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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 computationSat, 10 Dec 2011 07:56:46 -0500
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/Dec/10/t1323521842tr9g7qjf8bgedw4.htm/, Retrieved Sun, 05 May 2024 02:46:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153506, Retrieved Sun, 05 May 2024 02:46:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Gemiddelde consum...] [2011-09-27 13:57:47] [f7548c9112425b8e1ec4583a34a373fa]
- RMPD    [Harrell-Davis Quantiles] [] [2011-12-10 12:56:46] [2a4af61e9205cb322e653ff199304e24] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36,68
36,77
36,78
36,78
37
37,12
37,3
37,34
37,4
37,4
37,34
37,29
37,39
37,42
37,42
43,49
44,3
44,36
44,52
44,66
44,77
44,77
44,82
44,97
45,28
45,5
45,52
45,52
45,17
45,25
45,32
45,41
45,44
45,44
45,46
45,53
45,61
45,8
45,83
45,83
45,96
46,01
46,18
46,32
46,51
46,51
46,56
46,54
46,62
46,76
46,82
46,82
46,7
46,72
46,47
46,74
46,89
46,89
46,96
47,6
47,67
47,58
47,58
47,58
47,57
47,53
47,68
47,56
47,81
47,81
47,81
47,81
48,12
48,13
48,01

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153506&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153506&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153506&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0136.70694090797360.0729223337820878
0.0236.74738860371710.0681281555351913
0.0336.79378990210640.0944475105428575
0.0436.84740532183610.136977453370259
0.0536.91048801672360.175219544569047
0.0636.98153122966290.198155477559077
0.0737.05624979579990.205102254060411
0.0837.13079094075770.204667293743649
0.0937.20447261341560.21382037205908
0.137.28123787924540.256299227248827
0.1137.3699478126620.355041498244267
0.1237.48375917975370.524169651963373
0.1337.63868454670060.769298836081372
0.1437.85137052510561.08625492823919
0.1538.13626688361261.45811637607665
0.1638.50262071950281.8546317208796
0.1738.95195157832972.23585675181217
0.1839.47669367570372.55862962206492
0.1940.06046982418092.78509838253223
0.240.68004785114862.89018830532505
0.2141.30857332010732.86615094805367
0.2241.91933968101582.72288745619664
0.2342.48925988860732.48493816965344
0.2443.00135551160022.18528069530364
0.2543.44590240064151.8588699488892
0.2643.82024060706421.53666631264929
0.2744.12755278072621.24218741410347
0.2844.37507039338540.989757974706316
0.2944.57217229664020.78512217067484
0.344.72873432086880.626974950067043
0.3144.85393192570560.509588001683368
0.3244.95554594480850.424378494018452
0.3345.0397098764090.362881719826191
0.3445.1109781436190.31732849320573
0.3545.17258228465780.282189946412113
0.3645.22676076463090.253766968729376
0.3745.27508130192330.230072157288232
0.3845.31870918300570.21028054517194
0.3945.35860330608960.194387380033357
0.445.3956408313020.182591705817326
0.4145.43068180696980.175228458051304
0.4245.46458908580830.172634794391536
0.4345.49821867139320.174746057873897
0.4445.53239337279390.181358951096608
0.4545.5678696584420.191903037322036
0.4645.60530463989030.205507539443802
0.4745.64522751571880.221512830793404
0.4845.68801769595680.238823540012442
0.4945.73389028232760.256565462062848
0.545.78288866581660.273943900555279
0.5145.83488374317580.289979055789876
0.5245.88957955626480.30383050283722
0.5345.94652577143470.314791413373287
0.5446.0051379567110.322077840637229
0.5546.06472667425320.325299068521635
0.5646.12453570882150.32413983013866
0.5746.18378829730820.318452185239545
0.5846.24173833683360.308664036364808
0.5946.29772181679880.295327693346905
0.646.35120280470160.27914967167293
0.6146.40180870652170.261247557218232
0.6246.44935132564070.242764891317533
0.6346.49383308325030.224669189850268
0.6446.53544084447050.207949816919442
0.6546.57453212258110.193477083615125
0.6646.61161911478290.181950150297446
0.6746.64735456551940.174004309869073
0.6846.68251998580650.170189798766114
0.6946.71801210320540.171051722560267
0.746.75481900742870.177143872749812
0.7146.79397506628360.188673923704836
0.7246.83648500491480.205258451201203
0.7346.8832136000370.226052701185684
0.7446.93474799804830.249235860532512
0.7546.99125274392630.272301410843124
0.7647.05234947887790.292377846779524
0.7747.11705915849910.306393334863289
0.7847.18384023950660.311678885962191
0.7947.25073965596620.306635820214241
0.847.31564665958040.291021388763187
0.8147.3766092563810.266176447350651
0.8247.43214849312740.234849858901406
0.8347.48149646777890.200789250868018
0.8447.52469503901710.168017559482204
0.8547.56252296079340.1401175034927
0.8647.59626280645990.119455925636788
0.8747.62736563007420.106653650301123
0.8847.65711091117730.10006580894936
0.8947.68638265692570.0966529116970863
0.947.71567739969560.0935530573876107
0.9147.74540631754950.0894631388527818
0.9247.77642750419540.0856585149118223
0.9347.81054142855240.08620982089879
0.9447.85046966411260.0954821191855538
0.9547.89880170301670.112440143283744
0.9647.95581520443460.127541918559921
0.9748.01709532748170.126285069454468
0.9848.0730652333140.0979665739952042
0.9948.11256554007730.0487083377408221

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 36.7069409079736 & 0.0729223337820878 \tabularnewline
0.02 & 36.7473886037171 & 0.0681281555351913 \tabularnewline
0.03 & 36.7937899021064 & 0.0944475105428575 \tabularnewline
0.04 & 36.8474053218361 & 0.136977453370259 \tabularnewline
0.05 & 36.9104880167236 & 0.175219544569047 \tabularnewline
0.06 & 36.9815312296629 & 0.198155477559077 \tabularnewline
0.07 & 37.0562497957999 & 0.205102254060411 \tabularnewline
0.08 & 37.1307909407577 & 0.204667293743649 \tabularnewline
0.09 & 37.2044726134156 & 0.21382037205908 \tabularnewline
0.1 & 37.2812378792454 & 0.256299227248827 \tabularnewline
0.11 & 37.369947812662 & 0.355041498244267 \tabularnewline
0.12 & 37.4837591797537 & 0.524169651963373 \tabularnewline
0.13 & 37.6386845467006 & 0.769298836081372 \tabularnewline
0.14 & 37.8513705251056 & 1.08625492823919 \tabularnewline
0.15 & 38.1362668836126 & 1.45811637607665 \tabularnewline
0.16 & 38.5026207195028 & 1.8546317208796 \tabularnewline
0.17 & 38.9519515783297 & 2.23585675181217 \tabularnewline
0.18 & 39.4766936757037 & 2.55862962206492 \tabularnewline
0.19 & 40.0604698241809 & 2.78509838253223 \tabularnewline
0.2 & 40.6800478511486 & 2.89018830532505 \tabularnewline
0.21 & 41.3085733201073 & 2.86615094805367 \tabularnewline
0.22 & 41.9193396810158 & 2.72288745619664 \tabularnewline
0.23 & 42.4892598886073 & 2.48493816965344 \tabularnewline
0.24 & 43.0013555116002 & 2.18528069530364 \tabularnewline
0.25 & 43.4459024006415 & 1.8588699488892 \tabularnewline
0.26 & 43.8202406070642 & 1.53666631264929 \tabularnewline
0.27 & 44.1275527807262 & 1.24218741410347 \tabularnewline
0.28 & 44.3750703933854 & 0.989757974706316 \tabularnewline
0.29 & 44.5721722966402 & 0.78512217067484 \tabularnewline
0.3 & 44.7287343208688 & 0.626974950067043 \tabularnewline
0.31 & 44.8539319257056 & 0.509588001683368 \tabularnewline
0.32 & 44.9555459448085 & 0.424378494018452 \tabularnewline
0.33 & 45.039709876409 & 0.362881719826191 \tabularnewline
0.34 & 45.110978143619 & 0.31732849320573 \tabularnewline
0.35 & 45.1725822846578 & 0.282189946412113 \tabularnewline
0.36 & 45.2267607646309 & 0.253766968729376 \tabularnewline
0.37 & 45.2750813019233 & 0.230072157288232 \tabularnewline
0.38 & 45.3187091830057 & 0.21028054517194 \tabularnewline
0.39 & 45.3586033060896 & 0.194387380033357 \tabularnewline
0.4 & 45.395640831302 & 0.182591705817326 \tabularnewline
0.41 & 45.4306818069698 & 0.175228458051304 \tabularnewline
0.42 & 45.4645890858083 & 0.172634794391536 \tabularnewline
0.43 & 45.4982186713932 & 0.174746057873897 \tabularnewline
0.44 & 45.5323933727939 & 0.181358951096608 \tabularnewline
0.45 & 45.567869658442 & 0.191903037322036 \tabularnewline
0.46 & 45.6053046398903 & 0.205507539443802 \tabularnewline
0.47 & 45.6452275157188 & 0.221512830793404 \tabularnewline
0.48 & 45.6880176959568 & 0.238823540012442 \tabularnewline
0.49 & 45.7338902823276 & 0.256565462062848 \tabularnewline
0.5 & 45.7828886658166 & 0.273943900555279 \tabularnewline
0.51 & 45.8348837431758 & 0.289979055789876 \tabularnewline
0.52 & 45.8895795562648 & 0.30383050283722 \tabularnewline
0.53 & 45.9465257714347 & 0.314791413373287 \tabularnewline
0.54 & 46.005137956711 & 0.322077840637229 \tabularnewline
0.55 & 46.0647266742532 & 0.325299068521635 \tabularnewline
0.56 & 46.1245357088215 & 0.32413983013866 \tabularnewline
0.57 & 46.1837882973082 & 0.318452185239545 \tabularnewline
0.58 & 46.2417383368336 & 0.308664036364808 \tabularnewline
0.59 & 46.2977218167988 & 0.295327693346905 \tabularnewline
0.6 & 46.3512028047016 & 0.27914967167293 \tabularnewline
0.61 & 46.4018087065217 & 0.261247557218232 \tabularnewline
0.62 & 46.4493513256407 & 0.242764891317533 \tabularnewline
0.63 & 46.4938330832503 & 0.224669189850268 \tabularnewline
0.64 & 46.5354408444705 & 0.207949816919442 \tabularnewline
0.65 & 46.5745321225811 & 0.193477083615125 \tabularnewline
0.66 & 46.6116191147829 & 0.181950150297446 \tabularnewline
0.67 & 46.6473545655194 & 0.174004309869073 \tabularnewline
0.68 & 46.6825199858065 & 0.170189798766114 \tabularnewline
0.69 & 46.7180121032054 & 0.171051722560267 \tabularnewline
0.7 & 46.7548190074287 & 0.177143872749812 \tabularnewline
0.71 & 46.7939750662836 & 0.188673923704836 \tabularnewline
0.72 & 46.8364850049148 & 0.205258451201203 \tabularnewline
0.73 & 46.883213600037 & 0.226052701185684 \tabularnewline
0.74 & 46.9347479980483 & 0.249235860532512 \tabularnewline
0.75 & 46.9912527439263 & 0.272301410843124 \tabularnewline
0.76 & 47.0523494788779 & 0.292377846779524 \tabularnewline
0.77 & 47.1170591584991 & 0.306393334863289 \tabularnewline
0.78 & 47.1838402395066 & 0.311678885962191 \tabularnewline
0.79 & 47.2507396559662 & 0.306635820214241 \tabularnewline
0.8 & 47.3156466595804 & 0.291021388763187 \tabularnewline
0.81 & 47.376609256381 & 0.266176447350651 \tabularnewline
0.82 & 47.4321484931274 & 0.234849858901406 \tabularnewline
0.83 & 47.4814964677789 & 0.200789250868018 \tabularnewline
0.84 & 47.5246950390171 & 0.168017559482204 \tabularnewline
0.85 & 47.5625229607934 & 0.1401175034927 \tabularnewline
0.86 & 47.5962628064599 & 0.119455925636788 \tabularnewline
0.87 & 47.6273656300742 & 0.106653650301123 \tabularnewline
0.88 & 47.6571109111773 & 0.10006580894936 \tabularnewline
0.89 & 47.6863826569257 & 0.0966529116970863 \tabularnewline
0.9 & 47.7156773996956 & 0.0935530573876107 \tabularnewline
0.91 & 47.7454063175495 & 0.0894631388527818 \tabularnewline
0.92 & 47.7764275041954 & 0.0856585149118223 \tabularnewline
0.93 & 47.8105414285524 & 0.08620982089879 \tabularnewline
0.94 & 47.8504696641126 & 0.0954821191855538 \tabularnewline
0.95 & 47.8988017030167 & 0.112440143283744 \tabularnewline
0.96 & 47.9558152044346 & 0.127541918559921 \tabularnewline
0.97 & 48.0170953274817 & 0.126285069454468 \tabularnewline
0.98 & 48.073065233314 & 0.0979665739952042 \tabularnewline
0.99 & 48.1125655400773 & 0.0487083377408221 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153506&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]36.7069409079736[/C][C]0.0729223337820878[/C][/ROW]
[ROW][C]0.02[/C][C]36.7473886037171[/C][C]0.0681281555351913[/C][/ROW]
[ROW][C]0.03[/C][C]36.7937899021064[/C][C]0.0944475105428575[/C][/ROW]
[ROW][C]0.04[/C][C]36.8474053218361[/C][C]0.136977453370259[/C][/ROW]
[ROW][C]0.05[/C][C]36.9104880167236[/C][C]0.175219544569047[/C][/ROW]
[ROW][C]0.06[/C][C]36.9815312296629[/C][C]0.198155477559077[/C][/ROW]
[ROW][C]0.07[/C][C]37.0562497957999[/C][C]0.205102254060411[/C][/ROW]
[ROW][C]0.08[/C][C]37.1307909407577[/C][C]0.204667293743649[/C][/ROW]
[ROW][C]0.09[/C][C]37.2044726134156[/C][C]0.21382037205908[/C][/ROW]
[ROW][C]0.1[/C][C]37.2812378792454[/C][C]0.256299227248827[/C][/ROW]
[ROW][C]0.11[/C][C]37.369947812662[/C][C]0.355041498244267[/C][/ROW]
[ROW][C]0.12[/C][C]37.4837591797537[/C][C]0.524169651963373[/C][/ROW]
[ROW][C]0.13[/C][C]37.6386845467006[/C][C]0.769298836081372[/C][/ROW]
[ROW][C]0.14[/C][C]37.8513705251056[/C][C]1.08625492823919[/C][/ROW]
[ROW][C]0.15[/C][C]38.1362668836126[/C][C]1.45811637607665[/C][/ROW]
[ROW][C]0.16[/C][C]38.5026207195028[/C][C]1.8546317208796[/C][/ROW]
[ROW][C]0.17[/C][C]38.9519515783297[/C][C]2.23585675181217[/C][/ROW]
[ROW][C]0.18[/C][C]39.4766936757037[/C][C]2.55862962206492[/C][/ROW]
[ROW][C]0.19[/C][C]40.0604698241809[/C][C]2.78509838253223[/C][/ROW]
[ROW][C]0.2[/C][C]40.6800478511486[/C][C]2.89018830532505[/C][/ROW]
[ROW][C]0.21[/C][C]41.3085733201073[/C][C]2.86615094805367[/C][/ROW]
[ROW][C]0.22[/C][C]41.9193396810158[/C][C]2.72288745619664[/C][/ROW]
[ROW][C]0.23[/C][C]42.4892598886073[/C][C]2.48493816965344[/C][/ROW]
[ROW][C]0.24[/C][C]43.0013555116002[/C][C]2.18528069530364[/C][/ROW]
[ROW][C]0.25[/C][C]43.4459024006415[/C][C]1.8588699488892[/C][/ROW]
[ROW][C]0.26[/C][C]43.8202406070642[/C][C]1.53666631264929[/C][/ROW]
[ROW][C]0.27[/C][C]44.1275527807262[/C][C]1.24218741410347[/C][/ROW]
[ROW][C]0.28[/C][C]44.3750703933854[/C][C]0.989757974706316[/C][/ROW]
[ROW][C]0.29[/C][C]44.5721722966402[/C][C]0.78512217067484[/C][/ROW]
[ROW][C]0.3[/C][C]44.7287343208688[/C][C]0.626974950067043[/C][/ROW]
[ROW][C]0.31[/C][C]44.8539319257056[/C][C]0.509588001683368[/C][/ROW]
[ROW][C]0.32[/C][C]44.9555459448085[/C][C]0.424378494018452[/C][/ROW]
[ROW][C]0.33[/C][C]45.039709876409[/C][C]0.362881719826191[/C][/ROW]
[ROW][C]0.34[/C][C]45.110978143619[/C][C]0.31732849320573[/C][/ROW]
[ROW][C]0.35[/C][C]45.1725822846578[/C][C]0.282189946412113[/C][/ROW]
[ROW][C]0.36[/C][C]45.2267607646309[/C][C]0.253766968729376[/C][/ROW]
[ROW][C]0.37[/C][C]45.2750813019233[/C][C]0.230072157288232[/C][/ROW]
[ROW][C]0.38[/C][C]45.3187091830057[/C][C]0.21028054517194[/C][/ROW]
[ROW][C]0.39[/C][C]45.3586033060896[/C][C]0.194387380033357[/C][/ROW]
[ROW][C]0.4[/C][C]45.395640831302[/C][C]0.182591705817326[/C][/ROW]
[ROW][C]0.41[/C][C]45.4306818069698[/C][C]0.175228458051304[/C][/ROW]
[ROW][C]0.42[/C][C]45.4645890858083[/C][C]0.172634794391536[/C][/ROW]
[ROW][C]0.43[/C][C]45.4982186713932[/C][C]0.174746057873897[/C][/ROW]
[ROW][C]0.44[/C][C]45.5323933727939[/C][C]0.181358951096608[/C][/ROW]
[ROW][C]0.45[/C][C]45.567869658442[/C][C]0.191903037322036[/C][/ROW]
[ROW][C]0.46[/C][C]45.6053046398903[/C][C]0.205507539443802[/C][/ROW]
[ROW][C]0.47[/C][C]45.6452275157188[/C][C]0.221512830793404[/C][/ROW]
[ROW][C]0.48[/C][C]45.6880176959568[/C][C]0.238823540012442[/C][/ROW]
[ROW][C]0.49[/C][C]45.7338902823276[/C][C]0.256565462062848[/C][/ROW]
[ROW][C]0.5[/C][C]45.7828886658166[/C][C]0.273943900555279[/C][/ROW]
[ROW][C]0.51[/C][C]45.8348837431758[/C][C]0.289979055789876[/C][/ROW]
[ROW][C]0.52[/C][C]45.8895795562648[/C][C]0.30383050283722[/C][/ROW]
[ROW][C]0.53[/C][C]45.9465257714347[/C][C]0.314791413373287[/C][/ROW]
[ROW][C]0.54[/C][C]46.005137956711[/C][C]0.322077840637229[/C][/ROW]
[ROW][C]0.55[/C][C]46.0647266742532[/C][C]0.325299068521635[/C][/ROW]
[ROW][C]0.56[/C][C]46.1245357088215[/C][C]0.32413983013866[/C][/ROW]
[ROW][C]0.57[/C][C]46.1837882973082[/C][C]0.318452185239545[/C][/ROW]
[ROW][C]0.58[/C][C]46.2417383368336[/C][C]0.308664036364808[/C][/ROW]
[ROW][C]0.59[/C][C]46.2977218167988[/C][C]0.295327693346905[/C][/ROW]
[ROW][C]0.6[/C][C]46.3512028047016[/C][C]0.27914967167293[/C][/ROW]
[ROW][C]0.61[/C][C]46.4018087065217[/C][C]0.261247557218232[/C][/ROW]
[ROW][C]0.62[/C][C]46.4493513256407[/C][C]0.242764891317533[/C][/ROW]
[ROW][C]0.63[/C][C]46.4938330832503[/C][C]0.224669189850268[/C][/ROW]
[ROW][C]0.64[/C][C]46.5354408444705[/C][C]0.207949816919442[/C][/ROW]
[ROW][C]0.65[/C][C]46.5745321225811[/C][C]0.193477083615125[/C][/ROW]
[ROW][C]0.66[/C][C]46.6116191147829[/C][C]0.181950150297446[/C][/ROW]
[ROW][C]0.67[/C][C]46.6473545655194[/C][C]0.174004309869073[/C][/ROW]
[ROW][C]0.68[/C][C]46.6825199858065[/C][C]0.170189798766114[/C][/ROW]
[ROW][C]0.69[/C][C]46.7180121032054[/C][C]0.171051722560267[/C][/ROW]
[ROW][C]0.7[/C][C]46.7548190074287[/C][C]0.177143872749812[/C][/ROW]
[ROW][C]0.71[/C][C]46.7939750662836[/C][C]0.188673923704836[/C][/ROW]
[ROW][C]0.72[/C][C]46.8364850049148[/C][C]0.205258451201203[/C][/ROW]
[ROW][C]0.73[/C][C]46.883213600037[/C][C]0.226052701185684[/C][/ROW]
[ROW][C]0.74[/C][C]46.9347479980483[/C][C]0.249235860532512[/C][/ROW]
[ROW][C]0.75[/C][C]46.9912527439263[/C][C]0.272301410843124[/C][/ROW]
[ROW][C]0.76[/C][C]47.0523494788779[/C][C]0.292377846779524[/C][/ROW]
[ROW][C]0.77[/C][C]47.1170591584991[/C][C]0.306393334863289[/C][/ROW]
[ROW][C]0.78[/C][C]47.1838402395066[/C][C]0.311678885962191[/C][/ROW]
[ROW][C]0.79[/C][C]47.2507396559662[/C][C]0.306635820214241[/C][/ROW]
[ROW][C]0.8[/C][C]47.3156466595804[/C][C]0.291021388763187[/C][/ROW]
[ROW][C]0.81[/C][C]47.376609256381[/C][C]0.266176447350651[/C][/ROW]
[ROW][C]0.82[/C][C]47.4321484931274[/C][C]0.234849858901406[/C][/ROW]
[ROW][C]0.83[/C][C]47.4814964677789[/C][C]0.200789250868018[/C][/ROW]
[ROW][C]0.84[/C][C]47.5246950390171[/C][C]0.168017559482204[/C][/ROW]
[ROW][C]0.85[/C][C]47.5625229607934[/C][C]0.1401175034927[/C][/ROW]
[ROW][C]0.86[/C][C]47.5962628064599[/C][C]0.119455925636788[/C][/ROW]
[ROW][C]0.87[/C][C]47.6273656300742[/C][C]0.106653650301123[/C][/ROW]
[ROW][C]0.88[/C][C]47.6571109111773[/C][C]0.10006580894936[/C][/ROW]
[ROW][C]0.89[/C][C]47.6863826569257[/C][C]0.0966529116970863[/C][/ROW]
[ROW][C]0.9[/C][C]47.7156773996956[/C][C]0.0935530573876107[/C][/ROW]
[ROW][C]0.91[/C][C]47.7454063175495[/C][C]0.0894631388527818[/C][/ROW]
[ROW][C]0.92[/C][C]47.7764275041954[/C][C]0.0856585149118223[/C][/ROW]
[ROW][C]0.93[/C][C]47.8105414285524[/C][C]0.08620982089879[/C][/ROW]
[ROW][C]0.94[/C][C]47.8504696641126[/C][C]0.0954821191855538[/C][/ROW]
[ROW][C]0.95[/C][C]47.8988017030167[/C][C]0.112440143283744[/C][/ROW]
[ROW][C]0.96[/C][C]47.9558152044346[/C][C]0.127541918559921[/C][/ROW]
[ROW][C]0.97[/C][C]48.0170953274817[/C][C]0.126285069454468[/C][/ROW]
[ROW][C]0.98[/C][C]48.073065233314[/C][C]0.0979665739952042[/C][/ROW]
[ROW][C]0.99[/C][C]48.1125655400773[/C][C]0.0487083377408221[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153506&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153506&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
0.0136.70694090797360.0729223337820878
0.0236.74738860371710.0681281555351913
0.0336.79378990210640.0944475105428575
0.0436.84740532183610.136977453370259
0.0536.91048801672360.175219544569047
0.0636.98153122966290.198155477559077
0.0737.05624979579990.205102254060411
0.0837.13079094075770.204667293743649
0.0937.20447261341560.21382037205908
0.137.28123787924540.256299227248827
0.1137.3699478126620.355041498244267
0.1237.48375917975370.524169651963373
0.1337.63868454670060.769298836081372
0.1437.85137052510561.08625492823919
0.1538.13626688361261.45811637607665
0.1638.50262071950281.8546317208796
0.1738.95195157832972.23585675181217
0.1839.47669367570372.55862962206492
0.1940.06046982418092.78509838253223
0.240.68004785114862.89018830532505
0.2141.30857332010732.86615094805367
0.2241.91933968101582.72288745619664
0.2342.48925988860732.48493816965344
0.2443.00135551160022.18528069530364
0.2543.44590240064151.8588699488892
0.2643.82024060706421.53666631264929
0.2744.12755278072621.24218741410347
0.2844.37507039338540.989757974706316
0.2944.57217229664020.78512217067484
0.344.72873432086880.626974950067043
0.3144.85393192570560.509588001683368
0.3244.95554594480850.424378494018452
0.3345.0397098764090.362881719826191
0.3445.1109781436190.31732849320573
0.3545.17258228465780.282189946412113
0.3645.22676076463090.253766968729376
0.3745.27508130192330.230072157288232
0.3845.31870918300570.21028054517194
0.3945.35860330608960.194387380033357
0.445.3956408313020.182591705817326
0.4145.43068180696980.175228458051304
0.4245.46458908580830.172634794391536
0.4345.49821867139320.174746057873897
0.4445.53239337279390.181358951096608
0.4545.5678696584420.191903037322036
0.4645.60530463989030.205507539443802
0.4745.64522751571880.221512830793404
0.4845.68801769595680.238823540012442
0.4945.73389028232760.256565462062848
0.545.78288866581660.273943900555279
0.5145.83488374317580.289979055789876
0.5245.88957955626480.30383050283722
0.5345.94652577143470.314791413373287
0.5446.0051379567110.322077840637229
0.5546.06472667425320.325299068521635
0.5646.12453570882150.32413983013866
0.5746.18378829730820.318452185239545
0.5846.24173833683360.308664036364808
0.5946.29772181679880.295327693346905
0.646.35120280470160.27914967167293
0.6146.40180870652170.261247557218232
0.6246.44935132564070.242764891317533
0.6346.49383308325030.224669189850268
0.6446.53544084447050.207949816919442
0.6546.57453212258110.193477083615125
0.6646.61161911478290.181950150297446
0.6746.64735456551940.174004309869073
0.6846.68251998580650.170189798766114
0.6946.71801210320540.171051722560267
0.746.75481900742870.177143872749812
0.7146.79397506628360.188673923704836
0.7246.83648500491480.205258451201203
0.7346.8832136000370.226052701185684
0.7446.93474799804830.249235860532512
0.7546.99125274392630.272301410843124
0.7647.05234947887790.292377846779524
0.7747.11705915849910.306393334863289
0.7847.18384023950660.311678885962191
0.7947.25073965596620.306635820214241
0.847.31564665958040.291021388763187
0.8147.3766092563810.266176447350651
0.8247.43214849312740.234849858901406
0.8347.48149646777890.200789250868018
0.8447.52469503901710.168017559482204
0.8547.56252296079340.1401175034927
0.8647.59626280645990.119455925636788
0.8747.62736563007420.106653650301123
0.8847.65711091117730.10006580894936
0.8947.68638265692570.0966529116970863
0.947.71567739969560.0935530573876107
0.9147.74540631754950.0894631388527818
0.9247.77642750419540.0856585149118223
0.9347.81054142855240.08620982089879
0.9447.85046966411260.0954821191855538
0.9547.89880170301670.112440143283744
0.9647.95581520443460.127541918559921
0.9748.01709532748170.126285069454468
0.9848.0730652333140.0979665739952042
0.9948.11256554007730.0487083377408221


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')