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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 12:05:03 -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/t1204484733lifi2k9fcjevn01.htm/, Retrieved Mon, 06 May 2024 12:40:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9662, Retrieved Mon, 06 May 2024 12:40:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

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] [opgave 4, oefenin...] [2008-03-02 19:05:03] [3244ffc2cb3525df557e4a14321135d8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65
1.65
1.66
1.66
1.67
1.68
1.68
1.68
1.68
1.69
1.7
1.7
1.71
1.72
1.73
1.74
1.74
1.75
1.75
1.75
1.76
1.79
1.83

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9662&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]1 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=9662&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9662&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430000000037380
0.021.430000000824160
0.031.430000009256370
0.041.430000070030374.61669466578387e-07
0.051.430000399902232.27150859658348e-06
0.061.430001834247909.08603438633393e-06
0.071.430007028954443.18268747396509e-05
0.081.430023124593019.64407747591256e-05
0.091.430066634877230.000252592061877676
0.11.430170790353150.000586015699532372
0.111.430394181437750.00121766370708426
0.121.430827536730270.00229062566383315
0.131.431593820950940.0039267837498365
0.141.432836969951190.00617710827939926
0.151.434697488722780.00896664123762089
0.161.437278390651450.0120650725127551
0.171.44061042444880.0151123070239327
0.181.444628298947210.0176832122507991
0.191.449167654779170.0193898450042546
0.21.453986113016080.0199789631249062
0.211.458803486467530.0193924052082719
0.221.463349802809620.017770597893139
0.231.467407848843410.0154044929449221
0.241.470839934128400.0126547583719564
0.251.473594698257920.0098670707038205
0.261.475696212457410.00731332313549815
0.271.477221956513670.00515942417211309
0.281.478277478523810.00346875589859302
0.291.478974112210940.00222537148312915
0.31.479413325195040.00136358484739511
0.311.479678455556190.00080069078425653
0.321.479832640112390.000453262321908338
0.331.479920899858840.000255879755291912
0.341.479974414311130.000164108743769862
0.351.480015578518190.000167225032739416
0.361.48006310955280.000264973463176895
0.371.480136999501560.000469783618690185
0.381.48026338470960.00082308760542206
0.391.480479401186580.0014014510425201
0.41.480837866839170.00229125386203057
0.411.481411253513800.00360692063280365
0.421.482294002440130.00546179990192643
0.431.483601947432260.00795581590276355
0.441.485467609498780.0111546691701104
0.451.488030552653870.0150597812613553
0.461.491422885278980.01958510213061
0.471.495751238604660.0245487583796153
0.481.501077862531620.0296715726597856
0.491.507404435402130.0346066373427475
0.51.514662378286290.0389764342662949
0.511.522712652067720.0424335420302767
0.521.531356253562390.0447134334258519
0.531.540354308113170.0456778045684717
0.541.549454413589110.0453338862552914
0.551.558418390771060.0438375403066148
0.561.567046298617220.0414481134454995
0.571.575192565066170.0384868120609038
0.581.582772046541780.0352836753722724
0.591.589756165491960.0321161816279753
0.61.596161329906830.0291881664625114
0.611.602033116396300.0266020699094764
0.621.607429994800530.0243752593883416
0.631.612409783112180.0224561871430635
0.641.617020851226640.0207636670473174
0.651.6212987217750.0192097428808290
0.661.625267487751830.0177331495481247
0.671.628944612700880.0163086024140193
0.681.632347299867630.0149427567146438
0.691.63549868512740.0136819549322051
0.71.638432496723070.0125834916452611
0.711.641195350069810.0117164894963824
0.721.643846337572380.0111401973849166
0.731.646453945121150.0108943386065639
0.741.649090615391810.010983988976592
0.751.651825610057610.011373790701314
0.761.654717303436060.0119867610465309
0.771.657806612188250.0127166063161117
0.781.661113642216180.0134490927536116
0.791.664639390143780.0140869751916751
0.81.668373171063080.0145812180411857
0.811.672304478588520.0149517600055520
0.821.676435883209320.0152730629137868
0.831.680792316931950.0156613616394121
0.841.685422431716830.0162170511417294
0.851.690389693655730.0169773376257974
0.861.695753760817050.0178886633284737
0.871.701545529903440.0188066304864872
0.881.707741481677490.0195168161175004
0.891.714244605446170.0197689941010310
0.91.720880337514150.0193426441737497
0.911.727416771916270.0181135226604065
0.921.733620132231960.0161373347990651
0.931.739361225529940.0137124874510929
0.941.744793079406580.0114891715883493
0.951.750605038013020.0106938290551121
0.961.758290963440250.0130174519416806
0.971.770197174669520.0189215614990375
0.981.788610401513270.0267121022909179
0.991.812128734687420.0342017769086023

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43000000003738 & 0 \tabularnewline
0.02 & 1.43000000082416 & 0 \tabularnewline
0.03 & 1.43000000925637 & 0 \tabularnewline
0.04 & 1.43000007003037 & 4.61669466578387e-07 \tabularnewline
0.05 & 1.43000039990223 & 2.27150859658348e-06 \tabularnewline
0.06 & 1.43000183424790 & 9.08603438633393e-06 \tabularnewline
0.07 & 1.43000702895444 & 3.18268747396509e-05 \tabularnewline
0.08 & 1.43002312459301 & 9.64407747591256e-05 \tabularnewline
0.09 & 1.43006663487723 & 0.000252592061877676 \tabularnewline
0.1 & 1.43017079035315 & 0.000586015699532372 \tabularnewline
0.11 & 1.43039418143775 & 0.00121766370708426 \tabularnewline
0.12 & 1.43082753673027 & 0.00229062566383315 \tabularnewline
0.13 & 1.43159382095094 & 0.0039267837498365 \tabularnewline
0.14 & 1.43283696995119 & 0.00617710827939926 \tabularnewline
0.15 & 1.43469748872278 & 0.00896664123762089 \tabularnewline
0.16 & 1.43727839065145 & 0.0120650725127551 \tabularnewline
0.17 & 1.4406104244488 & 0.0151123070239327 \tabularnewline
0.18 & 1.44462829894721 & 0.0176832122507991 \tabularnewline
0.19 & 1.44916765477917 & 0.0193898450042546 \tabularnewline
0.2 & 1.45398611301608 & 0.0199789631249062 \tabularnewline
0.21 & 1.45880348646753 & 0.0193924052082719 \tabularnewline
0.22 & 1.46334980280962 & 0.017770597893139 \tabularnewline
0.23 & 1.46740784884341 & 0.0154044929449221 \tabularnewline
0.24 & 1.47083993412840 & 0.0126547583719564 \tabularnewline
0.25 & 1.47359469825792 & 0.0098670707038205 \tabularnewline
0.26 & 1.47569621245741 & 0.00731332313549815 \tabularnewline
0.27 & 1.47722195651367 & 0.00515942417211309 \tabularnewline
0.28 & 1.47827747852381 & 0.00346875589859302 \tabularnewline
0.29 & 1.47897411221094 & 0.00222537148312915 \tabularnewline
0.3 & 1.47941332519504 & 0.00136358484739511 \tabularnewline
0.31 & 1.47967845555619 & 0.00080069078425653 \tabularnewline
0.32 & 1.47983264011239 & 0.000453262321908338 \tabularnewline
0.33 & 1.47992089985884 & 0.000255879755291912 \tabularnewline
0.34 & 1.47997441431113 & 0.000164108743769862 \tabularnewline
0.35 & 1.48001557851819 & 0.000167225032739416 \tabularnewline
0.36 & 1.4800631095528 & 0.000264973463176895 \tabularnewline
0.37 & 1.48013699950156 & 0.000469783618690185 \tabularnewline
0.38 & 1.4802633847096 & 0.00082308760542206 \tabularnewline
0.39 & 1.48047940118658 & 0.0014014510425201 \tabularnewline
0.4 & 1.48083786683917 & 0.00229125386203057 \tabularnewline
0.41 & 1.48141125351380 & 0.00360692063280365 \tabularnewline
0.42 & 1.48229400244013 & 0.00546179990192643 \tabularnewline
0.43 & 1.48360194743226 & 0.00795581590276355 \tabularnewline
0.44 & 1.48546760949878 & 0.0111546691701104 \tabularnewline
0.45 & 1.48803055265387 & 0.0150597812613553 \tabularnewline
0.46 & 1.49142288527898 & 0.01958510213061 \tabularnewline
0.47 & 1.49575123860466 & 0.0245487583796153 \tabularnewline
0.48 & 1.50107786253162 & 0.0296715726597856 \tabularnewline
0.49 & 1.50740443540213 & 0.0346066373427475 \tabularnewline
0.5 & 1.51466237828629 & 0.0389764342662949 \tabularnewline
0.51 & 1.52271265206772 & 0.0424335420302767 \tabularnewline
0.52 & 1.53135625356239 & 0.0447134334258519 \tabularnewline
0.53 & 1.54035430811317 & 0.0456778045684717 \tabularnewline
0.54 & 1.54945441358911 & 0.0453338862552914 \tabularnewline
0.55 & 1.55841839077106 & 0.0438375403066148 \tabularnewline
0.56 & 1.56704629861722 & 0.0414481134454995 \tabularnewline
0.57 & 1.57519256506617 & 0.0384868120609038 \tabularnewline
0.58 & 1.58277204654178 & 0.0352836753722724 \tabularnewline
0.59 & 1.58975616549196 & 0.0321161816279753 \tabularnewline
0.6 & 1.59616132990683 & 0.0291881664625114 \tabularnewline
0.61 & 1.60203311639630 & 0.0266020699094764 \tabularnewline
0.62 & 1.60742999480053 & 0.0243752593883416 \tabularnewline
0.63 & 1.61240978311218 & 0.0224561871430635 \tabularnewline
0.64 & 1.61702085122664 & 0.0207636670473174 \tabularnewline
0.65 & 1.621298721775 & 0.0192097428808290 \tabularnewline
0.66 & 1.62526748775183 & 0.0177331495481247 \tabularnewline
0.67 & 1.62894461270088 & 0.0163086024140193 \tabularnewline
0.68 & 1.63234729986763 & 0.0149427567146438 \tabularnewline
0.69 & 1.6354986851274 & 0.0136819549322051 \tabularnewline
0.7 & 1.63843249672307 & 0.0125834916452611 \tabularnewline
0.71 & 1.64119535006981 & 0.0117164894963824 \tabularnewline
0.72 & 1.64384633757238 & 0.0111401973849166 \tabularnewline
0.73 & 1.64645394512115 & 0.0108943386065639 \tabularnewline
0.74 & 1.64909061539181 & 0.010983988976592 \tabularnewline
0.75 & 1.65182561005761 & 0.011373790701314 \tabularnewline
0.76 & 1.65471730343606 & 0.0119867610465309 \tabularnewline
0.77 & 1.65780661218825 & 0.0127166063161117 \tabularnewline
0.78 & 1.66111364221618 & 0.0134490927536116 \tabularnewline
0.79 & 1.66463939014378 & 0.0140869751916751 \tabularnewline
0.8 & 1.66837317106308 & 0.0145812180411857 \tabularnewline
0.81 & 1.67230447858852 & 0.0149517600055520 \tabularnewline
0.82 & 1.67643588320932 & 0.0152730629137868 \tabularnewline
0.83 & 1.68079231693195 & 0.0156613616394121 \tabularnewline
0.84 & 1.68542243171683 & 0.0162170511417294 \tabularnewline
0.85 & 1.69038969365573 & 0.0169773376257974 \tabularnewline
0.86 & 1.69575376081705 & 0.0178886633284737 \tabularnewline
0.87 & 1.70154552990344 & 0.0188066304864872 \tabularnewline
0.88 & 1.70774148167749 & 0.0195168161175004 \tabularnewline
0.89 & 1.71424460544617 & 0.0197689941010310 \tabularnewline
0.9 & 1.72088033751415 & 0.0193426441737497 \tabularnewline
0.91 & 1.72741677191627 & 0.0181135226604065 \tabularnewline
0.92 & 1.73362013223196 & 0.0161373347990651 \tabularnewline
0.93 & 1.73936122552994 & 0.0137124874510929 \tabularnewline
0.94 & 1.74479307940658 & 0.0114891715883493 \tabularnewline
0.95 & 1.75060503801302 & 0.0106938290551121 \tabularnewline
0.96 & 1.75829096344025 & 0.0130174519416806 \tabularnewline
0.97 & 1.77019717466952 & 0.0189215614990375 \tabularnewline
0.98 & 1.78861040151327 & 0.0267121022909179 \tabularnewline
0.99 & 1.81212873468742 & 0.0342017769086023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9662&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]1.43000000003738[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]1.43000000082416[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]1.43000000925637[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]1.43000007003037[/C][C]4.61669466578387e-07[/C][/ROW]
[ROW][C]0.05[/C][C]1.43000039990223[/C][C]2.27150859658348e-06[/C][/ROW]
[ROW][C]0.06[/C][C]1.43000183424790[/C][C]9.08603438633393e-06[/C][/ROW]
[ROW][C]0.07[/C][C]1.43000702895444[/C][C]3.18268747396509e-05[/C][/ROW]
[ROW][C]0.08[/C][C]1.43002312459301[/C][C]9.64407747591256e-05[/C][/ROW]
[ROW][C]0.09[/C][C]1.43006663487723[/C][C]0.000252592061877676[/C][/ROW]
[ROW][C]0.1[/C][C]1.43017079035315[/C][C]0.000586015699532372[/C][/ROW]
[ROW][C]0.11[/C][C]1.43039418143775[/C][C]0.00121766370708426[/C][/ROW]
[ROW][C]0.12[/C][C]1.43082753673027[/C][C]0.00229062566383315[/C][/ROW]
[ROW][C]0.13[/C][C]1.43159382095094[/C][C]0.0039267837498365[/C][/ROW]
[ROW][C]0.14[/C][C]1.43283696995119[/C][C]0.00617710827939926[/C][/ROW]
[ROW][C]0.15[/C][C]1.43469748872278[/C][C]0.00896664123762089[/C][/ROW]
[ROW][C]0.16[/C][C]1.43727839065145[/C][C]0.0120650725127551[/C][/ROW]
[ROW][C]0.17[/C][C]1.4406104244488[/C][C]0.0151123070239327[/C][/ROW]
[ROW][C]0.18[/C][C]1.44462829894721[/C][C]0.0176832122507991[/C][/ROW]
[ROW][C]0.19[/C][C]1.44916765477917[/C][C]0.0193898450042546[/C][/ROW]
[ROW][C]0.2[/C][C]1.45398611301608[/C][C]0.0199789631249062[/C][/ROW]
[ROW][C]0.21[/C][C]1.45880348646753[/C][C]0.0193924052082719[/C][/ROW]
[ROW][C]0.22[/C][C]1.46334980280962[/C][C]0.017770597893139[/C][/ROW]
[ROW][C]0.23[/C][C]1.46740784884341[/C][C]0.0154044929449221[/C][/ROW]
[ROW][C]0.24[/C][C]1.47083993412840[/C][C]0.0126547583719564[/C][/ROW]
[ROW][C]0.25[/C][C]1.47359469825792[/C][C]0.0098670707038205[/C][/ROW]
[ROW][C]0.26[/C][C]1.47569621245741[/C][C]0.00731332313549815[/C][/ROW]
[ROW][C]0.27[/C][C]1.47722195651367[/C][C]0.00515942417211309[/C][/ROW]
[ROW][C]0.28[/C][C]1.47827747852381[/C][C]0.00346875589859302[/C][/ROW]
[ROW][C]0.29[/C][C]1.47897411221094[/C][C]0.00222537148312915[/C][/ROW]
[ROW][C]0.3[/C][C]1.47941332519504[/C][C]0.00136358484739511[/C][/ROW]
[ROW][C]0.31[/C][C]1.47967845555619[/C][C]0.00080069078425653[/C][/ROW]
[ROW][C]0.32[/C][C]1.47983264011239[/C][C]0.000453262321908338[/C][/ROW]
[ROW][C]0.33[/C][C]1.47992089985884[/C][C]0.000255879755291912[/C][/ROW]
[ROW][C]0.34[/C][C]1.47997441431113[/C][C]0.000164108743769862[/C][/ROW]
[ROW][C]0.35[/C][C]1.48001557851819[/C][C]0.000167225032739416[/C][/ROW]
[ROW][C]0.36[/C][C]1.4800631095528[/C][C]0.000264973463176895[/C][/ROW]
[ROW][C]0.37[/C][C]1.48013699950156[/C][C]0.000469783618690185[/C][/ROW]
[ROW][C]0.38[/C][C]1.4802633847096[/C][C]0.00082308760542206[/C][/ROW]
[ROW][C]0.39[/C][C]1.48047940118658[/C][C]0.0014014510425201[/C][/ROW]
[ROW][C]0.4[/C][C]1.48083786683917[/C][C]0.00229125386203057[/C][/ROW]
[ROW][C]0.41[/C][C]1.48141125351380[/C][C]0.00360692063280365[/C][/ROW]
[ROW][C]0.42[/C][C]1.48229400244013[/C][C]0.00546179990192643[/C][/ROW]
[ROW][C]0.43[/C][C]1.48360194743226[/C][C]0.00795581590276355[/C][/ROW]
[ROW][C]0.44[/C][C]1.48546760949878[/C][C]0.0111546691701104[/C][/ROW]
[ROW][C]0.45[/C][C]1.48803055265387[/C][C]0.0150597812613553[/C][/ROW]
[ROW][C]0.46[/C][C]1.49142288527898[/C][C]0.01958510213061[/C][/ROW]
[ROW][C]0.47[/C][C]1.49575123860466[/C][C]0.0245487583796153[/C][/ROW]
[ROW][C]0.48[/C][C]1.50107786253162[/C][C]0.0296715726597856[/C][/ROW]
[ROW][C]0.49[/C][C]1.50740443540213[/C][C]0.0346066373427475[/C][/ROW]
[ROW][C]0.5[/C][C]1.51466237828629[/C][C]0.0389764342662949[/C][/ROW]
[ROW][C]0.51[/C][C]1.52271265206772[/C][C]0.0424335420302767[/C][/ROW]
[ROW][C]0.52[/C][C]1.53135625356239[/C][C]0.0447134334258519[/C][/ROW]
[ROW][C]0.53[/C][C]1.54035430811317[/C][C]0.0456778045684717[/C][/ROW]
[ROW][C]0.54[/C][C]1.54945441358911[/C][C]0.0453338862552914[/C][/ROW]
[ROW][C]0.55[/C][C]1.55841839077106[/C][C]0.0438375403066148[/C][/ROW]
[ROW][C]0.56[/C][C]1.56704629861722[/C][C]0.0414481134454995[/C][/ROW]
[ROW][C]0.57[/C][C]1.57519256506617[/C][C]0.0384868120609038[/C][/ROW]
[ROW][C]0.58[/C][C]1.58277204654178[/C][C]0.0352836753722724[/C][/ROW]
[ROW][C]0.59[/C][C]1.58975616549196[/C][C]0.0321161816279753[/C][/ROW]
[ROW][C]0.6[/C][C]1.59616132990683[/C][C]0.0291881664625114[/C][/ROW]
[ROW][C]0.61[/C][C]1.60203311639630[/C][C]0.0266020699094764[/C][/ROW]
[ROW][C]0.62[/C][C]1.60742999480053[/C][C]0.0243752593883416[/C][/ROW]
[ROW][C]0.63[/C][C]1.61240978311218[/C][C]0.0224561871430635[/C][/ROW]
[ROW][C]0.64[/C][C]1.61702085122664[/C][C]0.0207636670473174[/C][/ROW]
[ROW][C]0.65[/C][C]1.621298721775[/C][C]0.0192097428808290[/C][/ROW]
[ROW][C]0.66[/C][C]1.62526748775183[/C][C]0.0177331495481247[/C][/ROW]
[ROW][C]0.67[/C][C]1.62894461270088[/C][C]0.0163086024140193[/C][/ROW]
[ROW][C]0.68[/C][C]1.63234729986763[/C][C]0.0149427567146438[/C][/ROW]
[ROW][C]0.69[/C][C]1.6354986851274[/C][C]0.0136819549322051[/C][/ROW]
[ROW][C]0.7[/C][C]1.63843249672307[/C][C]0.0125834916452611[/C][/ROW]
[ROW][C]0.71[/C][C]1.64119535006981[/C][C]0.0117164894963824[/C][/ROW]
[ROW][C]0.72[/C][C]1.64384633757238[/C][C]0.0111401973849166[/C][/ROW]
[ROW][C]0.73[/C][C]1.64645394512115[/C][C]0.0108943386065639[/C][/ROW]
[ROW][C]0.74[/C][C]1.64909061539181[/C][C]0.010983988976592[/C][/ROW]
[ROW][C]0.75[/C][C]1.65182561005761[/C][C]0.011373790701314[/C][/ROW]
[ROW][C]0.76[/C][C]1.65471730343606[/C][C]0.0119867610465309[/C][/ROW]
[ROW][C]0.77[/C][C]1.65780661218825[/C][C]0.0127166063161117[/C][/ROW]
[ROW][C]0.78[/C][C]1.66111364221618[/C][C]0.0134490927536116[/C][/ROW]
[ROW][C]0.79[/C][C]1.66463939014378[/C][C]0.0140869751916751[/C][/ROW]
[ROW][C]0.8[/C][C]1.66837317106308[/C][C]0.0145812180411857[/C][/ROW]
[ROW][C]0.81[/C][C]1.67230447858852[/C][C]0.0149517600055520[/C][/ROW]
[ROW][C]0.82[/C][C]1.67643588320932[/C][C]0.0152730629137868[/C][/ROW]
[ROW][C]0.83[/C][C]1.68079231693195[/C][C]0.0156613616394121[/C][/ROW]
[ROW][C]0.84[/C][C]1.68542243171683[/C][C]0.0162170511417294[/C][/ROW]
[ROW][C]0.85[/C][C]1.69038969365573[/C][C]0.0169773376257974[/C][/ROW]
[ROW][C]0.86[/C][C]1.69575376081705[/C][C]0.0178886633284737[/C][/ROW]
[ROW][C]0.87[/C][C]1.70154552990344[/C][C]0.0188066304864872[/C][/ROW]
[ROW][C]0.88[/C][C]1.70774148167749[/C][C]0.0195168161175004[/C][/ROW]
[ROW][C]0.89[/C][C]1.71424460544617[/C][C]0.0197689941010310[/C][/ROW]
[ROW][C]0.9[/C][C]1.72088033751415[/C][C]0.0193426441737497[/C][/ROW]
[ROW][C]0.91[/C][C]1.72741677191627[/C][C]0.0181135226604065[/C][/ROW]
[ROW][C]0.92[/C][C]1.73362013223196[/C][C]0.0161373347990651[/C][/ROW]
[ROW][C]0.93[/C][C]1.73936122552994[/C][C]0.0137124874510929[/C][/ROW]
[ROW][C]0.94[/C][C]1.74479307940658[/C][C]0.0114891715883493[/C][/ROW]
[ROW][C]0.95[/C][C]1.75060503801302[/C][C]0.0106938290551121[/C][/ROW]
[ROW][C]0.96[/C][C]1.75829096344025[/C][C]0.0130174519416806[/C][/ROW]
[ROW][C]0.97[/C][C]1.77019717466952[/C][C]0.0189215614990375[/C][/ROW]
[ROW][C]0.98[/C][C]1.78861040151327[/C][C]0.0267121022909179[/C][/ROW]
[ROW][C]0.99[/C][C]1.81212873468742[/C][C]0.0342017769086023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9662&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9662&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
0.011.430000000037380
0.021.430000000824160
0.031.430000009256370
0.041.430000070030374.61669466578387e-07
0.051.430000399902232.27150859658348e-06
0.061.430001834247909.08603438633393e-06
0.071.430007028954443.18268747396509e-05
0.081.430023124593019.64407747591256e-05
0.091.430066634877230.000252592061877676
0.11.430170790353150.000586015699532372
0.111.430394181437750.00121766370708426
0.121.430827536730270.00229062566383315
0.131.431593820950940.0039267837498365
0.141.432836969951190.00617710827939926
0.151.434697488722780.00896664123762089
0.161.437278390651450.0120650725127551
0.171.44061042444880.0151123070239327
0.181.444628298947210.0176832122507991
0.191.449167654779170.0193898450042546
0.21.453986113016080.0199789631249062
0.211.458803486467530.0193924052082719
0.221.463349802809620.017770597893139
0.231.467407848843410.0154044929449221
0.241.470839934128400.0126547583719564
0.251.473594698257920.0098670707038205
0.261.475696212457410.00731332313549815
0.271.477221956513670.00515942417211309
0.281.478277478523810.00346875589859302
0.291.478974112210940.00222537148312915
0.31.479413325195040.00136358484739511
0.311.479678455556190.00080069078425653
0.321.479832640112390.000453262321908338
0.331.479920899858840.000255879755291912
0.341.479974414311130.000164108743769862
0.351.480015578518190.000167225032739416
0.361.48006310955280.000264973463176895
0.371.480136999501560.000469783618690185
0.381.48026338470960.00082308760542206
0.391.480479401186580.0014014510425201
0.41.480837866839170.00229125386203057
0.411.481411253513800.00360692063280365
0.421.482294002440130.00546179990192643
0.431.483601947432260.00795581590276355
0.441.485467609498780.0111546691701104
0.451.488030552653870.0150597812613553
0.461.491422885278980.01958510213061
0.471.495751238604660.0245487583796153
0.481.501077862531620.0296715726597856
0.491.507404435402130.0346066373427475
0.51.514662378286290.0389764342662949
0.511.522712652067720.0424335420302767
0.521.531356253562390.0447134334258519
0.531.540354308113170.0456778045684717
0.541.549454413589110.0453338862552914
0.551.558418390771060.0438375403066148
0.561.567046298617220.0414481134454995
0.571.575192565066170.0384868120609038
0.581.582772046541780.0352836753722724
0.591.589756165491960.0321161816279753
0.61.596161329906830.0291881664625114
0.611.602033116396300.0266020699094764
0.621.607429994800530.0243752593883416
0.631.612409783112180.0224561871430635
0.641.617020851226640.0207636670473174
0.651.6212987217750.0192097428808290
0.661.625267487751830.0177331495481247
0.671.628944612700880.0163086024140193
0.681.632347299867630.0149427567146438
0.691.63549868512740.0136819549322051
0.71.638432496723070.0125834916452611
0.711.641195350069810.0117164894963824
0.721.643846337572380.0111401973849166
0.731.646453945121150.0108943386065639
0.741.649090615391810.010983988976592
0.751.651825610057610.011373790701314
0.761.654717303436060.0119867610465309
0.771.657806612188250.0127166063161117
0.781.661113642216180.0134490927536116
0.791.664639390143780.0140869751916751
0.81.668373171063080.0145812180411857
0.811.672304478588520.0149517600055520
0.821.676435883209320.0152730629137868
0.831.680792316931950.0156613616394121
0.841.685422431716830.0162170511417294
0.851.690389693655730.0169773376257974
0.861.695753760817050.0178886633284737
0.871.701545529903440.0188066304864872
0.881.707741481677490.0195168161175004
0.891.714244605446170.0197689941010310
0.91.720880337514150.0193426441737497
0.911.727416771916270.0181135226604065
0.921.733620132231960.0161373347990651
0.931.739361225529940.0137124874510929
0.941.744793079406580.0114891715883493
0.951.750605038013020.0106938290551121
0.961.758290963440250.0130174519416806
0.971.770197174669520.0189215614990375
0.981.788610401513270.0267121022909179
0.991.812128734687420.0342017769086023


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')