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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, 23 Oct 2008 12:19:23 -0600
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/Oct/23/t12247860180y2ok22f5z82mic.htm/, Retrieved Sun, 19 May 2024 04:11:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18563, Retrieved Sun, 19 May 2024 04:11:06 +0000
QR Codes:

Original text written by user:Omzet consumptiegoederen/inflatie
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact199

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Q9 - Distributions ] [2008-10-23 18:19:23] [55ca0ca4a201c9689dcf5fae352c92eb] [Current]
Feedback Forum
2008-11-02 22:10:01 [Bernard Femont] [reply] 
In de tabel “standard error” vertonen de getallen kleinere stappen vanaf 0,52 tot en met 0,69. De andere zijn best allemaal grote stappen. Dit zijn dan de extremen en deze moeten we eruit halen.
Dit wil zeggen dat we slechts een betrouwbaarheidsinterval hebben van 17%.
Als het getal onder 58.4420272194292 (tabel: eerste kolom, cijfer bij 0,52) of boven 66.0247332144632 (tabel: eerste kolom, cijfer bij 0,69) ligt is er geen sprake meer van toeval.
Als we deze maximum- en minimuminterval (58.4420272194292 en 66.0247332144632) vervolgens verminderen met het gemiddelde van onze zelfgemaakte tekenreeks (59,37) dan bekomen we respectievelijk -0,93 en 6,65.
De schattingsfout is 2.91414067437663 (tabel: tweede kolom, cijfer bij 0,52) als het getal eronder ligt en 2.99955511102396 (tabel: tweede kolom, cijfer bij 0,69) als het erboven ligt.
De kans dat er een “error” gemaakt wordt ligt dus niet tussen het interval (58.4420272194292 en 66.0247332144632)= een goede interpretatie en synthese van het probleem!

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82.06
56.72
61.32
68.26
93.80
63.59
63.14
52.58
63.93
73.72
55.60
64.66
60.09
77.40
105.54
52.57
37.44
51.00
38.51
43.89
58.47
38.50
43.24
49.74
45.21
38.67
37.82
37.60
40.56
39.63
28.56
31.99
38.89
43.97
44.50
38.24
39.57
43.55
71.96
51.60
52.95
64.24
59.98
64.42
102.20
102.39
82.96
69.98
65.51
59.94
67.68
59.64
89.98
93.49
79.91
102.18
80.42
57.80
42.29
36.44

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18563&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18563&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0129.52172530817373.41247698051064
0.0231.02027441057123.42065630845394
0.0332.65418589999283.22274029339021
0.0434.13245937783232.77190512272931
0.0535.32643555415532.19036812878651
0.0636.22324381773691.63167859622188
0.0736.86845786218461.19050684118326
0.0837.32604393895370.892629182463635
0.0937.65646486446300.719909226151969
0.137.90772780823610.638138640566654
0.1138.11422580141240.616955554630549
0.1238.29929068193460.638654115297018
0.1338.47867518381190.695849125279778
0.1438.66347488196380.785657869074608
0.1538.86199921033860.905261928559476
0.1639.08068234103381.04990311265162
0.1739.32435555224161.21288243251611
0.1839.59622082548581.38598889449130
0.1939.89778887947891.56051241408467
0.240.22894398139191.72852542692955
0.2140.58820414191201.88379108190276
0.2240.97316893912832.02334479050337
0.2341.38109074179412.14765618118252
0.2441.80947005331122.26099208708907
0.2542.25656403608362.37066519692294
0.2642.72170984708922.48532322196562
0.2743.20539877831662.613085088932
0.2843.70908649618832.75920258104883
0.2944.23477831038482.92473400420999
0.344.78447429772313.10575473108757
0.3145.35958675388333.29420608113594
0.3245.96044566075353.47947770442037
0.3346.58598635583313.65007055519698
0.3447.23367294893573.79579505481602
0.3547.89966111149533.90896339571063
0.3648.5791562097553.98551973901061
0.3749.26688771605314.02542312337739
0.3849.95760517613024.03181723698997
0.3950.64650657071104.01048508991538
0.451.32953355665323.96835200825236
0.4152.00350287307423.91209245761444
0.4252.66608037885833.84719876709803
0.4353.31563534780263.77696018399659
0.4453.9510316449923.70272854739672
0.4554.5714165148683.62416978455107
0.4655.17605784165763.53987467303507
0.4755.76426081896863.44871730125394
0.4856.33537068582733.35010052822295
0.4956.88884555604053.24473474831285
0.557.4243673520683.13479012560007
0.5157.941952429883.02332085912479
0.5258.44202721942922.91414067437663
0.5358.92544639820052.8110189839433
0.5459.39344833835592.71702270497500
0.5559.84756052239722.63396911358895
0.5660.28948207377312.56228640302442
0.5760.7209781926352.50123752611826
0.5861.14382039475382.44944798252972
0.5961.55979719573222.40556758012841
0.661.97080427926522.36917180700270
0.6162.37900466199252.34156137265792
0.6262.78703200761172.32572428551635
0.6363.19819789024072.32656296825993
0.6463.61665916565542.35046506428403
0.6564.04750559575022.40398587337671
0.6664.49673938667952.49314862147221
0.6764.9711345221992.62172553301738
0.6865.47798094703692.79114665000303
0.6966.02473321446322.99955511102396
0.766.61859292441663.24265539762931
0.7167.26605904086323.5136288191807
0.7267.97248210925343.803649009534
0.7368.74166100405454.10241882410155
0.7469.57552729109214.39836179313409
0.7570.47397319354074.67921555629575
0.7671.43489058134814.93302778777842
0.7772.45449126012925.14942216141793
0.7873.52796054165045.32134462392556
0.7974.65044523481085.44725058031705
0.875.81829068615.53259350478576
0.8177.03033188952785.59132079489087
0.8278.28894293225475.64419072715667
0.8379.60050347067755.71545480424291
0.8480.97499393073795.82632433397923
0.8582.42459549673045.98661755790593
0.8683.96140274762736.18915333934242
0.8785.59455302940326.409102778556
0.8887.327121255726.60954470005825
0.8989.15299201871066.74974383158343
0.991.05376946668616.79020382924704
0.9192.99600059731216.69153778895754
0.9294.92995844114276.40994865286664
0.9396.79285737039235.90050084655927
0.9498.52040506761655.14031982406116
0.95100.0682884620594.17242971119701
0.96101.4362859703693.15219973979433
0.97102.6725719017652.37995258142727
0.98103.8270708837412.22054765134349
0.99104.8518658095662.62900952409085

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 29.5217253081737 & 3.41247698051064 \tabularnewline
0.02 & 31.0202744105712 & 3.42065630845394 \tabularnewline
0.03 & 32.6541858999928 & 3.22274029339021 \tabularnewline
0.04 & 34.1324593778323 & 2.77190512272931 \tabularnewline
0.05 & 35.3264355541553 & 2.19036812878651 \tabularnewline
0.06 & 36.2232438177369 & 1.63167859622188 \tabularnewline
0.07 & 36.8684578621846 & 1.19050684118326 \tabularnewline
0.08 & 37.3260439389537 & 0.892629182463635 \tabularnewline
0.09 & 37.6564648644630 & 0.719909226151969 \tabularnewline
0.1 & 37.9077278082361 & 0.638138640566654 \tabularnewline
0.11 & 38.1142258014124 & 0.616955554630549 \tabularnewline
0.12 & 38.2992906819346 & 0.638654115297018 \tabularnewline
0.13 & 38.4786751838119 & 0.695849125279778 \tabularnewline
0.14 & 38.6634748819638 & 0.785657869074608 \tabularnewline
0.15 & 38.8619992103386 & 0.905261928559476 \tabularnewline
0.16 & 39.0806823410338 & 1.04990311265162 \tabularnewline
0.17 & 39.3243555522416 & 1.21288243251611 \tabularnewline
0.18 & 39.5962208254858 & 1.38598889449130 \tabularnewline
0.19 & 39.8977888794789 & 1.56051241408467 \tabularnewline
0.2 & 40.2289439813919 & 1.72852542692955 \tabularnewline
0.21 & 40.5882041419120 & 1.88379108190276 \tabularnewline
0.22 & 40.9731689391283 & 2.02334479050337 \tabularnewline
0.23 & 41.3810907417941 & 2.14765618118252 \tabularnewline
0.24 & 41.8094700533112 & 2.26099208708907 \tabularnewline
0.25 & 42.2565640360836 & 2.37066519692294 \tabularnewline
0.26 & 42.7217098470892 & 2.48532322196562 \tabularnewline
0.27 & 43.2053987783166 & 2.613085088932 \tabularnewline
0.28 & 43.7090864961883 & 2.75920258104883 \tabularnewline
0.29 & 44.2347783103848 & 2.92473400420999 \tabularnewline
0.3 & 44.7844742977231 & 3.10575473108757 \tabularnewline
0.31 & 45.3595867538833 & 3.29420608113594 \tabularnewline
0.32 & 45.9604456607535 & 3.47947770442037 \tabularnewline
0.33 & 46.5859863558331 & 3.65007055519698 \tabularnewline
0.34 & 47.2336729489357 & 3.79579505481602 \tabularnewline
0.35 & 47.8996611114953 & 3.90896339571063 \tabularnewline
0.36 & 48.579156209755 & 3.98551973901061 \tabularnewline
0.37 & 49.2668877160531 & 4.02542312337739 \tabularnewline
0.38 & 49.9576051761302 & 4.03181723698997 \tabularnewline
0.39 & 50.6465065707110 & 4.01048508991538 \tabularnewline
0.4 & 51.3295335566532 & 3.96835200825236 \tabularnewline
0.41 & 52.0035028730742 & 3.91209245761444 \tabularnewline
0.42 & 52.6660803788583 & 3.84719876709803 \tabularnewline
0.43 & 53.3156353478026 & 3.77696018399659 \tabularnewline
0.44 & 53.951031644992 & 3.70272854739672 \tabularnewline
0.45 & 54.571416514868 & 3.62416978455107 \tabularnewline
0.46 & 55.1760578416576 & 3.53987467303507 \tabularnewline
0.47 & 55.7642608189686 & 3.44871730125394 \tabularnewline
0.48 & 56.3353706858273 & 3.35010052822295 \tabularnewline
0.49 & 56.8888455560405 & 3.24473474831285 \tabularnewline
0.5 & 57.424367352068 & 3.13479012560007 \tabularnewline
0.51 & 57.94195242988 & 3.02332085912479 \tabularnewline
0.52 & 58.4420272194292 & 2.91414067437663 \tabularnewline
0.53 & 58.9254463982005 & 2.8110189839433 \tabularnewline
0.54 & 59.3934483383559 & 2.71702270497500 \tabularnewline
0.55 & 59.8475605223972 & 2.63396911358895 \tabularnewline
0.56 & 60.2894820737731 & 2.56228640302442 \tabularnewline
0.57 & 60.720978192635 & 2.50123752611826 \tabularnewline
0.58 & 61.1438203947538 & 2.44944798252972 \tabularnewline
0.59 & 61.5597971957322 & 2.40556758012841 \tabularnewline
0.6 & 61.9708042792652 & 2.36917180700270 \tabularnewline
0.61 & 62.3790046619925 & 2.34156137265792 \tabularnewline
0.62 & 62.7870320076117 & 2.32572428551635 \tabularnewline
0.63 & 63.1981978902407 & 2.32656296825993 \tabularnewline
0.64 & 63.6166591656554 & 2.35046506428403 \tabularnewline
0.65 & 64.0475055957502 & 2.40398587337671 \tabularnewline
0.66 & 64.4967393866795 & 2.49314862147221 \tabularnewline
0.67 & 64.971134522199 & 2.62172553301738 \tabularnewline
0.68 & 65.4779809470369 & 2.79114665000303 \tabularnewline
0.69 & 66.0247332144632 & 2.99955511102396 \tabularnewline
0.7 & 66.6185929244166 & 3.24265539762931 \tabularnewline
0.71 & 67.2660590408632 & 3.5136288191807 \tabularnewline
0.72 & 67.9724821092534 & 3.803649009534 \tabularnewline
0.73 & 68.7416610040545 & 4.10241882410155 \tabularnewline
0.74 & 69.5755272910921 & 4.39836179313409 \tabularnewline
0.75 & 70.4739731935407 & 4.67921555629575 \tabularnewline
0.76 & 71.4348905813481 & 4.93302778777842 \tabularnewline
0.77 & 72.4544912601292 & 5.14942216141793 \tabularnewline
0.78 & 73.5279605416504 & 5.32134462392556 \tabularnewline
0.79 & 74.6504452348108 & 5.44725058031705 \tabularnewline
0.8 & 75.8182906861 & 5.53259350478576 \tabularnewline
0.81 & 77.0303318895278 & 5.59132079489087 \tabularnewline
0.82 & 78.2889429322547 & 5.64419072715667 \tabularnewline
0.83 & 79.6005034706775 & 5.71545480424291 \tabularnewline
0.84 & 80.9749939307379 & 5.82632433397923 \tabularnewline
0.85 & 82.4245954967304 & 5.98661755790593 \tabularnewline
0.86 & 83.9614027476273 & 6.18915333934242 \tabularnewline
0.87 & 85.5945530294032 & 6.409102778556 \tabularnewline
0.88 & 87.32712125572 & 6.60954470005825 \tabularnewline
0.89 & 89.1529920187106 & 6.74974383158343 \tabularnewline
0.9 & 91.0537694666861 & 6.79020382924704 \tabularnewline
0.91 & 92.9960005973121 & 6.69153778895754 \tabularnewline
0.92 & 94.9299584411427 & 6.40994865286664 \tabularnewline
0.93 & 96.7928573703923 & 5.90050084655927 \tabularnewline
0.94 & 98.5204050676165 & 5.14031982406116 \tabularnewline
0.95 & 100.068288462059 & 4.17242971119701 \tabularnewline
0.96 & 101.436285970369 & 3.15219973979433 \tabularnewline
0.97 & 102.672571901765 & 2.37995258142727 \tabularnewline
0.98 & 103.827070883741 & 2.22054765134349 \tabularnewline
0.99 & 104.851865809566 & 2.62900952409085 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18563&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]29.5217253081737[/C][C]3.41247698051064[/C][/ROW]
[ROW][C]0.02[/C][C]31.0202744105712[/C][C]3.42065630845394[/C][/ROW]
[ROW][C]0.03[/C][C]32.6541858999928[/C][C]3.22274029339021[/C][/ROW]
[ROW][C]0.04[/C][C]34.1324593778323[/C][C]2.77190512272931[/C][/ROW]
[ROW][C]0.05[/C][C]35.3264355541553[/C][C]2.19036812878651[/C][/ROW]
[ROW][C]0.06[/C][C]36.2232438177369[/C][C]1.63167859622188[/C][/ROW]
[ROW][C]0.07[/C][C]36.8684578621846[/C][C]1.19050684118326[/C][/ROW]
[ROW][C]0.08[/C][C]37.3260439389537[/C][C]0.892629182463635[/C][/ROW]
[ROW][C]0.09[/C][C]37.6564648644630[/C][C]0.719909226151969[/C][/ROW]
[ROW][C]0.1[/C][C]37.9077278082361[/C][C]0.638138640566654[/C][/ROW]
[ROW][C]0.11[/C][C]38.1142258014124[/C][C]0.616955554630549[/C][/ROW]
[ROW][C]0.12[/C][C]38.2992906819346[/C][C]0.638654115297018[/C][/ROW]
[ROW][C]0.13[/C][C]38.4786751838119[/C][C]0.695849125279778[/C][/ROW]
[ROW][C]0.14[/C][C]38.6634748819638[/C][C]0.785657869074608[/C][/ROW]
[ROW][C]0.15[/C][C]38.8619992103386[/C][C]0.905261928559476[/C][/ROW]
[ROW][C]0.16[/C][C]39.0806823410338[/C][C]1.04990311265162[/C][/ROW]
[ROW][C]0.17[/C][C]39.3243555522416[/C][C]1.21288243251611[/C][/ROW]
[ROW][C]0.18[/C][C]39.5962208254858[/C][C]1.38598889449130[/C][/ROW]
[ROW][C]0.19[/C][C]39.8977888794789[/C][C]1.56051241408467[/C][/ROW]
[ROW][C]0.2[/C][C]40.2289439813919[/C][C]1.72852542692955[/C][/ROW]
[ROW][C]0.21[/C][C]40.5882041419120[/C][C]1.88379108190276[/C][/ROW]
[ROW][C]0.22[/C][C]40.9731689391283[/C][C]2.02334479050337[/C][/ROW]
[ROW][C]0.23[/C][C]41.3810907417941[/C][C]2.14765618118252[/C][/ROW]
[ROW][C]0.24[/C][C]41.8094700533112[/C][C]2.26099208708907[/C][/ROW]
[ROW][C]0.25[/C][C]42.2565640360836[/C][C]2.37066519692294[/C][/ROW]
[ROW][C]0.26[/C][C]42.7217098470892[/C][C]2.48532322196562[/C][/ROW]
[ROW][C]0.27[/C][C]43.2053987783166[/C][C]2.613085088932[/C][/ROW]
[ROW][C]0.28[/C][C]43.7090864961883[/C][C]2.75920258104883[/C][/ROW]
[ROW][C]0.29[/C][C]44.2347783103848[/C][C]2.92473400420999[/C][/ROW]
[ROW][C]0.3[/C][C]44.7844742977231[/C][C]3.10575473108757[/C][/ROW]
[ROW][C]0.31[/C][C]45.3595867538833[/C][C]3.29420608113594[/C][/ROW]
[ROW][C]0.32[/C][C]45.9604456607535[/C][C]3.47947770442037[/C][/ROW]
[ROW][C]0.33[/C][C]46.5859863558331[/C][C]3.65007055519698[/C][/ROW]
[ROW][C]0.34[/C][C]47.2336729489357[/C][C]3.79579505481602[/C][/ROW]
[ROW][C]0.35[/C][C]47.8996611114953[/C][C]3.90896339571063[/C][/ROW]
[ROW][C]0.36[/C][C]48.579156209755[/C][C]3.98551973901061[/C][/ROW]
[ROW][C]0.37[/C][C]49.2668877160531[/C][C]4.02542312337739[/C][/ROW]
[ROW][C]0.38[/C][C]49.9576051761302[/C][C]4.03181723698997[/C][/ROW]
[ROW][C]0.39[/C][C]50.6465065707110[/C][C]4.01048508991538[/C][/ROW]
[ROW][C]0.4[/C][C]51.3295335566532[/C][C]3.96835200825236[/C][/ROW]
[ROW][C]0.41[/C][C]52.0035028730742[/C][C]3.91209245761444[/C][/ROW]
[ROW][C]0.42[/C][C]52.6660803788583[/C][C]3.84719876709803[/C][/ROW]
[ROW][C]0.43[/C][C]53.3156353478026[/C][C]3.77696018399659[/C][/ROW]
[ROW][C]0.44[/C][C]53.951031644992[/C][C]3.70272854739672[/C][/ROW]
[ROW][C]0.45[/C][C]54.571416514868[/C][C]3.62416978455107[/C][/ROW]
[ROW][C]0.46[/C][C]55.1760578416576[/C][C]3.53987467303507[/C][/ROW]
[ROW][C]0.47[/C][C]55.7642608189686[/C][C]3.44871730125394[/C][/ROW]
[ROW][C]0.48[/C][C]56.3353706858273[/C][C]3.35010052822295[/C][/ROW]
[ROW][C]0.49[/C][C]56.8888455560405[/C][C]3.24473474831285[/C][/ROW]
[ROW][C]0.5[/C][C]57.424367352068[/C][C]3.13479012560007[/C][/ROW]
[ROW][C]0.51[/C][C]57.94195242988[/C][C]3.02332085912479[/C][/ROW]
[ROW][C]0.52[/C][C]58.4420272194292[/C][C]2.91414067437663[/C][/ROW]
[ROW][C]0.53[/C][C]58.9254463982005[/C][C]2.8110189839433[/C][/ROW]
[ROW][C]0.54[/C][C]59.3934483383559[/C][C]2.71702270497500[/C][/ROW]
[ROW][C]0.55[/C][C]59.8475605223972[/C][C]2.63396911358895[/C][/ROW]
[ROW][C]0.56[/C][C]60.2894820737731[/C][C]2.56228640302442[/C][/ROW]
[ROW][C]0.57[/C][C]60.720978192635[/C][C]2.50123752611826[/C][/ROW]
[ROW][C]0.58[/C][C]61.1438203947538[/C][C]2.44944798252972[/C][/ROW]
[ROW][C]0.59[/C][C]61.5597971957322[/C][C]2.40556758012841[/C][/ROW]
[ROW][C]0.6[/C][C]61.9708042792652[/C][C]2.36917180700270[/C][/ROW]
[ROW][C]0.61[/C][C]62.3790046619925[/C][C]2.34156137265792[/C][/ROW]
[ROW][C]0.62[/C][C]62.7870320076117[/C][C]2.32572428551635[/C][/ROW]
[ROW][C]0.63[/C][C]63.1981978902407[/C][C]2.32656296825993[/C][/ROW]
[ROW][C]0.64[/C][C]63.6166591656554[/C][C]2.35046506428403[/C][/ROW]
[ROW][C]0.65[/C][C]64.0475055957502[/C][C]2.40398587337671[/C][/ROW]
[ROW][C]0.66[/C][C]64.4967393866795[/C][C]2.49314862147221[/C][/ROW]
[ROW][C]0.67[/C][C]64.971134522199[/C][C]2.62172553301738[/C][/ROW]
[ROW][C]0.68[/C][C]65.4779809470369[/C][C]2.79114665000303[/C][/ROW]
[ROW][C]0.69[/C][C]66.0247332144632[/C][C]2.99955511102396[/C][/ROW]
[ROW][C]0.7[/C][C]66.6185929244166[/C][C]3.24265539762931[/C][/ROW]
[ROW][C]0.71[/C][C]67.2660590408632[/C][C]3.5136288191807[/C][/ROW]
[ROW][C]0.72[/C][C]67.9724821092534[/C][C]3.803649009534[/C][/ROW]
[ROW][C]0.73[/C][C]68.7416610040545[/C][C]4.10241882410155[/C][/ROW]
[ROW][C]0.74[/C][C]69.5755272910921[/C][C]4.39836179313409[/C][/ROW]
[ROW][C]0.75[/C][C]70.4739731935407[/C][C]4.67921555629575[/C][/ROW]
[ROW][C]0.76[/C][C]71.4348905813481[/C][C]4.93302778777842[/C][/ROW]
[ROW][C]0.77[/C][C]72.4544912601292[/C][C]5.14942216141793[/C][/ROW]
[ROW][C]0.78[/C][C]73.5279605416504[/C][C]5.32134462392556[/C][/ROW]
[ROW][C]0.79[/C][C]74.6504452348108[/C][C]5.44725058031705[/C][/ROW]
[ROW][C]0.8[/C][C]75.8182906861[/C][C]5.53259350478576[/C][/ROW]
[ROW][C]0.81[/C][C]77.0303318895278[/C][C]5.59132079489087[/C][/ROW]
[ROW][C]0.82[/C][C]78.2889429322547[/C][C]5.64419072715667[/C][/ROW]
[ROW][C]0.83[/C][C]79.6005034706775[/C][C]5.71545480424291[/C][/ROW]
[ROW][C]0.84[/C][C]80.9749939307379[/C][C]5.82632433397923[/C][/ROW]
[ROW][C]0.85[/C][C]82.4245954967304[/C][C]5.98661755790593[/C][/ROW]
[ROW][C]0.86[/C][C]83.9614027476273[/C][C]6.18915333934242[/C][/ROW]
[ROW][C]0.87[/C][C]85.5945530294032[/C][C]6.409102778556[/C][/ROW]
[ROW][C]0.88[/C][C]87.32712125572[/C][C]6.60954470005825[/C][/ROW]
[ROW][C]0.89[/C][C]89.1529920187106[/C][C]6.74974383158343[/C][/ROW]
[ROW][C]0.9[/C][C]91.0537694666861[/C][C]6.79020382924704[/C][/ROW]
[ROW][C]0.91[/C][C]92.9960005973121[/C][C]6.69153778895754[/C][/ROW]
[ROW][C]0.92[/C][C]94.9299584411427[/C][C]6.40994865286664[/C][/ROW]
[ROW][C]0.93[/C][C]96.7928573703923[/C][C]5.90050084655927[/C][/ROW]
[ROW][C]0.94[/C][C]98.5204050676165[/C][C]5.14031982406116[/C][/ROW]
[ROW][C]0.95[/C][C]100.068288462059[/C][C]4.17242971119701[/C][/ROW]
[ROW][C]0.96[/C][C]101.436285970369[/C][C]3.15219973979433[/C][/ROW]
[ROW][C]0.97[/C][C]102.672571901765[/C][C]2.37995258142727[/C][/ROW]
[ROW][C]0.98[/C][C]103.827070883741[/C][C]2.22054765134349[/C][/ROW]
[ROW][C]0.99[/C][C]104.851865809566[/C][C]2.62900952409085[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18563&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
0.0129.52172530817373.41247698051064
0.0231.02027441057123.42065630845394
0.0332.65418589999283.22274029339021
0.0434.13245937783232.77190512272931
0.0535.32643555415532.19036812878651
0.0636.22324381773691.63167859622188
0.0736.86845786218461.19050684118326
0.0837.32604393895370.892629182463635
0.0937.65646486446300.719909226151969
0.137.90772780823610.638138640566654
0.1138.11422580141240.616955554630549
0.1238.29929068193460.638654115297018
0.1338.47867518381190.695849125279778
0.1438.66347488196380.785657869074608
0.1538.86199921033860.905261928559476
0.1639.08068234103381.04990311265162
0.1739.32435555224161.21288243251611
0.1839.59622082548581.38598889449130
0.1939.89778887947891.56051241408467
0.240.22894398139191.72852542692955
0.2140.58820414191201.88379108190276
0.2240.97316893912832.02334479050337
0.2341.38109074179412.14765618118252
0.2441.80947005331122.26099208708907
0.2542.25656403608362.37066519692294
0.2642.72170984708922.48532322196562
0.2743.20539877831662.613085088932
0.2843.70908649618832.75920258104883
0.2944.23477831038482.92473400420999
0.344.78447429772313.10575473108757
0.3145.35958675388333.29420608113594
0.3245.96044566075353.47947770442037
0.3346.58598635583313.65007055519698
0.3447.23367294893573.79579505481602
0.3547.89966111149533.90896339571063
0.3648.5791562097553.98551973901061
0.3749.26688771605314.02542312337739
0.3849.95760517613024.03181723698997
0.3950.64650657071104.01048508991538
0.451.32953355665323.96835200825236
0.4152.00350287307423.91209245761444
0.4252.66608037885833.84719876709803
0.4353.31563534780263.77696018399659
0.4453.9510316449923.70272854739672
0.4554.5714165148683.62416978455107
0.4655.17605784165763.53987467303507
0.4755.76426081896863.44871730125394
0.4856.33537068582733.35010052822295
0.4956.88884555604053.24473474831285
0.557.4243673520683.13479012560007
0.5157.941952429883.02332085912479
0.5258.44202721942922.91414067437663
0.5358.92544639820052.8110189839433
0.5459.39344833835592.71702270497500
0.5559.84756052239722.63396911358895
0.5660.28948207377312.56228640302442
0.5760.7209781926352.50123752611826
0.5861.14382039475382.44944798252972
0.5961.55979719573222.40556758012841
0.661.97080427926522.36917180700270
0.6162.37900466199252.34156137265792
0.6262.78703200761172.32572428551635
0.6363.19819789024072.32656296825993
0.6463.61665916565542.35046506428403
0.6564.04750559575022.40398587337671
0.6664.49673938667952.49314862147221
0.6764.9711345221992.62172553301738
0.6865.47798094703692.79114665000303
0.6966.02473321446322.99955511102396
0.766.61859292441663.24265539762931
0.7167.26605904086323.5136288191807
0.7267.97248210925343.803649009534
0.7368.74166100405454.10241882410155
0.7469.57552729109214.39836179313409
0.7570.47397319354074.67921555629575
0.7671.43489058134814.93302778777842
0.7772.45449126012925.14942216141793
0.7873.52796054165045.32134462392556
0.7974.65044523481085.44725058031705
0.875.81829068615.53259350478576
0.8177.03033188952785.59132079489087
0.8278.28894293225475.64419072715667
0.8379.60050347067755.71545480424291
0.8480.97499393073795.82632433397923
0.8582.42459549673045.98661755790593
0.8683.96140274762736.18915333934242
0.8785.59455302940326.409102778556
0.8887.327121255726.60954470005825
0.8989.15299201871066.74974383158343
0.991.05376946668616.79020382924704
0.9192.99600059731216.69153778895754
0.9294.92995844114276.40994865286664
0.9396.79285737039235.90050084655927
0.9498.52040506761655.14031982406116
0.95100.0682884620594.17242971119701
0.96101.4362859703693.15219973979433
0.97102.6725719017652.37995258142727
0.98103.8270708837412.22054765134349
0.99104.8518658095662.62900952409085


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 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')