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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, 07 Mar 2010 11:26:47 -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/2010/Mar/07/t1267986504zvcn53tty5xh1co.htm/, Retrieved Fri, 19 Apr 2024 05:32:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74076, Retrieved Fri, 19 Apr 2024 05:32:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

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 O2] [2010-03-07 18:26:47] [bf0252597522c891d765285c82c7204e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
278.1
283.3
287
287.9
279.7
273.2
272.6
274.8
277.2
277.5
278.7
279
280.1
280.8
280.1
270.5
260
258.2
260.1
262.2
263.4
264.7
267.4
266.8
265.2
262.5
255
252.8
249.6
254.2
259.4
260.8
261.6
257.2
249.8
235.2
227.4
223.1
221.6
218.5
220.1
222.1
222.9
222.8
222.1
209
201.7
204.5
208.7
213
218.6
221.9
224.6
226.8
229.6
231.4
229.1
232.7
236.6
242.2
251.5
261.5
266.4
280.9
294.4
308.8
328.8
348.2
365.9
387.5
395.9
395.8

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74076&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74076&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74076&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01202.7840448634712.99373394454645
0.02204.5625499465953.40036680978623
0.03206.5950240663093.79153595603570
0.04208.6403942456204.16926247623715
0.05210.6249732701234.51118761205095
0.06212.5249318548844.67989294888796
0.07214.3063209241484.57671737478296
0.08215.9229347374774.21893060270015
0.09217.3360345181783.70492372896194
0.1218.5297346561173.14857855138372
0.11219.5137714043622.63774750233442
0.12220.3170738682252.22294545032209
0.13220.9786232496931.92720498645984
0.14221.5399591705761.76000240606424
0.15222.0405935998011.72223712006448
0.16222.5157417883051.80613744985438
0.17222.9953654347401.99395150644804
0.18223.5038566269312.26340719605285
0.19224.0601218928072.59212785859115
0.2224.6780557532852.96248348501531
0.21225.3674058364773.36214545339035
0.22226.1349278237443.78627172201508
0.23226.9856138087594.23480571271136
0.24227.9237190642544.7117877542161
0.25228.9533352210385.22105719684802
0.26230.0783561872545.76377966438794
0.27231.3018292879056.3324393291356
0.28232.6248392581016.91143450665572
0.29234.0451967409957.47654763755359
0.3235.5562641369327.99674989471699
0.31237.1462344467298.43890062452448
0.32238.7980873190758.77253473783285
0.33240.4903034068948.97356133046856
0.34242.1982582788969.02803890267727
0.35243.8960786599228.9347940798908
0.36245.5586581920308.7035341658715
0.37247.1635141964088.35479760563366
0.38248.6922198012647.91472788401346
0.39250.1312492034417.41442174327954
0.4251.4721988924956.88164914498983
0.41252.7114633355056.34271794080391
0.42253.8495250595275.81697311657069
0.43254.8900533692665.31856370921333
0.44255.8389937632554.85613606637398
0.45256.7037833134034.43431237592674
0.46257.4927638079314.05557834190981
0.47258.2148025638953.72156697342924
0.48258.8790842644053.43386704730896
0.49259.4950127421863.19442800697739
0.5260.0721589956473.00599774863081
0.51260.6202052601112.86897442867293
0.52261.1488564542292.78585327725986
0.53261.6677116857552.75517894986661
0.54262.1861037640772.7753878024374
0.55262.7129210153432.84268395094152
0.56263.2564235438992.95215684305194
0.57263.8240584107453.09845496372112
0.58264.4222694215293.27447814786399
0.59265.0562918496713.47354689566380
0.6265.7299237875583.6874492774595
0.61266.4452750456493.90621961484907
0.62267.2025100619254.11900747481787
0.63267.9996191681524.31380257628955
0.64268.8322673531914.47720618477826
0.65269.6937759906574.59710005312143
0.66270.5752871938394.6628211791741
0.67271.4661418749814.66552597422252
0.68272.3544741086434.60061724959082
0.69273.2279919980034.4683682767903
0.7274.0748865980634.27401653330613
0.71274.8847930168314.02702183519085
0.72275.6497268194443.74176082268939
0.73276.3649357630443.43595103232926
0.74277.0296388599323.12939344599566
0.75277.6476655415482.84427332027039
0.76278.2280499063292.60437721526167
0.77278.7856733524962.43651399532473
0.78279.3420823490742.36992518988623
0.79279.9266389245882.43793649825367
0.8280.5781879945932.67583219867183
0.81281.3474292532943.12095191708718
0.82282.3001128594903.81571637998946
0.83283.5209568909034.81244350192294
0.84285.1177271594986.17561379278715
0.85287.2242096569287.97493594325218
0.86289.99998782172910.2673524271465
0.87293.62438360894513.0704874187945
0.88298.28217273760116.3280013488145
0.89304.14017218510319.8806208635159
0.9311.31637656651223.4555072260128
0.91319.84586744175826.6854009489738
0.92329.64835860781129.1585417384616
0.93340.49975951442830.4792342761568
0.94352.00647078278830.3066230158979
0.95363.58304435135328.3571989341865
0.96374.45017908894924.4247500754702
0.97383.70086971118.5400452546434
0.98390.50198294702811.333787712555
0.99394.4468203822144.40372004840098

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 202.784044863471 & 2.99373394454645 \tabularnewline
0.02 & 204.562549946595 & 3.40036680978623 \tabularnewline
0.03 & 206.595024066309 & 3.79153595603570 \tabularnewline
0.04 & 208.640394245620 & 4.16926247623715 \tabularnewline
0.05 & 210.624973270123 & 4.51118761205095 \tabularnewline
0.06 & 212.524931854884 & 4.67989294888796 \tabularnewline
0.07 & 214.306320924148 & 4.57671737478296 \tabularnewline
0.08 & 215.922934737477 & 4.21893060270015 \tabularnewline
0.09 & 217.336034518178 & 3.70492372896194 \tabularnewline
0.1 & 218.529734656117 & 3.14857855138372 \tabularnewline
0.11 & 219.513771404362 & 2.63774750233442 \tabularnewline
0.12 & 220.317073868225 & 2.22294545032209 \tabularnewline
0.13 & 220.978623249693 & 1.92720498645984 \tabularnewline
0.14 & 221.539959170576 & 1.76000240606424 \tabularnewline
0.15 & 222.040593599801 & 1.72223712006448 \tabularnewline
0.16 & 222.515741788305 & 1.80613744985438 \tabularnewline
0.17 & 222.995365434740 & 1.99395150644804 \tabularnewline
0.18 & 223.503856626931 & 2.26340719605285 \tabularnewline
0.19 & 224.060121892807 & 2.59212785859115 \tabularnewline
0.2 & 224.678055753285 & 2.96248348501531 \tabularnewline
0.21 & 225.367405836477 & 3.36214545339035 \tabularnewline
0.22 & 226.134927823744 & 3.78627172201508 \tabularnewline
0.23 & 226.985613808759 & 4.23480571271136 \tabularnewline
0.24 & 227.923719064254 & 4.7117877542161 \tabularnewline
0.25 & 228.953335221038 & 5.22105719684802 \tabularnewline
0.26 & 230.078356187254 & 5.76377966438794 \tabularnewline
0.27 & 231.301829287905 & 6.3324393291356 \tabularnewline
0.28 & 232.624839258101 & 6.91143450665572 \tabularnewline
0.29 & 234.045196740995 & 7.47654763755359 \tabularnewline
0.3 & 235.556264136932 & 7.99674989471699 \tabularnewline
0.31 & 237.146234446729 & 8.43890062452448 \tabularnewline
0.32 & 238.798087319075 & 8.77253473783285 \tabularnewline
0.33 & 240.490303406894 & 8.97356133046856 \tabularnewline
0.34 & 242.198258278896 & 9.02803890267727 \tabularnewline
0.35 & 243.896078659922 & 8.9347940798908 \tabularnewline
0.36 & 245.558658192030 & 8.7035341658715 \tabularnewline
0.37 & 247.163514196408 & 8.35479760563366 \tabularnewline
0.38 & 248.692219801264 & 7.91472788401346 \tabularnewline
0.39 & 250.131249203441 & 7.41442174327954 \tabularnewline
0.4 & 251.472198892495 & 6.88164914498983 \tabularnewline
0.41 & 252.711463335505 & 6.34271794080391 \tabularnewline
0.42 & 253.849525059527 & 5.81697311657069 \tabularnewline
0.43 & 254.890053369266 & 5.31856370921333 \tabularnewline
0.44 & 255.838993763255 & 4.85613606637398 \tabularnewline
0.45 & 256.703783313403 & 4.43431237592674 \tabularnewline
0.46 & 257.492763807931 & 4.05557834190981 \tabularnewline
0.47 & 258.214802563895 & 3.72156697342924 \tabularnewline
0.48 & 258.879084264405 & 3.43386704730896 \tabularnewline
0.49 & 259.495012742186 & 3.19442800697739 \tabularnewline
0.5 & 260.072158995647 & 3.00599774863081 \tabularnewline
0.51 & 260.620205260111 & 2.86897442867293 \tabularnewline
0.52 & 261.148856454229 & 2.78585327725986 \tabularnewline
0.53 & 261.667711685755 & 2.75517894986661 \tabularnewline
0.54 & 262.186103764077 & 2.7753878024374 \tabularnewline
0.55 & 262.712921015343 & 2.84268395094152 \tabularnewline
0.56 & 263.256423543899 & 2.95215684305194 \tabularnewline
0.57 & 263.824058410745 & 3.09845496372112 \tabularnewline
0.58 & 264.422269421529 & 3.27447814786399 \tabularnewline
0.59 & 265.056291849671 & 3.47354689566380 \tabularnewline
0.6 & 265.729923787558 & 3.6874492774595 \tabularnewline
0.61 & 266.445275045649 & 3.90621961484907 \tabularnewline
0.62 & 267.202510061925 & 4.11900747481787 \tabularnewline
0.63 & 267.999619168152 & 4.31380257628955 \tabularnewline
0.64 & 268.832267353191 & 4.47720618477826 \tabularnewline
0.65 & 269.693775990657 & 4.59710005312143 \tabularnewline
0.66 & 270.575287193839 & 4.6628211791741 \tabularnewline
0.67 & 271.466141874981 & 4.66552597422252 \tabularnewline
0.68 & 272.354474108643 & 4.60061724959082 \tabularnewline
0.69 & 273.227991998003 & 4.4683682767903 \tabularnewline
0.7 & 274.074886598063 & 4.27401653330613 \tabularnewline
0.71 & 274.884793016831 & 4.02702183519085 \tabularnewline
0.72 & 275.649726819444 & 3.74176082268939 \tabularnewline
0.73 & 276.364935763044 & 3.43595103232926 \tabularnewline
0.74 & 277.029638859932 & 3.12939344599566 \tabularnewline
0.75 & 277.647665541548 & 2.84427332027039 \tabularnewline
0.76 & 278.228049906329 & 2.60437721526167 \tabularnewline
0.77 & 278.785673352496 & 2.43651399532473 \tabularnewline
0.78 & 279.342082349074 & 2.36992518988623 \tabularnewline
0.79 & 279.926638924588 & 2.43793649825367 \tabularnewline
0.8 & 280.578187994593 & 2.67583219867183 \tabularnewline
0.81 & 281.347429253294 & 3.12095191708718 \tabularnewline
0.82 & 282.300112859490 & 3.81571637998946 \tabularnewline
0.83 & 283.520956890903 & 4.81244350192294 \tabularnewline
0.84 & 285.117727159498 & 6.17561379278715 \tabularnewline
0.85 & 287.224209656928 & 7.97493594325218 \tabularnewline
0.86 & 289.999987821729 & 10.2673524271465 \tabularnewline
0.87 & 293.624383608945 & 13.0704874187945 \tabularnewline
0.88 & 298.282172737601 & 16.3280013488145 \tabularnewline
0.89 & 304.140172185103 & 19.8806208635159 \tabularnewline
0.9 & 311.316376566512 & 23.4555072260128 \tabularnewline
0.91 & 319.845867441758 & 26.6854009489738 \tabularnewline
0.92 & 329.648358607811 & 29.1585417384616 \tabularnewline
0.93 & 340.499759514428 & 30.4792342761568 \tabularnewline
0.94 & 352.006470782788 & 30.3066230158979 \tabularnewline
0.95 & 363.583044351353 & 28.3571989341865 \tabularnewline
0.96 & 374.450179088949 & 24.4247500754702 \tabularnewline
0.97 & 383.700869711 & 18.5400452546434 \tabularnewline
0.98 & 390.501982947028 & 11.333787712555 \tabularnewline
0.99 & 394.446820382214 & 4.40372004840098 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74076&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]202.784044863471[/C][C]2.99373394454645[/C][/ROW]
[ROW][C]0.02[/C][C]204.562549946595[/C][C]3.40036680978623[/C][/ROW]
[ROW][C]0.03[/C][C]206.595024066309[/C][C]3.79153595603570[/C][/ROW]
[ROW][C]0.04[/C][C]208.640394245620[/C][C]4.16926247623715[/C][/ROW]
[ROW][C]0.05[/C][C]210.624973270123[/C][C]4.51118761205095[/C][/ROW]
[ROW][C]0.06[/C][C]212.524931854884[/C][C]4.67989294888796[/C][/ROW]
[ROW][C]0.07[/C][C]214.306320924148[/C][C]4.57671737478296[/C][/ROW]
[ROW][C]0.08[/C][C]215.922934737477[/C][C]4.21893060270015[/C][/ROW]
[ROW][C]0.09[/C][C]217.336034518178[/C][C]3.70492372896194[/C][/ROW]
[ROW][C]0.1[/C][C]218.529734656117[/C][C]3.14857855138372[/C][/ROW]
[ROW][C]0.11[/C][C]219.513771404362[/C][C]2.63774750233442[/C][/ROW]
[ROW][C]0.12[/C][C]220.317073868225[/C][C]2.22294545032209[/C][/ROW]
[ROW][C]0.13[/C][C]220.978623249693[/C][C]1.92720498645984[/C][/ROW]
[ROW][C]0.14[/C][C]221.539959170576[/C][C]1.76000240606424[/C][/ROW]
[ROW][C]0.15[/C][C]222.040593599801[/C][C]1.72223712006448[/C][/ROW]
[ROW][C]0.16[/C][C]222.515741788305[/C][C]1.80613744985438[/C][/ROW]
[ROW][C]0.17[/C][C]222.995365434740[/C][C]1.99395150644804[/C][/ROW]
[ROW][C]0.18[/C][C]223.503856626931[/C][C]2.26340719605285[/C][/ROW]
[ROW][C]0.19[/C][C]224.060121892807[/C][C]2.59212785859115[/C][/ROW]
[ROW][C]0.2[/C][C]224.678055753285[/C][C]2.96248348501531[/C][/ROW]
[ROW][C]0.21[/C][C]225.367405836477[/C][C]3.36214545339035[/C][/ROW]
[ROW][C]0.22[/C][C]226.134927823744[/C][C]3.78627172201508[/C][/ROW]
[ROW][C]0.23[/C][C]226.985613808759[/C][C]4.23480571271136[/C][/ROW]
[ROW][C]0.24[/C][C]227.923719064254[/C][C]4.7117877542161[/C][/ROW]
[ROW][C]0.25[/C][C]228.953335221038[/C][C]5.22105719684802[/C][/ROW]
[ROW][C]0.26[/C][C]230.078356187254[/C][C]5.76377966438794[/C][/ROW]
[ROW][C]0.27[/C][C]231.301829287905[/C][C]6.3324393291356[/C][/ROW]
[ROW][C]0.28[/C][C]232.624839258101[/C][C]6.91143450665572[/C][/ROW]
[ROW][C]0.29[/C][C]234.045196740995[/C][C]7.47654763755359[/C][/ROW]
[ROW][C]0.3[/C][C]235.556264136932[/C][C]7.99674989471699[/C][/ROW]
[ROW][C]0.31[/C][C]237.146234446729[/C][C]8.43890062452448[/C][/ROW]
[ROW][C]0.32[/C][C]238.798087319075[/C][C]8.77253473783285[/C][/ROW]
[ROW][C]0.33[/C][C]240.490303406894[/C][C]8.97356133046856[/C][/ROW]
[ROW][C]0.34[/C][C]242.198258278896[/C][C]9.02803890267727[/C][/ROW]
[ROW][C]0.35[/C][C]243.896078659922[/C][C]8.9347940798908[/C][/ROW]
[ROW][C]0.36[/C][C]245.558658192030[/C][C]8.7035341658715[/C][/ROW]
[ROW][C]0.37[/C][C]247.163514196408[/C][C]8.35479760563366[/C][/ROW]
[ROW][C]0.38[/C][C]248.692219801264[/C][C]7.91472788401346[/C][/ROW]
[ROW][C]0.39[/C][C]250.131249203441[/C][C]7.41442174327954[/C][/ROW]
[ROW][C]0.4[/C][C]251.472198892495[/C][C]6.88164914498983[/C][/ROW]
[ROW][C]0.41[/C][C]252.711463335505[/C][C]6.34271794080391[/C][/ROW]
[ROW][C]0.42[/C][C]253.849525059527[/C][C]5.81697311657069[/C][/ROW]
[ROW][C]0.43[/C][C]254.890053369266[/C][C]5.31856370921333[/C][/ROW]
[ROW][C]0.44[/C][C]255.838993763255[/C][C]4.85613606637398[/C][/ROW]
[ROW][C]0.45[/C][C]256.703783313403[/C][C]4.43431237592674[/C][/ROW]
[ROW][C]0.46[/C][C]257.492763807931[/C][C]4.05557834190981[/C][/ROW]
[ROW][C]0.47[/C][C]258.214802563895[/C][C]3.72156697342924[/C][/ROW]
[ROW][C]0.48[/C][C]258.879084264405[/C][C]3.43386704730896[/C][/ROW]
[ROW][C]0.49[/C][C]259.495012742186[/C][C]3.19442800697739[/C][/ROW]
[ROW][C]0.5[/C][C]260.072158995647[/C][C]3.00599774863081[/C][/ROW]
[ROW][C]0.51[/C][C]260.620205260111[/C][C]2.86897442867293[/C][/ROW]
[ROW][C]0.52[/C][C]261.148856454229[/C][C]2.78585327725986[/C][/ROW]
[ROW][C]0.53[/C][C]261.667711685755[/C][C]2.75517894986661[/C][/ROW]
[ROW][C]0.54[/C][C]262.186103764077[/C][C]2.7753878024374[/C][/ROW]
[ROW][C]0.55[/C][C]262.712921015343[/C][C]2.84268395094152[/C][/ROW]
[ROW][C]0.56[/C][C]263.256423543899[/C][C]2.95215684305194[/C][/ROW]
[ROW][C]0.57[/C][C]263.824058410745[/C][C]3.09845496372112[/C][/ROW]
[ROW][C]0.58[/C][C]264.422269421529[/C][C]3.27447814786399[/C][/ROW]
[ROW][C]0.59[/C][C]265.056291849671[/C][C]3.47354689566380[/C][/ROW]
[ROW][C]0.6[/C][C]265.729923787558[/C][C]3.6874492774595[/C][/ROW]
[ROW][C]0.61[/C][C]266.445275045649[/C][C]3.90621961484907[/C][/ROW]
[ROW][C]0.62[/C][C]267.202510061925[/C][C]4.11900747481787[/C][/ROW]
[ROW][C]0.63[/C][C]267.999619168152[/C][C]4.31380257628955[/C][/ROW]
[ROW][C]0.64[/C][C]268.832267353191[/C][C]4.47720618477826[/C][/ROW]
[ROW][C]0.65[/C][C]269.693775990657[/C][C]4.59710005312143[/C][/ROW]
[ROW][C]0.66[/C][C]270.575287193839[/C][C]4.6628211791741[/C][/ROW]
[ROW][C]0.67[/C][C]271.466141874981[/C][C]4.66552597422252[/C][/ROW]
[ROW][C]0.68[/C][C]272.354474108643[/C][C]4.60061724959082[/C][/ROW]
[ROW][C]0.69[/C][C]273.227991998003[/C][C]4.4683682767903[/C][/ROW]
[ROW][C]0.7[/C][C]274.074886598063[/C][C]4.27401653330613[/C][/ROW]
[ROW][C]0.71[/C][C]274.884793016831[/C][C]4.02702183519085[/C][/ROW]
[ROW][C]0.72[/C][C]275.649726819444[/C][C]3.74176082268939[/C][/ROW]
[ROW][C]0.73[/C][C]276.364935763044[/C][C]3.43595103232926[/C][/ROW]
[ROW][C]0.74[/C][C]277.029638859932[/C][C]3.12939344599566[/C][/ROW]
[ROW][C]0.75[/C][C]277.647665541548[/C][C]2.84427332027039[/C][/ROW]
[ROW][C]0.76[/C][C]278.228049906329[/C][C]2.60437721526167[/C][/ROW]
[ROW][C]0.77[/C][C]278.785673352496[/C][C]2.43651399532473[/C][/ROW]
[ROW][C]0.78[/C][C]279.342082349074[/C][C]2.36992518988623[/C][/ROW]
[ROW][C]0.79[/C][C]279.926638924588[/C][C]2.43793649825367[/C][/ROW]
[ROW][C]0.8[/C][C]280.578187994593[/C][C]2.67583219867183[/C][/ROW]
[ROW][C]0.81[/C][C]281.347429253294[/C][C]3.12095191708718[/C][/ROW]
[ROW][C]0.82[/C][C]282.300112859490[/C][C]3.81571637998946[/C][/ROW]
[ROW][C]0.83[/C][C]283.520956890903[/C][C]4.81244350192294[/C][/ROW]
[ROW][C]0.84[/C][C]285.117727159498[/C][C]6.17561379278715[/C][/ROW]
[ROW][C]0.85[/C][C]287.224209656928[/C][C]7.97493594325218[/C][/ROW]
[ROW][C]0.86[/C][C]289.999987821729[/C][C]10.2673524271465[/C][/ROW]
[ROW][C]0.87[/C][C]293.624383608945[/C][C]13.0704874187945[/C][/ROW]
[ROW][C]0.88[/C][C]298.282172737601[/C][C]16.3280013488145[/C][/ROW]
[ROW][C]0.89[/C][C]304.140172185103[/C][C]19.8806208635159[/C][/ROW]
[ROW][C]0.9[/C][C]311.316376566512[/C][C]23.4555072260128[/C][/ROW]
[ROW][C]0.91[/C][C]319.845867441758[/C][C]26.6854009489738[/C][/ROW]
[ROW][C]0.92[/C][C]329.648358607811[/C][C]29.1585417384616[/C][/ROW]
[ROW][C]0.93[/C][C]340.499759514428[/C][C]30.4792342761568[/C][/ROW]
[ROW][C]0.94[/C][C]352.006470782788[/C][C]30.3066230158979[/C][/ROW]
[ROW][C]0.95[/C][C]363.583044351353[/C][C]28.3571989341865[/C][/ROW]
[ROW][C]0.96[/C][C]374.450179088949[/C][C]24.4247500754702[/C][/ROW]
[ROW][C]0.97[/C][C]383.700869711[/C][C]18.5400452546434[/C][/ROW]
[ROW][C]0.98[/C][C]390.501982947028[/C][C]11.333787712555[/C][/ROW]
[ROW][C]0.99[/C][C]394.446820382214[/C][C]4.40372004840098[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74076&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74076&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
0.01202.7840448634712.99373394454645
0.02204.5625499465953.40036680978623
0.03206.5950240663093.79153595603570
0.04208.6403942456204.16926247623715
0.05210.6249732701234.51118761205095
0.06212.5249318548844.67989294888796
0.07214.3063209241484.57671737478296
0.08215.9229347374774.21893060270015
0.09217.3360345181783.70492372896194
0.1218.5297346561173.14857855138372
0.11219.5137714043622.63774750233442
0.12220.3170738682252.22294545032209
0.13220.9786232496931.92720498645984
0.14221.5399591705761.76000240606424
0.15222.0405935998011.72223712006448
0.16222.5157417883051.80613744985438
0.17222.9953654347401.99395150644804
0.18223.5038566269312.26340719605285
0.19224.0601218928072.59212785859115
0.2224.6780557532852.96248348501531
0.21225.3674058364773.36214545339035
0.22226.1349278237443.78627172201508
0.23226.9856138087594.23480571271136
0.24227.9237190642544.7117877542161
0.25228.9533352210385.22105719684802
0.26230.0783561872545.76377966438794
0.27231.3018292879056.3324393291356
0.28232.6248392581016.91143450665572
0.29234.0451967409957.47654763755359
0.3235.5562641369327.99674989471699
0.31237.1462344467298.43890062452448
0.32238.7980873190758.77253473783285
0.33240.4903034068948.97356133046856
0.34242.1982582788969.02803890267727
0.35243.8960786599228.9347940798908
0.36245.5586581920308.7035341658715
0.37247.1635141964088.35479760563366
0.38248.6922198012647.91472788401346
0.39250.1312492034417.41442174327954
0.4251.4721988924956.88164914498983
0.41252.7114633355056.34271794080391
0.42253.8495250595275.81697311657069
0.43254.8900533692665.31856370921333
0.44255.8389937632554.85613606637398
0.45256.7037833134034.43431237592674
0.46257.4927638079314.05557834190981
0.47258.2148025638953.72156697342924
0.48258.8790842644053.43386704730896
0.49259.4950127421863.19442800697739
0.5260.0721589956473.00599774863081
0.51260.6202052601112.86897442867293
0.52261.1488564542292.78585327725986
0.53261.6677116857552.75517894986661
0.54262.1861037640772.7753878024374
0.55262.7129210153432.84268395094152
0.56263.2564235438992.95215684305194
0.57263.8240584107453.09845496372112
0.58264.4222694215293.27447814786399
0.59265.0562918496713.47354689566380
0.6265.7299237875583.6874492774595
0.61266.4452750456493.90621961484907
0.62267.2025100619254.11900747481787
0.63267.9996191681524.31380257628955
0.64268.8322673531914.47720618477826
0.65269.6937759906574.59710005312143
0.66270.5752871938394.6628211791741
0.67271.4661418749814.66552597422252
0.68272.3544741086434.60061724959082
0.69273.2279919980034.4683682767903
0.7274.0748865980634.27401653330613
0.71274.8847930168314.02702183519085
0.72275.6497268194443.74176082268939
0.73276.3649357630443.43595103232926
0.74277.0296388599323.12939344599566
0.75277.6476655415482.84427332027039
0.76278.2280499063292.60437721526167
0.77278.7856733524962.43651399532473
0.78279.3420823490742.36992518988623
0.79279.9266389245882.43793649825367
0.8280.5781879945932.67583219867183
0.81281.3474292532943.12095191708718
0.82282.3001128594903.81571637998946
0.83283.5209568909034.81244350192294
0.84285.1177271594986.17561379278715
0.85287.2242096569287.97493594325218
0.86289.99998782172910.2673524271465
0.87293.62438360894513.0704874187945
0.88298.28217273760116.3280013488145
0.89304.14017218510319.8806208635159
0.9311.31637656651223.4555072260128
0.91319.84586744175826.6854009489738
0.92329.64835860781129.1585417384616
0.93340.49975951442830.4792342761568
0.94352.00647078278830.3066230158979
0.95363.58304435135328.3571989341865
0.96374.45017908894924.4247500754702
0.97383.70086971118.5400452546434
0.98390.50198294702811.333787712555
0.99394.4468203822144.40372004840098


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):
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')