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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 computationMon, 30 Sep 2013 06:47:39 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Sep/30/t1380538081j1lndcku6suufbt.htm/, Retrieved Thu, 02 May 2024 01:40:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212456, Retrieved Thu, 02 May 2024 01:40:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

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] [] [2013-09-30 10:47:39] [764249a9cc4864d99a8b0ce95556daaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.42
99.42
99.42
99.42
99.42
109.26
110
110
109.26
100.07
100.07
100.05
100.05
100.05
100.05
100.05
100.05
108.77
111.32
111.6
108.52
103.13
102.87
102.75
102.75
102.75
102.75
102.75
102.75
115.22
115.53
115.4
111.99
107.93
107.43
106.98
106.98
106.98
106.98
106.98
106.98
113.71
118.77
118.54
116.16
110.52
110.06
109.9
109.9
110.72
110.09
110.07
112.45
113.06
119.83
119.84
113.73
110.5
110.12
109.86
110.36
110.36
110.59
112.52
112.1
115.9
122.96
121.26
114.55
111.57
110.65
109.77
112.38
112.35
112.2
114.46
116.26
119.57
127.77
126.59
120.45
116.38
116.3
115.05

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212456&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212456&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212456&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.4224824246340.0100482305682169
0.0299.43453292754150.0456133645511535
0.0399.46635299573950.111132229378512
0.0499.52527171588680.189194118400525
0.0599.6103413763260.251539939496
0.0699.71253743221810.280144853356703
0.0799.82054120291150.280804127100168
0.0899.92773383618640.281893210509162
0.09100.0360008165890.321090488281981
0.1100.1548851662810.419144968732111
0.11100.2974309819760.568533566678112
0.12100.4751463110370.747060488904888
0.13100.6941587148150.927326373334833
0.14100.953693180551.08354007395781
0.15101.2470229847311.19879891618992
0.16101.5642407035971.27018296599367
0.17101.8956893259951.30959364522082
0.18102.2347983639871.3393717813964
0.19102.5794108334131.38335818169874
0.2102.931321901541.45642416671491
0.21103.2944163526971.55825183867935
0.22103.6722343881041.67397223140474
0.23104.0658796536041.78210319954469
0.24104.4729352459961.86152660158856
0.25104.8876177453081.8976341522834
0.26105.3019607125041.88546658782294
0.27105.7075261269681.82951089182605
0.28106.0970632533211.74163895720489
0.29106.465652151181.63746255111165
0.3106.8111055416771.53231506566053
0.31107.1336588486831.43730261972697
0.32107.4351708972161.35764900199821
0.33107.7181433300441.29233313639065
0.34107.984845588681.23631525544506
0.35108.2367372702341.18270712238184
0.36108.4742572794861.1249493981285
0.37108.6969410371961.0594364033758
0.38108.903758379220.984367369838164
0.39109.0935420465250.90099989634819
0.4109.2653914883780.812041123838869
0.41109.4189734534730.721502255694538
0.42109.5546836163320.633837629180395
0.43109.6736705610470.552875402671673
0.44109.7777487858140.482151155317104
0.45109.8692398851840.424270130054795
0.46109.9507827027790.380576433536978
0.47110.0251472850840.351604939570833
0.48110.0950771741890.336870841279457
0.49110.1631726646970.335476392803174
0.5110.231816221290.345722133535797
0.51110.3031319689660.365952124328286
0.52110.3789653583890.394586363163433
0.53110.4608677012460.430186831247595
0.54110.5500735424090.470934772553073
0.55110.6474661306960.514943806162051
0.56110.753535850040.56015412521876
0.57110.868345782380.604024381022757
0.58110.9915246615390.644431869446922
0.59111.1223078681730.678856141421399
0.6111.2596405964790.705979273010697
0.61111.4023444913030.725480762916446
0.62111.5493324000250.738148200742228
0.63111.6998393406250.746430193629148
0.64111.8536258503810.753492289858836
0.65112.0111065013170.76352327494376
0.66112.1733638904310.780321318786296
0.67112.3420267697190.806711382836637
0.68112.5190173728960.843769380521023
0.69112.7062021746160.88997046841465
0.7112.9050055534920.941778721721049
0.71113.1160604765290.993909278227164
0.72113.3389696962721.04056983856001
0.73113.5722340198781.07608606466105
0.74113.8133744710211.09615967329621
0.75114.0592402022591.09851225540083
0.76114.3064634556011.08324044111216
0.77114.5520049680731.05286830636655
0.78114.7937308238431.01234434984589
0.79115.030969154110.968578278036046
0.8115.2649980305140.930132819364983
0.81115.4993972870760.907028973369887
0.82115.7401492208440.909466848476232
0.83115.9953135928540.946012612362352
0.84116.2740825208771.0200342502797
0.85116.585114557511.12576909248162
0.86116.9343097425131.24682924620355
0.87117.3225951973161.35837839304046
0.88117.7446984981761.43298956536125
0.89118.190050361681.44990030397602
0.9118.6466567033611.40454827988744
0.91119.1079838678011.3165806492641
0.92119.5818592446141.2332084997621
0.93120.0994023803321.22477453320426
0.94120.7207478074851.3644057740039
0.95121.5313383300291.68832106010699
0.96122.6170712106452.1502827860896
0.97124.0045482877682.55443821324644
0.98125.5706203651622.53082317997874
0.99126.9774479252591.85815504164039

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.422482424634 & 0.0100482305682169 \tabularnewline
0.02 & 99.4345329275415 & 0.0456133645511535 \tabularnewline
0.03 & 99.4663529957395 & 0.111132229378512 \tabularnewline
0.04 & 99.5252717158868 & 0.189194118400525 \tabularnewline
0.05 & 99.610341376326 & 0.251539939496 \tabularnewline
0.06 & 99.7125374322181 & 0.280144853356703 \tabularnewline
0.07 & 99.8205412029115 & 0.280804127100168 \tabularnewline
0.08 & 99.9277338361864 & 0.281893210509162 \tabularnewline
0.09 & 100.036000816589 & 0.321090488281981 \tabularnewline
0.1 & 100.154885166281 & 0.419144968732111 \tabularnewline
0.11 & 100.297430981976 & 0.568533566678112 \tabularnewline
0.12 & 100.475146311037 & 0.747060488904888 \tabularnewline
0.13 & 100.694158714815 & 0.927326373334833 \tabularnewline
0.14 & 100.95369318055 & 1.08354007395781 \tabularnewline
0.15 & 101.247022984731 & 1.19879891618992 \tabularnewline
0.16 & 101.564240703597 & 1.27018296599367 \tabularnewline
0.17 & 101.895689325995 & 1.30959364522082 \tabularnewline
0.18 & 102.234798363987 & 1.3393717813964 \tabularnewline
0.19 & 102.579410833413 & 1.38335818169874 \tabularnewline
0.2 & 102.93132190154 & 1.45642416671491 \tabularnewline
0.21 & 103.294416352697 & 1.55825183867935 \tabularnewline
0.22 & 103.672234388104 & 1.67397223140474 \tabularnewline
0.23 & 104.065879653604 & 1.78210319954469 \tabularnewline
0.24 & 104.472935245996 & 1.86152660158856 \tabularnewline
0.25 & 104.887617745308 & 1.8976341522834 \tabularnewline
0.26 & 105.301960712504 & 1.88546658782294 \tabularnewline
0.27 & 105.707526126968 & 1.82951089182605 \tabularnewline
0.28 & 106.097063253321 & 1.74163895720489 \tabularnewline
0.29 & 106.46565215118 & 1.63746255111165 \tabularnewline
0.3 & 106.811105541677 & 1.53231506566053 \tabularnewline
0.31 & 107.133658848683 & 1.43730261972697 \tabularnewline
0.32 & 107.435170897216 & 1.35764900199821 \tabularnewline
0.33 & 107.718143330044 & 1.29233313639065 \tabularnewline
0.34 & 107.98484558868 & 1.23631525544506 \tabularnewline
0.35 & 108.236737270234 & 1.18270712238184 \tabularnewline
0.36 & 108.474257279486 & 1.1249493981285 \tabularnewline
0.37 & 108.696941037196 & 1.0594364033758 \tabularnewline
0.38 & 108.90375837922 & 0.984367369838164 \tabularnewline
0.39 & 109.093542046525 & 0.90099989634819 \tabularnewline
0.4 & 109.265391488378 & 0.812041123838869 \tabularnewline
0.41 & 109.418973453473 & 0.721502255694538 \tabularnewline
0.42 & 109.554683616332 & 0.633837629180395 \tabularnewline
0.43 & 109.673670561047 & 0.552875402671673 \tabularnewline
0.44 & 109.777748785814 & 0.482151155317104 \tabularnewline
0.45 & 109.869239885184 & 0.424270130054795 \tabularnewline
0.46 & 109.950782702779 & 0.380576433536978 \tabularnewline
0.47 & 110.025147285084 & 0.351604939570833 \tabularnewline
0.48 & 110.095077174189 & 0.336870841279457 \tabularnewline
0.49 & 110.163172664697 & 0.335476392803174 \tabularnewline
0.5 & 110.23181622129 & 0.345722133535797 \tabularnewline
0.51 & 110.303131968966 & 0.365952124328286 \tabularnewline
0.52 & 110.378965358389 & 0.394586363163433 \tabularnewline
0.53 & 110.460867701246 & 0.430186831247595 \tabularnewline
0.54 & 110.550073542409 & 0.470934772553073 \tabularnewline
0.55 & 110.647466130696 & 0.514943806162051 \tabularnewline
0.56 & 110.75353585004 & 0.56015412521876 \tabularnewline
0.57 & 110.86834578238 & 0.604024381022757 \tabularnewline
0.58 & 110.991524661539 & 0.644431869446922 \tabularnewline
0.59 & 111.122307868173 & 0.678856141421399 \tabularnewline
0.6 & 111.259640596479 & 0.705979273010697 \tabularnewline
0.61 & 111.402344491303 & 0.725480762916446 \tabularnewline
0.62 & 111.549332400025 & 0.738148200742228 \tabularnewline
0.63 & 111.699839340625 & 0.746430193629148 \tabularnewline
0.64 & 111.853625850381 & 0.753492289858836 \tabularnewline
0.65 & 112.011106501317 & 0.76352327494376 \tabularnewline
0.66 & 112.173363890431 & 0.780321318786296 \tabularnewline
0.67 & 112.342026769719 & 0.806711382836637 \tabularnewline
0.68 & 112.519017372896 & 0.843769380521023 \tabularnewline
0.69 & 112.706202174616 & 0.88997046841465 \tabularnewline
0.7 & 112.905005553492 & 0.941778721721049 \tabularnewline
0.71 & 113.116060476529 & 0.993909278227164 \tabularnewline
0.72 & 113.338969696272 & 1.04056983856001 \tabularnewline
0.73 & 113.572234019878 & 1.07608606466105 \tabularnewline
0.74 & 113.813374471021 & 1.09615967329621 \tabularnewline
0.75 & 114.059240202259 & 1.09851225540083 \tabularnewline
0.76 & 114.306463455601 & 1.08324044111216 \tabularnewline
0.77 & 114.552004968073 & 1.05286830636655 \tabularnewline
0.78 & 114.793730823843 & 1.01234434984589 \tabularnewline
0.79 & 115.03096915411 & 0.968578278036046 \tabularnewline
0.8 & 115.264998030514 & 0.930132819364983 \tabularnewline
0.81 & 115.499397287076 & 0.907028973369887 \tabularnewline
0.82 & 115.740149220844 & 0.909466848476232 \tabularnewline
0.83 & 115.995313592854 & 0.946012612362352 \tabularnewline
0.84 & 116.274082520877 & 1.0200342502797 \tabularnewline
0.85 & 116.58511455751 & 1.12576909248162 \tabularnewline
0.86 & 116.934309742513 & 1.24682924620355 \tabularnewline
0.87 & 117.322595197316 & 1.35837839304046 \tabularnewline
0.88 & 117.744698498176 & 1.43298956536125 \tabularnewline
0.89 & 118.19005036168 & 1.44990030397602 \tabularnewline
0.9 & 118.646656703361 & 1.40454827988744 \tabularnewline
0.91 & 119.107983867801 & 1.3165806492641 \tabularnewline
0.92 & 119.581859244614 & 1.2332084997621 \tabularnewline
0.93 & 120.099402380332 & 1.22477453320426 \tabularnewline
0.94 & 120.720747807485 & 1.3644057740039 \tabularnewline
0.95 & 121.531338330029 & 1.68832106010699 \tabularnewline
0.96 & 122.617071210645 & 2.1502827860896 \tabularnewline
0.97 & 124.004548287768 & 2.55443821324644 \tabularnewline
0.98 & 125.570620365162 & 2.53082317997874 \tabularnewline
0.99 & 126.977447925259 & 1.85815504164039 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212456&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]99.422482424634[/C][C]0.0100482305682169[/C][/ROW]
[ROW][C]0.02[/C][C]99.4345329275415[/C][C]0.0456133645511535[/C][/ROW]
[ROW][C]0.03[/C][C]99.4663529957395[/C][C]0.111132229378512[/C][/ROW]
[ROW][C]0.04[/C][C]99.5252717158868[/C][C]0.189194118400525[/C][/ROW]
[ROW][C]0.05[/C][C]99.610341376326[/C][C]0.251539939496[/C][/ROW]
[ROW][C]0.06[/C][C]99.7125374322181[/C][C]0.280144853356703[/C][/ROW]
[ROW][C]0.07[/C][C]99.8205412029115[/C][C]0.280804127100168[/C][/ROW]
[ROW][C]0.08[/C][C]99.9277338361864[/C][C]0.281893210509162[/C][/ROW]
[ROW][C]0.09[/C][C]100.036000816589[/C][C]0.321090488281981[/C][/ROW]
[ROW][C]0.1[/C][C]100.154885166281[/C][C]0.419144968732111[/C][/ROW]
[ROW][C]0.11[/C][C]100.297430981976[/C][C]0.568533566678112[/C][/ROW]
[ROW][C]0.12[/C][C]100.475146311037[/C][C]0.747060488904888[/C][/ROW]
[ROW][C]0.13[/C][C]100.694158714815[/C][C]0.927326373334833[/C][/ROW]
[ROW][C]0.14[/C][C]100.95369318055[/C][C]1.08354007395781[/C][/ROW]
[ROW][C]0.15[/C][C]101.247022984731[/C][C]1.19879891618992[/C][/ROW]
[ROW][C]0.16[/C][C]101.564240703597[/C][C]1.27018296599367[/C][/ROW]
[ROW][C]0.17[/C][C]101.895689325995[/C][C]1.30959364522082[/C][/ROW]
[ROW][C]0.18[/C][C]102.234798363987[/C][C]1.3393717813964[/C][/ROW]
[ROW][C]0.19[/C][C]102.579410833413[/C][C]1.38335818169874[/C][/ROW]
[ROW][C]0.2[/C][C]102.93132190154[/C][C]1.45642416671491[/C][/ROW]
[ROW][C]0.21[/C][C]103.294416352697[/C][C]1.55825183867935[/C][/ROW]
[ROW][C]0.22[/C][C]103.672234388104[/C][C]1.67397223140474[/C][/ROW]
[ROW][C]0.23[/C][C]104.065879653604[/C][C]1.78210319954469[/C][/ROW]
[ROW][C]0.24[/C][C]104.472935245996[/C][C]1.86152660158856[/C][/ROW]
[ROW][C]0.25[/C][C]104.887617745308[/C][C]1.8976341522834[/C][/ROW]
[ROW][C]0.26[/C][C]105.301960712504[/C][C]1.88546658782294[/C][/ROW]
[ROW][C]0.27[/C][C]105.707526126968[/C][C]1.82951089182605[/C][/ROW]
[ROW][C]0.28[/C][C]106.097063253321[/C][C]1.74163895720489[/C][/ROW]
[ROW][C]0.29[/C][C]106.46565215118[/C][C]1.63746255111165[/C][/ROW]
[ROW][C]0.3[/C][C]106.811105541677[/C][C]1.53231506566053[/C][/ROW]
[ROW][C]0.31[/C][C]107.133658848683[/C][C]1.43730261972697[/C][/ROW]
[ROW][C]0.32[/C][C]107.435170897216[/C][C]1.35764900199821[/C][/ROW]
[ROW][C]0.33[/C][C]107.718143330044[/C][C]1.29233313639065[/C][/ROW]
[ROW][C]0.34[/C][C]107.98484558868[/C][C]1.23631525544506[/C][/ROW]
[ROW][C]0.35[/C][C]108.236737270234[/C][C]1.18270712238184[/C][/ROW]
[ROW][C]0.36[/C][C]108.474257279486[/C][C]1.1249493981285[/C][/ROW]
[ROW][C]0.37[/C][C]108.696941037196[/C][C]1.0594364033758[/C][/ROW]
[ROW][C]0.38[/C][C]108.90375837922[/C][C]0.984367369838164[/C][/ROW]
[ROW][C]0.39[/C][C]109.093542046525[/C][C]0.90099989634819[/C][/ROW]
[ROW][C]0.4[/C][C]109.265391488378[/C][C]0.812041123838869[/C][/ROW]
[ROW][C]0.41[/C][C]109.418973453473[/C][C]0.721502255694538[/C][/ROW]
[ROW][C]0.42[/C][C]109.554683616332[/C][C]0.633837629180395[/C][/ROW]
[ROW][C]0.43[/C][C]109.673670561047[/C][C]0.552875402671673[/C][/ROW]
[ROW][C]0.44[/C][C]109.777748785814[/C][C]0.482151155317104[/C][/ROW]
[ROW][C]0.45[/C][C]109.869239885184[/C][C]0.424270130054795[/C][/ROW]
[ROW][C]0.46[/C][C]109.950782702779[/C][C]0.380576433536978[/C][/ROW]
[ROW][C]0.47[/C][C]110.025147285084[/C][C]0.351604939570833[/C][/ROW]
[ROW][C]0.48[/C][C]110.095077174189[/C][C]0.336870841279457[/C][/ROW]
[ROW][C]0.49[/C][C]110.163172664697[/C][C]0.335476392803174[/C][/ROW]
[ROW][C]0.5[/C][C]110.23181622129[/C][C]0.345722133535797[/C][/ROW]
[ROW][C]0.51[/C][C]110.303131968966[/C][C]0.365952124328286[/C][/ROW]
[ROW][C]0.52[/C][C]110.378965358389[/C][C]0.394586363163433[/C][/ROW]
[ROW][C]0.53[/C][C]110.460867701246[/C][C]0.430186831247595[/C][/ROW]
[ROW][C]0.54[/C][C]110.550073542409[/C][C]0.470934772553073[/C][/ROW]
[ROW][C]0.55[/C][C]110.647466130696[/C][C]0.514943806162051[/C][/ROW]
[ROW][C]0.56[/C][C]110.75353585004[/C][C]0.56015412521876[/C][/ROW]
[ROW][C]0.57[/C][C]110.86834578238[/C][C]0.604024381022757[/C][/ROW]
[ROW][C]0.58[/C][C]110.991524661539[/C][C]0.644431869446922[/C][/ROW]
[ROW][C]0.59[/C][C]111.122307868173[/C][C]0.678856141421399[/C][/ROW]
[ROW][C]0.6[/C][C]111.259640596479[/C][C]0.705979273010697[/C][/ROW]
[ROW][C]0.61[/C][C]111.402344491303[/C][C]0.725480762916446[/C][/ROW]
[ROW][C]0.62[/C][C]111.549332400025[/C][C]0.738148200742228[/C][/ROW]
[ROW][C]0.63[/C][C]111.699839340625[/C][C]0.746430193629148[/C][/ROW]
[ROW][C]0.64[/C][C]111.853625850381[/C][C]0.753492289858836[/C][/ROW]
[ROW][C]0.65[/C][C]112.011106501317[/C][C]0.76352327494376[/C][/ROW]
[ROW][C]0.66[/C][C]112.173363890431[/C][C]0.780321318786296[/C][/ROW]
[ROW][C]0.67[/C][C]112.342026769719[/C][C]0.806711382836637[/C][/ROW]
[ROW][C]0.68[/C][C]112.519017372896[/C][C]0.843769380521023[/C][/ROW]
[ROW][C]0.69[/C][C]112.706202174616[/C][C]0.88997046841465[/C][/ROW]
[ROW][C]0.7[/C][C]112.905005553492[/C][C]0.941778721721049[/C][/ROW]
[ROW][C]0.71[/C][C]113.116060476529[/C][C]0.993909278227164[/C][/ROW]
[ROW][C]0.72[/C][C]113.338969696272[/C][C]1.04056983856001[/C][/ROW]
[ROW][C]0.73[/C][C]113.572234019878[/C][C]1.07608606466105[/C][/ROW]
[ROW][C]0.74[/C][C]113.813374471021[/C][C]1.09615967329621[/C][/ROW]
[ROW][C]0.75[/C][C]114.059240202259[/C][C]1.09851225540083[/C][/ROW]
[ROW][C]0.76[/C][C]114.306463455601[/C][C]1.08324044111216[/C][/ROW]
[ROW][C]0.77[/C][C]114.552004968073[/C][C]1.05286830636655[/C][/ROW]
[ROW][C]0.78[/C][C]114.793730823843[/C][C]1.01234434984589[/C][/ROW]
[ROW][C]0.79[/C][C]115.03096915411[/C][C]0.968578278036046[/C][/ROW]
[ROW][C]0.8[/C][C]115.264998030514[/C][C]0.930132819364983[/C][/ROW]
[ROW][C]0.81[/C][C]115.499397287076[/C][C]0.907028973369887[/C][/ROW]
[ROW][C]0.82[/C][C]115.740149220844[/C][C]0.909466848476232[/C][/ROW]
[ROW][C]0.83[/C][C]115.995313592854[/C][C]0.946012612362352[/C][/ROW]
[ROW][C]0.84[/C][C]116.274082520877[/C][C]1.0200342502797[/C][/ROW]
[ROW][C]0.85[/C][C]116.58511455751[/C][C]1.12576909248162[/C][/ROW]
[ROW][C]0.86[/C][C]116.934309742513[/C][C]1.24682924620355[/C][/ROW]
[ROW][C]0.87[/C][C]117.322595197316[/C][C]1.35837839304046[/C][/ROW]
[ROW][C]0.88[/C][C]117.744698498176[/C][C]1.43298956536125[/C][/ROW]
[ROW][C]0.89[/C][C]118.19005036168[/C][C]1.44990030397602[/C][/ROW]
[ROW][C]0.9[/C][C]118.646656703361[/C][C]1.40454827988744[/C][/ROW]
[ROW][C]0.91[/C][C]119.107983867801[/C][C]1.3165806492641[/C][/ROW]
[ROW][C]0.92[/C][C]119.581859244614[/C][C]1.2332084997621[/C][/ROW]
[ROW][C]0.93[/C][C]120.099402380332[/C][C]1.22477453320426[/C][/ROW]
[ROW][C]0.94[/C][C]120.720747807485[/C][C]1.3644057740039[/C][/ROW]
[ROW][C]0.95[/C][C]121.531338330029[/C][C]1.68832106010699[/C][/ROW]
[ROW][C]0.96[/C][C]122.617071210645[/C][C]2.1502827860896[/C][/ROW]
[ROW][C]0.97[/C][C]124.004548287768[/C][C]2.55443821324644[/C][/ROW]
[ROW][C]0.98[/C][C]125.570620365162[/C][C]2.53082317997874[/C][/ROW]
[ROW][C]0.99[/C][C]126.977447925259[/C][C]1.85815504164039[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212456&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212456&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
0.0199.4224824246340.0100482305682169
0.0299.43453292754150.0456133645511535
0.0399.46635299573950.111132229378512
0.0499.52527171588680.189194118400525
0.0599.6103413763260.251539939496
0.0699.71253743221810.280144853356703
0.0799.82054120291150.280804127100168
0.0899.92773383618640.281893210509162
0.09100.0360008165890.321090488281981
0.1100.1548851662810.419144968732111
0.11100.2974309819760.568533566678112
0.12100.4751463110370.747060488904888
0.13100.6941587148150.927326373334833
0.14100.953693180551.08354007395781
0.15101.2470229847311.19879891618992
0.16101.5642407035971.27018296599367
0.17101.8956893259951.30959364522082
0.18102.2347983639871.3393717813964
0.19102.5794108334131.38335818169874
0.2102.931321901541.45642416671491
0.21103.2944163526971.55825183867935
0.22103.6722343881041.67397223140474
0.23104.0658796536041.78210319954469
0.24104.4729352459961.86152660158856
0.25104.8876177453081.8976341522834
0.26105.3019607125041.88546658782294
0.27105.7075261269681.82951089182605
0.28106.0970632533211.74163895720489
0.29106.465652151181.63746255111165
0.3106.8111055416771.53231506566053
0.31107.1336588486831.43730261972697
0.32107.4351708972161.35764900199821
0.33107.7181433300441.29233313639065
0.34107.984845588681.23631525544506
0.35108.2367372702341.18270712238184
0.36108.4742572794861.1249493981285
0.37108.6969410371961.0594364033758
0.38108.903758379220.984367369838164
0.39109.0935420465250.90099989634819
0.4109.2653914883780.812041123838869
0.41109.4189734534730.721502255694538
0.42109.5546836163320.633837629180395
0.43109.6736705610470.552875402671673
0.44109.7777487858140.482151155317104
0.45109.8692398851840.424270130054795
0.46109.9507827027790.380576433536978
0.47110.0251472850840.351604939570833
0.48110.0950771741890.336870841279457
0.49110.1631726646970.335476392803174
0.5110.231816221290.345722133535797
0.51110.3031319689660.365952124328286
0.52110.3789653583890.394586363163433
0.53110.4608677012460.430186831247595
0.54110.5500735424090.470934772553073
0.55110.6474661306960.514943806162051
0.56110.753535850040.56015412521876
0.57110.868345782380.604024381022757
0.58110.9915246615390.644431869446922
0.59111.1223078681730.678856141421399
0.6111.2596405964790.705979273010697
0.61111.4023444913030.725480762916446
0.62111.5493324000250.738148200742228
0.63111.6998393406250.746430193629148
0.64111.8536258503810.753492289858836
0.65112.0111065013170.76352327494376
0.66112.1733638904310.780321318786296
0.67112.3420267697190.806711382836637
0.68112.5190173728960.843769380521023
0.69112.7062021746160.88997046841465
0.7112.9050055534920.941778721721049
0.71113.1160604765290.993909278227164
0.72113.3389696962721.04056983856001
0.73113.5722340198781.07608606466105
0.74113.8133744710211.09615967329621
0.75114.0592402022591.09851225540083
0.76114.3064634556011.08324044111216
0.77114.5520049680731.05286830636655
0.78114.7937308238431.01234434984589
0.79115.030969154110.968578278036046
0.8115.2649980305140.930132819364983
0.81115.4993972870760.907028973369887
0.82115.7401492208440.909466848476232
0.83115.9953135928540.946012612362352
0.84116.2740825208771.0200342502797
0.85116.585114557511.12576909248162
0.86116.9343097425131.24682924620355
0.87117.3225951973161.35837839304046
0.88117.7446984981761.43298956536125
0.89118.190050361681.44990030397602
0.9118.6466567033611.40454827988744
0.91119.1079838678011.3165806492641
0.92119.5818592446141.2332084997621
0.93120.0994023803321.22477453320426
0.94120.7207478074851.3644057740039
0.95121.5313383300291.68832106010699
0.96122.6170712106452.1502827860896
0.97124.0045482877682.55443821324644
0.98125.5706203651622.53082317997874
0.99126.9774479252591.85815504164039


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')