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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, 25 Feb 2013 13:30:48 -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/2013/Feb/25/t13618170661gv7tbbqjm33g1q.htm/, Retrieved Fri, 03 May 2024 11:28:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206954, Retrieved Fri, 03 May 2024 11:28:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95

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] [] [2013-02-25 18:30:48] [bda1405f45fc71f9cfac8f9f3e5dea22] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120.6
119.9
119.48
117.45
118.37
117.07
114.98
112.59
111.7
112.04
110.79
109.82
109.11
109.84
109.31
108.29
107.42
106.71
105.11
104.43
105.55
106.12
105.78
105.33
104.63
104.62
105.57
107.5
107.52
107.76
106.74
106.21
105.77
105.27
104.35
103.52
102.28
100.93
101.04
99.95
99.55
99.56
99.01
98.64
98.98
100.8
100.32
100.72
280.8
280.4
280.4
280.3
281
280.9
279.7
283.1
290.6
291.6
291.7
291.8
291.7
291.5
291.7
293.4
293.1
293.1
292.6
292.1
292.2
292
292.1
293.4
292.2
292.1
291.6
290.9
290.9
290.8
290.5
290
290.2
290.1

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206954&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206954&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206954&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.76212702522450.287327057993418
0.0298.94777464198280.29226963423555
0.0399.15140078222190.364146884354803
0.0499.36413705697450.444309760000796
0.0599.58762231513440.514673372991605
0.0699.82202180471160.58201822265466
0.07100.0675013777020.655159400687172
0.08100.3265859670360.744454066688529
0.09100.6043771501270.860653011684028
0.1100.9072289969551.00665348100948
0.11101.2403882233321.17073287461327
0.12101.605308223641.32900422981031
0.13101.9977788717241.45393690384308
0.14102.4078103942511.52356645601693
0.15102.8213966991621.52773733598851
0.16103.2234462783741.47008124815739
0.17103.6007849445721.36481475877145
0.18103.9442977260281.23208511700286
0.19104.2497754632411.09261052110678
0.2104.5175604508490.96307000004517
0.21104.7514239892740.854276540884071
0.22104.95719000420.771567533847109
0.23105.1415034140590.715944356711943
0.24105.3109446397190.68571354095971
0.25105.4715140220310.678031172782165
0.26105.6284048624250.689965008552358
0.27105.7859551072610.718142069821707
0.28105.9476894652430.7594142121079
0.29106.1164032085520.810933230225066
0.3106.2942719001810.870046649048615
0.31106.4829876595670.935251420796144
0.32106.6839240022351.00563300653969
0.33106.8983257260481.08171972593949
0.34107.1275165668011.16415997994089
0.35107.3731215498731.25593705237636
0.36107.6373154193541.36023829297336
0.37107.9231322491491.48208441959126
0.38108.2349013601271.62877569251739
0.39108.5789069298181.81138286287456
0.4108.964397748382.04762830691107
0.41109.4050909545582.36523528768092
0.42109.9213055249382.8053566243518
0.43110.5428078848873.42954682640588
0.44111.3123300195124.32091797317804
0.45112.2895116929335.58583403711339
0.46113.5547235072587.35092909259293
0.47115.2118819565419.7521928709872
0.48117.38905244967812.9199422276013
0.49120.23547531036716.9554723221765
0.5123.91378525547721.9025507542397
0.51128.5867408447527.7169440467329
0.52134.39876335333134.2407691744606
0.53141.45389192462941.1906329736065
0.54149.79312533430448.1634312292533
0.55159.37515542952754.6658738347967
0.56170.06480194647460.1699884231387
0.57181.63275334665264.1799526321943
0.58193.76847607701566.3069667552707
0.59206.1056665877366.3313139475928
0.6218.25695806414964.2408559366526
0.61229.85246009435160.2348709150029
0.62240.57572106627654.6938410187641
0.63250.1911798986948.1184479761202
0.64258.55901752677641.0547523417363
0.65265.63603261443734.0184352348077
0.66271.46401325105527.4314928591343
0.67276.14931879541421.5888857370481
0.68279.83851464494816.6459816178722
0.69282.69477597038812.633117534102
0.7284.8786230809289.48758725698101
0.71286.5348499930677.0875464929608
0.72287.785802449165.28884370810089
0.73288.7298835322583.95262995626686
0.74289.4435260864792.96118265389604
0.75289.9848496374642.22453716634282
0.76290.3976247764851.67696428772391
0.77290.7147441956141.27138190722887
0.78290.9609235286890.973144147757467
0.79291.1546964481790.755411140285906
0.8291.3099018807070.597065838534527
0.81291.436840701650.481488060527854
0.82291.5431933802270.397044943770927
0.83291.6347187983830.335500703544688
0.84291.7157413863960.291641990843406
0.85291.7894776484490.260511550746944
0.86291.8583174483810.237966212814864
0.87291.9242077752260.221079472823146
0.88291.989241349180.208648914910638
0.89292.0564086734710.203783843663124
0.9292.1302500034080.212429092515837
0.91292.2169251520850.241068158339551
0.92292.3231732176010.289452750150485
0.93292.4539915725130.346756764421147
0.94292.6097131425770.393361210485755
0.95292.7840416966240.407670429207935
0.96292.9643747806590.378492260729317
0.97293.1338153562240.311769466269697
0.98293.2730349053420.217570799925792
0.99293.3637693424130.100390984476524

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.7621270252245 & 0.287327057993418 \tabularnewline
0.02 & 98.9477746419828 & 0.29226963423555 \tabularnewline
0.03 & 99.1514007822219 & 0.364146884354803 \tabularnewline
0.04 & 99.3641370569745 & 0.444309760000796 \tabularnewline
0.05 & 99.5876223151344 & 0.514673372991605 \tabularnewline
0.06 & 99.8220218047116 & 0.58201822265466 \tabularnewline
0.07 & 100.067501377702 & 0.655159400687172 \tabularnewline
0.08 & 100.326585967036 & 0.744454066688529 \tabularnewline
0.09 & 100.604377150127 & 0.860653011684028 \tabularnewline
0.1 & 100.907228996955 & 1.00665348100948 \tabularnewline
0.11 & 101.240388223332 & 1.17073287461327 \tabularnewline
0.12 & 101.60530822364 & 1.32900422981031 \tabularnewline
0.13 & 101.997778871724 & 1.45393690384308 \tabularnewline
0.14 & 102.407810394251 & 1.52356645601693 \tabularnewline
0.15 & 102.821396699162 & 1.52773733598851 \tabularnewline
0.16 & 103.223446278374 & 1.47008124815739 \tabularnewline
0.17 & 103.600784944572 & 1.36481475877145 \tabularnewline
0.18 & 103.944297726028 & 1.23208511700286 \tabularnewline
0.19 & 104.249775463241 & 1.09261052110678 \tabularnewline
0.2 & 104.517560450849 & 0.96307000004517 \tabularnewline
0.21 & 104.751423989274 & 0.854276540884071 \tabularnewline
0.22 & 104.9571900042 & 0.771567533847109 \tabularnewline
0.23 & 105.141503414059 & 0.715944356711943 \tabularnewline
0.24 & 105.310944639719 & 0.68571354095971 \tabularnewline
0.25 & 105.471514022031 & 0.678031172782165 \tabularnewline
0.26 & 105.628404862425 & 0.689965008552358 \tabularnewline
0.27 & 105.785955107261 & 0.718142069821707 \tabularnewline
0.28 & 105.947689465243 & 0.7594142121079 \tabularnewline
0.29 & 106.116403208552 & 0.810933230225066 \tabularnewline
0.3 & 106.294271900181 & 0.870046649048615 \tabularnewline
0.31 & 106.482987659567 & 0.935251420796144 \tabularnewline
0.32 & 106.683924002235 & 1.00563300653969 \tabularnewline
0.33 & 106.898325726048 & 1.08171972593949 \tabularnewline
0.34 & 107.127516566801 & 1.16415997994089 \tabularnewline
0.35 & 107.373121549873 & 1.25593705237636 \tabularnewline
0.36 & 107.637315419354 & 1.36023829297336 \tabularnewline
0.37 & 107.923132249149 & 1.48208441959126 \tabularnewline
0.38 & 108.234901360127 & 1.62877569251739 \tabularnewline
0.39 & 108.578906929818 & 1.81138286287456 \tabularnewline
0.4 & 108.96439774838 & 2.04762830691107 \tabularnewline
0.41 & 109.405090954558 & 2.36523528768092 \tabularnewline
0.42 & 109.921305524938 & 2.8053566243518 \tabularnewline
0.43 & 110.542807884887 & 3.42954682640588 \tabularnewline
0.44 & 111.312330019512 & 4.32091797317804 \tabularnewline
0.45 & 112.289511692933 & 5.58583403711339 \tabularnewline
0.46 & 113.554723507258 & 7.35092909259293 \tabularnewline
0.47 & 115.211881956541 & 9.7521928709872 \tabularnewline
0.48 & 117.389052449678 & 12.9199422276013 \tabularnewline
0.49 & 120.235475310367 & 16.9554723221765 \tabularnewline
0.5 & 123.913785255477 & 21.9025507542397 \tabularnewline
0.51 & 128.58674084475 & 27.7169440467329 \tabularnewline
0.52 & 134.398763353331 & 34.2407691744606 \tabularnewline
0.53 & 141.453891924629 & 41.1906329736065 \tabularnewline
0.54 & 149.793125334304 & 48.1634312292533 \tabularnewline
0.55 & 159.375155429527 & 54.6658738347967 \tabularnewline
0.56 & 170.064801946474 & 60.1699884231387 \tabularnewline
0.57 & 181.632753346652 & 64.1799526321943 \tabularnewline
0.58 & 193.768476077015 & 66.3069667552707 \tabularnewline
0.59 & 206.10566658773 & 66.3313139475928 \tabularnewline
0.6 & 218.256958064149 & 64.2408559366526 \tabularnewline
0.61 & 229.852460094351 & 60.2348709150029 \tabularnewline
0.62 & 240.575721066276 & 54.6938410187641 \tabularnewline
0.63 & 250.19117989869 & 48.1184479761202 \tabularnewline
0.64 & 258.559017526776 & 41.0547523417363 \tabularnewline
0.65 & 265.636032614437 & 34.0184352348077 \tabularnewline
0.66 & 271.464013251055 & 27.4314928591343 \tabularnewline
0.67 & 276.149318795414 & 21.5888857370481 \tabularnewline
0.68 & 279.838514644948 & 16.6459816178722 \tabularnewline
0.69 & 282.694775970388 & 12.633117534102 \tabularnewline
0.7 & 284.878623080928 & 9.48758725698101 \tabularnewline
0.71 & 286.534849993067 & 7.0875464929608 \tabularnewline
0.72 & 287.78580244916 & 5.28884370810089 \tabularnewline
0.73 & 288.729883532258 & 3.95262995626686 \tabularnewline
0.74 & 289.443526086479 & 2.96118265389604 \tabularnewline
0.75 & 289.984849637464 & 2.22453716634282 \tabularnewline
0.76 & 290.397624776485 & 1.67696428772391 \tabularnewline
0.77 & 290.714744195614 & 1.27138190722887 \tabularnewline
0.78 & 290.960923528689 & 0.973144147757467 \tabularnewline
0.79 & 291.154696448179 & 0.755411140285906 \tabularnewline
0.8 & 291.309901880707 & 0.597065838534527 \tabularnewline
0.81 & 291.43684070165 & 0.481488060527854 \tabularnewline
0.82 & 291.543193380227 & 0.397044943770927 \tabularnewline
0.83 & 291.634718798383 & 0.335500703544688 \tabularnewline
0.84 & 291.715741386396 & 0.291641990843406 \tabularnewline
0.85 & 291.789477648449 & 0.260511550746944 \tabularnewline
0.86 & 291.858317448381 & 0.237966212814864 \tabularnewline
0.87 & 291.924207775226 & 0.221079472823146 \tabularnewline
0.88 & 291.98924134918 & 0.208648914910638 \tabularnewline
0.89 & 292.056408673471 & 0.203783843663124 \tabularnewline
0.9 & 292.130250003408 & 0.212429092515837 \tabularnewline
0.91 & 292.216925152085 & 0.241068158339551 \tabularnewline
0.92 & 292.323173217601 & 0.289452750150485 \tabularnewline
0.93 & 292.453991572513 & 0.346756764421147 \tabularnewline
0.94 & 292.609713142577 & 0.393361210485755 \tabularnewline
0.95 & 292.784041696624 & 0.407670429207935 \tabularnewline
0.96 & 292.964374780659 & 0.378492260729317 \tabularnewline
0.97 & 293.133815356224 & 0.311769466269697 \tabularnewline
0.98 & 293.273034905342 & 0.217570799925792 \tabularnewline
0.99 & 293.363769342413 & 0.100390984476524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206954&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]98.7621270252245[/C][C]0.287327057993418[/C][/ROW]
[ROW][C]0.02[/C][C]98.9477746419828[/C][C]0.29226963423555[/C][/ROW]
[ROW][C]0.03[/C][C]99.1514007822219[/C][C]0.364146884354803[/C][/ROW]
[ROW][C]0.04[/C][C]99.3641370569745[/C][C]0.444309760000796[/C][/ROW]
[ROW][C]0.05[/C][C]99.5876223151344[/C][C]0.514673372991605[/C][/ROW]
[ROW][C]0.06[/C][C]99.8220218047116[/C][C]0.58201822265466[/C][/ROW]
[ROW][C]0.07[/C][C]100.067501377702[/C][C]0.655159400687172[/C][/ROW]
[ROW][C]0.08[/C][C]100.326585967036[/C][C]0.744454066688529[/C][/ROW]
[ROW][C]0.09[/C][C]100.604377150127[/C][C]0.860653011684028[/C][/ROW]
[ROW][C]0.1[/C][C]100.907228996955[/C][C]1.00665348100948[/C][/ROW]
[ROW][C]0.11[/C][C]101.240388223332[/C][C]1.17073287461327[/C][/ROW]
[ROW][C]0.12[/C][C]101.60530822364[/C][C]1.32900422981031[/C][/ROW]
[ROW][C]0.13[/C][C]101.997778871724[/C][C]1.45393690384308[/C][/ROW]
[ROW][C]0.14[/C][C]102.407810394251[/C][C]1.52356645601693[/C][/ROW]
[ROW][C]0.15[/C][C]102.821396699162[/C][C]1.52773733598851[/C][/ROW]
[ROW][C]0.16[/C][C]103.223446278374[/C][C]1.47008124815739[/C][/ROW]
[ROW][C]0.17[/C][C]103.600784944572[/C][C]1.36481475877145[/C][/ROW]
[ROW][C]0.18[/C][C]103.944297726028[/C][C]1.23208511700286[/C][/ROW]
[ROW][C]0.19[/C][C]104.249775463241[/C][C]1.09261052110678[/C][/ROW]
[ROW][C]0.2[/C][C]104.517560450849[/C][C]0.96307000004517[/C][/ROW]
[ROW][C]0.21[/C][C]104.751423989274[/C][C]0.854276540884071[/C][/ROW]
[ROW][C]0.22[/C][C]104.9571900042[/C][C]0.771567533847109[/C][/ROW]
[ROW][C]0.23[/C][C]105.141503414059[/C][C]0.715944356711943[/C][/ROW]
[ROW][C]0.24[/C][C]105.310944639719[/C][C]0.68571354095971[/C][/ROW]
[ROW][C]0.25[/C][C]105.471514022031[/C][C]0.678031172782165[/C][/ROW]
[ROW][C]0.26[/C][C]105.628404862425[/C][C]0.689965008552358[/C][/ROW]
[ROW][C]0.27[/C][C]105.785955107261[/C][C]0.718142069821707[/C][/ROW]
[ROW][C]0.28[/C][C]105.947689465243[/C][C]0.7594142121079[/C][/ROW]
[ROW][C]0.29[/C][C]106.116403208552[/C][C]0.810933230225066[/C][/ROW]
[ROW][C]0.3[/C][C]106.294271900181[/C][C]0.870046649048615[/C][/ROW]
[ROW][C]0.31[/C][C]106.482987659567[/C][C]0.935251420796144[/C][/ROW]
[ROW][C]0.32[/C][C]106.683924002235[/C][C]1.00563300653969[/C][/ROW]
[ROW][C]0.33[/C][C]106.898325726048[/C][C]1.08171972593949[/C][/ROW]
[ROW][C]0.34[/C][C]107.127516566801[/C][C]1.16415997994089[/C][/ROW]
[ROW][C]0.35[/C][C]107.373121549873[/C][C]1.25593705237636[/C][/ROW]
[ROW][C]0.36[/C][C]107.637315419354[/C][C]1.36023829297336[/C][/ROW]
[ROW][C]0.37[/C][C]107.923132249149[/C][C]1.48208441959126[/C][/ROW]
[ROW][C]0.38[/C][C]108.234901360127[/C][C]1.62877569251739[/C][/ROW]
[ROW][C]0.39[/C][C]108.578906929818[/C][C]1.81138286287456[/C][/ROW]
[ROW][C]0.4[/C][C]108.96439774838[/C][C]2.04762830691107[/C][/ROW]
[ROW][C]0.41[/C][C]109.405090954558[/C][C]2.36523528768092[/C][/ROW]
[ROW][C]0.42[/C][C]109.921305524938[/C][C]2.8053566243518[/C][/ROW]
[ROW][C]0.43[/C][C]110.542807884887[/C][C]3.42954682640588[/C][/ROW]
[ROW][C]0.44[/C][C]111.312330019512[/C][C]4.32091797317804[/C][/ROW]
[ROW][C]0.45[/C][C]112.289511692933[/C][C]5.58583403711339[/C][/ROW]
[ROW][C]0.46[/C][C]113.554723507258[/C][C]7.35092909259293[/C][/ROW]
[ROW][C]0.47[/C][C]115.211881956541[/C][C]9.7521928709872[/C][/ROW]
[ROW][C]0.48[/C][C]117.389052449678[/C][C]12.9199422276013[/C][/ROW]
[ROW][C]0.49[/C][C]120.235475310367[/C][C]16.9554723221765[/C][/ROW]
[ROW][C]0.5[/C][C]123.913785255477[/C][C]21.9025507542397[/C][/ROW]
[ROW][C]0.51[/C][C]128.58674084475[/C][C]27.7169440467329[/C][/ROW]
[ROW][C]0.52[/C][C]134.398763353331[/C][C]34.2407691744606[/C][/ROW]
[ROW][C]0.53[/C][C]141.453891924629[/C][C]41.1906329736065[/C][/ROW]
[ROW][C]0.54[/C][C]149.793125334304[/C][C]48.1634312292533[/C][/ROW]
[ROW][C]0.55[/C][C]159.375155429527[/C][C]54.6658738347967[/C][/ROW]
[ROW][C]0.56[/C][C]170.064801946474[/C][C]60.1699884231387[/C][/ROW]
[ROW][C]0.57[/C][C]181.632753346652[/C][C]64.1799526321943[/C][/ROW]
[ROW][C]0.58[/C][C]193.768476077015[/C][C]66.3069667552707[/C][/ROW]
[ROW][C]0.59[/C][C]206.10566658773[/C][C]66.3313139475928[/C][/ROW]
[ROW][C]0.6[/C][C]218.256958064149[/C][C]64.2408559366526[/C][/ROW]
[ROW][C]0.61[/C][C]229.852460094351[/C][C]60.2348709150029[/C][/ROW]
[ROW][C]0.62[/C][C]240.575721066276[/C][C]54.6938410187641[/C][/ROW]
[ROW][C]0.63[/C][C]250.19117989869[/C][C]48.1184479761202[/C][/ROW]
[ROW][C]0.64[/C][C]258.559017526776[/C][C]41.0547523417363[/C][/ROW]
[ROW][C]0.65[/C][C]265.636032614437[/C][C]34.0184352348077[/C][/ROW]
[ROW][C]0.66[/C][C]271.464013251055[/C][C]27.4314928591343[/C][/ROW]
[ROW][C]0.67[/C][C]276.149318795414[/C][C]21.5888857370481[/C][/ROW]
[ROW][C]0.68[/C][C]279.838514644948[/C][C]16.6459816178722[/C][/ROW]
[ROW][C]0.69[/C][C]282.694775970388[/C][C]12.633117534102[/C][/ROW]
[ROW][C]0.7[/C][C]284.878623080928[/C][C]9.48758725698101[/C][/ROW]
[ROW][C]0.71[/C][C]286.534849993067[/C][C]7.0875464929608[/C][/ROW]
[ROW][C]0.72[/C][C]287.78580244916[/C][C]5.28884370810089[/C][/ROW]
[ROW][C]0.73[/C][C]288.729883532258[/C][C]3.95262995626686[/C][/ROW]
[ROW][C]0.74[/C][C]289.443526086479[/C][C]2.96118265389604[/C][/ROW]
[ROW][C]0.75[/C][C]289.984849637464[/C][C]2.22453716634282[/C][/ROW]
[ROW][C]0.76[/C][C]290.397624776485[/C][C]1.67696428772391[/C][/ROW]
[ROW][C]0.77[/C][C]290.714744195614[/C][C]1.27138190722887[/C][/ROW]
[ROW][C]0.78[/C][C]290.960923528689[/C][C]0.973144147757467[/C][/ROW]
[ROW][C]0.79[/C][C]291.154696448179[/C][C]0.755411140285906[/C][/ROW]
[ROW][C]0.8[/C][C]291.309901880707[/C][C]0.597065838534527[/C][/ROW]
[ROW][C]0.81[/C][C]291.43684070165[/C][C]0.481488060527854[/C][/ROW]
[ROW][C]0.82[/C][C]291.543193380227[/C][C]0.397044943770927[/C][/ROW]
[ROW][C]0.83[/C][C]291.634718798383[/C][C]0.335500703544688[/C][/ROW]
[ROW][C]0.84[/C][C]291.715741386396[/C][C]0.291641990843406[/C][/ROW]
[ROW][C]0.85[/C][C]291.789477648449[/C][C]0.260511550746944[/C][/ROW]
[ROW][C]0.86[/C][C]291.858317448381[/C][C]0.237966212814864[/C][/ROW]
[ROW][C]0.87[/C][C]291.924207775226[/C][C]0.221079472823146[/C][/ROW]
[ROW][C]0.88[/C][C]291.98924134918[/C][C]0.208648914910638[/C][/ROW]
[ROW][C]0.89[/C][C]292.056408673471[/C][C]0.203783843663124[/C][/ROW]
[ROW][C]0.9[/C][C]292.130250003408[/C][C]0.212429092515837[/C][/ROW]
[ROW][C]0.91[/C][C]292.216925152085[/C][C]0.241068158339551[/C][/ROW]
[ROW][C]0.92[/C][C]292.323173217601[/C][C]0.289452750150485[/C][/ROW]
[ROW][C]0.93[/C][C]292.453991572513[/C][C]0.346756764421147[/C][/ROW]
[ROW][C]0.94[/C][C]292.609713142577[/C][C]0.393361210485755[/C][/ROW]
[ROW][C]0.95[/C][C]292.784041696624[/C][C]0.407670429207935[/C][/ROW]
[ROW][C]0.96[/C][C]292.964374780659[/C][C]0.378492260729317[/C][/ROW]
[ROW][C]0.97[/C][C]293.133815356224[/C][C]0.311769466269697[/C][/ROW]
[ROW][C]0.98[/C][C]293.273034905342[/C][C]0.217570799925792[/C][/ROW]
[ROW][C]0.99[/C][C]293.363769342413[/C][C]0.100390984476524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206954&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206954&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
0.0198.76212702522450.287327057993418
0.0298.94777464198280.29226963423555
0.0399.15140078222190.364146884354803
0.0499.36413705697450.444309760000796
0.0599.58762231513440.514673372991605
0.0699.82202180471160.58201822265466
0.07100.0675013777020.655159400687172
0.08100.3265859670360.744454066688529
0.09100.6043771501270.860653011684028
0.1100.9072289969551.00665348100948
0.11101.2403882233321.17073287461327
0.12101.605308223641.32900422981031
0.13101.9977788717241.45393690384308
0.14102.4078103942511.52356645601693
0.15102.8213966991621.52773733598851
0.16103.2234462783741.47008124815739
0.17103.6007849445721.36481475877145
0.18103.9442977260281.23208511700286
0.19104.2497754632411.09261052110678
0.2104.5175604508490.96307000004517
0.21104.7514239892740.854276540884071
0.22104.95719000420.771567533847109
0.23105.1415034140590.715944356711943
0.24105.3109446397190.68571354095971
0.25105.4715140220310.678031172782165
0.26105.6284048624250.689965008552358
0.27105.7859551072610.718142069821707
0.28105.9476894652430.7594142121079
0.29106.1164032085520.810933230225066
0.3106.2942719001810.870046649048615
0.31106.4829876595670.935251420796144
0.32106.6839240022351.00563300653969
0.33106.8983257260481.08171972593949
0.34107.1275165668011.16415997994089
0.35107.3731215498731.25593705237636
0.36107.6373154193541.36023829297336
0.37107.9231322491491.48208441959126
0.38108.2349013601271.62877569251739
0.39108.5789069298181.81138286287456
0.4108.964397748382.04762830691107
0.41109.4050909545582.36523528768092
0.42109.9213055249382.8053566243518
0.43110.5428078848873.42954682640588
0.44111.3123300195124.32091797317804
0.45112.2895116929335.58583403711339
0.46113.5547235072587.35092909259293
0.47115.2118819565419.7521928709872
0.48117.38905244967812.9199422276013
0.49120.23547531036716.9554723221765
0.5123.91378525547721.9025507542397
0.51128.5867408447527.7169440467329
0.52134.39876335333134.2407691744606
0.53141.45389192462941.1906329736065
0.54149.79312533430448.1634312292533
0.55159.37515542952754.6658738347967
0.56170.06480194647460.1699884231387
0.57181.63275334665264.1799526321943
0.58193.76847607701566.3069667552707
0.59206.1056665877366.3313139475928
0.6218.25695806414964.2408559366526
0.61229.85246009435160.2348709150029
0.62240.57572106627654.6938410187641
0.63250.1911798986948.1184479761202
0.64258.55901752677641.0547523417363
0.65265.63603261443734.0184352348077
0.66271.46401325105527.4314928591343
0.67276.14931879541421.5888857370481
0.68279.83851464494816.6459816178722
0.69282.69477597038812.633117534102
0.7284.8786230809289.48758725698101
0.71286.5348499930677.0875464929608
0.72287.785802449165.28884370810089
0.73288.7298835322583.95262995626686
0.74289.4435260864792.96118265389604
0.75289.9848496374642.22453716634282
0.76290.3976247764851.67696428772391
0.77290.7147441956141.27138190722887
0.78290.9609235286890.973144147757467
0.79291.1546964481790.755411140285906
0.8291.3099018807070.597065838534527
0.81291.436840701650.481488060527854
0.82291.5431933802270.397044943770927
0.83291.6347187983830.335500703544688
0.84291.7157413863960.291641990843406
0.85291.7894776484490.260511550746944
0.86291.8583174483810.237966212814864
0.87291.9242077752260.221079472823146
0.88291.989241349180.208648914910638
0.89292.0564086734710.203783843663124
0.9292.1302500034080.212429092515837
0.91292.2169251520850.241068158339551
0.92292.3231732176010.289452750150485
0.93292.4539915725130.346756764421147
0.94292.6097131425770.393361210485755
0.95292.7840416966240.407670429207935
0.96292.9643747806590.378492260729317
0.97293.1338153562240.311769466269697
0.98293.2730349053420.217570799925792
0.99293.3637693424130.100390984476524


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 <- '0.99'
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')