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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 computationThu, 08 Oct 2015 16:28:17 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/08/t1444318138t0qesbqaux6to5d.htm/, Retrieved Wed, 15 May 2024 14:43:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281498, Retrieved Wed, 15 May 2024 14:43:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2015-10-08 15:09:49] [49d4cf75dfccc6ca755ccaaecab7ea56]
- RMPD    [Harrell-Davis Quantiles] [] [2015-10-08 15:28:17] [51347023fbb3308e181ecc8c43b3ca65] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
250.71
251.57
260.85
265.47
262.37
272.39
277.49
274.41
274.42
267.1
258.84
253.97
253.88
253.3
249.86
246
248.42
250.29
246.9
255.2
253.33
251.02
254.5
253.18
256.03
262.15
259.94
253.75
247.69
242.42
231.82
235.88
240.68
260.15
265.32
265.02
279.86
298.3
304.14
295.26
281.93
280.46
272.06
270.05
271.84
268.49
270.92
273.22
269.43
271.21
265.4
265.53
276.78
281.49
283.75
281.45
282.1
274.01
275.51
277.62
275.33
271.15
270.89
265.29
266.96
266.87
267.68
272.37
285.05
296.79
309.15
304.19
307.33
290.68
292.26
294.81
293.67
293.57
286.28
278.93
284.22
282.09
282.26
285.79
294.01
292.73
303.01
298.67
292.38
295.7
294.9
299.46
299.75
294.76
297.68
300.24
302.48
310.2
311.49
307.37
304.58
305.87
309.81
313.91
313.2
307.85
306.89
310.83

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=281498&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=281498&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281498&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
0.01234.3809514374434.18063629931044
0.02238.0488374736464.25858747293994
0.03241.296401682383.88489665184225
0.04243.8169661175763.33979613452101
0.05245.7218079992922.80095244905739
0.06247.1722825122762.37144283404131
0.07248.309887633692.08845790465722
0.08249.2427391033421.91595771897678
0.09250.0432789351731.8072734432301
0.1250.7553084860031.73456286738514
0.11251.4046776822141.68436806801337
0.12252.0084567910111.65263967265956
0.13252.5816979929331.65238394651451
0.14253.1420652767971.7124462811686
0.15253.71163304271.86056665310309
0.16254.3151312084412.10368482920474
0.17254.9753132197232.42050996519364
0.18255.7075232611142.76804246819793
0.19256.5157934845833.09743943786682
0.2257.3918873936183.36528684345506
0.21258.3173350820273.54188932474642
0.22259.2674397344933.61511729974605
0.23260.2158544358273.58742757270729
0.24261.1385749673393.47536734893206
0.25262.0167426181263.30055847649621
0.26262.8381551297963.08881446966457
0.27263.5976561532482.86681430863225
0.28264.2966255700742.65921969687604
0.29264.9417535711092.48700632381274
0.3265.5432736366622.36226312708035
0.31266.112892069972.28768829434187
0.32266.6617385296472.25764914721124
0.33267.1986972796772.25583486981307
0.34267.7294155372942.26603527611975
0.35268.2561308790342.27272793540407
0.36268.7782649285652.26487288067081
0.37269.2935591410882.23927339105872
0.38269.7994290591722.19919035409491
0.39270.2942054653892.15210923562394
0.4270.7780045031582.10926332668176
0.41271.2530930850182.08146060433285
0.42271.7237506027212.08002784641692
0.43272.1957360975382.10825080854116
0.44272.6755280004072.16874026637707
0.45273.1695066173792.2560240763542
0.46273.6832111665862.36643649279142
0.47274.220747974392.49105178217321
0.48274.7843796668332.62013625676198
0.49275.3743028770452.74323574156459
0.5275.9886254631722.85195020723857
0.51276.6235709213772.93663564484316
0.52277.2739474572252.99290857005972
0.53277.9339035631733.01788853361995
0.54278.5979425800923.01551318843345
0.55279.2620920330712.99456906424584
0.56279.9250400099032.96941350921374
0.57280.5889891667282.96061585847854
0.58281.2599670109812.98729496283593
0.59281.9473869618223.06546845708513
0.6282.6627798739543.2037356621536
0.61283.4177927165323.39697027823965
0.62284.2217449665683.62838807852184
0.63285.0791970116383.86906579801985
0.64285.9880684568154.08290680994755
0.65286.9388073655044.23468770010712
0.66287.9149385297794.29599146714963
0.67288.8950319907724.24895211329611
0.68289.8557956502394.09348116425288
0.69290.7757002212783.84389906867772
0.7291.6383835566433.53162102753024
0.71292.4351126406923.1943399169866
0.72293.165803994552.87195510209061
0.73293.8384548597942.60014201123011
0.74294.4672179710822.40201411728728
0.75295.0696573341262.28723465151362
0.76295.6638708396372.24935150236449
0.77296.2661176184022.27090070351374
0.78296.8893525398372.33265082135163
0.79297.5427141815692.41550753887141
0.8298.2316641973062.50584973188732
0.81298.9582963969222.59319945882716
0.82299.7214381417452.66698263964573
0.83300.5165208987372.71513584249799
0.84301.3355766789032.72488376050566
0.85302.1678207194072.68723816587585
0.86303.0009807331672.60131668708217
0.87303.8230689397232.47394522330913
0.88304.6241271544312.3166701178553
0.89305.3977777263742.14320349924797
0.9306.1426664801711.96725664458477
0.91306.8633474046941.80684960918524
0.92307.5691894061671.6767127887123
0.93308.2705470039691.5741731809532
0.94308.9754013971441.47444340229588
0.95309.6940896435291.36288728298104
0.96310.4554711123791.27774111402448
0.97311.3154704409331.28977784150464
0.98312.3080455518931.32295380554489
0.99313.3043895308911.07359336088741

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 234.380951437443 & 4.18063629931044 \tabularnewline
0.02 & 238.048837473646 & 4.25858747293994 \tabularnewline
0.03 & 241.29640168238 & 3.88489665184225 \tabularnewline
0.04 & 243.816966117576 & 3.33979613452101 \tabularnewline
0.05 & 245.721807999292 & 2.80095244905739 \tabularnewline
0.06 & 247.172282512276 & 2.37144283404131 \tabularnewline
0.07 & 248.30988763369 & 2.08845790465722 \tabularnewline
0.08 & 249.242739103342 & 1.91595771897678 \tabularnewline
0.09 & 250.043278935173 & 1.8072734432301 \tabularnewline
0.1 & 250.755308486003 & 1.73456286738514 \tabularnewline
0.11 & 251.404677682214 & 1.68436806801337 \tabularnewline
0.12 & 252.008456791011 & 1.65263967265956 \tabularnewline
0.13 & 252.581697992933 & 1.65238394651451 \tabularnewline
0.14 & 253.142065276797 & 1.7124462811686 \tabularnewline
0.15 & 253.7116330427 & 1.86056665310309 \tabularnewline
0.16 & 254.315131208441 & 2.10368482920474 \tabularnewline
0.17 & 254.975313219723 & 2.42050996519364 \tabularnewline
0.18 & 255.707523261114 & 2.76804246819793 \tabularnewline
0.19 & 256.515793484583 & 3.09743943786682 \tabularnewline
0.2 & 257.391887393618 & 3.36528684345506 \tabularnewline
0.21 & 258.317335082027 & 3.54188932474642 \tabularnewline
0.22 & 259.267439734493 & 3.61511729974605 \tabularnewline
0.23 & 260.215854435827 & 3.58742757270729 \tabularnewline
0.24 & 261.138574967339 & 3.47536734893206 \tabularnewline
0.25 & 262.016742618126 & 3.30055847649621 \tabularnewline
0.26 & 262.838155129796 & 3.08881446966457 \tabularnewline
0.27 & 263.597656153248 & 2.86681430863225 \tabularnewline
0.28 & 264.296625570074 & 2.65921969687604 \tabularnewline
0.29 & 264.941753571109 & 2.48700632381274 \tabularnewline
0.3 & 265.543273636662 & 2.36226312708035 \tabularnewline
0.31 & 266.11289206997 & 2.28768829434187 \tabularnewline
0.32 & 266.661738529647 & 2.25764914721124 \tabularnewline
0.33 & 267.198697279677 & 2.25583486981307 \tabularnewline
0.34 & 267.729415537294 & 2.26603527611975 \tabularnewline
0.35 & 268.256130879034 & 2.27272793540407 \tabularnewline
0.36 & 268.778264928565 & 2.26487288067081 \tabularnewline
0.37 & 269.293559141088 & 2.23927339105872 \tabularnewline
0.38 & 269.799429059172 & 2.19919035409491 \tabularnewline
0.39 & 270.294205465389 & 2.15210923562394 \tabularnewline
0.4 & 270.778004503158 & 2.10926332668176 \tabularnewline
0.41 & 271.253093085018 & 2.08146060433285 \tabularnewline
0.42 & 271.723750602721 & 2.08002784641692 \tabularnewline
0.43 & 272.195736097538 & 2.10825080854116 \tabularnewline
0.44 & 272.675528000407 & 2.16874026637707 \tabularnewline
0.45 & 273.169506617379 & 2.2560240763542 \tabularnewline
0.46 & 273.683211166586 & 2.36643649279142 \tabularnewline
0.47 & 274.22074797439 & 2.49105178217321 \tabularnewline
0.48 & 274.784379666833 & 2.62013625676198 \tabularnewline
0.49 & 275.374302877045 & 2.74323574156459 \tabularnewline
0.5 & 275.988625463172 & 2.85195020723857 \tabularnewline
0.51 & 276.623570921377 & 2.93663564484316 \tabularnewline
0.52 & 277.273947457225 & 2.99290857005972 \tabularnewline
0.53 & 277.933903563173 & 3.01788853361995 \tabularnewline
0.54 & 278.597942580092 & 3.01551318843345 \tabularnewline
0.55 & 279.262092033071 & 2.99456906424584 \tabularnewline
0.56 & 279.925040009903 & 2.96941350921374 \tabularnewline
0.57 & 280.588989166728 & 2.96061585847854 \tabularnewline
0.58 & 281.259967010981 & 2.98729496283593 \tabularnewline
0.59 & 281.947386961822 & 3.06546845708513 \tabularnewline
0.6 & 282.662779873954 & 3.2037356621536 \tabularnewline
0.61 & 283.417792716532 & 3.39697027823965 \tabularnewline
0.62 & 284.221744966568 & 3.62838807852184 \tabularnewline
0.63 & 285.079197011638 & 3.86906579801985 \tabularnewline
0.64 & 285.988068456815 & 4.08290680994755 \tabularnewline
0.65 & 286.938807365504 & 4.23468770010712 \tabularnewline
0.66 & 287.914938529779 & 4.29599146714963 \tabularnewline
0.67 & 288.895031990772 & 4.24895211329611 \tabularnewline
0.68 & 289.855795650239 & 4.09348116425288 \tabularnewline
0.69 & 290.775700221278 & 3.84389906867772 \tabularnewline
0.7 & 291.638383556643 & 3.53162102753024 \tabularnewline
0.71 & 292.435112640692 & 3.1943399169866 \tabularnewline
0.72 & 293.16580399455 & 2.87195510209061 \tabularnewline
0.73 & 293.838454859794 & 2.60014201123011 \tabularnewline
0.74 & 294.467217971082 & 2.40201411728728 \tabularnewline
0.75 & 295.069657334126 & 2.28723465151362 \tabularnewline
0.76 & 295.663870839637 & 2.24935150236449 \tabularnewline
0.77 & 296.266117618402 & 2.27090070351374 \tabularnewline
0.78 & 296.889352539837 & 2.33265082135163 \tabularnewline
0.79 & 297.542714181569 & 2.41550753887141 \tabularnewline
0.8 & 298.231664197306 & 2.50584973188732 \tabularnewline
0.81 & 298.958296396922 & 2.59319945882716 \tabularnewline
0.82 & 299.721438141745 & 2.66698263964573 \tabularnewline
0.83 & 300.516520898737 & 2.71513584249799 \tabularnewline
0.84 & 301.335576678903 & 2.72488376050566 \tabularnewline
0.85 & 302.167820719407 & 2.68723816587585 \tabularnewline
0.86 & 303.000980733167 & 2.60131668708217 \tabularnewline
0.87 & 303.823068939723 & 2.47394522330913 \tabularnewline
0.88 & 304.624127154431 & 2.3166701178553 \tabularnewline
0.89 & 305.397777726374 & 2.14320349924797 \tabularnewline
0.9 & 306.142666480171 & 1.96725664458477 \tabularnewline
0.91 & 306.863347404694 & 1.80684960918524 \tabularnewline
0.92 & 307.569189406167 & 1.6767127887123 \tabularnewline
0.93 & 308.270547003969 & 1.5741731809532 \tabularnewline
0.94 & 308.975401397144 & 1.47444340229588 \tabularnewline
0.95 & 309.694089643529 & 1.36288728298104 \tabularnewline
0.96 & 310.455471112379 & 1.27774111402448 \tabularnewline
0.97 & 311.315470440933 & 1.28977784150464 \tabularnewline
0.98 & 312.308045551893 & 1.32295380554489 \tabularnewline
0.99 & 313.304389530891 & 1.07359336088741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281498&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]234.380951437443[/C][C]4.18063629931044[/C][/ROW]
[ROW][C]0.02[/C][C]238.048837473646[/C][C]4.25858747293994[/C][/ROW]
[ROW][C]0.03[/C][C]241.29640168238[/C][C]3.88489665184225[/C][/ROW]
[ROW][C]0.04[/C][C]243.816966117576[/C][C]3.33979613452101[/C][/ROW]
[ROW][C]0.05[/C][C]245.721807999292[/C][C]2.80095244905739[/C][/ROW]
[ROW][C]0.06[/C][C]247.172282512276[/C][C]2.37144283404131[/C][/ROW]
[ROW][C]0.07[/C][C]248.30988763369[/C][C]2.08845790465722[/C][/ROW]
[ROW][C]0.08[/C][C]249.242739103342[/C][C]1.91595771897678[/C][/ROW]
[ROW][C]0.09[/C][C]250.043278935173[/C][C]1.8072734432301[/C][/ROW]
[ROW][C]0.1[/C][C]250.755308486003[/C][C]1.73456286738514[/C][/ROW]
[ROW][C]0.11[/C][C]251.404677682214[/C][C]1.68436806801337[/C][/ROW]
[ROW][C]0.12[/C][C]252.008456791011[/C][C]1.65263967265956[/C][/ROW]
[ROW][C]0.13[/C][C]252.581697992933[/C][C]1.65238394651451[/C][/ROW]
[ROW][C]0.14[/C][C]253.142065276797[/C][C]1.7124462811686[/C][/ROW]
[ROW][C]0.15[/C][C]253.7116330427[/C][C]1.86056665310309[/C][/ROW]
[ROW][C]0.16[/C][C]254.315131208441[/C][C]2.10368482920474[/C][/ROW]
[ROW][C]0.17[/C][C]254.975313219723[/C][C]2.42050996519364[/C][/ROW]
[ROW][C]0.18[/C][C]255.707523261114[/C][C]2.76804246819793[/C][/ROW]
[ROW][C]0.19[/C][C]256.515793484583[/C][C]3.09743943786682[/C][/ROW]
[ROW][C]0.2[/C][C]257.391887393618[/C][C]3.36528684345506[/C][/ROW]
[ROW][C]0.21[/C][C]258.317335082027[/C][C]3.54188932474642[/C][/ROW]
[ROW][C]0.22[/C][C]259.267439734493[/C][C]3.61511729974605[/C][/ROW]
[ROW][C]0.23[/C][C]260.215854435827[/C][C]3.58742757270729[/C][/ROW]
[ROW][C]0.24[/C][C]261.138574967339[/C][C]3.47536734893206[/C][/ROW]
[ROW][C]0.25[/C][C]262.016742618126[/C][C]3.30055847649621[/C][/ROW]
[ROW][C]0.26[/C][C]262.838155129796[/C][C]3.08881446966457[/C][/ROW]
[ROW][C]0.27[/C][C]263.597656153248[/C][C]2.86681430863225[/C][/ROW]
[ROW][C]0.28[/C][C]264.296625570074[/C][C]2.65921969687604[/C][/ROW]
[ROW][C]0.29[/C][C]264.941753571109[/C][C]2.48700632381274[/C][/ROW]
[ROW][C]0.3[/C][C]265.543273636662[/C][C]2.36226312708035[/C][/ROW]
[ROW][C]0.31[/C][C]266.11289206997[/C][C]2.28768829434187[/C][/ROW]
[ROW][C]0.32[/C][C]266.661738529647[/C][C]2.25764914721124[/C][/ROW]
[ROW][C]0.33[/C][C]267.198697279677[/C][C]2.25583486981307[/C][/ROW]
[ROW][C]0.34[/C][C]267.729415537294[/C][C]2.26603527611975[/C][/ROW]
[ROW][C]0.35[/C][C]268.256130879034[/C][C]2.27272793540407[/C][/ROW]
[ROW][C]0.36[/C][C]268.778264928565[/C][C]2.26487288067081[/C][/ROW]
[ROW][C]0.37[/C][C]269.293559141088[/C][C]2.23927339105872[/C][/ROW]
[ROW][C]0.38[/C][C]269.799429059172[/C][C]2.19919035409491[/C][/ROW]
[ROW][C]0.39[/C][C]270.294205465389[/C][C]2.15210923562394[/C][/ROW]
[ROW][C]0.4[/C][C]270.778004503158[/C][C]2.10926332668176[/C][/ROW]
[ROW][C]0.41[/C][C]271.253093085018[/C][C]2.08146060433285[/C][/ROW]
[ROW][C]0.42[/C][C]271.723750602721[/C][C]2.08002784641692[/C][/ROW]
[ROW][C]0.43[/C][C]272.195736097538[/C][C]2.10825080854116[/C][/ROW]
[ROW][C]0.44[/C][C]272.675528000407[/C][C]2.16874026637707[/C][/ROW]
[ROW][C]0.45[/C][C]273.169506617379[/C][C]2.2560240763542[/C][/ROW]
[ROW][C]0.46[/C][C]273.683211166586[/C][C]2.36643649279142[/C][/ROW]
[ROW][C]0.47[/C][C]274.22074797439[/C][C]2.49105178217321[/C][/ROW]
[ROW][C]0.48[/C][C]274.784379666833[/C][C]2.62013625676198[/C][/ROW]
[ROW][C]0.49[/C][C]275.374302877045[/C][C]2.74323574156459[/C][/ROW]
[ROW][C]0.5[/C][C]275.988625463172[/C][C]2.85195020723857[/C][/ROW]
[ROW][C]0.51[/C][C]276.623570921377[/C][C]2.93663564484316[/C][/ROW]
[ROW][C]0.52[/C][C]277.273947457225[/C][C]2.99290857005972[/C][/ROW]
[ROW][C]0.53[/C][C]277.933903563173[/C][C]3.01788853361995[/C][/ROW]
[ROW][C]0.54[/C][C]278.597942580092[/C][C]3.01551318843345[/C][/ROW]
[ROW][C]0.55[/C][C]279.262092033071[/C][C]2.99456906424584[/C][/ROW]
[ROW][C]0.56[/C][C]279.925040009903[/C][C]2.96941350921374[/C][/ROW]
[ROW][C]0.57[/C][C]280.588989166728[/C][C]2.96061585847854[/C][/ROW]
[ROW][C]0.58[/C][C]281.259967010981[/C][C]2.98729496283593[/C][/ROW]
[ROW][C]0.59[/C][C]281.947386961822[/C][C]3.06546845708513[/C][/ROW]
[ROW][C]0.6[/C][C]282.662779873954[/C][C]3.2037356621536[/C][/ROW]
[ROW][C]0.61[/C][C]283.417792716532[/C][C]3.39697027823965[/C][/ROW]
[ROW][C]0.62[/C][C]284.221744966568[/C][C]3.62838807852184[/C][/ROW]
[ROW][C]0.63[/C][C]285.079197011638[/C][C]3.86906579801985[/C][/ROW]
[ROW][C]0.64[/C][C]285.988068456815[/C][C]4.08290680994755[/C][/ROW]
[ROW][C]0.65[/C][C]286.938807365504[/C][C]4.23468770010712[/C][/ROW]
[ROW][C]0.66[/C][C]287.914938529779[/C][C]4.29599146714963[/C][/ROW]
[ROW][C]0.67[/C][C]288.895031990772[/C][C]4.24895211329611[/C][/ROW]
[ROW][C]0.68[/C][C]289.855795650239[/C][C]4.09348116425288[/C][/ROW]
[ROW][C]0.69[/C][C]290.775700221278[/C][C]3.84389906867772[/C][/ROW]
[ROW][C]0.7[/C][C]291.638383556643[/C][C]3.53162102753024[/C][/ROW]
[ROW][C]0.71[/C][C]292.435112640692[/C][C]3.1943399169866[/C][/ROW]
[ROW][C]0.72[/C][C]293.16580399455[/C][C]2.87195510209061[/C][/ROW]
[ROW][C]0.73[/C][C]293.838454859794[/C][C]2.60014201123011[/C][/ROW]
[ROW][C]0.74[/C][C]294.467217971082[/C][C]2.40201411728728[/C][/ROW]
[ROW][C]0.75[/C][C]295.069657334126[/C][C]2.28723465151362[/C][/ROW]
[ROW][C]0.76[/C][C]295.663870839637[/C][C]2.24935150236449[/C][/ROW]
[ROW][C]0.77[/C][C]296.266117618402[/C][C]2.27090070351374[/C][/ROW]
[ROW][C]0.78[/C][C]296.889352539837[/C][C]2.33265082135163[/C][/ROW]
[ROW][C]0.79[/C][C]297.542714181569[/C][C]2.41550753887141[/C][/ROW]
[ROW][C]0.8[/C][C]298.231664197306[/C][C]2.50584973188732[/C][/ROW]
[ROW][C]0.81[/C][C]298.958296396922[/C][C]2.59319945882716[/C][/ROW]
[ROW][C]0.82[/C][C]299.721438141745[/C][C]2.66698263964573[/C][/ROW]
[ROW][C]0.83[/C][C]300.516520898737[/C][C]2.71513584249799[/C][/ROW]
[ROW][C]0.84[/C][C]301.335576678903[/C][C]2.72488376050566[/C][/ROW]
[ROW][C]0.85[/C][C]302.167820719407[/C][C]2.68723816587585[/C][/ROW]
[ROW][C]0.86[/C][C]303.000980733167[/C][C]2.60131668708217[/C][/ROW]
[ROW][C]0.87[/C][C]303.823068939723[/C][C]2.47394522330913[/C][/ROW]
[ROW][C]0.88[/C][C]304.624127154431[/C][C]2.3166701178553[/C][/ROW]
[ROW][C]0.89[/C][C]305.397777726374[/C][C]2.14320349924797[/C][/ROW]
[ROW][C]0.9[/C][C]306.142666480171[/C][C]1.96725664458477[/C][/ROW]
[ROW][C]0.91[/C][C]306.863347404694[/C][C]1.80684960918524[/C][/ROW]
[ROW][C]0.92[/C][C]307.569189406167[/C][C]1.6767127887123[/C][/ROW]
[ROW][C]0.93[/C][C]308.270547003969[/C][C]1.5741731809532[/C][/ROW]
[ROW][C]0.94[/C][C]308.975401397144[/C][C]1.47444340229588[/C][/ROW]
[ROW][C]0.95[/C][C]309.694089643529[/C][C]1.36288728298104[/C][/ROW]
[ROW][C]0.96[/C][C]310.455471112379[/C][C]1.27774111402448[/C][/ROW]
[ROW][C]0.97[/C][C]311.315470440933[/C][C]1.28977784150464[/C][/ROW]
[ROW][C]0.98[/C][C]312.308045551893[/C][C]1.32295380554489[/C][/ROW]
[ROW][C]0.99[/C][C]313.304389530891[/C][C]1.07359336088741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281498&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281498&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
0.01234.3809514374434.18063629931044
0.02238.0488374736464.25858747293994
0.03241.296401682383.88489665184225
0.04243.8169661175763.33979613452101
0.05245.7218079992922.80095244905739
0.06247.1722825122762.37144283404131
0.07248.309887633692.08845790465722
0.08249.2427391033421.91595771897678
0.09250.0432789351731.8072734432301
0.1250.7553084860031.73456286738514
0.11251.4046776822141.68436806801337
0.12252.0084567910111.65263967265956
0.13252.5816979929331.65238394651451
0.14253.1420652767971.7124462811686
0.15253.71163304271.86056665310309
0.16254.3151312084412.10368482920474
0.17254.9753132197232.42050996519364
0.18255.7075232611142.76804246819793
0.19256.5157934845833.09743943786682
0.2257.3918873936183.36528684345506
0.21258.3173350820273.54188932474642
0.22259.2674397344933.61511729974605
0.23260.2158544358273.58742757270729
0.24261.1385749673393.47536734893206
0.25262.0167426181263.30055847649621
0.26262.8381551297963.08881446966457
0.27263.5976561532482.86681430863225
0.28264.2966255700742.65921969687604
0.29264.9417535711092.48700632381274
0.3265.5432736366622.36226312708035
0.31266.112892069972.28768829434187
0.32266.6617385296472.25764914721124
0.33267.1986972796772.25583486981307
0.34267.7294155372942.26603527611975
0.35268.2561308790342.27272793540407
0.36268.7782649285652.26487288067081
0.37269.2935591410882.23927339105872
0.38269.7994290591722.19919035409491
0.39270.2942054653892.15210923562394
0.4270.7780045031582.10926332668176
0.41271.2530930850182.08146060433285
0.42271.7237506027212.08002784641692
0.43272.1957360975382.10825080854116
0.44272.6755280004072.16874026637707
0.45273.1695066173792.2560240763542
0.46273.6832111665862.36643649279142
0.47274.220747974392.49105178217321
0.48274.7843796668332.62013625676198
0.49275.3743028770452.74323574156459
0.5275.9886254631722.85195020723857
0.51276.6235709213772.93663564484316
0.52277.2739474572252.99290857005972
0.53277.9339035631733.01788853361995
0.54278.5979425800923.01551318843345
0.55279.2620920330712.99456906424584
0.56279.9250400099032.96941350921374
0.57280.5889891667282.96061585847854
0.58281.2599670109812.98729496283593
0.59281.9473869618223.06546845708513
0.6282.6627798739543.2037356621536
0.61283.4177927165323.39697027823965
0.62284.2217449665683.62838807852184
0.63285.0791970116383.86906579801985
0.64285.9880684568154.08290680994755
0.65286.9388073655044.23468770010712
0.66287.9149385297794.29599146714963
0.67288.8950319907724.24895211329611
0.68289.8557956502394.09348116425288
0.69290.7757002212783.84389906867772
0.7291.6383835566433.53162102753024
0.71292.4351126406923.1943399169866
0.72293.165803994552.87195510209061
0.73293.8384548597942.60014201123011
0.74294.4672179710822.40201411728728
0.75295.0696573341262.28723465151362
0.76295.6638708396372.24935150236449
0.77296.2661176184022.27090070351374
0.78296.8893525398372.33265082135163
0.79297.5427141815692.41550753887141
0.8298.2316641973062.50584973188732
0.81298.9582963969222.59319945882716
0.82299.7214381417452.66698263964573
0.83300.5165208987372.71513584249799
0.84301.3355766789032.72488376050566
0.85302.1678207194072.68723816587585
0.86303.0009807331672.60131668708217
0.87303.8230689397232.47394522330913
0.88304.6241271544312.3166701178553
0.89305.3977777263742.14320349924797
0.9306.1426664801711.96725664458477
0.91306.8633474046941.80684960918524
0.92307.5691894061671.6767127887123
0.93308.2705470039691.5741731809532
0.94308.9754013971441.47444340229588
0.95309.6940896435291.36288728298104
0.96310.4554711123791.27774111402448
0.97311.3154704409331.28977784150464
0.98312.3080455518931.32295380554489
0.99313.3043895308911.07359336088741


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')