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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 computationSun, 02 Mar 2008 14:08:52 -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/Mar/02/t1204492192opmom6ecz245yzw.htm/, Retrieved Mon, 06 May 2024 15:07:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9754, Retrieved Mon, 06 May 2024 15:07:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [2000-2005 - Gemid...] [2008-03-02 21:08:52] [f12139c84a7390b2232de02c02cfb50d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11.98
11.79
11.66
11.96
11.83
12.36
12.53
12.55
12.53
12.24
12.34
12.05
12.22
12.23
11.92
12.13
12.1
12.15
12.23
12.08
12.02
11.93
12.16
11.87
11.93
11.79
11.43
11.63
11.93
11.89
11.83
11.59
12.04
11.81
11.9
11.72
11.91
11.94
11.91
11.84
12.01
11.89
11.8
11.7
11.5
11.76
11.61
11.27
11.64
11.39
11.54
11.62
11.59
11.44
11.31
11.56
11.4
11.51
11.5
11.24
11.8
11.87
11.86
12.11
11.92
12.61
13.34
13.31
13.47
13.24
13.18
13.3

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9754&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9754&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9754&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111.25285089266730.0352935554931987
0.0211.27557890914760.0470719484844055
0.0311.30355536520500.0573309083912712
0.0411.33288305539020.0615045517886038
0.0511.36103802633600.0604861137946406
0.0611.3867514511930.0574183385614775
0.0711.40976017292280.0548137418547929
0.0811.43041303795040.0534811366128254
0.0911.44925908123840.0530331680825051
0.111.46677879774070.0528408069844739
0.1111.48329441737810.0525954078605436
0.1211.49899357517020.0522512725710484
0.1311.51398610803710.0518543310403988
0.1411.52834854902120.0514641349367139
0.1511.54214748903800.0510966575136998
0.1611.55545055530620.0507646829531551
0.1711.56833430134220.0505867792066687
0.1811.58089182531680.0506882055886385
0.1911.59323748794240.0513000987792382
0.211.60550478086080.0525701705661925
0.2111.61783549944040.0545258772205056
0.2211.63036172022090.0570946116645273
0.2311.64318475673600.060014760476648
0.2411.65635632175050.062985159599846
0.2511.66986652020370.0656057379351527
0.2611.68364152746970.0675657986236715
0.2711.69755153260830.0685967039949896
0.2811.71142735137690.0685600028450928
0.2911.72508248880970.0674209389568241
0.311.73833661747770.0652912111694242
0.3111.75103650251760.0623879375110113
0.3211.76307123519390.0589842497549014
0.3311.77437997813690.0553638741165523
0.3411.78495194512710.0518077294449295
0.3511.79481970638690.0485538038969282
0.3611.80404787338040.0457340732829568
0.3711.81271964664660.0434258679181102
0.3811.82092361381590.0415782224776099
0.3911.82874268172640.0401363292312595
0.411.83624629864790.0389884941235421
0.4111.84348636068340.0380177078330227
0.4211.85049655431810.0371099896109635
0.4311.85729445582730.0361899467095908
0.4411.86388551115100.035212878821689
0.4511.87026802471170.0341609820262981
0.4611.87643842650950.0330349304929707
0.4711.88239628734970.0318820913887072
0.4811.88814874509680.030732834549175
0.4911.89371414513990.0297112359722984
0.511.89912476774320.0288600315340321
0.5111.90442852178410.0283083247852118
0.5211.90968945692780.0281337240122368
0.5311.91498692383300.0284450773641436
0.5411.92041323349720.0293183092186921
0.5511.92606975955000.0307878081610971
0.5611.93206159731300.0328811585117467
0.5711.93849112086660.0355224344169429
0.5811.94545101999640.0386201447800755
0.5911.95301759338790.0420524317281095
0.611.96124516357590.0456597569597271
0.6111.97016242146510.0492788109359919
0.6211.97977129461020.0527587029472578
0.6311.99004859340420.0559501181615993
0.6412.00095028609070.0587566988252349
0.6512.01241786890380.0611228180194854
0.6612.02438601184940.0630529855691967
0.6712.03679053412150.064555769872461
0.6812.04957582605510.0657131688406918
0.6912.06270108475690.0666140806068936
0.712.07614513573440.0673796340138058
0.7112.08991010871740.0681154615307881
0.7212.10402471793520.0689466664691585
0.7312.11854821204750.0699996828225961
0.7412.13357601613640.0714148701285686
0.7512.14924751719290.0733409999841117
0.7612.16575531306610.0760362470388816
0.7712.18335381555090.0797315736701141
0.7812.20236404690340.0847379496894188
0.7912.22317183000880.0912948953424119
0.812.24621936234510.0995558546171808
0.8112.27199560880040.109493581382906
0.8212.30103745883600.12093493299636
0.8312.33395700150060.133743639989168
0.8412.37150425713750.148077232215572
0.8512.41465347742160.164620421891293
0.8612.46466476063530.184649678140003
0.8712.52303356526910.209469049490867
0.8812.59122617418580.239238687087986
0.8912.67014426001250.271533733493562
0.912.75938681901590.300639801540686
0.9112.85655805346390.318376419964766
0.9212.95701838359490.316625706435065
0.9313.05447050906920.290844167225598
0.9413.14253415814200.243133538260038
0.9513.21702891925540.183012207488255
0.9613.27815518539530.125212004709537
0.9713.33110670540280.0866321865224875
0.9813.38287770219230.0820505407335199
0.9913.43383937274660.104750343513433

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.2528508926673 & 0.0352935554931987 \tabularnewline
0.02 & 11.2755789091476 & 0.0470719484844055 \tabularnewline
0.03 & 11.3035553652050 & 0.0573309083912712 \tabularnewline
0.04 & 11.3328830553902 & 0.0615045517886038 \tabularnewline
0.05 & 11.3610380263360 & 0.0604861137946406 \tabularnewline
0.06 & 11.386751451193 & 0.0574183385614775 \tabularnewline
0.07 & 11.4097601729228 & 0.0548137418547929 \tabularnewline
0.08 & 11.4304130379504 & 0.0534811366128254 \tabularnewline
0.09 & 11.4492590812384 & 0.0530331680825051 \tabularnewline
0.1 & 11.4667787977407 & 0.0528408069844739 \tabularnewline
0.11 & 11.4832944173781 & 0.0525954078605436 \tabularnewline
0.12 & 11.4989935751702 & 0.0522512725710484 \tabularnewline
0.13 & 11.5139861080371 & 0.0518543310403988 \tabularnewline
0.14 & 11.5283485490212 & 0.0514641349367139 \tabularnewline
0.15 & 11.5421474890380 & 0.0510966575136998 \tabularnewline
0.16 & 11.5554505553062 & 0.0507646829531551 \tabularnewline
0.17 & 11.5683343013422 & 0.0505867792066687 \tabularnewline
0.18 & 11.5808918253168 & 0.0506882055886385 \tabularnewline
0.19 & 11.5932374879424 & 0.0513000987792382 \tabularnewline
0.2 & 11.6055047808608 & 0.0525701705661925 \tabularnewline
0.21 & 11.6178354994404 & 0.0545258772205056 \tabularnewline
0.22 & 11.6303617202209 & 0.0570946116645273 \tabularnewline
0.23 & 11.6431847567360 & 0.060014760476648 \tabularnewline
0.24 & 11.6563563217505 & 0.062985159599846 \tabularnewline
0.25 & 11.6698665202037 & 0.0656057379351527 \tabularnewline
0.26 & 11.6836415274697 & 0.0675657986236715 \tabularnewline
0.27 & 11.6975515326083 & 0.0685967039949896 \tabularnewline
0.28 & 11.7114273513769 & 0.0685600028450928 \tabularnewline
0.29 & 11.7250824888097 & 0.0674209389568241 \tabularnewline
0.3 & 11.7383366174777 & 0.0652912111694242 \tabularnewline
0.31 & 11.7510365025176 & 0.0623879375110113 \tabularnewline
0.32 & 11.7630712351939 & 0.0589842497549014 \tabularnewline
0.33 & 11.7743799781369 & 0.0553638741165523 \tabularnewline
0.34 & 11.7849519451271 & 0.0518077294449295 \tabularnewline
0.35 & 11.7948197063869 & 0.0485538038969282 \tabularnewline
0.36 & 11.8040478733804 & 0.0457340732829568 \tabularnewline
0.37 & 11.8127196466466 & 0.0434258679181102 \tabularnewline
0.38 & 11.8209236138159 & 0.0415782224776099 \tabularnewline
0.39 & 11.8287426817264 & 0.0401363292312595 \tabularnewline
0.4 & 11.8362462986479 & 0.0389884941235421 \tabularnewline
0.41 & 11.8434863606834 & 0.0380177078330227 \tabularnewline
0.42 & 11.8504965543181 & 0.0371099896109635 \tabularnewline
0.43 & 11.8572944558273 & 0.0361899467095908 \tabularnewline
0.44 & 11.8638855111510 & 0.035212878821689 \tabularnewline
0.45 & 11.8702680247117 & 0.0341609820262981 \tabularnewline
0.46 & 11.8764384265095 & 0.0330349304929707 \tabularnewline
0.47 & 11.8823962873497 & 0.0318820913887072 \tabularnewline
0.48 & 11.8881487450968 & 0.030732834549175 \tabularnewline
0.49 & 11.8937141451399 & 0.0297112359722984 \tabularnewline
0.5 & 11.8991247677432 & 0.0288600315340321 \tabularnewline
0.51 & 11.9044285217841 & 0.0283083247852118 \tabularnewline
0.52 & 11.9096894569278 & 0.0281337240122368 \tabularnewline
0.53 & 11.9149869238330 & 0.0284450773641436 \tabularnewline
0.54 & 11.9204132334972 & 0.0293183092186921 \tabularnewline
0.55 & 11.9260697595500 & 0.0307878081610971 \tabularnewline
0.56 & 11.9320615973130 & 0.0328811585117467 \tabularnewline
0.57 & 11.9384911208666 & 0.0355224344169429 \tabularnewline
0.58 & 11.9454510199964 & 0.0386201447800755 \tabularnewline
0.59 & 11.9530175933879 & 0.0420524317281095 \tabularnewline
0.6 & 11.9612451635759 & 0.0456597569597271 \tabularnewline
0.61 & 11.9701624214651 & 0.0492788109359919 \tabularnewline
0.62 & 11.9797712946102 & 0.0527587029472578 \tabularnewline
0.63 & 11.9900485934042 & 0.0559501181615993 \tabularnewline
0.64 & 12.0009502860907 & 0.0587566988252349 \tabularnewline
0.65 & 12.0124178689038 & 0.0611228180194854 \tabularnewline
0.66 & 12.0243860118494 & 0.0630529855691967 \tabularnewline
0.67 & 12.0367905341215 & 0.064555769872461 \tabularnewline
0.68 & 12.0495758260551 & 0.0657131688406918 \tabularnewline
0.69 & 12.0627010847569 & 0.0666140806068936 \tabularnewline
0.7 & 12.0761451357344 & 0.0673796340138058 \tabularnewline
0.71 & 12.0899101087174 & 0.0681154615307881 \tabularnewline
0.72 & 12.1040247179352 & 0.0689466664691585 \tabularnewline
0.73 & 12.1185482120475 & 0.0699996828225961 \tabularnewline
0.74 & 12.1335760161364 & 0.0714148701285686 \tabularnewline
0.75 & 12.1492475171929 & 0.0733409999841117 \tabularnewline
0.76 & 12.1657553130661 & 0.0760362470388816 \tabularnewline
0.77 & 12.1833538155509 & 0.0797315736701141 \tabularnewline
0.78 & 12.2023640469034 & 0.0847379496894188 \tabularnewline
0.79 & 12.2231718300088 & 0.0912948953424119 \tabularnewline
0.8 & 12.2462193623451 & 0.0995558546171808 \tabularnewline
0.81 & 12.2719956088004 & 0.109493581382906 \tabularnewline
0.82 & 12.3010374588360 & 0.12093493299636 \tabularnewline
0.83 & 12.3339570015006 & 0.133743639989168 \tabularnewline
0.84 & 12.3715042571375 & 0.148077232215572 \tabularnewline
0.85 & 12.4146534774216 & 0.164620421891293 \tabularnewline
0.86 & 12.4646647606353 & 0.184649678140003 \tabularnewline
0.87 & 12.5230335652691 & 0.209469049490867 \tabularnewline
0.88 & 12.5912261741858 & 0.239238687087986 \tabularnewline
0.89 & 12.6701442600125 & 0.271533733493562 \tabularnewline
0.9 & 12.7593868190159 & 0.300639801540686 \tabularnewline
0.91 & 12.8565580534639 & 0.318376419964766 \tabularnewline
0.92 & 12.9570183835949 & 0.316625706435065 \tabularnewline
0.93 & 13.0544705090692 & 0.290844167225598 \tabularnewline
0.94 & 13.1425341581420 & 0.243133538260038 \tabularnewline
0.95 & 13.2170289192554 & 0.183012207488255 \tabularnewline
0.96 & 13.2781551853953 & 0.125212004709537 \tabularnewline
0.97 & 13.3311067054028 & 0.0866321865224875 \tabularnewline
0.98 & 13.3828777021923 & 0.0820505407335199 \tabularnewline
0.99 & 13.4338393727466 & 0.104750343513433 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9754&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]11.2528508926673[/C][C]0.0352935554931987[/C][/ROW]
[ROW][C]0.02[/C][C]11.2755789091476[/C][C]0.0470719484844055[/C][/ROW]
[ROW][C]0.03[/C][C]11.3035553652050[/C][C]0.0573309083912712[/C][/ROW]
[ROW][C]0.04[/C][C]11.3328830553902[/C][C]0.0615045517886038[/C][/ROW]
[ROW][C]0.05[/C][C]11.3610380263360[/C][C]0.0604861137946406[/C][/ROW]
[ROW][C]0.06[/C][C]11.386751451193[/C][C]0.0574183385614775[/C][/ROW]
[ROW][C]0.07[/C][C]11.4097601729228[/C][C]0.0548137418547929[/C][/ROW]
[ROW][C]0.08[/C][C]11.4304130379504[/C][C]0.0534811366128254[/C][/ROW]
[ROW][C]0.09[/C][C]11.4492590812384[/C][C]0.0530331680825051[/C][/ROW]
[ROW][C]0.1[/C][C]11.4667787977407[/C][C]0.0528408069844739[/C][/ROW]
[ROW][C]0.11[/C][C]11.4832944173781[/C][C]0.0525954078605436[/C][/ROW]
[ROW][C]0.12[/C][C]11.4989935751702[/C][C]0.0522512725710484[/C][/ROW]
[ROW][C]0.13[/C][C]11.5139861080371[/C][C]0.0518543310403988[/C][/ROW]
[ROW][C]0.14[/C][C]11.5283485490212[/C][C]0.0514641349367139[/C][/ROW]
[ROW][C]0.15[/C][C]11.5421474890380[/C][C]0.0510966575136998[/C][/ROW]
[ROW][C]0.16[/C][C]11.5554505553062[/C][C]0.0507646829531551[/C][/ROW]
[ROW][C]0.17[/C][C]11.5683343013422[/C][C]0.0505867792066687[/C][/ROW]
[ROW][C]0.18[/C][C]11.5808918253168[/C][C]0.0506882055886385[/C][/ROW]
[ROW][C]0.19[/C][C]11.5932374879424[/C][C]0.0513000987792382[/C][/ROW]
[ROW][C]0.2[/C][C]11.6055047808608[/C][C]0.0525701705661925[/C][/ROW]
[ROW][C]0.21[/C][C]11.6178354994404[/C][C]0.0545258772205056[/C][/ROW]
[ROW][C]0.22[/C][C]11.6303617202209[/C][C]0.0570946116645273[/C][/ROW]
[ROW][C]0.23[/C][C]11.6431847567360[/C][C]0.060014760476648[/C][/ROW]
[ROW][C]0.24[/C][C]11.6563563217505[/C][C]0.062985159599846[/C][/ROW]
[ROW][C]0.25[/C][C]11.6698665202037[/C][C]0.0656057379351527[/C][/ROW]
[ROW][C]0.26[/C][C]11.6836415274697[/C][C]0.0675657986236715[/C][/ROW]
[ROW][C]0.27[/C][C]11.6975515326083[/C][C]0.0685967039949896[/C][/ROW]
[ROW][C]0.28[/C][C]11.7114273513769[/C][C]0.0685600028450928[/C][/ROW]
[ROW][C]0.29[/C][C]11.7250824888097[/C][C]0.0674209389568241[/C][/ROW]
[ROW][C]0.3[/C][C]11.7383366174777[/C][C]0.0652912111694242[/C][/ROW]
[ROW][C]0.31[/C][C]11.7510365025176[/C][C]0.0623879375110113[/C][/ROW]
[ROW][C]0.32[/C][C]11.7630712351939[/C][C]0.0589842497549014[/C][/ROW]
[ROW][C]0.33[/C][C]11.7743799781369[/C][C]0.0553638741165523[/C][/ROW]
[ROW][C]0.34[/C][C]11.7849519451271[/C][C]0.0518077294449295[/C][/ROW]
[ROW][C]0.35[/C][C]11.7948197063869[/C][C]0.0485538038969282[/C][/ROW]
[ROW][C]0.36[/C][C]11.8040478733804[/C][C]0.0457340732829568[/C][/ROW]
[ROW][C]0.37[/C][C]11.8127196466466[/C][C]0.0434258679181102[/C][/ROW]
[ROW][C]0.38[/C][C]11.8209236138159[/C][C]0.0415782224776099[/C][/ROW]
[ROW][C]0.39[/C][C]11.8287426817264[/C][C]0.0401363292312595[/C][/ROW]
[ROW][C]0.4[/C][C]11.8362462986479[/C][C]0.0389884941235421[/C][/ROW]
[ROW][C]0.41[/C][C]11.8434863606834[/C][C]0.0380177078330227[/C][/ROW]
[ROW][C]0.42[/C][C]11.8504965543181[/C][C]0.0371099896109635[/C][/ROW]
[ROW][C]0.43[/C][C]11.8572944558273[/C][C]0.0361899467095908[/C][/ROW]
[ROW][C]0.44[/C][C]11.8638855111510[/C][C]0.035212878821689[/C][/ROW]
[ROW][C]0.45[/C][C]11.8702680247117[/C][C]0.0341609820262981[/C][/ROW]
[ROW][C]0.46[/C][C]11.8764384265095[/C][C]0.0330349304929707[/C][/ROW]
[ROW][C]0.47[/C][C]11.8823962873497[/C][C]0.0318820913887072[/C][/ROW]
[ROW][C]0.48[/C][C]11.8881487450968[/C][C]0.030732834549175[/C][/ROW]
[ROW][C]0.49[/C][C]11.8937141451399[/C][C]0.0297112359722984[/C][/ROW]
[ROW][C]0.5[/C][C]11.8991247677432[/C][C]0.0288600315340321[/C][/ROW]
[ROW][C]0.51[/C][C]11.9044285217841[/C][C]0.0283083247852118[/C][/ROW]
[ROW][C]0.52[/C][C]11.9096894569278[/C][C]0.0281337240122368[/C][/ROW]
[ROW][C]0.53[/C][C]11.9149869238330[/C][C]0.0284450773641436[/C][/ROW]
[ROW][C]0.54[/C][C]11.9204132334972[/C][C]0.0293183092186921[/C][/ROW]
[ROW][C]0.55[/C][C]11.9260697595500[/C][C]0.0307878081610971[/C][/ROW]
[ROW][C]0.56[/C][C]11.9320615973130[/C][C]0.0328811585117467[/C][/ROW]
[ROW][C]0.57[/C][C]11.9384911208666[/C][C]0.0355224344169429[/C][/ROW]
[ROW][C]0.58[/C][C]11.9454510199964[/C][C]0.0386201447800755[/C][/ROW]
[ROW][C]0.59[/C][C]11.9530175933879[/C][C]0.0420524317281095[/C][/ROW]
[ROW][C]0.6[/C][C]11.9612451635759[/C][C]0.0456597569597271[/C][/ROW]
[ROW][C]0.61[/C][C]11.9701624214651[/C][C]0.0492788109359919[/C][/ROW]
[ROW][C]0.62[/C][C]11.9797712946102[/C][C]0.0527587029472578[/C][/ROW]
[ROW][C]0.63[/C][C]11.9900485934042[/C][C]0.0559501181615993[/C][/ROW]
[ROW][C]0.64[/C][C]12.0009502860907[/C][C]0.0587566988252349[/C][/ROW]
[ROW][C]0.65[/C][C]12.0124178689038[/C][C]0.0611228180194854[/C][/ROW]
[ROW][C]0.66[/C][C]12.0243860118494[/C][C]0.0630529855691967[/C][/ROW]
[ROW][C]0.67[/C][C]12.0367905341215[/C][C]0.064555769872461[/C][/ROW]
[ROW][C]0.68[/C][C]12.0495758260551[/C][C]0.0657131688406918[/C][/ROW]
[ROW][C]0.69[/C][C]12.0627010847569[/C][C]0.0666140806068936[/C][/ROW]
[ROW][C]0.7[/C][C]12.0761451357344[/C][C]0.0673796340138058[/C][/ROW]
[ROW][C]0.71[/C][C]12.0899101087174[/C][C]0.0681154615307881[/C][/ROW]
[ROW][C]0.72[/C][C]12.1040247179352[/C][C]0.0689466664691585[/C][/ROW]
[ROW][C]0.73[/C][C]12.1185482120475[/C][C]0.0699996828225961[/C][/ROW]
[ROW][C]0.74[/C][C]12.1335760161364[/C][C]0.0714148701285686[/C][/ROW]
[ROW][C]0.75[/C][C]12.1492475171929[/C][C]0.0733409999841117[/C][/ROW]
[ROW][C]0.76[/C][C]12.1657553130661[/C][C]0.0760362470388816[/C][/ROW]
[ROW][C]0.77[/C][C]12.1833538155509[/C][C]0.0797315736701141[/C][/ROW]
[ROW][C]0.78[/C][C]12.2023640469034[/C][C]0.0847379496894188[/C][/ROW]
[ROW][C]0.79[/C][C]12.2231718300088[/C][C]0.0912948953424119[/C][/ROW]
[ROW][C]0.8[/C][C]12.2462193623451[/C][C]0.0995558546171808[/C][/ROW]
[ROW][C]0.81[/C][C]12.2719956088004[/C][C]0.109493581382906[/C][/ROW]
[ROW][C]0.82[/C][C]12.3010374588360[/C][C]0.12093493299636[/C][/ROW]
[ROW][C]0.83[/C][C]12.3339570015006[/C][C]0.133743639989168[/C][/ROW]
[ROW][C]0.84[/C][C]12.3715042571375[/C][C]0.148077232215572[/C][/ROW]
[ROW][C]0.85[/C][C]12.4146534774216[/C][C]0.164620421891293[/C][/ROW]
[ROW][C]0.86[/C][C]12.4646647606353[/C][C]0.184649678140003[/C][/ROW]
[ROW][C]0.87[/C][C]12.5230335652691[/C][C]0.209469049490867[/C][/ROW]
[ROW][C]0.88[/C][C]12.5912261741858[/C][C]0.239238687087986[/C][/ROW]
[ROW][C]0.89[/C][C]12.6701442600125[/C][C]0.271533733493562[/C][/ROW]
[ROW][C]0.9[/C][C]12.7593868190159[/C][C]0.300639801540686[/C][/ROW]
[ROW][C]0.91[/C][C]12.8565580534639[/C][C]0.318376419964766[/C][/ROW]
[ROW][C]0.92[/C][C]12.9570183835949[/C][C]0.316625706435065[/C][/ROW]
[ROW][C]0.93[/C][C]13.0544705090692[/C][C]0.290844167225598[/C][/ROW]
[ROW][C]0.94[/C][C]13.1425341581420[/C][C]0.243133538260038[/C][/ROW]
[ROW][C]0.95[/C][C]13.2170289192554[/C][C]0.183012207488255[/C][/ROW]
[ROW][C]0.96[/C][C]13.2781551853953[/C][C]0.125212004709537[/C][/ROW]
[ROW][C]0.97[/C][C]13.3311067054028[/C][C]0.0866321865224875[/C][/ROW]
[ROW][C]0.98[/C][C]13.3828777021923[/C][C]0.0820505407335199[/C][/ROW]
[ROW][C]0.99[/C][C]13.4338393727466[/C][C]0.104750343513433[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9754&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9754&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
0.0111.25285089266730.0352935554931987
0.0211.27557890914760.0470719484844055
0.0311.30355536520500.0573309083912712
0.0411.33288305539020.0615045517886038
0.0511.36103802633600.0604861137946406
0.0611.3867514511930.0574183385614775
0.0711.40976017292280.0548137418547929
0.0811.43041303795040.0534811366128254
0.0911.44925908123840.0530331680825051
0.111.46677879774070.0528408069844739
0.1111.48329441737810.0525954078605436
0.1211.49899357517020.0522512725710484
0.1311.51398610803710.0518543310403988
0.1411.52834854902120.0514641349367139
0.1511.54214748903800.0510966575136998
0.1611.55545055530620.0507646829531551
0.1711.56833430134220.0505867792066687
0.1811.58089182531680.0506882055886385
0.1911.59323748794240.0513000987792382
0.211.60550478086080.0525701705661925
0.2111.61783549944040.0545258772205056
0.2211.63036172022090.0570946116645273
0.2311.64318475673600.060014760476648
0.2411.65635632175050.062985159599846
0.2511.66986652020370.0656057379351527
0.2611.68364152746970.0675657986236715
0.2711.69755153260830.0685967039949896
0.2811.71142735137690.0685600028450928
0.2911.72508248880970.0674209389568241
0.311.73833661747770.0652912111694242
0.3111.75103650251760.0623879375110113
0.3211.76307123519390.0589842497549014
0.3311.77437997813690.0553638741165523
0.3411.78495194512710.0518077294449295
0.3511.79481970638690.0485538038969282
0.3611.80404787338040.0457340732829568
0.3711.81271964664660.0434258679181102
0.3811.82092361381590.0415782224776099
0.3911.82874268172640.0401363292312595
0.411.83624629864790.0389884941235421
0.4111.84348636068340.0380177078330227
0.4211.85049655431810.0371099896109635
0.4311.85729445582730.0361899467095908
0.4411.86388551115100.035212878821689
0.4511.87026802471170.0341609820262981
0.4611.87643842650950.0330349304929707
0.4711.88239628734970.0318820913887072
0.4811.88814874509680.030732834549175
0.4911.89371414513990.0297112359722984
0.511.89912476774320.0288600315340321
0.5111.90442852178410.0283083247852118
0.5211.90968945692780.0281337240122368
0.5311.91498692383300.0284450773641436
0.5411.92041323349720.0293183092186921
0.5511.92606975955000.0307878081610971
0.5611.93206159731300.0328811585117467
0.5711.93849112086660.0355224344169429
0.5811.94545101999640.0386201447800755
0.5911.95301759338790.0420524317281095
0.611.96124516357590.0456597569597271
0.6111.97016242146510.0492788109359919
0.6211.97977129461020.0527587029472578
0.6311.99004859340420.0559501181615993
0.6412.00095028609070.0587566988252349
0.6512.01241786890380.0611228180194854
0.6612.02438601184940.0630529855691967
0.6712.03679053412150.064555769872461
0.6812.04957582605510.0657131688406918
0.6912.06270108475690.0666140806068936
0.712.07614513573440.0673796340138058
0.7112.08991010871740.0681154615307881
0.7212.10402471793520.0689466664691585
0.7312.11854821204750.0699996828225961
0.7412.13357601613640.0714148701285686
0.7512.14924751719290.0733409999841117
0.7612.16575531306610.0760362470388816
0.7712.18335381555090.0797315736701141
0.7812.20236404690340.0847379496894188
0.7912.22317183000880.0912948953424119
0.812.24621936234510.0995558546171808
0.8112.27199560880040.109493581382906
0.8212.30103745883600.12093493299636
0.8312.33395700150060.133743639989168
0.8412.37150425713750.148077232215572
0.8512.41465347742160.164620421891293
0.8612.46466476063530.184649678140003
0.8712.52303356526910.209469049490867
0.8812.59122617418580.239238687087986
0.8912.67014426001250.271533733493562
0.912.75938681901590.300639801540686
0.9112.85655805346390.318376419964766
0.9212.95701838359490.316625706435065
0.9313.05447050906920.290844167225598
0.9413.14253415814200.243133538260038
0.9513.21702891925540.183012207488255
0.9613.27815518539530.125212004709537
0.9713.33110670540280.0866321865224875
0.9813.38287770219230.0820505407335199
0.9913.43383937274660.104750343513433


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.10 ;
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')