792881868184 & 1.68514214378658 \tabularnewline
0.84 & 58.5615957284128 & 1.75484721432489 \tabularnewline
0.85 & 59.0853209802199 & 1.86814414238005 \tabularnewline
0.86 & 59.6622854420173 & 2.01470443506448 \tabularnewline
0.87 & 60.3016917806847 & 2.176249002087 \tabularnewline
0.88 & 61.0088944722485 & 2.33084972825628 \tabularnewline
0.89 & 61.7854015908359 & 2.45920337937122 \tabularnewline
0.9 & 62.6305369138431 & 2.55123914038008 \tabularnewline
0.91 & 63.5445627541296 & 2.61009310353195 \tabularnewline
0.92 & 64.5320338162115 & 2.65136650020423 \tabularnewline
0.93 & 65.6028310740346 & 2.69473063764282 \tabularnewline
0.94 & 66.7673769358778 & 2.74448919275546 \tabularnewline
0.95 & 68.0239039508959 & 2.76222520471563 \tabularnewline
0.96 & 69.3419189374369 & 2.65459205249747 \tabularnewline
0.97 & 70.6545617417789 & 2.31995431185778 \tabularnewline
0.98 & 71.866119344515 & 1.77209319615863 \tabularnewline
0.99 & 72.84595725248 & 1.2709288341061 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=132205&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]30.3975600614321[/C][C]0.0667224199708533[/C][/ROW]
[ROW][C]0.02[/C][C]30.4563956396825[/C][C]0.127363794414757[/C][/ROW]
[ROW][C]0.03[/C][C]30.5411547746322[/C][C]0.183762392613287[/C][/ROW]
[ROW][C]0.04[/C][C]30.6409496911346[/C][C]0.212367798948143[/C][/ROW]
[ROW][C]0.05[/C][C]30.7432391734637[/C][C]0.213591165098582[/C][/ROW]
[ROW][C]0.06[/C][C]30.8384598396909[/C][C]0.1992893973275[/C][/ROW]
[ROW][C]0.07[/C][C]30.922058902876[/C][C]0.18037260860276[/C][/ROW]
[ROW][C]0.08[/C][C]30.99363273181[/C][C]0.162941028525025[/C][/ROW]
[ROW][C]0.09[/C][C]31.0551564388707[/C][C]0.150391179647098[/C][/ROW]
[ROW][C]0.1[/C][C]31.1096842041028[/C][C]0.145794511242621[/C][/ROW]
[ROW][C]0.11[/C][C]31.1606853580824[/C][C]0.151862857900382[/C][/ROW]
[ROW][C]0.12[/C][C]31.2116758781056[/C][C]0.169681826457305[/C][/ROW]
[ROW][C]0.13[/C][C]31.2658973646821[/C][C]0.197933245136632[/C][/ROW]
[ROW][C]0.14[/C][C]31.3260230262154[/C][C]0.233805909177894[/C][/ROW]
[ROW][C]0.15[/C][C]31.3939860461218[/C][C]0.274433964630861[/C][/ROW]
[ROW][C]0.16[/C][C]31.4710130111537[/C][C]0.317775178977874[/C][/ROW]
[ROW][C]0.17[/C][C]31.5578731035793[/C][C]0.363416721229876[/C][/ROW]
[ROW][C]0.18[/C][C]31.6552827040892[/C][C]0.413055134365401[/C][/ROW]
[ROW][C]0.19[/C][C]31.7643618458309[/C][C]0.470470158427763[/C][/ROW]
[ROW][C]0.2[/C][C]31.8870271980887[/C][C]0.541044964144495[/C][/ROW]
[ROW][C]0.21[/C][C]32.0262203449774[/C][C]0.630637870620911[/C][/ROW]
[ROW][C]0.22[/C][C]32.1859029801917[/C][C]0.744117167497182[/C][/ROW]
[ROW][C]0.23[/C][C]32.3707955160981[/C][C]0.884118336779008[/C][/ROW]
[ROW][C]0.24[/C][C]32.5858853559898[/C][C]1.05003028719366[/C][/ROW]
[ROW][C]0.25[/C][C]32.8357774301331[/C][C]1.23749399562642[/C][/ROW]
[ROW][C]0.26[/C][C]33.1239936804146[/C][C]1.43917717342396[/C][/ROW]
[ROW][C]0.27[/C][C]33.4523424136435[/C][C]1.6449913548404[/C][/ROW]
[ROW][C]0.28[/C][C]33.8204689762048[/C][C]1.8432765721951[/C][/ROW]
[ROW][C]0.29[/C][C]34.2256676320174[/C][C]2.02241339563005[/C][/ROW]
[ROW][C]0.3[/C][C]34.6629878855042[/C][C]2.1721315958907[/C][/ROW]
[ROW][C]0.31[/C][C]35.1256173082067[/C][C]2.28451041209909[/C][/ROW]
[ROW][C]0.32[/C][C]35.6054781289749[/C][C]2.35494978264062[/C][/ROW]
[ROW][C]0.33[/C][C]36.0939447923181[/C][C]2.38239773916159[/C][/ROW]
[ROW][C]0.34[/C][C]36.5825784089039[/C][C]2.36940512902937[/C][/ROW]
[ROW][C]0.35[/C][C]37.0637810723292[/C][C]2.32146290919112[/C][/ROW]
[ROW][C]0.36[/C][C]37.5312946012256[/C][C]2.24595585637791[/C][/ROW]
[ROW][C]0.37[/C][C]37.9804988766885[/C][C]2.15163384599788[/C][/ROW]
[ROW][C]0.38[/C][C]38.4084987981181[/C][C]2.04710013794953[/C][/ROW]
[ROW][C]0.39[/C][C]38.8140207947398[/C][C]1.94010572140098[/C][/ROW]
[ROW][C]0.4[/C][C]39.1971655927404[/C][C]1.83679369601653[/C][/ROW]
[ROW][C]0.41[/C][C]39.5590804395479[/C][C]1.74158552037413[/C][/ROW]
[ROW][C]0.42[/C][C]39.9016193838124[/C][C]1.65680638324454[/C][/ROW]
[ROW][C]0.43[/C][C]40.2270541791661[/C][C]1.58357039638918[/C][/ROW]
[ROW][C]0.44[/C][C]40.5378823146976[/C][C]1.52200595555044[/C][/ROW]
[ROW][C]0.45[/C][C]40.8367555856078[/C][C]1.47229717007455[/C][/ROW]
[ROW][C]0.46[/C][C]41.1265266062319[/C][C]1.43549847962753[/C][/ROW]
[ROW][C]0.47[/C][C]41.4103860701679[/C][C]1.41362588215717[/C][/ROW]
[ROW][C]0.48[/C][C]41.6920440602177[/C][C]1.4104830894432[/C][/ROW]
[ROW][C]0.49[/C][C]41.9758967786066[/C][C]1.43076911000066[/C][/ROW]
[ROW][C]0.5[/C][C]42.2671169569849[/C][C]1.47981344044234[/C][/ROW]
[ROW][C]0.51[/C][C]42.5716123614574[/C][C]1.56211421775014[/C][/ROW]
[ROW][C]0.52[/C][C]42.8958123292206[/C][C]1.68041742565671[/C][/ROW]
[ROW][C]0.53[/C][C]43.2462669488745[/C][C]1.83418398322576[/C][/ROW]
[ROW][C]0.54[/C][C]43.6290761797349[/C][C]2.01912962773285[/C][/ROW]
[ROW][C]0.55[/C][C]44.0492037474318[/C][C]2.226686887173[/C][/ROW]
[ROW][C]0.56[/C][C]44.5097670605872[/C][C]2.4444019381034[/C][/ROW]
[ROW][C]0.57[/C][C]45.0114210446818[/C][C]2.65726192455566[/C][/ROW]
[ROW][C]0.58[/C][C]45.5519612264866[/C][C]2.8487173558527[/C][/ROW]
[ROW][C]0.59[/C][C]46.1262524895335[/C][C]3.00324020838914[/C][/ROW]
[ROW][C]0.6[/C][C]46.7265433106009[/C][C]3.10797211413682[/C][/ROW]
[ROW][C]0.61[/C][C]47.3431576303888[/C][C]3.15496866105883[/C][/ROW]
[ROW][C]0.62[/C][C]47.9654820361566[/C][C]3.14221626188203[/C][/ROW]
[ROW][C]0.63[/C][C]48.5831029635017[/C][C]3.07405470703475[/C][/ROW]
[ROW][C]0.64[/C][C]49.1869139723175[/C][C]2.96058815276658[/C][/ROW]
[ROW][C]0.65[/C][C]49.7700164580178[/C][C]2.81590487747739[/C][/ROW]
[ROW][C]0.66[/C][C]50.3282775110769[/C][C]2.6563189603328[/C][/ROW]
[ROW][C]0.67[/C][C]50.8604749896506[/C][C]2.49767429506812[/C][/ROW]
[ROW][C]0.68[/C][C]51.3680351270508[/C][C]2.35353084117298[/C][/ROW]
[ROW][C]0.69[/C][C]51.8544349765196[/C][C]2.23328727151303[/C][/ROW]
[ROW][C]0.7[/C][C]52.3243886556048[/C][C]2.14146058173902[/C][/ROW]
[ROW][C]0.71[/C][C]52.782958150693[/C][C]2.07711954873109[/C][/ROW]
[ROW][C]0.72[/C][C]53.2347282974347[/C][C]2.03532762976334[/C][/ROW]
[ROW][C]0.73[/C][C]53.6831666219758[/C][C]2.00808537062237[/C][/ROW]
[ROW][C]0.74[/C][C]54.1302572330293[/C][C]1.98638359142091[/C][/ROW]
[ROW][C]0.75[/C][C]54.5764578824655[/C][C]1.96176238870981[/C][/ROW]
[ROW][C]0.76[/C][C]55.0209842653638[/C][C]1.92834164419591[/C][/ROW]
[ROW][C]0.77[/C][C]55.4623803929917[/C][C]1.88352956083936[/C][/ROW]
[ROW][C]0.78[/C][C]55.8992945616861[/C][C]1.82859232544743[/C][/ROW]
[ROW][C]0.79[/C][C]56.3313521822254[/C][C]1.76894731725154[/C][/ROW]
[ROW][C]0.8[/C][C]56.7600001934144[/C][C]1.71337638846994[/C][/ROW]
[ROW][C]0.81[/C][C]57.1891881154381[/C][C]1.67301997461993[/C][/ROW]
[ROW][C]0.82[/C][C]57.6257424564529[/C][C]1.65999236711772[/C][/ROW]
[ROW][C]0.83[/C][C]58.0792881868184[/C][C]1.68514214378658[/C][/ROW]
[ROW][C]0.84[/C][C]58.5615957284128[/C][C]1.75484721432489[/C][/ROW]
[ROW][C]0.85[/C][C]59.0853209802199[/C][C]1.86814414238005[/C][/ROW]
[ROW][C]0.86[/C][C]59.6622854420173[/C][C]2.01470443506448[/C][/ROW]
[ROW][C]0.87[/C][C]60.3016917806847[/C][C]2.176249002087[/C][/ROW]
[ROW][C]0.88[/C][C]61.0088944722485[/C][C]2.33084972825628[/C][/ROW]
[ROW][C]0.89[/C][C]61.7854015908359[/C][C]2.45920337937122[/C][/ROW]
[ROW][C]0.9[/C][C]62.6305369138431[/C][C]2.55123914038008[/C][/ROW]
[ROW][C]0.91[/C][C]63.5445627541296[/C][C]2.61009310353195[/C][/ROW]
[ROW][C]0.92[/C][C]64.5320338162115[/C][C]2.65136650020423[/C][/ROW]
[ROW][C]0.93[/C][C]65.6028310740346[/C][C]2.69473063764282[/C][/ROW]
[ROW][C]0.94[/C][C]66.7673769358778[/C][C]2.74448919275546[/C][/ROW]
[ROW][C]0.95[/C][C]68.0239039508959[/C][C]2.76222520471563[/C][/ROW]
[ROW][C]0.96[/C][C]69.3419189374369[/C][C]2.65459205249747[/C][/ROW]
[ROW][C]0.97[/C][C]70.6545617417789[/C][C]2.31995431185778[/C][/ROW]
[ROW][C]0.98[/C][C]71.866119344515[/C][C]1.77209319615863[/C][/ROW]
[ROW][C]0.99[/C][C]72.84595725248[/C][C]1.2709288341061[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=132205&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=132205&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
0.0130.39756006143210.0667224199708533
0.0230.45639563968250.127363794414757
0.0330.54115477463220.183762392613287
0.0430.64094969113460.212367798948143
0.0530.74323917346370.213591165098582
0.0630.83845983969090.1992893973275
0.0730.9220589028760.18037260860276
0.0830.993632731810.162941028525025
0.0931.05515643887070.150391179647098
0.131.10968420410280.145794511242621
0.1131.16068535808240.151862857900382
0.1231.21167587810560.169681826457305
0.1331.26589736468210.197933245136632
0.1431.32602302621540.233805909177894
0.1531.39398604612180.274433964630861
0.1631.47101301115370.317775178977874
0.1731.55787310357930.363416721229876
0.1831.65528270408920.413055134365401
0.1931.76436184583090.470470158427763
0.231.88702719808870.541044964144495
0.2132.02622034497740.630637870620911
0.2232.18590298019170.744117167497182
0.2332.37079551609810.884118336779008
0.2432.58588535598981.05003028719366
0.2532.83577743013311.23749399562642
0.2633.12399368041461.43917717342396
0.2733.45234241364351.6449913548404
0.2833.82046897620481.8432765721951
0.2934.22566763201742.02241339563005
0.334.66298788550422.1721315958907
0.3135.12561730820672.28451041209909
0.3235.60547812897492.35494978264062
0.3336.09394479231812.38239773916159
0.3436.58257840890392.36940512902937
0.3537.06378107232922.32146290919112
0.3637.53129460122562.24595585637791
0.3737.98049887668852.15163384599788
0.3838.40849879811812.04710013794953
0.3938.81402079473981.94010572140098
0.439.19716559274041.83679369601653
0.4139.55908043954791.74158552037413
0.4239.90161938381241.65680638324454
0.4340.22705417916611.58357039638918
0.4440.53788231469761.52200595555044
0.4540.83675558560781.47229717007455
0.4641.12652660623191.43549847962753
0.4741.41038607016791.41362588215717
0.4841.69204406021771.4104830894432
0.4941.97589677860661.43076911000066
0.542.26711695698491.47981344044234
0.5142.57161236145741.56211421775014
0.5242.89581232922061.68041742565671
0.5343.24626694887451.83418398322576
0.5443.62907617973492.01912962773285
0.5544.04920374743182.226686887173
0.5644.50976706058722.4444019381034
0.5745.01142104468182.65726192455566
0.5845.55196122648662.8487173558527
0.5946.12625248953353.00324020838914
0.646.72654331060093.10797211413682
0.6147.34315763038883.15496866105883
0.6247.96548203615663.14221626188203
0.6348.58310296350173.07405470703475
0.6449.18691397231752.96058815276658
0.6549.77001645801782.81590487747739
0.6650.32827751107692.6563189603328
0.6750.86047498965062.49767429506812
0.6851.36803512705082.35353084117298
0.6951.85443497651962.23328727151303
0.752.32438865560482.14146058173902
0.7152.7829581506932.07711954873109
0.7253.23472829743472.03532762976334
0.7353.68316662197582.00808537062237
0.7454.13025723302931.98638359142091
0.7554.57645788246551.96176238870981
0.7655.02098426536381.92834164419591
0.7755.46238039299171.88352956083936
0.7855.89929456168611.82859232544743
0.7956.33135218222541.76894731725154
0.856.76000019341441.71337638846994
0.8157.18918811543811.67301997461993
0.8257.62574245645291.65999236711772
0.8358.07928818681841.68514214378658
0.8458.56159572841281.75484721432489
0.8559.08532098021991.86814414238005
0.8659.66228544201732.01470443506448
0.8760.30169178068472.176249002087
0.8861.00889447224852.33084972825628
0.8961.78540159083592.45920337937122
0.962.63053691384312.55123914038008
0.9163.54456275412962.61009310353195
0.9264.53203381621152.65136650020423
0.9365.60283107403462.69473063764282
0.9466.76737693587782.74448919275546
0.9568.02390395089592.76222520471563
0.9669.34191893743692.65459205249747
0.9770.65456174177892.31995431185778
0.9871.8661193445151.77209319615863
0.9972.845957252481.2709288341061


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')