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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, 10 Oct 2013 09:16:29 -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/Oct/10/t1381411210ib6oq7m49m25xp6.htm/, Retrieved Thu, 02 May 2024 16:00:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=214564, Retrieved Thu, 02 May 2024 16:00:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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] [] [2013-10-10 13:16:29] [154a417cb3d2e1b589b01477b4193420] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13953.3
14657.7
16686.2
15232.4
15014.1
16688.6
13969.6
14546.8
16292
15039
17433.8
17798.4
16870.9
16659.3
19620.4
15953.5
17420.9
17647.5
15200.8
15637.3
17124.5
17659.4
17815
16165.6
17416.6
16823.9
19171.2
16806.8
18112.8
18485.5
17668
16324.3
17877.5
20136.7
19307
17776.3
19861.3
18757
19879.3
21068.4
19358
20639.2
20008.1
18150.1
21180.4
20428.9
17241.2
15969.3
14972.4
14488.3
15885.1
14305.3
13891.5
15431.6
14199.3
13542.6
16226.3
16786.1
16034.3
16744.5
15896.5
15781.8
18590.3
17416.8
16983
18829.4
16748.6
16502.8
18616.6
19136.4
19523.9
18970.2
20118.2
20125.4
23117.8
20014.6
22228.5
20819.1
19208.9
19953.3
21041.3
20006.8
21045.1
20496.3
20873.5
21304.2
23137.8
20514.2
21343.5
20967.2
20024.4
19602.7
19804.1
22173.9
21802.6
19452.2

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214564&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214564&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214564&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113678.8892931772248.97288355225
0.0213845.5853012855169.859302813687
0.0313981.5794837951175.76457258463
0.0414100.6238943442219.800522738399
0.0514221.1636647933259.567002667372
0.0614347.0054861244286.885118264619
0.0714475.2397321414305.632122712509
0.0814602.8365628912319.357761258357
0.0914728.164466549329.360278380819
0.114850.6010994775336.678241972515
0.1114970.1109529398343.240329263987
0.1215087.0050273549350.541504578676
0.1315201.6467949985358.149311722795
0.1415314.0848761798363.60156230065
0.1515423.8118913754363.966314485986
0.1615529.8207554659357.666209591061
0.1715630.9429773365345.178960888094
0.1815726.2909352435329.044642296215
0.1915815.5912244014312.698286435823
0.215899.2779536083299.359774514392
0.2115978.3397107401290.91838375934
0.2216054.01101053287.540615962499
0.2316127.4354334578287.792169790714
0.2416199.4087043049289.465034490841
0.2516270.2611250215290.372247302104
0.2616339.8864580587288.801055507932
0.2716407.8850925735284.036126238872
0.2816473.7684559685276.276204602705
0.2916537.1673153708266.747890215372
0.316597.9945021987257.25437671317
0.3116656.5284849478249.890053881138
0.3216713.4044835505246.510666198626
0.3316769.5208718106248.230316783572
0.3416825.8866427199255.147931351424
0.3516883.4471894664266.319128192845
0.3616942.9282974837280.042637940654
0.3717004.7318041471294.329276674823
0.3817068.9028396405307.366696997296
0.3917135.1715728942317.712417565542
0.417203.0562225477324.766690337335
0.4117272.0024246414328.683066177713
0.4217341.5289827714330.250945323811
0.4317411.3517105678330.87099365609
0.4417481.4639748027332.232823740009
0.4517552.1622302358335.926947793156
0.4617624.0149173719343.358135606325
0.4717697.781901957355.209130753712
0.4817774.298383411371.502787103738
0.4917854.3416841898391.546706288881
0.517938.5014617399413.861470831216
0.5118027.0733998524436.62702566269
0.5218119.9930159099457.816742321276
0.5318216.8198906796475.487859007213
0.5418316.7741642141488.100845827641
0.5518418.8181421978494.664918418382
0.5618521.7683438634494.859560565869
0.5718624.419035681488.934271662335
0.5818725.6580322564477.742585984412
0.5918824.5588971238462.424914858241
0.618920.4392871812444.438142131749
0.6119012.881396872425.032551784047
0.6219101.7159803558405.445451525938
0.6319186.9757067196386.562539696651
0.6419268.8267436574368.959406557861
0.6519347.48983638352.672568336598
0.6619423.1639085872337.543466549992
0.6719495.9660456924322.903239763757
0.6819565.900906574308.138521310398
0.6919632.8693702949292.683478106233
0.719696.7201730903276.243821522799
0.7119757.3397986286259.049865987226
0.7219814.7662208368241.862681235252
0.7319869.3033190464226.040795449097
0.7419921.6073808508213.293819752648
0.7519972.7174501016205.586591974311
0.7620024.0088827471204.364085018204
0.7720077.0641679414210.297453597997
0.7820133.4743100504222.822996904371
0.7920194.6029131241240.057695906614
0.820261.3574692362259.350775536874
0.8120334.0135786839277.752757421171
0.8220412.1277260973292.32295570355
0.8320494.5583307998300.752217328257
0.8420579.6018146424301.449294770826
0.8520665.2461888456293.893809507404
0.8620749.5462087306278.825552697485
0.8720831.1201996405258.515005523844
0.8820909.7481962146237.019323062428
0.8920987.0117593073220.215500619627
0.921066.8577917372215.403580254398
0.9121155.87816596229.773653006581
0.9221262.9805555771267.255782521887
0.9321398.1635538991324.86173131047
0.9421570.7326588511391.07167624025
0.9521788.4080028127450.676207624596
0.9622057.76318413499.235936304929
0.9722379.1742026059541.974467927317
0.9822723.7406541813524.169407661321
0.9923007.7024087109316.625664299044

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13678.8892931772 & 248.97288355225 \tabularnewline
0.02 & 13845.5853012855 & 169.859302813687 \tabularnewline
0.03 & 13981.5794837951 & 175.76457258463 \tabularnewline
0.04 & 14100.6238943442 & 219.800522738399 \tabularnewline
0.05 & 14221.1636647933 & 259.567002667372 \tabularnewline
0.06 & 14347.0054861244 & 286.885118264619 \tabularnewline
0.07 & 14475.2397321414 & 305.632122712509 \tabularnewline
0.08 & 14602.8365628912 & 319.357761258357 \tabularnewline
0.09 & 14728.164466549 & 329.360278380819 \tabularnewline
0.1 & 14850.6010994775 & 336.678241972515 \tabularnewline
0.11 & 14970.1109529398 & 343.240329263987 \tabularnewline
0.12 & 15087.0050273549 & 350.541504578676 \tabularnewline
0.13 & 15201.6467949985 & 358.149311722795 \tabularnewline
0.14 & 15314.0848761798 & 363.60156230065 \tabularnewline
0.15 & 15423.8118913754 & 363.966314485986 \tabularnewline
0.16 & 15529.8207554659 & 357.666209591061 \tabularnewline
0.17 & 15630.9429773365 & 345.178960888094 \tabularnewline
0.18 & 15726.2909352435 & 329.044642296215 \tabularnewline
0.19 & 15815.5912244014 & 312.698286435823 \tabularnewline
0.2 & 15899.2779536083 & 299.359774514392 \tabularnewline
0.21 & 15978.3397107401 & 290.91838375934 \tabularnewline
0.22 & 16054.01101053 & 287.540615962499 \tabularnewline
0.23 & 16127.4354334578 & 287.792169790714 \tabularnewline
0.24 & 16199.4087043049 & 289.465034490841 \tabularnewline
0.25 & 16270.2611250215 & 290.372247302104 \tabularnewline
0.26 & 16339.8864580587 & 288.801055507932 \tabularnewline
0.27 & 16407.8850925735 & 284.036126238872 \tabularnewline
0.28 & 16473.7684559685 & 276.276204602705 \tabularnewline
0.29 & 16537.1673153708 & 266.747890215372 \tabularnewline
0.3 & 16597.9945021987 & 257.25437671317 \tabularnewline
0.31 & 16656.5284849478 & 249.890053881138 \tabularnewline
0.32 & 16713.4044835505 & 246.510666198626 \tabularnewline
0.33 & 16769.5208718106 & 248.230316783572 \tabularnewline
0.34 & 16825.8866427199 & 255.147931351424 \tabularnewline
0.35 & 16883.4471894664 & 266.319128192845 \tabularnewline
0.36 & 16942.9282974837 & 280.042637940654 \tabularnewline
0.37 & 17004.7318041471 & 294.329276674823 \tabularnewline
0.38 & 17068.9028396405 & 307.366696997296 \tabularnewline
0.39 & 17135.1715728942 & 317.712417565542 \tabularnewline
0.4 & 17203.0562225477 & 324.766690337335 \tabularnewline
0.41 & 17272.0024246414 & 328.683066177713 \tabularnewline
0.42 & 17341.5289827714 & 330.250945323811 \tabularnewline
0.43 & 17411.3517105678 & 330.87099365609 \tabularnewline
0.44 & 17481.4639748027 & 332.232823740009 \tabularnewline
0.45 & 17552.1622302358 & 335.926947793156 \tabularnewline
0.46 & 17624.0149173719 & 343.358135606325 \tabularnewline
0.47 & 17697.781901957 & 355.209130753712 \tabularnewline
0.48 & 17774.298383411 & 371.502787103738 \tabularnewline
0.49 & 17854.3416841898 & 391.546706288881 \tabularnewline
0.5 & 17938.5014617399 & 413.861470831216 \tabularnewline
0.51 & 18027.0733998524 & 436.62702566269 \tabularnewline
0.52 & 18119.9930159099 & 457.816742321276 \tabularnewline
0.53 & 18216.8198906796 & 475.487859007213 \tabularnewline
0.54 & 18316.7741642141 & 488.100845827641 \tabularnewline
0.55 & 18418.8181421978 & 494.664918418382 \tabularnewline
0.56 & 18521.7683438634 & 494.859560565869 \tabularnewline
0.57 & 18624.419035681 & 488.934271662335 \tabularnewline
0.58 & 18725.6580322564 & 477.742585984412 \tabularnewline
0.59 & 18824.5588971238 & 462.424914858241 \tabularnewline
0.6 & 18920.4392871812 & 444.438142131749 \tabularnewline
0.61 & 19012.881396872 & 425.032551784047 \tabularnewline
0.62 & 19101.7159803558 & 405.445451525938 \tabularnewline
0.63 & 19186.9757067196 & 386.562539696651 \tabularnewline
0.64 & 19268.8267436574 & 368.959406557861 \tabularnewline
0.65 & 19347.48983638 & 352.672568336598 \tabularnewline
0.66 & 19423.1639085872 & 337.543466549992 \tabularnewline
0.67 & 19495.9660456924 & 322.903239763757 \tabularnewline
0.68 & 19565.900906574 & 308.138521310398 \tabularnewline
0.69 & 19632.8693702949 & 292.683478106233 \tabularnewline
0.7 & 19696.7201730903 & 276.243821522799 \tabularnewline
0.71 & 19757.3397986286 & 259.049865987226 \tabularnewline
0.72 & 19814.7662208368 & 241.862681235252 \tabularnewline
0.73 & 19869.3033190464 & 226.040795449097 \tabularnewline
0.74 & 19921.6073808508 & 213.293819752648 \tabularnewline
0.75 & 19972.7174501016 & 205.586591974311 \tabularnewline
0.76 & 20024.0088827471 & 204.364085018204 \tabularnewline
0.77 & 20077.0641679414 & 210.297453597997 \tabularnewline
0.78 & 20133.4743100504 & 222.822996904371 \tabularnewline
0.79 & 20194.6029131241 & 240.057695906614 \tabularnewline
0.8 & 20261.3574692362 & 259.350775536874 \tabularnewline
0.81 & 20334.0135786839 & 277.752757421171 \tabularnewline
0.82 & 20412.1277260973 & 292.32295570355 \tabularnewline
0.83 & 20494.5583307998 & 300.752217328257 \tabularnewline
0.84 & 20579.6018146424 & 301.449294770826 \tabularnewline
0.85 & 20665.2461888456 & 293.893809507404 \tabularnewline
0.86 & 20749.5462087306 & 278.825552697485 \tabularnewline
0.87 & 20831.1201996405 & 258.515005523844 \tabularnewline
0.88 & 20909.7481962146 & 237.019323062428 \tabularnewline
0.89 & 20987.0117593073 & 220.215500619627 \tabularnewline
0.9 & 21066.8577917372 & 215.403580254398 \tabularnewline
0.91 & 21155.87816596 & 229.773653006581 \tabularnewline
0.92 & 21262.9805555771 & 267.255782521887 \tabularnewline
0.93 & 21398.1635538991 & 324.86173131047 \tabularnewline
0.94 & 21570.7326588511 & 391.07167624025 \tabularnewline
0.95 & 21788.4080028127 & 450.676207624596 \tabularnewline
0.96 & 22057.76318413 & 499.235936304929 \tabularnewline
0.97 & 22379.1742026059 & 541.974467927317 \tabularnewline
0.98 & 22723.7406541813 & 524.169407661321 \tabularnewline
0.99 & 23007.7024087109 & 316.625664299044 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=214564&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]13678.8892931772[/C][C]248.97288355225[/C][/ROW]
[ROW][C]0.02[/C][C]13845.5853012855[/C][C]169.859302813687[/C][/ROW]
[ROW][C]0.03[/C][C]13981.5794837951[/C][C]175.76457258463[/C][/ROW]
[ROW][C]0.04[/C][C]14100.6238943442[/C][C]219.800522738399[/C][/ROW]
[ROW][C]0.05[/C][C]14221.1636647933[/C][C]259.567002667372[/C][/ROW]
[ROW][C]0.06[/C][C]14347.0054861244[/C][C]286.885118264619[/C][/ROW]
[ROW][C]0.07[/C][C]14475.2397321414[/C][C]305.632122712509[/C][/ROW]
[ROW][C]0.08[/C][C]14602.8365628912[/C][C]319.357761258357[/C][/ROW]
[ROW][C]0.09[/C][C]14728.164466549[/C][C]329.360278380819[/C][/ROW]
[ROW][C]0.1[/C][C]14850.6010994775[/C][C]336.678241972515[/C][/ROW]
[ROW][C]0.11[/C][C]14970.1109529398[/C][C]343.240329263987[/C][/ROW]
[ROW][C]0.12[/C][C]15087.0050273549[/C][C]350.541504578676[/C][/ROW]
[ROW][C]0.13[/C][C]15201.6467949985[/C][C]358.149311722795[/C][/ROW]
[ROW][C]0.14[/C][C]15314.0848761798[/C][C]363.60156230065[/C][/ROW]
[ROW][C]0.15[/C][C]15423.8118913754[/C][C]363.966314485986[/C][/ROW]
[ROW][C]0.16[/C][C]15529.8207554659[/C][C]357.666209591061[/C][/ROW]
[ROW][C]0.17[/C][C]15630.9429773365[/C][C]345.178960888094[/C][/ROW]
[ROW][C]0.18[/C][C]15726.2909352435[/C][C]329.044642296215[/C][/ROW]
[ROW][C]0.19[/C][C]15815.5912244014[/C][C]312.698286435823[/C][/ROW]
[ROW][C]0.2[/C][C]15899.2779536083[/C][C]299.359774514392[/C][/ROW]
[ROW][C]0.21[/C][C]15978.3397107401[/C][C]290.91838375934[/C][/ROW]
[ROW][C]0.22[/C][C]16054.01101053[/C][C]287.540615962499[/C][/ROW]
[ROW][C]0.23[/C][C]16127.4354334578[/C][C]287.792169790714[/C][/ROW]
[ROW][C]0.24[/C][C]16199.4087043049[/C][C]289.465034490841[/C][/ROW]
[ROW][C]0.25[/C][C]16270.2611250215[/C][C]290.372247302104[/C][/ROW]
[ROW][C]0.26[/C][C]16339.8864580587[/C][C]288.801055507932[/C][/ROW]
[ROW][C]0.27[/C][C]16407.8850925735[/C][C]284.036126238872[/C][/ROW]
[ROW][C]0.28[/C][C]16473.7684559685[/C][C]276.276204602705[/C][/ROW]
[ROW][C]0.29[/C][C]16537.1673153708[/C][C]266.747890215372[/C][/ROW]
[ROW][C]0.3[/C][C]16597.9945021987[/C][C]257.25437671317[/C][/ROW]
[ROW][C]0.31[/C][C]16656.5284849478[/C][C]249.890053881138[/C][/ROW]
[ROW][C]0.32[/C][C]16713.4044835505[/C][C]246.510666198626[/C][/ROW]
[ROW][C]0.33[/C][C]16769.5208718106[/C][C]248.230316783572[/C][/ROW]
[ROW][C]0.34[/C][C]16825.8866427199[/C][C]255.147931351424[/C][/ROW]
[ROW][C]0.35[/C][C]16883.4471894664[/C][C]266.319128192845[/C][/ROW]
[ROW][C]0.36[/C][C]16942.9282974837[/C][C]280.042637940654[/C][/ROW]
[ROW][C]0.37[/C][C]17004.7318041471[/C][C]294.329276674823[/C][/ROW]
[ROW][C]0.38[/C][C]17068.9028396405[/C][C]307.366696997296[/C][/ROW]
[ROW][C]0.39[/C][C]17135.1715728942[/C][C]317.712417565542[/C][/ROW]
[ROW][C]0.4[/C][C]17203.0562225477[/C][C]324.766690337335[/C][/ROW]
[ROW][C]0.41[/C][C]17272.0024246414[/C][C]328.683066177713[/C][/ROW]
[ROW][C]0.42[/C][C]17341.5289827714[/C][C]330.250945323811[/C][/ROW]
[ROW][C]0.43[/C][C]17411.3517105678[/C][C]330.87099365609[/C][/ROW]
[ROW][C]0.44[/C][C]17481.4639748027[/C][C]332.232823740009[/C][/ROW]
[ROW][C]0.45[/C][C]17552.1622302358[/C][C]335.926947793156[/C][/ROW]
[ROW][C]0.46[/C][C]17624.0149173719[/C][C]343.358135606325[/C][/ROW]
[ROW][C]0.47[/C][C]17697.781901957[/C][C]355.209130753712[/C][/ROW]
[ROW][C]0.48[/C][C]17774.298383411[/C][C]371.502787103738[/C][/ROW]
[ROW][C]0.49[/C][C]17854.3416841898[/C][C]391.546706288881[/C][/ROW]
[ROW][C]0.5[/C][C]17938.5014617399[/C][C]413.861470831216[/C][/ROW]
[ROW][C]0.51[/C][C]18027.0733998524[/C][C]436.62702566269[/C][/ROW]
[ROW][C]0.52[/C][C]18119.9930159099[/C][C]457.816742321276[/C][/ROW]
[ROW][C]0.53[/C][C]18216.8198906796[/C][C]475.487859007213[/C][/ROW]
[ROW][C]0.54[/C][C]18316.7741642141[/C][C]488.100845827641[/C][/ROW]
[ROW][C]0.55[/C][C]18418.8181421978[/C][C]494.664918418382[/C][/ROW]
[ROW][C]0.56[/C][C]18521.7683438634[/C][C]494.859560565869[/C][/ROW]
[ROW][C]0.57[/C][C]18624.419035681[/C][C]488.934271662335[/C][/ROW]
[ROW][C]0.58[/C][C]18725.6580322564[/C][C]477.742585984412[/C][/ROW]
[ROW][C]0.59[/C][C]18824.5588971238[/C][C]462.424914858241[/C][/ROW]
[ROW][C]0.6[/C][C]18920.4392871812[/C][C]444.438142131749[/C][/ROW]
[ROW][C]0.61[/C][C]19012.881396872[/C][C]425.032551784047[/C][/ROW]
[ROW][C]0.62[/C][C]19101.7159803558[/C][C]405.445451525938[/C][/ROW]
[ROW][C]0.63[/C][C]19186.9757067196[/C][C]386.562539696651[/C][/ROW]
[ROW][C]0.64[/C][C]19268.8267436574[/C][C]368.959406557861[/C][/ROW]
[ROW][C]0.65[/C][C]19347.48983638[/C][C]352.672568336598[/C][/ROW]
[ROW][C]0.66[/C][C]19423.1639085872[/C][C]337.543466549992[/C][/ROW]
[ROW][C]0.67[/C][C]19495.9660456924[/C][C]322.903239763757[/C][/ROW]
[ROW][C]0.68[/C][C]19565.900906574[/C][C]308.138521310398[/C][/ROW]
[ROW][C]0.69[/C][C]19632.8693702949[/C][C]292.683478106233[/C][/ROW]
[ROW][C]0.7[/C][C]19696.7201730903[/C][C]276.243821522799[/C][/ROW]
[ROW][C]0.71[/C][C]19757.3397986286[/C][C]259.049865987226[/C][/ROW]
[ROW][C]0.72[/C][C]19814.7662208368[/C][C]241.862681235252[/C][/ROW]
[ROW][C]0.73[/C][C]19869.3033190464[/C][C]226.040795449097[/C][/ROW]
[ROW][C]0.74[/C][C]19921.6073808508[/C][C]213.293819752648[/C][/ROW]
[ROW][C]0.75[/C][C]19972.7174501016[/C][C]205.586591974311[/C][/ROW]
[ROW][C]0.76[/C][C]20024.0088827471[/C][C]204.364085018204[/C][/ROW]
[ROW][C]0.77[/C][C]20077.0641679414[/C][C]210.297453597997[/C][/ROW]
[ROW][C]0.78[/C][C]20133.4743100504[/C][C]222.822996904371[/C][/ROW]
[ROW][C]0.79[/C][C]20194.6029131241[/C][C]240.057695906614[/C][/ROW]
[ROW][C]0.8[/C][C]20261.3574692362[/C][C]259.350775536874[/C][/ROW]
[ROW][C]0.81[/C][C]20334.0135786839[/C][C]277.752757421171[/C][/ROW]
[ROW][C]0.82[/C][C]20412.1277260973[/C][C]292.32295570355[/C][/ROW]
[ROW][C]0.83[/C][C]20494.5583307998[/C][C]300.752217328257[/C][/ROW]
[ROW][C]0.84[/C][C]20579.6018146424[/C][C]301.449294770826[/C][/ROW]
[ROW][C]0.85[/C][C]20665.2461888456[/C][C]293.893809507404[/C][/ROW]
[ROW][C]0.86[/C][C]20749.5462087306[/C][C]278.825552697485[/C][/ROW]
[ROW][C]0.87[/C][C]20831.1201996405[/C][C]258.515005523844[/C][/ROW]
[ROW][C]0.88[/C][C]20909.7481962146[/C][C]237.019323062428[/C][/ROW]
[ROW][C]0.89[/C][C]20987.0117593073[/C][C]220.215500619627[/C][/ROW]
[ROW][C]0.9[/C][C]21066.8577917372[/C][C]215.403580254398[/C][/ROW]
[ROW][C]0.91[/C][C]21155.87816596[/C][C]229.773653006581[/C][/ROW]
[ROW][C]0.92[/C][C]21262.9805555771[/C][C]267.255782521887[/C][/ROW]
[ROW][C]0.93[/C][C]21398.1635538991[/C][C]324.86173131047[/C][/ROW]
[ROW][C]0.94[/C][C]21570.7326588511[/C][C]391.07167624025[/C][/ROW]
[ROW][C]0.95[/C][C]21788.4080028127[/C][C]450.676207624596[/C][/ROW]
[ROW][C]0.96[/C][C]22057.76318413[/C][C]499.235936304929[/C][/ROW]
[ROW][C]0.97[/C][C]22379.1742026059[/C][C]541.974467927317[/C][/ROW]
[ROW][C]0.98[/C][C]22723.7406541813[/C][C]524.169407661321[/C][/ROW]
[ROW][C]0.99[/C][C]23007.7024087109[/C][C]316.625664299044[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=214564&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=214564&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
0.0113678.8892931772248.97288355225
0.0213845.5853012855169.859302813687
0.0313981.5794837951175.76457258463
0.0414100.6238943442219.800522738399
0.0514221.1636647933259.567002667372
0.0614347.0054861244286.885118264619
0.0714475.2397321414305.632122712509
0.0814602.8365628912319.357761258357
0.0914728.164466549329.360278380819
0.114850.6010994775336.678241972515
0.1114970.1109529398343.240329263987
0.1215087.0050273549350.541504578676
0.1315201.6467949985358.149311722795
0.1415314.0848761798363.60156230065
0.1515423.8118913754363.966314485986
0.1615529.8207554659357.666209591061
0.1715630.9429773365345.178960888094
0.1815726.2909352435329.044642296215
0.1915815.5912244014312.698286435823
0.215899.2779536083299.359774514392
0.2115978.3397107401290.91838375934
0.2216054.01101053287.540615962499
0.2316127.4354334578287.792169790714
0.2416199.4087043049289.465034490841
0.2516270.2611250215290.372247302104
0.2616339.8864580587288.801055507932
0.2716407.8850925735284.036126238872
0.2816473.7684559685276.276204602705
0.2916537.1673153708266.747890215372
0.316597.9945021987257.25437671317
0.3116656.5284849478249.890053881138
0.3216713.4044835505246.510666198626
0.3316769.5208718106248.230316783572
0.3416825.8866427199255.147931351424
0.3516883.4471894664266.319128192845
0.3616942.9282974837280.042637940654
0.3717004.7318041471294.329276674823
0.3817068.9028396405307.366696997296
0.3917135.1715728942317.712417565542
0.417203.0562225477324.766690337335
0.4117272.0024246414328.683066177713
0.4217341.5289827714330.250945323811
0.4317411.3517105678330.87099365609
0.4417481.4639748027332.232823740009
0.4517552.1622302358335.926947793156
0.4617624.0149173719343.358135606325
0.4717697.781901957355.209130753712
0.4817774.298383411371.502787103738
0.4917854.3416841898391.546706288881
0.517938.5014617399413.861470831216
0.5118027.0733998524436.62702566269
0.5218119.9930159099457.816742321276
0.5318216.8198906796475.487859007213
0.5418316.7741642141488.100845827641
0.5518418.8181421978494.664918418382
0.5618521.7683438634494.859560565869
0.5718624.419035681488.934271662335
0.5818725.6580322564477.742585984412
0.5918824.5588971238462.424914858241
0.618920.4392871812444.438142131749
0.6119012.881396872425.032551784047
0.6219101.7159803558405.445451525938
0.6319186.9757067196386.562539696651
0.6419268.8267436574368.959406557861
0.6519347.48983638352.672568336598
0.6619423.1639085872337.543466549992
0.6719495.9660456924322.903239763757
0.6819565.900906574308.138521310398
0.6919632.8693702949292.683478106233
0.719696.7201730903276.243821522799
0.7119757.3397986286259.049865987226
0.7219814.7662208368241.862681235252
0.7319869.3033190464226.040795449097
0.7419921.6073808508213.293819752648
0.7519972.7174501016205.586591974311
0.7620024.0088827471204.364085018204
0.7720077.0641679414210.297453597997
0.7820133.4743100504222.822996904371
0.7920194.6029131241240.057695906614
0.820261.3574692362259.350775536874
0.8120334.0135786839277.752757421171
0.8220412.1277260973292.32295570355
0.8320494.5583307998300.752217328257
0.8420579.6018146424301.449294770826
0.8520665.2461888456293.893809507404
0.8620749.5462087306278.825552697485
0.8720831.1201996405258.515005523844
0.8820909.7481962146237.019323062428
0.8920987.0117593073220.215500619627
0.921066.8577917372215.403580254398
0.9121155.87816596229.773653006581
0.9221262.9805555771267.255782521887
0.9321398.1635538991324.86173131047
0.9421570.7326588511391.07167624025
0.9521788.4080028127450.676207624596
0.9622057.76318413499.235936304929
0.9722379.1742026059541.974467927317
0.9822723.7406541813524.169407661321
0.9923007.7024087109316.625664299044


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')